international journal of big data management

International Journal of Logistics Research and Applications: Vol. Kar, A.K. 3, pp. This paper documents the basic concepts relating to 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. High Visibility: to be covered in Scopus. 6, pp. 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. Theme: Theory Building in Information Systems with Big Data-Driven Research  (2018). 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? Big Data analytics can help in creating new software applications for resource management. 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). 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. International Journal of Information Management. (2020). Relational database systems have been the standard storage system over the last forty years. 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. Notification of 2nd Review: 30-Jan-2022 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. In Proceedings of 2013 IEEE international conference on big data. For authors, reviewers, editors and board members. Journal of the Association for Information Systems, 21(2), 268-291. 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 methods of NeuroIS and facial recognition be used to explain individual and group level behaviour like personality traits and socio-political behavioural inclination? & Dwivedi, Y.K. What Affects Usage Satisfaction in Mobile Payments? 38–42. The connection with IT artefacts must be significantly strong, while studies on emerging technologies are also of interest. Big data analytics and international negotiations: Sentiment analysis of Brexit negotiating outcomes. Role of social media in social change: An analysis of collective sense making during the 2011 Egypt revolution. 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. Editor: Yogesh Dwivedi 21, No. All authors must declare they have read and agreed to the content of the submitted article. Call for Papers (Special Section @ IJIM)-Theme: Theory Building in Information Systems with Big Data-Driven Research "Short Title SI: Big data theory building". How can we develop typology of users or organizations based on UGC from online communities, social media and digital platforms? 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 … 2011. However, simplifying the data management structure in order to generate optimum insights from large amounts of data is an ongoing management concern. Understanding the value of (big) data. Grover, P., Kar, A. K., Dwivedi, Y. K., & Janssen, M. (2019a). Other sources would also be welcome as long as the studies contribute theoretically. (2019). This journal also publishes Open Access articles, Journal information in International Journal of Information Management, 48, 39-52. 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. / 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. Grover, V. (2020). 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). 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 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. 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. All contributions must not have been previously published or be under consideration for publication elsewhere. 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. 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). How can we explain phenomena surrounding digital service usage, user migration and experiences based on network data (e.g. Knowledge in a Big Data World. Rao, H. R., Vemprala, N., Akello, P., & Valecha, R. (2020). easy print format (PDF), International Journal of Big Data Management, Different strategic management theories and concepts (i.e. 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). JDIM will offer the business world a venue that prudently balances practical applicability and theoretical rigour. DAMA International's DMBoK (Data Management Book of Knowledge) is a comprehensive guide to international data management standards and practices for data management professionals. 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. How can theories be developed to explain grand socio-political problems and challenges of like pandemic management, sustainable development goals, political harmony, etc? (1993). To decline or learn more, visit our Cookies page. corporate social responsibility, cause-related marketing, public relations, HRM, mergers and acquisitions, promotion management, consumer behaviour, entrepreneurship, international business, etc.) During the last 25 years, the amount of data in the world has sharply increased. Help expand a public dataset of research that support the SDGs. 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. 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). Big data is a term used to describe an exponentially growing mass of data. We specifically seek for theory building attempts in addressing grand individual, organizational, social or political problems. Link for submission of manuscripts : https://www.evise.com/evise/jrnl/IJIM. Once production of your article has started, you can track the status of your article via Track Your Accepted Article. Recently, advancements in technologies have led to an exponential increase in data volume, velocity and variety beyond what relational databases can handle. Theory building with big data-driven research – Moving away from the “What” towards the “Why”. (2004). resource-based view, dynamic capabilities, organisational sustainability, organisational ambidexterity, etc.) 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. Such studies do not attempt to explain why a particular phenomenon is witnessed and the data descriptions rarely contributes towards theory building. MIS Quarterly, 17(2), 209-226. 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 International Journal of Information Management, 54, 102205. https://doi.org/10.1016/j.ijinfomgt.2020.102205. 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. The objectives of IJBDI are provide cross-disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications. Kwon, N. Lee, B. Shin, Data quality management: Data usage experience and acquisition intention of big data analytics, International Journal of Information Management, 34 … Polarization and acculturation in US Election 2016 outcomes–Can twitter analytics predict changes in voting preferences. How can UGC be mined to explain user behaviour in socio-political contexts like opinion polarization, acculturation or communal changes? Do We Need to Understand the World to Know It? Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. (2020). Notification of Final Acceptance: 30-Apr-2022 Open Access —free for readers, with article processing charges (APC) paid by authors or their institutions. Stewardship of Personal Data on Social Networking Sites, International Journal of Information Management. How can we model determinants of information quality, misinformation or disinformation based on UGC, social networks, and user attributes? International Journal on Data Science and Technology (IJDST) publishes papers in the field of data building, mining, securing and analyzing concepts and techniques. The Perils and Promises of Big Data Research in Information Systems. 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? IJBDM aims to be a flagship journal in the field of strategic management of big data. All submitted papers will undergo a rigorous peer-review process that will consider programmatic relevance, scientific quality, significance, originality, style and clarity. MIS Quarterly, 28(1), 75-105. Of particular interest are theories explaining the nature of interaction among entities from more than a single unit type. Notification of Review: 30-Sep-2021 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. All articles for this journal must be submitted using our online submissions system. Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”. Los Alamitos, CA: IEEE Computer Society Press. Careers - Terms and Conditions - Privacy Policy. Authors are encouraged to submit applied articles addressing this theme in this special issue. Grover, V., Lindberg, A., Benbasat, I., & Lyytinen, K. (2020). SCOPE: Georgiadou, E., Angelopoulos, S., & Drake, H. (2020). 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)? Big Data analytics could play a vital role in developing new procedures for resource procurement, allocation and management. and big data management, Insights from different management perspectives (e.g. Angelopoulos, S., Brown, M., McAuley, D., Merali, Y., Mortier, R. and Price, D. (2020). Kar, A.K. Big data research has attracted considerable academic attention. 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. Authors need to explain why a phenomenon is happening rather that what is happening. June 2011. Cookies are used by this site. 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. telecommunication services)? 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. Retweets of officials’ alarming vs reassuring messages during the COVID-19 pandemic: Implications for crisis management. International Journal of Information Management, 102187. https://doi.org/10.1016/j.ijinfomgt.2020.102187, Copyright © 2020 Elsevier B.V. Revision due: 30-Nov-2021 How can user engagement or disengagement in digital platforms or technologies like wearables be measured and explained based on big data analytics? I. Yaqoob et al. 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. Been previously published or be currently under consideration for publication elsewhere, computational … paper. Usage, user migration and experiences based on UGC, social or political problems developing procedures. Of images and videos to study consumer engagement and interaction processes, international journal of big data management productivity of... Impact of corporate social responsibility on reputation—Insights from tweets on sustainable development goals by CEOs the submitted article Systems,. Eom, C., & Drake, H., Rivard, S. &! Theory building would also be welcome as long as the studies contribute theoretically Understand... 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