Information technology practices in the Jordanian retail sector: Employee and customer perspective
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DOIhttp://dx.doi.org/10.21511/im.18(1).2022.04
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Article InfoVolume 18 2022, Issue #1, pp. 38-48
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This paper aims to discuss the adoption of information technology by retailers in Jordan and the impact on retail space, particularly in major urban areas of Jordan. Retailers such as Walmart, Amazon, and Metro are using advanced technologies to continue attracting and expanding consumers with the advent of internet of things (IoT), radio frequency identification (RFID) and point of sales (POS) hardware and software and retail.
The study relied on the explanatory approach to achieve these objectives. The study sample consisted of 134 stores that were chosen randomly and 480 customers of these stores, which were also chosen randomly. A questionnaire was designed based on previous studies and distributed among the respondents. The statistical analysis program (SPSS) was used to analyze the data obtained from the sample and test the hypotheses.
The study results showed that information technologies influence customer perceptions. However, RFID appears to have no impact on employee perception. Retailers’ attitudes and adoption of information technologies in the Jordanian retail sector are heavily influenced by external factors. RFID usage does not play a significant role in determining the retailers’ attitude towards adopting IT practices. The reason for such an outcome may be that sometimes the devices fail to read the various codes, and thus, it makes it difficult for the retailer to scan the products.
Acknowledgment
This paper is supported with a generous fund of the faculty of scientific research and graduate studies, Al-Hussein Bin Talal University. Fund decision number – 47/2021.
- Keywords
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JEL Classification (Paper profile tab)O31, O32
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References49
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Tables6
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Figures0
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- Table 1. KMO results
- Table 2. Reliability
- Table 3. Employee profile
- Table 4. Customer profile
- Table 5. Hypotheses testing (dependent variable – retailer perception)
- Table 6. Hypotheses testing (dependent variable – consumer perception)
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- Abu Rumman, A. (2003). Evaluation of Jordanian consumer attitude towards Departmental stores. Jordan Journal of Applied Science, 6(1), 69-95.
- Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
- Al-Lamy, H. A., Bakry, M. H., Raad, W., Al-Shami, S. A., Alaraji, Z.J., Alsa-Lihi, M. W., & Al-Tameemi, H. M. (2018). Information technology infrastructure and small medium enterprises’ in Iraq. Opcion, 34(86), 1711-1724.
- Al-Tae’e, H. (2002). Factors Influencing Food Preference Decision of Restaurant Clients. Dirasat for Management Science, 29(2).
- Alomari, K. M., Mansour, A. M., Almohtaseb, A. A., Salah, A. A., & Alshaketheep, K. M. (2020). Lean Six Sigma in Jordanian Organizations. International Journal of Economics & Business Administration (IJEBA), 8(3), 429-447.
- Aloysius J. A., Hoehle H., Venkatesh V. (2016). Exploiting big data for customer and retailer benefits: A study of emerging mobile checkout scenarios. International Journal of Operations & Production Management, 36(4), 467-486.
- Alshaketheep, K. M. K. I., Salah, A. A., Alomari, K. M., Khaled, A. S. D., & Jray, A. A. A. (2020). Digital Marketing during COVID-19: Consumers’ Perspective. WSEAS Transactions on Business and Economics, 17, 831-841.
- Ameed, S. S., & Kumar, D. (2015). Impact Of Membership Card On Retention Of Customers In Retail Sector In Chennai. International Journal of Management, 6(1), 443-455.
- Binkley, S. (2009). The civilizing brand: shifting shame thresholds and the dissemination of consumer lifestyles. European Journal of Cultural Studies, 12(1), 21-39.
- Bishnoi, V. (2014). Role of Information Technology and ECRM in 21st Century Retail Organisations. International Journal of Emerging Techonology and Advanced Engineering, 4(1), 433-440.
- Busacca, B., & Padula, G. (2005). Understanding the relationship between attribute performance and overall satisfaction: Theory, measurement and implications. Marketing Intelligence & Planning, 23(6), 543-561.
- Cao, Q., Gedajlovic, E., & Zhang, H. (2009). Unpacking Organizational Ambidexterity: Dimensions,Contingencies, and Synergistic Effects. Organization Science, 20(4), 781-796.
- Chang, T.-H., Fu, H.-P., Lee, W.-I., Lin, Y., & Hsueh, H.-C. (2007). A study of an augmented CPFR model for the 3C retail industry. Supply Chain Management, 12(3), 200-209.
- Cho, H., & Fiorito, S. S. (2010). Self-Service Technology in Retailing. The Case of Retail Kiosks. Symphonya. Emerging Issues in Management, 1, 43-55. Cho, H., & Fiorito, S. S. (2010). Self-Service Technology in Retailing. The Case of Retail Kiosks. Symphonya. Emerging Issues in Management, 1, 43-55.
- Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
- Deloitte. (2014). Global Powers of Retailing 2014: Retail Beyond begins.
- Deloitte. (2016). Technology in Retail: From centre stage to supporting player: Beyond four walls.
- Dodes, R. (2007, February 3). Strike a pose, count your pennies. The Wall Street Journal.
- Earl, M.J. (1993). Experiences in strategic information systems planning: editor’s comments. MIS Quarterly, 17(3), 2-3.
- Eide, B. (2013). Consumer Behavior Theories – Purchasing Organic Food (Thesis). Aarhus University.
- Fleisher, C. S., & Bensoussan, B. (2004). Strategic and Competitive Analysis: Methods and Techniques for Analysing Business Competition. London: Prentice-Hall.
- Fiorito, S. S., & Gable, M. (2011). Retail Buying Practices and Policies in a Global Economy. Columbus, OH: Prentice-Hall.
- Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate Data Analysis. New York: Simon and Schuster.
- Herhausen, D. (2016). Unfolding the ambidextrous effects of proactive and responsive market orientation. Journal of Business Research, 69(7), 2585-2593.
- Khaled, A. S. D., Alabsy, N. M., Al-Homaidi, E. A., & Saeed, A. M. M. (2020a). The Impact Of The Covid-19 Pandemic On Retailer Performance: Empirical Evidence From India. Innovative Marketing, 16(4), 129-138.
- Khaled, A. S., Ahmed, S., Tabash, M. I., Al-Homaidi, E. A., & Hossain, M. I. (2019). The Impact of Technological and Marketing Innovations on Retailing Industry: Evidence of India. Journal of Reviews on Global Economics, 8, 948-957.
- Khaled, A. S., Ahmed, S., Yahya, A. T., & Farhan, N. H. (2020b). The role of innovation on Indian retail industry. International Journal of Business Innovation and Research, 23(4), 435-452.
- Keen, C., Wetzels, M., & de Ruyter, K., Feinberg, R. (2004). E-retailers versus retailers: Which factors determine consumer preferences. Journal of Business Research, Elsevier, 57(7), 685-695.
- Lancaster, K. J. (1996). A new approach to consumer theory. Journal of Political Economics, 74(2), 132-157.
- Markides, C., & Sosa, L. (2013). Pioneering and first mover advantages: The importance of business models. Long Range Planning, 46, 325-340.
- Moghadamzadeh, A., Ebrahimi, P., Radfard, S., Salamzadeh, A., & Khajeheian, D. (2020). Investigating the role of customer co-creation behavior on social media platforms in rendering innovative services. Sustainability, 12(17), 6926.
- Nair, S. K., & Nair, B. C. (2018). Key Drivers & Factors Influencing Organized Retail Sector in Kerala. International Journal of Mechanical Engineering and Technology, 9(6), 680-684.
- Najib, M., Dewi, F. R., & Widyastuti, H. (2014). Collaborative networks as a source of innovation and sustainable competitiveness for small and medium food processing enterprises in Indonesia. International Journal of Business and Management, 9(9), 147.
- Nejati, M., Salamzadeh, Y., & Salamzadeh, A. (2011). Ecological purchase behaviour: insights from a Middle Eastern country. International Journal of Environment and Sustainable Development, 10(4), 417-432.
- Rahman, Z. (2004). Welcome Note. India Quarterly. 60(4), 1-2.
- Renko, S., & Druzijanic, M. (2014). Perceived usefulness of innovative technology in retailing: Consumers and retailers point of view. Journal of Retailing and Consumer Services, 21(5), 836-843.
- Retail Asia Online. (2014). Home.
- RFID. (2010). The RFID industry daily.
- Salomann, H., Dous, M., Kolbe, L., & Brenner, W. (2006). Advancing CRM initiatives with knowledge management. Journal of Information Science and Technology, 3(2), 24-44.
- Sanders, N. R. (2008). Pattern of information technology use: the impact on buyer-suppler coordination and performance. Journal of Operations Management, 26(3), 349-367.
- Saunders, M. N. K., Lewis, P., & Thornhill, A. (2007). Research methods for business students. Harlow, England: Financial Times/Prentice Hall.
- Segetlija, Z. (2009). Contemporary Management Development Of Retail Trade. Ekonomski vjesnik, XXII(1), 87-92.
- Shet, A. R. (2016). Information Technology in Retail Sector. International Journal of Scientific Engineering and Research (IJSER), 4(5), 43-46.
- Smith, S. (2010). Network booster. Stores Magazine, 92(3), 30.
- Steermann, H. (2003). A practical look at CPFR: the Sears-Michelin experience. Supply Chain Management Review, 7(4), 46-53.
- The Star. (2013, October 26). Budget 2014: GST at 6% from April 2015.
- Ward, P., & Zhou, H. (2006). Impact of information technology integration and lean/just-in-time practices and lead-time performance. Decision Sciences, 37(2), 177-203.
- Weber, M. M., & Kantamneni, S. P. (2002). POS and EDI in retailing; an examination of underlying benefits and barriers. Supply Chain Management, 7(5), 311-317.
- Zhang, J., & Wedel, M. (2009). The Effectiveness of Customized Promotions in Online and Offline Stores. Journal of Marketing Research, 46(2),190-206.