Search results

This paper explores the engagement of architecture and design-related disciplines within the built environment with social media. The study aims to identify key themes, assess the methodologies used and compare the approaches across different disciplines.

The research employs a semi-systematic literature review coupled with thematic analysis. This approach allows for a comprehensive examination of existing studies, identifying key themes, trends and gaps in the current knowledge base. Through this methodology, the paper synthesises diverse perspectives and insights from a wide range of sources.

Social media data is a valuable tool for understanding architecture and the built environment, but there is a significant divergence in methodologies across disciplines. There is a growing advocacy for mixed-method approaches that would benefit from critical engagement with data that’s underpinned by theoretical frameworks. Such approaches enhance research robustness, support multidisciplinary collaboration and improve the applicability of social media data in design practices.

Despite the proliferation of literature on social media and the built environment, there remains a lack of nuanced understanding regarding thematic variations within individual design disciplines and the specific research methodologies they employ. This paper critically reviews existing research to offer current insights, research gaps and potential future research directions on social media and architecture/design-related disciplines in the built environment.

This study aims to investigate the impact of blockchain use on the performance of supply chain in the high-tech industry and to elucidate the main factors that drive managers to adopt blockchain in high-tech firms.

This study adopts the unified theory of acceptance and usage model and extends it with external constructs such as “Trust,” “Technology Readiness,” “Compatibility” and “Awareness.” The paper uses a quantitative and exploratory approach, collecting and analyzing data from 250 high-tech firms worldwide, using the partial least squares structural equation modeling approach.

The findings emphasize the strategic importance of blockchain for supply chain performance in these firms. Furthermore, the results indicate that facilitating conditions, ease of use, technology readiness, compatibility and subjective norms are key enablers for blockchain adoption in high-tech firms.

This research advances the literature on technology adoption in the supply chain field, with special focus on blockchain. The field is strengthened by investigating the determinants and barriers to adopting technology within high-tech firms, emphasizing the necessity of developing blockchain literacy for successful international transactions.

The paper aims to elucidate effective strategies for promoting the adoption of green technology innovation within the private sector, thereby enhancing the value of public–private partnership (PPP) projects during the operational phase.

Utilizing prospect theory, the paper considers the government and the public as external driving forces. It establishes a tripartite evolutionary game model composed of government regulators, the private sector and the public. The paper uses numerical simulations to explore the evolutionary stable equilibrium strategies and the determinants influencing each stakeholder.

The paper demonstrates that government intervention and public participation substantially promote green technology innovation within the private sector. Major influencing factors encompass the intensity of pollution taxation, governmental information disclosure and public attention. However, an optimal threshold exists for environmental publicity and innovation subsidies, as excessive levels might inhibit technological innovation. Furthermore, within government intervention strategies, compensating the public for their participation costs is essential to circumvent the public's “free-rider” tendencies and encourage active public collaboration in PPP project innovation.

By constructing a tripartite evolutionary game model, the paper comprehensively examines the roles of government intervention and public participation in promoting green technology innovation within the private sector, offering fresh perspectives and strategies for the operational phase of PPP projects.

This study aimed to facilitate a rapid evaluation of track service status and vehicle ride comfort based on car body acceleration. Consequently, a low-cost, data-driven approach was proposed for analyzing speed-related acceleration limits in metro systems.

A portable sensing terminal was developed to realize easy and efficient detection of car body acceleration. Further, field measurements were performed on a 51.95-km metro line. Data from 272 metro sections were tested as a case study, and a quantile regression method was proposed to fit the control limits of the car body acceleration at different speeds using the measured data.

First, the frequency statistics of the measured data in the speed-acceleration dimension indicated that the car body acceleration was primarily concentrated within the constant speed stage, particularly at speeds of 15.4, 18.3, and 20.9 m/s. Second, resampling was performed according to the probability density distribution of car body acceleration for different speed domains to achieve data balance. Finally, combined with the traditional linear relationship between speed and acceleration, the statistical relationships between the speed and car body acceleration under different quantiles were determined. We concluded the lateral/vertical quantiles of 0.8989/0.9895, 0.9942/0.997, and 0.9998/0.993 as being excellent, good, and qualified control limits, respectively, for the lateral and vertical acceleration of the car body. In addition, regression lines for the speed-related acceleration limits at other quantiles (0.5, 0.75, 2s, and 3s) were obtained.

The proposed method is expected to serve as a reference for further studies on speed-related acceleration limits in rail transit systems.

The purpose of this study is to investigate the impact of corporate social responsibility (CSR) on innovation performance and examine the moderating role of social media strategic capability and big data analytics capability. Specifically, the authors explore the effects of both external and internal CSR on innovation performance.

The authors collected data from 221 senior, middle and research and development (R&D) managers of high-tech firms in China, using a questionnaire survey with a six-month interval.

The empirical results show that both external and internal CSR positively influence innovation performance. Furthermore, social media strategic capability has a positive moderating effect on the relationship between CSR and innovation performance, while big data analytics capability moderates the relationship between external CSR and innovation performance.

The data comes from high-tech firms in China, which may limit the generalizability and external validity of the findings. Future studies should replicate this study in other industries and types of organizations.

The study suggests that high-tech firms should engage in both external and internal CSR activities to promote innovation performance. Moreover, leveraging social media strategic capability and big data analytics capability can enhance innovation performance.

This study contributes to the literature on CSR outcomes by empirically exploring the effects of external and internal CSR on innovation performance, thus extending stakeholder theory. Additionally, by revealing the contingency effects of social media strategic capability and big data analytics capability, this study enriching the research on dynamic capabilities theory in the context of digital transformation.

This study attempts to uncover the nonlinear relationship between public procurement and corporate total factor productivity (CTFP), and investigates the mediating roles of R&D investment and rent-seeking cost. Additionally, it conducts a heterogeneity analysis for firms with varying levels of political connections and corporate social responsibility (CSR).

Employing Ordinary Least Squares (OLS) and Olley-Pakes (OP) methods, the authors gauge CTFP and manually identify government customers to quantify public procurement. Leveraging panel data from Chinese listed companies, this study explores the relationship between public procurement and CTFP.

This study unveils a U-shaped relationship between public procurement and CTFP, highlighting R&D investment and rent-seeking costs as potential mechanisms. Furthermore, it identifies heterogeneous effects among companies with varying levels of political connections and CSR on the relationship between public procurement and CTFP, including their mediating effects.

This research enhances understanding of demand-side policies and provides crucial insights for the government to further improve public procurement policies.

By offering empirical evidence of how public procurement impacts CTFP, this paper enriches the literature on the behavioral repercussions of public procurement and the determinants of CTFP. It also overcomes the “black box” of the mechanism between public procurement and CTFP, based on the government’s dual role as a pathfinder and customer of enterprises. It broadens the application scenarios of institutional theory and principal-agent theory. Additionally, the heterogeneity analysis of firms with varying political connections and CSR extends the frontiers of related research.

This paper aims to identify Chinese consumers’ dish value systems and investigate whether and to what extent their dish values vary by type of consumers.

We used a best–worst scaling (BWS) developed based on previous literature on food values and attributes of Chinese dishes to elicit Chinese consumers’ dish value structure. Then, we estimated each participant’s share of preferences for dish values and applied Ward’s linkage cluster analysis to identify the heterogeneity of their dish values.

Our results indicate that food safety values, including the safety of agricultural products, additives and food processing, are valued most by Chinese consumers. They rate health-nutrition values as the second most important dish values. There is significant heterogeneity in Chinese consumers' dish values. Their dish values tend to drive their dish consumption patterns.

The dish is the mainstay of the Chinese meal. This study is among a few studies that examine Chinese consumers’ dish values that underlie consumer dish preferences and choices. The results provide essential information to promote a healthy and sustainable diet among Chinese consumers by understanding their values and motivations for making dish choices.

Intellectual capital is an essential intangible resource for enterprises, and different combinations of intellectual and environmental elements will produce different innovation effects. This study aims to analyze the effects of different matching combinations of intellectual capital elements and environmental uncertainty elements of firms on improving ambidextrous innovation (exploratory innovation and exploitative innovation).

Based on data from 161 listed companies in China, we employ a fuzzy set qualitative comparative analysis (fsQCA) to identify the paths that effectively promote ambidextrous innovation in enterprises.

Through group analysis, we derived five realization paths of exploratory innovation and five of exploitative innovation respectively. We further find that among these innovation realization paths, human capital plays a more prominent role in facilitating exploitative innovation, while relational capital plays a more important role in realizing exploratory innovation.

This research not only significantly contributes to the theory of ambidextrous innovation, but also helps firms identify the multiple paths of realization that trigger high-exploratory and exploitative innovation, avoiding unnecessary waste caused by resource mismatch, and providing valuable insights for firms seeking to adopt an ambidextrous innovation strategy effectively.

Reusable takeaway food containers (RTFCs) are a newly emerging green packaging choice for the takeaway industry that can effectively reduce campus solid waste but are not yet well accepted. Therefore, this study aims to identify the key factors influencing university students’ intention to choose RTFCs, seeking to enhance RTFC project management practices and contribute to developing a sustainable “green university.”

In total, 316 valid respondents from a Chinese university were surveyed for data collection. A multivariate ordered logistic regression model was used to conduct empirical analysis.

The results of this study underscore the crucial role of perceived value in the relationship between perceived green attributes and students’ intention to choose RTFCs. The positive impacts of perceived green attributes on intention are direct and indirect, through the lens of perceived value. When the value is substantial, it significantly boosts the student’s intention to choose RTFCs. Conversely, the perception of lower hygienic quality or higher returning time cost dampens this intention, with a more pronounced effect than perceived green attributes. Notably, perceived publicity activities have the most significant impact on student’s intention to choose RTFCs.

This study contributes to the understanding of promoting RTFCs, a key strategy for reducing plastic waste on campuses. The findings provide actionable recommendations for the project company and the university, offering practical ways to encourage students to use RTFCs and contribute to plastic waste reduction.

This study analyses the way various components of intellectual capital (IC), namely, human capital (HC), structural capital (SC), relational capital (RC) and innovation capital (INNC), act as mediators in the relationship between managerial ability (MA) and a firm’s ability to achieve growth.

This study employs data envelopment analysis to quantify the MA of 825 Taiwanese listed electronics companies from 2017 to 2022. The proxies of firm growth are return on asset growth, operating income growth and total asset growth. This study then utilises a three-step mediation analysis methodology to examine the relationships between MA, IC and firm growth.

Findings indicate that HC, SC, RC and INNC mediate the link between MA and firm growth. This suggests that competent managers can capitalise on the potential benefits of these investments to achieve firm growth.

Competent managers can utilise different IC investments to grow the financial performance and strength of their businesses. Managers should continually scan, secure opportunities and adjust their investments in knowledge assets in accordance with the dynamic capabilities view. That is, managers, in general, and operations managers, in particular, can implement guidelines that prioritise IC investments in the future to expedite firms’ development.

This study extends the existing frameworks that study investment variables as mediators between MA and firm outcomes. Most particularly, this study adopts four components of IC for measurement. Moreover, firm performance is measured using dynamic growth indicators rather than static measures.