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This study aims to identify the key factors that influence household pro-environmental behaviors (HPEBs) and explore the differences caused by the same influencing factors between household waste management behavior (HWM) and household energy-saving behavior (HES).

A meta-analysis was conducted on 90 articles about HPEBs published between 2009 and 2023 to find the key factors. HPEBs were further categorized into HWM and HES to investigate the difference influenced by the above factors on two behaviors. The correlation coefficient was used as the unified effect size, and the random-effect model was adopted to conduct both main effect and moderating effect tests.

The results showed that attitude, subjective norms, and perceived behavioral control all positively influenced intention and HPEBs, but their effects were stronger on intention than on HPEBs. Intention was found to be the strongest predictor of HPEBs. Subjective norms were found to have a more positive effect on HES compared to HWM, while habits had a more positive effect on HWM. Furthermore, household size was negatively correlated with HWM but positively correlated with HES.

The same variables have different influences on HWM and HES. These results can help develop targeted incentives to increase the adoption of HPEBs, ultimately reducing household energy consumption and greenhouse gas emissions and contributing to the mitigation of global warming.

This chapter looks into unpleasant affective states, or rather “dreaded emotions,” in leadership. Specifically, the adaptive roles and functions of fear, anger, and sadness are reviewed and discussed in a leadership context.

The social functions of fear, anger, and sadness are first presented. Following each emotion, the target of emotional expression – both other-directed (i.e., targeting followers and/or emotion-eliciting events) and self-directed (i.e., targeting leader) – is further discussed.

A symmetrical assumption has emerged over recent years that positive emotions result in positive outcomes and negative emotions lead to negative outcomes. In practice, the realities of organizational life and leader–follower interactions do not reflect such a neat juxtaposition. Positively valenced emotions can yield negative outcomes, and negatively valenced emotions can bring about positive outcomes.

Unpleasant emotions – fear and sadness, in particular – remain understudied in organizational and leadership literature, even though leaders experience these emotions just like the rest of us. This review offers ideas, through the combination of psychological and leadership research, on how social functions of dreaded emotions, including fear, anger, and sadness, can yield desirable leadership outcomes.

This chapter provides a review on unpleasant emotions (i.e., fear, anger, and sadness) that are rarely discussed and underresearched in leadership literature.

The purpose of this paper is to examine the threshold effect of group size on customer's complaining intention under group service failures.

Based on two main laboratory experiments, through two 10×2 scenario simulation experiments, the authors examine the role of group size in customer's complaining intention.

Results show that: (1) the relationship between group size and customer's complaining intention follows an inverted “U” type trend; (2) evaluation apprehension mediates the relationship between group size and customer's complaining intention; (3) relational distance can change threshold values and (4) relational distance moderates the relationship between group size and customer's complaining intention.

Managers should judge the threshold of group size through experience so as to have a preliminary understanding of customer evaluation concerns and complaint intention. In the face of service failure groups smaller than the threshold range, managers should divided the group into several small groups. For service failure groups larger than the threshold range, the opinion leaders in the group should be given more attention, so as to control the whole group.

This paper is helpful to deeply understand the key role of group size in the process of customer complaints, and also provides decision-making basis for service enterprises to deal with group customer complaints.

There has been little research about the threshold effect of group size on customer's complaining intention. The previous studies on customer's complaining intention focus on its influences on group size, and draw a single common conclusion that the customer's intention to complain will increase with the growing number of groups increases. However, few studies are explored on the threshold of group size. Therefore, this paper will focus on the threshold effect of group size on customer's complaining intention to fill the gap.

The purpose of this paper is to design a parking space management platform to alleviate the parking problem and a two-stage solution for sharing and allocating parking spaces.

The market design mechanism and auction mechanism are integrated to solve the problem of parking space sharing and allocation. In the first stage, the market design mechanism with two rules is applied for making the good use of idle parking spaces. In the second stage, two sequential auction mechanisms are designed by extending first/second-price sealed bid auction mechanism to allocate both private and public parking spaces, which are received in previous stage and owned by the platform. Two stages are connected through a forecasted price which is calculated through the exponential smoothing method.

First, we prove three important properties of the proposed sequential auction mechanisms, namely, incentive compatibility, revenue equivalence and individual rationality. Second, a simulation study is used to verify the effectiveness of the mechanisms through numerical analysis. The impact of the system on three parts, namely, agents (private parking space suppliers), bidders (parking space customers) and the platform, is examined. Third, the results show that the sharing mechanism with monetrary incentive will attract a number of agents to join in the platform. The bidders are also able to obtain considerable utility, as compared with the (average) market parking fees. The platform can thus effectively allocate parking spaces with reasonable prices.

This paper combines the classical sequential auction mechanisms with the market design mechanism for the parking space sharing and allocation problem. The modeling and analysis method can also be used to address the similar allocation and pricing problems of other resources like bicycle sharing.

Technological advancements have catalyzed disruption in the banking sector. The impact of the metaverse on the banking sector is no exception. In view of this, the current paper aims to provide valuable insights into four key areas (i.e. corporate banking, retail banking, banking employees and public policy) that the metaverse could significantly disrupt.

Insights into four key areas of the banking sector that the metaverse could significantly impact were gathered from various invited contributors.

The invited contributors first introduce the association between their respective key areas with the metaverse. Subsequently, the opportunities and challenges relevant to the key areas were identified. Finally, future research agendas were proposed for the attention of all relevant stakeholders.

The metaverse's impact on key areas of the banking sector is discussed in this paper. Following the metaverse's potentially wide application in the banking sector, insights from the invited contributions offer great value to the relevant stakeholders.

Employees play a central role in firms’ knowledge transferal, but knowledge-sharing brings significant costs for employees. Thus, this study aims to explore the components of firms’ incentive systems and how these influence employees’ knowledge-sharing, and also to test whether employees’ knowledge-sharing intentions transform into better knowledge transfer performance at the firm level.

This study collected data in China, and 219 usable questionnaires were collected. Then, this study used a structure equation model by LISREL for hypotheses testing.

This study finds that positive economic incentives, positive relational incentives and negative relational incentives all increase employees’ knowledge-sharing intentions, contributing to firms’ improved knowledge-transfer performance. Thus, both positive and negative incentives and both economic and relational incentives exert influences on employees’ knowledge-sharing activities.

Because employees have both material and emotional needs and always want to approach good things and avoid bad things, firms should take measures to make their incentive systems more comprehensive. Then, employees can be motivated to share their knowledge effectively.

Existing studies have mainly explored the effects of positive economic incentives on knowledge transferal. Because individuals have both a promotion self-regulatory focus associated with an approach motivation and a prevention self-regulatory focus associated with an avoidance motivation, and because they have both material and emotional needs, this study classifies incentives into three types and confirms their effectiveness for motivating employees to share knowledge.

To further understand the granular flow lubrication mechanism in metal contact pairs, the effect of sliding-rolling ratio on the force chain properties was investigated.

The parallel inter-plate model of the granular flow lubrication was established with discrete element method. Then, the correlation law between sliding-rolling ratio and force chain evolution properties was calculated and analyzed with PFC2D software platform.

Numerical calculation results show that the dynamic fluctuation property of force chain is existed, and the shock frequency of it is increased with the increase of sliding-rolling ratio. The same evolution law is also occurred for the bearing rate of strong force chain in the initial expansion and final compression phases, and the opposite phenomena is obtained for the overall expansion phase. Moreover, the directivity of strong force chain is changed by the sliding-rolling ratio. With the increase of sliding-rolling ratio, the directivity of strong force chain is first tended to y-axis, and then inclined to the x-axis in the whole phases. The basic reason is that a clamping up and downward movement impact for the neighbor particles are the essence of the above phenomenon.

The main contribution of this work is to lay a theory foundation of interfacial lubrication mechanism with granular flow.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2023-0133/

Identifies themes in the hospitality and tourism literature arising from articles published in Asia Pacific‐based journals from 1989 to 1996 inclusive. The journals are the Australian Journal of Hospitality Management, the Journal of Tourism Studies, Tourism Recreation Research and the Asia Pacific Journal of Tourism Research. The themes are: attracting Asian outbound travel markets; stakeholder roles in service quality; workplace relations; investment, planning and development in the accommodation sector; and education and training.

This paper explores the reasons behind the slow uptake of mobile payment (m-payment) from a switching intention (SI) perspective. The antecedents of SI from cash to m-payment were explored using an integrated conceptual model of the push-pull-mooring (PPM) framework and the status quo bias (SQB) perspective.

A self-administered survey was used to collect data, which are empirically tested using SmartPLS 3.0.

The push factor was found to have an insignificant effect on SI to m-payment whereas the pull factor was significant. Furthermore, the results revealed that the two mooring variables have contrasting results as trust is not a significant determinant of SI to m-payment while perceived security and privacy (PSP) is. Additionally, all SQB-related relationships were found to be statistically significant

This study determined the factors that play vital roles in the consumers' decision-making to transition from cash to m-payment. This was done via a uniquely developed conceptual model that incorporated the PPM framework with the SQB perspective.

This paper aims to investigate the inverse U-shape relationship between DM and accessing loans from the banks and explore the moderating effect of donation mode diversity.

Based on a survey dataset of 1,036 private firms in China, we use a Heckman two-stage estimation model to test hypothesizes.

The results show an invert U-shape relationship between donation magnitude and access to bank loan. The authors also find that donation mode diversity will positively moderate donation magnitude–bank loan relationship: the positive effect of donation magnitude will be stronger for the private firms using multiple channels of philanthropic donation.

This paper extends the literatures by examining how philanthropic donation behaviors in form of donation magnitude (how much to give) and donation mode diversity (how to give) influence private firms’ loan borrowed from the bank, an important but largely ignored stakeholder. Therefore, it suggests that both the amount and the channels of philanthropic donation could have significant roles in the efficiency of achieving strategic outcomes of corporate philanthropy.