Mapping influential factors in Bitcoin adoption: ISM and MICMAC study

Journal title FINANCIAL REPORTING
Author/s Naina Goyal, Nidhi Walia, Poonam Bandha
Publishing Year 2025 Issue 2025/1
Language English Pages 30 P. 177-206 File size 465 KB
DOI 10.3280/fr202518407
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Purpose: The purpose of this study is to explore the factors that influence the acceptance of Bitcoin as investment among individuals and to construct a framework with the help of Interpretive Structural Modelling (ISM). Methodology: The methodology is divided into three parts, firstly the determination of factors, consultation with experts, and the subsequent creation of a hierarchical model that is further classified by establishing the interconnectedness between these elements applying Interpretive Structural Modeling (ISM). This is then validated by Matriced Impact Croises Multiplication Appliquee a un classement (MICMAC) analysis. Findings: The MICMAC analysis identifies Gender (G), Financial Knowledge (FK), Policy Support(PS), and Facilitating Conditions (FC) as key driving factor with significant influence. Conversely, Performance Expectancy, Personal Innovativeness, Perceived Trust, Perceived Value, and Attitude emerge as the top-level factors expressing the highest dependence power. The MICMAC analysis reveals that Gender, Financial Knowledge, Policy Support and Facilitating Conditions are driving factors, Personal Innovativeness emerged as dependent factor, while User Friendliness, Perceived Trust, Attitude etc. are among linkage factors highlighting their interconnectedness roles and influence within their framework. Originality/Value: This is the first study to find out the factors influencing the adoption of Bitcoin. The model is developed using ISM and MICMAC which contributes to the originality.

Keywords: distributed ledger technology, bitcoin, interpretive structural modeling, MICMAC analysis

Jel codes: G11

  1. Abraham, J., Sutiksno, D. U., Kurniasih, N., & Warokka, A. (2019). Acceptance and Penetration of Bitcoin?: The Role of Psychological Distance and National Culture. 45. DOI: 10.1177/2158244019865813
  2. Acharya, V. V., & Pedersen, L. H. (2004). Asset pricing wuth liquidity risk. National Bureau of Economic Reserarch, Working paper (Septmeber 2004). -- http://www.nber.org/papers/w10814.
  3. Al, T. (2024). Linking survey and social media data. Journal of Survey Statistics and Methodology, May, 1-12.
  4. Alaklabi, S., & Kang, K. (2024). Perceptions towards Cryptocurrency Adoption?: A case of Saudi Arabian Citizens. 2021(2021). DOI: 10.5171/2021.110411
  5. Ali, G., Id, A., Tiew, L. Y., Tang, J., Goh, Y., & Id, R. T. (2021). The adoption of cryptocurrency as a disruptive force?: Deep learning-based dual stage structural equation modelling and artificial neural network analysis, 1-26.
  6. Amihud, Y., & Mendelson, H. (1986a). Asset pricing and the bid-ask spread. Journal of Financial Economics, 17(2), 223-249. DOI: 10.1016/0304-405X(86)90065-6
  7. Amihud, Y., & Mendelson, H. (1986b). Liquidity and Stock Returns. Financial Analysts Journal, 42(3), 43-48.
  8. Anser, M. K., Zaigham, H., Rasheed, M. I., & Pitafi, H. (2020). Social media usage and individuals’ intentions toward adopting Bitcoin?: The role of the theory of planned behavior and perceived risk. September 2022.
  9. Aren, S., & Nayman Hamamci, H. (2020). Relationship between risk aversion, risky investment intention, investment choices: Impact of personality traits and emotion. Kybernetes, 49(11), 2651-2682. DOI: 10.1108/K-07-2019-0455
  10. Arias-Oliva, M., Pelegrín-Borondo, J., & Matías-Clavero, G. (2019). Variables influencing cryptocurrency use: A technology acceptance model in Spain. Frontiers in Psychology, 10(MAR), 1-13.
  11. Aw, E. C., & Chuah, S. H. (2023). Cryptocurrencies have arrived , but are we ready?? Unveiling cryptocurrency adoption recipes through an SEM-fsQCA approach approach. DOI: 10.1108/BL-01-2022-0010
  12. Bakri, M. H., Azah, N., Aziz, A., & Razak, M. I. (2023). General Management Access to Success Acceptance Of Ddkoin Blockchain Using Utaut Model?: A Customer Perspective Approach Acceptance Of Ddkoin Blockchain Using Utaut Model?: A Customer Perspective Approach. December 2022. DOI: 10.47750/QAS/24.192.13
  13. Barbier, E. (2024). State-of-global-crytocurrency-ownership-2024-triplea.pdf (pp. 1-36). -- www.triple-a.io.
  14. Baur, D. G., & Hoang, L. T. (2021). A crypto safe haven against Bitcoin. Finance Research Letters, 38(August 2019).
  15. Bekkers, N., & Doeswijk, R. Q. (2009). Strategic Asset Allocation?: Determining the Optimal Portfolio with Ten Asset Classes.
  16. Beretta, E. (2023). Cryptocurrencies, Evolution of Means of Payments and Validity of Monetary Principles. Credit and Capital Markets, 54(3), 469-498.
  17. Bhilawadikar, V. S., & Garg, E. (2020). Investment attitude of millennials towards cryptocurrencies. Social Business, 10(4), 383-410.
  18. Bhimani, A., Hausken, K., & Arif, S. (2022). Technological Forecasting & Social Change Do national development factors affect cryptocurrency adoption??. Technological Forecasting & Social Change, 181(August 2021), 121739.
  19. Bouri, E., Molnár, P., Azzi, G., Roubaud, D., & Hagfors, L. I. (2017). On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?. Finance Research Letters, 20, 192-198.
  20. Brière, M., Oosterlinck, K., & Szafarz, A. (2015). Virtual currency, tangible return: Portfolio diversification with bitcoin. Journal of Asset Management, 16(6), 365-373.
  21. Bux, H., Zhang, Z., & Ahmad, N. (2020). Promoting sustainability through corporate social responsibility implementation in the manufacturing industry: An empirical analysis of barriers using the ISM-MICMAC approach. Corporate Social Responsibility and Environmental Management, 27(4), 1729-1748.
  22. Chaim, P., & Laurini, M. P. (2018). Volatility and return jumps in bitcoin. Economics Letters, 173(October), 158-163.
  23. Corbet, S., Larkin, C., Lucey, B. M., Meegan, A., & Yarovaya, L. (2020). The impact of macroeconomic news on Bitcoin returns. European Journal of Finance, 26(14), 1396-1416. DOI: 10.1080/1351847X.2020.1737168
  24. Coulter, K. A. (2022). The impact of news media on Bitcoin prices: Modelling data driven discourses in the crypto-economy with natural language processing. Royal Society Open Science, 9(4).
  25. Dasman, S. (2021). Analysis of Return and Risk of Cryptocurrency Bitcoin Asset as Investment Instrument. Accounting and Finance Innovations.
  26. Deci, E. L., & Ryan, R. M. (1985). The general causality orientations scale: Self-determination in personality. Journal of Research in Personality, 19(2), 109-134. DOI: 10.1016/0092-6566(85)90023-6
  27. Del, R., & Lopez, G. (2023). Analysis of the Purchase Intension of Bitcoin by Applying the Technology Acceptance Model. 12(1), 21-39.
  28. Diéguez, A. I., Martín, F. V., & Camacho, M. A. (2023). Predicting Fintech Innovation Adoption?: the Mediator Role of Social Norms and Attitudes. Financial Innovation.
  29. Dube, A. S., & Gawande, R. R. (2016a). ISM-fuzzy MICMAC approach for analysis of GSCM enablers. International Journal of Logistics Systems and Management, 24(4), 426-451. DOI: 10.1504/IJLSM.2016.077281
  30. Dube, A. S., & Gawande, R. S. (2016b). Analysis of green supply chain barriers using integrated ISM-fuzzy MICMAC approach. Benchmarking, 23(6), 1558-1578. DOI: 10.1108/BIJ-06-2015-0057
  31. Fang, F., Ventre, C., Basios, M., Kanthan, L., Martinez-Rego, D., Wu, F., & Li, L. (2022). Cryptocurrency trading: a comprehensive survey. Financial Innovation, 8(1).
  32. Firmansyah, A., & Agung Martono, B. (2023). The Impact of Digital Marketing, Electronic Word of Mouth (E-Wom) and Personal Selling on Purchasing Decisions and the Influence of Competitors’ Products as Moderating Variables. Interdiciplinary Journal and Hummanity (INJURITY), 2(7), 632-641.
  33. Forman, E., & Peniwati, K. (1998). Aggregating individual judgments and priorities with the Analytic Hierarchy Process. European Journal of Operational Research, 108(1), 165-169. DOI: 10.1016/S0377-2217(97)00244-0
  34. Frederiks, A. J., Costa, S., Hulst, B., Groen, A. J., Costa, S., Hulst, B., & Groen, A. J. (2022). The early bird catches the worm?: The role of regulatory uncertainty in early adoption of blockchain’ s cryptocurrency by fintech ventures. Journal of Small Business Management, 00(00), 1-34. DOI: 10.1080/00472778.2022.2089355
  35. Godet, M. (1986). Introduction to la prospective. Futures, 18(2), 134-157. DOI: 10.1016/0016-3287(86)90094-7
  36. Grable, J. E. (2000). Financial Risk Tolerance and Additional Factors that Affect Risk Taking in Everyday Money Matters. Journal of Business and Psychology, 14(4), 625-630. DOI: 10.1023/A:1022994314982
  37. Guo, H., & Yu, X. (2022). A survey on blockchain technology and its security. Blockchain: Research and Applications, 3(2), 100067.
  38. Gupta, S., Dhingra, S., & Aggarwal, R. (2023). What explains the sudden surge in cryptocurrency?? A consumption value theory perspective. DOI: 10.1108/DPRG-05-2023-0065
  39. Gupta, S., Gupta, S., Mathew, M., & Sama, H. R. (2020). Prioritizing intentions behind investment in cryptocurrency: a fuzzy analytical framework. Journal of Economic Studies. DOI: 10.1108/JES-06-2020-0285
  40. Henriques, I., & Sadorsky, P. (2018). Can Bitcoin Replace Gold in an Investment Portfolio? Journal of Risk and Financial Management, 11(3), 48.
  41. Hong, K. H. (2017). Bitcoin as an alternative investment vehicle. Information Technology and Management, 18(4), 265-275.
  42. Hwang, M., & Fong Lee Cheng, J. (2011). Definition of “investment” ? A voice from the eye of the storm. Asian Journal of International Law, 1(1). DOI: 10.1017/S2044251310000378
  43. Jegerson, D., Mertzanis, C., & Khan, M. (2023). Investigating the unexpected determinants of cryptocurrency adoption in the UAE. October. DOI: 10.1108/IJOEM-06-2023-0924
  44. Kaur, G., Singh, M., & Gupta, S. (2023). Analysis of key factors influencing individual financial well-being using ISM and MICMAC approach. Quality and Quantity, 57(2), 1533-1559.
  45. Koroma, J., Rongting, Z., Muhideen, S., Yinka, T., Simeon, T., James, S., & Abdulai, I. (2022). Technology in Society Assessing citizens ’ behavior towards blockchain cryptocurrency adoption in the Mano River Union States: Mediation, moderation role of trust and ethical issues. Technology in Society, 68, 101885.
  46. Koutmos, D. (2020). Market risk and Bitcoin returns. Annals of Operations Research, 294(1-2), 453-477.
  47. Kumari, V., Bala, P. K., & Chakraborty, S. (2023). An Empirical Study of User Adoption of Cryptocurrency Using Blockchain Technology?: Analysing Role of Success Factors like Technology Awareness and Financial Literacy, 1580-1600.
  48. Lee, D. K. C., Guo, L., & Wang, Y. (2018). Cryptocurrency: A new investment opportunity? Journal of Alternative Investments, 20(3), 16-40.
  49. Lee, W., Hong, S., & Min, T. (2018). Bitcoin Distribution in the Age of Digital Transformation?: Dual-path Approach*. Journal of Distribution Science, 12(December 2017), 47-56.
  50. Li, C., Khaliq, N., Chinove, L., & Ola, J. (2023). Cryptocurrency Acceptance Model to Analyze Consumers ’ Usage Intention?: Evidence From Pakistan. March, 1-19. DOI: 10.1177/21582440231156360
  51. Liu, Y., & Tsyvinski, A. (2021). Risks and returns of cryptocurrency. Review of Financial Studies, 34(6), 2689-2727.
  52. Louisa Lam and Ching Y. Suen. (1997). Application of Majority Voting to Pattern Recognition: An Analysis of Its Behavior and Performance. IEEE Transactions on Systems, Man and Cybernetics, 27(5), 553-568. DOI: 9780784412299.0055.
  53. Makoza, F. (2022). Analysing the Cryptocurrency Regulatory Environment of Malawi Using Pathetic Dot Theory. International Journal of Information Systems and Social Change, 13(1-January). DOI: 10.4018/IJISSC.303598
  54. Mannan, B., Khurana, S., & Haleem, A. (2016). Modeling of critical factors for integrating sustainability with innovation for Indian small- and medium-scale manufacturing enterprises: An ISM and MICMAC approach. Cogent Business and Management, 3(1). DOI: 10.1080/23311975.2016.1140318
  55. Marikyan, D., Papagiannidis, S., Rana, O. F., & Ranjan, R. (2022). Computers in Human Behavior Blockchain adoption?: A study of cognitive factors underpinning decision making ?. Computers in Human Behavior, 131(January), 107207.
  56. Marjohan, M., Anggraini, A., Ketut, S., & Dewi, S. (2023). Opportunity Set , Liquidity , Stock Return , Inflation As A Moderator , Investment Risk , Investment. 27(02), 379-400.
  57. Mazambani, L., & Mutambara, E. (2019). cryptocurrency Predicting FinTech innovation adoption in South Africa?: the case of cryptocurrency. October. DOI: 10.1108/AJEMS-04-2019-0152
  58. Mendoza-Tello, J. C., Mora, H., Pujol-López, F. A., & Lytras, M. D. (2019). Disruptive innovation of cryptocurrencies in consumer acceptance and trust. Information Systems and E-Business Management, 17(2-4), 195-222.
  59. Mishnick, N., & Wise, D. (2024). Social Media Engagement: An Analysis of the Impact of Social Media Campaigns on Facebook, Instagram, and LinkedIn. International Journal of Technology in Education, 7(3), 535-549.
  60. Namahoot, K. S. (2022). Integration of TAM Model of Consumers ’ Intention to Adopt Cryptocurrency Platform in Thailand?: The Mediating Role of Attitude and Perceived Risk.
  61. Niranjanamurthy, M., Nithya, B. N., & Jagannatha, S. (2019). Analysis of Blockchain technology: pros, cons and SWOT. Cluster Computing, 22(s6), 14743-14757.
  62. Pastor, L., & Stambaugh, R. F. (2001). Pastor, Stambaugh – NBER Working Paper – 2003 – Liquidity risk and expected stock returns. Journal of Political Economy, 111(3), 642-685.
  63. Pham, C. T., & Thi Nguyet, T. T. (2023). Determinants of blockchain adoption in news media platforms: A perspective from the Vietnamese press industry. Heliyon, 9(1), e12747.
  64. Regulation, D. P., Kala, D., Studies, E., & Chaubey, D. S. (2023). Cryptocurrency adoption and continuance intention among Indians?: moderating role of perceived government control. March, 2022-2023. DOI: 10.1108/DPRG-09-2022-0108
  65. Scholarworks, S., Balutel, D., Henry, C., Vásquez, J., & Voia, M. (2022). Bitcoin Adoption and Beliefs in Canada.
  66. Schön, C. A. and D. A. (1997). Organizational Learning: A Theory of Action Perspective. Centro de Investigaciones Sociologicas, 77, 345-348. -- https://www.jstor.org/stable/40183951.
  67. Smutny, Z., Sulc, Z., & Lansky, J. (2021). Motivations , Barriers and Risk-Taking When Investing in Cryptocurrencies, 1-22.
  68. Sobhanifard, Y., & Sadatfarizani, S. (2019). Consumer-based modeling and ranking of the consumption factors of cryptocurrencies. Physica A, 528, 121263.
  69. Sonar, H., Khanzode, V., & Akarte, M. (2020). Investigating additive manufacturing implementation factors using integrated ISM-MICMAC approach. Rapid Prototyping Journal, 26(10), 1837-1851. DOI: 10.1108/RPJ-02-2020-0038
  70. Sukumaran, S., & Bee, T. S. (2022). Cryptocurrency as an Investment?: The Malaysian Context. April.
  71. Sukumaran, S., Bee, T. S., & Wasiuzzaman, S. (2022). Investment in cryptocurrencies?: a study of its adoption among Malaysian investors. Journal of Decision Systems, 00(00), 1-29. DOI: 10.1080/12460125.2022.2123086
  72. Sung, J., & Hanna, S. (1996). Factors related to risk tolerance. Journal of Financial Counseling and Planning, 7, 11-19.
  73. Urquhart, A., & Zhang, H. (2019). Is Bitcoin a hedge or safe haven for currencies? An intraday analysis. International Review of Financial Analysis, 63, 49-57.
  74. Vo, X. V., & Bui, H. T. (2016). Liquidity, liquidity risk and stock returns: Evidence from Vietnam. International Journal of Monetary Economics and Finance, 9(1), 67-89. DOI: 10.1504/IJMEF.2016.074586
  75. Warfield, J. N. (1979). Development of an Interpretive Structural Model and Strategies for Implementation Based on a Descriptive and Prescriptive Analysis of Resources for Environmental Education/Studies. A Sourcebook for the Design of a Regional Environmental Learning System, IV(Conducting Collective Inquiry). -- http://eric.ed.gov/?id=ED187570%5Cnhttp://files.eric.ed.gov/fulltext/ED187570.pdf.
  76. Zohuri, B., Nguyen, H. T., & Moghaddam, M. (2022). What is the Cryptocurrency? Is it a Threat to Our National Security, Domestically and Globally?. International Journal of Theoretical & Computational Physics, 3(1), 1-14. DOI: 10.47485/2767-3901.1020

Naina Goyal, Nidhi Walia, Poonam Bandha, Mapping influential factors in Bitcoin adoption: ISM and MICMAC study in "FINANCIAL REPORTING" 1/2025, pp 177-206, DOI: 10.3280/fr202518407