@inproceedings{61310,
  abstract     = {{Service systems engineering relies on structured, top-down approaches to designing and
innovating service systems. In today’s dynamic environments—shaped by digital transformation,
evolving provider–user interactions, and shifting societal demands—these approaches face limitations in enabling continuous, context-sensitive innovation. Continuous Value Shaping emerges as a conceptual extension to service systems engineering, promoting more adaptive and co-evolutionary forms of service system development. This study examines how Continuous Value Shaping manifests through a multiple case study of three public sector projects. We identify distinct manifestations and constellations of the concept’s principles that complement classical
SSE practices. As the first empirical exploration of Continuous Value Shaping, the study refines its
conceptual foundation and enhances its accessibility for researchers and practitioners. We conclude with seven empirically derived propositions that inform future service systems engineering initiatives and demonstrate how Continuous Value Shaping supports the dynamic alignment of service systems with societal and systemic demands.}},
  author       = {{Schäfer, Jannika Marie and Rajko, Polina and Angelova, Daniela and Böhmann, Tilo}},
  booktitle    = {{Proceedings of the 59th Hawaii International Conference on System Sciences (HICSS 2026)}},
  keywords     = {{Continuous Value Shaping, Service Systems Engineering, Service Science, Public Sector, Service Innovation}},
  location     = {{Maui, Maui, Hawaii, USA}},
  publisher    = {{Association for Information Systems (AIS), IEEE Computer Society Press, University of Hawaii (Manoa)}},
  title        = {{{From Engineering to Shaping: A Multiple Case Study on Advancing Service Systems Engineering through Continuous Value Shaping}}},
  year         = {{2026}},
}

@inproceedings{61309,
  abstract     = {{Service ecosystems reshape service innovation by enabling value co-creation among diverse actors. However, small and medium-sized enterprises and public organizations face significant challenges navigating and leveraging these ecosystems due to resource constraints, knowledge gaps, and partnership difficulties. While digital innovation hubs have been introduced as potential intermediaries to foster innovation, existing models primarily focus on individual solutions and networking rather than orchestrating service innovation. This study investigates the design of a digital service innovation hub as an orchestrating entity that facilitates service innovation within ecosystems. Under the design science research paradigm, we analyze the challenges faced by small and medium-sized enterprises and public organizations and derive design requirements for these hubs. Based on 17 expert interviews and focus group validations, we define the problem
space and provide a requirements catalog for designing digital service innovation hubs as a step towards providing holistic support for service innovation initiatives.}},
  author       = {{Schäfer, Jannika Marie and Liebschner, Jonas and Rajko, Polina and Cohnen, Henrik and Lugmair, Nina and Heinz, Daniel}},
  booktitle    = {{Proceedings of the 20th International Conference on Wirtschaftsinformatik (WI 2025)}},
  keywords     = {{service innovation, ecosystem, innovation hubs, SMEs, public sector}},
  location     = {{Münster, Germany}},
  publisher    = {{Association for Information Systems (AIS)}},
  title        = {{{Designing Digital Service Innovation Hubs: An Ecosystem Perspective on the Challenges and Requirements of SMEs and the Public Sector}}},
  year         = {{2025}},
}

@article{59335,
  abstract     = {{Technological advancements and evolving value orientations reshape future value creation and pose new requirements for service innovation. While a variety of disciplines are developing new approaches to drive service innovation, this is primarily done in isolation and generates only fragmented solutions. Sociological theory has proposed “boundary objects” as an effective umbrella for communication and cooperation among communities. Therefore, we introduce continuous value shaping (CVS) as a boundary object describing service innovation approaches along five principles. We reflect on this concept through the different disciplinary lenses of researchers in service marketing, information systems, service engineering, sociology of work, and innovation management. These perspectives highlight how the CVS principles already connect to discourses within the individual disciplines. However, the CVS concept will not only provide an umbrella to embrace existing activities in different academic disciplines. It also assists to identify research themes that will benefit from uniting the power of these disciplines, and it can serve as an integrating framework to conceptualize complex service innovation approaches. Thus, the CVS concept should guide both researchers and practitioners to develop and implement novel innovation and transformation efforts—in and across organizations.}},
  author       = {{Böhmann, Tilo and Roth, Angela and Satzger, Gerhard and Benz, Carina and Beverungen, Daniel and Boes, Andreas and Breidbach, Christoph and Gersch, Martin and Gudergan, Gerhard and Hogreve, Jens and Kurtz, Christian and Langes, Barbara and Leimeister, Jan Marco and Lewandowski, Tom and Meiren, Thomas and Nägele, Rainer and Paluch, Stefanie and Peters, Christoph and Poeppelbuss, Jens and Robra-Bissantz, Susanne and Schultz, Carsten and Schumann, Jan H. and Wirtz, Jochen and Wünderlich, Nancy V.}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Continuous value shaping (CVS), Service research, Service innovation, Digitalization, Sustainability, Interdisciplinary research}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Continuous value shaping: A boundary concept for innovating service innovation approaches}}},
  doi          = {{10.1007/s12525-025-00771-1}},
  volume       = {{35}},
  year         = {{2025}},
}

@article{53213,
  author       = {{Amiri, Arman and Tavana, Madjid and Arman, Hosein}},
  issn         = {{2542-6605}},
  journal      = {{Internet of Things}},
  keywords     = {{Management of Technology and Innovation, Artificial Intelligence, Computer Science Applications, Hardware and Architecture, Engineering (miscellaneous), Information Systems, Computer Science (miscellaneous), Software}},
  publisher    = {{Elsevier BV}},
  title        = {{{An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction}}},
  doi          = {{10.1016/j.iot.2023.101027}},
  volume       = {{25}},
  year         = {{2024}},
}

@inproceedings{57105,
  author       = {{Mager, Thomas and Diri, Jabil and Kneuper, Pascal and Kruse, Stephan and Scheytt, J. Christoph}},
  booktitle    = {{AmEC 2024 – Automotive meets Electronics & Control; 14. GMM Symposium}},
  keywords     = {{Technological innovation, Europe, Radar, Radar imaging, Radar antennas, Sensors, Automobiles, Autonomous vehicles, Surface treatment, Automotive engineering}},
  pages        = {{89--94}},
  title        = {{{Integration of a 77GHz automotive radar system into plastic surfaces using MID-technology}}},
  year         = {{2024}},
}

@article{48517,
  author       = {{Hubner-Benz, Sylvia and Baum, Matthias}},
  issn         = {{1742-5360}},
  journal      = {{International Journal of Entrepreneurial Venturing}},
  keywords     = {{Management of Technology and Innovation, Strategy and Management, Business and International Management}},
  number       = {{1}},
  publisher    = {{Inderscience Publishers}},
  title        = {{{What predicts effectuation preferences Disentangling individual and environmental factors and illuminating decision criteria}}},
  doi          = {{10.1504/ijev.2023.129283}},
  volume       = {{15}},
  year         = {{2023}},
}

@article{48900,
  author       = {{Diederich, Sarah and Iseke, Anja and Pull, Kerstin and Schneider, Martin}},
  issn         = {{0958-5192}},
  journal      = {{The International Journal of Human Resource Management}},
  keywords     = {{Management of Technology and Innovation, Organizational Behavior and Human Resource Management, Strategy and Management, Business and International Management, Industrial relations}},
  pages        = {{1--29}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Role (in-)congruity and the Catch 22 for female executives: how stereotyping contributes to the gender pay gap at top executive level}}},
  doi          = {{10.1080/09585192.2023.2273331}},
  year         = {{2023}},
}

@article{49446,
  author       = {{Diederich, Sarah and Iseke, Anja and Pull, Kerstin and Schneider, Martin}},
  issn         = {{0958-5192}},
  journal      = {{The International Journal of Human Resource Management}},
  keywords     = {{Management of Technology and Innovation, Organizational Behavior and Human Resource Management, Strategy and Management, Business and International Management, Industrial relations}},
  pages        = {{1--29}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Role (in-)congruity and the Catch 22 for female executives: how stereotyping contributes to the gender pay gap at top executive level}}},
  doi          = {{10.1080/09585192.2023.2273331}},
  year         = {{2023}},
}

@article{53220,
  author       = {{Tavana, Madjid and Khalili Nasr, Arash and Ahmadabadi, Alireza Barati and Amiri, Alireza Shamekhi and Mina, Hassan}},
  issn         = {{2542-6605}},
  journal      = {{Internet of Things}},
  keywords     = {{Management of Technology and Innovation, Artificial Intelligence, Computer Science Applications, Hardware and Architecture, Engineering (miscellaneous), Information Systems, Computer Science (miscellaneous), Software}},
  publisher    = {{Elsevier BV}},
  title        = {{{An interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks}}},
  doi          = {{10.1016/j.iot.2023.100786}},
  volume       = {{22}},
  year         = {{2023}},
}

@article{53226,
  author       = {{Marín, Raquel and Santos-Arteaga, Francisco J. and Tavana, Madjid and Di Caprio, Debora}},
  issn         = {{2444-569X}},
  journal      = {{Journal of Innovation & Knowledge}},
  keywords     = {{Management of Technology and Innovation, Marketing, Economics and Econometrics, Business and International Management}},
  number       = {{4}},
  publisher    = {{Elsevier BV}},
  title        = {{{Value Chain digitalization and technological development as innovation catalysts in small and medium-sized enterprises}}},
  doi          = {{10.1016/j.jik.2023.100454}},
  volume       = {{8}},
  year         = {{2023}},
}

@article{53224,
  author       = {{Santos-Arteaga, Francisco J. and Di Caprio, Debora and Tavana, Madjid}},
  issn         = {{0040-1625}},
  journal      = {{Technological Forecasting and Social Change}},
  keywords     = {{Management of Technology and Innovation, Applied Psychology, Business and International Management}},
  publisher    = {{Elsevier BV}},
  title        = {{{A combinatorial data envelopment analysis with uncertain interval data with application to ICT evaluation}}},
  doi          = {{10.1016/j.techfore.2023.122510}},
  volume       = {{191}},
  year         = {{2023}},
}

@article{41929,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The advent of social media and its commodification have created a never-ending feedback loop between businesses and their customers. In this context, constant negative Word-of-Mouth (NWOM) may jeopardize a corporate image and cause defensiveness in corporate communication. This paper presents a case study of several customer service accounts of the railway company Deutsche Bahn on Twitter to investigate the management and control of constant NWOM and the impact of accountability strategies on customers’ perception of the firm. To this end, a sample of 36,757 Twitter postings was drawn and analyzed by means of sentiment and content analysis techniques. The findings suggest that the perceived accountability towards the firm declined in case of an attitude shift towards the user. In contrast, the firm was being held accountable more insistently after expressed defensiveness, regardless of the firm’s actual accountableness. With this paper, we introduce the notion of accountability management and an accompanying theoretical framework to the literature. This provides a novel perspective on constant NWOM countermeasures for organizations that are part of ‘toxic’ industries or face unrightfully claimed accusations, i.e., when being held accountable for outer circumstances beyond their control.</jats:p>}},
  author       = {{Mirbabaie, Milad and Stieglitz, Stefan and Marx, Julian}},
  issn         = {{2366-6153}},
  journal      = {{Schmalenbach Journal of Business Research}},
  keywords     = {{Management of Technology and Innovation, General Economics, Econometrics and Finance, General Business, Management and Accounting}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Negative Word of Mouth On Social Media: A Case Study of Deutsche Bahn’s Accountability Management}}},
  doi          = {{10.1007/s41471-022-00152-w}},
  year         = {{2023}},
}

@inproceedings{34166,
  abstract     = {{Within innovation management, choosing the best fitting product idea is the most important decision point. The future existence and success of the organization is depending on selected product ideas. To find the best fitting idea for an organization, it needs evaluation criteria representing the organizations mission Therefore, this study focuses on a holistic overview about evaluation criteria and on supporting organizations in the process to select its individual evaluation criteria. Based on a literature study, existing approaches regarding evaluation criteria in product idea selection are identified and a list of evaluation criteria is reworked. Using the list of evaluation criteria, a prioritization method is created. Within an interview with experts in innovation management, the method is discussed regarding usability and the level of assistance in product idea selection. The developed criteria can be used directly by innovation manager and industrial practitioners to evaluate potential product ideas.}},
  author       = {{Gräßler, Iris and Koch, Anna-Sophie}},
  booktitle    = {{XXXIII Proceedings of the ISPIM Innovation Conference}},
  isbn         = {{978-952-335-694-8}},
  keywords     = {{innovation management, evaluation criteria, idea selection, idea evaluation, meta-study}},
  location     = {{Copenhagen, Denmark}},
  title        = {{{Evaluation Criteria in Product Idea Selection Decisions}}},
  year         = {{2022}},
}

@article{35740,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>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.</jats:p>}},
  author       = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  number       = {{1}},
  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{50463,
  abstract     = {{<jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>Enabled by increased (“big”) data stocks and advanced (“machine learning”) analyses, the concept of human resource analytics (HRA) is expected to systematically improve decisions in human resource management (HRM). Since so far empirical evidence on this is, however, lacking, the authors' study examines which combinations of data and analyses are employed and which combinations deliver on the promise of improved decision quality.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>Theoretically, the paper employs a neo-configurational approach for founding and conceptualizing HRA. Methodically, based on a sample of German organizations, two varieties (crisp set and multi-value) of qualitative comparative analysis (QCA) are employed to identify combinations of data and analyses sufficient and necessary for HRA success.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>The authors' study identifies existing configurations of data and analyses in HRM and uncovers which of these configurations cause improved decision quality. By evidencing that and which combinations of data and analyses conjuncturally cause decision quality, the authors' study provides a first confirmation of HRA success.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Research limitations/implications</jats:title><jats:p>Major limitations refer to the cross-sectional and national sample and the usage of subjective measures. Major implications are the suitability of neo-configurational approaches for future research on HRA, while deeper conceptualizing and researching both the characteristics and outcomes of HRA constitutes a core future task.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>The authors' paper employs an innovative theoretical-methodical approach to explain and analyze conditions that conjuncturally cause decision quality therewith offering much needed empirical evidence on HRA success.</jats:p></jats:sec>}},
  author       = {{Strohmeier, Stefan and Collet, Julian and Kabst, Rüdiger}},
  issn         = {{1746-5265}},
  journal      = {{Baltic Journal of Management}},
  keywords     = {{Management of Technology and Innovation, Marketing, Organizational Behavior and Human Resource Management, Strategy and Management, Business and International Management}},
  number       = {{3}},
  pages        = {{285--303}},
  publisher    = {{Emerald}},
  title        = {{{(How) do advanced data and analyses enable HR analytics success? A neo-configurational analysis}}},
  doi          = {{10.1108/bjm-05-2021-0188}},
  volume       = {{17}},
  year         = {{2022}},
}

@article{37138,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Assuming that potential biases of Artificial Intelligence (AI)-based systems can be identified and controlled for (e.g., by providing high quality training data), employing such systems to augment human resource (HR)-decision makers in candidate selection provides an opportunity to make selection processes more objective. However, as the final hiring decision is likely to remain with humans, prevalent human biases could still cause discrimination. This work investigates the impact of an AI-based system’s candidate recommendations on humans’ hiring decisions and how this relation could be moderated by an Explainable AI (XAI) approach. We used a self-developed platform and conducted an online experiment with 194 participants. Our quantitative and qualitative findings suggest that the recommendations of an AI-based system can reduce discrimination against older and female candidates but appear to cause fewer selections of foreign-race candidates. Contrary to our expectations, the same XAI approach moderated these effects differently depending on the context.</jats:p>}},
  author       = {{Hofeditz, Lennart and Clausen, Sünje and Rieß, Alexander and Mirbabaie, Milad and Stieglitz, Stefan}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets (ELMA)}},
  keywords     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Applying XAI to an AI-based system for candidate management to mitigate bias and discrimination in hiring}}},
  doi          = {{10.1007/s12525-022-00600-9}},
  year         = {{2022}},
}

@article{46634,
  author       = {{Alavi, Sascha and Böhm, Eva and Habel, Johannes and Wieseke, Jan and Schmitz, Christian and Brüggemann, Felix}},
  issn         = {{0737-6782}},
  journal      = {{Journal of Product Innovation Management}},
  keywords     = {{Management of Technology and Innovation, Strategy and Management}},
  number       = {{3}},
  pages        = {{445--463}},
  publisher    = {{Wiley}},
  title        = {{{The ambivalent role of monetary sales incentives in service innovation selling}}},
  doi          = {{10.1111/jpim.12600}},
  volume       = {{39}},
  year         = {{2022}},
}

@article{30735,
  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     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  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}},
  year         = {{2022}},
}

@inproceedings{24079,
  abstract     = {{In innovation management, usually there is a large number of product ideas, not all of which meet the requirements of a company and make sense to pursue further. For selecting the most promising ideas, several methods exist which each focus on a certain aspect. Due to the characteristics of Small and Medium Enterprises (SMEs) such as limited resources, these enterprises have special requirements on methods for selecting ideas. In this study, criteria of SMEs for idea selection are deducted from SME-characteristics. Methods for idea selection are tested for fulfillment of these criteria and the results are combined in a matrix. Together with a guideline, a tool for idea selection in innovation management of SMEs is developed. The results are validated in the context of innovation management in SMEs. By selecting a method, a SME is enabled to make economically viable decisions for their product portfolio, thus
ensuring sustainable economic success.}},
  author       = {{Gräßler, Iris and Koch, Anna-Sophie and Thiele, Henrik and Dattner, Michael}},
  booktitle    = {{Proceedings of the ISPIM Innovation Conference}},
  keywords     = {{innovation management, SME, evaluation method, idea selection, meta-study, idea evaluation}},
  location     = {{Berlin}},
  publisher    = {{LUT Scientific and Expertise Publications}},
  title        = {{{Supporting Innovation Management for SMEs: A Tool for Idea Selection}}},
  year         = {{2021}},
}

@article{48520,
  author       = {{Hubner-Benz, Sylvia and Rudic, Biljana and Baum, Matthias}},
  issn         = {{0958-5192}},
  journal      = {{The International Journal of Human Resource Management}},
  keywords     = {{Management of Technology and Innovation, Organizational Behavior and Human Resource Management, Strategy and Management, Business and International Management, Industrial relations}},
  number       = {{11}},
  pages        = {{2137--2172}},
  publisher    = {{Informa UK Limited}},
  title        = {{{How entrepreneur’s leadership behavior and demographics shape applicant attraction to new ventures: the role of stereotypes}}},
  doi          = {{10.1080/09585192.2021.1893785}},
  volume       = {{34}},
  year         = {{2021}},
}