Attitude toward m-advertising and m-repurchase

  1. Nadia Huitzilin Jiménez Torres 1
  2. Sonia San Martín Gutiérrez 1
  1. 1 Universidad de Burgos

    Universidad de Burgos

    Burgos, España


European Research on Management and Business Economics

ISSN: 2444-8834

Year of publication: 2017

Volume: 23

Issue: 2

Pages: 96-102

Type: Article

DOI: 10.1016/J.IEDEEN.2016.12.001 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: European Research on Management and Business Economics


Cited by

  • Scopus Cited by: 26 (15-05-2023)
  • Dialnet Metrics Cited by: 1 (29-05-2023)
  • Web of Science Cited by: 16 (20-05-2023)
  • Dimensions Cited by: 20 (04-04-2023)

SCImago Journal Rank

  • Year 2017
  • SJR Journal Impact: 0.154
  • Best Quartile: Q3
  • Area: Business and International Management Quartile: Q3 Rank in area: 265/466
  • Area: Marketing Quartile: Q4 Rank in area: 135/198
  • Area: Strategy and Management Quartile: Q4 Rank in area: 329/515
  • Area: Economics and Econometrics Quartile: Q4 Rank in area: 514/691

Índice Dialnet de Revistas

  • Year 2017
  • Journal Impact: 0.570
  • Field: ECONOMÍA Quartile: C1 Rank in field: 19/170


  • Social Sciences: A+

Scopus CiteScore

  • Year 2017
  • CiteScore of the Journal : 1.3
  • Area: Business and International Management Percentile: 54
  • Area: Strategy and Management Percentile: 47
  • Area: Economics and Econometrics Percentile: 46
  • Area: Marketing Percentile: 42

Journal Citation Indicator (JCI)

  • Year 2017
  • Journal Citation Indicator (JCI): 0.35
  • Best Quartile: Q3
  • Area: BUSINESS Quartile: Q3 Rank in area: 195/272
  • Area: ECONOMICS Quartile: Q3 Rank in area: 361/534
  • Area: MANAGEMENT Quartile: Q3 Rank in area: 266/366


(Data updated as of 04-04-2023)
  • Total citations: 20
  • Recent citations: 12
  • Field Citation Ratio (FCR): 6.44


One of the business models that attracts scholars and professionals’ interest is mobile commerce. This paper applies the theory of shopping preference to this field. It analyzes the role of personal factors (perceived control and propensity to use technology), social factors (influence of a social group), and epistemic factors (compatibility) to determine consumers’ attitude toward mobile advertising (m-advertising) and mobile repurchase (m-repurchase). The information of 973 mobile shoppers is analyzed in two contexts (Spain as a developed country and Mexico as a developing country). A positive attitude toward m-advertising is confirmed to increase m-repurchase through the mobile phone and the indirect influence of personal, social, and epistemic factors on shoppers m-repurchase (through the attitude toward m-advertising) varies depending on the analyzed market.

Funding information

This work was supported by the Ministry of Economy and Competitiveness (Spain) through funding (Grant reference: ECO2014-53060-R) for a research project on distribution and technologies.


Bibliographic References

  • Achadinha, N.M.J., Jama, L., Nel, P., The drivers of consumers’ intention to redeem a push mobile coupon. Behaviour & Information Technology 33:12 (2014), 1306–1316.
  • Bagozzi, R.P., Yi, Y., On the evaluation of structural equation models. Journal of the Academy of Marketing Science 16:1 (1988), 74–94.
  • Bauer, H.H., Barnes, S.J., Reichardt, T., Neumann, M.M., Driving consumer acceptance of mobile marketing: A theoretical framework and empirical study. Journal of Electronic Commerce Research 6:3 (2005), 181–192.
  • Carter, L., Bélanger, F., The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal 15 (2005), 5–26.
  • Carter, S., Yeo, A.C.M., Mobile apps usage by Malaysian business undergraduates and postgraduates: Implications for consumer behaviour theory and marketing practice. Internet Research 26:3 (2016), 733–757.
  • Chang, I.C., Chou, P.C., Yeh, R.K.J., Tseng, H.T., Factors influencing Chinese tourists’ intentions to use the Taiwan Medical Travel App. Telematics and Informatics 33:2 (2016), 401–409.
  • Chao, C.W., Reid, M., Mavondo, F., Global consumer innovativeness and consumer electronic product adoption. Asia Pacific Journal of Marketing and Logistics 25:4 (2013), 614–630.
  • Chemingui, H., Ben lallouna, H., Resistance, motivations, trust and intention to use mobile financial services. International Journal of Bank Marketing 31:7 (2013), 574–592.
  • Cho, S., Workman, J., Gender, fashion innovativeness and opinion leadership, and need for touch: Effects on multi-channel choice and touch/non-touch preference in clothing shopping. Journal of Fashion Marketing and Management 15:3 (2011), 363–382.
  • Cho, S., Workman, J., Influences of gender, need for affect, and tolerance for risk-taking on use of information sources. Journal of Fashion Marketing and Management 18:4 (2014), 465–482.
  • Choi, Y.K., Hwang, J.S., McMillan, S.J., Gearing up for mobile advertising: A cross-cultural examination of key factors that drive mobile messages home to consumers. Psychology & Marketing 25:8 (2008), 756–768.
  • Chung, K.C., Holdsworth, D.K., Culture and behavioural intent to adopt mobile commerce among the Y Generation: Comparative analyses between Kazakhstan, Morocco and Singapore. Young Consumers 13:3 (2012), 224–241.
  • Duffy, D.L., Internal and external factors which affect customer loyalty. Journal of Consumer Marketing 20:5 (2003), 480–485.
  • Fornell, C., Larcker, D.F., Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 1981, 382–388.
  • Gazley, A., Hunt, A., McLaren, L., The effects of location-based-services on consumer purchase intention at point of purchase. European Journal of Marketing 49:9/10 (2015), 1686–1708.
  • Goldsmith, R., Explaining and predicting consumer intention to purchase over the internet: An exploratory study. Journal of Marketing 66 (2002), 22–28.
  • Goldsmith, R.E., Hofacker, C.F., Measuring consumer innovativeness. Journal of the Academy of Marketing Science 19:3 (1991), 209–221.
  • Google, Our Mobile Planet estudio para España y para México. 2014 Accessed 19.01.16.
  • Groß, M., Mobile shopping: A classification framework and literature review. International Journal of Retail & Distribution Management 43:3 (2015), 221–241.
  • Harris, L.C., Goode, M.M.H., The four levels of loyalty and the pivotal role of trust: A study of online service dynamics. Journal of Retailing 8:2 (2004), 139–158.
  • Hoffman, D.L., Novak, T.P., Peralta, M.A., Building consumer trust online. Communications of the ACM 42:4 (1999), 80–85.
  • Hofstede, G., The cultural relativity of organizational practices and theories. Journal of International Business Studies 14:2 (1983), 75–89.
  • Hofstede, G.H., Hofstede, G.J., Minkov, M., Cultures and organizations: Software of the mind – Intercultural cooperation and its importance for survival. 2010, McGraw-Hill, New York.
  • ITU – International Telecommunication Union, Estadísticas. 2014 Accessed 19.01.16.
  • Jayawardhena, C., Kuckertz, A., Karjaluoto, H., Kautonen, T., Antecedents to permission based mobile marketing: An initial examination. European Journal of Marketing 43:3/4 (2009), 473–499.
  • Jeong, N., Yoo, Y., Heo, T.-Y., Moderating effect of personal innovativeness on mobile-RFID services: Based on Warshaw's purchase intention model. Technological Forecasting & Social Change 76:1 (2009), 154–164.
  • Lee, T., Jun, J., Contextual perceived value? Investigating the role of contextual marketing for customer relationship management in a mobile commerce context. Business Process Management Journal 13:6 (2007), 798–814.
  • Li, M., Dong, Z.Y., Chen, X., Factors influencing consumption experience of mobile commerce: A study from experiential view. Internet Research 22:2 (2012), 120–141.
  • Lin, K.Y., Lu, H.P., Predicting mobile social network acceptance based on mobile value and social influence. Internet Research 25:1 (2015), 107–130.
  • Martín de Bernardo, C., Priede Bergamini, T., Marketing móvil. Una nueva herramienta de comunicación. 2007, Netbiblo.
  • Mortimer, G., Neale, L., Hasan, S.F.E., Dunphy, B., Investigating the factors influencing the adoption of m-banking: A cross cultural study. International Journal of Bank Marketing 33:4 (2015), 545–570.
  • Muk, A., Chung, C., Applying the technology acceptance model in a two-country study of SMS advertising. Journal of Business Research 68:1 (2015), 1–6.
  • Nysveen, H., Pedersen, P., Tohorbjornsen, H., Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of Marketing Science 33 (2005), 330–346.
  • Oh, S., Ahn, J., Kim, B., Adoption of broadband internet in Korea: The role of experience in building attitudes. Journal of Information Technology Theory and Application 18:4 (2003), 267–280.
  • Pedersen, P.E., Adoption of mobile internet services: An exploratory study of mobile commerce early adopters. Journal of Organizational Computing and Electronic Commerce 15 (2005), 203–222.
  • Pihlström, M., Brush, G.J., Comparing the perceived value of information and entertainment mobile services. Psychology & Marketing 25:8 (2008), 732–755.
  • Premkumar, G., Ramamurthy, K., Implementation of electronic data interchange: An innovation diffusion perspective. Journal of Management Information Systems 11:2 (1994), 157–187.
  • Reicheld, F.F., El efecto lealtad: crecimiento, beneficios y valor último. 2002, Editorial Ariel.
  • Schierz, P.G., Schilke, O., Wirtz, B.W., Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications 9:3 (2010), 209–216.
  • Sheth, J.N., An integrative theory of patronage preference and behavior. 1981, College of Commerce and Business Administration, Bureau of Economic and Business Research, University of Illinois, Urbana-Champaign.
  • Sheth, J.N., Newman, B.I., Gross, B.L., Why we buy what we buy: A theory of consumption values. Journal of Business Research 22:2 (1991), 159–170.
  • Song, J., Sawang, S., Andrews, L., Drennan, J., Same but different? Mobile technology adoption in China. Information Technology & People 28:1 (2015), 107–132.
  • Taylor, S., Todd, P.A., Understanding information technology usage: A test of competing models. Information Systems Research 6 (1995), 144–176.
  • UNDP – United Nations Development Programme, Informe sobre Desarrollo Humano. 2015 Accessed 19.01.16.
  • Wu, J.-H., Wang, S.-C., What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & Management 42 (2005), 719–729.
  • Yang, B., Lester, D., James, S., Attitudes toward buying online as predictors of shopping online for British and American respondents. CyberPshychology & Behavior 10 (2007), 198–203.
  • Zeithaml, V.A., Berry, L.L., Parasuraman, A., The behavioral consequences of service quality. The Journal of Marketing 60 (1996), 31–46.