Research Article
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Year 2019, Volume: 4 Issue: 1, 16 - 43, 30.04.2019
https://doi.org/10.31201/ijhmt.523920

Abstract

References

  • Albaum, G. (1997). The Likert scale revisited: An alternate version.Journal of the Market Research Society, 39 , 331–349
  • 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
  • Dickson, J. R. and Faria, A.J. (1985), “Firms with large market shares, product lines rateshows highly”, Marketing News, Vol. 10, pp. 10-14.
  • Dubois, D. and Prade, H. (1979), “Fuzzy real algebra: some results”, Fuzzy Sets and Systems, Vol. 2, pp. 327-348.
  • Fenich, G.G. (2012), Meetings, Expositions, Events, and Conventions: An Introduction tothe Industry (3rd ed.), Pearson/Prentice Hall, Upper Saddle River, NJ.
  • Fourali, C. (1997). Using fuzzy logic in educational measurement: The case of portfolio assessment.Evaluation and Research in Education, 11, 129–148
  • Friedman, S. (2009), “Sponsorship: a key to powerful marketing”, available at: www.newjournalarticles.org/Sponsorship_A_Key_to_Powerful_Marketing,11257/ (accessed 10November 2014).
  • Geigenmüller, A. and Bettis-Outland, H. (2012), “Brand equity in B2B services and consequences for the trade show industry”, Journal of Business & Industrial Marketing, Vol. 27 No. 6, pp. 428-435.
  • George, K. (2012), “A model for assessing consumer perceptions of quality”, International Journal of Quality and Service Sciences, Vol. 4 No. 1, pp. 175-188.
  • Gofman, A., Moskowitz, H. and Mets, T. (2011), “Marketing museums and exhibitions:what drives the interest of young people”, Journal of Hospitality Marketing & Management, Vol. 20 No. 5/6, pp. 601-618.
  • Gopalakrishna, S. and Lilien, G.L. (1995), “A three-stage model of industrial trade show performance”, Marketing Science, Vol. 14 No. 1, pp. 22-42.
  • Gopalakrishna, S., Lilien, G.L., Williams, J.D. and Seqeuira, I.K. (1995), “Do trade shows pay off?”, Journal of Marketing, Vol. 59 No. 3, pp. 75-83.
  • Gopalakrishna, S., Lilien, G.L., Williams, J.D. and Seqeuira, I.K. (1995), “Do trade shows pay off?”, Journal of Marketing, Vol. 59 No. 3, pp. 75-83.
  • Gopalakrishna, S., Roster, C.A. and Sridhar, S. (2010), “An exploratory study of attendee activities at a business trade show”, Journal of Business & Industrial Marketing, Vol. 25 No. 4, pp. 241-248.
  • Gottlieb, U.R., Brown, M.R. and Drennan, J. (2011), “The influence of service quality and trade show effectiveness on post-show purchase intention”, European Journal of Marketing,Vol. 45 No. 11, pp. 1642-1659.
  • Gottlieb, U.R., Brown, M.R. and Ferrier, L. (2014), “Consumer perceptions of trade show effectiveness: scale development and validation within a B2C context”, European Journal of Marketing, Vol. 48 No. 1/2, pp. 89-107.
  • Gummesson, E. and Polese, F. (2009), “B2B is not an island”, Journal of Business & Industrial Marketing, Vol. 24 No. 5/6, pp. 337-350.
  • Hansen, K. (2004), “Measuring performance at trade shows: Scale development and validation”, Journal of Business Research, Vol. 57, pp. 1-13.
  • Herrera, F., Herrera-Viedma, E. and Martinez, L. (2000), “A fusion approach formanaging multi-granularity linguistic term sets in decision making”, Fuzzy Sets and Systems, Vol. 114, pp. 43-58.
  • Herrera F. E. Herrera-Viedma (2000) Linguistic decision analysis: steps for solving decision problems under linguistic information Fuzzy Sets and Systems 115 67-82
  • Herrera, F. Herrera-Viedma, E. Martinez Luis (2000) Fuzzy Sets and Systems A fusion approach for managing multi-granularity linguistic term sets in decision making 114 43–58
  • Hodge, D.R. and Gillespie, D. (2003), “Phrase completions: an alternative to Likertscales”, Social Work Research, Vol. 27, pp. 45-55.
  • Hsieh, C.H. (2013), “Patent value assessment and commercialization strategy”, Technological Forecasting and Social Change, Vol. 80, pp. 307-319.
  • Hsieh, Y.-C., Chiu, H.-C. and Chiang, M.-Y. (2005), “Maintaining a committed online customer: a study across search-experience-credence products”, Journal of Retailing, Vol. 81 No. 1, pp. 75-82.
  • Hsu, C.F., Chang, B., Hung, H.F. (2007). Applying SVM to build supplier evaluation model – Comparing Likert scale and fuzzy scale. Paper presented at the 2007 IEEE Industrial Engineering and Engineering Management, Singapore.
  • Hu, Y. C. (2009). Fuzzy multiple-criteria decision making in the determination of critical criteria for assessing service quality of travel websites. Expert Systems with Application, 36, 6439–6445.
  • Huang, H.C. (2016), “How does meetings, incentives, conventions, and exhibitions industry attract exhibitors?”, Asia Pacific Journal of Tourism Research, Vol. 21 No. 1, pp. 73-93.
  • Hutchinson, D., Wellington, W.J., Saad, M. and Cox, P. (2011), “Refining value-baseddifferentiation in business relationships: a study of the higher order relationship building blocks that influence behavioral intentions”, Industrial Marketing Management, Vol. 40 No. 3, pp. 465-478.
  • Jin, X., Weber, K. and Bauer, T. (2012), “Relationship quality between exhibitors and organizers: a perspective from Mainland China’s exhibition industry”, International Journal of Hospitality Management, Vol. 31 No. 4, pp. 1222-1234.
  • Jin, X., Weber, K. and Bauer, T. (2013), “Dimensions and perceptional differences of exhibition destination attractiveness: the case of China”, Journal of Hospitality & Tourism Research, Vol. 37 No. 4, pp. 447-469.
  • Jung, M. (2005), “Determinants of exhibition service quality as perceived by attendees”, Journal of Convention and Event Tourism, Vol. 7 No. 3/4, pp. 85-98.
  • Kacprzyk, J. and Fedrizzi, M. (1989), “A ‘human-consistent’ degree of consensus basedon fuzzy logic with linguistic quantifiers”, Mathematical Social Sciences, Vol. 18, pp. 275-290.
  • Kang, J. and Schrier, T. (2011), “The decision-making process of tradeshow exhibitors:the effects of social value, company size, and prior experience on satisfaction and behavioral intentions”, Journal of Convention & Event Tourism, Vol. 12 No. 2, pp. 65-85.
  • Kerin, R.A. and Cron, W.L. (1987), “Assessing trade show functions and performance: an exploratory study”, Journal of Marketing, Vol. 51 No. 3, pp. 87-94.
  • Kijewski, V., Yoon, E. and Young, G. (1993), “How exhibitors select trade shows”, IndustrialMarketing Management, Vol. 22 No. 4, pp. 287-298.
  • Klir, G.J. and Yuan, B. (1995), Fuzzy Sets and Fuzzy Logic Theory and Applications, 1st edn. Prentice Hall, New York.
  • Kumar, R., Indrayan, A. and Chhabra, P. (2012), “Reporting quality of multivariable logistic regression in selected Indian medical journals”, Journal of Postgraduate Medicine, Vol. 58, pp. 123-126.Kurtulmuşoğlu, F. B., Pakdil, F., & Atalay, K. D. (2016). Quality improvement strategies of highway bus service based on a fuzzy quality function deployment approach. Transportmetrica A: Transport Science, 12(2), 175-202.
  • Lalla, M., Facchinetti G., and Mastroleo, G. (2005).Ordinal scales and fuzzy set systems to measure agreement: An application to the evaluation of teaching activity, Quality and Quantity, 38, 577-601
  • Lee, C.H. and Kim, S.Y. (2008), “Differential effects of determinants of multi-dimensions of trade show performance: by three stage of pre-show, at-show and post-show activities”,Industrial Marketing Management, Vol. 37, pp. 784-796.
  • Lee, J. and Beeler, C. (2009), “An investigation of predictors of satisfaction and future intention: links to motivation, involvement, and service quality in a local festival”, EventManagement, Vol. 13 No. 1, pp. 17-29.
  • Lee, M., Yeung, S. and Dewald, B. (2010), “An exploratory study examining the determinants of attendance motivations as perceived by attendees at Hong Kong exhibitions”, Journal of Convention & Event Tourism, Vol. 11 No. 3, pp. 195-208.
  • Lee, M., Seo, J. and Yeung, S. (2012), “Comparing the motives for exhibition participation:visitors’ versus exhibitors’ perspectives”, International Journal of Tourism Science, Vol. 12 No. 3, pp. 1-19.
  • Lee, M.J., Lee, S. and Joo, Y.M. (2015), “The effects of exhibition service quality on exhibitor satisfaction and behavioral intentions”, Journal of Hospitality Marketing & Management, Vol. 24 No. 7, pp. 683-707.
  • Li, L-Y. (2007), “The effects of firm resources on trade show performance: how do trade show marketing processes matter?”, Journal of Business & Industrial Marketing, Vol. 23 No. 1, pp. 35-47.
  • Li, Q. (2013), “A novel Likert scale based on fuzzy sets theory”, Expert Systems with Applications, Vol. 40, pp. 1609-1618.Lin, H.-T. (2010), “Fuzzy application in service quality analysis: an empirical study”,Expert Systems with Applications, Vol. 37, pp. 517-526.
  • Lin, C.T., Lee, C. and Chen, W.Y. (2009), “Using fuzzy analytic hierarchy process to evaluate service performance of a travel intermediary”, The Service Industries Journal, Vol. 29 No. 3, pp. 281-296.
  • Lin, Y. (2016), “An examination of determinants of trade show exhibitors’ behavioral intention: a stakeholder perspective”, International Journal of Contemporary Hospitality Management, Vol. 28 No.12, pp. 2630-2653.
  • Lin, L., & Lee, H. M. (2009). Fuzzy assessment method on sampling survey analysis. Expert Systems with Applications, 36, 5955–5961
  • Lin, Y., Jiang, J. and Kerstetter, D. (2015), “A three-component framework for trade show performance evaluation”, Journal of Hospitality & Tourism Research, 3,6 pp. 1-25.
  • Liou, T.S. and Chen, C.W. (2006), “Subjective appraisal of service quality using fuzzy linguistic assessment”, International Journal of Quality & Reliability Management, Vol. 23 No. 8, pp. 928-943.
  • Malhotra, N.K. (1999), Marketing Research: An Applied Orientation, 3rd ed., Prentice Hall, Upper Saddle River, NJ.Munuera, J.L. and Ruiz, S. (1999), “Trade fairs as services: a look at visitors’ objectives in Spain”, Journal of Business Research, Vol. 44 No. 1, pp. 17-24.
  • Pett, M.A. (1997), Nonparametric Statistics for Health Care Research: Statistics for SmallSamples and Unusual Distribution, SAGE Publications, London.
  • Ragin, C.C. (2000), Fuzzy-set Social Science, The University of Chicago Press, Chicago, USA.
  • Rauyruen, P. and Miller, K.E. (2007), “Relationship quality as a predictor of B2B customer loyalty”, Journal of Business Research, Vol. 60 No. 1, pp. 21-31.
  • Ray, J. J. (1990). Acquiescence and problems with forced-choice scale. Journal of Social Psychology, 130, 397–399.
  • Raykov, T., & Marcoulides, G. A. (2006). On multilevel model reliability estimation from the perspective of structural equation modeling. Structural Equation Modeling, 13(1), 130-141.
  • Rinallo, D., Borghini, S. and Golfetto, F. (2010), “Exploring visitor experiences at tradeshows”, Journal of Business & Industrial Marketing, Vol. 25 No. 4, pp. 249-258.
  • Rosson, P. and Seringhaus, F. (1995), “Visitor and exhibitor interaction at industrial trade fairs”, Journal of Business Research, Vol. 32 No. 1, pp. 81-90.
  • Russell, C. J. and Bobko, P. (1992), “Moderated regression analysis and Likert scales:too coarse for comfort”, Journal of Applied Psychology, Vol. 77, pp. 336-342.
  • Seringhaus, F.H.R. and Rosson, P.J. (2001), “Firm experience and international trade fairs”, Journal of Marketing Management, Vol. 17 No. 7/8, pp. 877-901.
  • Seringhaus, F.H.R. and Rosson, P.J. (2004), “An analysis model for performance measurement of international trade fair exhibitors”, available at http://citt .management. dal.ca/Files/ pdf’s/DP-198.pdf.
  • Shipley, D., Egan, C. and Wong, K. (1993), “Dimensions of trade show exhibiting management”, Journal of Marketing Management, Vol. 9, pp. 55-63.
  • Shoham, A. (1999), “Performance in trade shows and exhibitions: a synthesis and directions for future research”, Journal of Global Marketing, Vol. 12 No. 3, pp. 41-57.
  • Smith, T.M., Hama, K. and Smith, P. (2003), “The effect of successful trade show attendance on future show interest: exploring Japanese attendee perspectives of domestic and offshore international events”, Journal of Business & Industrial Marketing, Vol. 18 No. 4/5, pp. 403-418.
  • Smithson, M. J. (1987). Fuzzy set analysis for the behavioral and social sciences (Recent Research in Psychology). New York: Springer-Verlag
  • Symeonaki, M. and Kazani, A. (2011), Developing a Fuzzy Likert Scale for Measuring Xenophobia in Greece, ASMDA, Rome.
  • Tafesse, W. (2014). “Understanding how resource deployment strategies influence trade show organizers’ performance effectiveness”, European Journal of Marketing, Vol. 48 No. 5/6, pp. 1009-1025.
  • Tafesse, W. and Skallerud, K. (2015), “Towards an exchange view of trade fairs”, Journal ofBusiness & Industrial Marketing, Vol. 30 No. 7, pp. 795-804.
  • Tafesse, W. and Korneliussen, T. (2011), “The dimensionality of trade show performance in an emerging market”, International Journal of Emerging Markets, Vol. 6 No. 1, pp. 38-49.
  • Tanford, S., Montgomery, R., & Nelson, K. B. (2012, October). Factors that influence attendance, satisfaction, and loyalty for conventions. In Journal of Convention & Event Tourism (Vol. 13, No. 4, pp. 290-318). Taylor & Francis Group.
  • Tanner, J.F., Chonko, L.B. and Ponzurick, T.V. (2001), “A learning model of trade exhibition attendance”, Journal of Convention and Exhibition Management, Vol. 3 No. 3, pp. 3-26.
  • Tanner, J.F. Jr (2002), “Leveling the playing field: factors influencing trade show success for small companies”, Industrial Marketing Management, Vol. 31, pp. 229-239.
  • Tsaur, S.H., Chang, T.Y. and Yen, C.H. (2002), “The evaluation of airline service qualityby fuzzy MCDM”, Tourism Management, Vol. 23 No. 2, pp. 107-115.
  • Tsaur, Sheng-Hshiung, Tzeng Gwo-Hshiung, Wang Kuo-Ching (1997) Evaluating Tourist Risks From Fuzzy Perspectives Annals of Tourism Research, Vol. 24, No. 4, pp. 796812,
  • Tseng, M.-L. (2009a), “A causal and effect decision making model of service qualityexpectation using grey-fuzzy DEMATEL approach”, Expert Systems with Applications, Vol. 36, pp. 7738-7748.
  • Tseng, M.-L. (2009b), “Using the extension of DEMATEL to integrate hotel servicequality perceptions into a cause–effect model in uncertainty”, Expert Systems with Applications, Vol. 36, pp. 9015-9023.
  • Tzeng, G.H. and Hwang, C.L. (2014), Fuzzy Multiple Objective Decision Making, CRCPress, Boca Raton, USA.
  • Tzeng, G.H., Jen, W. and Hu, K.C. (2002), “Fuzzy factor analysis for selecting service qualityfactors – a case of the service quality of city bus service”, International Journal of FuzzySystems, Vol. 4 No. 1, pp. 911-921.
  • Wan, P. and Siu, N. (2012), “The impact of the servicescape on the desire to stay inconvention and exhibition centers: the case of Macao”, International Journal ofHospitality Management, Vol. 31 No. 1, pp. 236-246.
  • Wendorf Craig A. (2002) Comparisons of Structural Equation Modeling and Hierarchical Linear Modeling Approaches to Couples' Data, Structural Equation Modeling: A Multidisciplinary Journal, 9:1, 126-140
  • Whitfield, J., Dioko, L., Webber, D. and Zhang, L. (2012), “Attracting convention andexhibition attendance to complex MICE venues: emerging data from Macao”, International Journal of Tourism Research, Vol. 16 No. 2, pp. 169-179.
  • Whitfield, J. and Webber, D.J. (2011), “Which exhibition attributes create repeat visitation?”, International Journal of Hospitality Management, Vol. 30, pp. 439-447.
  • Whitfield, J., Dioko, L.A.N., Webber, D. and Zhang, L. (2014), “Attracting convention and exhibition attendance to complex MICE venues: emerging data from Macao”, International Journal of Tourism Research, Vol. 16, pp. 169-179.
  • Wu, W. Y., Hsiao, S. W., & Kuo, H. P. (2004). Fuzzy set theory based decision model for determining market position and developing strategy for hospital service quality. Total Quality Management & Business Excellence, 15(4), 439-456.
  • Xuan, Xiao (2013) Structural Equation Modeling Compared with Ordinary Least Squares in Simulations and Life Insurers' Data Report Presented to the Faculty of the GraduateSchool of The University of Texas at Austin in Partial Fulfillment of the Requirements for the Degree of Master of Science in Statistics The University of Texas at Austin
  • Yoo, J. and Chon, K. (2008), “Factors affecting convention participation decision-making: developing a measurement scale”, Journal of Travel Research, Vol. 47 No. 3, pp. 113-122.
  • Zadeh, L.A. (1965), “Fuzzy sets”, Information and Control, Vol. 8 No. 3, pp. 338-353.
  • Zadeh, L.A. (1975) The concept of a linguistic variable and its applications to approximate reasoning. Part I, Inform. Sci. 8 199–249, Part II, Inform. Sci. 8 301–357
  • Zadeh, L.A., Kacprzyk, J. (1999) Computing with Words in Information/Intelligent Systems 2. Applications. Studies in Fuzziness and Soft Computing, Vol. 33. Physica-Verlag (Springer-Verlag),Heidelberg and New York.
  • Zhang, L., Qu, H. and Ma, J. (2010), “Examining the relationship of exhibition attendees’satisfaction and expenditure: the case of two major exhibitions in China”, Journal of Convention & Event Tourism, Vol. 11 No. 2, pp. 100-118.
  • 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.

An Approximation of Trade Show Exhibitors’ Behavioral Intentions in Fuzzy Environment

Year 2019, Volume: 4 Issue: 1, 16 - 43, 30.04.2019
https://doi.org/10.31201/ijhmt.523920

Abstract

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.

References

  • Albaum, G. (1997). The Likert scale revisited: An alternate version.Journal of the Market Research Society, 39 , 331–349
  • 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
  • Dickson, J. R. and Faria, A.J. (1985), “Firms with large market shares, product lines rateshows highly”, Marketing News, Vol. 10, pp. 10-14.
  • Dubois, D. and Prade, H. (1979), “Fuzzy real algebra: some results”, Fuzzy Sets and Systems, Vol. 2, pp. 327-348.
  • Fenich, G.G. (2012), Meetings, Expositions, Events, and Conventions: An Introduction tothe Industry (3rd ed.), Pearson/Prentice Hall, Upper Saddle River, NJ.
  • Fourali, C. (1997). Using fuzzy logic in educational measurement: The case of portfolio assessment.Evaluation and Research in Education, 11, 129–148
  • Friedman, S. (2009), “Sponsorship: a key to powerful marketing”, available at: www.newjournalarticles.org/Sponsorship_A_Key_to_Powerful_Marketing,11257/ (accessed 10November 2014).
  • Geigenmüller, A. and Bettis-Outland, H. (2012), “Brand equity in B2B services and consequences for the trade show industry”, Journal of Business & Industrial Marketing, Vol. 27 No. 6, pp. 428-435.
  • George, K. (2012), “A model for assessing consumer perceptions of quality”, International Journal of Quality and Service Sciences, Vol. 4 No. 1, pp. 175-188.
  • Gofman, A., Moskowitz, H. and Mets, T. (2011), “Marketing museums and exhibitions:what drives the interest of young people”, Journal of Hospitality Marketing & Management, Vol. 20 No. 5/6, pp. 601-618.
  • Gopalakrishna, S. and Lilien, G.L. (1995), “A three-stage model of industrial trade show performance”, Marketing Science, Vol. 14 No. 1, pp. 22-42.
  • Gopalakrishna, S., Lilien, G.L., Williams, J.D. and Seqeuira, I.K. (1995), “Do trade shows pay off?”, Journal of Marketing, Vol. 59 No. 3, pp. 75-83.
  • Gopalakrishna, S., Lilien, G.L., Williams, J.D. and Seqeuira, I.K. (1995), “Do trade shows pay off?”, Journal of Marketing, Vol. 59 No. 3, pp. 75-83.
  • Gopalakrishna, S., Roster, C.A. and Sridhar, S. (2010), “An exploratory study of attendee activities at a business trade show”, Journal of Business & Industrial Marketing, Vol. 25 No. 4, pp. 241-248.
  • Gottlieb, U.R., Brown, M.R. and Drennan, J. (2011), “The influence of service quality and trade show effectiveness on post-show purchase intention”, European Journal of Marketing,Vol. 45 No. 11, pp. 1642-1659.
  • Gottlieb, U.R., Brown, M.R. and Ferrier, L. (2014), “Consumer perceptions of trade show effectiveness: scale development and validation within a B2C context”, European Journal of Marketing, Vol. 48 No. 1/2, pp. 89-107.
  • Gummesson, E. and Polese, F. (2009), “B2B is not an island”, Journal of Business & Industrial Marketing, Vol. 24 No. 5/6, pp. 337-350.
  • Hansen, K. (2004), “Measuring performance at trade shows: Scale development and validation”, Journal of Business Research, Vol. 57, pp. 1-13.
  • Herrera, F., Herrera-Viedma, E. and Martinez, L. (2000), “A fusion approach formanaging multi-granularity linguistic term sets in decision making”, Fuzzy Sets and Systems, Vol. 114, pp. 43-58.
  • Herrera F. E. Herrera-Viedma (2000) Linguistic decision analysis: steps for solving decision problems under linguistic information Fuzzy Sets and Systems 115 67-82
  • Herrera, F. Herrera-Viedma, E. Martinez Luis (2000) Fuzzy Sets and Systems A fusion approach for managing multi-granularity linguistic term sets in decision making 114 43–58
  • Hodge, D.R. and Gillespie, D. (2003), “Phrase completions: an alternative to Likertscales”, Social Work Research, Vol. 27, pp. 45-55.
  • Hsieh, C.H. (2013), “Patent value assessment and commercialization strategy”, Technological Forecasting and Social Change, Vol. 80, pp. 307-319.
  • Hsieh, Y.-C., Chiu, H.-C. and Chiang, M.-Y. (2005), “Maintaining a committed online customer: a study across search-experience-credence products”, Journal of Retailing, Vol. 81 No. 1, pp. 75-82.
  • Hsu, C.F., Chang, B., Hung, H.F. (2007). Applying SVM to build supplier evaluation model – Comparing Likert scale and fuzzy scale. Paper presented at the 2007 IEEE Industrial Engineering and Engineering Management, Singapore.
  • Hu, Y. C. (2009). Fuzzy multiple-criteria decision making in the determination of critical criteria for assessing service quality of travel websites. Expert Systems with Application, 36, 6439–6445.
  • Huang, H.C. (2016), “How does meetings, incentives, conventions, and exhibitions industry attract exhibitors?”, Asia Pacific Journal of Tourism Research, Vol. 21 No. 1, pp. 73-93.
  • Hutchinson, D., Wellington, W.J., Saad, M. and Cox, P. (2011), “Refining value-baseddifferentiation in business relationships: a study of the higher order relationship building blocks that influence behavioral intentions”, Industrial Marketing Management, Vol. 40 No. 3, pp. 465-478.
  • Jin, X., Weber, K. and Bauer, T. (2012), “Relationship quality between exhibitors and organizers: a perspective from Mainland China’s exhibition industry”, International Journal of Hospitality Management, Vol. 31 No. 4, pp. 1222-1234.
  • Jin, X., Weber, K. and Bauer, T. (2013), “Dimensions and perceptional differences of exhibition destination attractiveness: the case of China”, Journal of Hospitality & Tourism Research, Vol. 37 No. 4, pp. 447-469.
  • Jung, M. (2005), “Determinants of exhibition service quality as perceived by attendees”, Journal of Convention and Event Tourism, Vol. 7 No. 3/4, pp. 85-98.
  • Kacprzyk, J. and Fedrizzi, M. (1989), “A ‘human-consistent’ degree of consensus basedon fuzzy logic with linguistic quantifiers”, Mathematical Social Sciences, Vol. 18, pp. 275-290.
  • Kang, J. and Schrier, T. (2011), “The decision-making process of tradeshow exhibitors:the effects of social value, company size, and prior experience on satisfaction and behavioral intentions”, Journal of Convention & Event Tourism, Vol. 12 No. 2, pp. 65-85.
  • Kerin, R.A. and Cron, W.L. (1987), “Assessing trade show functions and performance: an exploratory study”, Journal of Marketing, Vol. 51 No. 3, pp. 87-94.
  • Kijewski, V., Yoon, E. and Young, G. (1993), “How exhibitors select trade shows”, IndustrialMarketing Management, Vol. 22 No. 4, pp. 287-298.
  • Klir, G.J. and Yuan, B. (1995), Fuzzy Sets and Fuzzy Logic Theory and Applications, 1st edn. Prentice Hall, New York.
  • Kumar, R., Indrayan, A. and Chhabra, P. (2012), “Reporting quality of multivariable logistic regression in selected Indian medical journals”, Journal of Postgraduate Medicine, Vol. 58, pp. 123-126.Kurtulmuşoğlu, F. B., Pakdil, F., & Atalay, K. D. (2016). Quality improvement strategies of highway bus service based on a fuzzy quality function deployment approach. Transportmetrica A: Transport Science, 12(2), 175-202.
  • Lalla, M., Facchinetti G., and Mastroleo, G. (2005).Ordinal scales and fuzzy set systems to measure agreement: An application to the evaluation of teaching activity, Quality and Quantity, 38, 577-601
  • Lee, C.H. and Kim, S.Y. (2008), “Differential effects of determinants of multi-dimensions of trade show performance: by three stage of pre-show, at-show and post-show activities”,Industrial Marketing Management, Vol. 37, pp. 784-796.
  • Lee, J. and Beeler, C. (2009), “An investigation of predictors of satisfaction and future intention: links to motivation, involvement, and service quality in a local festival”, EventManagement, Vol. 13 No. 1, pp. 17-29.
  • Lee, M., Yeung, S. and Dewald, B. (2010), “An exploratory study examining the determinants of attendance motivations as perceived by attendees at Hong Kong exhibitions”, Journal of Convention & Event Tourism, Vol. 11 No. 3, pp. 195-208.
  • Lee, M., Seo, J. and Yeung, S. (2012), “Comparing the motives for exhibition participation:visitors’ versus exhibitors’ perspectives”, International Journal of Tourism Science, Vol. 12 No. 3, pp. 1-19.
  • Lee, M.J., Lee, S. and Joo, Y.M. (2015), “The effects of exhibition service quality on exhibitor satisfaction and behavioral intentions”, Journal of Hospitality Marketing & Management, Vol. 24 No. 7, pp. 683-707.
  • Li, L-Y. (2007), “The effects of firm resources on trade show performance: how do trade show marketing processes matter?”, Journal of Business & Industrial Marketing, Vol. 23 No. 1, pp. 35-47.
  • Li, Q. (2013), “A novel Likert scale based on fuzzy sets theory”, Expert Systems with Applications, Vol. 40, pp. 1609-1618.Lin, H.-T. (2010), “Fuzzy application in service quality analysis: an empirical study”,Expert Systems with Applications, Vol. 37, pp. 517-526.
  • Lin, C.T., Lee, C. and Chen, W.Y. (2009), “Using fuzzy analytic hierarchy process to evaluate service performance of a travel intermediary”, The Service Industries Journal, Vol. 29 No. 3, pp. 281-296.
  • Lin, Y. (2016), “An examination of determinants of trade show exhibitors’ behavioral intention: a stakeholder perspective”, International Journal of Contemporary Hospitality Management, Vol. 28 No.12, pp. 2630-2653.
  • Lin, L., & Lee, H. M. (2009). Fuzzy assessment method on sampling survey analysis. Expert Systems with Applications, 36, 5955–5961
  • Lin, Y., Jiang, J. and Kerstetter, D. (2015), “A three-component framework for trade show performance evaluation”, Journal of Hospitality & Tourism Research, 3,6 pp. 1-25.
  • Liou, T.S. and Chen, C.W. (2006), “Subjective appraisal of service quality using fuzzy linguistic assessment”, International Journal of Quality & Reliability Management, Vol. 23 No. 8, pp. 928-943.
  • Malhotra, N.K. (1999), Marketing Research: An Applied Orientation, 3rd ed., Prentice Hall, Upper Saddle River, NJ.Munuera, J.L. and Ruiz, S. (1999), “Trade fairs as services: a look at visitors’ objectives in Spain”, Journal of Business Research, Vol. 44 No. 1, pp. 17-24.
  • Pett, M.A. (1997), Nonparametric Statistics for Health Care Research: Statistics for SmallSamples and Unusual Distribution, SAGE Publications, London.
  • Ragin, C.C. (2000), Fuzzy-set Social Science, The University of Chicago Press, Chicago, USA.
  • Rauyruen, P. and Miller, K.E. (2007), “Relationship quality as a predictor of B2B customer loyalty”, Journal of Business Research, Vol. 60 No. 1, pp. 21-31.
  • Ray, J. J. (1990). Acquiescence and problems with forced-choice scale. Journal of Social Psychology, 130, 397–399.
  • Raykov, T., & Marcoulides, G. A. (2006). On multilevel model reliability estimation from the perspective of structural equation modeling. Structural Equation Modeling, 13(1), 130-141.
  • Rinallo, D., Borghini, S. and Golfetto, F. (2010), “Exploring visitor experiences at tradeshows”, Journal of Business & Industrial Marketing, Vol. 25 No. 4, pp. 249-258.
  • Rosson, P. and Seringhaus, F. (1995), “Visitor and exhibitor interaction at industrial trade fairs”, Journal of Business Research, Vol. 32 No. 1, pp. 81-90.
  • Russell, C. J. and Bobko, P. (1992), “Moderated regression analysis and Likert scales:too coarse for comfort”, Journal of Applied Psychology, Vol. 77, pp. 336-342.
  • Seringhaus, F.H.R. and Rosson, P.J. (2001), “Firm experience and international trade fairs”, Journal of Marketing Management, Vol. 17 No. 7/8, pp. 877-901.
  • Seringhaus, F.H.R. and Rosson, P.J. (2004), “An analysis model for performance measurement of international trade fair exhibitors”, available at http://citt .management. dal.ca/Files/ pdf’s/DP-198.pdf.
  • Shipley, D., Egan, C. and Wong, K. (1993), “Dimensions of trade show exhibiting management”, Journal of Marketing Management, Vol. 9, pp. 55-63.
  • Shoham, A. (1999), “Performance in trade shows and exhibitions: a synthesis and directions for future research”, Journal of Global Marketing, Vol. 12 No. 3, pp. 41-57.
  • Smith, T.M., Hama, K. and Smith, P. (2003), “The effect of successful trade show attendance on future show interest: exploring Japanese attendee perspectives of domestic and offshore international events”, Journal of Business & Industrial Marketing, Vol. 18 No. 4/5, pp. 403-418.
  • Smithson, M. J. (1987). Fuzzy set analysis for the behavioral and social sciences (Recent Research in Psychology). New York: Springer-Verlag
  • Symeonaki, M. and Kazani, A. (2011), Developing a Fuzzy Likert Scale for Measuring Xenophobia in Greece, ASMDA, Rome.
  • Tafesse, W. (2014). “Understanding how resource deployment strategies influence trade show organizers’ performance effectiveness”, European Journal of Marketing, Vol. 48 No. 5/6, pp. 1009-1025.
  • Tafesse, W. and Skallerud, K. (2015), “Towards an exchange view of trade fairs”, Journal ofBusiness & Industrial Marketing, Vol. 30 No. 7, pp. 795-804.
  • Tafesse, W. and Korneliussen, T. (2011), “The dimensionality of trade show performance in an emerging market”, International Journal of Emerging Markets, Vol. 6 No. 1, pp. 38-49.
  • Tanford, S., Montgomery, R., & Nelson, K. B. (2012, October). Factors that influence attendance, satisfaction, and loyalty for conventions. In Journal of Convention & Event Tourism (Vol. 13, No. 4, pp. 290-318). Taylor & Francis Group.
  • Tanner, J.F., Chonko, L.B. and Ponzurick, T.V. (2001), “A learning model of trade exhibition attendance”, Journal of Convention and Exhibition Management, Vol. 3 No. 3, pp. 3-26.
  • Tanner, J.F. Jr (2002), “Leveling the playing field: factors influencing trade show success for small companies”, Industrial Marketing Management, Vol. 31, pp. 229-239.
  • Tsaur, S.H., Chang, T.Y. and Yen, C.H. (2002), “The evaluation of airline service qualityby fuzzy MCDM”, Tourism Management, Vol. 23 No. 2, pp. 107-115.
  • Tsaur, Sheng-Hshiung, Tzeng Gwo-Hshiung, Wang Kuo-Ching (1997) Evaluating Tourist Risks From Fuzzy Perspectives Annals of Tourism Research, Vol. 24, No. 4, pp. 796812,
  • Tseng, M.-L. (2009a), “A causal and effect decision making model of service qualityexpectation using grey-fuzzy DEMATEL approach”, Expert Systems with Applications, Vol. 36, pp. 7738-7748.
  • Tseng, M.-L. (2009b), “Using the extension of DEMATEL to integrate hotel servicequality perceptions into a cause–effect model in uncertainty”, Expert Systems with Applications, Vol. 36, pp. 9015-9023.
  • Tzeng, G.H. and Hwang, C.L. (2014), Fuzzy Multiple Objective Decision Making, CRCPress, Boca Raton, USA.
  • Tzeng, G.H., Jen, W. and Hu, K.C. (2002), “Fuzzy factor analysis for selecting service qualityfactors – a case of the service quality of city bus service”, International Journal of FuzzySystems, Vol. 4 No. 1, pp. 911-921.
  • Wan, P. and Siu, N. (2012), “The impact of the servicescape on the desire to stay inconvention and exhibition centers: the case of Macao”, International Journal ofHospitality Management, Vol. 31 No. 1, pp. 236-246.
  • Wendorf Craig A. (2002) Comparisons of Structural Equation Modeling and Hierarchical Linear Modeling Approaches to Couples' Data, Structural Equation Modeling: A Multidisciplinary Journal, 9:1, 126-140
  • Whitfield, J., Dioko, L., Webber, D. and Zhang, L. (2012), “Attracting convention andexhibition attendance to complex MICE venues: emerging data from Macao”, International Journal of Tourism Research, Vol. 16 No. 2, pp. 169-179.
  • Whitfield, J. and Webber, D.J. (2011), “Which exhibition attributes create repeat visitation?”, International Journal of Hospitality Management, Vol. 30, pp. 439-447.
  • Whitfield, J., Dioko, L.A.N., Webber, D. and Zhang, L. (2014), “Attracting convention and exhibition attendance to complex MICE venues: emerging data from Macao”, International Journal of Tourism Research, Vol. 16, pp. 169-179.
  • Wu, W. Y., Hsiao, S. W., & Kuo, H. P. (2004). Fuzzy set theory based decision model for determining market position and developing strategy for hospital service quality. Total Quality Management & Business Excellence, 15(4), 439-456.
  • Xuan, Xiao (2013) Structural Equation Modeling Compared with Ordinary Least Squares in Simulations and Life Insurers' Data Report Presented to the Faculty of the GraduateSchool of The University of Texas at Austin in Partial Fulfillment of the Requirements for the Degree of Master of Science in Statistics The University of Texas at Austin
  • Yoo, J. and Chon, K. (2008), “Factors affecting convention participation decision-making: developing a measurement scale”, Journal of Travel Research, Vol. 47 No. 3, pp. 113-122.
  • Zadeh, L.A. (1965), “Fuzzy sets”, Information and Control, Vol. 8 No. 3, pp. 338-353.
  • Zadeh, L.A. (1975) The concept of a linguistic variable and its applications to approximate reasoning. Part I, Inform. Sci. 8 199–249, Part II, Inform. Sci. 8 301–357
  • Zadeh, L.A., Kacprzyk, J. (1999) Computing with Words in Information/Intelligent Systems 2. Applications. Studies in Fuzziness and Soft Computing, Vol. 33. Physica-Verlag (Springer-Verlag),Heidelberg and New York.
  • Zhang, L., Qu, H. and Ma, J. (2010), “Examining the relationship of exhibition attendees’satisfaction and expenditure: the case of two major exhibitions in China”, Journal of Convention & Event Tourism, Vol. 11 No. 2, pp. 100-118.
  • 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.
There are 118 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Feride Bahar Işın This is me

Kumru Didem Atalay

Ayşegül Alagöz

İrem Sevindik

Publication Date April 30, 2019
Submission Date February 7, 2019
Acceptance Date April 29, 2019
Published in Issue Year 2019 Volume: 4 Issue: 1

Cite

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