SIG Meta - Meta Research in Information Systems

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Paper Type

Complete

Paper Number

1165

Description

This paper explores how to bridge the field of IS on sustainability with Sustainability Transitions Research (STR). Using a bibliometric analysis of 5 IS conference proceedings, We map possibilities for such bridging, moving beyond the current approaches of GreenIT. Semantic content analysis of IS abstracts and keywords indicates themes characterizing GreenIT, focusing mostly on sustainability practice on the organizational level. In contrast, sustainability research (systems-level) is still uncharted territory for the IS community. Social network analysis of the authors and journals shows that collaboration and co-citation "within" the IS community are as low as the connection "without". We propose that more diffusion of IS theory and methods through Design Science may enrich current STR to be truly data-driven and theory-guided. First, the mapping suggests that IS theorizing can augment STR to be more generalizable for the digital era. Second, the thematic patterns suggest that Design Science methods and artifacts can augment the design of large-size STR studies bringing a more robust and data-driven theory-guided analysis of systemic innovation and transitions actor networks.

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Aug 10th, 12:00 AM

Towards Bridging IS and Sustainability Transitions Research Communities? – Bibliometric Mapping of IS Beyond GreenIT

This paper explores how to bridge the field of IS on sustainability with Sustainability Transitions Research (STR). Using a bibliometric analysis of 5 IS conference proceedings, We map possibilities for such bridging, moving beyond the current approaches of GreenIT. Semantic content analysis of IS abstracts and keywords indicates themes characterizing GreenIT, focusing mostly on sustainability practice on the organizational level. In contrast, sustainability research (systems-level) is still uncharted territory for the IS community. Social network analysis of the authors and journals shows that collaboration and co-citation "within" the IS community are as low as the connection "without". We propose that more diffusion of IS theory and methods through Design Science may enrich current STR to be truly data-driven and theory-guided. First, the mapping suggests that IS theorizing can augment STR to be more generalizable for the digital era. Second, the thematic patterns suggest that Design Science methods and artifacts can augment the design of large-size STR studies bringing a more robust and data-driven theory-guided analysis of systemic innovation and transitions actor networks.

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