Search results

This paper aims to construct for the first time a link between the project members' assignment and personality balance.

This study develops a project assignment quantitative model that maximizes the team's personality balance while meeting the capability requirements.

The findings indicate that a more balanced project team that contributes to project performance can be obtained before project starts.

This paper is limited to the exploration of Belbin's personality types. However, it offers a generic approach that can be applied to other personality categorization.

The paper helps practitioners form a personality balanced project team to improve the project performance by reducing the complexity of project communication and problem solving.

The paper develops for the first time a project assignment model that considers both capability and personality and allocates project personnel in such a way that the most suitable personnel is selected from a group of qualified capable candidates, to increase the possibility of success for the project.

A novel grafted temperature-responsive ReO₄⁻ Imprinted composite membranes (Re-ICMs) was successfully prepared by using polyvinylidene fluoride (PVDF) resin membranes as substrates, this study aimed to separate and purify ReO effectively.

Re-ICMs were synthesized by PVDF resin membranes as the substrate, acrylic acid (AA), acrylamide (AM), ethylene glycol dimethacrylate (EGDMA) were functional monomers. The morphology and structure of Re-ICMs were characterized by scanning electron microscope and Fourier transform infrared spectroscopy.

The maximum adsorption capacity toward ReO₄⁻ was 0.1,163 mmol/g and the separation decree had relation to MnO₄⁻ was 19.3. The optimal operation conditions were studied detailedly and the results as follows: the molar ratios of AA, AM, EGDMA, ascorbic acid, NH4ReO₄, were 0.8, 0.96, 0.02, 0.003 and 0.006. The optimal time and temperature were 20 h and 40°C, respectively. The Langmuir and pseudo-second-order models were fit these adsorption characteristics well.

Rhenium (Re) is mainly used to chemical petroleum and make superalloys for jet engine parts. This study was representing a technology in separate and purify of Re, which provided a method for the development of the petroleum and aviation industry.

This contribution provided a novel method to separate ReO₄⁻ from MnO₄⁻. The maximum adsorption capacity was 0.1163 mmol/g at 35°C and the adsorption equilibrium time was within 2 h. Meanwhile, the adsorption selectivity rate ReO₄⁻/MnO₄⁻ was 19.3 and the desorption rate was 78.3%. Controlling the adsorption experiment at 35°C and desorption experiment at 25°C in aqueous solution, it could remain 61.3% of the initial adsorption capacity with the adsorption selectivity rate of 13.3 by 10 adsorption/desorption cycles, a slight decrease, varied from 78.3% to 65.3%, in desorption rate was observed.

This paper aims to investigate how different types of idiosyncratic deals (i-deals) in the hospitality industry enhance occupational well-being (OWB) through organization-based self-esteem (OBSE).

In 2019, 679 questionnaires were distributed to middle- and high-level managerial staff who had worked in high-end hotels in China for at least 1 year, and 642 valid responses were collected. The survey data were analyzed using structural equation modeling. Follow-up interviews were conducted with 20 hotel managers to verify and lend additional support to the survey findings.

Both task i-deals and career and incentives i-deals positively affected OBSE and OWB, whereas flexibility i-deals negatively affected OBSE. OBSE positively affected OWB, thereby mediating the relationships between the three types of i-deals and OWB.

This study is groundbreaking in its exploration of how various i-deals contribute to OWB through OBSE among middle- and high-level managerial staff. The findings provide initial evidence of the links between i deals, OBSE and OWB and demonstrate how i-deals can address the practical problem of the shortage and loss of competent operational and administrative talent in the hospitality industry.

By employing the GMM and SVAR models in this paper, the effects that bond prices, equity prices, gold prices, and domestic credit have on housing prices were analyzed, using data from 2002q4 to 2015q1 for the ASEAN + 2 countries. The GMM results indicated the significant effects of equity prices and gold prices on housing prices and insignificant effects of bond prices and demotic credit on housing prices in selected Asian countries. Furthermore, findings show that worldwide economic crisis has negative impacts on housing prices in Asian countries. Moreover, Impulse response results indicated that housing prices respond simultaneously and positively to equity prices in all countries except Malaysia and Singapore. Likewise, Variance deposition findings demonstrate the importance of gold prices in fluctuation of housing prices in Malaysia and China especially in the long term.

This research aims to develop an approach to assess the reliability of integrated construction supply chains via an integrated model of building information modelling (BIM) and the lean supply chain (LSC). It reflects the synergistic workflow between BIM and LSC as a novel approach to improve the reliability of construction projects.

This research evaluates the reliability of the BIM-LSC approach through a combination of entropy theory, set pair analysis (SPA), and Markov chains (EESM). An exploratory survey was conducted to collect data from 316 industry professionals experienced in BIM and LSC. Subsequently, multiple cycles of calculations were performed with indirect data inputs. Finally, a reliability evaluation index is established for the BIM-LSC approach and potential applications are identified.

The results show that the EESM model of BIM-LSC developed in this study can handle not only supply chain reliability evaluation at a given state but also the prediction of reliability in supply chain state transitions due to changing project conditions. This is particularly relevant to the current environment of the construction project, which is characterised by an increasing level of complexity in terms of labour, technology, and resource interactions.

Future research could consider the accuracy and validity of the proposed model in real-life scenarios with by considering both quantitative and qualitative data across the entire lifecycle of projects.

The research offers a model to evaluate the reliability of the BIM-LSC approach. The accuracy of BIM supply chain reliability analysis and prediction in an uncertain environment is improved.

The BIM-LSC reliability evaluation and prediction presented in this study provides a theoretical foundation to enhance understanding of the BIM-LSC in the construction project context.

The study aims to investigate the effects of intellectual capital and its constituents on the performance of listed companies operating in China's construction sector. The study also intends to examine the moderating role of digital transformation.

Hypotheses will be tested using Modified Value-Added Intellectual Capital (MVAIC). The sample will be comprised of 93 Shenzhen and Shanghai A-share listed companies within the construction industry from the period of 2015–2021. Multiple regression analysis was employed to investigate the influence of intellectual capital, its components and digital transformation on the performance of construction firms.

The study's results reveal that the performance of construction firms greatly depends on intellectual capital and its components. Furthermore, digital transformation plays a vital moderating role between intellectual capital and its components and construction firm performance.

This study addresses a critical inquiry on how construction managers can employ intellectual capital to enhance the performance of firms during digital transformation. Additionally, this research bridges this gap by guiding construction managers to concentrate on their external surroundings when examining firm performance.

By focusing on the predictors influencing construction firms' performance, this study contributes to the existing corpus of knowledge. This study employs resource orchestration theory (ROT) to determine how the different components of intellectual capital impact the performance of construction firms, with digital transformation acting as a moderating variable. This research will be valuable to researchers, construction industry professionals and policymakers.

This paper aims to study the seismic response of frame structure with friction dampers.

The state equation of the structure subjected to the earthquake is presented and solved, from which the maximum drift and the interlayer drift angle of the floors of the structure subjected to the seismic waves of four types of sites are analyzed.

The result indicates that the damping effect is significant on the floors with the friction damper but is almost little influence on the other floor.

The result indicates that the damping effect is significant on the floors with the friction damper but is almost little influence on the other floor.

Due to their very different contexts, the responses made by property hosts to online reviews can differ from those posted by hotel managers. Thus, the purpose of this study is to investigate the determinants of the responding behavior of hosts on peer-to-peer property rental platforms.

This study applied a comprehensive framework based on the theory of planned behavior. Empirical models are constructed based on 89,967 guest reviews with their associated responses to reveal the responding pattern of property hosts.

Unlike hotel managers, property hosts are more likely to reply to positive than to negative reviews; moreover, when they do choose to respond to negative reviews, they are likely to do so negatively, in a “tit-for-tat” way. This study also finds that one reason for the difference of responding patterns between property hosts and hotel managers is the hosts’ lack of experience of consumer relationship management and service recovery.

This study provides a good start point for future theoretical development regarding effective responding strategy on peer-to-peer property rental platforms, as well as some useful implications for practitioners.

This study is an early attempt to analyze the impact of the particularity of emerging platforms on the responding behavior of service providers based on a comprehensive conceptual framework and empirical model thus provides a good starting point for the further investigation of effective response strategies on these emerging platforms.

The purpose of this study is to examine the relationship between behavior-oriented knowledge sharing and innovative behavior and the moderating effects of collectivism on the aforementioned relationship. It also assesses the impact of epistemic motivation and pro-social motivation on behavior-oriented knowledge sharing.

Focusing on Chinese context, the study conducts a questionnaire survey to test the research model. Linear regression analysis is used to examine the main effects of the independent variables, and the multi-level linear regression model is used to evaluate the moderating effects of the controlled variables.

The findings reveal that epistemic motivation stimulates individual-oriented knowledge sharing and pro-social motivation stimulates organization-oriented knowledge sharing. Organization-oriented knowledge sharing impacts more than individual-oriented knowledge sharing on innovative behavior. Moreover, collectivism is shown to positively moderate the relationship between behavior-oriented knowledge sharing and innovative behavior.

The study provides evidence that motivation should be significantly considered when sharing knowledge. Managers should prioritize the promotion of employees’ epistemic and pro-social motivation. The study also suggests that encouraging collectivism should be an important objective, as it moderates the relationship between knowledge sharing and innovative behavior positively.

The study emphasized how individual-oriented and organization-oriented knowledge sharing impacts innovative behavior differently and how collectivism moderates that relationship. It also illustrates how epistemic and pro-social motivation affects behavior-oriented knowledge sharing. The study contributes to a stream of research that links knowledge sharing and innovative behavior.

Climate engineering management (CEM) as an emerging and cross-disciplinary subject gradually draws the attention to researchers. This paper aims to focus on economic and social impacts on the technologies of climate engineering themselves. However, very few research concentrates on the management of climate engineering. Furthermore, scientific knowledge and a unified system of CEM are limited.

In this paper, the concept of CEM and its characteristics are proposed and elaborated. In addition, the framework of CEM is established based on management objectives, management processes and supporting theory and technology of management. Moreover, a multi-agent synergistic theory of CEM is put forward to guide efficient management of climate engineering, which is composed of time synergy, space synergy, and factor synergy. This theory is suitable for solving all problems encountered in the management of various climate engineering rather than a specific climate engineering. Specifically, the proposed CEM system aims to mitigate the impact of climate change via refining and summarizing the interrelationship of each component.

Overall, the six research frontiers and hotspots in the field of CEM are explored based on the current status of research.

In terms of the objectives listed above, this paper seeks to provide a reference for formulating the standards and norms in the management of various climate engineering, as well as contribute to policy implementation and efficient management.