Mediating Role of Consumer Involvement in the Relationship between Marketing Stimuli and Consumer Purchase Behavior

Authors

  • Azhar Khan Joint Director, ISPAR, Pakistan. Author
  • Mohib Ullah Abdul Wali Khan University, Mardan SRH, Pabbi Campus, Pakistan. Author
  • Faiza Faiz Malik Abdul Wali Khan University, Mardan SRH, Pabbi Campus, Pakistan. Author

DOI:

https://doi.org/10.52633/jms.v4i1.185

Keywords:

Marketing Stimuli, Consumer’s Involvement, Consumer’s Purchase Behavior

Abstract

This study has applied the claims of the S-O-R model regarding consumer purchase behavior and investigates the impact of marketing stimuli on the purchase behavior of Smartphone users. To add value to the concept; researchers have conceptualized consumer involvement as a mediator in the relationship between marketing stimuli and consumer purchase behavior. Marketing stimuli are external marketing components and include factors such as product characteristics, pricing, processes, personnel, tangible evidence, and promotion. In this connection, a quantitative and deductive approach has been employed to conduct cross-sectional primary data. To underline the phenomenon, a sample of 425 smartphone users has responded through a self-administered questionnaire. Based on theory and prior literature, hypotheses are generated in order to test through AMOS. In this regard, a measurement model was established while setting all the thresholds of the model. Finally, a structural model was then tested with the aim to test the hypotheses. The findings of the study revealed that marketing stimuli have a positive impact on both consumer involvement and purchase behavior. Whereas consumer involvement does mediate the relationship between marketing stimuli and consumer purchase behavior. This research provides a deep insight into the use of marketing stimuli in studying consumers’ purchase behavior. Further research can be conducted by observing the impact of various social-culture aspects on customer behavior, also, different marketing factors, such as promotion, people, venue, and procedures, could be used as dimensions of marketing stimuli to increase the study's exposure and yield diverse outcomes.

Author Biographies

  • Azhar Khan, Joint Director, ISPAR, Pakistan.

    Joint Director, ISPAR, Pakistan. ORCID: http://orcid.org/0000-0001-6616-0662

  • Mohib Ullah, Abdul Wali Khan University, Mardan SRH, Pabbi Campus, Pakistan.

    Assistant Professor, Abdul Wali Khan University, Mardan SRH, Pabbi Campus, Pakistan.

  • Faiza Faiz Malik, Abdul Wali Khan University, Mardan SRH, Pabbi Campus, Pakistan.

    Lecturer, Abdul Wali Khan University, Mardan SRH, Pabbi Campus, Pakistan.

References

Abdullah, D., Jayaraman, K., & Kamal, S. B. M. (2016). A Conceptual Model of Interactive Hotel Website: The Role of Perceived Website Interactivity and Customer Perceived Value Toward Website Revisit Intention. The Fifth International Conference on Marketing and Retailing (5th INCOMaR) 2015, 37, 170–175. https://doi.org/10.1016/S2212-5671(16)30109-5

Abu-Shanab, E. A., & Abu-Baker, A. N. (2014). Using and buying mobile phones in Jordan: Implications for future research and the Development of New Methodology. Technology in Society, 38, 103–110. https://doi.org/10.1016/j.techsoc.2014.03.001

Adenso-Díaz, B., Lozano, S., & Palacio, A. (2017). Effects of dynamic pricing of perishable products on revenue and waste. Applied Mathematical Modelling, 45, 148–164. https://doi.org/10.1016/j.apm.2016.12.024

Ahire, S. L., Golhar, D. Y., & Waller, M. A. (1996). Development and validation of TQM implementation constructs. Decision Sciences, 27(1), 23–56.

Alastair Holmes, Angela Byrne, & Jennifer Rowley. (2013). Mobile shopping behaviour: insights into attitudes, shopping process involvement and location. International Journal of Retail & Distribution Management, 42(1), 25–39. https://doi.org/10.1108/IJRDM-10-2012-0096

Alavi, S., Wieseke, J., & Guba, J. H. (2016). Saving on Discounts through Accurate Sensing – Salespeople’s Estimations of Customer Price Importance and Their Effects on Negotiation Success. Journal of Retailing, 92(1), 40–55. https://doi.org/10.1016/j.jretai.2015.08.002

Anderson, B. A., Folk, C. L., & Courtney, S. M. (2016). Neural mechanisms of goal-contingent task disinvolvement: Response-irrelevant stimuli activate the default mode network. Cortex, 81, 221–230. https://doi.org/10.1016/j.cortex.2016.05.006

Antonio Ghezzi, Raffaello Balocco, & Andrea Rangone. (2016). The Open Innovation – Strategy nexus: findings from the Mobile Telecommunications Industry. Management Research Review, 39(5), 569–598. https://doi.org/10.1108/MRR-02-2014-0040

Bentler, P. M. (1992). On the fit of models to covariances and methodology to the Bulletin. Psychological Bulletin, 112(3), 400.

Clarke, R. J. (2017). Chapter 7 - Microorganisms and Their Response to Stimuli A2 - Becker, Sid M. In Modeling of Microscale Transport in Biological Processes (pp. 171–206). Academic Press. https://doi.org/10.1016/B978-0-12-804595-4.00007-9

Clem Tisdell. (2017). Information technology’s impacts on productivity and welfare: a review. International Journal of Social Economics, 44(3), 400–413. https://doi.org/10.1108/IJSE-06-2015-0151

Cui, X., Lai, V. S., & Lowry, P. B. (2016). How do bidders’ organism reactions mediate auction stimuli and bidder loyalty in online auctions? The case of Taobao in China. Information & Management, 53(5), 609–624. https://doi.org/10.1016/j.im.2016.01.005

Davvetas, V., & Diamantopoulos, A. (n.d.). “Regretting your brand-self?” The moderating role of consumer-brand identification on consumer responses to purchase regret. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2017.04.008

Gallé, A., Lautner, S., Flexas, J., & Fromm, J. (2015). Environmental stimuli and physiological responses: The current view on electrical signalling. Plant Signalling Mechanisms in Response to the Environment, 114, 15–21. https://doi.org/10.1016/j.envexpbot.2014.06.013

Giachetti, C., & Marchi, G. (2017). Successive changes in leadership in the worldwide mobile phone industry: The role of windows of opportunity and firms’ competitive action. Research Policy, 46(2), 352–364. https://doi.org/10.1016/j.respol.2016.09.003

Gordon, C., Al Zidjaly, N., & Tovares, A. V. (2017). Mobile phones as cultural tools for identity construction among college students in Oman, Ukraine, and the U.S. Discourse, Context & Media, 17, 9–19. https://doi.org/10.1016/j.dcm.2017.01.006

Helm, R., & Gritsch, S. (2014). Examining the influence of uncertainty on marketing mix strategy elements in emerging business to business export-markets. International Business Review, 23(2), 418–428. https://doi.org/10.1016/j.ibusrev.2013.06.007

Hoek, A. C., Pearson, D., James, S. W., Lawrence, M. A., & Friel, S. (2017). Healthy and environmentally sustainable food choices: Consumer responses to point-of-purchase actions. Food Quality and Preference, 58, 94–106. https://doi.org/10.1016/j.foodqual.2016.12.008

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Jani, D., & Han, H. (2015). Influence of environmental stimuli on hotel customer emotional loyalty response: Testing the moderating effect of the big five personality factors. International Journal of Hospitality Management, 44, 48–57. https://doi.org/10.1016/j.ijhm.2014.10.006

Joshi, Y., & Rahman, Z. (2017). Investigating the determinants of consumers’ sustainable purchase behaviour. Sustainable Production and Consumption, 10, 110–120. https://doi.org/10.1016/j.spc.2017.02.002

Kang, Y., & Zhou, L. (2017). RubE: Rule-based methods for extracting product features from online consumer reviews. Information & Management, 54(2), 166–176. https://doi.org/10.1016/j.im.2016.05.007

Kautsar, A. P., Widianto, S., Abdulah, R., & Amalia, H. (2012). Relationship of Consumer Involvement, Credibility of the Source of Information and Consumer Satisfaction on Purchase Decision of Non-Prescription Drugs. International Congress on Interdisciplinary Business and Social Sciences 2012 (ICIBSoS 2012), 65, 449–454. https://doi.org/10.1016/j.sbspro.2012.11.147

Kekolahti, P., Kilkki, K., Hämmäinen, H., & Riikonen, A. (2016). Features as predictors of phone popularity: An analysis of trends and structural breaks. Telematics and Informatics, 33(4), 973–989. https://doi.org/10.1016/j.tele.2016.03.001

Key, T. M., & Czaplewski, A. J. (2017). Upstream social marketing strategy: An integrated marketing communications approach. Business Horizons, 60(3), 325–333. https://doi.org/10.1016/j.bushor.2017.01.006

Kim, J., Lee, J., & Ahn, J. (2016). Reference-dependent preferences on smart phones in South Korea: Focusing on attributes with heterogeneous preference direction. Computers in Human Behavior, 64, 393–400. https://doi.org/10.1016/j.chb.2016.07.008

Kronrod, A., & Lowrey, T. M. (2016). Tastlé-Nestlé, Toogle-Google: The effects of similarity to familiar brand names in brand name innovation. Journal of Business Research, 69(3), 1182–1189. https://doi.org/10.1016/j.jbusres.2015.09.015

Kwon, S., Ha, S., & Kowal, C. (2017). How online self-customization creates identification: Antecedents and consequences of consumer-customized product identification and the role of product involvement. Computers in Human Behavior, 75, 1–13. https://doi.org/10.1016/j.chb.2017.04.051

Li, S.-C. S. (2014). Adoption of three new types of computers in Taiwan: Tablet PCs, netbooks, and smart phones. Computers in Human Behavior, 35, 243–251. https://doi.org/10.1016/j.chb.2014.03.001

Liu, J., Cheng, Z., & Ma, Y. (2016). Product design-optimization integration via associative optimization feature modeling. Advanced Engineering Informatics, 30(4), 713–727. https://doi.org/10.1016/j.aei.2016.09.004

Machado, A., Maran, V., Augustin, I., Wives, L. K., & de Oliveira, J. P. M. (2017). Reactive, proactive, and extensible situation-awareness in ambient assisted living. Expert Systems with Applications, 76, 21–35. https://doi.org/10.1016/j.eswa.2017.01.033

Marsh, H. W., Balla, J. R., & McDonald, R. P. (1988). Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological Bulletin, 103(3), 391.

Martin, S. L., Javalgi, R. G., & Cavusgil, E. (2017). Marketing capabilities, positional advantage, and performance of born global firms: Contingent effect of ambidextrous innovation. International Business Review, 26(3), 527–543. https://doi.org/10.1016/j.ibusrev.2016.11.006

Melero, I., & Montaner, T. (2016). Cause-related marketing: An experimental study about how the product type and the perceived fit may influence the consumer response. European Journal of Management and Business Economics, 25(3), 161–167. https://doi.org/10.1016/j.redeen.2016.07.001

Mugge, R., Jockin, B., & Bocken, N. (2017). How to sell refurbished smartphones? An investigation of different customer groups and appropriate incentives. Journal of Cleaner Production, 147, 284–296. https://doi.org/10.1016/j.jclepro.2017.01.111

Numan, M. (2015). Chapter 6 - Monogamy and the Formation of Enduring Social Attachments between Mating Partners. In Neurobiology of Social Behavior (pp. 235–269). San Diego: Academic Press. https://doi.org/10.1016/B978-0-12-416040-8.00006-7

Park, H., & Moon, H.-C. (2013). Design evaluation of information appliances using augmented reality-based tangible interaction. Computers in Industry, 64(7), 854–868. https://doi.org/10.1016/j.compind.2013.05.006

Piccolo, J. J. (2017). Intrinsic values in nature: Objective good or simply half of an unhelpful dichotomy? Journal for Nature Conservation, 37, 8–11. https://doi.org/10.1016/j.jnc.2017.02.007

Ping, R. A. (2004). On assuring valid measures for theoretical models using survey data. Journal of Business Research, 57(2), 125–141. https://doi.org/10.1016/S0148-2963(01)00297-1

Quesada-González, D., & Merkoçi, A. (2017). Mobile phone-based biosensing: An emerging “diagnostic and communication” technology. Biosensors and Bioelectronics, 92, 549–562. https://doi.org/10.1016/j.bios.2016.10.062

Rahim, A., Safin, S. Z., Kheng, L. K., Abas, N., & Ali, S. M. (2016). Factors Influencing Purchasing Intention of Smartphone among University Students. The Fifth International Conference on Marketing and Retailing (5th INCOMaR) 2015, 37, 245–253. https://doi.org/10.1016/S2212-5671(16)30121-6

Ribeiro, C., Correia, V., Martins, P., Gama, F. M., & Lanceros-Mendez, S. (2016). Proving the suitability of magnetoelectric stimuli for tissue engineering applications. Colloids and Surfaces B: Biointerfaces, 140, 430–436. https://doi.org/10.1016/j.colsurfb.2015.12.055

Rio, A.B., Vazquez, R. and Iglesias, V. (2001), “The role of the brand name in obtaining differential advantages”, Journal of Product and Brand Management, Vol. 10 No. 7, pp. 452-465.

Rubio, N., Villaseñor, N., & Yagüe, M. J. (2017). Creation of consumer loyalty and trust in the retailer through store brands: The moderating effect of choice of store brand name. Journal of Retailing and Consumer Services, 34, 358–368. https://doi.org/10.1016/j.jretconser.2016.07.014

Ruiz Díaz, G. (2017). The influence of satisfaction on customer retention in mobile phone market. Journal of Retailing and Consumer Services, 36, 75–85. https://doi.org/10.1016/j.jretconser.2017.01.003

Salman, D., Tawfik, Y., Samy, M., & Artal-Tur, A. (2017). A new marketing mix model to rescue the hospitality industry: Evidence from Egypt after the Arab Spring. Future Business Journal, 3(1), 47–69. https://doi.org/10.1016/j.fbj.2017.01.004

Sammy, C. H. L., Robinson, P., & Oriade, A. (n.d.) (2018). Destination marketing: The use of technology since the millennium. Journal of Destination Marketing & Management. https://doi.org/10.1016/j.jdmm.2017.04.008

Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7(4), 422–445. https://doi.org/10.1037//1082-989X.7.4.422

Sila, I., & Ebrahimpour, M. (2005). Critical linkages among TQM factors and business results. International Journal of Operations & Production Management, 25(11), 1123–1155. https://doi.org/10.1108/01443570510626925

Simplice Asongu. (2015). The impact of mobile phone penetration on African inequality. International Journal of Social Economics, 42(8), 706–716. https://doi.org/10.1108/IJSE-11-2012-0228

Srihadi, T. F., & Setiawan, D. (2015). The Influence of Different Level of Service Characteristics and Personal Involvement towards Consumer Relational Response Behaviors. Proceedings of the 4th International Conference on Leadership, Technology, Innovation and Business Management (ICLTIBM-2014), 210, 378–387. https://doi.org/10.1016/j.sbspro.2015.11.385

Sun, N., Rau, P.-L. P., Li, Y., Owen, T., & Thimbleby, H. (2016). Design and evaluation of a mobile phone-based health intervention for patients with hypertensive condition. Computers in Human Behavior, 63, 98–105. https://doi.org/10.1016/j.chb.2016.05.001

Takizawa, O., Urushihara, H., Tanaka, S., & Kawakami, K. (2015). Price difference as a predictor of the selection between brand name and generic statins in Japan. Health Policy, 119(5), 612–619. https://doi.org/10.1016/j.healthpol.2015.01.010

Traylor, M. B., & Joseph, W. B. (1984). Measuring consumer involvement in products: developing a general scale. Psychology & Marketing, 1(2), 65-77.

Ul Islam, J., & Rahman, Z. (2017). The impact of online brand community characteristics on customer involvement: An application of Stimulus-Organism-Response paradigm. Telematics and Informatics, 34(4), 96–109. https://doi.org/10.1016/j.tele.2017.01.004

Urban, M. W. (2014). Stimuli-responsive colloids: From stratified to self-repairing Polymeric Films and Beyond. Current Opinion in Colloid & Interface Science, 19(2), 66–75. https://doi.org/10.1016/j.cocis.2014.04.002

Venkatraman, N. (1989). Strategic orientation of business enterprises: The construct, dimensionality, and measurement. Management Science, 35(8), 942–962.

Vidal-Diez de Ulzurrun, G., Baetens, J. M., Van den Bulcke, J., & De Baets, B. (2017). Modelling three-dimensional fungal growth in response to environmental stimuli. Journal of Theoretical Biology, 414, 35–49. https://doi.org/10.1016/j.jtbi.2016.11.020

Vieira, V. A. (2013). Stimuli–organism-response framework: A meta-analytic review in the store environment. Advancing Research Methods in Marketing, 66(9), 1420–1426. https://doi.org/10.1016/j.jbusres.2012.05.009

Wang, D., Jin, Y., Zhu, X., & Yan, D. (2017). Synthesis and applications of stimuli-responsive hyperbranched polymers. Progress in Polymer Science, 64, 114–153. https://doi.org/10.1016/j.progpolymsci.2016.09.005

Wang, W. (2017). Smartphones as Social Actors? Social dispositional factors in assessing anthropomorphism. Computers in Human Behavior, 68, 334–344. https://doi.org/10.1016/j.chb.2016.11.022

Welfens, M. J., Nordmann, J., & Seibt, A. (2016). Drivers and barriers to return and recycling of mobile phones. Case studies of communication and collection campaigns. Absolute Reductions in Material Throughput, Energy Use and Emissions, 132, 108–121. https://doi.org/10.1016/j.jclepro.2015.11.082

Young, G. (2016). Stimulus–Organism–Response Model: SORing to New Heights. In G. Young (Ed.), Unifying Causality and Psychology: Being, Brain, and Behavior (pp. 699–717). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-24094-7_28

Published

30-01-2022

How to Cite

Mediating Role of Consumer Involvement in the Relationship between Marketing Stimuli and Consumer Purchase Behavior. (2022). Journal of Marketing Strategies, 4(1), 202-220. https://doi.org/10.52633/jms.v4i1.185

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