Kranz, Johann J.

[["dc.bibliographiccitation.firstpage","477"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Information Systems Journal"],["dc.bibliographiccitation.lastpage","517"],["dc.bibliographiccitation.volume","26"],["dc.contributor.author","Kranz, Johann J."],["dc.contributor.author","Hanelt, Andre"],["dc.contributor.author","Kolbe, Lutz M."],["dc.date.accessioned","2018-08-21T10:32:32Z"],["dc.date.available","2018-08-21T10:32:32Z"],["dc.date.issued","2016"],["dc.description.abstract","The increasing popularity of Software as a Service has strongly affected the established business model of on‐premise enterprise software. Software as a Service has distinctive characteristics of disruptive innovations that typically create several difficulties for incumbent firms, in particular with regard to adapting business models. To date, however, little empirical understanding exists regarding the dynamics of business model change – a topic of special importance to the highly dynamic software industry, which is characterised by rapid and regular emergence of disruptive innovations. As disruptive innovations require gathering distant knowledge and experimenting with new ideas, this study addresses theoretical gaps regarding the role of absorptive capacity and organisational ambidexterity in the process of business model change owing to the emergence of a disruptive innovation. Drawing on evidence from multiple case studies of six incumbent vendors of enterprise resource‐planning software and informed by a thorough review of related secondary data, we investigate the pace and path of incumbents' business model adaptations. We propose a theoretical model that refines prior literature on absorptive capacity and organisational ambidexterity, particularly with regard to the process of business model change. This study identifies further technological factors that determine how and why incumbents change business models. In addition, our study provides in‐depth insights on the technological trajectory of enterprise resource‐planning software switching from on‐premise to on‐demand software services."],["dc.identifier.doi","10.1111/isj.12102"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/15454"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.eissn","1350-1917"],["dc.title","Understanding the influence of absorptive capacity and ambidexterity on the process of business model change - the case of on-premise and cloud-computing software"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","7"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Electronic Markets"],["dc.bibliographiccitation.lastpage","16"],["dc.bibliographiccitation.volume","25"],["dc.contributor.author","Kranz, Johann"],["dc.contributor.author","Kolbe, Lutz M."],["dc.contributor.author","Koo, Chulmo"],["dc.contributor.author","Boudreau, Marie-Claude"],["dc.date.accessioned","2018-11-07T10:00:14Z"],["dc.date.available","2018-11-07T10:00:14Z"],["dc.date.issued","2015"],["dc.identifier.doi","10.1007/s12525-015-0180-3"],["dc.identifier.isi","000351105200002"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37759"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.publisher.place","Heidelberg"],["dc.relation.issn","1422-8890"],["dc.relation.issn","1019-6781"],["dc.title","Smart energy: where do we stand and where should we go?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.subtype","letter_note"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.lastpage","10"],["dc.contributor.author","Kranz, Johann"],["dc.contributor.author","Kossahl, Janis"],["dc.contributor.author","Kolbe, Lutz"],["dc.date.accessioned","2018-08-26T18:34:24Z"],["dc.date.available","2018-08-26T18:34:24Z"],["dc.date.issued","2012"],["dc.description.abstract","Smart grid technologies (SGT) comprise technologies from various domains, among others information systems (IS). IS can contribute decisively to upgrade the nowadays electromechanically controlled energy systems to electronically controlled networks (Watson, Boudreau and Chen 2010). However, to date the organizational adoption of SGT is rather limited. Thus, we developed a model based upon the technology-organization-environment (TOE) framework (Tornatzky and Fleischer 1990) and validated the model based on data collected from 180 German distribution system operators (DSOs). The model explains .62 of the variance in adoption. Our findings suggest that the technological and regulatory context variables are only minor drivers while the organizational context variables have a substantial impact on the adoption decision. Also the control variables firm size and number of industry clients were found to be significant determinants. The paper’s findings will help refining researchers’ understanding of organizational technology adoption and will be useful for stakeholders interested in SGT-diffusion."],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/15572"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.conference","18th Americas Conference on Information Systems"],["dc.relation.eventend","2012-08-11"],["dc.relation.eventlocation","Seattle"],["dc.relation.eventstart","2012-08-09"],["dc.relation.ispartof","Proceedings of the 18th American Conference on Information Systems"],["dc.title","A Perception-based Model for Smart Grid Adoption of Distribution System Operators - An Empirical Analysis"],["dc.type","conference_paper"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]