The Impact of Business Intelligence on the Quality of Decision Making – A Mediation Model

Wieder, Bernhard; Ossimitz, Maria‐Luise

doi:10.1016/j.procs.2015.08.599

Cited by 107 publications

(80 citation statements)

References 36 publications

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“…Information assists in decision-making by reducing uncertainties and removing assumptions. It can be used to predict consequences of a choice or action through a technique called 'simulation' (Wieder & Ossimitz 2015). A study on six large organisations showed that the master data was a strategic asset which added to the competitive capability of the firm with regard to the resource based view (Otto 2015).…”

Section: Information Qualitymentioning

confidence: 99%

“…However, high information quality requires a high level of data quality. Thus, managing data is paramount to ensure trust in the BI system as a whole (Wieder & Ossimitz 2015;Wixom & Watson 2001).…”

Section: Information Qualitymentioning

confidence: 99%

“…The updated information system model included a few more measures for the system quality construct including reliability, ease-of-use, functionality, portability and importance (Delone & McLean 2003). Analytics is presumed to be the successor to decision support systems as it enables data from multiple sources and in different formats (structured and unstructured) to be integrated, processed; and it supports real-time insights based on the data (Wieder & Ossimitz 2015). (Nelson & Todd 2005) conducted a study to better understand system quality in the context of data warehousing using a sample of 465 respondents across seven organisations.…”

Section: System Qualitymentioning

confidence: 99%

“…There is a research gap on the management of BI resources (essentially, BI management) beyond implementation and how that management affects the quality of decision making in the organisation (Wieder & Ossimitz 2015). A study using 62 managers found that managerial involvement in the adoption process had a significant positive relationship to adoption intension (Wang 2014).…”

Section: Service Quality -Bi Teammentioning

confidence: 99%

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Factors Influencing the Quality of Decision-Making Using Business Intelligence in a Metal Rolling Plant in KwaZulu-Natal

Chummun¹,

Singh²

2019

J. Rev. Global Econ.

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The current study sought to investigate the factors which influence the quality of decision-making using business intelligence (BI) in a metal rolling plant in KwaZulu-Natal. Specifically, the study was focused on information quality, system quality and BI service quality. The study used a self-administered survey sent out to participants having sufficient report runs which made up the population of the study. The collected data came from different levels of employees, namely; managers (47%) and non-managers (53%) with varying levels of BI experience, and the data was imported into SPSS for analysis. The results showed that information quality had a positive significant impact on the quality of decision-making; system quality had a positive significant impact on the quality of decision-making; and BI service quality had a positive significant impact on the quality of decision-making. Multiple linear regression analysis was conducted to determine the strength of these variances in influencing decision-making. It was found that the three variables explained 65.7% of the variance in the quality of decision-making. Overall, the study found that high quality information, coupled with a high-quality system and good BI service, leads to a higher quality of decision-making, and that the impact of BI on decision-making is positive. The study recommends that the company implement data quality management focusing on data cleansing, it should also implement more sophisticated analysis techniques to get insights and have strategies to upskill both technical and business workers.

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Section: Information Qualitymentioning

confidence: 99%

Section: Information Qualitymentioning

confidence: 99%

Section: System Qualitymentioning

confidence: 99%

Section: Service Quality -Bi Teammentioning

confidence: 99%

See 2 more Smart Citations

Factors Influencing the Quality of Decision-Making Using Business Intelligence in a Metal Rolling Plant in KwaZulu-Natal

Chummun¹,

Singh²

2019

J. Rev. Global Econ.

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“…In [24] the authors emphasize the influence of the quality of data management in business intelligence (BI) systems throughout the whole process form the sources to the decision making stage. In [25] the impact that DQ has on decision making, organizations believability and customer satisfaction is remarked.…”

Section: How Dq Is Managed In Dws?mentioning

confidence: 99%

Context-based Data Quality Metrics in Data Warehouse Systems

Serra¹,

Marotta²

2017

CLEIej

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The fact that Data Quality (DQ) depends on the context, in which data are produced, stored and used, is widely recognized in the research community. Data Warehouse Systems (DWS), whose main goal is to give support to decision making based on data, have had a huge growth in the last years, in research and industry. DQ in this kind of systems becomes essential. This work presents a proposal for identifying DQ problems in the domain of DWS, considering the different contexts that exist in each system component. This proposal may act as a first conceptual framework that guides the DQ-responsible in the management of DQ in DWS. The main contributions of this work are a thorough literature review about how contexts are used for evaluating DQ in DWS, and a proposal for assessing DQ in DWS through contextbased DQ metrics.

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Project management challenges in client‐consultant decision‐making: A case for the Ghanaian mining construction industry

Amegboleza,

Acakpovi,

Ülkü

2024

Can J Adm Sci

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This study explores the complex decision‐making (DM) dynamics between clients and consultants, a crucial area often neglected in existing research. Utilizing a Multi‐Perspective Approach combined with Multi‐Criteria Decision Analysis, we examine DM challenges such as cost overruns, project delays, and compromised work quality stemming from ineffective DM practices. Key findings highlight the pervasive fear of financial repercussions from poor decisions, which impedes decisive and transparent DM. We offer practical recommendations for managers, propose strategies to strengthen DM processes, enhance project execution frameworks and insights to improve operational efficiency and competitive advantages for Ghanaian mining construction sector stakeholders. This study significantly contributes to the literature on project management by offering targeted solutions and advancing knowledge on DM practices.

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The Impact of Business Intelligence on the Quality of Decision Making – A Mediation Model

Cited by 107 publications

References 36 publications

Factors Influencing the Quality of Decision-Making Using Business Intelligence in a Metal Rolling Plant in KwaZulu-Natal

Factors Influencing the Quality of Decision-Making Using Business Intelligence in a Metal Rolling Plant in KwaZulu-Natal

Context-based Data Quality Metrics in Data Warehouse Systems

Project management challenges in client‐consultant decision‐making: A case for the Ghanaian mining construction industry

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