Purpose Country image (CI) has been one of the most studied topics in international business, marketing, and consumer behaviour of the past five decades. Nevertheless, there has been no critical assessment of this field of research. The purpose of this paper is to understand the status and evolution of CI research. Design/methodology/approach The authors review 554 articles published in academic journals over 35 years. The authors examine publication, authorship, and research procedure trends in these articles as an empirical and quantitative assessment of the field. The authors identify weaknesses and strengths, and the authors address disconcerting and encouraging trends. Findings The authors find a number of laudatory trends: CI research is becoming less US-centric, more theory driven, more sophisticated in methodology, evaluating more diverse product categories, and making use of multiple cue studies. There are, however, two major methodological concerns: poor replication and questionable generalizability of findings. The authors also noted the influence of CI articles has been decreasing, as well as their rate of publication in top tier journals. Originality/value Since the authors present data that reflect actual practices in the field and how such practices have changed across time, the authors believe the study is of substantial value to CI researchers, journal editors, and instructors whose curriculum includes CI. The critical assessment and subsequent recommendations are accordingly empirically justified.
Purpose A fundamental aspect of hierarchical loyalty programs is that some consumers get rewards that others do not. Despite the widespread use of such programs, academics have long debated whether these benefits are outweighed by the potential negative impact of the differential treatment of customers. This study aims to extend our understanding, examining the impact of message framing on consumers’ reactions to hierarchical loyalty structures. Design/methodology/approach Three online studies were conducted. Study 1 uses advertisements to manipulate the message frame’s emphasis (benefits vs status). Study 2 manipulates consumers’ frame of thought by directing their attention to either changes in benefits or status. Finally, Study 3 uses the proposed framework to reconcile contradictory findings from past research. Findings Low-frequency customers who do not expect to qualify for a superior customer tier tend to reject hierarchical programs when thinking about status. In contrast, when these customers think about concrete rewards, loyalty program messages produce no negative reactions. High-frequency customers are positively affected by communication regardless of the type of benefits framed. Research limitations/implications All studies were done online, potentially limiting the external validity of the results. Nevertheless, the impact of message framing on perceptions about the loyalty program seems to be quite robust across different studies and manipulations. Practical implications When communicating with low-frequency customers, managers should avoid promising status; customers should instead be motivated based on concrete rewards. High-frequency customers are indifferent to alternative emphasis of communication frames. Originality/value Marketing academics have acknowledged the importance of being able to reward top customers without demotivating light and moderate users. This research is the first to provide a solution to this issue.
No abstract
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.