Published: Feb 10, 2023
Converted to Gold OA:
DOI: 10.4018/IJBIR.317419
Volume 14
Ganeshkumar C., Jeganathan Gomathi Sankar, Arokiaraj David
The study presents the results of the work undertaken to analyse constructs that make the companies adopt big data in the food industry towards the financial and market performance. Data was...
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The study presents the results of the work undertaken to analyse constructs that make the companies adopt big data in the food industry towards the financial and market performance. Data was collected from 300 food industry employees who work in vital roles in the company. Primary data was collected through a survey method and a theoretical model was tested. Technological—Organizational—Enviornmental (TOE) framework was adopted, and the factors were analysed using Smart PLS software. It reveals that trialability, observability, complexity, and top management support are having a greater influence on big data analytics (BDA) adoption. Furthermore, external support, uncertainty and insecurity, and organizational readiness are also identified to affect BDA adoption. The findings ascertain the impact of BDA on the financial performance and marketing performance of the organisations. Understanding the variables that affect BDA acceptability enables managers to take the appropriate steps for a successful deployment. The research aids BDA service providers in luring and spreading BDA in the food sector.
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MLA
Ganeshkumar C., et al. "Adoption of Big Data Analytics: Determinants and Performances Among Food Industries." IJBIR vol.14, no.1 2023: pp.1-17. http://doi.org/10.4018/IJBIR.317419
APA
Ganeshkumar C., Sankar, J. G., & David, A. (2023). Adoption of Big Data Analytics: Determinants and Performances Among Food Industries. International Journal of Business Intelligence Research (IJBIR), 14(1), 1-17. http://doi.org/10.4018/IJBIR.317419
Chicago
Ganeshkumar C., Jeganathan Gomathi Sankar, and Arokiaraj David. "Adoption of Big Data Analytics: Determinants and Performances Among Food Industries," International Journal of Business Intelligence Research (IJBIR) 14, no.1: 1-17. http://doi.org/10.4018/IJBIR.317419
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Published: Feb 16, 2023
Converted to Gold OA:
DOI: 10.4018/IJBIR.318330
Volume 14
Gladys Marisol Merino Castro, Higinio Guillermo Wong Aitken, Alicia Alicia Calvanapon
The objective is to propose the use of the business intelligence tool Microsoft Power BI to contribute to the best decision making in the digital services company; there are deficiencies in the ERP...
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The objective is to propose the use of the business intelligence tool Microsoft Power BI to contribute to the best decision making in the digital services company; there are deficiencies in the ERP integrator system currently used in the company, impairing decision-making in management and corresponding headquarters. The research is of an applied type, considering as a sample those involved in the operation of the ERP integrator system. The analysis of the ERP integrator and business intelligence Power BI software was used, obtaining as results that the use of ERP integrator stores a large magnitude of data that is not easily understandable, complex reading of reports, and lack of statistical graphs. Business intelligence Power BI was applied as a solution tool, obtaining tables designed with complete and correct data, extraction of tables for their subsequent relationship, and understandable statistical graphics; Power BI allows collaborators greater understanding when reading results.
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MLA
Castro, Gladys Marisol Merino, et al. "Business Intelligence Tools for a Digital Services Company in Peru, 2022." IJBIR vol.14, no.1 2023: pp.1-14. http://doi.org/10.4018/IJBIR.318330
APA
Castro, G. M., Aitken, H. G., & Calvanapon, A. A. (2023). Business Intelligence Tools for a Digital Services Company in Peru, 2022. International Journal of Business Intelligence Research (IJBIR), 14(1), 1-14. http://doi.org/10.4018/IJBIR.318330
Chicago
Castro, Gladys Marisol Merino, Higinio Guillermo Wong Aitken, and Alicia Alicia Calvanapon. "Business Intelligence Tools for a Digital Services Company in Peru, 2022," International Journal of Business Intelligence Research (IJBIR) 14, no.1: 1-14. http://doi.org/10.4018/IJBIR.318330
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Published: Oct 26, 2023
Converted to Gold OA:
DOI: 10.4018/IJBIR.332813
Volume 14
Mikael Berndtsson, Stefan Ekman
Research on assessing a group's maturity in data-driven culture is rare and fragmented. This article investigates how maturity in data-driven culture can be assessed from a historical perspective. A...
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Research on assessing a group's maturity in data-driven culture is rare and fragmented. This article investigates how maturity in data-driven culture can be assessed from a historical perspective. A case study was done on how the Education Council evolved in analytics maturity and as a group during 2014-2023. The assessment showed that the Education Council experienced both successful progression of group development and usage of analytics, as well as regression in group development and analytics usage. The practical implications of the findings are that group leaders need to be aware of the interplay between analytics usage and group development when planning to improve their group's maturity in data-driven culture.
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MLA
Berndtsson, Mikael, and Stefan Ekman. "Assessing Maturity in Data-Driven Culture." IJBIR vol.14, no.1 2023: pp.1-17. http://doi.org/10.4018/IJBIR.332813
APA
Berndtsson, M. & Ekman, S. (2023). Assessing Maturity in Data-Driven Culture. International Journal of Business Intelligence Research (IJBIR), 14(1), 1-17. http://doi.org/10.4018/IJBIR.332813
Chicago
Berndtsson, Mikael, and Stefan Ekman. "Assessing Maturity in Data-Driven Culture," International Journal of Business Intelligence Research (IJBIR) 14, no.1: 1-17. http://doi.org/10.4018/IJBIR.332813
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