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291.

Si, K., & Dai, X. Marketing Letters (2022), have introduced an intriguing and potentially useful construct to the marketing literature: memory-search frame. Our commentary centers on Si and Dai’s study 3. This study focuses on the possible moderating effect of age on the typical length of consumers’ memory-search frame. Its results imply that older consumers have longer memory-search frames compared to younger consumers. However, these correlation-based results are not strong evidence. We briefly review past research that is inconsistent with these results and pose additional questions to the authors that they might pursue in future research.

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292.
The International Journal of Nonprofit and Voluntary Sector Marketing published practitioner and scholarly research for 25 years before it was rebranded to the Journal of Philanthropy and Marketing. This research uses an emergent content analysis design to review all 629 research articles published in the first 25 volumes to document the field's marketing, theoretical, and methodological interests. This article provides important benchmark numbers to compare how the field evolves as the rebranded journal moves forward with a broader topical range.  相似文献   
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Positive perceptions of career success are critical among accounting professionals, given their connection with performance, turnover and organisational commitment. Drawing on career stage theory, this study explores the perceptions and experiences of career success among 475 aspiring (Accounting/Finance students), 305 early career accountants (ECAs) and 165 managers/recruiters in Australia. Findings reflected both objective and subjective dimensions of career success alongside notable differences between aspiring accountants and ECAs, highlighting shifting views across the career stages of exploration and establishment. While ECAs were largely positive about their access to career success, managers/recruiters identified ways to create further opportunities for ECAs' career success.  相似文献   
295.
We propose a count-data model with hierarchical random effects for the posterior insurance ratemaking of vehicles belonging to a fleet, by allowing random effects for the fleet, the vehicles, and time. We derive a simple closed-form ratemaking formula based on a hierarchical random-effects specification. We estimate the corresponding econometric model and compute insurance premiums according to the past experience of both the vehicle and the fleet. Our model can be used in other count-data applications with random individual and common effects on events involving many agents having activities with a principal in a hierarchical principal–agent environment, such as in education, health care management, finance, and business firms.  相似文献   
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