任务导向还是社交导向?在线定制信息交互内容特征对顾客参与表现的影响研究北大核心CSSCI

在线定制信息交互是企业征集顾客需求的主要方式,信息交互内容设计对引导顾客积极参与在线定制社区并提高参与表现有重要意义。本文基于刺激-机体-反应(S-O-R)理论框架建立了信息交互内容特征对顾客参与表现的影响机制模型。基于目标导向理论及心象理论提出了信息交互的内容特征,讨论了目标导向类型、顾客体验价值、参与表现之间的相互关系,同时考虑了内容特征中文本型心象唤醒的调节作用。本文首先采用2(目标导向类型:任务导向vs.社交导向)×2(文本型心象唤醒:有产品功能描述vs.无产品功能描述)组间实验研究检验了内容特征如何通过顾客体验价值影响参与表现,然后基于海尔定制社区数据验证了内容特征对顾客参与表现的影响。结果表明,目标导向类型对顾客体验价值和参与表现都有差异性的影响作用;顾客的体验价值对参与表现具有积极的影响作用;同时,文本型心象唤醒对目标导向类型与体验价值、参与表现的关系都具有显著的调节作用。     

Avoiding Covid-19 risk information in the United States: The role of attitudes,norms, affect,social dominance orientations,and perceived trustworthiness of scientists

This study seeks guidance from the planned risk information avoidance model to explore drivers of risk information avoidance in the context of COVID-19. Data were collected early during the pandemic. Among our most notable results is that participants who are more oriented toward social dominance and are more skeptical of scientists’ credibility have (1) more supportive attitudes toward risk information avoidance and (2) feel social pressure to avoid risk information. The findings of this study highlight how the role of skepticism in science and intergroup ideologies, such as social dominance, can have important implications for how people learn about health-related information, even in times of heightened crisis.     

Explainable deep learning powered building risk assessment model for proactive hurricane response

Climate change and rapid urban development have intensified the impact of hurricanes, especially on the Southeastern Coasts of the United States. Localized and timely risk assessments can facilitate coastal communities’ preparedness and response to imminent hurricanes. Existing assessment methods focused on hurricane risks at large spatial scales, which were not specific or could not provide actionable knowledge for residents or property owners. Fragility functions and other widely utilized assessment methods cannot model the complex relationships between building features and hurricane risk levels effectively. Therefore, we develop and test a building-level hurricane risk assessment with deep feedforward neural network (DFNN) models. The input features of DFNN models cover the meta building characteristics, fine-grained meteorological, and hydrological environmental parameters. The assessment outcomes, that is, risk levels, include the probability and intensity of building/property damages induced by wind and surge hazards. We interpret the DFNN models with local interpretable model-agnostic explanations (LIME). We apply the DFNN models to a case building in Cameron County, Louisiana in response to a hypothetical imminent hurricane to illustrate how the building's risk levels can be timely assessed with the updating weather forecast. This research shows the potential of deep-learning models in integrating multi-sourced features and accurately predicting buildings’ risks of weather extremes for property owners and households. The AI-powered risk assessment model can help coastal populations form appropriate and updating perceptions of imminent hurricanes and inform actionable knowledge for proactive risk mitigation and long-term climate adaptation.     

Putting the individual and context back into national human resource development research: A systematic review and research agenda

Conceptualization of national human resource development (NHRD) emphasizes that it is an ongoing development process of the individual that is shaped by context. However, the extant literature has focused primarily on describing and evaluating NHRD policies and interventions in different countries with limited consideration of NHRD across the lifespan and the interaction of life stage with context. Using ecological systems theory (EST) and a lifespan development perspective (LDP), we present a systematic review of the NHRD literature based on 310 sources. We identify key themes and gaps in research across the lifespan and at distinct levels of the ecological system. We build on this review to suggest future research informed by both EST and an LDP. We propose a future research agenda focused on several key areas, including: the developing individual as the primary focus of NHRD; the dynamic relationship between NHRD microsystems and how this evolves over time; the exosystem and macrosystem, which provide the context of the NHRD development experience for the individual over their lifespan; and the imperatives of directing research attention to top-down and bottom-up influences within the ecological system. We also propose three methodological innovations to address many of the questions raised by our review, drawing on national archive databases, the use of historical methods and a focus on longitudinal data analysis. Finally, we highlight the practical implications of our analysis for ecosystem and microsystem NHRD actors.     

The Effect of Competition on the Efficient–Responsive Choice

In determining their operations strategy, a firm chooses whether to be responsive or efficient. For firms competing in a market with uncertain demand and varying intensity of substitutability for the competitor's product, we characterize the responsive or efficient choice in equilibrium. To focus first on the competitive implications, we study a model where a firm can choose to be responsive at no additional fixed or marginal cost. We find that competing firms will choose the same configuration (responsive or efficient), and responsiveness tends to be favorable when demand uncertainty is high or when product competition is not too strong. Intense competition can drive firms to choose to be efficient rather than responsive even when there is no additional cost of being responsive. In such a case, both firms would be better off by choosing to be responsive but cannot credibly commit. We extend the basic model to study the impact of endogenized production timing, multiple productions and product holdback (or, equivalently, postponed production). For all these settings, we find structurally similar results; firms choose the same configuration, and the firms may miss Pareto‐improvements. Furthermore, through extensions to the basic model, we find that greater operational flexibility can make responsiveness look less attractive in the presence of product competition. In contrast to our basic model and other extensions, we find it is possible for one firm to be responsive while the other is efficient when there is either a fixed cost or variable cost premium associated with responsive delivery.