The influence of consumer personality traits on mobile shopping intention

  1. Zaira Camoiras Rodríguez 1
  2. Concepción Varela Neira 1
  1. 1 Department of Business Organization and Marketing, University of Santiago de Compostela, Spain
Spanish journal of marketing-ESIC

ISSN: 2444-9695

Ano de publicación: 2020

Volume: 24

Número: 3

Páxinas: 331-353

Tipo: Artigo

DOI: 10.1108/SJME-02-2020-0029 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: Spanish journal of marketing-ESIC


Citas recibidas

  • Citas en Scopus: 9 (18-09-2023)
  • Citas en Dimensions: 11 (05-03-2023)

SCImago Journal Rank

  • Ano 2020
  • Impacto SJR da revista: 0.796
  • Cuartil maior: Q2
  • Área: Marketing Cuartil: Q2 Posición na área: 59/222

Índice Dialnet de Revistas

  • Ano 2020
  • Factor de impacto da revista: 2,690
  • Ámbito: ECONOMÍA Cuartil: C1 Posición no ámbito: 3/170


  • Ciencias Sociais: B

Scopus CiteScore

  • Ano 2020
  • CiteScore da revista: 5.7
  • Área: Marketing Percentil: 80


(Datos actualizados na data de 05-03-2023)
  • Total de citas: 11
  • Citas recentes: 11


Purpose – This study aims to increase the understanding of the drivers of mobile shopping, by analyzing when and how two personality traits – value consciousness and shopping enjoyment – impact mobile shopping intention through usefulness and ease-of-use perceptions. Design/methodology/approach – To test the conditioned indirect effects, path analysis is used. Findings – The results indicate that both consumers’ value consciousness and shopping enjoyment have a positive indirect effect on mobile shopping intention. However, shopping enjoyment is related only through usefulness, whereas value consciousness is related via both usefulness and ease of use. The results also suggest the need to consider boundary conditions when examining the impact of personality traits. Practical implications – Mobile retailers need to conduct market segmentation based on users’ personalities when trying to increase their customer base. Originality/value – Despite the relevance of personality traits on individual behavior, studies on the effects that different aspects of personality have on the participation of individuals in mobile commerce are very scarce and show inconsistent results regarding their impact. Thus, this study tries to contribute to the mobile commerce research by analyzing the interplay between two customer characteristics and two mediating variables: ease-of-use and usefulness perceptions.

Referencias bibliográficas

  • Ailawadi, K.L., Neslin, S.A. and Gedenk, K. (2001), “Pursuing the value-conscious consumer: store brands versus national brand promotions”, Journal of Marketing, Vol. 65 No. 1, pp. 71-89.
  • Aldás-Manzano, J., Ruiz-Mafé, C. and Sanz-Blas, S. (2009), “Exploring individual personality factors as drivers of M-shopping acceptance”, Industrial Management and Data Systems, Vol. 109 No. 6, pp. 739-757.
  • Allport, G.W. (1937), Personality: A Psychological Interpretation, Holt, Rinehart and Winston, New York, NY.
  • Allport, G.W. (1961), Pattern and Growth in Personality, Holt, Rinehart andWinston, New York, NY.
  • Ashton, M.C., Jackson, D.N., Paunonen, S.V., Helmes, E. and Rothstein, M.G. (1995), “The criterion validity of broad factor scales versus specific facet scales”, Journal of Research in Personality, Vol. 29 No. 4, pp. 432-442.
  • Babin, B.J., Darden, W.R. and Griffin, M. (1994), “Work and/or fun: measuring hedonic and utilitarian shopping value”, Journal of Consumer Research, Vol. 20 No. 4, pp. 644-656.
  • Balta, S., Jonason, P., Denes, A., Emirtekin, E., Tosuntas�, S�B., Kircaburun, K. and Griffiths, M.D. (2019), “Dark personality traits and problematic smartphone use: the mediating role of fearful attachment”, Personality and Individual Differences, Vol. 149, pp. 214-219.
  • Bauer, D.J., Preacher, K.J. and Gil, K.M. (2006), “Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: new procedures and recommendations”, Psychological Methods, Vol. 11 No. 2, pp. 142-163.
  • Beatty, S.E. and Ferrell, M.E. (1998), “Impulse buying: modeling its precursors”, Journal of Retailing, Vol. 74 No. 2, pp. 169-191.
  • Beatty, S.E. and Smith, S.M. (1987), “External search effort: an investigation across several product categories”, Journal of Consumer Research, Vol. 14 No. 1, pp. 83-95.
  • Bellenger, D.N. and Korgaonkar, P.K. (1980), “Profiling the recreational shopper”, Journal of Retailing, Vol. 56, pp. 71-91.
  • Bosnjak, M., Bratko, D., Galesic, M. and Tuten, T. (2007), “Consumer personality and individual differences: revitalizing a temporarily abandoned field”, Journal of Business Research, Vol. 60 No. 6, pp. 587-589.
  • Brosdahl, D.J. and Carpenter, J.M. (2011), “Shopping orientations of US males: a generational cohort comparison”, Journal of Retailing and Consumer Services, Vol. 18 No. 6, pp. 548-554.
  • Bullock, H.E., Harlow, L.L. and Mulaik, S.A. (1994), “Causation issues in structural equation modeling research”, Structural Equation Modeling: AMultidisciplinary Journal, Vol. 1 No. 3, pp. 253-267.
  • Burroughs, J.E. and Rindfleisch, A. (2002), “Materialism and well-being: a conflicting values perspective”, Journal of Consumer Research, Vol. 29 No. 3, pp. 348-370.
  • Business Insider Intelligence (2019), “Rise of m-commerce: mobile ecommerce shopping stats and trends in 2020”, available at: (accessed 30May 2020).
  • Calvo-Porral, C. and Nieto-Mengotti, M. (2019), “The moderating influence of involvement with ICTs in mobile services”, Spanish Journal of Marketing ESIC, Vol. 23 No. 1, pp. 25-43.
  • Calvo-Porral, C. andOtero-Prada, L. (2020), “Aprofile ofmobile service users in amaturemarket: from ‘uninvolved pragmatics’ to ‘potential switchers’”,Spanish Journal ofMarketing -ESIC, accepted for publication.
  • Chang, A., Hsieh, S.H. and Lin, F. (2013), “Personality traits that lead members of online brand communities to participate in information sending and receiving”, International Journal of Electronic Commerce, Vol. 17 No. 3, pp. 37-62.
  • Chen, Y.M., Hsu, T.H. and Lu, Y.J. (2018), “Impact of flow on mobile shopping intention”, Journal of Retailing and Consumer Services, Vol. 41, pp. 281-287.
  • Chi, T. (2018), “Understanding Chinese consumer adoption of apparel mobile commerce: an extended TAM approach”, Journal of Retailing and Consumer Services, Vol. 44, pp. 274-284.
  • Childers, T.L., Carr, C.L., Peck, J. and Carson, S. (2001), “Hedonic and utilitarian motivations for online retail shopping behavior”, Journal of Retailing, Vol. 77 No. 4, pp. 511-535.
  • Chong, A.Y.L., Chan, F.T. and Ooi, K.B. (2012), “Predicting consumer decisions to adopt mobile commerce: cross country empirical examination between China andMalaysia”, Decision Support Systems, Vol. 53 No. 1, pp. 34-43.
  • Costa, P.T. and McCrae, R.R. (1992), Revised NEO Personality Inventory (NEO–PI–R) and NEO FiveFactor Inventory (NEO-FFI) Professional Manual, Psychological Assessment Resources, Odessa, FL.
  • Davis, F.D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technology”,MIS Quarterly, Vol. 13 No. 3, pp. 319-340.
  • Dawson, J.F. (2014), “Moderation in management research: what, why, when, and how”, Journal of Business and Psychology, Vol. 29 No. 1, pp. 1-19.
  • Delgado-Ballester, E., Hernandez-Espallardo, M. and Rodriguez-Orejuela, A. (2014), “Store image influences in consumers’ perceptions of store brands: the moderating role of value consciousness”, European Journal of Marketing, Vol. 48 Nos 9/10, pp. 1850-1869.
  • Demoulin, N. and Willems, K. (2019), “Servicescape irritants and customer satisfaction: the moderating role of shopping motives and involvement”, Journal of Business Research, Vol. 104, pp. 295-306.
  • Devaraj, S., Easley, R.F. and Crant, J.M. (2008), “How does personality matter? Relating the five-factor model to technology acceptance and use”, Information Systems Research, Vol. 19 No. 1, pp. 93-105.
  • Dutta, S. and Biswas, A. (2005), “Effects of low price guarantees on consumer post-purchase search intention: the moderating roles of value consciousness and penalty level”, Journal of Retailing, Vol. 81 No. 4, pp. 283-291.
  • Edwards, J.R. and Lambert, L.S. (2007), “Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis”, Psychological Methods, Vol. 12 No. 1, pp. 1-22.
  • eMarketer (2019), “Global ecommerce 2019. Ecommerce continues strong gains amid global economic uncertainty”, available at: (accessed 21 May 2020).
  • Faqih, K.M. and Jaradat, M.I.R.M. (2015), “Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective”, Journal of Retailing and Consumer Services, Vol. 22, pp. 37-52.
  • Funder, D.C. (1991), “Global traits: a neo-Allportian approach to personality”, Psychological Science, Vol. 2 No. 1, pp. 31-39.
  • Goldberg, L.R. (1993), “The structure of phenotypic personality traits”, American Psychologist, Vol. 48 No. 1, pp. 26-34.
  • Grewal, D., Ahlbom, C.P., Beitelspacher, L., Noble, S.M. and Nordfält, J. (2018), “In-store mobile phone use and customer shopping behavior: evidence from the field”, Journal of Marketing, Vol. 82 No. 4, pp. 102-126.
  • Groß, M. (2015a), “Exploring the acceptance of technology for mobile shopping: an empirical investigation among smartphone users”, The International Review of Retail, Distribution and Consumer Research, Vol. 25 No. 3, pp. 215-235.
  • Groß, M. (2015b), “Mobile shopping: a classification framework and literature review”, International Journal of Retail and DistributionManagement, Vol. 43 No. 3, pp. 221-241.
  • Hamari, J., Sjöklint, M. and Ukkonen, A. (2016), “The sharing economy: why people participate in collaborative consumption”, Journal of the Association for Information Science and Technology, Vol. 67 No. 9, pp. 2047-2059.
  • Handayani, W., Anshori, M., Usman, I. and Mudjanarko, S. (2018), “Why are you happy with impulse buying? Evidence from Indonesia”,Management Science Letters, Vol. 8 No. 5, pp. 283-292.
  • Hirsh, J.B. and Dolderman, D. (2007), “Personality predictors of consumerism and environmentalism: a preliminary study”, Personality and Individual Differences, Vol. 43 No. 6, pp. 1583-1593.
  • Hoffman, D.L. and Novak, T.P. (1996), “Marketing in hypermedia computer-mediated environments: conceptual foundations”, Journal of Marketing, Vol. 60 No. 3, pp. 50-68.
  • Hubert, M., Blut, M., Brock, C., Backhaus, C. and Eberhardt, T. (2017), “Acceptance of smartphonebased mobile shopping: mobile benefits, customer characteristics, perceived risks, and the impact of application context”, Psychology andMarketing, Vol. 34 No. 2, pp. 175-194.
  • Ismail, A.R. (2017), “The influence of perceived social media marketing activities on brand loyalty: the mediation effect of brand and value consciousness”, Asia Pacific Journal of Marketing and Logistics, Vol. 29 No. 1, pp. 129-144.
  • Itani, O.S., Kassar, A.N. and Loureiro, S.M.C. (2019), “Value get, value give: the relationships among perceived value, relationship quality, customer engagement, and value consciousness”, International Journal of Hospitality Management, Vol. 80, pp. 78-90.
  • Jones, M.A. (1999), “Entertaining shopping experiences: an exploratory investigation”, Journal of Retailing and Consumer Services, Vol. 6 No. 3, pp. 129-139.
  • Kim, E., Libaque-Saenz, C.F. and Park, M.C. (2019), “Understanding shopping routes of offline purchasers: selection of search-channels (online vs. offline) and search-platforms (mobile vs. PC) based on product types”, Service Business, Vol. 13 No. 2, pp. 305-338.
  • Kim, H.Y. and Kim, Y.K. (2008), “Shopping enjoyment and store shopping modes: the moderating influence of chronic time pressure”, Journal of Retailing and Consumer Services, Vol. 15 No. 5, pp. 410-419.
  • Ko, E., Kim, E.Y. and Lee, E.K. (2009), “Modeling consumer adoption of mobile shopping for fashion products in Korea”, Psychology andMarketing, Vol. 26 No. 7, pp. 669-687.
  • Konus, U., Verhoef, P.C. and Neslin, S.A. (2008), “Multichannel shopper segments and their covariates”, Journal of Retailing, Vol. 84 No. 4, pp. 398-413.
  • KPMG International (2017), “The truth about online consumers. 2017 global online consumer report”, available at: (accessed 24May 2020).
  • Li, C.F. (2013), “The revised technology acceptance model and the impact of individual differences in assessing internet banking use in Taiwan”, International Journal of Business and Information, Vol. 8 No. 1, pp. 96-119.
  • Lichtenstein, D.R., Netemeyer, R.G. and Burton, S. (1990), “Distinguishing coupon proneness from value consciousness: an acquisition-transaction utility theory perspective”, Journal of Marketing, Vol. 54 No. 3, pp. 54-67.
  • Liébana-Cabanillas, F., Marinkovic, V. and Kalinic, Z. (2017), “A SEM-neural network approach for predicting antecedents of m-commerce acceptance”, International Journal of Information Management, Vol. 37 No. 2, pp. 14-24.
  • Liu, F., Lim, E.T., Li, H., Tan, C.W. and Cyr, D. (2019a), “Disentangling utilitarian and hedonic consumption behavior in online shopping: an expectation disconfirmation perspective”, Information andManagement, Vol. 57 No. 3, p. 103199.
  • Liu, Z., Ben, S. and Zhang, R. (2019b), “Factors affecting consumers’ mobile payment behavior: a metaanalysis”, Electronic Commerce Research, Vol. 19 No. 3, pp. 575-601.
  • Lu, J. (2014), “Are personal innovativeness and social influence critical to continue with mobile commerce?”, Internet Research, Vol. 24 No. 2, pp. 134-159.
  • Lu, Y., Papagiannidis, S. and Alamanos, E. (2019), “Exploring the emotional antecedents and outcomes of technology acceptance”, Computers in Human Behavior, Vol. 90, pp. 153-169.
  • McCrae, R.R. (1989), “Why I advocate the five-factor model: joint factor analyses of the NEO-PI with other instruments”, Personality Psychology, Springer, New York, NY, pp. 237-245.
  • McLean, G., Osei-Frimpong, K., Al-Nabhani, K. andMarriott, H. (2020), “Examining consumer attitudes towards retailers’ m-commerce mobile applications – an initial adoption vs. continuous use perspective”, Journal of Business Research, Vol. 106, pp. 139-157.
  • Mahatanankoon, P. (2007), “The effects of personality traits and optimum stimulation level on textmessaging activities and m-commerce intention”, International Journal of Electronic Commerce, Vol. 12 No. 1, pp. 7-30.
  • Martínez-López, F.J., Pla-García, C., G�azquez-Abad, J.C. and Rodríguez-Ardura, I. (2016), “Hedonic motivations in online consumption behaviour”, International Journal of Business Environment, Vol. 8 No. 2, pp. 121-151.
  • Mick, D.G. (1996), “Are studies of dark side variables confounded by socially desirable responding? The case of materialism”, Journal of Consumer Research, Vol. 23 No. 2, pp. 106-119.
  • Mokhtarian, P.L., Ory, D.T. and Cao, X. (2006), “Shopping-related attitudes: a factor and cluster analysis of Northern California shoppers”, Environment and Planning B: Planning and Design, Vol. 36 No. 2, pp. 204-228.
  • Moon, M.A., Khalid, M.J., Awan, H.M., Attiq, S., Rasool, H. and Kiran, M. (2017), “Consumer’s perceptions of website’s utilitarian and hedonic attributes and online purchase intentions: a cognitive – affective attitude approach”, Spanish Journal of Marketing – Esic, Vol. 21 No. 2, pp. 73-88.
  • Mowen, J.C. (2000), The 3MModel of Motivation and Personality: Theory and Empirical Applications to Consumer Behavior, Springer Science and Business Media.
  • Mowen, J.C., Park, S. and Zablah, A. (2007), “Toward a theory of motivation and personality with application to word-of-mouth communications”, Journal of Business Research, Vol. 60 No. 6, pp. 590-596.
  • Ng, C.S.P. (2013), “Intention to purchase on social commerce websites across cultures: a crossregional study”, Information andManagement, Vol. 50 No. 8, pp. 609-620.
  • Okazaki, S. and Mendez, F. (2013), “Exploring convenience in mobile commerce: moderating effects of gender”, Computers in Human Behavior, Vol. 29 No. 3, pp. 1234-1242.
  • Ones, D.S., Viswesvaran, C. and Dilchert, S. (2005), “Personality at work: raising awareness and correctingmisconceptions”,Human Performance, Vol. 18 No. 4, pp. 389-404.
  • Ozturk, A.B., Nusair, K., Okumus, F. and Hua, N. (2016), “The role of utilitarian and hedonic values on users’ continued usage intention in a mobile hotel booking environment”, International Journal of Hospitality Management, Vol. 57, pp. 106-115.
  • Paunonen, S.V. and Ashton, M.C. (2001), “Big five factors and facets and the prediction of behavior”, Journal of Personality and Social Psychology, Vol. 81 No. 3, pp. 524-539.
  • Paypal (2018), “Paypal mcommerce index: 2018 trend report”, available at: digitalassets/c/website/marketing/apac/au/mcommerce-index/paypal-trendreport-2018.pdf (accessed 10 June 2020).
  • Pillai, K.G. and Kumar, V. (2012), “Differential effects of value consciousness and coupon proneness on consumers’ persuasion knowledge of pricing tactics”, Journal of Retailing, Vol. 88 No. 1, pp. 20-33.
  • Podsakoff, P.M., MacKenzie, S.B., Lee, J.Y. and Podsakoff, N.P. (2003), “Common method biases in behavioral research: a critical review of the literature and recommended remedies”, Journal of Applied Psychology, Vol. 88 No. 5, pp. 879-903.
  • Preacher, K.J., Rucker, D.D. and Hayes, A.F. (2007), “Addressing moderated mediation hypotheses: theory, methods, and prescriptions”,Multivariate Behavioral Research, Vol. 42 No. 1, pp. 185-227.
  • Rahman, M.A., Islam, M.A., Esha, B.H., Sultana, N. and Chakravorty, S. (2018), “Consumer buying behavior towards online shopping: an empirical study on Dhaka city, Bangladesh”, Cogent Business andManagement, Vol. 5 No. 1, p. 1514940.
  • Ramírez-Correa, P., Grand�on, E.E., Alfaro-Pérez, J. and Painén-Aravena, G. (2019), “Personality types as moderators of the acceptance of information technologies in organizations: a multi”, Sustainability”, , Vol. 11 No. 14, pp. 1-15.
  • Riorini, S.V. (2018), “Social media marketing toward perceptual consciousness and its impact on online purchasing intention”, European Research Studies Journal, Vol. 21 No. 1, pp. 402-416.
  • Riquelme, I.P. and Román, S. (2014), “The influence of consumers’ cognitive and psychographic traits on perceived deception: a comparison between online and offline retailing contexts”, Journal of Business Ethics, Vol. 119 No. 3, pp. 405-422.
  • San-Martín, S., López-Catalán, B. and Ramón-Jerónimo, M.A. (2013), “Mobile shoppers: types, drivers, and impediments”, Journal of Organizational Computing and Electronic Commerce, Vol. 23 No. 4, pp. 350-371.
  • Sarkar, S., Khare, A. and Sadachar, A. (2019), “Influence of consumer decision-making styles on use of mobile shopping applications”, Benchmarking: An International Journal, Vol. 27 No. 1, pp. 1-20.
  • Seock, Y.K. and Bailey, L.R. (2008), “The influence of college students’ shopping orientations and gender differences on online information searches and purchase behaviours”, International Journal of Consumer Studies, Vol. 32 No. 2, pp. 113-121.
  • Shang, R.A., Chen, Y.C. and Shen, L. (2005), “Extrinsic versus intrinsic motivations for consumers to shop on-line”, Information andManagement, Vol. 42 No. 3, pp. 401-413.
  • Shankar, A., Jebarajakirthy, C. and Ashaduzzaman, M. (2020), “How do electronic word of mouth practices contribute to mobile banking adoption?”, Journal of Retailing and Consumer Services, Vol. 52, p. 101920.
  • Shareef, M.A., Baabdullah, A., Dutta, S., Kumar, V. and Dwivedi, Y.K. (2018), “Consumer adoption of mobile banking services: an empirical examination of factors according to adoption stages”, Journal of Retailing and Consumer Services, Vol. 43, pp. 54-67.
  • Singh, R. (2019), “Why do online grocery shoppers switch or stay? An exploratory analysis of consumers’ response to online grocery shopping experience”, International Journal of Retail and Distribution Management, Vol. 47 No. 12, pp. 1300-1317.
  • Smith, T.A. (2020), “The role of customer personality in satisfaction, attitude-to-brand and loyalty in mobile services”, Spanish Journal of Marketing – ESIC, accepted for publication.
  • Sohn, S. and Groß, M. (2020), “Understanding the inhibitors to consumer mobile purchasing intentions”, Journal of Retailing and Consumer Services, Vol. 55, p. 102129.
  • Soto, C.J. and John, O.P. (2017), “The next big five inventory (BFI-2): developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power”, Journal of Personality and Social Psychology, Vol. 113 No. 1, pp. 117-143.
  • Sujatha, R. and Sekkizhar, J. (2019), “Determinants of m-commerce adoption in India using technology acceptance model infused with innovation diffusion theory”, Journal of Management Research, Vol. 19 No. 3, pp. 193-204.
  • Venkatesh, V. and Davis, F.D. (2000), “A theoretical extension of the technology acceptance model: four longitudinal field studies”, Management Science, Vol. 46 No. 2, pp. 186-204.
  • Venkatesh, V., Thong, J.Y. and Xu, X. (2012), “Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology”,MIS Quarterly, Vol. 36 No. 1, pp. 157-178.
  • Vieira, V., Santini, F.O. and Araujo, C.F. (2018), “A meta-analytic review of hedonic and utilitarian shopping values”, Journal of ConsumerMarketing, Vol. 35 No. 4, pp. 426-437.
  • Wang, W., He, H., Sahadev, S. and Song, W. (2018), “UK consumers’ perceived risk of buying products from emerging economies: a moderated mediation model”, Journal of Consumer Behaviour, Vol. 17 No. 3, pp. 326-339.
  • Wenzel, S. and Benkenstein, M. (2018), “Together always better? The impact of shopping companions and shopping motivation on adolescents’ shopping experience”, Journal of Retailing and Consumer Services, Vol. 44, pp. 118-126.
  • Westbrook, R.A. and Black, W.C. (1985), “A motivation-based shopper typology”, Journal of Retailing, Vol. 61, pp. 78-103.
  • Wiggins, J.S. and Pincus, A.L. (1992), “Personality: structure and assessment”, Annual Review of Psychology, Vol. 43 No. 1, pp. 473-504.
  • Wixom, B.H. and Todd, P.A. (2005), “A theoretical integration of user satisfaction and technology acceptance”, Information Systems Research, Vol. 16 No. 1, pp. 85-102.
  • Wong, Y.T., Osman, S., Jamaluddin, A. and Yin-Fah, B.C. (2012), “Shopping motives, store attributes and shopping enjoyment among Malaysian youth”, Journal of Retailing and Consumer Services, Vol. 19 No. 2, pp. 240-248.
  • Woods, S., Mustafa, M., Anderson, N.R. and Sayer, B. (2018), “Innovative work behavior and personality traits: examining the moderating effects of organizational tenure”, Journal of Managerial Psychology, Vol. 33 No. 1, pp. 29-42.
  • Wu, L., Li, J.Y. and Fu, C.Y. (2011), “The adoption of mobile healthcare by hospital’s professionals: an integrative perspective”,Decision Support Systems, Vol. 51 No. 3, pp. 587-596.
  • Yang, K. (2012), “Consumer technology traits in determining mobile shopping adoption: an application of the extended theory of planned behavior”, Journal of Retailing and Consumer Services, Vol. 19 No. 5, pp. 484-491.
  • Zanjani, S.H., Milne, G.R. and Miller, E.G. (2016), “Procrastinators’ online experience and purchase behavior”, Journal of the Academy ofMarketing Science, Vol. 44 No. 5, pp. 568-585.
  • Zhang, J. and Mao, E. (2020), “Cash, credit, or phone? An empirical study on the adoption of mobile payments in the United States”, Psychology andMarketing, Vol. 37 No. 1, pp. 87-98.
  • Zhang, L., Zhu, J. and Liu, Q. (2012), “Ameta-analysis of mobile commerce adoption and the moderating effect of culture”, Computers in Human Behavior, Vol. 28 No. 5, pp. 1902-1911.
  • Zheng, X., Men, J., Yang, F. and Gong, X. (2019), “Understanding impulse buying in mobile commerce: an investigation into hedonic and utilitarian browsing”, International Journal of Information Management, Vol. 48, pp. 151-160.
  • Zhou, T. and Lu, Y. (2011), “The effects of personality traits on user acceptance of mobile commerce”, International Journal of Human-Computer Interaction, Vol. 27 No. 6, pp. 545-561.