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Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and diverse. Exploring the main influencing factors and their mechanisms is essential for promoting collaborative green innovation in supply chains. Therefore, this study analyzes how upstream and downstream enterprises in the supply chain collaborate to develop green technological innovations, thereby providing a theoretical basis for improving the overall efficiency of the supply chain and advancing green innovation technology.

Based on evolutionary game theory, this study divides operational scenarios into pure market and government-regulated operations, thereby constructing collaborative green innovation relationships in different scenarios. Through evolutionary analysis of various entities in different operational scenarios, combined with numerical simulation analysis, we compared the evolutionary stability of collaborative green innovation behavior in supply chains with and without government regulation.

Under pure market mechanisms, the higher the green innovation capability, the stronger the willingness of various entities to collaborate in green innovation. However, under government regulation, a decrease in green innovation capability increases the willingness to collaborate with various entities. Environmental tax rates and green subsidy levels promote collaborative innovation in the short term but inhibit collaborative innovation in the long term, indicating that policy orientation has a short-term impact. Additionally, the greater the penalty for collaborative innovation breaches, the stronger the intention to engage in collaborative green innovation in the supply chain.

We introduce the factors influencing green innovation capability and social benefits in the study of the innovation behavior of upstream and downstream enterprises, expanding the research field of collaborative innovation in the supply chain. By comparing the collaborative innovation behavior of various entities in the supply chain under a pure market scenario and government regulations, this study provides a new perspective for analyzing the impact of corresponding government policies on the green innovation capability of upstream and downstream enterprises, enriching theoretical research on green innovation in the supply chain to some extent.

The present study assesses the commercial bank profit efficiency and its relationship to banking sector competition in a rapidly growing emerging economy, India from 2009 to 2019 using stochastic frontier analysis (SFA).

Lerner indices, conventional and efficiency-adjusted, quantify competition. Two SFA models are employed to calculate alternative profit efficiency (inefficiency) scores: the two-step time-decay approach proposed by Battese and Coelli (1992) and the recently developed single-step pairwise difference estimator (PDE) by Belotti and Ilardi (2018). In the first step of the BC92 framework, profit inefficiency is calculated, and in the second step, Tobit and Fractional Regression Model (FRM) are utilized to evaluate profit inefficiency correlates. PDE concurrently solves the frontier and inefficiency equations using the maximum likelihood process.

The results suggest that foreign banks are less profit efficient than domestic equivalents, supporting the “home-field advantage” hypothesis in India. Further, increasing competition drives bank managers to make riskier lending and investment choices, decreasing bank profit efficiency. However, this effect varies depending on bank ownership and size.

Literature on the competition bank efficiency link is conspicuously scant, with a focus on technical and cost efficiency. Less is known regarding the influence of competition on bank profit efficiency. The article is one of the first to examine commercial bank profit efficiency and its relationship to banking sector competition. Additionally, the study work represents one of the first applications of the FRM presented by Papke and Wooldridge (1996) and the PDE provided by Belotti and Ilardi (2018).

With the advancement of technology, microlearning has emerged as a promising method to improve the efficacy of teaching and learning. This study aims to investigate the document types, volume, growth trajectory, geographic contribution, coauthor relationships, prominent authors, research groups, influential documents and publication outlets in the microlearning literature.

We adapt the PRISMA guidelines to assess the eligibility of 297 Scopus-indexed documents from 2002 to 2021. Each was manually labeled by educational level. Descriptive statistics and science mapping were conducted to highlight relevant objects and their patterns in the knowledge base.

This study confirms the increasing trend of microlearning publications over the last two decades, with conference papers dominating the microlearning literature (178 documents, 59.86%). Despite global contributions, a concentrated effort from scholars in 15 countries (22.39%) yielded 68.8% of all documents, while the remaining papers were dispersed across 52 other nations (77.61%). Another significant finding is that most documents pertain to three educational level categories: lifelong learning, higher education and all educational levels. In addition, this research highlights six key themes in the microlearning domain, encompassing (1) Design and evaluation of mobile learning, (2) Microlearning adaptation in MOOCs, (3) Language teaching and learning, (4) Workflow of a microlearning system, (5) Microlearning content design, (6) Health competence and health behaviors. Other aspects analyzed in this study include the most prominent authors, research groups, documents and references.

The finding represents all topics at various educational levels to offer a comprehensive view of the knowledge base.

Economic policy uncertainty (EPU) has huge impact and harm on real economy, so the economic logic and other economic effects behind this must be further studied. By constructing the “China Economic Policy Uncertainty Index” to capture the degree of EPU faced by Chinese companies, the authors empirically test whether and how EPU affects the level of executives' perquisite consumption.

This study investigates the relationship between EPU and executive perquisite consumption based on a sample of 3,185 publicly listed firms in China. To examine the relationship between EPU and executives' perquisite consumption, a mixed least squares method was used for regression. To alleviate the problem of missing variables that do not change over time and control the influence of unobservable individual heterogeneity at the firm level, the firm fixed effects model is used for regression.

The study finds that EPU is positively associated with executive perquisite consumption. This positive association is stronger for firms with smaller size, lower management shareholding and higher levels of separation of ownership and control. Effective external governance (i.e., analyst coverage, media coverage, auditor and market competition) can mitigate the relationship between EPU and executive perquisite consumption. Further analysis reveals that EPU increases executive perquisite consumption by holding more cash and decreasing firm risk taking. EPU hurts market value of firms by boosting executive perquisite consumption and tunneling.

In an environment with high EPU, the board of directors should reduce managers' compensation performance sensitivity to ease the agency conflict caused by uncertainty. Firms should improve their governance mechanisms and standard and pay attention to their environmental changes. Policymakers should pay attention to maintaining the continuity and predictability of policies, stabilizing the economic policy expectations of market entities and avoiding frequent changes in policies that can harm economic and firm value. The regulatory authorities should actively guide listed companies to increase active information disclosure during periods of high policy uncertainty.

This study contributes to the research on corporate governance by showing how EPU influences executives' behaviors. The authors advance relative studies by showing that this uncertainty embedded in a firm's external environments influences executive perquisite consumption. This study also contributes to the literature on how internal and external governances influence corporate behavior during uncertainty. These findings extend this line of research by suggesting that effective external governance is an attribute that can alleviate the effect of uncertainty on managers' opportunistic behaviors.

This study investigates the relationship between bank capital and liquidity creation and further examines the effect that institutional quality has on this relationship in Sub-Saharan Africa (SSA).

The data comprise 41 universal banks in nine SSA countries from 2010 to 2022. The study employs the two-step system generalized methods of moments and further uses alternative estimators such as the fixed-effect and two-stage least squares methods.

The empirical results show that bank capital has a direct positive and significant effect on liquidity creation. In addition, the positive effect of bank capital on liquidity creation is enhanced, particularly in a strong institutional environment. The results imply that nonconstraining capital regulatory policies bolster bank solvency, improve risk-absorption capacity and increase liquidity creation.

This study has several policy implications. First, it provides empirical evidence on the position of banks in SSA on the financial fragility and risk-absorption hypothesis of bank capital and liquidity creation debates. This study shows that the effect of bank capital on liquidity creation in SSA countries is positive and supports the risk-absorption hypothesis. Second, this study highlights that a country's quality institutions can complement bank capital to increase liquidity creation. In addition, this study highlights that nonconstraining capital regulatory policies will bolster bank solvency, improve risk-absorption capacity and increase liquidity creation.

The novelty of this study is that it introduces the country's quality institutional environment into bank capital and liquidity creation links for the first time in SSA.

Artificial intelligence (AI) allows the brand to co-create value with young customers through mobile apps. However, as many brands claim that their mobile apps are using the most updated AI technology, young customers face app fatigue and start questioning the authenticity of this touchpoint. This paper aims to study the mediating effect of authenticity for the value co-creation of AI-powered branded applications.

Drawing from regulatory engagement theory, this study conceptualize authenticity as the key construct in customers’ value experience process, which triggers customer value co-creation. Two scenario-based online experiments are conducted to collect data from 444 young customers. Data analysis is performed using ANOVA and Process Hayes.

The results reveal that perceived authenticity is an important mediator between media richness (chatbot vs AI text vs augmented reality) and value co-creation. There is no interaction effect of co-brand fit (high vs low) and source endorsement (doctor vs government) on the relationship between media richness and perceived authenticity, whereas injunctive norms (high vs low) strengthen this relationship.

The finding provides insights for marketing managers on engaging young customers suffering from app fatigue. Authenticity holds the key to young customers’ technological perceptions.

This research highlights the importance of perceived authenticity in encouraging young customers to co-create value. Young customers consider authenticity as a motivational force experience that involves customers through the app’s attributes (e.g. media richness) and social standards (e.g. norms), rather than brand factors (e.g. co-brand fit, source endorsement).

This paper empirically investigates whether female CEOs (She-E-Os) have an effect on firm innovation among Chinese listed firms based on patent data. This study also delved further by looking at whether the internal corporate environment moderates the effect of female CEOs on innovation, that is, state ownership. Finally, this study investigates an additional test of financial constraints to examine whether financial constraints also moderate the impact of female CEOs on firm innovation.

This study used the data of all A-share listed companies on the Shanghai and Shenzhen stock exchanges for the period from 2008 to 2017. The authors use ordinary least squares regression as a baseline methodology, along with firm-fixed effect, lagged measure of female CEOs, alternative measures of innovation, Heckman two-step model and negative binomial regression to check and control the possible issue of endogeneity.

The authors’ findings show that CEO gender plays an important role in producing higher levels of innovation output by improving the governance structure. However, female CEOs have no effect on state-owned enterprises' (SOEs) innovation activities, which suggests that the main goal of SOEs is achieving sociopolitical objectives. Furthermore, female CEOs' influence on innovation output is weaker in firms with financial constraints.

This study adds to the emerging global discussion on gender diversity. Many legislative bodies require a quota for women on corporate boards due to gender inequality. This study's findings reinforce such guidelines by emphasizing the economic benefits of including women in top management positions.

This study provides new insights by highlighting the role of female CEOs in increasing firms' innovation activities. Additionally, this study provides evidence on whether the internal corporate environment (state ownership and financial constraints) moderates female CEOs' effect on innovation.

The academic experience of top management team (TMT) has a positive impact on firms' innovation performance. However, existing studies predominantly focus on the educational qualifications and institutional prestige of TMT, failing to comprehensively evaluate whether TMT possess genuine academic experience and the role of academic competence. This article aims to examine whether TMT academic competence has a potential influence on firm innovation performance and to understand the mechanisms behind this relationship.

Using firm-level metrics of Chinese listed firms and TMT scholarly publication data spanning 2000–2021, this paper investigates whether TMT academic competence can promote firms' innovation performance and conducts a moderated mediating effect analysis.

(1) Academic competence of TMT can contribute positively to firms’ innovation performance; (2) university–industry collaboration partially mediates this relationship; (3) the mediating effect is enhanced by cognitive proximity and (4) distance proximity does not diminish the mediating effect.

Outcome of this study can assist academia in further understanding the impacts of TMT on firm innovation and aid government in promoting university–industry collaboration. Simultaneously, it can help firms adjust their TMT selection and training strategies to enhance innovation performance.

This article, as the first to construct an index of academic competence and to explore whether it has an impact on firms' innovation performance and its inherent mechanism, can provide a new research perspective for the study of the impact of TMT's characteristics on firms' innovation.

The present study aims to develop a risk-supported case-based reasoning (RS-CBR) approach for water-related projects by incorporating various uncertainties and risks in the revision step.

The cases were extracted by studying 68 water-related projects. This research employs earned value management (EVM) factors to consider time and cost features and economic, natural, technical, and project risks to account for uncertainties and supervised learning models to estimate cost overrun. Time-series algorithms were also used to predict construction cost indexes (CCI) and model improvements in future forecasts. Outliers were deleted by the pre-processing process. Next, datasets were split into testing and training sets, and algorithms were implemented. The accuracy of different models was measured with the mean absolute percentage error (MAPE) and the normalized root mean square error (NRSME) criteria.

The findings show an improvement in the accuracy of predictions using datasets that consider uncertainties, and ensemble algorithms such as Random Forest and AdaBoost had higher accuracy. Also, among the single algorithms, the support vector regressor (SVR) with the sigmoid kernel outperformed the others.

This research is the first attempt to develop a case-based reasoning model based on various risks and uncertainties. The developed model has provided an approving overlap with machine learning models to predict cost overruns. The model has been implemented in collected water-related projects and results have been reported.

The study aims to work on two objectives, first to provide a theoretical foundation along with ongoing trend in the field of green human resource management (GHRM) and employee green creativity (EGC) in the hospitality and tourism industry. Second, the study also proposes a conceptual research model to understand the dynamics of the relationship between GHRM and EGC for future studies.

The study uses multi-method approach, systematic literature review and bibliometric analysis is performed on published work on GHRM and EGC. This study initially shortlisted 52 publications from multiple databases, which was refined to 11 Scopus-indexed papers, which discussed both GHRM and EGC attributes in a hospitality context. VOSviewer and advance excel software's are being used to perform the analysis.

The systematic literature review concluded that very limited studies have been conducted on GHRM and EGC in the hospitality context and it has recently gained prominence during the covid pandemic. While bibliometric analysis also identified h-index authors with their co-authorship network, citations and keywords matrix and the changing trends in the domain of GHRM and EGC in hospitality and tourism industry. The analysis also highlights the individual and organisational factors influencing the relation between GHRM and EGC.

This study is the first to conduct a systematic literature review and bibliometric analysis on GHRM and EGC in hospitality and tourism sector. Moreover the paper also provides researchers with an in-depth summary of the available literature and a blue print for future studies on GHRM and EGC.