A comparative analysis of factors influencing millennial travellers’ intentions to use ride-hailing
Tóm tắt
Từ khóa
Tài liệu tham khảo
Alemi F, Circella G, Handy S, Mokhtarian P (2017) What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services. TRB 96th Annual meeting Compendium of Papers, No: 17-05630
Amaro S, Andreu L, Huang S (2018) Millennial’s intentions to book on Airbnb. Curr Issues Tour 22(18):2284–2298
Amirkiaee SY, Evangelopoulos N (2018) Why do people rideshare? An experimental study. Transp Res Part F 55:9–24
Benbasat I, Barki H (2007) Quo vadis, TAM? J Assoc Inf Syst 8(4):211–218
Bernardi M (2018) Millennials, sharing economy and tourism: the case of Seoul. J Tour Futures 4(1):43–56
Blut M, Wang C, Schoefer K (2016) Factors influencing the acceptance of self-service technologies: A meta-analysis. J Serv Res 19(4):396–416
Bomey N (2016) Millennials spurn driver’s license, study finds. USA Today. https://www.usatoday.com. Accessed 10 Apr 2020
Brislin RW (1970) Back-translation for cross-cultural research. J Cross Cult Psychol 1(3):185–216
Brown TA (2015) Confirmatory factor analysis for applied research. Guilford Express, New York
Caselli F, Coleman WJ (2001) Cross-country technology diffusion: the case of computers. Am Econ Rev 91(2):328–335
Choi M, Law R, Heo CY (2018) An investigation of the perceived value of shopping tourism. J Transp Res 57(7):962–980
Curran PJ, West SG, Finch JF (1996) The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychol Methods 1(1):16–29
Dasgupta S, Agarwal D, Ioannidis A, Gopalakrishnan S (1999) Determinants of information technology adoption: an extension of existing models to firms in a developing country. J Glob Inf Manag 7(3):30–40
Dewan S, Kraemer KL (2000) Information technology and productivity: evidence from country-level data. Manag Sci 46(4):548–562
Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18(1):39–50
Geron T (2013) California becomes first state to regulate ridesharing services Lyft, Sidecar, UberX. Forbes. https://www.forbes.com. Accessed 10 Apr 2020
Gill D, Byslma B, Ouschan R (2007) Customer perceived value in a cellar door visit: the impact on behavioural intentions. Int J Wine Bus Res 19(4):257–275
Godelink R (2017) Millennials and the sharing economy: lessons from a buy nothing new, share everything month’s project. Environ Innov Soc Transit 23:40–52
Gupta M, Esmaeilzadeh P, Uz I, Tennant VM (2019) The effects of national cultural values on individuals’ intention to participate in peer-to-peer sharing economy. J Bus Res 97:20–29
Gurău C (2012) A life-stage analysis of consumer loyalty profile: comparing generation x and millennial consumers. J Consum Mark 29(2):103–113
Gustke C (2016) China’s $500 billion mobile shopping mania. CNBC. https://www.cnbc.com. Accessed 10 Apr 2020
Guttentag D, Smith S, Potwarka L, Havitz M (2017) Why tourists choose Airbnb: a motivation-based segmentation study. J Travel Res. https://doi.org/10.1177/0047287517696980
Gwinner KP, Gremler DD, Bitner MJ (1998) Relational benefits in services industries: the customer’s perspective. J Acad Mark Sci 26(2):101–114
Hackbarth G, Grover V, Mun YY (2003) Computer playfulness and anxiety: positive and negative mediators of the system experience effect on perceived ease of use. Inf Manag 40(3):221–232
Hair JF, Black WC, Babin BJ, Anderson RE (2010) Multivariate data analysis, 7th edn. Pearson, Upper Saddle River
Hamari J, Sjöklint M, Ukkonen A (2016) The sharing economy: why people participate in collaborative consumption. J Assoc Inf Sci Technol 67(9):2047–2059
Hartl B, Hofmann E, Kirchler E (2016) Do we need rules for “what’s mine is yours”? Governance in collaborative consumption communities. J Bus Res 69(8):2756–2763
Hu L, Bentler PM (1999) Cutoff criteria for fit indices in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model 6(1):1–55
Jiang JJ (2019) More Americans are using ride-hailing apps. Pew Research Center. https://www.pewresearch.org/fact-tank/2019/01/04/more-americans-are-using-ride-hailing-apps/
Jin N, Lee S, Lee H (2015) The effect of experience quality on perceived value, satisfaction, image and behavioral intention of water park patrons: new versus repeat visitors. Int J Tour Res 17(1):82–95
Jones C (2016) More business travellers are ditching rental cars and turning into Uber and Lyft. USA Today. https://www.usatoday.com. Accessed 10 Apr 2020
Kellogg DL, Youngdahl WE, Bowen DE (1997) On the relationship between customer participation and satisfaction: two frameworks. Int J Serv Ind Manag 8(3):206–219
Kim TG, Lee JH, Law R (2008) An empirical examination of the acceptance behaviour of hotel front office systems: an extended technology acceptance model. Tour Manag 29(3):500–513
Lanset M (2018) Here's how much millennials spend on Uber and Lyft in major US cities every month. Business Insider. https://www.businessinsider.com. Accessed 10 Apr 2020
Lavieri PS, Bhat CR (2019) Investigating objective and subjective factors influencing the adoption, frequency, and characteristics of rid-hailing trips. Transp Res Part C 105:100–125
Lee S, Lee WJ, Yoo KH (2020) Millennial ride-share passengers’ pro-sustainable behaviours: norm activation perspective. Asia Pac J Tour Res 25(1):15–26
Li F (2016) Chinese use of ride hailing apps rising. China Daily. http://www.chinadaily.com.cn/business/motoring/2016-06/06/content_25621768.htm. Accessed 10 Apr 2020
Lobel O (2016) The law of the platform. Minnesota Law Rev 101(1):87–166
Lu J, Yu C, Liu C, Wei J (2017) Comparison of mobile shopping continuance intention between China and USA from an espoused cultural perspective. Comput Hum Behav 75:130–146
MacCallum RC, Browne MW, Sugawara HM (1996) Power analysis and determination of sample size for covariance structure modelling. Psychol Methods 1(2):130–149
Malhotra NK, Kim SS, Patil A (2006) Common method variance in IS research: a comparison of alternative approaches and a reanalysis of past research. Manag Sci 52(12):1865–1883
Malik G, Rao AS (2019) Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy. Inf Technol Tour 21:461–482
Marshall A (2019) A third of Americans use ride-hail, Uber and Lyft need more. Wired. https://www.wired.com/story/uber-lyft-ride-hail-stats-pew-research/
Mayzlin D, Dover Y, Chevalier J (2014) Promotional reviews: an empirical investigation of online review manipulation. Am Econ Rev 104(8):2421–2455
Meuter ML, Bitner MJ, Ostrom AL, Brown SW (2005) Choosing among alternative service delivery modes: an investigation of customer trial of self-service technologies. J Mark 69(2):61–83
Min S, So KKF, Jeong M (2019) Consumer adoption of the Uber mobile application: insights from diffusion of innovation theory and technology acceptance model. J Travel Tour Mark 36(7):770–783
Möhlmann M (2015) Collaborative consumption: determinants of satisfaction and the likelihood using a sharing economy option again. J Consum Behav 14:193–207
Mousavi R, Hazarika B, Chen K, Rienzo T (2020) The role of dissonance reduction and co-creation strategies in shaping smart services satisfaction—the case of Uber. Behav Inf Technol. https://doi.org/10.1080/0144929X.2020.1795258
Mozur P (2016) Didi Chuxing and Uber, popular in China, are now legal, too. New York Times. https://www.nytimes.com. Accessed 10 Apr 2020
Muthén, LK, Muthén BO (2015) Mplus User’s Guide, 7th edn. Los Angeles
Nguyen-Phuoc DQ, Su DN, Tran PTK, Le DTT, Johnson LW (2020) Factors influencing customer’s loyalty towards ride-hailing taxi services—a case study of Vietnam. Transp Res Part C 134:96–112
OECD (2016) OECD tourism trends and policies 2016. OECD Publishing, Paris. https://doi.org/10.1787/tour-2016-en
Orcher LT (2014) Conducting research: social and behavioral science methods, 2nd edn. Pyrczak Publishing, Los Angeles
Parasuraman A, Colby CL (2015) An updated and streamlined technology readiness index: tri 2.0. J Serv Res 18(1):59–74
Parasuraman A, Zeithaml VA, Malhotra A (2005) E-S-QUAL: a multiple-item scale for assessing electronic service quality. J Serv Res 7(3):213–233
Phocuswright (2016) Mobile, millennials and emerging markets: the next wave in global travel. http://www.phocuswright.com/Free-Travel-Research/Mobile-Millennials-and-Emerging-Markets-The-Next-Wave-in-Global-Travel. Accessed 10 Apr 2020
Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP (2003) Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol 88(5):879–903
Rogers EM (2003) Diffusion of innovations. Free Press, New York
Sánchez J, Callarisa L, Rodríguez RM, Moliner MA (2006) Perceived value of the purchase of a tourism product. Tour Manag 27(3):394–409
Schiopu AF, Pădurean AM, Tală ML, Nica A (2016) The influence of new technologies on tourism consumption behavior of the millennials. Amfiteatru Econ J 18(10):829–846
Smith A (2016) Shared, collaborative and on demand: the new digital economy. https://www.pewresearch.org/internet/2016/05/19/on-demand-ride-hailing-apps/. Accessed 12 Dec 2020
Smith JB, Colgate M (2007) Customer value creation: a practical framework. J Mark Theor Pract 15(1):7–23
Sweeney JC, Soutar GN (2001) Consumer perceived value: the development of a multiple item scale. J Retail 77(1):203–220
Synder T (2020) Back to school statistics. Institute of Education Science. https://nces.ed.gov/fastfacts/display.asp?id=372. Accessed 13 Dec 2020
Tornatzky LG, Fleischer M (1990) The processes of technological innovation. Lexington Books, Lexington
Tussyadiah IP (2016) Factors of satisfaction and intention to use peer-to-peer accommodation. Int J Hosp Manag 55:70–80
Tussyadiah IP, Pesonen J (2018) Drivers and barriers of peer-to-peer accommodation stay—an exploratory study with American and Finnish travellers. Curr Issues Tour 21(6):703–720
University of Michigan Transportation Research Institute (2016) More Americans of all ages spurning driver’s licenses. http://www.umtri.umich.edu. Accessed 10 Apr 2020
UNWTO (2016) Global report on the power of youth travel. UNWTO, Madrid
UNWTO (2017) New platform tourism services (or the so-called sharing economy): understand, rethink and adapt. UNWTO, Madrid
Veiga C, Santos MC, Águas P, Santos JAC (2017) Are millennials transforming global tourism? Challenges for destinations and companies. Worldw Hosp Tour Themes 9(6):603–616
Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q 1:425–478
Wang X, He F, Yang H, Gao HO (2016) Pricing strategies for a taxi-hailing platform. Transp Res Part E 93:212–231
Williams P, Soutar GN (2009) Value, satisfaction and behavioral intentions in an adventure tourism context. Ann Tour Res 36(3):413–438
Yang K, Jolly LD (2009) The effects of consumer perceived value and subjective norm on mobile data service adoption between American and Korean consumers. J Retail Consum Serv 16(6):502–508
Zhu K, Kraemer KL (2005) Post-adoption variations in usage and value of e-business by organizations: cross-country evidence from the retail industry. Inf Syst Res 16(1):61–84