China Europe International Business School

At present, the traditional sports training management mode is obsolete, which can’t do the scientific guidance for athletes’ training. This paper proposes a movement prediction system based on self-organizing mapping network, which firstly adopts a filter combining jitter clear and bi-exponential smoothing to filter the skeletal data of athletes collected by KinectV2. Then an automatic coding and decoding network model is designed, which accomplishes the task of extracting athlete-related motion information by dividing human limb parts and extracting independent features of each part. The extracted athlete movement information is matched with the standard movement template by combining the dynamic time regularization algorithm with the Euclidean distance to achieve the evaluation of the athlete’s training data, and finally, the self-organizing mapping network is introduced to predict the clustering of the athlete’s training performance. The score reliability of this paper’s algorithm is above 97%, and the self-reported movement states of the athletes participating in the test are consistent with the training state clustering results under the cascade self-organizing mapping network clustering. It shows that the model established in this paper is characterized by high accuracy, objectivity, and scientificity, which can accurately predict the performance of athletes and provide scientific training guidance.

This article investigates supply chain recovery and resilience by examining how an automotive supply chain in Wuhan was revived after a complete shutdown. The focus is on the recovery process once the supply chain was reactivated. Using punctuated equilibrium theory (PET), the authors illustrate how such a complete shutdown triggers the reconfiguration of deep structures (i.e., durable organizational aspects, such as routines) and accelerates supply chain recovery. Analyzing data from a three‐tier supply chain, the article shows how deep structure changes can produce spillover effects in attaining the “new normal” equilibrium. The findings highlight five critical deep structure elements—workforce resilience, middle‐management empowerment, process digitalization, supply chain rapport, and public partnership—that underpin recovery and resilience. These elements are grouped into two themes: internal capabilities and external relationships. The reconfiguration of these elements facilitates the supply chain's rapid recovery, with newly acquired internal capabilities more likely to be sustained than external relationships in the new equilibrium. The findings further indicate that both the supply chain role and the severity of the disruption shape the extent of deep structure reconfiguration and the pace of recovery. Overall, this article extends PET to the supply chain context, offering a novel perspective on rapid supply chain recovery and resilience.

Although EFL engagement has gained increasing attention, factors and mechanisms of EFL writing engagement have been rarely explored. Inspired by the ecological systems theory, the current study aims to explore the joint effect of perceived classroom environment, socio-emotional learning competence and motivation regulation strategy on writing engagement among Chinese EFL learners. A total of 701 Chinese EFL undergraduates from two universities participated by filling out a questionnaire battery. Correlational analysis revealed significant correlations among all the constructs and their dimensions as well. Structural equation modeling analysis found that classroom environment and socio-emotional learning directly influenced students’ engagement in English writing, and indirectly affected it by boosting their use of motivation regulation strategies. The above effects remained unchanged when students’ demographic variables were controlled as covariates. Theoretical and pedagogical implications are also discussed.

This study intends to investigate how hydro energy technology innovation, represented by patent publications, affects inclusive, and sustainable development in China. Inclusive and sustainable development are measured through a multidimensional inclusiveness and achievement index. Apart from hydro energy technology, the study uses economic complexity (as a measure of structural transformation), information and communication technology, and regional and local power as additional variables influencing inclusive and sustainable development. The study uses data for 30 years and employs the Markov Switching Regression and Breitung–Candelon frequency‐domain causality approach. The study findings reveal that hydro energy innovation has a positive significant effect in Regime 1 while Regime 2 shows a positive and insignificant effect. ICT has opposing effects under different regimes while the non‐switching regressor economic complexity has negative effects. Local autonomy significantly and positively influences inclusive and sustainable development in Regime 1 while regional autonomy negatively influences development in Regime 2. The causality result demonstrates Granger causality from economic complexity, local, and regional power to inclusive and sustainable development while hydro energy innovation and ICT do not Granger cause it. Based on the results, policy recommendations are provided.

This study examines the impact of the presence of institutional dual‐holders, whose portfolios hold both loans and equity securities of the same firms, on those firms' voluntary disclosures. Using mergers between institutional shareholders and lenders to the same firms as exogenous shocks to identify firms with institutional dual‐holders that have high relative equity ownership, we document that such firms are less likely to provide management forecasts and disclose fewer voluntary 8‐K items. In cross‐sectional analyses, we find that the reduction in voluntary disclosures is more pronounced when institutional dual‐holders have higher board representation and when firms have lower litigation risk. In addition, we find that firms with institutional dual‐holders provide more private disclosures to their lenders via loan contract covenants. Additional analyses indicate that the impact of institutional dual‐holders on corporate disclosures is driven by both their monitoring and trading incentives.

Despite the well‐documented positive individual and interpersonal benefits of receiving help, we argue that it can also lead to potentially damaging moral consequences for the organization. The purpose of this study is to add to our understanding of the moral consequences of receiving help and the inhibitors of reporting unethical behavior in organizations. Drawing from social exchange theory and the moral psychology of obligation, we argue that employees will be less likely to report a wrongdoer internally when they have received help from that person in the past due to feelings of obligation, or feeling that “I don't want to, but I have to.” Using laboratory experiments, we found that participants significantly reduced their internal reporting behavior after receiving a small favor, even when they had no prior relationship with the wrongdoer, due to feelings of obligation. We replicated the effect in a multi‐wave survey study. This effect was strengthened by positive reciprocity beliefs and help solicitation. We conclude by discussing the theoretical and practical implications of our research.

Despite increasing attention to frugal innovation in resource‐constrained environments, we still know little about profiting from frugal innovation. Based on the strategy—tripod—perspective, we investigated the impact of frugal innovation on firm growth performance. We explored how its role varies with market environment (market heterogeneity), institutional environment (knowledge leakage risk), and firm resources (complementary servitization offerings). Together, these elements determine how frugal innovation drives company growth. We examined our hypotheses with survey data from 334 firms in China with a pyramid‐shaped income hierarchy. With regression analysis, we found that frugal innovation has a positive effect on firm growth performance. Furthermore, market heterogeneity weakens while servitization strengthens this effect. However, the moderating role of knowledge leakage risk is insignificant. Our findings underscore the strategic value of frugal innovation and indicate that its efficacy may vary with market dynamics and servitization offerings.

The Fuzzy Analytic Hierarchy Process (FAHP) was employed to evaluate and rank language‐learning applications based on criteria such as engagement, interactivity, feedback, content quality and usability. A pairwise comparison matrix was constructed, fuzzy logic was applied to convert qualitative judgements into numerical values, and these values were normalised to calculate crisp weights for each criterion. These weights assessed and ranked five popular language‐learning apps: Duolingo, Busuu, Babbel, Memrise and Tandem. The results show Duolingo ranking highest with an aggregate score of 20.912, demonstrating superior performance across all criteria. Busuu and Babbel followed with scores of 18.541 and 18.485, respectively, while Memrise and Tandem scored 17.260 and 17.024. The FAHP methodology effectively addresses uncertainty in the evaluation process, offering a structured and reliable framework for users and educators to select the most suitable language‐learning tool.

In the era of Industry 4.0, the advancement in energy technology has taken centre stage to mitigate climate change and promote sustainable development. Ever since the adoption of the United Nations SDGs in 2015, different regions and countries have been moving to achieve these targets by implementing various mechanisms. The OECD is one such region where aggressive funding towards equipment with high energy efficiency and the advancement of technologies for producing and consuming renewable energy are provided to advance towards sustainable development. Given the economic significance of the aforementioned countries, this study evaluates the influence of energy technology innovation on sustainable development in OECD countries. Our research focuses on energy technology innovation, which we measure through the energy technology R&D budget. In addition to energy technology innovation, we consider several other control variables such as state fragility index, financial development and foreign direct investment. In order to achieve the aforementioned goal, we utilize advanced econometric modelling methods of the second generation. These techniques encompass a CSD test, unit root tests, cointegration test, and CS-ARDL model. The result from CS-ARDL suggests that energy technology innovation enhances sustainable development in the short and long run. State fragility is shown to influence sustainable development negatively and significantly. The role of financial development as well as foreign direct investment, is found to be favourable for sustainable development. Based on the outcome, it is recommended that countries of this region significantly increase investment in energy technology, enhance financial development and encourage foreign direct investment along with tackling the fragility of these nations to boost sustainable development.

In the context of the digital transformation of the global economy, digital currency, as a product of financial technology innovation, is gradually changing the traditional financial ecology, especially posing new challenges and opportunities to the operation mode and financial stability of commercial banks. This study systematically comprehends the current status of domestic and international research on the impact of digital currencies on commercial banks by means of a literature review and adopts the case study method and the case analysis method, and clarifies the specific points of influence of the development of digital currencies on the business structure of commercial banks. It reveals the dual influence of digital currency on the business structure and financial stability of commercial banks, and moreover puts forward targeted coping strategies, which are of great theoretical and practical significance for commercial banks to grasp the opportunities and cope with the challenges of digital currency development.

Research has examined creative self-efficacy and intrinsic motivation for creativity as important antecedents to employee creativity, but little is known about how the two antecedents influence each other to foster employee creativity. This study proposes two theoretical possibilities. First, by enhancing resilience, creative self-efficacy can promote intrinsic motivation for creativity, which in turn boosts employee creativity. Task difficulty further strengthens creative self-efficacy’s effect on intrinsic motivation for creativity and employee creativity (via resilience). Second, by fostering creative process engagement, intrinsic motivation for creativity can promote creative self-efficacy, which in turn boosts employee creativity. Task variability further amplifies the effect of intrinsic motivation for creativity on creative self-efficacy and employee creativity (via creative process engagement). Results from two experiments and two field studies largely supported the hypothesized relationships. We extend the creativity literature by untangling the interrelationships between creative self-efficacy and intrinsic motivation for creativity in shaping employee creativity.

College students are one of the most active consumer groups in the e-sports industry as well as a demographic vulnerable to social pressure, making their consumption intentions and behaviors an important research area. We surveyed 442 Chinese college students with experience in e-sports gaming to measure how upward social comparison and materialism influenced their e-sports purchase intentions. The results showed that upward social comparison positively influenced college students’ e-sports consumption intentions with materialism playing a mediating role and the incremental theory of personality and social support acting as moderators. These findings can help college administrators and e-sports industry stakeholders promote the sustainable development of the e-sports industry as well as ensure the mental and physical well-being of students.

As global food security continues to be extremely challenging, countries are seeking optimal solutions for the sustainable development of their agriculture and food systems under environmental and resource pressures. This study explores whether and how digitalization facilitates or hinders China's food security. Based on data from the Food and Agriculture Organization (FAO), World Bank, and United Nations E‐Government survey, we assess digital transformation in terms of digital infrastructure, competition, innovation, and digital governance using the entropy method. Specifically, we use ordinary least‐squares and robust and ridge regressions to estimate the impact of digitalization on food security in China during 2000–2021. The results indicate that digitalization improves food security through production and transaction enablement. Namely, digital infrastructure and competition significantly contribute to food availability, accessibility, and utilization. In addition, digital innovation experiences synergies with other digital indicators to improve food security. However, digital governance decreases food sustainability because of premature digital governance, as well as a lack of digital talent, investment, and technical support. Thus, to increase food security, it is essential to upgrade the digital infrastructure, accelerate digital innovation, cultivate digital talents, improve digital governance, and make full use of digital enabling in production as well as the market.

To solve bankruptcy prediction tasks, we proposed an improved rime optimization technique (RMRIME). The proposed RMRIME algorithm first employs roulette wheel selection step, introducing random individuals into the position updating process to expand the search space and boost the RMRIME’s exploration power. Also, a mutation idea is utilized, which uses info from elite agents to generate mutated individuals. This method aids in increasing population diversity and improving the algorithm’s convergence accuracy. To evaluate RMRIME, it was compared with nine advanced algorithms on the IEEE CEC 2017 benchmark functions. The experimental results show we could significantly improve overall accuracy, with better convergence on the benchmark functions. Finally, a fuzzy k-nearest neighbor-based feature selection, based on the RMRIME, is proposed to tackle the bankruptcy prediction. Experiments performed on three bankruptcy datasets versus the advanced algorithms. The results reveal that the proposed model could achieve an accuracy rate of 91.02%, 97.08% on the dataset, respectively.

As influencer marketing evolves into a dominant force in the marketing landscape, it necessitates a deeper theoretical exploration to understand its strategic implementations and impacts. This article examines the dynamics of influencer marketing within the growing creator economy, emphasizing the interactions among firms, influencers, followers, and digital platforms. We introduce a novel, equity-driven framework that analyzes how influencers contribute to customer equity, how influencers manage and leverage the value from their followers, and how platforms maximize the value from their users. We detail the complex relationships and value exchanges within the influencer marketing ecosystem, highlighting the challenges of measuring the return on investment and influencers’ strategic use of content to maintain authenticity and influence. By synthesizing diverse academic literature and current industry practices, this manuscript provides a comprehensive overview of the mechanisms of value creation and exchange in influencer marketing, offers strategic implications for marketers aiming to optimize their influencer engagements, and outlines future work in the form of the eleven “INFLUENCERS” research directions.

Carbon emissions and climate change pose significant threats to lives on Earth. Environmental degradation has become a pressing concern, endangering millions of lives. Rising carbon emissions are driving global warming and erratic climate patterns exacerbating the crises. Against the backdrop of China’s remarkable economic rise, this study investigates the relationship between Chinese outward foreign direct investment (FDI), globalization, and carbon emissions (CO2) across 102 countries from 2003 to 2018. Utilizing panel data techniques, we explore the determinants of CO2 emissions globally. Our findings indicate that energy consumption, gross domestic product (GDP), and financial development significantly increase CO2 emissions, with coefficients of 0.899, 0.083, and 0.033 respectively. These results underscore the trade-off between economic development and environmental degradation. Conversely, trade openness and China’s outward FDI negatively affect CO2 emissions. However, globalization reflects a positive linkage with carbon emissions. We advocate for trade openness to enhance investments in cleaner production and green technologies for sustainable development. Additionally, the negative linkage between China’s outward FDI and CO2 emissions suggests that Chinese companies adopt environmentally friendly technologies in their operations abroad, contributing to environmental preservation in host countries.

This research explores a phenomenon that we see nearly every day and has implications for how we view people in other nations: Different media outlets may report the same international events either in terms of the nation (e.g., “Russia invades Ukraine”) or in terms of the leader (e.g., “Putin invades Ukraine”). Five studies, conducted during the 2022 Russia-Ukraine Conflict and involving both field and experimental data, find that readers of nation-framed news about the conflict had worse impressions of the people in the associated nation (Russians) than readers of the corresponding leader-framed version. We explain the psychology behind this framing effect and identify its moderators. Our research underscores the importance of responsible media practices in shaping global perceptions.

Integrating the voice endorsement literature and behavioral integrity theory, this research first advances the constructs and develops the scales for supervisors' word‐oriented and deed‐oriented voice endorsement in Study 1. In Study 2, we examine how supervisors' word‐oriented and deed‐oriented voice endorsement influence employee voice behavior. Results from a four‐wave field study demonstrate that supervisors' word‐oriented voice endorsement is negatively related to perceived supervisor behavioral integrity, whereas supervisors' deed‐oriented voice endorsement is positively related to perceived supervisor behavioral integrity. Perceived supervisor behavioral integrity enhances employees' willingness to discuss ideas and ultimately promotes their voice behavior. In addition, a higher (versus lower) level of explanation providing weakens the negative impact of supervisors' word‐oriented voice endorsement and strengthens the positive impact of supervisors' deed‐oriented voice endorsement on perceived supervisor behavioral integrity. Theoretical and practical implications are discussed.

Corporate short-termism, defined as a managerial preference for the short term that undermines a firm’s long-term interests, has become a topic of global concern for governments, investors, and business leaders. In recent years, heightened capital market pressures to maximize shareholder value have intensified focus on the issue, raising concerns that the pursuit of short-term shareholder value may come at the expense of long-term prospects and corporate sustainability. Our review reveals that despite abundant research on short-termism, we have only a fragmented understanding of the factors driving this phenomenon and its consequences. The difficulty of operationalizing the construct and the various firm actions and outcomes examined has hindered consensus as to the specific antecedents and implications of managers’ preference for the short term. Our paper seeks to provide greater clarity on corporate short-termism and to develop a framework for understanding what motivates management to prioritize the short term over the long term and the firm-level consequences of related decisions. In doing so, we hope to advance our state of knowledge on this important issue and motivate scholars to more fully unpack the drivers and outcomes of corporate short-termism.