Trust Development in Globally Distributed Collaboration: A Case of U.S. and Chinese Mixed Teams

Cheng, Xusen; Fu, Shixuan; Druckenmiller, Douglas A.

doi:10.1080/07421222.2016.1267521

Cited by 74 publications

(51 citation statements)

References 73 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Several aspects of collaboration have been studied, such as team collaboration (Cheng, Yin, Azadegan, & Kolfschoten, 2016) and collaborative learning (Cheng, Fu, & Druckenmiller, 2016). In the context of government, Harrison et al (2012) define collaboration as the sharing of responsibility and authority for decisions on operations, policies or actions of government for more than one set of stakeholders.…”

Section: Collaborative Governancementioning

confidence: 99%

Increasing collaboration and participation in smart city governance: a cross-case analysis of smart city initiatives

Pereira

Cunha

Lampoltshammer

et al. 2017

Information Technology for Development

279

146

View full text Add to dashboard Cite

This study addresses the concept of smart governance in the context of smart cities, with a focus on analyzing the phenomenon of smart collaboration. Relying on the existing collaboration and participation concepts in the smart city domain, an empirical analysis was undertaken of how ICT can promote collaborative governance and increase the participation and engagement in government. The multiple case studies focus on three cities in Brazil that run municipal operations centers in an effort to "become smarter": Rio de Janeiro, Porto Alegre, and Belo Horizonte. Interviews with directors, managers, and technicians shed light on the contribution that ICT makes in promoting an environment of collaboration in the government. The findings have revealed that ICT has an important role in supporting information sharing and integration between government agencies and external stakeholders, including citizens, especially in developing countries.

show abstract

Section: Collaborative Governancementioning

confidence: 99%

Increasing collaboration and participation in smart city governance: a cross-case analysis of smart city initiatives

Pereira

Cunha

Lampoltshammer

et al. 2017

Information Technology for Development

279

146

View full text Add to dashboard Cite

show abstract

“…Considering the approach used in other similar studies [29], design science research [30] was chosen as the research methodology. Design science research (DSR) method is a process of solving problems [31], which consists of 6 steps including problem recognition and incentive, target recognition, design, presentation, evaluation and communication feedback [32] [33].…”

Section: Methodsmentioning

confidence: 99%

Exploring Evaluation Factors and Framework for the Object of Automated Trading System

Huang¹,

Cheng²,

Hou³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

Self Cite

View full text Add to dashboard Cite

Automated trading system (ATS) is a computer program that combines different trading rules to find optimal trading opportunities. The objects of ATS, which are financial assets, need evaluation because that is of great significance for stakeholders and market orders. From the perspectives of dealers, agents, external environment, and objects themselves, this study explored factors in evaluating and choosing the object of ATS. Based on design science research (DSR), we presented a preliminary evaluation framework and conducted semi-structured interviews with twelve trading participants engaged in different occupations. By analyzing the data collected, we validated eight factors from literatures and found four new factors and fifty-four sub-factors. Additionally, this paper developed a relationship model of factors. The results could be used in future work to explore and validate more evaluation factors by using data mining.

show abstract

“…Previous studies have found that trust antecedents vary in different types of business models and many factors have been proved to influence trust [4] [5]. Studies about trust antecedents based on the new business model, ridesharing, are limited, and they have not defined the evolving process of trust over time [6]. Nevertheless, trust building is a dynamic process and trust will be influenced by many factors as time goes by.…”

Section: Introductionmentioning

confidence: 99%

Investigating Antecedents and Development of Trust in Ridesharing Platform: A Case from China

Bao¹,

Cheng²,

Druckenmiller³

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

Self Cite

View full text Add to dashboard Cite

Trust is playing an important role in the sharing economy-driven business. However, little research has been conducted measuring trust as a dynamic process in the sharing economy era. This research is a preliminary exploration investigating trust antecedents and the dynamic development of clients' trust in ridesharing platforms. We used 102 two-stage interviews collected from clients of a major Chinese ridesharing platform. Then we conducted a qualitative content analysis and proposed a theoretical model based on literature and data analysis. We found that antecedents of trust in two stages are different. Personality-based beliefs and cognition-based beliefs are the main antecedents of initial trust, while knowledge-based beliefs, institution-based beliefs, and calculus-based beliefs are the main antecedents of ongoing trust. These findings could help us understand how trust evolves over time and enable us to explore several viewpoints on ridesharing platforms.

show abstract

Trust Development in Globally Distributed Collaboration: A Case of U.S. and Chinese Mixed Teams

Cited by 74 publications

References 73 publications

Increasing collaboration and participation in smart city governance: a cross-case analysis of smart city initiatives

Increasing collaboration and participation in smart city governance: a cross-case analysis of smart city initiatives

Exploring Evaluation Factors and Framework for the Object of Automated Trading System

Investigating Antecedents and Development of Trust in Ridesharing Platform: A Case from China

Contact Info

Product

Resources

About