A cross-cultural study on the mobile commerce acceptance model

Hung, Chia-Liang; Chou, Jerome Chih-Lung; Chung, Roger Yat‐Nork; Dong, Tse-Ping

doi:10.1109/icmit.2010.5492775

Cited by 11 publications

(9 citation statements)

References 14 publications

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“…In other words, with increasing individual's collectivism, perceived ease of use is no longer the main determinant of perceived usefulness. This result contradicts with previous studies (Hung et al, 2010;Zhang et al, 2012). Further, the findings confirm the positive moderation of ICAIL on the relationship between perceived usefulness and behavioral intention.…”

Section: Discussion Of Findingscontrasting

confidence: 81%

“…For example, a conceptual model was developed by modifying the TAM model (Zhang et al, 2012), the results of the study confirmed that culture dimensions had specific moderating effects on m-commerce adoption. Similar results were obtained by Hung et al (2010). In conclusion, too little attention has been paid to examine the moderating role of consumer demographics and cultural characteristics in these studies.…”

Section: Mobile Commerce and Tamsupporting

confidence: 87%

“…Second, a review of literature on m-commerce adoptionrelated studies clearly revealed that the recent researches have predominantly depended on classical TAM model as a theoretical framework, with some extensions to its basic structure (Deng et al, 2010;Hung et al, 2010;Yang, 2010;Jiang and Deng, 2011;Phan and Daim, 2011;Chong et al, 2012;Zarmpou et al, 2012;Zhang et al, 2012;Chong, 2013;Lai and Lai, 2013). However, according to many prominent researchers TAM has its own limitations (Clemes et al, 2014).…”

Section: Introductionmentioning

confidence: 97%

See 2 more Smart Citations

Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective

Faqih

Jaradat

2015

Journal of Retailing and Consumer Services

318

191

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Section: Discussion Of Findingscontrasting

confidence: 81%

Section: Mobile Commerce and Tamsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 97%

See 1 more Smart Citation

Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective

Faqih

Jaradat

2015

Journal of Retailing and Consumer Services

318

191

View full text Add to dashboard Cite

“…Among them, TAM is a research model widely used in consumer acceptance [37,38]. Many articles about m-commerce consumer acceptance extended TAM from many perspectives, such as cross-cutural, mobile shopping application, quality of the service and so on [39,40]. Based on the above, we can draw a conclusion that technology and mobile consumer behavior become hot research topic due to the rapid development of wireless Internet technology and huge mobile user market.…”

Section: Mapping and Analysis On Abstractmentioning

confidence: 91%

The Knowledge Mapping of Mobile Commerce Research: A Visual Analysis Based on I-Model

2019

Sustainability

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With the advance of 5G communication technologies and Internet+ strategy, mobile commerce has experienced rapid growth and needs urgent attention from researchers. It is the aim of this article to analyze the literature on mobile commerce to address the following question: With the wide application of artificial intelligence and big data, what are the latest technology, models and problems in the background of the new era that researchers and practitioners need to understand in order to grasp the research frontier in this field quickly? Therefore, to achieve these objectives, this paper reviews 1130 m-commerce articles with 25,502 associated references from the SCI-EXPANDED, SSCI, CPCI-S, CPCI-SSH database and develops a framework of m-commerce value by analyzing the most influential authors, institutions, countries, journals and keywords in m-commerce. We apply three types of knowledge mapping to our study—cluster view, timezone view and timeline view. Frequency statistics, clustering coefficient as well as centrality calculation are employed to analyze by CiteSpace. We use the strength of citation bursts to analyze keywords and put result into the I-Modelwhich provide an important framework for classifying m-commerce activities and theories. In this study, we explore the knowledge structure, development and the future trend of mobile commerce for researchers. We identify the main technology and models to improve customer satisfaction and adoption behavior in the background of the new era which provide decision support for practitioners. Compared with the existing literature reviews of mobile commerce, we make a set of knowledge maps to show the future trend of mobile commerce and analyze visual results based on I-model. It is the first study to present the major clusters to reveal their associated intellectual bases and research fronts.

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“…They draw their results from survey data from Kazakhstan, Morocco and Singapore. Hung et al [24] model Hofstede's five cultural dimensions as moderators between perceived ease of use as well as perceived usefulness and intention to use and find uncertainty avoidance, individualism and long-term orientation as the most influential ones. Their study focuses on Malaysia and Taiwan.…”

Section: Related Researchmentioning

confidence: 99%