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This study aims to investigate the structural characteristics, spatial evolution paths and internal driving mechanisms of the knowledge transfer (KT) network in China’s patent-intensive industries (PIIs). The authors' goal is to provide valuable insights to inform policy-making that fosters the development of relevant industries. The authors also aim to offer a fresh perspective for future spatiotemporal studies on industrial KT and innovation networks.

In this study, the authors analyze the patent transfer (PT) data of listed companies in China’s information and communication technology (ICT) industry, spanning from 2010 to 2021. The authors use social network analysis and the quadratic assignment procedure (QAP) method to explore the problem of China’s PIIs KT from the perspectives of technical characteristics evolution, network and spatial evolution and internal driving mechanisms.

The results indicate that the knowledge fields involved in the PT of China’s ICT industry primarily focus on digital information transmission technology. From 2010 to 2021, the scale of the ICT industry’s KT network expanded rapidly. However, the polarization of industrial knowledge distribution is becoming more serious. QAP regression analysis shows that economic proximity and geographical proximity do not affect KT activities. The similarity of knowledge application capacity, innovation capacity and technology demand categories in various regions has a certain degree of impact on KT in the ICT industry.

The current research on PIIs mainly focuses on measuring economic contributions and innovation efficiency, but less on KT in PIIs. This study explores KT in PIIs from the perspectives of technological characteristics, network and spatial evolution. The authors propose a theoretical framework to understand the internal driving mechanisms of industrial KT networks.

Expansion of the consumption of renewable energy is a significant issue for reducing global warming, to cope with climate change and achieve sustainable development. This study aims to examine how research and development expenditure (R&D) affects renewable energy development in developed G-7 countries over the period from 2000 to 2019. Variables of trade liberalization and CO₂ emissions are considered control variables.

This study has adopted a panel quantile regression. The impact of the variables on renewable development has been examined in quantiles of 0.1, 0.25, 0.5, 0.75 and 0.9. Also, a robust examination is accomplished by applying generalized quantile regression (GQR).

The empirical findings reveal a positive and significant relationship between R&D and the consumption of renewable energy in 0.1, 0.25, 0.5 and 0.75 quantiles. Also, the findings describe that the expansion of trade liberalization and CO₂ emissions can significantly increase the development of renewable energy in G-7 countries. Furthermore, GQR verifies the main outcomes.

These results have very momentous policy consequences for the governments of G-7 countries. Therefore, investment and support for the R&D section to promote the development of renewable energy are recommended.

This paper, in comparison to other research, used panel quantile regression to investigate the impact of factors affecting renewable energy consumption. Also, to the best of the authors’ knowledge, no study has perused the effect of R&D along with trade liberalization and carbon emissions on renewable energy consumption in G-7 countries. Also, in this paper, as a robustness check for panel quantile regression, the GQR has been used.

Purpose of This Chapter: >The study examines the importance and effect of working over office hours and lengthy commutes on work–life balance because both consume time away from the official working hours. The study utilized perceived organizational support to measure the moderating role of working over office hours, lengthy commutes, and work–family balance.

Design / Methodology / Approach: An inferential statistics cross-sectional study collected data from 437 full-time employees of IT-BPM companies in 5 metropolitan cities in India. The study used the PLS-SEM to examine the hypotheses.

Findings: The results show a negative relationship between working over office hours and lengthy commutes on work–family balance. This study also found the moderating effect of perceived organizational support on working over office hours and lengthy commutes on the work–family balance. Also, the study revealed that half of the respondents spend three hours, and one-fourth of the respondents spend four and half hours working over office hours and lengthy commutes.

Research Limitations: This research is limited to IT-BPM companies in India. Nevertheless, the findings highlight the factors associated with IT-BPM employee work–family balance, and only two factors were identified.

Practical Implications: This study enhances the work–family balance’s theoretical and practical effects. The results provide a competitive benchmark for IT-BPM managers, administrators, and governing bodies of employee well-being.

Originality: To the best of the author’s knowledge, this study is the first to adopt extrinsic variables in work–family border theory to measure the work–family balance of IT-BPM employees.

This chapter examines the significance of green innovation and technologies for sustainable business in Asia, focussing on the issues and challenges confronted by contemporary sustainable business models. The concept of sustainable development is introduced, which seeks to minimize negative impacts on ecosystems and preserve the environment for future generations. This chapter's methodology entails a comprehensive review of existing literature and research on green innovation, green technology, and sustainable business models in Asia. The expansion of ‘green’ energy is directly proportional to the global demand for energy resources. Understanding how green innovation influences a company's capacity for sustainable development is essential for identifying the factors that influence sustainable business models and their economic consequences. Green innovation practices encompass a variety of factors, including government regulations, preferences, supplier competence, and consumer concerns. Green technologies, such as green human resource management (HRM) practices and green innovation practices, play a crucial role in attaining sustainable development by conserving energy, protecting the environment, and enhancing business efficiency. Businesses that adopt green innovation acquire a competitive edge and enhance their performance. This chapter emphasizes the importance of green innovation research and application for business stability in Asia, where sustainability and green concepts are acquiring momentum. Customer, government, and societal pressures further emphasize the significance of green innovation in businesses. For the success of ecological innovation practices, collaboration and knowledge-sharing among various stakeholders are crucial. The adoption of green innovation practices is influenced by external environmental impacts, stakeholder pressure, and organizational support. Green technology innovation, which concentrates on resource conservation, energy efficiency, and environmental protection, is crucial to the sustainability of a business. This chapter concludes by emphasizing the importance of business sustainability in achieving environmental and economic goals and assuring sustainable corporate development. Long-term success requires an understanding of the process of value creation, delivery, and capture within sustainable business models.

This study aims to investigate the effect of organizational ambidexterity (OA) and organizational green culture (OGC) on corporate sustainability (CS) while incorporating the mediating role of green innovation (GI) to provide a detailed insight into CS. The study also presents a research framework based on the Organizational Ambidexterity theory and Natural Resource-based view to explain the factors contributing to CS.

Using stratified sampling, the study collected data through survey-based empirical research from 307 textile companies registered with the Securities and Exchange Commission of Pakistan (SECP) or the All-Pakistan Textile Mills Association (APTMA). The collected data were analysed using path analysis, mediation analysis and moderation analysis through smart PLS-SEM version 4.0 to assess the composition and causal association of factors.

The study found a significant relationship between OA and OGC with CS. Furthermore, the study revealed that green innovation partially mediates the relationship between OGC and CS. The proposed research framework can be valuable for promoting and recommending actions to enhance CS.

The study on CS in the textile sector of Pakistan has limitations such as a narrow focus, cross-sectional design and reliance on self-reported data. Future research should explore additional factors, conduct longitudinal research, investigate contextual factors, scrutinize specific green innovation practices and broaden the scope of the study to include SMEs and other textile organizations.

The research framework can help senior executives to foster CS by promoting OGC, OA and GI. Practitioners and academicians can also utilize or further investigate the proposed framework for validation and to foster CS.

This study fills gaps in the existing literature by investigating the mediating effect of GI between OGC and CS. The proposed research framework provides a comprehensive understanding of the factors contributing to CS based on the Organizational Ambidexterity theory and Natural Resource-based view.

This study aims to investigate the effect of the classification of origin country of institutional shareholder (domestic, developed and developing country) and its status on stock exchange (listed and unlisted) on environmental disclosure level in Indonesian companies.

The data set comprises 474 non-financial firms listed in Indonesian Stock Exchange (IDX) for the period of 2017 to 2019. The study uses an environmental disclosure checklist to measure the extent of environmental disclosure in companies’ reports. Panel regression analysis technique is adopted to investigate the association between total percentage of shares held by institutional shareholders based on the classification of origin country and the status in stock exchange, and the extent of environmental disclosure.

The study reveals that the extent of environmental disclosure is positively and significantly associated with institutional investors from domestic, developed countries, listed and unlisted institutional investors. Further analysis shows interesting results that institutions from developing countries have a negative and significant relationship with environmental disclosure in non-sensitive industries.

The authors recognize the issue of authors’ subjectivity in the measurement process of environmental disclosure. The sample for this study encompasses Indonesian listed firms. Thus, the results may not be generalized to Indonesian unlisted firms and other countries or regions.

This study suggests managers to engage more with institutional shareholders because they have greater concern for environmental disclosure practices. The current study also suggests managers to make strong environmental policies as they are important to ensure that institutional shareholders’ investments are safe.

Given the positive impact institutional shareholders have on the level of environmental disclosure, it indirectly indicates that institutional shareholders have a strong motivation to make the world a better place.

This study offers in-depth insights into the effect of institutional ownership on environmental disclosure based on the classification of origin country and listing status of institutional investors.

The aim of this article is to obtain a stable tensegrity structure by using the minimum knowledge of the structure.

Three methods have been formulated based on the eigen value decomposition (EVD) and singular value decomposition theorems. These two theorems are being implemented on the matrices, which are computed from the minimal data of the structure. The required minimum data for the structure is the dimension of the structure, the connectivity matrix of the structure and the initial force density matrix computed from the type of elements. The stability of the structure is analyzed based on the rank deficiency of the force density matrix and equilibrium matrix.

The main purpose of this article is to use the defined methods to find (1) the nodal coordinates of the structure, (2) the final force density values of the structure, (3) single self-stress from multiple self-stresses and (4) the stable structure.

By using the defined approaches, one can understand the difference of each method, which includes, (1) the selection of eigenvalues, (2) the selection of nodal coordinates from the first decomposition theorem, (3) the selection of mechanism mode and force density values further and (4) the solution of single feasible self-stress from multiple self-stresses.

This study aims to identify an antecedent that hinders knowledge sharing, namely, the perceived climate of Cha-xu. Based on the social exchange perspective, the authors propose a theoretical model that links the perceived climate of Cha-xu to employee knowledge sharing. This model focuses on the mediating role of two types of trust (vertical and horizontal trust) and the moderating role of task interdependence in influencing the mediation.

Using a sample of 509 Chinese employees, this study carried out a survey on an online platform. This study developed a structural equation model and tested the moderated mediation hypothesis by using Mplus 8.0.

The results showed that two types of trust act as mediators in the relationship between the perceived climate of Cha-xu and knowledge-sharing processes. The mediating effect of horizontal trust is stronger. Most significantly, findings show that this mediated relationship is contingent on the level of task interdependence.

This paper provides evidence for distinguishing vertical trust and horizontal trust in the field of knowledge management. From a managerial perspective, this study identifies traditional cultural factors for hindering knowledge-sharing processes within Chinese organizations.

Electric cars (EC) adoption represents a strategic action aimed at promoting environmental sustainability. Although Millennials and Gen Z represent the greatest potential market for EC, their adoption remains low; thus, this study focused on examining the role of motive in predicting EC adoption intention within these two generations’ population. Built upon the fundamental motive framework, this research explores the motives that lead to EC adoption intention. Subsequently, this study aims to examine the role of performance expectancy as the mediating variable and EC attributes beliefs as the moderating variable that can promote EC adoption intention.

Both exploratory and confirmatory methods were used in this investigation. Using an exploratory approach, this research explores the fundamental motives and the attributes of EC that influence EC adoption intention. Using a confirmatory approach, this research tests the mediating role of performance expectancy. To collect the data, an online survey was administered to 260 young consumers in Indonesia.

The results of PLS-SEM analysis from the data revealed that self-protection, kin-care, status and affiliative motives influence EC adoption. Furthermore, performance expectancy mediates the relationship between self-protection, mate acquisition, affiliative motives and EC adoption intention. Among EC attributes, the short-haul performance strengthens the indirect relationship between affiliative motive and EC adoption intention.

The main limitation of this study is that it only focuses on the practical attributes of EC, whereas psychological attributes that were found to be more influential in consumer’s purchase decisions were not examined.

Marketers need to explore EC attributes that can strengthen the relationship between consumers’ motives and EC adoption intention by increasing consumers’ evaluation of performance expectancy. In this study, marketers can promote short-haul performance, as it will lead to EC adoption for consumers with affiliative motives.

This study ties together two lines of research on the adoption of EC, exploring EC attributes and examining consumers’ motivation to choose EC, especially Millennials and Gen Z. In this way, EC attributes facilitate the fulfillment of consumers’ needs and promote EC adoption intention.

Drawing from conservation of resources (COR) and regulatory fit theories, this paper aims to propose and examine moderated mediation model of service innovative behavior among salespeople.

The hypothesized links were gauged based on time-lagged and multiple sources of data collected from salespeople and their supervisors in a large-scale multi-brand retail firm.

The hypothesized relationships were confirmed, and the moderated mediation model proposed in this paper was viable. Results suggest that person–job (P-J) fit boosts salespeople’s service innovative behavior, and intrinsic motivation (INTMOT) mediates this relationship. Promotion focus strengthens the positive influence of P-J fit on salespeople’s INTMOT. More importantly, promotion focus moderates the indirect positive link between P-J fit and service innovative behavior through INTMOT.

This research enhances the current knowledge by assessing promotion focus as a moderator of the impact of P-J fit on service innovative behavior via INTMOT among salespeople. To the best of the authors’ knowledge, there is no established research examining the abovementioned links in the sales literature.