Call for Papers (Special Section @ IJIM)-Theme: Theory Building in Information Systems with Big Data-Driven Research "Short Title SI: Big data theory building". 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. We specifically seek for theory building attempts in addressing grand individual, organizational, social or political problems. International Journal of Information Management SCOPE: 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. 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? International Journal of Information Management, 51, 102048. 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. How can we explain community driven behaviour for information and misinformation propagation, cascade and changes to the ecosystem? 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. 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. Recently, advancements in technologies have led to an exponential increase in data volume, velocity and variety beyond what relational databases can handle. 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 … 579-596. 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. Retweets of officials’ alarming vs reassuring messages during the COVID-19 pandemic: Implications for crisis management. 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). (2018). 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). Authors are encouraged to submit applied articles addressing this theme in this special issue. IJBDM aims to be a flagship journal in the field of strategic management of big data. Understanding the value of (big) data. Impact of big data on supply chain management. International Journal on Data Science and Technology (IJDST) publishes papers in the field of data building, mining, securing and analyzing concepts and techniques. 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. 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 research has attracted considerable academic attention. / International Journal of Information Management 36 (2016) 1231–1247 1233 Table 1 List of acronyms. Information Systems Frontiers, https://doi.org/10.1007/s10796-020-10045-0. A keyword classification scheme for IS research literature: an update. This journal also publishes Open Access articles, Journal information in 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? Los Alamitos, CA: IEEE Computer Society Press. International Journal of Healthcare Management: Vol. A full statement of our. 226-240. Impact of corporate social responsibility on reputation—Insights from tweets on sustainable development goals by CEOs. JDIM will offer the business world a venue that prudently balances practical applicability and theoretical rigour. 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. Angelopoulos, S., Brown, M., McAuley, D., Merali, Y., Mortier, R. and Price, D. (2020). International Journal of Information Management, 48, 39-52. Rao, H. R., Vemprala, N., Akello, P., & Valecha, R. (2020). Authors should select “SI: Big data theory building”, from the “Choose Article Type” pull- down menu during the submission process. 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. I. Yaqoob et al. International Journal of Information Management, 102187. https://doi.org/10.1016/j.ijinfomgt.2020.102187, Copyright © 2020 Elsevier B.V. In Proceedings of 2013 IEEE international conference on big data. In this paper, the concept, characteristics, and applications of “Big Data” are briefly introduced first. Furthermore, since the data collection is often dated, such studies lose timeliness and do not attempt to explain causality (Grover, 2020). 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. Grover, P., Kar, A. K., & Ilavarasan, P. V. (2019b). Call for Papers (Special Section @ IJIM) Theory building with big data-driven research – Moving away from the “What” towards the “Why”. 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). 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. Relational database systems have been the standard storage system over the last forty years. 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. Role of social media in social change: An analysis of collective sense making during the 2011 Egypt revolution. Georgiadou, E., Angelopoulos, S., & Drake, H. (2020). Polarization and acculturation in US Election 2016 outcomes–Can twitter analytics predict changes in voting preferences. Conference papers may only be submitted if the paper has been completely re-written (. The objectives of IJBDI are provide cross-disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications. 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 … 3, pp. Stewardship of Personal Data on Social Networking Sites, International Journal of Information Management. ... Jiwat is currently serving on the Editorial Board of International Journal of Project Management. Kwon, N. Lee, B. Shin, Data quality management: Data usage experience and acquisition intention of big data analytics, International Journal of Information Management, 34 … telecommunication services)? Short Title SI: Big data theory building Theme: Theory Building in Information Systems with Big Data-Driven Research 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). Abbreviation Description BI 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. 12, No. June 2011. easy print format (PDF), International Journal of Big Data Management, Different strategic management theories and concepts (i.e. How can theories be developed to explain grand socio-political problems and challenges of like pandemic management, sustainable development goals, political harmony, etc? All authors must declare they have read and agreed to the content of the submitted article. Big data: The next frontier for innovation, competition, and productivity. The journal presents original papers, reviews and letters. 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). & Dwivedi, Y.K. 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; … The Perils and Promises of Big Data Research in Information Systems. 38–42. 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). 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 explain phenomena surrounding digital service usage, user migration and experiences based on network data (e.g. Such studies do not attempt to explain why a particular phenomenon is witnessed and the data descriptions rarely contributes towards theory building. 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. 2011. International Journal of Production Economics, 154, 72–80. How can multi-modal data analysis be used to create knowledge surrounding the process and impacts of use of emerging smart technologies. Big Data analytics can help in creating new software applications for resource management. Big Data analytics could play a vital role in developing new procedures for resource procurement, allocation and management. Link for submission of manuscripts : https://www.evise.com/evise/jrnl/IJIM. Do We Need to Understand the World to Know It? Other sources would also be welcome as long as the studies contribute theoretically. Notification of Review: 30-Sep-2021 All contributions must not have been previously published or be under consideration for publication elsewhere. 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. 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. A systematic perspective on the applications of big data analytics in healthcare management. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, … Grover, V., Lindberg, A., Benbasat, I., & Lyytinen, K. (2020). 6, pp. Briefs and research notes are not published in this journal. Technological Forecasting and Social Change, 145, 438-460. Journal of Global Information Technology Management, 23(1), 1-4. Of particular interest are theories explaining the nature of interaction among entities from more than a single unit type. 21, No. and big data management, Insights from different management perspectives (e.g. 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 … Hevner, A. R., et al. 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). Cookies are used by this site. (2020). Careers - Terms and Conditions - Privacy Policy. Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. Units of analysis could be individuals, groups or organizations. 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. Editor: Yogesh Dwivedi 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 … 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. 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. Submitted articles should not have been previously published or be currently under consideration for publication elsewhere. 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? Notification of Final Acceptance: 30-Apr-2022 Grover, V. (2020). Kar, A.K. 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