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Defining Archetypes of E-Collaboration for Product Development in The Automotive Industry

2017 | European Conference On Information Systems | Citations: 0
Authors: Holler, Manuel; Uebernickel, Falk; Brenner, Walter

Abstract: The automotive industry represents one of the most relevant industrial sectors o ... Expand

Abstract: The automotive industry represents one of the most relevant industrial sectors of the global economy. In response to a plethora of challenges, e-collaboration for product development has become a nexus of competitive advantage in the automotive world. Since new dynamics in organizational forms on the one hand and advancements in engineering information systems on the other hand have led to increased complexity, a classification model to organize and structure the manifold manifestations seems analytically useful. Hence, the paper at hand (1) proposes, (2) describes, and (3) validates archetypes of e-collaboration for product development in the automotive industry. Anchored in (1) a structured literature review and (2) rich empirical evidence from a multiple-case study in the automotive ecosystem, we organize our research study along a well-established, two-stage research method on archetypes adopting a socio-technical systems perspective. Key findings include the archetypes (1) mechanical development-dominant, (2) software development-dominant, (3) systems engineering-oriented, and (4) non-development-focused e-collaborations for product development as basic patterns. Thereby, “importance of mechanical development” and “importance of software development” act as essential classification dimensions. Keeping the inherent limitations of the qualitative research tradition in mind, this paper offers theoretical, methodological, managerial, and cross-disciplinary contributions. Collapse

Semantic filters: engineering consultancy

Topics: computer supported cooperative work new product development systems development innovation management database system

Methods: case study focus group structured literature research qualitative interview literature study

Theories: socio technical theory general systems theory
The scope of external information-seeking under uncertainty: An individual-level study
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2011 | International Journal of Information Management | Citations: 0
Authors: Guo, Bin

Abstract: As a ﬁrst attempt to empirically investigate the scope of external information-s ... Expand

Abstract: As a ﬁrst attempt to empirically investigate the scope of external information-seeking under uncertainty, this paper examines the direct and interactive effects of task uncertainty on the scope of external information-seeking. Search depth and breadth are the two components of the scope of external information-seeking in deﬁning an individual’s external information search strategy. The empirical results show that at the source portfolio level, task uncertainty exhibits positive effects on both the depth and breadth of external information-seeking. It is also found that there is a positive relationship between task uncertainty and depth-ﬁrst propensity, which is deﬁned as a seeker’s propensity to acquire information through increasing search depth instead of through widening search breadth at the source portfolio level. Furthermore, the results show that the positive relationship between task uncertainty and depth-ﬁrst propensity in external information-seeking is stronger when perceived source accessibility is low than when it is high. This study makes a contribution to the information-seeking literature by helping us understand how task uncertainty and source characteristics shape an individual’s external information-seeking at the level of source portfolio and providing evidence of the task-source ﬁt perspective in explaining information-seeking behaviour under uncertainty at the source portfolio level. Collapse

Semantic filters: engineering consultancy

Topics: task uncertainty new product development research and development information storage and retrieval system data quality

Methods: survey descriptive statistic multiple regression company material qualitative interview

Theories: lemon market theory uncertainty reduction theory

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Defining Archetypes of E-Collaboration for Product Development in The Automotive Industry

The scope of external information-seeking under uncertainty: An individual-level study