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The purpose of this paper is to robustly establish whether firms are implementing Lean or Agile production in the automotive supply chain (SC) and, by drawing on contingency theory (CT) as our theoretical lens, independently determine whether Lean and Agile firms can be distinguished based upon contextual factors.

Primary quantitative data from 140 firms in the West Midlands (UK) automotive industry were obtained via a constructed survey. Analysis incorporated the use of logistic regressions to calculate the probability of Lean and Agile organisations belonging to different groups amongst the contextual factors investigated.

Lean and Agile firms co-exist in the automotive SC and Lean firms were found to be at higher tiers of the SC, while Agile firms were found to be at lower tiers.

The originality of this study lies within the novel methodological attempt used to distinguish Lean and Agile production, based upon the contextual factors investigated. Not only is the importance of CT theoretically approved, but “received wisdom” within SC management is also contested. Extant literature propagates that the automotive SC is comprised of organisations that predominantly adopt Lean production methods, and that in SCs comprised of both Lean and Agile organisations, the firms closer to the customer will adopt more flexible (Agile) practices, while those that operate upstream will adopt more efficient (Lean) practices. The findings from this study have implications for theory and practice, as Lean and Agile firms can be found in the automotive SC without any relationship to the value-adding process. To speculate as to why the findings contest existing views, resource dependence theory and, more specifically, a power perspective, was invoked. The authors provide readers with a new way of thinking concerning complicated SCs and urge that the discipline of SC management adopts a “fourth” SC model, depicting a new Lean and Agile SC configuration.

The purpose of this paper is to contribute to the existing knowledge system of lean supply chain management (LSCM), i.e. by using main path analysis, and the authors extract the main development track of LSCM. It is advantageous for relevant scholars to deepen their understanding of this academic field from a bibliometrics view to grasp the future directions better.

Structuring a citation network with the processed data set containing 866 papers and relevant information collected from Web of Science (WoS). Conducting review analyses aiming at the main paths that are extracted from the above citation network.

There are two different evolution paths in LSCM field, i.e. improving corporate sustainability performance through combining lean and green practices, and seeking the balance between lean and agility to structure leagile supply chain for specific industries. LSCM research studies mainly focus on five aspects: (1) establishment and development of LSCM theory; (2) structuration of lean supply chain; (3) research studies of the relationship between LSCM and corporate performance; (4) supply chain evaluation system; and (5) review and vista of LSCM field. The intersection of two knowledge evolute routes would be Industry 4.0, which is an integrated theory system combining lean, agility, green and other supply chain thinking.

The data set collected from WoS cannot contain all the research studies about LSCM is the main research limitation. Sustainability, as represented by environmental performance, will continue to be a major pursuit of this field. Integrating LSCM in Industry 4.0 will be the next hotspot in LSCM field.

Providing the main research contents and common methods of LSCM field. It is conducive to deepening the understanding of relevant practitioners and scholars to LSCM field from a dynamic perspective.

To the best of the authors’ knowledge, it is the first time to reveal the knowledge diffuse trajectories of LSCM under different view with main path analysis. This study is unique that it provides a new view to understand the field of LSCM.

This study aims to evaluate the impact of firm, industry level determinants and ownership concentration on the dynamic capital structure decision in Indonesia and analyses the governing theories.

This study uses the dynamic panel model of generalized method of moments-System (one-step and two-step) by using a panel data from 2000 to 2014 to examine the relationship between the determinants and leverage. The results are robust to the various definitions of leverage, heterogeneity, autocorrelation, multicollinearity and endogeneity concern.

Growing firms and firms operating in a highly concentrated industry use high level of debt, taking advantage of the tax shield (trade-off theory). However, if the firms are operating in a highly dynamic environment, they take on less debt as to avoid bankruptcy risk. Firms in Indonesia opt for debt financing perhaps to act as a controlling mechanism to mitigate agency conflicts that may exist between the large controlling shareholders and the minority. Aged and highly profitable firms with high tangible and intangible assets and liquidity level operating in a high dynamic environment follow the pecking order theory.

This study does not perform each industry regression individually. All the industries are pooled together, as the main focus of this study is to examine the factors affecting leverage of firms in general without giving particular attention to individual industry.

The insights on the impact of ownership concentration and industry characteristics are novel especially on Indonesia, thus fill the gap in the literature.

The coronavirus disease 2019 pandemic changed the lives of people around the world. In a post pandemic era, leaders have a role to enable the changes needed to make workplaces smart and happier. The aim of this study is to look at human resource management (HRM) from new perspectives: being smart and happy in the workplace. Some research questions are proposed: What do we know about smart human resources (smart HR)? What do we know about human resource analytics (HRA)? and how can future research on smart and happy HRM be oriented?

A bibliometric technique is used to identify the main topics studied in smart HR and HRA. A logical reasoning is applied to propose future research models.

For smart HR, the roadmap considers the approaches, practices and purposes. For HRA, the roadmap shows what are the perspectives HR processes, tools and its usefulness. Considering the context of Industry 5.0 and post pandemic era, a future research line for studying smart HRA for happy management is proposed.

This study has developed a proposed model to guide future research on the application of HRA to manage smart and happy workers.

The purpose of this article is to analyze the optimization process in depth, elaborating on the components of the entire process and the techniques used. Researchers have been drawn to the expanding trend of optimization since the turn of the century. The rate of research can be used to measure the progress and increase of this optimization procedure. This study is phenomenal to understand the optimization process and different algorithms in addition to their application by keeping in mind the current computational power that has increased the implementation for several engineering applications.

Two-dimensional analysis has been carried out for the optimization process and its approaches to addressing optimization problems, i.e. computational power has increased the implementation. The first section focuses on a thorough examination of the optimization process, its objectives and the development of processes. Second, techniques of the optimization process have been evaluated, as well as some new ones that have emerged to overcome the above-mentioned problems.

This paper provided detailed knowledge of optimization, several approaches and their applications in civil engineering, i.e. structural, geotechnical, hydraulic, transportation and many more. This research provided tremendous emerging techniques, where the lack of exploratory studies is to be approached soon.

Optimization processes have been studied for a very long time, in engineering, but the current computational power has increased the implementation for several engineering applications. Besides that, different techniques and their prediction modes often require high computational strength, such parameters can be mitigated with the use of different techniques to reduce computational cost and increase accuracy.

This study is the maiden attempt to understand the effect of specific human resource practices (HRPs) on employee retention (ER) with the mediation of job satisfaction (JS) and moderation of work experience (WE) and job hopping (JH) in the context of the textile industry.

This study adopted a quantitative methodology and applied quota sampling to gather data from employees (n = 365) of leading textile companies in India. The conceptual model and hypotheses were tested with the help of Partial Least Squares-Structural Equation Modelling (PLS-SEM).

The findings of a path analysis revealed that compensation and performance appraisal (CPA) have the highest impact on JS followed by employee work participation (EWP). On the other hand, EWP had the highest impact on ER followed by grievance handling (GRH). The study revealed that JS significantly mediates between HRPs like CPA and ER. During Multi-group analysis (MGA) it was found that the importance of EWP and health and safety (HAS) was more in employee groups with higher WE, but it was the opposite in the case of CPA. In the case of JH behavior, the study observed that EWP leads to JS in loyal employees. Similarly, JS led to ER, and the effect was more pronounced for loyal employees.

In the context of the Indian textile industry, this work is the first attempt to comprehend how HRPs affect ER. Secondly, it confirmed that JS is not a guaranteed mediator between HRPs and ER, it could act as an insignificant, partial or full mediator. Additionally, this study establishes the moderating effects of WE and JH in the model through multigroup analysis.

The purpose of this paper is to analyze the excecution of various leadership styles, namely, transactional, transformational and laissez-faire that are being practiced among the government organizations in the Kingdom of Bahrain. The study compares and differentiates these three leadership styles with that of the major Islamic leadership concepts.

The study used a descriptive analytical method. A number of 100 government employees participated in the survey which has been selected as the sample of the study using the snowball sampling technique.

The study detects that the transactional leadership is the most highly applied leadership style in the government organizations of Bahrain. The finding is identified on the basis of the employees’ attributes based on their gender (male and female); current positions (employee and manager); work experience (less than a year, from one to five years, from 6 to 10 years); and age (less than 20 years, from 20 to 35 years, from 36 to 50 years, more than 50 years). Meanwhile, the second style mostly applied among the employees is the transformational leadership style. It is perceived that this style has been applied by employees with 10 years of work experience and are in the age group of more than 50 years. The least applied leadership style is the laissez-faire.

The study can be used by the Government of Bahrain to set up policies on how to improve efficiency within the government organizations in the Kingdom. This study also fills up the gap in the leadership styles literature, as no prior studies of this manner involving the government organizations of the Island have ever been conducted.

This paper aims to study the main trends of scientific research in Islamic finance’s social aspects to clarify place, role and functions, especially in the context of increasing social problems. To achieve this goal, this paper focuses on the social component of Islamic finance, analyzes publications on social Islamic finance in the Web of Science database, covering the period from 1979 to 2020, specify the geographical localization of research networks, determines the most cited authors and their scientific position.

The authors have applied several literature review techniques, a bibliometric citation and co-citation analysis, a co-authorship analysis and a review of the most cited papers. The analyzes’ results allow us to offer five future questions in Islamic social finance, zakat and waqf, which have not been investigated before and could influence Islamic social finance and Islamic finance research.

The authors also derive and summarize five leading future research questions.

This is a limitation of using only the Web of Science Core Collection database as the premier resource and the most trusted citation index for the world’s scientific and scholarly research. Further study might expand the types of analyzed units, include more keywords and include other databases, such as Scopus.

This paper can be considered as an inspirational one to future researchers and policymakers in Islamic social finance.