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Drawing upon social learning theory (SLT), the study examines the consequences of ethical leadership on followers' voice behavior facets (promotive and prohibitive). The study tests hypotheses about the processing mechanism (moral identity) and the boundary condition (proactive personality) to understand these relationships.

The study collected time-lagged survey data through an online structured questionnaire from 182 respondents. Confirmatory factor analysis (CFA) was used to ensure the validity and reliability of the data. Moreover, structural equation modeling was run to test the hypotheses using AMOS.

Ethical leadership positively affects followers' promotive and prohibitive voice behavior via the psychological mechanism of moral identity. Proactive personality moderates the moral identity – promotive and moral identity – prohibitive voice relationships, such that these relations are stronger when the individuals are high on proactive personality.

Robust evidence of a genuine cause-and-effect relationship may not be yielded owing to cross-sectional and self-reported data at the follower level of analysis. Future researchers can use dyadic, longitudinal and experimental designs to overcome these limitations. Organizations targeting to increase voice behavior can benefit from maintaining ethical leaders and proactive followers at the workplace.

The study significantly contributes to the ethical leadership and voice behavior literature. Ethical leadership enhances followers' promotive/prohibitive voice behaviors through their moral identity enhancement. The paper also confirmed that a proactive personality is a critical boundary condition in these relationships. Empirical evidence from the Eastern context has been added, and research directions have also been provided.

This paper aims to specifically analyze the interrelationships of employee political skill and personal reputation with both workplace and non-workplace outcomes. The study further focuses on performance and career development as workplace outcomes and entrepreneurial intentions as a non-workplace outcome, while analyzing employee political skill and personal reputation.

The study uses a survey method, where multi-source data were collected in a time-lagged fashion from the employees working in the textile sector in an under-researched emerging economy setting of Pakistan.

The findings establish that political skill is a significant predictor of employee job performance, career development and entrepreneurial intentions. Moreover, the mediating role of personal reputation was confirmed for the proposed relationships. Hence, the findings highlight the contributory role of personal reputation in the enhancement of workplace and non-workplace outcomes, such as entrepreneurial intentions linked to political skill.

Despite some limitations, this paper offers theoretical implications both for political skill and indirect reciprocity literature. A vital theoretical contribution is extended by studying the mediating role of personal reputation in the main relationships analyzed in this paper. The scope of indirect reciprocity is expanded by identifying personal reputation as a vital mechanism for indirect reciprocity.

Organizations should focus on developing political skill amongst their employees, as these skills are salient for amassing a favorable reputation, that eventually leads to performance, career growth and development of entrepreneurial intentions. Organizations should put in place careful selection and coaching and mentoring programs that equip employees with such skills that eventually lead toward the alignment of employees’ personal goals and organizational goals. Employees, then, could focus on priming both organizational and personal goals.

This paper is one of the pioneering studies that specifically link employee political skill with job performance, career development and entrepreneurial intentions, especially in the relatively volatile and under-researched context of Pakistan. Another novelty of this research is the investigation of personal reputation as a psychological mechanism underlying the primary relationships proposed in this research.

Despite the efforts of project managers and the widespread use of project management methodologies, most of the projects remain unfulfilling in terms of delivering targeted performance. This for most part can be attributed to the inability of an organization to implement control mechanisms and ineffective management of complexity risk. Keeping in view the aforementioned problem, the objective of this study is to investigate the association between control modes and project performance. Moreover, this study also examines the moderating role of complexity risk on the association among various control modes and project performance.

The data were collected from 171 construction projects through a postal questionnaire survey. Partial least squares structural equation modeling was utilized for testing the hypothesized relationships of the research model.

This study found significant positive relation between formal and informal control mechanisms and project performance. It is found that complexity risk significantly moderates the relationship between control modes and project performance. The results indicate that complexity risk positively moderates the relationship between outcome control and clan control with project performance. Furthermore, complexity risks negatively moderates the relationship between behavior control and project performance. However, the association between self-control and project performance is found insignificant in the presence of complexity risk.

This study is the first attempt to study the relationship of control mechanisms, complexity risk and project performance in the construction industry.

The main objective of this research is to analyze the dynamics of academic research on digital entrepreneurship and innovation, unveiling the main research trends developed in the last decade.

The analysis has been carried out using a dual methodological approach comprising bibliometric methods and an innovative three-level systematic review, involving the analysis of the most used keywords, the co-occurrence network of keywords and a traditional review of the abstracts of the 1713 peer-reviewed articles that make up the database under study, with the aim of revealing and discussing the most important research trends developed in the period analyzed.

The results reveal seven major research trends that underscore the fundamental role of digital platforms in democratizing innovation, enabling a more inclusive and collaborative environment wherein startups, established firms, academia and government entities converge to drive technological advancements and societal progress. Additionally, the pressing need for a holistic understanding of digital technologies' potential to spur economic growth, societal progress and sustainable development is highlighted, as well as the challenges posed by privacy, security and the digital divide.

This research has been developed using an innovative methodology, and contributes to the academic discourse by providing a comprehensive overview of the current state and prospects of digital entrepreneurship and innovation for policymakers, entrepreneurs and researchers, urging a collaborative effort to harness the benefits of digital transformation in an equitable and responsible manner, fostering an environment of innovation that is conducive to the sustainable growth of the digital economy.

This work presents the results of a case study aimed at revitalizing an agricultural equipment manufacturing consortium facing prolonged losses. The purpose of this paper is to enhance productivity and profitability by identifying and eliminating waste within the manufacturing processes. The study uses lean principles and tools to achieve this objective.

The study begins with the creation of a questionnaire, administered to the consortium to gather insights. The questionnaire responses serve as a foundation for pinpointing critical areas in need of immediate attention. To tackle the challenge of demand forecasting without customer data, a demand forecasting model is introduced. Value stream mapping (VSM) is used to identify and highlight process inefficiencies and waste. The findings are further analyzed using a Pareto chart to prioritize waste reduction efforts. Based on these insights, the study proposes alternative manufacturing methods and waste elimination strategies. A multiphase lean framework is developed as a step-by-step roadmap for implementing lean manufacturing.

The study identifies a broken process flow within the consortium’s manufacturing processes and highlights areas of waste through VSM. The Pareto chart analysis reveals the most significant waste areas requiring immediate intervention. Recommendations for process improvements and waste reduction strategies are provided to the consortium.

This study contributes to the field by applying lean principles and tools to address the unique challenges faced by an agricultural equipment manufacturing consortium. The integration of a demand forecasting model and the development of a multiphase lean framework offer innovative approaches to enhancing productivity and profitability in this context.

Previous research has analyzed the consequence of network stability; however, little is known about how partner type diversity influence network stability in R&D network. Based on knowledge-based view and social network theory, the purpose of this paper is to unravel the internal mechanisms between partner type diversity and network stability through the mediating role of knowledge recombination in R&D network.

The authors collected an unbalanced panel patent data set from information communication technology industry for the period 1994–2016. Then, the authors tested the different dimensions of partner type variety and its relevance in the R&D network and the mediating role of knowledge recombination through adopting the multiple linear regression.

Results indicate an inverted U-shaped relationship between partner type diversity (variety and relevance) and network stability, whereas knowledge recombination partially mediate these relationships.

From the perspective of R&D networks, this paper explores that there are the under-researched phenomena the antecedent of network stability through nodal attributes (i.e. partner type variety and partner type relevance). Moreover, this paper empirically examined the mediating role of knowledge recombination in the partner type diversity–network stability relationships. The novel perspective allows focal firm to recognize importance of nodal attributes, which are critical to fully excavate the potential capabilities of cooperating partners in R&D network.