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Article
Publication date: 7 August 2017

Xusen Cheng, Shixuan Fu, Yajing Han and Alex Zarifis

The purpose of this paper is to investigate the relationship between individual trust of students in computer supported semi-virtual collaboration groups and student’s…

Abstract

Purpose

The purpose of this paper is to investigate the relationship between individual trust of students in computer supported semi-virtual collaboration groups and student’s performance in school.

Design/methodology/approach

Longitudinal questionnaires and interviews are conducted during the case study. By analyzing the data from the questionnaires and the grade earned by the students, the sample students are ranked with respect to the trust level and individual performance. Furthermore, the Wilcoxon signed-rank test is used to compare individual trust level and performance in the computer supported semi-virtual collaborative environment.

Findings

The distribution of an individual’s trust level is roughly consistent with the distribution of the individual’s performance in the collaboration. Besides, the relationship between a student’s trust level and the student’s performance is positively correlated.

Research limitations/implications

This study integrates the issues of trust, school performance, and collaboration in an educational context. Furthermore, the conclusions drawn from this paper extend the literature of multiple disciplines including education, management, and psychology.

Practical implications

The conclusions could apply in the fields of education and management since the analysis revealed the relationship between an individual’s trust level and their performance.

Originality/value

This study contributes to the field of trust and collaboration research with a link to trust development and performance. The study also provides an insight into how to successfully improve the performance of student semi-virtual collaboration groups.

Details

Information Technology & People, vol. 30 no. 3
Type: Research Article
ISSN: 0959-3845

Keywords

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Article
Publication date: 2 November 2020

Shixuan Fu, Xusen Cheng, Ying Bao, Anil Bilgihan and Fevzi Okumus

This study aims to elicit the preferences of potential travelers for different property listings' attributes (online review number, positive valence rate of reviews and…

Abstract

Purpose

This study aims to elicit the preferences of potential travelers for different property listings' attributes (online review number, positive valence rate of reviews and discount strategy) when selecting hotels and peer-to-peer (P2P) accommodation sharing on online booking platforms.

Design/methodology/approach

A discrete choice experiment (DCE) was conducted with 291 respondents with accommodation needs. They were asked to choose between pairs of listings.

Findings

The authors found that when booking accommodation online, complex discount strategies were not determinant both in selecting hotels and P2P accommodations. Positive valence rate of reviews has a higher impact on the selection of traditional hotels than P2P accommodations, while the number of online reviews has a higher impact on the selection of P2P accommodations than traditional hotels. The authors further discuss the effect of each attribute on online accommodation selection in terms of price ranges of the property listings.

Research limitations/implications

The findings provide suggestions for platform operators and product/service providers to improve their marketing strategies and optimize their management efforts.

Originality/value

To the best of the authors’ knowledge, this is one of the first studies that investigate the role of property listings' attributes on the selections between hotels and P2P accommodations. The findings from this research study could be generalized to other online platforms and electronic commerce-related transactions.

Content available
Article
Publication date: 12 July 2021

Xusen Cheng, Ying Bao, Alex Zarifis, Wankun Gong and Jian Mou

Artificial intelligence (AI)-based chatbots have brought unprecedented business potential. This study aims to explore consumers' trust and response to a text-based chatbot…

Abstract

Purpose

Artificial intelligence (AI)-based chatbots have brought unprecedented business potential. This study aims to explore consumers' trust and response to a text-based chatbot in e-commerce, involving the moderating effects of task complexity and chatbot identity disclosure.

Design/methodology/approach

A survey method with 299 useable responses was conducted in this research. This study adopted the ordinary least squares regression to test the hypotheses.

Findings

First, the consumers' perception of both the empathy and friendliness of the chatbot positively impacts their trust in it. Second, task complexity negatively moderates the relationship between friendliness and consumers' trust. Third, disclosure of the text-based chatbot negatively moderates the relationship between empathy and consumers' trust, while it positively moderates the relationship between friendliness and consumers' trust. Fourth, consumers' trust in the chatbot increases their reliance on the chatbot and decreases their resistance to the chatbot in future interactions.

Research limitations/implications

Adopting the stimulus–organism–response (SOR) framework, this study provides important insights on consumers' perception and response to the text-based chatbot. The findings of this research also make suggestions that can increase consumers' positive responses to text-based chatbots.

Originality/value

Extant studies have investigated the effects of automated bots' attributes on consumers' perceptions. However, the boundary conditions of these effects are largely ignored. This research is one of the first attempts to provide a deep understanding of consumers' responses to a chatbot.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

Keywords

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Article
Publication date: 9 July 2020

Tingting Hou, Xusen Cheng and Xiankun Cheng

The purpose of this paper is to explore the trust antecedents and the effect of trust and transaction cost on passengers' e-loyalty in the context of mobile commerce…

Abstract

Purpose

The purpose of this paper is to explore the trust antecedents and the effect of trust and transaction cost on passengers' e-loyalty in the context of mobile commerce enabled ride-sharing.

Design/methodology/approach

A mixed-methods research is adopted to investigate the phenomena of interest. The qualitative study was used to identify the context-specific trust antecedents. The quantitative study investigated the effects of trust and transaction cost on e-loyalty by combining the results of qualitative study.

Findings

Three important context-specific trust antecedents were identified in qualitative study, namely online rating score, service quality and driving skills. The quantitative study indicates that driving skills, explicit cost and implicit cost are positively associated with trust. Trust and implicit cost have direct and positive effects on e-loyalty.

Research limitations/implications

This study contributes to understanding passengers' trust towards drivers in the context of mobile commerce enabled ride-sharing and the effect of trust on e-loyalty by including the transaction cost.

Practical implications

Management to enhance passengers' e-loyalty to ride-sharing might involve the measures to promote trust relationship.

Originality/value

Limited research has explored trust relationship for enhancing e-loyalty in the context of ride-sharing. The current study provides a novel contribution through an exploration of trust antecedents and the effects of transaction cost and trust on e-loyalty. The study has thrown light on the use of mixed-methods design in the research of user behavior in sharing economy.

Details

Information Technology & People, vol. 34 no. 3
Type: Research Article
ISSN: 0959-3845

Keywords

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Article
Publication date: 16 August 2013

Xusen Cheng, Terry Nolan and Linda Macaulay

This paper aims to examine the development of trust during online collaboration. The purpose of the inquiry is to improve the understanding of individual trust development…

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Abstract

Purpose

This paper aims to examine the development of trust during online collaboration. The purpose of the inquiry is to improve the understanding of individual trust development in longitudinal online collaboration teams.

Design/methodology/approach

The paper reveals the conclusion of a longitudinal online collaboration case study of two student cohorts over a two‐year period, where each cohort is in their first year, based on a previous trust research model. However, the study is conducted in a new context through the implementation of online collaboration tools. Data is collected using longitudinal surveys and in‐depth interviews.

Findings

The paper demonstrates that trust development in different online collaboration groups does not follow a particular pattern in this case study. This development is characterised by fluctuation and complexity. Trust development does not attain the ideal state discussed in previous research and trust development is different within each team. The paper provides insight into the complexities of trust development in an online collaboration environment and information system understanding.

Research limitations/implications

The paper demonstrates the findings regarding development features are context‐specific and have not been subjected to testing for replication within other settings. The authors intend this for future research.

Practical implications

The observations will help team leaders to understand changes in trust. It will also aid system developers and designers to consider trust development features in future system design for online collaboration environment and tools.

Originality/value

The paper builds upon a previous trust development model but applies it to the context of online collaboration using student groups to analyse the findings over time.

Details

Information Technology & People, vol. 26 no. 3
Type: Research Article
ISSN: 0959-3845

Keywords

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