Attendee-based brand equity
Introduction
Annual meetings of associations are highly profitable to the hospitality and tourism industry because of the large number of delegates they bring to conference destinations. Association meetings represent the most important segment of the convention industry, accounting for 71% of direct expenditures in the convention industry (Alkjaer, 1993), 78% of all attendees, and 80% of all conventions and meetings (Edelstein & Benini, 1994). Recently, more attention has been focused upon managing and marketing association meetings because of (1) the growing number of associations competing for attendees (Loverseed, 1993); (2) the high proportion of association revenue derived from annual meetings (about 30.2% of their annual income) (Shure, 2004); (3) the increasing conference expenses borne by association members (Oppermann & Chon, 1997); and (4) participant decision-making as influenced by the perception of meeting destination and participant needs and finances (Oppermann & Chon, 1997). In hospitality and tourism research, interest has been therefore growing in association meeting attendee behaviors or attendee information processing that can be used to design competitive conference marketing and management strategies.
From the perspective of attendee behaviors, existing convention literature largely focuses on the site selection process (Go & Govers, 1999; Hu & Hiemstra, 1996) and the meeting participation process (Oppermann, 1995; Oppermann & Chon, 1997; Price, 1993; Um & Crompton, 1992). These studies identified criteria and factors of site selection and conceptualized the meeting participation process by examining motivators, facilitators, and inhibitors to convention attendance, which have contributed to managerial and research implications in the convention industry. However, relative to hospitality and tourism literature, convention lags far behind in-depth research. A more robust approach should be used to analyze attendee behaviors.
Conference selection involves high perceived risks arising from intangible attributes (e.g., education and social networking). Such characteristics make it difficult for a conference organizer to clarify service attributes and lower perceived risks. A key to success in service marketing is to “tangibilize the intangible” (Berry, 1986, p. 6). An effective way of increasing the tangible nature of a service is to use a brand as an extrinsic cue or an icon. As such, the brand becomes a symbol for customer perceptions of the firm, its products, and its services (Keller, 2003) and a powerful means of creating and sustaining competitive advantage (Aaker, 1997; Aggarwal, 2004; Fournier, 1998). It is also widely recognized that well-branded tradeshows, conferences, or other meetings will develop trust in participants and, thus, ensure committed repeat attendance (PCMA, 2002a).
Brand equity has been used as a barometer of brand strength through the use of its logo, symbol, or name (Farquhar, 1989; Morgan, 2000). Strong brands contribute to enhancing consumer trust of the intangible purchase, tangiblizing the intangible goods, and reducing the perceived risk for the service purchase by assisting customers in visualizing and understanding the intangible aspects of the service product (Berry, 2000). Cultivating strong brands with high equity improves (1) the probability of brand choice, (2) brand performance, (3) cash flow, (4) willingness to pay a premium, (5) marketing productivity, (6) product positioning, and (7) brand knowledge in consumers’ minds (Kapferer, 2004; Keller, 1993; Simon & Sullivan, 1993). A conference with high brand equity would be, therefore, assumed to enhance marketing activities and brand loyalty, thereby maintaining high revenues and competitive positioning in the meeting market.
Despite the well-recognized significance of brand equity concepts in business (Ailawadi & Keller, 2004; Keller, 2003; Yoo & Donthu, 2001) and service literature (Berry, 2000; Kim & Kim, 2004; Prasad & Dev, 2000), no study has yet been published in convention literature to examine conference brand equity. However, several hospitality researchers have conducted brand equity research in the hotel and restaurant industry. For example, Kim and Kim (2004) investigated brand equity of fast food restaurants using four dimensions: brand loyalty, brand awareness, brand image, and perceived quality. Prasad and Dev (2000) examined what constitutes brand equity in the hotel industry through brand awareness and a brand performance index. Brand equity research provides a more detailed and comprehensive picture of consumer behavior because it spans various brand factors, including brand awareness, brand associations, brand image, brand trust, brand personality, and brand loyalty (Aaker, 1996; Keller, 1993; Farquhar, 1989; Yoo & Donthu, 2001).
Conference brand equity from the perspective of attendees (attendee-based brand equity) is expected to capture a richer, more detailed portrait of attendee consumption experiences and paths to future intentions than the extant literature. Sampling CHRIE members who had previously attended the annual CHRIE conference, this study examined attendee behaviors from the concept of attendee-based brand equity. Specifically, the purposes of the study are (1) to identify key brand associations in brand knowledge and (2) to investigate attendee behaviors through the flow from brand knowledge (brand associations and brand awareness) to “the differential effect of brand knowledge” (brand satisfaction, updated expectation of brand value (UEBV), brand trust, and attitudinal brand loyalty). Furthermore, this study attempts to provide in-depth research and managerial implications about conference attendee behaviors from which sound conference management and marketing are derived.
Section snippets
Definition of brand equity
Several researchers provide subtly different descriptions and definitions of brand equity. Brand equity has been described as (1) “a set of brand assets and liabilities linked to a brand, its name, and symbol, that add to or subtract from the value provided by a product or service to a firm and/or to that firm's customers” (Aaker, 1991, p. 15); (2) “the differential effect of brand knowledge on consumer response to the marketing of the brand” (Keller, 1993, p. 8); and (3) the power that a brand
Data collection
Using an online survey instrument, this study sampled CHRIE members who had previously attended the annual CHRIE conference. Originally, the survey was electronically distributed to 1249 CHRIE members; this was later reduced to 1094 CHRIE members due to undeliverable emails and partial responses. In the end, 213 members responded to the survey, a response rate of 19.5%. Respondents were mostly doctoral degree holders (67%) and academia occupants (91%). The gender ratio of the respondents was
Measurement model testing
Cronbach's alpha used to estimate the reliability of multi-item scales for each construct is listed in Table 1: professional education (.85), social networking (.78), site selection (.73), staff service (.96), self-image congruence (.97), brand awareness (.79), brand satisfaction (.95), brand trust (.92), UEBV (.92), and attitudinal brand loyalty (.93). All the alpha coefficients were above the cut-off point of .7 (Nunnally, 1978), indicating an acceptable level of reliability for each
Discussions and conclusions
SEM indicated that professional education, staff service, site selection, and social networking were positively related to brand satisfaction whereas brand awareness was negatively associated with it. Positive relationships existed on each path for brand satisfaction–UEBV, UEBV–brand trust, brand satisfaction–brand trust, and brand trust–attitudinal brand loyalty. Professional education was the strongest brand association to predict brand satisfaction, followed by staff service, site selection,
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