scholarly journals Critical determinants for mobile commerce adoption in Vietnamese small and medium-sized enterprises

2020 ◽  
Vol 36 (5-6) ◽  
pp. 456-487
Author(s):  
Ngoc Tuan Chau ◽  
Hepu Deng ◽  
Richard Tay
Keyword(s):  
Mobile Commerce ◽  
Mobile Commerce Adoption

scholarly journals A Perception-Based Model for Mobile Commerce Adoption in Vietnamese Small and Medium-Sized Enterprises

2021 ◽  
Vol 29 (1) ◽  
pp. 44-67
Author(s):  
Ngoc Tuan Chau ◽  
Hepu Deng ◽  
Richard Tay
Keyword(s):  
Developing Countries ◽  
Conceptual Model ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Mobile Commerce ◽  
Organizational Readiness ◽  
Equation Modelling ◽  
Perceived Security ◽  
Mobile Commerce Adoption ◽  
And Diffusion

This paper investigates the critical determinants for the adoption of mobile commerce (m-commerce) in Vietnamese small and medium-sized enterprises (SMEs) from the perspective of managers. A perception-based conceptual model is developed with respect to the technology-organization-environment framework. The conceptual model is then tested and validated using structural equation modelling on the data collected from 513 SMEs in Vietnam. The study shows that perceived benefits, perceived compatibility, perceived security, perceived organizational readiness, and perceived customer pressures are critical for the adoption of m-commerce. As the first study on the critical determinants for m-commerce adoption in Vietnam, these findings are useful for SME managers as well as policymakers in designing policies as strategies to promote the wide development and diffusion of m-commerce in SMEs in Vietnam and other developing countries.

Mobile Commerce Applications and Adoption

2009 ◽  
pp. 1593-1601 ◽  
Author(s):  
Krassie Petrova
Keyword(s):  
Customer Service ◽  
Customer Value ◽  
Reference Model ◽  
Mobile Services ◽  
Mobile Commerce ◽  
Mobile Banking ◽  
High Penetration ◽  
Mobile Coupons ◽  
Schedule Change ◽  
Mobile Commerce Adoption

The potential advantages of mobile commerce applications have been discussed extensively in the recent literature, with many industries offering mobile services. Examples from the financial sector include instant funds transfer (mobile banking) and share trading (mobile brokerage). Commuter services such as sending schedule change alerts or using a mobile phone to pay for parking have become widespread. Applications based on the location of the user (e.g., offering mobile coupons to customers in the vicinity of a shop or a restaurant) are also being trialled (Barnes, 2002; Siau, Lim, & Shen, 2001; Varshney, Vetter, & Kalakota, 2000). Despite the potential benefits (for example, improved customer service) mobile commerce applications have not been widely adopted across business sectors. Mobile banking illustrates the point: initially, seen as the “killer application” of mobile commerce (Kannan, Chang, & Whinston, 2001), it has now been termed a “dead end” (Semrau & Kraiss, 2001). It has also been classified as an application which has not yet matured (Mallat, Rooi, & Tuunainen, 2004). However, innovative applications continue to emerge, for example, breaking news alerts (CNN, n.d.), and a mobile tutoring service (Butte, 2004). It has become important therefore to identify the determinants of mobile commerce adoption and the emerging adoption patterns. A significant number of results in this area have been reported in the literature. Recent examples include studies of mobile services adoption in areas characterized by relatively high penetration of mobile devices—such as Denmark (Constantiou, Damsgaard, & Knutsen, 2004), Singapore (Samtani, Leow, Lim, & Goh, 2004), and Finland (Carlsson, Hyvonen, Repo, & Walden, 2005). The identified drivers and inhibitors of mobile commerce adoption can be broadly classified as factors related to mobile infrastructure access, and factors relating to perceived consumer value. This article proposes a mobile commerce reference model which incorporates both infrastructure access and customer value and can be used to formulate research questions related to mobile commerce adoption. The remainder of the article is organized as follows: first, mobile commerce is defined and compared to electronic commerce. The next section introduces a mobile commerce reference model and discusses mobile commerce adoption. The article continues with a review of future trends and a brief conclusion.

A meta-analysis of mobile commerce adoption and the moderating effect of culture

2012 ◽  
Vol 28 (5) ◽  
pp. 1902-1911 ◽  
Author(s):  
Liyi Zhang ◽  
Jing Zhu ◽  
Qihua Liu
Keyword(s):  
Meta Analysis ◽  
Mobile Commerce ◽  
Moderating Effect ◽  
Mobile Commerce Adoption

Mobile Commerce Adoption in Spain

2009 ◽  
pp. 282-292
Author(s):  
Joaquin Aldas-Manzano ◽  
Carla Ruiz-Mafe ◽  
Silvia Sanz-Blas
Keyword(s):  
Empirical Study ◽  
Mobile Commerce ◽  
Adoption Decision ◽  
Factors Influencing ◽  
Mobile Shopping ◽  
Depth Study ◽  
Key Drivers ◽  
Mobile Commerce Adoption ◽  
Insight Into ◽  
Mobile Use

The chapter aims to present an in-depth study of the factors influencing mobile commerce adoption. The authors analyze the influence of Mobile use experience, ICT ownership, Mobile affinity and Mobile Commerce compatibility in the m-commerce adoption decision. After identifying the key drivers of Mobile shopping adoption, the second part of the chapter presents an empirical study of the Spanish market. Results based on a sample of 470 Mobile users show that Mobile affinity, ICT ownership, and m-shopping compatibility are positive key drivers of M-shopping adoption. Mobile use experience has no significant influence on m-shopping adoption. This chapter will give managers and students insight into the Mobile Commerce industry and the different factors that influence m-commerce adoption. In addition, these factors can be applied to the specific context of the Spanish market.

Mobile Commerce Adoption Barriers

2007 ◽  
pp. 461-465 ◽  
Author(s):  
P. Mahatanankoon
Keyword(s):  
Mobile Commerce ◽  
Research Framework ◽  
Literature Reviews ◽  
Mobile Commerce Adoption

The purpose of this article is to identify and explain different socio-psychological drivers and barriers affecting consumers’ motivations to use mobile commerce applications. These determinants are based on our literature reviews and exploratory consumer-based research. We later suggest a research framework to which researchers and practitioners can refer.

Mobile Commerce Applications and Adoption

2011 ◽  
pp. 766-771 ◽  
Author(s):  
Krassie Petrova
Keyword(s):  
Customer Service ◽  
Customer Value ◽  
Reference Model ◽  
Mobile Services ◽  
Mobile Commerce ◽  
Mobile Banking ◽  
High Penetration ◽  
Mobile Coupons ◽  
Schedule Change ◽  
Mobile Commerce Adoption

The potential advantages of mobile commerce applications have been discussed extensively in the recent literature, with many industries offering mobile services. Examples from the financial sector include instant funds transfer (mobile banking) and share trading (mobile brokerage). Commuter services such as sending schedule change alerts or using a mobile phone to pay for parking have become widespread. Applications based on the location of the user (e.g., offering mobile coupons to customers in the vicinity of a shop or a restaurant) are also being trialled (Barnes, 2002; Siau, Lim, & Shen, 2001; Varshney, Vetter, & Kalakota, 2000). Despite the potential benefits (for example, improved customer service) mobile commerce applications have not been widely adopted across business sectors. Mobile banking illustrates the point: initially, seen as the “killer application” of mobile commerce (Kannan, Chang, & Whinston, 2001), it has now been termed a “dead end” (Semrau & Kraiss, 2001). It has also been classified as an application which has not yet matured (Mallat, Rooi, & Tuunainen, 2004). However, innovative applications continue to emerge, for example, breaking news alerts (CNN, n.d.), and a mobile tutoring service (Butte, 2004). It has become important therefore to identify the determinants of mobile commerce adoption and the emerging adoption patterns. A significant number of results in this area have been reported in the literature. Recent examples include studies of mobile services adoption in areas characterized by relatively high penetration of mobile devices—such as Denmark (Constantiou, Damsgaard, & Knutsen, 2004), Singapore (Samtani, Leow, Lim, & Goh, 2004), and Finland (Carlsson, Hyvonen, Repo, & Walden, 2005). The identified drivers and inhibitors of mobile commerce adoption can be broadly classified as factors related to mobile infrastructure access, and factors relating to perceived consumer value. This article proposes a mobile commerce reference model which incorporates both infrastructure access and customer value and can be used to formulate research questions related to mobile commerce adoption. The remainder of the article is organized as follows: first, mobile commerce is defined and compared to electronic commerce. The next section introduces a mobile commerce reference model and discusses mobile commerce adoption. The article continues with a review of future trends and a brief conclusion.

Evaluating the Critical Determinants for Mobile Commerce Adoption in SMEs in Developing Countries

2020 ◽  
pp. 114-142
Author(s):  
Ngoc Tuan Chau ◽  
Hepu Deng
Keyword(s):  
Developing Countries ◽  
Multiple Regression ◽  
Innovation Diffusion ◽  
Integrated Model ◽  
Mobile Commerce ◽  
Related Literature ◽  
Four Dimensions ◽  
Mobile Commerce Adoption

This chapter presents a review of the related literature on organizational mobile commerce (m-commerce) adoption, leading to the development of an integrated model for evaluating the critical determinants of m-commerce adoption in small and medium-sized enterprises (SMEs) in developing countries. Grounded in the innovation diffusion literature and the extension of the technology-organization-environment framework, the model, integrates technological, organizational, environmental, and managerial factors holistically for better understanding m-commerce adoption in a developing context. Eleven hypotheses are proposed and tested using multiple regression with the data collected from a survey with SMEs' managers in Vietnam. The results confirm the significance of factors in the above four dimensions. These findings provide the managers of SMEs with useful insights on how to improve the adoption of m-commerce in SMEs. These are also useful for policymakers in designing policies that promote the wide adoption of m-commerce in SMEs in the context of developing countries.

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