A Model to Create Organizational Value with Big Data Analytics

被引:0
|
作者
Mirarab, Ali [1 ]
Mirtaheri, Seyedeh Leili [2 ]
Asghari, Seyed Amir [3 ]
机构
[1] Islamic Azad Univ, Qom Branch, Dept Comp Engn, Qom, Iran
[2] Kharazmi Univ, Elect & Comp Engn, Fac Engn, Tehran, Iran
[3] Kharazmi Univ, Elect & Comp Engn, Fac Engn, Tehran, Iran
来源
关键词
Value Creation; Big Data; Analytics; Model;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Value creation is a major factor not only in the sustainability of organizations but also in the maximization of profit, customer retention, business goals fulfillment, and revenue. When the value is intended to be created from Big Data scenarios, value creation entails being understood over a broader range of complexity. A question that arises here is how organizations can use this massive quantity of data and create business value? The present study seeks to provide a model for creating organizational value using Big Data Analytics (BDA). To this end, after reviewing the related literature and interviewing experts, the BDA-based organizational value creation model is developed. Accordingly, five hypotheses are formulated, and a questionnaire is prepared. Then, the respective questionnaire is given to the research statistical population (i.e., IT managers and experts, particularly those specializing in data analysis) to test the research hypotheses. In next phase, connections between model variables are scrutinized using the structural equation modeling (measurement and structural models). The results of the study indicate that investigating the infrastructures of the Big Data Analytics, as well as the capabilities of the organization and those of Big Data Analytics is the initial requirement to create organizational value using BDA. Thereby, the Big Data Analytics strategy is formulated, and ultimately, the organizational value is created as well.
引用
收藏
页码:69 / 79
页数:11
相关论文
共 50 条
  • [1] Big Data: The Structure & Value of Big Data Analytics
    Kim, Hak J.
    [J]. AMCIS 2015 PROCEEDINGS, 2015,
  • [2] Organizational performance and capabilities to analyze big data: do the ambidexterity and business value of big data analytics matter?
    Aljumah, Ahmad Ibrahim
    Nuseir, Mohammed T.
    Alam, Md. Mahmudul
    [J]. BUSINESS PROCESS MANAGEMENT JOURNAL, 2021, 27 (04) : 1088 - 1107
  • [3] Using Big Data Analytics to Create a Predictive Model for Joint Strike Fighter
    Norman, Ryan
    Bolin, Jason
    Powell, Edward T.
    Amin, Sanket
    Nacker, John
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 3590 - 3596
  • [4] RETRACTION: Organizational performance and capabilities to analyze big data: do the ambidexterity and business value of big data analytics matter?
    Aljumah, A., I
    Nuseir, M. T.
    Alam, M. M.
    [J]. BUSINESS PROCESS MANAGEMENT JOURNAL, 2024,
  • [5] Are firms ready to use big data analytics to create value? The role of structural and psychological readiness
    Ghasemaghaei, Maryam
    [J]. ENTERPRISE INFORMATION SYSTEMS, 2019, 13 (05) : 650 - 674
  • [6] Big Data Analytics Quality in Enhancing Healthcare Organizational Performance: A Conceptual Model
    Nasir, Wan Mohd Haffiz Mohd
    Abdullah, Rusli
    Jusoh, Yusmadi Yah
    Abdullah, Salfarina
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (11) : 480 - 487
  • [7] Organizational considerations initiating a big data and analytics implementation
    Cervone, H. Frank
    [J]. DIGITAL LIBRARY PERSPECTIVES, 2016, 32 (03) : 137 - 141
  • [8] Data, attitudinal and organizational determinants of big data analytics systems use
    Chen, Charlie
    Choi, Hoon Seok
    Ractham, Peter
    [J]. COGENT BUSINESS & MANAGEMENT, 2022, 9 (01):
  • [9] A Reference Model for Big Data Analytics
    Park, Eunjung
    Sugumaran, Vijayan
    Park, Sooyong
    [J]. 2018 9TH IEEE ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON), 2018, : 382 - 391
  • [10] An Effective Model for Big Data Analytics
    Bokhari, M. U.
    Zeyauddin, Md.
    Siddiqui, Md. Ashraf
    [J]. PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, 2016, : 3980 - 3982