Are they willing to switch from non-driving to driving? An exploratory study among Chinese older people

Chen, Long; Yang, Chenglu; Jing, Peng; Zha, Qifen; Wang, Xingyue; Wang, Weichao

doi:10.1007/s11116-022-10274-z

Cited by 3 publications

(2 citation statements)

References 115 publications

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“…They include factors such as switching costs, social norms, and habits. Several studies (H. H. Chang et al, 2017;L. Chen et al, 2022;Isibor & Odia, 2021;J.…”

Section: Mooring Factormentioning

confidence: 99%

Exploring factors and contextual applications of the Push-Pull Mooring (PPM) framework in switching intention: A systematic literature review

Krishnan,

Raghuram

2023

Multidiscip. Rev.

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The paper aims to undertake a comprehensive systematic literature review to address research questions 1. What are the factors that come into play when Push Pull Mooring (PPM) framework is applied in switching intention over time? 2. How PPM on switching intention is applied in different contexts. The systematic review was conducted for all published literature in the English language from the SCOPUS database from 2012 to 2022. A pool of 551 articles was reduced to 46 articles, which is used for systematic review and the inclusion criteria was (i) Empirical research including keynote of Switching intention & PPM theory (ii) English Language, (iii) Genuine data aggregation using quantitative and qualitative method. After examining the collected data, the predominantly used variables were explored: Dissatisfaction in the push effect, switching Cost in the mooring effect, and alternative attractiveness in the pull effect. The theory of Planned behavior and technology Acceptance model is widely applied in the studies. This systematic review presents an overview of the PPM framework, including its future prospects and its relationship to switching intention. Within this field of study, there exist opportunities and areas that have yet to be explored. The outcomes of this systematic review will serve as a point of reference for future investigations concerning the connection between PPM and switching intention.

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“…They include factors such as switching costs, social norms, and habits. Several studies (H. H. Chang et al, 2017;L. Chen et al, 2022;Isibor & Odia, 2021;J.…”

Section: Mooring Factormentioning

confidence: 99%

Exploring factors and contextual applications of the Push-Pull Mooring (PPM) framework in switching intention: A systematic literature review

Krishnan,

Raghuram

2023

Multidiscip. Rev.

View full text Add to dashboard Cite

show abstract

“…The safety of older drivers urgently needs to be ensured. With the acceleration of the aging process, China has abolished the age restriction of 70 for applying for a driver's license, providing older people individuals with alternative transportation options and thereby enhancing their quality of life [ 6 ]. Due to their reliance on vehicles during their younger years, they are hesitant to relinquish driving [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Research on driving behavior characteristics of older drivers based on drivers’ behavior graphs analysis

Guo

Li³

et al. 2023

Heliyon

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The continuance behavioral intention to adopt electrified ride-sourcing: Empirical evidence from China

Lu,

2024

Technological Forecasting and Social Change

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Are they willing to switch from non-driving to driving? An exploratory study among Chinese older people

Cited by 3 publications

References 115 publications

Exploring factors and contextual applications of the Push-Pull Mooring (PPM) framework in switching intention: A systematic literature review

Exploring factors and contextual applications of the Push-Pull Mooring (PPM) framework in switching intention: A systematic literature review

Research on driving behavior characteristics of older drivers based on drivers’ behavior graphs analysis

The continuance behavioral intention to adopt electrified ride-sourcing: Empirical evidence from China

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