What Predicts Commercial Bank Leaders’ Intention to Use Mobile Commerce?

Author(s):  
Maddy Halbach ◽  
Tao Gong

The purpose of this study was to investigate the roles leadership behaviors have on technology acceptance models, focusing on bank leaders’ intention to use mobile-commerce. The study included responses from 101 senior-level managers working at FDIC-insured commercial banks in the United States. Three instruments including Kouzes and Posner’s (1987) leadership practice inventory (LPI), Wu and Wang’s (2005) mobile commerce technology acceptance model (MC-TAM), and Oreg’s (2003) resistance to change model (RTC) were employed. A correlation analysis revealed that two transformational leadership behaviors—model the way and enabling others to act—positively relate to behavioral intent to use mobile commerce. A regression analysis found that perceived compatibility, perceived usefulness, and perceived ease of use are positively related to the behavioral intent to use m-Commerce. However, the authors found that the RTC and LPI model cannot predict the willingness to use m-Commerce.

2011 ◽  
Vol 9 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Maddy Halbach ◽  
Tao Gong

The purpose of this study was to investigate the roles leadership behaviors have on technology acceptance models, focusing on bank leaders’ intention to use mobile-commerce. The study included responses from 101 senior-level managers working at FDIC-insured commercial banks in the United States. Three instruments including Kouzes and Posner’s (1987) leadership practice inventory (LPI), Wu and Wang’s (2005) mobile commerce technology acceptance model (MC-TAM), and Oreg’s (2003) resistance to change model (RTC) were employed. A correlation analysis revealed that two transformational leadership behaviors—model the way and enabling others to act—positively relate to behavioral intent to use mobile commerce. A regression analysis found that perceived compatibility, perceived usefulness, and perceived ease of use are positively related to the behavioral intent to use m-Commerce. However, the authors found that the RTC and LPI model cannot predict the willingness to use m-Commerce.


Author(s):  
Uchenna Cyril Eze ◽  
Yew Siang Poong

Mobile commerce is increasingly becoming a key aspect of human activities with the advancement of mobile technology and services. This chapter examines key factors that influence m-commerce adoption and the moderating roles of gender and income. The conceptual framework is underpinned on an extended technology acceptance model. The data was collected using a questionnaire given to participants selected from Malaysia. The analysis was based on 260 valid responses. Findings reveal that five hypotheses developed for this chapter were supported for female participants, except perceived usefulness, and perceived ease of use was unsupported for male participants. Perceived usefulness and social influence were the most important factors for participants earning low and high income, respectively. Surprisingly, high-income earners indicated that cost is an important factor. The contributions to research and practice, including suggestions for future studies, are discussed.


2009 ◽  
Vol 5 (1) ◽  
pp. 46
Author(s):  
Mohammad Hasanudin

Theoretical and ernpirical research on technologt acceptance, while aclmowledging the importance of individual beliefs about the compatibility of a technologt, has pro&tced equivocal results. This research revians studies using the TechnologtAcceptance Model (TAM| in order to create a modified model and instrument to study the acceptance of Internet technologt by students in semarang town. In this paper, we examined the relationships between the TAM constructs to explain thevmiance in the acceptance of different information technologies. Based upon the empirical research using the technologt assessrnent model, a modifi.ed TAM was developed for the acceptance of Internet-based technologies by students. and add or change one part of the TAM. The purpose of this study is (1) to apply the TAM to Internet technologt to be useful antecedents for predicting perceived usefulness, perceived ease of use and behavioral intent to use. Subject of the resemch is studentsin Semarang town, They asked tofill the qutionair abo;ut perception in internet.Keywords: Prerceived, ease of use, attitude, technology acceptance model, behavior, internet


2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono

With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money. Keywords: electronic money, technology acceptance model, the theory of planned behavior.


2021 ◽  
Author(s):  
Rurid Dwi Anggraeny ◽  
Imam Baihaqi

The e-commerce industry has the potential to be one of the drivers of the domestic economy. One of the impacts of the advancement of e-commerce is the emergence of many online-based marketplaces or so-called e-marketplaces. However, a lot of these online marketplaces sell 90% imported products. In addition, the outbreak of Covid-19 in Indonesia has prompted the government to establish several policies that have significantly reduced MSME performance by up to 70-100%. This study aimed to provide an empirical analysis of the influence of factors based on the Technology of Acceptance Model (TAM) approach, namely e-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces. The sample consisted of MSMEs in East Java, especially those engaged in the food and beverage industry sector with ready-to-eat processed food products whose business activities use the Shopee e-marketplace application platform. This is an online shopping marketplace focused on mobile platforms. There were 150 respondents. The Structural Equation Model (SEM) was used. E-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces all had positive effects on each other. This showed that a system that offers convenience will improve behavior, habits, and performance for MSMEs in using e-marketplace activities. The theoretical and methodological implications and opportunities for further research are discussed. Keywords: MSMEs, e-marketplace, technology acceptance model


2022 ◽  
Vol 6 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Amer Al-Husamiyah ◽  
Mahmood Al-Bashayreh

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.


2011 ◽  
pp. 826-836
Author(s):  
Charlie Chen ◽  
Samuel C. Yang

E-commerce applications are primarily used at home and in the workplace. Utilitarian elements, including cognitive beliefs of perceived usefulness, perceived ease of use (at the individual level), industry pressure, organizational readiness, economics, and trust (at the business level) are key determinants contributing to the usage of e-commerce applications. Mobile devices redefine the meaning of workplace. The use of mobile services could be in and outside the workplace. Hedonic elements, such as fun, culture, life style, and hype are key determinants contributing to the usage of mobile commerce applications. The purpose of our article is to discuss and clarify immediate determinants of e-commerce and mobile commerce applications based on the technology acceptance model.


Author(s):  
Charlie Chen ◽  
Samuel C. Yang

E-commerce applications are primarily used at home and in the workplace. Utilitarian elements, including cognitive beliefs of perceived usefulness, perceived ease of use (at the individual level), industry pressure, organizational readiness, economics, and trust (at the business level) are key determinants contributing to the usage of e-commerce applications. Mobile devices redefine the meaning of workplace. The use of mobile services could be in and outside the workplace. Hedonic elements, such as fun, culture, life style, and hype are key determinants contributing to the usage of mobile commerce applications. The purpose of our article is to discuss and clarify immediate determinants of e-commerce and mobile commerce applications based on the technology acceptance model.


Author(s):  
M. McCord

The Technology Acceptance Model (TAM) (Davis, 1989) measures perceived usefulness and perceived ease of use as predictors of a user’s intent to use computer technology, and their actual usage on the job. The measure first appeared in 1989, in an MIS Quarterly article by Fred Davis and in a coauthored article in Management Science(Davis, 1989; Davis, Bagozzi, & Warshaw, 1989). Extending the Theory of Reasoned Action (Ajzen & Fishbein, 1980) to technology, Perceived usefulness (U) is defined as “the degree to which a person believes a particular system would enhance his or her job performance.” Perceived ease of use (EOU) is defined as “the degree to which a person believes that using a particular system would be free of effort.” ‘Usage intentions’ (BI) was measured through self-predicted future usage and ‘user acceptance’ was measured through self-reported current usage. Although information technology is adopted to improve employee performance, these gains are often lost or diminished by users’ unwilling to accept and use the information system. Davis wanted to understand why users rejected or accepted information technologies, to better predict, explain and increase user acceptance. The TAM model has since become one of the most established models for predicting user acceptance.


2018 ◽  
Vol 14 (3) ◽  
pp. 12-31 ◽  
Author(s):  
Isaac Kofi Mensah

This research article explores the important elements of trust and transparency to the adoption of e-government services. The Technology Acceptance Model was used as the theoretical framework. The data capture and analyses were conducted with SPSS. The results indicate that trust in the internet was a significant predictor of both the intention to use and perceived ease of use (PEOU), but was not significant in predicting perceived usefulness (PU) and the actual use (AU) of e-government services. Trust in the government (TG) was also not significant in determining both the intention to use and PEOU of e-government services. Rather TG had a significant impact on PU and the actual use (AU) of e-government services. Furthermore, perceived transparency was a significant predictor of PU, IU, and AU of e-government services. The implications of these findings on the implementation of e-government are thoroughly discussed.


Sign in / Sign up

Export Citation Format

Share Document