Research article

Uncovering the behavioral determinants behind private car purchase intention during the new normal of COVID-19: An empirical investigation in China

  • Received: 25 September 2022 Revised: 01 January 2023 Accepted: 02 January 2023 Published: 14 February 2023
  • Fund Project: This work was supported by the National Natural Science Foundation of China (grant number 71871107)
  • Based on the Protection Motivation Theory (PMT), the Psychological Reactance Theory (PRT), and the Theory of Planned Behavior (TPB), we revealed the psychological impact factors of individuals' private car purchase intentions during the new normal of COVID-19. Structural equation modeling (SEM) and Bayesian network (BN) were used to analyzed the car purchase decision-making mechanism. A questionnaire survey was conducted to collect empirical data from April 20th to May 26th of 2020 in China. We investigated 645 participants and analyzed the data. The SEM results showed that conditional value, pro-car-purchasing attitude, and perceived behavioral control, health value, and cost factors have significant direct effects on car purchase intention. According to BN's prediction of purchase intention, the probability of high purchase intention grew by 47.6%, 97.3% and 163.0%, respectively, with perceived behavioral control, pro-car-purchasing attitude, and conditional value shifting from "low" to "medium" and "high". This study provided a new perspective for researchers to explore the purchase intention of cars during the epidemic. Meanwhile, we could provide a reference for the government and enterprises to develop measures related to the automobile market."

    Citation: Yueqi Mao, Qiang Mei, Peng Jing, Xingyue Wang, Ying Xue, Ye Zha. Uncovering the behavioral determinants behind private car purchase intention during the new normal of COVID-19: An empirical investigation in China[J]. Mathematical Biosciences and Engineering, 2023, 20(4): 7316-7348. doi: 10.3934/mbe.2023318

    Related Papers:

  • Based on the Protection Motivation Theory (PMT), the Psychological Reactance Theory (PRT), and the Theory of Planned Behavior (TPB), we revealed the psychological impact factors of individuals' private car purchase intentions during the new normal of COVID-19. Structural equation modeling (SEM) and Bayesian network (BN) were used to analyzed the car purchase decision-making mechanism. A questionnaire survey was conducted to collect empirical data from April 20th to May 26th of 2020 in China. We investigated 645 participants and analyzed the data. The SEM results showed that conditional value, pro-car-purchasing attitude, and perceived behavioral control, health value, and cost factors have significant direct effects on car purchase intention. According to BN's prediction of purchase intention, the probability of high purchase intention grew by 47.6%, 97.3% and 163.0%, respectively, with perceived behavioral control, pro-car-purchasing attitude, and conditional value shifting from "low" to "medium" and "high". This study provided a new perspective for researchers to explore the purchase intention of cars during the epidemic. Meanwhile, we could provide a reference for the government and enterprises to develop measures related to the automobile market."



    加载中


    [1] SOHU, China Has Become the World's Largest Consumer of Cars, 2019. Available from: https://www.sohu.com/a/346676739_120343607
    [2] Z. L. Du, B. Q. Lin, C. X. Guan, Development path of electric vehicles in China under environmental and energy security constraints, Resour. Conserv. Recy., 143 (2019), 17–26. https://doi.org/10.1016/j.resconrec.2018.12.007 doi: 10.1016/j.resconrec.2018.12.007
    [3] N. Kaitwade, COVID-19 shatters global automotive industry; sales of metal powder take a nosedive amid wavering demand, Metal Powder Rep., 76 (2021), 137–139. https://doi.org/10.1016/j.mprp.2020.06.059 doi: 10.1016/j.mprp.2020.06.059
    [4] W. M. Lim, Editorial: History, lessons, and ways forward from the COVID-19 pandemic, IJQI, 5 (2021), 101–108. https://www.inderscience.com/info/dl.php?filename=2021/ijqi-7348.pdf
    [5] China Competition Information Production and Sales Analysis of Automobile Market in the First Quarter of 2020, 2020. Available from: https://baijiahao.baidu.com/s?id=1663967326733005906&wfr=spider&for=pc
    [6] State Council Information Office of China, Fighting COVID-19: China in Action, 2020. Available from: http://www.scio.gov.cn/zfbps/ndhf/42312/Document/1682143/1682143.htm
    [7] C. P. Kirk, L. S. Rifkin, I'll trade you diamonds for toilet paper: Consumer reacting, coping and adapting behaviors in the COVID-19 pandemic, J. Bus. Res., 117 (2020), 124–131. https://doi.org/10.1016/j.jbusres.2020.05.028 doi: 10.1016/j.jbusres.2020.05.028
    [8] China Association of Automotive Industry, The Industrial Added Value of Automobile Industry Recovered Year-on-Year Growth in April 2020, 2020. Available from: http://www.caam.org.cn/chn/4/cate_31/con_5230293.html
    [9] J. Sheth, Impact of Covid-19 on consumer behavior: Will the old habits return or die? J. Bus. Res., 117 (2020), 280–283. https://doi.org/10.1016/j.jbusres.2020.05.059 doi: 10.1016/j.jbusres.2020.05.059
    [10] Y. Yan, S. Zhong, J. F. Tian, J. Ning, An empirical study on consumer automobile purchase intentions influenced by the COVID-19 outbreak. J. Transp. Geogr., 104 (2022). http://doi.org/10.1016/j.jtrangeo.2022.103458 doi: 10.1016/j.jtrangeo.2022.103458
    [11] M. Kelley, R. A. Ferrand, K. Muraya, S. Chigudu, S. Molyneux, M. Pai, et al., An appeal for practical social justice in the COVID-19 global response in low-income and middle-income countrie, Lancet. Glob. Health., 8 (2020), e888–e889. https://doi.org/10.1016/S2214-109X(20)30249-7 doi: 10.1016/S2214-109X(20)30249-7
    [12] E. Anastasiadou, M. C. Anestis, I. Karantza, S. Vlachakis, The coronavirus' effects on consumer behavior and supermarket activities: insights from Greece and Sweden, Int. J. Sociol. Soc. Policy, 40 (2020), 893–907. https://doi.org/10.1108/IJSSP-07-2020-0275 doi: 10.1108/IJSSP-07-2020-0275
    [13] I. K. Lai, Y. Liu, X. Sun, H. Zhang, W. Xu, Factors influencing the behavioural intention towards full electric vehicles: An empirical study in Macau, Sustainability, 7 (2015), 12564–12585. https://doi.org/10.3390/su70912564 doi: 10.3390/su70912564
    [14] A. Manzoor, K. A. Shaikh, Brand equity and purchase intention: the Indian automobile industry, Pakistan Business Rev., 18 (2016), 635–654. https://core.ac.uk/download/pdf/268591397.pdf
    [15] Z. Wang, C. Zhao, J. Yin, B. Zhang, Purchasing intentions of Chinese citizens on new energy vehicles: How should one respond to current preferential policy? J. Clean. Prod., 161 (2017), 1000–1010. https://doi.org/10.1016/j.jclepro.2017.05.154 doi: 10.1016/j.jclepro.2017.05.154
    [16] D. Marina, N. K. Pandjaitan, N. Hasanah, G. H. Cesna, Analysis of lifestyle and consumer attitude towards intention to purchase a personal car during pandemic, APTISI Transact. Manag., 7 (2022), 15–34. https://doi.org/10.33050/atm.v7i1.1806 doi: 10.33050/atm.v7i1.1806
    [17] M. Liu, R. Zhang, B. Xie, The impact of behavioral change on the epidemic under the benefit comparison, Math. Biosci. Eng., 17 (2020), 3412–3425. https://doi.org/10.3934/mbe.2020193 doi: 10.3934/mbe.2020193
    [18] J. W. Brehm, A theory of psychological reactance, Department of Psychology Duke University Durham, North Carolina: Academic Press, (1966). https://psycnet.apa.org/record/1967-08061-000
    [19] R. B. Cialdini, L. James, Influence: Science and practice, Pearson education Boston, (2009), ISBN. 978-86-7710-870-0. https://www.knjizara.com/pdf/136381.pdf
    [20] S. Yezli, A. Khan, COVID-19 social distancing in the Kingdom of Saudi Arabia: Bold measures in the face of political, economic, social and religious challenges, Travel. Med. Infect. Dis., 37 (2020), 101692. https://doi.org/10.1016/j.tmaid.2020.101692 doi: 10.1016/j.tmaid.2020.101692
    [21] D. Q. Nguyen-Phuoc, G. Currie, C. D. Gruyter, W. Young, How do public transport users adjust their travel behaviour if public transport ceases? A qualitative study, Transport. Res. F-TRAF, 54 (2018), 1–14. https://doi.org/10.1016/j.trf.2018.01.009 doi: 10.1016/j.trf.2018.01.009
    [22] J. De Vos, The effect of COVID-19 and subsequent social distancing on travel behavior, Transport. Res. Interdiscipl. Perspect., 5 (2020), 100121. https://doi.org/10.1016/j.trip.2020.100121 doi: 10.1016/j.trip.2020.100121
    [23] F. Velicia-Martin, J-P. Cabrera-Sanchez, E. Gil-Cordero, P. R. Palos-Sanchez, Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model, PeerJ. Comput. Sci., 7 (2021), e316. https://doi.org/10.7717/peerj-cs.316 doi: 10.7717/peerj-cs.316
    [24] A. Peters, H. Gutscher, R. W. Scholz, Psychological determinants of fuel consumption of purchased new cars, Transport. Res. F-TRAF, 14 (2011), 229–239. https://doi.org/10.1016/j.trf.2011.01.003 doi: 10.1016/j.trf.2011.01.003
    [25] J. M. Yusof, G. K. B. Singh, R. A. Razak, Purchase Intention of Environment-Friendly Automobile, Proced. Soc. Behav. Sci., 85 (2013), 400–410. https://doi.org/10.1016/j.sbspro.2013.08.369 doi: 10.1016/j.sbspro.2013.08.369
    [26] M. Bockarjova, L. Steg, Can protection motivation theory predict pro-environmental behavior? explaining the adoption of electric vehicles in the Netherlands, Global Environ. Change, 28 (2014), 276–288. https://doi.org/10.1016/j.gloenvcha.2014.06.010 doi: 10.1016/j.gloenvcha.2014.06.010
    [27] R. Afroz, M. M. Masud, R. Akhtar, M. A. Islam, J. B. Duasa, Consumer purchase intention towards environmentally friendly vehicles: An empirical investigation in Kuala Lumpur, Malaysia, Environ. Sci. Pollut. Res., 22 (2015), 16153–16163. https://doi.org/10.1007/s11356-015-4841-8 doi: 10.1007/s11356-015-4841-8
    [28] M. Ng, M. Law, S. Zhang, Predicting purchase intention of electric vehicles in Hong Kong, Australasian Market. J., 26 (2018), 272–280. https://doi.org/10.1016/j.ausmj.2018.05.015 doi: 10.1016/j.ausmj.2018.05.015
    [29] M. Mohiuddin, A. Al Mamun, F. A. Syed, M. M. Mehedi, Z. Su, Environmental knowledge, awareness, and business school students' intentions to purchase green vehicles in emerging countries, Sustainability, 10 (2018), 1534. https://doi.org/10.3390/su10051534 doi: 10.3390/su10051534
    [30] X. He, W. Zhan, Y. Hu, Consumer purchase intention of electric vehicles in China: The roles of perception and personality, J. Clean. Prod., 204 (2018), 1060–1069. https://doi.org/10.1016/j.jclepro.2018.08.260 doi: 10.1016/j.jclepro.2018.08.260
    [31] B. Lin, W. Wu, Why people want to buy electric vehicle: An empirical study in first-tier cities of China, Energy Policy, 112 (2018), 233–241. https://doi.org/10.1016/j.enpol.2017.10.026 doi: 10.1016/j.enpol.2017.10.026
    [32] X. Huang, J. Ge, Electric vehicle development in Beijing: An analysis of consumer purchase intention, J. Clean. Prod., 216 (2019), 361–372. https://doi.org/10.1016/j.jclepro.2019.01.231 doi: 10.1016/j.jclepro.2019.01.231
    [33] X. Dong, B. Zhang, B. Wang, Z. Wang, Urban households' purchase intentions for pure electric vehicles under subsidy contexts in China: Do cost factors matter? Transport. Res. A-Pol., 135 (2020), 183–197. https://doi.org/10.1016/j.tra.2020.03.012 doi: 10.1016/j.tra.2020.03.012
    [34] K. Sobiech-Grabka, A. Stankowska, K. Jerzak, Determinants of electric cars purchase intention in Poland: Personal attitudes v. Economic arguments, Energies, 15 (2022), 3078. https://doi.org/10.3390/en15093078 doi: 10.3390/en15093078
    [35] A. Vafaei-Zadeh, T-K. Wong, H. Hanifah, A. P. Teoh, K. Nawaser, Modelling electric vehicle purchase intention among generation Y consumers in Malaysia, Res. Transp. Bus. Manag., 43 (2022), 100784. https://doi.org/10.1016/j.rtbm.2022.100784 doi: 10.1016/j.rtbm.2022.100784
    [36] V. V. Krishnan, B. I. Koshy, Evaluating the factors influencing purchase intention of electric vehicles in households owning conventional vehicles, Case. Stud. Transp. Policy, 9 (2021), 1122–1129. https://doi.org/10.1016/j.cstp.2021.05.013 doi: 10.1016/j.cstp.2021.05.013
    [37] Y. Zang, J. Qian, Q. Jiang, Research on the influence mechanism of consumers' purchase intention of electric vehicles based on perceived endorsement: A case study of chinese electric vehicle start-ups, World. Electr. Veh. J., 13 (2022), 19. https://doi.org/10.3390/wevj13010019 doi: 10.3390/wevj13010019
    [38] B. Lin, L. Shi, Do environmental quality and policy changes affect the evolution of consumers' intentions to buy new energy vehicles, Appl. Energy, 310 (2022), 118582. https://doi.org/10.1016/j.apenergy.2022.118582 doi: 10.1016/j.apenergy.2022.118582
    [39] M. I. Hamzah, N. S. Tanwir, Do pro-environmental factors lead to purchase intention of hybrid vehicles? The moderating effects of environmental knowledge, J. Clean. Prod., 279 (2021), 123643. https://doi.org/10.1016/j.apenergy.2022.118582 doi: 10.1016/j.apenergy.2022.118582
    [40] Y. Lin, J. Wu, Y. Xiong, Sensitivity of the nonsubsidized consumption promotion mechanisms of new energy vehicles to potential consumers' purchase intention, Sustainability, 13 (2021), 4293. https://doi.org/10.3390/su13084293 doi: 10.3390/su13084293
    [41] N. Shanmugavel, M. Micheal, Exploring the marketing related stimuli and personal innovativeness on the purchase intention of electric vehicles through Technology Acceptance Model, Cleaner Logist. Supply Chain, 3 (2022), 100029. https://doi.org/10.1016/j.clscn.2022.100029 doi: 10.1016/j.clscn.2022.100029
    [42] Z. He, Y. Zhou, J. Wang, W. Shen, W. Li, W. Lu, Influence of emotion on purchase intention of electric vehicles: a comparative study of consumers with different income levels, Curr. Psychol., 1–16. https://doi.org/10.1007/s12144-022-03253-1 doi: 10.1007/s12144-022-03253-1
    [43] W. Ackaah, A. T. Kanton, K. K. Osei, Factors influencing consumers' intentions to purchase electric vehicles in Ghana, Transp. Lett., 14 (2022), 1031–1042. https://doi.org/10.1080/19427867.2021.1990828 doi: 10.1080/19427867.2021.1990828
    [44] T. F. Golob, Structural equation modeling for travel behavior research, Transport. Res B-Meth., 37 (2003), 1–25. https://doi.org/10.1016/S0191-2615(01)00046-7 doi: 10.1016/S0191-2615(01)00046-7
    [45] J. B. Grace, J. E. Keeley, A structural equation model analysis of postfire plant diversity in California Shrublands, Ecol Appl., 16 (2006), 503–514. https://doi.org/10.1890/1051-0761(2006)016[0503:ASEMAO]2.0.CO;2 doi: 10.1890/1051-0761(2006)016[0503:ASEMAO]2.0.CO;2
    [46] X. Yang, Understanding consumers' purchase intentions in social commerce through social capital: Evidence from SEM and fsQCA, J. Theor. Appl. Electron. Commer. Res., 16 (2021), 1557–1570.
    [47] S. Gupta, H. W. Kim, Linking structural equation modeling to Bayesian networks: Decision support for customer retention in virtual communities, Eur. J. Oper. Res., 190 (2008), 818–833. https://doi.org/10.3390/jtaer16050087 doi: 10.3390/jtaer16050087
    [48] J. Pearl, Graphs, Causality, and Structural Equation Models. Sociol. Method. Res., 27 (1998), 226–284. https://doi.org/10.1177/0049124198027002004 doi: 10.1177/0049124198027002004
    [49] C. Yoo, S. Oh, Combining structure equation model with Bayesian networks for predicting with high accuracy of recommending surgery for better survival in Benign prostatic hyperplasia patients, Proceedings - 20th MODSIM 2013, 2029–2033. http://www.scopus.com/inward/record.url?scp=85080873833&partnerID=8YFLogxK
    [50] B. G. Marcot, T. D. Penman, Advances in Bayesian network modelling: Integration of modelling technologies, Environ. Modell. Softw., 111 (2019), 386–393. https://doi.org/10.1016/j.envsoft.2018.09.016 doi: 10.1016/j.envsoft.2018.09.016
    [51] R. D. Anderson, G. Vastag, Causal modeling alternatives in operations research: Overview and application, Eur. J. Oper. Res., 156 (2004), 92–109. https://doi.org/10.1016/S0377-2217(02)00904-9 doi: 10.1016/S0377-2217(02)00904-9
    [52] W. Wipulanusat, K. Panuwatwanich, R. A. Stewart, S. L. Arnold, J. Wang, Bayesian network revealing pathways to workplace innovation and career satisfaction in the public service, J. Manag. Anal., 7 (2020), 253–280. https://doi.org/10.1080/23270012.2020.1749900 doi: 10.1080/23270012.2020.1749900
    [53] R. S. Kenett, G. Manzi, C. Rapaport, S. Salini, Integrated analysis of behavioural and health COVID-19 data combining Bayesian networks and structural equation models, Int. J. Env. Res. Pub. He., 19 (2022), 4859. https://doi.org/10.3390/ijerph19084859 doi: 10.3390/ijerph19084859
    [54] J. Chu, Y. Yang, Linking structural equation modelling with Bayesian network and coastal phytoplankton dynamics in Bohai Bay, E3S. Web. Conf., 38 (2018), 01028. https://doi.org/10.1051/e3sconf/20183801028 doi: 10.1051/e3sconf/20183801028
    [55] V. Carfora, F. Di Massimo, R. Rastelli, P. Catellani, M. Piastra, Dialogue management in conversational agents through psychology of persuasion and machine learning, Multimed. Tools. Appl., 79 (2020), 35949–35971. https://doi.org/10.1007/s11042-020-09178-w doi: 10.1007/s11042-020-09178-w
    [56] W. M. Lim, Antecedents and consequences of e-shopping: An integrated model, Internet. Res., 25 (2015), 184–217. https://doi.org/10.1108/IntR-11-2013-0247 doi: 10.1108/IntR-11-2013-0247
    [57] W. M. Lim, S. Gupta, A. Aggarwal, J. Paul, P. Sadhna, How do digital natives perceive and react toward online advertising? Implications for SMEs, J. Strat. Marketing, (2021), 1–35. https://doi.org/10.1080/0965254X.2021.1941204 doi: 10.1080/0965254X.2021.1941204
    [58] W. M. Lim, Inside the sustainable consumption theoretical toolbox: Critical concepts for sustainability, consumption, and marketing, J. Bus. Res., 78 (2017), 69–80. https://doi.org/10.1016/j.jbusres.2017.05.001 doi: 10.1016/j.jbusres.2017.05.001
    [59] W. M. Lim, A. L. Lim, C. S. C. Phang, Toward a conceptual framework for social media adoption by non-urban communities for non-profit activities: Insights from an integration of grand theories of technology acceptance, Australasian J. Inform. Syst., 23 (2019). https://doi.org/10.3127/ajis.v23i0.1835 doi: 10.3127/ajis.v23i0.1835
    [60] A. A. Katou, Building a multilevel integrated framework of ambidexterity: The role of dynamically changing environment and human capital management in the performance of Greek firms, Global Business Organiz. Excell, 40 (2021), 17–27. https://doi.org/10.1002/joe.22131 doi: 10.1002/joe.22131
    [61] M. F. W. Rahman, A. Kistyanto, J. Surjanti, Does cyberloafing and person‐organization fit affect employee performance? The mediating role of innovative work behavior, Glob. Bus. Org. Exc., 41 (2022), 44–64. https://doi.org/10.1002/joe.22159 doi: 10.1002/joe.22159
    [62] L. Whitmarsh, S. O'Neill, Green identity, green living? The role of pro-environmental self-identity in determining consistency across diverse pro-environmental behaviours, J. Environ. Psychol., 30 (2010), 305–314. https://doi.org/10.1016/j.jenvp.2010.01.003 doi: 10.1016/j.jenvp.2010.01.003
    [63] R. C. O'Connor, C. J. Armitage, Theory of planned behaviour and parasuicide: An exploratory study, Curr. Psychol., 22 (2003), 196–205. https://doi.org/10.1007/s12144-003-1016-4 doi: 10.1007/s12144-003-1016-4
    [64] C. Liao, J. L. Chen, D. C. Yen, Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model, Comput. Human Behav., 23 (2007), 2804–2822. https://doi.org/10.1016/j.chb.2006.05.006 doi: 10.1016/j.chb.2006.05.006
    [65] R. W. Rogers, A protection motivation theory of fear appeals and attitude change1, J. Psy., 91 (1975), 93–114. https://doi.org/10.1080/00223980.1975.9915803 doi: 10.1080/00223980.1975.9915803
    [66] S. Zhang, P. Jing, D. Yuan, C. Yang, On parents' choice of the school travel mode during the COVID-19 pandemic, Math. Biosci. Eng., 19 (2022), 9412–9436. https://doi.org/10.3934/mbe.2022438 doi: 10.3934/mbe.2022438
    [67] W. Lu, E. L. J. McKyer, C. Lee, P. Goodson, M. G. Ory, S. Wang, Perceived barriers to children's active commuting to school: A systematic review of empirical, methodological and theoretical evidence, Int. J. Behav. Nutr. Phys. Act., 11 (2014), 140. https://doi.org/10.1186/s12966-014-0140-x doi: 10.1186/s12966-014-0140-x
    [68] N. Ha, T. Nguyen, The effect of trust on consumers' online purchase intention: An integration of TAM and TPB. Manage, Sci. Lett., 9 (2019), 1451–1460. https://doi.org/10.5267/j.msl.2019.5.006 doi: 10.5267/j.msl.2019.5.006
    [69] I. Ajzen, Attitudes, traits, and actions: Dispositional prediction of behavior in personality and social psychology, Adv. Exp. Soc. Psychol., (1987) 1–63. https://doi.org/10.1016/S0065-2601(08)60411-6 doi: 10.1016/S0065-2601(08)60411-6
    [70] J. Yang, Y. Zhang, C. J. M. Lanting, Exploring the Impact of QR codes in authentication protection: A study based on PMT and TPB, Wireless. Pers. Commun., 96 (2017), 5315–5334. https://doi.org/10.1007/s11277-016-3743-5 doi: 10.1007/s11277-016-3743-5
    [71] M. Bults, Outbreaks of emerging infectious diseases: Risk perception and behaviour of the general public, (2014), ISBN 978-90-70116-42-2. URL: hdl.handle.net/1765/50330
    [72] M. Workman, W. H. Bommer, D. Straub, Security lapses and the omission of information security measures: A threat control model and empirical test, Comput. Human Behav., 24 (2008), 2799–2816. https://doi.org/10.1016/j.chb.2008.04.005 doi: 10.1016/j.chb.2008.04.005
    [73] S. Milne, P. Sheeran, S. Orbell, Prediction and intervention in health-related behavior: A meta-analytic review of protection motivation theory, J. Appl. Social. Pyschol., 30 (2000), 106–143. https://doi.org/10.1111/j.1559-1816.2000.tb02308.x doi: 10.1111/j.1559-1816.2000.tb02308.x
    [74] X. Zhang, S. Liu, L. Wang, Y. Zhang, J. Wang, Mobile health service adoption in China: Integration of theory of planned behavior, protection motivation theory and personal health differences, Online Inform. Rev., 44 (2019), 1–23. https://doi.org/10.1108/OIR-11-2016-0339 doi: 10.1108/OIR-11-2016-0339
    [75] D. Compeau, C. A. Higgins, S. Huff, Social cognitive theory and individual reactions to computing technology: A longitudinal study, MIS Quart., 23 (1999), 145. https://doi.org/10.2307/249749 doi: 10.2307/249749
    [76] P. Ifinedo, Understanding information systems security policy compliance: An integration of the theory of planned behavior and the protection motivation theory, Comput. Secur., 31 (2012), 83–95. https://doi.org/10.1016/j.cose.2011.10.007 doi: 10.1016/j.cose.2011.10.007
    [77] J. P. Dillard, L. Shen, On the unature of reactance and its role in persuasive health commnication, Commun. Monogr., 72 (2005), 144–168. https://doi.org/10.1080/03637750500111815 doi: 10.1080/03637750500111815
    [78] W. Feng, R. Tu, T. Lu, Z. Zhou, Understanding forced adoption of self-service technology: The impacts of users' psychological reactance, Behav. Inform. Technol., 38 (2019), 820–832. https://doi.org/10.1080/0144929X.2018.1557745 doi: 10.1080/0144929X.2018.1557745
    [79] S. Sittenthaler, C. Steindl, E. Jonas, Legitimate vs. illegitimate restrictions—a motivational and physiological approach investigating reactance processes, Front. Psychol., 6 (2015). https://doi.org/10.3389/fpsyg.2015.00632 doi: 10.3389/fpsyg.2015.00632
    [80] T. Reynolds-Tylus, An examination of message elaboration as a moderator of psychological reactance, Comm. Res. RPT, 36 (2019), 158–169. https://doi.org/10.1080/08824096.2019.1580567 doi: 10.1080/08824096.2019.1580567
    [81] N. T. Tatum, M. K. Olson, T. K. Frey, Noncompliance and dissent with cell phone policies: A psychological reactance theoretical perspective, Commun. Educ., 67 (2018), 226–244. https://doi.org/10.1080/03634523.2017.1417615 doi: 10.1080/03634523.2017.1417615
    [82] X. Font, A. Hindley, Understanding tourists' reactance to the threat of a loss of freedom to travel due to climate change: A new alternative approach to encouraging nuanced behavioural change, J. Sustain. Tour., 25 (2017), 26–42. https://doi.org/10.1080/09669582.2016.1165235 doi: 10.1080/09669582.2016.1165235
    [83] T. Otterbring, Touch forbidden, consumption allowed: Counter-intuitive effects of touch restrictions on customers' purchase behavior, Food. Qual. Prefe. R., 50 (2016), 1–6. https://doi.org/10.1016/j.foodqual.2015.12.011 doi: 10.1016/j.foodqual.2015.12.011
    [84] L. Pavey, P. Sparks, Reactance, autonomy and paths to persuasion: Examining perceptions of threats to freedom and informational value, Motiv. Emot., 33 (2009), 277–290. https://doi.org/10.1007/s11031-009-9137-1 doi: 10.1007/s11031-009-9137-1
    [85] Fighting COVID-19: China in Action | english.scio.gov.cn. Available from: http://english.scio.gov.cn/whitepapers/2020-06/07/content_76135269_5.htm
    [86] H. Baghestani, An analysis of vehicle-buying attitudes of US consumers, Res. Transp. Econ., 75 (2019), 62–68. https://doi.org/10.1016/j.retrec.2019.03.002 doi: 10.1016/j.retrec.2019.03.002
    [87] M. S. Smith, K. A. Wallston, C. A. Smith, The development and validation of the Perceived Health Competence Scale, Health. Educ. Res., 10 (1995), 51–64. https://doi.org/10.1093/her/10.1.51 doi: 10.1093/her/10.1.51
    [88] S. Hardman, A. Chandan, G. Tal, T. Turrentine, The effectiveness of financial purchase incentives for battery electric vehicles – A review of the evidence, Renew. Sust. Energ. Rev., 80 (2017), 1100–1111. https://doi.org/10.1016/j.rser.2017.05.255 doi: 10.1016/j.rser.2017.05.255
    [89] J. A. Awuni, J. Du, Sustainable consumption in Chinese cities: Green purchasing intentions of young adults based on the theory of consumption values, Sustain. Dev., 24 (2016), 124–135. https://doi.org/10.1002/sd.1613 doi: 10.1002/sd.1613
    [90] D. Sangroya, J. K. Nayak, Factors influencing buying behaviour of green energy consumer, J. Clean. Prod., 151 (2017), 393–405. https://doi.org/10.1016/j.jclepro.2017.03.010 doi: 10.1016/j.jclepro.2017.03.010
    [91] M. C. Gilly, J. N. Sheth, B. I. Newman, B. L. Gross, Consumption Values and Market Choices: Theory and Applications, J. Marking. Res., 29 (1992), 487. https://doi.org/10.1177/002224379202900414 doi: 10.1177/002224379202900414
    [92] P. Lin, Y. Huang, J. Wang, Applying the theory of consumption values to choice behavior toward green products, 2010 ICMIT, Singapore, (2010), 348–353. https://doi.org/10.1109/ICMIT.2010.5492714
    [93] T. C. Wen, N. A. M. Noor, What affects Malaysian consumers' intention to purchase hybrid car? Asian Soc. Sci., 11 (2015), p52. https://doi.org/10.5539/ass.v11n26p52 doi: 10.5539/ass.v11n26p52
    [94] B. Candan, S. Yıldırım, Investigating the relationship between consumption values and personal values of green product buyers, Available from: https://www.researchgate.net/publication/279924867_Investigating_the_Relationship_between_Consumption_Values_and_Personal_Values_of_Green_Product_Buyers
    [95] R. C. Plotnikoff, N. Higginbotham, Predicting low-fat diet intentions and behaviors for the prevention of coronary heart disease: An application of protection motivation theory among an australian population, Psychol. Health, 10 (1995), 397–408. https://doi.org/10.1080/08870449508401959 doi: 10.1080/08870449508401959
    [96] G. S. Mesch, K. P. Schwirian, Vaccination hesitancy: Fear, trust, and exposure expectancy of an Ebola outbreak, Heliyon, 5 (2019), e02016. https://doi.org/10.1016/j.heliyon.2019.e02016 doi: 10.1016/j.heliyon.2019.e02016
    [97] National Bureau of Statistics of China, Quarterly Statistical Report of China Sales, 2020. Available from: http://www.stats.gov.cn/
    [98] M. N. Borhan, A. N. H. Ibrahim, M. A. A. Miskeen, R. A. Rahmat, A. M. Alhodairi, Predicting car drivers' intention to use low cost airlines for intercity travel in Libya, J. Air. Transp. Manag., 65 (2017), 88–98. https://doi.org/10.1016/j.jairtraman.2017.09.004 doi: 10.1016/j.jairtraman.2017.09.004
    [99] C. Fornell, D. F. Larcker, Structural equation models with unobservable variables and measurement error: Algebra and statistics, J. Mark. Res., 18 (1981), 382. https://doi.org/10.1177/002224378101800104 doi: 10.1177/002224378101800104
    [100] C. Fornell, D. F. Larcker, Evaluating Structural Equation Models with Unobservable Variables and Measurement Error, J. Marking. Res., 18 (1981), 39. https://doi.org/10.1177/002224378101800104 doi: 10.1177/002224378101800104
    [101] X. Li, Y. Zhang, F. Guo, X. Gao, Y. Wang, Predicting the effect of land use and climate change on stream macroinvertebrates based on the linkage between structural equation modeling and bayesian network, Ecol. Indic., Ecolog. Indic., 85 (2018), 820–831. https://doi.org/10.1016/j.ecolind.2017.11.044 doi: 10.1016/j.ecolind.2017.11.044
    [102] S. R. Tembo, S. Vaton, J-L. Courant, S. Gosselin, A tutorial on the EM algorithm for Bayesian networks: Application to self-diagnosis of GPON-FTTH networks, 2016 IWCMC, Paphos, Cyprus, IEEE (2016), 369–376. https://doi.org/10.1109/IWCMC.2016.7577086
    [103] I. Mohammadfam, F. Ghasemi, O. Kalatpour, A. Moghimbeigi, Constructing a Bayesian network model for improving safety behavior of employees at workplaces, Appl. Ergon., 58 (2017), 35–47. https://doi.org/10.1016/j.apergo.2016.05.006 doi: 10.1016/j.apergo.2016.05.006
    [104] J. Wu, H. Liao, J. W. Wang, T. Chen, The role of environmental concern in the public acceptance of autonomous electric vehicles: A survey from China, Transport. Res. F-TRAF, 60 (2019), 37–46. https://doi.org/10.1016/j.trf.2018.09.029 doi: 10.1016/j.trf.2018.09.029
    [105] S. Zailani, M. Iranmanesh, S. S. Hyun, M. Ali, Applying the theory of consumption values to explain drivers' willingness to pay for biofuels, Sustainability, 11 (2019), 668. https://doi.org/10.1109/ICMIT.2010.5492714 doi: 10.1109/ICMIT.2010.5492714
    [106] H. Du, D. Liu, B. K. Sovacool, Y. Wang, S. Ma, R. Y. M. Li, Who buys New Energy Vehicles in China? Assessing social-psychological predictors of purchasing awareness, intention, and policy, Transport. Res. F-TRAF, 58 (2018), 56–69. https://doi.org/10.1016/j.trf.2018.05.008 doi: 10.1016/j.trf.2018.05.008
    [107] W. M. Lim, M. A. Weissmann, Toward a theory of behavioral control, J. Str. Marking., (2021), 1–27. https://doi.org/10.1080/0965254X.2021.1890190108. doi: 10.1080/0965254X.2021.1890190108
    [108] W. M. Lim, Toward a theory of social influence in the new normal, Act. Adapt. Aging., 46 (2022), 1–8. https://doi.org/10.1080/01924788.2022.2031165 doi: 10.1080/01924788.2022.2031165
    [109] X. Zhang, S. Liu, L. Wang, Y. Zhang, J. Wang, Mobile health service adoption in China: Integration of theory of planned behavior, protection motivation theory and personal health differences, Online Inform. Rev., 44 (2019), 1–23. https://doi.org/10.1108/OIR-11-2016-0339 doi: 10.1108/OIR-11-2016-0339
  • mbe-20-04-318 supple.docx
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1747) PDF downloads(115) Cited by(0)

Article outline

Figures and Tables

Figures(7)  /  Tables(9)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog