Recognizing the growing potential of AI-generated chatbots in healthcare and healthcare marketing, this study investigates how different types of chatbot-expressed empathy influence user responses in stigmatized versus non-stigmatized health contexts. Perceived authenticity is introduced as a key mediator. Drawing on Mind Perception Theory, a 3 (empathy: none, cognitive, affective) × 2 (illness type: stigmatized, non-stigmatized) online experiment was conducted. The findings show that affective empathy reduced perceived authenticity, which subsequently decreased user satisfaction, perceived understanding, reuse intention, and follow intention. These indirect effects varied by illness type: in stigmatized contexts, non-empathetic communication was viewed most favorably, whereas in non-stigmatized contexts, cognitive empathy was more effective. The results suggest that chatbot-delivered empathy is not uniformly beneficial and must be carefully aligned with user expectations and psychological needs. This research provides both theoretical insight and practical recommendations for designing authentic, context-sensitive chatbot communication in healthcare and healthcare marketing settings.
This study examined how internal public relations encourages employees to participate in organizational citizenship behaviors. Using a national survey of employees (N = 339), we tested a conceptual model that proposed linkages among dialogic internal communication, organizational social capital, communal relationships, and organizational citizenship behaviors. The results suggest dialogic internal communication can enhance organizational social capital and encourage internal publics to participate in organizational citizenship behaviors. Additionally, organizational social capital mediated the effects of dialogic internal communication on communal relationships and organizational citizenship behaviors. The findings highlight a critical connection between public relations and social identity perspectives within organizational contexts.
This study clusters consumers according to their hourly online shopping consumption patterns and develops optimized advertising strategies that can be practically applied by companies. Specifically, we considered multidimensional variables related to consumers, including demographic characteristics, shopping frequency, information search and content consumption characteristics, and lifestyle traits. We explored consumer types by comparing various clustering algorithms and applying the optimal clustering method for each time period. The analysis results show significant differences in payment amounts according to payment time periods. Regarding consumer types, consumption tendencies are distinctly differentiated by payment time periods, with each cluster showing different characteristics. This study is significant in that it makes a practical contribution to optimizing marketing activities by time period by establishing advertising strategies tailored to changing consumer characteristics and more efficiently allocating advertising budgets through consumer segmentation based on actual payment data.
This study uses stakeholder theory to investigate the impact of firms' ESG activities on performance, paying particular attention to the moderating roles of executive ESG compensation (the "carrot") and external ESG audits (the "stick"). Utilizing Thomson Reuters ESG data from 1,523 US firms over six years (2017–2022) and applying fixed-effects models, the analysis reveals that environmental and social activities are positively associated with firm performance. In contrast, governance activities are negatively related to financial performance but positively related to non-financial outcomes. Furthermore, executive ESG compensation and external audits positively moderate the relationship between ESG activities and firm performance. Executive compensation serves as a filtering mechanism that promotes performance-oriented ESG initiatives, while external audits enhance credibility and foster stakeholder trust through independent verification. These findings provide empirical support for the assertion of stakeholder theory that ESG activities can generate value for multiple stakeholder groups simultaneously.
This study investigates and compares price-ending strategies employed by online and offline retailers. Analyzing 210,456 prices from retailers in US, South Korea, and China reveals significant differences in price-ending between online and offline retail formats. Online retailers exhibit a lower propensity to utilize round prices (e.g., ending in 0) and just-below prices (e.g., ending in 9) than offline retailers. This research discusses potential explanations for these observed discrepancies, focusing on the distinct price-setting environments and consumer purchasing behaviors of online and offline retail.
