Document Type : Original Article
Authors
1 phD Candidate in Commerce, Department of Business Management, Central Tehran Branch, Azad Islamic University, Tehran, Iran
2 Associate Professor, Department of Business Management, Central Tehran Branch, Azad Islamic University, Tehran, Iran
3 Assistant Professor, Department of Business Management, Central Tehran Branch, Azad Islamic University, Tehran, Iran
Abstract
Purpose: The aim of the present research is to identify the factors influencing the acceptance of mobile marketing activities by customers using a meta-synthesis approach.
Method: The research was conducted with an exploratory and qualitative approach. Using a systematic and meta-synthesis review approach, the researcher analyzed the results and findings of previous researchers and identified the influencing factors on the adoption of mobile marketing by performing the 7 steps of the Sandelowski and Barroso method. In this context, in order to measure reliability and quality control, the Kappa method was used, and its value was identified for the identified indicators at the level of excellent agreement.
Findings: The results of the implementation of meta-synthesis steps in Maxqda10 software showed that the factors influencing the acceptance of mobile marketing activities by customers based on the meta-synthesis approach include two general dimensions individual and environmental ones, and these two dimensions include 6 components in total. and there are 33 indicators. Based on these results, the individual dimension includes the components of perceptual factors, personal habits and characteristics, emotional and belief factors, and cognitive factors, and the environmental dimension includes the components of technical factors and social factors. The research results show that marketing is a dynamic field that changes over time. Understanding the effective components at any point in time can increase marketing effectiveness. Mobile marketing combined with traditional and virtual methods has become the most powerful tool even for traditional sellers.
conclusion: It can be concluded that proper implementation and digital marketing can help sellers in increasing customer reach and brand awareness
Keywords
Akhtarala, R. (2014). Investigating factors affecting the acceptance of mobile marketing by Gilan University students. Master's thesis in business management. University of Tehran. University campus. [In Persian]
Aminian, M., Bagheri, M., Ruhol Amini, M. (2021). Explaining the model of structural relationships between social network marketing and customer behavior in order to promote the brand in the dairy industry (case study: Kale company in social networks). Modern Marketing Research, 41: 199-224. [In Persian]
Ashari Nasution, R., Arnita, D., & Fatimah-Azzahra, D. (2021). Digital Readiness and Acceptance of Mobile Advertising. Australasian Marketing Journal, 29(1), 95-102.
Bailly, A. and Comino, L., )2017(. Using Pragmatist Philosophy in Consumer Research: Influences and Prospects. In Marketing at the Confluence between Entertainment and Analytics, Cham: Springer. 729-734,
Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial Intelligence in FinTech: understanding robo-advisor's adoption among customers. Industrial Management & Data Systems, Vol. 119 No. 7, pp. 1411-1430.
Bernritter, S. Okazaki, S. West, D. (2022). Mobile Technology and Advertising: Moving the Research Agenda Forward. Journal of Advertising, 4: 1-19.
Bhatia, V. (2020). Drivers and barriers of permission-based marketing. Journal of Research in Interactive Marketing, 14(1), 51–70
Bidmon, S., & Röttl, J. (2018). Advertising Effects of In-Game-Advertising vs. In-App-Advertising. In Advances in Advertising Research, Fachmedien Wiesbaden: Springer
Borah, A. and Tellis, G.J.,( 2016(. Halo (Spillover) Effects in Social Media: Do Product Recalls of One Brand Hurt or Help Rival Brands? Journal of Marketing Research, 53(2), pp.143-160.
Cheung, M. F., & To, W. M. (2017). The influence of the propensity to trust on mobile users' attitudes toward in-app advertisements: An extension of the theory of planned behavior. Computers in Human Behavior, 76, 102-111.
Ciechanowski, L., Przegalinska, A., Magnuski, M., & Gloor, P. (2019). In the shades of the Uncanny Valley: An experimental study of human--Chatbot interaction. Future Generation Computer Systems, 92, 539–548.
Cooley, D. & Parks-Yancy, R. (2019). The effect of social media on perceived information credibility and decision making. Journal of Internet Commerce, 18(3), 1-21
Czarny, B. (2018). How Brands Are Getting More Sophisticated at Using Location Data. Retrieved August 01.
Dedeoglu, B. B., Van Niekerk, M., Weinland, J. & Celuch, K. (2019). Reconceptualizing customer-based destination brand equity. Journal of Destination Marketing & Management, 11, 211-230
Ebrahimi, A., Jafarzadeh, M., Greatness, P. (2011). Investigating factors affecting consumers' attitude and intention to buy clothing products. Modern Marketing Research, Volume 2, Number 3, pp. 1-34. [in Persian]
Eriksson, Niklas & Rosenbröijer, Carl-Johan & Fagerstrøm, Asle. (2017). The relationship between young consumers’ decision-making styles and propensity to shop clothing online with a smartphone. Procedia Computer Science. 121. 519–524.
Gao, T., Rohm, A.J., Sultan, F. & Pagani, M. (2010). Consumers un-tethered: A threemarket empirical study of consumers' mobile marketing acceptance. Journal of Business Research, Vol. 66, pp. 2536-2544.
Graham, C., Young, F., & Marjan, A. (2021). The generation Z audience for in-app advertising. Journal of Indian Business Research, 13(3), 340-363
Haghi Nasab, m. and Hakimifar, N. (2017). Using mobile phones as a marketing method: problems and solutions, the first international conference on management patterns in the era of progress, Tehran.
Handley, A., & Pulizzi, J. (2017). B2C content marketing-2018 benchmarks, budgets, and trends—North America.
Hong, K. T., Ng, S. I., Yusof, R. N. R., & Kaliappan, S. R. (2021). What Do Consumers Like to See in a Cause-Related Marketing Campaign Board? International Journal of Business and Society, 22(1), 346-364
Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172.
Iqbal, Q., Yang, S., Nawaz, R. Iqbal, K., (2019). A multi-dimensional construct of perceived information pollution in the era of rife infollution. VINE Journal of Information and Knowledge Management Systems, 49(2), 162-180
Ketelaar, P. E., Bernritter, S. F., van Woudenberg, T. J., Rozendaal, E., Konig, R. P., Hühn, A. E., van Gisbergen, M. S., & Janssen, L. (2018). Opening location-based mobile ads: How openness and location congruency of location-based ads weaken negative effects of intrusiveness on brand choice. Journal of Business Research, 91, 277–285
Kim, Y. H., Kim, D. J. and Wachter, K., )2013(. A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention. Decision Support Systems, 56, pp.361-370
Krouwer, S., Poels, K., & Paulussen, S. (2019). Exploring readers’ evaluations of native advertisements in a mobile news app. Journal of Media Business Studies, 16(2), 77–94.
Kurtz, O. T., Wirtz, B. W., & Langer, P. F. (2021). An Empirical Analysis of Location-Based Mobile Advertising—Determinants, Success Factors, and Moderating Effects. Journal of Interactive Marketing, 54, 69–85.
Le, C. X., & Wang, H. (2020). Integrative perceived values influencing consumers’ attitude and behavioral responses toward mobile location-based advertising: an empirical study in Vietnam. Asia Pacific Journal of Marketing and Logistics, 33(1), 275–295.
Lee, S., Kim, K. J., & Sundar, S. S. (2015). Customization in location-based advertising: Effects of tailoring source, locational congruity, and product involvement on ad attitudes. Computers in Human Behavior, 51, , 336–343.
Limpf, N., & Voorveld, H. A. M. (2015). Mobile Location-Based Advertising: How Information Privacy Concerns Influence Consumers’ Attitude and Acceptance. Journal of Interactive Advertising, 15(2), 111–123
Lin, T. T. C., & Bautista, J. R. (2020). Content-related factors influence perceived value of location-based mobile advertising. Journal of Computer Information Systems, 60(2), 184–193
Liu, F., Kanso, A., Zhang, Y., & Olaru, D. (2019). Culture, Perceived Value, and Advertising Acceptance: A Cross-Cultural Study on Mobile Advertising. Journal of Promotion Management, 25(7), 1028–1058
Logan, K. (2017). Attitudes towards in-app advertising: a uses and gratifications perspective. International Journal of Mobile Communications, 15(1), 26.
Lu, C.-C., Wu, I.-L., & Hsiao, W.-H. (2019). Developing customer product loyalty through mobile advertising: Affective and cognitive perspectives. International Journal of Information Management, 47, 101–111.
MacRae, H. M., Regehr, G., Brenneman, F., McKenzie, M., & McLeod, R. S. (2004). Assessment of critical appraisal skills. The American journal of surgery, 187(1), 120-123.
Maduku, D. K. (2020). Privacy concerns, internal political efficacy, intrusiveness, and voter resistance to the acceptance of political mobile marketing campaigns. International Journal of Nonprofit and Voluntary Sector Marketing, 25(1),1-13
Maduku, D. K., Mpinganjira, M., & Duh, H. (2016). Understanding mobile marketing adoption intention by South African SMEs: A multi-perspective framework. International Journal of Information Management, 36(5), 711-723.
Mansouri Movid, F., Samiari, M., Samiari, M. (2017). Identifying and prioritizing purchase decision-making styles among different age groups of consumers, Human Resource Management Research, 8(3), 109-126. [in Persian]
Martins, J., Costa, C., Oliveira, T., Gonçalves, R., & Branco, F. (2019). How smartphone advertising influences consumers’ purchase intention. Journal of Business Research, 94, 378–387.
Menon, B. (2019). Personal trust, institution trust and consumerism attitudes towards mobile marketing and banking services in India. Academy of Marketing Studies Journal, 23(3), 1-13.
Mohammadi, D. (2019). Analysis of factors influencing mobile adoption of electronic services in the insurance industry using the fuzzy network analysis process. Modern Marketing Research, 34: 159-187.
Muhammad, I., & Ghulam, M. (2019). An exploration of factors influencing purchase decision making of apparel consumers. Amazonia Investiga, 23, 457-468.
Munawar, S. Qureshi, M. Fahim, M. (2022). Take it on the Chin! Advertising Acceptance on Mobile Platforms - A Review of Literature. Market Forces, 17: 1-42.
Münzel, K., Piscicelli, L., Boon, W., & Frenken, K. (2018). Different business models–different users? Uncovering the motives and characteristics of business-to-consumer and peer-to-peer carsharing adopters in The Netherlands. Transportation Research Part D: Transport and Environment, 73, 276-306.
Pan, Y., Torres, I. M. & Zúñiga, M. A. (2019). Social media communications and marketing strategy: A taxonomical review of potential explanatory approaches. Journal of Internet Commerce, 18(1),73-90
Park, H., Kim, S., & Lee, J. (2020). Native advertising in mobile applications: Thinking styles and congruency as moderators. Journal of Marketing Communications, 26(6), 575–595
Prabowo, H., Bramulya, R. & Yuniarty, Y. (2020). Student purchase intention in higher education sector: The role of social network marketing and student engagement. Management Science Letters, 10(1), 103-110.
Prakash, G. & Singh, P.k. & Yadav, R. (2018). Application of consumer style inventory (CSI) to predict young Indian consumer’s intention to purchase organic food products. Food Quality and Preference, 68, 90-97.
Qashqaei, S., Bakhshandeh, Q., Chaharsoghi, R., Hosseini, Z. (2019). Examining the demographic differences of consumers with different decision-making styles in the buying behavior of Sunich juices, Business Management Quarterly, No. 45. [in Persian]
Shahriar, A & Makkizadeh, V (2012) "Consumer Decision-Making Style: The Case of IranianYoung Consumers" Journal of Management Research, Vol. 4, No. 2, p. 89-111.
Sharma, (2022).Aanchal, Current Trends in Digital Marketing, Available at SSRN.
Sharma, S., Singh, G. & Aiyub, A. S. (2020). Use of social networking sites by SMEs to engage with their customers: A developing country perspective. Journal of Internet Commerce, 19(1), 62-81
Sharmin, F., Sultan, M. T., Badulescu, D., Badulescu, A., Borma, A., & Li, B. (2021). Sustainable destination marketing ecosystem through smartphone-based social media: The consumers’acceptanceperspective. Sustainability, 13(4), 123-144.
Shin, W., Lwin, M. O., Yee, A. Z. H., & Kee, K. M. (2020). The role of socialization agents in adolescents’ responses to app-based mobile advertising. International Journal of Advertising, 39(3), 365–386
Sigurdsson, V., Menon, R. G. V., Hallgrímsson, A. G., Larsen, N. M., & Fagerstrøm, A. (2018). Factors Affecting Attitudes and Behavioral Intentions toward In-app Mobile Advertisements. Journal of Promotion Management, 24(5), 694–714
Sproles, G. B. & Kendall, E. L. (1986). A methodology for profiling consumers’ decision-making styles. Journal of Consumer Affairs, 20(2), 267-279.
Tabakhian, L. (2015). Segmentation of consumers of the clothing market based on the purchase decision style and determining the difference in the attitude of each segment towards the marketing mix factors (case study: consumers of foreign brand clothing stores in Mashhad). Master's thesis in the field of management. Mashhad Ferdowsi University. [in Persian]
Tong, S., Luo, X., & Xu, B. (2020). Personalized mobile marketing strategies. Journal of the Academy of Marketing Science, 48(1), 64-78.
Ünal, S., Ercis, A. & Keser, E. (2011). Attitudes towards mobile advertising: A research to determine the differences between the attitudes of youth and adults, Procedia Social and Behavioral Sciences, (24): 361–377.
Wang, F., Zuo, L., Yang, Z., & Wu, Y. (2019). Mobile searching versus online searching: Differential effects of paid search keywords on direct and indirect sales. Journal of the Academy of Marketing Science, 47(6), 1151–1165.
Wang, H., & Lee, K. (2020). Getting in the flow together: The role of social presence, perceived enjoyment and concentration on sustainable use intention of mobile social network game. Sustainability, 12(17), 1-15
Weng, S. S., Yang, M. H. & Hsiao, P. I. (2018). A factor-identifying study of the user-perceived value of collective intelligence based on online social networks. Internet Research, 28(3), 696-715.
Yazdanifard, R. Elkhabir, M. (2011). Mobile Commerce and Related Mobile Security Issues. Proceedings of International Conference on Software and Computer Applications
Yousif, R. O. (2012). Factors affecting consumer attitudes towards mobile marketing. Journal of Database Marketing and Customer Strategy Management, 19(3), 147–162.
Zhang, R. J., & Li, X. Y. (2012). Research on consumers' attitudes and acceptance intentions toward mobile marketing. In 2012 International Conference on Management Science & Engineering 19th Annual Conference Proceedings (pp. 727-732). IEEE.
Zolloa, L., Filieri, R., Rialti, R. & Yoon, S. (2020). Unpacking the relationship between social media marketing and brand equity: The mediating role of consumers’ benefits and experience. Journal of Business Research, 117, 256-267
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