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There are two purposes in this paper. The first one is to explore the impact mechanisms and paths of service-oriented manufacturing (SOM) on the sustainability performance of green manufacturing firms and to pay particular attention to the mediating role of enterprise costs in the relationship between the two. The second one is to reveal the dynamic process and laws of SOM influencing on the sustainability performance of green manufacturing enterprises.

This paper employs a combination of dynamic and static research from two aspects. On the one hand, based on 495 green manufacturing firms in China, the authors verify the SEM of SOM, enterprise cost and sustainability performance of green manufacturing firms through empirical research, analyze the path relationship and mediation effect, and demonstrate its complex impact mechanism. On the other hand, the authors use agent-based modeling and simulation to reveal the dynamic influence of SOM on the sustainability performance of green manufacturing enterprises and explore its dynamic laws and future development trends.

The study results indicate that (1) SOM has a direct positive effect on firm sustainability performance. (2) Reducing firm costs has a positive effect on firm sustainability performance, and firm costs play a partial mediating role in the mechanism by which SOM influences firm sustainability performance. (3) The dynamic impact of SOM on sustainability performance increases significantly over time. (4) Significant firm heterogeneity exists in the process by which SOM improves sustainability performance. (5) There are differences in the promotion of SOM for economic performance, environmental performance and social performance.

This paper makes two main contributions. First, compared with previous research on sustainability performance focusing on a certain dimension, this paper organically integrates the three dimensions of sustainability performance, regards them as a whole and considers the paths to improve sustainability performance. Second, this paper focuses on the complex relationship among SOM, enterprise costs and sustainability performance and reveals different sustainability performance improvement paths and dynamic impact processes, thereby expanding and deepening previous research on sustainability on the subject. These contributions lead to a better understanding of the driving forces and realization path for green manufacturing firms' sustainability performance from an integrated static and dynamic perspective.

Augmented Reality (AR) and Virtual Reality (VR) technologies possess the potential to transform the scenario of making real estate investment decisions through the immersive experience they offer. From the literature it was observed that the research in this domain is still emergent and there is a need to identify the latent variables that influence real estate investment decisions. Therefore, by examining the effects of these technologies on investment decision-making, the purpose of the study is to provide valuable insights into how AR and VR could be applied to enhance customers' property buying experiences and assist in their decision-making process.

From an extensive review of the literature four latent variables and their measure were identified, and based on these a survey instrument was developed. The survey was distributed online and received 300 responses from the respondents including home buyers, developers, AEC professionals and real estate agents. To validate the latent variables exploratory factor analysis was used whereas to establish their criticality second-order confirmatory factor analysis was used.

From the results, the four latent constructs were identified based on standard factor loadings (SFL) that is Confident Value Perception (CVP, SFL = 0.70), Innovative Investment Appeal (IIA, SFL = 0.60), Trusted Property Transactions (TPT, SFL = 0.58) and Effortless Property Engagement (EPE, SFL = 0.54), that significantly influence investor decision-making and property purchase experience.

This study contributes to the literature on real estate investment decisions by providing empirical evidence on the role of AR and VR technologies. The identified key variables provided practical guidelines for developers, investors and policymakers in understanding and leveraging the potential of AR and VR technologies in the real estate industry.

The growing importance of environmental, social and governance (ESG) issues, as well as related performance planning, measuring and reporting, has spurred interest in linking corporate sustainability and performance management systems (PMSs). In this context, the aim of this paper is to provide companies with a framework for implementing the requirements of the corporate sustainability reporting directive (CSRD) through a sustainability balanced scorecard (SBSC). The framework will further the integration of sustainability with corporate governance.

The framework was grounded in the relevant literature and the CSRD requirements.

This paper provides companies with a novel framework for implementing the requirements of the CSRD through a SBSC. The framework specifies four key steps (i.e. identifying material themes, initial assessment, strategic formulation and action, and sustainability reporting) to integrate sustainability with corporate governance.

The framework supports managers’ decision-making processes in linking sustainability with strategy and providing a basis for integrating sustainability with corporate governance in organizations. The paper provides a way to practically address the CSRD requirements.

This is the first study integrating the emerging CSRD requirements with corporate governance. The paper advances discussion and debate by management scholars on how a SBSC can be practically implemented, providing details on how this may be achieved.

This study aims to propose a conceptual framework to examine the impact of risk management implementation on green innovation in the Malaysian solar photovoltaic (PV) manufacturing industry.

The study is based on primary data to be collected from 30 Malaysian solar PV manufacturing companies through a questionnaire that incorporates the five-point Likert scale. The exploratory factor analysis (EFA) is proposed to be performed using SPSS 24.0 and confirmatory factor analysis (CFA) is suggested to be conducted using AMOS.21 software to explore the factors and reliability of the items and to confirm the factorial structure of risk management implementation and green innovation. Furthermore, partial least square-structural equation modeling (PLS-SEM) is proposed to investigate relationships between constructs and latent variables.

The proposed framework is based on the stakeholder's theory and suggests that the comprehensive implementation of risk management has a significant and positive impact on green innovation in the Malaysian solar PV manufacturing industry.

This study provides insight into formulating strategies for enhancing green innovation in the solar PV manufacturing sector and serves as a valuable resource for stakeholders.

The significance of the proposed conceptual framework lies in its ability to enhance the workability of the stakeholder's theory and to create value for stakeholders through the implementation of risk management to drive green innovation. This study adds to the existing literature by exploring the relationship between risk management and green innovation in the solar PV manufacturing industry.

Impact investors differ from venture capital firms as they invest to create social and commercial value. This paper pursues the question: how do impact investors select social enterprises? The aim of this study is to understand the selection and investing process of impact investors.

This study developed a database of 115 impact-investing firms across different geographies. Emails were sent to investors associated with each of the impact-investing firms found in the database, out of which 32 replied with consent for a telephonic or in-person interview.

The significant findings presented in the paper are the following. First, this study shows the impact-investing selection process model. The four major steps in the selection process are context, investment focus, venture analysis and decision. In each step, social values and missions become the defining characteristics of the selection process. Second, the findings also discuss the typologies of impact investors as a function of their selection approaches.

This paper discusses the impact investing strategy among social enterprises. It provides a framework for impact investing among investee social enterprises. As an impact investing professional, one learns investment strategy through this paper.

Impact investing is a growing field. It is believed that impact investing could greatly impact sustainable development goals, climate change goals and help in inclusive development. This study helps to further understand impact investing process and hopes to help social enterprises and impact investors make a better match, thereby, creating a greater overall social and environmental impact.

This study helps both practitioners and academics to understand the complexity of impact investing. This study helps develop heuristics that impact investors may use to make investments. This study provides a framework for investing, which the impact investing firms may use to invest.

The purpose of this paper is to present a conceptual framework that explores the determinants, mechanisms and consequences of reporting on the United Nations Sustainable Development Goals (UN SDGs) by universities. The framework considers the relationship between reporting on the SDGs and the three main activities of universities: research, teaching and service. As universities hold a unique position in society, understanding their experiences with SDG reporting offers insights into the promotion and integration of SDGs into reporting and practice more broadly.

The paper adopts a conceptual approach and draws on existing literature to develop a framework for understanding reporting on the UN SDGs by universities. The framework considers the challenges faced by universities in providing sustainability information and examines the motivations and outcomes associated with reporting. It also explores the coordination and collaboration necessary across departments within universities and discusses the risks associated with greenwashing.

The paper highlights that reporting on the UN SDGs can enhance university engagement with stakeholders, improve their reputation, and foster innovation and transdisciplinary research ideas. However, universities encounter challenges such as limited data availability, resource constraints, lack of coordination and competing priorities. The growing scepticism surrounding reporting motives has led to increased allegations of greenwashing within the sector.

This paper contributes to the accounting literature by presenting a comprehensive framework that explores the determinants, mechanisms and consequences of reporting on the UN SDGs by universities. The framework offers insights into how reporting on SDGs can lead to embedding the SDGs in research, teaching and service activities and can be adapted to other organisational contexts. The paper also emphasises the need for further research on the mechanisms of reporting, which play a crucial role in driving long-lasting change.

Green Lean Six Sigma (GLSS) is a comprehensive approach that aims to reduce waste, emissions and non-value added activities, thus mark an effective impact on sustainability of firms. Despite the numerous benefits of GLSS implementation, it is evident that Micro Small and Medium Enterprises (MSMEs) are still struggling to understand, integrate and implement this strategy. This research work provides a comprehensive analysis of GLSS within MSMEs and proposes a conceptual integration framework of GLSS for improving economic and environmental dimensions of sustainability MSMEs.

A systematic literature review (SLR) methodology was planned to assess and analyse the research articles from 2007 to 2022. Different key elements of GLSS such as barriers, enablers and tool sets have been thoroughly reviewed and analysed for MSME organisations to understand their behaviour and effectively adopt the GLSS approach in their operations.

This study provides the analysis of different perspectives of GLSS and this will contribute to improve different metrics related to emissions and quality in MSMEs. It provides MSMEs industrial managers with a comprehensive knowledge base of GLSS elements, enabling effective deployment.

The present study provides a significant knowledge base and know-how of GLSS to researchers that will assist in deploying this sustainable approach in different industrial domains. The study also assists industrial managers by providing a systematic framework of GLSS for MSMEs. Further, the study also supports society by proving pathway to improve the environmental dynamics through the execution GLSS.

The study is of the first kind that review different facets of GLSS related to MSME. The study not only enhances theoretical know how of GLSS but also guides practitioners how to implement comprehensive GLSS program for improved environmental sustainability.

The purpose of this paper is to investigate the research landscape of LSS 4.0 papers published in two well-known repositories, Scopus and Web of Science (WoS), in terms of publication trends, article distribution by author, journal, affiliations and country, and article clustering based on keywords, authors and countries. In addition, a literature review was carried out to build a conceptual framework of integrated Lean Six Sigma and Industry 4.0 (LSS 4.0) that encompasses operational, sustainability and human factors or ergonomics aspects.

The literature review of integrated Lean Six Sigma and I4.0 publications published in Scopus and WoS databases in the current decade was conducted for the present study. This study categorizes LSS, I4.0 and related research articles based on publication patterns, journals, authors and affiliations, country and continental-wise distribution and clustering the articles based on keywords and authors from the Scopus and WoS databases from 2011 to 2022 using the search strings “Lean”, “Six Sigma”, “Lean Six Sigma” and “Industry 4.0” in the Title, Abstract and Keywords using Biblioshiny, VOS viewer and Microsoft Excel.

In the recent three years, from 2020 to 2022, LSS 4.0 has been substantially increasing and is seen as an emerging and trending area. This research identifies the most influential authors, most relevant affiliations, most prolific countries and most productive journals and clusters based on keywords, authors and countries. Further, a conceptual framework was developed that includes the impact of operational, sustainability and ergonomic or human factors in LSS 4.0.

This article assists in comprehending the trends and patterns of LSS 4.0. Further, the conceptual framework helps professionals and researchers understand the significance and impact of integrating LSS and Industry 4.0 in the aspects of human factors/ergonomic, sustainability and operations. Also, the research induce professionals to incorporate all these factors while designing and implementing LSS 4.0 in their organization.

This conceptual framework and bibliometric analysis would aid in identifying potential areas of research and providing future directions in the domain of LSS 4.0. It will be beneficial for academicians, professionals and researchers who are planning to apply and integrate techniques of LSS and technologies of I4.0 in their organizations and research.

Motivation of the employees is extensively considered as an antidote for the overall success of the organizations. This study primarily aims to investigate the impact of motivation on the job performance of university librarians in Pakistan.

Quantitative research design followed by a survey method under an extended theory of motivation was applied. Data were collected from 123 professional librarians of 79 university libraries in Punjab province, Pakistan. The study tested hypotheses having used regression statistical test through Statistical Package for Social Sciences Software (Version 26).

Results of the study revealed that motivation (intrinsic and extrinsic), the expectation of benefits, satisfaction of meta needs and challenging situations have a strong positive impact on the optimum job performance of university librarians.

This research has theoretical implications for the researchers and practical insights for human resource managers to get maximum outcomes for organizational development. The results of the study may be generalized to the university libraries of other countries having similar socio-economic and cultural situations.

This study developed a framework based upon empirically tested hypotheses that might be used as drivers for different motivation practices to augment employees’ commitment to the organizations.

In light of the shift in focus from information communication technology (ICT) access (access divide) and skills (skills divide) to the tangible impacts of ICT use (impact divide), a growing number of scholars have called for further investigation into the inter-territorial and multi-dimensional aspects of the digital divide in China. This study aims to address these gaps by examining the disparities across 31 provinces, particularly emphasizing the transition from the traditional access and skills divides to the impact divide.

Multivariate regression analysis extensively investigates the transition from the access and skills divides to the impact divide across 31 provinces. Additionally, ArcGIS software is used to analyze spatial agglomeration and the auto-correlation (Moran-i) and predict mapping patterns in the data corresponding to all three levels of the digital divide.

According to the study's findings, poverty is a significant factor in the digital divide between different regions in China. The research shows that provinces with advanced administrative systems, such as Guangdong, Shanghai, Beijing, Jiangsu, Shandon and Zhejiang, have high scores on the digital development index (DDI). However, regions with poverty-ridden and rural areas, primarily located in southwest, central and western China, tend to have lower DDI scores.

This study offers a novel contribution to the literature by presenting an innovative conceptual framework that explores the impact divide within China's provinces. The authors also address this lacuna in the literature by developing and testing two dimensions to examine the relationships statistically under a wide range of socioeconomic and ICT indicators.