An Analysis of the Factors Influencing the Adoption of Online Shopping

This article aims to identify the main influencing factors that may influence the adoption of online shopping in the UK by integrating Unified Theory of Acceptance and Use of Technology2 (UTAUT2) and DeLone-McLean model of IS Success with trust (TR), product variety (PRDV) and product guarantee. Data was collected from 388 British online shopping consumers using a structured self-administrated questionnaire. Structural equation modeling (SEM) showed that behavioural intention (BI) was influenced by performance expectancy (PE), convenience (CON), service quality (SerQ), trust (TR), product guarantee (PG), product guarantee (PRDV) and compatibility (COMP), in their order of influencing strength and all together accounted for 70.4% of the variance in BI. Contrary to the authors' expectations, effort expectancy (EE) and social influence (SI) did not have an influence on BI. The implications of this article to both theory and practice is discussed at the end.

[1]  Marijn Mulders.  SERVQUAL , 2019, 101 Management Models.

[2]  Narasimha Rao Vajjhala,et al.  Examining e-Adoption of Agricultural Systems by Farmers in Central Nigeria , 2019, Int. J. E Adopt..

[3]  Rabiah Ahmad,et al.  Integrating information quality dimensions into information security risk management (ISRM) , 2017, J. Inf. Secur. Appl..

[4]  Maged Ali,et al.  Extending the UTAUT model to understand the customers' acceptance and use of internet banking in Lebanon: A structural equation modeling approach , 2016, Inf. Technol. People.

[5]  A. Zolait,et al.  Determinants of Behavioral Intentions towards Using E-Government Services in the Kingdom of Bahrain , 2016 .

[6]  H. Celik.  Customer online shopping anxiety within the Unified Theory of Acceptance and Use Technology (UTAUT) framework , 2016 .

[7]  Yogesh Kumar Dwivedi,et al.  Customers’ Intention and Adoption of Telebanking in Jordan , 2016, Inf. Syst. Manag..

[8]  Safizal Abdullah,et al.  Factors Influencing Online Shopping Behavior: The Mediating Role of Purchase Intention , 2016 .

[9]  Lingling Gao,et al.  Understanding consumers' continuance intention towards mobile purchase: A theoretical framework and empirical study - A case of China , 2015, Comput. Hum. Behav..

[10]  Ali Tarhini,et al.  Impact of individualism and collectivism over the individual's technology acceptance behaviour: A multi-group analysis between Pakistan and Turkey , 2015, J. Enterp. Inf. Manag..

[11]  Nalin Asanka Gamagedara Arachchilage,et al.  A Critical Review of Theories and Models of Technology Adoption and Acceptance in Information System Research , 2015, Int. J. Technol. Diffusion.

[12]  Shih-Chi Chang,et al.  An Extended TAM to Explore Behavioural Intention of Consumers to Use M-Commerce , 2015, J. Inf. Knowl. Manag..

[13]  Julián Chaparro-Peláez,et al.  Influences of gender and product type on online purchasing , 2015 .

[14]  Xiaohui Liu,et al.  A cross-cultural examination of the impact of social, organisational and individual factors on educational technology acceptance between British and Lebanese university students , 2015, Br. J. Educ. Technol..

[15]  Tat Huei Cham,et al.  A profile of the Internet shoppers: Evidence from nine countries , 2015, Telematics Informatics.

[16]  Weng Marc Lim.  Antecedents and consequences of e-shopping: an integrated model , 2015, Internet Res..

[17]  Lisa Y. Chen.  Exploring the quality of mobile shopping system and its link to the organizational performance , 2015 .

[18]  Paulo Duarte,et al.  An integrative model of consumers' intentions to purchase travel online , 2015 .

[19]  Vishanth Weerakkody,et al.  Investigating success of an e-government initiative: Validation of an integrated IS success model , 2014, Information Systems Frontiers.

[20]  Sinda Agrebi,et al.  Explain the intention to use smartphones for mobile shopping , 2015 .

[21]  Yogesh Kumar Dwivedi,et al.  Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust , 2015, Journal of Financial Services Marketing.

[22]  John Ingham,et al.  e-Shopping acceptance: A qualitative and meta-analytic review , 2015, Inf. Manag..

[23]  Siti Norezam Othman,et al.  The impact of students' attitude and subjective norm on the behavioural intention to use services of banking system , 2014, Int. J. Bus. Inf. Syst..

[24]  Lingling Gao,et al.  An empirical study on continuance intention of mobile social networking services: Integrating the IS success model, network externalities and flow theory , 2014 .

[25]  Michael D. Clemes,et al.  An empirical analysis of online shopping adoption in Beijing, China , 2014 .

[26]  Ali Hussein Saleh Zolait,et al.  The nature and components of perceived behavioural control as an element of theory of planned behaviour , 2014, Behav. Inf. Technol..

[27]  Raed Algharabat,et al.  Conceptualising and modelling virtual product experience for online retailers , 2014 .

[28]  Yogesh Kumar Dwivedi,et al.  Examining Factors Affecting Customer Intention And Adoption Of Internet Banking In Jordan , 2014, UKAIS.

[29]  Rupak Rauniar,et al.  Technology acceptance model (TAM) and social media usage: an empirical study on Facebook , 2014, J. Enterp. Inf. Manag..

[30]  Ilyoo B. Hong,et al.  The mediating role of consumer trust in an online merchant in predicting purchase intention , 2013, Int. J. Inf. Manag..

[31]  Tao Zhou,et al.  Understanding continuance usage intention of mobile internet sites , 2013, Universal Access in the Information Society.

[32]  Hans-Dieter Zimmermann,et al.  Social commerce research: An integrated view , 2013, Electron. Commer. Res. Appl..

[33]  Michael Nikolaidis,et al.  6th International Conference on Information and Communication Technologies in Agriculture, Food and Environment (HAICTA 2013) Predicting Consumer's Perceptions in On-line Shopping , 2013 .

[34]  Chun-Ming Chang,et al.  Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents , 2012, Decis. Support Syst..

[35]  Alain Yee-Loong Chong,et al.  Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia , 2012, Decis. Support Syst..

[36]  Weng Marc Lim,et al.  E-shopping: an Analysis of the Technology Acceptance Model , 2012 .

[37]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[38]  Yogesh Kumar Dwivedi,et al.  A Meta-analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT) , 2011, Governance and Sustainability in Information Systems.

[39]  R. Ramanathan.  An empirical analysis on the impact of risk on customer loyalty in electronic commerce , 2011 .

[40]  V. Yilmaz,et al.  Extending the Technology Acceptance Model for Adoption of E-Shopping by Consumers in Turkey , 2011 .

[41]  Namho Chung,et al.  The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea , 2011 .

[42]  Tao Zhou,et al.  Integrating TTF and UTAUT to explain mobile banking user adoption , 2010, Comput. Hum. Behav..

[43]  Charles Dennis,et al.  The influences of social e-shopping in enhancing young women’s online shopping behaviour , 2010 .

[44]  Patrick Y. K. Chau,et al.  A Comparative Study of Individual Acceptance of Instant Messaging in the US and China: A Structural Equation Modeling Approach , 2010, Commun. Assoc. Inf. Syst..

[45]  Jiyeon Kim,et al.  Factors affecting adoption of product virtualization technology for online consumer electronics shopping , 2010 .

[46]  V. Venkatesh,et al.  Unified Theory of Acceptance and Use of Technology: U.S. Vs. China , 2010 .

[47]  Emad AbuShanab,et al.  Internet Banking and Customers' Acceptance in Jordan: The Unified Model's Perspective , 2010, Commun. Assoc. Inf. Syst..

[48]  Kun Chang Lee,et al.  Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean's model perspective , 2009, Interact. Comput..

[49]  J. M. Jensen,et al.  Shopping orientation and online clothing purchases: the role of gender and purchase situation , 2009 .

[50]  Chris Hand,et al.  Online grocery shopping: the influence of situational factors , 2009 .

[51]  C. Jayawardhena,et al.  e-Consumer Behaviour , 2009 .

[52]  Linda S. Niehm,et al.  The Impact of Website Quality on Information Quality, Value, and Loyalty Intentions in Apparel Retailing , 2009 .

[53]  Andreas H. Zins,et al.  Acceptance of Online vs. Traditional Travel Agencies , 2009 .

[54]  L. Stoel,et al.  Consumer e-shopping acceptance: Antecedents in a technology acceptance model , 2009 .

[55]  Gi Mun Kim,et al.  Understanding dynamics between initial trust and usage intentions of mobile banking , 2009, Inf. Syst. J..

[56]  Robin N. Shaw,et al.  Predicting the Likelihood of Voiced Complaints in the Self-Service Technology Context , 2009 .

[57]  Ann Marie Fiore,et al.  The role of experiential value in online shopping: The impacts of product presentation on consumer responses towards an apparel web site , 2009, Internet Res..

[58]  C. J. Prasad,et al.  Determinants of Shopper Behaviour in E-tailing: An Empirical Analysis , 2009 .

[59]  Ainin Sulaiman,et al.  Incorporating the Innovation Attributes Introduced by Rogers'Theory into Theory of Reasoned Action: An Examination of Internet Banking Adoption in Yemen , 2008, Comput. Inf. Sci..

[60]  Hsiu-Fen Lin,et al.  Predicting consumer intentions to shop online: An empirical test of competing theories , 2007, Electron. Commer. Res. Appl..

[61]  M. Alvesson,et al.  Constructing mystery: Empirical matters in theory development , 2007 .

[62]  Fred D. Davis,et al.  Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research , 2007, J. Assoc. Inf. Syst..

[63]  Richard P. Bagozzi,et al.  The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift , 2007, J. Assoc. Inf. Syst..

[64]  Lina Zhou,et al.  ONLINE SHOPPING ACCEPTANCE MODEL — A CRITICAL SURVEY OF CONSUMER FACTORS IN ONLINE SHOPPING , 2007 .

[65]  Didier Soopramanien,et al.  Adoption and usage of online shopping: an empirical analysis of the characteristics of ‘‘buyers’’ ‘‘browsers’’ and ‘‘non-internet shoppers’’ , 2007 .

[66]  G. Johns.  The Essential Impact of Context on Organizational Behavior , 2006 .

[67]  Mark Turner,et al.  Is shopping online now risk free for UK consumers? , 2006, Comput. Law Secur. Rev..

[68]  V. Ann Paulins,et al.  College students' attitudes toward shopping online for apparel products , 2005 .

[69]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[70]  L. Schaupp,et al.  A CONJOINT ANALYSIS OF ONLINE CONSUMER SATISFACTION 1 , 2005 .

[71]  Vincent S. Lai,et al.  Literature derived reference models for the adoption of online shopping , 2005, Inf. Manag..

[72]  Yi-Ching Hsieh,et al.  Website quality and customer's behavioural intention: an exploratory study of the role of information asymmetry , 2005 .

[73]  Gwo-Guang Lee,et al.  Customer perceptions of e‐service quality in online shopping , 2005 .

[74]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[75]  Ephraim R. McLean,et al.  Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model , 2004, Int. J. Electron. Commer..

[76]  Gautam Bhattacharya,et al.  The impacts of quickness, price, payment risk, and delivery issues on on-line shopping , 2004 .

[77]  M. Conner,et al.  The Theory of Planned Behaviour , 2004 .

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

[79]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[80]  Leo R. Vijayasarathy,et al.  Product characteristics and Internet shopping intentions , 2002, Internet Res..

[81]  I HerpenvanH.W.,et al.  The Variety of An Assortment : An Extension to the Attribute-Based Approach , 2002 .

[82]  Michael Tow Cheung,et al.  Internet-based e-banking and consumer attitudes: an empirical study , 2002, Inf. Manag..

[83]  David M. Szymanski,et al.  E-satisfaction: an initial examination , 2000 .

[84]  Alexander Hars,et al.  Web Based Knowledge Infrastructures for the Sciences: An Adaptive Document , 2000, Commun. Assoc. Inf. Syst..

[85]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[86]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[87]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

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

[89]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

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

[91]  R. P. McDonald,et al.  Structural Equations with Latent Variables , 1989 .

[92]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[93]  Minjoon Jun,et al.  Consumer Perception of E-Service Quality: From Internet Purchaser and Non-Purchaser Perspectives , 1970, Journal of Business Strategies.