ISSN 1671-3710
CN 11-4766/R

心理科学进展 ›› 2021, Vol. 29 ›› Issue (10): 1711-1723.doi: 10.3724/SP.J.1042.2021.01711

• 研究构想 •    下一篇


徐禕(), 刘艺璇   

  1. 上海交通大学上海交大-南加州大学文化创意产业学院, 上海 200241
  • 收稿日期:2020-09-30 出版日期:2021-10-15 发布日期:2021-08-23
  • 通讯作者: 徐禕
  • 基金资助:

The impact of trust in technology and trust in leadership on the adoption of new technology from employee's perspective

XU Yi(), LIU Yixuan   

  1. USC-SJTU Institute of Cultural and Creative Industry, Shanghai Jiao Tong University, Shanghai 200241, China
  • Received:2020-09-30 Online:2021-10-15 Published:2021-08-23
  • Contact: XU Yi


在当今知识经济时代, 新技术的采用对于企业提高核心竞争力至关重要。如何使员工面对新技术带来的风险和不确定性, 信任并接受新技术是企业新技术推广的重要问题。现今学界虽已关注到信任在新技术采用这一过程中的积极作用, 但仍缺乏相关的理论和实证研究, 特别是对于其内在心理机制的解释。为弥补这一研究的不足, 本研究通过分析企业新技术推广情境下, 技术信任和领导信任对员工新技术接受的影响, 并引入了感知风险性与技术自我效能感作为中介变量, 探寻信任影响的内在机制。此外, 还进一步探讨企业文化的调节作用, 从而建构信任与企业员工新技术接受的理论模型, 为企业新技术的推广提出合理建议。

关键词: 技术接受, 技术扩散, 技术信任, 领导信任, 技术自我效能感


In today's knowledge-based economy, new technology adoption is crucial for companies to increase their core competitiveness. The success of new technology diffusion in enterprises depends on employees' trust in new technologies to overcome risks and uncertainties surrounding new technology. Although many scholars recognize the positive role of trust in the adoption of new technology, the extant literature lacks empirical evidence and theoretical underpinning. To fill the gap, we aim to explore how trust in technology and leadership affects employees' decision to adopt new technology through four different studies. Further, we introduce perceived risk and technology self-efficacy as mediators to explore the underlying mechanisms.

In study 1, we validate the measurement of trust in technology with functionality, reliability, and helpfulness as three antecedent factors. The positive effects of trust in technology and trust in leadership on employees' new technology adoption are examined through an experiment. In study 2, we collect employees' data within organizations. Perceived risk and technology usefulness are added into the model to explain the relationship between trust in technology, trust in leadership, and new technology adoption from the employees' perspective. In study 3, we first refine the measurement of technology self-efficacy. Then, through an experiment, we manipulate the trust in technology (High, Low, Control) and measure employees' technology self-efficacy and new technology adoption. We propose that trust in technology can increase technological self-efficacy and further facilitate employees' new technology adoption. In study 4, we examine the contextual effects of industries' backgrounds and organizational cultures. We suggest that in high-tech industries, trust in technology could have a greater effect on employees' adoption of new technology. In addition, organizational culture could moderate the effects of trust. In particular, collectivistic organizational culture could moderate the effects of trust in leadership, while individualistic organizational culture could moderate the effects of trust in technology.

Overall, the current research constructs a theoretical model and extends our understanding of employees' adoption of new technology. First, it investigates factors that affect new technology adoption from the employees' perspective with consideration of both individual and contextual factors. We propose employees' technological self-efficacy as individual differences and organizational culture and industry background as contextual factors that equally matters. Second, the current study clearly identifies trust in new technological adoption processes in organizations, as both trust in technology and trust in leadership. We further analyze the effects of the two types of trust and the underlying mechanisms. This enriches the literature of the influence of trust and its mechanism in new technology adoption. Third, we suggest that technological self-efficacy can explain the mechanism of trust in technology, which could lay the foundation for future research of trust in technology. Lastly, this study has managerial implications. Based on our findings, effective management strategies can be implemented to support new technologies integration.

Key words: new technology adoption, technology diffusion, trust in technology, trust in leadership, technological self-efficacy