The Effects of Consumer Readiness on the Adoption of Self-Service Technology: Moderating Effects of Consumer Traits and Situational Factors

Shim, Hyeon Sook; Han, Sang Lin; Ha, Joseph

doi:10.3390/su13010095

Cited by 31 publications

(15 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This finding is supported by previous researchers that there is a positive relationship between OPTM and PEOU and usefulness. Different from Shim et al [8], the INNV construct does not have a significant impact on PU. However, it has a significant negative effect on the PEOU.…”

Section: Discussioncontrasting

confidence: 63%

See 1 more Smart Citation

Understanding Digital Banking Adoption During Post-Coronavirus Pandemic: An Integration of Technology Readiness and Technology Acceptance Model

Musyaffi¹,

Johari²,

Rosnidah³

et al. 2022

TEM Journal

View full text Add to dashboard Cite

Digital banking can make banking transactions easier in daily life. However, the presence of technology does not seem to be welcomed. This is due to the unpreparedness of technology for digital banking technology. The target respondents are millennial generation users in Indonesia who use digital banking services during post-corona virus. The sample selection using random sampling with 422 respondents. The data analyses were performed using SEM-PLS. The results show that Optimism, Discomfort, and Insecurity affect the acceptance of digital banking based on perceived ease of use and usefulness. However, Innovativeness has no connection on perceived usefulness. This is because post-covid conditions, the most important thing is how digital banking can support survival. They also argue that digital banking can make it easier and useful for daily life, especially in payment features connected.

show abstract

Section: Discussioncontrasting

confidence: 63%

“…There are 4 constructs in the technology readiness model, namely Optimism (OPTM), Innovativeness (INNV), Insecurity (INS), and Discomfort (DSCM). TR is an important factor in determining user attitudes and behavior [8], [9]. Thus, each construct in the TR model becomes a determinant in one's technology adoption.…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding Digital Banking Adoption During Post-Coronavirus Pandemic: An Integration of Technology Readiness and Technology Acceptance Model

Musyaffi¹,

Johari²,

Rosnidah³

et al. 2022

TEM Journal

View full text Add to dashboard Cite

show abstract

“…According to that result, previous research has argued that related to the hotel industry, there is a favorable correlation between perceived usefulness and intention to use SST (Alsamydai, Yousif, and Al Khasawneh, 2012;Elliott et al, 2013;M. Kim and Qu, 2014;Mukerjee, 2020;Renko and Druzijanic, 2014;Shim et al, 2020).…”

Section: Testing Hypotheses and Discussionmentioning

confidence: 82%

“…The use of technologies in tourism has grown the number of opportunities for customers to self-serve . Although a large body of research has been conducted on the human dynamics of service contacts, there is still a lot to learn about customer interactions with technology-based self-service delivery choices (Shim, Han, and Ha, 2020). Self-service technologies (SSTs) have gradually changed how customers interact with businesses to receive services (Ghosh, 2020).…”

Section: Introductionmentioning

confidence: 99%

Customer Acceptance of Self-Service Technology in Five-Star Hotels in Egypt

Hassan

Nassar²,

Kamal³

2022

Pharos International Journal of Tourism and Hospitality

View full text Add to dashboard Cite

Self-service technology (SST) is continuously improving to make a wide range of services easier, quicker, and more suitable. The current study aims mainly to explore customers' acceptance and intention to use SST in five-star hotels in Egypt based on its ease of use and usefulness. Therefore, the current research highlighted four issues of SST, namely; technology acceptance (perceived usefulness and ease of use), technology readiness (innovativeness, optimism, discomfort, and insecurity), technology characteristics (responsiveness and smartness), and customers' intention to use SST. Five main hypotheses were developed consequently.A survey form was completed by 940 hotel customers; they were selected randomly from five-star hotels in five regions. The findings revealed that customer acceptance of SST in hotels was significantly correlated with technology readiness and technology characteristics. In addition, there was a significant correlation between customers' acceptance of SST and their intention to use it. The research presents a comprehensive insight into SST practises in five-star hotels in Egypt. Furthermore, many implementations are provided that help hotel managers and decision-makers understand what motivates customers to accept SST.

show abstract

“…In this vein, TRI measured people's tendency to accept and utilise modern technologies [39]. The four TRI dimensions are listed as follows [39,40] Although the original TAM was established in 1989 and TRI was established in 2000, both theories are still valid and recently there are still numerous researchers are using TAM and TRI models to measure the user acceptance and readiness of new emerging technologies on various applications such as acceptance of Airbnb sharing accommodation [64], online learning system [65], facial recognition payment [66], e-learning adoption [67], students' use of Zoom application [68], online food delivering ordering services [69], adoption of self-service technology [70] and virtual reality in fashion retailing [71].…”

Section: The Trimentioning

confidence: 99%

Exploring and Developing an Industrial Automation Acceptance Model in the Manufacturing Sector Towards Adoption of Industry 4.0

Bakar¹,

Razali²,

Wook³

et al. 2021

Manufacturing Technology

View full text Add to dashboard Cite

Technological progress in the 21st century has catalysed the industrial revolution (Industry 4.0) following the development of multiple new industrial automation technologies in the manufacturing sector. Regardless, past research indicated the unsuccessful attempts in adopting Industry 4.0 technologies among manufacturing organisations. Undoubtedly, the operationalisation of Industry 4.0 in manufacturing proved challenging as organisations were required to evaluate various aspects for effective implementation. Thus, a sound understanding of constructs concerning employees' acceptance and readiness levels towards novel automation technologies was required. Hence, this study aims to explore, develop, and validate the suggested conceptual framework by integrating the Technology Acceptance Model (TAM) and Technology Readiness Index (TRI) with Exploratory Factor Analysis (EFA). The EFA process was the first crucial step in ensuring the internal consistency and stability of the instrument across the sampling population. Consequently, the research outcome potentially enabled the manufacturing sector to identify and comprehend the key determinants in designing industrial automation technologies. This study also contributed to knowledge on technology acceptance by synthesizing TAM 3 and TRI 2.0 theories, thus constructing a new TAM in manufacturing.

show abstract

The Effects of Consumer Readiness on the Adoption of Self-Service Technology: Moderating Effects of Consumer Traits and Situational Factors

Cited by 31 publications

References 29 publications

Understanding Digital Banking Adoption During Post-Coronavirus Pandemic: An Integration of Technology Readiness and Technology Acceptance Model

Understanding Digital Banking Adoption During Post-Coronavirus Pandemic: An Integration of Technology Readiness and Technology Acceptance Model

Customer Acceptance of Self-Service Technology in Five-Star Hotels in Egypt

Exploring and Developing an Industrial Automation Acceptance Model in the Manufacturing Sector Towards Adoption of Industry 4.0

Contact Info

Product

Resources

About