@article{35728,
  abstract     = {{Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.}},
  author       = {{Beverungen, Daniel and Hess, Thomas and Köster, Antonia and Lehrer, Christiane}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Digital transformation, Public data spaces, Digital platforms, GAIA-X}},
  pages        = {{493--501}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{From private digital platforms to public data spaces: implications for the digital transformation}}},
  doi          = {{10.1007/s12525-022-00553-z}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{35732,
  abstract     = {{While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.}},
  author       = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Platform, Text mining, Machine learning, Data communications, Interpretive research, Systems design and implementation}},
  pages        = {{375--396}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}},
  doi          = {{10.1007/s12525-022-00530-6}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{49458,
  author       = {{Nastjuk, I. and Trang, Simon Thanh-Nam and Papageorgiou, E.}},
  journal      = {{Electronic Markets}},
  pages        = {{1917--1924}},
  title        = {{{Smart cities and smart governance models for future cities}}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{49460,
  author       = {{Masuch, K. and Greve, M. and Trang, Simon Thanh-Nam}},
  journal      = {{Electronic Markets}},
  pages        = {{829--848}},
  title        = {{{What to do after a data breach? Examining apology and compensation as response strategies for health service providers}}},
  volume       = {{31}},
  year         = {{2022}},
}

@article{49459,
  author       = {{Masuch, K. and Greve, M. and Trang, Simon Thanh-Nam}},
  journal      = {{Computers & Security}},
  title        = {{{Apologize or Justify? Examining the Impact of Data Breach Response Actions on Stock Value of Affected Companies}}},
  volume       = {{12}},
  year         = {{2022}},
}

@article{30295,
  author       = {{Klingsieck, Katrin B. and John, Thomas and Kundisch, Dennis}},
  journal      = {{die hochschullehre}},
  number       = {{5}},
  pages        = {{61 -- 76}},
  title        = {{{Procrastination in the Looking Glass of Self-Awareness: Can Gamified Self-Monitoring Reduce Academic Procrastination?}}},
  doi          = {{10.3278/HSL2205W}},
  volume       = {{8}},
  year         = {{2022}},
}

@article{36961,
  author       = {{Constantiou, Ioanna and Mukkamala, Alivelu and Sjöklint, Mimmi and Trier, Matthias}},
  issn         = {{0960-085X}},
  journal      = {{European Journal of Information Systems}},
  keywords     = {{Library and Information Sciences, Information Systems}},
  pages        = {{1--21}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Engaging with self-tracking applications: how do users respond to their performance data?}}},
  doi          = {{10.1080/0960085x.2022.2081096}},
  year         = {{2022}},
}

@article{36083,
  author       = {{Constantiou, Ioanna and Mukkamala, Alivelu and Sjöklint, Mimmi and Trier, Matthias}},
  issn         = {{0960-085X}},
  journal      = {{European Journal of Information Systems}},
  keywords     = {{Library and Information Sciences, Information Systems, Self-Tracking, User Behaviour, Discontinuance}},
  pages        = {{1--21}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Engaging with self-tracking applications: how do users respond to their performance data?}}},
  doi          = {{10.1080/0960085x.2022.2081096}},
  year         = {{2022}},
}

@article{36960,
  author       = {{Constantiou, Ioanna and Mukkamala, Alivelu and Sjöklint, Mimmi and Trier, Matthias}},
  issn         = {{0960-085X}},
  journal      = {{European Journal of Information Systems}},
  keywords     = {{Library and Information Sciences, Information Systems}},
  pages        = {{1--21}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Engaging with self-tracking applications: how do users respond to their performance data?}}},
  doi          = {{10.1080/0960085x.2022.2081096}},
  year         = {{2022}},
}

@inproceedings{36084,
  author       = {{Meydani, Elnaz and Düsing, Christoph and Trier, Matthias}},
  booktitle    = {{Wirtschaftsinformatik 2022 Proceedings}},
  location     = {{Erlangen Nürnberg}},
  title        = {{{The Black Box of Social Commerce Platforms - A Closer Look at Users’ Activities}}},
  year         = {{2022}},
}

@inproceedings{41487,
  author       = {{Sven, Weinzierl and Bartelheimer, Christian and Zilker, Sandra and Beverungen, Daniel and Matzner, Martin}},
  booktitle    = {{Proceedings of the 26th Pacific Asia Conference on Information Systems (PACIS)}},
  title        = {{{ A Method for Predicting Workarounds in Business Processes}}},
  year         = {{2022}},
}

@inbook{21586,
  author       = {{Klein, M. and Kundisch, Dennis and Stummer, C.}},
  booktitle    = {{Handbuch Digitalisierung}},
  editor       = {{Corsten, H. and Roth, S.}},
  pages        = {{799--814}},
  publisher    = {{Vahle}},
  title        = {{{Feeless Micropayments and Their Impact on Business Models}}},
  year         = {{2022}},
}

@inproceedings{41486,
  abstract     = {{Now accounting for more than 80% of a firm's worth, brands have become essential assets for modern organizations. However, methods and techniques for the monetary valuation of brands are still under-researched. Hence, the objective of this study is to evaluate the utility of explanatory statistical models and machine learning approaches for explaining and predicting brand value. Drawing upon the case of the most valuable English football brands during the 2016/17 to 2020/21 seasons, we demonstrate how to operationalize Aaker's (1991) theoretical brand equity framework to collect meaningful qualitative and quantitative feature sets. Our explanatory models can explain up to 77% of the variation in brand valuations across all clubs and seasons, while our predictive approach can predict out-of-sample observations with a mean absolute percentage error (MAPE) of 14%. Future research can build upon our results to develop domain-specific brand valuation methods while enabling managers to make better-informed investment decisions.}},
  author       = {{Caron, Matthew and Bartelheimer, Christian and Müller, Oliver}},
  booktitle    = {{Proceeding of the 28th Americas Conference on Information Systems (AMCIS)}},
  location     = {{Minneapolis, USA}},
  title        = {{{Towards a Reliable & Transparent Approach to Data-Driven Brand Valuation}}},
  year         = {{2022}},
}

@inproceedings{44072,
  author       = {{Meydani, Elnaz and Düsing, Christoph and Fedrau, Annamaria and Trier, Matthias}},
  title        = {{{The “black box” of social commerce platforms-a closer look at users’ activities}}},
  year         = {{2022}},
}

@article{32095,
  author       = {{Müller, Michelle and Neumann, Jürgen and Kundisch, Dennis}},
  journal      = {{Journal of Management Information Systems}},
  number       = {{3}},
  pages        = {{834--864}},
  title        = {{{Peer-To-Peer Rentals, Regulatory Policies, And Hosts’ Cost Pass-Throughs}}},
  volume       = {{39}},
  year         = {{2022}},
}

@article{49461,
  author       = {{Trang, Simon Thanh-Nam and Mandrella, M. and Marrone, M. and Kolbe, L.}},
  journal      = {{European Journal of Information Systems (VHB Jourqual 3 A)}},
  pages        = {{166--187}},
  title        = {{{Co-creating business value through IT-business operational alignment in inter-organisational relationships: Empirical evidence from regional networks}}},
  volume       = {{31}},
  year         = {{2022}},
}

@inproceedings{31063,
  author       = {{Grieger, Nicole and Seutter, Janina and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 28th Americas Conference on Information Systems (AMCIS)}},
  location     = {{Minneapolis, USA}},
  title        = {{{A Rollercoaster of Emotions – A Semantic Analysis of Fundraising Campaigns over the Course of the COVID-19 Pandemic}}},
  year         = {{2022}},
}

@inproceedings{28999,
  author       = {{Grieger, Nicole and Seutter, Janina and Kundisch, Dennis}},
  booktitle    = {{Tagungsband der 17. Internationalen Tagung Wirtschaftsinformatik 2022}},
  location     = {{Nürnberg, Germany}},
  title        = {{{Rollercoaster of Emotions – A Semantic Analysis of Fundraising Campaigns over the Course of the Covid-19 Pandemic}}},
  year         = {{2022}},
}

@phdthesis{24885,
  author       = {{Neumann, Jürgen}},
  title        = {{{On Biases in Online Reviews and the Moderating Effect of Review System Design}}},
  doi          = {{10.17619/UNIPB/1-1177 }},
  year         = {{2021}},
}

@inproceedings{25174,
  author       = {{Müller, Michelle and Seutter, Janina and Müller, Stefanie Jutta Marianne and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 42nd International Conference on Information Systems (ICIS)}},
  title        = {{{Moment or Movement – An Empirical Analysis of the Heterogeneous Impact of Media Attention on Charitable Crowdfunding Campaigns}}},
  year         = {{2021}},
}