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This study aims to propose a combined effect framework to explore the relationship between research and development (R&D) team networks, knowledge diversity and breakthrough technological innovation. In contrast to conventional linear net effects, the article explores three possible types of team configuration within enterprises and their breakthrough innovation-driving mechanisms based on machine learning methods.

Based on the patent application data of 2,337 Chinese companies in the biopharmaceutical manufacturing industry to construct the R&D team network, the study uses the K-Means method to explore the configuration types of R&D teams with the principle of greatest intergroup differences. Further, a decision tree model (DT) is utilized to excavate the conditional combined relationships between diverse team network configuration factors, knowledge diversity and breakthrough innovation. The network driving mechanism of corporate breakthrough innovation is analyzed from the perspective of team configurations.

It has been discerned that in the biopharmaceutical manufacturing industry, there exist three main types of enterprise R&D team configurations: tight collaboration, knowledge expansion and scale orientation, which reflect the three resource investment preferences of enterprises in technological innovation, network relationships, knowledge resources and human capital. The results highlight both the crowding-out effects and complementary effects between knowledge diversity and team network characteristics in tight collaborative teams. Low knowledge diversity and high team structure holes (SHs) are found to be the optimal team configuration conditions for breakthrough innovation in knowledge-expanding and scale-oriented teams.

Previous studies have mainly focused on the relationship between the external collaboration network and corporate innovation. Moreover, traditional regression methods mainly describe the linear net effects between variables, neglecting that technological breakthroughs are a comprehensive concept that requires the combined action of multiple factors. To address the gap, this article proposes a combination effect framework between R&D teams and enterprise breakthrough innovation, further improving social network theory and expanding the applicability of data mining methods in the field of innovation management.

This paper aims to examine the impact of social capital and self-efficacy in the performance of producer organizations. It also tests the mediating influence of self-efficacy in the relationship of social capital and performance of producer organizations.

The study used data from a survey of 226 members of farmer producer organizations (FPO) in India. The model was tested through structural equation modeling wherein all hypotheses were tested using “R” studio.

The findings reveal that social capital and self-efficacy play a significant role in predicting the performance of FPO. It was found that in the process of social capital influencing the performance of FPO, self-efficacy plays a significant role as a partial mediator with a mediating effect of approximately 69.28%.

The study considered only one antecedent while identifying the reasons for perceived performance of FPOs. Hence, further studies of the various other constructs such as attitude, subjective norms, etc., may be considered.

No previous work has examined the mediating role of self-efficacy in the relationship between social capital and perceived performance of FPO. This study is possibly the only one that joins two streams of thought – social capital and self-efficacy – to examine the performance of FPO.

Drawing on social capital theory, this study investigated the effects of structural, cognitive and relational family social capital on employees' career advancement through the mechanism of family-to-work enrichment (FWE), taking perceived organizational politics (POP) as a moderator.

Survey data were collected from 252 full-time employees working in public institutions and government departments in China, a collectivist cultural context. Hierarchical regression and path analysis were conducted to test the hypotheses.

FWE significantly mediated the positive relationships between the three subtypes of family social capital and career advancement. The effects of structural and cognitive family social capital, but not relational family social capital (RFSC), on FWE were stronger when POP was low (vs high).

FWE is arguably a promising mechanism for explaining the links between family social capital and career outcomes. However, due to the cross-sectional nature of the data, conclusions regarding causality remain limited.

Family social capital may enrich the careers of employees in collectivist cultures. Managers should mitigate their organization's political climate to promote employees' career advancement.

This study contributes to career research by linking family social capital to career outcomes through the lens of FWE for the first time and by identifying organizational politics as an important moderator that can influence the dynamics of resource enrichment in a collectivist culture.

Research suggests that engaging in networking behaviors can affect individual work outcomes. However, relatively less is known about how internal versus external networking behaviors influence work outcomes, and whether gender moderates these relationships. Drawing on social capital theory and social role theory, the authors propose a positive relationship between employees' internal and external networking behaviors and their work outcomes (job commitment and career success), and the moderating effect of gender. The authors also explore employee preference in networking.

Based on a sequential mixed-method research design with a four-month time lag, Study 1 data on networking behaviors and employee outcomes were collected via a survey of middle managers and their supervisors from 10 private sector organizations in Sri Lanka. Study 2 data were collected via interviews from a sample of those middle managers and their supervisors.

Study 1 findings indicate a positive relationship between internal networking behaviors and job commitment, and external networking behaviors and career success. The authors also found that internal networking behaviors enhance job commitment. Study 2 findings indicate men and women network differently and benefit differently from that networking but achieve equitable workplace benefits.

This study provides pioneering evidence that internal networking behaviors enhance job commitment among women. It appears that past research did not test the moderating effect of gender for internal versus external networking behaviors separately. Moreover, this study refines the evidence that internal and external networking behaviors differentially impact employee outcomes and explains the processes through a qualitative inquiry.

This study answers the call for research and theorising exploring ethical communication and brand risk from the African continent. The study's purpose was to identify the challenges that strategic communication practitioners face in enacting ethical crisis communication in South Africa.

The researchers conducted ten in-depth interviews with South African strategic communication professionals.

The dominant theme emerging from the study is the marginalisation and exclusion of the communication function in decision-making during crisis situations. Communicators were viewed as implementers, technicians and not strategic counsel. The protection of organisational reputation was done at the expense of the ethics and moral conscience of practitioners. Practitioners were viewed and deployed as spin doctors and tools to face unwanted media interactions.

The article sheds light on the concepts of ethical communication and decision-making in a multicultural African context using the moral theory of Ubuntu and strategic communication. It demonstrates the tension professionals experience as they toggle between unethical capitalist approaches and African values. The practitioner's role as organisational moral conscience is hindered, suppressed and undermined by organisational leadership's directives to use opaque, complex communication, selective transparency and misrepresentation of facts.

The purpose of this study is to provide a harmonisation framework for the diverse accounting practices by extractive industries.

The study takes a three-stage approach. The first involves a comprehensive literature review of the historical evolution of accounting regulations by extractive industries. The second involves constructing an accounting practice index for extractive industries. The third involves constructing a harmonisation framework.

The accounting practice index provides empirical evidence of the wide diversity of accounting practices by extractive industries. Analysis of the literature review addresses the several attempts by accounting and regulatory bodies to standardise the diverse practices of accounting by extractive industries and reasons for the lack of successful standardisations. The authors extract lessons from these previous attempts and propose a harmonisation framework.

The proposed harmonisation framework can be used to align together the diverse accounting practices by extractive industries and enhance comparability and consistency of accounting figures and statements produced by these industries. Harmonising the diverse accounting practices is crucial for investment decision-making.

The harmonisation framework is the first of its kind that could enhance the comparability of accounts of extractive industries’ firms and be used to harmonise diverse accounting practices by other industries.