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In the context of an economic downturn and three transitions of political power, Taiwan’s Kuomintang (KMT) kick-started the cross-strait mutual trust mechanism, encouraging university graduates to find employment in mainland China’s job market (in both mainland China and Hong Kong). Academia and industry are both paying great attention to this issue. There is still a paucity of discussions about cognitive style with regard to working in mainland China (Macau)

This study is based on the Q methodology using a sample of Taiwanese university graduates to explore how behavioral factors relate to cognitive style.

This paper defines four cognitive styles based on differences in focus and motivation: lifestyles of health and sustainability (LOHAS), word-of-mouth (WOM), learning/practice match and local market disappointment.

An association is drawn between cognition theory and psychology’s classification of cognitive style. In the context of the four cognitive styles, this paper explores the practical implications of employment and provides recommendations for those intending to work abroad.

The present study reviews the theoretical and empirical literature about the significance of international migrants' remittance to empirically analyse the effect of remittance on the productivity growth of developing countries using a panel dataset from 1991 to 2021.

The study utilised the data envelopment analysis (DEA)-based Malmquist Productivity Index (MPI) to measure nationwide production efficiencies. It first performed a unit root test, cointegration test and pool mean group autoregressive distributed lag (PMG-ARDL) technique. To assess the robustness of the findings, the study also uses dynamic ordinary least squares (DOLS) and fully modified OLS (FMOLS) estimators.

The results demonstrated that remittances are a significant source of funding that promotes innovation [i.e. technological progress (TEC)] and hastens the country's total factor productivity (TFP) growth. However, the study needed to have established the effect of inward remittances on the nation's technical efficiency (EFF).

As remittances encourage innovation and TFP growth (TFPG), the concerned governments must create favourable and enabling economic environments to increase remittance inflows, which will have far-reaching growth repercussions.

The present study emphasises the connection between remittances and productivity growth, the disintegration of TFP, advanced econometric techniques and contribution to research policy. Despite prior literature exploring the effect of remittances on economic growth, a dearth of literature exists on how remittances affect a country's productivity. The output-based MPI methodology used in this study offered a nuanced understanding of how remittances affect many facets of productivity growth in developing nations.

This paper sets out o determine influences on team performance processes and develop an overall team success model (TSM).

A total of 55 individual students grouped in 18 teams, ranging in size from two to five, were measured at several stages in semester‐long team projects. Forty‐four separate questions were studied in each measurement stage. These 44 questions were reduced to five factors through exploratory factor analysis (EFA). Structural equation modeling (SEM) was then used to determine the significance and interrelationships of these factors, as well as the influence of gender and grade point average (GPA).

This research develops and validates a series of factors that lead to IT team success. The factors include emotions, personal processes, and team processes. The overall R² of the final model was high at 0.601. Significant relationships were found between many factors. GPA had a positive impact on team processes, while negative emotions showed a negative correlation with team processes. Team processes and trust had positive impacts on project success/grade. All were significant at p<0.05. Passive positive emotions reflected a negative effect on project grade but only at p<0.10.

The major limitations of the project are the relatively small sample size as well as the use of student team projects. The work can serve as a framework for larger and more varied projects.

Virtually all significant information technology (IT) projects are developed by a group of individuals working together as a team. The development of a team success model which can improve project success can have tremendous value to industry. Implications may be extendable to other team projects.

Past analysis of the factors that lead to information systems project success has been neither comprehensive nor conclusive. Further study is recommended with more significant and varied projects to further validate the strong preliminary research findings.

The purpose of this paper is to document the racist undertones of Donald Trump’s Presidential campaign rhetoric and draw implications regarding its impact on equality, diversity, and inclusion. Most contemporary individuals reject explicitly racist beliefs and strive to present themselves as having egalitarian attitudes toward other races and ethnicities. However, commonly held implicit biases toward historically marginalized racioethnic groups drive negative effect that is often unconscious and unacknowledged. Inconsistency between the conscious and unconscious aspects of contemporary racism generates a population of individuals who are uncomfortable with their attitudes, creating an opening for politicians willing to leverage racist rhetoric and gain support by resolving this inconsistency.

This paper applies social psychological theory and research to address the questions of what attracts otherwise non-racist individuals to racist-tinged rhetoric. The paper also provides theory-based interventions for reducing the attractiveness and impact of racist political campaigns.

Supporters of racist politicians resolve the conflict between their negative feelings toward racioethnic minorities and their espoused anti-racist views by distancing themselves from racist rhetorical content in three ways: by denying that racist statements or actions occurred, denying that the statements or actions are racist, and/or by denying responsibility for racism and its effects. These techniques provide supporters with validation from an authority that they can express their negative affect toward out-groups and still consider themselves to be good people and not racists.

Distancing from racism has allowed contemporary American extremists to reframe themselves as victims of closed-minded progressives seeking to elevate undeserving and/or dangerous out-groups at the in-group’s expense. Effective anti-racism techniques are needed to counter implicit biases in order to limit the attractiveness of extremist views. Implicit biases can be effectively reduced through training in counter-stereotypic imaging, stereotype replacement, and structured inter-group interaction. Effectively countering denial of the facts involves affirming the audience’s belief system while building skepticism toward the sources of misinformation.

While countering racist politicians requires commitment, these efforts are essential for protecting the identity of the USA as a society striving toward equality, diversity, and inclusion.

By articulating the social psychological principles underpinning racist-tinged populist rhetoric, this paper explains the attractiveness of racist statements by politicians, which tends to be under-estimated.

This study develops and validates a scale to measure social media influencers' intimate self-disclosure (SMIs' ISD), by accessing consumer perceptions of the intimacy levels of SMIs' self-disclosure. The authors further evaluate the extent to which SMIs' ISD fosters consumers' self-brand connections via consumer-SMI parasocial relationships.

The scale was developed through item generation, purification, and validation. First, items were generated from existing scales and revised based on feedback provided by experts. The items were subjected to exploratory and confirmatory factor analyses using an online survey with 433 participants. Structural equation modeling (SEM) was used to examine the predictive power of SMIs' ISD on parasocial relationships and self-brand connections.

The results suggest that the perceived SMIs' ISD is a unidimensional construct. As proposed, SMIs' ISD enhances consumer-brand connections through the underlying mechanism of consumers' sense of being in a parasocial relationship with an SMI.

This study advances self-disclosure and influencer marketing literature by addressing the lack of measures on SMIs' ISD from a consumer perspective and the scarcity of empirical understanding of how brands can profit from SMIs' capabilities to make intimate self-disclosure. Based on the literature review, this study is the first to empirically consider factual, emotional, and cognitive intimacy to develop scale and demonstrate the importance of SMIs' ISD in developing consumers' self-brand connections.

The purpose of this paper is to examine the impact of inter-group conflicts on the trust toward the acquirer and then further on cooperation intention after acquisitions in cross-border mergers and acquisitions (M&As), in the lens of the social classification theory. Two types of conflicts (realistic conflicts and symbolic conflicts) and a mediating mechanism (trust toward the acquirer) exhibit different effects on cooperation intention. The research further examines two moderating coping strategies (localizing management and assigning trustworthy expatriate managers) and tests their effectiveness in promoting trust toward the acquirer and increasing cooperation intention in cross-border M&As.

The research hypotheses were empirically tested in the context of post-acquisition of Chinese companies' cross-border M&As. In total, 600 questionnaires were provided to the research participants of 37 acquired firms/units from advanced economies of 12 Chinese companies, and 209 valid questionnaires were collected (the response rate is 34.83%). Confirmatory factor analysis was conducted to verify data validity and hierarchical multiple regression analyses were employed to test relational and moderating effects.

This research demonstrates that both realistic and symbolic conflicts can reduce the intention to cooperate, but the latter does not have a significant influence. The results also uncover that whether employees from acquired firms trust in their acquirers mediates the relationship between realistic conflicts and cooperation intention. Moreover, management localization (a measurement of whether local/original managers are retained with a high degree of freedom and autonomy after M&As) and trustworthiness of expatriate managers (a measurement of whether the assigned expatriate managers is trustworthy) positively moderate the relation between realistic conflicts and trust toward the acquirer. In addition, trust toward the acquirer mediates the interaction of realistic conflicts and management localization on the cooperation intention of the acquirers' employees.

This study examines how inter-organizational conflicts influence trust toward the acquirer and then cooperation intentions in the context of Chinese companies' M&A behavior of targets from developed countries and gain supportive evidence, which enriches the literature on the management of international M&As. By introducing two management localization and trustworthiness of expatriate managers into the model, the research deepens our knowledge of how to build trust toward the acquirer in cross-border M&As.

In the process of designing new clothes, designers should identify specific user groups’ preferences and attitudes toward certain types of design, ascertain the design elements that make clothes popular in the market, and combine these elements to devise the best clothing design scheme. The purpose of this paper is to discover which design elements influence dress purchases and how age affects consumers’ choices in regard to these elements.

This study uses conjoint analysis in dress design to provide an effective method for designers to identify consumers’ preferences. First, the important attributes and attribute levels of dress design were determined. Next, the experimental samples for the attitude measurement chart were generated by orthogonal design. Finally, the data of 318 samples were analyzed by conjoint analysis to determine consumers’ preferences.

The results revealed that the “silhouette” attribute is the most important decision criterion for dress purchase, followed by the “dress length” attribute. In contrast, the “waistline height” attribute is perceived as least important. The study also identified the dress design features’ preferences of consumers of different ages. According to the results of the analysis, user groups’ preferences and acceptability regarding different design features were revealed, and the favorite dress design portfolio for age-specific consumers was obtained.

Currently, there is little information in the literature about consumers’ preferences regarding dress design. In this study, the use of conjoint analysis reveals and visualizes complex statistical results. This research approach is also applicable to the design and decision-making processes used for other apparel, and it can help designers better incorporate different users’ needs into clothing design.

Although electric vehicles (EVs) offer promising solutions for reducing transport emissions, several obstacles hinder their adoption, and supply chain (SC) stakeholders must systematically identify and address these challenges. Prior research has explored barriers to EV adoption but lacks a global focus on last-mile delivery (LMD). Our study aims to fill this gap, providing a foundation for future research and aiding organizational shifts towards sustainable transportation.

Our study identifies 21 critical barriers to EV deployment in LMDs, validated through a quantitative survey involving 157 SC experts. The survey data are analysed using Exploratory Factor Analysis (EFA), which identifies four distinct dimensions encapsulating the identified barriers. Based on consultations with five experts, the Analytical Hierarchy Process (AHP) ranks these dimensions and individual impediments globally.

The study finds “Energy and Infrastructure Barriers” and “Financial and Resource Barriers” to be the most significant hindrances. Noteworthy individual barriers include the absence of fast-charging stations, insufficient electricity provision and the need for investment in Power Grid upgrades.

This research contributes to the existing literature by offering a robust methodology for classifying and ranking EV adoption barriers through EFA and AHP. It thus provides a globally applicable framework for stakeholders to devise targeted strategies for overcoming these barriers.

This study aims to propose an enhanced eco-driving strategy based on reinforcement learning (RL) to alleviate the mileage anxiety of electric vehicles (EVs) in the connected environment.

In this paper, an enhanced eco-driving control strategy based on an advanced RL algorithm in hybrid action space (EEDC-HRL) is proposed for connected EVs. The EEDC-HRL simultaneously controls longitudinal velocity and lateral lane-changing maneuvers to achieve more potential eco-driving. Moreover, this study redesigns an all-purpose and efficient-training reward function with the aim to achieve energy-saving on the premise of ensuring other driving performance.

To illustrate the performance for the EEDC-HRL, the controlled EV was trained and tested in various traffic flow states. The experimental results demonstrate that the proposed technique can effectively improve energy efficiency, without sacrificing travel efficiency, comfort, safety and lane-changing performance in different traffic flow states.

In light of the aforementioned discussion, the contributions of this paper are two-fold. An enhanced eco-driving strategy based an advanced RL algorithm in hybrid action space (EEDC-HRL) is proposed to jointly optimize longitudinal velocity and lateral lane-changing for connected EVs. A full-scale reward function consisting of multiple sub-rewards with a safety control constraint is redesigned to achieve eco-driving while ensuring other driving performance.

In the construction of charging piles, traditional gas stations possess significant advantages in terms of regional and financial resources. The transformation of gas stations into “refueling+charging” integrated gas stations relies on charging pile manufacturers and government, involving coordination issues with them. This paper aims to propose a joint coordination contract based on the principles of cost-sharing and revenue-sharing. The objective is to achieve systemic coordination among integrated gas stations, charging pile manufacturers, and the government, optimizing the planning of the quantity of charging piles and charging prices.

We have constructed an operational system model based on the Stackelberg game between charging pile manufacturers, integrated gas stations, and government. We have analyzed the optimal quantity of charging piles and charging prices under the impact of government subsidy policies in both decentralized and centralized operation scenarios. Additionally, we have proposed a joint coordination contract based on cost-sharing and revenue-sharing to coordinate this tripartite operational system.

The study reveals that, under simple cooperative contracts, the optimal decision does not yield maximum profits for the operational system due to the “double-marginal effect”. However, under the impact of the joint coordination contract, which combines cost-sharing and revenue-sharing as proposed in this paper, gas stations will consider the charging pile manufacturer’s costs and government subsidies when determining the optimal quantity and price. This not only achieves system coordination but also results in Pareto improvement in the benefits of all system members by adjusting contract parameters.

The value of this research lies in its insights into operational strategies for the construction of charging piles for electric vehicles. By analyzing optimal decisions under different contract arrangements, the study provides guidance to relevant stakeholders, enabling the operational system to achieve greater efficiency and coordination and realize more extensive Pareto improvements. Furthermore, it extends the application of coordination contract theory in the context of charging pile construction and operations.