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

Chau, Ngoc Tuan; Deng, Hepu; Tay, Richard

doi:10.4018/jgim.2021010103

Cited by 17 publications

(7 citation statements)

References 90 publications

(175 reference statements)

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“…Chau and others believe that, without taking corporate tax into account, first of all, the size of an enterprise's debt will not affect the value of the enterprise; that is, the financing structure of the enterprise has nothing to do with the value of the enterprise. Secondly, the cost of equity of a debtburdened company is the sum of the cost of equity of a non-debt-burdened company with the same risk and the risk premium, and the risk premium is also determined by the cost of equity, debt financing cost, and risk premium of a non-debt-burdened company; the proportion of property rights of the enterprise is determined [4]. Jwo et al believe that if personal income tax is taken into account, the interest expenses incurred by enterprises due to debt financing will be deducted from the total tax payment, and the effect of the increase in enterprise value will be reduced, and the tax shield of debt will be reduced; the effect is not so obvious [5].…”

Section: Literature Reviewmentioning

confidence: 99%

Financing Efficiency Calculation of Energy Enterprises Based on Internet of Things

Zhang

2022

Journal of Sensors

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In order to conduct a special study on the financing efficiency of a certain industry, the authors propose a method for calculating the financing efficiency of energy enterprises based on the Internet of Things. Combining the DEA method with the Bootstrap method, taking the IoT data of 30 SME boards and 30 energy companies listed on the ChiNext listed in 2010 as a research sample, and using R language and Deap2.1 software, the financing efficiency from 2011 to 2015 is calculated. Experimental results show that from 2011 to 2015, only 28.3% of the enterprises reached the effective state of technical efficiency on average, and the financing efficiency of energy enterprises was generally inefficient. The pure technical efficiency value of the whole enterprise decreases year by year, and its technical efficiency value lower than its scale efficiency is the main reason that its technical efficiency is generally not high.

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Section: Literature Reviewmentioning

confidence: 99%

Financing Efficiency Calculation of Energy Enterprises Based on Internet of Things

Zhang

2022

Journal of Sensors

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“…Prior studies failed to address how low-income earners such as artisans in developing countries are using a wide range of sophisticated mobile devices such as smartphones and tablets for mobile online shopping and buying, as well as for making payments in physical locations (Chau et al, 2021;Faqih & Jaradat, 2015;Pipitwanichakarn & Wongtada, 2020;Tuffour et al, 2018). Secondly, despite Ghana having the world's third-highest mobile phone penetration rate, behind China and Kenya, and being named the fastest-growing mobile money market in Africa by the World Bank over the last five years (Collins, 2021;Ngila, 2021), there is little empirical research on mobile commerce adoption compared to other jurisdictions.…”

Section: Introductionmentioning

confidence: 99%

Adoption of Mobile Commerce Services Among Artisans in Developing Countries

Asampana

Akanferi

Matey

et al. 2022

IJIKM

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Aim/Purpose: This paper aims to analyze how artisans in Ghana are incorporating mobile commerce into their everyday business and how perceived usefulness, perceived ease of use, subjective norms, age, gender, expertise, and educational level affected the adoption and usage of m-commerce. Background: This study integrates well-established theoretical models to create a new conceptual model that ensures a comprehensive mobile commerce adoption survey. Methodology: A cross-sectional survey was conducted to measure the constructs and their relations to test the research model. Contribution: The study’s findings confirmed previous results and produced a new conceptual model for mobile commerce adoption and usage. Findings: Except for gender, perceived ease of use, and subjective norms that did not have specific effects on mobile commerce adoption, age, educational level, perceived usefulness, expertise, attitude, and behavioral intention showed significant effects. Recommendations for Practitioners: First of all, mobile commerce service providers should strategically pay critical attention to customer-centered factors that positively affect the adoption of mobile commerce innovations than focusing exclusively on technology-related issues. Mobile service providers can attract more users if they carefully consider promoting elements like perceived usefulness and perceived ease of use which directly or indirectly affect the individuals’ decision to adopt information technology from consumer perspectives. Second, mobile commerce service providers should strategically focus more on younger individuals since, per the research findings, they are more likely to adopt mobile commerce innovations than the older folks in Ghana. Third, service providers should also devise strategies to retain actual users of m-commerce by promoting elements like behavioral intentions and attitude, which according to the research findings, have a higher predictive power on actual usage of m-commerce. Recommendation for Researchers: The conceptual model developed can be employed by researchers worldwide to analyze technology acceptance research. Impact on Society: The study’s findings suggested that mobile commerce adoption could promote a cashless society that is convenient for making buying things quicker and easier. Future Research: The research sample size could be increased, and also the study could all sixteen regions in Ghana or any other country for a broader representation.

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“…It, therefore, implies that the adoption of m-commerce requires the formulation of networks, coordination with other partners and importantly, sharing of resources with the intent of satisfying the needs of diverse and ever-changing customers of the contemporary technology-driven time (Ghobakhloo et al , 2011). Chau (2021) also found that pressures from customers are essential to adopting m-commerce by the SMEs as such adoption would make the customers feel that their service providers meet their requirements for maintaining a good relationship and possessing the fitness to do business together.…”

Section: Discussion Of Findingsmentioning

confidence: 99%

“…This position has been established by Gangwar et al (2015), who suggested that one of the major pushing factors forcing organizations to adopt IS/IT is competitive pressure. Likewise, Chau et al (2021) argue that SMEs would come under pressure to adopt m-commerce to compete when their competitors have equally adopted similar technologies. Previous empirical studies report a positive and significant relationship between competitive pressure and adoption and diffusion of IT adoption (Alrawabdeh, 2014) such as m-commerce.…”

Section: Pressure From Competitorsmentioning

confidence: 99%

Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach

Salimon

Kareem

Mokhtar

et al. 2021

JSTPM

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Purpose The purpose of this study is to examine the factors that influence Malaysian Small and Medium Enterprises (SMEs) to adopt mobile commerce (m-commerce) by integrating the constructs of Technology Acceptance Model 3 (TAM 3), Universal Theory of Acceptance and Use of Technology 2 and Technology-Organization-Environment model. Though numerous m-commerce adoption (MCA) studies have been conducted, lesser attention is paid to how hedonic motivation (HM) can influence organizational users such as SMEs. This study bridges the gap by integrating the three models to provide a new lens to guide SMEs. Design/methodology/approach To examine the factors that influence the adoption of m-commerce, the researchers collected data from SMEs in Malaysia using an online survey. The sample size of the participants was determined through the available list provided by SME Corp Malaysia. The researchers also used Krejcie and Morgan’s sample size and G * Power techniques to determine that the sample size was appropriate. The data collected were analyzed using partial least square-structural equation modeling. Findings The findings of this study reveal that technological factors (computer self-efficacy [CSE], result demonstrability [RD] and computer anxiety [CA]) positively and significantly influence MCA. Likewise, the organizational/environmental factors (m-commerce knowledge, pressure from trading partners and pressure from competitors) positively and significantly influence MCA. The moderating influence of HM was also achieved on the relationship between CSE and RD. However, the proposed hedonic moderating relationship between CA and the adoption of m-commerce is not significant. Research limitations/implications This study integrates three models to explain the adoption of m-commerce among SMEs in Malaysia and tested the moderating influence of HM. The results obtained better explain the decision by the SMEs to use m-commerce. Originality/value The study critically considered how m-commerce can be adopted by SMEs in Malaysia, which previous studies have largely ignored. Considering this, the study, therefore, advances a new relationship by integrating Technology-organization-environment model with TAM 3 and the moderating influence of HM to explain MCA among SMEs. This paper is one of the few research studies to test the moderating influence of HM in this regard.

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

Cited by 17 publications

References 90 publications

Financing Efficiency Calculation of Energy Enterprises Based on Internet of Things

Financing Efficiency Calculation of Energy Enterprises Based on Internet of Things

Adoption of Mobile Commerce Services Among Artisans in Developing Countries

Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach

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