Responsive image
博碩士論文 etd-0612116-111257 詳細資訊
Title page for etd-0612116-111257
論文名稱
Title
為何不參與表演藝術?觀眾知覺風險的衡量與探討
Why not attend? An Investigation of Risk Perception toward Performing Arts Attendance
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
72
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2016-06-20
繳交日期
Date of Submission
2016-07-12
關鍵字
Keywords
觀眾開發、消費者行為、觀眾心理、涉入程度、知覺風險
Audience Development, Consumer Behavior, Perceived Risks, Audience Involvement
統計
Statistics
本論文已被瀏覽 5680 次,被下載 38
The thesis/dissertation has been browsed 5680 times, has been downloaded 38 times.
中文摘要
許多研究探討觀眾為何出席表演藝術,主要是聚焦於動機理論與市場需求的變化,在實務上去抓緊這些有特定動機的觀眾群被視為是行銷人員的重要任務,然而,觀眾的動機並不能完全作為出席預測的指標,行銷人員必須考量更多其他可能制約出席的因素來制定行銷策略,即透過消費者的角度思考購票與參與行為可能涉及的風險感受。縱使消費者擔心的可能是多餘的,但此一風險感受確實影響了消費者出席的決策。本研究旨在探討民眾對表演藝術出席感受到的知覺風險,以因素分析來萃取得到設施、內容、社會性、主觀印象與便利成本五個構面,並透過差異與迴歸分析檢視背景屬性與涉入程度帶來可能的影響,共183份調查問卷回收後進行量化分析與討論。研究結果發現:
(一)不同知覺風險在性別、年齡、教育程度、年表演藝術花費上,皆無顯著的差異,值得一提的是學歷較高者,較在意便利成本的風險,值得未來探討(二)隨著個人對表演藝術的涉入感受上升,所在意的整體知覺風險則明顯增加,其中設施與社會性的考量是涉入較深者愈趨在意的。由研究發現可以推論民眾在做出席決策時,主要在乎的風險類別與特性,有助於行銷人員在實務上納入考量。對於表演藝術團體而言,除了重視演出內容的品質外,更重要的是提供給觀眾一些線索來解決不同面向的知覺風險,並有效地增加出席率,以達觀眾開發與降低觀眾流失的重要使命。
Abstract
Much effort on audience participation research has been greatly focused on motivational factors and changes in market demand. It is also regarded a key responsibility of arts marketing managers to engage audience of different motives. However, audience research is never unidimensional. The answer we get usually depends on the question we asked. While motivation might be one of the predictors for audience participation but on the other hand, what prevents people from attending arts should receive equal attention if we wish to improve marketing programs. The aim of this study therefore is to explore perceived risks in performing arts event attendance along with their association with personal involvement in the arts. Factor Analysis identified five dimensions of perceived risks including facility, content, social identity, subjective impression and cost of convenience. Subsequent analyses by way of variance and regression were conducted to examine the relationships between risks and respondents’ demographics, as well as degree of involvement in arts. Based on the data collected in the study, the results of the research are in the followings:
The results of the research indicate that (1) perceived risks do not vary among people of different gender, age, education and annual spending on arts. Except that people with higher education seem to care more about cost of convenience. (2) The degree of perceived risks is significantly related to respondents’ involvement in arts and those who have higher involvement in arts pay more attention to the risks related to facilities and social identity in particular. The research contributes to our understanding toward perceived risks in audience participation and in the hope to help arts managers with their decision marking in allocating marketing resources. At the end practical implications and future directions of the research are discussed.
目次 Table of Contents
第壹章、緒論……………………………………………………………1
第一節 研究背景與動機…………………………………………...1
第二節 研究目的…………………………………………………...3
第三節 研究流程…………………………………………………...4
第貳章、文獻討論與假說發展…………………………………………5
第一節 知覺風險…………………………………………………...5
第二節 涉入理論與發展………………………………………….13
第參章、研究設計……………………………………………………..16
第一節 研究架構………………………………………………….16
第二節 操作型定義與衡量指標………………………………….17
第三節 研究範圍與對象………………………………………….21
第四節 資料分析方法…………………………………………….22
第五節 問卷設計與回收結果…………………………………….24
第肆章、 資料分析與討論…………………………………………….26
第一節 樣本資料與敘述統計…………………………………….26
第二節 涉入與知覺風險因素之萃取…………………………….27
第三節 個人屬性在知覺風險類型的差異……………………….41
第四節 涉入對知覺風險的影響………………………………….45
第伍章、結論與建議…………………………………………………. 46
第一節 學術與實務意涵………………………………………… 47
第二節 研究限制與後續方向…………………………………… 49
參考文獻………………………………………………………………. 50
附錄一 問卷……………………………………………………………58
附錄二 知覺風險相關係數表…………………………………………61
附錄三 知覺風險因素分析整理表樣式二……………………………62
參考文獻 References
Aarts, H., & Dijksterhuis, A. (2000). Habits as knowledge structures: automatici-ty in goal-directed behavior. Journal of Personality and Social Psychology, 78(1), 53-63.
Abbé-Decarroux, F. (1994). The perception of quality and the demand for servi-ces: empirical application to the performing arts. Journal of Economic B-ehavior & Organization, 23(1), 99-107.
Abbé-Decarroux, F.,& Grin. F. (1992). Risk, risk aversion and the demand for performing arts. Cultural Economics, 125-140.doi:10.1007/978-3-642-77328-0_14
Agarwal, S., & Teas, R.K. (2001). Perceived value: mediating role of perceive-d risk. Journal of Marketing Theory and Practice, 9(4),1-14.
Andreasen, A. R., & Belk, R. W. (1980). Predictors of attendance at the performing arts.Journal of Consumer Research, 7(2), 112-120.
Andrews, J. C., Durvasula, S., & Akhter, S. H. (1990). A framework for conceptualizing and measuring the involvement construct in advertising research. Journal of Advertising, 19(4), 29.
Baird, I. S., & Thomas, H. (1985). Toward a contingency model of strategic ri-sk taking. .Academy of Management Review, 10(2), 230-243.
Bauer, R. A. (1960). Consumer behavior as risk taking, in R. S. Hancock (Ed.). Dynamic marketing for a changing world. Chicago: American Marketing Association, 389-398.
Bitner, M. J. (1992). Servicescape: The impact of physical surroundings on cus-tomers and employees. Journal of Marketing, 56, 57-71.
Boris S., Aleksandra, P. K., & Damijan, M. (2004) The relationships among pe-rceived quality, perceived risk and perceived productvalue. Journal of P-roduct & Brand Management,13, 156-167.
Bouder-Pailler, D. (1999). A model for measuring the goals of theatre attendan-ce.International Journal of Arts Management, 1(2), 4–15.
Bourdieu, P. (1998). Practical reason. Cambridge: Polity Press.
Broderick, A. J., & Mueller, R. D. (1999). A theoretical and empirical exegesis of the consumer involvement construct: the psychology of the food shopper. Journal of Marketing Theory and Practice, 7(4), 97–109.
Brodie, R. J., Hollebeek, L. D., Jurić, B., & Ilić, A. (2011). Customer engagement: conceptual domain, fundamental propositions, and implications for research. Journal of Service Research, 14 (3), 252–271.
Brown, A. (2004). Smart concerts: orchestras in the age of edutainment. Issues Brief 5. Miami, Florida: John S and James L Knight Foundation.
Brown, A.,& Novak, J. (2007). Assessing the intrinsic impacts of a live perfo-rmance. Published by WolfBrown. Retrieved from http://www.wolfbrown.c-om/index.php?page=mups.
Browne, B. A., & Kaldenberg, D. O. (1997). Conceptualizing Self-monitoring: Links to Materialism and Product Involvement. Journal of Consumer Marketing, 14(1), 31-44.
Celsi, R.L., & Olson, J. C. (1988). The role of involvement in attention and co-mprehension processes. Journal of Consumer Research, 15(2), 210–224.
Chang, A. (2014). What the audiences of performing arts find most important: an examination of the attitudinal and relational marketing strategies. Budapest Management Review, l.
Chaudhuri, A. (2000). A macro analysis of the relationship ofproduct involvement and information search: the role of risk. Journal of Marketing, 64, 1-12.
Colbert, F., Nantel, J., Bilodeau, S., & Rich, J. D.(2001). Marketing culture and the arts, 2nd ed.. Montreal: Presses HEC (1st ed., 1994).
Cox, D. F. (1967). Risk handling in consumer behavior- an intensive study of two Cases, in Cox (Eds.), Risk-taking and information- handle in consumer behavior (pp. 34-81). Boston: Harvard University Press.
Crealey, M. (2003). Applying new product development models to the performing arts: strategies for managing risk. International Journal of Arts Management, 5(3), 24-33.
Crosby, L. A., & Muehling, D. D. (1983). External variables and the fishbeinmodel: mediation, moderation, or direct effects? Advances in Consumer Research, 10, 94-99.
Cunningham, S. M. (1967). The major dimension of perceived risk, in Donald F. Cox (Eds.),Risk taking and information handling in consumer behavior(pp.82-108.). Boston: Harvard Business Press.
Day, E., Stafford, M. R., & Camacho, A. (1995). Opportunities for involvement research: a scale-development approach. Journal of Advertising, 24(3), 69-75.
Dholakia, U. M. (2001). A motivational process model of product involvement and consumer risk perception. European Journal of Marketing, 35, 1340-1362.
DiMaggio, P.,& Mukhtar, T. (2004). Arts participation as cultural capital in the United States, 1982–2002: signs of decline? Poetics, 32 (2), 169–194.
DiMaggio, P., & Useem, M. (1978). Social class and arts consumption.Theory and Society, 5(2), 141-161.
Dodds, W. B., Monroe, K., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of Marketing Research, 28, 307-319.
Dowling, G. R. (1986). Perceived risk: the concept and its measurement. Psychology & Marketing, 3(3), 193–210.
Dowling, G. R., & Staelin, R. (1994). A model of perceived risk and intended risk-handling activity. Journal of Consumer Research, 21, 119-133.
Ehrenberg, A. S., & Nicosia, F. M. (1968). Consumer decision processes: marketing and advertising implications. Journal of Marketing Research, 5(3), 334. doi:10.2307/3150361
Engel, J. F., & Blackwell, R. D. (1982). Consumer behavior,(4th ed.), New York: CBS College Publishing.
Engel, J. F., Kollat, D. T., & Blackwell, R. D. (1995). Consumer behavior, (8t-h.ed.), Hinsdale, IL: The Drder Pr.
Featherman, M. S., & Pavlou, A. P. (2003). Predicting e-service adoption: a pe-rceived risk facets perspective. International Journal of Human-Computer Studies, 59,451-474.
Finn, A. (1985). A theory of the consumer evaluation process for new product concepts. Research in Consumer Behavior, 35-65.
Garretson, J. A. & Clow, K. E. (1991). The influence of coupon face value on service qualityexpectations, risk perceptions and purchase intentions in the dental industry. Journal of Service Marketing, 13(1), 59-72.
Grove, S. J.,& Fisk, R. P. (1997). The impact of other customers on service ex-periences: a critical incident examination of “getting along”. Journal of Retailing, 73(1), 63–85.
Guilford, J. (1956). Fundamental statistics in psychology and education 3rd ed., New York: McGraw-Hill.
Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (1992). Multivariate data analysis (6th ed.). New York: Macmillan.
Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate data analysis: A global perspective (7th ed.), Upper Saddle River. New Jersey: Pearson Prentice Hall.
Harman, H. H. (1976). Modern factor analysis. Chicago: University Of Chicago Press.
Hewson, C., Yule, P., Laurent, D., & Vogel, C. (2003). Internet research methods: a practical guide for the social and behavioral sciences. London: Sage.
Hirschman, E. C. (1983). Aesthetics, ideologies and the limits of the marketing concepts, Journal of Marketing, 47(3), 45-55.
Howard, J. A. & Sheth, J. N. (1969). The theory of buyer behavior. New York: Wiley
Hume, M. & Mort, S. (2008). Satisfaction in performing arts: the role of value? European Journal of Marketing, 42(3/4), 311-326.
Hume, M. &Mort, S. (2010). The consequence of appraisal emotion, service quality, perceived value and customer satisfaction on repurchase intent in the performing arts. Journal of Services Marketing, 24(2), 170-182.
Hume, M. (2008). Understanding core and peripheral service quality in customer repurchase of the performing arts. Managing Service Quality: An International Journal, 18(4), 349-369.
Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk, proceedings of 3ed annual conference. Association for Consumer Research, 382-393.
Johnson, M. S., Sivadas, E., & Garbarino, E. (2008). Customer satisfaction, perceived risk and affective commitment: an investigation of directions of influence. Journal of Services Marketing, 22(5), 353–362.
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31-36.
Koch, N. S., & Emrey, J. A. (2001). The internet and opinion measurement: surveying marginalized populations. Social Science Quarterly, 82(1), 131-138.
Korgaonkar, P. K., & Moschis, G. P. (1982). An experimental study of cognitive dissonance, product involvement, expectations, performance and consumer judgement of product performance. Journal of Advertising, 11(3), 32-44.
Kotler, P. T. (2000). Marketing management: the millennium edition. NJ: Prentice Hall.
Laurent, G., & Kapferer, J. (1985). Measuring consumer involvement profiles. Journal of Marketing Research, 22, 41-53.
Levy, S., & Nebenzahl, I.D. (2006). Program involvement and interactive behavior in interactive television. International Journal of Advertising, 25 (3), 309–332.
Lord, K.R., & Burnkrant, R. E. (1993). Attention versus distraction: the interactive effect of program involvement and attentional devices on commercial processing.Journal of Advertising, 22, 47–60.
Lumpkin, J.R. (1985). Shopping orientation segmentation of the elderly consu-mer.Journal of Academy of Marketing Science, 13(2), 271-289.
Massey, W. F., Montgomery, D. B., & Morrison, D. G. (1970). Stochastic models of buyer behavior. Cambridge:MIT Press,.
Mencarelli, R. (2008). Conceptualizing and measuring the perceived value of an arts venueas applied to live performance. International Journal of Arts Management, 11(1), 42-59.
Mitchell, A. A. (1979). Involvement: a potentially important mediator of consumer behavior. Advances in Consumer Research, 6, 191-196.
Mitchell, V. (1999).Consumer perceived risk: conceptualisations and models. European Journal of Marketing, 33(1/2), 163-195.
Mitchell, V. W. (2014). 30 Years of perceived risk: some research issues. In Elizabeth &B. Wilson (Eds.), Proceedings of the 1994 Academy of Marketing Science (AMS) Annual Conference (pp. 350-355). Springer International Publishing.
Mitchell, V. W., &Boustani, P. (1994). A preliminary investigation into pre‐ and post‐purchase risk perception and reduction. European Journal of Marketing, 28(1), 56 – 71.
Monroe, K. B., and Krishnan, R. (1985). The effect of price on subjective produ‐ct evaluations in perceived quality. MA: Lexington Books.
Murphy, P. E., & Enis, B. M. (1986). Classifying products strategically. Journal of Marketing, 50, 24-42.
Nunally, J. C. (1978). Psychometric theory. New York: McGraw-hill.
Pick, J. (1989). Arts administration. London: New York.
Radbourne, J., Johanson, K., Glow, H., & White, T. (2009). The audience experience: measuring quality in the performing arts. International Journal of Arts Management, 11(3), 16-29.
Rau, P., & Samiee, S. (1981). Models of consumer behavior: the state of the a-rt. Journal of the Academy of Marketing Science, 9(3), 300-316.
Reynolds, F. D., & Darden, W. R. (1974).Construing life style and psychographics. In W. D. Wells (Eds.), Life Style and Psychographics(pp. 74-76). Chicago: American Marketing Association.
Richins, M. L., Bloch, P. H., & McQuarrie, E.F. (1992). How enduring and situational involvement combine to create involvement responses. Journal of Consumer Psychology, 1(2), 143‐53.
Ruyter, K., Wetzels, M., & Kleijnen, M. (2001). Customer adoption if e-service: an experimental study. International Journal of Service Industry Management, 12(2), 184-207.
Sinha, I., & Batra, R. (1999). The effect of consumer price consciousness on private label purchase. International Journal of Researching Marketing, 16(3), 237-251.
Slama, M. E. & Tashchian, A. (1985). Selected socioeconomic and demographic characteristics associated with purchasing involvement. Journal of Marketing, 49, 72–82.
Stone, R. N., & Gronhaug, K. (1993). Perceived risk: further considerations for the marketing discipline. European Journal of Marketing, 27(3), 39-50.
Sweeney, J. C., Geoffrey N. S., & Lester W. J. (1999). The role of perceived risk in the quality-value relationship: a study in a retail environment. Journal of Retailing, 75(1), 77-105.
Taylor, J. W. (1974). The role of risk in consumer behavior. Journal of Marketing, 38(4),54-60.
Teas, K. R., & Sanjeev A. (2000). The effect of extrinsic product cues on consumers’ perceptions of quality, sacrifice, and value. Journal of the Academy of Marketing Science, 28(2), 278-290.
Teo, T. S., & Yeong, Y. D. (2003). Assessing the consumer decision process in the digital marketplace. The International Journal of Management Science, 31(5), 349-363.
Throsby, C. D., & Withers, G. A. (1983).Measuring the demand for the arts as a public good.Economic Support for the Arts, 3, 37-52.
Triandis, H. C. (1977).Cross-cultural social and personality psychology. Personality and Social Psychology Bulletin, 285, 418–434.
Troilo, G., Cito, M. C., & Soscia, I. (2014). Repurchase behavior in the performing arts: do emotions matter without involvement? Psychology & Marketing, 31(8), 635–646.
Tsung, C. C., & Wen, W. J. (2011). Determinants of performing arts attendance in Taiwan: a multivariate probit analysis. Applied Economics Letters, 18(15), 1437-1442.
Venkatraman, M. P. (1989). Involvement and risk. Psychology and Marketing, 6(3), 229‐47.
Willis, K. G., & Snowball, J. D. (2009). Investigating how the attributes of live theatre productions influence consumption choices using conjoint analysis: the example of the National Arts Festival, South Africa. Journal of Cultural Economics, 33(3), 167-183.
Wortzel, L. (1979). Multivariate analysis. New Jersey:Prentice Hall.
Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12, 341-352.
Zaichkowsky, J. L. (1994). The personal involvement inventory: reduction, revision, and application to advertising. Journal of Advertising, 23(4), 59–70.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of Marketing, 52, 2-22.
吳萬益、林清河(2002)。行銷研究。台北:華泰。
李宗儒、徐意翔(2012)。從消費者行為探討表演藝術之策略發展方向-以現代戲劇為例。行銷評論,9(4),443-462。
邢瑜(2006)。臺灣表演藝術非營利組織之行銷關係研究。行政暨政策學報,42,183-234。
高登第(譯)(1998)。票房行銷:菲利浦科特勒談表演藝術行銷策略(原作者:Kotler Philip and Scheff Joanne)。台北:遠流。(原著出版年:1997)
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:自定論文開放時間 user define
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code