Understanding the critical factors for successful  M-commerce adoption

Hsu, Ching Wen; Yeh, Ching Chiang

doi:10.1504/ijmc.2018.10007780

Cited by 10 publications

(20 citation statements)

References 29 publications

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“…SVQ was another important factor, from the IS success model approved, to have a significant influence on the BI to adopt m-commerce. Our results are in accordance of the findings of Moorthy et al (2017) and Hsu and Yeh (2018) who found that m-commerce adoption positively influenced by SVQ. Indeed, customers who perceive using m-commerce as a simple and fast way to find what they want to purchase, are more motivated to adopt mcommerce for different purposes (i.e.…”

Section: Mobile Commerce Adoptionsupporting

confidence: 93%

“…PE plays an important role in mcommerce adoption (Khalifa and Ning Shen, 2008;Zhang et al, 2012). For instance, in Taiwanese banks (Hsu and Yeh, 2018), Malaysia (Hung and Chou, 2014) and China (Sun and Chi, 2017) PE has positively influenced BI towards adopting m-commerce services. (Ajzen, 1988) 1.…”

Section: Performance Expectancymentioning

confidence: 99%

“…In addition to this, habit is more related to automatic behaviour, which is formed by an aggregation of experience, knowledge and skills over time (Venkatesh et al, 2012). Once users create a habit, they perform the behaviour automatically (Tarhini et al, 2015;Hsu and Yeh, 2018). However, it requires a specific level of practice (Venkatesh et al, 2012;).…”

Section: Habitmentioning

confidence: 99%

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An analysis of the factors affecting mobile commerce adoption in developing countries

Tarhini

Alalwan

Shammout

et al. 2019

RIBS

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Purpose This study aims to investigate the factors that may hinder or facilitate consumers’ adoption of mobile-commerce (m-commerce) activities in the context of developing countries exemplified here by Oman. Design/methodology/approach A conceptual model was developed through integrating factors from UTAUT2 (performance expectancy, expectancy effort, social influence, facilitating conditions, hedonic motivation, price value, habit and self-efficacy) and SERVQUAL (system quality, service quality and information quality). Data were collected from 530 Omani m-commerce users through a cross-sectional survey. Findings The results of the structural equation modelling showed that consumers’ behavioural intention (BI) towards m-commerce adoption was significantly influenced by information quality, habit, performance expectancy, trust, hedonic motivation, service quality, price value and facilitating conditions, in their order of influencing strength, and explained 65.5 per cent of the variance in BI. Unexpectedly, effort expectancy, social influence, self-efficacy and system quality had no significant effect on BI. Practical implications This study will explain the currently relatively low penetration rate of m-commerce adoption in Oman, which will help local m-commerce businesses to develop the right organizational strategies, especially related to marketing strategies and developing mobile applications, which will draw the attention of many users. Originality/value This is one of the few studies that integrates UTAUT2 with SERVQUAL and tests the proposed model in non-Western cultural contexts. Specifically, in contrast to previous studies, diversity of individuals’ acceptance behaviour is examined in Oman.

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Section: Mobile Commerce Adoptionsupporting

confidence: 93%

Section: Performance Expectancymentioning

confidence: 99%

Section: Habitmentioning

confidence: 99%

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An analysis of the factors affecting mobile commerce adoption in developing countries

Tarhini

Alalwan

Shammout

et al. 2019

RIBS

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“…An organization or individual business person can decide to take no action, and this can only apply when there are no cost benefits associated with the procedure (Hsu & Yeh, 2018). This is a dangerous move by an organization, and often taken up by small firms.…”

Section: Company Perspectivementioning

confidence: 99%

Risk Management of Mobile Commerce Using Social Networks in Jordan

Almahameed¹,

Jarar²,

Alabaddi³

et al. 2019

theijbm

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Risk Management of Mobile Commerce Using Social Networks in Jordan 1. Introduction Mobile commerce, commonly regarded as m-commerce is currently becoming important for individuals and companies alike. Indeed, according to Rana, Barnard, Baabdullah, Rees & Roderick (2019), 75% of smartphone users often check product and service prices, while 42% made purchases using their phones through social networks. This has led to a different move by organizations who currently desire to increase their advertising budgets using different social media networks to reach the increasing number of users. Mobile retailing coupled with other wireless business operations is providing another revolution in the world of business. This growth has been fueled by the rapid development of smart phones around the globe. Technological advancements have led to new business markets, and this has changed the traditional way of marketing. Today, online marketing and advertising have become paramount for most business operations whether they are small or large. With the advent of social networking sites, the relationships between the customer and their business providers have changed drastically. Businesses are now forced to deal with their customers' needs and demands in a different unique way while ensuring convenience and overall satisfaction. Businesses can easily use their customer behaviors through such sites to provide suitable services and products to other potential clients. This is done by collecting individual data which is later analyzed to provide relevant information on customer demographics, needs, and requirements. Research indicates that individuals currently take more time on different social networks when compared to other activities like e-mail. The popularity of different social networks and the increased usage of such networks by users and business owners indicate a positive correlation that leads to better business operations between the two groups. Social networks usage is estimated to be around 900 billion and 1.3 trillion dollars (Hsu & Yeh, 2018). Despite the increased use of social networks through mobile commerce by individuals and organizations the technology carries various risks, and these are often greater when compared to environments that allow physical shopping.

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“…However, it has been observed that retailing is shifting from the multichannel approach to omnichannel approach because of the introduction of advanced online channels and new digital channels like mobile channels. Consequently, there is a growing number of research studies which investigate mobile commerce, mobile marketing, and social commerce [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Chronotypes’ Task-Technology Fit for Search and Purchase in Omnichannel Context

Haider¹,

Zhuang²,

Hashmi³

2019

Mobile Information Systems

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Advances in technology have led to a spurt in tech-savvy consumers displaying increasingly complex behavior. In the past, consumers concluded their search and purchases at a single physical store. Nowadays, however, they possess a number of digital devices (desktops and/or mobiles) through which they can switch channels seamlessly to search for information and make a purchase. There are very few studies that investigate desktop and mobile channels separately; this is perhaps the first study that examines the effect of chronotypes (evening- and morning-type individuals) on a sample of Chinese university students using online and mobile channels in the omnichannel process. The results from a sample of 311 digital shoppers (desktops and/or mobiles) confirm that the mobile channel offers greater task-technology fit to evening-type respondents and desktop channels present better task-technology fit to morning-type respondents to engage in the omnichannel process. Furthermore, this study discussed contributions and insights for managers to develop an effective omnichannel strategy.

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Understanding the critical factors for successful M-commerce adoption

Cited by 10 publications

References 29 publications

An analysis of the factors affecting mobile commerce adoption in developing countries

An analysis of the factors affecting mobile commerce adoption in developing countries

Risk Management of Mobile Commerce Using Social Networks in Jordan

Chronotypes’ Task-Technology Fit for Search and Purchase in Omnichannel Context

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