The Timing of Repeat Purchases of Consumer Durable Goods: The Role of Functional Bases of Consumer Attitudes

Abstract

In an attempt to bring consumer psychology theories into research on the timing of repurchase of consumer durables, the authors suggest that attitude functions (knowledge, value expressive, social adjustive, and utilitarian) can help explain and predict interpurchase intervals. Adopting an interactionist perspective, the authors propose that the effect of the attitude functions is contingent on contextual factors, which they theorize as the nature of the product (along public-private and luxury-necessity dimensions) and the nature of the decision (forced or unforced purchase decision). Hypothesis testing is facilitated by survey data on actual purchase decisions and hazard models that incorporate individual heterogeneity. The results support the suggested role of attitude functions in explaining and predicting interpurchase intervals and suggest means by which managers can position their products to shorten interpurchase intervals.

The Promotion of Responsible Tourism Management Through Digital Media

“…Specifically, this empirical investigtion uses the 'pace of technological innovativeness' (Greenhow & Robelia, 2009;Grewal, Mehta &Kardes, 2004;Garcia & Calantone, 2002), 'the technological acceptance model' (Rauniar, Rawski, Yang & Johnson, 2014;Davis, 1989;Davis, Bagozzi, & Warshaw, 1989), and 'technological anxiety' (Garcia & Calantone, 2002) measures to explore the hoteliers' attitudes toward web technologies. In addition, it also uses the CSR measures that relate to the hospitality businesses' commercial, ethical and social responsibility (Frey & George, 2010;Singh & Del Bosque, 2008;Holcomb et al, 2007;Carroll, 1999).…”

“…Although recent communication research has developed indicators to measure the dialogic level of online stakeholder engagement (Moreno & Capriotti, 2009), little research has attempted to identify the legitimacy constraints on managing the communications of sustainable and responsible behaviours through digital media (Sparks, Perkins & Buckley, 2013). Therefore, this study investigates the owner-managers' stance on "technology acceptance" for marketing communications (Greenhow & Robelia, 2009;Grewal et al, 2004;Garcia & Calantone, 2002;Davis, 1989).…”

“…Therefore, the researcher has adapted six items from the 'pace of technological innovation'; that were intended to measure the practitioners' attitude toward technological change in marketing. Originally, this scale reported a construct reliability of 0.97 (Grewal et al, 2004) and had used confirmatory factor analysis to provide evidence to support the scales' convergent and discriminant validities.…”

User-Generated Open Source Products: Founder's Social Capital and Time to Product Release

“…We estimated two models using the sample A data: one with only project feature variables and another that includes both the social capital variables and the interplay of the developer user and end user communities. We account for censoring by following Grewal et al (2004) and removing censored observations from the holdout sample before calculating the predictive validity scores. With the sample B data, we compared the two models in terms of their root mean square errors (RMSE), mean absolute errors (MAE), and Thiel's U statistic (TUS) (Greene 2003).…”

The effect of social media interactions on customer relationship management

“…We choose a parametric Weibull hazard model formulation to account for the baseline trend of the upselling likelihood during the customer lifetime and to allow for a time-varying formulation of our focal variables, pre-and post-purchase interactions, service requests, and service complaints (Grewal et al 2004;Kamakura et al 2004). The model defines the hazard rate h(t|k i ) for customer i as:…”