甘志展和李明聰 (2008)「消費者對食品安全議題之風險認知與其消息來源可靠度之研究」,食品市場資訊,第97卷第4期,頁 1-10。
林文寶、楊淑斐(2005)「影響線上學習市場使用意向模式建構之研究-模糊類神經網路方式法應用」,中山管理評論,第13卷第2期,頁721-748。
徐于婷(99)「認知風險、認知可信賴度、信任、認知易用性、 認知有用性對線上拍賣消費者購買意圖之影響」,國立成功大學企業管理系碩士在職專班碩士論文。張彙新(2013)「消費者對健康食品的認知程度、消費態度及行為之相關性」,元智大學管理碩士在職專班論文。莊豐州(2011),「以科技接受模式探討國小教師使用多功能e化數位教室於教學之意向研究」,國立屏東科技大學數位學習教學碩士學位學程碩士論文。郭裕元(102)「以科技接受模式探討影響消費者使用智慧電動車意圖之要素」,國立成功大學工學院工程管理碩士在職專班碩士論文。黃世浩(2017),「以科技接受模式探討手機餐飲應用程式消費行為」,台北海洋技科技大學食品科技與行銷系運動休閒餐旅研究論文。
黃淑宜(2004)「現金卡服務便利性對服務品質影響之研究」,大葉大學工業關係所研究碩士論文。
蕭芸殷(1998),生態旅遊遊客特質之研究,中興大學園藝學研究所未出版之碩士論文。
陈怀冰(2010)「冷藏药品冷链各环节温度监测技术的应与存在的问题探讨」
Accorsi, R., Gallo, A., Manzini, R., 2017. A climate driven decision-support model for the distribution of perishable products. J. Clean. Prod. pp. 165, pp. 917–929.
Ailawadi, K. L., Neslin, S. A., & Gedenk, K. (2001). Pursuing the value-conscious consumer: store brands versus national brand promotions. Journal of marketing, 65(1), pp. 71-89.
Berry, L. L., Seiders, K. & Grewal, D.(2002), “Understanding Service Convenience, “Journalof Marketing, Vol. 66
(3), 1-17.
Bogataj, M., Bogataj, L., Vodopivec, R., 2005. Stability of perishable goods in cold logistic chains. Int. J. Prod. Econ. pp. 93–94, pp. 345–356.
Cheong, J. H., & Park, M. C. (2005). Mobile internet acceptance in Korea. Internet Research: Electronic Networking Applications and Policy, 15(2), 125-140. doi: 10.1108/10662240510 590324
Davis, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Sloan School of Management, MIT.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), pp. 319-339.
Davis, F. D., Bagozzi, R., and Warshaw, P. R. (1989), "User acceptance of computer technol- ogy: A comparison of two theoretical models," Management Science, 35(8), 982-1003
Dickson, M. A. (2001), ‘‘Utility of No Sweat Labels for Apparel Consumers: Profiling Label Users and Predicting their Purchases,’’ The Journal of Consumer Affairs 35(1), pp. 96–119.
Dishaw, M. T., and Strong, D. M. (1999), "Extending the technology acceptance model with task-technology fit constructs," Information & Management, 36(1), pp. 9-21.
Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer behavior(8rd ed.), Fort Worth, TX: The Dryden Press.
Engel,J.F.,Blackwell,R.D.&Miniard,P.W.(1995). Consumer Behavior(8th ed.).
Chicago:Dryden
Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Fred D Davis(1993),”User acceptance of information technology: system characteristics, user perceptions, and behavioral impacts.” International Journal of Man-Machine Studies, 38 (3) pp.475-487.
Grewal, D., Hardesty, D. M., & Iyer, G. R., (2004), "The Effect of Buyer Identification and Purchase Timing on Consumers’ Perceptions of Trust, Price Fairness, and Repurchase Intentions", Journal of Interactive Marketing, Vol. 18(4), 87-100.
Hertog, M. L. A. T. M., Uysal, I., McCarthy, U., Verlinden, B. M., & Nicolaï, B. M. (2014). Shelf life modelling for first-expired-first-out warehouse management. Philo- sophical transactions royal society A: Mathematical. Physical and Engineering Sciences, 372, 20130306.
Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478.
Johnson,E.J.,&Russo,J.E.(1984).Product familiarity and learning new information.
Journal of consumer research,11(1):542-550.
Kitinoja, L. (2013), “Use of cold chains for reducing food losses in developing countries”, Population, Vol. 6 No. 1.23, pp. 5-60
Malhotra, N. K. (1993).Marketing research: An applied orientation, Englewood Cliffs,
New Jersey:Prentice-Hall.
Mathieson, K., Peacock, E. & Chin, W. W. (2001). Extending the technology acceptance
model: The influence of perceived user resources. The DATA BASE for Advances in
Information Systems, pp. 32(3), pp. 86-112.
Monroe, Kent, B. (1990). Pricing: Making Profitable Decisions. NY: McGraw-Hill.
Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217-230. doi: 10.1016/s0378-7206(00)00061-6
Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. The Journal of Marketing, 58(1), 20-38.
Myers,J.H.,&Reynolds,W.H.(1967). Consumer behavior and marketing management,
Houghton Mifflin: Boston.
Raab, V. (2011), “Assessment of novel temperature monitoring systems for improving cold chain management in meat supply chains”, PhD dissertation, Institut für Tierwissenschaften.
Rao,A.R.,&Sieben,W.A.(1992).The effect of prior knowledge on price acceptability and the type of information examined.Journal of Consumer Research,19(2):256-270.
Shabani, A., Saen, R.F. and Torabipour, S.M.R. (2012), “A new benchmarking approach in cold chain”, Applied Mathematical Modelling, Vol. 36 No. 1, pp. 212-224.
Shepherd, T.(2000), Dinner os served? Lipids as ecological markers in Plant Pest Predator interactions.Scottish Lipid Discussion Group 32nd Meeting, (15 June 2000),University of stirling.
Sheppard, B. H., J. Hartwick, and P. R. Warshaw, "The theory of reasoned action: A meta analysis of past research with recommendation for modifications in future research," Journal of Consumer Research, 15, No. 3, pp.325-343., 1998
Shibata, Y. (2016), “Cold chain trends”, Appliance Design, Vol. 64 No. 2, pp. 14-26.
Sterling, D.M. (2012), “Cold chain management tools: assessments and audits”, Food Logistics, Vol. 136 No. 1, pp. 12-25.
Stringer, M.F. and Hall, M.N. (2007), “A generic model of the integrated food supply chain to aid the investigation of food safety breakdowns”, Food Control, Vol. 18 No. 7, pp. 755-765.
Taylor, S. and Todd, P. A., 1995, “Understanding Information Technology Usage: A Test of Competing Models", Information Systems Research, 6(2), 144-176.
Tuorila,H.(1997).Attitudes as determinants of food consumption.Encyclopedia of Human Biology,1:599-606
Van der Heijden, H. (2003), ‘Factors influencing the usage of websites: the case of a generic portal in The Netherlands’, Information & Management, Vol. 40, No. 6, pp. 541-549.
Van der Heijden, H., (2003), Factors Influencing the Usage of Websites: The Case of a Generic Portal in the
Netherlands, Information & Management, Vol. 40(6), pp. 541-549.
Van Doorn, J., & Verhoef, P. C. (2015). Drivers of and barriers to organic purchase behavior. Journal of Retailing, 91(3), 436-450
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Venkatesh, V., and Davis, F. D. (1996), "A model of the antecedents of perceived ease of use: Development and test," Decision Sciences, 27(3), 451-481.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of
Venkatesh, V.,R. Agarwal, "Turning Visitors into Customers: A Usability-Centric Perspective on Purchase Behavior in Electric Channels". Management Science, 52(3), 367-382, 2006.
Verbeke, W. (2005), ‘‘Agriculture and the Food Industry in the Information Age,’’ European Review of Agricultural Economics 32, pp. 347–368.
Vermeir, Iris and Wim Verbeke (2006), “Sustainable Food Consumption: Exploring the Consumer ‘Attitude–Behavioral Intention’ Gap,” Journal of Agricultural and Environmental Ethics, 19, 169–94.
Wu, J. H., and Wang, S. C. (2005), "What drives mobile commerce? An empirical evaluation of the revised technology acceptance model," Information & Management, 42(5), pp. 719-729.