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This paper aims to investigate the differential effects of vertical attributes and horizontal attributes on visit intention under proximal and distal sensory imagery in travel live streams.

This research used a multimethod approach with four studies. Three designed experiments were first employed to prove casual relations of the hypothesized relations. Then, a structural model provided a new sample of the framework.

The results suggest that visit intention is higher when vertical (vs horizontal) attributes are associated with proximal (vs distal) sensory imagery. Physical presence mediates the interaction effects between attribute type and sensory imagery on visit intention.

The finding offers suggestions for multilateral information providers' capability of real-time advertising, seller-focused technology development and proactive relationship management with potential consumers.

Previous study is less sufficient to describe consumers' traveling interactivities in live-streaming media, where streamers are capable of modifying attribute-based messages and sensory modalities. Rather than focusing on imagery as a comprehensive modality or visual-dominated imagery, this study examines the interaction effects between attribute type and sensory imagery on visit intention. Drawing on reason-based choice and distance-on-distance theories, the finding enriches the evaluation of the effectiveness of live-streaming marketing across varying sensory interactions.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

This study aims to investigate the cognitive factors and e-social interactions that influence the green purchase intention of Vietnamese consumers.

This study conducted the survey with 453 samples of young consumers in Vietnam, using the partial least squares structural equation modeling approach to evaluate the measurement quality to deal with research objectives.

The findings of this study demonstrate that cognitive factors positively impact green purchase intentions in Vietnam. Moreover, the analysis revealed that the attitude variable played a mediating role in this model, whereas the social norms factor did not.

This study presents several valuable findings on the green purchase intentions of young Vietnamese consumers. Therefore, the results can potentially advance and strengthen green purchasing theories in the Vietnamese market. Moreover, the recommendations indicate that cognitive factors and e-social interactions are crucial in shaping green purchasing intentions among Vietnamese consumers. Thus, it is suggested that the firms in the Vietnamese market focus on green marketing based on leveraging these factors.

This work provides a valuable contribution to the knowledge related to cognitive and e-social interactions among young Vietnamese consumers. It demonstrates the significant impact of these elements on green purchase intentions through e-commerce.

The paper aims to identify and analyze passengers’ riding paths for providing better operational support for digital transformation in megacity metro systems.

The authors develop a method to leverage certain passengers’ deterministic riding paths to corroborate other passengers’ uncertain paths. Using Automatic Fare Collection data and train schedules, a witness model is built to recover the actual riding paths for passengers whose paths are unknown otherwise. The identification and analysis of passenger riding paths between three different types of origin–destination) pairs reveal the complexity of passenger path choice.

The results show that passenger path choice modeling is usually characterized by complexity, experience and partial blindness. Some passengers choose paths that are not optimal due to their experience and limited access to overall metro system information. These passengers could be the subject of improved path guidance in light of riding efficiency improved through digital transformation.

This research contributes to the improvement of metro management and operations by leveraging ongoing digital transformation in megacity metro systems. Based on the riding paths and trip chains of a large number of individual passengers identified by the proposed method, metro operation management could prevent risks in areas with concentrated passenger flow in advance, optimally adjust train schedules on a daily basis and deliver real-time riding guidance station by station, which would greatly improve megacity metro systems’ service safety, quality and operational efficacy over time.

Drawing upon the creativity interaction theory and expectation-identity perspective, the purpose of this paper is to construct a chain mediation model of the influence of workplace status on individual creativity from the perspective of expectation identity and to explore the moderating effect of prosocial motivation in this model.

This study reached 529 employees from 35 enterprises as the investigation objects and used structural equation model and hierarchical regression for data analysis. Data on workplace status, prosocial motivation, creativity expectations and creativity role identity were collected at Time Point T1, and individual creativity was collected at time point T2 (one month later).

The results reveal that: workplace status has a significantly positive effect on creativity; creativity performance expectations and creativity role identity have partial mediating effect in the relationship between workplace status and creativity, respectively; creativity performance expectations and creativity role identity play a chain double mediation role in the relationship between workplace status and creativity; and prosocial motivation moderates the relationship between workplace status and creativity and further moderates the chain double mediation effect of creativity performance expectations and creativity role identity.

In existing studies, conclusions about the relationship between workplace status and individual creativity could be divided into three viewpoints: positive, negative and U-shaped. These inconsistent findings on the relationship between workplace status and creativity imply that the relationship is complex and not fully elucidated. This may be attributed to the fact that workplace status is influenced by cultural factors and research objects. This study reinterprets the relationship between workplace status and individual creativity through the lens of creativity interaction theory and demonstrates the significance of employee workplace status in the Chinese context.

This policy review paper is an analysis of the Double Reduction Policy (DRP) of China that was promulgated in July 2021. It looks into its rationale as well as different stakeholders' early reactions to the policy.

Critical policy analysis (CPA) method was used to identify (1) the artefacts, such as language, objects and acts, that were significant carriers of the DRP; (2) communities of meaning, interpretation, speech and practice that are relevant to the DRP and its implementation; (3) the local discourses relevant to the DRP; and (4) the tension points and their conceptual sources (affective, cognitive and/or moral) by different DRP stakeholders. As per the comparative education field, this paper compares the pre-DRP and post-DRP periods to tease out how the policy affects different stakeholders of education.

The DRP in China could be attributed to diverse factors such as demography, socialist economic and developmental visions and manpower structure. The implementation of the DRP has generated uneven reactions among different stakeholders and geographical regions both in speed and scale. While education stakeholders have no choice but to adopt the policy, they face challenges derived from a sudden halt of private educational resources and subsequent increased duties of parents and schools.

The significance of this early policy analysis lies in offering an insight into education development in China by analysing and deliberating the DRP from different perspectives.

This study aims to uncover apple preference and consumption in Indonesia, to disclose the risk of non-halal contamination of apples and the importance of maintaining the halal integrity of apples along the supply chain and to uncover the impacts of food miles of apples along supply chain segmentation.

This study adopted mixed research methods under a fully mixed sequential dominant status design (QUAN → qual). Data were collected through a survey in some Indonesian provinces (N = 396 respondents). Samples were collected randomly from individual consumers. The qualitative data were collected through interviews with 15 apple traders in Indonesia. Data were analysed using crosstab, chi-square and descriptive analysis.

First, Muslim consumers believe in the risk of chemical treatment of apples because it can affect the halal status of apples. Second, Indonesian consumers consider the importance of halal certification of chemical-treated apples and the additives for apple treatments. Third, the insignificance of domestic apple preference contributes to longer food miles at the first- and middle-mile stages (preference for imported apples). Fourth, apple consumption and shopping distance contribute to the longer food miles problem at the last-mile stage. Fifth, longer food miles have negative impacts, such as emissions and pollution, food loss and waste, food insecurity, financial loss, slow development of the local economy and food unsafety.

This research has implications for the governments, farmers, consumers (society) and business sectors.

This study proposes a framework of food miles under a halal supply chain (halal food miles) to reduce the risk of food miles and improve halal integrity. The findings from this research have theoretical implications for the development of the food mile theory, halal food supply chain and green supply chain.

The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to examine whether media richness (MR), human-system interaction (HSI) and human-human interaction (HHI) as technological feature antecedents to medical professionals’ learning engagement (LE) can affect their learning persistence (LP) in massive open online courses (MOOCs).

Sample data for this study were collected from medical professionals at six university-/medical university-affiliated hospitals in Taiwan. A total of 600 questionnaires were distributed, and 309 (51.5%) usable questionnaires were analyzed using structural equation modeling in this study.

This study certified that medical professionals’ perceived MR, HSI and HHI in MOOCs positively affected their emotional LE, cognitive LE and social LE elicited by MOOCs, which together explained their LP in MOOCs. The results support all proposed hypotheses and the research model accounts for 84.1% of the variance in medical professionals’ LP in MOOCs.

This study uses the S-O-R model as a theoretical base to construct medical professionals’ LP in MOOCs as a series of the psychological process, which is affected by MR and interaction (i.e. HSI and HHI). Noteworthily, three psychological constructs, emotional LE, cognitive LE and social LE, are adopted to represent medical professionals’ organisms of MOOCs adoption. To date, hedonic/utilitarian concepts are more commonly adopted as organisms in prior studies using the S-O-R model and psychological constructs have received lesser attention. Hence, this study enriches the S-O-R model into an invaluable context, and this study’s contribution on the application of capturing psychological constructs for completely explaining three types of technological features as external stimuli to medical professionals’ LP in MOOCs is well-documented.

Focusing on the social influence processes in the context of massively multiplayer online role-playing games (MMORPGs), this study aims to investigate the nomological network of social influence factors, a topic seldom explicitly articulated in the literature in this unique context.

This study adopts a mixed-methods approach to develop and test a context-specific model of social influence processes in MMORPGs. First, the authors conducted qualitative interviews with MMORPG players to identify the drivers shaping players' perceptions of social influences. Second, the authors formulated and tested a research model with quantitative data collected from 450 respondents of an online survey.

Through the qualitative study, the authors identify leader enthusiasm, social support and social presence as the critical drivers of social influence factors. The result of the quantitative study validates the influences of the critical drivers and demonstrates the impact of social influences on MMORPG players' we-intention to continue playing games.

This research extends the social influence theory by identifying contextualized drivers that shape MMORPG players' perception of social influences determining their we-intention to continue playing games. MMORPG service providers can draw on these drivers to leverage social influences to increase players' we-intention of continuance.

Energy conservation and environmental protection industry (ECEPI) is a strategic choice to promote energy conservation and emission reduction, develop green economy and circular economy. However, China’s ECEPI is still in the stage of rapid development and the overall scale is relatively small, what development periods have the ECEPI experienced? This study aims to contribute to a better understanding of collaborative innovation evolution based on social network analysis from the perspective of multi-dimensional proximity.

Methodologically, this study uses social network analysis method to explore the co-evolution of multidimensional collaboration networks. It divides China’s ECEPI into four periods based on national policies from 2001 to 2020. This contribution constructs collaborative innovation networks from geographical, technological and organizational proximity.

The results show that the collaborative innovation network was initially formed in the central region of China, gradually expanded to neighboring cities and the core positions of Beijing, Jiangsu and Guangdong have been continuously consolidated. C02F has been the core of the collaboration networks, and the research focus has gradually shifted from the treatment of wastewater, sewage or sludge to the separation field. Enterprises always occupy a dominant position in the collaboration networks.

This research investigates the dynamic evolution process of collaborative innovation network in China’s ECEPI from the perspective of multidimensional proximity, explores the community structure, important nodes and multidimensional proximity features in the network, expands the research perspective on evolution characteristics of innovative network and the research field of social network analysis. Theoretically, this study enriches collaborative innovation theory, social network theory and multi-dimensional proximity theory.