Search results

With the uptake of prefabricated construction (PC) facing serious obstacles in China, networked innovation can break the technical constraints while also containing the risks in individual innovation. However, the construction community has paid little attention to PC innovation, especially networked innovation. This study aims to gain deep insights into what impacts the formation and dynamics of a prefabricated construction innovation network (PCIN). With the uptake of PC facing serious obstacles in China, networked innovation can break the technical constraints while also containing the risks in individual innovation.

The research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. It first conceptualizes the PCIN based on the quadruple helix model and formulates a corresponding system dynamics model based on causality analysis. After validating the PCIN model using empirical data, simulations are carried out using Vensim PLE software. Finally, this study identifies key factors that promote the formation of PCIN in China through sensitivity analysis.

The results show that PC predicts a continuous increase in practice as of 2030. The tested drivers all positively influence the formation of the PCIN, with market demand and risk sharing having the greatest influence, followed by competitive pressure, profit government support, scientific and technological advancement and collaborative innovation strategy.

The study makes three major contributions. First, it provides a novel angle for a deeper understanding of the PC innovation. Second, it proposes a new approach for probing the formation and dynamics of the PCIN. Finally, it offers a theoretical reference for promoting the formation of innovation networks and the development of PC.

The purpose of this research is to explore how an innovation organization's orientation toward the digital economy influences its position within R&D networks. By using institutional theory, the study aims to forecast market changes and understand how organizations can navigate the digital economy to secure essential resources and minimize dependencies.

This study employs a longitudinal panel dataset with 11,763 entries from 1995 to 2018, covering strategic emerging industries in China to analyze the impact of digital economy orientation on R&D networks. Utilizing advanced statistical models, it assesses the role of the legal environment as a moderator. This methodological approach facilitates a robust examination of the nexus between digital orientation and network dynamics within the context of institutional theory.

The study reveals that an organization's digital economy orientation enhances its centrality in R&D networks but reduces its control over structural holes. The legal environment negatively moderates the impact of digital economy orientation on network centrality, while positively influencing the relationship with network structural holes. These findings offer new insights into how institutional forces shape the strategic positioning of organizations in R&D collaborations.

This research offers a fresh perspective on the digital economy's impact on R&D networks, particularly in the Industry-University-Research (IUR) context. It extends the discourse by integrating institutional theory to elucidate the adaptation of R&D networks in the digital era. By identifying the legal environment as a moderator, the study provides a nuanced understanding of the strategic alignment within networks influenced by digital advancements. The unique focus on China's R&D networks presents a valuable contribution to the global discussion on digital integration and innovation ecosystems, highlighting the intersection of policy, academia, and industry in shaping research and development trajectories.

With the rapid development of social media, many organizations have begun to attach importance to social media platforms. This research studies the management and the use of social media in academic music libraries, taking the Center for Chinese Music Studies of the Chinese University of Hong Kong (CCMS) as a case study.

We conducted a sentiment analysis of posts on Facebook’s public page to analyze the reaction to the posts with some exploratory analysis, including the communication trend and relevant factors that affect user interaction.

Our results show that the Facebook channel for the library has a good publicity effect and active interaction, but the number of posts and interactions has a downward trend. Therefore, the library needs to pay more attention to the management of the Facebook channel and take adequate measures to improve the quality of posts to increase interaction.

Few studies have analyzed existing data directly collected from social media by programming based on sentiment analysis and natural language processing technology to explore potential methods to promote music libraries, especially in East Asia, and about traditional music.

This study examines the impact of corporate governance on succession planning and organizational performance. Drawing on agency theory, the main purpose of this study is to identify the effect of corporate governance on succession planning by measuring the different characteristics of the board of directors.

This multi-quantitative research used primary and archival data. A total of 281 valid questionnaires were collected from Chinese listed family firms to gauge succession planning. Relevant archival data were obtained to measure board characteristics and organizational performance. All hypotheses were examined through structural equation modeling.

The outcomes indicate that corporate governance positively influences succession planning and, in turn, boosts superior organizational performance, which uncovers the mediating effect of succession planning on the relationship between corporate governance and organizational performance. Our findings reveal that board independence and education facilitate the development of succession planning, which is crucial in the family business’s life cycle.

The results of this study contribute to management succession, strategic management and leadership research by demonstrating how corporate governance fosters organizational performance through succession planning, thereby expanding the application scenarios of agency theory in family firms. Additionally, the article also enriches our understanding of how family businesses apply sound governance structures to promote organizational strategic decision-making during the succession process.

Integrating green (sustainable) practices in logistics management play a crucial role in accelerating the transition to a circular economy, realizing its sustainability potential and position in the net zero emission target by 2050. Over the past decade, this integration has attracted significant attention in both academic and industrial discourse. Despite the increasing recognition of the benefits of green logistics practices (GLPs), only a few firms have implemented green-oriented or sustainable logistics practices; hence, a comprehensive understanding of what could drive its implementation as well as how and when firms can benefit from GLPs is of key importance for theory, policy and practice. Drawing on dual theoretical lenses, this study investigated how supply chain ethical leadership (SCEL) could stimulate green logistics practices by building green core competencies (GCC) under varying conditions of corporate green culture (CGC).

An integrated model motivated by social learning and contingency theories was tested using responses from 208 managers of logistics firms in Ghana. SPSS 23 and covariance-based structural equation modeling (CB-SEM) were used for data analyses.

Both SCEL and GCC significantly influenced GLPs. The findings also showed that GLPs significantly enhanced carbon-neutral supply chain performance (CNSCP). The results further showed that GCC mediates the SCEL–GLPs link. We also found that the effect of SCEL on GLPs was amplified at a high level of CGC.

This study offers fresh insight into how managers can leverage SCEL to support GLP and when they can also combine green competence and green culture to achieve enhanced benefits in the form of carbon-neutral SCP. This further implies that building ethical leadership and competencies alone may not be sufficient to drive superior emission reduction and subsequent sustainability; rather, cultivating a green-oriented culture that values sustainable logistics is crucial to fully realize the potential of ethical leadership and competencies in enabling the implementation of GLPs and subsequently enhancing carbon-neutral SCP.

The novelty of the present study lies in the integration of social learning and contingency theories to unearth the mechanism and conditional roles of green competence and green culture in optimizing the SCEL–GLPs–GLP relationship. The study is also among the few attempts to shed light on how firms can leverage GLPs to enhance carbon-neutral supply chain performance, which is rare.

The COVID-19 pandemic brought uncertain working patterns in a volatile, uncertain, complex and ambiguous world wherein unleashing power of knowledge became prototypical for real-time decision-making capacity of organizational workforce. Drawing from Vroom’s expectancy theory, this study aims to investigate whether shared leadership (SL) mediates the impact of perceived fairness of rewards (PFR) on knowledge capitalization (KC).

A survey of 484 employees in the Indian real estate industry was completed in two phases. Confirmatory factor analysis and structured equation model were applied for analysis and hypothesis testing.

PFR positively affected employee’s KC in Indian real estate industry. Also, SL partially mediated the effect of PFR on KC.

This study indicates the positive impact of PFR on employees’ KC and demonstrates position of SL for boosting its occurrence in organizations.

To the best of the authors’ knowledge, this paper is the first to investigate the mediating role of SL between relationship of PFR and KC of employees.

The purpose of this study was to examine the relationship between environmental pressure, green logistics strategy (GLS) and sustainability performance as well as the moderating role of competitive intensity in the relationship between environmental pressure and GLS in the context of the Ghanaian Manufacturing firms.

The study included a thorough review of the literature and an empirical questionnaire-based data collection with responses from 220 participant manufacturing firms in Ghana. The data collected was statistically analysed using the PLS-SEM software.

The findings of the study indicated that environmental pressure positively influences the implementation of GLS. Again, it was revealed that there is a significant relationship between GLS and sustainability performance. Likewise, the study also found that environmental pressure significantly influences sustainability performance. Also, competitive intensity was found to moderate the relationship between environmental pressure and GLS.

This study gives insight into GLS and sustainability performance and also suggested that when managers in manufacturing industries adopt green practices as a result of environmental pressure, sustainability performance will be achieved. The geographic scope of the study area and time constraints were some of the research's limitations.

Although there have been studies carried out on the subject of green logistics, this study is the first of its kind to examine the relationship between environmental pressure, GLS and sustainability performance within the context of developing economies such as Ghana. Also, this study shows how intense competition in the market can moderate the adoption of GLS.

The research objective was to check the impact of industry 4 (I4) technologies on environmental sustainability (ENS) with the mediating role of green supply chain management (GSCM) of textile companies in Saudi Arabia.

Data was collected from those respondents who were linked with management and also have knowledge of I4 technologies. The researchers distributed 500 questionnaires among respondents for data collection, 350 questionnaires were received, and used for analysis. The researchers employed the quantitative research approach and cross-sectional research design.

The results indicate that I4 has a positive effect on ENS and GSCM practices except for green purchasing where I4 has an insignificant impact on green purchasing. On the other hand, GSCM practices also significantly mediate between I4 and ENS except for green purchasing which has an insignificant mediating effect.

This study has a great theoretical contribution to literature as it provides strategic insight to managers as well as policymakers. From the perspective of resource-based view, this study is supportive to use I4 technology practices in GSCM. Furthermore, the current research suggests managers to implement I4 technologies and adopt the GSCM practices. These practices should be part of environmental strategies. The implementation of these practices will assist in building a strong reputation and satisfaction of customers and to fulfill the requisites of stakeholders.

The research was conducted with the extended framework of the mediating effect of GSCM between I4 and ENS of Saudi Arabia textile companies which are considered to be a pioneer study in the extant literature.