Causal Factors of Sales Technology Adoption Affecting The Behavior Intentions of The Online Business in Small and Medium Enterprises
Keywords:
Perceived Value, User Access, Social Influence, Sales Technology, Behavior IntentionsAbstract
Web shopping is one of the most popular activities on the internet, but the reason why consumers shop online is unclear. The objectives of this study were: 1) to study the causal factors level affecting sales technology adoption and behavior intentions of the online business in small and medium enterprises, 2) to study the influence of causal factors of sales technology adoption affecting behavior intentions of the online business in small and medium enterprises, and 3) to develop a model the causal factors of sales technology adoption affecting behavior intentions of the online business in small and medium enterprises. A researcher collected data from interviews and online questionnaires with online business entrepreneurs, using the Krejcie & Morgan (1970) and collecting a sample of 384 people and statistics analysis by Structural Equation Model: SEM.
The results of the analysis concluded that perceived value level in use affected sales technology adoption, perceived value in use affected behavior intents through sales technology adoption, user access affected sales tech adoption, user access affected behavior intentions through sales tech adoption, social influence affected sales technology adoption, social influence affected behavior intents through sales technology adoption, and sales technology adoption affected behavior intentions. The online business can identify the use of sales technology. It can also be used to increase the behavior intentions of customers to buy products online and make online businesses able to compete with other entrepreneurs
References
ณัฐา ฉางชูโต. (2555). ระดับความสำคัญของปัจจัยการสื่อสารการตลาดในการซื้อสินค้าและบริการออนไลน์ของผู้บริโภค. กรุงเทพฯ: มหาวิทยาลัยกรุงเทพ.
ศูนย์วิจัยกสิกรไทย. (2566). เศรษฐกิจไทยปี 2566. ค้นเมื่อ 8 กรกฎาคม 2556, จากwww.kasikornbank.com/th/news/pages/thai-economic-2023.aspx
Akram, M.W. (2023). Influence of social media on consumer’s online purchasing habits during the COVID-19 pandemic in Pakistan. International Journal of Management Research and Emerging Sciences, 13(1),197-215.
Davis, F.D. and Davi, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 319-339.
Fatah, Y., Rofiq, A., & Indrawati, N.K. (2023). The effect of trust and perceived value on reuse intention of Linkaja application users mediated by customer satisfaction. Journal of World Science, 2 (3), 445-458.
Hair, J., Black, W., Babin, B., Anderson, R. and Tatham, R. (2006) Multivariate data analysis. (6th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
Harun, N.B., Jalil, H.A., & Zolkepli, M. (2022). Technological, organizational and environmental factors influencing on user intention towards big data technology adoption in Malaysian educational organization. Accounting, 8(4), 403-408.
Hasan, A.A. (2022). Perceived value and behavioral intentions toward dining at Chinese restaurants in Bangladesh: the role of self-direction value and price fairness. South Asian Journal of Marketing, 3(2), 116-134.
omburg, C., Wieseke, J., & Kuehnl, C. (2009). Social influence on salespeople's adoption of sales technology: A multilevel analysis. Journal of the Academy of Marketing Science, 38(2), 159-168.
Israfilzade, K. & Baghirova, S. (2023). Comparing the impact of brand and user-generated video content on online shoppers’ purchasing intentions. Management of Organizations: Systematic Research, 88(1), 69-84.
Liu, Y. (2023). Effects of user experience in live marketing on consumer purchase intention. Retrieved from https://bcpublication.org/index.php/BM/article/view/4159
Liu, Y., Gan, Y., Song, Y., & Liu, J. (2021). What influences the perceived trust of a voice-enabled smart home system: An empirical study. Sensors, 21(6), 2037.
Mohamed, M. & Rahman, N.A.F.W. (2022). The relationship between service quality, perceived value, satisfaction and behavioral intentions in rail transport industry. Journal of Tourism Hospitality and Environment Management, 7(30), 30-38.
Nainggolan, I. & Handayani, P.W. (2023). Factors affecting individual’s behavioral intention to use online capital market investment platforms in Indonesia. Interdisciplinary Journal of Information, 18, 1-29.
Naqbi, A. & Yassin, A.M. (2022). Attributes of mobile technology adoption acceptance from users perspective. International Journal of Sustainable Construction Engineering and Technology, 13(2), 220-232.
Nwachukwu, D., Azuonwu, Nwador, C., & Origbo, H. (2023). Self-service technology adoption and post-purchase intentions of deposit money banks customers in Port Harcourt. International Journal of Management Sciences,10(1), 175 – 211.
Nyagadza, B. & Mazuruse, G. (2023). Examining the influence of social media eWOM on consumers’ purchase intentions of commercialised indigenous fruits (IFs) products in FMCGs retailers. Sustainable Technology and Entrepreneurship, 2(3), 100040.
Poggi, N., Carrera, D., & Gavalda, R. (2014). A methodology for the evaluation of high response time on E-commerce users and sales. Information Systems Frontiers, 16(5), 867-885.
Salehi, S., Miremadi, I., Negati, M.G., & Ghafouri, H. (2023). Fostering the adoption and use of super App technology. IEEE Transactions on Engineering Management, 99, 1-15.
Schendzielarz, D., Alavi, S., & Guba, J.H. (2022). The impact of salespeople’s social media adoption on customer acquisition performance – a contextual perspective. Journal of Personal Selling and Sales Management, 42(7), 1-19.
Sudaryantom, M.R., Hendrawan, M.A., & Andrian, T. (2023). The effect of technology readiness, digital competence, perceived usefulness, and ease of use on accounting students artificial intelligence technology adoption. In Proceedings of the E3S Web of Conferences, 388, 9.
Yang, X. (2023). Consumers' purchase intentions in social commerce: the role of social psychological distance, perceived value, and perceived cognitive effort. Information Technology and People, 35(8), 330-348.
Yeik, K.K., Marc, L.W., Kaur, S., & Soh, K. (2023). How and when social media influencers’ intimate self-disclosure fosters purchase intentions: the roles of congruency and parasocial relationships. Marketing Intelligence & Planning. Marketing Intelligence & Planning, 41, 2-3.
Zhang, s. & Zhang, L. (2023). The influence of brand social interaction on purchase intention: A perspective of social capital. SAGE Open, 13(2), 21582440231.
Zhao, P., Ma, Z., Gill, T., & Ranaweera, C. (2023). Social media sentiment polarization and its impact on product adoption. Marketing Letters, 34, 497–512.
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