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This paper aims to investigate the impact of sharia governance on organizational performance in zakat management institutions in Indonesia over the period 2017–2021.

This study examined 33 zakat management organizations in Indonesia from 2017 through 2021 for 151 observations. Gross allocation ratio and growth of ZIS collection are used as organizational performance measures. The independent variables in this study are board of director size, educational background of the board of directors, sharia supervisory board size, sharia supervisory expertise, supervisory size and management size. Also, the study uses size, age and audit opinion as control variables to help measure the relationship between sharia governance and organizational performance.

This study shows that the board of directors and supervisory size positively and significantly affect organizational performance. Then, the educational background of board of directors has a negative and significant effect on organizational performance. In Model 1, sharia supervisory board size has a positive and significant effect on organizational performance, but in Model 2, sharia supervisory board size does not. Meanwhile, sharia supervisory expertise and management board size do not affect organizational performance.

The findings in this study illustrate the importance of transparency in the zakat management organization. Transparency helps minimize conflicts of interest and information asymmetry in the zakat management organization. In addition, sharia governance mechanism helps regulators and top management to make effective policies to improve and enhance organizational performance.

Sharia governance is essential for zakat management organizations to increase accountability, credibility and public trust and support the practice of zakat management organizations.

This study discusses sharia governance and organizational performance in socioreligious organizations, especially zakat management organizations, which are still rarely carried out. Thus, this study broadens the insights of sharia governance and highlights the importance of performance appraisal in zakat management organizations.

This study aims to explore the holistic context of organisational staff retention in small, medium and large organisations. It also aims to identify the factors affecting the retention of organisations of different sizes.

The study implements an empirical test of a model created during previous research with the participation of 511 employees. The responses to the online questionnaire and the modelling were analysed using the partial least squares structural equation modelling method. The models were tested for internal consistency reliability, convergent and discriminant validity, multicollinearity and model fit.

Two models were tested by organisation size, which revealed a total of 62 significant correlations between the latent variables tested. Identical correlations were present in both models in 22 cases. After testing the hypotheses, critical variables (nature of work, normative commitment, benefits, co-workers and organisational commitment) were identified that determine employees’ organisational commitment and intention to leave, regardless of the size of the organisation.

As a result of this research, the models developed are suitable for identifying differences in organisational staffing levels, but there is as yet no empirical evidence on the use of the scales for homogeneous groups of employees.

The results show that employees’ normative commitment and organisational commitment are critical factors for retention. Of the satisfaction factors examined, the nature of work, benefits and co-workers have a significant impact on retention in organisations, so organisational retention measures should focus on improving satisfaction regarding these factors.

The readers of the journal would appreciate the work, which highlights the significance of employee psychology and retention for organisational success.

The study is based on primary data and, to the best of the authors’ knowledge, is one of the few studies that take a holistic approach to organisational staff retention in the context of the moderating effect of organisational size. This study contributes to a comprehensive understanding of the phenomenon of employee retention and in contrast to previous research, examines the combined effect of several factors.

This systematic literature review analyzes the academic literature to understand SC risk and resilience across different organizational sizes and industries. The academic literature has well discussed the causes of supply chain (SC) risk events, the impact of SC disruptions, and associated plans for SC resilience. However, the literature remains fragmented on the role of two fundamental elements in achieving SC resilience: the firm's size and the firm's industry as firms' contingent factors. Therefore, it is important to investigate and highlight SC resilience differences by size and industry type to establish more resilient firms.

Building upon the contingent resource-based view of the firm, the authors posit that organizational factors such as size and industry sector have important roles in developing organizational resilience capabilities. This systematic literature review and analysis is based on the structural and systematic analysis of high-ranked peer-reviewed journal papers from January 2000 to June 2021 collected through three global scientific databases (i.e. ProQuest, ScienceDirect, and Google Scholar) using relevant keywords.

This systematic literature review of 230 high-quality articles shows that SC risk events can be categorized into demand, supply, organizational, operational, environmental, and network/control risk events. This study suggests that the SC resilience plans developed by startups, small and mdium-sized enterprises (SMEs), and large organizations are not necessarily the same as those of large enterprises. While collaboration and networking and risk management are the most crucial resilience capabilities for all firms, applying lean and quality management principles and utilizing information technology are more crucial for SMEs. For large firms, knowledge management and contingency planning are more important.

This study provides a comprehensive review of the literature on SC resilience plans across different organizational sizes and industries, offering new insights into the nature and dynamics of startups', SMEs', and large enterprises' SC resilience in different industries. The study highlights the need for further investigation of SC risk and resilience for startups, SMEs, and different industries on a more detailed level using empirical data. This study’s findings have important implications for researchers and practitioners and guide the development of effective SC resilience strategies for different types of firms.

This study explores the effect of the strategic fit (tight-fit, minimal-fit and non-fit) between business strategies and human resource (HR) practices on perceived organizational performance (POP). It also investigates the moderating role of firm size on strategic fit–performance linkage.

The data were gathered via an online survey from HR managers of companies listed in “Fortune-500 Turkey, ISO-Top and Second-Top 500”. The form was distributed to 669 organizations, and 102 of them responded. The data were analyzed using one-way ANOVA and moderation analysis.

No statistically significant difference was found in organizational performance according to different strategic fit categories. The moderating effect of firm size was not significant. Yet, tight-fit and minimal-fit appear to be linked to higher organizational performance. The results reveal that business strategies aligned with HR practices could have a favorable impact on organizational performance.

The study differs from previous studies in terms of methodology, the conceptualization of strategic fit categories, the nature of the sample and non-Western origin.

Previous literature has identified human resources as a key source of competitive advantage in organizations of all sizes. However, Small and Medium-sized Enterprises (SMEs) face difficulty in comprehensively implementing all recommended Human Resource Management (HRM) functions. In this study, we shed light on the field of HRM in SMEs by focusing on the context of Greek Small and Medium-sized Hotels (SMHs), which represent a dominant private sector employer across the country.

Using a fuzzy-set qualitative comparative analysis (fsQCA) and 34 in-depth interviews with SMHs' owners/managers, we explore the HRM conditions leading to high levels of performance, while taking into consideration the influence of internal key determinants.

We uncover three alternative successful HRM strategies that maximize business performance, namely the Compensation-based performers, the HRM developers and the HRM investors. Each strategy fits discreet organizational characteristics related to company size, ownership type and organizational structure.

To the best of the authors' knowledge this is among the first empirical studies that examine different and equifinal performance-enhancing configurations of HRM practices in SMHs.

The current study probes the multi-dimensional link between total quality management (TQM) and knowledge management (KM) and investigates how different TQM's dimensions impacts KM processes and how this nexus impacts organizational performance (operational and financial performance) by considering KM as an intermediating variable between TQM and organizational performance.

Six TQM practices are taken from “Malcolm Baldrige National Quality Award”, namely leadership, customer focus, strategic planning, human resource management, process management and information and analysis; KM processes include knowledge creation, acquisition, sharing and application and organizational performance comprises operational and financial performance. The researcher put together data from different sized services and manufacturing firms, from small, to medium and large firms located in the United Kingdom (UK).

The results suggested that a positive correlation existed between TQM, KM and organizational performance. KM is also shown to have quite a strong and positive influence on firm operational and financial performance and partially mediates the relationship between TQM and corporate performance. Dimensional analysis indicates that leadership, strategic planning, customer focus and HRM have a significant positive impact on all KM process, while mixed results have been found for process management and information and analysis. The contextual analysis indicates that except for knowledge creation, TQM plays an equally significant role for the majority of manufacturing establishments and services firms.

The present research makes a significant contribution to the scarce literature on the relationship between TQM and KM (mainly at dimensional level), particularly in the context of the UK, and provides a detailed understanding of the relations between different TQM and KM dimensions, and how their relationship impacts on the operational and financial performance of different sizes of manufacturing and services firms.

Highlights

1. Total quality management (TQM) enhances firms' knowledge management (KM) capabilities

2. KM partially mediates the relationship between TQM and firms' performance

3. Leadership, customer focus and process management indicated insignificant impact on knowledge creation

4. TQM and KM are equally important for all sizes manufacturing and services firms

Total quality management (TQM) enhances firms' knowledge management (KM) capabilities

KM partially mediates the relationship between TQM and firms' performance

Leadership, customer focus and process management indicated insignificant impact on knowledge creation

TQM and KM are equally important for all sizes manufacturing and services firms

This study aims to investigate the determinant factors as barriers and facilitators of the B2B degree of digital use and customer–brand engagement in travel services by applying technology and behavioral theories.

A face-to-face survey was administered to retail travel agencies offering offline and online services (N = 301). Structural equation modeling using the partial least square method was conducted using Smart PLS 3.0 software to examine the proposed hypotheses in the research model.

The results revealed that the integrated composite model significantly predicts the B2B degree of digital use and brand engagement. The study established that facilitators had positive effects, and barriers negatively impacted the degree of digital use, which positively impacted brand engagement. However, the facilitator perceived cost and barrier lack of critical mass showed the opposite influence. The effects of facilitator customer pressure and barriers, information and communication technology infrastructure problems and security risks were insignificant. The results also established that the buyer firm size moderated the relationships between barriers and facilitators with the degree of digital use.

This study combined technology and behavioral theories to explain the buyer–seller relationship. The expanded framework contributed to understanding B2B digital usages and brand engagement in the seller–intermediary relationship. This study conceptualized firm size as a contingency variable and established its moderating effect. The study defined cost as a formative construct and an organizational factor. The study suggested practical implications for travel agencies and online travel service sellers.

This study aims to investigate the factors influencing the adoption of data analytics in performance management. By examining the role of organizational and environmental contexts, this study contributes to the existing literature by proposing a novel and detailed technology-organization-environment (TOE) model for the complex interplay between firm characteristics and the adoption of data analytics. The results offer valuable insights and practical implications for organizations seeking to leverage data analytics for effective performance management.

The research draws upon a data set encompassing over 21,869 companies operating across all European Union member states. A multilevel logistic regression model was developed to evaluate the influence of organizational and environmental factors on the likelihood of adopting performance analytics in organizations.

The findings indicate that the lack of awareness of the benefits of data analytics and its practical application to address specific business challenges is a significant barrier to its adoption. Organizational contexts, such as variable-pay systems, employee training, hierarchical structures and frequency of monetary rewards, also influence the adoption of data analytics.

The study informs managers about the strategic role of data analytics capabilities in performance management for improved business intelligence and driving data culture.

The study helps managers understand the strategic role of data analytics capabilities in performance management, leading to improved business intelligence and fostering a data-driven culture in five key areas: structural alignment, strategic decision-making, resource allocation, performance improvement and change management.

The study advances the TOE theory, making it a more detailed and complete framework, particularly applicable to the adoption of performance analytics. It identifies the main factors of adoption that play a crucial role in this process.

Previous research has explored the link between sustainability disclosure and reputation but produced contradictory results. This study aims to clarify the sustainability disclosure–reputation relationship through a quantitative analysis of the correlations between these variables reported in empirical research papers. The second objective was to determine how various moderators affect the sustainability disclosure–reputation link.

The meta-analysis was based on a systematic review of the literature covering empirical research on the corporate sustainability disclosure and reputation relationship. A total of 92 articles were meta-analyzed to compile their findings on four extrinsic moderators: company size, ownership, stock listing status and activity sector.

The findings confirm that a significant positive correlation exists between corporate sustainability disclosure and reputation. The moderator analysis also revealed that companies’ different characteristics can explain researchers’ divergent results.

The results have considerable practical relevance for organizational management. First, they can motivate managers to improve and disclose their company’s social and environmental impacts to strengthen their reputation, which in turn will help accelerate the achievement of the Sustainable Development Goals. Second, the findings can ensure organizations develop disclosure and reputation management strategies adapted for each firm’s size, ownership, stock listing status and activity sector.

The results have considerable practical relevance for organizational management. First, they can motivate managers to improve and disclose their company’s social and environmental impacts to strengthen their reputation, which in turn will help accelerate the achievement of the Sustainable Development Goals. Second, the findings can ensure organizations develop disclosure and reputation management strategies adapted for each firm’s size, ownership, stock listing status and activity sector.

To the best of the authors’ knowledge, this meta-analysis is the first to clarify the link between disclosure and reputation, which makes a unique contribution to the field of social and environmental accounting. A larger sample of primary research was collected, and key extrinsic moderators were examined to explain prior studies’ contradictory findings.

The purpose of this article is to identify how the organisations are able to improve their business value through acquisition of business analytics capabilities and by improving their performance.

With the help of literature survey, along with standard resource-based view framework, a conceptual model has been developed. These have been statistically tested by collecting the data using the survey questionnaire from 306 selected respondents from various service sector- and product-based organisations in India. To analyse the data we have used partial least square–based structural equation modelling.

The study highlights that by the help of data acquisition and tool acquisition as two vital components the acquisition of business analytics capabilities could improve the business value of the organisation by strengthening its organisational performance. The findings of this research also indicated that acquisition of business analytics capabilities has a significant influence on an organisation's business process performance and business decision, which in turn significantly influences organisational performance. And organisational performance eventually positively influences its business value. The model was found to provide an explanative power of 71%.

The proposed research model can provide effective recommendations to the management of the organisations to realise the importance of acquisition of effective business analytics capabilities to eventually improve the business value of the organisation.

No specific studies, as yet, have analysed the effects of acquisition of business analytics capabilities for improving organisational performance mediated through business process performance and business decision. Therefore, this research has explored the distinctive effort to empirically validate this understanding.