Search results

The purpose of this paper is to help online retailers who have an existing reselling channel to figure out the risk of introducing an additional marketplace channel and identify the introduction threshold with an overall consideration to the fulfilment cost and services.

In order to evaluate the risk of the marketplace channel strategy, this paper develops a Retailer–Stackelberg pricing model. Products are divided into two categories according to different fulfilment cost–value ratio to get a more targeted strategy.

The results show that the strategy of introducing the marketplace is not always satisfying. Retailers prefer this strategy when they are the prevailing parties in service output. The overall trend is that retailers have to encourage their marketplace partners to improve services for the product with a big fulfilment cost–value ratio. Otherwise, retailers should block the marketplace from entering.

For an intuitive conclusion, this paper assumes that the operating costs (except fulfilment cost) are equal in two channels. This suggests a need to further investigate the impact of other costs. Meanwhile, it would be interesting to examine the competition among suppliers and retailers.

This research provides the suggestions for online retailers who want to introduce and well manage the marketplace channel.

This research also helps both academia and industry become more intelligent about the significant influences of category management on channel strategy.

Most prior research is unaware of the risk of introducing a new channel, which also rarely considers how to manage it. This research points out that the effectiveness of this channel strategy differs in different categories. Moreover, retailers can benefit from managing the marketplace’s service output.

Facing the global public health emergency (GPHE), the conflict of cultural differences and the imbalance of vital resources such as knowledge among different organizations are becoming more severe, which affects the enthusiasm and sustainability of firms' innovation heavily. It is an urgent problem to be solved for firms how to make use of internal knowledge and external power to help firms' sustainable innovation (FSI). Thus, the purpose of this study is to deeply analyze how firms' internal knowledge diversity (KD) and external ego-network structures [ego-network density (ED) and honest brokers (HB)] affect FSI, as well as how the ego-network structures (ED and HB) moderate the relationship between KD and FSI based on the perspective of the ego network.

Based on the data of the alliance innovation networks of China's new energy industries in 2009–2019, this study uses the social network analysis method and negative binomial regression model to explore the effect of KD and ego-network structures (ED and HB) on FSI, as well as the moderating effects of ego-network structures (ED and HB) on the relationship between KD and FSI based on the perspective of ego network.

This study finds that KD, ED and HB can boost FSI. Moreover, ED plays a negative moderating role in the relationship between KD and FSI. However, the negative moderating effect of HB on the relationship between KD and FSI is not significant.

This study presents fresh empirical evidence and new insights for firms on how to make full use of firms' internal KD and external ego-network structures to facilitate FSI.

First, this study not only enriches the research on the consequences of KD but also expands our understanding of the knowledge-based view to some extent. Second, this study not only enriches the motivation research of the FSI based on the perspective of ego-network in the context of the GPHE but also expands the application scope of social network theory and sustainable innovation' theory in part. Third, this paper is a new attempt to apply social network theory and knowledge-based view at the same time.

Metro stations have become a crucial aspect of urban rail transportation, integrating facilities, equipment and pedestrians. Impractical physical layout designs and pedestrian psychology impact the effectiveness of an evacuation during a metro fire. Prior research on emergency evacuation has overlooked the complexity of metro stations and failed to adequately consider the physical heterogeneity of stations and pedestrian psychology. Therefore, this study aims to develop a comprehensive evacuation optimization strategy for metro stations by applying the concept of design for safety (DFS) to an emergency evacuation. This approach offers novel insights into the management of complex systems in metro stations during emergencies.

Physical and social factors affecting evacuations are identified. Moreover, the social force model (SFM) is modified by combining the fire dynamics model (FDM) and considering pedestrians' impatience and panic psychology. Based on the Nanjing South Metro Station, a multiagent-based simulation (MABS) model is developed. Finally, based on DFS, optimization strategies for metro stations are suggested.

The most effective evacuation occurs when the width of the stairs is 3 meters and the transfer corridor is 14 meters. Additionally, a luggage disposal area should be set up. The exit strategy of the fewest evacuees is better than the nearest-exit strategy, and the staff in the metro station should guide pedestrians correctly.

Previous studies rarely consider metro stations as sociotechnical systems or apply DFS to proactively reduce evacuation risks. This study provides a new perspective on the evacuation framework of metro stations, which can guide the designers and managers of metro stations.

The purpose of this paper is to provide a selected bibliography of recent resources on library instruction and information literacy.

The paper introduces and annotates periodical articles, monographs, and audiovisual material examining library instruction and information literacy.

The findings provide information about each source, discusses the characteristics of current scholarship, and describes sources that contain unique scholarly contributions and quality reproductions.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

This study aims to investigate the relationship between individual-level psychological resources and team resilience in the context of expatriate project management teams. It seeks to understand how personal psychological resources contribute to team resilience and explore the dynamic evolution mechanism of team resilience. The goal is to enhance team resilience among expatriates in a BANI (Brittle, Anxious, Nonlinear, and Incomprehensible) world, where organizations face volatile and uncertain conditions.

An online survey was applied for data collection, and 315 valid samples from Chinese expatriates in international construction projects were utilized for data analysis. A structural equation model (SEM) examines the relationships between personal psychological resources and team resilience. The study identifies five psychological factors influencing team resilience: Employee Resilience, Cross-cultural Adjustment, Self-efficacy, Social Support, and Team Climate. The hypothesized relationships are validated through the SEM analysis. Additionally, a fuzzy cognitive map (FCM) is constructed to explore the dynamic mechanism of team resilience formation based on the results of the SEM.

The SEM analysis confirms that employee resilience, cross-cultural adjustment, and team climate positively impact team resilience. Social support and self-efficacy also have positive effects on team climate. Moreover, team climate is found to fully mediate the relationship between self-efficacy and team resilience, as well as between social support and team resilience. The FCM model provides further insights into the dynamic evolution of team resilience, highlighting the varying impact effects of antecedents during the team resilience development process and the effectiveness of different combinations of intervention strategies.

This study contributes to understanding team resilience by identifying the psychological factors influencing team resilience in expatriate project management teams. The findings emphasize the importance of social support and team climate in promoting team resilience. Interventions targeting team climate are found to facilitate the rapid development of team resilience. In contrast, interventions for social support are necessary for sustainable, long-term high levels of team resilience. Based on the dynamic simulation results, strategies for cultivating team resilience through external intervention and internal adjustment are proposed, focusing on social support and team climate. Implementing these strategies can enhance project management team resilience and improve the core competitiveness of contractors in the BANI era.

Mega construction projects (MCPs), which play an important role in the economy, society and environment of a country, have developed rapidly in recent years. However, due to frequent social conflicts caused by the negative social impact of MCPs, social risk control has become a major challenge. Exploring the relationship between social risk factors and social risk from the perspective of risk evolution and identifying key factors contribute to social risk control; but few studies have paid enough attention to this. Therefore, this study aims to systematically analyze the impact of social risk factors on social risk based on a social risk evolution path.

This study proposed a social risk evolution path for MCPs explaining how social risk occurs and develops with the impact of social risk factors. To further analyze the impact quantitatively, a social risk analysis model combining structural equation model (SEM) with Bayesian network (BN) was developed. SEM was used to verify the relationship in the social risk evolution path. BN was applied to identify key social risk factors and predict the probabilities of social risk, quantitatively. The feasibility of the proposed model was verified by the case of water conservancy projects.

The results show that negative impact on residents’ living standards, public opinion advantage and emergency management ability were key social risk factors through sensitivity analysis. Then, scenario analysis simulated the risk probability results with the impact of different states of these key factors to obtain management strategies.

This study creatively proposes a social risk evolution path describing the dynamic interaction of the social risk and first applies the hybrid SEM–BN method in the social risk analysis for MCPs to explore effective risk control strategies. This study can facilitate the understanding of social risk from the perspective of risk evolution and provide decision-making support for the government coping with social risk in the implementation of MCPs.

The purpose of this paper is to investigate the effects of initial trust on control in the construction projects from the perspective of the client. The results are a good resource in managing the relationship between trust and control in the construction industry in China, and formulating a good working relationship with contractors.

Using a set of questionnaire, data were collected from project managers of the clients, who are responsible for the overall project management and have face-to-face interaction with the contractors. The data were analyzed by structural equation modeling to identify the effects of initial trust on control for the contractors.

Trust is examined in the construction industry in China through calculative and relational trust. Their effects are examined on three modes of inter-organizational control: outcome control, behavior control and social control. The results show that the calculative trust has strong effects on outcome-based and behavior control, while the relational trust, on social control.

First, the conclusion of this research is based on the construction industry in China. It may not be suitable for other industries or other countries. Second, there may be other factors that influence the relationship between trust and control, such as the characteristics of the client and organizational culture, which are not taken into consideration in this research.

The effects of initial trust on control have been testified in the study. For the client, it is wise to take suitable control measures to face with the contractors with the consideration of initial trust. The contractors would apply the rule in the relationship between initial trust and control, and set up good relationship with the client.

This research has certain originality and value in theory and practice. First, this research analyzes the relationship between trust and control in a dynamical way, which has innovative significance to some extent. Second, research on inter-organization supplies a new perspective about project control. Finally, this research would offer a perspective to improve the present situation of the construction industry in China. If the clients use the trust and control measures appropriately, the harmonious relation can be achieved and projects performance can be improved.

The purpose of this study is to promote laminar heat transfer from the channel heated through a slab with slits and inclined ribs protruding across.

The novel design of this study is performed through making the slits in the slab (C1–C3: with slits; C4–C6: without slits) and changing the vertical location of this slab (1/4, 1/2 and 3/4 channel height). The thermal fluid characteristics of all cases are analyzed for various Reynolds numbers (500, 1,000, 1,500 and 2,000) by the SIMPLE-C algorithm.

The results display that the ribbed slab effectively improves the heat transfer. The slits can modify the flow field in the vortexes around the inclined ribs and remove more heat from this zone to promote the heat transfer. As compared with C0 (without a slab), C2 (the slab with slits and inclined ribs protruding across located vertically on the 3/4 channel height) raises the averaged Nusselt number up to 27.7% at Re = 2,000. As compared with C4 (without slits), C1 (with slits) gains the maximum increase in the averaged Nusselt number by 5.07% at Re = 1,000.

The constant thermo-physical properties of incompressible fluid and the steady flow are considered in this study.

The numerical results will profit the design of heated passageway using a slab with slits and inclined ribs protruding across to acquire better heat transfer promotion.

This slab with slits and inclined ribs protruding across can be applied to the heat transfer promotion and thus be viewed as a useful cooling mechanism in the thermal engineering.

The distinction between systemic banks (GSIBs) and non-systemic banks (non-GSIBs) is driven by policy reasons. This study aims to examine the behaviour of non-performing loans in European GSIBs and non-GSIBs from 2004 to 2013.

The author uses regression methodology to analyse the association between non-performing loans (NPLs) and the state of the economy.

The author finds that more profitable banks witness higher NPLs regardless of them being systemic or non-systemic. Secondly, GSIBs have fewer NPLs during economic booms and during periods of increased lending, while non-GSIBs experience higher NPLs during periods of increased lending. The author also observes that European non-GSIBs that exceed regulatory capital requirement also experience higher NPLs. In the post-crisis period, there is a significant and negative relationship between NPLs and the economic cycle for GSIBs in the post-financial crisis period and a significant and positive relationship between NPLs, loan supply and bank profitability for GSIBs in the post-financial crisis period; on the other hand, there is a significant and negative relationship between NPLs and regulatory capital ratios for non-GSIBs in the post-financial crisis period and a significant and positive relationship between NPLs and bank profitability for non-GSIBs in the post-financial crisis period. The findings have implications.

To the best of the author’s knowledge, the literature on the determinants of NPL has not empirically examined the behaviour of NPLs in European GSIBs and non-GSIBs. This paper examines this issue to provide insights to help policymakers and academics understand the peculiarities of NPLs in Europe.

The study aims to explore macroeconomic and banking industry-specific determinants of non-performing loans (NPLs) for Chinese banks, spanning from 2005 to 2014.

It uses three different models to explore the determinants. The first model has only macroeconomic variables as regressors; the second model has only banking industry-specific variables as independent variables; and the third model has macroeconomic and banking industry-specific variables as explanatory variables. Furthermore, system generalized method of moments estimation technique has been used to measure the coefficients of independent variables.

Gross domestic product (GDP) growth rate, effective interest rate, inflation rate, foreign exchange rate, type of bank, bank risk-taking behavior, ownership concentration, leverage and credit quality are significant determinants of NPLs in Chinese banks. Furthermore, the determinants of NPLs for listed and unlisted banks differ. Determinants of NPLs of listed banks include GDP, bank risk-taking behavior and credit quality. However, variation in NPLs of unlisted banks is explained by GDP, inflation rate, foreign exchange rate, bank risk-taking behavior, leverage and credit quality.

This study also finds that using only macroeconomic or banking industry-specific variables as regressors is not a right approach because it may lead to erroneous conclusions.