To preserve competitive advantage in a more and more digitalized environment, today's organizations seek to assess their level of digital maturity. Given this particular practical relevance, a plethora of digital maturity models, designed to asses a company's digital status quo, has emerged over the past few years. Largely developed and published by practitioners, the academic value of these models remains obviously unclear. To shed light on their value in a broader sense, in this paper we critically evaluate 17 existing digital maturity modelsidentified through a systematic literature search (2011-2019)with regard to their validity of measurement. We base our evaluation on established academic criteria, such as generalizability or theory-based interpretation, that we apply in a qualitative content analysis to these models. Our analysis shows that most of the identified models do not conform to the established evaluation criteria. Based on these insights, we derive a detailed research agenda and suggest respective research questions and strategies.

German enterprises are often characterised by low levels of digital maturity. One reason for this is a lack of required structural changes on the path towards digital transformation. We consider a prescriptive framework, the digital transformation framework (DTF), which contains four structural requirements for digital transformation. Based on 16 interviews with German digitalisation experts, we aim at an evaluation of the DTF. The outcome is an enriched version of it containing seven structural requirements including the newly identified factors culture of change, agility of organizational structure, and integration of cloud computing and platforms. The extended DTF sheds light on additional facets of the digital transformation and thus supports managers in navigating their undertaking in this dynamic environment. Corresponding implications for research and practice are discussed.

Despite the overwhelming and unabated popularity of social networks in the past years, the motivation behind an individual's registration to such platforms is still largely uncharted. Based on an in-depth review of leading Information Systems literature, this paper investigates which factors potentially influence individual´s self-disclosure in social networks. The literature review reveals information privacy violation as the primary risk of online platform use. Regarding benefits, two categories are identified: social benefits, like reciprocity, relationship building and maintenance, or self-presentation as well as nonsocial benefits related to convenience, like personalization, entertainment, and safety and security. The later ones are mostly neglected in existing models. The main contribution of this paper consists of filling this gap by developing an enhanced research model of the user`s self-disclosure in social networks.

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