IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v6y2021i8p82-d607899.html
   My bibliography  Save this article

Factors Influencing Business Analytics Solutions and Views on Business Problems

Author

Listed:
  • Martin Potančok

    (Department of Information Technologies, Faculty of Informatics and Statistics, Prague University of Economics and Business, nám. W. Churchilla 1938/4, 130 67 Prague 3, Czech Republic)

  • Jan Pour

    (Department of Information Technologies, Faculty of Informatics and Statistics, Prague University of Economics and Business, nám. W. Churchilla 1938/4, 130 67 Prague 3, Czech Republic)

  • Wui Ip

    (Department of Pediatrics, School of Medicine, Stanford University, 300 Pasteur Drive, MC: 5776, Stanford, CA 94305-5776, USA)

Abstract

The main aim of this paper is to identify and specify factors that influence business analytics. A factor in this context refers to any significant characteristic that defines the environment in which business analytics and business in general are conducted. Factors and their understanding are essential for the quality of final business analytics solutions, given their complexity and interconnectedness. Factors play an extremely important role in analytic thinking and business analysts’ skills and knowledge. These factors determine effective approaches and procedures for business analytics, and, in some cases, they also aid in the decision to delay a business analytics solution given a situation. This paper has used the case study method, a qualitative research method, due to the need to carry out investigation within the actual business (company) environment, in order to be able to fully understand and verify factors affecting analytics from the viewpoint of all stakeholders. This study provides a set of 15 factors from business, company, and market environments, including their importance in business analytics.

Suggested Citation

  • Martin Potančok & Jan Pour & Wui Ip, 2021. "Factors Influencing Business Analytics Solutions and Views on Business Problems," Data, MDPI, vol. 6(8), pages 1-12, August.
    • Handle: RePEc:gam:jdataj:v:6:y:2021:i:8:p:82-:d:607899
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/6/8/82/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/6/8/82/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Amit Kumar & Bala Krishnamoorthy, 2020. "Business Analytics Adoption in Firms: A Qualitative Study Elaborating TOE Framework in India," International Journal of Global Business and Competitiveness, Springer, vol. 15(2), pages 80-93, December.
    2. Isabelle Piot-Lepetit & Joseph Nzongang, 2021. "Business analytics for managing performance of microfinance Institutions: A flexible management of the implementation process," Post-Print hal-03209188, HAL.
    3. Matthew J. Liberatore & Wenhong Luo, 2010. "The Analytics Movement: Implications for Operations Research," Interfaces, INFORMS, vol. 40(4), pages 313-324, August.
    4. Isabelle Piot-Lepetit & Joseph Nzongang, 2021. "Business Analytics for Managing Performance of Microfinance Institutions: A Flexible Management of the Implementation Process," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    5. Iman Raeesi Vanani & Seyed Mohammad Jafar Jalali, 2018. "A comparative analysis of emerging scientific themes in business analytics," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 29(2), pages 183-206.
    6. Michael L. Gonzales & Somnath Mukhopadhyay & Kallol Bagchi & Leopoldo Gemoets, 2019. "Factors influencing business intelligence-enabled success in global companies: an empirical study," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 30(3), pages 324-347.
    7. Suh, Induk & 徐, 麟徳 & Park, Yun-Hee & Park, Taeyung, 2008. "Factors Influencing Business Succession," IIR Working Paper 08-06, Institute of Innovation Research, Hitotsubashi University.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Youtang Zhang & Eshetu Yesuf Ayele, 2022. "Factors Affecting Small and Micro Enterprise Performance with the Mediating Effect of Government Support: Evidence from the Amhara Region Ethiopia," Sustainability, MDPI, vol. 14(11), pages 1-20, June.
    2. So Young Sohn & Yonghan Ju, 2023. "Mission Efficiency Analysis of For-Profit Microfinance Institutions with Categorical Output Variables," Sustainability, MDPI, vol. 15(3), pages 1-12, February.
    3. Mortenson, Michael J. & Doherty, Neil F. & Robinson, Stewart, 2015. "Operational research from Taylorism to Terabytes: A research agenda for the analytics age," European Journal of Operational Research, Elsevier, vol. 241(3), pages 583-595.
    4. Isabelle Piot-Lepetit & Joseph Nzongang, 2021. "Business analytics for managing performance of microfinance Institutions: A flexible management of the implementation process," Post-Print hal-03209188, HAL.
    5. Isabelle Piot-Lepetit & Joseph Nzongang, 2021. "Business Analytics for Managing Performance of Microfinance Institutions: A Flexible Management of the Implementation Process," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    6. Benjamin T. Hazen & Joseph B. Skipper & Christopher A. Boone & Raymond R. Hill, 2018. "Back in business: operations research in support of big data analytics for operations and supply chain management," Annals of Operations Research, Springer, vol. 270(1), pages 201-211, November.
    7. Bechler, Georg & Steinhardt, Claudius & Mackert, Jochen & Klein, Robert, 2021. "Product line optimization in the presence of preferences for compromise alternatives," European Journal of Operational Research, Elsevier, vol. 288(3), pages 902-917.
    8. Kirsten Hoffmann & Udo Buscher & Janis Sebastian Neufeld & Felix Tamke, 2017. "Solving Practical Railway Crew Scheduling Problems with Attendance Rates," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(3), pages 147-159, June.
    9. Tom Pape, 2020. "Prioritising data items for business analytics: Framework and application to human resources," Papers 2012.13813, arXiv.org.
    10. Durrel Ramrathan & Mabutho Sibanda, 2014. "Impact of Analytics in Financial Decision Making: Evidence from a Case Study Approach," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 10(5), pages 124-135, October.
    11. Elitzur, Ramy, 2020. "Data analytics effects in major league baseball," Omega, Elsevier, vol. 90(C).
    12. Mogaji, Emmanuel & Nguyen, Nguyen Phong, 2022. "The dark side of mobile money: Perspectives from an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    13. Duan, Yanqing & Cao, Guangming & Edwards, John S., 2020. "Understanding the impact of business analytics on innovation," European Journal of Operational Research, Elsevier, vol. 281(3), pages 673-686.
    14. Michael F. Gorman, 2017. "Interfaces Editor’s Statement," Interfaces, INFORMS, vol. 47(1), pages 1-3, February.
    15. Piotr Muryjas & Monika Wawer & Magdalena Rzemieniak, 2021. "Managing the Process of Evaluation of the Academic Teachers with the Use of Data Mart and Business Intelligence," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 127-140.
    16. Johnson, Michael P. & Midgley, Gerald & Chichirau, George, 2018. "Emerging trends and new frontiers in community operational research," European Journal of Operational Research, Elsevier, vol. 268(3), pages 1178-1191.
    17. Ramayya Krishnan & Alfred Blumstein & Jon Nehlsen, 2018. "Designing and Sustaining an Award-Winning Analytics Educational Program: The Heinz College of Information Systems and Public Policy at Carnegie Mellon University," Interfaces, INFORMS, vol. 48(4), pages 372-383, August.
    18. Isabelle Piot-Lepetit, 2018. "Sustaining performance in turbulent times: Identifying, developing, and expanding core activities," Post-Print hal-01935634, HAL.
    19. Susan W. Palocsay & Scott P. Stevens & Luis J. Novoa, 2020. "STRATA: A Spreadsheet Tool for Multidimensional Analysis of Operations Research/Management Science Assessment Test Data," INFORMS Transactions on Education, INFORMS, vol. 21(1), pages 41-56, September.
    20. Tino T. Herden, 2020. "Explaining the competitive advantage generated from Analytics with the knowledge-based view: the example of Logistics and Supply Chain Management," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 163-214, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:6:y:2021:i:8:p:82-:d:607899. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.