... Jiwat is currently serving on the Editorial Board of International Journal of Project Management. All submitted papers will undergo a rigorous peer-review process that will consider programmatic relevance, scientific quality, significance, originality, style and clarity. The Perils and Promises of Big Data Research in Information Systems. 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)? Stewardship of Personal Data on Social Networking Sites, International Journal of Information Management. The Journal of Data, Information and Management (JDIM) is a unique and premiere platform for disseminating most up-to-date research and development in the data-information-management interdisciplinary problems. The connection with IT artefacts must be significantly strong, while studies on emerging technologies are also of interest. 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. The purpose of this paper is to explore the social process of Big Data and predictive analytics (BDPA) use for logistics and supply chain management (LSCM), focusing on interactions among technology, human behavior and organizational context that occur at the technology’s post-adoption phases in retail supply chain (RSC) organizations. It intends to attract rigorous research from scholars all over the world that will significantly contribute to the evolution of novel thought in the strategic management of big data research and practice. Other sources would also be welcome as long as the studies contribute theoretically. 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. In 2011, the International Data Corporation estimated the total volume of data to equal 1.8ZB, equivalent to 1.8 billion terabytes (Chen et al., 2014). International Journal of Information Management, 54, 102205. https://doi.org/10.1016/j.ijinfomgt.2020.102205. & Dwivedi, Y.K. 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). Grover, P., Kar, A. K., & Ilavarasan, P. V. (2019b). 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. Notification of 2nd Review: 30-Jan-2022 All authors must declare they have read and agreed to the content of the submitted article. IJBDM articles are valuable in understanding how we could establish a simplified data management system to develop greater insights from ongoing inflows and outflows of large amounts of data. Source Normalized Impact per Paper (SNIP): How can we explain user interactions, consumer experiences, and impacts for emerging business models like digital services, location-based services or platform economy? corporate social responsibility, cause-related marketing, public relations, HRM, mergers and acquisitions, promotion management, consumer behaviour, entrepreneurship, international business, etc.) / International Journal of Information Management 36 (2016) 1231–1247 1233 Table 1 List of acronyms. Recently, “Big Data” has attracted not only researchers’ but also manufacturers’ attention along with the development of information technology. Submitted articles should not have been previously published or be currently under consideration for publication elsewhere. Editor: Yogesh Dwivedi Indian Institute of Technology Delhi, India, arpan_kar@yahoo.co.in, arpankar@iitd.ac.in, Tilburg School of Economics and Management. International Journal of Logistics Research and Applications: Vol. 3, pp. 21, No. Research topics may include, but are not limited to: 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. Manuscript submission deadline: 30-Jul-2021 (2019). Moreover, he has served as a special issue editor for Wiley's journal Concurrency and Computation: Practice and Experience (CPE) on the Cloud and big data computing, as well as for Elsevier's FGCS on emerging trends, issues and challenges in internet of things, big data … 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). and big data management, Insights from different management perspectives (e.g. Link for submission of manuscripts : https://www.evise.com/evise/jrnl/IJIM. How can we develop typology of users or organizations based on UGC from online communities, social media and digital platforms? This paper documents the basic concepts relating to big data. Big Data analytics could play a vital role in developing new procedures for resource procurement, allocation and management. 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. 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). Authors need to explain why a phenomenon is happening rather that what is happening. 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. Information Systems Research, 26(1), 210-223. Call for Papers (Special Section @ IJIM) Furthermore, since the data collection is often dated, such studies lose timeliness and do not attempt to explain causality (Grover, 2020). Georgiadou, E., Angelopoulos, S., & Drake, H. (2020). How can we model computationally derived attributed of images and videos to study consumer engagement and interaction processes, and outcomes? 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. Design Science in Information Systems Research. Conference papers may only be submitted if the paper has been completely re-written (. International Journal of Information Management, 102187. https://doi.org/10.1016/j.ijinfomgt.2020.102187, Copyright © 2020 Elsevier B.V. 2nd Revision [if needed] due: 31-Mar-2022 Careers - Terms and Conditions - Privacy Policy. How can UGC be mined to explain user behaviour in socio-political contexts like opinion polarization, acculturation or communal changes? 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. Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. DAMA International's DMBoK (Data Management Book of Knowledge) is a comprehensive guide to international data management standards and practices for data management professionals. This Special Issue of Omega, The International Journal of Management Science is intended to present the recent advances in decision making based on big data. telecommunication services)? 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? His research interests include IT management & strategy, big data, research methodology, and trust issues in e-business. International Journal on Data Science and Technology (IJDST) publishes papers in the field of data building, mining, securing and analyzing concepts and techniques. 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). It attempts to consolidate the hitherto fragmented discourse on what constitutes big data, what metrics define the size and other characteristics of big data, and what tools and technologies exist to harness the potential of … Polarization and acculturation in US Election 2016 outcomes–Can twitter analytics predict changes in voting preferences. Authors are encouraged to submit applied articles addressing this theme in this special issue. The journal presents original papers, reviews and letters. The International Journal of Data Science and Analytics (JDSA) brings together thought leaders, researchers, industry practitioners, and potential users of data science and analytics, to develop the field, discuss new trends and opportunities, exchange ideas and practices, and promote transdisciplinary and cross-domain collaborations. Notification of Review: 30-Sep-2021 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. Papers on statistics, biostatistics, econometrics, computational … Notification of Final Acceptance: 30-Apr-2022 Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”. 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? Call for Papers (Special Section @ IJIM)-Theme: Theory Building in Information Systems with Big Data-Driven Research "Short Title SI: Big data theory building". Kwon, N. Lee, B. Shin, Data quality management: Data usage experience and acquisition intention of big data analytics, International Journal of Information Management, 34 … During the last 25 years, the amount of data in the world has sharply increased. resource-based view, dynamic capabilities, organisational sustainability, organisational ambidexterity, etc.) Of particular interest are theories explaining the nature of interaction among entities from more than a single unit type. Cookies are used by this site. I. Yaqoob et al. Retweets of officials’ alarming vs reassuring messages during the COVID-19 pandemic: Implications for crisis management. Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. Briefs and research notes are not published in this journal. All articles for this journal must be submitted using our online submissions system. Units of analysis could be individuals, groups or organizations. Big Data analytics can help in creating new software applications for resource management. Kar, A.K. 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. MIS Quarterly, 17(2), 209-226. easy print format (PDF), International Journal of Big Data Management, Different strategic management theories and concepts (i.e. Rao, H. R., Vemprala, N., Akello, P., & Valecha, R. (2020). Big data is a term used to describe an exponentially growing mass of data. Any study would be relevant to IJBDM that focuses on the strategic management of data analytics to optimise the implications of large amounts of data for managerial decision making. Role of social media in social change: An analysis of collective sense making during the 2011 Egypt revolution. The main goal of this journal is to advance the understanding the concept of data security and analysis in distributed environments. 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). A keyword classification scheme for IS research literature: an update. 38–42. SCOPE: Open Access —free for readers, with article processing charges (APC) paid by authors or their institutions. IJBDM is essential reading for academics, research students and professionals at all levels in public and private sectors for access to novel insights into the strategic management of big data. IJBDM aims to be a flagship journal in the field of strategic management of big data. How can theories be developed to explain grand socio-political problems and challenges of like pandemic management, sustainable development goals, political harmony, etc? The mission of the International Journal of Big Data and Analytics in Healthcare (IJBDAH) is to provide timely and innovative research on the ways in which big data is revolutionizing the medical and healthcare fields. June 2011. (2018). Big data: The next frontier for innovation, competition, and productivity. Recently, advancements in technologies have led to an exponential increase in data volume, velocity and variety beyond what relational databases can handle. Big data research has attracted considerable academic attention. 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). Big data analytics and international negotiations: Sentiment analysis of Brexit negotiating outcomes. 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). Theme: Theory Building in Information Systems with Big Data-Driven Research  Theory building with big data-driven research – Moving away from the “What” towards the “Why”. Revision due: 30-Nov-2021 International Journal of Information Management, 48, 39-52. 579-596. (2020). Los Alamitos, CA: IEEE Computer Society Press. How can we model adverse impacts of disruptive technologies like artificial intelligence, blockchain, internet of things based on usage behaviour or UGC? In this paper, the concept, characteristics, and applications of “Big Data” are briefly introduced first. 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 model determinants of information quality, misinformation or disinformation based on UGC, social networks, and user attributes? Impact of big data on supply chain management. What Affects Usage Satisfaction in Mobile Payments? Technological Forecasting and Social Change, 145, 438-460. 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). MIS Quarterly, 28(1), 75-105. To decline or learn more, visit our Cookies page. 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. In this context, IJBDM encourages research at the intersection of strategic management and big data analytics to understand how large amounts of data could systematically and strategically be managed, in order to improve the practical implications of data for managerial decision making, along with socio-economic development. How can we explain phenomena surrounding digital service usage, user migration and experiences based on network data (e.g. Silicon Valley, CA, October 6–9, 2013. Download the ‘Understanding the Publishing Process’ PDF, https://doi.org/10.1016/j.ijinfomgt.2020.102205, https://doi.org/10.1007/s10796-020-10045-0, https://doi.org/10.1016/j.ijinfomgt.2020.102187, Check the status of your submitted manuscript in the. Journal of Global Information Technology Management, 23(1), 1-4. The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. How can we explain community driven behaviour for information and misinformation propagation, cascade and changes to the ecosystem? Hevner, A. R., et al. For authors, reviewers, editors and board members. Understanding the value of (big) data. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. High Visibility: to be covered in Scopus. International Journal of Information Management, 51, 102048. However, simplifying the data management structure in order to generate optimum insights from large amounts of data is an ongoing management concern. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, … 12, No. 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? (1993). Kar, A.K. (2004). Such studies do not attempt to explain why a particular phenomenon is witnessed and the data descriptions rarely contributes towards theory building. INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 6, ISSUE 03, MARCH 2017 ISSN 2277-8616 142 IJSTR©2017 www.ijstr.org Improving Healthcare Using Big Data … IJBDM is interested in original conceptual and empirical (qualitative, quantitative or mixed) studies on the strategic management of big data, and publishes research papers; viewpoints; practical (reflection on experience) papers; conceptual papers; case studies; systematic literature reviews; general reviews; thought-leadership commentary; policy dialogue; essays; short generative interest papers to introduce new ideas and debates on timely topics; book reviews; interviews with and bio-notes of elite scholars of the field; news and information. The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. Knowledge in a Big Data World. All contributions must not have been previously published or be under consideration for publication elsewhere. Oh, O., Eom, C., & Rao, H. R. (2015). How can multi-modal data analysis be used to create knowledge surrounding the process and impacts of use of emerging smart technologies. 6, pp. Relational database systems have been the standard storage system over the last forty years. Short Title SI: Big data theory building It covers a wide range of fields including statistics, biostatistics, big data, artificial intelligence, business, economics and finance, biological science, medical and medicine research etc. INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 9, ISSUE 05, MAY 2020 ISSN 2277-8616 273 IJSTR©2020 www.ijstr.org Enhancing Data Processing And Management For Big-Data Intensive Applications Based On Cloud Computing R.Rengasamy,M.Chidambaram 226-240. International Journal of Information Management Grover, V., Lindberg, A., Benbasat, I., & Lyytinen, K. (2020). Information Systems Frontiers, https://doi.org/10.1007/s10796-020-10045-0. (2020). Help expand a public dataset of research that support the SDGs. Grover, V. (2020). The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; … In Proceedings of 2013 IEEE international conference on big data. for big data exploration, visualisation and analysis, Stakeholder relationship management and marketing for big data management, Impact of cross-cultural management on big data analytics, Ethical concerns, data privacy and legal issues in big data management, Timely recognition and proactive categorisation of increasing volumes of data from multiple data streams/sources, Using common business/management terms to scale big data, so that the data analysis terms can be understood easily across different departments of an organisation, Effectual interactive (large data) exploration, visualisation, analysis and exploitation techniques for large and dynamic sets of volatile raw data, based on a stable method for information abstraction, sampling and summarisation for addressing management problems, IT-enhanced business and management platforms and their implications for big data management, Knowledge management and knowledge transfer and big data management, Cross-disciplinary and cross-functional studies on the strategic management of big data, Comparative studies across different markets, sectors and industries to underpin the big data management process, Influence of different political, environmental and non-government perspectives on big data analytics and management, Public and private sector collaboration and big data management. International Journal of Information Management. It intends to attract rigorous research from scholars all over the world that will significantly contribute to the evolution of novel thought in the strategic management of big data research and practice. Grover, P., Kar, A. K., Dwivedi, Y. K., & Janssen, M. (2019a). Google Scholar; McKinsey Global Institute. A full statement of our. The purpose of this paper is to discuss the potential advantages of combining enterprise systems, big data, and data analytics into managerial accounting, and to provide a management accounting data analytics framework that combines these concepts and techniques using the four perspectives of the balanced scorecard. Analysis be used to explain individual and group level behaviour like personality traits and socio-political behavioural inclination dataset. More, visit our Cookies page reputation—Insights from tweets on sustainable development goals by CEOs and Promises of big.! 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