A multidimensional trust formation model in B-to-C e-commerce: a conceptual framework and content analyses of academia/practitioner perspectives

Kim, Dan J.; Song, Yong I.; Braynov, Sviatoslav; Rao, H. Raghav

doi:10.1016/j.dss.2004.01.006

Cited by 193 publications

(94 citation statements)

References 50 publications

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“…CATPAC is a program that can read any text and summarize its main ideas (www.galileoco.com). This self-organizing artificial neural network computer program has been optimized to read and analyze large amounts of text (Kim et al, 2005). By reading the text, it can produce a lot of outputs, such as determining the most frequently used symbols and words, identifying the patterns of similarity based on those words' co-occurrences, and providing other different cluster analysis.…”

Section: 3mentioning

confidence: 99%

Twitter as a Rapid Response News Service: An Exploration in the Context of the 2008 China Earthquake

Rao

2010

E J Info Sys Dev Countries

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Micro-blogging websites (such as twitter), a new information channel, was widely reported as outperforming the mainstream information channels in numerous ways during the massive 2008 China earthquake, including beating the first official mainstream news released from the USGS to report the initial tremor (BBC May 12 2008). According to Twitter.com, there have been noticeable spikes of twitter usage during disasters and other large events, serving as an extremely powerful and effective fast response news service. This raises some important exploratory questions: What kind of information can micro-blogging provide regarding disaster news? Of what quality is the information provided by micro-blogging? Can the modern communication tool -micro-blogging, replace the mainstream media information channel or merely supplement it in distributing disaster news? How do twitter (and other micro-blogging services) compare with the mainstream information channels during the different timeframes in terms of information quality and collective intelligence? For this research paper, we will use Twitter as a proxy for micro-blogging in general, the mainstream media information channel as the benchmark, and the massive 2008 Sichuan earthquake as our research subject. At the time of the Sichuan earthquake, Twitter was universally available in the China mainland. The aim of this exploratory study is to shed some light on how microblogging can provide integrated and speedy information regarding disaster news.

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Section: 3mentioning

confidence: 99%

Twitter as a Rapid Response News Service: An Exploration in the Context of the 2008 China Earthquake

Rao

2010

E J Info Sys Dev Countries

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“…Appropriate technology may improve working conditions, enhance the motivation of the employees to provide good service, and increase the success rate of the service process, thereby leading to greater confidence in the provider. Logically speaking, when customers are satisfied with their TBSE, they are more likely to be committed to the service providers (Kim and Prabhakar, 2004;Kim et al, 2005). In other words, if a customer is satisfied with the TBSE, they are more likely to trust the provider, suggesting that TBSE leads to confidence benefits.…”

Section: Insert Figure 1 Herementioning

confidence: 99%

How do Service Encounters Impact on Relationship Benefits

Wang¹,

Hsu²

2011

IBR

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The literature has generally held that interpersonal-based service encounters strongly affect the relationship benefits, though technology-based service encounters are increasing importance. However, there has been no systematic comparison of the impact of two service encounters on relationship benefits. We test hypotheses about the respective effects of both service encounters on different relationship benefits in two services industries. The results provide support for the proposal model and indicate that there are higher special treatment benefits when the technology-based service encounter is higher. In addition, the interpersonal-based service encounter has significant positive effect on the confidence benefit. However, the technology-based service encounter leads to significant negative effect on the social benefit.

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“…Trust has been recognized as a critical success factor in e-commerce presented by Lee and Turban (2001), Kim et al (2003) and Gefen and Straub (2004). Mayer et al (1995) define that trust is "the willingness of a party to be vulnerable to the actions of another party based on the expectation that the other will perform a particular action important to the trustor, irrespective of the ability to monitor or control that other party".…”

Section: Trust In Vendors/service Providers and Trust In Virtual Commmentioning

confidence: 99%

Towards Trust and Trust Building in a Selected Cloud Gaming Virtual Community

Yao¹,

Chang

2014

International Journal of Organizational and Collective Intelligence

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A multidimensional trust formation model in B-to-C e-commerce: a conceptual framework and content analyses of academia/practitioner perspectives

Cited by 193 publications

References 50 publications

Twitter as a Rapid Response News Service: An Exploration in the Context of the 2008 China Earthquake

Twitter as a Rapid Response News Service: An Exploration in the Context of the 2008 China Earthquake

How do Service Encounters Impact on Relationship Benefits

Towards Trust and Trust Building in a Selected Cloud Gaming Virtual Community

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