Group rewards, group composition and information sharing: A motivated information processing perspective

2016 ◽  
Vol 134 ◽  
pp. 31-44 ◽  
Author(s):  
Janice Francis Super ◽  
Pingshu Li ◽  
Ghadir Ishqaidef ◽  
James P. Guthrie
Keyword(s):  
Information Processing ◽  
Information Sharing ◽  
Group Composition ◽  
Information Processing Perspective ◽  
Motivated Information Processing

How to leverage manufacturing digitalization for green process innovation: an information processing perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zelong Wei ◽  
Lulu Sun
Keyword(s):  
Information Processing ◽  
Information Sharing ◽  
Process Innovation ◽  
Green Process ◽  
Bottom Up ◽  
Content Type ◽  
Digital Era ◽  
Information Processing Perspective ◽  
Green Process Innovation

PurposeThe aim of this study was to examine how manufacturing digitalization can be leveraged to promote green innovation in the digital era by investigating the effects of manufacturing digitalization on green process innovation, and thus firm performance. The authors also explored how the role of manufacturing digitalization varies with horizontal information sharing, vertical bottom-up learning and technological modularization.Design/methodology/approachFive hypotheses were examined by performing regression analyses on survey data from 334 manufacturing firms in China.FindingsManufacturing digitalization positively affects green process innovation, and thus firm performance. Furthermore, this positive effect is strengthened by horizontal information sharing and technological modularization and weakened by vertical bottom-up learning.Originality/valueThis study extends the literature rooted in the natural-resource-based view by identifying the crucial role of green process innovation and investigating the value of manufacturing digitalization for developing green capabilities in the digital era. It also contributes to this line of research by revealing contingent factors to leverage manufacturing digitalization from the information processing perspective. Furthermore, this study extends information processing theory to the digital context and identifies the interaction of organizational design (vertical bottom-up learning and horizontal information sharing) and digital investment (manufacturing digitalization).

Seeing Through the FOG: A Classroom Exercise Illustrating the Challenges of Sharing Information as Facts, Opinions, and Guesses in Teams

2021 ◽  
pp. 237929812110428
Author(s):  
Alexander C. Romney ◽  
Andrew T. Soderberg ◽  
Gerardo A. Okhuysen
Keyword(s):  
Information Processing ◽  
Information Sharing ◽  
Role Play ◽  
Critical Aspect ◽  
Team Members ◽  
Classroom Exercise ◽  
Motivated Information Processing ◽  
Team Functioning

Information sharing is a critical aspect of effective team functioning. However, it can be challenging to discern whether the information communicated is fact, opinion, or someone’s best guess (FOG) due to the varied understandings, assumptions, and interests team members bring to any collaboration. In this article, we introduce a role-play exercise that helps participants better understand the complexities associated with information sharing in teams and how to sort through the FOG associated with information exchanges. Drawing upon research on motivated information processing, this exercise simulates the challenges of information sharing and assists teachers in demonstrating strategies to overcome them.

The creating force of minority dissent: A motivated information processing perspective

2008 ◽  
Vol 3 (4) ◽  
pp. 267-285 ◽  
Author(s):  
Carsten K. W. De Dreu ◽  
Bernard A. Nijstad ◽  
Matthijs Baas ◽  
Myriam N. Bechtoldt
Keyword(s):  
Information Processing ◽  
Information Processing Perspective ◽  
Minority Dissent ◽  
Motivated Information Processing

The perception of humanness in conversational journalism: An algorithmic information-processing perspective

2021 ◽  
pp. 146144482199380
Author(s):  
Donghee Shin
Keyword(s):  
Artificial Intelligence ◽  
Information Processing ◽  
Cognitive Model ◽  
Human Beings ◽  
User Perception ◽  
User Experiences ◽  
Step Flow ◽  
Algorithmic Information ◽  
Information Processing Perspective ◽  
Practical Implications

How much do anthropomorphisms influence the perception of users about whether they are conversing with a human or an algorithm in a chatbot environment? We develop a cognitive model using the constructs of anthropomorphism and explainability to explain user experiences with conversational journalism (CJ) in the context of chatbot news. We examine how users perceive anthropomorphic and explanatory cues, and how these stimuli influence user perception of and attitudes toward CJ. Anthropomorphic explanations of why and how certain items are recommended afford users a sense of humanness, which then affects trust and emotional assurance. Perceived humanness triggers a two-step flow of interaction by defining the baseline to make a judgment about the qualities of CJ and by affording the capacity to interact with chatbots concerning their intention to interact with chatbots. We develop practical implications relevant to chatbots and ascertain the significance of humanness as a social cue in CJ. We offer a theoretical lens through which to characterize humanness as a key mechanism of human–artificial intelligence (AI) interaction, of which the eventual goal is humans perceive AI as human beings. Our results help to better understand human–chatbot interaction in CJ by illustrating how humans interact with chatbots and explaining why humans accept the way of CJ.

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