Examining Factors Affecting the Acceptance and Adoption of Mobile Commerce through the Consumers’ Lens in Pakistan
DOI:
https://doi.org/10.56976/rjsi.v1i1.15Keywords:
Trust, Brand Equity, Social Influence, Intentions, M CommerceAbstract
The study at hand is aimed at finding the factors that affect the intention of customers to adopt m-commerce for their routine behavior. We measured how trust, brand equity, and social influence affect the “intention to adopt m-commerce”. The data was collected from consumers which were part of the University of Punjab and have mobile for use in social and commercial activities. The results reveal that we can use m-commerce for different activities and trust and brand equity affect on it. Social influence mediates the relationship between trust, brand equity, and dependent variables. Future directions are given.
References
Aaker, D. A. (1996). Measuring brand equity across products and markets. California Management Review, 38(3),102-120.
Aaker, D. A., & Joachimsthaler, E. (2000). The brand relationship spectrum: The key to the brand architecture challenge. California management review, 42(4), 8-23.
Brackett, L. k., &Carr, B. N. (2001). Cyberspace advertising vs. other media:Consumer vs. mature student attitudes. Journal of Advertising Research, 41(5), 23-32.
Bridges, S., keller, K. L., & Sood, S. (2000). Communication strategies for brand extensions: enhancing perceived fit by establishing explanatory links. Journal of Advertising, 29(4), 1-11.
Buil, I., De Chernatony, L., & Martínez, E. (2013). Examining the role of advertising and sales promotions in brand equity creation. Journal of business research, 66(1), 115-122.
Chaudhuri. (1995). Brand equity or double jeopardy? Journal of Product & Brand Management.
Chaudhuri, A. (2010). Brand equity or double jeopardy?, 4(1), 26-32. Journal of Product & Brand Management, 4(1), 26-32.
Dimitriades, Z. S. (2006). Customer satisfaction, loyalty and commitment in service organizations: Some evidence from Greece. Management Research News, 29(12), 782-800.
Emari, H., &jafari, A. (2012). The mediatory impact of brand loyalty and brand image on brand equity. African Journal of Bussiness Management, 6(17), 5692-5701.
Hogan, Lemon, & Rust. (2002). Customer equity management charting new directions for the future of marketing. Journal of Service Research.
Kelman, H. C. (1961). Three processes of social influence. Public Opinion Quarterly, 25(1), 57-78.
Chung, H. S., Koo, A. J., Gao, X., Jayanty, S., Thines, B., Jones, A. D., & Howe, G. A. (2008). Regulation and function of Arabidopsis JASMONATE ZIM-domain genes in response to wounding and herbivory. Plant physiology, 146(3), 952-964.
Malone, T. W., Laubacher, R., &Dellarocas, C. (2010). The collective intelligence genome. MIT Sloan Management Review, 51(3), 21.
Cui, W. Y., Liu, Y., Zhu, Y. Q., Song, T., & Wang, Q. S. (2014). Propofol induces endoplasmic reticulum (ER) stress and apoptosis in lung cancer cell H460. Tumor Biology, 35(6), 5213-5217.
Bagozzi, R. P., & Dholakia, U. M. (2002). Intentional social action in virtual communities. Journal of interactive marketing, 16(2), 2-21.
Bagozzi, R. P., & Lee, K. H. (2002). Multiple routes for social influence: The role of compliance, internalization, and social identity. Social Psychology Quarterly, 226-247.
Algesheimer, R., Dholakia, U. M., & Herrmann, A. (2005). The social influence of brand community: Evidence from European car clubs. Journal of marketing, 69(3), 19-34.
Bagozzi, R. P., & Dholakia, U. M. (2006). Antecedents and purchase consequences of customer participation in small group brand communities. International Journal of research in Marketing, 23(1), 45-61.
Dholakia, U. M., Bagozzi, R. P., & Pearo, L. K. (2004). A social influence model of consumer participation in network-and small-group-based virtual communities. International journal of research in marketing, 21(3), 241-263.
Gabbiadini, A., Mari, S., & Volpato, C. (2013). Virtual users support forum: do community members really want to help you?. Cyberpsychology, Behavior, and Social Networking, 16(4), 285-292.
Tsai, H. T., &Bagozzi, R. P. (2014). Contribution behavior in virtual communities: Cognitive, emotional, and social influences. Mis Quarterly, 38(1), 143-164.
Cheung, C. M., Chiu, P. Y., & Lee, M. K. (2011). Online social networks: Why do students use facebook?. Computers in Human behavior, 27(4), 1337-1343.
De Oliveira, M. J., &Huertas, M. K. Z. (2015). Does life satisfaction influence the intention (We-Intention) to use Facebook?. Computers in Human Behavior, 50, 205-210.
Matturdi, B., Zhou, X., Li, S., & Lin, F. (2014). Big Data security and privacy: A review. China Communications, 11(14), 135-145.
Gui, B., Shen, C., Wang, Y., Ye, P., Liu, J., Wang, S., & Zhao, X. (2011). Quantitative analysis of CME deflections in the corona. Solar Physics, 271(1-2), 111-139.
Cuppels, D., &Kelman, A. (1974). Evaluation of selective media for isolation of soft-rot bacteria from soil and plant tissue. Phytopathology, 64(4), 468-475.
Horng, J. S., Liu, C. H., Chou, H. Y., & Tsai, C. Y. (2012). Understanding the impact of culinary brand equity and destination familiarity on travel intentions. Tourism Management, 33(4), 815-824.
Barreda, A. A., Bilgihan, A., Nusair, K., &Okumus, F. (2015). Generating brand awareness in online social networks. Computers in Human Behavior, 50, 600-609.
Macdonald, E. K., & Sharp, B. M. (2000). Brand awareness effects on consumer decision making for a common, repeat purchase product: A replication. Journal of Business Research, 48(1), 5-15.
Cornelissen, J. J., & Blaise, D. (2016). Hematopoietic stem cell transplantation for patients with AML in first complete remission. Blood, The Journal of the American Society of Hematology, 127(1), 62-70.
Tseng, M. Y., Liu, S. Y., Chen, H. R., Wu, Y. J., Chiu, C. C., Chan, P. T., ... & Chen, J. Y. F. (2009). Serine protease inhibitor (SERPIN) B1 promotes oral cancer cell motility and is over-expressed in invasive oral squamous cell carcinoma. Oral Oncology, 45(9), 771-776.
Sivunen, A., &Valo, M. (2006). Team leaders' technology choice in virtual teams. IEEE transactions on professional communication, 49(1), 57-68.
Dolan, R., & Davis, R. E. (1992). An intensity scale for Atlantic coast northeast storms. Journal of Coastal Research, 840-853.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.
Joubert, J., & Van Belle, J. (2013). The role of trust and risk in mobile commerce adoption within South Africa. International Journal of Business, Humanities and Technology, 3(2), 27-38.
Nilashi, M., Ibrahim, O., Mirabi, V. R., Ebrahimi, L., &Zare, M. (2015). The role of Security, Design and Content factors on customer trust in mobile commerce. Journal of Retailing and Consumer Services, 26, 57-69.
Cyr, D., Head, M., & Ivanov, A. (2006). Design aesthetics leading to m-loyalty in mobile commerce. Information & Management, 43(8), 950-963.
Alkhunaizan, A., & Love, S. (2012). What drives mobile commerce? An empirical evaluation of the revised UTAUT model. International Journal of Management and Marketing Academy, 2(1), 82-99.
Joubert, J., & Van Belle, J. (2013). The role of trust and risk in mobile commerce adoption within South Africa. International Journal of Business, Humanities and Technology, 3(2), 27-38.
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134.
Schmidt-Belz, B., Laamanen, H., Poslad, S., & Zipf, A. (2003, January). Location-based mobile tourist services: first user experiences. In ENTER (Vol. 2003, p. 10th
Ji, L., Zhang, T., Milliken, K. L., Qu, J., & Zhang, X. (2012). Experimental investigation of main controls to methane adsorption in clay-rich rocks. Applied Geochemistry, 27(12), 2533-2545.
Rousseau, D. M., Sitkin, S. B., Burt, R. S., &Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of management review, 23(3), 393-404.
Yang, J., & Zhang, Y. (2015). Protein structure and function prediction using I‐TASSER. Current Protocols in Bioinformatics, 52(1), 5-8.
Leong, K. E. (2013). Factors that influence the understanding of good mathematics teaching. Leong, KE (2013). Factors that Influence the Understanding of Good Mathematics Teaching. EURASIA Journal of Mathematics Science & Technology Education, 9(3), 309-318.
Venkatesh, A., Jaramillo, P., Griffin, W. M., & Matthews, H. S. (2012). Implications of changing natural gas prices in the United States electricity sector for SO2, NOX and life cycle GHG emissions. Environmental Research Letters, 7(3), 034018.
Mallat, N. (2006). Consumer and merchant adoption of mobile payments. Helsinki School of Economics.
Ning Shen, K., &Khalifa, M. (2008). Exploring multidimensional conceptualization of social presence in the context of online communities. Intl. Journal of Human–Computer Interaction, 24(7), 722-748.
Ommelna, B. G., Jennifer, A. N., & Chong, K. P. (2012). The potential of chitosan in suppressing Ganodermaboninense infection in oil-palm seedlings. J Sustain Sci Manage, 7(2), 186-192.
Anderson, M., Gorley, R. N., & Clarke, R. K. (2008). Permanova+ for primer: Guide to Software and Statisticl Methods. Primer-E Limited.
Chong, C. R., &J änne, P. A. (2013). The quest to overcome resistance to EGFR-targeted therapies in cancer. Nature Medicine, 19(11), 1389-1400.
Tiwari, R., Buse, S., & Herstatt, C. (2007). Mobile services in banking sector: the role of innovative business solutions in generating competitive advantage. Technology and Innovation Managment Working Paper, (48).
Amoroso, D. L., & Magnier-Watanabe, R. (2012). Building a research model for mobile wallet consumer adoption: the case of mobile Suica in Japan. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 94-110.
Al-Debei, M. M., & Al-Lozi, E. (2014). Explaining and predicting the adoption intention of mobile data services: A value-based approach. Computers in Human Behavior, 35, 326-338.
Fulk, J., Schmitz, J., & Steinfield, C. W. (1990). A social influence model of technology use. Organizations and Communication Technology, 117, 140.
Schmitz, J., &Fulk, J. (1991). Organizational colleagues, media richness, and electronic mail: A test of the social influence model of technology use. Communication research, 18(4), 487-523.
Pan, Y., Sun, K., Liu, S., Cao, X., Wu, K., Cheong, W. C., ...& Wang, D. (2018). Core–shell ZIF-8@ ZIF-67-derived CoP nanoparticle-embedded N-doped carbon nanotube hollow polyhedron for efficient overall water splitting. Journal of the American Chemical Society, 140(7), 2610-2618.
Kelman, H. C. (1958). Compliance, identification, and internalization three processes of attitude change. Journal of Conflict Resolution, 2(1), 51-60.
Bicer, M., Yildiz, H. D., Yildiz, I., Coignet, G., Delmastro, M., Alexopoulos, T., ...& Potamianos, K. (2014). First look at the physics case of TLEP. Journal of High Energy Physics, 2014(1), 164.
Varadan, V. K., Chen, L., &Xie, J. (2008). Nanomedicine: design and applications of magnetic nanomaterials, nanosensors and nanosystems. John Wiley & Sons.
Tchekhovskoy, A., Narayan, R., & McKinney, J. C. (2011). Efficient generation of jets from magnetically arrested accretion on a rapidly spinning black hole. Monthly Notices of the Royal Astronomical Society: Letters, 418(1), L79-L83.
Kardaras, D., Karakostas, B., & Papathanassiou, E. (2003). The potential of virtual communities in the insurance industry in the UK and Greece. International Journal of Information Management, 23(1), 41-53.
