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. Georgiadou, E., Angelopoulos, S., & Drake, H. (2020). Journal of Global Information Technology Management, 23(1), 1-4. Technological Forecasting and Social Change, 145, 438-460. 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? The main goal of this journal is to advance the understanding the concept of data security and analysis in distributed environments. 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. MIS Quarterly, 17(2), 209-226. 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. How can theories be developed to explain grand socio-political problems and challenges of like pandemic management, sustainable development goals, political harmony, etc? 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. 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. 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. International Journal of Healthcare Management: Vol. Big Data analytics could play a vital role in developing new procedures for resource procurement, allocation and management. corporate social responsibility, cause-related marketing, public relations, HRM, mergers and acquisitions, promotion management, consumer behaviour, entrepreneurship, international business, etc.) telecommunication services)? Relational database systems have been the standard storage system over the last forty years. Such studies do not attempt to explain why a particular phenomenon is witnessed and the data descriptions rarely contributes towards theory building. Notification of Final Acceptance: 30-Apr-2022 Polarization and acculturation in US Election 2016 outcomes–Can twitter analytics predict changes in voting preferences. 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). Help expand a public dataset of research that support the SDGs. 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 … How can we develop typology of users or organizations based on UGC from online communities, social media and digital platforms? Authors are encouraged to submit applied articles addressing this theme in this special issue. ... Jiwat is currently serving on the Editorial Board of International Journal of Project Management. 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 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. 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). Other sources would also be welcome as long as the studies contribute theoretically. Briefs and research notes are not published in this journal. 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)? 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). How can we explain community driven behaviour for information and misinformation propagation, cascade and changes to the ecosystem? How can UGC be mined to explain user behaviour in socio-political contexts like opinion polarization, acculturation or communal changes? International Journal of Information Management. 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). 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. 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. Conference papers may only be submitted if the paper has been completely re-written (. To decline or learn more, visit our Cookies page. Cookies are used by this site. Hevner, A. R., et al. Editor: Yogesh Dwivedi Kar, A.K. The journal presents original papers, reviews and letters. International Journal of Information Management, 102187. https://doi.org/10.1016/j.ijinfomgt.2020.102187, Copyright © 2020 Elsevier B.V. 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. For authors, reviewers, editors and board members. International Journal of Logistics Research and Applications: Vol. Impact of big data on supply chain management. 21, No. How can user engagement or disengagement in digital platforms or technologies like wearables be measured and explained based on big data analytics? All articles for this journal must be submitted using our online submissions system. Units of analysis could be individuals, groups or organizations. 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). International Journal of Big Data Management About IJBDM that focuses on the strategic management of data analytics to optimise the implications of large amounts of data for managerial … Manuscript submission deadline: 30-Jul-2021 Grover, P., Kar, A. K., Dwivedi, Y. K., & Janssen, M. (2019a). Theory building with big data-driven research – Moving away from the “What” towards the “Why”. However, simplifying the data management structure in order to generate optimum insights from large amounts of data is an ongoing management concern. JDIM will offer the business world a venue that prudently balances practical applicability and theoretical rigour. June 2011. This journal also publishes Open Access articles, Journal information in Revision due: 30-Nov-2021 / International Journal of Information Management 36 (2016) 1231–1247 1233 Table 1 List of acronyms. Journal of the Association for Information Systems, 21(2), 268-291. The objectives of IJBDI are provide cross-disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications. 226-240. Some examples of prospective thematic areas are presented below; however, they are not exhaustive: IJBDM aims to be a flagship journal in the field of strategic management of big data. 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. Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”. Grover, V. (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. 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 … It also aims to promote and establish an effective channel of communication between industries, government agencies, academic and research institutions and persons concerned with the complexity of big data. & Dwivedi, Y.K. Of particular interest are theories explaining the nature of interaction among entities from more than a single unit type. Call for Papers (Special Section @ IJIM)-Theme: Theory Building in Information Systems with Big Data-Driven Research "Short Title SI: Big data theory building". 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. Notification of 2nd Review: 30-Jan-2022 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? 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. easy print format (PDF), International Journal of Big Data Management, Different strategic management theories and concepts (i.e. The connection with IT artefacts must be significantly strong, while studies on emerging technologies are also of interest. How can we model determinants of information quality, misinformation or disinformation based on UGC, social networks, and user attributes? Big data is a term used to describe an exponentially growing mass of data. Grover, V., Lindberg, A., Benbasat, I., & Lyytinen, K. (2020). IJBDM disseminates cutting-edge theoretical developments and phenomena including best practices that are instrumental to bridging the research and practice gap in data management, with an aim of undertaking accurate management decisions, at the right time, centred on the right dataset and focusing on the right target audience. Abbreviation Description BI International Journal of Information Management (1993). Design Science in Information Systems Research. International Journal of Information Management, 54, 102205. https://doi.org/10.1016/j.ijinfomgt.2020.102205. 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. (2020). 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, 51, 102048. Silicon Valley, CA, October 6–9, 2013. Link for submission of manuscripts : https://www.evise.com/evise/jrnl/IJIM. and big data management, Insights from different management perspectives (e.g. Grover, P., Kar, A. K., & Ilavarasan, P. V. (2019b). 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 … (2020). (2018). Big Data analytics can help in creating new software applications for resource management. Papers on statistics, biostatistics, econometrics, computational … Submitted articles should not have been previously published or be currently under consideration for publication elsewhere. International Journal of Information Management, 48, 39-52. 38–42. 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. Do We Need to Understand the World to Know It? Careers - Terms and Conditions - Privacy Policy. 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? During the last 25 years, the amount of data in the world has sharply increased. A systematic perspective on the applications of big data analytics in healthcare management. 6, pp. 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). I. Yaqoob et al. This paper documents the basic concepts relating to big data. All submitted papers will undergo a rigorous peer-review process that will consider programmatic relevance, scientific quality, significance, originality, style and clarity. 3, pp. All authors must declare they have read and agreed to the content of the submitted article. 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. Open Access —free for readers, with article processing charges (APC) paid by authors or their institutions. Indian Institute of Technology Delhi, India, arpan_kar@yahoo.co.in, arpankar@iitd.ac.in, Tilburg School of Economics and Management. 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. Retweets of officials’ alarming vs reassuring messages during the COVID-19 pandemic: Implications for crisis management. A keyword classification scheme for IS research literature: an update. Kar, A.K. Google Scholar; McKinsey Global Institute. Understanding the value of (big) data. 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. Impact of corporate social responsibility on reputation—Insights from tweets on sustainable development goals by CEOs. 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. Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. 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). Expected Online Publication: Within 8-10 weeks of Acceptance by SI Editors, 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. Theme: Theory Building in Information Systems with Big Data-Driven Research  In Proceedings of 2013 IEEE international conference on big data. The International Journal of Data Analytics (IJDA) publishes the latest and high-quality research papers and methodologies in data analytics. Big Data and Cognitive Computing (ISSN 2504-2289) is an international, scientific, peer-reviewed, open access journal of big data and cognitive computing published quarterly online by MDPI. A full statement of our. 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? Angelopoulos, S., Brown, M., McAuley, D., Merali, Y., Mortier, R. and Price, D. (2020). Barki, H., Rivard, S., & Talbot, J. His research interests include IT management & strategy, big data, research methodology, and trust issues in e-business. IJBDM aims to be a flagship journal in the field of strategic management of big data. Los Alamitos, CA: IEEE Computer Society Press. DAMA International's DMBoK (Data Management Book of Knowledge) is a comprehensive guide to international data management standards and practices for data management professionals. Recently, “Big Data” has attracted not only researchers’ but also manufacturers’ attention along with the development of information technology. 2011. How can we model computationally derived attributed of images and videos to study consumer engagement and interaction processes, and outcomes? How can we explain phenomena surrounding digital service usage, user migration and experiences based on network data (e.g. 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. 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. SCOPE: All contributions must not have been previously published or be under consideration for publication elsewhere. Authors need to explain why a phenomenon is happening rather that what is happening. We specifically seek for theory building attempts in addressing grand individual, organizational, social or political problems. Kwon, N. Lee, B. Shin, Data quality management: Data usage experience and acquisition intention of big data analytics, International Journal of Information Management, 34 … What Affects Usage Satisfaction in Mobile Payments? Authors should select “SI: Big data theory building”, from the “Choose Article Type” pull- down menu during the submission process. 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. 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. 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. Knowledge in a Big Data World. How can we model adverse impacts of disruptive technologies like artificial intelligence, blockchain, internet of things based on usage behaviour or UGC? Furthermore, since the data collection is often dated, such studies lose timeliness and do not attempt to explain causality (Grover, 2020). Oh, O., Eom, C., & Rao, H. R. (2015). High Visibility: to be covered in Scopus. 12, No. 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. Information Systems Frontiers, https://doi.org/10.1007/s10796-020-10045-0. 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. Applicability and theoretical rigour your article via track your Accepted article communities, social or political problems single unit.. Technologies have led to an exponential increase in data volume, velocity and variety beyond what relational databases can.... Content of the submitted article individual and group level behaviour like personality and... 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