The Net Promotor Score (NPS) is one of the most well-known metrics for measuring customer loyalty. Originally designed by Reichheld (2003), the measure asks participants to rate their likelihood to recommend the brand on a scale of 0-10, after which respondents are placed into a ‘detractors’ group, ‘passive’ group or ‘promotors’ group. While the measure has attracted much attention due to its simplicity and ease of use, there has equally been much criticism of its reliability, nomological validity and how it is connected to business outcomes. Therefore, the current study aims to understand whether the NPS can be used to identify brand advocacy, and secondly, does the NPS work in a care-based, low switching service context. The study included three unique contexts: at home care, residential care and disability care. In total, there were 611 participants, all of which were based in Australia. A questionnaire was developed and administered to each group and included both quantitative and qualitative questions to understand the consumer experience. The findings supported NPS as an effective metric in a care-based, low-switching context for identifying positive customer advocacy. The implication is that the NPS can be used to track organizational performance; and the extended NPS allows organizations to understand and encourage (address) positive (negative) advocacy. In addition, suggestions for an ‘earned advocacy score’ were provided which may offer a more effective way of understanding consumer experience, while providing clearer, more detailed and more actionable data. The current study provides much needed insight for brand and care organizations to understand how the NPS might be used effectively to facilitate better brand outcomes.
The purpose of this study was to determine the relationships among brand awareness, switching intentions, purchasing behavior, and revisiting intentions. Brand awareness consisted of three factors: brand image, physical environment, and affiliation of coffee brand. Good brand image was associated with reduced switching intentions, whereas negative images were associated with higher switching intentions. Consumer purchasing behavior was most affected by interior decoration, including furniture, decorations, etc. Switching intentions had a negative relationship with revisiting intentions. Finally, purchasing behavior and revisiting intentions showed a positive correlation. As limitations, the only participants were university students, who are not representative of all consumers at coffee shops. Moreover, this study did not divide coffee shops into franchises and individually owned.
The advent of Internet has greatly increased the ability of companies to conduct their business faster, more accurately, over a wider range of time and space, at reduced cost and with the ability to customize and personalize customer offerings. However it may be difficult for companies to sustain a long-run survival in competition environment of e-business. The purpose in this study is to analyze the relationship among site loyalty characteristics, customer's repurchasing intention and switching intention of internet shopping mall. The results showed that reputation variables of internet shopping mall only affected significantly e-loyalty. And the relationship among e-brand loyalty, customer's repurchasing intention and switching intention was significantly supported.
In this paper, an approach for analyzing brand loyalty and brand switching behavior in car insurance market is presented. A two-choice model by Blumen, et al. that uses Markov chain is adopted as a main technique for estimating brand parameters. Survey