The robustness of the behavioural-intentions battery in services scenarios
McQuilken, Lisa and Shaw, Robin 2003, The robustness of the behavioural-intentions battery in services scenarios, in ANZMAC 2003 : a celebrations of Ehrenberg and Bass : marketing discoveries, knowledge and contribution, conference proceedings, ANZMAC, Dunedin, N.Z., pp. 2190-2196.
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Title
The robustness of the behavioural-intentions battery in services scenarios
ANZMAC 2003 : a celebrations of Ehrenberg and Bass : marketing discoveries, knowledge and contribution, conference proceedings
Editor(s)
Kennedy, Rachel
Publication date
2003
Start page
2190
End page
2196
Publisher
ANZMAC
Place of publication
Dunedin, N.Z.
Summary
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.