Journal Information
International Journal of Information Management
https://www.sciencedirect.com/journal/international-journal-of-information-management
Impact Factor:
8.210
Publisher:
Elsevier
ISSN:
0268-4012
Viewed:
2130
Tracked:
1
Call For Papers
The International Journal of Information Management (IJIM) is an international, peer-reviewed journal which aims to bring its readers the very best analysis and discussion in the developing field of information management.

The journal:

• Keeps the reader briefed with major papers, reports and reviews
• Is topical: Viewpoint articles and other regular features including Research Notes, Case Studies and a Reviews section help keep the reader up to date with current issues.
• Focusses on high quality papers that address contemporary issues for all those involved in information management and which make a contribution to advancing information management theory and practice.

Information is critical for the survival and growth of organisations and people. The challenge for Information management is now less about managing activities that collect, store and disseminate information. Rather, there is greater focus on managing activities that make changes in patterns of behaviour of customers, people, and organizations, and information that leads to changes in the way people use information to engage in knowledge focussed activities.

Information management covers a wide field and we encourage submissions from diverse areas of practice and settings including business, health, education and government.

Topics covered include:

Aspects of information management in learning organisations, health care (patients as well health workers and managers), business intelligence, security in organizations, social interactions and community development, knowledge management, information design and delivery, information for health care, Information for knowledge creation, legal and regulatory issues, IS-enabled innovations in information, content and knowledge management, philosophical and methodological approaches to information management research, new and emerging agendas for information research and reflective accounts of professional practice. 
Last updated by Dou Sun in 2021-03-07
Special Issues
Special Issue on Theory Building in Information Systems with Big Data-Driven Research
Submission Date: 2021-07-30

SCOPE: The availability of and access to big data has changed, as digital transformation initiatives are increasingly maturing globally, assisted by the growth of computational capabilities (Grover et al., 2020). Whilst data availability and access used to be a major challenge for information systems (IS) research, the current abundance of big data has now resolved this considerably. The theoretical building blocks of IS research come mainly from management theory, organization theory, behavioural theory, computer science theories, and systems theory (Barki, Rivard and Talbot, 1993). Apart from the core computer science theories, the other related theories enable IS researchers to explain how users interact with technology artefacts within individual, organizational, social, and political contexts and the impact of such interaction. Theory building, however, seems to have been disrupted by the current trends in big data-driven research, whereby the essence of contributing to theory is increasingly seen to be lacking at all levels of analysis. Concurrently, big data-driven research may inspire contributions towards design science and action research, whereby innovative solutions may also be created which help to define ideas, capabilities, practices, and innovative products or services through big data analysis (Angelopoulos et al., 2020; Hevner et al., 2004). While big data-driven studies are increasingly gaining popularity within IS research, they rarely introspect why a phenomenon is better explained by a theory and limit the analysis to what is happening by merely mining relevant data. Many such studies try to collect data and showcase applications of data science and visualization of unstructured, large volumes of data by demonstrating sentiment analysis, text mining, networks, and communities, without significant contribution to the theoretical context within which the problem is situated (Grover, 2020). Such studies do not attempt to explain why a particular phenomenon is witnessed and the data descriptions rarely contributes towards theory building. Thus, such studies have a weak connection with the relevant theories and IT artefacts, paying greater attention to data collection and analysis (Grover et al., 2020). Furthermore, since the data collection is often dated, such studies lose timeliness and do not attempt to explain causality (Grover, 2020). This special issue intends to facilitate theory-focused research, based on the analysis of big data as outlined in the directions provided in a recent opinion paper published in the journal (see Kar and Dwivedi, 2020). We specifically seek for theory building attempts in addressing grand individual, organizational, social or political problems. In particular, studies should demonstrate ample representative elements of big data such as high volume, velocity, variety, variability, veracity, visualization, and leading to value in understanding the phenomenon under examination. Authors need to explain why a phenomenon is happening rather that what is happening. The connection with IT artefacts must be significantly strong, while studies on emerging technologies are also of interest. Units of analysis could be individuals, groups or organizations. Of particular interest are theories explaining the nature of interaction among entities from more than a single unit type. Further, studies which mine more than a single type of unstructured data, and multi-methodology studies are also of interest, provided they contribute to theory building. Data could potentially be extracted from platforms like social media, communication networks, text-based data, images, multi-media, online communities, application-based data, sensor-based data, location-based data, data from smart-phones, smart devices and wearables. Other sources would also be welcome as long as the studies contribute theoretically. For submissions to this special issue, prospective authors are encouraged to revisit recent examples of such endeavours in the IS literature (Oh et al., 2015; Grover et al., 2019a; Grover et al., 2019b; Kar, 2020; Georgiadou et al., 2020; Rao et al., 2020). Research topics may include, but are not limited to: How can we explain user interactions, consumer experiences, and impacts for emerging business models like digital services, location-based services or platform economy? How can big data-driven research be used to explain digital service or emerging technology adoption, usage, and impact behaviour based on mining user generated content (UGC)? How can UGC be mined to explain user behaviour in socio-political contexts like opinion polarization, acculturation or communal changes? How can user engagement or disengagement in digital platforms or technologies like wearables be measured and explained based on big data analytics? How can we explain phenomena surrounding digital service usage, user migration and experiences based on network data (e.g. telecommunication services)? How can we develop typology of users or organizations based on UGC from online communities, social media and digital platforms? How can we explain relationships between organizations and other stakeholders based on UGC from digital platforms and online marketplaces and their impacts on engagement or disengagement? How can we model adverse impacts of disruptive technologies like artificial intelligence, blockchain, internet of things based on usage behaviour or UGC? How can we explain user behaviour and impacts based on data derived out of sensor-based data like wearables or other smart technologies used at home? How can we explain community driven behaviour for information and misinformation propagation, cascade and changes to the ecosystem? How can we model determinants of information quality, misinformation or disinformation based on UGC, social networks, and user attributes? How can we model computationally derived attributed of images and videos to study consumer engagement and interaction processes, and outcomes? How can theories be developed to explain grand socio-political problems and challenges of like pandemic management, sustainable development goals, political harmony, etc? How can methods of NeuroIS and facial recognition be used to explain individual and group level behaviour like personality traits and socio-political behavioural inclination? How can multi-modal data analysis be used to create knowledge surrounding the process and impacts of use of emerging smart technologies? Such explorations would need to ensure that theoretical contributions are well developed to contribute to IS research as highlighted in the editorial note (see Kar and Dwivedi, 2020) developed in context of the special issue. We welcome attempts to address domain, socio-political, structural or ontological, and epistemological questions through the development of management theories, organization theories, behavioural theories, and systems theories. Important Dates Manuscript submission deadline: 30-Jul-2021 Notification of Review: 30-Sep-2021 Revision due: 30-Nov-2021 Notification of 2nd Review: 30-Jan-2022 2nd Revision [if needed] due: 31-Mar-2022 Notification of Final Acceptance: 30-Apr-2022 Expected Online Publication: Within 8-10 weeks of Acceptance by SI Editors Submission Guidelines All submissions have to be prepared according to the Guide for Authors as published in the Journal’s website at: https://www.elsevier.com/journals/international-journal-of-information-management/0268-4012/guide-for-authors Authors should select “SI: Big data theory building”, from the “Choose Article Type” pull- down menu during the submission process. All contributions must not have been previously published or be under consideration for publication elsewhere. Link for submission of manuscripts : https://www.evise.com/evise/jrnl/IJIM A submission based on one or more papers that appeared elsewhere must bear major value-added extensions or updates (at least 85% of new material). Authors are requested to attach to the submitted paper their relevant, previously published articles and a summary document explaining the enhancements made in the journal’s version. All submitted papers will undergo a rigorous peer-review process that will consider programmatic relevance, scientific quality, significance, originality, style and clarity. The acceptance process will focus on papers that address original contributions in the form of theoretical, empirical and case research, leading to new perspectives on big data-driven theory building in information systems. Guest Editors Dr. Arpan Kumar Kar Department of Management Studies Indian Institute of Technology Delhi, India arpan_kar@yahoo.co.in, arpankar@iitd.ac.in Dr. Spyros Angelopoulos Tilburg School of Economics and Management Tilburg University, Netherlands s.angelopoulos@tilburguniversity.edu Dr. H. Raghav Rao College of Business University of Texas at San Antonio hr.rao@utsa.edu
Last updated by Dou Sun in 2021-03-07
Special Issue on Implications of Artificial Intelligence (AI) for Decision-Making and the Future of Work
Submission Date: 2021-11-30

By 2025, nearly a quarter (24%) of global GDP will come from digital technologies such as AI (World Economic Forum). AI has been claimed to offer almost unlimited potential across sectors and industries, ranging from reinventing business models to redesigning the customer experience to decision-making (Duan et al., 2019) to changing the nature and the future of work (Schwartz et al., 2019). AI in the workplace environment may affect the nature of work, replace specific roles currently performed by humans, or even better, enhance human capabilities (e.g. AI-enabled recruiting) (Dwivedi et al., 2019). It is estimated that till 2030, automation and AI will significantly impact the one third of our work activities (Manyika et al., 2017). This means that the current way we work and operate might be altered radically, which can potentially cause significant societal changes. · Challenges of AI in decision making AI in society and discriminatory bias Ethical, policy and governance implications AI decision-making Trust and transparency of AI-based decision making Digital transformation via AI AI and its impact on the nature and future of work Social, behavioral, and economic implications of AI AI-enabled changes to business strategy, business models and ecosystems AI-enabled changes to innovation and value creation processes Challenges and implications for Information Systems research Forms of Submission This Special Issue will consist of invited papers that are extended or modified versions of selected papers accepted at the 20th IFIP I3E Conference on e-Business, e-Services and e-Society (www.I3E2021.com), Galway, Ireland. The submission will be a substantial revision of the conference publication, and the authors will be required to submit a letter detailing the difference between their conference paper and the new version. The invited papers will go through peer review; if an invited conference paper does not receive a satisfactory review, the paper will not be considered for the Special Issue. Submission Instruction Manuscripts must be submitted in PDF format to the International Journal of Information Management online submission system at https://www.evise.com/profile/#/IJIM/login. Authors should select “SI: Decisions & Work”, from the “Choose Article Type” pull- down menu during the submission process. All contributions must not have been previously published or be under consideration for publication elsewhere. Paper submissions must conform to the format guidelines of International Journal of Information Management available at https://www.journals.elsevier.com/international-journal-of-information-management Important dates Submission deadline: 30th November 2021 Notification of first round reviews: 31st January 2022 Revised Manuscripts due: 31st March 2022 Notification of second round reviews: 31st May 2022 Final Version Due: 31st July 2022 Guest Editors Denis Dennehy: ( denis.dennehy@nuigalway.ie) National University of Ireland Galway, Ireland Anastasia Griva: ( anastasia.griva@nuigalway.ie) National University of Ireland Galway, Ireland Nancy Pouloudi: (pouloudi@aueb.gr) Athens University of Economics and Business, Greece Matti Mäntymäki: (matti.mantymaki@utu.fi) University of Turku, Finland Ilias Pappas: (Ilias Pappas
Last updated by Dou Sun in 2021-03-07
Special Issue on Meta-analysis applications in information systems domains
Submission Date: 2021-12-30

Scope: As the information systems (IS) discipline continues to mature and subsume various domains of research, opportunities to examine prior research, synthesize findings, resolve inconsistencies, identify gaps in knowledge, and determine directions for future research assume greater importance. These can be handled using meta-analysis, a family of methods which enables the aggregation and analysis of prior empirical findings (Glass et al. 1981; Hedges and Olkin 1985; Hunter and Schmidt 1990; Rosenthal 1991; Lipsey and Wilson 2001; Borenstein et al. 2009). Despite general criticisms such as “apples and oranges” and “garbage in, garbage out,” meta-analysis has received considerable attention in IS research over the last few decades (Jeyaraj and Dwivedi 2020). This special issue provides the opportunity for researchers to publish meta-analysis research in information systems and related domains. Prior IS literature offers guidance on various aspects of conducting meta-analysis (Hwang 1996; King and He 2005; Wu et al. 2018; Jeyaraj and Dwivedi 2020). All types of meta-analysis studies (i.e., both exploratory and confirmatory meta-analysis studies using reported effect sizes or derived metrics) as described in Jeyaraj and Dwivedi (2020) are encouraged. Papers that offer advances in meta-analysis methods, refinements of prior meta-analysis research, or fresh perspectives of meta-analysis research are also welcome. Important Dates Manuscript submission deadline: 30-Dec-2021 Notification of review: 30-Apr-2022 Revision due: 30-Jun-2022 Notification of second review: 30-Aug-2022 Second revision (if needed) due: 15-Sep-2022 Notification of final acceptance:30-Sep-2022 Expected publication: TBD Submission Guidelines All submissions have to be prepared according to the Guide for Authors as published in the Journal’s website at: https://www.elsevier.com/journals/international-journal-of-information-management/0268-4012/guide-for-authors Authors should select “SI: Meta-analysis in IS”, from the “Choose Article Type” pull- down menu during the submission process. All contributions must not have been previously published or be under consideration for publication elsewhere. Link for submission of manuscripts: https://www.editorialmanager.com/jjim/default.aspx A submission based on one or more papers that appeared elsewhere must bear major value-added extensions or updates (at least 85% of new material). Authors are requested to attach to the submitted paper their relevant, previously published articles and a summary document explaining the enhancements made in the journal’s version. All submitted papers will undergo a rigorous peer-review process that will consider programmatic relevance, scientific quality, significance, originality, style and clarity. Guest Editors Anand Jeyaraj Wright State University, Dayton, OH, USA Phone: +1-937-775-2189 Email: anand.jeyaraj@wright.edu Jennifer Gerow Virginia Military Institute, Lexington, VA, USA Phone: +1-540-464-7278 Email: gerowje@vmi.edu Mark Hwang Central Michigan University, Mount Pleasant, MI, USA Phone: +1-989-774-5900 Email: mark.hwang@cmich.edu Nicholas Roberts Colorado State University, Fort Collins, CO, USA Phone: +1-970-491-2871 Email: Nick.Roberts@colostate.edu Tiago Oliveira NOVA Information Management School (NOVA IMS) Universidade Nova de Lisboa, Lisboa, Portugal Phone: +351-213828610 Email: toliveira@novaims.unl.pt
Last updated by Dou Sun in 2021-03-07
Special Issue on Emerging digital technologies and applications for SMEs
Submission Date: 2021-12-30

In the current digital era, small and medium-sized enterprises (SMEs) use digital technologies to grow their online businesses alongside their offline operations. The digital environment provides numerous opportunities for entrepreneurs who start and run SMEs to have an impact and grow their businesses. Retail industries and operations have had to adapt to the digital environment in order to adjust to the needs of customers around the world during the COVID-19 lockdown. There is a strong need for digital technologies in order to grow businesses with a restricted budget and limited resources. Emerging technologies, especially in data analytics (Sun et al., 2020), enterprise communication and artificial intelligence, are paving the way for SMEs’ growth and optimization. Emerging digital technologies have created new opportunities along with new legal challenges, particularly in relation to copyright, trademarks, patents, royalties and licensing. Using digital technologies can offer a more efficient or useful way of reshaping processes. The idea is not only to replicate an existing service digitally, but also to use technologies to make that service substantially better. As companies adopt digital tools to create new processes or replace existing ones, they affect other key areas such as workplace culture and customer experience. With digital transformation (Castagna et al., 2020; Quinton et al., 2018), companies are rethinking everything they do, from internal systems to online and personal customer interactions. While the concept of emerging digital technologies is nothing new, it can offer a valuable tool for companies of all sizes from all industries, resulting in better business performance, cost advantages and competitive advantages, especially in the post-COVID-19 world. Artificial intelligence (AI) has fast become a popular application for many business sectors because it focuses on building intelligent machines capable of solving specific problems, much like people can. More and more companies are developing AI applications, cutting costs and making AI accessible to a wide range of businesses (Duan et al., 2019). AI also fuels other popular technologies, such as automation and chatbots (Ghezzi & Cavallo, 2020), which enable professionals in many fields to complete processes more efficiently and accurately. AI-equipped tools improve internal business operations and allow employees to develop their creative skills and make data-driven decisions (Duan et al., 2019). Smart technologies for customer support in SMEs (Kamble et al., 2020; Kwofie & Tetteh, 2020) enable these firms to smarten up their processes and bring efficiency and speed to their operations by leveraging conversational AI, machine learning and natural language processing to handle queries from customers instantly. It is difficult to manage workflows single-handedly with overloaded responsibilities in terms of marketing, administration and other areas. Therefore, using digital technologies and chatbots to automate processes is critical. Automating the process of dealing with customer queries instantly gives high customer satisfaction, which boosts revenue growth. There is enough scope for transforming this area and stimulating the overall growth of the economy. With the proliferation of emerging technologies (such as AI, blockchain, the cloud, and the Internet of Things), their reach will continue to expand. To support SMEs, there are numerous initiatives to empower small businesses, such as digital payments. SMEs can take this opportunity to continue to grow ever faster. SMEs that adopt cloud technology are likely to leverage these opportunities. The main reason is that cloud technology (Liu et al., 2020) is advanced, affordable and easy to use. Password management, customer relationship management and e-mail management are major challenges for SMEs. Small businesses can improve their operations and productivity enormously by moving to the cloud. Doing so will increase their revenue, thereby setting them ahead of the competition. This special issue provides an opportunity for researchers and academicians working in this area to publish their research articles on the real-time development of SMEs with emerging digital technologies. The proposed special issue is targeted at (but not restricted to) the following topics: The role of emerging digital technologies for SMEs Effective ways of implementing emerging digital technologies in SMEs in the future The design and development of a workflow model for the digital transformation of SMEs The importance of emerging digital technologies in the synthesis of SMEs’ decision-making processes Frontiers in digital technologies in SMEs New trends in interactive decision-making processes with emerging digital technologies Knowledge representation and reasoning with the digital platforms of SMEs Enhancements to re-representation in SMEs’ business intelligence A systematic perspective of intelligent decision-making processes with digital transformations Automation in business using digital ecosystems Innovative ways of using digital technologies for effective revenue growth in SMEs Important Dates: Manuscript submission deadline: 30-Dec-2021 Notification of Review: 30-April-2022 Revision due: 30-Jun-2022 Notification of 2nd Review: 30-Aug-2022 2nd Revision [if needed] due: 15-Sep-2022 Notification of Final Acceptance: 30-Sep-2022 Submission Guidelines All submissions have to be prepared according to the Guide for Authors as published in the Journal’s website at: https://www.elsevier.com/journals/international-journal-of-information-management/0268-4012/guide-for-authors Authors should select “SI: Digitalization and SMEs”, from the “Choose Article Type” pull-down menu during the submission process. All contributions must not have been previously published or be under consideration for publication elsewhere. Link for submission of manuscripts: https://www.evise.com/evise/jrnl/IJIM A submission based on one or more papers that appeared elsewhere must bear major value-added extensions or updates (at least 50% of new material). Authors are requested to attach to the submitted paper their relevant, previously published articles and a summary document explaining the enhancements made in the journal’s version. All submitted papers will undergo a rigorous peer-review process that will consider programmatic relevance, scientific quality, significance, originality, style and clarity. The acceptance process will focus on papers that address original contributions in the form of theoretical, empirical and case research, leading to new perspectives on Digital Technologies and Applications for SMEs. Guest Editors *Prof. Domingo Ribeiro-Soriano (Managing Guest Editor) Universitat de València, Spain Email: domingo.ribeiro@uv.es *Prof. Vijayakumar Varadarajan The University of New South Wales, Sydney, Australia Email: Vijayakumar.varadarajan@gmail.com
Last updated by Dou Sun in 2021-03-07
Special Issue on Digital Platforms and Transformational Entrepreneurship
Submission Date: 2022-01-31

Scope: The landscape of entrepreneurship has changed strongly in recent years and a new phenomenon is spreading rapidly, namely transformational entrepreneurship. This emergent phenomenon is linked to the need to implement effective and efficient entrepreneurial behaviors that address global challenges (including unemployment, economic underperformance and societal evolution) (Maas & Jones, 2019). In this vein, entrepreneurial activity continues to evolve due to technological enhancement. In particular, recent developments in technology (Duan et al., 2019; Dwivedi et al., 2019) have led to new forms of entrepreneurship (Nambisan, 2017). Among the new technologies that have entered the global arena, digital platforms are significant new players (Hu et al., 2016; McIntyre & Srinivasan, 2017; Sutherland et al., 2018). Digital platforms offer a high number of opportunities for entrepreneurs and their ventures (such as inputs for innovation). This rise of multi-sided platforms represent an important venue for value creation, appropriation, and innovation: this is commonly known as platformization (Nambisan et al., 2018; Song, 2019). Platforms are digital spaces which allow entrepreneurs to connect with other businesses as well as with customers. These platforms represent a new business model that use technology to connect people, organizations, and resources in an interactive ecosystem in which huge amounts of value can be created and exchanged (Parker et al., 2016). Digital platforms favor both knowledge sharing and collaboration among users, ventures, and other players by leveraging network effects (Sahut et al., 2019). In particular, a digital multi-sided platform is the key intermediary for transaction (of goods and services) as well as the exchanges (of information and knowledge) to facilitate entrepreneurial innovation and value creation (Song, 2019).These interactions and exchanges among users in digital platforms create entrepreneurial opportunities for those that can recognize them (Song, 2019). A number of these platforms replace the venture’s role in orchestrating the set of actors (Srinivasan & Venkatraman, 2018). Entrepreneurs leverage digital platforms to commercialize their business (Kraus et al., 2019) and develop products and innovation (Hsieh & Wu, 2018). A recent and increasing use of platforms is crowdfunding. Through specific digital platforms entrepreneurs collect funds from a crowd of investors (mainly amateurs) to support their ventures (Troise et al., 2020a). In this case, digital platforms host crowdfunding campaigns and these platforms are also a means to share knowledge and information (Troise & Tani, 2020). Among the main elements to consider in terms of digital platforms are their positioning within the digital ecosystem, their design in terms of technology and architecture, and the relationships to build legitimacy (Srinivasan & Venkatraman, 2018). In the current scenario characterized by an emergency situation like the COVID-19 pandemic, a high number of entrepreneurs and their ventures face significant transformations and increasingly leverage new technologies to manage and maintain their activities (Dwivedi et al., 2020). During the COVID-19 lockdown, in fact, digital platforms are widely used (Troise et al., 2020b) by both consumers and entrepreneurs. New digital platforms have transformed the nature of uncertainty inherent in entrepreneurial processes and outcomes, in fact, entrepreneurial processes reflect incremental paths facilitated by these platforms (showing that these processes are less bounded than in the traditional economy) (Nambisan, 2016). However research on digital platforms in the context of transformational entrepreneurship are less investigated. Currently, studies on digital platforms and entrepreneurship focus mainly on business models or digital ecosystems (Sussan & Acs, 2017; Sahut et al., 2019), on organizational or governance aspects (at the firm level) and on entrepreneurial strategies (at the individual level) (Srinivasan & Venkatraman, 2018). This special issue calls for the submission of empirical and conceptual studies that tackle the specificities presented by digital platforms and transformational entrepreneurship. In particular we seek contributions that offer novel insights on the role of digital platforms for transformational entrepreneurship in the digital age as well as in emergency situations. Studies in these fields related to entrepreneurship are relatively new and fragmented in their focus (Olanrewaju et al., 2020). This call for papers aims to explore and exploit the opportunities related to multi-sided platforms and their effects for transformational entrepreneurship in order to enhance the current knowledge for the players involved (in particular scholars, practitioners, policy makers, entrepreneurs, organizations, Authorities). Therefore, this call for papers aims to enlarge the discussion on this emerging topic, in particular embracing innovative perspectives, and to contribute to the current debate on the connections between digital platforms and transformational entrepreneurship in order to shed new lights. Papers that embrace different approaches and/or levels of analysis as well as adopt an international perspective are especially welcomed. Papers could focus on - but are not limited to - the following topics: Digital platforms to foster transformational entrepreneurship Digital platforms and impacts on transformational entrepreneurship at the individual level Digital platforms and impacts on transformational entrepreneurship at the firm level The importance of digital platforms for entrepreneurs in emergency situations Challenges and opportunities of multi-sided digital platform for transformational entrepreneurship Motivational drivers of the two sides, in particular for entrepreneurs, for joining digital platforms Interactions between digital platforms and transformational entrepreneurship Use of digital platforms in challenging environments and scenarios New frontiers in transformational entrepreneurship Advantages and disadvantages of the use of digital platforms for transformational entrepreneurship Role of digital platforms in changing the entrepreneurial ecosystem Potential benefits and challengers of digital platforms Multi-sided digital platforms enhancing the foundations of transformational entrepreneurship Impact of digital platforms onentrepreneurial processes and business configurations Such explorations would need to ensure that theoretical and empirical contributions are well developed to contribute to a high quality of the special issue. We welcome both theoretical and empirical studies, using a wide variety of methods, that advances the extant knowledge. We will welcome contributions from several disciplines as well as papers based on either quantitative or qualitative approaches. Important Dates Manuscript submission deadline: 31-Jan-2022 Notification of Review: 31-Mar-2022 Revision due: 30-May-2022 Notification of 2nd Review: 30-Jul-2022 2nd Revision [if needed] due: 31-Sep-2022 Notification of Final Acceptance: 30-Oct-2022 Expected Online Publication: Within 8-10 weeks of Acceptance by SI Editors Submission Guidelines All submissions have to be prepared according to the Guide for Authors as published in the Journal’s website at: https://www.elsevier.com/journals/international-journal-of-information-management/0268-4012/guide-for-authors Authors should select “SI: Digital platforms”, from the “Choose Article Type” pull- down menu during the submission process. All contributions must not have been previously published or be under consideration for publication elsewhere. Link for submission of manuscripts: https://www.editorialmanager.com/jjim/Default.aspx A submission based on one or more papers that appeared elsewhere must bear major value-added extensions or updates (at least 85% of new material). Authors are requested to attach to the submitted paper their relevant, previously published articles and a summary document explaining the enhancements made in the journal’s version. All submitted papers will undergo a rigorous peer-review process that will consider programmatic relevance, scientific quality, significance, originality, style and clarity. Guest Editors Prof. Paul Jones School of Management Swansea University, UK w.p.jones@swansea.ac.uk Dr. Ciro Troise Department of Economics University of Campania “Luigi Vanvitelli”, Italy ciro.troise@unicampania.it Prof. Giovanni Schiuma Department of Computer Science and Economics University of Basilicata, Italy giovanni.schiuma@unibas.it
Last updated by Dou Sun in 2021-03-07
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