@article{45112, author = {{Beverungen, Daniel and Kundisch, Dennis and Mirbabaie, Milad and Müller, Oliver and Schryen, Guido and Trang, Simon Thanh-Nam and Trier, Matthias}}, journal = {{Business & Information Systems Engineering}}, number = {{4}}, pages = {{463 -- 474}}, title = {{{Digital Responsibility – a Multilevel Framework for Responsible Digitalization}}}, doi = {{10.1007/s12599-023-00822-x}}, volume = {{65}}, year = {{2023}}, } @inproceedings{34317, author = {{Arslan, Kader and Trier, Matthias}}, booktitle = {{Proceedings of the 33rd Australasian Conference on Information Systems (ACIS 2022)}}, keywords = {{Social media, Social media marketing process, Social media strategy, Social media management, Guidelines}}, location = {{Melbourne, Australia}}, title = {{{Towards a Process Model for Social Media Marketing}}}, 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{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{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}}, } @inproceedings{30192, author = {{Arslan, Kader and Trier, Matthias}}, booktitle = {{Proceedings of the 32nd Australasian Conference on Information Systems (ACIS 2021)}}, keywords = {{Social media platform affordances, Use culture, Facebook, Instagram, Twitter}}, location = {{Sydney, Australia}}, title = {{{Towards a Differentiation Perspective on Social Media Platforms’ Affordances and Use Cultures – An organizing Literature Review}}}, year = {{2021}}, } @inproceedings{30190, author = {{Arslan, Kader}}, booktitle = {{Proceedings of the 29th European Conference on Information Systems (ECIS 2021)}}, keywords = {{Social media management, Social media, Literature review, Affordances, User behavior, Use culture}}, location = {{Marrakesh, Marocco}}, title = {{{A Review on Social Media Channel Choice Determinants in Organizations}}}, year = {{2021}}, } @inbook{35758, author = {{Meydani, Elnaz and Düsing, Christoph and Trier, Matthias}}, booktitle = {{Lecture Notes in Information Systems and Organisation}}, isbn = {{9783030867966}}, issn = {{2195-4968}}, publisher = {{Springer International Publishing}}, title = {{{Towards a Trust-Aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism}}}, doi = {{10.1007/978-3-030-86797-3_5}}, year = {{2021}}, } @inproceedings{44073, author = {{Meydani, Elnaz and Düsing, Christoph and Trier, Matthias}}, booktitle = {{Innovation Through Information Systems: Volume II: A Collection of Latest Research on Technology Issues}}, pages = {{72–77}}, title = {{{Towards a Trust-Aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism}}}, year = {{2021}}, } @article{10792, author = {{Khan, Gohar Feroz and Trier, Matthias}}, issn = {{0960-085X}}, journal = {{European Journal of Information Systems}}, number = {{4}}, pages = {{370--393}}, title = {{{Assessing the long-term fragmentation of information systems research with a longitudinal multi-network analysis}}}, doi = {{10.1080/0960085x.2018.1547853}}, volume = {{28}}, year = {{2019}}, } @article{35756, abstract = {{ Purpose Leveraging social action theory, social network theory and the notion of network externality, the purpose of this paper is to model two different return on investment (ROI) measures: the networked ROI which captures the network effect originating from a social media investment, and the discrete ROI which focuses social media discrete returns from individual users. Design/methodology/approach A field experiment was set up over a period of three months to test the effects of two variants of an advertisement campaign (a social vs a discrete ad) on the modeled networked and discrete ROIs. Findings The authors find that emphasizing discrete user actions leads to lower network gains, but higher monetary returns while the social action emphasis produces higher network gains, but lower monetary returns. The study further suggests that social action focus is preferable for brand promotion and engagement, whereas the discrete action focus is suitable for boosting sales and website traffic. Practical implications Several potential implications for social media researchers and marketers are also discussed. Originality/value The authors for the first time showed that that the social media returns are derived not only from individual actions taken by the user (e.g. likes and shares) but also from users’ social interdependencies and the additional exposure that results from network effects. }}, author = {{Khan, Gohar and Mohaisen, Manar and Trier, Matthias}}, issn = {{1066-2243}}, journal = {{Internet Research}}, keywords = {{Economics and Econometrics, Sociology and Political Science, Communication}}, number = {{2}}, pages = {{631--652}}, publisher = {{Emerald}}, title = {{{The network ROI}}}, doi = {{10.1108/intr-07-2018-0346}}, volume = {{30}}, year = {{2019}}, } @article{10788, author = {{Trier, Matthias}}, issn = {{2198-2775}}, journal = {{HMD Praxis der Wirtschaftsinformatik}}, number = {{4}}, pages = {{714--724}}, publisher = {{Springer}}, title = {{{Wissensarbeit mit Social Media Plattformen – Unsicherheitsfaktoren als Managementansatz}}}, doi = {{0.1365/s40702-018-0427-5}}, volume = {{55}}, year = {{2018}}, } @inproceedings{13305, author = {{Trier, Matthias and Jensen, Christoffer}}, title = {{{SOCIAL MEDIA MANAGEMENT METRICS FOR BUSINESS ANALYTICS-INVESTIGATING MANAGERIAL CHALLENGES}}}, year = {{2018}}, } @inproceedings{10789, author = {{Trier, Matthias and Fung, Magdalene and Hansen, Abigail}}, booktitle = {{25th European Conference on Information Systems, {ECIS} 2017, Guimar{\~{a}}es, Portugal, June 5-10, 2017}}, pages = {{104}}, title = {{{Uncertainties as Barriers for Knowledge Sharing with Enterprise Social Media}}}, year = {{2017}}, } @inproceedings{13306, abstract = {{Enterprise Social Networks (ESNs), d. h. Informationssysteme, die die Vernetzung von Mitarbeitern in Unternehmen f{\"o}rdern sollen, sind in verschiedenen Varianten und unter verschiedenen Bezeichnungen (etwa Enterprise Social Media, Corporate Social Software, Social Business oder Enterprise 2.0) bereits seit etwa gut einem Jahrzehnt auf dem Markt. Dennoch erfreuen sie sich erst seit den letzten Jahren steigender Beliebtheit und halten ebenfalls nach und nach fl{\"a}chendeckenden Einzug in Gro{\ss}unternehmen wie Siemens, Daimler oder Deutsche Telekom. Um mit dem Gartner »Hype Cycle« zu argumentieren: Das Thema ESN hat die Spitze des Hypes l{\"a}ngst {\"u}berschritten, das »Tal der Entt{\"a}uschungen« durchschritten und n{\"a}hert sich nun zunehmend dem »Plateau der Produktivit{\"a}t«. Motivation genug, um sich anhand einiger ausgew{\"a}hlter Fallbeispiele mit ESNs genauer auseinanderzusetzen.}}, author = {{Winkler, Till J. and Trier, Matthias}}, booktitle = {{Tools revisited – Rationalität und Kreativität durch Management-Tools?}}, pages = {{20--27}}, publisher = {{Daimler und Benz Stiftung}}, title = {{{Enterprise Social Networks: Neue Tools für das Informations und Wissensmanagement}}}, year = {{2017}}, } @inproceedings{13307, author = {{Richter, Shahper and Trier, Matthias and Richter, Alexander}}, title = {{{Value Co-creation in the Digital Factory: The Empowered Role of Shop Floor Workers}}}, year = {{2017}}, } @inbook{13268, author = {{Trier, Matthias and Hillmann, Robert}}, booktitle = {{Understanding Complex Systems}}, isbn = {{9783319436371}}, issn = {{1860-0832}}, title = {{{Does Sentiment Among Users in Online Social Networks Polarize or Balance Out? A Sociological Perspective Using Social Network Analysis}}}, doi = {{10.1007/978-3-319-43639-5_12}}, year = {{2016}}, } @article{13298, author = {{Sjjklint, Mimmi and Constantiou, Ioanna D and Trier, Matthias}}, issn = {{1556-5068}}, journal = {{SSRN Electronic Journal}}, title = {{{The Complexities of Self-Tracking - An Inquiry into User Reactions and Goal Attainment}}}, doi = {{10.2139/ssrn.2611193}}, year = {{2015}}, } @article{10791, author = {{Trier, Matthias and Richter, Alexander}}, issn = {{1350-1917}}, journal = {{Information Systems Journal}}, pages = {{465--488}}, title = {{{The deep structure of organizational online networking - an actor-oriented case study}}}, doi = {{10.1111/isj.12047}}, year = {{2014}}, } @article{13254, author = {{Behrendt, Sebastian and Richter, Alexander and Trier, Matthias}}, issn = {{1389-1286}}, journal = {{Computer Networks}}, pages = {{560--577}}, title = {{{Mixed methods analysis of enterprise social networks}}}, doi = {{10.1016/j.comnet.2014.08.025}}, year = {{2014}}, }