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Understanding employee knowledge hiding behavior can serve organizations in better implementing knowledge management practices. The purpose of this study is to investigate how personality and work climate influence knowledge hiding, by examining the respective roles of openness to experience and relational (specifically, communal sharing and market pricing) climates.

Multilevel modeling was used with two distinct samples, one from Vietnam with 119 employees in 20 teams and one from The Netherlands with 136 employees in 32 teams.

In both samples, the hypothesized direct relationship between openness and knowledge hiding was not found. In the Vietnamese sample, only the moderating effect of market pricing climate was confirmed; in the Dutch sample, only the moderating effect of communal sharing climate was confirmed. The findings of the Vietnamese sample suggest that people with a high sense of openness to experience hide knowledge less under low market pricing climate. In the Dutch sample, people with high openness to experience hide knowledge less under high communal sharing climate. The authors conclude that, in comparison with personality, climate plays a stronger role in predicting knowledge hiding behavior.

Small sample size and self-reported data might limit the generalizability of this study’s results.

The paper highlights how organizational context (relational climate) needs to be taken into account in predicting how personality (openness to experience) affects knowledge hiding.

This paper contributes to a better understanding of the knowledge hiding construct by extending the set of known antecedents and exploring the organizational context in which such phenomena happen.

This study aims to analyze the value-based health-care model in defining a strategy to guide the evolution of health-care organizations toward a value-oriented model. To improve the quality of care by ensuring economic sustainability, it is necessary to redefine the concept of competition in healthcare and align it with the concept of maximizing value for patients.

Performance measurement is a crucial aspect of the analysis of health-care organizations. Porter developed an effective analytical technique and presented the measurement of health-care outcomes based on health conditions, the efficiency of health-care organizations and the type of service provided.

Clinical outcomes and data on the costs of care of each patient are essential to evaluate improvement in treatment value over time. Engaging in the evaluation of what happens to patients in their course of care enables the expansion of the measurement of outcomes because it measures all the health services related to it.

Building a health-care system based on the value and continuous improvement of care and services provided is a goal shared by many countries and international organizations. Today, the analysis of outcomes is important for making informed decisions, directing and planning clinical and organizational changes by improving the quality of care and services.

The study employs two independent experimental studies to collect data. It focuses on the matching effect between advertising appeals and product types. The Elaboration Likelihood Model serves as the theoretical framework for understanding the cognitive processing involved in consumers' responses to these advertising appeals and product combinations.

This paper aims to investigate the impact of advertising appeals on consumers' intentions to purchase organic food. We explored the interaction between advertising appeals (egoistic vs altruistic) and product types (virtue vs vice) and purchase intention. The goal is to provide insights that can enhance the advertising effectiveness of organic food manufacturers and retailers.

The analysis reveals significant effects on consumers' purchase intentions based on the matching of advertising appeals with product types. Specifically, when egoistic appeals align with virtuous products, there is an improvement in consumers' purchase intentions. When altruistic appeals match vice products, a positive impact on purchase intention is observed. The results suggest that the matching of advertising appeals with product types enhances processing fluency, contributing to increased purchase intention.

This research contributes to the field by providing nuanced insights into the interplay between advertising appeals and product types within the context of organic food. The findings highlight the importance of considering the synergy between egoistic appeals and virtuous products, as well as altruistic appeals and vice products. This understanding can be strategically employed by organic food manufacturers and retailers to optimize their advertising strategies, thereby improving their overall effectiveness in influencing consumers' purchase intentions.

This research aims to better understand the factors and determinants that shape the job satisfaction of European family business owners.

The study is based on a unique sample of 11,362 European family business owners surveyed within the European Union Labour Force Survey (EU LFS) framework, and the main findings were obtained by estimating ordered logistic regression models.

The authors show that only 26.8% of European family business owners are women, which underlines the gender imbalance in family business ownership, and the authors' results also report that their job satisfaction is significantly lower compared to males. The authors also find the highest job satisfaction amongst family business owners with master-level degrees and point out several interesting statistically significant differences across the industry focus of the family business.

This research contributes to the body of knowledge on the job satisfaction of family business owners by conducting a large-scale study based on a statistically representative sample of European respondents.

This study aims to examine the micromechanisms of how knowledge culture fosters human capital development.

An empirical model was developed by using the structural equation modeling method based on a sample of 321 Polish knowledge workers employed in different industries.

This study provides direct empirical evidence that tacit knowledge sharing supports human capital, whereas tacit knowledge hiding does not, and this hiding is considered a waste of knowledge. If tacit knowledge does not circulate within an organization, it is a severe waste of an organization. The findings indicate that shame from making mistakes might impede the sharing of knowledge gained from making those mistakes, and in such cases, the knowledge remains hidden.

Leaders aiming to ensure human capital growth should implement an authentic learning culture composed of a learning climate and mistakes acceptance components that enable open discussion about mistakes on each organizational level.

The knowledge culture is found to be an essential element of building human capital but, at the same time, not sufficient without a learning culture, and its mistakes acceptance component. A permanent organizational learning mode that supports a continuous organizational shared mental model reframing is an antidote to tacit knowledge hiding.

The main aim of this research was to investigate whether and how digitalization affects sustainability and performance in wine tourism.

Based on the data emerging from the 2019 National Report on Wine Tourism from the National Association of “Wine Cities” in Italy (the most extreme case in the world of wine), three macro-agglomerates were investigated: digitalization, sustainability and performance, adopting descriptive and inferential statistics.

Although rigorous correlation between adopted digitalization and performed sustainability on one side and performed sustainability and market performance on the other cannot be verified for the 92 wineries under investigation, there is visible evidence that the more digitalized wineries are, the more sustainable they become and the better their performance. Evidence was not found to support the idea that the more sustainable wineries are, the more they are digitalized and the better their performance. Research implications and limitations to theoretical and practical application have been discussed.

Wine tourism, which is naturally associated with rural tourism, is a form of tourism in which sustainability has strong relevance, particularly considering the future needs/desires of post-pandemic tourists. At the same time, digitalization, especially in pandemic and post-pandemic tourism, is credited with developing a huge impact in this business, although wine tourism is most probably conceivable as a meta-market, with a strong cultural essence. In this respect, a digitalization > sustainability > performance approach seems practicable and globally profitable.

In this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.

Using the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.

The results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.

The study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.

This research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.

This study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.

The purpose of this article is to better understand the relevance of value creation in the interconnection amongst entrepreneurship, marketing and innovation by reviewing the literature.

The authors employed a systematic review methodology using the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol to analyse the literature in depth. The articles were selected from the Scopus database and dated from 1987 to 2021. An initial total of 1,158 articles was successively narrowed down to a final list of 123 papers matching the selection criteria. Moreover, content analysis on the sample was performed to explore and analyse whether value creation directly or indirectly appears as a goal or antecedent amongst entrepreneurship, marketing and innovation.

The findings suggest that the literature does not clearly define the topic linkage, and with the authors' results, the authors provide a comprehensive mapping of the contributions to a theoretical framework that synthesises knowledge. Moreover, the authors highlight that the interconnection between marketing and entrepreneurship, i.e. entrepreneurial marketing, requires an innovative approach for satisfying customer needs and creating value. Co-occurrence analysis of the keywords also allowed to identify four clusters that were open to new research streams.

Entrepreneurship, marketing and innovation are recognised research topics in the business and management literature. However, prior research has not provided clear and comprehensive evidence about how these three research topics are linked to each other. This work analyses the hidden relationship amongst them.

Food and beverage (F&B) small and medium-sized enterprises (SMEs) must diversify their markets and obtain predictable sources of revenues to withstand difficult and volatile periods such as the post-pandemic geopolitical scenario, recently burdened by the Russian-Ukrainian conflict. On the other hand, another strand of the literature suggests that public procurement could be considered a great source of income, enabling solid contracts, revenues and cash-flow stability. Therefore, this paper aims to explore the role of public procurement, the adoption of e-commerce platforms and their interactions in affecting the exporting performances of SMEs operating in the F&B sector.

The study retrieves data from 2,186 Italian F&B manufacturing SMEs relying on Margò by Cribis database. Therefore, it conducts a structured equational model (SEM) to test the developed hypotheses empirically.

The findings reveal that digital selling platforms positively affect exports, whereas public procurement negatively affects F&B SMEs exports. Nonetheless, findings underline that the interaction between public procurement and the adoption of digital selling platforms dampens public procurement's negative effects on exports.

This study brings an original contribution to the F&B literature by conducting empirical research on an extensive sample of firms from one of the most influential countries in the F&B vertical, Italy, with officially registered data. More importantly, to the best of the authors' knowledge, this study pioneers the investigation of the relationship between public procurement and e-commerce platforms in affecting F&B SMEs' export performances.

Artificial Intelligence (AI) is a growing technology impacting several business fields. The agricultural sector is facing several challenges, which may be supported by the use of such a new advanced technology. The aim of the paper is to map the state-of-the-art of AI applications in agriculture, their advantages, barriers, implications and the ability to lead to new business models, depicting a future research agenda.

A structured literature review has been conducted, and 37 contributions have been analyzed and coded using a detailed research framework.

Findings underline the multiple uses and advantages of AI in agriculture and the potential impacts for farmers and entrepreneurs, even from a sustainability perspective. Several applications and algorithms are being developed and tested, but many barriers arise, starting from the lack of understanding by farmers and the need for global investments. A collaboration between scholars and practitioners is advocated to share best practices and lead to practical solutions and policies. The promising topic of new business models is still under-investigated and deserves more attention from scholars and practitioners.

The paper reports the state-of-the-art of AI in agriculture and its impact on the development of new business models. Several new research avenues have been identified.