How do security and benefits instill trustworthiness of a digital local currency?
Keywords:local digital currency, security, benefits, trust, age and work experience of individuals, logistic regression
Research background: The existence of new technologies and increase in the extensive usage of the internet by individuals, forces governments, local authorities and practitioners to create alternative payment methods such as digital currencies. However, some of the individuals are concerned about trusting these currencies since they negatively perceive their security. Moreover, some people with low income have the willingness to use these currencies in case of receiving some financial benefits. In this regard, security and benefits have been used as tools to increase the trustworthiness of digital currencies.
Purpose of the article: The goal of this study is to investigate and to examine the influences of security and benefits of a local digital currency on potential users? trust in this currency. This paper also considers the age and work experience of prospective users and investigate these variables? effects on stated relationships.
Methods: This paper is based on a case study that includes 413 respondents who are workers of a large company in Cieszyn Silesia region of the Czech Republic. A questionnaire survey was employed by researchers to determine the perceptions of potential local currency users. Binary logistic regression analyses were performed to examine the relationships between selected variables. Calculations were made using SPSS Statistics software.
Findings & Value added: The results of this paper confirm the positive influences of security and provided benefits on the trust of a digital currency. Regarding characteristics of potential users, perceptions of younger and less experienced users regarding the security and financial benefits are more positive to trust this currency comparing to older and more experienced respondents. Trade freedom of a country, long term orientation and individualistic characteristics of potential users might be reasons for the positive relation-ships between security, benefits and trust in a local digital currency. On the other hand, the income of prospective users, new technology curiosity, and experience of users might be mounting pieces of evidence to explain the differences in the perceptions of potential users regarding security, benefits and trust to a local digital currency. This paper also proposes some policy implementations to users, practitioners, local authorities and governments to make them cope with the security and trust issues of these currencies.
Abraham, J. Sutiksno, D. U., Kurniasih, N., & Warokka, A. (2019). Acceptance and penetration of bitcoin: the role of psychological distance and national culture. SAGE Open, 9(3). doi:10.1177/2158244019865813.
Acar, E., & Göç, Y. (2011). Prediction of risk perception by owners’ psychological traits in small building contractors. Construction Management and Economics, 29(8). doi: 10.1080/01446193.2011.611521.
Almuraqab, N. A. S. (2019). Predicting determinants of the intention to use digital currency in the UAE: an empirical study. Electronic Journal of Information Systems in Developing Countries. Advance online publication. doi: 10.1002/ isd2.12125.
Alzahrani, S., & Daim, T. U. (2019). Evaluation of the cryptocurrency adoption decision using hierarchical decision modeling (HDM). In 2019 Portland international conference on management of engineering and technology (PICMET), Portland, OR, USA, 2019. doi: 10.23919/PICMET.2019.8893897.
Bansal, G., & Zahedi, F. M. (2014). Trust-discount tradeoff in three contexts: Frugality moderating privacy and security concerns. Journal of Computer Information Systems, 55(1). doi: 10.1080/08874417.2014.11645737.
Bashir, M., Strickland, B., & Bohr, J. (2016). What motivates people to use bitcoin? In E. Spiro & Y. Y. Ahn (Eds). Social informatics. SocInfo 2016. Lecture Notes in Computer Science, vol 10047. Springer, Cham. doi:10.1007/978-3-319-47874-6_25.
Blanc, J. (2011). Classifying “CCs”: community, complementary and local currencies´ types and generations. International Journal of Community Currency Research, 15(D). doi: 10.15133/j.ijccr.2011.013.
Blazquez, M., Herrarte, A., & Llorente-Heras, R. (2018). Competencies, occupational status, and earnings among European university graduates. Economics of Education Review, 62. doi: 10.1016/j.econedurev.2017.10.006.
Bohr, J., & Bashir, M. (2014). Who uses bitcoin? An exploration of the bitcoin community. In Electrical and electronics engineers Inc. 12th annual conference on privacy, security and trust. doi: 10.1109/PST.2014.6890928.
Brenes, E. (2011). Complementary currencies for sustainable local economies in Central America. International Journal of Community Currency Research, 15. doi: 10.15133/j.ijccr.2011.018
Bucko, J., Paľová, D., & Vejačka, M. (2015). Security and trust in cryptocurrencies. In Conference: central European conference in finance and economics. Retrieved from: https://www.researchgate.net/publication/31795 5860_Security_and_Trust_in_Cryptocurrencies (28.02.2020).
Cannas, R. (2017). Embedding social values in tourism management: community currencies as laboratories of social entrepreneurship? In D. Dredge & S. Gyimóthy (Eds). Collaborative economy and tourism. Tourism on the verge. Springer, Cham. doi: 10.1007/978-3-319-51799-5_13.
Chakrabarti, C., & Basu, S. (2019). A blockchain based incentive scheme for post disaster opportunistic communication over DTN. In Proceedings of the 20th international conference on distributed computing and networking (ICDCN '19). New York, NY: Association for Computing Machinery. doi: 10.1145/3288599 .3295584.
Chard, K., Bubendorfer, K., Caton, S., & Rana, O. F. (2012). Social cloud computing: a vision for socially motivated resource sharing. IEEE Transactions on Services Computing, 5(4). doi: 10.1109/TSC.2011.39.
Collom, E. (2007). The motivations, engagement, satisfaction, outcomes, and demographics of time bank participants: Survey findings from a U.S. system. International Journal of Community Currency Research, 11. doi: 10.15133/j.ijccr .2007.004.
De Carrillo, C. I. P., Esteva, J. L. R., Pena, P. N. C., & Pharow, P. (2018). Identification of barriers and solutions for adoption of social, complementary and/or virtual currencies. International Journal of Community Currency Research, 22. doi: 10.15133/j.ijccr.2018.020.
Dobes, K., Kot S., Kramolis J., & Sopkova G. (2017). The perception of governmental support in the context of competitiveness of SMEs in the Czech Republic. Journal of Competitiveness, 9(3). doi: 10.7441/joc.2017.03.03.
Duasa, J., Thaker, M. A. M. T., & Rahman, M. P. (2018). Local currency model: to boost economic activities of indigenous community in Malaysia. Turkish Online Journal of Design, Art and Communication – TOJDAC. doi: 10.7456/ 1080SSE/175.
Duman, T., & Mattila, A. (2003). A logistic regression analysis of dis-count receiving behavior in the cruise industry: implications for cruise marketers. In-ternational Journal of Hospitality & Tourism Administration, 4(4). doi: 10.130 0/J149v04n0403.
Field, A. (2009). Discovering statistics using SPSS. London: Sage Publications, Third Edition.
Folkinshteyn, D., & Lennon, M. M. (2016). Braving bitcoin: a technology acceptance model analysis. Journal of Information Technology Case and Application Research, 18(4). doi:10.1080/15228053.2016.1275242.
Franca, A. S. L., Amato-Neto. J., Goncalves, R. F., & Almeida, C. M. V. B. (2020). Proposing the use of blockchain to improve the solid waste management in small municipalities. Journal of Cleaner Production, 244. doi: 10.1016 /j.jclepro.2019.118529
Furnham, A. (2017). Personality differences in managers who have, and have not, worked abroad. European Management Journal, 35(1). doi: 10.1016/j.emj. 2016.10.002.
Furnham, A., & Palaiou, K. (2017). Applicant attraction to organizations and job choice. In H. W. Goldstein, E. D. Pulakos, J. Passmore, & C. Semedo (Eds.), Wiley Blackwell handbooks in organizational psychology. The Wiley Blackwell handbook of the psychology of recruitment, selection and employee retention. Wiley-Blackwell. doi: 10.1002/9781118972472.ch5.
Gawthorpe, K. (2017). Which characteristics of communities boost time-banking? Case study of the United States. International Journal of Community Currency Research, 21. doi: 10.15133/j.ijccr.2017.008.
Gimenez, A. F. C., & Tamajon, L. G. (2019). An analysis of the process of adopting local digital currencies in support of sustainable development. Sustainability, 11(3). doi:10.3390/su11030849.
Gomez, G., & Helmsing, A. (2008). Selective spatial closure and local economic development: what do we learn from the Argentine local currency systems? World Development, 36(11). doi: 10.1016/j.worlddev.2007.11.015.
Gregory, L. (2009). Change takes time: exploring structural and developmental issues of time banking. International Journal of Community Currency Research, 13. doi: 10.15133/j.ijccr.2009.003.
Heritage (2020). Trade freedom index. Retrieved from https://www.heritage.org/ index/ranking (10.03.2020).
Ho, R. (2014). Handbook of univariate and multivariate data analysis with IBM SPSSS. London: CRC Press, Taylor and Francis Group. Second Edition.
Hofstede Rankings (2019). Long term orientation and individualism indexes. Retrieved from https://www.hofstede-insights.com/country-comparison/the-usa/ (12.02.2020).
Jaoude, J. A., & Saade, R. G. (2019). Blockchain applications- usage in different domains. IEEE, 7. doi:10.1109/access.2019.2902501.
Jonker, N. (2018). What drives bitcoin adoption by retailers. De Nederlandsche Bank Working Paper, 585. doi: 10.2139/ssrn.3134404.
Josavac, M. (2017). The bright and the dark side of virtual currencies recent development in regulatory framework. International Journal of Community Currency Research, 21(2). doi: 10.15133/j.ijccr.2017.005.
Kim, S. M., Lough, B., & Wu, C.-F. (2016). The conditions and strategies for success of local currency movements. Local Economy, 31(3). doi: 10.1177/026909 4216637332
Ključnikov, A., Civelek, M., Čech, P., & Kloudová, J. (2019). Entrepreneurial orientation of SMEs’ executives in the comparative perspective for Czechia and Turkey. Oeconomia Copernicana, 10(4). doi: 10.24136/oc.2019.035.
Koisova, E., Masarova, J., & Habanik, J. (2018). Regional differences in the labour market in Slovakia and the Czech Republic. Journal of Competitiveness, 10(2). doi: 10.7441/joc.2018.02.07.
Kreiser, P. M., Marino, L. D., Dickson, P., & Weaver, K. M. (2010). Cultural influences on eo: the impact of national culture on risk taking and proactiveness in SMEs. Entrepreneurship Theory & Practice, 34(5). doi: 10.1111/j.1540-6520.2010.00396.x.
Kwon, M. Lee, C., & Xiao, Y. (2017). Exploring the role of neighborhood walkability on community currency activities: a case study of the crooked river alliance of TimeBank. Landscape and Urban Planning, 167. doi: 10.1016/j.landu rbplan.2017.07.008.
Lee, S. H., Bai, B., & Murphy, K. (2012). The role demographics have on customer involvement in obtaining a hotel discount and implications for hotel revenue. Management Strategy. Journal of Hospitality Marketing & Management, 21(5). doi: 10.1080/19368623.2012.682622.
Lee, K., Lee, B., & Oh, W. (2015). Thumbs up, sales up? The contingent effect of Facebook likes on sales performance in social commerce. Journal of Management Information Systems, 32(4). doi: 10.1080/07421222.2015.1138372.
Majuri, Y. (2019). Overcoming economic stagnation in low-income communities with programmable money. Journal of Risk Finance, 20(5). doi: 10.1108/JRF-08-2019-0145.
Mauldin, R. L. (2015). Local currency for community development: policy barriers and support. Journal of Community Practice, 23(3-4). doi: 10.1080/10705422. 2015.1091420.
Mendoza-Tello, J. C., Mora, H., Pujol-López, F. A., & Lytras M. D. (2018). Social commerce as a driver to enhance trust and intention to use cryptocurrencies for electronic payments. IEEE, 6. doi: 10.1109/ACCESS.2018.2869359.
Miao, S., Heijman, W., Zhu, Q., & Lu, Q. (2015). Social capital influences farmer participation in collective irrigation management in Shaanxi Province, China. China Agricultural Economic Review, 7(3). doi: 10.1108/CAER-05-2014-0044.
Mishra, A., Gunasekar, S., & Gupta, D. (2016). Influence of product perception and discounts on the preference of online payment. In IEEE international conference on computational intelligence and computing research. doi: 10.1109/ICCIC.2016.7919691.
Miszczuk, M. (2018). Local currencies as an instrument for implementing the concept of sustainable development. Problems of Sustainable Development, 13(2).
Ng, T. W. H., & Feldman, D. C. (2009). Age, work experience, and the psychological contract. Journal of Organizational Behavior, 30(8). doi: 10.1002/job.599.
North, P. (2010). Local money – how to make it happen in your community. Transition books. Totnes, Devon: UIT Cambridge Ltd.
Paloniemi, S. (2006). Experience, competence and workplace learning. Journal of Workplace Learning, 18(7/8). doi: 10.1108/13665620610693006.
Park, J. K., Gunn, F., & Han, S. L. (2012). Multidimensional trust building in e-retailing: cross-cultural differences in trust formation and implications for perceived risk. Journal of Retailing and Consumer Services, 19. doi: 10.1016/j.jret conser.2012.03.003
Parino, F., Beiró, M. G., & Gauvin, L. (2018). Analysis of the Bitcoin blockchain: socio-economic factors behind the adoption. EPJ Data Science, 7(38). doi: 10.1140/epjds/s13688-018-0170-8.
Patel, H. K., Johnson, M. L., & Sansgiry, S. S. (2012). Consumers' intention to use generic-drug discount programmes. Journal of Pharmaceutical Health Services Research, 3(4). doi: 10.1111/j.1759-8893.2012.00103.x.
Pianese, F., Signorini, M., & Sarkar, S. (2018). Small transactions with sustainable incentives. In 9th IFIP international conference on new technologies, mobility and security (NTMS). doi: 10.1109/NTMS.2018.8328744.
Poyser, O. (2019). Exploring the dynamics of Bitcoin’s price: a Bayesian structural time series approach. Eurasian Economic Review, 9. doi: 10.1007/s40822-018-0108-2.
Presthus, W., & O’Malley, N.O. (2017). Motivations and barriers for end-user adoption of bitcoin as digital currency. Procedia Computer Science, 121. doi: 10.1016/j.procs.2017.11.013.
Richey, S. (2007). Manufacturing trust: community currencies and the creation of social capital. Political Behavior, 29. doi: 10.1007/s11109-007-9028-7.
Richey, S., & Ikeda, K. (2009). Institutional incentives and trust:marginalized groups and the creation of trust in local government. Social Science Quarterly, 90(4). doi: 10.1111/j.1540-6237.2009.00669.x.
Roussou, I., Stiakakis, E., & Sifaleras, A. (2019). An empirical study on the commercial adoption of digital currencies. Information Systems and e-Business Management, 17. doi: 10.1007/s10257-019-00426-7.
Ruddick, W. O., Richards, M., & Bendell, J. (2015). Complementary currencies for sustainable development in Kenya: the case of the Bangla-Pesa. International Journal of Community Currency Research, 19. doi: 10.15133/j.ijccr.2015.003.
Ryan-Collins, J. (2011). Building local resilience: the emergence of the UK transition currencies. International Journal of Community Currency Research, 15. doi: 10.15133/j.ijccr.2011.023.
Sas, C., & Khairuddin, I. E. (2017). Design for trust: an exploration of the challenges and opportunities of bitcoin users. In Proceedings of the 2017 CHI conference on human factors in computing systems, May. doi: 10.1145/3025453. 3025886.
Schuhy, S., & Shy, O. (2016). U.S. Consumers’ adoption and use of bitcoin and other virtual currencies. Retrieved from: https://www.banqueducanada.ca/wp-content/uploads/2015/12/us-consumers-adoption.pdf. (14.01.2020).
Sellers, K., Leider, J. P., Bogaert, K., Allen, J. D., & Castrucci, B. C. (2019). Making a living in governmental public health: variation in earnings by employee characteristics and work setting. Journal of Public Health Management and Practice, 25(2). doi: 10.1097/PHH.0000000000000935.
Seyfang, G. (2005). Community currencies and social inclusion: a critical evaluation. CSERGE Working Paper EDM, University of East Anglia, The Centre for Social and Economic Research on the Global Environment (CSERGE), 05-09. Retrieved from https://www.econstor.eu/bitstream/10419/80271/1/506603 431.pdf. (18.01.2020).
Seyfang, G., & Longhurst, N. (2013). Growing green money? Mapping community currencies for sustainable development. Ecological Economics, 86. doi: 10.101 6/j.ecolecon.2012.11.003.
Sgobbi, F., & Suleman, F. (2013). A methodological contribution to measuring skill (mis)match. Manchester School, 81(3). doi: 10.1111/j.1467-9957.2012. 02294.x.
Shahzad, F., Xiu, G., Wang, J., & Shahbaz, M. (2018). An empirical investigation on the adoption of cryptocurrencies among the people of mainland China. Technology in Society, 55. doi: 10.1016/j.techsoc.2018.05.006.
Smekalova L., Hajek O., Belas J., & Machacek J. (2014). Perception of small and medium entrepreneurship in the Czech Republic. Journal of Competitiveness, 6(4). doi: 10.7441/joc.2014.04.03
Sobeiecki, G. (2018). Sustainability of local complementary currencies: conclusions from an empirical study in Poland. International Journal of Community Currency Research, 22. doi: 10.15133/j.ijccr.2018.019.
Teo, A. C., Tan, G. W. H., Ooi, K. B., Hew, T. S., & Yew, K. T. (2015). The effects of convenience and speed in m-payment. Industrial Management & Data Systems, 115(2). doi: 10.1108/IMDS-08-2014-0231.
Tsanidis, C., Nerantzaki, D., Karavasilis, G., Vrana, V.x, & Paschaloudis, D. (2015). Greek consumers and the use of Bitcoin. Business & Management Review, 6(2).
Walton, A. J., & Johnston, K. A. (2018). Exploring perceptions of bitcoin adoption: The South African virtual community perspective. Interdisciplinary Journal of Information, Knowledge, and Management, 13. doi: 10.28945/4080.
Wheatley, G., Younie, C., Alajlan, H., & McFarlane, E. (2011). Calgary dollars: economic and social capital benefits. International Journal of Community Currency Research, 15(A). doi: 10.15133/j.ijccr.2011.009.
Wulandari, D., Narmaditya, B. S., Parewangi, A. M. A., Sakarji, S. R. B., Purnamasari, V., & Qurrata, V. A. (2018). Factors affecting the adoptıon of electronic money. International Journal of Civil Engineering and Technology (IJCIET), 9(7).
Zeffane, R. (2018). Do age, work experience and gender affect individuals’ propensity to trust others? An exploratory study in the United Arab Emirate. International Journal of Sociology and Social Policy, 38(3-4). doi: 10.1108/IJS SP-07-2017-0093.