Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Developing Interpretive Structural Model of Consumer Responsiveness Towards Advertisement


Affiliations
1 Department of Management, Dayalbagh Educational Institute, Agra, Uttar Pradesh, India
2 Department of Management, Dayalbagh Educational Institute, Dayalbagh, Agra, Uttar Pradesh, India
     

   Subscribe/Renew Journal


Consumer responsiveness is highly dynamic and volatile in nature. In past studies, there have been numerous variables identified however soon it was understood that the final implication of communication on responsiveness is consequence of interaction and connection between these elements. Marketers in present world have been facing challenges in terms of understanding the relationship between these elements. This study will focus, explore and explain how the marketing of the product can be made more effective and efficient. This study becomes more important because it categorise the critical factors thus making things easier to plan for better marketing of the product. This study explains the sequential approach of marketing with relevance of each of the factor. This study will quantify level of exposure of advertisement that compel consumer to buy product. The methodology focuses on ISM modelling to identify and summarizing relationship between various specific variables, defining the problem. This technique is best suited to deal with the complex situation and finding out their solution. In the present study, main focus would be on the different factors that are responsible for change in responsiveness of customer towards any advertisement. After review of various studies and customer opinion on the survey various factors will be identified and ISM modelling is done to predict relationship between various variables.

Keywords

Consumer Responsiveness, Structural Self-Interaction Matrix, Level Partition, Interpretive Structural Modelling, MICMAC Analysis.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Crisp, R. (1987). Persuasive advertising, autonomy, and creation of desire. Journal of Business Ethics, 6, 413–418.
  • Mick, D. G., & Buhl, C. (1992). A meaning based model for advertising experiences. Journal of Consumer Research, 19(93), 93–143.
  • Barry, T. E., & Howard, D. J. (1990). A review and critique of the hierarchy of effects in advertising. International Journal for Advertising, 9(2), 121–135.
  • Wijaya, B. S. (2012). The development of hierarchy of effects model in advertising. International Research Journal of Business Studies, 5(1), 73–85.
  • Hassana, S., Nadzim, S. Z. A., & Shiratuddin, N. (2015). Strategic use of social media for small business based on the. Procedia, 172, 262–269.
  • Ghirvu, A. I. (2013). The Aida model for advergames. The USV Annals, 13(1), 17.
  • Rawal, M. P. (2013). AIDA marketing communication model: Stimulating a purchase. IJRSMS, 1(1), 2320–8236.
  • Bagautdinova, N., Gafurov, I., Kalenskaya, N., & Novenkova, A. (2012). The regional development strategy based on territorial marketing. World Applied Sciences Journal, 18, 179–184.
  • Li, J., & Yu, H. (2013). An innovative marketing model based on AIDA: A case from e-bank campus-marketing by China construction bank. iBusiness, 5(3B), 47–51.
  • Singh, M. D., Shankar, R., Narain, R., & Agarwal, A. (2003). An interpretive structural modelling of knowledge managemnet in enginerring industries. Journal of Advances in Management Research, 1(10), 28–40.
  • Fletcher, K. P., & Peters, L. D. (1997). Trust and direct marketing environments: A consumer perspective. Journal of Marketing Management, 13, 523–539.
  • Chang, T. Z., & Wildt, A. R. (1994). Price, product information and purchase intention: An emperical study. Journal of the Academy of Marketing Science, 22(1), 16–27.
  • Smith, R. E. (1993). Integrating information from advertising and trial: Processes and effects on consumer. American Marketing Association, 30(2), 204–219.
  • Jin, H. S. (2003). Compounding consumer interest. The Journal of Advertisement, 32(4), 29–41.
  • Holbrook, M. B., & Batra, R. (1987). Assessing the role of emotions as mediators of consumer responses to advertising. The Journal of Consumer Research, 14(3), 404–420, 1987.
  • Wells, V. K. (2014). Behavioural psychology, marketing and consumer behaviour: A literature review and future research agenda. Durham Research Online, 30(11–12), 1119–1158.
  • Kardes, F. R., Posavac, S. S., & Cronley, M. L. (2004). Consumer inference: A review of processes, bases, and judgment contexts. Journal of Consumer Psychology, 14(3), 230–256.
  • Morris, E. C., & Holbrrok, B. (1982). The experiential aspects of consumptions: Consumer fantasies, feelings and fun. The Journal Consumer Research, 9(2), 132–140.
  • Bargh, J. A. (2002). Losing conciousness: automatic influences on consumer judgment, behaviour and motivation. The Journal of Consumer Research, 29(10), 93–153.
  • Pfohl, H. C., Gallus, P., & Thomas, D. (2011). Interpretive structural modelling of supply chain risk. International Journal of Physical Distribution & Logistics Management, 41(9), 839–859.

Abstract Views: 281

PDF Views: 0




  • Developing Interpretive Structural Model of Consumer Responsiveness Towards Advertisement

Abstract Views: 281  |  PDF Views: 0

Authors

Udit Srivastava
Department of Management, Dayalbagh Educational Institute, Agra, Uttar Pradesh, India
Abhinav Pandey
Department of Management, Dayalbagh Educational Institute, Dayalbagh, Agra, Uttar Pradesh, India

Abstract


Consumer responsiveness is highly dynamic and volatile in nature. In past studies, there have been numerous variables identified however soon it was understood that the final implication of communication on responsiveness is consequence of interaction and connection between these elements. Marketers in present world have been facing challenges in terms of understanding the relationship between these elements. This study will focus, explore and explain how the marketing of the product can be made more effective and efficient. This study becomes more important because it categorise the critical factors thus making things easier to plan for better marketing of the product. This study explains the sequential approach of marketing with relevance of each of the factor. This study will quantify level of exposure of advertisement that compel consumer to buy product. The methodology focuses on ISM modelling to identify and summarizing relationship between various specific variables, defining the problem. This technique is best suited to deal with the complex situation and finding out their solution. In the present study, main focus would be on the different factors that are responsible for change in responsiveness of customer towards any advertisement. After review of various studies and customer opinion on the survey various factors will be identified and ISM modelling is done to predict relationship between various variables.

Keywords


Consumer Responsiveness, Structural Self-Interaction Matrix, Level Partition, Interpretive Structural Modelling, MICMAC Analysis.

References