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標題: 影響消費者參與網路合購關鍵因素之研究
To determine the key factors that influence consumers to join the group purchasing online
作者: 胡靖雅
Hu, Ching-Ya
關鍵字: Group purchasing;動機;Motivation;Originator;Categorization of commodities;Perceive risk;Fuzzy AHP;Place;Internet;主購特徵;知覺風險;商品類別;Fuzzy AHP;通路網路
出版社: 電子商務研究所
引用: 1.Bennett, R. and Rundle-Thiele, S.R. (2002),“A comparison of attitudinal loyalty measurement approaches”, Journal of Brand Management, Vol. 9 No. 3, pp. 193-209. 2.Blackwell,Miniard and Engel(2001), “Consumer Behavior”, 9th , p. 85 3.B.K. Mohanty*, B. Bhasker (2003), “Product classification in the Internet business—a fuzzy approach”, Indian Institute of Management, Vol. 38, p. 611 4.Britt, Steuart Henderson (1950), “The Strategy of Consumer Motivation” , Journal of Marketing. New York, Vol. 14, p. 666 5.Buckley, J.J. (1985), “Fuzzy Hierarchical Analysis”, Fuzzy Sets and Systems, Vol. 17, pp. 233-247. 6.Christos Ioannidis; Mick Silver (1997), “Estimating the worth of product characteristics”, Journal of the Market Research Society, Vol. 39, p. 559 7.Dubois D. and Prade H. (1978),”Operations on Fuzzy Numbers”, International Journal of System Science, Vol. 9, No. 1, pp. 613-626. 8.Deng Zhen Yuan, Tseng Kwok Hung(1989),” Analytical Hierarchy Process (AHP)of content characteristic and application(Part 1)', Chinese Statistical Report,27 chapter of 6 edition,pp. 5-22 9.Deng Zhen Yuan (2002), “Project evaluation: Methods and Applications”, Ocean University of operation planning and management research center 10.Devon DelVecchio (2001), “Consumer perceptions of private label quality: the role of product category characteristics and consumer use of heuristics”, Journal of Retailing and Consumer Services, Vol.8, pp. 239-249 11.DTLR(2001), Local authority procurement: a research report. Department for Transport, Local Government and the Regions, London 12.Engel, J. F., R. D. Blackwell , and D.T. Kollat(1993), Consumer Behavior, 7th ed., N. Y.: Dryden Press. 13.Feng King Yuan (1996), Work research, Big sea book store 14.Granovetter, M (1985). “Economic action and social structure: The problem of embedded ness”, American Journal of Sociology (91:3), pp. 481-510 15.Hendrick, T.E.(1997), Purchasing Consortiums: Horizontal Alliances Among Firms Buying Common Goods and Services: What? Who? Why? How? CAPS, Arizona. 16.Henry Assael (1974), “Product classification and the theory of consumer Behavior”, Academy of Marketing Science. Journal, Vol.4, p. 539 17.Hoover, R. J., R. T. Green and Joel Saegert (1978), “A Cross - National Study of Perceived”, Journal of Marketing, pp.102-108. 18.Hoffman, D. L.; Novak, T.P, and Peralta, M (1999), “Building consumer trust online”, Communications of the ACM, Vol. 4, pp. 80-85 19.Institute for Information in Industry,, assessed on 2005/10/3 20.Jean Nolleta, Martin Beaulieu(2003), The development of group purchasing: an empirical study in the healthcare sector, Journal of Purchasing & Supply Management 9 ,pp 3-10 21.Jeremy Pincus (2004), “The consequences of unmet needs: The evolving role of motivation in consumer research”, Journal of Consumer Behavior. London, Vol. 3, p. 375 22.John C. Mowen & Michael S. Minor(2001), consumer behavior: a framework Prentice Hall 23.Julie E Francis; Lesley White (2004), “Value across fulfillment-product categories of internet shopping”, Managing Service Quality, Vol. 14, p. 226 24.Kannan, P. K. and Kopalle, P. K.(2001) ,”Dynamic Pricing on the Internet: Importance and Implications for Consumer Behavior,” International Journal of Electronic Commerce, Vol. 5, No. 3, pp.63-83. 25.Kaufmann, A. and Gupta (1991), M. M., ”Introduction to fuzzy arithmetic: Theory and application”, Van Nostrand Reinhold, New York 26.Kauffman, R. J. and Wang (2000), B., “New Buyers' Arrival Under Dynamic Pricing Market Microstructure: The Case of Group-Buying Discounts on the Internet,” Journal of Management Information System, Fall 2001, Vol. 18, No. 2, pp. 157-188. 27.Karin Braunsberger; R Brian Buckler, “The effects of source and product characteristics on the form of advertising”, American Marketing Association. Conference Proceedings, vol. 11, p. 125 28.Lee, M.K.O., and Turban, E (2001), “A trust model for customer Internet shopping”, International journal of Electronic commerce, Vol. 6, pp. 75-92. 29.Leo R Vijayasarathy (2002), “Product characteristics and Internet shopping intentions”, Internet Research, Vol. 12, p. 411 30.MacInnis, Deborah J., Moorman, Christine, Jaworski, Bernard J (1991), “Enhancing and Measuring Consumers'' Motivation, Opportunity”, Journal of Marketing, Vol. 55, Iss. 4; p. 32 31.Miracle, Gordon E (1965),” Product Characteristics and Marketing Strategy”, Journal of Marketing, pp. 18 32.Mark J. Arnold and Kristy E. Reynolds, “Hedonic shopping motivations”, Journal of Retailing, Vol 79, , pp 77-95 33.Narasimhan, R. (1983),”An Analytical Approach to Supplier Selection”, Journal of Purchasing and Materials Management, Vol.19, No.4, pp. 27-32. 34.Parks associates,, assessed on 2006/1/6 35.Patrick E. Murphy, Ben M. Enis (1986), “Classifying Products Strategically”, Journal of Marketing, Vol. 50, p. 42 36.Robert N. Stone, Kjell Gronhauh (1992), “Perceived Risk : Further Considerations for the Marketing Discipline”, European Journal of Marketing, Vol. 27, pp. 39-50 37.Rozemeijer, F (2000), How to manage corporate purchasing synergy in a decentralized company? towards design rules for managing and organising purchasing synergy in decentralised companies. European Journal of Purchasing & Supply Management, pp5-12. 38.Sheu Jiuh-Biing (2004), “A hybrid fuzzy-based approach for identifying global logistics strategies”, Transportation Research Part E, pp. 39-61 39.Sung-Joon Yoon (2002), “The antecedents and consequences of trust in online-purchase decisions”, Journal of Interactive Marketing, Vol. 6, p. 47 40.Saaty, T. L. (1980), “The Analytic Hierarchy Process-Planning, Priority Setting, Resource Allocation”, McGraw-Hill, New York ,p. 54 41.Shimp, T. A. and W. O. Bearden (1982), “Warranty and Other Extrinsic Cue Effects on Consumers' Risk Perception”, Journal of Consumer Research, Vol. 9, pp.38-46. 42.Tan, S. J. (1999), “Strategies for Reducing Consumers Risk Aversion in Internet Shopping”, Journal of Consumer Marketing, Vol. 16, No. 2, pp. 163-180. 43.Taylor, J. W. (1974), “The Role of Risk in Consumer Behavior”, Journal of Marketing, Vol. 38, pp. 54-60. 44.Westbrook and Black (1985), “A Motivation-Based Shopper Typology”, Journal of Retailing, Greenwich, Vol. 61, Is. 1 45.Yooncheong Cho; Il Im; Jerry Fjermestad; Starr Roxanne Hiltz (2003), “The impact of product category on customer dissatisfaction in cyberspace”, Business Process Management Journal, Vol. 9, p. 635 46.Zadeh, L. A. (1965),”Fuzzy Sets”, Information and Control, Vol. 8, pp. 338-353. 47.Zadeh, L.A. (1975),”The Concept of a Linguistic Variable and its Application to Approximate Reasoning”, Information Science, No.8, pp. 199-249
因此,為瞭解影響消費者加入網路合購團之因素,本研究經由文獻探討及實地參與合購之經驗,進而整理出動機、主購特徵、商品類別以及知覺風險等四大因素,並經由Fuzzy AHP分析法,計算出各個因素之重要性。而在最終權重的計算,本研究整理出「部份繼承」、「完全繼承」以及「完全獨立」等三種不同的研究假設,並分別計算最終權重。而以「完全獨立」法之結果對於網路合購之現況的解釋能力最佳。
研究結果顯示,X3(賣家信譽), X6(產品單價),X7(產品重要程度), X1(對主購的信任), X2(對主購的滿意度), X10(財務風險), X12(績效風險), X22(經濟樂趣)等8項因素對於消費者參與合購之影響力最大。並建議未來主購開團時應注意以下事項:(1) 累積開團經驗 (2) 檢視自我能力 (3) 審慎選擇合購物 (4) 審慎選擇賣家;而對有興趣切入合購市場的賣家則需在:(1)產品單價 (2)價格曲線 (3)維護自身良好信譽等三項要點做修正。

“Group purchasing” this trading mode has adopted in our daily life, However, group purchasing does not work effectively under the situation that few people group together to ask for a certain commodity because of insufficient interpersonal relations, the area barriers, or restricted access to commodity information. The well-known trade mode that reduces unit price by increasing quantity of demand thus lacks feasibility.
The popularized Internet service removes the stumbling stone for group purchasing. It allows universal consumers of common interests and demand to form purchase groups. Consumer can negotiated price to have the benefit of economic scale or share some expenses through “group purchasing”.
Group purchasing has advantages, such as the economy of scale, cheaper shipping, and better services; however, the complex process of unifying purchase group made it risky.
Therefore for the purpose of understanding the key factors that influence consumers to join the group purchasing online, this research arranges the constructs of “characteristics of the originator”, “categorization of commodities”, “perceive risk”, and “motivation” by literature review and real experience of group purchasing. And use FAHP to calculate the weight of each factor. This research arranges three kinds of research assumption to calculate of whole layer weight, they are “partial inherit”, “totally inherit”, and “complete independent”. And the result shows “complete independent” has the best explain ability for group purchasing.
According to the analyze result, we find eight factors X3(Seller''s prestige), X6(Product unit price),X7(Products important degree), X1(Trust in the originator), X2(Satisfaction with the originator), X10(Financial Risk), X12(Performance Risk), X22(Economic enjoyment) which will effect the inclination for consumer to join group purchasing. And this research suggested the future originator should (1) Accumulate make group''s experience, (2) Look over self- ability, (3) Be care choosing shopping jointly, (4) Be care choosing the seller; and the sellers should attention of (1) Product unit price, (2) Attractive price curve and (3) Maintain the own good prestige.
Group purchasing online not only reduces the cost of consumer but also a new channel for sellers. This research studies on the key factors that influence consumers to join the group purchasing online, hopes the result can help the future originator to hold the purchasing group easily, and support sellers to expand the new market of group purchasing.
其他識別: U0005-1707200622104300
Appears in Collections:科技管理研究所

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