Perception, acceptance and willingness of older adults in Malaysia towards online shopping: a study using the UTAUT and IRT models

• Abdulaziz E (2017) Growth of e-commerce in MALAYSIA: a case analysis of Lazada Group and Zalora Malaysia. Master thesis, International Islamic University Malaysia

• Akbar F (2013) What affects students’ acceptance and use of technology? A test of UTAUT in the context of a higher-education institution in Qatar. Senior Honors thesis, pp 1–30

• Al-Gahtani SS, Hubona GS, Wang J (2007) Information technology (IT) in Saudi Arabia: culture and the acceptance and use of IT. Inf Manag 44:681–691

  Article  Google Scholar 

• Ariff MS, Sylvester M, Zakuan N, Ismail K, Ali KM (2014) Consumer perceived risk, attitude and online shopping behaviour; empirical evidence from Malaysia. Mater Sci Eng 58:012007

  Google Scholar 

• Attuquayefio SN, Addo H (2014) Using the UTAUT model to analyze students’ ICT adoption. Int J Educ Dev Using Inf Commun Technol (IJEDICT) 10(3):75–86

  Google Scholar 

• Birch A, Irvine V (2009) Preservice teachers’ acceptance of ICT integration in the classroom: applying the UTAUT model. Educ Media Int 46:295–315

  Article  Google Scholar 

• Chan MY, Chong EKY, Kwa SY, Lee KW, Yeong WF (2015) Barriers of mobile commerce adoption among generation X in Malaysia. Universiti Tunku Abdul Rahman, Malaysia

• Chen CC (2014) RFID-based intelligent shopping environment: a comprehensive evaluation framework with neural computing approach. Neural Comput Appl 25(7–8):1685–1697

  Article  Google Scholar 

• Ecommerce for the Elderly (2016) Ecommerce guide. https://ecommerceguide.com/guides/older-shopper/. Accessed 15 Sept 2018

• Ferreira MB (2016) Measuring consumer perceptions of online shopping convenience. Doctoral dissertation, Repositório Institucional da Universidade Católica Portuguesa

• Gbongli K, Xu Y, Amedjonekou KM (2019) Extended Technology Acceptance Model to predict mobile-based money acceptance and sustainability: a multi-analytical structural equation modeling and neural network approach. Sustainability 11:3639–3671

  Article  Google Scholar 

• Ghalandari K (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 12:801–807

  Google Scholar 

• Göğüş A, Nistor N, Lerche T (2012) Educational technology acceptance across cultures: a validation of the unified theory of acceptance and use of technology in the context of Turkish National Culture. TOJET Turk Online J Educ Technol 11(4):394–408

  Google Scholar 

• Ifinedo P (2012) Technology acceptance by health professionals in Canada: an analysis with a modified UTAUT model. In: 2012 45th Hawaii international conference on system sciences, pp 2938–2946

• Im I, Hong S, Kang MS (2011) An international comparison of technology adoption: testing the UTAUT model. Inf Manag 48:1–8

  Article  Google Scholar 

• Internet Users Survey 2017 (2017) Malaysian communications and multimedia commission. https://www.mcmc.gov.my/skmmgovmy/media/General/pdf/MCMC-Internet-Users-Survey-2017.pdf. Accessed 15 Sept 2018

• Joshi R, Gupte R, Saravanan P (2018) A random forest approach for predicting online buying behaviour of Indian customers. Theor Econ Lett 8:448–475

  Google Scholar 

• Kuisma T, Laukkanen T, Hiltunen M (2007) Mapping the reasons for resistance to internet banking: a means-end approach. Int J Inf Manag 27:75–85

  Article  Google Scholar 

• Laukkanen T, Sinkkonen S, Kivijärvi M, Laukkanen P (2007) Innovation resistance among mature consumers. J Consum Market 24:419–427

  Article  Google Scholar 

• Leong LY, Hew TS, Ooi KB, Lee VH, Hew JJ (2019) A hybrid SEM-neural network analysis of social media addiction. Expert Syst Appl 133:296–316

  Article  Google Scholar 

• Lesakova D (2016) Seniors and their food shopping behavior: an empirical analysis. Soc Behav Sci 220:243–250

  Article  Google Scholar 

• Lescevica M, Ginters E, Mazza R (2013) Unified theory of acceptance and use of technology (UTAUT) for market analysis of FP7 CHOReOS products. Proced Comput Sci 26:51–68

  Article  Google Scholar 

• Lian J-W, Yen DC (2014) Online shopping drivers and barriers for older adults: age and gender. Comput Hum Behav 37:133–143

  Article  Google Scholar 

• Lian J-W, Liu H-M, Liu I-L (2012) Applying innovation resistance theory to understand user acceptance of online shopping: the moderating effect of different product types. Comput Technol Appl 3:188–193

  Google Scholar 

• Lignell A (2014) Older consumers’ adoption of online shopping. Thesis, Lappeenranta University of Technology

  Google Scholar 

• Lim CC, Lim XC, Ng SN, Ng WX, Tan YJ (2013) Consumer resistance to mobile banking services: an empirical study among baby boomers in Malaysia urban areas. Universiti Tunku Abdul Rahman, Malysia

• Mohtar SB, Abbas M (2015) Factors influencing consumer resistance to innovation (Smartphone). Middle East J Sci Res 23:1390–1394

  Google Scholar 

• National e-Commerce Strategic Roadmap Overview (2014) MITI Malaysia. http://www.miti.gov.my/miti/resources/Gallery_Walk.pdf. Accessed 15 Sept 2018

• Nee EA (2017) Malaysia at the cusp of e-commerce boom. The Sun Daily, Kuala Lumpur

  Google Scholar 

• Ooi KB, Tan GWH (2016) Mobile technology acceptance model: an investigation using mobile users to explore smartphone credit card. Expert Syst Appl 59:33–46

  Article  Google Scholar 

• Paynter J, Lim J (2001) Drivers and impediments to e-commerce in Malaysia. Malay J Lib Inf Sci 6:1

  Google Scholar 

• Rahman MM (2013) Barriers to M-commerce adoption in developing countries—a qualitative study among the stakeholders of Bangladesh. Int Technol Manag Rev 3:80–91

  Article  Google Scholar 

• Rahman MS, Hussain B (2014) Perceptual differences of older customers’ to purchase from online: Malaysian perspective. Int J Bus Soc 15:171–190

  Google Scholar 

• Ram S (1987) A model of innovation resistance. Adv Consum Res 14:208–212

  Google Scholar 

• Ram S, Sheth JN (1989) Consumer resistance to innovations: the marketing problem and its solutions. J Consum Market 6:5–14

  Article  Google Scholar 

• Salari N (2014) Development and validation of the innovation resistance model across Middle Eastern Countries. Doctoral dissertation, University of Birmingham

• Samsudin JB, Ahmad SB (2014) Online shopping perception among Malaysian. J Technol Manag Bus 14:65–66

  Google Scholar 

• Shen C, Zhou L, Lin S (2014) Older adults’ online shopping behavior in China. In: International conference on cross-cultural design, pp 482–488

  Chapter  Google Scholar 

• Thomas TD, Singh L, Gaffar K (2013) The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. Int J Educ Dev Using Inf Commun Technol (IJEDICT) 9(3):71–85

  Google Scholar 

• Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q 27(3):425–478

  Article  Google Scholar 

• Venkatesh V, Sykes TA, Zhang X (2011) ‘Just what the doctor ordered’: a revised UTAUT for EMR system adoption and use by doctors. In: Proceedings of the 44th Hawaii international conference on system sciences—2011, pp 1–10

• Vincent (2016) 5 reasons many seniors are afraid of the internet (and what you can do to help). Emsisoft Blog. https://blog.emsisoft.com/2016/04/21/5-reasons-many-seniors-are-afraid-of-the-internet-and-what-you-can-do-to-help/. Accessed 15 Sept 2018

• Wang X, Yan X, Ma Y (2018) Research on user consumption behavipus prediction based on improved XGBoost algorithm. In: Proceedings of the IEEE international conference on big data, pp 1–6

  Google Scholar 

• Williams MD, Rana NP, Dwivedi YK (2015) The unified theory of acceptance and use of technology (UTAUT): a literature review. J Enterp Inf Manag 28(3):443–448

  Article  Google Scholar 

• Wong C (2017) e-Commerce penetration in Malaysia is now 5% of retail sales (2017f). EC insider. http://www.ecinsider.my/2017/03/ecommerce-penetration-malaysia-is-5pct-of-retail-sales.html. Accessed 15 Sept 2018

• Yeganegi R, Elias NF (2016) Measuring the user acceptance on online hypermarket shopping system based on UTAUT model. Int J Manag Appl Sci 2(2):6–9

  Google Scholar 

• Yoon C, Cole CA (2008) Aging and consumer behavior. Springer, New York

  Google Scholar 

• Yuan E (2012) Taiwan digital divide report 2012. In: Research, development and evaluation commission

• Zhan Y, Wang P, Xia S (2011) Exploring the drivers for ICT adoption in government organization in China. In: 2011 Fourth international conference on business intelligence and financial engineering (BIFE)

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