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This study mainly aims to examine whether entrepreneurs’ utilization of political connections is purely egoistic. Addressing this issue could shed light on traditional debate which concerns whether political connections still have strategic value at advanced stage of institutional transition today in China. Here, at the background of Chinese economic transformation, the utilization of political connections is studied, and a double-role model of the pro-self-mechanism and the pro-social mechanism between political connections and performance in China is put forward.

This study uses survey of questionnaires randomly from 363 entrepreneurs in Jiangsu, Anhui and Shandong Provinces of China and adopts the first stage and direct moderation model in examination.

The results show that there exists mediated mechanism of both pro-self and pro-social mechanism in the relationship between political connections and firm performance. The authors conclude that utilization of political connections is not only purely egoistic but also altruistic. So, both dark-side and bright-side mechanisms of political connections in China are of equal importance. In addition, the authors take into consideration of the contingency effects of institution, industry and firm-level factors of this moderation model. The pro-self and pro-social mechanisms have differences in terms of moderator-within and moderator-between comparisons of these three contingency effects. Among these comparisons, the pro-self-mediating mechanism is most sensitive to changes of institutional quality, whereas the pro-social mediating mechanism is most sensitive to the uncertainty of industry competition.

This evidence furthermore verifies that the process of institutional transition is nonlinear and political connections still have strategic value in advanced stage of institutional transition today.

This study combines the dual perspectives of “give” and “take.” The former implies the pro-social motivation, while the latter implies the pro-self-motivation. Based on the framework of “resource-conduct-performance,” this study explores how these two mechanisms mediate the relationship between political ties and firm performance. In addition, the authors adopt the framework of “Strategy Tripod,” which was proposed by Peng et al. (2009) and examine the difference between pro-self and pro-social motivation at different level of institution environment improvement, industry dynamics and firm absorptive capacity.

This study aims to analyze the relationship between corporate social responsibility (CSR) and quality of accounting report, especially on earnings management (EM). In addition, potential moderators of this relationship are examined.

After a comprehensive study of potential mechanisms, the authors obtain plenty of empirical results to open the black box of the link between CSR and EM. Meta-analysis is applied on 51 studies from 35 papers. Further analysis is also carried out to determine the moderating effects, such as the cultural and sample selection differences in these papers.

CSR is negatively associated with EM. In addition, this effect is moderated by cultural difference, CSR measurement, and year of sample selection.

Two patterns of the hypothesis between CSR and EM are confirmed based on agency cost theory, a theoretical shift of corporate ethics based on organizational moral perspective. Several useful suggestions are also provided for future studies on the empirical model and sample selection. Further research is necessary to clarify the agency cost behind the two theoretical patterns.

CSR is not a tool for firms to market but rather a strategy to ensure their consistency with moral principles, indicating that management should pay more attention to the potential damage of the incongruence between CSR and accounting reporting quality. CSR reporting quality remains an important issue for legislature to guarantee continued firm operations.

To the best of the authors’ knowledge, this study is the first to analyze the CSR and EM link using a meta-analysis and to consider its underlying mechanism under the global environment. Previous method design and sample selection are reviewed to provide reference for future studies.

The purpose of this study is to advance and test a new construct, harmony voice. Furthermore, according to the social influence theory, the relationship between zhongyong, an essential Confucian orientation mode and voice behavior, and the moderating role of coworker’s regulatory focus (promotion focus and prevention focus) has been examined.

A field study has been designed to test our hypotheses. We used samples of 291 employee–coworker dyads from a variety of organizations in China to test this study’s hypotheses.

The results of this empirical study show that zhongyong is positively related to harmony voice. Coworkers’ promotion focus strengthens the positive effect of zhongyong on harmony voice, and coworkers’ prevention focus weakens the positive effect of zhongyong on harmony voice.

Traditionally defined voice and harmony voice might cause different risks to the voicer. However, how and what kinds of risks may be differently caused by these two types of voice behaviors have not been examined in this study. Future empirical research can explore the different effects of traditionally defined voice and harmony voice.

Managers responsible for managing Chinese employees should notice the difference in some important ways of thinking between Easterners and Westerners. Specifically, zhongyong may direct people to express issues related to work in ways that are different from those of their Western counterparts. Harmony voice can benefit the Chinese organization without disrupting organizational development.

By examining the relationship between zhongyong and harmony voice, we contribute to identifying antecedents of voice by using an emic research perspective.

We made significant theoretical contributions to voice literature. We developed the construct of harmony voice, and we examined the relationship between zhongyong and voice.

The purpose of this paper is to empirically analyze whether and how managerial overconfidence affects stock price crash risk.

Based on a large sample of Chinese non-state-owned firms from 2000 to 2012, this study employs methods including multiple linear regression model, Heckman two-stage treatment effect procedure, firm fixed effects model and event study to clarify the causality relationship between managerial overconfidence and crash risk.

The authors find that firms with overconfident managers (chief executive officer or board chairs) are more likely to experience future stock price crashes than firms with non-overconfident managers. The effect of overconfidence on crash risk is more pronounced for firms with low transparency, suggesting that firm opacity facilitates overconfident managers’ bad news hoarding activities, which, in turn, increases stock price crash risk. The authors also show evidence that overconfident managers tend to disclose good news in a timely manner.

The authors add to the growing literature on stock price crash risk. Specifically, the authors find that the cognitive bias of board chair plays an important role in the bad news hoarding activities, thereby increasing the likelihood of stock price crash. This study also contributes to the literature that addresses the effects of managerial overconfidence on corporate finance issues.

The purpose of this study is to effectively optimize vehicle lane-changing behavior and alleviate traffic congestion in ramp area through the study of vehicle lane-changing behaviors in upstream segment of ramp areas.

In the upstream segment of ramp areas under a connected vehicle environment, different strategies of vehicle group lane-changing behaviors are modeled to obtain the best group lane-changing strategy. The traffic capacity of roads can be improved by controlling group lane-changing behavior and continuously optimizing lane-changing strategy through connected vehicle technologies. This paper constructs vehicle group lane-changing strategies in upstream segment of ramp areas under a connected vehicle environment. The proposed strategies are simulated by VISSIM.

The results show that different lane-changing strategies are modeled through vehicle group in the upstream segment of ramp areas, which can greatly reduce the delay of ramp areas.

The simulation results verify the validity and rationality of the corresponding vehicle group lane-changing behavior model strategies, effectively standardize the driver's lane-changing behavior, and improve road safety and capacity.

This paper aims to use active fine lane management methods to solve the problem of congestion in a weaving area and provide theoretical and technical support for traffic control under the environment of intelligent connected vehicles (ICVs) in the future.

By analyzing the traffic capacities and traffic behaviors of domestic and foreign weaving areas and combining them with field investigation, the paper proposes the active and fine lane management methods for ICVs to optimal driving behavior in a weaving area. The VISSIM simulation of traffic flow vehicle driving behavior in weaving areas of urban expressways was performed using research data. The influence of lane-changing in advance on the weaving area was evaluated and a conflict avoidance area was established in the weaving area. The active fine lane management methods applied to a weaving area were verified for different scenarios.

The results of the study indicate that ICVs complete their lane changes before they reach a weaving area, their time in the weaving area does not exceed the specified time and the delay of vehicles that pass through the weaving area decreases.

Based on the vehicle group behavior, this paper conducts a simulation study on the active traffic management control-oriented to ICVs. The research results can optimize the management of lanes, improve the traffic capacity of a weaving area and mitigate traffic congestion on expressways.

This study aims to integrate Delone and McLean’s information system success (DMISS) model with the innovation resistance model to evaluate the relationship between behavioural intention to use (BIU) and innovation resistance in the context of neo-banking. The primary objective of this study is to identify the drivers of neo-banking adoption and the barriers to its adoption and incorporate constructs such as e-trust (ETR) and personal innovativeness (PIV) to provide a more comprehensive understanding of the factors influencing neo-banking adoption.

A structured survey-based questionnaire was used to gather data from a diverse sample population in India. The Partial Least Squares Structural Equation Modeling (PLS-SEM) model was employed to further examine the adoption of neobanking services and users' intention to use neobanking services.

This study reveals a significant correlation between BIU and the uptake of neobanking services, demonstrating the value of consumers' readiness to embrace these offerings. However, resistance to usage has emerged as a major obstacle for consumers concerned about data security, technology reluctance and perceived risks associated with digital-only neobanks.

Analysing the driving and restraining factors will provide substantial information on the formation of consumers' decision-making processes in the Indian banking industry, which is undergoing rapid digital transformation. This information is of great importance to scholars, practitioners and policymakers, as it highlights the factors that may facilitate or impede the adoption of neobanking in India. The outcomes of this analysis will be of particular interest to researchers, experts and stakeholders in the field as they will provide valuable insights into the dynamics of consumer behaviour in the Indian banking sector.

This study represents an initial effort to examine BIUs and usage resistance within the rapidly developing neobanking sector in India. The findings of this study build on the existing research in this area and contribute to the ongoing discussion on the adoption of neo-banking.

This study aims to evaluate the impact of product complexity, product involvement and product diagnosticity on shaping webrooming behavior in emerging fashion retailing, with product knowledge acting as a moderator and information processing, and uncertainty reduction theory contributing as the theoretical foundation.

In total, 371 responses were collected from fashionable consumers who had recently purchased fashion products via a purposive sampling approach, and the data were analyzed using structural equation modeling and PROCESS macro.

The results illustrated that product complexity had a significant impact on product involvement and product diagnosticity, and consumer attitude. Attitude, in turn, had a favorable impact on webrooming behavior. Likewise, product diagnosticity and product involvement had a positive mediating association between product complexity and consumer attitude. Product knowledge significantly moderated the relationship between product complexity, product involvement, and consumer attitude, but it exhibited a negative moderation association between product complexity, product diagnosticity, and attitude.

This study represents a novel research endeavor, shedding light on webrooming from the perspective of product attributes in fashion retailing. It contributes to the growing body of literature on fashion marketing by analyzing the rapidly evolving phenomena of webrooming behavior within the multichannel context of the fashion industry.