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Financial literacy is crucial in explaining a broader set of investment behaviors. This paper investigates what financial literacy, wine knowledge, risk propensity and wine purchase behavior have in common.

The analysis is on a questionnaire distributed online to an equal number of young adults from a traditional wine-producing and consuming country (France) and a country less linked to wine by tradition (the UK).

The analysis shows how financial literacy, financial education and financial risk attitudes impact the attitudes toward wine purchase decisions. Results indicate that participants prefer to drink wine for pleasure rather than for potential financial gain. Significant relationships exist between financial literacy, wine consumption frequency and willingness to store and pay for wine.

These results allow for a better understanding of wine purchasing behavior in light of willingness to pay, invest and store.

• (1)

  Financial literacy has a positive role in influencing wine storage and investments.

• (2)

  Culture shapes the impact of financial literacy, habits and risk on wine investments.

• (3)

  Gender and age have a role in influencing wine investments.

Financial literacy has a positive role in influencing wine storage and investments.

Culture shapes the impact of financial literacy, habits and risk on wine investments.

Gender and age have a role in influencing wine investments.

Consumers nowadays are no longer bystanders in the process of production but are proactive collaborators with the power to co-create value with brands. This study aims to explore the impact of social commerce on the co-creation process of brand value in a social commerce setting.

A questionnaire survey was conducted online to gather 300 eligible responses. The data were empirically validated using the partial least squares structural equation modelling (PLS-SEM) method.

The results indicated that brand engagement (BEN) is vital to brand co-creation (BCC) in social commerce, which could be driven by social-hedonic value (SHV) and social information sharing (SIS).

This study stresses the influence of consumer autonomy in the process of BCC by probing the role of SIS. Moreover, by considering the prevailing trend in social media, this study offers a nuanced perspective on the values of social commerce from the viewpoint of SHV.

This study may serve as a useful guide for practitioners to improve their digital outreach strategy on social commerce to forge stronger relationships, encourage further engagements and promote value co-creation within their brand community.

This examines the effect of relationship quality (RQU) and BEN on BCC through a relational viewpoint.

Prior work has shown that the board of directors can alleviate market imperfections that lead to capital investment inefficiency. The authors extend previous work by exploring how board characteristics influence the efficiency of human capital investment, a critical production factor that has remained insufficiently examined. Specifically, this study aims to investigate how board activity, size, the presence of a separate chairman, female directors and board independence affect firm labour investment efficiency in the European context.

The sample contains 4,331 firm-year observations traded on the STOXX® Europe 600 index from 2009 through 2022. This paper applies a lagged ordinary least squares (OLS) regression to test the proposed hypotheses. It also uses a dynamic panel generalised method of moments (GMM) regression to tackle potential endogeneity concerns.

The results show that board gender diversity and the level of independent directors are positively linked to labour investment efficiency, whereas board size and meeting frequency are negatively related to labour investment efficiency. Meanwhile, the presence of a separate chairman on the board does not appear to be significantly associated with labour investment efficiency. In additional subgroup analyses, the authors find that board gender diversity mitigates managers’ inclinations towards both overinvestment and underinvestment in labour. The authors also find that the level of independent directors helps greatly in reducing the underinvestment in labour, while it fails to attenuate the overinvestment in labour. Moreover, the authors find board size to be significantly associated with the tendency to make suboptimal labour decisions, manifesting as both overinvestment and underinvestment in labour. Finally, the results show that board meetings are significantly associated with overinvestment problems, while underinvestment problems seem to be unrelated to meeting frequency.

The empirical results have implications for policymakers and market participants in Europe. Firstly, firms may improve the efficiency of their labour investments by increasing directors’ independence and adding more female voices to corporate boards. Secondly, the evidence shows that some board attributes, such as board activity and size, do not necessarily have a beneficial impact on corporate decisions, particularly labour investment decisions. Finally, market participants are likely to benefit from this paper by understanding the role of board attributes in promoting the efficient allocation of firm resources.

This paper makes two significant contributions. Firstly, it extends the literature on the role of boards of directors in shaping corporate decision-making processes, particularly concerning human capital investment decisions within European firms. By doing so, the authors provide new evidence confirming that certain board attributes, such as board size, director independence and board gender diversity, are important for optimising firms’ resource allocation. Secondly, although numerous studies investigate boards’ role in capital investment decisions, relatively few empirical studies exist on the role of boards in labour investment decisions. This paper, therefore, tries to tackle this void in the literature by investigating firms’ decision-making concerning labour investments.

Based on the job-demands resources (JD-R) model and the self-determination theory (SDT), this paper aims to explore team empowerment (TEMP) as a mediating mechanism through which team climate (TC) marked by innovativeness, cohesion and trust and knowledge management (KM) in teams.

Using a convenience sampling method, data were gathered from 246 employees of Tunisian knowledge-intensive firms (KIFs) and involved within 69 R&D teams. The partial least square-structural equation modeling approach through SMART PLS 3.2 software was used to evaluate the constructs’ psychometric properties and hypotheses. The mediating effect in the model was evaluated through the non-parametric bootstrapping method.

Results highlight that TC marked by innovativeness, cohesion and trust represents a key team contextual antecedent promoting TEMP and KM in teams. In turn, TEMP, as a critical intrinsic task motivation factor, is revealed as a driver of KM practices. This research demonstrates that TEMP partially mediates the relationship between TC and KM in teams.

This study pioneers the examination of TEMP’s mediating role between a TC marked by innovativeness, trust and cohesion and KM. By applying insights from the JD-R model and SDT to team-level dynamics, it uniquely positions TEMP as an intrinsic motivational factor explaining the mechanism through which the contextual resources provided by a supportive TC promote KM practices. It provides practical insights for KIFs’ managers through highlighting how intrinsically motivated teams of knowledge workers, empowered by a cohesive, innovative and trust-based TC, can effectively navigate the challenges inherent in knowledge-intensive teamwork, leading to enhanced KM practices.

This research aims to examine the link between distributed leadership and team ambidexterity and the sequential mediation of team climate innovation and knowledge management in this relationship.

This study draws on a sample of 546 knowledge workers involved within 157 service research and development (R&D) teams of knowledge-intensive firms (KIFs) and uses partial least squares-structural equation modelling (PLS-SEM) through SMART PLS 4 to analyse the data collected.

Findings reveal that distributed leadership has a significant direct impact on team ambidexterity. Besides, they indicate that team climate innovation and knowledge management in teams mediate this link. Results also highlight the sequential mediation of team climate innovation and knowledge management in teams, linking distributed leadership to team ambidexterity.

This study explores the relationship between distributed leadership and ambidexterity at the team level and proposes a sequential mediation model linking these variables through team climate innovation and knowledge management in teams. It offers practical insights for KIFs’ managers on the importance of using a distributed leadership approach and building a team climate innovation to motivate R&D teams, encourage dynamic participation in knowledge management practices and cultivate both exploitative and exploratory learning activities.

This research assesses the present condition of Circular Economy (CE) practices in green hotels situated in two leading Middle Eastern nations, Saudi Arabia and Egypt. Furthermore, it investigates the crucial impact of Industry 4.0 innovations in facilitating the relationship between the adoption of CE initiatives and hotel performance (HP).

Data from 59 green hotels in Saudi Arabia and 76 in Egypt were collected online, resulting in 400 complete forms, providing a diverse sample size suitable for PLS-SEM analysis using JASP software as a leading machine learning application.

The results demonstrate a notable correlation between CE strategies, including redesign, production, reuse and recovery in hotels and HP. Additionally, the impact of Industry 4.0 performance on the relationship between CE and HP is facilitated by four distinct CE loops.

This study offers practical insights into implementing CE practices in the hotel industry, aiding policymakers and establishments in enhancing sustainability and performance. Key stakeholders can use these findings to develop strategies that integrate CE initiatives, improve operational outcomes and align marketing efforts with sustainable practices.

This study is groundbreaking in its exploration of the relationship between CE and the transition to Industry 4.0 in the MENA region, analyzing the specific CE practices that contribute to high HP. The tested model expands on the Natural Resource-Based View and stakeholder theory by incorporating the critical role of Industry 4.0 innovations in the CE–HP nexus.

The present study investigates a nexus between digital public services (DPS) and international tourism empirically.

This article analyzes the nexus of DPS and international tourism by using the international sample of 23 European countries in the span of nearly 10 years from 2011 to 2019. Various econometric techniques, including the panel-corrected standard error (PCSE) model and the feasible generalized least squares (FGLS) model, are employed to confirm the author’s findings. Furthermore, the autoregressive distributed lag (ARDL) method is applied to measure the short- and long-run effects of DPS on international tourism developments.

Tourism is positively influenced by digitalization, implying that the enhancement of digital public service usage results in the development of the tourism industry. However, when looking at the effect of DPS in the short term, a negative impact can be found on tourism, as the density reported in the previous analysis stated a negative response to the tourism density. This effect spans the course of several facets, such as international tourism arrivals, international tourism receipt, international tourism, receipts (% of total exports) and global tourism expenditure (% of total imports). Although the result is unfavorable in the short term, digitalization promises great prospects for tourism in the long term. Notably, an improvement in economic growth, financial development as well a reduction in the pervasiveness of corruption and an improvement of environmental quality are transmission channels through which DPS have favorable influences on tourism activities.

The author’s findings are vital for managers and policymakers to establish a comprehensive grasp of digitalization's role in deciding tourist adoption. This is because digitalization has been proven to play a role in determining tourism adoption.

The present study is the first to examine the relationship between DPS and international tourism empirically. The author is also the first to distinguish the effects of digitalization in the short and long run.

The purpose of this study is to examine the readability and length of CEO letters in the corporate social responsibility (CSR) reports of the US firms included in the North America DJSI Eligible Universe.

Data analysis is based on regression models.

Firms with a reputation for CSR leadership (those in the Dow Jones Sustainability Index [DJSI firms]) present larger CEO letters, but within these firms, those with lower financial performance stand out for presenting even lengthier narratives. Only firms with reputation for leadership in CSR enjoying high financial performance present more readable CEO letters when compared to firms lacking such reputation.

This study contributes to the literature by proposing a multi-signal approach to the study of CSR reporting and emphasizing the importance of looking at institutional endorsements of CSR performance and financial performance interconnectedly.

This study can help managers and organizations become aware of the various forces that could drive the need for CSR communication and help them to be responsive to stakeholder audiences by communicating information about the organization’s socially responsible strategies and activities.

This study’s theoretical argument and findings suggest the corporate stakeholders and policymakers should examine differently CSR reports from firms with and without institutionally endorsed CSR performance while also considering their levels of financial performance.

This study uniquely takes a multi-signal lens of analysis to examine the associations between textual characteristics of CSR narratives and CSR performance and financial performance.

The purpose of this paper is to examine how digital literacy influences knowledge sharing and academic performance among graduate students in online learning environments.

Structural equation modeling via AMOS was utilized to test the research hypotheses in this cross-sectional study. Students’ digital literacy, their knowledge sharing, and their academic performance in online learning environments were surveyed by questionnaires. The sample of 330 graduate students was selected from a leading public university in Iran. Based on a stratified sampling approach, the recruited students answered questionnaires based on their degree level and field of study.

The results demonstrated that digital literacy was a positive and significant predictor of knowledge sharing and students' academic performance. Furthermore, the study revealed that knowledge sharing mediates the relationship between digital literacy and academic performance.

Our findings revealed that digital literacy positively and significantly predicts knowledge sharing and academic performance. This may be attributed to the fact that digital literacy is essential for developing digital learning in higher education. Conducting research on the antecedents and consequences of digital literacy in academic environments may prove attractive to future researchers.

Research on the influence of digital literacy on students’ knowledge sharing and academic performance in online learning environments is scarce. This study suggests that improving students’ digital literacy and knowledge sharing can enhance their performance in online learning environments, and it is a recommendation for university educators and educational technologists. Gaining insight into the influence of digital literacy on how students share knowledge and their academic achievements in virtual learning environments can have numerous managerial ramifications for administrators and instructors in higher education.

Lean construction (LC) consists of very effective techniques; however, its implementation varies considerably from one industry to another. Although numerous lean initiatives do exist in the construction industry, the research topic related to LC implementation is still unexplored due to the scarcity of validated assessment frameworks. This study aims to provide the first attempt in developing a structural model for successful LC implementation.

This study developed a Lean construction model (LCM) by critically reviewing seven previous LC frameworks from different countries, defining 18 subprinciples grouped into 6 major principles and formulating testable hypotheses. The questionnaire was pre-tested with 12 construction management experts and revised by 4 specialized academics. A pilot study with 20 construction units enhanced content reliability. Data from 307 Moroccan construction companies were collected to develop a measurement model. SPSS V. 26 was used for Exploratory Factor Analysis, followed by confirmatory factor analysis using AMOS version 23. Finally, a structural equation model statistically assessed each construct's contribution to the success of LC implementation.

This work led to the development of an original LCM based on valid and reliable LC constructs, consisting of 18 measurement items grouped into 6 LC principles: Process Transparency, People involvement, Waste elimination, Planning and Continuous improvement, Client Focus and Material/information flow and pull. According to the structural model, LC implementation success is positively influenced by Planning and Scheduling/continuous improvement (β = 0.930), followed by Elimination of waste (β = 0.896). Process transparency ranks third (β = 0.858). The study demonstrates that all these factors are mutually complementary, highlighting a positive relationship between LC implementation success and the holistic application of all LC principles.

To the best of the authors’ knowledge, this study is the first attempt to develop a statistically proven model of LC based on structural equation modelling analysis, which is promising for stimulating construction practitioners and researchers for more empirical studies in different countries to obtain a more accurate reflection of LC implementation. Moreover, the paper proposes recommendations to help policymakers, academics and practitioners anticipate the key success drivers for more successful LC implementation.