Evaluation of data analytics-oriented business intelligence technology effectiveness: an enterprise-level analysis

Teoh

et al. 2023

IDD

Self Cite

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.

Section: System Qualitymentioning

confidence: 78%

Section: Literature and Theoretical Foundationsmentioning

confidence: 99%

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

Teoh

et al. 2023

IDD

Self Cite

“…, 2022a, b), which turned the traditional business form toward smart business (Al-Khatib and Ramayah, 2023; Chatterjee et al. , 2022; Al-Okaily et al. , 2023).…”

Section: Introductionmentioning

confidence: 99%

“…With the emergence of the fourth industrial revolution concept, which constituted the turning point in adopting emerging technologies related to Industry 4.0, firms became more able to define their requirements and elements of their organizational success (Al-Khatib and Ramayah, 2023). These firms became smarter than before due to using big data analytics (BDA) and artificial intelligence (AI) techniques (Tortorella et al, 2022a, b), which turned the traditional business form toward smart business (Al-Khatib and Ramayah, 2023;Chatterjee et al, 2022;Al-Okaily et al, 2023).…”

mentioning

confidence: 99%

The impact of industrial Internet of things on sustainable performance: the indirect effect of supply chain visibility

Al-Khatib

2023

BPMJ

PurposeSustainable management has become a strategic and popular requirement for stakeholders, as the ability to create competitive advantages in the current dynamic business environment and the pressures of digital transformation need to be increased attention in achieving the highest level of sustainable performance. The main objective of this paper is to explore the direct effects of the industrial Internet of things and supply chain visibility on sustainable performance (economic performance, environmental performance and social performance), in addition to evaluating the indirect effects that supply chain visibility plays in these relationships.Design/methodology/approachTo achieve the purposes and objectives of this work, a conceptual model was developed by referring to the current works in the literature, and the theoretical model was developed, and then data were collected through the questionnaire and by the snowball sampling method, as 380 questionnaires were used. In the data analysis, the multivariate analysis technique was used via Covariance-based Structural Equation Modeling (CB-SEM), as hypothesized relationships were evaluated through confirmatory factor analysis (CFA), and then the hypotheses were tested through a structural model.FindingsThe results reached the acceptance of all hypotheses, and this means that all hypothesized relationships were positive, as the impact of the industrial Internet of things was positive on each of the supply chain visibility and economic performance, environmental performance and social performance, and also the supply chain visibility mediated the relationship between each of the industrial Internet of things and economic performance, environmental performance and social performance.Originality/valueThe current paper reported a range of theoretical and practical contributions, as this study is the first to examine these hypothesized relationships together in this way and thus helped this study to develop new perceptions about Industry 4.0 technologies and their potential impacts on supply chain and sustainable performance. Also, this study had a variety of management recommendations that allow managers of pharmaceutical manufacturing companies operating in Jordan to develop their technological capabilities and use them to enhance sustainable performance.

“…BI facilitate non-expert computer users to analyse and visualise linked data, thus generating actionable information by means of reporting, OLAP analysis, dashboards or data mining (Corrales-Garay et al ., 2022). Thanks to this information, organizations can track their performance comparing indicators with business objectives and competitors, analyse consumer behaviour, discover problems and predict success, which allows them to make better decisions to improve processes and results (Al-Okaily et al ., 2023).…”

Section: Introductionmentioning

confidence: 99%

Developing a business intelligence tool for sustainability management

Chalmeta,

Ferrer Estevez

2023

BPMJ

PurposeBusiness intelligence (BI) is a combination of computer systems and managerial processes to support decision-making. The balanced scorecard is a kind of business intelligence tool for performance measurement and management control aimed at balancing financial and non-financial as well as short- and long-term measures. The sustainable balanced scorecard is a modification of the original balanced scorecard developed to expressly consider governance, social, environmental and ethical issues, and therefore to allow sustainability concepts to be included within the strategy and the management of the organization. However, although the sustainable balanced scorecard is one of the most suitable tools for integrating sustainability within management, there are few examples of how to develop and implement it which can be used as reference models. To help solve this problem, this paper proposes a methodology for the development of a sustainable balanced scorecard, considering different phases such as planification, analysis, design or computer tool implementation, and describes the findings of three case studies.Design/methodology/approachThe research was conducted using the qualitative multiple-case study method. This made it possible to establish the methodological issues regarding the performance and reporting of this study. Therefore, the research method for the conceptualization and execution of the case studies was divided into seven phases: definition of research goals and questions; proposed theoretical model; identification of units of analysis; case selection; definition of research methods and resources; fieldwork; data collection, classification of information and triangulation; formulation of the enhanced theory, model or methodology; and verification of the rigour and quality of the study.FindingsPaper shows a methodology organized in phases, activities and tasks that allow a sustainable balanced scorecard to be planned, designed, built, computerized and controlled in order to integrate sustainability within the management systems of organizations.Originality/valueThis study contributes to the currently emerging sustainable balanced scorecard literature and practice and, more generally, to research on sustainability measurement and management. The methodology for sustainable balanced scorecard development and implementation showed in this paper contributes to the management and information systems theory because it makes it possible to overcome the shortcomings identified to date: it considers all the sustainability dimensions; it describes all the project life-cycle activities; it encourages stakeholders' participation; and it has been proved to work in real situations.