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How to cite this paper
APA: Perumal, S., Qing, Y & Jaganathan, M. (2022). Factors influencing attitudes and intentions towards smart retail technology. International Journal of Data and Network Science, 6(2), 595-602.
Chicago/Turabian: Perumal, S., Qing, Y & Jaganathan, M. 2022. "Factors influencing attitudes and intentions towards smart retail technology." International Journal of Data and Network Science 6, no. 2 (2022): 595-602.
AMA: Perumal, S., Qing, Y & Jaganathan, M. Factors influencing attitudes and intentions towards smart retail technology. International Journal of Data and Network Science. 2022;6(2):595-602.
References
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Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice Hall.
Bashir, I. & Madhavaiah, C. (2017). "Consumer attitude and behavioural intention towards Internet banking adoption in India." Journal of Indian Business Research, 7(1), 67-102.
Bonetti, F., Warnaby, G., & Quinn, L. (2018). Augmented reality and virtual reality in physical and online retailing: A re-view, synthesis and research agenda. Augmented reality and virtual reality, 119-132.
Cakır, R., & Solak, E. (2015). Attitude of Turkish EFL Learners towards e-Learning through Tam Model. Social and Be-havioral Sciences, 176, 596 – 601.
Chang, Y. W., & Chen, J. (2021). What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness. Journal of Retailing and Consumer Services, 58, 102325.
Choi, J., & Kim, S. (2016). Is the smartwatch an IT product or a fashion product? A study on factors affecting the intention to use smartwatches. Computers in Human Behavior, 63, 777-786.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340.
Dickinger, A., Arami, M., & Meyer, D. (2008). The role of perceived enjoyment and social norm in the adoption of tech-nology with network externalities. European Journal of Information Systems, 17(1), 4-11.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. Interna-tional Journal of Human-Computer Studies, 59 (4), 451-474.
Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211-231.
Hair, J.F., Jr, Matthews, L.M., Matthews, R.L. & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 2(1), 107-123.
IHS Technology. (2016, March). IoT platforms: enabling the Internet of Things. [PDF document].
Ismail, I. (2019, October 14). 2020 Budget: A boost for Malaysia's tech industry. New Straits Times.
Kasilingam, D. L. (2020). Understanding the attitude and intention to use smartphone chatbots for shopping. Technology in Society, 62, 101280.
Kaushik, A. K. & Rahman, Z. (2015). An alternative model of self-service retail technology adoption. Journal of Services Marketing, 29(5), 406-420.
Kazancoglu, I., & Yarimoglu, E. K. (2017). How food retailing changed in Turkey: spread of self-service technologies. British Food Journal, 120(2), 290-308.
Kim, H.-Y., Lee, J. Y., Mun, J., & Johnson, K.K. (2017). Consumer adoption of smart in-store technology: Assessing the predictive value of attitude versus beliefs in the technology acceptance model. International Journal of Fashion De-sign, Technology and Education, 10, 26–36.
Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods. Information Systems Journal, 28(1), 227–261.
Lam, L. W. (2012). Impact of competitiveness on salespeople's commitment and performance. Journal of Business Re-search, 65(9), 1328-1334.
Li, R., Chung, T. L., & Fiore, M. (2017). Factors affecting current users' attitude towards e-auctions in China: An extended TAM study. Journal of Retailing and Consumer Services, 34, 19–29.
Liang, Y.L., Lee, S.H., & Workman J.E. (2019). Implementation of Artificial Intelligence in Fashion: Are Consumers Ready? Clothing and Textiles Research Journal, 38(1), 3-18.
Liu, Y., Mezei, J., Kostakos, V., & Li, H. (2017). Applying configurational analysis to IS behavioural research: a meth-odological alternative for modelling combinatorial complexities. Information Systems Journal, 27(1), 59-89.
Malaysia Smart City Framework (MSCF). (2021). The Malaysian Administrative Modernisation and Management Plan-ning Unit. https://malaysia.gov.my/portal/content/30947
Newman, C. L., Wachter, K., & White, A. (2018). Bricks or clicks? Understanding consumer usage of retail mobile apps. Journal of Services marketing, 32(2), 211-222.
Ng, S. I., Ho, J. A., Lim, X., J., Chong, K. L. & Latiff, K. (2019). Mirror, mirror on the wall, are we ready for Gen-Z in marketplace? A study of smart retailing technology in Malaysia. Young Consumers, 22(1), 68-89.
Pantano, E., Rese, A., & Baier, D. (2017). Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets. Journal of Retailing and Consumer Services, 38, 81-95.
Pantano, E., & Viassone, M. (2014). Demand pull and technology push perspective in technology-based innovations for the points of sale: The retailers evaluation. Journal of Retailing and Consumer Services, 21(1), 43-47.
Park, J. S., Ha, S., & Jeong, S. W. (2020). Consumer acceptance of self-service technologies in fashion retail stores. Journal of Fashion Marketing and Management: An International Journal, 25(2), 371-388.
Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in In-dia: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance re-dressal. International Journal of Information Management, 54, 102144.
Pillai, R., Sivathanu, B., & Dwivedi, Y. K. (2020). Shopping intention at AI-powered automated retail stores (AI-PARS). Journal of Retailing and Consumer Services, 57, 102207.
PWC. (2019). It's time for a consumer-centred metric: introducing 'return on experience.' [PDF document].
Rahman, M., Ismail, I., & Bahri, S. (2020). Analysing consumer adoption of cashless payment in Malaysia. Digital Busi-ness, 1(1), 100004.
Rasoolimanesh, M. S., Suhaida M. N., & Jaafar, M. (2018). Positive and Negative Perceptions of Residents Toward Tour-ism Development: Formative or Reflective. Springer Link.
Roy, S. K., Balaji, M. S., & Nguyen, B. (2020). Consumer-computer interaction and in-store smart technology (IST) in the retail industry: the role of motivation, opportunity, and ability. Journal of Marketing Management, 36(3-4), 299-333.
Roy, S. K., Balaji, M.S., Quasi, A., & Quaddus, M. (2018). Predictors of customer acceptance of and resistance to smart technologies in the retail sector. Journal of Retailing and Consumer Services, 42, 147-160.
Roy, S. K., Balaji, M. S., Sadeque, S., Nguyen, B., & Melewar, T. C. (2017). Constituents and consequences of smart cus-tomer experience in retailing. Technological Forecasting and Social Change, 124, 257-270.
Roy, S. K., Singh, G., & Shabnam, S. (2021). Modelling Customer Engagement Behaviour in Smart Retail-ing. Australasian Journal of Information Systems, 25.
Salihu, A., Metin, H., Hajrizi, E., & Ahmeti, M. (2019). The effect of security and ease of use on reducing the prob-lems/deficiencies of Electronic Banking Services. IFAC-PapersOnLine, 52(25), 159-163.
Straub, E. T., (2009). Understanding Technology Adoption: Theory and Future Directions for Informal Learning. Review of Educational Research, 79(2), 625–649.
Wang, W. T., & Li, H. M. (2012). Factors influencing mobile services adoption: a brand-equity perspective. Internet Re-search, 22(2), 142-179.
Wünderlich, N. V., Heinonen, K., Ostrom, A. L., Patricio, L., Sousa, R., Voss, C., & Lemmink, J. G. (2015). "Futurising" smart service: implications for service researchers and managers. Journal of Services Marketing, 29(6/7), 442-447.
Wu, L.-H., Wu, L.-C., & Chang, S.-C. (2016). Exploring consumers' intention to accept smartwatch. Computers in Human Behavior, 64, 383–392.
Yan, L. Y., Tan, G. W. H., Loh, X. M., Hew, J. J., & Ooi, K. B. (2021). QR code and mobile payment: The disruptive forc-es in retail. Journal of Retailing and Consumer Services, 58, 102300.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice Hall.
Bashir, I. & Madhavaiah, C. (2017). "Consumer attitude and behavioural intention towards Internet banking adoption in India." Journal of Indian Business Research, 7(1), 67-102.
Bonetti, F., Warnaby, G., & Quinn, L. (2018). Augmented reality and virtual reality in physical and online retailing: A re-view, synthesis and research agenda. Augmented reality and virtual reality, 119-132.
Cakır, R., & Solak, E. (2015). Attitude of Turkish EFL Learners towards e-Learning through Tam Model. Social and Be-havioral Sciences, 176, 596 – 601.
Chang, Y. W., & Chen, J. (2021). What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness. Journal of Retailing and Consumer Services, 58, 102325.
Choi, J., & Kim, S. (2016). Is the smartwatch an IT product or a fashion product? A study on factors affecting the intention to use smartwatches. Computers in Human Behavior, 63, 777-786.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340.
Dickinger, A., Arami, M., & Meyer, D. (2008). The role of perceived enjoyment and social norm in the adoption of tech-nology with network externalities. European Journal of Information Systems, 17(1), 4-11.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. Interna-tional Journal of Human-Computer Studies, 59 (4), 451-474.
Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211-231.
Hair, J.F., Jr, Matthews, L.M., Matthews, R.L. & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 2(1), 107-123.
IHS Technology. (2016, March). IoT platforms: enabling the Internet of Things. [PDF document].
Ismail, I. (2019, October 14). 2020 Budget: A boost for Malaysia's tech industry. New Straits Times.
Kasilingam, D. L. (2020). Understanding the attitude and intention to use smartphone chatbots for shopping. Technology in Society, 62, 101280.
Kaushik, A. K. & Rahman, Z. (2015). An alternative model of self-service retail technology adoption. Journal of Services Marketing, 29(5), 406-420.
Kazancoglu, I., & Yarimoglu, E. K. (2017). How food retailing changed in Turkey: spread of self-service technologies. British Food Journal, 120(2), 290-308.
Kim, H.-Y., Lee, J. Y., Mun, J., & Johnson, K.K. (2017). Consumer adoption of smart in-store technology: Assessing the predictive value of attitude versus beliefs in the technology acceptance model. International Journal of Fashion De-sign, Technology and Education, 10, 26–36.
Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods. Information Systems Journal, 28(1), 227–261.
Lam, L. W. (2012). Impact of competitiveness on salespeople's commitment and performance. Journal of Business Re-search, 65(9), 1328-1334.
Li, R., Chung, T. L., & Fiore, M. (2017). Factors affecting current users' attitude towards e-auctions in China: An extended TAM study. Journal of Retailing and Consumer Services, 34, 19–29.
Liang, Y.L., Lee, S.H., & Workman J.E. (2019). Implementation of Artificial Intelligence in Fashion: Are Consumers Ready? Clothing and Textiles Research Journal, 38(1), 3-18.
Liu, Y., Mezei, J., Kostakos, V., & Li, H. (2017). Applying configurational analysis to IS behavioural research: a meth-odological alternative for modelling combinatorial complexities. Information Systems Journal, 27(1), 59-89.
Malaysia Smart City Framework (MSCF). (2021). The Malaysian Administrative Modernisation and Management Plan-ning Unit. https://malaysia.gov.my/portal/content/30947
Newman, C. L., Wachter, K., & White, A. (2018). Bricks or clicks? Understanding consumer usage of retail mobile apps. Journal of Services marketing, 32(2), 211-222.
Ng, S. I., Ho, J. A., Lim, X., J., Chong, K. L. & Latiff, K. (2019). Mirror, mirror on the wall, are we ready for Gen-Z in marketplace? A study of smart retailing technology in Malaysia. Young Consumers, 22(1), 68-89.
Pantano, E., Rese, A., & Baier, D. (2017). Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets. Journal of Retailing and Consumer Services, 38, 81-95.
Pantano, E., & Viassone, M. (2014). Demand pull and technology push perspective in technology-based innovations for the points of sale: The retailers evaluation. Journal of Retailing and Consumer Services, 21(1), 43-47.
Park, J. S., Ha, S., & Jeong, S. W. (2020). Consumer acceptance of self-service technologies in fashion retail stores. Journal of Fashion Marketing and Management: An International Journal, 25(2), 371-388.
Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in In-dia: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance re-dressal. International Journal of Information Management, 54, 102144.
Pillai, R., Sivathanu, B., & Dwivedi, Y. K. (2020). Shopping intention at AI-powered automated retail stores (AI-PARS). Journal of Retailing and Consumer Services, 57, 102207.
PWC. (2019). It's time for a consumer-centred metric: introducing 'return on experience.' [PDF document].
Rahman, M., Ismail, I., & Bahri, S. (2020). Analysing consumer adoption of cashless payment in Malaysia. Digital Busi-ness, 1(1), 100004.
Rasoolimanesh, M. S., Suhaida M. N., & Jaafar, M. (2018). Positive and Negative Perceptions of Residents Toward Tour-ism Development: Formative or Reflective. Springer Link.
Roy, S. K., Balaji, M. S., & Nguyen, B. (2020). Consumer-computer interaction and in-store smart technology (IST) in the retail industry: the role of motivation, opportunity, and ability. Journal of Marketing Management, 36(3-4), 299-333.
Roy, S. K., Balaji, M.S., Quasi, A., & Quaddus, M. (2018). Predictors of customer acceptance of and resistance to smart technologies in the retail sector. Journal of Retailing and Consumer Services, 42, 147-160.
Roy, S. K., Balaji, M. S., Sadeque, S., Nguyen, B., & Melewar, T. C. (2017). Constituents and consequences of smart cus-tomer experience in retailing. Technological Forecasting and Social Change, 124, 257-270.
Roy, S. K., Singh, G., & Shabnam, S. (2021). Modelling Customer Engagement Behaviour in Smart Retail-ing. Australasian Journal of Information Systems, 25.
Salihu, A., Metin, H., Hajrizi, E., & Ahmeti, M. (2019). The effect of security and ease of use on reducing the prob-lems/deficiencies of Electronic Banking Services. IFAC-PapersOnLine, 52(25), 159-163.
Straub, E. T., (2009). Understanding Technology Adoption: Theory and Future Directions for Informal Learning. Review of Educational Research, 79(2), 625–649.
Wang, W. T., & Li, H. M. (2012). Factors influencing mobile services adoption: a brand-equity perspective. Internet Re-search, 22(2), 142-179.
Wünderlich, N. V., Heinonen, K., Ostrom, A. L., Patricio, L., Sousa, R., Voss, C., & Lemmink, J. G. (2015). "Futurising" smart service: implications for service researchers and managers. Journal of Services Marketing, 29(6/7), 442-447.
Wu, L.-H., Wu, L.-C., & Chang, S.-C. (2016). Exploring consumers' intention to accept smartwatch. Computers in Human Behavior, 64, 383–392.
Yan, L. Y., Tan, G. W. H., Loh, X. M., Hew, J. J., & Ooi, K. B. (2021). QR code and mobile payment: The disruptive forc-es in retail. Journal of Retailing and Consumer Services, 58, 102300.