Motivating Employees to Explore Collaboration Technology in Team Contexts

Maruping, Likoebe M.; Magni, Massimo

doi:10.25300/misq/2015/39.1.01

Cited by 90 publications

(54 citation statements)

References 62 publications

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“…In general, this research offers several major theoretical contributions. Firstly, prior research on exploration intentions has called for research to examine antecedents that promote its development [e.g., 55,56,58]. This study suggests that the engagement experience can influence users' intention to explore BIS functions.…”

Section: Resultsmentioning

confidence: 99%

“…Users' intention to explore BIS functions is a crucial predictor for BIS exploration behavior which can lead to successful system implementation and realization of organizational business value [56,58]. In general, this research offers several major theoretical contributions.…”

Section: Resultsmentioning

confidence: 99%

“…A sample item would be "I enjoy doing work that requires the use of pictures". Items for intention to explore BIS were adapted from Maruping and Magni [56] and Nambisan et al [58] for our investigative context. A sample item would be "I intend to spend time and effort in exploring BIS functions for potential applications in my work".…”

Section: Methodsmentioning

confidence: 99%

“…While BIS provides a myriad of features, it is the user's responsibility to use them and explore them. Given the flexibility and enriched functionality of BIS, users who apply BIS in an explorative approach are more likely to use a broader scope of system features to support their work and develop capacity for better work performance [2,56,65]. Therefore, we focus on the exploration of BIS in this study, specifically users' intention to explore BIS which determines exploration behaviors [56].…”

Section: Introductionmentioning

confidence: 99%

“…Intention to explore refers to users' willingness and purpose to explore a new technology and find potential approaches to use a technology in their work [56,58]. Extant studies on antecedents of intention to explore mainly examined firm-specific information technology (IT) knowledge [e.g., 58], behavioral, normative and control beliefs [e.g., 71], and team empowerment [e.g.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Understanding Intention to Explore Business Intelligence Systems: The Role of Fit and Engagement

Yang¹,

Pinsonneault²,

Hsieh³

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Understanding Intention to Explore Business Intelligence Systems: The Role of Fit and Engagement

Yang¹,

Pinsonneault²,

Hsieh³

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology

Maruping

Bala

Venkatesh

et al. 2016

Asso for Info Science & Tech

Self Cite

176

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Research on information technology (IT) adoption and use, one of the most mature streams of research in the information science and information systems literature, is primarily based on the intentionality framework. Behavioral intention (BI) to use an IT is considered the sole proximal determinant of IT adoption and use. Recently, researchers have discussed the limitations of BI and argued that behavioral expectation (BE) would be a better predictor of IT use. However, without a theoretical and empirical understanding of the determinants of BE, we remain limited in our comprehension of what factors promote greater IT use in organizations. Using the unified theory of acceptance and use of technology as the theoretical framework, we develop a model that posits 2 determinants (i.e., social influence and facilitating conditions) of BE and 4 moderators (i.e., gender, age, experience, and voluntariness of use) of the relationship between BE and its determinants. We argue that the cognitions underlying the formation of BI and BE differ. We found strong support for the proposed model in a longitudinal field study of 321 users of a new IT.We offer theoretical and practical IT implications of our findings.

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Artificial intelligence changes the way we work: A close look at innovating with chatbots

Wang

Lin

Shao

2022

Asso for Info Science & Tech

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An enhanced understanding of the innovative use of artificial intelligence (AI) is essential for organizations to improve work design and daily business operations. This study's purpose is to offer insights into how AI can transform organizations' work practices through diving deeply into its innovative use in the context of a primary AI tool, a chatbot, and examining the antecedents of innovative use by conceptualizing employee trust as a multidimensional construct and exploring employees' perceived benefits. In particular, we have conceptualized employee trust in chatbots as a second‐order construct, including three first‐order variables: trust in functionality, trust in reliability, and trust in data protection. We collected data from 202 employees. The results supported our conceptualization of trust in chatbots and showed that three dimensions of first‐order trust beliefs have relatively the same level of importance. Further, both knowledge support and work–life balance enhance trust in chatbots, which in turn leads to innovative use of chatbots. Our study contributes to the existing literature by introducing the new conceptualization of trust in chatbots and examining its antecedents and outcomes. The results can provide important practical insights regarding how to support innovative use of chatbots as the new way we organize work.

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Motivating Employees to Explore Collaboration Technology in Team Contexts

Cited by 90 publications

References 62 publications

Understanding Intention to Explore Business Intelligence Systems: The Role of Fit and Engagement

Understanding Intention to Explore Business Intelligence Systems: The Role of Fit and Engagement

Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology

Artificial intelligence changes the way we work: A close look at innovating with chatbots

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