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This study addresses the production optimization of a cellular manufacturing system (CMS) in magnetic production enterprises. Magnetic products and raw materials are more critical to transport than general products because the attraction or repulsion between magnetic poles can easily cause traffic jams. This study needs to address a method to promote the scheduling efficiency of the problem.

To address this problem, this study formulated a mixed-integer linear programming (MILP) model to describe the problem and proposed an auction and negotiation-based approach with a local search to solve it. Auction- and negotiation-based approaches can obtain feasible and high-quality solutions. A local search operator was proposed to optimize the feasible solutions using an improved conjunctive graph model.

Verification tests were performed on a series of numerical examples. The results demonstrated that the proposed auction and negotiation-based approach with a local search operator is better than existing solution methods for the problem identified. Statistical analysis of the experiment results using the Statistical Package for the Social Sciences (SPSS) software demonstrated that the proposed approach is efficient, stable and suitable for solving large-scale numerical instances.

An improved auction and negotiation-based approach was proposed; The conjunctive graph model was also improved to describe the problem of CMS with traffic jam constraint and build the local search operator; The authors’ proposed approach can get better solution than the existing algorithms by testing benchmark instances and real-world instances from enterprises.

Considering the limited understanding of determinants influencing the adoption of smart mobile tourism app (SMTA) featuring augmented reality (AR) and big data analytics (BDA), privacy concern (PC) and the risk of privacy information disclosure (PI) have threatened SMTA adoption. This study aims to propose an expanded consumer acceptance and use of information technology (UTAUT2) model by including new contextual components, integrated with privacy calculus theory (PCT) model to examine the determinants influencing behavioural intention (BI) to use SMTA.

Personal innovativeness (IN) and privacy information disclosure (PI) are incorporated in UTAUT2 model to determine its effect on SMTA featuring AR and BDA technologies from smart perspective. Both privacy concern (PC) and privacy risk (PR) derived from PCT model are also included to determine its influences on an individual's willingness to disclose privacy information for better-personalised services. We collected responses from 392 targeted participants, resulting in a strong response rate of 84.66%. These responses were analysed statistically using structural equation modeling in both SPSS 22.0 and SmartPLS 3.0.

Findings showed that personal innovativeness (IN), habit (HT) and performance expectancy (PE) significantly affect behavioural intention (BI) while privacy concern (PC) significantly affect privacy information disclosure (PI) to use SMTA. In contrast, effort expectancy (EE), hedonic motivation (HM) and privacy information disclosure (PI) had no significant effects on behavioural intention (BI) while privacy risk (PR) had no significant effects on privacy information disclosure (PI) to use SMTA.

The study findings help tourism practitioners in better comprehending recent trends of SMTA adoption for establishing targeted marketing strategies on apps to improve service quality. In addition, it enables app development companies acquire app users’ preferences to enhance their app development for leading app usage.

This study aims to explore the associations between leadership styles (i.e. transformational and ethical) and innovative work behavior within higher education institutions (HEIs), additionally investigating the mediating role of work engagement and the moderating role of psychological empowerment.

The basis of this study rested upon adopting a cross-sectional research framework. The data were acquired from a sample comprising 825 academic staff and 275 leaders across 226 HEIs in China. Employing a quantitative methodology, the researchers used AMOS version 26.0 and SPSS version 22.0 for statistical analysis.

The results indicated that leadership styles (i.e. transformational and ethical) positively affected innovative work behavior, both directly and indirectly (via work engagement). Also, psychological empowerment moderated the linkage between leadership styles and innovative work behavior but not the association between work engagement and innovative work behavior.

Despite some existing literature having discussed the correlation between leadership styles and innovative work behavior, there appears to be a conspicuous dearth of research endeavoring to explore the mediator (i.e. work engagement) and the moderator (i.e. psychological empowerment) within the above nexus, especially in the context of HEIs. Thus, this study can be considered original, introducing novel perspectives and substantial contributions to the management literature on HEIs. In addition, it offers insights for organizational managers.

Drawing from resource orchestration theory, this research proposed an integrative model that leverages insights into counter resource constraints and uncertainty in start-up business model innovation (BMI). It investigated the influences of entrepreneurial networks and effectuation on BMI through bricolage in uncertain environments.

The research surveyed 481 start-ups in China. LISREL 8.80 and SPSS 22.0 were employed to test the validity and reliability of key variables, respectively. Additionally, hypotheses were examined through multiple linear regression.

First, entrepreneurial networks and effectuation were positively related to BMI, and combining these two factors improved BMI for start-ups. Second, bricolage contributed to BMI and played mediating roles in translating entrepreneurial networks and effectuation into BMI. Third, environmental uncertainty weakened the linkage between bricolage and BMI.

Future research should replicate the results in other countries because only start-ups in China were investigated in the study, and it is necessary to extend this research by gathering longitudinal data. This research emphasized the mediating effects of bricolage and the moderating influence of environmental uncertainty, and new potential mediating and moderating factors should be explored between resources and BMI.

There are three significant theoretical contributions. First, the findings enrich the literature on the complex antecedents of BMI by combining the impacts of entrepreneurial networks and effectuation. Second, an overarching framework is proposed explaining how bricolage (resource management) links entrepreneurial networks and effectuation and BMI. Third, it demonstrates the significance of environmental uncertainty in the bricolage–BMI linkage, deepening the understanding of the bricolage boundary condition.

This study investigates why employees' cyber-loafing is affected by work-related computing at home. Based on the self-determination theory, the authors propose the mediating role of sense of control and the moderating role of work/family segmentation preference.

To test the authors' hypotheses, the authors conducted a multi-wave, multi-source field study with 224 paired employee-leader dyads at three time points. The hypotheses were tested by the SPSS macro application in Hayes (2018) with a bootstrap approach to obtain confidence intervals.

The work-related computing at home promotes employee cyber-loafing as compensation for their impaired sense of control. Moreover, such a relationship is stronger for employees with a stronger desire for self-control (i.e. high work/family segmentation preference).

This study reveals the underlying mechanism linking the work-related computing at home and employee cyber-loafing, as well as the boundary condition of this relationship. Specifically, sense of control serves as a vital mechanism and work/family segmentation preference as a key boundary condition. In addition, the authors enrich the application of self-determination theory in management research.

Those who believe they excel at architecture or engineering education are more likely to succeed based on self-efficacy principles. To investigate educator self-efficacy and success in the Online Learning Environment (OLE), a set of relationships are observed which describe correlations between experience and potential.

An online survey instrument was distributed the fall after COVID-19 university closures. Respondents were asked to reflect on their level of experience teaching and their ability to teach online. All analyzed data were subjected to descriptive and inferential statistics using the SPSS 22.0 statistical software package. The compatibility of the variables with normal distribution was tested using the Kolmogorov–Smirnov and Shapiro–Wilk methods. Variables comparisons were performed using non-parametric tests (Kruskal Wallis test, Mann Whitney U test). The relationships between quantitative variables were examined using the Spearman Rank Correlation and comparisons formed from the qualitative variables were tested using the Pearson Chi-Square and Fisher Exact methods.

Educator self-efficacy was determined throughout the COVID-19 transition. Possessing online teaching experience is related to the perceptions that architectural education can be delivered entirely online. A relationship was found for educators who previously taught using OLE and who had experience with delivering and developing OLE.

It is incumbent on educators and administrators to continue to learn how to best accommodate student learning. The strong relationship for R1: Total teaching experience (IV) and perceptions of whether AEC education can be delivered completely online, points to having educators with a depth of experience and being open to change. The strong relationship shown for R2: Have you ever taught using an online method before January 2020 and Experience in developing online materials demonstrates that a variety of experience will also support educators in a time of change. These relationships illustrate how educator efficacy can provide support for educators during times of crisis.

U.S. Architectural and Architectural Engineering educator pandemic OLE self-efficacy has not been previously been a focus of research efforts. This research adds to the body of knowledge by demonstrating how relationships between teaching experience and OLE can encourage educator self-efficacy during a crisis. Statistical analyses found a strong relationship between total teaching experience and perceptions that AEC education can be delivered completely online. A strong relationship was found between online teaching experience and positive experiences in developing online materials.

Interorganizational power dependence has become an increasingly important factor for small and medium-sized enterprises (SMEs) to improve product innovation. This paper examines the role of power dependence in SMEs' product innovation trade-offs between exploration and exploitation. The article further studies the mediating effect of supply chain adaptability and the moderating effect of knowledge acquisition on the relationship between power dependence and product innovation.

The study proposes a model to verify the impact of power dependence on SMEs' product innovation trade-offs based on social network theory. Two conceptually independent constructs, “availability of alternatives (ALTRN)” and “restraint in the use of power (RSPTW),” are used to evaluate the power dependence. The model also analyzed how these effects are mediated by supply chain adaptability and moderated by knowledge acquisition. The authors test these relationships using data collected from 224 SMEs in China.

The empirical analysis shows that ALTRN has a more substantial effect on exploration for product innovation, while RSTPW has a more significant impact on exploitation for product innovation. Moreover, empirical data indicate a partial mediating effect by supply chain adaptability between power dependence and product innovation of SMEs. The results also show that knowledge acquisition positively moderates the relationship between ALTRN/RSTPW, supply chain adaptability and product innovation.

Overall, the findings of the study advance the understanding of the roles of power dependence in product innovation for SMEs. In addition, the research also uncovers the impact mechanisms of existing theoretical frameworks and extends the boundaries of the theory.

This study aimed to investigate the underlying boundary conditions under which boundary-spanning behaviour has a positive or negative effect on innovative behaviour.

A multi-wave and multi-source research design was adopted to collect data. Data were analysed using the multilevel structural equation modelling and latent moderated structural equation approach.

The results showed that boundary-spanning behaviour was significantly and negatively associated with employees' innovative behaviour via ego depletion when employees' intrinsic motivation or organisational support was low. Additionally, boundary-spanning behaviour was significantly and positively associated with employees' innovative behaviour via ego depletion when employees' intrinsic motivation or organisational support was high.

This research suggests that the consequences of boundary-spanning behaviour are conditional, explaining the contrasting conclusions in this regard.

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.

With the continuous development of the global COVID-19 epidemic, mobile learning has become one of the most significant learning approaches. The mobile learning resource is the basis of mobile learning; it may directly affect the effectiveness of mobile learning. However, the current learning resources cannot meet users' needs. This study aims to analyze the influencing factors of accepting open data as learning resources among users.

Based on the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT), this study proposed a comprehensive theoretical research model. Data were obtained from 398 postgraduates from several universities in central China. Confirmatory factor analysis was used to determine the reliability and validity of the measurement model. Data has been analyzed using SPSS and AMOS software.

The results suggested that perceived usefulness, performance expectancy, social influence and facilitating conditions have a positive influence on accepting open data as learning resources. Perceived ease of use was not found significant. Moreover, it was further shown in the study that behavioural intention significantly influenced the acceptance of open data as learning resources.

There is a lack of research on open data as learning resources in developing countries, especially in China. This study addresses the gap and helps us understand the acceptance of open data as learning resources in higher education. This study also pays attention to postgraduates' choice of learning resources, which has been little noticed before. Additionally, this study offers opportunities for further studies on the continuous usage of open data in higher education.