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The express delivery industry faces challenges engaging consumers in sustainable practices. This study explores how sustainable service quality affects corporate loyalty, mediated by value co-creation (VCC) and green customer satisfaction. It also scrutinizes low-carbon knowledge as a moderator and investigates variances in VCC outcomes between Generation Y and Generation Z consumer groups.

An empirical study involves a scenario experiment and a questionnaire answered by 596 Chinese consumers in 2023. Partial least squares structural equation modeling (PLS-SEM) tests proposed relationships. Regression analysis examines the chain mediating effect of VCC and green satisfaction, while group analysis assesses intergenerational differences.

Sustainable service quality positively influences consumer VCC, which in turn impacts customers’ green satisfaction and corporate loyalty. VCC and green satisfaction act as intermediaries between sustainable service quality and corporate loyalty. Low-carbon knowledge positively moderates sustainable service quality's impact on VCC. Generation Y and Generation Z show differences in the relationship between VCC and loyalty.

Express delivery firms should enhance sustainable service quality and encourage consumer participation in VCC activities. This can improve consumer green satisfaction, loyalty and competitive advantages.

This study expands service marketing literature by clarifying VCC's role in sustainable services and offers insights into VCC's causes and effects. It proposes strategies for the express delivery industry to influence consumer behavior through sustainable service practices.

The purpose of this study is to examine the effects of mobile Internet adoption on technology adoption extensity.

This study uses cross-sectional data collected in 2018 from 932 smallholder litchi farmers in Guangdong Province and Guangxi Province in southern China. A Poisson regression with endogenous treatment effects (ETPR) model is applied to estimate the effects of mobile Internet adoption on technology adoption extensity.

The ETPR model results indicate that mobile Internet adoption can significantly enhance technology adoption extensity. In addition, the extensity of technology adoption is also determined by education level, training, share of litchi farming income, guidebook use and cooperative membership. Disaggregated analyses further confirm the positive impact of mobile Internet adoption on the number of capital- and labor-intensive technologies adopted.

This study contributes to the literature on agricultural technology adoption. The findings highlight the need to facilitate modern agricultural technology penetration by promoting the use of mobile Internet technologies.

This study aims to assess the effect of religiosity on the job satisfaction of nurses in response to the paucity of studies that have investigated this relationship in a health care setting. The authors also tested the moderation impact of materialism on the religiosity–satisfaction nexus.

The quantitative (correlational) research technique was applied to test hypotheses of interest. The simple random sampling method was used to select a representative sample of 458 nurses. Confirmatory factor analysis (CFA) was used to examine the factor structures of relevant constructs and to test hypotheses. The study’s ultimate CFA model produced a good fit at 5 per cent significance level [Chi-square (χ²) = 19.121; p = 0.454].

Religiosity was found to make a positive effect on job satisfaction and a negative effect on materialism. Materialism makes a negative effect on job satisfaction. Religiosity and materialism makes a significant negative interaction effect on nurses’ satisfaction after controlling for job income.

It is therefore concluded that religiosity is a positive behaviour that contributes to the satisfaction of nurses, but materialism must be avoided or at least reduced to maximise this impact.

In this study, the authors demonstrate that the positive effect of religiousness on job satisfaction can be negatively moderated by materialism so that religiousness makes less impact on satisfaction owing to the negative influence of materialism on job satisfaction.

This study aims to evaluate the effectiveness of different prefabricated construction (PC) policies using a case study in Wuhan, considering the local context.

The effectiveness of PC policies is falling behind expectations. The main reason lies in an insufficient understanding of the policy impacts. An agent-based model was built by choosing the residential sector in a typical large city of Wuhan, China, as the study case. Different cost reduction scenarios were introduced for investigating the PC policy effectiveness. The proposed model and simulation approach can be used for other cities and generalized to the whole Chinese PC industry with the potential to include more local policies and corresponding data.

Simulation results show that carbon emission reduction will be between 60,000 and 80,000 tons with policy incentives, nearly double that of the no policy intervention scenario. The target of 30% PC in all new buildings by 2026 in China is achievable with the subsidy policies of linear cost reduction, or cost reduction conforms to the learning curve.

Simulation results of three kinds of policy show that subsidy policy optimization is necessary regarding reducing the level of subsidy needed. The carbon credit policy is not essential since it has little influence on PC development. Implementing the project procurement restriction policy is not recommended if the scale of development of PC is more important than achieving the development target.

This study can help the government and developers make better policy and strategic decisions on PC development and boost the sustainability transition of the construction industry.

Materialism has been reported to be on the increase among health workers, a situation that can oppose the expected effect of remuneration on nurses’ satisfaction. The purpose of this study is to examine the effect of materialism on the remuneration–satisfaction relationship in an attempt to know if materialism is a negative behaviour that can counter efforts to increase nurses’ satisfaction through remuneration.

The quantitative (correlational) research technique was applied to test hypotheses of interest, with relevant confounding variables controlled for. The simple random sampling method was used to select a representative sample of 458 nurses. A self-reported questionnaire was used to gather data. The authors used structural equation modelling (SEM) to examine the factor structures of the measurement scales used in this study and to test hypotheses.

The study’s ultimate structural model produced a good fit at 5 per cent significance level [Chi-square = 11.654; p = 0.309]. After controlling for the relevant variables, remuneration makes a significant positive effect on the satisfaction of nurses, whereas materialism makes a negative effect on it. Materialism interacts with remuneration to make a significant negative effect on job satisfaction.

This study adds to the literature and adjusts for a unique set of relevant confounding variables in testing the primary relationships.

Green knowledge management (GKM) has become a more prominent research topic because of its ability to balance business sustainability, performance and society's well-being. The purpose of this paper is to study how GKM literature evolved before and after two major events: the introduction of sustainable development goals (SDGs) and the first conceptualization of GKM. In this paper, GKM is holistically examined following the stages of the knowledge management cycle, a framework for organizational knowledge-processing phases.

This study performed a bibliometric analysis of 1,274 papers related to GKM from 1995 until January 2024.

Over the three decades, this research outlined the intertwined relationships between core themes in the domain such as knowledge management in the context of corporate social responsibilities, sustainable development (SD), competitive advantage and so on, and popular theories. GKM evolved from an “industrial and technical view” of knowledge management to a more emerging perspective of a “social process.” Emerging themes were identified such as green innovation, information security or organizational learning sub-themes with key technologies like block-chain, big data analytics and artificial intelligence. Future research can explore themes such as green knowledge integration, green entrepreneurship, green supply chain and green knowledge integration capabilities.

This review offers practitioners a holistic picture of GKM to tackle emerging environmental concerns and increase businesses' competitive advantages. This study provides insights into the future practices of GKM, incorporating emerging technological advancement, to gain green intellectual capital and build dynamic capabilities for sustainability.

To the best of authors’ knowledge, this study is the first to provide a comprehensive picture of the GKM literature, from its earliest forms of corporate social responsibility and SD until the introduction of SDGs, and in combination with the evolution of knowledge management cycle stages.

Purpose: The chapter analyses the diversity of the European Union (EU) member states in terms of the transition to a sustainable, green, and just economy.

Need for the study: Sustainable development is an important concern that the EU approaches by aiming to transition to a greener economy, fairly and inclusively. Moreover, the actual context, post-pandemic period and ongoing war at the EU border, makes the social and economic development of the EU countries matter even more in the light of this just transition.

Methodology: The authors relied on a multidimensional approach, using principal component analysis (PCA) to reduce the dimensionality of the dataset. The cluster analysis allowed us to group the countries in such a way that made it possible to identify the best and worst performers, as well as certain patterns that can be the basis for the formulation of good practices and transferable to the states that need more support in the transition to a green economy.

Findings: The results indicated that EU member states can be grouped into five clusters, each needing specific policies to ensure sustainable and inclusive development. Denmark, Finland, and Sweden turned out the best performers, while Estonia, Lithuania, Bulgaria, and Romania proved to have the most unfavourable situation.

Practical implications: The findings provide relevant policy implication insights for policy decision-makers in the field of green economy, economic development, and social policies, with directions for future research.

The transition from fossil fuel-based energy systems to renewable energy sources, commonly referred to as the energy transition, is essential for combating climate change. However, comprehensive studies that thoroughly examine the financial mechanisms involved in this process are lacking. Despite the availability of various financial tools, there is a notable absence of extensive research that synthesizes and categorizes these mechanisms into broad groups.

A systematic literature review is used to explore a comprehensive framework for financial mechanisms related to the energy transition and their application across six stages of the process.

The framework of financial mechanisms for energy transition encompasses these six factors: public financing mechanisms, private financing mechanisms, market-based mechanisms, innovative financing mechanisms, risk mitigation instruments and institutional support and capacity building.

This is the first study that thoroughly reviewed the financial mechanisms involved in the energy transition process.

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.

To address challenges such as inadequate funding and inefficiency in public infrastructure construction, PPPs have gained significant global traction. This study aims to comprehensively assess the impacts and mechanisms of PPPs on the SDI and to provide rational policy recommendations based on the findings.

We collated a dataset from 30 Chinese provinces covering the years 2005–2020 as our research sample. The study’s hypotheses are tested using a double fixed-effects model, a chained mediated-effects model and a multidimensional heterogeneity analysis.

Our findings indicate that PPPs have a facilitating effect on SDI in general. This boost usually lags behind policy implementation and is cyclical in the time dimension. In the spatial dimension, PPPs contribute significantly to SDI in the eastern and western regions, but not in the central region. From the perspective of the dynamics of economic, social and industrial development, PPPs in economically backward areas are difficult to promote SDI, promote it the most in economically medium regions and are slightly less in economically developed regions than in medium regions. This promotion effect has an inverted U-shaped relationship with social development and diminishes with industrial structure upgrading. Finally, due to the negative relationship between PPPs and social development and between social development and SDI, PPPs are shown to contribute to SDI and are identified as critical paths. However, PPPs suppress SDI by inhibiting economic and industrial development.

This study makes three novel contributions to the existing body of knowledge: (1) we innovatively introduce the United Nations Sustainable Development Goals (SDGs) into the field of infrastructure research, offering fresh perspectives on SDI enhancement; (2) revealing the mechanisms by which PPPs affect SDI through the three dimensions of economic, social and industrial development enabling policymakers to better understand and optimize resource allocation and improve planning, design and management of PPP projects for sustainable infrastructure and (3) we assess the spatiotemporal variances of PPPs’ effects on SDI and the diversity across regions at different social, economic and industrial structures developmental stages, offering critical insights to global decision-makers to devise tailored policy measures.