| 研究生: |
卿雯鈞 Ching, Wen-Jiun |
|---|---|
| 論文名稱: |
音樂對電子商務網站使用者購買決策與知覺風險程度影響之腦影像研究 An fMRI Study of Different Music Types Influencing e-Consumers’ Purchasing Decision-making and Levels of Perceived Risks |
| 指導教授: |
王惠嘉
Wang, Hei-Chia |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 資訊管理研究所 Institute of Information Management |
| 論文出版年: | 2020 |
| 畢業學年度: | 108 |
| 語文別: | 中文 |
| 論文頁數: | 214 |
| 中文關鍵詞: | 電子商務 、聽覺 、SOR理論 、消費者行為 、fMRI |
| 外文關鍵詞: | E-commerce, Hear-perception, SOR Theory, Consumer behavior, fMRI |
| 相關次數: | 點閱:140 下載:0 |
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近年來體驗行銷逐漸受到重視,網路商店希望藉由消費者整體優良的使用者體驗,促使消費者有購買意願。背景音樂已經成為現代商業不可或缺的重要元素之一,因為音樂會影響人類的情緒變化,而情緒的起伏、波動,會使消費者在心理層面有著不同的感受,已被廣泛使用在不同的消費場所,包括電商網站也藉由背景音樂來影響消費者情緒,讓消費者體驗愉快的購物網站氣氛而最終刺激銷售。因此,本研究探討體驗行銷之感官體驗中的聽覺面向,如何影響消費者的購買決策。本研究以功能性磁振造影(Functional magnetic resonance imaging)為工具,著重於消費者的聽覺體驗於線上購物過程中,根據「刺激-行為個體-反應」(Stimulus-Organism-Response)探討不同音樂類型對於消費者的腦區活化反應是否不同,以及消費者在購買決策過程中的知覺風險程度以及購買意願的差異。研究結果發現,聆聽不同音樂類型的受試者,其對於購物決策和知覺風險程度有不同,腦影像的活化區域也有不同。聆聽古典音樂的參與者其購買意願較高,而當商品呈現有點數作為獎勵時,消費者的購買意願為做高。此時活化的腦區為NAcc (Nucleus accumbens),此腦區又被稱為快樂中樞,位於獎賞神經網絡,也為價值與感受的決策相關腦區。
In recent years, experiential marketing has gradually gained attention, and owners of E-commerce website hope to increase revenue by improving user experience of online shopping. Background music is an essential element in the modern commercial. Due to the music is a powerful and engaging stimulus that evokes emotion and influences decision-making processes and risk-taking. E-commerce website can create pleasure atmosphere to influence consumers’ decision-making and raise revenue by playing music. Thus, this study explores how the hear aspect of sensory experience influence consumer decision making. Based on Stimulus-Organism-Response(S-O-R) theory, this study utilizes different music genres as stimulus to evoke consumers’ emotion to explore the decision-making and levels of perceived risks. Besides, this study adopts functional Magnetic Resonance Imaging (fMRI) tools to investigate whether different brain regions will be activated while different hear-perception processing. As a result, this study found that the participants listening to different types of music had different levels of risk for shopping decisions and perceptions, as well as different activation areas of brain images. The participants listening to classical music had a higher level of intention of purchase compared with those who didn’t. When the rewarding points were offered to the particpants along with the presentation of product images, their levels of purchasing intention was the highest during the fMRI experiment. The brain area activated by the participants at that time was NAcc (Nucleus accumbens). This brain area is also called the happy center, which is located in the reward neural network, and is also a brain area related to the decision of value and feeling.
[網站資料]
經濟部統計處. (2018). Retrieved from https://www.moea.gov.tw/Mns/dos/home/Home.aspx
[中文部分]
曾志朗. (2008). 買或不買,那就是腦的問題所在. 科學人雜誌, 82.
蔡振家. (2019). 從內模仿到訊息整合:再探音樂引發情緒的機制. [From Inner Imitation to Information Integration: Revisiting the Mechanisms Underlying Emotion Induction via Music]. 藝術評論(37), 1-49. doi:10.3966/101562402019070037001
[英文部分]
Ahn, S., & Phillips, A. G. (1999). Dopaminergic correlates of sensory-specific satiety in the medial prefrontal cortex and nucleus accumbens of the rat. Journal of Neuroscience, 19(19), RC29-RC29.
Al-dweeri Rami, M. (2019). The effect of e-service quality on Jordanian student’s e-loyalty: an empirical study in online retailing. Industrial Management and Data Systems, 119(4), 902-923. doi:10.1108/IMDS-12-2017-0598
Ambler, T., Ioannides, A., & Rose, S. (2000). Brands on the brain: neuro‐images of advertising. Business Strategy Review, 11(3), 17-30.
Andersson, P. K., Kristensson, P., Wästlund, E., & Gustafsson, A. (2012). Let the music play or not: The influence of background music on consumer behavior. Journal of retailing and consumer services, 19(6), 553-560.
Andersson, P. K., Pernille, & ndersson. (2016). Changing the servicescape The influence of music , self-disclosure and eye gaze on service encounter experience and approach-avoidance behavior.
Andrade, E. B., & Ariely, D. (2009). The enduring impact of transient emotions on decision making. Organizational Behavior and Human Decision Processes, 109(1), 1-8.
Ariely, D. (2008). Predictably Irrational: The hidden forces that shape our decisions. In: New York: Harper Collins.
Arnett, J. (2018). Metalheads: Heavy metal music and adolescent alienation: Routledge.
Artemenko, C., Sitnikova, M. A., Soltanlou, M., Dresler, T., & Nuerk, H.-C. (2020). Functional lateralization of arithmetic processing in the intraparietal sulcus is associated with handedness. Scientific Reports, 10(1), 1775. doi:10.1038/s41598-020-58477-7
Baker, J., & Cameron, M. (1996). The effects of the service environment on affect and consumer perception of waiting time: An integrative review and research propositions. Journal of the Academy of marketing Science, 24(4), 338.
Beatty, S. E., & Ferrell, M. E. (1998). Impulse buying: Modeling its precursors. Journal of retailing, 74(2), 169-191.
Beer, J. S., Shimamura, A. P., & Knight, R. T. (2004). Frontal lobe contributions to executive control of cognitive and social behavior.
Bitner, M. J. (1992). Servicescapes: The impact of physical surroundings on customers and employees. Journal of Marketing, 56(2), 57-71.
Bless, H., Clore, G. L., Schwarz, N., Golisano, V., Rabe, C., & Wölk, M. (1996). Mood and the use of scripts: Does a happy mood really lead to mindlessness? Journal of Personality and Social Psychology, 71(4), 665.
Blood, A. J., Zatorre, R. J., Bermudez, P., & Evans, A. C. (1999). Emotional responses to pleasant and unpleasant music correlate with activity in paralimbic brain regions. Nature neuroscience, 2(4), 382.
Brooks, J. L. (2017). The Mozart Effect for Epilepsy Treatment in Children. Appalachian State University,
Bruner, G. (1990). Music, mood, and marketing. Journal of Marketing, 54(4), 94-104.
Brunner-Sperdin, A., Scholl-Grissemann, U. S., & Stokburger-Sauer, N. E. (2014). The relevance of holistic website perception. How sense-making and exploration cues guide consumers' emotions and behaviors. Journal of Business Research, 67(12), 2515-2522. doi:https://doi.org/10.1016/j.jbusres.2014.02.004
Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain's default network: anatomy, function, and relevance to disease.
Camara, E., Rodriguez-Fornells, A., Ye, Z., & Münte, T. F. (2009). Reward networks in the brain as captured by connectivity measures. Frontiers in neuroscience, 3, 34.
Carlson, M., & Miller, N. (1987). Explanation of the relation between negative mood and helping. Psychological bulletin, 102(1), 91.
Clynes, M., & Walker, J. (1982). Neurobiologic functions of rhythm, time, and pulse in music. In Music, mind, and brain (pp. 171-216): Springer.
Cole, M. W., & Schneider, W. (2007). The cognitive control network: integrated cortical regions with dissociable functions. Neuroimage, 37(1), 343-360.
Collins, A. (2013). Music Education and the Brain: What Does It Take to Make a Change? Update Applications of Research in Music Education, 32. doi:10.1177/8755123313502346
Cuny, C., Fornerino, M., & Helme-Guizon, A. (2015). Can music improve e-behavioral intentions by enhancing consumers’ immersion and experience? Information Management
52(8), 1025-1034.
Darley, J. M., & Gilbert, D. T. (1985). Social psychological aspects of environmental psychology. Handbook of social psychology, 2, 949-992.
Datta, H., Knox, G., & Bronnenberg, B. (2017). Changing their tune: How consumers’ adoption of online streaming affects music consumption and discovery. Journal Marketing Science, 37(1), 5-21.
Dawson, S., & Kim, M. (2010). Cues on apparel web sites that trigger impulse purchases. Journal of Fashion Marketing Management: An International Journal, 14(2), 230-246.
Day, R.-F., Lin, C.-H., Huang, W.-H., & Chuang, S.-H. (2009). Effects of music tempo and task difficulty on multi-attribute decision-making: An eye-tracking approach. Computers in Human Behavior, 25(1), 130-143.
De Martino, B., Kumaran, D., Seymour, B., & Dolan, R. J. (2006). Frames, biases, and rational decision-making in the human brain. Science (New York, N.Y.), 313(5787), 684-687. doi:10.1126/science.1128356
Dimoka, A., Pavlou, P. A., & Davis, F. D. (2011). Research commentary—NeuroIS: the potential of cognitive neuroscience for information systems research. Information Systems Research, 22(4), 687-702.
Dong, X.-M., Wamg, Z.-H., & Ma, S.-Y. (2011). Effect of music therapy on heart rate variability. Yiliao Weisheng Zhuangbei, 32(10), 7-9.
Donovan, R. J., Rossiter, J. R., Marcoolyn, G., & Nesdale, A. (1994). Store atmosphere and purchasing behavior. Journal of retailing, 70(3), 283-294.
Duarte, P., Raposo, M., & Ferraz, M. (2013). Drivers of snack foods impulse buying behaviour among young consumers. British Food Journal, 115(9), 1233–1254. doi: 10.1108/bfj-10-2011-0272
Dugas, J. C., Tai, Y. C., Speed, T. P., Ngai, J., & Barres, B. A. (2006). Functional
genomic analysis of oligodendrocyte differentiation. Journal of Neuroscience, 26(43), 10967-10983.
Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2001). Atmospheric qualities of online retailing: A conceptual model and implications. Journal of Business Research, 54(2), 177-184.
F, Y. R., & Spangenberg, E. (1993). Using Store Music For Retail Zoning: a Field Experiment. Advances in Consumer Research, 20, 632-636.
Fernández-Sotos, A., Fernández-Caballero, A., & Latorre, J. M. (2016). Influence of Tempo and Rhythmic Unit in Musical Emotion Regulation. Frontiers in computational neuroscience, 10, 80-80. doi:10.3389/fncom.2016.00080
Ferreri, L., Mas-Herrero, E., Zatorre, R. J., Ripollés, P., Gomez-Andres, A., Alicart, H., . . . Valle, M. (2019). Dopamine modulates the reward experiences elicited by music. Proceedings of the National Academy of Sciences, 116(9), 3793-3798.
Foland-Ross, L. C., Cooney, R. E., Joormann, J., Henry, M. L., & Gotlib, I. H. (2014). Recalling happy memories in remitted depression: a neuroimaging investigation of the repair of sad mood. Cognitive, affective & behavioral neuroscience, 14(2), 818-826. doi:10.3758/s13415-013-0216-0
Fox, C. R., & Poldrack, R. A. (2009). Prospect theory and the brain. In Neuroeconomics: Decision making and the brain. (pp. 145-173). San Diego, CA, US: Elsevier Academic Press.
Fugate, J. M., O'Hare, A. J., & Emmanuel, W. S. (2018). Emotion words: Facing change. Journal of Experimental Social Psychology, 79, 264-274.
Gardner, M. P. (1985). Mood states and consumer behavior: A critical review. Journal of Consumer research, 12(3), 281-300.
Garza-González, E., Bosques-Padilla, F. J., El-Omar, E., Hold, G., Tijerina-Menchaca, R., Maldonado-Garza, H. J., & Pérez-Pérez, G. I. (2005). Role of the polymorphic IL-1B, IL-1RN and TNF-A genes in distal gastric cancer in Mexico. 114(2), 237-241. doi:10.1002/ijc.20718
Gatautis, R., & Vaiciukynaite, E. (2013). WEBSITE ATMOSPHERE: TOWARDS REVISITED TAXONOMY OF WEBSITE ELEMENTS. Economics Management, 18(3).
Godron, A., & Leitao, A. (2019). The development of experiential marketing and the e-commerce rise : An empirical study of the relationship between experiential marketing and e-commerce. (Independent thesis Advanced level (degree of Master (One Year));Independent thesis Advanced level (degree of Master (One Year)) Student thesis). Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160902 DiVA database.
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. (1998). Measuring individual differences in implicit cognition: the implicit association test. Journal of Personality and Social Psychology, 74(6), 1464.
Grundey, D. (2008). Experiential Marketing vs. Traditional Marketing: creating rational and emotional liaisons with consumers. The Romanian Economic Journal, 29(3), 133-151.
Guéguen, N., & Jacob, C. (2014). Congruency between instrumental background music and behavior on a website. Psychology of Music, 42(1), 29-34.
Heise, D. R. J. A. m. (1970). The semantic differential and attitude research. 4, 235-253.
Helmefalk, M., & Hultén, B. (2017). Multi-sensory congruent cues in designing retail store atmosphere: Effects on shoppers’ emotions and purchase behavior. Journal of retailing and consumer services, 38, 1-11.
Herbert, R. (2016). Everyday music listening: Absorption, dissociation and trancing: Routledge.
Heung, V. C., & Gu, T. (2012). Influence of restaurant atmospherics on patron satisfaction and behavioral intentions. International Journal of Hospitality Management, 31(4), 1167-1177.
Hsu, J.-L., Zhen, Y.-L., Lin, T.-C., & Chiu, Y.-S. J. M. S. (2018). Affective content analysis of music emotion through EEG. 24(2), 195-210.
Hsu, M., & Camerer, C. F. (2004). Ambiguity-aversion in the Brain. Academy of Behavioral Finance & Economics.
Hussain, R., & Ali, M. J. I. J. o. M. S. (2015). Effect of store atmosphere on consumer purchase intention. 7(2).
IBM. (2012). IBM Reveals Five Innovations That Will Change Our Lives within Five Years. Retrieved from https://www-03.ibm.com/press/us/en/pressrelease/39685.wss
Internet World Stats. (2019). Usage and Population Statistics. Retrieved from www.internetworldstats.com
Jeffrey, S. A., & Hodge, R. (2007). Factors influencing impulse buying during an online purchase. Electronic Commerce Research, 7(3-4), 367–379. doi: 10.1007/s10660-007-9011-8
Jia, L., Xue, G., Fu, Y., & Xu, L. (2018). Factors affecting consumers’ acceptance of e-commerce consumer credit service. International Journal of Information Management, 40, 103-110. doi:https://doi.org/10.1016/j.ijinfomgt.2018.02.002
Johnson, E. J., & Tversky, A. (1983). Affect, generalization, and the perception of risk. Journal of personality social psychology
45(1), 20.
Jung, Y. J., Lee, Y., Kim, H. Y., & Yoon, S.-Y. J. 감. (2018). Preliminary evidence for the psychophysiological effects of a technological atmosphere in e-commerce. 21(1), 45-58.
Kahneman, D. (2003). Maps of bounded rationality: Psychology for behavioral economics. American economic review, 93(5), 1449-1475.
Kaur, B., Singh, D., & Roy, P. P. (2017). A novel framework of EEG-based user identification by analyzing music-listening behavior. Multimedia tools and applications, 76(24), 25581-25602.
Kellaris, J. J., Rice, R. C. J. P., & Marketing. (1993). The influence of tempo, loudness, and gender of listener on responses to music. 10(1), 15-29.
Knutson, B., Adams, C. M., Fong, G. W., & Hommer, D. (2001). Anticipation of increasing monetary reward selectively recruits nucleus accumbens. Journal of Neuroscience, 21(16), RC159-RC159.
Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., & Loewenstein, G. (2007). Neural predictors of purchases. Neuron, 53(1), 147-156.
Ko, C.-H., Liu, G.-C., Yen, J.-Y., Yen, C.-F., Chen, C.-S., & Lin, W.-C. (2013). The brain activations for both cue-induced gaming urge and smoking craving among subjects comorbid with Internet gaming addiction and nicotine dependence. Journal of Psychiatric Research, 47(4), 486-493. doi:https://doi.org/10.1016/j.jpsychires.2012.11.008
Koelsch, S., Fritz, T., v. Cramon, D. Y., Müller, K., & Friederici, A. D. (2006). Investigating emotion with music: an fMRI study. Human brain mapping, 27(3), 239-250.
Kotler, P. (1973). Atmospherics as a marketing tool. Journal of retailing, 49(4), 48-64.
Krause, A., North, A., & Hargreaves, D. (2016). Music and consumer behavior.
Kuhnen, C. M., & Knutson, B. (2005). The neural basis of financial risk taking. Neuron, 47(5), 763-770.
Kumaran, D. S. (2018). Using EEG-validated Music Emotion Recognition Techniques to Classify Multi-Genre Popular Music for Therapeutic Purposes.
Lerner, J. S., & Keltner, D. (2000). Beyond valence: Toward a model of emotion-specific influences on judgement and choice. Cognition emotion, 14(4), 473-493.
Lerner, J. S., & Keltner, D. (2001). Fear, anger, and risk. Journal of personality social psychology, 81(1), 146.
Lerner, J. S., Small, D. A., & Loewenstein, G. (2004). Heart strings and purse strings: Carryover effects of emotions on economic decisions. Psychol Sci, 15(5), 337-341.
Lewis, P. A., Rezaie, R., Brown, R., Roberts, N., & Dunbar, R. I. (2011). Ventromedial prefrontal volume predicts understanding of others and social network size. Neuroimage, 57(4), 1624-1629.
Lhermitte, F., Pillon, B., Serdaru, M. J. A. o. N. O. J. o. t. A. N. A., & Society, t. C. N. (1986). Human autonomy and the frontal lobes. Part I: Imitation and utilization behavior: A neuropsychological study of 75 patients. 19(4), 326-334.
Liebman, E., Stone, P., & White, C. N. (2016). Impact of music on decision making in quantitative tasks. Paper presented at the ISMIR Conference, New York City, USA.
Lin, S., Li, C., Xu, F., Liu, D., & Liu, J. (2018). Risk identification and analysis for new energy power system in China based on D numbers and decision-making trial and evaluation laboratory (DEMATEL). Journal of cleaner production, 180, 81-96.
Lockwood, P. L. J. B. b. r. (2016). The anatomy of empathy: Vicarious experience and disorders of social cognition. 311, 255-266.
Luo, H., Wang, J., Han, X., & Zeng, D. (2015). The impact of filler interface on online users' perceived waiting time. Paper presented at the 2015 12th International Conference on Service Systems and Service Management (ICSSSM).
Luqman, A., Cao, X., Ali, A., Masood, A., & Yu, L. (2017). Empirical investigation of Facebook discontinues usage intentions based on SOR paradigm. Computers in Human Behavior, 70, 544-555. doi:https://doi.org/10.1016/j.chb.2017.01.020
Manganari, E. E., Siomkos, G. J., & Vrechopoulos, A. P. J. E. J. o. M. (2009). Store atmosphere in web retailing. 43(9/10), 1140-1153.
McPherson, M. J., Barrett, F. S., Lopez-Gonzalez, M., Jiradejvong, P., & Limb, C. J. (2016). Emotional intent modulates the neural substrates of creativity: an fMRI study of emotionally targeted improvisation in Jazz musicians. Scientific reports, 6, 18460.
McRae, K., Ochsner, K. N., Mauss, I. B., Gabrieli, J. J., & Gross, J. (2008). Gender differences in emotion regulation: An fMRI study of cognitive reappraisal. Group processes & intergroup relations, 11(2), 143-162.
Mitterschiffthaler, M. T., Fu, C. H., Dalton, J. A., Andrew, C. M., & Williams, S. C. (2007). A functional MRI study of happy and sad affective states induced by classical music. Human brain mapping, 28(11), 1150-1162.
Muraskin, J., Brown, T. R., Walz, J. M., Tu, T., Conroy, B., Goldman, R. I., & Sajda, P. (2018). A multimodal encoding model applied to imaging decision-related neural cascades in the human brain. NeuroIage, 180, 211-222.
. Music and shopping-Beware of Beethoven. (2014, Aug 23rd 2014). The Economist.
Ning Shen, K., & Khalifa, M. (2012). System design effects on online impulse buying. Internet Research, 22(4), 396-425.
Nishanov, B., & Ahunjonov, U. (2016). The Influence Of Store Characteristics On Consumers’ Impulse Buying Behaviour. Journal of international business research, 1(3), 20-26.
North, A. C., Sheridan, L. P., & Areni, C. S. J. J. o. R. (2016). Music congruity effects on product memory, perception, and choice. 92(1), 83-95.
North, A. C., Shilcock, A., & Hargreaves, D. J. (2003). The Effect of Musical Style on Restaurant Customers' Spending. Environment and Behavior, 35(5), 712-718. doi:10.1177/0013916503254749
O'Doherty, J. P., Deichmann, R., Critchley, H. D., & Dolan, R. J. (2002). Neural responses during anticipation of a primary taste reward. Neuron, 33(5), 815-826.
Oakes, S. J. J. o. s. m. (2000). The influence of the musicscape within service environments. 14(7), 539-556.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990). Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proceedings of the National Academy of Sciences of the United States of America, 87(24), 9868-9872. doi:10.1073/pnas.87.24.9868
Panksepp, J., & Trevarthen, C. (2009). The neuroscience of emotion in music.
Parboteeah, D. V., Valacich, J. S., & Wells, J. D. (2009). The influence of website characteristics on a consumer's urge to buy impulsively. Information Systems Research, 20(1), 60-78.
Paulus, M. P., Rogalsky, C., Simmons, A., Feinstein, J. S., & Stein, M. B. (2003). Increased activation in the right insula during risk-taking decision making is related to harm avoidance and neuroticism. Neuroimage, 19(4), 1439-1448. doi:10.1016/s1053-8119(03)00251-9
Pessoa, L. (2008). On the relationship between emotion and cognition. Nature Reviews Neuroscience, 9(2), 148.
Petruzzellis, L., Chebat, J.-C., & Palumbo, A. (2015). “Hey Dee-Jay Let’s Play that Song and Keep me Shopping All Day Long”. The Effect of Famous Background Music on Consumer Shopping Behavior. In Ideas in Marketing: Finding the New and Polishing the Old (pp. 756-765): Springer.
Phillips, M. L., Drevets, W. C., Rauch, S. L., & Lane, R. (2003). Neurobiology of emotion perception I: The neural basis of normal emotion perception. Biological psychiatry, 54(5), 504-514.
Pine, B. J., & Gilmore, J. H. J. H. b. r. (1998). Welcome to the experience economy. 76, 97-105.
Pine, B. J., & Gilmore, J. H. J. H. o. t. e. e. (2013). The experience economy: past, present and future. 21-44.
Plassmann, H., Kenning, P., Deppe, M., Kugel, H., & Schwindt, W. (2008). How choice ambiguity modulates activity in brain areas representing brand preference: evidence from consumer neuroscience. Journal of Consumer Behaviour: An International Research Review, 7(4‐5), 360-367.
Porcelli, A. J., & Delgado, M. R. (2009). Acute stress modulates risk taking in financial decision making. Psychol Sci, 20(3), 278-283. doi:10.1111/j.1467-9280.2009.02288.x
Preece, D. A., Becerra, R., Robinson, K., Dandy, J., & Allan, A. (2018). Measuring emotion regulation ability across negative and positive emotions: The Perth Emotion Regulation Competency Inventory (PERCI). Personality and Individual Differences, 135, 229-241.
Price, L., Zinkhan, G., & Arnould, E. (2004). Consumers: McGraw-Hill/Irwin.
Radocy, R. E., & Boyle, J. D. (2003). Psychological foundations of musical behavior. .
Reimann, M., Schilke, O., Weber, B., Neuhaus, C., & Zaichkowsky, J. (2011). Functional magnetic resonance imaging in consumer research: A review and application. Psychology & Marketing, 28(6), 608-637.
Rentfrow, P. J., & Gosling, S. D. (2003). The do re mi's of everyday life: The structure and personality correlates of music preferences. Journal of Personality and Social Psychology, 84(6), 1236-1256. doi:10.1037/0022-3514.84.6.1236
Review, H. B. (2013). DECISION MAKING: Your Brain at Work. Retrieved from https://hbr.org/2013/07/your-brain-at-work
Robert, D., & John, R. (1982). Store atmosphere: an environmental psychology approach. Journal of retailing, 58(1), 34-57.
Rolls, E. T. (2000). The orbitofrontal cortex and reward. Cerebral cortex, 10(3), 284-294.
Russell, J. A., & Mehrabian, A. (1974). An approach to environmental psychology: the MIT Press.
Russell, J. A., Peterson, B. S., & Posner, J. (2005). The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Development and psychopathology, 17(3), 715-734. doi:10.1017/S0954579405050340
Saarikallio, S. (2011). Music as emotional self-regulation throughout adulthood. Psychology of Music, 39, 307-327.
Salimpoor, V. N., Benovoy, M., Larcher, K., Dagher, A., & Zatorre, R. J. J. N. n. (2011). Anatomically distinct dopamine release during anticipation and experience of peak emotion to music. 14(2), 257.
Sanders, T. (2016). Dealstorming: The Secret Weapon That Can Solve Your Toughest Sales Challenges: Portfolio.
Schmitt, B. (1999). Experiential marketing. Journal of marketing management, 15(1-3), 53-67.
Schmitt, B. (2006). EXPERIENTIAL MARKETING.
Sebastian, V. J. P.-S., & Sciences, B. (2014). Neuromarketing and evaluation of cognitive and emotional responses of consumers to marketing stimuli. 127, 753-757.
Segado, M., Hollinger, A., Thibodeau, J., Penhune, V., & Zatorre, R. J. J. F. i. n. (2018). Partially overlapping brain networks for singing and cello playing. 12, 351.
Sharman, L., & Dingle, G. A. (2015). Extreme Metal Music and Anger Processing. 9(272). doi:10.3389/fnhum.2015.00272
Shenje, J. J. J. o. E., & Sciences, M. (2018). The Impact of Background Music on Customer Purchase Intentions. 1(1), p220-p220.
Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Consumption values and market choices: Theory and applications: South-Western Pub. Cinicinnati, OH.
Simon, H., & MARCH, J. (1976). Administrative behavior organization: New York: Free Press.
Singer, T., Seymour, B., O'doherty, J., Kaube, H., Dolan, R. J., & Frith, C. D. J. S. (2004). Empathy for pain involves the affective but not sensory components of pain. 303(5661), 1157-1162.
Skandalis, A., Byrom, J., & Banister, E. (2019). Experiential marketing and the changing nature of extraordinary experiences in post-postmodern consumer culture. Journal of Business Research, 97, 43-50. doi:https://doi.org/10.1016/j.jbusres.2018.12.056
Slovic, P., Lichtenstein, S., & Fischhoff, B. (1988). Decision making. In: Wiley.
So, J., Achar, C., Han, D., Agrawal, N., Duhachek, A., & Maheswaran, D. (2015). The psychology of appraisal: Specific emotions and decision-making. Journal of Consumer Psychology, 25(3), 359-371.
Tantanatewin, W., & Inkarojrit, V. (2018). The influence of emotional response to interior color on restaurant entry decision. International Journal of Hospitality Management, 69, 124-131. doi:https://doi.org/10.1016/j.ijhm.2017.09.014
Thompson, W. F. (2015). Music, thought, and feeling: Understanding the psychology of music: Oxford university press.
Turkyilmaz, C. A., Erdem, S., & Uslu, A. (2015). The effects of personality traits and website quality on online impulse buying. Procedia-Social Behavioral Sciences, 175, 98-105.
Turkyilmaz, C. A., Erdem, S., & Uslu, A. (2015). The Effects of Personality Traits and Website Quality on Online Impulse Buying. Procedia - Social and Behavioral Sciences, 175, 98-105. doi:https://doi.org/10.1016/j.sbspro.2015.01.1179
Turley, L. W., & Milliman, R. E. J. J. o. b. r. (2000). Atmospheric effects on shopping behavior: a review of the experimental evidence. 49(2), 193-211.
Van Der Zwaag, M., Westerink, J., & van den Broek, E. L. (2011). Emotional and psychophysiological responses to tempo, mode, and percussiveness. Musicae Scientiae, 15, 250-269. doi:10.1177/1029864911403364
Verhagen, T., & van Dolen, W. (2011). The influence of online store beliefs on consumer online impulse buying: A model and empirical application. Information Management, 48(8), 320-327.
Watson, S. (2018). How fMRI Works. Retrieved from https://science.howstuffworks.com/fmri4.htm
Weber, E. U., & Johnson, E. J. J. A. r. o. p. (2009). Mindful judgment and decision making. 60, 53-85.
Wicker, B., Keysers, C., Plailly, J., Royet, J.-P., Gallese, V., & Rizzolatti, G. J. N. (2003). Both of us disgusted in My insula: the common neural basis of seeing and feeling disgust. 40(3), 655-664.
Wilson, S. (2003). The Effect of Music on Perceived Atmosphere and Purchase Intentions in a Restaurant. Psychology of Music, 31(1), 93-112. doi:10.1177/0305735603031001327
Winkielman, P., Knutson, B., Paulus, M., & Trujillo, J. L. (2007). Affective influence on judgments and decisions: Moving towards core mechanisms. Review of General Psychology, 11(2), 179-192.
Wu, S. M. (2002). EFFECTS OF MUSIC THERAPY ON ANXIETY, DEPRESSION AND SELF-ESTEEM OF UNDERGRADUATES. PSYCHOLOGIA, 45(2), 104-114. doi:10.2117/psysoc.2002.104
Young, L., Bechara, A., Tranel, D., Damasio, H., Hauser, M., & Damasio, A. (2010). Damage to ventromedial prefrontal cortex impairs judgment of harmful intent. Neuron, 65(6), 845-851.
Zajonc, R. B. (1980). Feeling and thinking: Preferences need no inferences. American psychologist, 35(2), 151.
Zarem, J. E. J. F. T. M. f. M. M. (2000). Experience marketing. 1(3), 28-28.
Zentner, M., Grandjean, D., & Scherer, K. R. (2008). Emotions evoked by the sound of music: characterization, classification, and measurement. 8(4), 494.
Zhang, M., Ren, C., Wang, G. A., & He, Z. (2018). The impact of channel integration on consumer responses in omni-channel retailing: The mediating effect of consumer empowerment. Electronic Commerce Research and Applications, 28, 181-193. doi:https://doi.org/10.1016/j.elerap.2018.02.002
校內:2025-06-23公開