首都经济贸易大学

Concept Big data and advanced analytics have radically transformed the retail industry's strategic landscape. In response, companies have adopted data-driven decision-making (DDDM) models as a competitive weapon to address these challenges. Objective This study examines the multidimensional relationship between the intensity of DDDM adoption and two outcomes: firm performance and consumer welfare. It also investigates how firm size and retail subsector moderates these relationships. Tools Using a mixed-methods design, we surveyed 386 retail firms across six subsectors and surveyed retail executives regarding application domain barriers in the United States. Quantitative methods included multiple regression, one-way ANOVA, and hierarchical moderated regression, supplemented by surveys from 1200 consumers measuring privacy percept (β = 0.61, p < 0.001, R2 = 0.492). Hierarchical modeling confirmed that firm size (ΔR2 = 0.026, p = 0.001) and specialized sectors like electronics and grocery retail act as significant positive moderators. Consumer satisfaction, product availability, and shopping experience quality improved significantly with increasing DDDM intensity. However, 61.3% of consumers express concern about excessive data collection, while 53.6% acknowledge that personalized offers enhance their shopping experience, revealing a 7.7 percentage point privacy paradox accompanied by a notable trust deficit (only 31.6% consumer trust). Application These findings provide retail managers with ROI estimates (ranging from 2.4× to 3.2×) for analytics investments across application domains while identifying key infrastructure bottlenecks (52% legacy system friction). They also offer policymakers evidence for data governance frameworks and guide practitioners on balancing personalization benefits with privacy protection.

Lithium-ion batteries (LIBs) play a crucial role in efforts to reduce carbon emissions, promote electrification, and enhance environmental sustainability. While existing research has explored the network structure and supply risks of LIBs, the factors shaping the global LIB trade network remain understudied. This research addresses the gap by examining the determinants of the global LIB trade network from 2012 to 2022, utilizing complex network theory, global trade theory, and temporal exponential random graph model (TERGM). The analysis reveals several key findings: (1) Reciprocity, transitivity, and stability have a positive influence on the formation of LIB trade relationships. (2) Countries with similar levels of R D investment, technological innovation, and LIB production and sales are less likely to establish trade connections. (3) Nations with advanced manufacturing capabilities, political stability, and strong environmental performance tend to import LIBs, while those with larger economies, higher industrialization, and greater urbanization are more likely to export. (4) Geographical proximity, historical colonial ties, and regional trade agreements facilitate LIB trade between countries. These insights provide valuable guidance for policymakers and stakeholders seeking to navigate the complex dynamics of the global LIB trade landscape and promote sustainable energy transitions.

Illegitimate tasks, perceived as unreasonable or outside formal role expectations, represent an overlooked academic stressor in graduate education that may undermine research collaboration and well-being. Drawing on Conservation of Resources (COR) theory and the Cognitive Appraisal Theory of Stress, we examine whether illegitimate tasks increase graduate students’ knowledge hiding through relative deprivation, and whether delay of gratification buffers this effect. Study 1 employed a two-stage questionnaire survey (N = 492), and Study 2 used a vignette experiment (N = 216) to reduce common method bias. Results from both studies revealed that illegitimate tasks were positively associated with knowledge hiding, with relative deprivation partially mediating this relationship. Additionally, delay of gratification moderated the relationship between illegitimate tasks and relative deprivation, buffering negative emotional responses. These findings underscore the role of task-related stressors in academic contexts and highlight the buffering effect of self-regulatory traits on maladaptive coping behaviors.

In a cooperative game with a coalition structure and augmenting system (CAS game), players within each priori union are restricted by an augmenting system. Some worths of coalitions (infeasible coalitions) are unknown, such as coalitions across multiple priori unions and certain sub-coalitions within each priori union. By regarding a CAS game as an incomplete information game, we evaluate unknown worths of infeasible coalitions through feasible coalitions, obtaining both the lower and upper worths of infeasible coalitions. Therefore, the interval Owen-augmenting value is proposed, which is an extension of the Owen value. By setting the Harsanyi dividends of unformed coalitions to zero, we introduce another value (i.e., the restricted Owen-augmenting value). Furthermore, we prove that the restricted Owen-augmenting value is a special case of the interval Owen-augmenting value. All proposed values can be used to solve a CAS game.

This paper studies the equilibrium properties of the direct strategy profile in large finite-player games. Each player in such a strategy profile simply adopts a strategy as she would have used in a symmetric equilibrium of an idealized large game. We show that, under a mild continuity condition, (i) direct strategy profiles constitute a convergent sequence of approximate equilibria as the number of players tends to infinity, and (ii) realizations of such strategy profiles also form a convergent sequence of (pure strategy) approximate equilibria with probability approaching one. Our findings provide a simple and decentralized approach for implementing equilibrium in large games, yielding outcomes that are asymptotically optimal both ex ante and ex post.