Start Date

10-12-2017 12:00 AM

Description

Competence and motivation are the most salient determinants for individual effective system use; corresponding theoretical development at the team level has been limited. Our study develops a set of meso-level theories understanding how teams’ competence composition in terms of system knowledge variety (SK-V) and system self-efficacy disparity (SSE-D) form motivational climate (internalization and compliance, respectively), thereby contributing to collective innovative use (CIU). We propose that 1) SK-V positively impacts CIU through the consensus of internalization among team members, 2) SSE-D negatively impacts CIU through the consensus of compliance, and 3) CIU positively impacts teams’ task performance. We design a lab experiment–every 3-4 college students perform a series of team-based Excel tasks (with SK-V and SSE-D manipulated). Our study will contribute to the theoretical development on isomorphic models in the IS domain and provide practical insights in managing multiple-user system/technology use situations across business, healthcare, and learning contexts.

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Dec 10th, 12:00 AM

An Isomorphic Model of Collective Innovative Use: Eliciting Motivation from Competence through Team Composition

Competence and motivation are the most salient determinants for individual effective system use; corresponding theoretical development at the team level has been limited. Our study develops a set of meso-level theories understanding how teams’ competence composition in terms of system knowledge variety (SK-V) and system self-efficacy disparity (SSE-D) form motivational climate (internalization and compliance, respectively), thereby contributing to collective innovative use (CIU). We propose that 1) SK-V positively impacts CIU through the consensus of internalization among team members, 2) SSE-D negatively impacts CIU through the consensus of compliance, and 3) CIU positively impacts teams’ task performance. We design a lab experiment–every 3-4 college students perform a series of team-based Excel tasks (with SK-V and SSE-D manipulated). Our study will contribute to the theoretical development on isomorphic models in the IS domain and provide practical insights in managing multiple-user system/technology use situations across business, healthcare, and learning contexts.