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Employee’s innovative behavior as a team allows the organization to achieve its goals; however, team green creativity requires transformational and entrepreneurial leader support. Therefore, the study explores the impact of green transformational and entrepreneurial leadership on team innovative behavior and green new product development with the mediating role of team green creativity.

A survey was conducted to collect data from 455 employees working in the hospitality industry via a self-administered questionnaire, and hypotheses were analyzed using the partial least squares structural equation modeling PLS-SEM technique using Smart-PLS 4.0.

The results indicate that green transformational and entrepreneurial leadership styles positively and significantly affect team innovative behavior and new green product development performance. Furthermore, findings show that team green creativity partially mediates the relationship between green transformational and entrepreneurial leadership on team innovative behavior, and new green product development performance.

The results of this study provide insights to hospitality professionals pursuing the improvement of team innovative behavior and new green product development performance through team green creativity and leadership styles.

This study is useful for organizations that target new green product development performance and establish higher green innovative behavior cohesively among its team members through these robust leadership styles.

This study is the first attempt to provide a valuable contribution to the growing field of green leadership styles on team innovative behavior and new green product development performance through team green creativity.

Organizations encourage green creativity among their employees to reduce environmental pollution and attain sustainable development. Green, inclusive leadership can produce positive outcomes and influence employees' green innovation. However, green inclusive leadership and green creativity are empirically less examined in the sustainability literature. Therefore, this study theorized a conceptual model based on the organizational creativity theory to explore the influence of green inclusive leadership on employees’ green creativity. It also aimed to explore the intermediating effect of green passion and green absorptive capacity on the relationship between green inclusive leadership and green creativity.

Data were gathered through a self-administered questionnaire-based survey from 540 employees of a manufacturing enterprise in China. The hypotheses were analyzed using the partial least squares structural equation modeling (PLS-SEM) technique.

The findings reveal that green inclusive leadership positively and significantly influences employees' green creativity. Moreover, the results show that green passion and green absorptive capacity play positive mediating roles in the relationship between green inclusive leadership and green creativity.

This study offers practical implications for Chinese manufacturing enterprises, where green inclusive leadership is essential to enhance green passion, green absorptive capacity and green creativity among employees.

Drawing upon the organizational creativity theory, this research study is novel because it is one of the few empirical research studies to explore green inclusive leadership and green creativity in Chinese manufacturing enterprises. It further establishes the positive mediating role of green passion and green absorptive capacity in the relationship between green inclusive leadership and green creativity.

The exploration of food tourism as a phenomenon and food tourists as consumers raises numerous ethical considerations. This chapter is about food tourism and ethics and focuses on the concepts of sustainability and slowness. It discusses the complexity of such topics using two case studies from Italy: one a plant-based café and the other the owner and manager of an agritourism business. These cases suggest that sustainability and slowness in food tourism can be interpreted and implemented differently, pointing to two important lessons. The first concerns the view of ethics in food tourism not as a limiting factor but as contributing to the needs of ethical tourists and appealing to generic tourists. The second lesson concerns the opportunity to shape food tourism by evaluating the food heritage sold to tourists and, ultimately, integrating ethical considerations that reinvent or rediscover traditions.

In today’s world, there’s a growing recognition of the importance of cultural heritage. Mobile games have emerged as a powerful medium for the dissemination of culture. However, there’s a noticeable gap in the existing research concerning the cultural experiences within games and how they contribute to the development of cultural identity. This study addresses this gap by developing a scale to evaluate cultural experiences and constructing a theoretical model of cultural identity. By focusing on the popular mobile game “王者荣耀” (King of Glory), we highlight its rich representation of intangible cultural heritage elements and its influence on players' cultural identity. By doing so, it seeks to provide valuable insights and guidance for the development and design of mobile games.

To achieve its objectives, this study employs a combination of user interviews, factor analysis and structural equation modeling. These methods are used to identify four key dimensions of cultural experience and explore the intricate relationships between various influencing factors and the formation of cultural identity.

The concept of cultural experience within games encompasses four distinct facets: emotional connection, design aesthetics, perceived playfulness and knowledge acquisition. Aesthetic appreciation notably influences emotional connection and the overall enjoyment of the game. Furthermore, emotional connection plays a pivotal role in facilitating users' acquisition of knowledge. Additionally, users' cultural heritage values positively impact emotional connection, aesthetic appreciation, emotional attachment and, ultimately, their cultural identity. Within game-based cultural experiences, emotional connection and knowledge acquisition emerge as central elements that significantly influence users' sense of cultural identity.

The originality of this study lies in its pioneering construction of a comprehensive framework for assessing the impact of cultural experiences within mobile games on cultural identity. By examining “王者荣耀,” this study bridges the gap between intangible cultural heritage and interactive digital media, making an original and significant contribution to both fields.

This study aims to investigate the determinants of the capital structure of public–private partnership (PPP) projects in China and the nonlinear relationship between them.

First, this study identifies potential factors that can influence the capital structure of PPP projects based on literature and theoretical analysis. Second, this paper collects data from PPP projects in China and empirically investigates them using multiple linear regression and machine learning methods. Finally, for machine learning model results, this paper adopts the Shapley additive explanations to interpret them.

The results show that project size, contract duration, number of sponsors, urbanization level and regional openness are key factors influencing project capital structure, and there is a nonlinear relationship between all these factors and capital structure.

Theoretically, this study complements the influencing factors of PPP project capital structure and reveals their nonlinear relationship. Practically, the findings of this study can help PPP project participants formulate project capital structure more scientifically.

Practically, the findings of this study can help project managers to recognize the important factors affecting the capital structure of PPP projects and formulate capital structure more scientifically. Moreover the results are conducive to policymakers to predict a reasonable capital structure for PPP projects and better control project risks. These research findings can also help creditors make more accurate loan decisions and promote project success to meet the needs of the general public.

Most existing literature has studied the linear relationship between influencing factors and the capital structure of PPP projects. This study uses machine learning models to explore the nonlinear relationship between influencing factors and the capital structure of PPP projects and explains the working principles.

Early termination of public–private partnerships (PPPs) in China is caused by various risk factors, resulting in significant losses. This study aimed to clarify the key factors and identify the causal relationships among these factors.

Social network analysis (SNA) was used to analyze 37 risk factors that were summarized from 97 early terminated PPP cases and to identify the relationships among these key risk factors. Interpretive structural modeling (ISM) was conducted to explore the causal relationships. Data were collected from case documents, questionnaires and interviews.

A total of 17 key risk factors were identified and distributed in a hierarchical structure with six tiers. Among these key risk factors, the root causes affecting the early termination of PPP projects were government oversight in decision-making, local government transition, policy and law changes and force majeure. The direct cause was insufficient returns. Furthermore, local government and private sector defaults were essential mediating factors. Local government transition and the low willingness of the private sector were highlighted as potential key risks.

The cases and experts were all from China, and outcomes in other countries or cultures may differ from those of this study. Therefore, further studies are required.

This research provides knowledge regarding the key risk factors leading to the early termination of PPP projects and guidance on avoiding these factors and blocking the factors' transmission in the project lifecycle.

This study contributes to the knowledge of risk management by emphasizing the importance of local government transition, the low willingness of the private sector and project cooperation and operation, whose significance is ignored in the existing literature. The proposed ISM clarifies the role of risk factors in causing early termination and explains their transmission patterns.

As lubricating oils are used, their performance deteriorates and they become contaminated. The purpose of this paper is to investigate the lubrication performance of reclaimed 5 W-30 a fully synthetic used engine oil (UEO) with wear tests after refining it from a solvent-based extraction method using solvent (1-PrOH) and adsorbent materials such as cement, celite and deep eutectic solvent (DES).

The treated oil mixtures were prepared by blending engine oils with various adsorbent materials at 5% (w/w) in organic 1-PrOH solvent at a UEO: solvent ratio of 1:2 (w/w). The measurement of kinematic viscosity, density, the total acid number (TAN) and elemental analysis of oil samples was done by the ASTM standards D445/D446, D4052, D974 and D6595, respectively. Adsorbents and treated oil samples characterized by SEM-EDX, FTIR and UV analysis, respectively. Meanwhile, lubricating performance in tribological applications was evaluated through the wear test device using a rotating steel alloy 1.2379 cylinder and a stationary 1.2738 pin under 20, 40 and 80 kg load conditions. Worn surface analysis was done with SEM and 2.5D images.

It was found that when using the combination of cement and celite as an adsorbent in the reclamation of used engine oil demonstrated better lubricant properties. The properties of used engine oil were improved in the manner of kinematic viscosity of 32.55 from 68.49 mm²/s, VI (Viscosity index) value of 154 from 130, TAN of 3.18 from 4.35 (mgKOH/g) and Fe content of 11 from 32 mg/L. The anti-wear properties of used engine oil improved by at least 32% when 5% cement and 5% celite adsorbent materials were used together.

The paper is based on findings from a fully synthetic 5 W-30 A5 multi-grade engine lubrication oil collected after driving approximately 12.000 km.

The results are significant, as they suggest practical regeneration of used engine oil is achievable. Additionally, blending fresh oil with reclaimed used engine oil in a 1:1 ratio reduced wear loss by over 10% compared to fresh oil.

Reusing used engine oils can reduce their environmental impact and bring economic benefits.

This study showed that the properties of UEO can be enhanced using the solvent extraction-adsorption method. Furthermore, the study provided valuable insights into the metal concentrations in engine oil samples and their impact on lubrication performance. The order of the number of the grooves quantity and the possibility of the observed scuffing region trend relative to the samples was UEO > 5W-30 fresh oil > Treated oil sample with the adsorbent cement and celite together.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0209/

This study aims to investigate the influence of the reviewed establishment’s price level and the user’s social network size and reputation status on consumers’ tendency to post more visual imagery content. Furthermore, it explores the moderating effects of user experiences and geographic distance on these dynamics.

This study adopts a multi-method approach to explore both the determinants behind the sharing of user-generated photos in online reviews and their internal mechanisms. Using a comprehensive secondary data set from Yelp.com, the authors focused on restaurant reviews from a prominent tourist destination to construct econometric models incorporating time-fixed effects. To enhance the robustness of the authors’ findings, the authors complemented the big data analysis with a series of controlled experiments.

The reviewed establishments price level and the users reputation status and social network size incite corresponding motivations conspicuous display “reputation seeking” and social approval motivating users to incorporate more images in reviews. “User experiences can amplify the influence of these factors on image sharing.” An increase in the users geographical distance lessens the impact of the price level on image sharing, but it heightens the influence of the users reputation and social network size on the number of shared images.

As a result of this study, high-end establishments can increase their online visibility by leveraging user-generated visual content. A structured rewards program could significantly boost engagement by incentivizing photo sharing, particularly among users with elite status and extensive social networks. Additionally, online review platforms can enhance users’ experiences and foster more dynamic interactions by developing personalized features that encourage visual content production.

This research, anchored in trait activation theory, offers an innovative examination of the determinants of photo-posting behavior in online reviews by enriching the understanding of how the intricate interplay between users’ characteristics and situational cues can shape online review practices.

Recent graduates are an important source of talent among hired employees as they bring up-to-date knowledge into the organisation. Yet, organisations have difficulties retaining them and recognizing factors influencing their voluntary turnover, which may differ from those influencing voluntary turnover among tenured employees. For example, graduate employees need to adjust to a completely new context and develop their identity as professionals. Therefore, the current study presents a review of the factors influencing newcomers’ voluntary turnover and turnover intentions.

To explore the factors influencing the turnover intentions and behaviour of recently hired employees, we conducted a literature review of 57 articles from several databases for different disciplines.

Our review identifies factors that influence turnover intentions and behaviour among recently hired employees and presents them in a model. The model identifies five categories of factors influencing turnover intentions and behaviour: pre-joining expectations, person-environment fit, the role of the supervisor, human resource (HR) practices and person-related factors.

The model enhances the understanding of why new employees leave an organisation and shows how supervisors and HR practices play an important role in reducing voluntary turnover among newly hired employees. The article concludes with practical suggestions on how to retain these employees.

While employee turnover has been studied extensively, this review focuses specifically on factors that influence the turnover intentions and behaviour of newcomers. We present these factors in a model that can be used to inform managerial practices to reduce turnover among newcomers.

This paper aims to investigate the effect of laser energy density on the fretting wear properties of TC4 alloys prepared by selective laser melting to enhance their service life.

The friction test used a ball-to-plane contact structure and simulated the actual working conditions by applying a linear reciprocating motion. In the experiments, the authors prepared TC4 alloys using different laser energy densities and performed fretting wear tests with D = 100 µm on a friction machine, as well as comparative analyses with conventional cast TC4 materials. 3D optical microscope, scanning electron microscopy and energy spectrum x-ray spectrometer were used to analyze the surface morphology and elemental content of the samples.

The results indicate that the friction coefficient and wear volume of selective laser melting (SLM)-TC4 are lower than those of cast TC4, demonstrating superior wear resistance. As the laser energy density increases, the grain size of the SLM-TC4 samples gradually coarsens, leading to an initial improvement followed by a decline in friction coefficient and wear resistance. Among the samples, ET3 (42 J/mm³) exhibits the lowest friction coefficient and wear volume, with the friction coefficient ranging from 0.67 to 0.7 and the wear volume being only 9.92% of that of cast TC4.

The main contribution of this work is to provide a new reference for improving the wear resistance of TC4 prepared by selective laser melting. By studying the effect of different laser energy densities on the wear resistance of TC4, it provides a theoretical basis for the preparation of SLM-TC4 alloys for industrial applications.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2024-0414/