Title

線上消費者對詐欺事件認知風險之腦影像研究 - 以二手商品拍賣詐欺事件為例

Translated Titles

fMRI Research of Perceived Risk On Online Consumer Fraud Events-Second-Hand Products On Fraud Events

Authors

許耀峯

Key Words

知覺品質 ; 認知風險 ; SOR理論 ; fMRI ; 二手線上拍賣 ; perceived quality ; perceived risk ; SOR theory ; fMRI ; second-hand online auction

PublicationName

成功大學資訊管理研究所學位論文

Volume or Term/Year and Month of Publication

2016年

Academic Degree Category

碩士

Advisor

謝佩璇

Content Language

英文

Chinese Abstract

隨著網路越來越發達,以及手持裝置的盛行,消費者的購物行為已有了很大的改變,另外,隨著4G的時代來臨,行動購物在電子商務市場逐漸在市場占據重要的地位。消費者在線上購物的時候,很多時候因為資訊的不對稱以及網路的匿名性還有買賣雙方彼此信任,而受到詐欺。從二手商品的購買意圖來看,消費者主要購買動機有價格、實用、品牌、安全四項動機,其中價格是影響消費者最大的動機,上述的四項動機,可以將其對應到知覺品質(Perceived Quality)的商品屬性(外部線索)與商品價值(內在線索)。本研究以S-O-R(Stimulate-Organism-Response)理論為基礎,透過商品的知覺品質屬性以及價值,還有平台風險的刺激,本研究觀察消費者在不同的刺激之下,觀察消費者是否願意購買。在過去認知風險的文獻中,主要是針對買賣雙方交易的風險來看,並無特別針對線上拍賣平台探討消費者認知的交易風險,所以本研究值得針對不同拍賣平台的功能探討消費者可能面臨的認知風險,並且影響其購買意願的情形。本研究使用fMRI技術探討與詐欺相關的腦區活化情形,當消費者面對兩種詐欺可能發生情境下(認知具有低交易風險的平台、高知覺品質的商品;高交易風險的平台、高知覺品質的商品),觀察其購買商品意圖,包括確認與詐欺相關的腦區及風險決策時腦部神經元活動狀況。根據過去文獻,本研究假設腦島(Insula)跟前額葉皮層(DLPFC)以及前扣帶皮層(ACC)在認知到平台具有高交易風險,或者商品具有低知覺品質的情境,會有較高活化反應產生。此外,根據完形心理學的研究都和人的知覺有關,它提供了各種以知覺為主的解釋,完形的理論發展已近一百年,直至目前學者所研究的知覺原則已超過一百個,但本研究僅討論整體與局部,因為此原則與人的視覺感知之關係比較密切,並且跟本研究探討平台的認知風險與賣家風險的(局部刺激)以及商品知覺品質(局部刺激)兩者結合形成一個整體的詐欺情境,看在不同情境下實驗參與者是否感受為詐欺的情形。 本研究的結果發現,當參與者在詐欺情境時,背外側前額葉(DLPFC) 、中央後迴(Postcentral Gyrus) 、顳上回(Superior Temporal Gyrus)及前扣帶皮層(ACC)皆產生活化的反應,此外當消費者在高風險情境時,參與者的腦島(Insula)、頂葉上迴(Superior Frontal Gyrus)、額下迴(Inferior Frontal Gyrus),皆有顯著的反應。

English Abstract

With the rapid development of the Internet and the prevalence of hand-held devices, consumer shopping behavior has continued to evolve. In addition, with the 4G era, mobile shopping gradually has become the mainstream e-commerce market. Due to information asymmetry, internet anonymity and the need for mutual trust between sellers and buyers, many consumers will possibly be faced with fraud while shopping online. From the second-hand product purchase intent context, consumers purchase motivation can be divided into four main components, including price, practicality, brand, and safety, with price being the most influential factor affecting consumer purchase motivation. The aforementioned motivation can be mapped into perceived quality, which can then be divided into product attributes (external cues) and product value (internal cues). This study is based on S-O-R (Stimulate-Organism-Response) theory. By utilizing the perceived quality properties of product, using value and platform risk as stimuli, this research is intended to observe consumer purchase intention in different situations. Past literature on perceived risk has focused more on trading risk between buyers and sellers and has not specifically discussed consumer awareness of transaction risk on online auction platforms. This research makes use of fMRI technology to observe the activation of certain regions of the brain related to fraud. In our experiment, participants (serving as consumers) will face three types of scenarios during online shopping (low perceived risk of platforms and high perceived quality of products; high perceived risk of platform, and high perceived quality of products). From this experiment, we observe the participants purchase intention and also verify neuronal activation in specific brain areas related to fraud and risk decisions. Based on past literature, we hypothesized Insula, DLPFC and ACC activation to be related either to high perceived risk of platforms or low perceived quality of products. The results of this study indicated that when participants under fraud scenarios, the dorsolateral prefrontal cortex、the anterior cingulate cortex、postcentral gyrus and superior temporal gyrus were activated to produce a reaction. In addition, when consumers in high-risk situations, participants brain Island (Insula), back to the parietal lobe (Superior Frontal Gyrus), the inferior frontal gyrus (Inferior Frontal Gyrus), all produce significant reaction.

Topic Category 管理學院 > 資訊管理研究所
社會科學 > 管理學
Reference
  1. (2006). Dissociable roles of prefrontal and anterior cingulate cortices in
    連結:
  2. deception. Cerebral Cortex, 16(2), 192-199.
    連結:
  3. enhanced perception of emotionally salient events. Nature, 411(6835), 305-309.
    連結:
  4. Ariely, D., &Berns, G. S. (2010).Neuromarketing: the hope and hype of neuroimaging
    連結:
  5. Aron, A. R., Robbins, T. W., &Poldrack, R. A. (2004). Inhibition and the right inferior
    連結:
  6. Bagozzi, R. P. (1986). Principles of marketing management. Chicago, IL: Science
    連結:
  7. Research Associates.
    連結:
  8. Bechara, A., Damasio, H., &Damasio, A. R. (2000). Emotion, decision making and the
    連結:
  9. orbitofrontal cortex. Cerebral cortex, 10(3), 295-307.
    連結:
  10. Bekaert, G., Hoerova, M., &Duca, M. L. (2013). Risk, uncertainty and monetary
    連結:
  11. Ba, S., Whinston, A. B., & Zhang, H. (2003). Building trust in online auction markets
    連結:
  12. Bauer, H. H., Falk, T., &Hammerschmidt, M. (2006).eTransQual: A transaction
    連結:
  13. process-based approach for capturing service quality in online shopping. Journal
    連結:
  14. of Business Research, 59(7), 866-875.
    連結:
  15. Lying about facial recognition: an fMRI study. Brain and cognition,69(2),
    連結:
  16. asymmetric information and heterogeneous prior beliefs. Journal of Empirical Finance, 7(5), 417-454.
    連結:
  17. Chen, J., Xie, X., & Jing, F. (2011, August).The security of shopping online.
    連結:
  18. (2009). The contributions of prefrontal cortex and executive control to deception:
    連結:
  19. Choi, S., Nesheim, L., &Rasul, I. (2015). Reserve price effects in auctions: estimates
    連結:
  20. from multiple RD designs.
    連結:
  21. communities in managing internet auction fraud. MIS Quarterly, 759-781.
    連結:
  22. intersection of users’ personality and social media use. Computers in Human
    連結:
  23. Cox, D. F. (1967).Risk taking and information handling in consumer behavior.
    連結:
  24. Cunningham, S. M. (1967). The major dimensions of perceived risk. Risk taking and information handling in consumer behavior, 82-108.
    連結:
  25. Duncan, J. (2001). An adaptive coding model of neural function in prefrontal
    連結:
  26. Fullam, R. S., McKie, S., & Dolan, M. C. (2009). Psychopathic traits and deception:
    連結:
  27. functional magnetic resonance imaging study. The British Journal of
    連結:
  28. Psychiatry, 194(3), 229-235.
    連結:
  29. integration of heteromodal short-term cognitive operations: a breakdown of
    連結:
  30. Gavish, B., &Tucci, C. L. (2008). Reducing internet auction fraud.Communications of
    連結:
  31. Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6),
    連結:
  32. Hendel, I., &Lizzeri, A. (1999).Interfering with secondary markets. The Rand Journal
    連結:
  33. of Economics, 1-21.
    連結:
  34. consumers' risk perceptions of online shopping. Journal of Consumer
    連結:
  35. Jehiel, P., &Lamy, L. (2015). On absolute auctions and secret reserve prices.The RAND
    連結:
  36. Johnson, R., Barnhardt, J., & Zhu, J. (2004). The contribution of executive processes to
    連結:
  37. Jøsang, A., Ismail, R., & Boyd, C. (2007). A survey of trust and reputation systems for
    連結:
  38. online service provision. Decision support systems, 43(2), 618-644.
    連結:
  39. N. (2010). The truth about lying: inhibition of the anterior prefrontal cortex
    連結:
  40. improves deceptive behavior. Cerebral Cortex, 20(1), 205-213.
    連結:
  41. Karton, I., & Bachmann, T. (2011). Effect of prefrontal transcranial magnetic
    連結:
  42. Kirkegaard, R. (2012). A mechanism design approach to ranking asymmetric
    連結:
  43. auctions. Econometrica, 80(5), 2349-2364.
    連結:
  44. Köhler, W. (1929).Gestalt psychology. New York: Liveright.
    連結:
  45. & George, M. S. (2004). A pilot study of functional magnetic resonance imaging brain correlates of deception in healthy young men. The Journal of neuropsychiatry and clinical neurosciences.
    連結:
  46. Kuhnen, C. M., & Knutson, B. (2005).The neural basis of financial risk taking.
    連結:
  47. event-related functional magnetic resonance study. Neuroimage,15(3), 727-732.
    連結:
  48. Information Sharing through Internal Psychological Processes: A Case of South Korean Online Communities. Journal of Global Information Management (JGIM), 22(3), 57-77.
    連結:
  49. Lee, K. S., & Tan, S. J. (2003). E-retailing versus physical retailing: A theoretical
    連結:
  50. Lopes, P. N., Salovey, P., & Straus, R. (2003). Emotional intelligence, personality, and
    連結:
  51. Mehrabian, A., & Russell, J. A. (1974).An approach to environmental psychology.the
    連結:
  52. MIT Press.
    連結:
  53. Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex
    連結:
  54. Miyazaki, A. D., & Fernandez, A. (2001). Consumer perceptions of privacy and
    連結:
  55. Mohr, P. N., Biele, G., &Heekeren, H. R. (2010).Neural processing of risk. The
    連結:
  56. Mummalaneni, V. (2005). An empirical investigation of Web site characteristics,
    連結:
  57. Navon, D. (1977). Forest before trees: The precedence of global features in visual
    連結:
  58. perception. Cognitive psychology, 9(3), 353-383.
    連結:
  59. Nissenbaum, H. (1999). The meaning of anonymity in an information age. The
    連結:
  60. responding shares neural substrates with response conflict and cognitive
    連結:
  61. control. Neuroimage, 25(1), 267-277.
    連結:
  62. Öhman, A. (2002). Automaticity and the amygdala: Nonconscious responses to
    連結:
  63. Increased activation in the right insula during risk-taking decision making is related to harm avoidance and neuroticism. Neuroimage, 19(4), 1439-1448.
    連結:
  64. Pessoa, L. (2005). To what extent are emotional visual stimuli processed without
    連結:
  65. Pires, G., Stanton, J., & Eckford, A. (2004). Influences on the perceived risk of
    連結:
  66. Functional magnetic resonance imaging in consumer research: A review and application. Psychology & Marketing, 28(6), 608-637.
    連結:
  67. Rilling, J. K., King-Casas, B., &Sanfey, A. G. (2008). The neurobiology of social
    連結:
  68. decision-making. Current opinion in neurobiology, 18(2), 159-165.
    連結:
  69. Rilling, J. K., &Sanfey, A. G. (2011). The neuroscience of social
    連結:
  70. Roselius, T. (1971).Consumer rankings of risk reduction methods. The journal of
    連結:
  71. marketing, 56-61.
    連結:
  72. cortex mediates response inhibition while mesial prefrontal cortex is responsible for error detection. Neuroimage, 20(1), 351-358.
    連結:
  73. decision-making and the human prefrontal cortex. Neuropsychologia,41(9),
    連結:
  74. Schneider, T., &Woolgar, S. (2012). Technologies of ironic revelation: Enacting
    連結:
  75. Sirdeshmukh, D., Singh, J., & Sabol, B. (2002). Consumer trust, value, and loyalty in
    連結:
  76. contribution of neuroscience to consumer research: A conceptual framework and empirical review. Journal of Economic Psychology, 36, 68-81.
    連結:
  77. Wagner, T., & Rudolph, T. (2010). Towards a hierarchical theory of shopping
    連結:
  78. Wallis, J. D. (2007). Orbitofrontal cortex and its contribution to
    連結:
  79. decision-making. Annu. Rev. Neurosci., 30, 31-56.
    連結:
  80. Wei, Y. H. (2012). A Study on Factors that Affect Online Game User’s Behavioral
    連結:
  81. (2004). Human amygdala responsivity to masked fearful eye whites. Science, 306(5704), 2061-2061.
    連結:
  82. Yin, S., Ray, S., Gurnani, H., &Animesh, A. (2010). Durable products with multiple used goods markets: Product upgrade and retail pricing implications.Marketing Science, 29(3), 540-560.
    連結:
  83. Aaker, D. A. (2012). Building strong brands.Simon and Schuster.
  84. Abe, N., Suzuki, M., Tsukiura, T., Mori, E., Yamaguchi, K., Itoh, M., &Fujii, T.
  85. Akaah, I. P., &Korgaonkar, P. K. (1988). A conjoint investigation of the relative
  86. importance of risk relievers in direct marketing. Journal of Advertising Research, 28(4), 38-44.
  87. Anderson, A. K., & Phelps, E. A. (2001). Lesions of the human amygdala impair
  88. in business. Nature reviews neuroscience, 11(4), 284-292.
  89. frontal cortex. Trends in cognitive sciences, 8(4), 170-177.
  90. Ballesteros, J. (1989). Postmodernidaddecadencia o resistencia.
  91. policy. Journal of Monetary Economics, 60(7), 771-788.
  92. through an economic incentive mechanism. Decision Support Systems, 35(3), 273-286.
  93. Ba, S., &Pavlou, P. A. (2002). Evidence of the effect of trust building technology in
  94. electronic markets: Price premiums and buyer behavior. MIS quarterly, 243-268.
  95. Becherer, R. C., & Halstead, D. (2004). Characteristics and internet marketing
  96. strategies of online auction sellers. International Journal of Internet Marketing and Advertising, 1(1), 24-37.
  97. Bhatt, S., Mbwana, J., Adeyemo, A., Sawyer, A., Hailu, A., &Vanmeter, J. (2009).
  98. 382-390.
  99. Brockman, P., & Chung, D. Y. (2000). An empirical investigation of trading on
  100. Chen, H. S., & Hsieh, T. (2011). The effect of atmosphere on customer perceptions and
  101. customer behavior responses in chain store supermarkets.African Journal of Business Management, 5(24), 10054-10066.
  102. InElectronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on (Vol. 9, pp. 4693-4696).IEEE.
  103. Christ, S. E., Van Essen, D. C., Watson, J. M., Brubaker, L. E., & McDermott, K. B.
  104. evidence from activation likelihood estimate meta-analyses.Cerebral
  105. Cortex, 19(7), 1557-1566.
  106. Chua, C. E. H., Wareham, J., & Robey, D. (2007). The role of online trading
  107. Correa, T., Hinsley, A. W., & De Zuniga, H. G. (2010). Who interacts on the Web?: The
  108. Behavior, 26(2), 247-253.
  109. cortex. Nature Reviews Neuroscience, 2(11), 820-829.
  110. Flavián, C., &Guinalíu, M. (2006). Consumer trust, perceived security and privacy
  111. policy: three basic elements of loyalty to a web site. Industrial Management & Data Systems, 106(5), 601-620.
  112. Fujii, T., Fukatsu, R., Yamadori, A., Suzuki, K., &Odashima, K. (1997). Disordered
  113. working memory. Neurocase, 3(4), 289-296.
  114. the ACM, 51(5), 89-97.
  115. 725-737.
  116. Hsieh, J. Y., & Liao, P. W. (2011). Antecedents and moderators of online shopping
  117. behavior in undergraduate students. Social Behavior and Personality: an
  118. international journal, 39(9), 1271-1280.
  119. Huang, W. Y., Schrank, H., & Dubinsky, A. J. (2004). Effect of brand name on
  120. Behaviour, 4(1), 40-50.
  121. Jaeger, C. C., Webler, T., Rosa, E. A., &Renn, O. (2013). Risk, uncertainty and
  122. rational action. Routledge.
  123. Journal of Economics, 46(2), 241-270.
  124. deceptive responding. Neuropsychologia, 42(7), 878-901.
  125. Karim, A. A., Schneider, M., Lotze, M., Veit, R., Sauseng, P., Braun, C., &Birbaumer,
  126. stimulation on spontaneous truth-telling. Behavioural brain research, 225(1),
  127. 209-214.
  128. Kozel, F. A., Padgett, T. M., & George, M. S. (2004). A replication study of the neural
  129. correlates of deception. Behavioral neuroscience, 118(4), 852.
  130. Kozel, F. A., Revell, L. J., Lorberbaum, J. P., Shastri, A., Elhai, J. D., Horner, M. D., ...
  131. Knight, F. H. (2012). Risk, uncertainty and profit. Courier Corporation.
  132. Neuron, 47(5), 763-770.
  133. Langleben, D. D., Schroeder, L., Maldjian, J. A., Gur, R. C., McDonald, S., Ragland, J.
  134. D.,& Childress, A. R. (2002). Brain activity during simulated deception: an
  135. Lee, N., Broderick, A. J., & Chamberlain, L. (2007). What is ‘neuromarketing’? A
  136. discussion and agenda for future research. International Journal of Psychophysiology, 63(2), 199-204.
  137. Lee, H., Choi, J., Kim, K. K., & Lee, A. R. (2014). Impact of Anonymity on
  138. model and empirical test of consumer choice. Journal of Business Research, 56(11), 877-885.
  139. the perceived quality of social relationships. Personality and individual
  140. Differences, 35(3), 641-658.
  141. function. Annual review of neuroscience, 24(1), 167-202.
  142. security risks for online shopping. Journal of Consumer affairs, 35(1), 27-44.
  143. Journal of neuroscience, 30(19), 6613-6619.
  144. consumer emotional states and on-line shopping behaviors.Journal of Business Research, 58(4), 526-532.
  145. Newman, G. R., & Clarke, R. V. (2013). Superhighway robbery.Routledge.
  146. Information Society, 15(2), 141-144.
  147. Nunez, J. M., Casey, B. J., Egner, T., Hare, T., & Hirsch, J. (2005). Intentional false
  148. emotional faces. Current directions in psychological science, 11(2), 62-66.
  149. O'malley, P. (2012). Risk, uncertainty and government.Routledge.
  150. Paulus, M. P., Rogalsky, C., Simmons, A., Feinstein, J. S., & Stein, M. B. (2003).
  151. Pavlou, P. A., &Gefen, D. (2005). Psychological contract violation in online
  152. marketplaces: Antecedents, consequences, and moderating role. Information
  153. systems research, 16(4), 372-399.
  154. attention and awareness?. Current opinion in neurobiology, 15(2), 188-196.
  155. purchasing online. Journal of Consumer Behaviour, 4(2), 118-131.
  156. Reimann, M., Schilke, O., Weber, B., Neuhaus, C., &Zaichkowsky, J. (2011).
  157. Resnick, P., Kuwabara, K., Zeckhauser, R., & Friedman, E. (2000). Reputation
  158. systems. Communications of the ACM, 43(12), 45-48.
  159. decision-making. Annual review of psychology, 62, 23-48.
  160. Rubia, K., Smith, A. B., Brammer, M. J., & Taylor, E. (2003). Right inferior prefrontal
  161. Sanfey, A. G., Hastie, R., Colvin, M. K., &Grafman, J. (2003). Phineas gauged:
  162. 1218-1229.
  163. consumers in neuromarkets. Consumption Markets & Culture, 15(2), 169-189.
  164. Shih, C. H., & Chang, G. H. (2006). Anslyses of consuming features and magnaing
  165. strategies to SHPs. Consumer Economics, 22(3), 64-67.
  166. relational exchanges. Journal of marketing, 66(1), 15-37.
  167. Steenkamp, J. B. E., Batra, R., & Alden, D. L. (2003). How perceived brand globalness
  168. creates brand value. Journal of International Business Studies,34(1), 53-65.
  169. Snoj, B., PisnikKorda, A., &Mumel, D. (2004). The relationships among perceived
  170. quality, perceived risk and perceived product value. Journal of Product & Brand Management, 13(3), 156-167.
  171. Solnais, C., Andreu-Perez, J., Sánchez-Fernández, J., &Andréu-Abela, J. (2013). The
  172. Spence, S. A. (2004). The deceptive brain. Journal of the Royal Society of
  173. Medicine, 97(1), 6-9.
  174. motivation. Journal of Retailing and Consumer Services, 17(5), 415-429.
  175. Wang, K., Wang, E. T., & Tai, C. F. (2002). A study of online auction sites in Taiwan:
  176. product, auction rule, and trading type. International Journal of Information Management, 22(2), 127-142.
  177. Intention to Online Channel.
  178. Whalen, P. J., Kagan, J., Cook, R. G., Davis, F. C., Kim, H., Polis, S., ...& Johnstone, T.
  179. Zhou, L., Dai, L., & Zhang, D. (2007).Online shopping acceptance model-A critical survey of consumer factors in online shopping. Journal of Electronic Commerce Research, 8(1), 41-62.