{"title":"The Impact of Relationship Marketing Strategies on Customer Loyalty in the High-End Hair Salon Industry in Auckland","authors":"Jia Wei- Sim, I. Kularatne","doi":"10.58567/jre03010002","DOIUrl":"https://doi.org/10.58567/jre03010002","url":null,"abstract":"<p class=\"MsoNormal\" style=\"margin-top: 12pt; text-indent: 0cm; text-align: justify;\"><span lang=\"EN-US\" style=\"font-family: 'times new roman', times, serif; font-size: 14pt;\">The business world is a competitive place, and enterprises must cultivate sustainable relationships with their clients to gain customer loyalty. Concepts of relationship marketing (RM) are becoming vital in the service industry. Different RM strategies are used to attract customers, but some of these strategies do not achieve customer loyalty as easily as predicted due to customers’ changing behaviour patterns. This paper investigates the impact of RM strategies on customer loyalty through relationship qualities (customer satisfaction and trust) by concentrating on the high-end hairdressing sector in Auckland. Additionally, this research investigates the expectations of customers of high-end hair salons formed by RM strategies, which influence their satisfaction, trust, and customer loyalty to their service provider. The results indicate that brand image shows a significant relevance to trust, satisfaction, and customer loyalty claiming that brand image is an essential element of RM. Additionally, this investigations revels that, hair salons in Auckland are looking forward to ascertaining a sustainable relationship with their clients through a spectrum of strategies such as positive brand image, good service quality, reasonable price, and good value deals to earn optimistic relationship quality, which will ultimately escalate to customer loyalty. Findings of this research will be useful in supporting hair salons to gain a greater understanding of their customers by adopting effective RM strategies.</span></p>","PeriodicalId":494790,"journal":{"name":"Journal of Regional Economics","volume":"119 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140079264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Regional Economic Development in the AI Era: Methods, Opportunities, and Challenges","authors":"Robertas Damaševičius","doi":"10.58567/jre02020001","DOIUrl":"https://doi.org/10.58567/jre02020001","url":null,"abstract":"<p class=\"MsoNormal\" style=\"margin-top: 6pt; text-align: justify;\"><span lang=\"EN-US\" style=\"font-family: arial, helvetica, sans-serif;\">The dawn of the Artificial Intelligence (AI) era presents a plethora of new possibilities for analyzing regional economic development. The present article provides an in-depth exploration of the methods employed in this field, highlighting the immense opportunities that AI offers while also addressing potential challenges. The role of AI is crucial in complex data handling, enabling efficient analyses of intricate regional economic patterns. This capacity is paramount in shaping economic policies and strategies that are reflective of each region's unique needs and potential. The article firstly explores various AI methods used in economic analysis, including but not limited to machine learning, deep learning, and natural language processing. It delves into the application of these methods in discerning development trends, predicting economic shifts, and identifying strategic economic drivers unique to various regions. Subsequently, the potential of AI to transform regional economic analysis is discussed, encompassing its capability to process large and complex datasets, its power to predict future trends based on past and present data, and its ability to aid in strategic decision-making. However, this new era of AI-driven economic analysis is not without challenges. The latter part of this article thus confronts the issues related to data privacy, ethical use of AI, and the necessity of interdisciplinary skills in AI and economics. This exploration contributes to a broader understanding of how AI is transforming the landscape of regional economic development analysis, illuminating both its present use and future implications. By understanding these dynamics, we can better harness the potential of AI to advance economic prosperity in various regions around the globe.</span></p>","PeriodicalId":494790,"journal":{"name":"Journal of Regional Economics","volume":"42 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136317039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Portfolio Allocation with Medical Expenditure Risk-A Life Cycle Model and Machine Learning Analysis","authors":"You Du, Weige Huang","doi":"10.58567/jre02010005","DOIUrl":"https://doi.org/10.58567/jre02010005","url":null,"abstract":"<p class=\"MsoNormal\" style=\"margin-top: 12.0pt;\"><span lang=\"EN-US\" style=\"font-family: verdana, geneva, sans-serif;\">This paper explores how the medical expenditure risk affects the households&rsquo; portfolio choice across health status theoretically in a life cycle model and empirically using machine learning methods. Medical expenditure risk, as a background risk, has the potential to influence households&rsquo; financial decisions. A higher medical expenditure risk leads to a larger fluctuation and more uncertainty in households&rsquo; consumption and therefore utility. As a result, risk-free assets become more attractive. Our machine learning analysis provides evidence that aligns with the predictions of the theoretical life cycle model. Specifically, households with better health hold a larger proportion of stocks in their portfolios. Furthermore, when facing increased medical expenditure risk, households in good health demonstrate a greater willingness to invest in safe assets.</span></p>","PeriodicalId":494790,"journal":{"name":"Journal of Regional Economics","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136210286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thomas M. Fullerton Jr., Robert J. Tokle, Bryce Jones, Steven L. Fullerton
{"title":"Does Rocky Mountain Credit Union Competition still Affect Commercial Bank Interest Rates?","authors":"Thomas M. Fullerton Jr., Robert J. Tokle, Bryce Jones, Steven L. Fullerton","doi":"10.58567/jre02010004","DOIUrl":"https://doi.org/10.58567/jre02010004","url":null,"abstract":"<p class=\"MsoNormal\" style=\"margin-top: 12.0pt;\"><span lang=\"EN-US\" style=\"mso-bidi-font-size: 10.5pt; font-family: 'Cambria',serif; mso-fareast-font-family: 宋体; mso-bidi-font-family: 'Times New Roman';\">Historically, increased credit union competition in Idaho and Montana has caused commercial banks to offer higher deposit rates to savers and lower loan rates to borrowers. Data are collected for the second quarter of 2018 to examine whether that pattern still holds true. Unlike prior studies, empirical results indicate that credit union competition no longer exerts statistically reliable impacts on deposit rates or loan rates in this northern Rocky Mountain region of the United States. Potential contributing factors include bank and thrift consolidation in recent years, the low interest rate environment prevailing during the late 2010s, and greater emphasis on non-interest forms of intermediary competition in the banking markets that comprise this regional economy.</span></p>","PeriodicalId":494790,"journal":{"name":"Journal of Regional Economics","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136236193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}