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1 – 3 of 3Kasmad Ariansyah, Ahmad Budi Setiawan, Alfin Hikmaturokhman, Ardison Ardison and Djoko Walujo
This study aims to establish an assessment model to measure big data readiness in the public sector, specifically targeting local governments at the provincial and city/regency…
Abstract
Purpose
This study aims to establish an assessment model to measure big data readiness in the public sector, specifically targeting local governments at the provincial and city/regency levels. Additionally, the study aims to gain valuable insights into the readiness of selected local governments in Indonesia by using the established assessment model.
Design/methodology/approach
This study uses a mixed-method approach, using focus group discussions (FGDs), surveys and exploratory factor analysis (EFA) to establish the assessment model. The FGDs involve gathering perspectives on readiness variables from experts in academia, government and practice, whereas the survey collects data from a sample of selected local governments using a questionnaire developed based on the variables obtained in FGDs. The EFA is used on survey data to condense the variables into a smaller set of dimensions or factors. Ultimately, the assessment model is applied to evaluate the level of big data readiness among the selected Indonesian local governments.
Findings
FGDs identify 32 essential variables for evaluating the readiness of local governments to adopt big data. Subsequently, EFA reduces this number by five and organizes the remaining variables into four factors: big data strategy, policy and collaboration, infrastructure and human resources and data collection and utilization. The application of the assessment model reveals that the overall readiness for big data in the selected local governments is primarily moderate, with those in the Java cluster displaying higher readiness. In addition, the data collection and utilization factor achieves the highest score among the four factors.
Originality/value
This study offers an assessment model for evaluating big data readiness within local governments by combining perspectives from big data experts in academia, government and practice.
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Abdulkader Zairbani and Senthil Kumar Jaya Prakash
The purpose of this paper is to provide an organizing lens for viewing the distinct contributions to knowledge production from those research communities addressing the impact of…
Abstract
Purpose
The purpose of this paper is to provide an organizing lens for viewing the distinct contributions to knowledge production from those research communities addressing the impact of competitive strategy on company performance in general, and the influence of cost leadership and differentiation strategy on organizational performance in detail.
Design/methodology/approach
The research methodology was based on the PRISMA review, and thematic analysis based on an iterative process of open coding was analyzed and then the sample was analyzed by illustrating the research title, objectives, method, data analysis, sample size, variables and country.
Findings
The main factor that influenced the competitive strategy is strategic growth; strategic growth has a significant influence on competitive strategy. Furthermore, competitive strategy will boost firm network, performance measurement and organization behavior. In the same way, the internal goal factor will enhance organizational effectiveness. Also, a differentiation strategy will support management practice factors, strategic positions, product price, product characteristics and company performance.
Originality/value
This study contributes to the literature by identifying a framework of competitive strategy factors, company performance factors, cost leadership strategy factors, differentiation strategy factors and competitive strategy with global market factors. This study provides a complete picture and description of the resulting body knowledge in competitive strategy and organizational performance.
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Ines Kateb, Olfa Nafti and Asma Zeddini
The purpose of this study is to investigate the impact of Shariah Advisory Board (SAB), Audit committee (AC) and board of directors (BD) characteristics on the performance of…
Abstract
Purpose
The purpose of this study is to investigate the impact of Shariah Advisory Board (SAB), Audit committee (AC) and board of directors (BD) characteristics on the performance of Islamic banks (IBs) in the MENA region.
Design/methodology/approach
The paper employs a quantitative approach, utilizing both ordinary least squares (OLS) regression and panel data analysis (random effects models) to examine the relationship between corporate governance variables and the performance of IBs. The sample consists of 50 IBs from 10 countries, spanning a seven-year period (2010–2016), with the exclusion of the Covid-19 pandemic period. To ensure the robustness of the results, various sensitivity tests were conducted, including pooled regression OLS and subsample analysis based on adhering to the Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI) standards.
Findings
The study's findings suggest that the size of the SAB and the membership of at least one member of the SAB on the AAOIFI have a notable adverse effect on the performance of IBs. On the other hand, the AC independence has a positive influence on bank performance. However, there was no significant impact observed for AC size, meeting frequency and BD characteristics on bank performance. The research also revealed nuanced relationships between governance variables and bank performance when analyzing the sample based on AAOIFI adoption. Among banks not adhering to AAOIFI standards, SAB size and CEO duality negatively affected return on assets, while AC independence positively impacted it. For AAOIFI-compliant banks, AC independence significantly improved bank performance, whereas AC meetings exhibited a negative effect. Furthermore, there were no significant relationships observed for return on equity among banks not adhering to AAOIFI standards, whereas AAOIFI-compliant banks experienced positive impacts from AC independence. These results offer valuable insights into the intricate connection between governance attributes and bank performance, particularly in the context of AAOIFI standards adoption.
Practical implications
The study's findings have important practical implications for various stakeholders in the Islamic banking industry. For bank practitioners and management, the study highlights the significance of enhancing the independence of AC to improve decision-making and risk management, leading to better bank performance. Moreover, careful selection of SAB members can mitigate potential negative effects on performance. Policymakers may consider promoting AAOIFI standards to shape the relationship between governance and bank performance. Investors can use the insights to make informed decisions, and banks with stronger governance may attract more investments.
Originality/value
Through quantitative analysis and AAOIFI-based sample division, this study adds to the growing literature on corporate governance and the performance of IBs by examining the impact of multiple corporate governance variables on the performance of IBs in the MENA region. To provide a theoretical basis for this relationship, three theories, namely agency, stewardship and stakeholder theories, are employed and discussed.
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