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The purpose of this paper is to study the influence of cooperative and competitive personalities on tacit knowledge sharing (TKS) by exploring the mediating role of organizational identification (OI) and the moderating role of perceived organizational support (POS) among Chinese employees.

Conducting a network survey of ordinary employees from Chinese listed companies (2019) as the research objects, the authors collect 298 valid samples for research. The authors apply confirmatory factor analysis to test the reliability and validity of the constructs, structural equation modeling to verify the direct effect and the PROCESS macro to test the mediating and moderating effects.

The results show that there is a positive relationship between cooperative personality (COP) and TKS, and there is an inverted U-shaped relationship between competitive personality (CMP) and TKS. OI plays a mediating role between COP and TKS, while POS plays a negative moderating role between COP and TKS.

This paper only takes Chinese employees as the research sample, and future research can make a cross-cultural comparison between the impacts of cooperative and competitive personalities on employees’ behaviors.

The results of this study suggest that enterprises should actively cultivate the COP of employees, and managers should refrain from intervening in the behaviors of employees with COP. At the same time, for employees with CMP, managers should guide them to control their competitive tendency at a reasonable level. The conclusions of this paper also suggest that managers should pay attention to the cultivation of employees’ OI.

This study plugs the gap in research on the impacts of cooperative and competitive personalities on TKS. It makes a contribution to the research development of COP and CMP and their influence mechanisms on employees’ behaviors. In addition, the negative moderating effect of POS on COP–TKS link verifies the correctness of Y theory. Studying the relationships among personality traits (cooperative and competitive personalities), cognition (OI) and behaviors (TKS), this paper makes a contribution to such a research stream.

The purpose of this paper is to examine the relationship between competitive personality (CMP) and rationalized knowledge hiding (KH) and to explore the mediating effects of knowledge-based psychological ownership (KPO) and organization-based PO (OPO) by developing a mediating framework.

Data were collected from the ordinary employees of listed companies in China (2022) via a Web-based survey. The total number of valid samples was 337. Confirmatory factor analysis was used to test the reliability and validity of the constructs, and structural equation modeling was used to verify the direct and mediating effects.

The findings revealed a positive relationship between CMP and rationalized KH (RKH). KPO plays a positive mediating role between CMP and RKH, whereas OPO plays a negative mediating role between CMP and RKH.

First, although the questionnaire collection is split into two sessions to reduce common method variation, there is inevitably some risk, as the questionnaires are all reported by the same respondent. Second, this study examined the effects of CMP on RKH based on the Chinese cultural context, but the applicability of this finding to cross-cultural contexts warrants further study. In the future, researchers can conduct cross-cultural comparisons to determine the generalizability of the findings.

This study helps managers to better identify the RKH behaviors that exist in organizations, understand the reasons and processes behind employees’ KH and facilitate more effective knowledge management by managers.

This study uses CMP as an important indicator of employees’ RKH behavior, enriches the research related to the antecedent variables of RKH and reveals the influence mechanism between CMP and RKH from the perspective of PO, and the findings can help researchers and managers understand the process and antecedents of RKH so that timely interventions can be implemented.

The purpose of this paper is to identify the influence of cultural differences on the design and management of two franchise programs and one joint degree program run by a Chinese university in partnership with a British university and a French university. The cross-cultural challenges and the differences in the strategies taken by the managers in both types of program to deal with such challenges are analyzed. The frameworks for such strategies are also proposed.

A case study approach was used for the analysis. Participatory observation and interview were adopted to collect information in combination with the written reports on the programs. The interviewees included managers, faculty members, and students. Thematic analysis was conducted to find out the common themes from the coded data.

For franchise programs, the British university takes a “collaborating” strategy focusing on globalization, which is combined with the “compromising” strategy of the Chinese partner university focusing on localization. Both parties keep their different styles of management and combine them into one new management mode. By contrast, in the joint degree program, the French management mode can be described as a “collaborating” strategy toward the management of the Chinese students and curriculum, while the Chinese managers are seeking to progressively “accommodate” the needs of the French students.

Few studies in the current literature are targeted at the cultural influences on the design and management of transnational higher education (TNHE) programs as well as the proper management strategies to deal with such cultural differences. The result of this study will provide useful advice for researchers and practitioners in cross-cultural management of TNHE programs.

Users' voluntary forwarding behavior opens a new avenue for companies to promote their brands and products on social networking sites (SNS). However, research on voluntary information disseminators is limited. This paper aims to bring an in-depth understanding of voluntary disseminators by answering the following questions: (1) What is the underlying mechanism by which some users are more enthusiastic to voluntarily forward content of interest? (2) How to identify them? We propose a theoretical model based on the Elaboration-Likelihood Model (ELM) and examine three types of factors that moderate the effect of preference matching on individual forwarding behavior, including personal characteristics, tweet characteristics and sender–receiver relationships.

Via Twitter API, we randomly crawled 1967 Twitter users' data to validate the conceptual framework. Each user’s original tweets and retweeted tweets, profile data such as the number of followers and followees and verification status were obtained. The final corpus contains 163,554 data points composed of 1,634 valid twitterers' retweeting behavior. Tweets produced by these core users' followees were also crawled. These data points constitute an unbalanced panel data and we employ different models — fixed-effects, random-effects and pooled logit models — to test the moderation effects. The robustness test shows consistency among these different models.

Preference matching significantly affects users' forwarding behavior, implying that SNS users are more likely to share contents that align with their preferences. In addition, we find that popular users with lots of followers, heavy SNS users who author tweets or forward other-sourced tweets more frequently and users who tend to produce longer original contents are more enthusiastic to disseminate contents of interest. Furthermore, interaction strength has a positive moderating effect on the relationship between preference matching and individuals' forwarding decisions, suggesting that users are more likely to disseminate content of interest when it comes from strong ties. However, the moderating effect of perceived affinity is significantly negative, indicating that an online community of individuals with many common friends is not an ideal place to engage individuals in sharing information.

This work brings about a deep understanding of users' voluntary forwarding behavior of content of interest. To the best of our knowledge, the current study is the first to examine (1) the underlying mechanism by which some users are more likely to voluntarily forward content of interest; and (2) how to identify these potential voluntary disseminators. By extending the ELM, we examine the moderating effect of tweet characteristics, sender–receiver relationships as well as personal characteristics. Our research findings provide practical guidelines for enterprises and government institutions to choose voluntary endorsers when trying to engage individuals in information dissemination on SNS.

The relocation of existing underground utilities in urban environments is complex because of the existence of multiple utility agencies being responsible for numerous utilities and over constrained space and time to execute maintenance works. Unfamiliar location and insufficient records of maintenance data hamper the flow of work, causing unnecessary delays and conflicts. The aim of the paper is to explore 4 dimensional Building Information Modeling as a smart solution for the management of multiple utility data for a relocation project in an urban setting.

An empirical case-based research methodology is used to collect data and develop the BIM models. Two ongoing construction projects in an urban city are empirically studied, and 4D BIM models of identified utilities are developed to assist management and relocation of existing utilities.

The developed BIM models enabled the location of existing sub-surface utilities through 3D visualization and also enabled clash detection. The 4D simulation of BIM model enabled the tracking of actual progress of relocation works and thereby helped in taking necessary actions to minimize forthcoming delays. The evaluation of the developed model showed that the application of 4D BIM improved communication and coordination during utility relocation works.

4D BIM for utility infrastructure provides better management of utility information. They provide utility stakeholders an efficient way to coordinate, manage utility relocation processes through improved visualization and communication with a reduction in delays and conflicts.

Limited efforts were made using 3D BIM for sub-surface utility infrastructure in visualization and management of utility information. Efforts using 4D BIM in coordination and management of utility projects are left unexplored. This study adds value to the current literature through the application of 4D BIM for utility relocation projects.

While service innovation is an important issue for manufacturers, relatively little research lends empirical support to the perspective that service innovation enhanced by collaborative competence may impact the competitive advantage of original equipment manufacturing (OEM) suppliers. This study aims to advance a service-dominant logic by empirically investigating the linkage between collaborative competence, service innovation and competitive advantage for OEM suppliers.

Surveys were completed by representatives of 142 Taiwanese OEM suppliers in the electronics industry.

The results of path analysis suggest that information competence and coordination competence have positive effects on both exploitative service innovation and explorative service innovation. There only appears to be a significant relationship between joint innovation competence and explorative service innovation. Furthermore, two-pronged service innovations contribute to a supplier’s internal and external competitive advantage.

The empirical findings have important research and practical implications that help elucidate the antecedents and outcomes of OEM suppliers’ service innovation.

Smart campuses can be seen as the future of higher education efforts, especially for their contributions to sustainability and to encourage innovation. This paper aims to present the benefits of smart practices in a Higher Education Institutions and highlights its connections to the sustainable development goals (SDGs).

The methodology is divided into three steps: first, an international search and assessment of smart practices at universities; second, the identification of smart practices in a university campus in southern Brazil; and third, the presentation of the benefits of smart practices and their relationship with the SDGs.

The results showed that globally, the area most covered by smart practices in universities is the environment and, specifically, focused on waste reduction. in the context of this case study, the benefits of implementing smart practices mainly reach SDGs 4 and SDG 9, especially due to aspects of teaching technologies for the new classroom models and the optimization of campus infrastructure management.

The study encourages other universities to implement smart practices in their campuses, to becoming smart campuses while they also collaborate in achieving the SDGs while raising the discussion on the importance of committed actions taken on a university campus with the UN SDGs, to leverage synergies on campus operations at universities.

This paper presents a set of smart practices that universities are applying both globally and locally (in southern Brazil). In addition, it contributes to sustainability research by showing how smart practices have the potential to promote SDGs in universities, especially through campus operations.

Human–robot collaboration (HRC) is on the rise in a bid for improved flexibility in production cells. In the context of overlapping workspace between a human operator and an industrial robot, the major cause for concern rests on the safety of the former.

In light of recent advances and trends, this paper proposes to implement a monitoring system for the shared workspace HRC, which supplements the robot, to locate the human operator and to ensure that at all times a minimum safe distance is respected by the robot with respect to its human partner. The monitoring system consists of four neural networks, namely, an object detector, two neural networks responsible for assessing the detections and a simple, custom speech recognizer.

It was observed that with due consideration of the production cell, it is possible to create excellent data sets which result in promising performances of the neural networks. Each neural network can be further improved by using its mistakes as examples thrown back in the data set. Thus, the whole monitoring system can achieve a reliable performance.

Success of the proposed framework may lead to any industrial robot being suitable for use in HRC.

This paper proposes a system comprising neural networks in most part, and it looks at a digital representation of the workspace from a different angle. The exclusive use of neural networks is seen as an attempt to propose a system which can be relatively easily deployed in industrial settings as neural networks can be fine-tuned for adjustments.