Traversing the Adoption of Instigating Business Intelligence and Analytics in Coping Organization Performance: A Mixed Method Approach from Taiwan Perspective

The field of business analytics and intelligence (BIA) is becoming more and more critical for improving organizational performance. These days, data is not only valuable and crucial to the organization, but it is also acknowledged as being essential to boosting success and performance. Consequently, a great deal of money is invested by many firms in order to acquire more rapid, precise information in real-time. Even if a lot of firms employ business intelligence technology to get information, the previous study found that analytics implementation is still lacking in these organizations. Consequently, the goal of this research is to identify the integrated implementation elements of analytics and business intelligence in controlling organizational performance, especially for private sector firms. To do this, a thorough literature analysis was conducted to determine the key elements influencing the use of performance management, business analytics, and intelligence. This empirical study was carried out in Taiwan, and participation was restricted to subject matter experts in the fields of business intelligence (BI), business analytics (BA), and organizational performance management (OPM). In order to determine the critical elements for business intelligence and data analytics implementation, the study involved conducting expert interviews. To build the integrated elements in BIA and OPM implementation, twenty-six key variables and sixty-five supporting factors were found and examined. Four integrated components of the BIA and OPM implementation were identified by the study's findings: documentation, policy, involvement and training, and adequate training. The study's findings identified four integrated components of the BI and BA implementation: managing Data, strategic planning, decision making, and system, respectively. Overall, this study emphasizes how critical it is to recognize and address the critical elements that affect the success of BIA implementations, providing actionable advice to businesses looking to harness the potential of BIA in today's cutthroat business world.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15442140
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Traversing the Adoption of Instigating Business Intelligence and Analytics in Coping Organization Performance: A Mixed Method Approach from Taiwan Perspective

Zenodo (CERN European Organization for Nuclear Research)
Big Data and Business Intelligence
article

Traversing the Adoption of Instigating Business Intelligence and Analytics in Coping Organization Performance: A Mixed Method Approach from Taiwan Perspective

article en

Abstract

The field of business analytics and intelligence (BIA) is becoming more and more critical for improving organizational performance. These days, data is not only valuable and crucial to the organization, but it is also acknowledged as being essential to boosting success and performance. Consequently, a great deal of money is invested by many firms in order to acquire more rapid, precise information in real-time. Even if a lot of firms employ business intelligence technology to get information, the previous study found that analytics implementation is still lacking in these organizations. Consequently, the goal of this research is to identify the integrated implementation elements of analytics and business intelligence in controlling organizational performance, especially for private sector firms. To do this, a thorough literature analysis was conducted to determine the key elements influencing the use of performance management, business analytics, and intelligence. This empirical study was carried out in Taiwan, and participation was restricted to subject matter experts in the fields of business intelligence (BI), business analytics (BA), and organizational performance management (OPM). In order to determine the critical elements for business intelligence and data analytics implementation, the study involved conducting expert interviews. To build the integrated elements in BIA and OPM implementation, twenty-six key variables and sixty-five supporting factors were found and examined. Four integrated components of the BIA and OPM implementation were identified by the study's findings: documentation, policy, involvement and training, and adequate training. The study's findings identified four integrated components of the BI and BA implementation: managing Data, strategic planning, decision making, and system, respectively. Overall, this study emphasizes how critical it is to recognize and address the critical elements that affect the success of BIA implementations, providing actionable advice to businesses looking to harness the potential of BIA in today's cutthroat business world.

Zenodo (CERN European Organization for Nuclear Research)
Shih Chien University (TW), Minghsin University of Science and Technology (TW)
Openalex Percentile: Top 41%
Big Data and Business Intelligence
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