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This study aims to analyze the factors that drive or prevent interorganizational data sharing in the context of digital transformation (DT). Data sharing appears as a precondition for companies to capture emerging opportunities in supply chain management and for product-related servitization; however, there are ongoing concerns, and data are often perceived as the “new oil.” It is thus important to gain a better understanding of the determinants of firms’ decisions.

The authors develop an embedded case study analysis involving 16 firms within an extended supply network in the automotive industry. The authors focus on the peculiarities of the new context, as opposed to elements highlighted by research prior to the advent of the latest technologies. Abductive reasoning is applied to the theoretical foundations of the resource-based view, resource dependence theory and the complex adaptive systems perspective.

Data sharing is largely underpinned by factors identified prior to DT, such as data specificity, dependence dynamics and protection mechanisms and the dynamism of the business context. DT, however, can influence the extent of data sharing. New factors concern complementarities whenever data are pooled from different sources and digital platforms, as well as different forms of data ownership protection.

This study stresses that data sharing in the context of DT can be explained through established theoretical lenses, providing the integration of elements accounting for new technological opportunities.

The purpose of this study is to investigate the impact of political skills of faculty members in Chinese universities on their tendency to obtain knowledge shared by their colleagues, as well as their tendency to share knowledge with their colleagues. Moreover, this study investigated the role of collectivistic culture in a workplace as the moderating variable that may influence the effect of political skill on knowledge sharing.

Survey data were obtained from 387 faculty members across six universities located in the northern and the central cities of China. Partial least squares structural equation modeling was used as the statistical method for data analysis.

The results provided significant evidence that supported the positive effect of political skill on knowledge sharing. Furthermore, the moderating effect analysis showed that in the workplaces that had strong collectivist culture, the degree to which employees obtained knowledge shared by others, as well as the willingness of employees to share their knowledge to others, was more likely to happen as compared to that in the workplaces that had a weak collectivist culture.

As part of human capital development policies, political skill training could be an intervention to promote knowledge sharing among faculty members. The training may be particularly helpful to promote knowledge sharing in a workplace that adopts individualistic culture more than in a workplace that adopts collectivistic culture.

This study provided new evidence that extended previous studies by unveiling the moderating effect of collectivist culture in a workplace that was found to reduce the effect of political skill on knowledge sharing.

“The latest available cross-country data presented in the PEPPER V Report (Lowitzsch and Hashi, 2024) can be viewed by examining EFP in and of itself as an isolated subject or it can be viewed in a much wider set of contexts. Widening the lens in order to examine EFP in the context of the concentration of capital ownership and the concentration of capital income can help observers establish EFP’s span of relevance. In particular US data on capital income show that policy makers need to be aware that EFP can have an important role in narrowing the income and wealth gap for the working middle class when the concentration of capital ownership and capital income is high and when real wage growth is low.”

“Against this background, this article makes a very straightforward observation that the relevance of EFP in an economic system, in a country, and for the average employee in a country is related to the trend in the concentration of capital ownership and capital income. Interest in the idea is potentially increased or decreased by trends in real wages. Atkinson, who many consider the founder of modern wealth concentration scholarship, “focuses on the increasing share of capital incomes a source of income inequality among individuals” (Cirillo et al., 2017, p. 1). Indeed, we consider the difference between labour’s share and capital’s share to be a critically important fundamental problem of political economy. This essay asserts that when this concentration is high and real wages are flat, other things being equal, EFP may be more relevant. When the concentration of capital ownership and capital income is high, this means that ownership and income on that ownership is thinly spread in the population. When real wages are flat, this means that the rate at which fixed wages can replenish wealth is decreasing. As a result, both trends would make EFP more relevant.”

The conceptual model suggested for this article asserts that the relevance of EFP can be viewed as a function of narrowing income and wealth options for the working middle class when the concentration of capital ownership and capital income is high and when real wage growth is low. Does this relevance change across economic systems? There is no question that the future understanding of these issues requires adding metrics to the statistical methodologies of different regions and countries and adding to existing reports and analyses that focus on both the dynamics of and trends in capital income (property income in the EU) and on the EUR and USD value of EFP at the mean and at the median for different income levels of the population

This article presents – for the first time – a society-wide measure of the impact of EFP on one economy, namely, the US For further research, it makes sense to build on the comparable data available on the distribution of capital ownership and have similar research on the distribution of capital income for both the EU and the US along with measures of the EUR and USD values of EFP.

This study aims to examine the underlying process through which learning organization culture positively influences knowledge sharing. It specifically explored the mediating role of social capital, underscoring its critical impact on enhancing both knowledge sharing and fostering learning organization culture.

To test the proposed hypotheses, structural equation modeling (SEM) analysis was conducted with a sample of 231 employees from a manufacturing firm in South Korea.

The results of this study indicate significant direct effects of learning organization culture on social capital. Also, social capital indicates a positive effect on knowledge sharing. Although learning organization culture had no direct effect on knowledge sharing, it indirectly affected learning organization culture and knowledge sharing by mediating social capital.

This study proposes that a learning organization culture will be interconnected with social capital and knowledge sharing. Organizations that can effectively harness the wealth of knowledge unlocked by social capital, and subsequently integrate this knowledge into their activities, are poised for competitive advantage.

First, this study places a special emphasis on the mediating role of social capital between learning organization culture and knowledge sharing. Despite extensive research exploring diverse knowledge-sharing factors (Wang and Noe, 2010), it is plausible that examining social capital as a mediator could offer insights for facilitating knowledge sharing through its structural, relational and cognitive dimensions. Second, while a plethora of literature examines knowledge sharing, this study also seeks to unravel the multifaceted pathways through which the learning organization culture influences knowledge sharing and how these processes could be optimized in organizations.

Although marketing is essential for a firm’s survival and growth, a set of entrepreneurial strategic orientations may help it gain a competitive advantage. Entrepreneurial marketing (EM) is critical for growing businesses to succeed in today's fast-paced industry. The present study aims to measure the role of EM on the business performance (BP) of Indian startups.

For this purpose, a thorough literature review was conducted to develop a scale from the proposed conceptual framework – EMICO by Jones and Rowley (2009b). To assess the reliability and validity of the scale (62 items), the data are analyzed by employing partial least square-structural equation modeling (PLS-SEM).

The scale is empirically tested, and the results lead to discussions. The results show the positive impact of entrepreneurial orientation (EO), marketing orientation (MO), innovation orientation (IO) and customer orientation (CO) on the BP of the startups. The paper concludes by suggesting managerial and practical implications, also providing future research agenda.

Our objective is to address the existing dearth of comprehensive scales for evaluating EM by undertaking a rigorous statistical approach. Notably, our research represents the pioneering effort in adopting the EMICO framework and subsequently formulating and empirically validating a robust scale specifically tailored for nascent or small-scale startups within the Indian context.

Green knowledge management (GKM) has become a more prominent research topic because of its ability to balance business sustainability, performance and society's well-being. The purpose of this paper is to study how GKM literature evolved before and after two major events: the introduction of sustainable development goals (SDGs) and the first conceptualization of GKM. In this paper, GKM is holistically examined following the stages of the knowledge management cycle, a framework for organizational knowledge-processing phases.

This study performed a bibliometric analysis of 1,274 papers related to GKM from 1995 until January 2024.

Over the three decades, this research outlined the intertwined relationships between core themes in the domain such as knowledge management in the context of corporate social responsibilities, sustainable development (SD), competitive advantage and so on, and popular theories. GKM evolved from an “industrial and technical view” of knowledge management to a more emerging perspective of a “social process.” Emerging themes were identified such as green innovation, information security or organizational learning sub-themes with key technologies like block-chain, big data analytics and artificial intelligence. Future research can explore themes such as green knowledge integration, green entrepreneurship, green supply chain and green knowledge integration capabilities.

This review offers practitioners a holistic picture of GKM to tackle emerging environmental concerns and increase businesses' competitive advantages. This study provides insights into the future practices of GKM, incorporating emerging technological advancement, to gain green intellectual capital and build dynamic capabilities for sustainability.

To the best of authors’ knowledge, this study is the first to provide a comprehensive picture of the GKM literature, from its earliest forms of corporate social responsibility and SD until the introduction of SDGs, and in combination with the evolution of knowledge management cycle stages.

This study aims to present how an inter-organisational cooperation network can contribute to the competitive performance of higher education institutions (HEI) and also to students’ academic performance. The intention is also to examine how knowledge-sharing processes should develop to meet the needs of maintaining cooperation networks.

This study adopts a qualitative approach, using the case study (network) method. The data were collected through semi-structured interviews, group interviews and documentary analysis. The convenience sampling technique was used. Data analysis was carried out through a data triangulation process.

The general benefits arising from cooperation networks are encouraging. The HEIs improved not only through creating an environment that supports learning processes and knowledge-sharing efficiently, but also through cooperation between students and lecturers.

The cooperation network experience studied here can be used by other universities or HEIs as an approach/strategy to launch a cooperation initiative in order to increase levels of knowledge, learning, innovation and competitiveness. The results also help university or HEI leaders to understand the importance of academic cooperation networks, letting them form innovative teaching strategies that stimulate academic and competitive performance, as well as economic growth.

The central elements of originality lie in advancing a new vision of cooperation networks, creating a new, innovative framework that considers the dimensions presented from the theoretical and practical point of view. The framework helps to understand what is necessary for network cooperation to develop and create value for HEIs. Combining different perspectives of the cooperation network inevitably represents a significant innovation.

To promote the success of peer-to-peer accommodation, this study examines the effects of online host–guest interaction as well as the interaction's boundary conditions of listing price and reputation on listing popularity.

Using 330,686 data collected from Airbnb in the United States of America, the authors provide empirical evidence to answer whether social-oriented self-presentation and response rate influence listing popularity from the perspective of social exchange theory (SET). In addition, the authors investigate how these two kinds of online host–guest interactions work with listing price and reputation to influence listing popularity.

The results reveal the positive association between online host–guest interaction and listing popularity. Notably, the authors find that listing price strengthens but listing reputation weakens the positive effects of online host–guest interactions on listing popularity in peer-to-peer accommodation.

This study is the first attempt to adopt SET to explain the importance of online host–guest interactions in influencing listing popularity as well as examine the moderating role of listing price and reputation on the above relationship.

This paper analyzes knowledge-oriented leadership (KOL) and its impact on the learning achieved by the members of academic research teams. We study the influence of KOL on learning, both directly and indirectly, through the knowledge sharing that takes place within the team.

For this purpose, we conducted a survey of 477 researchers belonging to academic research teams. Through partial least squares structural equation modeling (PLS-SEM), our findings show that KOL positively affects both knowledge sharing and learning and that knowledge sharing also enhances learning.

Our results reveal the existence of a direct and indirect effect of KOL on learning, both significant and in the same positive direction, with a complementary partial mediation of knowledge sharing.

This paper contributes to the literature in that it provides evidence in the academic context of how team leader behavior can influence knowledge sharing and learning.

This is one of the fewer studies that analyzed KOL on academic research teams and the first contribution that empirically shows how the effect of KOL on learning takes place.

Social commerce (s-commerce) has gained widespread popularity as a social platform where customers engage in resource-sharing activities such as information exchange, advice-seeking and expressing their opinions on mutual interests. However, existing studies have not fully comprehended the drivers of electronic customer-to-customer interaction (eCCI) and how such behavior contributes to the customer “stick” on s-commerce sites. This study develops the Motivation–Opportunity–Ability (MOA) theory and investigates the impact of MOA factors on eCCI, which in turn affects customer stickiness.

A survey was used to acquire data from 455 valid respondents, and the research employed a combination of fuzzy-set qualitative comparative analysis (fsQCA) and structural equation modeling.

The results revealed associations between perceived self-efficacy, intrinsic motivation, tie strength with other customers, eCCI and customer stickiness.

Considering the limited availability of complete eCCI frameworks in existing scholarly works, the authors present valuable perspectives on the role of consumer characteristics as both antecedents and consequences of eCCI. Additionally, this study proposes a research agenda for the field of eCCI on s-commerce sites.