Journal Information
Electronic Markets
https://link.springer.com/journal/12525
Impact Factor:
7.100
Publisher:
Springer
ISSN:
1019-6781
Viewed:
6904
Tracked:
0
Call For Papers
Aims and scope

Electronic Markets (EM) is a leading academic journal that offers a forum for research on all forms of networked business. EM recognizes the transformational role of information and communication technology (IT) in changing the interaction between organizations and customers, which is present in social networks, electronic commerce, supply chain management, or customer relationship management. Electronic markets, in particular, refer to forms of networked business where multiple suppliers and customers interact for economic purposes within one or among multiple tiers in economic value chains. As a broad concept, there are many forms of electronic markets: In a narrow sense, electronic markets are mainly conceived as allocation platforms with dynamic price discovery mechanisms involving atomistic relationships. Popular examples originate from the financial (e.g., CBOT, XETRA) and energy markets (e.g., EEX, ICE).    

In a broader sense, price discovery is not critical for Electronic Markets. These solutions emphasize longer-term relationships and processes for enabling business transactions (e.g., electronic procurement solutions) and/or knowledge management (e.g., product development, problem and incident management). EM covers diverse aspects of networked business and welcomes research from a technological, organizational, societal, and/or political perspective. Since EM is a methodologically pluralistic journal, quantitative and qualitative research methods are both welcome as long as the studies are methodologically sound. Conceptual and theory-development papers, empirical hypothesis testing, and case-based studies are all welcome.

More information on EM's scope as well as some examples are provided in Editorial 24/3, https://link.springer.com/article/10.1007/s12525-014-0163-9.

Officially cited as: Electron Markets
Last updated by Dou Sun in 2024-07-17
Special Issues
Special Issue on Smart Tourism 2.0: Perspectives with geospatial data and AI
Submission Date: 2024-10-31

This special issue seeks to offer comprehensive insights into tourism supply, demand, and markets, through a spatial-temporal-psychological (STP) lens in the digital era. Smart tourism refers to tourism supported by integrated efforts at an ICT-enabled destination (smart destination). It involves the collection, exchange, and processing of data, offering technology-mediated tourism experiences (smart experience), and interconnecting stakeholders in the business ecosystem (smart business) (Gretzel et al., 2015). As tourism involves visitors' spatial movements between places, geospatial technologies (e.g., GPS-equipped smartphones) can gather data about tourists, firms, and their spatial interactions. A clear understanding of the geospatial aspects of smart tourism activities will provide vital insights for destination planning, marketing, and management (Yang et al., 2023). In smart destinations, various actors, such as tourism firms (e.g., Booking.com, Airbnb), tourists, and natural or constructed environments engage in immersive interactions, which can be monitored through the use of geospatial technologies, personal digital gadgets, and digital/social networking platforms (e.g., Google, Facebook). This special issue aims to advance the field of geospatial smart tourism by making new insights and methodological contributions on how and why ICT mediation affects or changes spatio-temporal patterns in smart tourism contexts. As spatial configurations can significantly influence perceptions, decisions, and behaviors (Ebert et al., 2022), we encourage researchers to enhance their understanding of tourism suppliers and buyers by integrating spatio-temporal data from location-aware devices with qualitative and experimental data (Koo et al., 2021; Tilly et al., 2015). Furthermore, researchers can explore the root causes of spatially heterogeneous visitor behaviors by incorporating relevant psychological mechanisms (Jang & Kim, 2022) and conducting experimental studies (Jang et al., 2021), alongside utilizing geospatial data. In addition to established tools like Geographic Information Systems (GIS) and spatial econometrics (Koo et al., 2023), this issue delves into the potential of Geospatial Artificial Intelligence (GeoAI), which refers to spatially explicit AI techniques used for geographic knowledge discovery and beyond (Janowicz et al., 2020). Applications of GeoAI can accelerate the real-world understanding of the smart tourism field by integrating spatio-temporal data with AI techniques (e.g., machine learning & deep learning) to extract valuable geographical insights (Gao, 2021; VoPham et al., 2018). Consequently, both theoretical frameworks and practical applications necessitate novel insights into the spatio-temporal ("where and when"), geo-psychological ("where and why"), and geoAI ("where and so what") approaches within the realm of smart tourism. Central issues and topics Please note that all submissions should fall into the scope of Electronic Markets (https://www.electronicmarkets.org/about-em/scope/). Otherwise, they cannot start the review process. Possible topics of submissions include, but are not limited to: - Conceptualizations of tourists' spatio-temporal-psychological dimensions in smart tourism - Spatio-temporal tourism service design and implementation - Contributions of spatio-temporal service offerings to tourism firms' performance - Recommended roles of search engines (e.g., Google), conversational generative AI (e.g., Bard), online travel agency platforms (e.g., Booking.com), social networking platforms (e.g., Facebook), and peer-to-peer home rental platforms (e.g., Airbnb) for reducing tourists' search costs - Contributions of spatio-temporal-psychological service offerings to tourist outcomes - The role of spatio-temporal social networking in enhancing tourist engagement and satisfaction in smart destinations - Impacts of government actions during disasters (e.g., earthquakes) or crises (e.g., COVID-19) on tourists' spatio-temporal patterns and behavioral engagement - Appropriate instruments to measure and model spatio-temporal tourist engagement - Combined use of secondary data (e.g., location and time) and primary data (e.g., survey, experiments) for a better understanding spatio-temporal patterns in smart destinations - Improving the interpretability of GeoAI models in spatio-temporal tourist behaviors Submission Electronic Markets is a Social Science Citation Index (SSCI)-listed journal (IF 8.5 in 2022) in the area of information management and information systems. Submissions should be original, unpublished, and not under consideration at any other journal. Both quantitative and qualitative research methods are welcome, provided the research exhibits strong methodological rigor. Contributions can take the form of conceptual and theoretical development papers, empirical hypothesis testing, position papers, case-based studies, and more. All papers which pass the desk-reject phase will undergo a double-blind peer-review process. Submissions must be made via the journal's submission system (https://www.editorialmanager.com/elma/) and comply with the journal's formatting standards. Authors should clearly indicate that their submission is intended for the special issue on Smart Tourism. The preferred average article length is approximately 10,000 words, excluding references. Instructions, templates, and general information are available at https://www.electronicmarkets.org/authors/general-information/. If you would like to discuss any aspect of this special issue, you may either contact the guest editors or the Editorial Office. Keywords Smart tourism, geospatial data, spatio-temporality, geo-psychology, GeoAI Important deadline Submission deadline: October 31, 2024
Last updated by Dou Sun in 2024-07-17
Special Issue on Digital Transformation and Service
Submission Date: 2024-12-06

Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence (AI) 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, understanding and shaping the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems) is of growing importance (Beverungen et al. 2022). In particular, the conceptualization and implications of public data spaces and the development of related ecosystems provide promising research opportunities. Against this backdrop, recent technological advancements in generative AI (GenAI) transform all types of services and question many taken-for-granted assumptions about value co-creation among humans and machines in service ecosystems (Fabri et al. 2023, Demetis & Lee 2018, Vargo et al. 2023). In this context, it is of growing importance to consider principles of digital responsibility, comprising sustainability, participation, functionality, data privacy, transparency, fairness, accountability, and norms and values (Lobschat et al., 2021; Wirtz et al., 2023). Employing a service lens, it is unclear how we can design and implement AI on an individual and collective level in service ecosystems while ensuring that value co-creation and allocation stick to the principles of digital responsibility (Trier et al., 2023). In particular, there is a need to investigate two distinct yet interconnected facets of AI in service contexts. On the one hand, we need to examine how AI can be leveraged to innovate and transform diverse processes in data spaces and service ecosystems while implementing the principles of digital responsibility. On the other hand, we need to develop prescriptive knowledge about how AI-based services ought to be designed and implemented in data spaces and service ecosystems based on these principles. Central issues and topics Possible topics of submissions include, but are not limited to: + Service systems engineering + Digital service system transformation + Value co-creation and value co-destruction in service ecosystems + Datafication of service + Service innovation in digital service ecosystems + Decentralized business models and business model innovationTrust, privacy, and identity in service Ecosystems + Digital responsibility of service + (Corporate) digital responsibility in service organizations and ecosystems + Human-centered digital transformation + Design of transparent and sustainable AI-based service + AI for the sustainable transformation of service ecosystems + Large language models for service systems + New vistas for service in different domains, e.g., industry, smart cities, and health care Submissions Electronic Markets is a Social Science Citation Index (SSCI)-listed journal (IF 8.5 in 2022) in information systems. With this call for papers, we aim to enhance the current topical collection on "Digital Transformation and Service." We encourage authors of diverse backgrounds to submit original contributions with a broad range of methodological approaches, including conceptual, design-oriented, qualitative, and quantitative research. This call is open for all contributions but also invites selected papers from the International Conference on Wirtschaftsinformatik 2023 (WI23). All papers must fit the journal scope (for more information, see www.electronicmarkets.org/about-em/scope/) and will undergo a double-blind peer-review process. Submissions must be made via the journal's submission system and comply with the journal's formatting standards. The preferred article length is approximately 10,000 words, excluding references. Instructions, templates, and general information are available at www.electronicmarkets.org/authors/general-information/. If you would like to discuss any aspect of this special issue, you may contact the guest editors. Keywords Digital Transformation, Service, Generative AI, Ecosystems, Digital Responsibility Important deadline Submission Deadline: December 6, 2024
Last updated by Dou Sun in 2024-07-17
Special Issue on Regulatory competition and global governance in digital markets
Submission Date: 2025-04-01

In recent years, the European Union has famously started to regulate digital markets, in particular by taking the reins on data, digital platforms, and artificial intelligence (Fast et al., 2023; Johnson et al., 2023; Paul, 2023; Peukert et al. 2022). The General Data Protection Regulation (Dorfleitner et al. 2023; Engelmann et al. 2018), the Data Governance Act, the Digital Services Act, the Digital Markets Act, the Data Act, and most recently the AI Act will significantly impact whether and how companies do business in Europe. Regulations of digital technologies and markets (De Vaujany, 2018; Easley et al. 2018) have also been implemented in China and the United States or are expected to be implemented there (e.g., Li & Wang, 2024). This emerging global governance landscape for the digital economy raises the question of how competition among private and public regulators (Kokshagina et al., 2023) and entire jurisdictions will affect the strategic choices of companies, the development and diffusion of innovative technologies, and thus ultimately the welfare and wellbeing of societies. Diverging regulatory rules and standards can allow companies in digital markets to strategically choose their location in regions in order to benefit from better regulations or to engage in regulatory arbitrage. A highly illustrative example of regulatory arbitrage is corporate law, where companies may choose the limited liability status in a jurisdiction with the lowest minimum capital requirement. Other traditional areas in which firms are allowed to choose from a variety of different legal regimes include contract law, bankruptcy law and the rules governing the proceedings of an arbitration court. As of today, it is largely unclear which regulation attracts digital businesses and how governments will then adapt their regulations. The special issue invites conceptual, theoretical, and empirical contributions that address, but are not limited to, the mentioned topics below. Submissions should provide novel insights and contribute to the academic discourse on regulatory competition and global governance in the digital economy, offering both theoretical depth and practical relevance. Central issues and topics Possible topics and exemplary questions of submissions include, but are not limited to: + How does regulatory competition affect digital technologies, digital markets, and the well-being of societies? + Does competition among regulators leads to a "race to the top" or "race to the bottom" in digital markets (Smuha 2021)? + What drives legal arbitrage in data, digital platforms, and artificial intelligence business models? + How does regulatory competition affect data-driven innovation and the diffusion of digital technologies? + When developing artificial intelligence, do companies actually choose locations where AI systems require less protection or liability is laxer? Do digital platforms and their users benefit from stricter content regulations and more stringent neutrality obligations? + Which institutions can facilitate the development of standards and governance mechanisms in a global digital economy with diverging interests and values? + What forms of governance and (self-)regulation can promote data sharing (Otto & Jarke, 2019)? Is there empirical evidence for a Brussels effect when it comes to the regulation of digital technologies? + How does regulatory competition affect the enforcement of data protection and privacy rules? Submission Electronic Markets is a Social Science Citation Index (SSCI)-listed journal (IF 8.5 in 2022) in the area of information management and information systems. Submissions should be original, unpublished, and not under consideration at any other journal. Both quantitative and qualitative research methods are welcome, provided the research exhibits strong methodological rigor. Contributions can take the form of conceptual and theoretical development papers, empirical hypothesis testing, position papers, case-based studies, and more. All papers which pass the desk-reject phase will undergo a double-blind peer-review process. Submissions must be made via the journal's submission system and comply with the journal's formatting standards. Authors should clearly indicate that their submission is intended for the special issue on Regulatory competition and global governance in digital markets. The preferred average article length is approximately 10,000 words, excluding references. Instructions, templates, and general information are available at www.electronicmarkets.org/authors/general-information. If you would like to discuss any aspect of this special issue, you may either contact the guest editors or the Editorial Office. Important deadlines + Submission deadline: April 1, 2025 + Planned publication of special issue: Autumn 2025 In addition, an optional paper development workshop (PDW) will be organized at the Technical University in Dresden, Germany: + Submission deadline for PDW: October 31, 2024 + PDW at TU Dresden: January 31, 2025
Last updated by Dou Sun in 2024-07-17
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