A decomposed theory of reasoned action to explain intention to use Internet stock trading among Malaysian investors

This article studied factors influencing the intention to use Internet stock trading among investors in Malaysia. To achieve this objective, this study selected the decomposed theory of reasoned action as a theoretical basis to explain variation in intention to use. Structured questionnaires were used to collect data from 144 current and potential investors who are aware of Internet stock trading in Malayisa. Findings show that attitude and subjective norm have a direct positive relationship towards behavioral intention to use Internet stock trading. Attitude was significantly influenced by perceived ease of use and perceived usefulness whereas subjective norm was significantly influenced by injunctive norm and descriptive norm which were proposed as antecedents. In addition the results of the study could serve as a guideline for online stock broking organizations in understanding the factors and programs that need to be initiated to increase online stock trading among current and potential retail investors. As not much has been written on decomposed theory of reasoned action, particularly in Internet stock trading, this study adds to the literature of understanding intention to use a technology in a developing country.

[1]  P. Beynon-Davies E-Business , 2004 .

[2]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[3]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[4]  R. Sitgreaves Psychometric theory (2nd ed.). , 1979 .

[5]  M. Hagger,et al.  First- and higher-order models of attitudes, normative influence, and perceived behavioural control in the theory of planned behaviour. , 2005, The British journal of social psychology.

[6]  Siu-cheung Chan,et al.  Understanding Internet Banking Adoption and Use Behavior: A Hong Kong Perspective , 2004, J. Glob. Inf. Manag..

[7]  I. Ajzen,et al.  Attitudes and the Attitude-Behavior Relation: Reasoned and Automatic Processes , 2000 .

[8]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[9]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[10]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[11]  B. Tabachnick,et al.  Using Multivariate Statistics , 1983 .

[12]  A. Athiyaman Internet users’ intention to purchase air travel online: an empirical investigation , 2002 .

[13]  Carl A. Kallgren,et al.  A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. , 1990 .

[14]  David I. Laibson,et al.  How does the Internet affect trading? Evidence from investor behavior in 401(k) plans $ , 2002 .

[15]  Vallabh Sambamurthy,et al.  Sources of Influence on Beliefs about Information Technolgoy Use: An Empirical Study of Knowledge Workers , 2003, MIS Q..

[16]  I. Ajzen The theory of planned behavior , 1991 .

[17]  Thurasamy Ramayah,et al.  The relationships between belief, attitude, subjective norm, and behavior towards infant food formula selection The Views of the Malaysian Mothers , 2004 .

[18]  T. Ramayah,et al.  Applicability of theory of planned behavior in predicting intention to trade online , 2007 .

[19]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[20]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[21]  Anol Bhattacherjee,et al.  Acceptance of e-commerce services: the case of electronic brokerages , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[22]  P. Sheeran,et al.  Social Influences and the Theory of Planned Behaviour: Evidence for a Direct Relationship Between Prototypes and Young People's Exercise Behaviour , 2003 .

[23]  Detmar W. Straub,et al.  Inexperience and experience with online stores: the importance of TAM and trust , 2003, IEEE Trans. Engineering Management.

[24]  A. Hassanien,et al.  Emerging Markets and E-Commerce in Developing Economies , 2008 .

[25]  J. Beckmann,et al.  Action control : from cognition to behavior , 1985 .

[26]  Thomas Weigold,et al.  Secure Internet banking authentication , 2006, IEEE Security & Privacy.

[27]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[28]  Kamel Rouibah,et al.  User Acceptance of Internet Banking In Malaysia: Test of Three Competing Models , 2009, Int. J. E Adopt..

[29]  Joo Eng Lee-Partridge,et al.  A retail investor's perspective on the acceptance of Internet stock trading , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[30]  I. Ajzen Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. , 2002 .

[31]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[32]  Kwoting Fang,et al.  The use of a decomposed theory of planned behavior to study Internet banking in Taiwan , 2004, Internet Res..

[33]  P. Sheeran,et al.  Descriptive norms as an additional predictor in the theory of planned behaviour: A meta-analysis , 2003 .

[34]  J. Nunnally Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[35]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[36]  B. A. Matthews,et al.  When Is Believing “Seeing”? Hostile Attribution Bias as a Function of Self‐Reported Aggression1 , 2002 .

[37]  J. Hair Multivariate data analysis , 1972 .

[38]  E. Rogers Diffusion of Innovations , 1962 .

[39]  Yi-Shun Wang,et al.  DETERMINANTS OF USER ACCEPTANCE OF INTERNET BANKING: AN EMPIRICAL STUDY , 2003 .

[40]  S. Snell,et al.  Integrated Manufacturing and Human Resource Management: A Human Capital Perspective , 1992 .

[41]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[42]  Julie Pallant,et al.  SPSS survival manual : a step by step guide to data analysis using SPSS for Windows , 2001, Behaviour Change.

[43]  Ingoo Han,et al.  Effect of trust on customer acceptance of Internet banking , 2002, Electron. Commer. Res. Appl..

[44]  Ryan E Rhodes,et al.  Investigating multiple components of attitude, subjective norm, and perceived control: an examination of the theory of planned behaviour in the exercise domain. , 2003, The British journal of social psychology.

[45]  Chang Liu,et al.  Technology acceptance model for wireless Internet , 2003, Internet Res..

[46]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[47]  Paul Jen-Hwa Hu,et al.  Information Technology Acceptance by Individual Professionals: A Model Comparison Approach , 2001, Decis. Sci..

[48]  Leo R. Vijayasarathy,et al.  Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model , 2004, Inf. Manag..

[49]  Amlus Ibrahim,et al.  Determinants of intention to use an online bill payment system among MBA students , 2005 .

[50]  Terence A. Shimp,et al.  The Theory of Reasoned Action Applied to Coupon Usage , 1984 .

[51]  Thurasamy Ramayah,et al.  INTENTION TO PURCHASE VIA THE INTERNET: A COMPARISON OF TWO THEORETICAL MODELS , 2005 .