Incorporation of coping planning into the behavior change model that accounts for implementation intention

Hsieh, Hsu-Sheng; Kanda, Yusuke; Fujii, Satoshi

doi:10.1016/j.trf.2018.10.025

Cited by 13 publications

(5 citation statements)

References 53 publications

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“…Coping behaviors have been related to consumer or tourist intentions in a few recent research studies. Hsieh et al [76] studied sustainable transportation and noted empirical support for the notion that coping planning influences behavioral changes in relation to changes in car usage and increased use of pro-environmental modes.…”

Section: Coping Behaviors and Intention To Travelmentioning

confidence: 99%

Perceived Risk and Food Tourism: Pursuing Sustainable Food Tourism Experiences

An,

Choi,

Eck

et al. 2023

Sustainability

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While food can function as a component product of tourism, there remains a need for food tourism to become more sustainable. This study sought to discover what risk dimensions tourists perceive in food tourism and to enhance understanding of what actions and coping behaviors tourists take to lower levels of perceived risk in a food tourism setting. Data were collected in March 2023 for two weeks from Chinese tourists who considered traveling to Jeju Island, South Korea. A total of 303 responses were analyzed using exploratory factor analysis, confirmatory factor analysis, and structural equation modeling to test 13 hypotheses. Results identified physical risk, communication risk, and food-related risk as concerns for tourists, and the results confirmed support for 11 of the hypotheses tested. This study has theoretical implications for supplementing insufficient prior research by examining the risk factors perceived by tourists when participating in food tourism. Practical implications from this study include ways to reduce the level of perceived risk dimensions for sustainable food tourism experiences.

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Section: Coping Behaviors and Intention To Travelmentioning

confidence: 99%

Perceived Risk and Food Tourism: Pursuing Sustainable Food Tourism Experiences

An,

Choi,

Eck

et al. 2023

Sustainability

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“…In this module, parents learned how to overcome barriers by targeting their selfefficacy. This was done by introducing if-then plans (Hsieh et al, 2019, Hagger et al, 2016 and by providing ideas on helpful meal preparation. Module 4 (Stronger together) is about social support and conflict resolution in the progress of parental habit change with giving advice on how to behave in difficult situations (staying calm, finding a solution by remembering the initial goal, perspective taking and active listening, making statements from one's perspective).…”

Section: A Healthy Parental Feeding Programmentioning

confidence: 99%

Adaption and Evaluation of a Self-Efficacy Intervention for Parental Feeding Practices

Vogel

Hoor

Mergelsberg

et al. 2022

HPB

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Background: A healthy parental feeding program consisting of six sequential modules was developed to improve parental feeding behaviours. The six modules focusing on various parental feeding behaviours were found to be moderately effective in changing behaviour. In this study, one of those modules (the self-efficacy module) was systematically adapted and evaluated using Intervention Mapping (IM). Methods:In a literature review (Study 1), the relevance of self-efficacy as a determinant for parental feeding habits was examined. In study 2, the behaviour change techniques used in the original healthy parental feeding program were analysed and adapted to fulfil the related parameters of effectiveness. In study 3, the effectiveness of the new module was pilot-tested among parents (N = 27). Parents received either the original self-efficacy module (group 1), the adapted self-efficacy module (group 2), or no additional module (group 3/control-group). Parental self-efficacy was measured at baseline, post-intervention and at one-week follow-up. Results:In study 1, self-efficacy was identified as a relevant (i.e., important and changeable) determinant for parental feeding habits. In study 2, parameters for effectiveness of the used behaviour change techniques were added where necessary, and texts were changed to improve understanding. In study 3, both the original and new module appeared to increase self-efficacy compared to the no-intervention control group.Discussion: This study was an attempt to adapt existing behaviour change programs based on theory and evidence. However, we were not successful in changing selfefficacy more as compared to the original module.

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“…Work/business travel or traveling longer than expected makes travellers dissatisfied and unhappy. Because of serious problems (such as traffic pollution, traffic congestion, traffic accidents, and physical health problems) brought by rapid urbanization and motorization, more studies focusing on the travel behaviour change program were suggested to make car trips unattractive, make public transit trips happier, and thus attract more car users to travel by public transit [8,45,46].…”

Section: Travel Happiness Models Based On Multiple Regressionmentioning

confidence: 99%

What Factors Contribute to Higher Travel Happiness? Evidence from Beijing, China

Fan

Chen

Zhang

2021

Journal of Advanced Transportation

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Travel happiness has drawn increasing attention in recent years. However, the empirical research in developing countries’ context is very limited, and few studies consider both cognitive and affective evaluations during traveling. This study uses web-based survey data collected in Beijing, China, and applies multiple regression analysis to examine impacts of sociodemographic attributes, travel characteristics, residential environment, mode consonance, self-evaluation, and health conditions, on travel happiness. Satisfaction with Travel Scale (STS) is used to measure travel happiness. Results show that for trips using active travel modes, traveling by walking has higher travel happiness than by nonmotor vehicles. For those trips traveling by motor vehicles, company shuttle bus trips have the highest travel happiness ratings, followed by automobile trips and public transport trips. Transport mode consonance is significantly positively correlated with travel happiness. Residential environment, self-reported optimism, and daily happiness have great positive impacts on travel happiness. Living in suburban areas is more satisfying for walking and car trips, but travel frequency, travel duration, and perceived travel time length have significant negative effects on travel happiness. Public transport use with friends is enjoyable, but unpleasant with work partners. More happiness when listening to music/radio or reading during traveling is demonstrated. Finally, policy implications and potential extended research topics are recommended.

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Incorporation of coping planning into the behavior change model that accounts for implementation intention

Cited by 13 publications

References 53 publications

Perceived Risk and Food Tourism: Pursuing Sustainable Food Tourism Experiences

Perceived Risk and Food Tourism: Pursuing Sustainable Food Tourism Experiences

Adaption and Evaluation of a Self-Efficacy Intervention for Parental Feeding Practices

What Factors Contribute to Higher Travel Happiness? Evidence from Beijing, China

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