Is all high-risk behaviour premeditated? A qualitative exploratory approach to the self-regulation of habitual and risky driving behaviours

The majority of research surrounding the intervention of risky driving behaviours has operated on the notion that offending behaviour is intentional, leading to a defined theoretical approach on deterrence. This study aimed to investigate the motivations, regulatory behaviours and resisting beliefs that contribute to the occurrence of risky driving behaviours, from the perspective that some behaviour may be unintentional and habitual by nature. An online sample of Australian drivers (N = 46) were recruited to complete a qualitative phone interview regarding their perceptions of risky driving behaviours. Thematic analysis revealed that firstly, speeding and the use of technology while driving (i.e., distraction) were the most commonly reported risky driving habits. Speeding in particular appeared to be both habitual and unintentional, whereas phone use while driving was attributable to addiction, impulses and attitudes. Factors such as drivers’ mentality, the automaticity of the behaviour, and social norms were perceived to make habitual behaviours more difficult to change, whilst personal experiences with legal and physical consequences were perceived to increase risk perceptions and promote behavioural change. Participants also reported using cognitive reframing strategies and behaviours to increase and maintain awareness of the behaviours. Overall, this study has highlighted the resistant and multi-dimensional nature of risky driving habits, as well as the situational factors that preclude them. Based on the findings, future research may benefit by focusing efforts to understanding how habituality fits in the broader deterrence literature, and how such behaviours can be best intervened.     

A test of the impact of pain on automatic motivational processes in people with knee osteoarthritis

ObjectivePeople with osteoarthritis are likely to be physically inactive and current socio-cognitive approaches to changing physical activity in this patient population are generally ineffective. We assessed prospective associations between physical activity and the automatic processes of habit automaticity, automatic evaluations, and automatic self-schema in people with knee osteoarthritis.DesignOne-week prospective.Method253 adults (aged 46–82 years, 72% female, 28% male) with knee osteoarthritis self-reported their physical activity behaviour of the past week, habit automaticity for physical activity and completed two implicit association tests to assess automatic evaluations of physical activity (relative to sedentary behaviour) and automatic self-schema for physical activity. One week later, participants self-reported physical activity and pain while walking over the prior week. Linear regression models assessed associations of each automatic process with subsequent physical activity and the moderation effect of pain and each automatic process on subsequent physical activity, controlling for covariates.ResultsWe did not find evidence of a statistical relationship between physical activity with automatic evaluations, automatic self-schema, or habit automaticity. The inclusion of pain while walking did not moderate the relationship between any automatic process and physical activity.ConclusionAlthough previous research on healthy, young adults suggests that automatic processes affect physical activity behaviour, we did not find evidence to confirm whether a similar relationship exists for older adults with knee osteoarthritis. Replication and extension work testing these research questions is needed to ensure the findings are not a result of measurement and design features of the study.     

Review of the theoretical underpinnings of loyalty programs

A review of the extant literature reveals that the theoretical underpinnings of the majority of loyalty program research rest on psychological mechanisms from three specific domains—status, habit, and relational. We propose that to understand how loyalty programs actually work, a broader, more holistic research perspective is needed to account for the simultaneous effects across these three theoretical domains as well as both cross-customer and temporal effects. The contribution of this approach is a fresh research agenda advanced in 15 research propositions.     

Overpredicting and Underprofiting in Pricing Decisions

This research examines sellers' price‐setting behavior and discovers a naturally occurring mismatch between sellers and buyers: Sellers who make a price decision often consider alternative prices and engage in the joint evaluation mode, whereas buyers who make a purchase decision see only the finally set price and are in the single evaluation mode. This mismatch in evaluation modes leads sellers to overpredict buyers' price sensitivity and underprice their products. However, these effects apply only to products unfamiliar to buyers and without salient reference prices and can be alleviated if sellers are encouraged to mimic single evaluation when making pricing decisions. These propositions are empirically tested and verified. Copyright © 2011 John Wiley & Sons, Ltd.     

Response to the Comments by Larichev,Korhonen and Vargas on ‘Power Relations and Group Aggregation in the Multiplicative AHP and SMART’

We are pleased to continue the open discussion in this journal and we hope that it will contribute to the clarification of the main issues. Aggregation by geometric means has been accepted as a technically sound procedure. The critical comments now seem to concentrate on the establishment of the Multiplicative AHP, the publication of a method for weighted voting before empirical verification, and the significance of negotiations in decision making. Several numerical examples illustrate the arithmetic-mean and geometric-mean calculations, and the legitimacy of rank reversal is revisited. We discuss the issues in the same order here. © 1997 by John Wiley & Sons, Ltd. J. Multi-Crit. Decis. Anal. 6 : 171–174 (1997) No. of Figures: 0. No. of Tables: 5. No. of References: 9.     

Why do new members stop attending health and fitness venues? The importance of developing frequent and stable attendance behaviour

ObjectivesAttendance at health and fitness venues often declines dramatically during the first year of membership. The present study sought to identify factors associated with continued attendance in new members.MethodsA secondary data analysis was conducted on the attendance data of 1726 new members of a health and fitness organisation over the first 12 months of their membership. Associations were assessed between members’ frequency and pattern of attendance during the first quarter of their membership, age, gender, and home location and their attendance levels in the fourth quarter after joining.ResultsThere was a significant reduction in the frequency of attendance over time from a mean of 7.48 times in the first month to a mean of 0.92 in the 12th month after joining. Older age, starting membership in the autumn or spring, frequency of attendance in the first quarter and stability of the context of attendance (i.e., same time and location) in month three were all significantly associated with increased attendance levels in the fourth quarter.ConclusionsThe findings indicate that new members’ early attendance behaviour, in terms of the frequency and the stability of attendance, may be important for supporting continued attendance at health and fitness venues. Interventions to increase longer-term attendance and, in turn, physical activity, should focus on promoting regular and consistent attendance, especially in terms of day, time and location, early on in individuals’ membership of health and fitness venues.