The determinants of online buying intention

Junita Safitri, Paham Ginting, Endang Sulistya Rini, Arlina Nurbaity Lubis

Abstract


Today Social Media is something that you cannot live without. Most of us today addicted to Social Media. Social Media had changed many things in our life. We are communicating, chatting, sharing, inspiring and shopping simultaneously using Social Media. Despite offering so much fun, social Media can be very dangerous. In Aceh Province online shoppers prefer Social Media to Online website for online shopping option. This study is a quantitative research which tested the role of two beliefs of technology usage perceived ease of use and perceived usefulness as determinant factor along with social influence in influencing online buying intention. Purpose of this study is to identify the affecting factor of social media buying intention. The population of this study was Social Media User who experience online shopping and located in Aceh. This study was conducted using 199 respondents as samples which were taken from specific population. This study were using Observation and Questionnaires as data collecting method. Partial Least Square (PLS) used as data analyzing method. This study resulted that online buying intention significant in influencing online buying behavior. Perceived Usefulness is significant in influencing online buying intention. Social Influence found significant in influencing online buying intention.


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References


A. Leepraphong and A. Mardjo.2013.” Trust and Risk in Purchase intention through online social network: A Focus group study of Facebook in Thailand. Journal of Economics, Business and Management Vol 1,No.4, November 2013.

C.E.Werts,R.L.Linn and K.G.Joreskog.1974. Intraclass Reliability Estimates: Testing Structural Assumptions. Journal of Educational and Psychological Measurement 34(1),25-33

Chen Yang. 2013. Research of Social E-commerce users recommend impact on consumer purchase intention. Beijing: Beijing University of Post and Telecommunication.

Chen Yun.2012. Social Media, Chinese Enterprises cannot miss the opportunity. Modern Economic information, 2012(11): 117-118

Chin,W.W.1998. The Partial Least Squares approach for Structural Equation Modelling in GA Marcoulides (Ed), Modern Methods for Business Research (pp.295-236). London: Erlbaum Associates.

Cho, C Yoon. 2015. Exploring Factors that affect Usefulness,Ease of Use, Trust and Purchase intention in the online environment. International Journal of Management and Information systems Management and Information systems

Davis, F.D (1989) Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319 – 339.

Fishbein M and Ajzen I (1975). Belief,Attitude,Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading MA

Fornell C andLarcker,D.F. 1981. Evaluating Structural Equation Models with unobserveable variables and measurement error.Journal of Marketing Research 18 (1) pp.39-50

Joseph F. Hair JR, William C. Black, Barry J Babin, and Rolph E, Anderson.2010. Multivariate and Analysis. Seventh Edition

Kaplan, A.M. and Haenlein,M.2010. Users of the world,unite! The challenges and opportunities of social media.Business Horizons, Vol. 53 No.1,pp.59-68

Kelman C Herbert. Compliance.1983. Identification and Internalization three processes of attitude change. Conflict Resolution Volume II No.1

Liang,B & Scammon D.L.2011. E-Word-of-Mouth on Health Social Networking sites: An opportunity for tailored health communication. Jurnal of consumer behavior, 10(6),322-331

Malhotra, Yogesh & Dennis F.Galletta.1999. Extending The Technology Acceptance Model to Account For Sosial Influences : Theoretical Bases and Empirical Validation. Proceeding of the 32nd Hawaii International Conference on System Sciences-1999

Mao,En & Prashant Palvia. 2006. Testing an extended Model of IT Acceptance in the Chinese Cultural Context.Database Vol.37,No.2&3 Spring/Summer 2006.pp 20-32

Parasuraman A & Colby C.L .2015. An Updated and Streamlined technology readiness index .TRI 2.0 .Journal of Service Research, 18(1),59-74

Pookulangara,S & Koesler K .2011. Cultural Influenceon consumer usage of Social Networks and its impact on online purchase intentions. Journal of

Rupak Rauniar Greg Rawski Jei Yang Ben Johnson (2014), Technology Acceptance Model (Technology Acceptance Model (TAM)) and Sosial Media Usage : An empirical study on Facebook. Journal of Enterprise Information Management, Vol.27 iss 1 pp 6-30.

S. Nenonen, “Consumers Perceived Risk in e-shopping in Proc. The 4th International conference on occupational Risk Prevention 2006

Zhou,T.2011. Understanding online community user participation: A Social Influence Pespective, internet research,21(1),67-81


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