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Universities across the USA are facing challenging decision-making problems amid the COVID-19 pandemic. The purpose of this study is to facilitate universities in planning disease mitigation interventions as they respond to the pandemic.

An agent-based model is developed to mimic the virus transmission dynamics on campus. Scenario-based experiments are conducted to evaluate the effectiveness of various interventions including course modality shift (from face-to-face to online), social distancing, mask use and vaccination. A case study is performed for a typical US university.

With 10%, 30%, 50%, 70% and 90% course modality shift, the number of total cases can be reduced to 3.9%, 20.9%, 35.6%, 60.9% and 96.8%, respectively, comparing against the baseline scenario (no interventions). More than 99.9% of the total infections can be prevented when combined social distancing and mask use are implemented even without course modality shift. If vaccination is implemented without other interventions, the reductions are 57.1%, 90.6% and 99.6% with 80%, 85% and 90% vaccine efficacies, respectively. In contrast, more than 99% reductions are found with all three vaccine efficacies if mask use is combined.

This study provides useful implications for supporting universities in mitigating transmissions on campus and planning operations for the upcoming semesters.

An agent-based model is developed to investigate COVID-19 transmissions on campus and evaluate the effectiveness of various mitigation interventions.

By investigating trust in the organization as a mediator and traditionality as a moderator, this study aims to examine the effect perceived organizational exploitation poses on frontline hotel employees’ service performance.

A three-wave survey that targets 219 supervisor–subordinate dyads from four Chinese hotels was conducted to test the hypotheses. The authors used SPSS 20.0 and AMOS 21.0 to analyze the data and verify the theoretical model.

This study found that perceived organizational exploitation exerts a destructive impact on frontline hotel employees’ service performance. Trust in the organization is a full mediator of the link connecting perceived organizational exploitation to service performance. Furthermore, traditionality weakens perceived organizational exploitation’s impact on trust in the organization and subsequent service performance.

The authors’ findings remind hotels to cease exploiting their employees to avoid compromising service performance. Hotels should also endeavor to instill trust among employees toward the hotel and allocate more attention to employees with lower levels of traditionality.

First, to the best of the authors’ knowledge, this study is among the first to explore the impact of perceived organizational exploitation on frontline hotel employees’ service performance. Second, this study reveals a novel mechanism underlying the connection between perceived organizational exploitation and service performance. Finally, this study identifies frontline hotel employees’ traditionality as a vital moderator that mitigates the negative relationships among perceived organizational exploitation, trust in the organization and service performance.

This study aims to investigate the mechanism of the misinformation spread based on the elaboration likelihood model and the effects of four factors – emotion, topic, authority and richness – on the depth, breadth and structural virality of misinformation spread.

The authors collected 2,514 misinformation microblogs and 142,006 reposts from Weibo, used deep learning methods to identify the emotions and topics of misinformation and extracted the structural characteristics of the spreading network using the network analysis method.

Results show that misinformation has a smaller spread size and breadth than true news but has a similar spread depth and structural virality. The differential influence of emotions on the structural characteristics of misinformation propagation was found: sadness can promote the breadth of misinformation spread, anger can promote depth and disgust can promote depth and structural virality. In addition, the international topic, the number of followers, images and videos can significantly and positively influence the misinformation's spread size, depth, breadth and structural virality.

The influencing factors of the structural characteristics of misinformation propagation are clarified, which is helpful for the detection and management of misinformation.

Literature shows that university spin‐offs (USOs) have idiosyncratic strengths in comparison to other new firms; however, evidence also shows that Chinese USOs have a low survival rate, and only a small percent of them can grow into sustainable businesses. The purpose of this paper is to conduct an empirical study to inquire about the variable growth barriers to Chinese USOs, in order to address two major research questions of this paper: what are the major growth barriers, and how significant they are; and what supports should university and government provide to eliminate those barriers?

In the first place, this paper attempts to explore the research questions through literature review and pilot interviews, based on which, a questionnaire for a survey was developed. Then, this study then attempts to address the research questions through a nation‐wide survey in 2009 across 69 national university science parks.

This paper finds that corporate governance issues, managerial concerns, and lack of infrastructure support are three major categories of barriers that thwart the growth of USOs in China. In addition, this paper also identified the support that is expected from universities and government agencies in order to cope with the barriers.

This paper contributes to theory in three ways. First, it tests and validates some existing conceptual frameworks concerned with the growth barriers to USOs. Second, it sheds light on the specific growth concerns of Chinese USOs and identifies three kinds of barriers. Further, this study provides evidence for future policy making regarding USOs and university technology transfer activities in China. This research will be of interest to policy makers, academic entrepreneurs, and university administrators.

Drawing on social exchange theory, we consider mentoring in Indonesia in terms of practices and challenges. Characterized by high power distance, mentoring in Indonesia is formal, with certain performance criteria set by the organization for the selection of mentors. While the extent of formality differs depending on the organizational culture, mentoring is perceived to consist of relationship building that goes beyond a superior–subordinate relationship. Preliminary findings of this study also indicate several challenges in the mentoring relationship, one being the expectation to conform and the consequent punishment if one were to disobey orders. Another challenge is the lack of training for the mentors. Participants further noted the challenge associated with gift-giving practices whereby mentees are often obliged to give gifts to the mentors, given the high power distance context. Furthermore, obtaining continuous commitment from top leaders poses another challenge. We also discuss theoretical and practical implications of this study for mentoring, leadership and employee development, thus adding to the literature on workplace mentoring in an emerging economy.

Environmental problems such as CO₂ (Carbon Dioxide) emissions have seriously affected the development of the steel industry, which has urged the industry to adopt a more effective emission reduction policy. This paper aims to analyze the impact of various CO₂ emission reduction policies combinations on the economic benefits and environmental changes of the steel industry and to determine the scope of application.

To compare the impact and applicable implementation conditions, a production decision game model that incorporates these two policies has been constructed. Short-, medium- and long-term constraints are set on the emission reduction indicators and the indicators’ changes under various scenarios are compared.

In the case of a single emission reduction policy, the carbon trading (CT) mechanism is better than the carbon tax mechanism. The mixed carbon trading mechanism is superior to the mixed carbon tax mechanism in terms of total output and subsidies, but worse in terms of overall social welfare, producer surplus and macro losses.

This paper constructs multiple emission reduction and production backgrounds and discusses the impact of the comprehensive implementation of these policies, which is practically absent in previous studies. It is in line with the current industrial policy for stable production and environmental protection and also provides a reference for the formulation of detailed policies in the future.

In the last decade, cloud manufacturing (CMfg) has attracted considerable attention from academia and industry worldwide. It is widely accepted that the design and analysis of cloud manufacturing architecture (CMfg-A) are the basis for developing and applying CMfg systems. However, in existing studies, analysis of the status, development process and internal characteristics of CMfg-A is lacking, hindering an understanding of the research hotspots and development trends of CMfg-A. Meanwhile, effective guidance is lacking on the construction of superior CMfg-As. The purpose of this paper is to review the relevant research on CMfg-A via identification of the main layers, elements, relationships, structure and functions of CMfg-A to provide valuable information to scholars and practitioners for further research on key CMfg-A technologies and the construction of CMfg systems with superior performance.

This study systematically reviews the relevant research on CMfg-A across transformation process to internal characteristics by integrating quantitative and qualitative methods. First, the split and reorganization method is used to recognize the main layers of CMfg-A. Then, the transformation process of six main layers is analysed through retrospective analysis, and the similarities and differences in CMfg-A are obtained. Subsequently, based on systematic theory, the elements, relationships, structure and functions of CMfg-A are inductively studied. A 3D printing architecture design case is conducted to discuss the weakness of the previous architecture and demonstrate how to improve it. Finally, the primary current trends and future opportunities are presented.

By analyzing the transformation process of CMfg-A, this study finds that CMfg-A resources are developing from tangible resources into intangible resources and intelligent resources. CMfg-A technology is developing from traditional cloud computing-based technology towards advanced manufacturing technology, and CMfg-A application scope is gradually expanding from traditional manufacturing industry to emerging manufacturing industry. In addition, by analyzing the elements, relationships, structure and functions of CMfg-A, this study finds that CMfg-A is undergoing a new generation of transformation, with trends of integrated development, intelligent development, innovative development and green development. Case study shows that the analysis of the development trend and internal characteristics of the architecture facilitates the design of a more effective architecture.

This paper predominantly focuses on journal articles and some key conference papers published in English and Chinese. The reason for considering Chinese articles is that CMfg was proposed by the Chinese and a lot of Chinese CMfg-A articles have been published in recent years. CMfg is suitable for the development of China’s manufacturing industry because of China’s intelligent manufacturing environment. It is believed that this research has reached a reliable comprehensiveness that can help scholars and practitioners establish new research directions and evaluate their work in CMfg-A.

Prior studies ignore the identification and analysis of development process and internal characteristics for the current development of CMfg-A, including the main layers identification of different CMfg-As and the transformation process analysis of these main layers, and in-depth analysis of the inner essence of CMfg-A (such as its elements, relationships, structure and functions). This study addresses these limitations and provides a comprehensive literature review.

The purpose of this paper is to examine the drivers of continuance intention with mobile banking apps, in a Thai context. The secondary objective is to examine if there are underlying segments that differ meaningfully in this regard.

A structural equation model based on the European Customer Satisfaction Index is estimated. The data were obtained by conducting an online survey of mobile banking users in Thailand (n=399).

The top 3 factors directly affecting continuance intention toward mobile banking are satisfaction, trust and expectancy confirmation. Image and perceived risk also have an impact, although studies have reported that the latter is less impactful than the prior. One latent segment is more influenced by observable performance characteristics like confirmation and perceived quality, the other more by credence factors like trust and image.

The study confirms the important role of satisfaction and expectancy confirmation in driving continuance. Somewhat unexpected is the high relative prominence of trust as a driver, at least in the Thai context. This is a “soft” variable managers should not dismiss. The identification of segments also points to potentially different treatment and actionable advice for managers.

This paper adds to the scant body of empirical work on continuance intention with mobile banking. In light of the large investments in mobile banking capabilities being made, this is an under-researched area. This paper to the authors’ knowledge is the first to study consumer heterogeneity in this context.

This study aims to explore whether expected image outcomes (risk and gain) represent a mechanism through which perceived organizational climates, in the dimensions of tradition and reflexivity, affect key components of the innovation process (idea generation and idea realization).

Structural equation models have been conducted to empirically analyse 3 waves of longitudinal survey data from an Italian military organization (N = 410).

Results confirmed that image outcome expectations mediated the effects of perceived climate on idea generation, and that a serial mediation of image expectations and idea generation those on idea realization. Additionally, reflexivity was directly associated with idea generation.

The findings offer guidance for organizations that aim to strengthen employee-driven innovation, highlighting the importance of organizational climate and image outcomes expectations.

Advancing from existing organizational behaviour and individual innovation literature, this article contributes to extend knowledge about the role of organizational climate and image outcome expectations in enhancing innovative work behaviours.