The role of demographic characteristics and digital literacy in the digital marketing of sports cafes and shops

Document Type : Original Article

Authors

1 Department of Management and Accounting, Faculty of Humanities, University of Zanjan, Zanjan, Iran

2 Department of Sports Science, Faculty of Humanities, University of Zanjan, Zanjan, Iran

https://www.doi.org/10.34785/J021.2022.002

Abstract

Digital technologies, along with the use of various traditional marketing methods, are able to have a significant impact on customer acquisition and sales of organizations in different sizes. Also in recent years, due to the increasing use of digital devices or in critical situations such as the widespread outbreak of the Corona virus, organizations and companies are finding it increasingly necessary to benefit from the digital market to continue their activities and progress. But, the use of technology in any field requires its own digital literacy. Digital technology tools in corporate digital marketing are no exception. Managers and salespeople of business units must have sufficient literacy and knowledge of the field of their work and the digital tools they use for digital marketing. The purpose of this study was to investigate the role of demographic characteristics and digital literacy in digital marketing of sports cafes and shops. The research method was descriptive correlation. The statistical population of the study includes; All the officials, managers and owners of cafes and sports shops were in the three provinces of Golestan, Mazandaran and Gilan. These three provinces are located in the north of Iran. It took about 2 months to send 990 invitation links to the owners, managers and sellers of cafes and sports shops. 293 people clicked on the link. Finally 122 reliable questionnaires were collected and analyzed. 102 people completed the research questionnaire via smartphone, 19 through a personal computer or laptop, and one using a tablet. Among the completed questionnaires, 75 cafes and 47 sports shops participated. average time for responding to the questionnaire was 9 minutes and 45 seconds. The instruments used were two questionnaires: digital marketing (Shakoori and Mohammadi, 2018) and digital literacy (Tohidi Asl, 2012). The digital literacy questionnaire has 20 questions with a 5-point Likert scale and the digital marketing questionnaire has 27 questions with a 5-point Likert scale. Appearance and content validity of both questionnaires were performed by experts and professors and the structural validity of the questionnaires was done using confirmatory factor analysis. Cronbach's alpha of the Digital Marketing Questionnaire and the Digital Literacy Questionnaire of 0.832 and 0.930 also confirmed their reliability. Questionnaires were designed on Porsline, and distributed and collected online using Social Media platforms like Instagram and websites which interduces cafes or Department of Labor`s website. SPSS software was used to analyze the information obtained from the questionnaire. Data analysis was performed using correlation tests and regression analysis. In the present study, descriptive statistics including tables and graphs and central and dispersion indices such as mean and standard deviation were used to describe the research variables and demographic variables. Spearman correlation test was used to test the research hypotheses due to the non-normality of the data. Multiple simple regression was also used to investigate the impact of digital marketing on digital literacy and its dimensions. 75 cafes with a frequency of %61.48 and 47 sports stores with a frequency of %38.52 participated in completing the questionnaire. Also, the statistical sample of the study includes 96 men with a frequency of %78.69 and 26 women with a frequency of %21.31. The highest number of questionnaire completers is related to the age group of 26-35 years with a frequency of 56.57% and the lowest number is related to the age group of 45 years and above with a frequency of 1.63%. The frequency of education levels of individuals is from high to low, respectively bachelor's degree, diploma, postgraduate education and finally associate degree. The highest income with a frequency of 53 individuals is related to 5.1 million and more, and the lowest amount of income is related to a million and less with a frequency of 8 people. The results showed that among the demographic characteristics, age and education level variables play a role in digital marketing. In order to investigate the effect of these two variables on the components of digital marketing due to their abnormal distribution, Kruskal[1]Wallis nonparametric test was used. According to the results, there is a significant difference between the variable of using social networks and the age of the respondents at the level of 99% confidence and between the variable of digital marketing performance with the age group of the respondents, there is a significant difference at the 95% confidence level. The age group of 26-35 years has more use of social networks and also a better marketing performance than other age groups. There is a significant difference between the digital marketing performance variable and the respondents 'education level at 99% confidence level and between the digital marketing planning variable and the respondents' education level at 95% confidence level. Graduates have better marketing performance and better marketing planning than other study groups. The nonparametric Mann-Whitney test was used to investigate the role of gender on the components of digital marketing due to the abnormal distribution of variables; But the obtained results did not show any significant differences between the components of digital marketing between groups with different genders. The results of regression analysis also confirmed the significant impact of digital literacy and its levels on digital marketing. Regression analysis showed that the variables of digital competence, digital usage and digital transformation had a significant effect on the dependent variable. Linear regression was used to investigate the effect of each level of digital literacy on each dimension of digital marketing. According to the results of this test, the most effect of the digital competency variable was on the variable of using social networks, which explained 38.7% of this variable. Also, the most effect of the digital user variable was on the variable of using social networks, which explained 41.8% of this variable. Finally, the most effect of the digital transfer variable was on the digital marketing planning variable, which explained 46.7% of this variable. According to the findings, all cafes and sports shops are recommended to use younger and more educated people who have a higher level of digital literacy, and to consider digital literacy promotion courses for them. It is also recommended that owners of cafes and sports shops continue digital marketing alongside their traditional marketing with short- or long-term planning. The spread of the coronavirus and the limited activity of cafes and sports shops can be the best opportunity to take advantage of digital marketing

Keywords


Agim, E. C., & Azolo, E. M. (2019). Digital Literacy And Job Performance Of 21st Century Library Staff In Imo State. Library Research Journal, 4(1), 15-26.
Akre, V., Rajan, A., Ahamed, J., Al Amri, A., & Al Daisi, S. (2019, November). Smart Digital Marketing f Financial Services to Millennial Generation using emerging technological tools and buyer ersona. In 2019 Sixth HCT Information Technology Trends (ITT) (pp. 120-125).
IEEE. Ali, J., & Shabir, S. (2017). Does gender make a difference in business performance? Evidence from a large enterprise survey data of India. Gender in Management: An International Journal.
Amiryousefi, M. (2017). Affordances and limitations of technology: Voices from EFL teachers and learners. Journal of English Language Teaching and Learning, 9(19), 1-24.
Bala, M., & Verma, D. (2018). A critical review of digital marketing. M. Bala, D. Verma (2018). A Critical eview of Digital Marketing. International Journal of Management, IT & Engineering, 8(10), 321- 339.
Bhagowati, D., & Dutta, D. M. (2018). A Study on Literature Review for Identifying the Factors Impacting Digital Marketing. International Journal of Sales & Marketing Management Research and Development (IJSMMRD), 8, 1-8.
Bocconcelli, R., Cioppi, M., & Pagano, A. (2017). Social media as a resource in SMEs’ sales process. Journal of Business & Industrial Marketing.
Bull, S., & Wasson, B. (2016). Competence visualisation: Making sense of data from 21st-century technologies in language learning. ReCALL, 28(2), 147-165.
Cole, H. S., DeNardin, T., & Clow, K. E. (2017). Small service businesses: Advertising attitudes and the use of digital and social media marketing. Services Marketing Quarterly, 38(4), 203-212.
Dees, W., Walsh, P., McEvoy, C. D., McKelvey, S., Mullin, B. J., Hardy, S., & Sutton, W. A. (2021). Sport marketing. Human Kinetics.
Gilster, P. (1997). Digital literacy. https://dl.acm.org/doi/abs/10.5555/260946.
Giotopoulos, I., Kontolaimou, A., Korra, E., & Tsakanikas, A. (2017). What drives ICT adoption by SMEs? Evidence from a large-scale survey in Greece. Journal of Business Research, 81, 60-69.
Goel, D. (2016, December 22). What factors affect Digital Marketing? https://www.linkedin.com/pulse/what-factors-affects-digital-marketing deepak-goel. 55
Grgurović, M., Chapelle, C. A., & Shelley, M. C. (2013). A meta-analysis of effectiveness studies on computer technology-supported language learning. ReCALL, 25(2), 165-198.
Gupta, G. (2019). Inclusive use of digital marketing in tourism industry. In information systems design and intelligent applications (pp. 411-419).
Springer, Singapore. Hurth, E. (2020). The Enemy of Digital Literacy is Digital Marketing. New Jersey English Journal, 9(1), 9.
Imran, H. A. (2010). Literasi teknologi informasi dan komunikasi masyarakat pedesaan. dalamsulhanihermawan, http://sulhanihermawan. files. wordpress. com/2012/03/contoh risetkuantitatif. pdf, diakses, 4.
Islami, N. N. (2019, March). The effect of digital literacy toward enterpreneur behaviors through students’ intention enterpreneurship on Economics Education Study Program at Jember. In IOP Conference Series: Earth and Environmental Science (Vol. 243, No. 1, p. 012084).
IOP publishing.
Jafari-Sadeghi, V., Kimiagari, S., & Biancone, P. P. (2019). Level of education and knowledge, foresight competency and international entrepreneurship: a study of human capital determinants in the European countries. European Business Review.
Khan, M. S., & Mahapatra, S. S. (2009). Service quality evaluation in internet banking: an empirical study in India. International Journal of Indian Culture and Business Management, 2(1), 30-46.
Krishen, A. S., Dwivedi, Y. K., Bindu, N., & Kumar, K. S. (2021). A broad overview of interactive digital marketing: A bibliometric network analysis. Journal of Business Research, 131, 183-195.
List, A. (2019). Defining digital literacy development: An examination of pre-service teachers’ beliefs. Computers & Education, 138, 146-158.
 Manoli, A. E. (2018). Sport marketing’s past, present and future; an introduction to the special issue on contemporary issues in sports marketing. Journal of Strategic Marketing, 26(1), 1-5.
Martin, A. (2009). Digital literacy for the third age: Sustaining identity in an uncertain world. ELearning Papers, 12, 1-15.
Matarazzo, M., Penco, L., Profumo, G., & Quaglia, R. (2021). Digital transformation and customer value creation in Made in Italy SMEs: A dynamic capabilities perspective. Journal of Business Research, 123, 642- 656.
Melović, B., Jocović, M., Dabić, M., Vulić, T. B., & Dudic, B. (2020). The impact of digital transformation and digital marketing on the brand promotion, positioning and electronic business in Montenegro. Technology in Society, 63, 101425.
Miklosik, A., Kuchta, M., Evans, N., & Zak, S. (2019). Towards the adoption of machine learning-based analytical tools in digital marketing. Ieee Access, 7, 85705-85718.
Mkwizu, K. H. (2019). Digital marketing and tourism: opportunities for Africa. International Hospitality Review.
Mohammadyari, S., & Singh, H. (2015). Understanding the effect of elearning on individual performance: The role of digital literacy. Computers & Education, 82, 11-25.
Murdoch, D., & Fichter, R. (2017). From doing digital to being digital: Exploring workplace adoption of technology in the age of digital disruption. International Journal of Adult Vocational Education and Technology (IJAVET), 8(4), 13-28.
Pascalau, S. V., & Urziceanu, R. M. (2021). Traditional Marketing Versus Digital Marketing. Agora International Journal Of Economical Sciences, 14.
Peterson, R. A., & Altounian, D. (2019). Self-perceived Performance of Female-owned Firms and Male- owned Firms: Insights from Black and Mexican-American Entrepreneurs. In Go-to-Market Strategies for Women Entrepreneurs. Emerald Publishing Limited.
Polizzi, G. (2020). Digital literacy and the national curriculum for England: Learning from how the experts engage with and evaluate online content. Computers & Education, 152, 103859.
Portes, A., N'goala, G., & Cases, A. S. (2020, June). Should digital marketing practices be more transparent? An empirical investigation on the roles of consumer digital literacy and privacy concerns in self-service technologies. In 16th International Research Conference in Service Management.
Prathivi, M. D. G. (2020). Digital Marketing And Indonesia’s Youth Entrepreneurs’business. Jurnal Aplikasi Manajemen, 18(1), 86-94.
Reisdorf, B. C., & Groselj, D. (2017). Internet (non-) use types and motivational access: Implications for digital inequalities research. New Media & Society, 19(8), 1157-1176. 57
Rialp-Criado, A., & Rialp-Criado, J. (2018). Examining the impact of managerial involvement with social media on exporting firm performance. International Business Review, 27(2), 355-366.
Ritz, W., Wolf, M., & McQuitty, S. (2019). Digital marketing adoption and success for small businesses: The application of the do-it-yourself and technology acceptance models. Journal of Research in interactive Marketing.
Salehi, M., Mirzaei, H., Aghaei, M., & Abyari, M. (2012). Dissimilarity of E-marketing VS traditional marketing. International journal of academic research in business and social sciences, 2(1), 510- 515.
Van Deursen, A. J., Helsper, E. J., & Eynon, R. (2016). Development and validation of the Internet Skills Scale (ISS). Information, Communication & Society, 19(6), 804-823.
Y Eshet - Journal of educational multimedia and hypermedia. (2004). Digital literacy: A conceptual framework for survival skills in the digital era. Learntechlib.Org, 13(1), 93–106.
Yasmin, A., Tasneem, S., & Fatema, K. (2015). Effectiveness of digital marketing in the challenging age: An empirical study. International journal of management science and business administration, 1(5), 69-80.
Zhang, J. J., Kim, E., Mastromartino, B., Qian, T. Y., & Nauright, J. (2018). The sport industry in growing economies: critical issues and challenges. International Journal of Sports Marketing and Sponsorship.
Ziółkowska, M. J. (2021). Digital transformation and marketing activities in small and medium-sizedenterprises. Sustainability, 13(5), 2512