scholarly journals Determinants of RFID Technology Adoption Intention in the Saudi Retail Industry: An Empirical Study

Author(s):  
Salem Alqahtani ◽  
Samuel Fosso Wamba
2014 ◽  
Vol 30 (3) ◽  
pp. 633 ◽  
Author(s):  
Seungjae Shin ◽  
Burak Eksioglu

Ten years have passed since Wal-Marts public announcement about its RFID technology adoption plan in 2003. Some large competitors of Wal-Mart in the U.S. retail industry jumped on the trend of RFID technology adoption. However, there has been a slowdown of RFID technology adoption since 2008. Many U.S. retailers do not consider adopting RFID technology because of the uncertainty of return on investment and the lack of business cases demonstrating its profitability or efficiency. This study investigates whether RFID companies have better financial performance ratios in the U.S. retail supply chains. RFID retailers have significantly lower days-in-inventory and lower per-employee costs. Compared with pre-RFID, the RFID retailers do not improve profit ratios after they adopted it, but their days-in-inventory ratio and sales efficiency improve significantly. Panel data regression analyses show that inventory management efficiency does impact gross margins, but the impact of cost efficiency is negligible. RFID retailers have a positive relationship with gross margin increases. In summary, it could be stated that introducing RFID improves inventory management efficiency but we do not know yet if RFID technology adoption also contributes to profitability in U.S. retail industry.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
M.A. Sanjeev ◽  
Shahnaz Khademizadeh ◽  
Thangaraja Arumugam ◽  
D.K. Tripathi

Purpose This study aims to evaluate the role of personality in digital library systems (DLS) adoption intention among Generation Z (Gen-Z) students. The study uses the unified theory of acceptance and use of technology-2 and the five-factor model to investigate personality’s influence on Gen-Z’s DLS adoption intention. Design/methodology/approach The study is a descriptive causal investigation based on primary data collected through a self-administered survey using pre-validated tools. The study uses structural equation modeling to investigate personality dimensions’ direct and moderating effect on the dependent, independent variables and their relation. Findings The study results indicate that personality has no significant influence on Gen-Z’s DLS adoption, suggesting the ubiquity and inevitability of technology in current times. Also, only performance expectancy had a considerable impact on DLS adoption among Gen-Z going to college – a deviation from past studies where multiple independent variables have influenced DLS adoption when examined from different technology adoption model angles. Research limitations/implications The current research is done on Gen-Z, and thus the results are ideographic to the cohort. Practical implications The results of the study can be used to effectively design and communicate technology-enabled information solutions among the Cohort. Social implications The results of the study help better understand the factors affecting the technology adoption intentions of Gen-Z. Such understanding can help in better design and implementation of technology-enabled solutions for the cohort, maximizing such system adoption and its effective and efficient utilization. Originality/value The study explores the impact of personality on DLS adoption intentions, hitherto unexplored. The research also focuses on Gen-Z – a cohort born in a technology-enabled world whose attitude and preferences towards technology might differ. The study’s findings will help understand the influence of personality on DLS adoption among the Gen-Z and can be used to design, promote and evaluate such systems.


2014 ◽  
Vol 5 (2) ◽  
pp. 194-206 ◽  
Author(s):  
Ahmet Bulent Ozturk ◽  
Murat Hancer

Purpose – The purpose of this paper is to investigate the impact of hotel property characteristics and information technology (IT) decision-maker characteristics on radio frequency identification (RFID) technology adoption in the hotel industry. Design/methodology/approach – The data of the study were collected using the subscription list of Hospitality Financial and Technology Professionals (HFTP). A Web survey was used to collect the data of the study. An email invitation was sent out to invite the entire list of HFTP subscribers (3,080) to participate in the survey. Approximately 3,000 emails were delivered and 154 questionnaires were returned. Of 154 questionnaires, 125 were used in the study for further analyses. Analysis of variance (ANOVA) was used to determine whether hotel property characteristics (property size and chain affiliation) and IT decision-maker characteristics (age, education level and job tenure) differed on intention to adopt RFID technology. Findings – ANOVA results indicated that there were significant differences on intention to adopt RFID technology by property size and chain affiliation, IT decision-makers’ age, education level and job tenure. The results indicated that larger hotels and hotels that are part of a franchise are more likely to adopt RFID technology. In addition, IT decision-makers who are young, with high level of education and with shorter job tenure are more likely to adopt RFID technology. Originality/value – RFID technology is one of the recent technologies that gained great attention from the hotel operators in recent years. This study is one of the first studies in the hotel industry that provides valuable information to technology vendors for identifying potential RFID technology adopters in the hotel industry.


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