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This paper aims to explore the relationship between personality traits (introversion versus extroversion) and knowledge acquisition (KA) techniques.

The major methodology of the current study is survey. Results are based on 152 usable responses provided by experts in different industries including electronic, communication, information technology, computer and biology. The major analytical technique used is Pearson correlation analysis.

According to the results, there are significant relationships between personality traits (i.e. introversion versus extroversion) and KA techniques.

This study was conducted on data from 152 Iranian experts which limits the generalizability of the results. This limitation can be addressed by future studies conducting similar studies on cross-country samples. Further, due to the analytical technique adopted in this study, causality implications cannot be drawn from the results.

This study reveals linkages between personality traits (i.e. introversion versus extroversion) and KA techniques. Results shed light on the KA process for both scholars and practitioners involved in KA programs in the organizations.

The purpose of this paper is to advance a holistic model of venture capital (VC) firms’ syndication decisions in an emerging economy. When considering syndication with local partners, VC firms consider multiple sources of risk related to firm-specific characteristics (life-cycle, operational and political). In conjunction with these risk factors, they also consider their own capabilities, namely, their knowledge breadth and knowledge depth. Knowledge breadth stems from a VC firm’s network position and knowledge depth is a result of its prior industry expertise. Together, these capabilities have competing impacts on VC firms’ desire to syndicate. From one perspective, VC firm capabilities may help deal with risk such that syndication may not be perceived as necessary. Alternatively, VC firm capabilities may signal attractiveness to a local partner and allow the VC firm to syndicate more easily.

Fuzzy-set qualitative comparative analysis is conducted on a sample of 111 US VC firms investing in China between 1993 and 2010.

Lower VC firm capabilities are associated with a tendency not to syndicate with a local partner when venture risk factors are low. This pattern may arise because of such VC firms’ relative lack of experience with partnership management or weaker appeal to local partners.

This study is one of the earliest attempts to develop a neo-configurational perspective within the VC literature and thus contributes to a more nuanced understanding of international VC firms’ strategic behaviour in emerging economies by examining multiple risks and capabilities simultaneously and in conjunction.

The goal of this paper is to present the main critical failure factors extracted from analyzing ten case studies of failure in knowledge management (KM) systems and projects and present a framework in which the failure factors are linked to the different stages in the cycle of KM implementation.

“Grounded theory” as a qualitative research technique has been applied to explore the main failure factors. Data was collected reviewing scholarly articles containing KM case studies (failure in KM implementation) and after an in-depth study – applying grounded theory method – the results of main critical failure factors categorized and analyzed in specific stages of implementing KM systems.

Through review and analysis of ten case studies, two main results were obtained. First, the main critical failure factors of KM projects were identified. Second, identified critical failure factors were traced along the KM implementation cycle. A framework is proposed that shows the critical failure factors' effect in each specific stage of the KM cycle.

The results of this research are generalized based on cases from prior literature. However, the authors have tried to be as inclusive as possible to ensure a representative sample of reported KM failures. In addition, organizations do not provide accurate reports of failure in their projects because of their policies, the image of their organization, and privacy, which could affect the identification of all failure factors.

The findings are incorporated into a framework of failure factors in KM projects and the proposed framework can help practitioners in organizations to avoid factors that lead to the demise of KM systems in each stage of the KM project development cycle. This multi-case study research and its suggested framework are also useful for academics to gain a comprehensive view of KM critical failure factors for future studies.

To the authors' knowledge this study is the first of its kind to provide an integrated perspective of critical failure factors for the implementation of KM through the inspection of ten case studies and maps the failure factors on KM implementation cycle. It provides valuable information and guidelines that will hopefully pave the way for managers to avoid failure in implementation of a KM.

The main purpose of this paper is developing a framework for human resource strategy (HRS) planning based on knowledge maps in organizations.

Considering literature review of HRS planning in one hand and knowledge mapping in another hand to develop a framework, and then deploying this framework in a company as case study.

A knowledge map-driven framework for HRS formulation, which attempts to improve the process of HRS, is the main finding of this research. The results of the implementation of this model in a knowledge-based IT company may show its potential capability for deploying the model in similar corporations for better formulation of HRS.

Linking of HRS with knowledge maps is quite new. This paper opens up new outlines in human resource management from a knowledge-based point of view. It may have value for experts who work and research in both areas especially in the field of human resources in knowledge-based organizations.

This paper suggests that BoP producer businesses provide greater potential positive impact on poverty alleviation than BoP consumer businesses. With this purpose, the authors explore the positive short‐term and long‐term economic effects of BoP producer businesses on the poor and compare these effects with those from BoP consumer businesses.

The paper applies several economic and organizational theories to BoP businesses to shed light on the value each creates for the poor.

It is argued that BoP producer businesses create more economic value for the poor by providing these societies with access to markets, capital and capabilities, and organizational advantages they currently lack.

Implications for the poor, businesses considering opportunities at the BoP, and future research are discussed.

With the help of economic theories, this paper describes the ways in which access to markets, well‐established organizations, and technology help remedy poverty. This paper also contributes to the BoP literature by focusing upon BoP producer businesses. By comparing BoP consumer and producer businesses, the authors highlight several advantages of production at the BoP.

The purpose of the current study is to explore the influence of knowledge management (KM) in education management organizations (EMOs) Schools of Pakistan. Knowledge plays a pivotal role in the development of an organization due to sharing and managing of knowledge within an organization. In an era of competitiveness, KM has become a significant factor for the sustainable development of educational organizations. Knowledge and KM has become a key element in various fields of knowledge including health, technologies, engineering, social sciences, natural science, business and education. Organizations can adopt KM to improve effectiveness and gain advantage over other organizations. Also, it helps them to make well calculated decisions for the benefit of the organization. KM leads to increase in efficacy, more work, better performance, enhancing staff’s competency through quality decisions.

The research study is descriptive type research by nature, and a qualitative approach was adopted for gathering data and within it the desk review was conducted. The data was analyzed through content analysis techniques. The secondary data was collected in this study. Therefore, the unit of analysis includes the government documents, published research articles and international agencies reports, journal articles, websites, e-books and internet resources, conference papers, case studies and the statistics available on KM in development of organizations in educational settings.

The findings of the study show that through KM the EMOs school can perform better and give outstanding results in terms of student’s achievements. Further, organizations can develop a system which helps them to take timely decisions for enhancing the image of school among all stakeholders including parents, community, teachers and society.

The present study can benefit educational organizations, stakeholders, policymakers, provincial and federal governments and society. This will contribute to the new body of knowledge in the domain of education for knowledge creation and sharing.

This study is conducted in the context of EMOs schools. So, this may be the first research study in this area. In this connection, the study has originality in the context of KM in educational organization in Pakistan.

Building on social exchange and deontic justice theory, this study aims to examine the relationship between supervisory justice (i.e. interactional, procedural and distributive) and conflict (i.e. relationship, process and task) through subordinates’ perceptions of psychological safety. Moreover, the authors hypothesize that interactional justice differentiation (IJD) within a workgroup at the group level interacts with supervisory justice at the individual level, affecting subordinates’ psychological safety and conflict.

Data were collected using a survey conducted among 378 service sector (banks, hospitals and universities) employees working under 54 supervisors.

Multi-level data analysis demonstrates that supervisory justice positively influences psychological safety, negatively affecting conflict. Moreover, psychological safety mediates the supervisory justice–conflict relationship. A cross-level interaction partially supports the conditional indirect effect of IJD in the supervisory justice–conflict relationship via psychological safety.

Following moral principles based on a deontic perspective, this study stretches the understanding of how to treat employees in a workgroup while creating a healthier working environment to minimize conflict fairly. This study extends the limited research on supervisory justice by conceptualizing employees’ perceptions of justice beyond an individual-level analysis.

This research aims to identify the optimal configuration of investment which leads firms to their best competitive positions, considering the degree of concentration in the market.

The methodology was quantitative and based on secondary data with samples of 124, 106 and 90 firms from competitive environment classified as perfect competition, monopolistic competition and oligopoly, respectively. Proposed models' parameters were estimated by means of genetic algorithms.

Adjustments on firm's investment are contingent on the degree of competition they face. Results are in line with existing academic research affirmation that the purpose of investments is to create and exploit opportunities for positive economic rents and that investments allow firms to protect from rivals' competitive actions and reinforce the need for investment decision makers to consider the environment in which the firm is competing, when defining the amount of investment that must be done to achieve and maintain a favorable competitive advantage position.

This research brings two main original contributions. The first one is the identification of the optimal amount of capital and R&D investments which leads firms to their best competitive positions, contingent to the degree of concentration of the competitive environment in which they operate, and the size of the firm. The second one is related to the use of genetic algorithms to estimate optimization models that considers the three competitive environments studied (perfect competition, monopolistic competition and oligopoly) and the investment variables in the linear and quadratic forms.

The aim of this paper is to offer a comprehensive overview of the field of international human resource management (IHRM) research by tracing its evolutionary development over a 24-year period. The study seeks to understand how the field has progressed by considering historical research themes and their subsequent integration into more recent scholarly work, thereby identifying current and emerging research trends.

This paper employs bibliometric analysis to examine the evolutionary path of IHRM research from 1995 to 2019. A dataset of 1,507 articles from journals specializing in IHRM, international business and general management was created. Analysis at the keyword, thematic and network levels was conducted to identify trends, historical context and the interrelatedness of research themes.

The analysis reveals that IHRM research has gone through several phases of thematic focus, from initial emphasis on cultural differences and expatriate management to more recent topics like global talent management and digital transformation. Earlier research themes continue to be incorporated and re-contextualized in modern scholarship, highlighting the field’s dynamic nature.

This paper is one of the first to use a bibliometric approach to systematically examine the evolution of IHRM research. It not only provides a historical perspective but also outlines future research trends, incorporating the institutional logic perspective. The findings offer deep insights that are valuable for researchers, practitioners and policymakers interested in the development of IHRM research and its practical implications.

Drawing on a dynamic capability view, this study develops a decision support model that determines the most suitable configuration of strategies and challenges to adopt additive manufacturing (AM) to expedite digital transformation and performance improvement of the surgical and medical device (SMD) supply chain.

To investigate the research objective, a multi-method and multi-study research design was deployed using quality function deployment and fuzzy set qualitative comparative analysis.

The study finds that only resilience strategies or negation (i.e. minimisation) of challenges are not enough; instead, a configuration of resilience strategies and negation of challenges is highly significant in enhancing performance.

SMD supply chain decision-makers will find the decision support model presented in this study as beneficial to be resilient against various challenges in the digital transformation of service delivery process.

This study builds new knowledge of the adoption of AM technology in the SMD supply chain. The decision support model developed in this study is unique and highly effective for fostering digital transformation and enhancing SMD supply chain performance.