The robustness of the behavioural-intentions battery in services scenarios

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.

An empirical study on the influence of environmental labels on consumers

Purpose - Despite research studies indicating strong support for labelling information, uncertainty remains with respect to how labels influence consumers. This paper attempts to empirically investigate how consumers who differ in terms of environmentalism respond to labels.

Design/methodology/approach - The data were collected on an Australian sample using a structured questionnaire administered on the phone using quantum research (CATI) data collection services. A total of 155 questionnaires were completed and used for data analysis. The data were analysed using both descriptive measures and correlations between variables.

Findings - There appears to be a proportion of consumers that find product labels hard to understand. The research found that there are consumers who will buy green products even if they are lower in quality in comparison to alternative products, but would look for environmental information on labels. With respect to price sensitive green consumers, there appears to be a relationship between price sensitivity and 'always' reading labels as well as indicating that there is 'sufficient' information on product labels to make informed purchase decisions.

Research limitations/implications - It was beyond the scope of the research to account for some of the utilitarian approaches to interpretation or in-depth comprehension of label information. The sample size of 155, although selected using a probability method, may, to some extent, limit the overall accuracy of the results.

Practical implications - Offers some important information on different green consumer segments that would alert managers on how best to position environmental labels. Findings such as 'Satisfied with labels' correlates with 'Labels are accurate', which suggests that businesses need to provide a clear, accurate and easily legible label design to encourage satisfaction with the accuracy of content and the communication aspects of a label.

Originality/value - Contributes to better understanding of green customers purchase intentions and the usefulness of ecological product labels. It offers some insights and assistance to businesses in planning their green product/labelling strategies.