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Article
Publication date: 27 February 2023

Xiaosong Jason Wu, Randi Jiang, Jacob Chia-An Tsai and Gary Klein

An enterprise system (ES) implementation proceeds as a multi-team system (MTS), with multiple project teams spanning time and business functions to meet organization-wide goals…

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Abstract

Purpose

An enterprise system (ES) implementation proceeds as a multi-team system (MTS), with multiple project teams spanning time and business functions to meet organization-wide goals. Thus, the focus shifts from the output of a single project team to the outcomes of all ES project teams as part of the larger MTS. This study extends concepts of shared mental models (SMMs) in aspects of goals and plans in both MTS level and project team level and further examines SMMs' interactive impact on the MTS-based project performance.

Design/methodology/approach

This study tests the model with survey data from 140 MTS-based ES implementations in China. Partial Least Squares Structural Equation Modeling (PLS SEM) served to test the hypothesized relationships.

Findings

SMMs of project team-level goals and plans contribute to the cooperation and coordination in the ES implementation and thereby improve final implementation efficiency either directly or in combination. However, SMMs of MTS-level goal and plans contribute integration only when considered with achievements at the project level.

Originality/value

Prior literature suggests a critical role of integration among ES project teams but finds challenges in achieving such integration. By leveraging shared mental model theory, the authors' results show that both common goal and plan understandings in the integration team critically influence integration in ES implementation and, thus, the final ES implementation efficiency, though not in a strictly linear relationship.

Details

International Journal of Managing Projects in Business, vol. 16 no. 2
Type: Research Article
ISSN: 1753-8378

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Article
Publication date: 24 February 2020

Xiaosong (Jason) Wu, Wei (Wayne) Huang, James Jiang, Gary Klein and Shan Liu

Two challenges faced by automotive component design projects within contracted design agencies are (1) specification changes requested by the manufacturers and (2) product…

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Abstract

Purpose

Two challenges faced by automotive component design projects within contracted design agencies are (1) specification changes requested by the manufacturers and (2) product information or core technology knowledge leakage to external actors. We examine the effects of targeted boundary activities that address these challenges under the contingencies of environmental uncertainty and project complexity.

Design/methodology/approach

Based on Boundary management theory, a bidirectional model of boundary buffering was conceptualized in the context of design agency teams developing automotive components. A survey is derived from the proposed model. Regression analysis is performed using empirical data from 234 auto component design projects in Chinese design agencies.

Findings

Boundary buffering activities that strengthen outside-in boundaries and inside-out boundaries directly improve the final design quality. Further, the magnitude of effect for outside-in buffering on design quality is enhanced under environmental uncertainty, while the impact of inside-out buffering on design quality is enhanced under project complexity.

Research limitations/implications

Boundary activities should consider differences in boundary targets, directional flow of information, and context of scope.

Practical implications

Automotive component design agents should attend to both outside-in and inside-out boundary buffering, especially under conditions of environmental uncertainty or project complexity.

Originality/value

The proposed bidirectional view on boundary buffering adds perspective to team boundary management theory. Specific contingencies include common risk elements of project complexity and environmental uncertainty not typically associated with the need for buffering activities.

Details

International Journal of Operations & Production Management, vol. 40 no. 3
Type: Research Article
ISSN: 0144-3577

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