WHAT DRIVES CRYPTOCURRENCY ACCEPTANCE EVIDENCE FROM PAKISTAN

http://dx.doi.org/10.31703/gssr.2023(VIII-I).07      10.31703/gssr.2023(VIII-I).07      Published : Mar 1
Authored by : Khurram Ashfaq , Hafiz Tassawer Nadeem , Farhan Iftikhar

07 Pages : 79-86

References

  • Bhattacherjee, A. (2002). Individual Trust in Online Firms: Scale Development and Initial Test. Journal of Management Information Systems, 19(1), 211–241. http://www.jstor.org/stable/40398572
  • 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. https://doi.org/10.3389/fpsyg.2019.00475
  • Artiono, P., & Ariyanti, M. (2016). The Impact of Website Quality on Information Quality, Value and Loyalty Intentions on E-commerce Website. The 7th Smart Collaboration for Business in Technology and Information Industries 2016, 99–108.
  • Awad, N. F., & Ragowsky, A. (2008). Establishing trust in electronic commerce through online word of mouth: An examination across genders. Journal of Management Information Systems, 24(4), 101–121 https://doi.org/10.2753/MIS0742-1222240404
  • Ayedh, A., Echchabi, A., Battour, M., & Omar, M. (2020). Malaysian Muslim investors’ behaviour towards the blockchain-based Bitcoin cryptocurrency market. Journal of Islamic Marketing, 12(4), 690–704. https://doi.org/10.1108/JIMA-04-2019-0081
  • Babin, B. J., Hardesty, D. M., & Suter, T. A. (2003). Color and shopping intentions: The intervening effect of price fairness and perceived affect. Journal of Business Research, 56(7), 541–551. https://doi.org/10.1016/S0148-2963(01)00246-6
  • Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–147. https://doi.org/10.1037/0003-066X.37.2.122.
  • Bell, H., & Tang, N. K. h. (1998). The effectiveness of commercial Internet Web sites: a user’s perspective. Internet Research, 8(3), 219–228. https://doi.org/10.1108/1066224981021776
  • Boar, C., & Wehrli, A. (2021). Central bank digital currency. 114.
  • Bu, O. B., & Go, A. S. (2008). Perceived trustworthiness of online shops. Journal of Consumer Behaviour, 50(October), 35–50. https://doi.org/10.1002/cb
  • Bucko, J., Palová, D., & Vejačka, M. (2015). Security and Trust in Cryptocurrencies. Central European Conference in Finance and Economics (Cefe2015). https://www.researchgate.net/publication/317955860_Security_and_Trust_in_Cryptocurrencies
  • Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28–34 https://doi.org/10.1016/j.econlet.2018.01.004
  • Derbentsev, V., Matviychuk, A., & Soloviev, V. N. (2020). Forecasting of Cryptocurrency Prices Using Machine Learning. Advanced Studies of Financial Technologies and Cryptocurrency Markets, 211–231 https://doi.org/10.1007/978-981-15-4498-9_12
  • Dowling, G. R. (1986). Perceived risk: The concept and its measurement. Psychology and Marketing, 3(3), 193–210. https://doi.org/10.1002/mar.4220030307
  • Eikmanns, B. C., & Sandner, P. G. (2015). Bitcoin: The Next Revolution in International Payment Processing? An Empirical Analysis of Potential Use Cases. SSRN Electronic Journal, https://doi.org/10.2139/ssrn.2619759
  • Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical Testing of a Model of Online Store Atmospherics and Shopper Responses. Psychology and Marketing, 20(2), 139–150. https://doi.org/10.1002/mar.10064
  • Fan, Y.-W., Miao, Y.-F., Fang, Y.-H., & Lin, R.- Y. (2013). Establishing the Adoption of Electronic Word-of-Mouth through Consumers’ Perceived Credibility. International Business Research, 6(3), 58–65. https://doi.org/10.5539/ibr.v6n3p58
  • Grover, P., Kar, A. K., Janssen, M., & Ilavarasan, P. V. (2019). Perceived usefulness, ease of use, and user acceptance of blockchain technology for digital transactions–insights from user- generated content on Twitter. Enterprise Information Systems, 13(6), 771–800. https://doi.org/10.1080/17517575.2019.1599446
  • Ha, Y., & Im, H. (2012). Role of web site design quality in satisfaction and word of mouth generation. Journal of Service Management, 23(1), 79–96. https://doi.org/10.1108/09564231211208989
  • Heffernan, C. J. (1988). Social foundations of thought and action: A social cognitive theory, Albert Bandura Englewood Cliffs, New Jersey: Prentice Hall, 1986, xiii + 617 pp. Hardback. US$39.50. Behaviour Change, 5(1), 37–38. https://doi.org/10.1017/s0813483900008238
  • Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of- mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38–52. https://doi.org/10.1002/dir.10073
  • Hu, P. J. H., Clark, T. H. K., & Ma, W. W. (2003). Examining technology acceptance by school teachers: A longitudinal study. Information and Management, 41(2), 227–241. https://doi.org/10.1016/S0378-7206(03)00050-8
  • Hussain, M., Mollik, A. T., Johns, R., & Rahman, M. S. (2019). M-payment adoption for bottom of pyramid segment: an empirical investigation. International Journal of Bank Marketing, 37(1), 362–381. https://doi.org/10.1108/IJBM-01-2018-0013
  • Ituma, A. I., Riaz, A., & Ali, M. H. (2021). Examination of Digital and Non-Digital Factors on Perception of Mobile Banking Customers: A Case of Developing Economy. Gomal University Journal of Research, 37(4), 388-399.
  • Jeong, H. J., & Koo, D. M. (2015). Combined effects of valence and attributes of e-WOMon consumer judgement for message and product The moderating effect of brand community type. Internet Research, 25(1), 2– 29. https://doi.org/10.1108/IntR-09-2013-0199
  • Johnson, K. L., & Misic, M. M. (1999). Benchmarking: a tool for Web site evaluation and improvement. Internet Research, 9(5), 383–392 https://doi.org/10.1108/10662249910297787
  • Khan, I. U., Hameed, Z., & Khan, S. U. (2017). Understanding online banking adoption in a developing country: UTAUT2 with cultural moderators. Journal of Global Information Management, 25(1), 43–65 https://doi.org/10.4018/JGIM.2017010103
  • Khatimah, H., & Halim, F. (2014). Consumers’ intention to use e-money in Indonesia based on Unified Theory of Acceptance and Use of Technology (UTAUT). American-Eurasian Journal of Sustainable Agriculture, 8(12), 34– 40
  • Liu, C., & Arnett, K. P. (2000). Exploring the factors associated with Web site success in the context of electronic commerce. 38.
  • Lu, Y., Yang, S., Chau, P. Y. K., & Cao, Y. (2011). Information & Management Dynamics between the trust transfer process and intention to use mobile payment services : A cross-environment perspective. Information & Management, 48(8), 393–403. https://doi.org/10.1016/j.im.2011.09.006
  • Marella, V., Upreti, B., Merikivi, J., & Tuunainen, V. K. (2020). Understanding the creation of trust in cryptocurrencies: the case of Bitcoin. Electronic Markets, 30(2), 259–271. https://doi.org/10.1007/s12525-019-00392-5
  • McWilliam, G. (2000). Building Stronger Brands through Online Communities. Sloan Management Review, 41(3), 43–54. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=3060852&site=ehost-live
  • Namahoot, K. S., & Laohavichien, T. (2018). Assessing the intentions to use internet banking: The role of perceived risk and trust as mediating factors. International Journal ofBank Marketing, 36(2), 256–276 https://doi.org/10.1108/IJBM-11-2016-0159
  • Nazifi, A., Murdy, S., Marder, B., Gäthke, J., & Shabani, B. (2021). A Bit(coin) of happiness after a failure: An empirical examination of the effectiveness of cryptocurrencies as an innovative recovery tool. Journal of Business Research, 124(January), 494–505 https://doi.org/10.1016/j.jbusres.2020.11.012
  • Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134. https://doi.org/10.1080/10864415.2003.11044275
  • Ramayah, T. (2006). Interface Characteristics, Perceived Ease of Use and Intention to Use an Online Library in Malaysia. Information Development, 22(2), 123–133. https://doi.org/10.1177/0266666906065575
  • Richard L. Oliver. (1999). Whence Consumer Loyalty? Journal of Marketing, 63(Special Issue 1999).
  • San Martín, H., & Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341–350. https://doi.org/10.1016/j.tourman.2011.04.003
  • Teo, T. (2010). Examining the influence of subjective norm and facilitating conditions on the intention to use technology among pre- service teachers: A structural equation modeling of an extended technology acceptance model. Asia Pacific EducationReview, 11(2), 253–262 https://doi.org/10.1007/s12564-009-9066-4
  • Trimborn, S., Li, M., & Härdle, W. K. (2020). Investing with Cryptocurrencies - A Liquidity Constrained Investment Approach. Journal of Financial Econometrics, 18(2), 280–306. https://doi.org/10.1093/jjfinec/nbz016
  • Tsiotsou, R. (2006). The role of perceived product quality and overall satisfaction on purchase intentions. International Journal of Consumer Studies, 30(2), 207–217 https://doi.org/10.1111/j.1470-6431.2005.00477.x
  • Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451–481 https://doi.org/10.1111/j.1540-5915.1996.tb00860.x
  • Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008). Predicting different conceptualizations of system USE: The competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS Quarterly: Management Information Systems, 32(3), 483–502. https://doi.org/10.2307/25148853
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478 https://doi.org/10.2307/30036540
  • Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Venkatesh_Thong_Xu_MISQ_forthcoming (GENDER AGE EXPERIENCE). MIS Quarterly, 36(1), 157–178.
  • Bhattacherjee, A. (2002). Individual Trust in Online Firms: Scale Development and Initial Test. Journal of Management Information Systems, 19(1), 211–241. http://www.jstor.org/stable/40398572
  • 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. https://doi.org/10.3389/fpsyg.2019.00475
  • Artiono, P., & Ariyanti, M. (2016). The Impact of Website Quality on Information Quality, Value and Loyalty Intentions on E-commerce Website. The 7th Smart Collaboration for Business in Technology and Information Industries 2016, 99–108.
  • Awad, N. F., & Ragowsky, A. (2008). Establishing trust in electronic commerce through online word of mouth: An examination across genders. Journal of Management Information Systems, 24(4), 101–121 https://doi.org/10.2753/MIS0742-1222240404
  • Ayedh, A., Echchabi, A., Battour, M., & Omar, M. (2020). Malaysian Muslim investors’ behaviour towards the blockchain-based Bitcoin cryptocurrency market. Journal of Islamic Marketing, 12(4), 690–704. https://doi.org/10.1108/JIMA-04-2019-0081
  • Babin, B. J., Hardesty, D. M., & Suter, T. A. (2003). Color and shopping intentions: The intervening effect of price fairness and perceived affect. Journal of Business Research, 56(7), 541–551. https://doi.org/10.1016/S0148-2963(01)00246-6
  • Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–147. https://doi.org/10.1037/0003-066X.37.2.122.
  • Bell, H., & Tang, N. K. h. (1998). The effectiveness of commercial Internet Web sites: a user’s perspective. Internet Research, 8(3), 219–228. https://doi.org/10.1108/1066224981021776
  • Boar, C., & Wehrli, A. (2021). Central bank digital currency. 114.
  • Bu, O. B., & Go, A. S. (2008). Perceived trustworthiness of online shops. Journal of Consumer Behaviour, 50(October), 35–50. https://doi.org/10.1002/cb
  • Bucko, J., Palová, D., & Vejačka, M. (2015). Security and Trust in Cryptocurrencies. Central European Conference in Finance and Economics (Cefe2015). https://www.researchgate.net/publication/317955860_Security_and_Trust_in_Cryptocurrencies
  • Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28–34 https://doi.org/10.1016/j.econlet.2018.01.004
  • Derbentsev, V., Matviychuk, A., & Soloviev, V. N. (2020). Forecasting of Cryptocurrency Prices Using Machine Learning. Advanced Studies of Financial Technologies and Cryptocurrency Markets, 211–231 https://doi.org/10.1007/978-981-15-4498-9_12
  • Dowling, G. R. (1986). Perceived risk: The concept and its measurement. Psychology and Marketing, 3(3), 193–210. https://doi.org/10.1002/mar.4220030307
  • Eikmanns, B. C., & Sandner, P. G. (2015). Bitcoin: The Next Revolution in International Payment Processing? An Empirical Analysis of Potential Use Cases. SSRN Electronic Journal, https://doi.org/10.2139/ssrn.2619759
  • Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical Testing of a Model of Online Store Atmospherics and Shopper Responses. Psychology and Marketing, 20(2), 139–150. https://doi.org/10.1002/mar.10064
  • Fan, Y.-W., Miao, Y.-F., Fang, Y.-H., & Lin, R.- Y. (2013). Establishing the Adoption of Electronic Word-of-Mouth through Consumers’ Perceived Credibility. International Business Research, 6(3), 58–65. https://doi.org/10.5539/ibr.v6n3p58
  • Grover, P., Kar, A. K., Janssen, M., & Ilavarasan, P. V. (2019). Perceived usefulness, ease of use, and user acceptance of blockchain technology for digital transactions–insights from user- generated content on Twitter. Enterprise Information Systems, 13(6), 771–800. https://doi.org/10.1080/17517575.2019.1599446
  • Ha, Y., & Im, H. (2012). Role of web site design quality in satisfaction and word of mouth generation. Journal of Service Management, 23(1), 79–96. https://doi.org/10.1108/09564231211208989
  • Heffernan, C. J. (1988). Social foundations of thought and action: A social cognitive theory, Albert Bandura Englewood Cliffs, New Jersey: Prentice Hall, 1986, xiii + 617 pp. Hardback. US$39.50. Behaviour Change, 5(1), 37–38. https://doi.org/10.1017/s0813483900008238
  • Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of- mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38–52. https://doi.org/10.1002/dir.10073
  • Hu, P. J. H., Clark, T. H. K., & Ma, W. W. (2003). Examining technology acceptance by school teachers: A longitudinal study. Information and Management, 41(2), 227–241. https://doi.org/10.1016/S0378-7206(03)00050-8
  • Hussain, M., Mollik, A. T., Johns, R., & Rahman, M. S. (2019). M-payment adoption for bottom of pyramid segment: an empirical investigation. International Journal of Bank Marketing, 37(1), 362–381. https://doi.org/10.1108/IJBM-01-2018-0013
  • Ituma, A. I., Riaz, A., & Ali, M. H. (2021). Examination of Digital and Non-Digital Factors on Perception of Mobile Banking Customers: A Case of Developing Economy. Gomal University Journal of Research, 37(4), 388-399.
  • Jeong, H. J., & Koo, D. M. (2015). Combined effects of valence and attributes of e-WOMon consumer judgement for message and product The moderating effect of brand community type. Internet Research, 25(1), 2– 29. https://doi.org/10.1108/IntR-09-2013-0199
  • Johnson, K. L., & Misic, M. M. (1999). Benchmarking: a tool for Web site evaluation and improvement. Internet Research, 9(5), 383–392 https://doi.org/10.1108/10662249910297787
  • Khan, I. U., Hameed, Z., & Khan, S. U. (2017). Understanding online banking adoption in a developing country: UTAUT2 with cultural moderators. Journal of Global Information Management, 25(1), 43–65 https://doi.org/10.4018/JGIM.2017010103
  • Khatimah, H., & Halim, F. (2014). Consumers’ intention to use e-money in Indonesia based on Unified Theory of Acceptance and Use of Technology (UTAUT). American-Eurasian Journal of Sustainable Agriculture, 8(12), 34– 40
  • Liu, C., & Arnett, K. P. (2000). Exploring the factors associated with Web site success in the context of electronic commerce. 38.
  • Lu, Y., Yang, S., Chau, P. Y. K., & Cao, Y. (2011). Information & Management Dynamics between the trust transfer process and intention to use mobile payment services : A cross-environment perspective. Information & Management, 48(8), 393–403. https://doi.org/10.1016/j.im.2011.09.006
  • Marella, V., Upreti, B., Merikivi, J., & Tuunainen, V. K. (2020). Understanding the creation of trust in cryptocurrencies: the case of Bitcoin. Electronic Markets, 30(2), 259–271. https://doi.org/10.1007/s12525-019-00392-5
  • McWilliam, G. (2000). Building Stronger Brands through Online Communities. Sloan Management Review, 41(3), 43–54. http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=3060852&site=ehost-live
  • Namahoot, K. S., & Laohavichien, T. (2018). Assessing the intentions to use internet banking: The role of perceived risk and trust as mediating factors. International Journal ofBank Marketing, 36(2), 256–276 https://doi.org/10.1108/IJBM-11-2016-0159
  • Nazifi, A., Murdy, S., Marder, B., Gäthke, J., & Shabani, B. (2021). A Bit(coin) of happiness after a failure: An empirical examination of the effectiveness of cryptocurrencies as an innovative recovery tool. Journal of Business Research, 124(January), 494–505 https://doi.org/10.1016/j.jbusres.2020.11.012
  • Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134. https://doi.org/10.1080/10864415.2003.11044275
  • Ramayah, T. (2006). Interface Characteristics, Perceived Ease of Use and Intention to Use an Online Library in Malaysia. Information Development, 22(2), 123–133. https://doi.org/10.1177/0266666906065575
  • Richard L. Oliver. (1999). Whence Consumer Loyalty? Journal of Marketing, 63(Special Issue 1999).
  • San Martín, H., & Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341–350. https://doi.org/10.1016/j.tourman.2011.04.003
  • Teo, T. (2010). Examining the influence of subjective norm and facilitating conditions on the intention to use technology among pre- service teachers: A structural equation modeling of an extended technology acceptance model. Asia Pacific EducationReview, 11(2), 253–262 https://doi.org/10.1007/s12564-009-9066-4
  • Trimborn, S., Li, M., & Härdle, W. K. (2020). Investing with Cryptocurrencies - A Liquidity Constrained Investment Approach. Journal of Financial Econometrics, 18(2), 280–306. https://doi.org/10.1093/jjfinec/nbz016
  • Tsiotsou, R. (2006). The role of perceived product quality and overall satisfaction on purchase intentions. International Journal of Consumer Studies, 30(2), 207–217 https://doi.org/10.1111/j.1470-6431.2005.00477.x
  • Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451–481 https://doi.org/10.1111/j.1540-5915.1996.tb00860.x
  • Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008). Predicting different conceptualizations of system USE: The competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS Quarterly: Management Information Systems, 32(3), 483–502. https://doi.org/10.2307/25148853
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478 https://doi.org/10.2307/30036540
  • Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Venkatesh_Thong_Xu_MISQ_forthcoming (GENDER AGE EXPERIENCE). MIS Quarterly, 36(1), 157–178.

Cite this article

    CHICAGO : Ashfaq, Khurram, Hafiz Tassawer Nadeem, and Farhan Iftikhar. 2023. "What Drives Cryptocurrency Acceptance? Evidence from Pakistan." Global Social Sciences Review, VIII (I): 79-86 doi: 10.31703/gssr.2023(VIII-I).07
    HARVARD : ASHFAQ, K., NADEEM, H. T. & IFTIKHAR, F. 2023. What Drives Cryptocurrency Acceptance? Evidence from Pakistan. Global Social Sciences Review, VIII, 79-86.
    MHRA : Ashfaq, Khurram, Hafiz Tassawer Nadeem, and Farhan Iftikhar. 2023. "What Drives Cryptocurrency Acceptance? Evidence from Pakistan." Global Social Sciences Review, VIII: 79-86
    MLA : Ashfaq, Khurram, Hafiz Tassawer Nadeem, and Farhan Iftikhar. "What Drives Cryptocurrency Acceptance? Evidence from Pakistan." Global Social Sciences Review, VIII.I (2023): 79-86 Print.
    OXFORD : Ashfaq, Khurram, Nadeem, Hafiz Tassawer, and Iftikhar, Farhan (2023), "What Drives Cryptocurrency Acceptance? Evidence from Pakistan", Global Social Sciences Review, VIII (I), 79-86
    TURABIAN : Ashfaq, Khurram, Hafiz Tassawer Nadeem, and Farhan Iftikhar. "What Drives Cryptocurrency Acceptance? Evidence from Pakistan." Global Social Sciences Review VIII, no. I (2023): 79-86. https://doi.org/10.31703/gssr.2023(VIII-I).07