How to cite this paper
Ram, M., Selvabaskar, S., Guhan, R & Rajarathi, K. (2023). The effect of digital communication technologies in retail supply chain management: Evidence from Indian small retailers.Journal of Future Sustainability, 3(3), 125-132.
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RYU, J. S. (2021). Performance Expectancy and Effort Expectancy in Omnichannel Retailing. The Journal of Industrial Distribution & Business, 12(4), 27-34.
Schweitzer, E. O. (2001). Digital communications for power system protection: Security, availability, and speed. 7th In-ternational Conference on Developments in Power Systems Protection (DPSP 2001) (pp. 94-97). Amsterdam, Neth-erlands: IET digital library.
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Sukendro, S. H. (2020). Using an extended Technology Acceptance Model to understand students’ use of e-learning dur-ing Covid-19: Indonesian sport science education context. Heliyon, 6 (11), e05410.
Wang, K. (2015). Determinants of mobile value-added service continuance: The mediating role of service experience. Information & Management, 52(3), 261-274.
Whittlesey, N. (2003). Improving irrigation efficiency through technology adoption: when will it conserve water?. In Developments in Water Science, 50, 53-62) (https://doi.org/10.1016/S0167-5648(03)80007-2).
Yenisey, M. M. (2005). Perceived security determinants in e-commerce among Turkish university students. Behaviour & Information Technology, 24(4), 259-274.
Zhou, T. (2013). Understanding continuance usage of mobile sites. Industrial Management and Data systems, 113(9), 1286 - 1299.
Al-Qeisi, K. D. (2014). Website design quality and usage behavior: a unified theory of acceptance and use of technolo-gy. Journal of Business Research, 67(11), 2282-2290.
Asrani, C. &. (2022). Diffusion and adoption of digital communications services in India. Information Technology for Development, 1-23.
Cable, D. M. (2002). The convergent and discriminant validity of subjective fit perceptions. Journal of applied psychol-ogy, 87(5), 875.
Chen, S. C. (2009). Determinants of satisfaction and continuance intention towards self‐service technologies. Industrial Management & Data Systems, 109(9), 1248-1263.
Farrell, A. M. (2009). Factor analysis and discriminant validity: A brief review of some practical issues. Aston Univer-sity, 1-9 (https://publications.aston.ac.uk/id/eprint/7644/1/factor_analysis_ANZMAC_2009.pdf).
Foroughi, B. I. (2019). Understanding the determinants of mobile banking continuance usage intention. Journal of En-terprise Information Management, 32(6), 1015-1033.
Kaewkitipong, L. C. (2016). Using social media to enrich information systems field trip experiences: Students’ satisfac-tion and continuance intentions. Computers in Human Behavior, 63, 256-263.
Managi, S. H. (2014). Efficiency or technology adoption: A case study in waste-treatment technology. Resource and en-ergy Economics, 36(2), 586-600.
Mayer, R. D. (1995). An integrative model of organizational trust. Academy of management review, 20(3), 709-734.
Nath, A. S. (2022). Antecedents of blockchain technology adoption intentions in the supply chain. International Journal of Business Research, 21(4), 564-584.
Nurdin, N. P. (2019). Understanding digital skill use from the technology continuance theory (TCT). In 2019 6th Inter-national Conference on Information Technology, Computer and Electrical Engineering (ICITACEE) (pp. 1-6). USA: IEEE.
Rahi, S. O. (2019). ntegration of UTAUT model in internet banking adoption context: The mediating role of perfor-mance expectancy and effort expectancy. Journal of Research in Interactive Marketing, 13(3), 411-435.
RETAIL INDUSTRY REPORT. (2022). New Delhi, India: IBEF.
RYU, J. S. (2021). Performance Expectancy and Effort Expectancy in Omnichannel Retailing. The Journal of Industrial Distribution & Business, 12(4), 27-34.
Schweitzer, E. O. (2001). Digital communications for power system protection: Security, availability, and speed. 7th In-ternational Conference on Developments in Power Systems Protection (DPSP 2001) (pp. 94-97). Amsterdam, Neth-erlands: IET digital library.
Spiliotopoulou, G. (2009). Reliability reconsidered: Cronbach's alpha and paediatric assessment in occupational thera-py. Australian Occupational Therapy Journal, 56(3), 150-155.
Sukendro, S. H. (2020). Using an extended Technology Acceptance Model to understand students’ use of e-learning dur-ing Covid-19: Indonesian sport science education context. Heliyon, 6 (11), e05410.
Wang, K. (2015). Determinants of mobile value-added service continuance: The mediating role of service experience. Information & Management, 52(3), 261-274.
Whittlesey, N. (2003). Improving irrigation efficiency through technology adoption: when will it conserve water?. In Developments in Water Science, 50, 53-62) (https://doi.org/10.1016/S0167-5648(03)80007-2).
Yenisey, M. M. (2005). Perceived security determinants in e-commerce among Turkish university students. Behaviour & Information Technology, 24(4), 259-274.
Zhou, T. (2013). Understanding continuance usage of mobile sites. Industrial Management and Data systems, 113(9), 1286 - 1299.