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The paper proposes a two-level closed-loop supply chain (CLSC) dynamic competitive model based on different competitive cooperation situations, and explores the impact of competitive cooperation methods on the pricing strategies, recycling and remanufacturing strategies and competitive model selection strategies of supply chain firms.

This paper establishes a CLSC game consisting of a manufacturer and two retailers. Firstly, five CLSC models are established in both horizontal and vertical dimensions, each of which competes with one another. Secondly, the recycling and remanufacturing pricing strategies are analyzed under different competition or cooperation models. Finally, the results are verified through numerical analysis.

The overall profitability of the CLSC is highest when the manufacturer–retailer partnership alliance is in place. The relationship between retailers and manufacturers is also found to be the best way to achieve overall optimization of the CLSC.

The paper investigates the relationship between the competitive partnership and the total profit of the CLSC, taking into account how to optimize the overall benefit, and focusing on how to optimize the individual interests of each participating enterprise. The results can provide basis and guidance for managers' pricing decision and competition cooperation.

The rise of interactive fitness games in the post-epidemic era has resulted in the need to establish a quality evaluation index system. This study aims to develop such a system and provide a reference for enhancing the quality of interactive fitness games.

To achieve this, interviews and questionnaires were conducted to identify the factors that influence the quality of interactive fitness games. The Kano model and SII (Satisfaction Increment Index)-Dissatisfaction Decrement Index (DDI) two-dimensional quadrant analysis were then used to explore differences in quality judgment between males and females, as well as their priorities for improving interactive fitness games.

The study revealed that males and females have different quality judgments for “rich and diverse content,” “motivational value,” “sensitive motion recognition detection” and “portability.” However, both genders share similar views on the other quality factors. In addition, the study identified differences in the priority of improvement between men and women. “Very interesting,” “effective fitness achievement,” “motivating fitness maintenance,” “sensitive motion recognition detection,” “portability” and “educational value” were found to be of higher priority for men than women.

These findings provide a valuable theoretical reference for developers and designers of interactive fitness games seeking to enhance the user experience.

Drawing from resource orchestration theory, this research proposed an integrative model that leverages insights into counter resource constraints and uncertainty in start-up business model innovation (BMI). It investigated the influences of entrepreneurial networks and effectuation on BMI through bricolage in uncertain environments.

The research surveyed 481 start-ups in China. LISREL 8.80 and SPSS 22.0 were employed to test the validity and reliability of key variables, respectively. Additionally, hypotheses were examined through multiple linear regression.

First, entrepreneurial networks and effectuation were positively related to BMI, and combining these two factors improved BMI for start-ups. Second, bricolage contributed to BMI and played mediating roles in translating entrepreneurial networks and effectuation into BMI. Third, environmental uncertainty weakened the linkage between bricolage and BMI.

Future research should replicate the results in other countries because only start-ups in China were investigated in the study, and it is necessary to extend this research by gathering longitudinal data. This research emphasized the mediating effects of bricolage and the moderating influence of environmental uncertainty, and new potential mediating and moderating factors should be explored between resources and BMI.

There are three significant theoretical contributions. First, the findings enrich the literature on the complex antecedents of BMI by combining the impacts of entrepreneurial networks and effectuation. Second, an overarching framework is proposed explaining how bricolage (resource management) links entrepreneurial networks and effectuation and BMI. Third, it demonstrates the significance of environmental uncertainty in the bricolage–BMI linkage, deepening the understanding of the bricolage boundary condition.

Weather and climate have a strong impact on tourism. However, because meteorological forecast information is considered a public good, people often overlook its market value. This study uses the contingent valuation method (CVM) to evaluate the economic value of a stargazing forecast system and assessed whether such a system would increase the public's willingness to stargaze. The results demonstrate that the economic value of the proposed stargazing forecast system is NT$ 0.2–2.5 billion, and the total value was 0.27–3.5 billion when protest responses are excluded. In addition, a stargazing forecast system could increase the public's willingness to engage in stargazing, indicating that both the system and meteorological information have a tremendous nonmarket value. Accordingly, this study suggests that the government could develop a stargazing forecast system and partner with famous stargazing destinations to popularize stargazing to propel the growth of the tourism industry.

Through empirical research, this study aims to explore the role of competition and cooperation in coupling open innovation (OI).

In this study, the hierarchical regression analysis method was used to test each hypothesis.

Cooperation has an inverted U-shaped moderating effect between coupling OI and innovation performance. Competition negatively moderates the relationship between inbound-oriented coupling OI and innovation performance, and has an inverted U-shaped moderating effect between outbound-oriented coupling OI and innovation performance. When competition and cooperation coexist, competition will passivate the moderating effect of cooperation between inbound-oriented coupling OI and innovation performance, and sharpen the moderating effect of cooperation between outbound-oriented coupling OI and innovation performance.

The role of competition and cooperation on different types of coupled innovation is studied for the first time. This research greatly enriches the theory of the effect of innovation network on innovation performance.

In the dynamic landscape of 2023, global challenges are amplified by escalating conflicts and the COVID-19 aftermath. Developing nations like Vietnam face a critical juncture, requiring diversified economies for enhanced livelihoods and poverty reduction. However, this growth necessitates increased energy consumption, potentially escalating carbon emissions. Green innovation (GI) emerges as a beacon of hope, offering products and services designed for a minimal carbon footprint. Beyond socio-economic advancement, GI aligns with sustainable development goals. This study aims to  examine the influence of knowledge management (KM) and digitalization (DG) on GI, particularly in sustainable competitive advantage.

Using structural equation modeling and drawing upon a survey administered to 301 Vietnamese enterprises.

The findings illuminate diverse underpinnings between green product and process innovation, unravel the intricate relationship between KM, DG and GI, and provide crucial insights for firms seeking sustainable competitive edges.

This multidimensional approach significantly enriches the understanding of these pivotal elements in contemporary business landscapes.

This research aims to enhance understanding of outsourcing dynamics from emerging markets by employing a bibliometric analysis of relevant scholarly articles. The study explores publication patterns, citation networks, author collaborations and contributions by different countries, offering insights for researchers and practitioners investigating outsourcing in these markets.

A comprehensive bibliometric analysis was conducted using 197 articles from the SCOPUS database, spanning January 1999 to June 2023. Established bibliometric techniques were utilized to analyze publication patterns, citation networks, author collaborations and country contributions, identifying key research themes and influential authors and institutions.

The study identified eight distinct research clusters, highlighting interdisciplinary collaborations, influential authors like Thomas Frisanco and Erdener Kaynak, and significant contributions from the United States and the UK. Notable organizational collaborations include the Hong Kong Polytechnic University and the University of Miami. These findings provide valuable insights into outsourcing practices and research trends in emerging markets.

The study acknowledges limitations such as sampling bias, language bias and publication bias, which may affect the generalizability of the findings. Future research should strive for more diverse and representative samples, including non-English publications and studies with non-significant results, to provide a more comprehensive understanding of outsourcing dynamics.

The findings offer practical insights for organizations considering outsourcing from emerging markets, guiding strategic decision-making and policy development. Understanding publication patterns and research themes can help organizations navigate location selection, vendor management, risk mitigation and performance evaluation in these markets.

Outsourcing can significantly impact employment, income generation, skill development and overall economic development in emerging markets. Policymakers can use these insights to foster business growth, infrastructure development and investment incentives, contributing to economic growth and employment opportunities.

This study provides a comprehensive bibliometric analysis of outsourcing from emerging markets, filling a gap in the existing literature. The insights gained can guide future research, inform strategic decision-making and enhance the understanding of outsourcing dynamics in these rapidly evolving markets.

The purpose of this study is to prepare a state-of-the-art review on advanced ceramic materials including their fabrication techniques, characteristics, applications and wettability.

This review paper presents the various types of advanced ceramic materials according to their compounding elements, fabrication techniques of advanced ceramic powders as well as their consolidation, their characteristics, applications and wetting properties. Hydrophobic/hydrophilic properties of advanced ceramic materials are described in the paper with their state-of-the-art application areas. Optical properties of fine ceramics with their intrinsic characteristics are also presented within. Special focus is given to the brief description of application-based manipulation of wetting properties of advanced ceramics in the paper.

The study of wetting/hydrophobicity/hydrophilicity of ceramic materials is important by which it can be further modified to achieve the required applications. It also makes some sense that the material should be tested for its wetting properties when it is going to be used in some important applications like biomedical and dental. Also, these advanced ceramics are now often used in the fabrication of filters and membranes to purify liquid/water so the study of wetting characteristics of these materials becomes essential. The optical properties of advanced ceramics are equally making them suitable for many state-of-the-art applications. Dental, medical, imaging and electronics are the few sectors that use advanced ceramics for their optical properties.

This review paper includes various advanced ceramic materials according to their compounding elements, different fabrication techniques of powders and their consolidation, their characteristics, various application area and hydrophobic/hydrophilic properties.

This study aims to provide empirical insights pertaining to the impact of trait emotional intelligence on the mental well-being of students in higher education institutions (HEIs) in India.

In the current study, responses from a total of 252 students were randomly taken from different universities of Uttarakhand (India). The analysis was done using structural equation modelling AMOS 23.

The current study empirically established the positive impact of trait emotional intelligence (TEI) on the mental well-being of students and highlighted the relevance of TEI in curbing the psychological distress in students of HEIs.

This study endeavours to bridge the empirical and population gap by examining the emotional intelligence and its impact on mental well-being of the students of Indian HEIs, where studies are still scant and demand massive exploration of the perceptions of students. Strong emotional intelligence is pivotal in strengthening the mental well-being of students so that they can make appropriate decisions pertaining to their career and personal life.