Understanding Online Shopping Adoption in India: Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) With Perceived Risk Application
Published Online:11 Nov 2016https://doi.org/10.1287/serv.2016.0154
References
- (2010) Internet banking and customer’s acceptance in Jordan: The unified model’s perspective. Comm. Assoc. Inform. Systems 26(1):493–524.Google Scholar
- (1991) The theory of planned behavior. Organ. Behav. Human Decision Processes 50(11):179–211.Crossref, Google Scholar
- (2014) The continued use of Internet banking: Combining UTAUT2 theory and service quality model. J. Global Management Res. 10(2):11–28.Google Scholar
- (2007) Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Inform. Management 44(8):681–691.Crossref, Google Scholar
- (2011) Perceived risk in apparel online shopping: A multidimensional perspective. Canadian Soc. Sci. 7(2):23–31.Google Scholar
- (2010) AIS in Australia: UTAUT application and cultural implication. ACIS 2010 Proc., Brisbane, 1–3.Google Scholar
- ASSOCHAM INDIA (2014) Evolution of e-commerce in India, creating the bricks behind the clicks. Accessed April 25, 2015, https://www.pwc.in/assets/pdfs/publications/2014/evolution-of-e-commerce-in-india.pdf.Google Scholar
- (2014) Adopting an extended UTAUT2 to predict consumer adoption of m-technologies in Saudi Arabia. Proc. 19th UK Acad. Inform. Systems Conf., Oxford, UK 5:1–25.Google Scholar
- (2015) Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Comput. Human Behav. 50(September):418–430.Crossref, Google Scholar
- (2006) Transition to a market orientation: Preliminary evidence from China. Marketing Intelligence Planning 24(4):332–346.Crossref, Google Scholar
- (2015) Modifying UTAUT and innovation diffusion theory to reveal online shopping behavior: Familiarity and perceived risk as mediators. Inform. Development, ePub ahead of print December 23, https://doi.org/10.1177/0266666915623317.Google Scholar
- (2003) A conceptual model of perceived customer value in e-commerce: A preliminary investigation. Psych. Marketing 20(4):323–347.Crossref, Google Scholar
- (2014) Applying mobile credit card POS system for home delivery system. Internat. J. Adv. Comput. Sci. Appl. 4(1):145–149.Google Scholar
- (2014) Investigating the significance of the “pay on delivery” option in emerging prosperity of the Nigerian e-commerce sector. J. Marketing Management 5(1):120–135.Google Scholar
- (2008) Understanding web-based learning continuance intention: The role of subjective task value. Inform. Management 45(3):194–201.Crossref, Google Scholar
- (2013) A two staged SEM neural network approach for understanding and predicting the determinants of m-commerce adoption. Expert Systems Applications 40(4):1240–1247.Crossref, Google Scholar
- (1989) Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quart. 13(3):319–339.Crossref, Google Scholar
- Ernst and Young (2012) Rebirth of e-commerce in India. Accessed November 22, 2015, https://www.ey.com/Publication/vwLUAssets/Rebirth_of_e-commerce_in_India/$FILE/EY_RE-BIRTH_OF_ECOMMERCE.pdf.Google Scholar
- (2003) Predicting e-services adoption: A perceived risk facets perspective. Internat. J. Human Comput. Stud. 59(4):451–474.Crossref, Google Scholar
- (2011) Internet banking adoption in Kuala Lumpur: An application of UTAUT model. Internat. J. Bus. Management 6(4):161–167.Google Scholar
- (1981) Evaluating structural equation models with unobservable variables and measurement error. J. Marketing Res. 18(1):39–50.Crossref, Google Scholar
- (2003) Consumer patronage and risk perceptions in Internet shopping. J. Bus. Res. 56(11):867–875.Crossref, Google Scholar
- (2006) Development of a scale to measure the perceived benefits and risks of online shopping. J. Interactive Marketing 20(2):55–75.Crossref, Google Scholar
- (2012) Emergence of online shopping in India: Shopping orientation segments. Internat. J. Retail Distribution Management 40(10):742–756.Crossref, Google Scholar
- (2003) The diffusion of Internet banking among Singapore consumers. Internat. J. Bank Marketing 21(1):16–28.Crossref, Google Scholar
- (2012) The effect of performance expectancy, effort expectancy, social influence and facilitating conditions on acceptance of e-banking services in Iran: The moderating role of age and gender. Middle-East J. Sci. Res. 12(6):801–807.Google Scholar
- (2012) Evaluating factors influencing customer satisfaction towards online shopping in China. Asian Soc. Sci. 8(13):40–50.Crossref, Google Scholar
- (2008) Adoption of ICT in a government organization in a developing country: An empirical study. J. Strategic Inform. Systems 17(2):140–154.Crossref, Google Scholar
- (2014) Factors affecting the use behavior of social media using UTAUT2. Proc. First Asia-Pacific Conf. Global Bus., Econom., Finance Soc. Sci., August 1–3, Singapore, S471:1–14.Google Scholar
- (2011) An international comparison of technology adoption testing the UTAUT model. Inform. Management 45(1):1–9.Crossref, Google Scholar
- (2011) The psychology of decisions to abandon waits for service. J. Marketing Res. 48(6):970–984.Crossref, Google Scholar
- (2013) Bricks or clicks? Consumer attitude towards traditional and online stores. Global Econom. Management Rev. 18(1):12–21.Crossref, Google Scholar
- (2014) E-service quality: A study of online shoppers in India. Amer. J. Bus. 29(2):178–188.Crossref, Google Scholar
- (2010) Effective information security requires a balance of social and technology factors. MIS Quart. Executive 9(3):163–175.Google Scholar
- (2010) Factors affecting adoption of product virtualization technology for online consumer electronics shopping. Internat. J. Retailing Distribution Management 38(3):190–204.Crossref, Google Scholar
- (2010) Predicting young consumers’ take up mobile banking services. Internat J. Bank Marketing 28(5):410–32.Crossref, Google Scholar
- (2002) Engendering trust in e-commerce: A study of gender-based concerns. Marketing Intelligence Planning 20(4):206–214.Crossref, Google Scholar
- (2014) Online shopping drivers and barriers for older adults; age and gender differences. Comput. Human Behav. 37(3): 133–143.Crossref, Google Scholar
- (2014) Factors affecting online repurchase intention. Indust. Management Data Systems 114(4):597–611.Crossref, Google Scholar
- (1999) Technology use and performance: A field study of broker workstations. Decision Sci. 30(2):291–311.Crossref, Google Scholar
- (2015) Retail ecommerce sales in India 2014–2018: Disappointing 1% of total retail sales [REPORT]. Dazeinfo (January 7), http://dazeinfo.com/2015/01/07/retail-ecommerce-sales-in-india-growth-2014-2018-report/.Google Scholar
- (2014) Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. Internat. J. Inform. Management 34(1):1–13.Crossref, Google Scholar
- (2013) The effect of perceived risk on online shopping in Jordan. Eur. J. Bus. Management 5(6):76–87.Google Scholar
- (2001) Extending technology acceptance model: The influence of perceived user resources. Database. Adv. Inform. System 32(3):86–112.Crossref, Google Scholar
- (2010) A framework for evaluating the customer wait experience. J. Service Management 21(3):269–290.Crossref, Google Scholar
- (2015) Total retail 2015: Retailers and age of disruption. Accessed January 5, 2016, https://www.pwc.in/assets/pdfs/publications/2015/retailers-and-the-age-disruption.pdf.Google Scholar
- (2007) Charismatic leadership and user acceptance of information technology. European J. Inform. Systems 16(4):494–510.Crossref, Google Scholar
- (2011) Internet marketing and customer satisfaction in emerging markets: The case of Chinese online shoppers. Competitiveness Rev.: Internat. Bus. J. 21(2):224–237.Crossref, Google Scholar
- (2013) Editorial preface the World IT project: A program on international research and call for participation. J. Global Inform. Tech. Management 16(2):1–5.Crossref, Google Scholar
- (2007) Adoption of mobile technologies for Chinese consumers. J. Electronic Commerce Res. 8(3):196–206.Google Scholar
- (1976) An investigation of perceived risk at the brand level. J. Marketing Res. 2(13):184–188.Crossref, Google Scholar
- (2013) Barriers and drivers for non-shoppers in B2C e-commerce: A latent class exploratory analysis. Comput. Human Behav. 29(2):314–322.Crossref, Google Scholar
- (2011) Predicting secondary school teachers’ acceptance and use of a digital learning environment: A cross-sectional study. Comput. Human Behav. 27(1):568–575.Crossref, Google Scholar
- (2009) Why do shoppers abandon shopping carts? Perceived waiting time, risk and transaction inconvenience. J. Product Brand Management 18(3):188–197.Crossref, Google Scholar
- (2012) Consumer trust in food retailers: Conceptual framework and empirical evidence. Internat. J. Retail Distribution Management 40(4):254–272.Crossref, Google Scholar
- (2014) Online drivers of consumer purchase of website airline tickets. J. Air Transport Management 32(September):58–64.Google Scholar
- (1983) Diffusion of Innovations (Free Press, New York).Google Scholar
- (2007) A conceptual model of trust in online environment. Online Inform. Rev. 31(5):604–621.Crossref, Google Scholar
- (2014) The role of social influence and consumer’s effort expectancy in online shopping: An empirical study in India. Internat. J. Management Res. Bus. Strategy 3(1):138–158.Google Scholar
- (2007) A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Inform. Management 44(1):90–103.Crossref, Google Scholar
- (2014) Ethical perspectives on e-commerce: An empirical investigation. Internet Research 24(4):414–435.Crossref, Google Scholar
- (2011) Is cash on delivery the catalyst for e-tailing in India? Accessed April 30, 2015, http://www.nextbigwhat.com/cash-on-delivery-the-catalyst-for-e-tailing-in-india-297/.Google Scholar
- (2001) Consumer perceived value: The development of a multiple item scale. J. Retailing 77(2):203–220.Crossref, Google Scholar
- (1995) Understanding information technology usage: A test of competing models. Inform. Systems Res. 6(2):144–176.Link, Google Scholar
- (2015) Analyzing deterrents to online retailing: A study of users and non-users in India. Global Bus. Management Res.: Internat. J. 7(4):21–41.Google Scholar
- (2016) Customer satisfaction using website functionality, perceived usability and perceived usefulness towards online shopping in India. Inform. Development 32(5):1657–1673.Crossref, Google Scholar
- (2015) A study on the impact of consumer risk perception and innovativeness on online shopping in India. Internat. J. Retail Distribution Management 43(2):148–166.Crossref, Google Scholar
- (2010) A cross-national investigation of an extended technology acceptance model in the online shopping context. Internat. J. Retail Distribution Management 38(10):742–759.Crossref, Google Scholar
- (2004) User acceptance of hedonic information systems. MIS Quart. 28(4):695–704.Crossref, Google Scholar
- (2012) Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quart. 36(1):157–178.Crossref, Google Scholar
- (2003) User acceptance of information technology: Towards a unified view. MIS Quart. 27(3):425–478.Crossref, Google Scholar
- (2003) Etailq: Dimensionalizing, measuring and predicting etail quality. J. Retailing 79(3):183–198.Crossref, Google Scholar
- (2013) Internet payment behavior in Austria. Monetary Policy Econom. 13(3):29–41.Google Scholar
- (2013) An application of UTAUT model for online shopping acceptance in Iran. Reef Resources Assessment Management Tech. Paper 38(5):237–244.Google Scholar
- (2013) Assessing the moderating effect of consumer product support systems. Decision Support Systems 55(4):883–893.Crossref, Google Scholar
- (2012). Dimensions of consumers’ perceived risk and their influences on online consumers’ purchasing behaviour. Comm. Inform. Sci. Management Engrg. 2(7):8–14.Google Scholar
- (2012) Examining location-based services usage from the perspectives of UTAUT and privacy risk. J. Electronic Commerce Res. 13(2):135–144.Google Scholar
- (2010) Integrating TTF and UTAUT to explain mobile banking user adoption. Comput. Human Behav. 26(4):760–767.Crossref, Google Scholar

