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Industry 4.0 or I4.0 has transformed the manufacturing landscape by integrating social and technical factors by means of the sociotechnical framework. However, the sociotechnical aspects of digitalization of total quality management (TQM 4.0), especially in small and medium enterprises (SMEs) remain largely unexplored. This groundbreaking research endeavors to delve into the pivotal role played by social (soft) and technical (hard) TQM 4.0 in driving I4.0 readiness among SMEs.

A research framework has been developed by harnessing the principles of Socio-technical systems (STS) theory. Data collection from a sample of 310 randomly selected SMEs manufacturing in Malaysia through an online survey approach. The collected data is then subjected to analysis using Partial Least Square-Structural Equation Modeling (PLS-SEM) through SmartPLS.

The study findings indicate that both hard and soft TQM 4.0 factors are vital to promoting I4.0 readiness (R² = 0.677) and actual implementation (R² = 0.216). Surprisingly, the findings highlight that customer-related construct has no impact on hard TQM 4.0 attributes. Furthermore, hard TQM 4.0 factors have played a partial mediating role on the relationship of soft TQM 4.0 and I4.0 attributes (20% = VAF = 80%).

This is a novel research as it explores the underexplored domain of sociotechnical aspects of TQM 4.0 within SMEs amid I4.0 transformation. The study distinctive contributes include revealing the pivotal role of both soft and hard TQM 4.0 factors in driving I4.0 readiness, emphasizing the primacy of people-related dimensions for successful implementation in manufacturing SMEs.

Despite just eight years remaining to meet the sustainable development goals (SDG, 2030), the manufacturing industry faces numerous challenges for small and medium-sized enterprises (SMEs). Some notable challenges include integrating sustainability, circular economy (CE), and industry 4.0 (I4.0) technologies in a productive manner. However, there is a paucity of evidence available on the role of institutional pressures and organizational resources to promote I4.0 and sustainability. To fill this void, this study develops and tests a model based on institutional theory and resource-based view (RBV) theory while also taking company size into view as a moderating construct.

To test the study hypotheses and validate the model, data were obtained through a survey from 228 randomly selected SMEs manufacturing in China. Structured equation modeling and multigroup analysis were used to analyze the data.

The research findings indicate that institutional pressure has a positive effect on organizational resources (i.e., tangible and intangible), which are capable of orchestrating I4.0 readiness effectively. Also, I4.0 readiness has a positive effect on sustainable manufacturing practices and CE capabilities. Finally, firm size was revealed to be a significant moderator in driving overall integration.

Based on the findings, practical implications and future research directions are discussed.

Based on the institutional and RBV theories, this research shows how SMEs could be influenced by different stakeholders to acquire and develop their resources and capabilities to accelerate I4.0 readiness that further enhances sustainable practices.

This paper aims to examine the relation between resonant leadership (RL) and organizational citizenship behaviors while testing for the mediation effects of followers’ resilience (FR) and gender as a moderating effect, all within the United Arab Emirates (UAE) business environment.

The paper uses cross-sectional data collected through a questionnaire from 467 employees working at various organizations in the UAE. The data were analyzed using the Statistical Package for the Social Sciences (SPSS) software. The mediating and moderating effects were tested using Preacher and Hayes’s (2008) macro models.

Results confirmed that RL positively affected employees’ organizational citizenship behaviors (OCBs). It also confirmed the mediating role of FR between RL and organizational citizenship behavior. Gender moderated the relation between RL and OCB but not between RL and FR.

Managers can use RL styles to improve workers’ resilience and OCB of employees, especially females.

It is important to understand the relation between such variables in times of crisis, such as the COVID-19 pandemic, where the relationship between the leadership style of the organizational managers and employees can greatly impact employees’ behaviors and organizational performance.

This research conducts bibliometric analyses and network mapping on smart libraries worldwide. It examines publication profiles, identifies the most cited publications and preferred sources and considers the cooperation of the authors, organizations and countries worldwide. The research also highlights keyword trends and clusters and finds new developments and emerging trends from the co-cited references network.

A total of 264 records with 1,200 citations were extracted from the Web of Science database from 2003 to 2021. The trends in the smart library were analyzed and visualized using BibExcel, VOSviewer, Biblioshiny and CiteSpace.

The People’s Republic of China had the most publications (119), the most citations (374), the highest H-index (12) and the highest total link strength (TLS = 25). Wuhan University had the highest H-index (6). Chiu, Dickson K. W. (H-index = 4, TLS = 22) and Lo, Patrick (H-index = 4, TLS = 21) from the University of Hong Kong had the highest H-indices and were the most cooperative authors. Library Hi Tech was the most preferred journal. “Mobile library” was the most frequently used keyword. “Mobile context” was the largest cluster on the research front.

This study helps librarians, scientists and funders understand smart library trends.

There are several studies and solid background research on smart libraries. However, to the best of the author’s knowledge, this study is the first to conduct bibliometric analyses and network mapping on smart libraries around the globe.

The objective of this study is to examine the impact of PAKSERV model on customers' satisfaction, loyalty and trust in Malaysian Islamic banks. These comprehensive measures concern on the cultural dimension of service quality by focusing on the mediating role of trust in the Malaysian context.

A survey was conducted involving 401 customers of Islamic banks in the states of Kuala Lumpur and Selangor, Malaysia. The data were analyzed through exploratory factor analysis, confirmatory factor analysis and structural equation model employing AMOS 23 and SPSS 23.

The study found positive relationship of PAKSERV dimensions of service quality, customers' satisfaction, customers' loyalty and the mediating role of trust in enhancing customers' loyalty. This study provides new evidence on how trust can act as a partial mediation on the relationship between customers' satisfaction and customers' loyalty in the cultural context of Islamic banking in Malaysia.

The findings of this study can be used as a framework for other Islamic Financial Institutions (IFIs) in improving services to its customers.

This study contributes to the body of knowledge in enhancing the understanding on customers' satisfaction, loyalty and trust in Islamic banks in Malaysia. This study also covers a broad range of respondents, hence representing a good diversity of Islamic banks' customers.

Sustainability is essential to the ongoing operations of banks, though it is much less clear how Islamic corporate governance (ICG) promotes economic sustainability (ES) and thereby prevents bankruptcy. To explore the unexplored, this study aims to examine the efficacy of ICG in preventing bankruptcy and enhancing the ES of Islamic banks operating in Pakistan.

The current study measures ES through Altman's Z-score to analyze the level of the industry's stability and consequently examines the effect of ICG on the ES of Islamic banks in Pakistan for the post-financial-crises period. Using the country-level data, this study utilized a fixed-effect model and two-stage least squares (2SLS) techniques on balanced panel data spanning from 2009 to 2020 to provide empirical evidence.

The empirical results unveiled that board size and meetings have a significant positive influence on the ES while managerial ownership demonstrated an unfavorable effect on ES. Interestingly, the insignificant effect of women directors became significant with the inclusion of controlled variables. Overall, the findings indicate that ICG is an efficient tool for promoting ES in Islamic banks and preventing them from the negative effects of emerging crises.

The findings provide concrete insights for policymakers, regulators and other concerned stakeholders to execute a sturdy corporate governance system that not only oversees the economic, social and ethical aspects but also provides measures to alleviate the impacts of potential risks like the COVID-19 pandemic.

Examining the role of ICG in alleviating bankruptcy risk is an informative and useful endeavor for all social actors.

To the best of the authors’ knowledge, this study is one of the first efforts to provide evidence-based insights on the role of ICG in preventing bankruptcy and offers a potential research direction for ES.

Intellectual capital (IC) is a paramount resource for competitiveness in the knowledge-based financial sectors of the economy. As financial technology advances, specifically in the banking industry, it is vital to understand the effect of IC on financial performance. This study aims to investigate the effect of IC on return on equity (ROE), with a unique emphasis on the moderating role of board attributes. Previous studies have overlooked this moderating role.

The study sample consists of 17 banks and a panel data set spanning 2016–2021, extracted from annual reports. Antel Pulic’s value-added intellectual coefficient (VAIC) model is used to compute IC. To analyze the data, a generalized least squares analysis is conducted. The robustness of the analysis is ensured by using the two-stage least squares (2SLS) econometric technique.

The findings indicate that both the VAIC and human capital efficiency (HCE) have a significant impact on the ROE of banks. In terms of moderation, it is observed that board size (BS) exerts a negative effect on the association between VAIC, HCE, structural capital efficiency and ROE. Additionally, BS positively compounds the connection between capital employed efficiency and ROE. Similarly, the presence of independent directors (IND) significantly moderates the effects of VAIC and its components on the ROE of banks in Pakistan.

Banks should focus on the HCE for a higher ROE. Moreover, banks ought to prioritize appointing more independent directors in the boardroom for effective utilization of IC and greater ROE.

The findings of the study, which analyzed data from Pakistan’s banking sector, are original and provide additional insights into the literature on IC and board attributes.

The study aims to investigate the effect of entrepreneurial leadership (EL), competencies (ECs) and intentions (EIs) on enterprise performance (EP) via entrepreneurial resilience (ER) and risk-taking propensity (RTP).

Data were collected from 403 early-stage small and medium enterprise (SME) owners in Pakistan at two-time intervals and were analyzed using AMOS 22.

All predictors (i.e. EIs, EL and ECs) positively affected EP and ER, except for EL and ER. Furthermore, RTP and ER were serially mediated in linking EIs and ECs with EP but could not establish a link between EL and EP.

The findings reveal that the Pakistani government and business owners must focus on SMEs’ sustained development and prioritize ECs.

This paper is unique in nature, as understanding EIs, EL and ECs in a holistic framework has never been tested before in relation to EP.

The entropy and thermal behavior analyses of non-Newtonian nanofluid double-diffusive natural convection inside complex domains may captivate a bunch of scholars’ attention because of the potential utilizations that they possess in modern industries, for example, heat exchangers, solar energy collectors and cooling of electronic apparatuses. This study aims to investigate the second law and thermal behavior of non-Newtonian double-diffusive natural convection (DDNC) of Al₂O₃-H₂O nanofluid within a C-shaped cavity emplacing two hot baffles and impacted by a magnetic field.

For the governing equations of the complicated and practical system with all considered parameters to be solved via a formidable numerical approach, the finite element method acts as an approach to achieving the desired solution. This method allows us to gain a detailed solution to the studied geometry.

This investigation has been executed for the considered parameters of range, such as power-law index, baffle length, Lewis number, buoyancy ratio, Hartmann number and Rayleigh number. The main results reveal that isothermal and concentration lines are significantly more distorted, indicating intensified concentration and temperature distributions because of the growth of baffle length (L). Nu_ave decreases by 8.4% and 0.8% while it enhances by 49.86% and 33.87%, respectively, because of growth in the L from 0.1 to 0.2 and 0.2 to 0.3.

Such a comprehensive study on the second law and thermal behavior of DDNC of Al₂O₃-H₂O nanofluid within a C-shaped cavity emplacing two hot baffles and impacted by magnetic field has not yet been carried out.

It has been demonstrated in the US market that expected market excess returns can be predicted using the average higher-order moments of all firms. This study aims to empirically test this theory in emerging markets.

Two measures of average higher moments have been used (equal-weighted and value-weighted) along with the market moments to predict subsequent aggregate excess returns using the linear as well as the quantile regression model.

The authors report that both equal-weighted skewness and kurtosis significantly predict subsequent market returns in two countries, while value-weighted average skewness and kurtosis are significant in predicting returns in four out of nine sample markets. The results for quantile regression show that the relationship between the risk variable and aggregate returns varies along the spectrum of conditional quantiles.

This is the first study that investigates the impact of third and fourth higher-order average realized moments on the predictability of subsequent aggregate excess returns in the MSCI Asian emerging stock markets. This study is also the first to analyze the sensitivity of future market returns over various quantiles.