The impact of business intelligence on organization’s effectiveness: an empirical study

Approaching towards sustainable supply chain under the spotlight of business intelligence

These two main objectives of this study are to present a theoretical model to explain how business intelligence capabilities influence the company's supply chain sustainability and to examine the relationships among different BI and CSCS dimensions. This study was conducted with the use of a standard BI questionnaire along with the United Nations CSCS questionnaire among 234 Iranian pharmaceutical companies, from which 188 were also surveyed. Smart pls3 and partial least squares methods were used for validity as well as reliability evaluation of the measurement model. According to the findings, BI significantly affects the sustainability of the pharmaceutical supply chain and some of its dimensions, including vision, scope, and internal aspects, thereby the hypothesis indicating the effect of BI on these dimensions was accepted. However, there was an insignificantly positive relationship between BI and the other dimensions of CSCS, including expectation, engagement, and goals; hence, the hypothesis indicating the effect of BI on these dimensions was rejected. If the policy of the board is to implement supply chain sustainability, BI can have a greater impact on the company. Otherwise, BI may be implemented with not much effect though it can be indirectly beneficial to these companies. No studies have been performed on direct examination of the relationship of BI and CSCS and their various dimensions with the use of an extensive survey among Iran's pharmaceutical companies. Also, this study reveals some facts about the sustainability of the pharmaceutical supply chain, BI, and relevant issues as significant obstacles against a sustainable supply chain and BI. This article also supports the UN questionnaire on supply chain sustainability and adopts it in the surveys. Furthermore, various social networks such as Facebook, Twitter, and Instagram were compared, and it was concluded that the data required for the pharmaceutical industry was more accessible from Twitter, in comparison to the other social networks.

Intention to use business intelligence tools in decision making processes: applying a UTAUT 2 model

The pressure on the speed of information processing ranks business intelligence technologies among the fastest growing decision support tools. The main goal of this article is, applying the UTAUT 2 (the unified theory of acceptance and use of technology), to verify the factors determining the implementation of business intelligence tools in business processes, especially decision-making, and their subsequent optimal use in business practice. The researched scheme was modified according to the specifics of business intelligence tools and was supplemented by user behaviour in decision-making. The verification was performed using a questionnaire survey based on UTAUT 2 theory and 152 respondents were included in the analysis. According to the results, the most important variable of influence on both the behavioural intention and the users' behaviour itself in decision-making was the factor of habit. And surprisingly, some previously recognised links were not confirmed, especially the factors influencing the intention of behaviour (effort expectancy, social influence, facilitating conditions). So, there is room after almost 10 years and experience gained during the Covid-19 pandemic to modify the latest version of a model.

Digital Transformation in Healthcare 4.0: Critical Factors for Business Intelligence Systems

The health sector is one of the most knowledge-intensive and complicated globally. It has been proven repeatedly that Business Intelligence (BI) systems in the healthcare industry can help hospitals make better decisions. Some studies have looked at the usage of BI in health, but there is still a lack of information on how to develop a BI system successfully. There is a significant research gap in the health sector because these studies do not concentrate on the organizational determinants that impact the development and acceptance of BI systems in different organizations; therefore, the aim of this article is to develop a framework for successful BI system development in the health sector taking into consideration the organizational determinants of BI systems’ acceptance, implementation, and evaluation. The proposed framework classifies the determinants under organizational, process, and strategic aspects as different types to ensure the success of BI system deployment. Concerning practical implications, this paper gives a roadmap for a wide range of healthcare practitioners to ensure the success of BI system development.

The impact of business intelligence on supply chain performance with emphasis on integration and agility–a mixed research approach

Purpose

The paper aims to explore how business intelligence (BI), integration and agility influence supply chain performance.

Design/methodology/approach

The study was performed by the exploratory sequential mixed method in two phases including meta-synthesis as a qualitative method and survey as a quantitative method. Data were collected through a survey of 369 Iranian companies across various industries. Structural equation modeling was used to test hypotheses.

Findings

The results show that BI, integration and agility play an important role in achieving better supply chain performance. In the meantime, BI has the greatest impact on supply chain performance. Additionally, BI has a positive and significant effect on the integration and agility of the supply chain. The study also found that integration has a direct effect on supply chain agility.

Originality/value

To the best of the authors' knowledge, the paper theoretically and empirically presents a new conceptual model of the relationship between BI, integration, agility and supply chain performance. The study helps researchers and practitioners to achieve insights into supply chain performance improvement.

Organizational learning culture and business intelligence systems of health-care organizations in an emerging economy

Purpose

This paper aims to investigate the role of business intelligence systems (BIS) in the relationship between organizational learning culture and organizational performance in the health-care context.

Design/methodology/approach

A quantitative approach was applied to identify the hypothesized relationships. Data were obtained from a survey of 217 mid- and top-level managers of health-care organizations in Bangladesh. Structural equation modeling was used to analyze the data.

Findings

The findings attest to the effectiveness of the mediating role of BIS in the relationship between organizational learning culture and organizational performance within health-care organizations. The theoretical and practical implications of the findings are also discussed.

Research limitations/implications

The study data were collected from a single country, which made generalization difficult. Further research should be carried out to replicate the present study with different organizational cultural variables and organizational outcomes, such as patient satisfaction.

Practical implications

This study provides a clear direction for hospital managers to invest more resources in an effective learning culture, to be positively mediated by BIS and to eventually enhance their hospitals’ performance. In addition, this study also suggests that hospital managers should focus on building a knowledge-based learning culture, to effectively use the information provided by BIS.

Originality/value

Despite the prior study on the applications of BIS and their value to an organization, little is known about the impact of organizational learning culture on BIS in health-care organizations. The findings give support to the argument that organizational learning culture plays an important role in BIS that, in turn, affects business performance.

Proposing a model of manager's strategic intelligence, organization development, and entrepreneurial behavior in organizations

Purpose

The main purpose of this article is to examine the relationship among the manager's Strategic Intelligence (SI) with Organization Development (OD), and Entrepreneurial Behaviour (EB) in governmental agencies in underdeveloped countries.

Design/methodology/approach

To fulfill the purpose of this study, 274 staff were selected from a population of 480 based on stratified sampling. Descriptive and inferential statistics (including the measurement methods, KMO, Bartlett, Durbin–Watson, and path analysis tests) were performed by using SPSS22 software and Lisrel 8.5.

Findings

Based on the results of the analysis, there is a positive significant relationship between the manager's SI and organizational development. Moreover, there is a positive significant relationship between the manager's SI and entrepreneurial behavior. However, examining the moderator variables including demographic characteristics revealed that the demographic characteristics have no effect on the manager's SI–OD relationship and manager's SI–EB relationship. Only gender influences the manager's SI–EB relationship.

Practical implications

This research proposes a model of the relevant internal variables that have a positive effect on the organization's development and growth. The model is intended to help organizations gain competitive advantage and opportunity by improving the internal factors (managers' SI and entrepreneurial behavior of managers and staff) for the development and survival.

Originality/value

This study proposed a model of manager's SU, OD and Entrepreneurial Behavior in organizations based on data collected from underdeveloped countries. Also, the result of this study could be used by startup and entrepreneurial companies around the world.

IT risk management: interrelationships based on strategy implementation

Purpose

Risk management is an under-explored topic in information systems (IS) research that involves complex and interrelated activities. Consequently, the authors explore the importance of interrelated activities by examining how the maturity of one type of information technology risk management (ITRM) practice is influenced by the maturity of other types of ITRM practices. The purpose of this paper is to explore these relationships, the authors develop a model based on organizational strategy implementation theory and the COBIT framework. The model identifies four types of ITRM practices, namely, IT governance (ITG); communications; operations; and monitoring.

Design/methodology/approach

The authors use a survey methodology to collect data on senior information technology (IT) executives' perceptions on ITRM practices. The authors use an exploratory factor analysis (EFA) to identify four dimensions of ITR M practices and conduct a structural equation model to observe the associations.

Findings

The survey of senior IT executives' perceptions suggests that the maturity of ITRM practices related to ITG, communications and monitoring positively influence the maturity of operations-related ITRM practices. Further, the maturity of communications-related ITRM practices mediates the relationship between ITG and operations-related ITRM practices. The aggregate results demonstrate the inter-relatedness of ITRM practices and highlight the importance of taking a holistic view of ITRM.

Research limitations/implications

Given the content and complexity of the study, it is difficult to obtain senior executives’ responses in large firms. Therefore, this study did not use a separate sample to conduct the EFA to obtain the underlying four constructs. Also, the ITRM practices identified are perceptions. Even though the authors consider this to be a limitation, it also communicates the pressing areas that senior IT professionals are expected to focus given various external and internal pressures. This study focuses on large firms, hence, small to midsize firms are not well represented.

Practical implications

Given the demanding regulatory and financial reporting requirements and the complexity of IT, there is an increasing possibility that the accounting profession will require IT professionals to focus on operations-related ITRM practices, such as security, availability and confidentially of data and IS are closely related to internal controls. However, as this study demonstrates, the maturity of operations-related ITRM practices cannot be achieved by focusing solely on operations-related IT risks. Therefore, IT practitioners can use this study to raise awareness of the complex interrelationships among ITRM practices among managers to improve the overall ITRM practices in a firm.

Social implications

The study also shows the importance of establishing proper communication channels among various business functions with regard to ITRM. Extant IT research identifies the importance of the firm’s communication structure on various firm performance measures. For example, Krotov (2015) mentions the importance of communication in improving trust between the Chief Executive Officer and Chief Financial Officer. Firms with established communication channels have the necessary medium to educate and involve other departments with regard to the security of data. Thus, such firms are more likely to have mature risk management practices because of increased awareness of risks and preventive techniques.

Originality/value

The study contributes to ITG and risk management literature by identifying the role of monitoring-related ITRM practices on improving other areas of risk management. The study also extends the existing ITRM literature by providing an organizational strategy perspective to ITRM practices and showing how ITRM practices follow organizational strategy implementation. Further, the authors identify four underlying ITRM categories. Consequently, researchers could choose between two factors (Vincent et al., 2017) or four factors based on the level of detail required for the particular study.

Top Management's Role in Promoting Decision Support Systems Efficiency

Despite overwhelmingly positive reviews for decision support systems, the IS literature has produced inconsistent results regarding the role of top management and the effectiveness of these systems. IS researchers are concerned with there being a widening gap between research and practice, leading to the current study, focusing on the relevance of these two constituencies. This study employs the Delphi methodology in relation to Saudi Arabia to investigate the reality of the decision support systems in governmental organizations and the diverse issues related to making effective use of them by increasing the role of top management. The findings revealed that there is an absence of a role for IT in the decision-making process, and that there is a lack of robust data warehouse systems capable of supporting organizations' top management with high-quality information. The study revealed various required reforms of various governmental and institutional arrangements and obligational aspects of the efficiency of decision support systems.