Saturday, December 28, 2019

What Is Self- Congruity And Consumer Behaviour - 1406 Words

LITERATURE REVIEW OF PUBLISHED JOURNAL ARTICLES Several journal articles have been published in relation to the concept of self- congruity and consumer behaviour. It is seen that different articles focus on developing brand personality and image, pertaining to a specific field. In case of tourism industries, it is seen that self- congruity plays a very major role, even though destination branding is different from that of any normal product or service (Usakli Ahmet, 2009,p.1). The research on destination and self-congruity is quite new to race, but many destinations around the world have been trying to adopt branding strategies similar to those used Samsung, Sony, LG etc., in an attempt to differentiate their identities and to emphasize the uniqueness of their products (Morgan, Pritchard, Pride, as cited in Usakli Ahmet, 2009,p.1). Other journals on destination branding have also related to the theory of self-congruity. Similar to the branding of a product, destination branding is also seen to have both functional and symbolic congruity. They are also included as important elements that contribute towards the traveller’s congruity towards a destination (Sergy Su, 2000, p.341). The hypothesis suggested here relate to the effect of functional congruity over self- congruity. In order to measure the relation between user image and self-concept, the mathematical discrepancy index was used, involving the seven point Likert type scale (Sergy Su, 2000, p.350). Usakli andShow MoreRelatedConsumer Behaviour Models and Consumer Behaviour in Tourism8170 Words   |  33 PagesConsumer Behavior Models in Tourism Analysis Study Muhannad M.A Abdallat, Ph.D. Assistant Professor Hesham El –Sayed El - Emam, Ph.D. Assistant Professor Department of Tourism and Hospitality, Faculty of Tourism and Archeology King Saud University ABSTRACT The theories of consumer decision-making process assume that the consumer’s purchase decision process consists of steps through which the buyer passes in purchasing a product or service. However, this might not be the case. Not every consumerRead MoreConsumers as Individuals – the Self1498 Words   |  6 PagesLECTURE 5: CONSUMERS AS INDIVIDUALS – THE SELF Self-concept The self-concept refers to the beliefs a person holds about their attributes, and how they evaluate these qualities. 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In the consumer, advertising and semiotic literature, the importance of the symbolic dimension of the brand image has recently been underlined (e.g., Ballantyne et al., 2006; Cian Cervai, 2011; Heath Scott, 1997; Hogg Banister, 2001; Meenaghan, 1995; SempriniRead MoreLiterature Review : And Bell And Waters6067 Words   |  25 Pagesgain knowledge and understanding of the most important issues to establish the researcher’s theoretical framework and methodological focus. This literature review will illustration how the investigation the author is conducting fits with what has gone previously and puts it into perspective. The growth of the private rented sector in London now means that letting agents, renters and landlords all play a critical role in the service package. 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Thursday, December 19, 2019

M4 Research Design Critique Report - 1143 Words

M4 Research Design Critique Report A research scenario that could be addressed using an experimental design would be: What are the differential effects of two different instructional methods, problem based learning and lecture based learning, on the understanding of physics topics on forty students in high school physics. To address concerns of internal validity, two classes of students with a similar learning history and student demographic will be utilized; also, both classes will be taught by the same teacher. To address concerns of external validity, students in both populations will not be pretested, but instead students’ historical achievement in the class will be used as a baseline. Students will not be informed of the research study until after the research has concluded. A quasi-experimental design would be more feasible for this research because the classes of students cannot be changed at will to accommodate randomization. The most effective method to research this problem would be counterbalanced design. According to Mills and Gay (2016), â€Å"In a counterbalanced design, all groups receive all treatments but in a different order, and groups are post-tested after each treatment† (p. 290). Mills and Gay (2016) state that, â€Å"there are three common, basic types of mixed methods research design: Explanatory sequential (QUANïÆ'  qual), Exploratory sequential (QUALïÆ'  quan), and Convergent parallel (QUAN + QUAL)† (p. 427). According to Mills and Gay (2016) in an explanatoryShow MoreRelatedEffects of Rap Music on Crime14002 Words   |  57 PagesListening to Rap: Cultures of Crime, Cultures of Resistance Julian Tanner, University of Toronto Mark Asbridge, Dalhousie University Scot Wortley, University of Toronto This research compares representations of rap music with the self-reported criminal behavior and resistant attitudes of the music’s core audience. Our database is a large sample of Toronto high school students (n = 3,393) from which we identify a group of listeners, whose combination of musical likes and dislikes distinguish themRead MoreContemporary Issues in Management Accounting211377 Words   |  846 Pages Contemporary Issues in Management Accounting Edited by ALNOOR BHIMANI 1 Great Clarendon Street, Oxford ox2 6dp Oxford University Press is a department of the University of Oxford. It furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide in Oxford New York Auckland Cape Town Dar es Salaam Hong Kong Karachi Kuala Lumpur Madrid Melbourne Mexico City Nairobi New Delhi Shanghai Taipei Toronto With oYces in Argentina Austria Brazil ChileRead Moreunethical advertising14492 Words   |  58 PagesCovert advertising embedded in other entertainment media is known as product placement. A more recent version of this is advertising in film, by having a main character, use an item or other of a definite brand - an example is in the movie minority Report, where Tom Cruises character Tom Anderton owns a computer with the Nokia logo clearly written in the top comer, or his watch engraved with the Bulgari logo. The TV commercial is generally considered the most effective mass-market advertising formatRead More_x000C_Introduction to Statistics and Data Analysis355457 Words   |  1422 Pages2 Estimating Sizes 23 Activity 1.3 A Meaningful Paragraph 24 1 2 Collecting Data Sensibly 2.2 Sampling 32 27 2.1 Statistical Studies: Observation and Experimentation 27 2.3 Simple Comparative Experiments 42 2.4 More on Experimental Design 51 2.5 More on Observational Studies: Designing Surveys (Optional) 56 2.6 Interpreting and Communicating the Results of Statistical Analyses 61 Activity 2.1 Designing a Sampling Plan 63 Activity 2.2 An Experiment to Test for the Stroop Effect 64 Activity

Wednesday, December 11, 2019

Information Technology Risk Management Contingency Plans

Question: Discuss about the Information Technology Risk Management of Contingency Plans. Answer: Introduction Contingency plans are those whose outcomes are not prepared for. Hence a contingency plan keeps an organization step ahead for disaster management. The disaster could be both man-made and environmental and creates security holes in the organization (Vacca, 2013). Hence this report aims to identify the information security contingencies for helping various organizations. The report contains the security contingencies that have been defined by the NSW government. The diagram for understanding the contingencies have been developed with the help of Visio. Further, detailed information about the description, with the identification of the various risk exposure has been done. Finally deliberations regarding the ranking have been given, and approaches of NSW government for risk control and mitigation has been evaluated. The diagram for Security contingencies identified by NSW government Figure 1: Security contingencies defined by NSW government (Source: Created by author) Deliberation of the diagram The above diagram shows the various factors and concerns that are considered as Information and security risk by NSW government. As per the illustration, the various internal and the external risk factor has been classified as deliberate and accidental threats components. The deliberate threats are willful damage and manipulation of data whereas accidental threats are random in nature and are hard to predict (Digital Information Security Policy | NSW ICT STRATEGY, 2016). The risk concept relationship shows the interdependence of the various security components regarding security risk and control. Information and security management system (ISMS) should be capable of analyzing threats efficiently hence its development is primarily concerned with the risk concept relationship. The risk concept link acts as the guideline for the formulation of both Code and ISMS and serves as the guideline for mitigation of security risks for NSW government (NSW Government Digital Information Security P olicy | NSW ICT STRATEGY, 2016). Identification of the areas of Risk Exposure Internal Risks are the threats that arise due to the internal factors like the employee of the organization or organizational policies. From the illustration, the various deliberate and the accidental threats that have been identified are classified into four segments (Pedersen, 2013). Thefts, Industrial action, failure of communication, fraud, failure of outsourced operation are treated as a high threat as any of the contingencies will cripple the system (Wehbi Oca Bourdelles, 2012). Social engineering and absence of valuable personnel have been given medium risk priority (Peltier, 2016). Unauthorized software changes, fire, misrouting of information are of medium-low risk, and low-risk factor has been allotted to sabotage piracy and errors committed by employees as they have low possibilities of happening. External risks result due to the factors that work outside the organizational aspect. These threats could be a result of persons trying to defame the organization or gain data to be ahead in the race. External accidental threats to contribute to the failure of the system. The high-security threats that can cripple the system are the denial of service, eavesdropping, unauthorized access and software programming errors (Ward Peppard, 2016). Malicious codes to cripple the system, destruction of data and technical failure are considered as medium level threats. Masquerade and repudiation are considered as medium-low level threats, and the low-level threats are unauthorized access, website intrusion and transmission error (Peltier, 2016). Analysis of Accidental and Deliberate threats Various organizations around the world have different codes and security management systems for ensuring data security of their organization. These security measures are targeted against both external and internal risks. The information security guideline formulated by NSW government gives a framework for threat reduction and mitigation for commercial risks (Peltier, 2016). Since the threats are evolving continuously in ICT (Information and communication technology), the security measures should be made stricter. Hence the NSW government faced a lot of challenges regarding accessibility and reliability. Deliberate threats can be understood as willful wrecking and manipulation of data by a human factor. The damage can be done both to hardware and software. The malicious human intent is the key to deliberate attacks. As stated Nassimbeni, Sartor and Dus (2012), most of the deliberate attacks are targeted at the websites of various organizations for stealing personal and financial data. There are few instances where companies were attacked for denial of services. Denial of services attack needs lesser expertise but is capable of creating chaos. Such attacks reduce the business and credibility of the organization (Wehbi Oca Bourdelles, 2012). Deliberate attacks include viruses, Trojan horses, malware, spyware, worm, phishing, keylogger, etc. (Tsalis, 2015). These attacks result in financial and confidentiality loss, loss of capability of organizations and can be a threat to life too. These attacks can be done through various means like pen drives emails etc. The accidental threats are random in nature and can be due to both environmental and human factors. These threats could be the result of an omission or an error. Accidental threats may be the resultant of sabotage but are most likely to be random errors or omissions (Burdon, Siganto Coles-Kemp, 2016). The accidental threats can lead to an extensive loss like financial, confidentiality and disruption of services. Disruption of communication is the most common form of accidental threats which can be the result of natural calamity. Also, programming errors due to users can result in corruption of information and data, which cannot be retrieved quickly, has been considered as a significant threat by NSW government. Ranking of the Threats Analysis of the various threats that have occurred in various organizations, it was observed that among deliberate, accidental and environmental threats, deliberate threats are most compromising compared to others (Klaic Golub, 2013). However, the other threats are real and need to be addressed with due consideration. The table below shows the ranking of the threats Threats Impact Ranking Deliberate Threats The detailed analysis on the topic shows that the threats that are most compromising are deliberate in nature. The factors like theft, fraud, masquerade, DOS, industrial action, etc. are all present under this umbrella and are known to create a maximum impact upon availability, accountability, reliability and authenticity of an organization, hence making it most dangerous. Very high Environmental Threat In this concern, most of the actors that result in defamation of a company are absent apart from reliability and accountability. These threats result in loss of services and impact is pretty moderate (Burdon, Siganto Coles-Kemp, 2016). High Accidental Threats Confidentiality and integrity of an organization are compromised in this security concern, but availability and reliability are not compromised hence making are less risky compared to other threats. Low Justification for Rankings of Threats It can be seen from the above table that the highest threat ranking has been given to deliberate risk. This has been done because the threat compromises with data privacy and security (Nassimbeni Sartor Dus, 2012). Such attacks can compromise every information available and needs not authorization for misusing it. This threat has highly affected NSW government and hence has been given the highest rank. A recent report on The Huffington Post discusses the same issue regarding the safety from hacking and cyber attacks (Pedersen, 2013). The report emphasizes the need for better security and practices to stop such attacks. An incident of website hacking that has defamed an organization can be seen in the report of Daily Mail which discusses the particulars regarding the divorce of a client resulted due to the leaking of data about the client of Ashley Madison (Dailymail.co.uk, 2016). Such news is a live example of the importance of information that is contained in a website and how thes e data can affect user's life. Accidental threats are a result of errors created by human and are very rare compared to other risks. Since the risks are very rare, and the impact upon the organization is low most of the times. Hence the threats are given low priority (Nassimbeni, Sartor Dus, 2012). The similar accident that exposed the golden keys that unlocks the secure Windows devices was reported in a report in Tech Times (Techtimes.com, 2016). Although no names were mentioned the report clearly states the mistake was done. Such accidental leaks give a hacker an additional edge over the inbuilt security, and hence should be prevented. One more similar incident regarding accidental exposure of driver detail of Uber shows that accidental security risk exposure is not uncommon (McCormick, 2015). The accident exposed the personal details of all drivers including the taxi certification forms and driving licenses. Challenges faced during Risk Management The NSW government faces various challenges regarding the security of information systems (NSW Government Digital Information Security Policy | NSW ICT STRATEGY, 2016). The issues faced by ICT are: Community for information security, are the various security communities adopted by the NSW government to mitigate the issues related to information systems (Peltier, 2016). These systems or communities are responsible for implementation of formulated policies within the system and in different regimes. Communication of events and incidents allows the dissemination of information about the various issues to other communities (Wehbi Oca Bourdelles, 2012). This allows other communities, and NSW government to be well prepared for the contingencies. Integrity within the system is another issue related to NSW government for standardizing information system security policies (Wang Lu, 2013). Integrity in the system allows authentication of different parameters related to the system and creation of team which constantly manages the security issues in the system. Risk and Uncertainty Risk and uncertainty play an important role in controlling the contingencies. The NSW government has considered the following difference for the same. Risks Uncertainty Meaning It is referred to the probability of losing or the contingencies from the perspective of information systems security. These are the contingencies that are unknown and cant be predicted. Contingencies Known Unknown Controllability Can be controlled Cannot be controlled Event Probability Can be assigned Cannot be assigned Contingency control Various approaches available with NSW government for Risk Control and Mitigation The NSW government has evaluated various approaches for control and management of several risks and threats. The framework can be broadly classified into following segments (NSW Government Digital Information Security Policy | NSW ICT STRATEGY, 2016). Sensitivity evaluation is the process by which the impact of various parameters of security issues on the system is evaluated (Damodaran, 2016). The analysis is used for appraisal and feasibility to combat the security issues that has occurred in NSW government. Sensitivity analysis also allow to understanding the threats that comes through information technology and the way of mitigating the threats in proper way. Scenario analysis is applied to for economic appraisal and study of the feasibility that is incorporated for mitigation of safety issues for controlling the risks in the system. Moreover, Burdon, Siganto and Coles-Kemp (2016) argued that scenario analysis helps in understanding the purpose of the NSW government and find out the policy in relation to information security. Review of decision is done to analyze the decisions taken by the organization employees that might risk the security (Klaic Golub, 2013). Hence this analysis allows only the appropriate decisions to overcome management oriented risks. Failure modes evaluate the impact of failure upon the system. This approach analyses mode of failure, budget risks created due to various contingencies (Singh Viswanadham, 2012). To overcome such contingencies faulty tree analysis and risk survey approach is evaluated in NSW government. Conclusion The aim of the report was to illustrate the current security risks and concerns that have been identified by NSW government. Hence for the analysis, a detailed diagram has been constructed with the help of Visio. The diagram was deliberated and the high, medium, medium-low, and low-risk components were identified. Intentional, environmental and accidental threats were discussed and were ranked for a better understanding of the threats that linger upon the industries. Finally, the mitigation approaches available with NSW has been reviewed and evaluated. Comparative analysis of risk and uncertainty was done, and finally, evaluations of different approaches available with NSW government have been done to mitigate the threats. References Dailymail.co.uk. (2016). Scorned wife launches first Ashley Madison divorce case Mail Online. Retrieved 19 August 2016, from https://www.dailymail.co.uk/news/article-3205657/Wife-starts-Ashley-Madison-divorce-proceedings-husband-outed-member-infidelity-website.html Damodaran, A. (2016).Damodaran on Valuation: Security Analysis for Investment and Corporate Finance(Vol. 324). John Wiley Sons. Digital Information Security Policy | NSW ICT STRATEGY. (2016). Finance.nsw.gov.au. Retrieved 16 August 2016, from https://www.finance.nsw.gov.au/ict/priorities/managing-information-better-services/information-security Klaic, A., Golub, M. (2013). Conceptual modeling of information systems within the information security policies. J Econ Bus Manage, 1(4), 371-376. McCormick, R. (2015). Theverge.com. Retrieved 19 August 2016, from https://www.theverge.com/2015/10/14/9529095/uber-leaks-personal-information-hundreds-drivers Nassimbeni, G., Sartor, M., Dus, D. (2012). Security risks in service offshoring and outsourcing. Industrial Management Data Systems, 112(3), 405-440. NSW Government Digital Information Security Policy | NSW ICT STRATEGY. (2016). Finance.nsw.gov.au. Retrieved 16 August 2016, from https://www.finance.nsw.gov.au/ict/resources/nsw-government-digital-information-security-policy Pedersen, C., (2013). The Rising Digital Missile Gap: The Security Threat of the United States' Cyber Inactivity.Pepperdine Policy Review,6, p.K1. Peltier, T. R. (2016).Information Security Policies, Procedures, and Standards: Guidelines for effective information security management. CRC Press. Singh, P., Viswanadham, P. (2012).Failure modes and mechanisms in electronic packages. Springer Science Business Media. Techtimes.com, (2016). Microsoft Accidentally Leaks 'Golden Keys' That Unlock Secure Boot-Protected Windows Devices: Oops?. Retrieved 19 August 2016, from https://www.techtimes.com/articles/173282/20160811/microsoft-accidentally-leaks-golden-keys-that-unlock-secure-boot-protected-windows-devices-oops.htm Tsalis, N. (2015). Online security or insecurity: The current threat landscape. Vacca, J. R. (Ed.). (2013).Managing information security. Elsevier. Wang, W., Lu, Z. (2013). Cyber Security in the Smart Grid: Survey and challenges.Computer Networks,57(5), 1344-1371. Ward, J., Peppard, J. (2016).The Strategic Management of Information Systems: Building a Digital Strategy. John Wiley Sons. Wehbi, B., de Oca, E. M., Bourdelles, M. (2012, April). Events-based security monitoring using MMT Tool. In2012 IEEE Fifth International Conference on Software Testing, Verification and Validation(pp. 860-863). IEEE.

Wednesday, December 4, 2019

Nibm Iii Semester Assignments free essay sample

Managerial Economics Suppose you are the Marketing Manager of Bayer Company, Ahmedabad, which are the techniques you will apply in forecasting demand of a product yet to be manufactured. The firm must plan for the future. Planning for the future involves forecasting. A forecast is an estimation or prediction about situations which are most likely to occur in near or distant future. No businessman can afford to ignore forecasting if he wants to thrive and prosper in his business. The firm has to forecast the future level of demand for its product under different possible circumstances; such as prices, competition, promotional activities and general economic activity. Similarly forecasting will be necessary with reference to costs under changing conditions of availability of raw materials and their respective prices, changing technology, wage rates, labour training and capital acquisition programmes. Forecasting does play a key role in managerial decisions and hence forecasting is emphasized in the study of managerial economics. We will write a custom essay sample on Nibm Iii Semester Assignments or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page The objective of business forecasting is to minimize risk and the margin of uncertainty in business. Techniques of Demand Forecasting Many techniques are available that can be used in forecasting economic variables. Some forecasting techniques are quantitative, others are qualitative. When quantitative information is not quite available then qualitative technique is to be relied upon for getting the required forecasts. There are, as such, two approaches to demand forecasting. First is to obtain information about the intentions of the spenders through collecting experts’ opinion or by conducting interviews with the consumers. Second is to use past experience as the guide and using or projecting the past statistical relationships to obtain the expected level of future demand. The first method is also considered to be qualitative and is mostly used for short-term forecasting; whereas the second method is quantitative and is used for long-term forecasting. We can forecast the demand for existing product by using any one or even mix of the above methods, but to forecast demand for new product we have to use survey method only because the new product has no past or historical data to offer. How is demand forecast determined? There are two approaches to determine demand forecast – (1) the qualitative approach, (2) the quantitative approach. The comparison of these two approaches is shown below: Description| Qualitative Approach| Quantitative Approach| Applicability| Used when situation is vague little data exist (e. . , new products and technologies)| Used when situation is stable historical data exist(e. g. existing products, current technology)| Considerations| Involves intuition and experience| Involves mathematical techniques| Techniques| Jury of executive opinionSales force compositeDelphi methodConsumer market survey| Time series modelsCausal models| Qualitative Forecasting Methods Your company may wish to try any of the qu alitative forecasting methods below if you do not have historical data on your products sales. Qualitative Method| Description| Jury of executive opinion| The opinions of a small group of high-level managers are pooled and together they estimate demand. The group uses their managerial experience, and in some cases, combines the results of statistical models. | Sales force composite| Each salesperson (for example for a territorial coverage) is asked to project their sales. Since the salesperson is the one closest to the marketplace, he has the capacity to know what the customer wants. These projections are then combined at the municipal, provincial and regional levels. | Delphi method| A panel of experts is identified where an expert could be a decision maker, an ordinary employee, or an industry expert. Each of them will be asked individually for their estimate of the demand. An iterative process is conducted until the experts have reached a consensus. | Consumer market survey| The customers are asked about their purchasing plans and their projected buying behavior. A large number of respondents is needed here to be able to generalize certain results. | Quantitative Forecasting Methods There are two forecasting models here – (1) the time series model and (2) the causal model. A time series is a s et of evenly spaced numerical data and is o btained by observing responses at regular time periods. In the time series model , the forecast is based only on past values and assumes that factors that influence the past, the present and the future sales of your products will continue. On the other hand, t he causal model uses a mathematical technique known as the regression analysis that relates a dependent variable (for example, demand) to an independent variable (for example, price, advertisement, etc. ) in the form of a linear equation. The time series forecasting methods are described below: Time Series Forecasting Method| Description| Naive Approach| Assumes that demand in the next period is the same as demand in most recent period; demand pattern may not always be that stableFor example:If July sales were 50, then Augusts sales will also be 50| Time Series Forecasting Method| Description| Moving Averages (MA)| MA is a series of arithmetic means and is used if little or no trend is present in the data; provides an overall impression of data over timeA simple moving average uses average demand for a fixed sequence of periods and is good for stable demand with no pronounced behavioral patterns. Equation:F 4 = [D 1 + D2 + D3] / 4F – forecast, D – Demand, No. – Period(see illustrative example – simple moving average)A weighted moving average adjusts the moving average method to reflect fluctuations more closely by assigning weights to the most recent data, meaning, that the older data is usually less important. The weights are based on intuition and lie between 0 and 1 for a total of 1. 0Equation:WMA 4 = (W) (D3) + (W) (D2) + (W) (D1)WMA – Weighted moving average, W – Weight, D – Demand, No. – Period(see illustrative example – weighted moving average)| Exponential Smoothing| The exponential smoothing is an averaging method that reacts more strongly to recent changes in demand by assigning a smoothing constant to the most recent data more strongly; useful if recent changes in data are the results of actual change (e. g. seasonal pattern) instead of just random fluctuationsF t + 1 = a D t + (1 a ) F tWhereF t + 1 = the forecast for the next periodD t = actual demand in the present periodF t = the previously determined forecast for the present period†¢Ã‚   = a weighting factor referred to as the smoothing constant| Time Series Decomposition| The time series decomposition adjusts the seasonality by multiplying the normal forecast by a seasonal factor. | Quantitative Techniques for Business Analysis Suppose you are heading a business unit in India which are the points about statistic you will keep in mind for doing business profitable. In other words what is the relevance of Business statistics in your venture. The basic objective with which Business Statistics is used for making inferences that is reaching a decision or conclusion and predictions and assumptions. In business, decision making is a very critical phase and is used in all the fields of business. The use of statistics makes comparisons and analysis easier which relatively quickens the decision-making process and also makes it a little easier. But using statistics the relationships of different variables can be studied. Statistics makes it possible to do what-if analysis. Regression analysis is used for studying the relationship between variables and the dependency of one upon the other. Research shows that the use of statistical models improves the decision making process. By using probabilities, different predictions can also be made in business  · Statistical skills enable to intelligently collect, analyze and interpret data relevant to their decision-making. Statistical concepts and statistical thinking enable them to: solve problems in a diversity of contexts. add substance to decisions. reduce guesswork. It is always better to use the concepts which are already used so that it is very easy to the head making the business profitable and a slight innovation or advancement is needed in order to prevent the idea from carbon copy. The use of statistics is a comparison and hence comparison plays a vital role. When a business is statistically implemented the flaws are reduced because it solves th e problem very easily it helps making proper decision and reduces redundancy. The bottom line. Thats what many business people look at to gauge the profitability of a company. While important, the bottom line doesnt always provide the entire picture, and using it as the sole barometer of company performance could have serious fiscal repercussions. Ratios: Gross Profit on Net Sales Net Profit on Net Sales Management Rate of Return Net Profit to Tangible Net Worth Rate of Return on Common Stock Equity Analytical Procedures: Comparative Statements Index-Number Trend Series Common-Size Statements Analysis of Financial Statement Components Purpose of Profitability Analysis A properly conducted profitability analysis provides invaluable evidence concerning the earnings potential of a company and the effectiveness of management. II. Profitability Ratios Profitability ratios are the most significant and telling of financial ratios. Similar to income ratios, profitability ratios provide a definitive evaluation of the overall effectiveness of management based on the returns generated on sales and investment. The adequacy of your companys earnings can be measured in terms of (1) the rate earned on sales; (2) the rate arned on average total assets; (3) the rate earned on average common stockholders equity; and (4) the availability of earnings to common stockholders. The most widely used profitability measurements are profit margin on sales, return-on-investment ratios, and earnings per share. Gross Profit on Net Sales You can use the following ratio to determine the percentage of gross profit on net sales: Net Sales Cost of Goods Sold = Gross Profit Rate N et Sales Your gross profit rate helps you determine whether your average markup on goods will consistently cover your expenses, therefore resulting in the desired profit. If your gross profit rate is continually lower than your average margin, something is wrong! Be on the lookout for downward trends in your gross profit rate. This is a sign of future problems for your bottom line. Note: This percentage rate can and will vary greatly from business to business, even those within the same industry. Sales, location, size of operations, and intensity of competition are all factors that can affect the gross profit rate. Net Profit on Net Sales Earnings after Taxes = Net Profit Rate Net Sales This ratio provides a primary appraisal of net profits related to investment. Once your basic expenses are covered, profits will rise disproportionately greater than sales above the break-even point of operations. Note: Sales expenses may be substituted out of profits for other costs to generate even more sales and profits. Management Rate of Return This profitability ratio compares operating income to operating assets, which are defined as the sum of tangible fixed assets and net working capital. Operating Income = Rate of Return Fixed Assets + Net Working Capital This rate determines whether you have made efficient use of your assets. You can calculate for your entire company or for each of its divisions or operations, determines whether you have made efficient use of your assets. The percentage should be compared with a target rate of return that you have set for the business. Net Sales to Tangible Net Worth Net Sales = Net Sales to Tangible Net Worth Ratio Tangible Net Worth* This ratio indicates whether your investment in the business is adequately proportionate to your sales volume. It may also uncover potential credit or management problems, usually called overtrading and undertrading. Overtrading, or excessive sales volume transacted on a thin margin of investment, presents a potential problem with creditors. Overtrading can come from considerable management skill, but outside creditors must furnish more funds to carry on daily operations. Undertrading is usually caused by managements poor use of investment money and their general lack of ingenuity, skill or aggressiveness. *Tangible Net Worth = owners equity intangible assets Rate of Return on Common Stock Equity Instead of focusing on total assets, this ratio takes a reading on the rate of return on stockholders equity. Earnings after Taxes = Rate of Return Tangible Net Worth III. Analytical Procedures Procedures you can use to analyze your businesss profitability are generally broken up into two categories: (1) those based upon financial data from two or more fiscal periods, or (2) financial data from only the current fiscal period. To complete a thorough review of your companys financial standing, we recommend you utilize both types of analytical procedures. IV. Commonly Used Analytical Procedures The most common types of analytical procedures are: (1) comparative statements; (2) index-number trend series; (3) common-size statements; (4) nalysis of financial statement components; and (5) vertical analysis. V. Comparative Statements A first look at your businesss current financial figures can be quite overwhelming and, more often than not, a little confusing. But, if you were to compare that data to your businesss historical performance, it becomes significantly more meaningful. Compare your compan ys current financial numbers with monthly, quarterly, or annual data from previous fiscal years. You should notice some trends that will help you map out the future of your business. VI. Index-Number Trend Series If you are trying to analyze financial data that span a long period of time, simply trying to compare financial statements can turn into quite a cumbersome task. If you find yourself in this boat, try to create an index-number trend series to alleviate some of your confusion. First, choose a base year to which all other financial data will be compared. Usually, the base year is the earliest year in the group being analyzed, or it can be another year you consider particularly appropriate. Next, express all base year amounts as 100 percent. Then state corresponding figures from following years as a percentage of the base year amounts. Keep in mind that index-numbers can be computed only when amounts are positive. Example : YearSalesIndex-Number Trend 1998100,000100 % 1999150,000150% 2000175,000175 % The index-number trend series technique is a type of horizontal analysis that can provide you with a long range view of your firms financial position, earnings, and cash flow. It is important to remember, however, that long-range trend series are particularly sensitive to changing price levels. For instance, between 1975 and 1985 the price level in the United States doubled. A horizontal analysis that ignored such a significant change might suggest that your sales or net income increased dramatically during the period when, in fact, little or no real growth occurred. Data expressed in terms of a base year can be very useful when comparing your companys figures to those from government agencies and sources within your industry or the business world in general, because they will often use an index-number trend series as well. When making comparisons, be sure the samples you use are in the same base period. If they arent, simply change one so they match. VII. Common-Size Statements When performing a ratio analysis of financial statements, it is often helpful to adjust the figures to common-size numbers. To do this, change each line item on a statement to a percentage of the total. For example, on a balance sheet, each figure is shown as a percentage of total assets, and on an income statement, each item is expressed as a percentage of sales. This technique is quite useful when you are comparing your business to other businesses or to averages from an entire industry, because differences in size are neutralized by reducing all figures to common-size ratios. Industry statistics are frequently published in common-size form. When comparing your company with industry figures, make sure that the financial data for each company reflect comparable price levels, and that it was developed using comparable accounting methods, classification procedures, and valuation bases. Such comparisons should be limited to companies engaged in similar business activities. When the financial policies of two companies differ, these differences should be recognized in the evaluation of comparative reports. For example, one company leases its properties while the other purchases such items; one company finances its operations using long-term borrowing while the other relies primarily on funds supplied by stockholders and by earnings. Financial statements for two companies under these circumstances are not wholly comparable. Example Common-Size Income Statement YearSalesCost of GrossExpensesTaxesProfit SalesProfit 2000100%65%35%27%2%6% 1999100%68%32%27%1%4% 1998100%70%30%26%1%3% Service Marketing Selective food marketing has answered the call and was created to represent the way a foodservice broker should. As our industry rapidly evolves, yet condenses, the demand for qualified experienced representation is great. Selective food service marketings philosophy is to execute our principals agenda with thorough operator penetration effective service to our distributors. A conservative prospectus of manufactures, but go to market aggressively to succeed. What is the your vision to represent a food manufacturing company in a way that they are proud to say that they have selective food marketing services? Food Marketing: Food products often involve the general marketing approaches and techniques applied the marketing of other kinds of products and services. In food marketing, topics such as test marketing, segmentation, positioning, branding, targeting, consumer research, and market entry strategy, for example, are highly relevant. In addition, food marketing involves other kinds of challengessuch as dealing with a perishable product whose quality and availability varies as a function of current harvest conditions. The value chainthe extent to which sequential parties in the marketing channel add value to the productis particularly important. Today, processing and new distribution options provide increasing opportunities available to food marketers to provide the consumer with convenience. Marketing, services, and processing added do, however, result in significantly higher costs. In the old days, for example, consumers might have baked their own bread from locally grown flour. Today, most households buy pre-manufactured bread, and it is estimated that the farmer receives only some 5% of the price paid by the consumer for the wheat. Demographics and Food Marketing: The study of demographics involves understanding statistical characteristics of a population. For food marketing purposes, this may help firms (1)   understand the current market place (e. g. , a firm interested in entering the market for sports drinks in a given country, or worldwide, might investigate the number of people between the ages of fifteen and thirty-five, who would constitute a particularly significant market) or (2) predict future trends. In the United States and Germany, for example, birth rates are relatively low, so it can be predicted that the demand for school lunch boxes will probably decline. Therefore, firms marketing such products might see if they, instead, can shift their resources toward products consumed by a growing population (e. g. , bait boxes for a growing population of retired individuals who want to go fishing). Food marketers must consider several issues affect the structure of a population. For example, in some rapidly growing countries, a large percentage of the population is concentrated among younger generations. In countries such as Korea, China, and Taiwan, this has helped stimulate economic growth, while in certain poorer countries, it puts pressures on society to accommodate an increasing number of people on a fixed amount of land. Other countries such as Japan and Germany, in contrast, experience problems with a â€Å"graying† society, where fewer non-retired people are around to support an increasing number of aging seniors. Because Germany actually hovers around negative population growth, the German government has issued large financial incentives, in the forms of subsidies, for women who have children. In the United States, population growth occurs both through births and immigration. Since the number of births is not growing, problems occur for firms that are dependent on population growth (e. g. , Gerber, a manufacturer of baby food). Social class can be used in the positioning of food products. One strategy, upward pull marketing, involves positioning a product for mainstream consumers, but portraying the product as being consumed by upper class consumers. For example, Haagen-Dazs takes care in the selection of clothing, jewelry, and surroundings in its advertisements to portray upscale living, as do the makers of Grey Poupon mustard. Another strategy, however, takes a diametrically opposite approach. In at level positioning, blue collar families are portrayed as such, emphasizing the working class lifestyle. Many members of this demographic group associate strongly with this setting and are proud of their lifestyles, making this sometimes a viable strategy. An advertisement for Almond Joy, for example, features a struggling high school student being quizzed by his teacher remarking, â€Å"Sometimes you feel like a nut, sometimes you don’t! †Ã‚   Nowadays, by the way, ocial class is often satirized in advertising, as evident in the Palanna All-Fruit commercials while the matron faints because the police officer refers to the fruit preserves as â€Å"jelly. † Demographics in the U. S. have significantly affected demand for certain food products. With declining birth rates, there is less demand for baby foods in general, a trend that will continue. Immigration has contributed to a demand for mor e diverse foods. Long working hours have fueled a demand for prepared foods, a category that has experienced significant growth in supermarkets since the 1980s. Food Marketing and Consumption Patterns:   Certain foods—such as chicken, cheese, and soft drinks—have experienced significant growth in consumption in recent years. For some foods, total market consumption has increased, but this increase may be primarily because of choices of a subgroup. For example, while many Americans have reduced their intake of pork due to concerns about fat, overall per capita consumption of pork has increased in the U. S. This   increase probably results in large part from immigration from Asia, where pork is a favored dish. Consumption of certain other products has decreased. Many consumers have replaced whole milk with leaner varieties, and substitutes have become available to reduce sugar consumption. Beef and egg consumption have been declining, but this may be reversing as high protein diets gain increasing favor. Some food categories have seen increasing consumption in large part because of heavy promotional campaigns to stimulate demand. International Comparisons:   Americans generally spend a significantly smaller portion of their income   on food than do people in most other countries. Part of this is due to American affluence—in India and the Philippines, families are estimated to spend 51% and 56% of their incomes on food, respectively, in large part because of low average incomes. Food prices also tend to be lower in the U. S. than they are in most industrialized countries, leaving more money for other purposes. Americans, on the average, are estimated to spend 7-11% of their income on food, compared to 18% in Japan where food tends to be very expensive. This is because food prices are relatively low, compared to other products, here. Food outlets:   Food, in the United States, is sold in a diversity of outlets. Supermarkets carry a broad assortment of goods and generally offer lower prices. Certain convenience products—e. g. , beverages and snacks—are provided in more outlets where consumers may be willing to pay higher prices for convenience. Distinctions between retail formats are increasingly blurred—e. g. , supermarkets, convenience stores, and restaurants all sell prepared foods to go. A small number of online retailers now sell food that can be delivered to consumers’ homes. This is usually not a way to reduce costs—with delivery, costs are usually higher than in supermarkets—but rather a way to provide convenience to time-pressed consumers. Internationally, there are large variations:   In developing countries, food is often sold in open markets or in small stores, typically with more locally produced and fewer branded products available. Even in many industrialized countries, supermarkets are less common than they are in the U. S. In Japan, for example, many people show in local neighborhood stores because it is impractical to drive to a large supermarket. In some European countries, many people do not own cars, and thus smaller local shops may be visited frequently. Food is increasingly being consumed away from the home—in restaurants, cafeterias, or at food stands. Here, a large part of the cost is for preparation and other services such as ambiance. Consumers are often quite willing to pay these costs, however, in return for convenience and enjoyment. Government Food Programs:   Government food programs, in addition to helping low income households, do increase demand for food to some extent. In fact, increasing demand for farm products was a greater motivation than helping poor people for the formation of the U. S. food stamp program. The actual impact on food stamps on actual consumer demand is limited, however, due to the fungibility of money. It is estimated that one dollar in food stamps increases the demand for food by 20 cents, but when food stamps are available to cover some food costs, recipients are likely to divert much of the money they would otherwise have spent to other necessities. Food Marketing Issues:   The food industry faces numerous marketing decisions. Money can be invested in brand building (through advertising and other forms of promotion) to increase either quantities demanded or the price consumers are willing to pay for a product. Coca Cola, for example, spends a great deal of money both on perfecting its formula and on promoting the brand. This allows Coke to charge more for its product than can makers of regional and smaller brands. Manufacturers may be able to leverage their existing brand names by developing new product lines. For example, Heinz started out as a brand for pickles but branched out into ketchup. Some brand extensions may involve a risk of damage to the original brand if the quality is not good enough. Coca Cola, for example, refused to apply the Coke name to a diet drink back when artificial sweeteners had a significantly less attractive taste. Coke created Tab Cola, but only when aspartame (NutraSweet) was approved for use in soft drinks did Coca Cola come out with a Diet Coke. Manufacturers that have invested a great deal of money in brands may have developed a certain level of consumer brand loyalty—that is, a tendency for consumers to continue to buy a preferred brand even when an attractive offer is made by competitors. For loyalty to be present, it is not enough to merely observe that the consumer buys the same brand consistently. The consumer, to be brand loyal, must be able to actively resist promotional efforts by competitors. A brand loyal consumer will continue to buy the preferred brand even if a competing product is improved, offers a price promotion or premium, or receives preferred display space. Some consumers how multi-brand loyalty. Here, a consumer switches between a few preferred brands. The consumer may either alternate for variety or may, as a rule of thumb, buy whichever one of the preferred brands are on sale. This consumer, however, would not switch to other brands on sale. Brand loyalty is, of course, a matter of degree. Some consumers will not switch for a moderate discount, but would switch for a large one or will occasionally buy another brand for convenience or variety. The â€Å"Four Ps† of Marketing. Marketers often refer to the â€Å"Four Ps,† or the marketing portfolio, as a way to describe resources available to market a product: Product: Firms can invest in the product by using high quality ingredients or doing extensive research and development to improve it. Both McDonald’s and Burger King, for example, literally spend millions of dollars to perfect their French fries! In today’s Western markets with varying tastes and preferences, it has generally been found that products that offer a specific benefit—e. g. , a very tart taste in jam—tend to fare better than â€Å"me, too† products that merely imitate a competitor’s products. Less is known about Eastern and developing countries. Price: Different strategies may be taken with respect to price. Generically, there are two ways to make a profit—sell a lot and make a small margin on each unit or make a large margin on each unit and settle for lesser volumes. Firms in most markets are better off if the market is balanced—where some firms compete on price and others on other features (such as different taste preferences for different segments). The same idea applies at the retail level where some retailers compete on price (e. g. , Food-4-Less and Wal-Mart) while others (such as Vons Pavillion) compete on service while charging higher prices. Distribution:   Most supermarkets are offered more products than they have space for. Thus, many manufacturers will find it difficult to get their products into retail stores. Promotion involves the different tools that firms have to get consumers to buy more of their products, possibly at higher prices. Advertising is what we think of by default, but promotion also includes coupons, in-store price promotions, in-store demonstrations, or premiums (e. g. , if you buy a package of Jimmy Dean hotdogs this week, you get a free package of Kraft mustard). The Value Chain:   A central issue in food marketing is the value chain, the process by which different parties in between the farmer and the consumer dd value to the product. In an extreme case, the farmer only receives about five cents for every dollar ultimately charged for bread in the store. Part of the added cost results from other ingredients, but much of the value is added from processing (e. g. , milling), manufacturing, distribution (transportation, wholesaling, and retailing) and brand building. The value chai n provides an opportunity for many firms to add value to a product. This, of course, pushes up the ultimate retail prices of foods. However, these added costs usually result from consumer demand where consumers are willing to pay for additional convenience. In recent years, for example, there has been a sharp increase in the demand for prepared foods—from supermarkets or from dine-in or take-out from restaurants. It is important to note that the value chain comes about in large part because a sequence of contributors allows each to specialize in what it does best or is most comfortable—and best qualified—to be doing. Farmers, for example, tend to be most interested in doing actual farming tasks and may be uncomfortable making deals with processors and manufacturers. Agents may specialize in this task. The costs of learning can be spread across many different farmers. The farmer may then be better off paying the agent and spend his or her time on farming instead . For the agent, having a large number of farmers as clients is profitable. Most farms would not have a sufficient volume to justify setting up milling operations, but large processors can take advantage of economies of scale by servicing many farmers. Large manufacturers can invest in brand building, and distributors can combine goods from many different suppliers to distribute and sell efficiently. The Food Marketing Environment:   The food market is affected by many different forces—e. . , sociological (fewer children mean less demand for certain products), government regulations, international trade conditions, science and technology, weather and other conditions affecting harvest conditions, economic cycles, and competitive conditions. Food Markets: Characteristics Food Marketing Efficiency refers to providing consumers with desired levels of service at the lowest cost possib le. This does not necessarily mean to minimize costs after materials leave the farm. Services added later in the process may be very valuable to the consumer. Raw wheat would not be very valuable to most end consumers. The objective, then, is to add the needed value steps as efficiently as possible. Wal-Mart is extremely efficient in providing the retail (and effectively wholesale) part of the value chain even though that service ultimately costs money. Few consumers would want to drive a long distance to a bakery, and even if they did, the baker would then have to provide the retail services. The baker would probably have to spend more money on hiring people and maintaining the store than Wal-Mart adds to the cost by performing these services. Characteristics of Food Products and Production:   Certain problems are introduced by the characteristics of agricultural production: Large crop variations:   Weather and other environmental factors greatly influence the size of a crop during any given year. At the farm level, demand for agricultural products is generally very inelastic. That means that a small change in the crop size can greatly affect prices. If the orange harvest is only 5% above normal, orange juice manufacturers have a lot of farmers to buy from. Since it is difficult to increase consumer demand much in the short run, manufacturers are unlikely to significantly increase the quantities purchased, and prices may go down by much more than the 5%. Seasonal effects:   Certain products—such as turkeys, pumpkin pie, and cranberries—are demanded mostly during selected periods of the year. Other products—such as oranges for orange juice—are demanded more uniformly year-round, but are available in larger quantities during the season. Fresh peaches, for example, are abundantly available in the U. S. uring the summer, but usually need to be imported—at high costs—during the winter season. Increasing production levels:   Scientific advances have enabled farmers to produce more crops on a given amount of land. This has dramatically increased the supply of certain products, often more than the increase in population and export markets. This has made markets more competitive. Geographic concentra tion and varying production costs:   Certain products are grown most efficiently in certain parts of the country. Wheat and corn could be grown in the South, but at a higher cost than in colder climates. Oranges tend to fare better in warmer climates. This means that many products need to be transported over long distances. Derived demand:   Farmers need farm supplies (e. g. , fertilizer, seeds) and equipment (e. g. , tractors). Thus, when there is an increase in market demand for a particular crop, this will tend to result in increased demand for products supplied to farmers. Problems in Agricultural Marketing:   Farmers tend to face serious problems due to their limited control over market conditions. In the long run, farmers can to some extent control their own production levels, but they have no control over others. If other farmers increase their production, thus increasing supply and resulting in decreased market prices, there is nothing that the farmer can do about it. Another problem is that it takes time for the farmer to adjust his or her output. To increase production of hogs, for example, it is necessary to breed more stock. This takes time, and by the time the larger stock is available, prices may have reversed—i. e. , the farmer decided to raise more hogs when prices went up, but by the time the stock is ready, market prices may have declined (either because of an increasing supply from other farmers or because of a change in consumer tastes). Farmers have low bargaining power in dealing with buyers. Processors or manufacturers have many farmers to choose from. They do not need the product from any one particular farmer since commodities are seen as identical. Farmers, therefore, end up having to sell at a market price that may or may not be profitable at a given time. Farmers often face a â€Å"cost-squeeze† when market prices change. When market prices decline (usually due to supply conditions), prices paid to farmers decline. However, the farmer’s costs are unlikely to decline, leaving the farmer to absorb this loss. Such price fluctuations may change a crop from being mildly profitable to being causing significant losses. Decisions on Marketing Efforts:   Certain food product producers have decided to collectively promote their crops—e. g. , Florida oranges, Washington apples, and beef growers. For a commodities product, it is generally not worthwhile for the individual farmer to promote. Thus, promotion efforts are typically undertaken by trade groups such as the Beef Council. If participation is voluntary, many producers would be likely to free-ride—that is, benefit from others’ efforts without contributing themselves. In many jurisdictions, participation in various programs in mandatory. In some cases, farmers can petition for a refund, but must then go through a great deal of effort. Manufacturers frequently engage in brand building—e. g. , Kraft promotes Kraft cheese as being of especially high quality. Here, the manufacturer benefits, and thus may have an incentive to spend money on these promotional efforts. Trends in Food and Agricultural Marketing:   Science has allowed both for significant increases in productivity and for adapting products to market needs. For example, it is now possible to produce firmer fruits that are less likely to be bruised or spoil in transit. (This may happen at some cost in taste, however). Other research may be conducted to optimize tastes and appearances for one or more consumer segments. This research is often proprietary—sponsored by specific manufacturers and kept secret as a competitive advantage. In order to meet the demands of consumers and manufacturers, there is now an increased need for growers, processors, and manufacturers to work together to create products that meet needed standards. It is also possible today to produce an increasing number of niche products—products that appeal to one particular segment of the market. Competition is increasingly global, with both suppliers and buyers being spread increasingly across the world. Because of the increasingly complex marketplace, managers increasingly. Quality Systems Management What are the points you will keep in mind about the concept of quality control and inspection if you are the quality systems manager of a rubber products manufacturing unit? Quality control (QC) is a procedure or set of procedures intended to ensure that a manufactured product or performed service adheres to a defined set of quality criteria or meets the requirements of the client or customer. QC is similar to, but not identical with, quality assurance (QA). QA is defined as a procedure or set of procedures intended to ensure that a product or service under development (before work is complete, as opposed to afterwards) meets specified requirements. QA is sometimes expressed together with QC as a single expression, quality assurance and control (QA/QC). In order to implement an effective QC program, an enterprise must first decide which specific standards the product or service must meet. Then the extent of QC actions must be determined (for example, the percentage of units to be tested from each lot). Next, real-world data must be collected (for example, the percentage of units that fail) and the results reported to management personnel. After this, corrective action must be decided upon and taken (for example, defective units must be repaired or rejected and poor service repeated at no charge until the customer is satisfied). If too many unit failures or instances of poor service occur, a plan must be devised to improve the production or service process and then that plan must be put into action. Finally, the QC process must be ongoing to ensure that remedial efforts, if required, have produced satisfactory results and to immediately detect recurrences or new instances of trouble. In general, the application of the concept of Quality Control and Inspection for a rubber products manufacturing unit would consist of: 1. Receiving Inspection to assure the product/material received meets the required specifications before it is manufactured. . In-process Inspection (On-going basis)- to assure the parts 3. Finished Goods Inspection (to ensure any secondary operations are performed to specifications and that product meets all requirements) This is the inspection side. Keeping all of this in mind, the concept of quality is to ensure the product is manufactured correct the first time. a. Receiving Inspection: It means as a Quality systems manager the product or the material received from various sources should be tested or evaluated to know whether it meets the specifications. If not the Raw-material should be dismissed and not to be used. b. In process Inspection: This means the products have to be tested while on the production or while they are In-process. This will give the fair idea to the QA manager whether the products are generating the expecting outcome. If he thinks the rubber material doesnt producing the expected outcome it should be terminated immediately. c. Finished goods Inspection: This means the products have to be tested to assure 100% quality. The QC manager has to take the full in charge and pass the QC test The above said methods are critical and it should be followed strictly without which the product may not meet the specifications of Quality control and inspection. Zero-level defect must be assured to get 100% quality of rubber goods. Management Research You are in charge of promoting a new flavor of tooth paste yet to be produced in a tooth paste manufacturing unit. Which sampling techniques will you use to get the required data from a population? Sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. Each observation measures one or more properties (weight, location, etc. ) of an observable entity enumerated to distinguish objects or individuals. Survey weights often need to be applied to the data to adjust for the sample design. Results from probability theory and statistical theory are employed to guide practice. In business, sampling is widely used for gathering information about a population It is incumbent on the researcher to clearly define the target population. There are no strict rules to follow, and the researcher must rely on logic and judgment. The population is defined in keeping with the objectives of the study. Sometimes, the entire population will be sufficiently small, and the researcher can include the entire population in the study. This type of research is called a census study because data is gathered on every member of the population. Usually, the population is too large for the researcher to attempt to survey all of its members. A small, but carefully chosen sample can be used to represent the population. The sample reflects the characteristics of the population from which it is drawn. Sampling methods are classified as either probability or non-probability. In probability samples, each member of the population has a known non-zero probability of being selected. Probability methods include random sampling, systematic sampling, and stratified sampling. In non-probability sampling, members are selected from the population in some non-random manner. These include convenience sampling, judgment sampling, quota sampling, and snowball sampling. The advantage of probability sampling is that sampling error can be calculated. Sampling error is the degree to which a sample might differ from the population. When inferring to the population, results are reported plus or minus the sampling error. In non probability sampling, the degree to which the sample differs from the population remains unknown. Random sampling is the purest form of probability sampling. Each member of the population has an equal and known chance of being selected. When there are very large populations, it is often difficult or impossible to identify every member of the population, so the pool of available subjects becomes biased. Systematic sampling is often used instead of random sampling. It is also called an Nth name selection technique. After the required sample size has been calculated, every Nth record is selected from a list of population members. As long as the list does not contain any hidden order, this sampling method is as good as the random sampling method. Its only advantage over the random sampling technique is simplicity. Systematic sampling is frequently used to select a specified number of records from a computer file. Stratified sampling is commonly used probability method that is superior to random sampling because it reduces sampling error. A stratum is a subset of the population that share at least one common characteristic. Examples of stratums might be males and females, or managers and non-managers. The researcher first identifies the relevant stratums and their actual representation in the population. Random sampling is then used to select a sufficient number of subjects from each stratum. Sufficient refers to a sample size large enough for us to be reasonably confident that the stratum represents the population. Stratified sampling is often used when one or more of the stratums in the population have a low incidence relative to the other stratums. Convenience sampling is used in exploratory research where the researcher is interested in getting an inexpensive approximation of the truth. As the name implies, the sample is selected because they are convenient. This non-probability method is often used during preliminary research efforts to et a gross estimate of the results, without incurring the cost or time required to select a random sample. Judgment sampling is a common non-probability method. The researcher selects the sample based on judgment. This is usually an extension of convenience sampling. For example, a researcher may decide to draw the entire sample from one representative city, even though the population includes all cities. When using this method, the researcher must be confident that the chosen sample is truly representative of the entire population. Quota sampling is the non-probability equivalent of stratified sampling. Like stratified sampling, the researcher first identifies the stratums and their proportions as they are represented in the population. Then convenience or judgment sampling is used to select the required number of subjects from each stratum. This differs from stratified sampling, where the stratums are filled by random sampling. Snowball sampling is a special non-probability method used when the desired sample characteristic is rare. It may be extremely difficult or cost prohibitive to locate respondents in these situations. Snowball sampling relies on referrals from initial subjects to generate additional subjects. While this technique can dramatically lower search costs, it comes at the expense of introducing bias because the technique itself reduces the likelihood that the sample will represent a good cross section from the population. If I were an officer to promote a new flavour of toothpaste yet to be produced, I would use RANDOM SAMPLING METHOD Random sampling: Random sampling- all members of the population have an equal chance of being selected as part of the sample. You might think this means just standing in the street and asking passers-by to answer your questions. However, there would be many members of the population who would not be in the street at the time you are there; therefore, they do not stand any chance of being part of your sample. To pick a random sample, it is necessary to take all the names on the electoral register (A list of all the people who live in a particular area) and pick out, for example, every fiftieth name. This particular person needs to be interviewed to make the sample truly random. Random sampling is very expensive and time consuming, but gives a true sample of the population. Types of Random sample: A simple random sample is selected so that all samples of the same size have an equal chance of being selected from the population. A self-weighting sample, also known as an EPSEM (Equal Probability of Selection Method) sample, is one in which every individual, or object, in the population of interest has an equal opportunity of being selected for the sample. Simple random samples are self-weighting. Stratified sampling involves selecting independent samples from a number of subpopulations, group or strata within the population. Great gains in efficiency are sometimes possible from judicious stratification. Cluster sampling involves selecting the sample units in groups. For example, a sample of telephone calls may be collected by first taking a collection of telephone lines and collecting all the calls on the sampled lines. The analysis of cluster samples must take into account the intra-cluster correlation which reflects the fact that units in the same cluster are likely to be more similar than two units picked at random Pros and Cons: 1. There are lot of bias in Random sampling 2. It is feasible and simple as the sampling is done on a random basis. 3. Can make sample units in groups. 4. Very expensive and time consuming, but gives a true result of the population 5. While in toothpaste case, the users can given a sample piece of toothpaste randomly to get the feedback or their opinion from the chosen population Conclusion: Though the Random sampling has couple of de-merits it will help to figure out the result from the chosen population. While all other also may provide the result which may not be best comparing to the sampling method which I have chosen (Random Sampling) Business Environment Imagine yourself as a new businessman what are the objectives of business that you will keep in mind if you have to launch a new business? Business Objectives Objectives give the business a clearly defined target. Plans can then be made to achieve these targets. This can motivate the employees. It also enables the business to measure the progress towards to its stated aims. The most effective business objectives meet the following criteria: S Specific objectives are aimed at what the business does, e. g. hotel might have an objective of filling 60% of its beds a night during October, an objective specific to that business. M Measurable the business can put a value to the objective, e. g. â‚ ¬10,000 in sales in the next half year of trading. A Agreed by all those concerned in trying to achieve the objective. R Realistic the objective should be challenging, but it should also be able to be achieved by the resources available. T- Time specific they have a time limit of when the objective should be achieved, e. g. by the end of the year. The main objectives that a business might have are: Survival a short term objective, probably for small business just starting out, or when a new firm enters the market or at a time of crisis. Profit maximization try to make the most profit possible most like to be the aim of the owners and shareholders. Profit satisfying try to make enough profit to keep the owners comfortable probably the aim of smaller businesses whose owners do not want to work longer hours. Sales growth where the business tries to make as many sales as possible. This may be because the managers believe that the survival of the business depends on being large. Large businesses can also benefit from economies of scale. A business may find that some of their objectives conflict with one and other: Growth versus profit: for example, achieving higher sales in the short term (e. g. by cutting prices) will reduce short-term profit. Short-term versus long-term: for example, a business may decide to accept lower cash flows in the short-term whilst it invests heavily in new products or plant and equipment. Large investors in the Stock Exchange are often accused of looking too much at short-term objectives and company performance rather than investing in a business for the long-term. Alternative Aims and Objectives Not all businesses seek profit or growth. Some organisations have alternative objectives. Examples of other objectives: Ethical and socially responsible objectives organisations like the Co-op or the Body Shop have objectives which are based on their beliefs on how one should treat the environment and people who are less fortunate. Public sector corporations are run to not only generate a profit but provide a service to the public. This service will need to meet the needs of the less well off in society or help improve the ability of the economy to function: e. . cheap and accessible transport service. Public sector organisations that monitor or control private sector activities have objectives that are to ensure that the business they are monitoring comply with the laws laid down. Health care and education establishments their objectives are to provide a service most private schools for instance have charitable status. Their aim is the enhancement of their pupils through education. Charities and voluntary organisations their aims and objectives are led by the beliefs they stand for. Changing Objectives A business may change its objectives over time due to the following reasons: A business may achieve an objective and will need to move onto another one (e. g. survival in the first year may lead to an objective of increasing profit in the second year). The competitive environment might change, with the launch of new products from competitors. Technology might change product designs, so sales and production targets might need to change. Personal objectives are:- 1. Provide a benefit. A new business stands a greater chance at success if it is responding to a need of a consumer. Your potential customers will buy your products or service if they see that it provides some benefits to them. You must be able to respond to their what is it for me question. As a new business owner, your main task is to understand the difference between the features of your business and the benefits it provides. For example, if you are in the business of selling baby gift boxes, the feature and benefits are: Feature: Baby toys, books, CDs and videos not found in department stores Benefit: The customer will be able to conveniently find in one location the baby gift items she or he wants. Remember, customers buy on the basis of the benefits, and not the features of your products. This is what you are going to use as your main selling proposition, or what you will highlight to convince people to buy your products and services. By understanding the business and its benefit to consumers, entrepreneurs can differentiate their business and create niches in the market where they can enter and survive long enough to build 2. Determine the fit with your market. Before you can start marketing your new business, you first need to determine your target market. Thats right: not everyone is your customer. Some people erroneously think that they should sell to everybody, and that targeting will limit the scope of their pool of potential customers. Wrong! The purpose of defining your market is to make your life easier and increase the effectiveness of your promotional activities. You cant strike anywhere: you need to focus your energy and money. To identify your market, you need to look at your market data and personality attributes of those whom you think would most likely buy your products. Aside from the demographics of your potential customers (age, gender, income level, geographic location, etc. ), you also need to determine lifestyle factors. Are there any special interest activities that they belong to? Are there any social factors and cultural involvement that govern your customers? How do you think your market will use your products or services? 3. Right timing is everything. Some new businesses are way ahead of their times. You may have a brilliant idea, but if the market is not ready for your products, the venture will fall by the wayside. If you have a product that is so new in the market, be prepared to take on the cost of informing the buyers. Since they are not familiar with your products, show them how it will benefit their lives and demonstrate how they can use it. Infomercials, while costly, are very good vehicles for very new products. 4. Be ready to support your business. One business reality is that you need money to earn more money. You need resources to allow you to buy equipment, supplies, procure or manufacture products, package your products well and market it. Will your existing capital allow you to buy all the assets that you need in your business? How are you going to finance your inventory? If you are starting an online business, do you have the resources to create your site and pay for its upkeep? If your business does not show a profit within the year, do you have the money to support yourself? When starting a new business, you need to consider three major expenses and plan for them accordingly: your living expenses, direct costs and overhead. Living expenses is the salary you must produce to support yourself and your family. Direct costs include supplies, materials, and others that you need to produce your product or deliver your service. Overhead is the cost of running a business, and it covers marketing, utilities, office furniture and equipment. Sure, you can start a business even with little cash, but you need to be extremely creative in stretching your money and be prepared to compromise the growth of your business. You will have no choice except to build your business gradually. However, having money is not enough to assure success. The dot-com woes, especially, showed that you can burn millions and millions of dollars only o end up a failure. Digital Convergence, for example, got $250 million of funding for investors to distribute Cue Cats barcode readers for free yet laid-off most of their staffs after their business model showed to be unsustainable. The key is to use whatever money you have smartly. 5. Develop a blueprint for success. You cannot go into a business unprepared. It is important to have a plan. Think of going to business like going to war: you need to develop strategies to help you overcome your enemies. Without thinking through what you want to achieve and how to get there, you are a sitting duck waiting to be clobbered. Starting a new business entails a thorough and objective analysis of both your personal abilities and the business requirements. You need to have a clear strategy for marketing and the production aspects of your business. If you are a retail store, you need to have a plan in terms of procurement and sourcing. For all the excitement of a new business, you need to know where and how you will get the funds to finance your business. Do you have the available resources to make this business a success? And a million other details. A business plan is essential. Even if you do not want to write it all down (especially if you do not have investors), the process of preparing a business plan allows you to think through of every aspect of your business. It makes you think about the viability of your business and helps you avoid costly mistakes. When starting a business, you base your projected performance on a set of assumptions. If you have a plan, you will be able to test your planning assumptions and create fall-back measures in the event that real life proves to be vastly different from your initial visions. If you think through your business well, you can discover problem areas early on and initiate efforts to correct the problem. Remember, the business owner with a realistic plan has the best chances for success. 6. Market, market, market. In this world dominated by hype, you must be prepared to publicize the business or its chance for success will be slim. Unless you are a nationally known name with built-in clientele or your business is located in a prime location, you need to promote customer awareness for your business. If youre on the Web, you cannot expect to just sit in a corner and expect people to stumble on your site. Your marketing plan should revolve around three goals. The first is to inform customers what you have. You can do this by letting customers know what you have for sale, either through press releases for possible publication in print and TV media, brochures for your customers and leaflets distributed in your neighborhood. The second goal is to persuade potential customers to do what you want them to do buy from you. If youre in e-business, you do this by writing a very good sales copy on your site including testimonials from satisfied clients. If you have sales representatives, they could do the persuading in your behalf. The third function of marketing your business is to remind existing customers to come and buy again. If you are a Web marketer, you do this by sending a regular product updates, special offers and promos to customers emails. As a smart marketer, you know that you need to hold on to your existing customer base as it is much harder (and more expensive) to get a new customer than to sell to someone who already knows your product and the quality of your customer service.