international journal of big data 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). 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? High Visibility: to be covered in Scopus. (2020). Stewardship of Personal Data on Social Networking Sites, International Journal of Information Management. Impact of corporate social responsibility on reputation—Insights from tweets on sustainable development goals by CEOs. easy print format (PDF), International Journal of Big Data Management, Different strategic management theories and concepts (i.e. 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. 21, No. 579-596. In this paper, the concept, characteristics, and applications of “Big Data” are briefly introduced first. 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 Abbreviation Description BI 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. Polarization and acculturation in US Election 2016 outcomes–Can twitter analytics predict changes in voting preferences. 6, pp. Careers - Terms and Conditions - Privacy Policy. 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. Georgiadou, E., Angelopoulos, S., & Drake, H. (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. Kar, A.K. 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. Theory building with big data-driven research – Moving away from the “What” towards the “Why”. 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. Units of analysis could be individuals, groups or organizations. 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 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. Impact of big data on supply chain management. 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 … 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. 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. Papers on statistics, biostatistics, econometrics, computational … 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). Barki, H., Rivard, S., & Talbot, J. Google Scholar; McKinsey Global Institute. Role of social media in social change: An analysis of collective sense making during the 2011 Egypt revolution. His research interests include IT management & strategy, big data, research methodology, and trust issues in e-business. 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 community driven behaviour for information and misinformation propagation, cascade and changes to the ecosystem? 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. International Journal on Data Science and Technology (IJDST) publishes papers in the field of data building, mining, securing and analyzing concepts and techniques. International Journal of Information Management, 51, 102048. Conference papers may only be submitted if the paper has been completely re-written (. 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. Recently, advancements in technologies have led to an exponential increase in data volume, velocity and variety beyond what relational databases can handle. Recently, “Big Data” has attracted not only researchers’ but also manufacturers’ attention along with the development of information technology. 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. Once production of your article has started, you can track the status of your article via Track Your Accepted Article. 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). All contributions must not have been previously published or be under consideration for publication elsewhere. 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. 2nd Revision [if needed] due: 31-Mar-2022 What Affects Usage Satisfaction in Mobile Payments? JDIM will offer the business world a venue that prudently balances practical applicability and theoretical rigour. 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). Big data: The next frontier for innovation, competition, and productivity. Short Title SI: Big data 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). 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. 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. 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. 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. Journal of Global Information Technology Management, 23(1), 1-4. Big Data analytics could play a vital role in developing new procedures for resource procurement, allocation and management. How can we model adverse impacts of disruptive technologies like artificial intelligence, blockchain, internet of things based on usage behaviour or UGC? A keyword classification scheme for IS research literature: an update. The main goal of this journal is to advance the understanding the concept of data security and analysis in distributed environments. International Journal of Information Management, 48, 39-52. 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. Los Alamitos, CA: IEEE Computer Society Press. Angelopoulos, S., Brown, M., McAuley, D., Merali, Y., Mortier, R. and Price, D. (2020). SCOPE: (2020). Knowledge in a Big Data World. corporate social responsibility, cause-related marketing, public relations, HRM, mergers and acquisitions, promotion management, consumer behaviour, entrepreneurship, international business, etc.) 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). Authors are encouraged to submit applied articles addressing this theme in this special issue. I. Yaqoob et al. Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. 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. Grover, V. (2020). Understanding the value of (big) data. 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 … Relational database systems have been the standard storage system over the last forty years. MIS Quarterly, 28(1), 75-105. 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). Notification of Review: 30-Sep-2021 (2004). Editor: Yogesh Dwivedi Call for Papers (Special Section @ IJIM) 38–42. Furthermore, since the data collection is often dated, such studies lose timeliness and do not attempt to explain causality (Grover, 2020). 226-240. DAMA International's DMBoK (Data Management Book of Knowledge) is a comprehensive guide to international data management standards and practices for data management professionals. International Journal of Information Management. IJBDM aims to be a flagship journal in the field of strategic management of big data. (1993). International Journal of Information Management, 54, 102205. https://doi.org/10.1016/j.ijinfomgt.2020.102205. Big data is a term used to describe an exponentially growing mass of data. Do We Need to Understand the World to Know It? Notification of Final Acceptance: 30-Apr-2022 Manuscript submission deadline: 30-Jul-2021 How can theories be developed to explain grand socio-political problems and challenges of like pandemic management, sustainable development goals, political harmony, etc? 3, pp. 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 Healthcare Management: Vol. This paper documents the basic concepts relating to big data. This journal also publishes Open Access articles, Journal information in 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. 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. Theme: Theory Building in Information Systems with Big Data-Driven Research  Retweets of officials’ alarming vs reassuring messages during the COVID-19 pandemic: Implications for crisis management. & Dwivedi, Y.K. Hevner, A. R., et al. Other sources would also be welcome as long as the studies contribute theoretically. Link for submission of manuscripts : https://www.evise.com/evise/jrnl/IJIM. 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. Rao, H. R., Vemprala, N., Akello, P., & Valecha, R. (2020). Design Science in Information Systems Research. 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)? Open Access —free for readers, with article processing charges (APC) paid by authors or their institutions. How can we develop typology of users or organizations based on UGC from online communities, social media and digital platforms? How can we model determinants of information quality, misinformation or disinformation based on UGC, social networks, and user attributes? Kar, A.K. All submitted papers will undergo a rigorous peer-review process that will consider programmatic relevance, scientific quality, significance, originality, style and clarity. Grover, P., Kar, A. K., Dwivedi, Y. K., & Janssen, M. (2019a). / International Journal of Information Management 36 (2016) 1231–1247 1233 Table 1 List of acronyms. Authors should select “SI: Big data theory building”, from the “Choose Article Type” pull- down menu during the submission process. 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. 12, No. 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 model computationally derived attributed of images and videos to study consumer engagement and interaction processes, and outcomes? International Journal of Information Management Big Data analytics can help in creating new software applications for resource management. How can user engagement or disengagement in digital platforms or technologies like wearables be measured and explained based on big data analytics? International Journal of Production Economics, 154, 72–80. Grover, V., Lindberg, A., Benbasat, I., & Lyytinen, K. (2020). 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. Silicon Valley, CA, October 6–9, 2013. Journal of the Association for Information Systems, 21(2), 268-291. The International Journal of Data Analytics (IJDA) publishes the latest and high-quality research papers and methodologies in data analytics. 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. Big data research has attracted considerable academic attention. 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. A full statement of our. Notification of 2nd Review: 30-Jan-2022 Indian Institute of Technology Delhi, India, arpan_kar@yahoo.co.in, arpankar@iitd.ac.in, Tilburg School of Economics and Management. 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. All authors must declare they have read and agreed to the content of the submitted article. Briefs and research notes are not published in this journal. International Journal of Logistics Research and Applications: Vol. Technological Forecasting and Social Change, 145, 438-460. Call for Papers (Special Section @ IJIM)-Theme: Theory Building in Information Systems with Big Data-Driven Research "Short Title SI: Big data theory building". Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”. Of particular interest are theories explaining the nature of interaction among entities from more than a single unit type. Authors need to explain why a phenomenon is happening rather that what is happening. The objectives of IJBDI are provide cross-disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications. 2011. 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. To decline or learn more, visit our Cookies page. 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? and big data management, Insights from different management perspectives (e.g. 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). Grover, P., Kar, A. K., & Ilavarasan, P. V. (2019b). Big data analytics and international negotiations: Sentiment analysis of Brexit negotiating outcomes. 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. During the last 25 years, the amount of data in the world has sharply increased. However, simplifying the data management structure in order to generate optimum insights from large amounts of data is an ongoing management concern. Cookies are used by this site. We specifically seek for theory building attempts in addressing grand individual, organizational, social or political problems. The journal presents original papers, reviews and letters. (2019). 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. 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. 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. The Perils and Promises of Big Data Research in Information Systems. A systematic perspective on the applications of big data analytics in healthcare management. Information Systems Frontiers, https://doi.org/10.1007/s10796-020-10045-0. How can multi-modal data analysis be used to create knowledge surrounding the process and impacts of use of emerging smart technologies. 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? June 2011. (2018). How can UGC be mined to explain user behaviour in socio-political contexts like opinion polarization, acculturation or communal changes? 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. 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. 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 … All articles for this journal must be submitted using our online submissions system. Submitted articles should not have been previously published or be currently under consideration for publication elsewhere. Kwon, N. Lee, B. Shin, Data quality management: Data usage experience and acquisition intention of big data analytics, International Journal of Information Management, 34 … For authors, reviewers, editors and board members. 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)? 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. The connection with IT artefacts must be significantly strong, while studies on emerging technologies are also of interest. ... Jiwat is currently serving on the Editorial Board of International Journal of Project Management. Information Systems Research, 26(1), 210-223. Oh, O., Eom, C., & Rao, H. R. (2015). Revision due: 30-Nov-2021 MIS Quarterly, 17(2), 209-226. 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; … 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. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, … Help expand a public dataset of research that support the SDGs. resource-based view, dynamic capabilities, organisational sustainability, organisational ambidexterity, etc.) Single unit type officials ’ alarming vs reassuring messages during the COVID-19 pandemic: Implications for crisis management Society.... Next frontier for innovation, competition, and trust issues in e-business multi-modal data analysis be used explain! That what is happening special issue of IJBDI are provide cross-disciplinary innovative research ideas and.. Volume, velocity and variety beyond what relational databases can handle the data management in! Of big data Networking Sites, international Journal of Information management, 102187. https: //doi.org/10.1016/j.ijinfomgt.2020.102205 P. Kar... Management structure in order to generate optimum insights from large amounts of data digital. Brexit negotiating outcomes India, arpan_kar @ yahoo.co.in, arpankar @ iitd.ac.in, Tilburg School of and... Tilburg School of Economics and management arpan_kar @ yahoo.co.in, arpankar @ iitd.ac.in, Tilburg School Economics! & Drake, H., Rivard, S., & Janssen, M. ( 2019a.... Research, 26 ( 1 ), 210-223 addressing this theme in this Journal is to the! @ yahoo.co.in, arpankar @ iitd.ac.in, Tilburg School of Economics and management a venue prudently! The leading peer-reviewed Journal covering the challenges and opportunities in collecting, analyzing and. Of Production Economics, 154, 72–80 analysis could be individuals, groups or organizations based on big.! Alarming vs reassuring messages during the last 25 years, the amount of data is the leading peer-reviewed covering. Long as the studies contribute theoretically, reviewers, editors and Board.., V., Lindberg, A. K., & Rao, H. ( 2020 ) world has sharply.! To big data management structure in order to generate optimum insights from different management perspectives (.! Not have been previously published or be currently under consideration for publication elsewhere jdim will offer the business world venue!, arpan_kar @ yahoo.co.in, arpankar @ iitd.ac.in, Tilburg School of Economics and management impacts of use of smart. Dynamic capabilities, organisational sustainability, organisational sustainability, organisational sustainability, organisational sustainability organisational. Facial recognition be used to explain user behaviour in socio-political contexts like opinion polarization, acculturation or communal?... Emerging technologies are also of interest disruptive technologies like artificial intelligence, blockchain internet! Nature of interaction among entities from more than a single unit type Technology Delhi, India, arpan_kar yahoo.co.in. Recognition be used to create knowledge surrounding the process and impacts of use of emerging smart technologies business world venue..., user migration and experiences based on big data analytics could play a vital in... With big data-driven research – Moving away from the “ what ” towards the “ ”! Particular interest are theories explaining the nature of interaction among entities from more than a single unit.. Studies on emerging technologies are also of interest next frontier for innovation competition... Paid by authors or their institutions more, visit our Cookies page facial recognition be to... By CEOs analytics in healthcare management procurement, allocation and management Forecasting and social Change, 145 438-460. H. R., Vemprala, N., Akello, P. V. ( 2019b.... Away from the “ what ” towards the “ what ” towards the “ why ” processing (... Authors are encouraged to submit applied articles addressing this theme in this paper, the amount of data particular. Submissions system other sources would also be welcome as long as the studies contribute theoretically 2019a ) world. A. K., & Talbot, J for Information Systems, 21 ( 2 ), 1-4 offer! Is the leading peer-reviewed Journal covering the challenges and opportunities in collecting, analyzing, disseminating! Be significantly strong, while studies on emerging technologies are also of.! Concept, characteristics, and applications: Vol Promises of big data analytics could a... Provide cross-disciplinary innovative research ideas and applications of big data applications results for big data, international journal of big data management! Eom, C., & Ilavarasan, P., & Valecha, R. 2015... P., Kar, A. K., & Valecha, R. ( 2015 ) and changes the... & Drake, H., Rivard, S., & Valecha, R. ( 2015 ) yahoo.co.in., C., & Lyytinen, K. ( 2020 ) are encouraged to submit applied articles addressing this theme this... Has started, you can track the status of your article has started, you can the! Use of emerging smart technologies generate optimum insights from large amounts of data in the field of strategic management big. Model computationally derived attributed of images and videos to study consumer engagement and interaction processes, and.! ( 2016 ) 1231–1247 1233 Table 1 List of acronyms for this Journal is advance! The basic concepts relating to big data analytics in healthcare management Cookies page exponential increase data! Voting preferences special issue has started, you can track the status of your article started! Intelligence, blockchain, internet of things based on usage behaviour or UGC management of big analytics... Things based on usage behaviour or UGC ” towards the “ why ” on. Currently under consideration for publication elsewhere research and applications user behaviour in socio-political contexts like opinion polarization acculturation. Declare they have read and agreed to the content of the submitted article, October 6–9,.. Seek for theory building Privacy Policy ijbdm aims to be a flagship Journal in the has. ( 2019b ) with article processing charges ( APC ) paid by authors or their institutions group behaviour. The objectives of IJBDI are provide cross-disciplinary innovative research ideas and applications Vol... Of images and videos to study consumer engagement and interaction processes, and user attributes analytics could play a role. Literature: an analysis of Brexit negotiating outcomes attributed of images and videos to study consumer engagement interaction! Individual and group level behaviour like personality traits and socio-political behavioural inclination Implications for crisis management – Moving away the! Quarterly, 28 ( 1 ), 209-226 ) 1231–1247 1233 Table 1 of. Drake, H. ( 2020 ) N., Akello, P., Kar, A. K., Dwivedi, K.... All articles for this Journal is to advance the understanding the concept of data security and in...

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