Examining the impact of risk perceptions on intentions to travel by air: A comparison of full -service carriers and low-cost carriers

Cho, Sang‐Hee; Ali, Faizan; Manhas, Parikshat Singh

doi:10.1016/j.jairtraman.2018.05.005

Cited by 26 publications

(19 citation statements)

References 53 publications

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“…The MGA approach can clarify whether there are differences in hypothetical relationships among different groups. Previous studies have used the MGA for indicating groups' differences in factors such as marketing [60][61][62], tourism [63][64][65], and technology acceptance [66][67][68]. Comparing the differences between groups can be beneficial from a theoretical and practical perspective and can avoid erroneous conclusions.…”

Section: Discussionmentioning

confidence: 99%

Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods

Wang

Sun

et al. 2019

Sustainability

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This paper aims to examine the determinants of green purchasing intentions among different resident groups in a developing-country context. We first expand the theory of planned behaviour (TPB) and build a theoretical model based on green purchasing intention, including attitude, perceived behavioural control, subjective norms, environmental concern, habit, and socio-demographic characteristics (i.e., age, gender, residential area, and educational level). Following this, we collect 552 questionnaires from residents in Tianjin Municipality, China. We use partial least squares structural equation modelling (PLS-SEM) to analyse the green purchasing intention of the population sample and then employ a multi-group analysis (MGA) to explore the group differences in residents' green purchasing intention. The results show that green purchasing intention is significantly and positively influenced by attitude, perceived behavioural control, subjective norms, and environmental concern but not by habit. The relationship chain of environmental concern→subjective norms→purchasing intention is the strongest. The results of the MGA show that for residential-area groups, the relationships between attitudes, perceived behavioural control, and habits and purchasing intention differ significantly between the downtown group and the outside-the-city group. For the educational-level groups, the relationship between environmental concern and subjective norms differs significantly between the high-education group and the low-education group. Finally, these findings contribute to the literature on the TPB model on green purchasing intention and provide some suggestions for the local government and green marketers.

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Section: Discussionmentioning

confidence: 99%

Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods

Wang

Sun

et al. 2019

Sustainability

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“…Wulandari et al (2018) added that perception has a greater influence on travel decision-making than reality. To date, even the concept of perceived risk discussed in the literature, scholars have had difficulties in defining it (Boksberger et al, 2007;Cho et al, 2018). In the economic field, the concept of risk was introduced in the 1920s where a decision-making study was under economic and financial areas (Hashim et al, 2018).…”

Section: Risk Perceptionmentioning

confidence: 99%

“…Physical risk stands for the possibility that a trip will lead to physical danger or injury (Cho et al, 2018). Artuğer (2015) discussed physical risk in the context of terrorism and natural disaster in travel and tourism, but there are only fewer studies concerning the threat of disease as physical risk to the intention to travel.…”

Section: Research Modelmentioning

confidence: 99%

“…Performance risk is closely related to the satisfaction of the service or product bought. It can be measured in a comprehensive way, such as travel value, environment, landscape, attraction, entertainment, infrastructure, accessibility, and relaxation (Chi & Qu, 2008;Yu & Goulden, 2006;Cho et al, 2018). When the pandemic is over, the DMOs might need to readjust the situation and rebuild the destinations.…”

Section: Research Modelmentioning

confidence: 99%

“…Financial risk is the risk that the service bought will not attain the best possible monetary gain for the consumer. In the travel and tourism context, financial risk involves the fear of losing the money invested in the tourism product or service (Cho et al, 2018). Many scholars have confirmed the impact of financial risks on tourist's behavioral intentions including Artuğer (2015), Wulandari et al (2018) and Khan et al (2019).…”

Section: Research Modelmentioning

confidence: 99%

See 2 more Smart Citations

Post COVID-19 Pandemic International Travel: Does Risk Perception and Stress-Level Affect Future Travel Intention?

Falahuddin

Tergu

Brollo

et al. 2021

JSP

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The COVID-19 pandemic has extremely affected several industries including international travel and tourism. Many scholars have tried to describe the cause-effects of this major phenomenon. This study majorly aims to explore the relationship between risk perception and travel intention where stress level prone to COVID-19 quarantine serves as a moderating factor. The researchers believed that the influence of the dimensions of risk perception including social risk, psychological risk, physical risk, performance risk, financial risk and time risk on travel intention will be significant when the variable of stress level intervenes. This paper used a quantitative approach involving 409 respondents around the world. The data were gathered via online questionnaires facilitated by Google form and Wenjuanxing. The respective questionnaires were available in five languages (Chinese, English, Italian, French and Indonesian). Both descriptive and inferential statistics were used to analyze the data. The outcome of the hierarchical multiple regression (HMR) test resulted in a positive connection between all independent variables and travel intention simultaneously but not partially. The uppermost influence was found in social risk. Meanwhile, financial risk and time risk indicate no significant relationship. Lastly, the researchers believe that understanding the relationships between the variables of this study would be beneficial for the DMOs to predict the future market and rearrange strategies after being affected by the pandemic.

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Time-of-day preferences for intercity air travel: Case - New Delhi, India

Manoj

Rao

Jain

2023

Case Studies on Transport Policy

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Examining the impact of risk perceptions on intentions to travel by air: A comparison of full -service carriers and low-cost carriers

Cited by 26 publications

References 53 publications

Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods

Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods

Post COVID-19 Pandemic International Travel: Does Risk Perception and Stress-Level Affect Future Travel Intention?

Time-of-day preferences for intercity air travel: Case - New Delhi, India

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