The implication of business intelligence in risk management: a case study in agricultural insurance

Amini, Mehran; Salimi, Sara; Yousefinejad, Farid; Tarokh, Mohammad Jafar; Haybatollahi, Sayyed M.

doi:10.1007/s42488-021-00050-6

Cited by 7 publications

(3 citation statements)

References 34 publications

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“…Furthermore, Paradza and Daramola (2021) concluded that through the use of BI, a company can improve organisational process, executive management decisionmaking, knowledge management, and risk management. Additionally, by managing risks, businesses can handle potential problems and ensure the success of their projects (Akcay, 2021;Luo et al, 2022), and BI tools can improve risk management, providing a 360-degree risk overview that allows the organisation to identify and mitigate these risks effectively (Amini et al, 2021). Decision making is a key to business and project success in any sector, especially in construction that requires the handling and management of various information and knowledge, and various systems and methods for decision support are emerging (Zhu et al, 2021).…”

Section: Business Intelligence and Construction Companiesmentioning

confidence: 99%

Managerial Opportunities in Application of Business Intelligence in Construction Companies

Golestanizadeh

Sarvari

Chan

et al. 2023

Journal of Civil Engineering and Management

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In construction projects, managers make multiple decisions every day. Most of these decisions are relatively unimportant; some of them are critical and could lead to the success or failure of a construction project. To ensure construction companies make effective managerial decisions, decision making requires performing an initial technical and economic analysis, comparing different decision-making solutions, using a planning system, and ensuring project implementation based on the provided plans. Therefore, the use of powerful systems such as business intelligence (BI), which play a central role in management and decision-making, is essential in project-based companies. The current study aims to determine and evaluate the main managerial opportunities in the application of BI in project-based construction companies using a descriptive survey approach. An empirical research questionnaire consisting of 60 factors and 7 categories was adopted. The questionnaire, after confirming its validity and reliability, was distributed to 100 experts engaged in 5 active project-based construction companies who were familiar with BI topics. To analyse the data, a one-sample t-test and the Friedman test were performed using the SPSS software. The findings indicated that the importance of the identified opportunities for the use of BI in project-based construction companies is above average and that, in the case of using BI in such companies, these opportunities can be used to improve project performance. The results of the current study can help managers and other stakeholders as an effective decision-making tool to better implement BI in project-based companies.

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Section: Business Intelligence and Construction Companiesmentioning

confidence: 99%

Managerial Opportunities in Application of Business Intelligence in Construction Companies

Golestanizadeh

Sarvari

Chan

et al. 2023

Journal of Civil Engineering and Management

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“…The BIS term was first used in 1958 by Hans Peter Luhn to identify tools for data analysis (Amini et al , 2021). Otherwise, many researchers believe that it was first used by Dresner in 1989 for describing a concept and methodologies for improvement of business decisions using facts and information from supporting systems (Phillips-Wren et al , 2021).…”

Section: Literature and Theoretical Foundationsmentioning

confidence: 99%

The efficiency measurement of business intelligence systems in the big data-driven economy: a multidimensional model

Al-Okaily

Teoh

Al-Okaily

et al. 2023

IDD

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Purpose There is a growing importance of business intelligence systems (BIS) adoption in today’s digital economy age which is characterized by uncertainty and ambiguity considering the magnitude and influence of data-related issues to be solved in contemporary businesses. This study aims to investigate critical success factors that affect business intelligence efficiency based on the DeLone and McLean model in Jordanian banking industry. Design/methodology/approach A quantitative research method through a questionnaire was used to collect data from actual users who depend on business intelligence tools to make operational and strategic decisions in Jordanian banks. The data obtained were tested using the partial least squares–structural equation modeling approach. Findings The survey findings attest that system quality, information quality, user quality, user satisfaction and user performance are important factors and contribute to business intelligence efficiency in the Jordanian banking industry. Practical implications The findings gained from this work can help policymakers in Jordanian banks to improve the business intelligence success and organizational performance. Originality/value To the best of the authors’ knowledge, this study is the first of its kind to propose a theoretical model to assess drivers of BIS efficiency from the Jordanian banks’ perspective.

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“…[ 45,46] 3. Adaptive learning systems Each discipline is meant to be designed as a workflow for a certain application area made of modules reflecting the necessary areas of knowledge, based on the ideas of "knowledge areas" and "application areas."…”

Section: Predictive Modelsmentioning

confidence: 99%

Transforming the Capabilities of Artificial Intelligence in GCC Financial Sector: A Systematic Literature Review

Khan

Malik

Alomari

et al. 2022

Wireless Communications and Mobile Computing

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Identity and access management is a business process framework that makes it easier to maintain genuine user identities and regulate access to sensitive assets. The word “access control” refers to an organization’s policy for authorizing access procedures, the mechanisms that implement and enforce the policy, and the model that the policy and procedures are built on. Adopting new technology may give rise to specific cyber threats that decrease or degrade business operations. The paper has designed to discuss the artificial intelligence-based access control system as a necessary component of governing and safeguarding the financial sector’s information assets in the Gulf Cooperation Council (GCC) region. Due to the dynamic and complicated nature of security rules for access control, organizations that employ web-enabled remote access in conjunction with applications access deployed over several networks face various obstacles, including increased operational complexity and monitoring concerns. Organizations spend a vast budget on securing their business. As the industry trend has shifted to intelligent internet-based companies on the same side, the cyber threat has become a challenge for the researcher to find the solution. A systematic research is conducted to fill the gaps in the existing literature by picking the most relevant research papers (126) from the four most reputable online repositories based on the four research questions specified. These research topics aim to evaluate the current situation from many perspectives and provide new avenues for future study to be studied soon to maintain high security and authenticity inside financial sectors of the GCC’s countries.

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The implication of business intelligence in risk management: a case study in agricultural insurance

Cited by 7 publications

References 34 publications

Managerial Opportunities in Application of Business Intelligence in Construction Companies

Managerial Opportunities in Application of Business Intelligence in Construction Companies

The efficiency measurement of business intelligence systems in the big data-driven economy: a multidimensional model

Transforming the Capabilities of Artificial Intelligence in GCC Financial Sector: A Systematic Literature Review

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