1,720,991 research outputs found
Knowledge hiding in socioeconomic settings: Matching organizational and environmental antecedents
No full textManagerial studies have long approached socioeconomic settings as “isolated” domains interested in defending themselves from the “external environment”. As a consequence, several managerial models have been developed to address employees and decision makers in protecting ‘internal resources’ as a means to ensure organizations’ suitable long-term survival. Building upon this wide and generally recognized assumption, the paper adopts the interpretative lens provided by a resource-based view and relationship marketing to investigate the influence of employees’ perceptions about internal organizational assets and environmental dynamics on employees’ orientation to knowledge hiding as a way to protect individual knowledge. The perceptions of 525 employees engaged in 21 Italian innovative small and medium enterprises have been analyzed using structural equation modeling. The paper underlines the need to support employees in overcoming an isolation-based view of so- cioeconomic settings in order to enhance knowledge value through a definition of human-based managerial models and research paths
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
AI-Generated review summaries and consumer decision-making: Testing the Information Acceptance Model on Gen Z online shoppers
No full textIn the digital age, online customer reviews have become a critical source of information guiding consumer purchase decisions. As the volume of user-generated reviews increases, e-commerce platforms have begun to implement generative AI (GenAI) to synthesize these reviews into concise summaries. This study investigates how consumers perceive and adopt AI-generated review summaries and whether such adoption influences their purchase intention. Drawing on the Information Acceptance Model (IACM), the study examines the predictive role of information-related variables and consumer attitudes in the context of AI-mediated electronic word of mouth (eWOM). A quantitative survey of 153 Gen Z online shoppers was conducted and analyzed through structural equation modeling (SEM). The results indicate that, contrary to prior assumptions, information quality and credibility do not exhibit a significant influence on perceived usefulness. Instead, informational needs and consumers’ attitudes toward the information emerge as the primary drivers of perceived usefulness in the context of AI-generated review summaries. Moreover, perceived information usefulness emerges as a strong predictor of information adoption, which subsequently exerts a significant positive influence on purchase intention. These findings suggest that AI-generated summaries may trigger heuristic rather than systematic information processing, highlighting a shift in the determinants of eWOM effectiveness in AI-mediated environments
What Drives Green Purchase Intention: A Cross-Cultural Study
No full textAs sustainable consumption and environmental consciousness gain global importance, understanding the psychological and cultural factors influencing green consumer behavior has become increasingly crucial. This study examines the effects of environmental awareness, environmental concern, and self-concept consistency on green purchase intentions, while exploring cross-cultural differences between Italy and Turkey. Using a survey-based design, data were collected through a structured. The findings reveal that environmental awareness positively influences environmental concern and green purchase intentions, though it does not significantly impact self-concept consistency. Both environmental concern and self-concept consistency were found to affect green purchase intentions positively. Cross-cultural analysis indicates no significant differences between the two countries in environmental awareness and green purchase intentions; however, Italians exhibit higher environmental concern, whereas Turkish participants show greater self-concept consistency. These results underscore the importance of integrating cultural sensitivity into environmental campaigns. For Italy, leveraging emotional and culturally resonant appeals may enhance the impact of high environmental concern, while in Turkey, aligning messages with personal identity and self-consistency could foster stronger sustainable behaviors. Overall, the study contributes to the literature by highlighting how psychological drivers and cultural variations jointly shape green purchasing patterns, offering valuable insights for targeted and practical sustainability strategies
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