Service Business

, Volume 9, Issue 1, pp 161–182 | Cite as

Adopting e-finance: decomposing the technology acceptance model for investors

  • Alireza Abroud
  • Yap Voon Choong
  • Saravanan Muthaiyah
  • David Yong Gun Fie
Theoretical article


Services through the Internet channel are becoming increasingly popular in the business sector. The Stock Exchange of Iran has implemented Internet trading as a new electronic service delivery channel, but the acceptance by securities investors has not yet been measured to assess the value of the implemented system. The purpose of this study was to determine factors influencing the investors’ intention to adopt Internet stock trading platform in Iran. 385 active investors in Tehran stock market participated in this cross-sectional study. We developed a questionnaire as the measurement tool in this research. The questionnaire was administered using self-report approach. Based on the decomposed technology acceptance model (DTAM), the study integrates two new constructs of economic value (time saving and cost reduction) and perceived trust as antecedents of investors’ intention to adopt Internet platform. The structural equation model by Amos software version 19 was used for analyzing and interpreting the data. We found significant relation between perceived usefulness (β = 0.32); ease of use (β = 0.48), trust (β = 0.43) as well as cost reduction (β = 0.33) and investors intention. Attitude was found to be a partial mediator for the effect of perceived usefulness on investor’s intention to adopt online stock trading. Our Findings confirm that the DTAM can be successfully applied to the domain of e-business service in developing countries such as Iran and other countries with similar status of e-finance adoption. Findings could be considered as guidelines for decision makers in stock exchange to develop better strategies and practical procedures.


Economic value Stock trading E-finance Investors intention E-business Technology acceptance model 


  1. Abroud A, Choong YV, Muthaiyah S (2010) Preparation of measurement tools of the effective factors for the acceptance of online stock trading. Eur J Econ Finance Admin Sci 4(19):34–41Google Scholar
  2. Abzari M, Safari A (2005) Electronic stock exchange and its development in Iran. Electron New Comm 2(2):86–106Google Scholar
  3. Adela L, Jerome Y, Patrick YKC (2001) Adoption of online trading in the Hong Kong financial market. J Electron Comm Res 2(2):54–71Google Scholar
  4. Agarwal R, Prasad J (1999) Are individual differences germane to the acceptance of new information technologies? Decis Sci 30(2):361–391CrossRefGoogle Scholar
  5. Ajzen I (1985) From intentions to actions: a theory of planned behavior. Springer, New York, pp 110–139Google Scholar
  6. Ajzen I (2001) Nature and operation of attitudes. Ann Rev Psychol 52(2):27–58CrossRefGoogle Scholar
  7. Ajzen I (2002) Perceived behavioral control, self-efficacy, locus of control and the theory of planned behavior. J Appl Soc Psychol 3(2):1–20Google Scholar
  8. Allameh SM, Jafari N, Esfahani SS (2010) The essential infrastructure preparation assessment for establishing an electronic stock exchange In Iran. Int J Manag Inf Syst 14(2):53–71Google Scholar
  9. Aslam L, Lakshini P, Rnhut (2005) Trust in e-commerce Communication of ACM 48(2):25–91Google Scholar
  10. Bagheri A (2006) Electronic stock exchange: standards and intelligence systems. paper presented at the national electronic stock exchange conference, Iran, 16–26Google Scholar
  11. Baron RM, Kenny DA (1986) Moderator-mediator variables distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51(6):1173–1182CrossRefGoogle Scholar
  12. Bhattacherjee A (2000) Acceptance of e-commerce services: the case of electronic brokerages. IEEE Trans Syst 30(4):411–420Google Scholar
  13. Brown M, Bitner S, Meuter ML (2000) Technology infusion in service encounters. J Acad Mark Sci 1(28):138–149Google Scholar
  14. Chan S, Lu M (2004) Understanding Internet banking adoption and user behavior: a Hong Kong perspective. J Glob Inf Manag 12(3):21–39CrossRefGoogle Scholar
  15. Chen L, Gillenson MX, Sherrell DL (2002) Enticing online consumers: an extended technology acceptance perspective. Inf Manag 2(39):705–719CrossRefGoogle Scholar
  16. Cheng T, Lam DYC, Yeung ACL (2006) Adoption of Internet banking: an empirical study in Hong Kong. Decis Support Syst 42(3):1558–1572CrossRefGoogle Scholar
  17. Chi-Shing Y, Kevin G, David E (2007) Factors affecting the adoption of Internet banking in Hong Kong implications for the banking sector. Int J Inf Manag 2(4):336–351Google Scholar
  18. Christy C, Zhu L, Timothy K, Gloria WC, Imayem M (2005) A critical review of online consumer behavior: empirical research. Paper presented at the 16th Bled E-Commerce Conference E-Transformation Bled, Hong Kong, 1–19Google Scholar
  19. Davis RJ (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quart 13(3):319–340CrossRefGoogle Scholar
  20. Davis RJ, Bagozzi RP, Warsaw PR (1989) User acceptance of computer technology: a comparison of two theoretical models. Manag Sci 35(8):982–1003CrossRefGoogle Scholar
  21. Davis RJ, Edgar C, Gefen D, Straub DW (2000) The relative importance of perceived ease of use in is adoption: a study of e-commerce adoption. Inf Manag 1(8):45–86Google Scholar
  22. Delafrooz N, Paim LH, Khatibi A (2009) Developing an instrument for measurement of attitude toward online shopping. Eur J Soc Sci 7(3):16–25Google Scholar
  23. Devaraj S, Fan M, Kohli R (2002) Antecedents of B2C channel satisfaction and preference: validating e-commerce metrics. Information Systems Research 13(3):316–333CrossRefGoogle Scholar
  24. Dillman DA, Smyth JD, Christian LM (2009). Internet, mail, and mixed-mode surveys: the tailored design method. Wiley, Hoboken, New JerseyGoogle Scholar
  25. Fan M (2001) Electronic commerce and the revolution in financial markets. South-Western Coll Pub 4(8):29–33Google Scholar
  26. Fishbein M, Ajzen I (1975) Attitudes towards objects as predictors of single and multiple behavioral criteria. Psychol Rev 81(1):59–75CrossRefGoogle Scholar
  27. Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18(1):39–50CrossRefGoogle Scholar
  28. Gefen D, Karahanna E, Straub DW (2003a) Inexperience and experience with online stores: the importance of TAM and trust. IEEE Trans Eng Manag 50(3):307–321CrossRefGoogle Scholar
  29. Gefen Dd, Karahanna E, Straub DW (2003b) Trust and TAM in online shopping: an integrated model. MIS Quart 27(1):51–89Google Scholar
  30. Goldman A, Johansson J (1978) Determinants of search for lower prices: an empirical assessment of the economics of information theory. J Consumer Aff Res 1(5):176–186CrossRefGoogle Scholar
  31. Gopi M, Ramayah T (2007) Applicability of theory of planned behavior in predicting intention to trade online some evidence from a developing country. Int J Emerg 2(4):348–360Google Scholar
  32. Hair JF, Tatham RL, Anderson RE (1998) Multi-variate data analysis. Prentice-Hall, New York, pp 65–212Google Scholar
  33. Hair JF, Anderson RE, Tatham RL, Black BC (2006) Multivariate data analysis. Prentice-Hall, Upper Saddle River, pp 316–342Google Scholar
  34. Hawes J, Mast KW, Swan JE (1989) Trust earning perceptions of sellers and buyers. J Pers Sell Sales Manag 1(9):1–8Google Scholar
  35. Heinsman H, Hoogh A, Koopman PL (2007) Commitment, control, and the use of competency management. Use Competency Manag Sci 3(6):609–628Google Scholar
  36. Helander MG, Khalid HM (2000) Modeling the customer in electronic commerce. Appl Ergonom 13(6):609–618CrossRefGoogle Scholar
  37. Hsing W (2005) The role of personality traits in UTAUT model under online stocking. Contemp Manag Res 1(1):69–82Google Scholar
  38. Ing-Long W, Jian-Liang C (2005) An extension of trust and TAM model with TPB in the initial adoption of on-line tax: an empirical study. Hum Comput Stud 62(6):784–808CrossRefGoogle Scholar
  39. Joo Eng L, Ho PS (2003) A retail investor’s perspective on the acceptance of internet stock trading. Paper presented at the Proceedings of the 36th Hawaii international conference on system sciences (HICSS’03), 12–18Google Scholar
  40. Kalakota R, Whinston A (1996) The executive director of trading and information technology of the stock exchange of Hong Kong (SEHK). Electron Comm 2(1):125–190Google Scholar
  41. Keeney RL (1999) The value of Internet commerce to the customer. Manag Sci 45(4):533–542CrossRefGoogle Scholar
  42. Kennickell AB, Starr-McCluer M, Surette B (2005) Recent changes in U.S. family finances: results from the, 1998 Survey of Consumer Finances. Bulletin 86(2):1–29Google Scholar
  43. Kim S, Chung-gu S (2004) Factors influencing customers use of electronic commerce in stock trading :an empirical study in Korea. Project T.F.T 4(5):61–73Google Scholar
  44. Kline RB (1998) Principles and practice of structural equation modeling. The Guilford Press, New York, pp 215–294Google Scholar
  45. Kline RB (2005) Principles and practice of structural equation modeling, 2nd edn. Guilford, New York, pp 213–261Google Scholar
  46. Kolekofski KE, Heminger A (2003) Beliefs and attitudes affecting intentions to share information in an organizational setting. Information & Management 40:521–532CrossRefGoogle Scholar
  47. Lederer A, Maupin D, Sena M, Zhuang Y (2000) The technology acceptance model and the World Wide Web. Decis Support Syst 29(3):269–282CrossRefGoogle Scholar
  48. Lee SH (2000) Securities transactions in changing: online stock transactions in Korea. Capital Market 11(2):321–326Google Scholar
  49. Lee M (2005) Effects of attitude and destination image on association members ‘meeting participation intentions: development of meeting participation model. Kansas State University, PagesGoogle Scholar
  50. Lee J-N, Pi Jae-Nam, Minh Q (2003) The contribution of commitment value in internet commerce: an empirical investigation. J Assoc Inf Syst 4(1):39–64Google Scholar
  51. Li P (1999) Elementary introduction of Internet based stock trading. Dealers Assoc Bimonthly 4(5):27–37Google Scholar
  52. Liang T, Lai H (2002) Effect of store design on consumer purchases: van empirical study of online bookstores. Inf Manag 39(6):431–444CrossRefGoogle Scholar
  53. Limayem M, Khalifa M, Frini A (2000) What makes consumers buy from Internet? A longitudinal study of online shopping. Syst Hum 30(4):421–432CrossRefGoogle Scholar
  54. Lynch JG, Ariely D (2000) Wine online: search costs and competition on price, quality, and distribution. Mark Sci 19(1):83–103CrossRefGoogle Scholar
  55. Madhoshi M, Niyazi (2005) The role of information technology in the development of Iran’s stock exchange. Paper presented at the 4th international management, Teharan, Iran, 9–17Google Scholar
  56. Mayer RC, Davis JH, Schoorman FD (1995) An integrative model of organizational trust. Acad Manag Rev 20(3):709–734Google Scholar
  57. Ming-Chi Lee (2009a) Predicting and explaining the adoption of online trading: an empirical study in Taiwan. Decis Support Syst 47(2):133–142CrossRefGoogle Scholar
  58. Ming-Chi Lee (2009b) Factors influencing the adoption of Internet banking: an integration of TAM and TPB with perceived risk and perceived benefit. Electron Commer Res Appl 8(3):130–141CrossRefGoogle Scholar
  59. Morganosky M, Cude B (2000) Consumer response to online grocery shopping. Int J Retail Distribut Manag 28(1):17–26CrossRefGoogle Scholar
  60. Ndubisi N, Chukwunonso N (2004) On-line learning adoption intention: comparing the predictive power of two competing models. pp 242–251Google Scholar
  61. Nunnally JC (1978) Psychometric theory. McGraw-Hill, New York, pp 231–260Google Scholar
  62. Park J (2003) Understanding consumer intention to shop online Dissertation. Columbia, MO University of Missouri 6(2):68–80Google Scholar
  63. Patrick Y, Chau K, Lau A, Yen J (2001) Adoption of online stock trading in the Hong Kong Financial market. J Electron Comm Res 2(2):58–60Google Scholar
  64. Pavlou P (2003) Consumer acceptance of electronic commerce: integrating trust and risk with the Technology Acceptance Model. Int J Electron Comm 7(3):69–103Google Scholar
  65. Ramayah T, Kamel R, Gopi M, Rangel GJ (2009) A decomposed theory of reasoned action to explain intention to use Internet stock trading among Malaysian investors. Comput Hum Behav 25(4):122–130Google Scholar
  66. Shi-Ming H, Yu-Chung H, David CY (2005) A study on decision factors in adopting an online stock trading system by brokers in Taiwan. Decis Support Syst 40(2):315–328CrossRefGoogle Scholar
  67. Singh A (2010) Investors’ adoption of internet stock trading: a Study. J Internet Bank Comm 15(1):14–19Google Scholar
  68. Siriluck (2006) Exploring the antecedents of electronic service acceptance: evidence from internet securities trading proceedings. Paper presented at the fourth international conference on e-business, Bangkok, 63–84Google Scholar
  69. Steiger H (1990) Structural model evaluation and modification: an interval estimation approach. Multivar Behav Res 25:173–180CrossRefGoogle Scholar
  70. Taylor S, Todd PA (1995) Understanding the information technology usage: a test of competing models. Inf Syst Res 6(2):144–176CrossRefGoogle Scholar
  71. Teo S, Wang P, Leong C (2004a) Understanding online shopping behavioral using a transaction cost economics approach. Internet Market Advert 1(1):62–84CrossRefGoogle Scholar
  72. Teo TSH, Tan M, Peck SN (2004b) Adopters and non-adopters of Internet stock trading in Singapore. Behav Inf Technol 23(3):211–223CrossRefGoogle Scholar
  73. Urbany JE (1986) An experimental examination of the economics of information. J Consumer Res 13(2):257–271CrossRefGoogle Scholar
  74. Venkatesh V, Davis F (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag Sci 46(2):186–204CrossRefGoogle Scholar
  75. Venkatesh V, Morris MG, Ackerman PL (2000) A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organ Behav Hum Decis Process 83(1):33–60CrossRefGoogle Scholar
  76. Vijayasarathy LR (2004) Predicting consumer intentions to use online shopping: the case for an augmented technology acceptance model. Inf Manag 41(6):747–762CrossRefGoogle Scholar
  77. Waleed A-G, Sanzogni L, Sandhu K (2010) Factors influencing the adoption and usage of online service in Saudi Arabia. Electron J Inf Syst Develop Countries (EJISDC) 40(1):1–32Google Scholar
  78. Wang Y, Lin H, Tang (2003) Determinants of user acceptance of Internet banking: an empirical study. Int J Serv Indust Manag 74(5):501–519CrossRefGoogle Scholar
  79. WSEF, World Stock Exchange Federation (2010) World stock exchange federation report from operations of world stocks organizations in 2008 Economic world, p. 7Google Scholar
  80. World-Stats (2010) Internet users and population statistic for Asia ( Accessed 2 Jun 2010
  81. Zhou L, Chiang WY, Zhang D (2004) Discovering rules for predicting customers’ attitude toward Internet Retailers. J Electron Comm Res 5(4):228–238Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Alireza Abroud
    • 1
    • 2
  • Yap Voon Choong
    • 1
  • Saravanan Muthaiyah
    • 1
  • David Yong Gun Fie
    • 1
  1. 1.Faculty of ManagementMultimedia UniversityCyberjayaMalaysia
  2. 2.Payame Noor UniversityShahrekordIran

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