887 resultados para Behavioural Loyalty


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The consensus among researchers is that loyalty is a very complex construct (Javalgi & Moberg 1997). Various typologies have been developed to measure the loyalty construct (e.g., Curassi and Kennedy 2002; Hoare 2000; Knox 1998; Zeithaml, Parasuraman & Berry 1996). Zeithaml, Berry & Parasuraman (1996) developed a service loyalty framework comprising 13 items across five dimensions: “loyalty”, “switch”, “pay more”, “external responses”, and “internal responses”. This framework was criticised by Bloemer, de Ruyter & Wetzels (1999) for having conceptual and empirical limitations. Upon re-examination of the same 13 items, they concluded that the loyalty construct comprised only four factors: “word-of-mouth”, “purchase intentions”, “price sensitivity”, and “complaining behaviour”. Questions remain as to the precise dimensionality of the service loyalty construct as proposed by Zeithaml, Parasuraman & Berry (1996), and its stability or robustness generically, i.e., to what extent is there an invariant factor structure across the range of marketing contexts to which the battery may be applied? This paper reports on the testing of the goodness-of-fit of the five and fourfactor models to data collected in a study of consumer reaction to the service supplied by an Australian Internet Service Provider (ISP), through a series of hypothetical scenarios. In addition, comparisons were conducted with the results of exploratory factor analyses of the eight scenarios. The results suggested that factor structures are unstable across the data subsets, thereby limiting the generalisability and utility of the proposed models.

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This paper explores the effect of financial, social and structural bonds on the loyalty of Arabic five star hotel guests. Three different measures of loyalty are used; attitudinal, behavioural and combined to identify how the three relational bonds affect loyalty. The results show that social and structural bonds increase all types of loyalty whereas financial bonds only increase attitudinal and combined loyalty. It is also found that bonds are perceived to be more important for high-loyal consumers as compared to low-loyal consumers. This all suggests that firms seeking to increase loyalty may need different strategies depending on the consumers being targeted.

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We argue that members of individualist cultures balance their desire to belong with their desire to be different by maintaining a self-image as being loyal but relatively immune to group influence. Consistent with this, in Study 1 there was a strong tendency for people to rate themselves as being more independent (i.e., less conformist) than other people in their college. College students also rated themselves as being highly loyal to the group, however no self - other discrepancies were found on this dimension. This is despite the fact that traits of loyalty were rated more positively than were traits of independence. Study 2 provided evidence that culture influences the pattern of self - other discrepancies. Whereas people from individualist countries self-enhance on independence dimensions, people from collectivist countries self-enhance on loyalty dimensions. Again, these effects could not be explained as being a function of how positive these traits were seen to be, suggesting a cultural explanation rather than a straight forward superiority bias explanation for the observed discrepancies in self - other ratings. Results are discussed in relation to the SCENT model.

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Despite the best intentions of service providers and organisations, service delivery is rarely error-free. While numerous studies have investigated specific cognitive, emotional or behavioural responses to service failure and recovery, these studies do not fully capture the complexity of the services encounter. Consequently, this research develops a more holistic understanding of how specific service recovery strategies affect the responses of customers by combining two existing models—Smith & Bolton’s (2002) model of emotional responses to service performance and Fullerton and Punj’s (1993) structural model of aberrant consumer behaviour—into a conceptual framework. Specific service recovery strategies are proposed to influence consumer cognition, emotion and behaviour. This research was conducted using a 2x2 between-subjects quasi-experimental design that was administered via written survey. The experimental design manipulated two levels of two specific service recovery strategies: compensation and apology. The effect of the four recovery strategies were investigated by collecting data from 18-25 year olds and were analysed using multivariate analysis of covariance and multiple regression analysis. The results suggest that different service recovery strategies are associated with varying scores of satisfaction, perceived distributive justice, positive emotions, negative emotions and negative functional behaviour, but not dysfunctional behaviour. These finding have significant implications for the theory and practice of managing service recovery.

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This paper explores the influence of emotional loyalty on music purchase behaviour. Specifically, it examines whether emotional attachment to an artist's music influences loyalty to that artist, and how emotional loyalty influences a consumer's decision to purchase music. Data collection involved fifteen semi-structured interviews with young (18-30) subjects recruited through non-probability convenience sampling. Findings show that consumers who are emotionally loyal to an artistes) are more inclined to purchase the music rather than download free of charge.

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This study used the Sport Interest Inventory (SII) to examine the motivation of fans attending a game in the Australian Football League. This is the first study to use the SII for professional men’s team sport outside the United States. Confirmatory factor analysis showed the model provided a good fit for the data collected in Australia, and regression analysis revealed that team interest, vicarious achievement, excitement and player interest were the significant factors in predicting and explaining the level of attitudinal loyalty of fans toward their favourite team.

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The present study examined how individual difference factors contribute to attitudes and behaviour of spectators attending an Australian Football League game. The results revealed that four factors: Team Interest, Vicarious Achievement, Excitement and Player Interest were successful in predicting level of loyalty, while five factors: Vicarious Achievement, Player Interest, Entertainment Value, Drama and Socialization predicted game day attendance. This study illustrates the applicability of the Sport Interest Inventory developed in North America to understand motivational factors of Australian sports fans.

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Sales growth and employment growth are the two most widely used growth indicators for new ventures; yet, sales growth and employment growth are not interchangeable measures of new venture growth. Rather, they are related, but somewhat independent constructs that respond differently to a variety of criteria. Most of the literature treats this as a methodological technicality. However, sales growth with or without accompanying employment growth has very different implications for managers and policy makers. A better understanding of what drives these different growth metrics has the potential to lead to better decision making. To improve that understanding we apply transaction cost economics reasoning to predict when sales growth will be or will not be accompanied by employment growth. Our results indicate that our predictions are borne out consistently in resource-constrained contexts but not in resource-munificent contexts.

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This study aimed to develop and validate an instrument to be used by teachers to measure the frequency of behaviors indicative of self-esteem and then to evaluate the instruments' reliability and concurrent validity. The Behavioral Indicators of Self-Esteem (BIOS) Scale proved to be a reliable and valid measure.

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Franchising has been widely accepted as an effective way to conduct and expand businesses. However, a franchise system is not a guarantee of success in the market. A successful franchise system should rely on a close and strong franchising relationship. Franchising is an important relationship management business. Franchising arrangements normally last for a number of years, so the franchisor and franchisee in the arrangement relationship are usually motivated to cooperate with each other. In addition, highly loyal franchisees may be obtained through a successful long-term franchising relationship. Over the last few decades, there has been a tremendous wave of interest in franchising relationships. However, little research has been conducted to determine the reasons for long-term franchising relationships. As a result, this study focuses on the important elements that might lead to a successful long-term franchising relationship. This study attempts to examine empirically three essential constructs (relationship quality, cooperation and customer loyalty), which might lead to successful long-term franchising relationships between franchisees and franchisors among the convenience stores in Taiwan. Mailed questionnaires were utilised to collect the research data. A total of 500 surveys were mailed randomly to the manager/supervisor of convenience stores’ franchisees among the four main franchisors (7-ELEVEN, Family, Hi-Life and OK) in Taiwan. The final sample size is 120, yielding a response rate of 24 per cent. The results show that relationship quality positively influences the cooperative relationships between franchisors and franchisees. Relationship quality is also positively correlated with franchisees’ loyalty. Additionally, the results indicate that the cooperative relationships between franchisors and franchisees are significantly associated with franchisees’ loyalty.

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Brand loyalty is a concept that has garnered considerable interest over recent years from both marketing practitioners and academics alike. While marketers are primarily interested in ways they can generate and increase brand loyalty from their customers, academics strive to conducts research which investigates the antecedents and consequences of customer loyalty (See DeWitt, Nguyen and Marshall 2008; Russell-Bennett, McColl-Kennedy and Coote 2007).