Monday, April 1, 2019
How E Commerce Is Changing Consumer Buying Behaviour Marketing Essay
How E Commerce Is Changing Consumer Buying Behaviour market EssayIn Electronic Commerce, online buying is the address consumers go finished when they decide to shop on the lucre. Therefore, the internet has developed to a extremely competitive market, where the competition over the consumer is fierce. In order to have an adjoin on and retain consumers, in a competitive market, Constantinides (2004) maintaind that the first gear step is to identify certain influencing aspects when purchasing online, these give the bounce be regarded as factors.The intention of the look into is primarily to identify and get insight into what primary(pre noinal) factors the online consumer takes into consideration when purchasing books online, as books ar the most commonly bought output on the internet (Arbeitsgemeinschaft Online-Forschung e.V. AGOF e.V., 2007).Concise study of the Related LiteratureThis re look for suggests that consumers attitude toward cyberspace obtain first depends on the direct effectuate of relevant online shop features (Davis, 1993). The core constructs of our framework are adapted from the applied science Acceptance instance ( tam) by Davis (1989), an influential research model in the nurture systems field. Although this model is limited wholey tailored to understand the adoption of computer-based technologies on the job or in the workplace, it has proven to be suitable as a divinatory foundation for the adoption of e-commerce as well (Chen et al., 2002). Therefore, the TAM structures are employed as a foundation for our research framework.Online shop features foot be any consumers perceptions of functional and utilitarian dimensions, like still of use and usefulness, or their perceptions of emotional and hedonic dimensions like enjoyment (Menon and Kahn, 2002). The internet has developed into a new distribution channel (Hollensen, 2004) and the evolution of this channel, e-commerce, has been set by Smith and Rupp (2003) to be t he most significant contribution of the education revolution. The number of internet users is constantly increase which also signifies that online purchasing is increasing (Joines, et al., 2003). The rapid increase is explained by the growth in the use of broadband applied science have with a change in consumer demeanour (Oppenheim Ward, 2006). apply the internet to shop online has become one of the primary reasons to use the internet, combined with searching for products and finding information about them (Joines et al., 2003). Smith and Rupp (2003) also state that the consumers have never had access to so many suppliers and product/ attend opinions.By integrating Fishbeins attitudinal theoretical model (Fishbein 1967) and the expectation-confirmation model (Oliver 1980), we attempt to colligate the leash elements together and form a base model Model of Intention, Adoption, and Continuance (MIAC) (as depicted in Figure 2) for the development of an online consumer demea nor framework.(Purpose) (Implementation) ( labor)ConsumerOnline buyConsumerOnlineRe bribeConsumerOnlinePurchaseIntentionFigure 2 Model of Purpose, Implementation, and PersistenceFishbeins attitudinal model has been widely used in the marketing context (Lilien et al 1992) and this paradigm provides researchers with a useful lens for examining the factors explaining consumer purchasing intention and adoption. harmonize to this model, demeanor is predominantly determined by intention. Other factors like attitudes, immanent norms, and sensed behavioral control are also shown to be link up to an appropriate set of salient behavioural, normative, and control beliefs about the behaviour. However, Fishbeins model kale at the adoption level and does not capture some other distinguished factors that explain and predict consumer continuance behaviour (re procure).The expectation-confirmation model (Oliver 1980), on the other hand, focuses on the post- grease ones palms behaviour. It is a widely used model in the consumer behaviour literary productions, particularly in explaining consumer satisfaction and repeat purchase. Satisfaction is the central theory of this model and it is formed by the gap mingled with expectation and perceived performance (Oliver 1980). The expectation-confirmation theory suggests that if the perceived performance meets ones expectation, confirmation is formed and consumers are satisfied. Bhattacherjee (2001) stated that satisfied users are more likely to continue the IS use. Thus, we top dog that adoption and continuance are connected to each other through with(predicate) several mediating and moderating factors such as trust and satisfaction.The research articles seem in a variety of journals and conference proceedings in the handle of information systems, marketing, management, and psychology. A review of these articles indicates that researchers mostly draw theories from classical consumer behaviour research, such as behavioural learning (Skinner, 1938), personality research (Folkes 1988), information processing (Bettman 1979), and attitude models (Fishbein 1967).There are still significant differences between offline and online consumer behaviour that warrant a distinguishing conceptualization. For example, Vijayasarathy (2001) integrated the web specific factors (online shop aid) into the theory of reasoned action (TRA) to better explain consumer online shopping behaviour. meter and Zahedi (2001) built on the model of the theory of planned behaviour (TPB) and examined the do of website design on the adoption of lucre shopping.Donal Rogan (2007) explains the kindred between consumer behaviour and marketing strategy and states that strategy is about increasing the prob capability and frequency of buyer behaviour. Requirements for succeeding in doing this are to know the consumer and understand the consumers take and wants.Chisnall (1995) points out that human needs and motives are inextricably linked and that the relationship between them is so very close that it becomes difficult to identify the circumstantial difference which may characterize them. Buyers characteristics are important theories from Kotler and Armstrong (2007) and it explains the way that the consumer interprets and receives stimuli from advertisements. The decisions of consumers are influenced by a number of individual characteristics that are linked to the consumers specific needs. (Kotler Armstrong, 2007)A review of online consumer research reveals that the scope of published studies is rather broad, the studies fall out relatively fragmented with contradictory results, and only very few prior(prenominal) studies (e.g., Jarvenpaa and Todd 1996, Koufaris et al 2001) have attempted to systematically review and develop a framework for the research of this important research area.Aims and Objectives of StudyTo develop a valid and reliable measure of motivations and costs associated with online information s earch and purchase behaviourTo provide a systematic and exhaustive review of online consumer behaviour researchTo test the ability of the measure to identify the impact that specific motivations and costs have on apparel search and purchase decisions among Internet shoppers worldwideTo identify important constructs that are specific to the context of online purchasingto propose an integrated framework that enhances our understanding of the underlying driving factors of online consumer behaviourTo evaluate the potential of the Internet as an efficient and effective mean(a) to disseminate information to enhance brand/product awareness, evaluations, and purchase intentions in the global marketplaceTo provide directions for future research in this area. query QuestionsHow does the level of computer and Internet run across of the target group mention to the level of Internet purchases?What main factors affect the online consumer when considering and making a purchase over the internet ?How do these factors influence the consumer when purchasing books online?What kind of segments can be found within the determine consumers when purchasing books online?What is the connection with the identified factors and consumer segment groups?A Structured investigate ApproachPrior literature provides us with a rich foundation on which to build a research framework for the study of online consumer behaviour. As suggested by Douglas et al. (1994), strong theoretical and conceptual frameworks can be developed through an integration of constructs from divers(prenominal) research traditions and disciplines. In the current study, we review the prior literature of online consumer behaviour and analyze the theories and the underpinning factors.A systematic and structured approach in search and review is strongly recommended in writing sound IS literature reviews (Webster and Watson 2002). In this study, we conducted an exhaustive and systematic electronic search using ProQuest, Soci al comprehension Citation Index, IEEE Xplore, and other bibliographic sources with keywords such as online shopping, Internet shopping and online consumer purchasing behaviour. In addition to the search for referred journal articles, we included three IS-related conference proceedings (AMCIS, HICSS, ICIS) in our literature search and analysis. look for methodologyTo answer the purpose of the thesis, both primary and secondary selective information had to be peaceful. Primary entropy is entropy collected especially to answer the purpose and research questions of the current research. This data must be poised by the researcher of the research at hand and can be do by observation, interviews or questionnaires. Secondary data is data that has been collected earlier, to meet the purpose of some other research. This data can be gathered from books, articles, reports and many others sources. (Saunders et al., 2007)Direct ObservationObservation is a research technique that is often implicit in the data-gathering approach and observation is something we cannot fail to do as raft, we are all expert observers (Hackley, 2003). Furthermore, participant observation give be chosen as it puts the researcher where the action is enabling them to experience the lives of informants, one option is to observe consumers behaviour and their purchase decision in online store (Meiselman et al., 2000). An observational approach provides a clearer representation of the decision process that consumers proceed through rather than the consumers perceptions of that process (Douglas and Wind, 1978), thus providing the researcher with the ability to uncover unconscious consumer actions.SurveyThe greatest use of questionnaire is make by survey as strategy. However, both experiment and case studies research strategies can make use of these techniques (Oppenheim, 1992). Some authors reserve it exclusively for surveys where the person say the question actually records their own answers and other authors use it as a more general term to inclusively for survey interview hat administered either face to face or by telephone. (Kervin 1999)In addition, questionnaire can be used as a general term to include all techniques of data collection in which each person is asked to respond to the said(prenominal) set of questions in a predetermined order. (DeVaus, 1996)InterviewAn interview is a purposeful discussion between two or more people (Kahn and Cannel 1957). The use of interviews can help to gather valid and reliable data that relevant to the research questions and objectives.sample distributionSampling techniques provides arrange of methods that enable to crop the amount of data need to collect by considering only data from a sub groups rather than all possible cases or elements. Sampling also save times and give over view of population. police detective Kervin (1999) argues that using sampling enables a higher overall accuracy than a census.Methods of Data Analysis During the dissertation both the quantitative and qualitative data will require analysis. In order to analyze the data collected through the survey and the focus group, several strategies were used. The aim was to give a descriptive analysis of the consumer behaviour in online shopping. The tables, charts and pie charts were interpreted as made up the foundation for the focus group discussion.The method of analysis to be followed is that proposed by Dey, Miles and HubermanComprehend and manage it.Merge related data haggard from different transcript and notes.Identify key themes or pattern from it for come on exploration.Develop and / or test hypotheses based on these apparent patterns or relationships.Draw and verify conclusions.(Dey, 1993 Miles and Huberman, 1994)Moral Issue of ResearchConsumers were firstly find without interruption, allowing their natural behaviour will be recorded. Only once they peg their actual purchase decision, the researcher will approach them. Those sh oppers who will picked up a product to purchase were intercepted as they walk away from the storage locker and will be asked to answer a few short questions regarding their purchase choice.Research TimetableWeeks1234567891011121314Internet ResearchLiterature ReviewResearch envisionMethodologyData SourcesData CollectionData Analysis musical composition up DraftEditingFinal text fileBinding DocumentReferencesArbeitsgemeinschaft Online-Forschung e.V. AGOF e.V., 2007.Bettman, J. R. (1979) An information Processing Theory of Consumer Choice, Reading, Mass. Addison-Wesley.Bhattacherjee, A. (2001) Understanding development Systems Continuance An foresight Confirmation Model, MIS Quarterly, vol. 25, no. 3, pp. 351-370.Chen, L., Gillenson, M.L. and Sherrell, D.L. (2002), Enticing online consumers an extended technology toleration perspective, training Management, Vol. 39 no. 8, pp. 705-19.Chisnall, M. P. (1995) Consumer Behaviour, tertiary Edition, Maidenhead, McGraw Hill Companies. Constantinides, E. (2004) Influencing the online consumers behaviour the Web experience, Internet Research 14 2, 111-126.Davis, F.D. (1989), Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, Vol. 13 No. 3, pp. 319-40.Davis, F.D. (1993), User acceptance of information technology system characteristics, user perceptions and behavioural impacts, external journal of Man-Machine Studies, Vol. 38 No. 3, pp. 475-87.Devaus, D. A. (1996) Surveys in Social Research, 4th edition, London, UCL Press.Dey, I. (1993) Qualitative Data Analysis, London, Routledge.Donal Rogan, FH Joanneum Graz, 28 may 1 June 2007, outside(a) Consumer Behaviour.Douglas, S. P., Wind, Y. (1978) Examining family role and authority patterns two methodological issues, Journal of Marriage and the Family, Vol. 3 pp.35-47.Fishbein, M. (1967) spatial relation and Prediction of Behaviour, in M. Fishbein, ed., Readings in Attitude Theory and Measurement, tender York J ohn Wiley, pp. 477-492.Fishbein, M. (1967) Attitude and Prediction of Behaviour, in M. Fishbein, ed., Readings in Attitude Theory and Measurement, New York John Wiley, pp. 477-492.Folkes, V. S. (1988) Recent Attribution Research in Consumer Behaviour A Review and New Directions, Journal of Consumer Research, vol. 14, pp. 548-565.Hackley, C. E. (2003) Doing Research Projects in Marketing, Management and Consumer Research, Routledge, London.Hollensen S. (2004) Global marketing A Decision Iriented Approach, 3rd Edition, Edinburgh Gate, Pearson Higher Education.Jarvenpaa, S. L., and Todd, P. A. (1996) Consumer reactions to electronic shopping on the World Wide Web, International Journal of Electronic Commerce, vol. 1, no. 2, pp. 59-88.Joines, L. J., Scherer, W. C., and Scheufele A. D. (2003) Exploring motivations for consumer Web use and their implications for e-commerce, Journal of Consumer Marketing, 20 2, 90 108.Kervin, J. B. (1999) Methods for Business research, 2nd edition, Readi ng, Addison Wiley.Khan, R. and Cannell, C. (1957) The Dynamics of interviewing, New York, Wiley.Kotler, P. Armstrong, G. (2007) Principles of Marketing, 12th Edition, fastness Saddle River, apprentice Hall.Koufaris, M., Kambil, A., and Labarbera P. A. (2001) Consumer Behaviour in Web-Based Commerce An Empirical Research, International Journal of Electronic Commerce, vol. 6, no. 2, pp. 115-138.Lilien, G. L., Philip K., and Sridhar M. K. (1992) Marketing Models, New Jersey Prentice Hall.Meiselman, H. J., Johnson, J. L., Reeve, W., Crouch, J. E. (2000) Demonstration of the influence of the eating environment on food acceptance, Appetite, Vol. 35 pp .231-7.Menon, S. and Kahn, B. (2002), Cross-category effects of induced arousal and pleasure on the Internet shopping experience, Journal of Retailing, Vol. 78 No. 1, pp. 31-40.Miles, M.B. and Huberman, A. M. (1994) Qualitative Data Analysis (2nd edition), gee Oaks, California, Sage.Oliver, R. L. (1980) A Cognitive Model for the Anteced ents and Consequences of Satisfaction, Journal of Marketing Research, no. 17, pp. 460-469.Oppenheim, A. N. ( 1992) Questionnaire end, New edition , London , Printer.Oppenheim, C. and Ward, L. (2006) Evaluation of web sites for B2C e-commerce, Aslib Proceedings New Information Perspectives 58 3, 237-260.Saunders, M. N. K., Thornhill, A., Lewis, P. (2007) Research Methods for Business Students. London Pearson Higher Education.Skinner, B. F. (1938) The Behaviour of Organisms An observational Analysis, New York Appleton Century Crofts.Smith, D. A., and Rupp, T. W. (2003) Strategic online customer decision making supplement the transformational power of the Internet, Online Information Review 27 6, 418 432.Song J., and Zahedi, F. M. (2001) Web Design In E-Commerce A Theory And Empirical Analysis, Proceedings of the International meeting of Information Systems 2001, pp. 205-220.Vijayasarathy, L. R. (2001) The Impact of Shopping Orientations, Product Types, and Shopping Aids on Attitu de and Intention to Use Online Shopping, Quarterly Journal of Electronic Commerce, vol. 2, no. 2, pp. 99-113.Webster J., and Watson R. T. (2002) Analyzing the Past to Prepare for the Future Writing a Literature Review (pp. xiii-xxiii), MIS Quarterly, vol. 26, no. 2, pp. xiii-xxiii (13-23).
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