A mindful product acceptance model

References

• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11–39). Berlin Heidelberg: Springer.
   Google Scholar
• Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, N.J: Prentice-Hall.
   Google Scholar
• Boonme, K., Han, B., & Prybutok, V. R. (2016). Group inference: A silent voice for the buyer’s decision-making. Journal of Decision Systems, 25(1), 1–15.
   Web of Science ®Google Scholar
• Bratanova, B., Morrison, G., Fife‐Schaw, C., Chenoweth, J., & Mangold, M. (2013). Restoring drinking water acceptance following a waterborne disease outbreak: The role of trust, risk perception, and communication. Journal of Applied Social Psychology, 43(9), 1761–1770.
   Web of Science ®Google Scholar
• Burlingame, G. A., Dietrich, A. M., & Whelton, A. J. (2007). Understanding the basics of tap water taste. Journal - American Water Works Association, 99(5), 100–111.
   Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. 2016. Community Water Treatment. Access October 20, 2016, available at http://www.cdc.gov/healthywater/drinking/public/water_treatment.html
   Google Scholar
• Chircu, A. M., Davis, G. B., & Kauffman, R. J. (2000). Trust, expertise, and e-commerce intermediary adoption. AMCIS 2000 Proceedings, 405.
   Google Scholar
• Cozar, A., Echevarria, F., Gonzalez-Gordillo, J. I., Irigoien, X., Ubeda, B., Hernandez-Leon, S., … Duarte, C. M. (2014). Plastic debris in the open ocean. Proceedings of the National Academy of Sciences, 111(28), 10239–10244.
   PubMed Web of Science ®Google Scholar
• Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.
   Web of Science ®Google Scholar
• Daigneau, E. (2012). Cities tout municipal tap water as better than bottled,accessMay 20,2016, available at http://www.governing.com/topics/energy-env/gov-cities-tout-municipal-tap-water-as-better-than-bottled.html
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340.
   Web of Science ®Google Scholar
• Doria, M. F. (2006). Journal of water and health. Bottled Water versus Tap Water: Understanding Consumers’ Preferences, 4(2), 271–276.
   Google Scholar
• Duarte Alonso, A., O’neill, M., Liu, Y., & O’shea, M. (2013). Factors driving consumer restaurant choice: An exploratory study from the Southeastern United States. Journal of Hospitality Marketing & Management, 22(5), 547–567.
   Google Scholar
• Egea, J. M. O., & González, M. V. R. (2011). Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors. Computers in Human Behavior, 27(1), 319–332.
   Web of Science ®Google Scholar
• Faqih, K. M. (2013). Exploring the influence of perceived risk and internet self-efficacy on consumer online shopping intentions: Perspective of technology acceptance model. International Management Review, 9(1), 67.
   Google Scholar
• Featherstone, J. D. B. (1999). Prevention and reversal of dental caries: Role of low level fluoride. Community Dentistry and Oral Epidemiology, 27(1), 31–40.
   PubMed Web of Science ®Google Scholar
• Ferrier, C. (2001). Bottled water: Understanding a social phenomenon. AMBIO: A Journal of the Human Environment, 30(2), 118–119.
   Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.
   Web of Science ®Google Scholar
• Galbreth, M. R., & Ghosh, B. (2013). Competition and sustainability: The impact of consumer awareness. Decision Sciences, 44(1), 127–159.
   Web of Science ®Google Scholar
• Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLS-Graph: Tutorial and annotated example. Communications of the Association for Information Systems, 16(1), 5.
   Google Scholar
• Gefen, D., Straub, D., & Boudreau, M. -C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(1), 7.
   Google Scholar
• Gefen, D., & Straub, D. (2003). Managing user trust in B2C e-services. E-Service Journal, 2(2), 7–24.
   Google Scholar
• George, B., & Prybutok, V. (2015). Development of a polar extreme method for use in partial least squares SEM. Quality & Quantity, 49(2), 471–488.
   Web of Science ®Google Scholar
• Gleick, P. (2004). The myth and reality of bottled water (pp. 17–43). Washington, DC: Island Press.
   Google Scholar
• Gleick, P. H., & Cooley, H. S. (2009). Energy implications of bottled water. EnvironmentalResearch Letters, 4(1), 009–014.
   Web of Science ®Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Equation Modeling. Los Angeles, CA: Sage Publications, Inc.
   Google Scholar
• Henn, C. (2016). These 5 Marine Animals Are Dying Because of Our Plastic Trash … Here’s How We Can Help, access October 20, 2016, available at http://www.onegreenplanet.org/animalsandnature/marine-animals-are-dying-because-of-our-plastic-trash/
   Google Scholar
• Hu, Z., Morton, L. W., & Mahler, R. L. (2011). Bottled water: United States consumers and their perceptions of water quality. International Journal of Environmental Research and Public Health, 8(2), 565–578.
   PubMed Web of Science ®Google Scholar
• Jambeck, J. R., Geyer, R., Wilcox, C., Siegler, T. R., Perryman, M., Andrady, A., … Law, K. L. (2015). Plastic waste inputs from land into the ocean. Science, 347(6223), 768–771.
   PubMed Web of Science ®Google Scholar
• Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23, 183–213.
   Web of Science ®Google Scholar
• Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564.
   Web of Science ®Google Scholar
• Kim, J. B. (2012). An empirical study on consumer first purchase intention in online shopping: Integrating initial trust and TAM. Electronic Commerce Research, 12(2), 125–150.
   Web of Science ®Google Scholar
• King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740–755.
   Web of Science ®Google Scholar
• Lalumandier, J. A. (2000). Fluoride and bacterial content of bottled water vs tap water. Archives of Family Medicine, 9(3), 246–250.
   PubMedGoogle Scholar
• Landry, B. J. L., Griffeth, R., & Hartman, S. (2006). Measuring student perceptions of blackboard using the technology acceptance model. Decision Sciences Journal of Innovative Education, 4(1), 87–99.
   Google Scholar
• Marangunić, N., & Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81–95.
   Web of Science ®Google Scholar
• Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1–13.
   Web of Science ®Google Scholar
• McAvoy, J., & Butler, T. (2009). Project post-mortems mindless mismanagement of agreement. Journal of Decision Systems, 18(1), 53–73.
   Google Scholar
• Mu, E., & Butler, B. S. (2009). The assessment of organizational mindfulness processes for the effective assimilation of IT innovations. Journal of Decision Systems, 18(1), 27–51.
   Google Scholar
• Neufeld, L., Stassen, F., Sheppard, R., & Gilman, T. (2016). The New Plastics Economy: Rethinking the Future of Plastics. In World Economic Forum. Retrieved from http://www3.weforum.org/docs/WEF_The_New_Plastics_Economy.pdf.
   Google Scholar
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory. New York, NY: Mcgraw-Hill, Inc.
   Google Scholar
• Olkin, I., & Finn, J. D. (1995). Correlations redux. Psychological Bulletin, 118(1), 155–164.
   Web of Science ®Google Scholar
• Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134.
   Web of Science ®Google Scholar
• Raghunathan, R., Naylor, R. W., & Hoyer, W. D. (2006). The unhealthy= tasty intuition and its effects on taste inferences, enjoyment, and choice of food products. Journal of Marketing, 70(4), 170–184.
   Web of Science ®Google Scholar
• Raj, S. D. (2005). Bottled water: How safe is it?. Water Environment Research, 77(7), 3013–3018.
   PubMed Web of Science ®Google Scholar
• Reimann, C., Birke, M., & Filzmoser, P. (2010). Bottled drinking water: Water contamination from bottle materials (glass, hard PET, soft PET), the influence of colour and acidification. Applied Geochemistry, 25(7), 1030–1046.
   Web of Science ®Google Scholar
• Reynold, J., & Santos, A. (1999). Cronbach’s Alpha: A tool for assessing the reliability of scales. The Journal of Extension, 37(7), 35–36.
   Google Scholar
• Saylor, A., Prokopy, L. S., & Amberg, S. (2011). What’s wrong with the tap? Examining perceptions of tap water and bottled water at Purdue University. Environmental Management, 48(3), 588–601.
   PubMed Web of Science ®Google Scholar
• Schriever, N. (2013). Plastic Water Bottles Causing Flood of Harm to Our Environment, accessJune 20,2016, available at http://www.huffingtonpost.com/norm-schriever/post_5218_b_3613577.html
   Google Scholar
• Scott, R. A., George, B. T., & Prybutok, V. R. (2016). A public transportation decision‐making model within a metropolitan area. Decision Sciences, 47, 1048–1072.
   Web of Science ®Google Scholar
• Simpson, J.A. (2007). Psychological foundations of trust. Current Directions in Psychological Science, 16(5), 264–268.
   Web of Science ®Google Scholar
• Siskos, P., & Capros, P. (2015). Restructuring transport sector towards sustainability: Infrastructure and market prospects of alternative fuels in EU transportation. International Journal of Decision Support Systems, 1(2), 210–227.
   Google Scholar
• Team, T. (June 2015). Bottled water is a potential growth category that can’t be ignored, accessMay 20, 2016, available at http://www.forbes.com/sites/greatspeculations/2015/06/26/bottled-water-is-a-potential-growth-category-that-cant-be-ignored/#527245ea3a42
   Google Scholar
• Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315.
   Web of Science ®Google Scholar
• Venkatesh, V., & Davis, F.D. (2000). A theoretical extension of the technology acceptance model:Four longitudinal field studies. Management Science, 46(2), 186–204.
   Web of Science ®Google Scholar
• Wansink, B. (2006). Mindless Eating: Why We Eat More Than We Think. New York: Bantam.
   Google Scholar
• Weber, E. U., & Johnson, E. J. (2009). Mindful judgment and decision making. Annual Review of Psychology, 60, 53–85.
   PubMed Web of Science ®Google Scholar
• Werts, C. E., Linn, R. L., & Jöreskog, K. G. (1974). Intraclass reliability estimates: Testing structural assumptions. Educational and Psychological Measurement, 34(1), 25–33.
   Web of Science ®Google Scholar
• Wu, J. J., Lien, C. H., Mohiuddin, M., Chien, S. H., & Yang, X. J. (2016). The effects of smartphone users’ core self-evaluations and stickiness on intentions to download free social media apps. Journal of Decision Systems, 25(3), 263–272.
   Web of Science ®Google Scholar
• Xiu, D., & Liu, Z. (2005, September). A formal definition for trust in distributed systems. In International Conference on Information Security (pp. 482–489). Springer Berlin Heidelberg.
   Google Scholar
• Zamberlan Da Silva, M. E. Z., Santana, R. G., Guilhermetti, M., Camargo Filho, I., Endo, E. H., Ueda-Nakamura, T., … Dias Filho, B. P. (2008). Comparison of the bacteriological quality of tap water and bottled mineral water. International Journal of Hygiene and Environmental Health, 211(5–6), 504–509.
   PubMed Web of Science ®Google Scholar