Araştırma Makalesi
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Tüketicilerin Açık Artırma Siteleri Hakkındaki Tutumlarını Belirlemeye Yönelik Bir Uygulama

Yıl 2022, Cilt: 30 Sayı: 54, 269 - 289, 25.10.2022
https://doi.org/10.17233/sosyoekonomi.2022.04.15

Öz

Literatürde bu konuda yapılan çalışmaların eksikliği nedeniyle konu ele alınmıştır. Çalışma; tüketicilerin alışveriş alışkanlıkları ile çevrimiçi açık artırma hizmetlerinin kullanımı, hizmet kalitesinde yaşanan sorunların belirlenmesi, tüketicinin istek ve ihtiyaçlarının belirlenerek tüketicilere uygun zaman tasarrufu sağlayan ve yenilikçi hizmetin oluşturulması amacıyla hazırlanmıştır. Tüketiciden tüketiciye açık artırma sistemlerine kapsamlı yaklaşmayı, tüketicilerin e-açık artırma siteleri hakkındaki tutumlarını belirlemeyi amaçladığı için önem arz etmektedir. Anket yöntemi kullanılarak veri toplanmış ve toplanan veriler üzerinde faktör ve Anova analizi uygulaması yapılmıştır. Tüketicilerin açık artırma siteleri hakkındaki düşünceleri “güven”, “satın alma süreci”, “rekabet”, “bütçe” faktörleri çerçevesinde değerlendirilmiştir. Tüketicilerin faktör ve Anova testleri ile tüketici davranışları üzerinde “güven” P: 0,047 < 0,05 gelire bağlı olarak anlamlı şekilde farklılık gösterdiği, “satın alma süreci” P: 0,013 < 0,05 yaşa bağlı olarak anlamlı farklılık olduğu, “rekabet”, P:0,032 <0,05 cinsiyete bağlı olarak anlamlı, “bütçe” P: 0,046 < 0,05) gelire ve eğitime (F: 3, 422 - P: 0,031 <0,05) bağlı olarak anlamlı bir şekilde farklılık gösterdiği tespit edilmiştir.

Destekleyen Kurum

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Proje Numarası

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Kaynakça

  • Abdul G.E. et al. (2011), “Emic and etic interpretations of engagement with a consumer-to-consumer online auction site”, Journal of Business Research, 64, 1060-1066.
  • Andrews, T. & C. Benzing (2007), “The determinants of price in internet auctions of used cars”, Atlantic Economic Journal, 35(1), 43-57.
  • Angeloni, S. & C. Rossi (2021), “An analytical model for comparing the profitability of competing online marketing channels: Search engine marketing versus e-commerce marketplace”, Journal of Marketing Theory and Practice, 29(4), 534-549.
  • Arefeva, A. & D. Meng (2021), “Revealing information in auctions: The optimal auction versus the second-price auction”, Economics Letters, 204, 1-4.
  • Ashenfelter, O. (1989), “How auctions work for wine and art”, Journal of Economic Perspectives, 3(3), 23-36.
  • Back, K. & J.F. Zender (1993), “Auctions of divisible goods: On the rationale for the treasury experiment”, The Review of Financial Studies, 6(4), 733-764.
  • Bajari, P. & J. Yeo (2009), “Auction design and tacit collusion in FCC spectrum auctions”, NBER Working Paper Series: 14441.
  • Bakos, J.Y. (1997), “Reducing buyer search costs: Implications for electronic marketplaces”, Management Science, 43(12), 1676-1692.
  • Baranowski, P. et al. (2018), “Whose feedback matters? Empirical evidence from online auctions”, Applied Economics Letters, 25(17), 1226-1229.
  • Bei, L.T. & M.Y. Chen (2015), “The effects of hedonic and utilitarian bidding values on e-auction behavior”, Electronic Commerce Research, 15(4), 483-507.
  • Boyacıgil, B. (2008), “İnternette pazarlama açısından müzayede siteleri ve tüketicilerin müzayede siteleri hakkındaki tutumları”, Yüksek Lisans Tezi, Yıldız Teknik Üniversitesi, Sosyal Bilimler Enstitüsü.
  • Branco, F. (2001), “On the superiority of the multiple round ascending bid auction”, Economics Letters, 70(2), 187-194.
  • Cason, T.N. & L. Gangadharan (2004), “Auction design for voluntary conservation programs”, American Journal of Agricultural Economics, 86(5), 1211-1217.
  • Chang, H.H. (2010), “Task-technology fit and user acceptance of online auction”, International Journal of Human-Computer Studies, 68(1-2), 69-89.
  • Che, Y.K. (1993), “Design Competition through Multidimensional Auctions”, The RAND Journal of Economies, 24(4), 668-680.
  • Chen, C.C. & J.Y. Yao (2018), “What drives impulse buying behaviors in a mobile auction? The perspective of the Stimulus-Organism-Response model”, Telematics and Informatics, 35(5), 1249-1262.
  • Chen, J.V. et al. (2016), “The antecedents of purchase and re-purchase intentions of online auction consumers”, Human Behavior, 54, 186-196.
  • Chiou, L. & J. Pate (2018), “Trust, reputation and bidding behaviour in online mystery auctions”, Applied Economics Letters, 25(10), 702-706.
  • Chu, H. & S. Liao (2007), “Exploring consumer resale behavior in C2C online auctions: taxonomy and influences on consumer decisions”, Academy of Marketing Science Review, 11(3), 1-25.
  • Coatney, K.T. et al. (2012), “Auction prices, market share, and a common agent”, Journal of Economic Behavior, 81(1), 61-73.
  • Cramton, P. et al. (1987), “Dissolving a partnership efficiently”, Econometrica, 55(3), 615-632.
  • Cui, X. et al. (2008), “Research on consumer behaviour in online auctions: Insights from a critical literature review”, Electronic Markets, 18(4), 345-361.
  • Cypryjański, J. & A. Grzesiuk (2016), “Herd behaviour in online auctions: A case study”, 10th European Conference on Information System Management Proceedings, The University of Evora, 45-51.
  • Daniels, K.N. & J. Vijayakumar (2007), “The impact of electronic auctions and auction types on the market for municipal bonds”, Municipal Finance Journal, 28(2), 25-47.
  • Daripa, A. & S. Kapur (2001), “Pricing on the Internet”, Oxford Review of Economic Policy, 17(2), 202-216.
  • Dasgupta, S. & R.G. Hansen (2007), “Auctions in corporate finance”, Handbook of Empirical Corporate Finance, 1, 87-143.
  • Denton, J.R. & S.L. Rev (2007), “Stacked deck: Go-Shop and auction theory”, Stanford Law Review, 60(5), 1529-1553.
  • Ethier, R. et al. (1999), “A uniform price auction with locational price adjustments for competitive electricity markets”, International Journal of Electrical Power & Energy Systems, 21(2), 103-110.
  • Etzion, O. et al. (2004), “E-CLV: a modelling approach for customer lifetime evaluation in e-commerce domains, with an application and case study for online auctions”, Information System Frontiers, 7(4-5), 421-434.
  • Flanagin, A.J. & M.J. Metzger (2007), “The role of the sites features, user attributes, and information verification behaviours on the perceived credibility of web-based information”, New Media and Society, 9(2), 319-342.
  • Ginsburgh, V. et al. (2010), “On the incidence of commissions in auction markets”, International Journal of Industrial Organization, 28(6), 639-644.
  • Graham, D. & R.C. Marshall (1987), “Collusive bidder behavior at single object second-price and English auctions,” Journal of Political Economy, 95(6), 1217-1239.
  • Gregg, D.G. & S. Walczak (2003), “E-commerce auction agents and online auction dynamics”, Electronic Markets, 13(3), 242-250.
  • Grimm, V. (2007), “An introduction to the structural econometrics of auction data”, Journal of Economics, 92(2), 205-208.
  • Guillotreau, P. & R.J. Toribio (2011), “The price effect of expanding fish auction markets”, Journal of Economic Behavior, 79(3), 211-225.
  • Güler, E. (2005), “Müzayede Teorisi, Türkiye’de Uygulaması: Telekom Örneği”, Yüksek Lisans Tezi, Uludağ Üniversitesi, Sosyal Bilimler Enstitüsü.
  • Hendricks, K. & R.H. Porter (1989), “Collusion in auctions”, Annales d’Economic et de Statisque, 15/16, 217-230.
  • Herschlag, M. & R. Zwick (2000), “Internet auctions-popular and professional literature review”, Quarterly Journal of Electronic Commerce, 1(2), 161-186.
  • Hossain, M.A. et al. (2018), “How signaling mechanisms reduce “lemons” from online group buying (OGB) markets? A study of China”, International Journal of Physical Distribution & Logistics Management, 48(7), 658-681.
  • Hou, J. & K. Elliott (2016), “Gender differences in online auctions”, Electronic Commerce Research and Applications, 17, 123-133.
  • Isaac, R.M. & C.R. Plott (1981), “Price controls and the behavior of auction markets: An experimental examination”, The American Economic Review, 71(3), 448-459.
  • İslamoğlu, A.H. (2003), Bilimsel Araştırma Yöntemleri, Literatür Yayıncılık.
  • Jafari, M. & A.A. Foroud (2020), “A medium/long-term auction-based coalition-forming model for a virtual power plant based on stochastic programming”, International Journal of Electrical Power & Energy, 118, 1-16.
  • Jiang, W. et al. (2019), “Research on the influence factors of consumer repurchase in Dutch auction”, Lecture Notes in Computer Science, 330-338.
  • Joines, J.L. et al. (2003), “Exploring motivations for consumer Web use and their implications for eCommerce”, Journal of Consumer Marketing, 20(2), 90-198.
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An Application on Determining the Consumers' Attitudes Towards Auction Sites

Yıl 2022, Cilt: 30 Sayı: 54, 269 - 289, 25.10.2022
https://doi.org/10.17233/sosyoekonomi.2022.04.15

Öz

The context was discussed due to the deficiencies in the literature and current issue on this subject. The study aims to determine consumers’ shopping habits with online auction services, specify the problems experienced in service quality, and create an innovative and time-saving service suitable for consumers by choosing their wishes and needs. This study is significant as it aims to comprehensively approach consumer-to-consumer auction systems and determine consumers' attitudes towards e-auction sites. Data were collected using the survey method, and the factor and Anova analysis were applied to the collected data. Consumers' opinions about auction sites were evaluated within the framework of factors such as “trust”, “purchasing process”, “competition”, and “budget”. According to aspect and Anova tests of consumers on consumer behaviour; it is revealed that “Trust” with P: 0.047 < 0.05 shows a significant difference depending on income, and “purchasing process” with P: 0.013 < 0.05 has a considerable difference depending on age, “competition” with P:0.032 <0.05 has a significant difference depending on gender, “budget” with P: 0.046 < 0.05 has a considerable difference depending on income and education (F: 3.422 - P: 0.031 <0.05).

Proje Numarası

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Kaynakça

  • Abdul G.E. et al. (2011), “Emic and etic interpretations of engagement with a consumer-to-consumer online auction site”, Journal of Business Research, 64, 1060-1066.
  • Andrews, T. & C. Benzing (2007), “The determinants of price in internet auctions of used cars”, Atlantic Economic Journal, 35(1), 43-57.
  • Angeloni, S. & C. Rossi (2021), “An analytical model for comparing the profitability of competing online marketing channels: Search engine marketing versus e-commerce marketplace”, Journal of Marketing Theory and Practice, 29(4), 534-549.
  • Arefeva, A. & D. Meng (2021), “Revealing information in auctions: The optimal auction versus the second-price auction”, Economics Letters, 204, 1-4.
  • Ashenfelter, O. (1989), “How auctions work for wine and art”, Journal of Economic Perspectives, 3(3), 23-36.
  • Back, K. & J.F. Zender (1993), “Auctions of divisible goods: On the rationale for the treasury experiment”, The Review of Financial Studies, 6(4), 733-764.
  • Bajari, P. & J. Yeo (2009), “Auction design and tacit collusion in FCC spectrum auctions”, NBER Working Paper Series: 14441.
  • Bakos, J.Y. (1997), “Reducing buyer search costs: Implications for electronic marketplaces”, Management Science, 43(12), 1676-1692.
  • Baranowski, P. et al. (2018), “Whose feedback matters? Empirical evidence from online auctions”, Applied Economics Letters, 25(17), 1226-1229.
  • Bei, L.T. & M.Y. Chen (2015), “The effects of hedonic and utilitarian bidding values on e-auction behavior”, Electronic Commerce Research, 15(4), 483-507.
  • Boyacıgil, B. (2008), “İnternette pazarlama açısından müzayede siteleri ve tüketicilerin müzayede siteleri hakkındaki tutumları”, Yüksek Lisans Tezi, Yıldız Teknik Üniversitesi, Sosyal Bilimler Enstitüsü.
  • Branco, F. (2001), “On the superiority of the multiple round ascending bid auction”, Economics Letters, 70(2), 187-194.
  • Cason, T.N. & L. Gangadharan (2004), “Auction design for voluntary conservation programs”, American Journal of Agricultural Economics, 86(5), 1211-1217.
  • Chang, H.H. (2010), “Task-technology fit and user acceptance of online auction”, International Journal of Human-Computer Studies, 68(1-2), 69-89.
  • Che, Y.K. (1993), “Design Competition through Multidimensional Auctions”, The RAND Journal of Economies, 24(4), 668-680.
  • Chen, C.C. & J.Y. Yao (2018), “What drives impulse buying behaviors in a mobile auction? The perspective of the Stimulus-Organism-Response model”, Telematics and Informatics, 35(5), 1249-1262.
  • Chen, J.V. et al. (2016), “The antecedents of purchase and re-purchase intentions of online auction consumers”, Human Behavior, 54, 186-196.
  • Chiou, L. & J. Pate (2018), “Trust, reputation and bidding behaviour in online mystery auctions”, Applied Economics Letters, 25(10), 702-706.
  • Chu, H. & S. Liao (2007), “Exploring consumer resale behavior in C2C online auctions: taxonomy and influences on consumer decisions”, Academy of Marketing Science Review, 11(3), 1-25.
  • Coatney, K.T. et al. (2012), “Auction prices, market share, and a common agent”, Journal of Economic Behavior, 81(1), 61-73.
  • Cramton, P. et al. (1987), “Dissolving a partnership efficiently”, Econometrica, 55(3), 615-632.
  • Cui, X. et al. (2008), “Research on consumer behaviour in online auctions: Insights from a critical literature review”, Electronic Markets, 18(4), 345-361.
  • Cypryjański, J. & A. Grzesiuk (2016), “Herd behaviour in online auctions: A case study”, 10th European Conference on Information System Management Proceedings, The University of Evora, 45-51.
  • Daniels, K.N. & J. Vijayakumar (2007), “The impact of electronic auctions and auction types on the market for municipal bonds”, Municipal Finance Journal, 28(2), 25-47.
  • Daripa, A. & S. Kapur (2001), “Pricing on the Internet”, Oxford Review of Economic Policy, 17(2), 202-216.
  • Dasgupta, S. & R.G. Hansen (2007), “Auctions in corporate finance”, Handbook of Empirical Corporate Finance, 1, 87-143.
  • Denton, J.R. & S.L. Rev (2007), “Stacked deck: Go-Shop and auction theory”, Stanford Law Review, 60(5), 1529-1553.
  • Ethier, R. et al. (1999), “A uniform price auction with locational price adjustments for competitive electricity markets”, International Journal of Electrical Power & Energy Systems, 21(2), 103-110.
  • Etzion, O. et al. (2004), “E-CLV: a modelling approach for customer lifetime evaluation in e-commerce domains, with an application and case study for online auctions”, Information System Frontiers, 7(4-5), 421-434.
  • Flanagin, A.J. & M.J. Metzger (2007), “The role of the sites features, user attributes, and information verification behaviours on the perceived credibility of web-based information”, New Media and Society, 9(2), 319-342.
  • Ginsburgh, V. et al. (2010), “On the incidence of commissions in auction markets”, International Journal of Industrial Organization, 28(6), 639-644.
  • Graham, D. & R.C. Marshall (1987), “Collusive bidder behavior at single object second-price and English auctions,” Journal of Political Economy, 95(6), 1217-1239.
  • Gregg, D.G. & S. Walczak (2003), “E-commerce auction agents and online auction dynamics”, Electronic Markets, 13(3), 242-250.
  • Grimm, V. (2007), “An introduction to the structural econometrics of auction data”, Journal of Economics, 92(2), 205-208.
  • Guillotreau, P. & R.J. Toribio (2011), “The price effect of expanding fish auction markets”, Journal of Economic Behavior, 79(3), 211-225.
  • Güler, E. (2005), “Müzayede Teorisi, Türkiye’de Uygulaması: Telekom Örneği”, Yüksek Lisans Tezi, Uludağ Üniversitesi, Sosyal Bilimler Enstitüsü.
  • Hendricks, K. & R.H. Porter (1989), “Collusion in auctions”, Annales d’Economic et de Statisque, 15/16, 217-230.
  • Herschlag, M. & R. Zwick (2000), “Internet auctions-popular and professional literature review”, Quarterly Journal of Electronic Commerce, 1(2), 161-186.
  • Hossain, M.A. et al. (2018), “How signaling mechanisms reduce “lemons” from online group buying (OGB) markets? A study of China”, International Journal of Physical Distribution & Logistics Management, 48(7), 658-681.
  • Hou, J. & K. Elliott (2016), “Gender differences in online auctions”, Electronic Commerce Research and Applications, 17, 123-133.
  • Isaac, R.M. & C.R. Plott (1981), “Price controls and the behavior of auction markets: An experimental examination”, The American Economic Review, 71(3), 448-459.
  • İslamoğlu, A.H. (2003), Bilimsel Araştırma Yöntemleri, Literatür Yayıncılık.
  • Jafari, M. & A.A. Foroud (2020), “A medium/long-term auction-based coalition-forming model for a virtual power plant based on stochastic programming”, International Journal of Electrical Power & Energy, 118, 1-16.
  • Jiang, W. et al. (2019), “Research on the influence factors of consumer repurchase in Dutch auction”, Lecture Notes in Computer Science, 330-338.
  • Joines, J.L. et al. (2003), “Exploring motivations for consumer Web use and their implications for eCommerce”, Journal of Consumer Marketing, 20(2), 90-198.
  • Kalaycı, Ş. (2008), SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri, Asil Yayın Dağıtım.
  • Kandel, S. et al. (2001), “Do investors prefer round stock prices? Evidence from Israeli IPO auctions”, Journal of Banking &Finance, 25(8), 1543-1551.
  • Kauffman, R.J. & C.A. Wood (2006), “Doing their bidding: An empirical examination of factors that affect a buyer's utility in internet auctions”, Information Technology and Management, 7(3), 171-190.
  • Kauffman, R.J. et al. (2010), “Incentive mechanisms, fairness and participation in online group-buying auctions”, Electronic Commerce Research and Applications, 9(3), 249-262.
  • Keller, J.L. (2006), “Beef cattle producers' perceptions and behaviors towards website credibility”, MSc Thesis, Texas Tech University Agricultural Education.
  • Kersten, G.E. et al. (2000), “Are all e-commerce negotiations auctions?”, COOP'2000: Fourth International Conference on the Design of Cooperative Systems, Sophia-Antipolis, 1-11, France.
  • Kim, S.S. (2020), “Purchase intention in the online open market: Do concerns for e-commerce really matter?”, Sustainability, 12(3), 773-794.
  • Klemperer, P. (1998), “Auctions with almost common values: The wallet game and its applications”, European Economic Review, 42(3-5), 757-769.
  • Koç, Ş.A. (2007), “Açık artırma teorisi üzerine bir araştırma”, Kocaeli Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 14(2), 51-77.
  • Kwak, J. et al. (2019), “Legitimacy building and e-commerce platform development in China: The experience of Alibaba”, Technological Forecasting and Social Change, 139, 115-124.
  • Laffont, J.J. (1997), “Game theory and empirical economics: The case of auction data”, European Economic Review, 41(1), 1-35.
  • Lee, M.Y. et al. (2008), “Segmenting online auction consumers”, Journal of Customer Behaviour, 7(2), 135-148.
  • Li, S. et al. (2009), “Internet auction features as quality signals”, Journal of Marketing, 73(1), 75-92.
  • Lim, W.M. (2015), “The influence of internet advertising and electronic word of mouth on consumer perceptions and intention: some evidence from online group buying”, Journal of Computer Information Systems, 55(4), 81-89.
  • Lin, Z. et al. (2006), “Reputation distribution and consumer-to-consumer online auction market structure: an exploratory study”, Decision Support Systems, 41(2), 435-448.
  • Liu, Z. et al. (2012), “Multi-agent based experimental analysis on bidding mechanism in electricity auction markets”, International Journal of Electrical Power & Energy Systems, 43(1), 696-702.
  • Lucking, D. (1999), “Using field experiments to test equivalence between auction formats: Magic on the internet”, American Economic Review, 89(5), 1063-1080.
  • Lucking, D. (2000), “Vickrey auctions in practice: From nineteenth-century philately to twenty-first-century e-commerce”, Journal of Economic Perspectives, 14(3), 183-192.
  • Luton, R. & R.P. McAfee (1986), “Sequential procurement auctions”, Journal of Public Economics, 31(2), 181-195.
  • Macey, J.R. (1990), “Auction theory, MBOs and property rights in corporate assets”, Wake Forest L. Rev., HeinOnline, 85-119.
  • Maher, M.M. et al. (2019), “A novel dynamic bandwidth allocation for the integrated EPON and WiMAX based on auction process”, Menoufia Journal of Electronic Engineering Research, 28(1), 51-57.
  • Maldoom, D. (2005), “A comment on 'strange bids: Bidding behaviour in the United Kingdom's third generation spectrum auction' by Tilman Borgers and Christian Dustmann”, The Economic Journal, 115(505), 579-582.
  • Maskin, E. & J.G. Riley (1984), “Optimal auctions with risk averse buyers”, Econometrica, 52(6), 1473-1518.
  • Matthews, S.A. (1995), “A technical primer on auction theory: Independent private values”, Northwestern University Discussion Paper, No: 1096, 1-49.
  • McCabe, K. et al. (1999), “Designing auction institutions for exchange”, IIE Transactions, 31(9), 803-811.
  • McLaughlin, C. et al. (2017), “Consumer to consumer (C2C) online auction transaction intentions: an application of the theory of planned behaviour”, DBS Business Review, 1, 5-25.
  • Milgrom, P.R. & R.J. Weber (1982), “A theory of auctions and competitive bidding”, Econometrica, 50(5), 1089-1122.
  • Möllenberg, A. (2004), “Internet auctions in marketing: The consumer perspective”, Electronic Markets, 14(4), 360-371.
  • Myerson, R. (1981), “Optimal auction design”, Mathematics of Operations Research, 6(1), 58-73.
  • Nath, A. & L. Zheng (2004), “Perception of service quality in e-commerce: An analytical study of Internet auction sites”, MSc Thesis, Lulea University of Technology.
  • Oran-Sözer, J. (2008), “Açık artırma; tarihçe, genel bilgiler ve bir araştırma”, Marmara Üniversitesi İİBF Dergisi, XXIV(1), 125-135.
  • Özbilen, A.B. (2000), “İsteğe bağlı açık artırma yoluyla yapılan satışlarda müzayede evlerinin türk borçlar kanunu hükümleri çerçevesinde ayıptan ve zapttan doğan sorumluluğu ve bu sorumluluğu ortadan kaldıran anlaşmalar”, Marmara Üniversitesi Hukuk Fakültesi Hukuk Araştırmaları Dergisi, 22(2), 271-330.
  • Parasuraman, A. & G.M. Zinkhan (2002), “Marketing to and serving customers through the Internet: An overview and research agenda”, Journal of the Academy of Marketing Science, 30(4), 286-295.
  • Park, Y.H. & E.T. Bradlow (2005), “An integrated model for bidding behavior in Internet auctions: Whether, who, when, and how much”, Journal of Marketing Research, 42(4), 470-482.
  • Ren, L. et al. (2013), “Research on the classification of reviewers in online auction”, International Journal of Computer Science Issues, 10(1), 310-316.
  • Rutsträm, E.E. (1998), “Home-grown values and incentive compatible auction design”, International Journal of Game Theory, 27(3), 427-441.
  • Saprikis, V. (2013), “Suppliers' behavior on the post-adoption stage of business-to-business e-reverse auctions: An empirical study”, Telematics and Informatics, 30(2), 132-143.
  • Satterthwaite, M.A. & S.R. Williams (1989), “Rate of convergence to full efficiency in the buyers' bid double auction as the market becomes large”, Review of Economic Studies, 56, 477-498.
  • Schwartz, A. (1986), “Search theory and the tender offer auction”, Journal of Law Economics & Organization, 2(2), 229-253.
  • Shachat, J. & L. Wei (2012), “First price sealed bid or English auctions?”, Marketing Science, 31(2), 317-333.
  • Shogren, J.F. et al. (2001), “Auction mechanisms and the measurement of WTP and WTA”, Resource and Energy Economics, 23(2), 97-109.
  • Strader, T.J. & A.R. Hendrickson (2001), “Introduction to the special section on marketing and consumer behavior in electronic markets”, E-Service Journal, 1(1), 37-39.
  • Şenocak, Z. (2001), “İnternette kurulan açık artırma ile satım sözleşmesi”, Ankara Üniversitesi Hukuk Fakültesi Dergisi, 50(3), 93-114.
  • Torkzadeh, G. & G. Dhillon (2002), “Measuring factors that influence the success of Internet commerce”, Information Systems Research, 13(2), 187-204.
  • Tsai, K.M. & F.C. Chou (2011), “Developing a fuzzy multi-attribute matching and negotiation mechanism for sealed-bid online reverse auctions”, Journal of Theoretical and Applied Electronic Commerce Research, 6(3), 85-96.
  • Vickrey, W. (1961), “Counterspeculation, auctions, and competitive sealed tenders”, The Journal of Finance, 16(1), 8-37.
  • Wang, S. & S.J. Barnes (2009), “An analysis of the potential for mobile auctions in China”, International Journal of Mobile Communications, 7(1), 36-49.
  • Weinberg, B.D. & L. Davis (2005), “Exploring the WOW in online-auction feedback”, Journal of Business Research, 58(10), 1609-1621.
  • Weiser, E.B. (2000), “Gender differences in Internet use patterns and Internet application preferences: A two-sample comparison”, Cyberpsychology and Behavior, 3(2), 167-178.
  • Wilson, R. (1992), “Strategic analysis of auctions”, Handbook of Game Theory with Economic Applications, 1, 227-279.
  • Xia, M. et al. (2005), “Solving the combinatorial double auction problem”, European Journal of Operational Research, 164(1), 239-251.
  • Xu, S.X. et al. (2015), “Efficient intermodal transportation auctions for B2B e-commerce logistics with transaction costs”, Transportation Research Part B: Methodological, 80, 322-337.
  • Xu, Y. et al. (2018), “A Study on consumers' learning effect in the price reduction auction: A case study of Gongtianxia”, Wuhan International Conference on e-Business, 298-309.
  • Yen, C.H. & H.P. Lu (2008), “Factors influencing online auction repurchase intention”, Internet Research, 18(1), 7-25.
  • Zhang, J. (2006), “The roles of players and reputation: evidence from eBay online auctions”, Decision Support Systems, 42(3), 1800-1818.
  • Zhang, X. et al. (2018), “Fraud, economic versus social-psychological losses, and sustainable e-auction”, Sustainability, 10(9), 3130-3142.
Toplam 101 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Ekonomi
Bölüm Makaleler
Yazarlar

Musa Türkoğlu 0000-0001-7662-9647

Gülhan Duran 0000-0002-5924-7724

Serdar Yetişen 0000-0003-3951-5805

Proje Numarası -
Yayımlanma Tarihi 25 Ekim 2022
Gönderilme Tarihi 17 Eylül 2021
Yayımlandığı Sayı Yıl 2022 Cilt: 30 Sayı: 54

Kaynak Göster

APA Türkoğlu, M., Duran, G., & Yetişen, S. (2022). Tüketicilerin Açık Artırma Siteleri Hakkındaki Tutumlarını Belirlemeye Yönelik Bir Uygulama. Sosyoekonomi, 30(54), 269-289. https://doi.org/10.17233/sosyoekonomi.2022.04.15
AMA Türkoğlu M, Duran G, Yetişen S. Tüketicilerin Açık Artırma Siteleri Hakkındaki Tutumlarını Belirlemeye Yönelik Bir Uygulama. Sosyoekonomi. Ekim 2022;30(54):269-289. doi:10.17233/sosyoekonomi.2022.04.15
Chicago Türkoğlu, Musa, Gülhan Duran, ve Serdar Yetişen. “Tüketicilerin Açık Artırma Siteleri Hakkındaki Tutumlarını Belirlemeye Yönelik Bir Uygulama”. Sosyoekonomi 30, sy. 54 (Ekim 2022): 269-89. https://doi.org/10.17233/sosyoekonomi.2022.04.15.
EndNote Türkoğlu M, Duran G, Yetişen S (01 Ekim 2022) Tüketicilerin Açık Artırma Siteleri Hakkındaki Tutumlarını Belirlemeye Yönelik Bir Uygulama. Sosyoekonomi 30 54 269–289.
IEEE M. Türkoğlu, G. Duran, ve S. Yetişen, “Tüketicilerin Açık Artırma Siteleri Hakkındaki Tutumlarını Belirlemeye Yönelik Bir Uygulama”, Sosyoekonomi, c. 30, sy. 54, ss. 269–289, 2022, doi: 10.17233/sosyoekonomi.2022.04.15.
ISNAD Türkoğlu, Musa vd. “Tüketicilerin Açık Artırma Siteleri Hakkındaki Tutumlarını Belirlemeye Yönelik Bir Uygulama”. Sosyoekonomi 30/54 (Ekim 2022), 269-289. https://doi.org/10.17233/sosyoekonomi.2022.04.15.
JAMA Türkoğlu M, Duran G, Yetişen S. Tüketicilerin Açık Artırma Siteleri Hakkındaki Tutumlarını Belirlemeye Yönelik Bir Uygulama. Sosyoekonomi. 2022;30:269–289.
MLA Türkoğlu, Musa vd. “Tüketicilerin Açık Artırma Siteleri Hakkındaki Tutumlarını Belirlemeye Yönelik Bir Uygulama”. Sosyoekonomi, c. 30, sy. 54, 2022, ss. 269-8, doi:10.17233/sosyoekonomi.2022.04.15.
Vancouver Türkoğlu M, Duran G, Yetişen S. Tüketicilerin Açık Artırma Siteleri Hakkındaki Tutumlarını Belirlemeye Yönelik Bir Uygulama. Sosyoekonomi. 2022;30(54):269-8.