Consumer Communication Deployment Tactics: An Integrated Framework for Lifestyle Brands and Retailers in India (CCF-LS).

H. R., Ganesha and Aithal, Sreeramana (2020): Consumer Communication Deployment Tactics: An Integrated Framework for Lifestyle Brands and Retailers in India (CCF-LS). Published in: International Journal of Applied Engineering and Management Letters (IJAEML) , Vol. 4, No. 2 (30 July 2020): pp. 1-21.

Abstract

Though consumer communication and orientation is a collective responsibility of all the departments/functions across the organization, a majority of lifestyle brands and retailers in India believe that the consumer communication is the deliverable of a single department/function that is widely and erroneously tagged as Marketing Department. This belief is distracting them from understanding the long-term positive impact on consumer patronage and they continue to use high-cost advertisements as one of the major tactics for consumer communication. A single theory, model and framework of consumer behavior from the existing literature available across perspectives, paradigms, and areas of study (Economics, Behavioral Economics, Psychology, Social Psychology, Anthropology, Marketing and so on) is not entirely applicable that could be adopted to suit lifestyle brands/retailers in India and designing a framework without empirical pieces of evidence is also not appropriate. In this study, i) we have studied over 28 consumer behavior theories, models and frameworks; ii) analyzed 24 months’ of actual data of a few select organized lifestyle brands and retailers in India; iii) borrowed experimental findings and insights from previous studies relevant in this context, to identify 50 factors influencing the outcomes of each stage of the consumer decision-making process and selected a few of them that have indicated the high scope of influencing capability by a lifestyle brand/retailer to design an economical and effective framework that is useful in designing consumer communication deployment tactics by a lifestyle brand or retailer in India. The framework is named as CCF-LS.

• Item Type: MPRA Paper
• Language: English
• Keywords: Indian Retail; Lifestyle Consumer; Indian Consumer Behavior; Retail Consumer; Consumer Decision Making; Consumer Buying/Purchase Decision; Consumer Theory; Consumer Acquisition; Consumer Engagement; Consumer Retention; Consumer Orientation; Consumer Communication Tactics; Communication Tools; CCF-LS
• Subjects: M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M3 - Marketing and Advertising > M31 - Marketing; M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M3 - Marketing and Advertising > M37 - Advertising

References

[1] Lee, Nick., & Lings, Ian (2008). Doing business research: a guide to theory and practice. 1st Edition, Sage Publications Ltd. ISBN: 9781412928793, Chapter 15, pp 369-384.

[2] Bechmann, C. Suzanne. (2008). Chapter in a Book - Doing business research: a guide to theory and practice., Written by, Lee, Nick., & Lings, Ian., 1st Edition, Sage Publications Ltd. ISBN: 9781412928793, pp 369.

[3] Schmitt, B. (2012). The consumer psychology of brands. Journal of Consumer Psychology. 22(1), 7–17.

[4] http://www.technopak.com/Files/fashion-retail-scenario-in-india.pdf. Retrieved in June 2020.

[5] http://statisticstimes.com/demographics/population-of-india.php. Retrieved in June 2020.

[6] https://www.mckinsey.com/industries/retail/our-insights/the-state-of-fashion-2019-a-year-of-awakening. Retrieved in June 2020.

[7] https://www2.deloitte.com/content/dam/Deloitte/in/Documents/consumer-business/in-consumer-RLS-2019-noexp.pdf. Retrieved in June 2020.

[8] https://www.amazon.in/b/?ie=UTF8&node=6648217031&ref_=topnav_storetab_top_ap_mega. Retrieved in June 2020.

[9] Kardes, F. R., Cline, T. W., & Cronley, M. L. (2011). Consumer behavior: Science and practice. Mason, OH, South-Western Cengage, 2011, 10-13.

[10] Stigler, G. J. (1950). The development of utility theory. I. Journal of political economy, 58(4), 307-327.

[11] Stigler, G. J. (1950). The development of utility theory. II. Journal of political economy, 58(5), 373-396.

[12] Stigler, G. (1972). The adoption of the marginal utility theory. Quarterly Journal of Business and Economics, 11(4), 188-193.

[13] Kurz, H. D. (2016). Hermann Heinrich Gossen. (1810–1858). In Handbook on the History of Economic Analysis Volume I. Edward Elgar Publishing. Chapter 31.

[14] O’Donnell, R. (2018). Clarifying Keynes’s Theory of Consumption And Psychological Law. History of Economics Review, 71(1), 94-117.

[15] Freud, S. (1961). The ego and the id. In The Standard Edition of the Complete Psychological Works of Sigmund Freud, Volume XIX (1923-1925): The Ego and the Id and Other Works (pp. 1-66).

[16] Rescorla, R. A. (1988). Pavlovian conditioning: It's not what you think it is. American psychologist, 43(3), 151-159.

[17] W. Fred van Raaij., & Kassaye, Wandwossen. (1978). Motivation-Need Theories and Consumer Behavior. NA - Advances in Consumer Research Volume 05, 590-595. Eds. Kent Hunt, Ann Abor, MI : Association for Consumer Research.

[18] Arrow, K. J. (1986). Rationality of self and others in an economic system. Journal of Business, October 1, S385-S399.

[19] Bagwell, L. S., & Bernheim, B. D. (1996). Veblen effects in a theory of conspicuous consumption. The American Economic Review, June 1, 349-373.

[20] Friday, C. B. (1967). Dowd, Douglas F.: Thorstein Veblen (Book Review). Journal of Economic Issues, 1(1), 111-132.

[21] Ritzer, George (2011). Sociological Theory (8th ed.). New York: McGraw-Hill. ISBN 9780078111679, 196-198.

[22] Fishbein, M., & Ajzen, I. (1974). Attitudes towards objects as predictors of single and multiple behavioral criteria. Psychological Review, 81(1), 59-74.

[23] Kautonen, T., Van Gelderen, M., & Fink, M. (2015). Robustness of the theory of planned behavior in predicting entrepreneurial intentions and actions. Entrepreneurship Theory and Practice, 39(3), 655-674.

[24] Ajzen, I., & Sheikh, S. (2013). Action versus inaction: Anticipated affect in the theory of planned behavior. Journal of Applied Social Psychology, 43(1), 155-162.

[25] Stern, H. (1962). The significance of impulse buying today. Journal of Marketing, 26(2), 59-62.

[26] Schiffman, L., & Kanuk, L.L. (2010). Consumer Behavior. Tenth Edition. United State of America: Pearson Education, Inc, p 36.

[27] Howard, John., & Sheth, Jagdish. (1969). The Theory of Buyer Behavior. Journal of the American Statistical Association, January, 470-481.

[28] Lackman, C., & Lanasa, J. M. (1993). Family decision‐making theory: an overview and assessment. Psychology & Marketing, 10(2), 81-93.

[29] Bergstrom, T. C. (1996). Economics in a family way. Journal of Economic Literature, 34(4), 1903-1934.

[30] Bergstrom, T. C. (1997). A Survey of Theories of the Family. Handbook of population and family economics, 1, 21-79.

[31] Leuthold, J. H. (1968). An empirical study of formula income transfers and the work decision of the poor. Journal of Human Resources, 3(3) 312-323.

[32] Becker, G. S. (1974). A theory of social interactions. Journal of Political Economy, 82(6), 1063-1093.

[33] Konrad, K. A., & Lommerud, K. E. (1995). Family Policy with Non-cooperative families. Scandinavian Journal of Economics, 97, 581-601.

[34] Konrad, K. A., & Lommerud, K. E. (1996). The Bargaining Family Revisited. Centre for Economic Policy Research Discussion Paper No. 1312, June.

[35] Francesco, M. Nicosia. (1966). Consumer decision processes: marketing and advertising implications. Englewood Cliffs NJ, Prentice Hall.

[36] Runyon, K. E., & Stewart, D. W. (1987). Consumer behavior and the practice of marketing, 3rd ed., Columbus, OH: Merrill Publishing Company.

[37] Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer Behavior. 8th, Forth Worth, p 95.

[38] Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2001). Customer behavior. Mason, OH: South-Western.

[39] Bettman, J. R. (1979). Information processing theory of consumer choice. Addison-Wesley Pub. Co.

[40] McCarthy, E. J., Perreault, W. D., & Quester, P.G. (1997). Basic Marketing-A Managerial Approach. Australia: McGraw-Hill Book Co. Pte. Ltd.

[41] Andreason, A. R (1965). Attitudes and Consumer Behavior: A Decision Model in New Research in Marketing (ed. l. Preston). Institute of Business and Economic Research, University of California, Berkeley, 1-6.

[42] Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159-170.

[43] Michael, R. Solomon. (1996). Consumer Behavior, 3rd ed. Prentice Hall Englewood Cliffs. NJ, p 33.

[44] Middelton, V. T. C. (1994). Marketing for Travel and Tourism. 2nd Edition, Butterworth-Heinemann, London, 104-112.

[45] Gilbert, D. C. (1991). An examination of the consumer behaviour process related to tourism. An examination of the consumer behaviour process related to tourism., 78-105.

[46] Sheth, J. N. (1973). A model of Industrial Buyer Behavior. The Journal of Marketing, 37(4), 50-56.

[47] Gertner, D., & Kotler, P. (2004). How can a place correct a negative image?. Place Branding, 1(1), 50-57.

[48] Thaler, R. H., & Sunstein, C. R. (2009). Nudge: Improving decisions about health, wealth, and happiness. Penguin Group (USA) Inc, New York.

[49] Parkinson, J. A., Eccles, K. E., & Goodman, A. (2014). Positive impact by design: The Wales Centre for Behaviour change. The Journal of Positive Psychology, 9(6), 517-522.

[50] Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).

[51] Marangunić, N., & Granić, A. (2015). Technology acceptance model: a literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81-95.

[52] Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30.

[53] Stephen, A. T. (2016). The role of digital and social media marketing in consumer behavior. Current Opinion in Psychology, 10, 17-21.

[54] Dunn Jr, D. T., & Murray, K. B. (1992). Problem-Solution and Consultative Selling Exercise: Simplifying Complex Buying and Selling Behavior. Marketing Education Review, 2(3), 28-38.

[55] Sharma, P., Sivakumaran, B., & Marshall, R. (2010). Impulse buying and variety seeking: A trait-correlates perspective. Journal of Business Research, 63(3), 276-283.

[56] Hausman, A. (2000). A multi-method investigation of consumer motivations in impulse buying behavior. Journal of Consumer Marketing, 17(5), 403-426.

[57] Holloway, R. J. (1967). An experiment on consumer dissonance. Journal of Marketing, 31(1), 39-43.

[58] Kaas, K. P. (1982). Consumer habit forming, information acquisition, and buying behavior. Journal of Business Research, 10(1), 3-15.

[59] Yuen, K. F., Wang, X., Ma, F., & Li, K. X. (2020). The Psychological Causes of Panic Buying Following a Health Crisis. International Journal of Environmental Research and Public Health, 17(10), 3513.

[60] Yurchisin, J., & Johnson, K. K. (2004). Compulsive buying behavior and its relationship to perceived social status associated with buying, materialism, self‐esteem, and apparel‐product involvement. Family and Consumer Sciences Research Journal, 32(3), 291-314.

[61] Lindquist, J. D. (1974). Meaning of Image: A Survey of Empirical and Hypothetical Evidence. Journal of Retailing, 50(4), 29-38.

[62] Hirschman, E. C., Greenberg, B., & Robertson, D. (1978). The intermarket reliability of retail image research: an empirical examination. Journal of Retailing, 54(1), 3-12.

[63] Ghosh, A. (1994). Retail Management. Forth Worth, TX: The Dryden Press.

[64] Omar, O. (1999). Retail Marketing. London: Pitman Publishing House.

[65] D, Mazursky., & J, Jacoby. (1986). Exploring the development of store images. Journal of Retailing, 62(2), 145-165.

[66] Lassk, F.G. (2000). Investigating Aspects of Customer Satisfaction at the c-store: The c-store Product Mix and Image. Journal of Professional Services Marketing, 21(2), 15-26.

[67] Osman, M. Z. (1993). A Conceptual Model of Retail Image Influences on Loyalty Patronage Behavior. International Review of Retail Distribution and Consumer Research, 2(1), 138-48.

[68] Lilien, G. L., Kotler, P., & Moorthy, K. S. (1995). Marketing Models. Prentice-Hall.

[69] Rosenbloom, B. (1983). Store image development and the question of congruency, in Darden, W.R., Lusch, R.F. (Eds). Patronage Behavior and Retail Management. Elsevier Science Publishing Co., Dordrecht, 141-149.

[70] Amirani, S., & Gates, R. (1993). An attribute-anchored conjoint approach to measuring store image, International Journal of Retail and Distribution Management, 21(5), 30-39.

[71] Backer, J. Levy, M., & Grewal, D. (1992). An Experimental Approach to Making Retail Store Environmental Decisions. Journal of Retailing, 68(2), 445-460.

[72] Day, G. S., & R, Wensley. (1988). Assessing Advantage: A Framework for Diagnosing Competitive Superiority. Journal of Marketing, 52(2), 1–20.

[73] Ellis, B., & Kelly, S.W. (1992). Competitive Advantage in Retailing. International Review of Retail, Distribution and Consumer Research, vol. 2(4), 381-96.

[74] Mendes, R., & Themindo, C.J. (2004). Retail locations as a competitive strategy. Pearson Education, New Delhi.

[75] Reynolds, J., Lowe, M., Howard, E., Cuthbertson, C., & Hristov, L. (2007). Perspectives on retail format innovation: relating theory and practice. International Journal of Retail & Distribution Management. 35, 647-660.

[76] Chen, Y., Rivas, A. A., & Wu, W. (2018). Exploring the determinants and consequences of salesperson market orientation behavior. Journal of Service Theory and Practice, 28(2), 170-195.

[77] Weitz, Barton A. (1979). A Critical Review of Personal Selling Research: The Need for Contingency Approaches. Critical Issues in Sales Management: State-of-the-Art and Future Research Needs. Gerald Albaum and Gilbert A. Churchill, Jr. Eds. Eugene: College of Business Administration, University of Oregon, 76-126.

[78] Salmon, W. J. (1989). Retailing in the age of execution. Journal of Retailing, 65(3), 368-378.

[79] Monroe, K. B., & Guiltinan, J. P. (1975). A path-analytic exploration of retail patronage influences. Journal of Consumer Research, 2(1), 19– 28.

[80] Arnold, S. J., Oum, T. H., & Tigert, D. J. (1983). Determinant attributes in retail patronage: Seasonal temporal, regional and international comparisons. Journal of Marketing Research, 20(2), 149–157.

[81] Mason, J. B., Durand, R. M., and Taylor, J. L. (1983). Retail patronage: A causal analysis of antecedent factors. In W. Darden, & R. Lusch (Eds.), Patronage behavior and retail management (pp. 339–352). New York: North-Holland.

[82] Keng, K. A., & Ehrenberg, A. S. C. (1984). Patterns of store choice. Journal of Marketing Research, 21(4), 399–409.

[83] Louviere, J. J., & Gaeth, G. J. (1987). Decomposing the determinants of retail facility choice using the method of hierarchical and international comparisons. Journal of Marketing Research, 63(1), 149–157.

[84] Spiggle, S., & Sewall, M. A. (1987). A choice set model of retail selection. Journal of Marketing, 51(2), 97–111.

[85] Dawson, S., Bloch, P. H., & Ridway, N. M. (1990). Shopping motives, emotional states and retail outcomes. Journal of Retailing, 66(4), 408–427.

[86] Burke, R., Bari, R., Harlam, A., Kahn, B. E., & Lodish, L. M. (1992). Comparing dynamic consumer choice in real and computer- simulated environments. Journal of Consumer Research, 19(1), 71–82.

[87] McCarthy, E. J. (1960). Basic marketing: a managerial approach. Homewood, Illinois: Richard D. Irwin. Inc. McCarthy Basic Marketing: A Managerial Approach, 1960, 24-95.

[88] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Integrated Marketing Mix Framework for Baby Care Retailing in India. International Journal of Applied Engineering and Management Letters (IJAEML), 4(1), 191-218.

[89] Ganesha, H. R. & Aithal, P. S. (2020). Establishing True Lifestyle Brand in India: An Integrated Marketing Mix Framework. International Journal of Management, Technology, and Social Sciences (IJMTS), 5(1), 261-284.

[90] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). An Integrated Framework to Derive Optimal Number of Sales Personnel for a Retail Store. International Journal of Applied Engineering and Management Letters (IJAEML), 4(1), 41-50.

[91] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Input and Output Driven Sales Personnel Performance Measures: Insights from an Experiment. International Journal of Case Studies in Business, IT, and Education (IJCSBE), 4(1), 23-37.

[92] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Decentralized Discounting Framework: Insights from an Experiment. International Journal of Applied Engineering and Management Letters (IJAEML), 4(1), 20-40.

[93] Ganesha, H. R. Aithal, P. S. & Kirubadevi, P. (2020). Integrated Inventory Management Control Framework. International Journal of Management, Technology, and Social Sciences (IJMTS), 5(1), 147-157.

[94] Ganesha, H. R. & Aithal, P. S. (2020). Sales Personnel Training – An Integrated Framework for Indian Brick-and-Mortar Retailers. International Journal of Case Studies in Business, IT, and Education (IJCSBE), 4(1), 172-187.

[95] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Need-Based Sales Pitch: Insights from an Experiment. International Journal of Case Studies in Business, IT, and Education (IJCSBE), 4(1), 79-87.

[96] Lavidge, R. J., & Steiner, G. A. (1961). A Model for Predictive Measures of Advertising Effectiveness. Journal of Marketing, October, 59-62.

[97] Ganesha, H. R. & Aithal, P. S. (2020). Rational Distribution Channel Mix for Lifestyle Brands in India – An Empirical Study. International Journal of Case Studies in Business, IT, and Education (IJCSBE), 4(1), 136-154.

[98] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Ideal Store Locations for Indian Retailers – An Empirical Study. International Journal of Management, Technology, and Social Sciences (IJMTS), 5(1), 215-226.

[99] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Consumer Affordability in Tier-1, Tier-2, and Tier-3 Cities of India – An Empirical Study. International Journal of Applied Engineering and Management Letters (IJAEML), 4(1), 156-171.

[100] Ganesha, H. R. & Aithal, P. S. (2020). Measuring True Potential of Lifestyle Brands in India: A Firm-Level Scale for Existing and Potential Investors (FL-LBSi). International Journal of Applied Engineering and Management Letters (IJAEML), 4(1), 279-302.

[101] Ganesha, H. R. & Aithal, P. S. (2020). Measuring True Potential of Lifestyle Brands in India: A Consumer-Level Scale for Existing and Potential Investors (CCF-LS). International Journal of Case Studies in Business, IT, and Education (IJCSBE), 4(1), 207-222.