Research on Trust Evaluation Model for Mobile Commerce Based on Structural Equation Modeling

Piao, Chunhui; Wang, Shuzhen; Yang, Fengtao

doi:10.1109/icebe.2012.14

Cited by 7 publications

(27 citation statements)

References 16 publications

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“…Recently, theory framework of influence factors of consumers' trust in mobile commerce has gained much attention. Then a questionnaire on trust evaluation of mobile commerce is designed for reliability analysis and validity analysis on the trust evaluation scale respectively [7,8,9]. Due to lack of punishment to malicious recommendation from referee (nodes), enormous subjective malicious recommendation nodes are remained in network and they are searched by the next criminal opportunity constantly.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy trust evaluation model in mobile commerce

Chen¹,

Cai²,

Peng³

2015

Proceedings of the 2015 International Conference on Power Electronics and Energy Engineering

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With the quick development of mobile commerce, lacking of trust and security is becoming a big obstacle to the development of the mobile commerce. In this paper, the reliability and security problem of mobile commerce, especially trust evaluation model in its operation are studied, and a trust evaluation model based on fuzzy mathematics is proposed. Then in order to gain a comprehensive trust value of the whole mobile commerce, the fuzzy recommend and combined algorithm is presented. Lastly the proposed model is verified by an example.

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Section: Introductionmentioning

confidence: 99%

A fuzzy trust evaluation model in mobile commerce

Chen¹,

Cai²,

Peng³

2015

Proceedings of the 2015 International Conference on Power Electronics and Energy Engineering

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“…In m-commerce, trust propensity or trust disposition means consumers feel safe, and hope or tend to depend on mobile sellers (Meng et al, 2008;Piao et al, 2012). In addition, propensity to trust is empirically found to have a significant influence on consumer trust in m-payments Guangming & Yuzhong, 2011;Kim et al, 2010;Piao et al, 2012). Based on the given discussion, trust in m-payments may be reliant on propensity to trust, thus propensity to trust was included in the current research.…”

Section: Consumer's Characteristicsmentioning

confidence: 96%

“…Many studies have linked consumer trust and m-commerce adoption, and indicated that there is a strong relationship between trust in m-payment and its adoption, but without deep understanding of how to achieve this trust and what the factors are that influence it Aw, Nor, Abu Shanab, & Sutanonpaiboond, 2009;Chandra et al, 2010;Eze, Gan, Ademu, & Tella, 2008;Gerpott & Kornmeier, 2009, Hollingswoth & Dembla, 2013Piao et al, 2012;Wong & Hsu, 2008;Xin et al, 2013). In fact, trust is often studied as one component of m-payment adoption factors rather than being studied independently.…”

Section: Importance Of Trust In M-paymentsmentioning

confidence: 99%

“…In other words, propensity to trust is considered as a personal psychological value that can greatly influence a consumer"s trust in e-payments (Chen & Dhillon, 2003;Gefen, 2000;Kim et al, 2010). In m-commerce, trust propensity or trust disposition means consumers feel safe, and hope or tend to depend on mobile sellers (Meng et al, 2008;Piao et al, 2012). In addition, propensity to trust is empirically found to have a significant influence on consumer trust in m-payments Guangming & Yuzhong, 2011;Kim et al, 2010;Piao et al, 2012).…”

Section: Consumer's Characteristicsmentioning

confidence: 99%

“…In summary, many consumers are reluctant to be involved in m-commerce transactions such as selling and buying as they fear that their personal and financial details might be stolen by hackers and other cyber criminals . The encryption of transaction data transmitted through mobile networks and WAP services that control unauthorized access and maintain data security are another issue in the security of m-commerce (Piao et al, 2012). In addition, mcommerce security concerns are similar to those in e-commerce; involving authentication (data exchanged during the payment restricted to legitimate users only), confidentiality (data exchanged during the payment read and understood only by intended users), non-repudiation (participants of the transaction unable to deny their participation in the payment), and data integrity (accurate data exchanged during the payment) (Amoroso & Magnier-Watanabe, 2011).…”

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confidence: 99%

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Factors Influencing Consumer Trust in Mobile Payments in the United Arab Emirates

Shuhaiber¹

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<p>While mobile payments have been adopted by a huge number of businesses, the body of knowledge regarding user trust in mobile payments shows that trust is a major issue in its adoption and development. The purpose of this study was to better understand the factors that influence consumer trust in mobile payments in one significant country in this region; The United Arab Emirates (UAE) as the research region. The UAE is one of the leading economies in the Middle East Arab region, and mobile technology is well advanced and widely utilised. An analysis of relevant literature provided the basis for the development of a conceptual model. The model, classified into five logical groups (consumer characteristics, environmental influences, provider characteristics, perceived risks and mobile-device characteristics), was further explored, validated, extended and tested through a mixed-method methodology, combining both qualitative (phase one) and quantitative (phase two) approaches, with semi-structured interviewing in exploratory focus groups and an online survey being used respectively. The findings of the qualitative phase were used to clarify the appropriateness of the preliminary Consumer Trust in Mobile Payments (CTMP) model, which was accordingly revised and extended. The second phase (the quantitative approach) was based on a survey of 340 respondents in the UAE. The collected data were analysed by using Structural Equation Modelling with the Partial Least Squares (PLS-SEM) approach. Many of the factors in the qualitative CTMP model were successfully validated and statistically significant. The resulting, quantitatively weighted CTMP model shows that users‟ awareness and provider‟s trustworthiness are the most positive influential factor, followed by perceive security levels and device-design suitability. Customers‟ uncertainty avoidance, on the other hand, is the most negatively influential factor on trust, followed by perceived privacy risks associated with m-payments. The model contributes towards better acceptance and usage of mobile payments. The findings also provide a number of theoretical implications for academic research and useful information for practitioners.</p>

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A Fuzzy Trust Measurement Method for Mobile E-Commerce

Cai¹,

Luo²

2015

IJEPR

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Today, lacking of trust and security is becoming a big obstacle to the application and postulation of the mobile commerce. Here the trust formation and operation of mobile commerce system are studied based on a fuzzy trust management model. Firstly, a trust evaluation model based on fuzzy mathematics is proposed, and related evaluated index system of mobile commerce system is built. Secondly, the fuzzy recommend and combined algorithm are presented, in order to gain a comprehensive trust value of the whole mobile commerce system. Thirdly, giving the fuzzy definition of nodes trust, the model can calculate local trust with fuzzy inference and obtain recommends from neighbor nodes. Lastly the proposed model is verified by an example. The proposed fuzzy trust management model can help us manage the security and reliability of mobile commerce system regardless of differences in enterprise culture and business types.

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Research on Trust Evaluation Model for Mobile Commerce Based on Structural Equation Modeling

Cited by 7 publications

References 16 publications

A fuzzy trust evaluation model in mobile commerce

A fuzzy trust evaluation model in mobile commerce

Factors Influencing Consumer Trust in Mobile Payments in the United Arab Emirates

A Fuzzy Trust Measurement Method for Mobile E-Commerce

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