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Yıl 2019, Cilt: 4 Sayı: 1, 16 - 43, 30.04.2019
https://doi.org/10.31201/ijhmt.523920

Öz

Kaynakça

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  • Barabasi, A.L. (2003), “The new science of networks”, Physics Today, Vol. 6 No. 5 , 12-18
  • Behara, R.S., Fisher, W.W. and Lemmink, J.G.A.M. (2002), “Modelling and evaluating service quality measurement using neural networks”, International Journal of Operations & Production Management, Vol. 22 No. 10, pp. 1162-1185.
  • Belizzi, J.A. and Lipps, D.J. (1984), “Managerial guidelines for trade show effectiveness”, Industrial Marketing Management, Vol. 13, pp. 49-52.
  • Bello, D.C. (1992), “Industrial buyer behavior at trade shows: implications for sellingeffectiveness”, Journal of Business Research, Vol. 25 No. 1, pp. 59-80.
  • Bello, D.C. and Lohtia, R. (1993), “Improving trade show effectiveness by analyzing attendees”, Industrial Marketing Management, Vol. 22 No. 4, pp. 311-318.
  • Benitez, J.M., Martin, J.C. and Roman, C. (2007), “Using fuzzy number for measuringquality of service in hotel industry”, Tourism Management, Vol. 28, pp. 544-555.
  • Berne, C. and Garcia-Uceda, M. (2008), “Criteria involved in evaluation of trade shows toVisit”, Industrial Marketing Management, Vol. 37, pp. 565-579.
  • Bilsel, R.U., Buyukozkan, G. and Ruan, D. (2006), “Fuzzy preference-ranking model fora quality evaluation of hospital web sites”, International Journal of Intelligent Systems, Vol. 21, pp. 1181-1197.
  • Bitner, M.J., Ostrom, A.L. and Morgan, F.N. (2008), working paper, “Service blueprinting: a practical technique for service innovation”, Center for Services Leadership, Arizona State University.
  • Blythe, J. (2002), “Using trade fairs in key account management”, Industrial Marketing Management, Vol. 31 No. 7, pp. 627-635.
  • Boshoff, C. and Gray, B. (2004), “The relationships between service quality, customer satisfaction and buying intentions in the private hospital industry”, South African Journal of Business Management, Vol. 35 No. 4, pp. 27-37.
  • Brown, J. D. (2000). Using surveys in language programs. Cambridge: Cambridge University Press.
  • Browning, J. and Adams, R. (1988), “An effective promotional tool for the small industrial business”, Journal of Small Business Management, Vol. 26 No. 4, pp. 31-36.
  • Bruhn, M. and Hadwich, K. (2005), “Managing the service quality of trade fairs”, in Kirchgeorg, M. (Ed.), Trade Show Management: Planning, Implementing and Controlling of Trade Shows, Conventions and Events, Gabler Verlag, Berlin, pp. 787-821.
  • Busche, M. (2005), “The role of associations and institutions in the trade fair industry”, inKirchgeorg, M., Dornscheidt, W.M., Geise, W. and Stoeck, N. (Eds), Trade ShowManagement, Gabler, Wiesbaden, pp. 99-115.
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  • Chan, J. C. (1991). Response-order effect in Likert-type scales.Educational Psychology Measurements, 51, 531–540
  • Chang, L. (1994). A psychometric evaluation of 4-poing and 6-point Likert-type scales in relation to reliability and validity.Applied Psychological Measurement, 18 , 205–215.
  • Chang, Y. H., & Yeh, C. H. (2002). A survey analysis of service quality for domestic airlines. European Journal of Operational Research, 139, 166–177.
  • Chatterjee, S. and Hadi, A.S. (2015), Regression Analysis by Example, John Wiley & Sons.New York
  • Chen, Y. and Mo, H. (2012), “Attendees’ perspectives on the service quality of an exhibition organizer: a case study of a tourism exhibition”, Tourism Management Perspectives, Vol. 1, pp. 28-33.
  • Chon, K. and Weber, K. (2002), Convention Tourism: International Research andIndustry Perspectives, Taylor & Francis, Inc., Oxford, UK.
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An Approximation of Trade Show Exhibitors’ Behavioral Intentions in Fuzzy Environment

Yıl 2019, Cilt: 4 Sayı: 1, 16 - 43, 30.04.2019
https://doi.org/10.31201/ijhmt.523920

Öz

The study
has two objectives mainly to estimate exhibitors’ satisfaction with
self-performance, the organizers, and visitors to a trade show, which
determines the behavioral intentions of exhibitors, thus providing the
organizers with feedback on the perceptions and behavioral intentions of
exhibitors and to use the fuzzy Likert scale method to overcome the
shortcomings of the Likert scale and enhance its use in the social sciences.
The sample included 396 managers who had participated
in international trade shows. F
uzzy logic was adopted using
linguistic terms to evaluate the satisfaction and intentions of the exhibitors
to construct the regression model. Variables relating to satisfaction with
self-performance, the organizers, and visitors were found to have a positive
effect on the behavioral intentions of the exhibitors. Using fuzzy logic, the
discrete ordinal variable was transformed into a continuous variable and its
semantic meaning was preserved.

Kaynakça

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  • Al-Najjar, B. and Alsyouf, I. (2003), “Selecting the most efficient maintenance approachusing fuzzy multiple criteria decision making”, International Journal of ProductionEconomics, Vol. 84 No.1, pp. 85-100.
  • Barabasi, A.L. (2003), “The new science of networks”, Physics Today, Vol. 6 No. 5 , 12-18
  • Behara, R.S., Fisher, W.W. and Lemmink, J.G.A.M. (2002), “Modelling and evaluating service quality measurement using neural networks”, International Journal of Operations & Production Management, Vol. 22 No. 10, pp. 1162-1185.
  • Belizzi, J.A. and Lipps, D.J. (1984), “Managerial guidelines for trade show effectiveness”, Industrial Marketing Management, Vol. 13, pp. 49-52.
  • Bello, D.C. (1992), “Industrial buyer behavior at trade shows: implications for sellingeffectiveness”, Journal of Business Research, Vol. 25 No. 1, pp. 59-80.
  • Bello, D.C. and Lohtia, R. (1993), “Improving trade show effectiveness by analyzing attendees”, Industrial Marketing Management, Vol. 22 No. 4, pp. 311-318.
  • Benitez, J.M., Martin, J.C. and Roman, C. (2007), “Using fuzzy number for measuringquality of service in hotel industry”, Tourism Management, Vol. 28, pp. 544-555.
  • Berne, C. and Garcia-Uceda, M. (2008), “Criteria involved in evaluation of trade shows toVisit”, Industrial Marketing Management, Vol. 37, pp. 565-579.
  • Bilsel, R.U., Buyukozkan, G. and Ruan, D. (2006), “Fuzzy preference-ranking model fora quality evaluation of hospital web sites”, International Journal of Intelligent Systems, Vol. 21, pp. 1181-1197.
  • Bitner, M.J., Ostrom, A.L. and Morgan, F.N. (2008), working paper, “Service blueprinting: a practical technique for service innovation”, Center for Services Leadership, Arizona State University.
  • Blythe, J. (2002), “Using trade fairs in key account management”, Industrial Marketing Management, Vol. 31 No. 7, pp. 627-635.
  • Boshoff, C. and Gray, B. (2004), “The relationships between service quality, customer satisfaction and buying intentions in the private hospital industry”, South African Journal of Business Management, Vol. 35 No. 4, pp. 27-37.
  • Brown, J. D. (2000). Using surveys in language programs. Cambridge: Cambridge University Press.
  • Browning, J. and Adams, R. (1988), “An effective promotional tool for the small industrial business”, Journal of Small Business Management, Vol. 26 No. 4, pp. 31-36.
  • Bruhn, M. and Hadwich, K. (2005), “Managing the service quality of trade fairs”, in Kirchgeorg, M. (Ed.), Trade Show Management: Planning, Implementing and Controlling of Trade Shows, Conventions and Events, Gabler Verlag, Berlin, pp. 787-821.
  • Busche, M. (2005), “The role of associations and institutions in the trade fair industry”, inKirchgeorg, M., Dornscheidt, W.M., Geise, W. and Stoeck, N. (Eds), Trade ShowManagement, Gabler, Wiesbaden, pp. 99-115.
  • Chan, F.T.S., Jiang, B. and Tang, N.K.H. (2000), “The development of intelligent decision support tools to aid the design of flexible manufacturing systems”, International Journal ofProduction Economics, Vol. 65 No. 1, pp. 73-84.
  • Chan, J. C. (1991). Response-order effect in Likert-type scales.Educational Psychology Measurements, 51, 531–540
  • Chang, L. (1994). A psychometric evaluation of 4-poing and 6-point Likert-type scales in relation to reliability and validity.Applied Psychological Measurement, 18 , 205–215.
  • Chang, Y. H., & Yeh, C. H. (2002). A survey analysis of service quality for domestic airlines. European Journal of Operational Research, 139, 166–177.
  • Chatterjee, S. and Hadi, A.S. (2015), Regression Analysis by Example, John Wiley & Sons.New York
  • Chen, Y. and Mo, H. (2012), “Attendees’ perspectives on the service quality of an exhibition organizer: a case study of a tourism exhibition”, Tourism Management Perspectives, Vol. 1, pp. 28-33.
  • Chon, K. and Weber, K. (2002), Convention Tourism: International Research andIndustry Perspectives, Taylor & Francis, Inc., Oxford, UK.
  • Cox, J.M. (1993), “How effective is your exhibit?”, Successful Meetings, 3,1 pp. 59-61.
  • Dekimpe, M.G., Francois, P., Gopalakrishna, S., Lilien, G.L. and van den Bulte, C. (1997), “Generalizing about trade show effectiveness: a cross-national comparison”, Journal of Marketing, Vol. 61 No. 4, pp. 55-64.
  • Deng, W. J. (2008). Fuzzy importance-performance analysis for determining critical service attributes. International Journal of Service Industry Management, 19(2), 252-270.
  • DeVaus, D.A. (2000). Surveys in social research. London: Routledge
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  • Zimmer, A.C. (1983), Verbal versus Numerical Processing in Individual DecisionMaking Under Uncertainty, R. Scholz Amsterdam, North Holland.
  • Zimmermann, H.J. (1983), “Using fuzzy sets in operational research”, EuropeanJournal of Operational Research, Vol. 13, pp. 201-216.
Toplam 118 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Articles
Yazarlar

Feride Bahar Işın Bu kişi benim

Kumru Didem Atalay

Ayşegül Alagöz

İrem Sevindik

Yayımlanma Tarihi 30 Nisan 2019
Gönderilme Tarihi 7 Şubat 2019
Kabul Tarihi 29 Nisan 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 4 Sayı: 1

Kaynak Göster

APA Işın, F. B., Atalay, K. D., Alagöz, A., Sevindik, İ. (2019). An Approximation of Trade Show Exhibitors’ Behavioral Intentions in Fuzzy Environment. International Journal of Health Management and Tourism, 4(1), 16-43. https://doi.org/10.31201/ijhmt.523920