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An Integrative Model of Influencing Factors for E-Shopping Using Mobile Apps among Young Iranian User | ||
| International Journal of Digital Content Management | ||
| مقاله 7، دوره 5، شماره 9، مهر 2024، صفحه 139-162 اصل مقاله (942.75 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22054/dcm.2023.71638.1178 | ||
| نویسندگان | ||
| Seyed Mehdi Mirmehdi* 1؛ Faeze Kargar2؛ Behnam Abbasi2 | ||
| 1Assistant Professor, Department of Management, Malayer University, Malayer, Iran | ||
| 2MA Student, Department of Management, Malayer University, Malayer, Iran | ||
| چکیده | ||
| Purpose: The growth of Smartphone applications has led to the development and transformation of business sector. The present work aimed to assess factors influencing the intention to use shopping applications. Method: A structural model was formulated for analyzing and testing the existing factors among shopping application users. The statistical population of the research comprised of the users of shopping applications in a public university in Iran. This study employed a questionnaire survey, which consisted of two sections. The first section included general demographic details of the target respondents, while the second section comprised 30 items to measure the constructs of our conceptual model. All items of constructs were adopted from previous literature. A total of 288 questionnaires provided usable data. Findings: The results revealed that factors such as Convenience, Perceived Ease of Use, Trust, and Perceived usefulness affect the intention to use shopping applications, while factors such as Perceived Innovativeness, Perceived Risk, Perceived Enjoyment, and Social Influence were found to be non-influential. Conclusion: This research was conducted based on a comprehensive review of the research literature and identification of influential constructs with the approach of creating an integrated model of factors affecting the intention to use shopping applications. Based on the research results, focusing on ease of use and creating the experience of perceived usefulness along with the use of tools that lead to the improvement of trust is critical for practitioners. | ||
| کلیدواژهها | ||
| Electronic shopping؛ Intention to use؛ Mobile applications؛ Shopping apps؛ Young Iranian Users | ||
| مراجع | ||
|
Agarwal, R., Prasad, J., (1998). A Conceptual and operational definition of Personal innovativeness in the domain of Information technology. Inf. Syst. Res. 9 (2), 204–215.
Agénor, P. R., & Neanidis, K. C. (2015). Innovation, public capital, and growth. Journal of Macroeconomics, 44, 252-275.
Agrebi, S., & Jallais, J. (2015). Explain the intention to use smartphones for mobile shopping. Journal of retailing and consumer services, 22, 16-23.
Al Amin, M., Arefin, M. S., Hossain, I., Islam, M. R., Sultana, N., & Hossain, M. N. (2022). Evaluating the determinants of customers’ mobile grocery shopping application (MGSA) adoption during COVID-19 pandemic. Journal of Global Marketing, 35(3), 228-247.
AlGahtani, S. S., Hubona, G. S., & Wang, J. (2007). Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Information & management, 44(8), 681-691.
Alnawas, I., & Aburub, F. (2016). The effect of benefits generated from interacting with branded mobile apps on consumer satisfaction and purchase intentions. Journal of Retailing and Consumer Services, 31, 313–322.
Ayeh, J. K., Au, N., & Law, R. (2013). Predicting the intention to use consumer-generated media for travel planning. Tourism management, 35, 132-143.
Bauer, R. A. (1960). Consumer behavior as risk-taking. In R. S. Hancock (Ed.), Dynamic marketing for a changing world (pp. 389---398). Chicago: American Marketing Association. Cited from D. F. Cox (Ed.), Risk-taking and information-handling in consumer behavior. Boston: Harvard University Press, 1967, pp. 23---33.
Boontarig, W., Chutimaskul, W., Chongsuphajaisiddhi, V., & Papasratorn, B. (2012). Factors influencing the Thai elderly intention to use smartphone for e-Health services. In 2012 IEEE symposium on humanities, science and engineering research (pp. 479-483). IEEE.
Bramantyo, B. A., Sudirman, I., & Umar, F. (2022). The Influence of Service Quality and Customer Satisfaction on the Trust and Loyalty. Hasanuddin Journal of Business Strategy, 4(1), 62-72.
Brown, J.J., & Reingen, P.H., (1987). Social ties and world-of-mouse referral behavior.J. Consum. Res. 14 (3), 350–362.
Chaudhuri, A., & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: the role of brand loyalty. Journal of marketing, 65(2), 81-93.
Chauhan, V., Yadav, R. & Choudhary, V. (2019). Analyzing the impact of consumer innovativeness and perceived risk in internet banking adoption: A study of Indian consumers, International Journal of Bank Marketing, Vol. 37 No. 1, pp. 323-339.
Chen, P. T., &Hsieh, H.-P. (2012). Personalized mobile advertising: Its key attributes, trends, and social impact. Technological Forecasting & Social Change, 79, 543-557.
Cheung, C.M.K., Chiu, P.Y., Lee, M.K.O., (2011). Online social networks: why do students use facebook? Comput. Hum. Behav. 27 (4), 1337–1343
Cumming, T. M., & Draper Rodríguez, C. (2017). A meta-analysis of mobile technology supporting individuals with disabilities. The Journal of Special Education, 51(3), 164-176.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral dissertation, Sloan School of Management, Massachusetts Institute of Technology, Amherst, MA.
Davis, F.D. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. J. Appl. Soc. Psychol. 22, 1111–1132.
Fornell, C. & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, Vol. 18, No. 1, pp.39–50.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Inexperience and experience with online Stores: The importance of TAM and Trust. IEE Transactions on Engineering Management, 50(3, agosto), P307-321.
Grewal, D., Gauri, D. K., Roggeveen, A. L., & Sethuraman, R. (2021). Strategizing retailing in the new technology era. Journal of Retailing, 97(1), 6-12.
Guo, X., Ling, K. C., & Liu, M. (2012). Evaluating factors influencing consumer satisfaction towards online shopping in China. Asian Social Science, 8(13), 40.
Harris, M. A., Brookshire, R., & Chin, A. G. (2016). Identifying factors influencing consumers’ intent to install mobile applications. International Journal of Information Management, 36(3), 441-450.
Heinrichs, J. H, Lim , J. S & Lim, K. S (2011), Influence of social networking site and user access method on social media evaluation, Journal of Consumer Behaviour, 10: 347–355.
Hew, J. J., Lee, V. H., Ooi, K. B., & Wei, J. (2015). What catalyses mobile apps usage intention: an empirical analysis. Industrial Management & Data Systems, 115(7), 1269-1291.
Hong, Y., & Pavlou, P. A. (2017). On buyer selection of service providers in online outsourcing platforms for IT services. Information Systems Research, 28(3), 547-562.
Hsu, C. L., & Lin, J. C. C. (2016). Effect of perceived value and social influences on mobile app stickiness and in-app purchase intention. Technological Forecasting and Social Change, 108, 42-53.
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: a review of four recent studies, Strategic Management Journal, Vol. 20, pp.195–204.
Im, I., Kim, Y., Han, H.J., (2008). The effects of perceived risk and technology type on users’ acceptance of technologies. Inform. Manage. 45 (1), 1–9.
Kaushik, A. K., Mohan, G., & Kumar, V. (2020). Examining the antecedents and consequences of customers’ trust toward mobile retail apps in India. Journal of Internet Commerce, 19(1), 1-31.
Kazancoglu, I., & Demir, B. (2021). Analysing flow experience on repurchase intention in e-retailing during COVID-19. International Journal of Retail & Distribution Management, 49(11), 1571-1593.
Kim, C., Mirusmonov, M., Lee, I., (2010). An empirical examination of factors influencing the intention to use mobile payment. Comput. Hum. Behav. 26 (3), 310–322.
Kim, H.W., Chan, H.C. & Gupta, S. (2007). Value-based adoption of mobile internet: an empirical investigation, Decision Support Systems, Vol. 43 No. 1, pp. 111-126.
Kim, K., Hwang, J., Zo, H., & Lee, H. (2016). Understanding users’ continuance intention toward smartphone augmented reality applications. Information Development, 32(2), 161-174.
Kotler, P., (1999). Kotler on Marketing — How to Create Win, and Dominate Markets. Simon& Schuster Inc
Lai, I. K. W., & Shi, G. (2015). The impact of privacy concerns on the intention for continued use of an integrated mobile instant messaging and social network platform. International Journal of Mobile Communications, 13(6), 641-669.
Lakshmi. S. (2016). Consumer buying behavior towards online shopping. International Journal of Research. Vol 4, pp 60-65.
Langner, T., Schmidt, J., & Fischer, A. (2015). Is It Really Love? A Comparative Investigation of the Emotional Nature of Brand and Interpersonal Love, Psychology & Marketing, Vol. 32 No. 6, pp. 624-634.
Liébana-Cabanillas, F., Sánchez-Fernández, J., & Munoz-Leiva, ˜F. (2014). Antecedents of the adoption of the new mobilepayment systems: The moderating effect of age. Computers in Human Behaviour, 464-478.
Lin, S.H. & Wu. H. (2012). Effects of Ethical Sales Behavior Considered through Transaction Cost Theory: To Whom Is the Customer Loyal?. The Journal of International Management Studies, Vol.7, No. 1, pp. 1-18.
Liu, y. Li,H & carlsson, c.(2009). Exploring the factors driving- learning adoption Ais. Symposium conducted at the meeting of the Amcis 2009. Sanfrancisco.
Luarn, P., Lin, P.H.H., (2005). Toward an understanding of the behavioral to use mobile banking. Comput. Hum. Behav. 21, 873–891
Martin, H.S. & Herrero, A. (2012). Influence of the user's psychological factors on the online purchase intention in rural tourism: integrating innovativeness to the UTAUT framework, Tourism Management, Vol. 33, pp. 341-350.
Morosan, C., & Defranco, A. (2016). Co-creating value in hotels using mobile devices: A conceptual model with empirical validation. International Journal of Hospitality Management, 52, 131–142.
Munoz-Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. (2017). Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Spanish Journal of Marketing-ESIC, 21(1), 25-38.
Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L. (2017). Understanding the intention to use mobile shopping applications and its influence on price sensitivity. Journal of Retailing and Consumer Services, 37, 8-22.
Okumus, B., & Bilgihan, A. (2014). Proposing a model to test smartphone users' intention to use smart applications when ordering food in restaurants. Journal of Hospitality and Tourism Technology, Vol. 5 No. 1,pp. 31-49.
Okumus, F. (2013). Facilitating knowledge management through information technology in hospitality organizations, Journal of Hospitality and Tourism Technology, Vol. 4 No. 1, pp. 64-80.
Omoregie, O.K., Addae, J.A., Coffie, S., Ampong, G.O.A. & Ofori, K.S. (2019). Factors influencing consumer loyalty: evidence from the Ghanaian retail banking industry, International Journal of Bank Marketing, Vol. 37 No. 3, pp. 798-820.
Patwardhan, H. & Balasubramanian, S. K. (2013). Reflections on emotional attach-ment to brands: Brand romance and brand love, Journal of Cus-tomer Behaviour, 12(1), 73–79.
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal Electronic Commerce, 7(3), 69-103.
Peng, X., Zhao, Y. C., & Zhu, Q. (2016). Investigating user switching intention for mobile instant messaging application: Taking WeChat as an example. Computers in Human Behavior, 64, 206-216.
Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovations: the marketing problem and its solutions,” Journal of Consumer Marketing, Vol. 6, No. 2: 5-14.
Reichheld, F. F., & Schefter, P. (2000). E-loyalty: Your secret weapoon the web. Harvard Business Review, 78(4), 105---113.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). NewYork, NY: Free Press.
Sarstedt, M.&, Cheah, J.H. (2019) Partial least squares structural equation modeling using SmartPLS: a software review. J Market Anal 7, 196–202.
Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic commerce research and applications, 9(3), 209-216.
Shang, D., & Wu, W. (2017). Understanding mobile shopping consumers’ continuance intention. Industrial Management & Data Systems.,vol.117 iss 1pp. 213-227
Shin, D. H., & Shin, Y. J. (2011). Why do people play social network games?. Computers in Human Behavior, 27(2), 852-861.
Shoham, S., & Gonen, A. (2008). Intentions of hospital nurses to work with computers: Based on the theory of planned behavior. Computers Informatics Nursing, 26(2), 106–116.
Srinivasan, S .S, Anderson R. & Ponnavolu, K. (2002). customer loyalty in e-commerce: an exploration of its antecedents and consequences. Journal of retailing, 78(1), 41-50.
Stocchi, L., Pourazad, N., Michaelidou, N., Tanusondjaja, A., & Harrigan, P. (2022). Marketing research on Mobile apps: past, present and future. Journal of the Academy of Marketing Science,50, 195-222.
Sturiale, L., & Scuderi, A. (2016). The digital economy: New e-business strategies for food Italian system. International Journal of Electronic Marketing and Retailing, 7(4), 287-310.
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of retailing, 77(2), 203-220.
Sweeney, L. C. (1999). The Role of Perceived Risk in the Ouality-Value Relationship: A Study in a Retail Environment. Journal of retailing, 75(1).
Thakur, R. (2018). Customer engagement and online reviews. Journal of Retailing and Consumer Services, 41, 48-59.
Ting, K.C., Ting, P.H., Hsiao, P.W., (2014). Why are bloggers willing to share their thoughts via travel blogs? Int. J. Technol. Manag. 61 (1), 89–108.
Upadhyay, P., & Jahanyan, S. (2016). Analyzing user perspective on the factors affecting use intention of mobile based transfer payment. Internet Research, 26(1), 38-56.
Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application, 11 (2), 5–40.
Vahdat, A., Alizadeh, A., Quach, S., & Hamelin, N. (2021). Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention. Australasian Marketing Journal, 29(2), 187-197.
Venkatesh, V., Morris, M.G., Davis, G.B. & Davis, F.D. (2003). User acceptance of information technology: toward a unified view, MIS Quarterly, Vol. 27, No. 3, pp.425–478.
Venkatesh, V., Thong, J.Y.L. & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology, MIS Quarterly,Vol. 36, No. 1, pp.157–178.
Wang, B. R., Park, J. Y., Chung, K., & Choi, I. Y. (2014). Influential factors of smart health users according to usage experience and intention to use. Wireless personal communications, 79(4), 2671-2683.
Williams, M. D. (2018). Social commerce and the mobile platform: Payment and security perceptions of potential users. Computers in Human Behavior.
Yi, M. Y., Fiedler, K. D., & Park, J. S. (2006). Understanding the role of individual innovativeness in the acceptance of IT-based innovations: Comparative analyses of models and measures. Decision Sciences,37(3), 393–426.
Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085-1091.
Zhou, T. (2008, August). The impact of perceived value on user acceptance of mobile commerce. In 2008 International Symposium on Electronic Commerce and Security (pp. 237-240). | ||
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