[Antioco, M., Kleijnen, M., (2010), Consumer adoption of technological innovations: Effects of psychological and functional barriers in a lack of content versus a presence of content situation. European Journal of Marketing, Vol. 44, no. 11/12, pp. 1700-24.10.1108/03090561011079846]Search in Google Scholar
[Antón, C., Camarero, C., Rodríguez, J., (2013), Usefulness, enjoyment, and self-image congruence: The adoption of e-book readers. Psychology and Marketing, Vol. 30, no. 4, pp. 372-84.10.1002/mar.20612]Search in Google Scholar
[Balachandra, R., John, F.H., (1997), Factors for success in R&D projects and new product innovation: A contextual framework, IEEE Transactions on Engineering Management, pp. 276-287.10.1109/17.618169]Open DOISearch in Google Scholar
[Castellion, G., Markham, S. K., (2013), Perspective: new product failure rates: influence of argumentum ad populum and self-interest. Journal of Product Innovation Management, Vol. 30, no. 5, pp. 976-979.10.1111/j.1540-5885.2012.01009.x]Search in Google Scholar
[Claudy, M., (2011), An empirical investigation of consumer resistance to green product innovation. Doctoral thesis, Dublin Institute of Technology, Dublin.]Search in Google Scholar
[Cornescu, V., Adam, R., (2013), The Consumer Resistance Behaviour towards Innovation. Procedia Economics and Finance, no. 6, pp. 457-465.10.1016/S2212-5671(13)00163-9]Search in Google Scholar
[Cortina, J.M., (1993), What is Coefficient Alpha: An Examination of Theory and Applications? Journal of Applied Psychology, no.78, pp. 98-104.10.1037/0021-9010.78.1.98]Open DOISearch in Google Scholar
[Druică, E., (2018), Research Methods in Behavioural and Experimental Economics. Exploratory Factor Analysis [Lecture].]Search in Google Scholar
[Druică, E., Druică, I., Ianole, R., Sandu, M., (2011), Statistică pe înțelesul tuturor. Editura C.H. Beck: Bucureşti.]Search in Google Scholar
[Fuller, B.K., Blackwell, S.C., (1992), Wardrobe consultant clientele: Identifying and describing three market segments. Clothing and Textiles Research Journal, Vol. 10, no. 2, pp. 11-17.10.1177/0887302X9201000202]Search in Google Scholar
[Garcia, R., Bardhi, F., Friedrich, C., (2007), Overcoming consumer resistance to innovation. MIT Sloan Management Review, Vol. 48, no. 4, pp. 82-88.]Search in Google Scholar
[Hapenciuc, V., (2015), Procedee de eşantionare aplica în cercetarea pieței şi administrarea eficientă a afacerilor. Retrieved from Universitatea Ștefan cel Mare din Suceava: http://www.seap.usv.ro/~valentinh/capitol%203.pdf.]Search in Google Scholar
[Henderson, R., Clark, K., (1990), Architectural Innovation: The Reconfiguration of Existing Product Technologies and the Failure of Established Firms. Administrative Science Quarterly, Vol. 35, no. 1, pp. 9-30.10.2307/2393549]Search in Google Scholar
[Hox, J., Bechger, T., (1999), An Introduction to Structural Equation Modelling. Family Science Review, no. 11, pp. 354-373.]Search in Google Scholar
[Kahneman, D., Tversky, A., (1979), Prospect theory: An analysis of decision under risk. Econometrica, no. 47, pp. 263-91.10.2307/1914185]Search in Google Scholar
[Kleijen, M., Lee, N.J., Wetzels, M., (2009), An exploration of consumer resistance to innovation and its antecedents. Journal of Economic Psychology, Vol. 30, no. 3, pp. 344-357.10.1016/j.joep.2009.02.004]Open DOISearch in Google Scholar
[Kline, R.B., (2016), Principles and Practice of Structural Equation Modelling. Fourth Edition. The Guilford Press: New York.]Search in Google Scholar
[Kline, S.J., Rosenberg, N., (1986), An Overview of Innovation.]Search in Google Scholar
[MacCallum, R.C., Widaman, K.F., Zhang, S.B., Hong, S.H., (1999), Sample size in factor analysis. Psychological Methods, Vol. 4, no. 1, pp. 84-99.10.1037/1082-989X.4.1.84]Search in Google Scholar
[Marsh, H. W., Hau, K.T., Wen, Z., (2004), In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing. Hu and Bentler's Findings (1999). Structural Equation Modelling, Vol. 11, no. 3, pp. 320-341.10.1207/s15328007sem1103_2]Search in Google Scholar
[Nabih, M.I., Bloem, J.G., Poiesz, T.B.C., (1997), Conceptual issues in the study of innovation adoption behaviour. Advances in Consumer Research, Vol. 24, no.1, pp. 190-96.]Search in Google Scholar
[Osborne, W.J., (2014), Best Practices in Exploratory Factor Analysis. Scotts Valley, CA: CreateSpace Independent Publishing.]Search in Google Scholar
[Patsiotis, A. G., Hughes, T., Webber, D.J., (2013), An examination of consumers’ resistance to computer-based technologies. Journal of Services Marketing, Vol. 27, no. 4, pp. 294-311.10.1108/08876041311330771]Open DOISearch in Google Scholar
[Ram, S., (1987), A model of innovation resistance. Advances in Consumer Research, Vol. 14, no.1, pp. 208-12.]Search in Google Scholar
[Ram, S., Sheth, N.J., (1989), Consumer Resistance to Innovations: The Marketing Problem and its solutions. Journal of Consumer Marketing, Vol. 6, no. 2, pp. 5-14.10.1108/EUM0000000002542]Search in Google Scholar
[Revelle, W., (2018), psych: Procedures for Personality and Psychological Research, Northwestern University, Evanston, Illinois, USA, https://cran.r-project.org/web/packages/psych/ Version = 1.8.12.]Search in Google Scholar
[Rogers, E. M., (2003), Diffusion of innovations. NewYork: The Free Press.]Search in Google Scholar
[Schumpeter, J., (1934), The Theory of Economic Development, Harvard University Press, Cambridge, Massachusetts.]Search in Google Scholar
[Sheth, J.N., (1981), Innovation resistance. The less developed concept (LDC) in diffusion research. Research Vol. 4, pp. 273-82.]Search in Google Scholar
[Stryja, C., Satzger, G., (2018), Digital nudging to overcome cognitive resistance in innovation adoption decisions. The Service Industries Journal.10.1080/02642069.2018.1534960]Search in Google Scholar
[Talke, K., Heidenreich, S., (2014), How to Overcome Pro-Change Bias. The Journal of Product Innovation Management, Vol. 31, no. 4, pp. 894-907.10.1111/jpim.12130]Search in Google Scholar
[Tomarken, A., Waller, G.N., (2005), Structural Equation Modelling: Strengths, Limitations, and Misconceptions. Annual review of clinical psychology. Vol. 1, pp. 31-65.10.1146/annurev.clinpsy.1.102803.144239]Search in Google Scholar
[Yves, R., (2012), lavaan: An R Package for Structural Equation Modelling. Journal of Statistical Software, Vol. 48, no. 2, pp. 1-36. URL: https://www.jstatsoft.org/article/view/v048i02.10.18637/jss.v048.i02]Search in Google Scholar