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ItemDigital Decarbonization: Design Principles for an Enterprise-wide Emissions Data Architecture( 2023-01-03)The need for corporate decarbonization to mitigate climate change is reflected in a growing number of political measures to transparently disclose the environmental impact of corporate activities. Due to increasing reporting obligations, companies must constantly evaluate their own as well as suppliers' products and processes with respect to emissions data. To date, guidelines on how to design a data architecture focusing on the collection, storage, transformation, distribution, and disclosure of emissions data throughout an entire company are still lacking. Working with the design science research paradigm, we develop seven design principles for an enterprise-wide emissions data architecture (EEDA). We develop and iterate these principles by performing a structured literature review and semi-structured interviews. Taking this emission-centric perspective on data architecture, we foster the active engagement for a structured enterprise-wide approach for managing emissions data and coping with the increased demand for emissions reporting.
ItemTechnology-Organization-Environment Meta-Review and Construct Analysis: Insights for Future Research( 2023-01-03)The Technology-Environment-Organization (“T-O-E”) framework has been widely applied in more than 80 published empirical information systems (“IS”) studies across multiple stages of organizational technology innovation adoption research in IS since its introduction in 1990. No prior review has traced studies and their factors back to the original framework categories and sub-categories to identify the existing lack of coverage. We address this research gap to guide future work. We present a meta-review and construct analysis derived from the most comprehensive collection of T-O-E articles collected and reviewed up to now. We present four major research contributions: 1) a guide to T-O-E constructs, 2) identification of new organizational sub-categories, 3) recognition of the existing levels of factor miscategorization, 4) identification of measurement gaps particularly relating to linking and communications sub-categories.
ItemOperationalization of Configuration Analysis in Interorganizational Information Systems Research: A Research Journey( 2023-01-03)Configuration analysis is still an under-developed tool for researchers to investigate interorganizational information systems (IOIS) and the forms of interorganizational integration that are supported by IOIS. In our attempt to explain observed phenomena in a target industry we applied configuration analysis proposed by Lyytinen and Damsgaard in their position paper from 2011 on an industry level. We operationalized the conceptual idea of configuration analysis in a research design defining research paradigm, type of reasoning, research goals, unit of analysis and research methods to make it feasible for IOIS research. Our findings indicate that our operationalization of configuration analysis is suitable for research fields in IOIS that have no or hardly any empirical groundwork to observe phenomena and hypothesize about the mechanics leading to the existence of the phenomena.