展覽產業對經濟發展具有潛在的影響力，因此評估展覽效率是至關重要的。透過利益關係者理論結合資源基礎理論，主辦單位需妥善運用現有資源，藉此提高展覽的整體效率，滿足展覽中三方 (主辦單位、參展商、參觀者) 利益關係者之需求。本研究蒐集2017及2018年的展後報告之次級資料，共83筆，應用資料包絡分析法及截斷式迴探討展覽效率之因素，第一階段採用資料包絡分析法，共三項投入，展覽攤位數、展場淨面積、參展廠商數，與一項產出，參觀者人數，以投入導向CCR與BCC模型衡量展覽效率值。第二階段以截斷式迴歸分析，探討展覽舉辦的場館地點、類型、所屬的產業類型、主辦單位的種類、主辦單位的數量、主辦單位之成立年限及展覽舉辦的年度對展覽效率值是否有顯著影響。根據實證研究結果顯示，2017年及2018年的展覽平均整體效率、純粹效率與規模效率值分別為0.265、0.582、0.447和0.267、0.513、0.511，而世貿年貨展為擁有最佳資源配置 (攤位數、展場淨面積、參展廠商數) 之標竿。舉辦展覽應選擇位於核心商業區的場館地點、所屬的產業為觀光餐飲及休閒業或新興產業、主辦單位為私人結合非營利組織、非單一主辦單位會有較佳的展覽效率，此研究結果提供展覽主辦單位作為往後舉辦展覽時的參考依據及建議。

The exhibition industry has a certain influence on a country's economic development due to its high value. Through ST and RBT, the organizers should make proper use of existing resources to improve the exhibition’s efficiency and meet the needs of the stakeholders (organizers, exhibitors, visitors). This study collects secondary data from the 2017 and 2018 post-show reports from a total of 83 exhibitions. The first stage applies the input-oriented CCR and BCC model to evaluate efficiency scores, with a total of three inputs (number of booths, net exhibition space, number of exhibitors) and one output (number of visitors). The second stage uses truncated regression to explore whether exhibition venue and type, type of the exhibition industry and organizer, number of organizers, age of organizers, and holding year of the exhibition have any impact on the exhibition efficiency. Empirical results show that the average TE, PTE, SE for 2017 and 2018 were 0.265, 0.582, 0.447 and 0.267, 0.513, 0.511 respectively. The Taiwan New Year Market Fair was the benchmark for the exhibition. The exhibition should be located in the venue of the core business district, the industry of hospitality, the organizer composed of private enterprise and non-profit organization, more than one organizer will have better exhibition efficiency. This result provides the exhibition organizers a reference and suggestion for holding exhibitions in the future.

一、中文文獻
丁語純 (2017)。探討臺北國際旅展不同產業參展商之群組相對績效表現（未出版碩士論文）。國立臺灣師範大學，臺北市。
吳明隆、涂金堂 (2005)。SPSS與統計應用分析。臺北市：五南文化事業。
黃鏡如、傅祖壇、黃美瑛 (2008)。績效評估-效率與生產力之理論與應用。台北市：新陸書局。
經濟部國際貿易局 (2018)。會展產業簡介。2018年9月1日，取自：https://www.trade.gov.tw/Pages/Detail.aspx?nodeID=1789&pid=595685
經濟部國際貿易局 (2018)。推動臺灣會展產業發展計畫。2018年8月2日，取自：https://www.trade.gov.tw/Pages/Detail.aspx?nodeID=1791&pid=595629&dl_DateRange=all&txt_SD=&txt_ED=&txt_Keyword=&Pageid=0
游明敏、李綱 (2009)。生產力與效率衡量-資料包絡分析法理論與應用。國防管理學報，30(2)，17-31。
臺灣會展網 (2018)。會展產業調查與會展產業規模評估。2018年8月2日，取自：https://www.meettaiwan.com/mtfiles/mt//doc/201803/1522206323709-0.pdf
臺灣會展網 (2018)。2020年國際會議趨勢及臺灣策略研究。2018年8月2日，取自：臺灣會展網網址：https://www.meettaiwan.com/mtfiles/mt//doc/201702/1487216606563-0.pdf
臺灣經濟研究院 (2019)。臺經院產經資料庫。2019年3月17日，取自：https://tie.tier.org.tw/db/article/list.aspx?code=ENV10&ind_type=topind
盧文民、王宗誠、吳秀華 (2012)。國家研發組織績效及其影響因素之研究。管理與系統，19(3)，561-587。
二、外文文獻
Abou-Shouk, M. A., Zoair, N. I., Farrag, M. M., & Hewedi, M. M. (2018). The role of international exhibition venues in marketing exhibitors’ destinations. Journal of Vacation Marketing, 24(2), 136-147.
Abu-Shanab, E., & Bataineh, L. Q. (2016). Key success factors of e-government projects: Jordanians' perceptions. International Journal of Information Technology Project Management, 7(1), 32-46.
Acedo, F. J., Barroso, C., & Galan, J. L. (2006). The resource‐based theory: Dissemination and main trends. Strategic Management Journal, 27(7), 621-636.
Adams, R., Coyle, T., Downey, C., & Lovett, M. (2017). Macroeconomic impact on trade show goals. Journal of Business & Industrial Marketing, 32(5), 710-721.
Afthinos, Y., Theodorakis, N. D., & Nassis, P. (2005). Customers’ expectations of service in Greek fitness centers: Gender, age, type of sport center, and motivation differences. Managing Service Quality: An International Journal, 15(3), 245-258.
Alberca, P., Rodríguez, A., & Parte, L. (2015). Measuring the efficiency of trade shows: A Spanish case study. Tourism Management, 47, 127-137.
Alvarez, S. A., & Barney, J. B. (2017). Strategic Entrepreneurship: Creating a new mindset. In M. A. Hitt, R. Duane Ireland, S. Michael Camp, & Donald Sexton (Eds.), Resource-based Theory and the Entrepreneurial Firm (pp. 87-105). Oxford, UK: Blackwell.
Anderson, R. I., Lewis, D., & Parker, M. E. (1999). Another look at the efficiency of corporate travel management departments. Journal of Travel Research, 37(3), 267-272.
Arjomandi, A., Dakpo, K. H., & Seufert, J. H. (2018). Have Asian airlines caught up with European airlines? A by-production efficiency analysis. Transportation Research Part A: Policy and Practice, 116, 389-403.
Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of Ｍarketing Research, 4(3), 291-295.
Assaf, A., Barros, C. P., & Josiassen, A. (2010). Hotel efficiency: A bootstrapped metafrontier approach. International Journal of Hospitality Management, 31(2), 621-629.
Ausstellungs- und Messe-Ausschuss (2019). AUMA Practice Successful Participation in Trade Fairs. Retrieved from https://www.auma.de/en
Babazadeh, R., Razmi, J., Rabbani, M., & Pishvaee, M. S. (2017). An integrated data envelopment analysis-mathematical programming approach to strategic biodiesel supply chain network design problem. Journal of Cleaner Production, 147, 694-707.
Babiak, K., & Kihl, L. A. (2018). A case study of stakeholder dialogue in professional sport: An example of CSR engagement. Business and Society Review, 123(1), 119-149.
Baker, A. M., Donthu, N., & Kumar, V. (2016). Investigating how word-of-mouth conversations about brands influence purchase and retransmission intentions. Journal of Marketing Research, 53(2), 225-239.
Ball, S. D., Johnson, K., & Slattery, P. (1986). Labor productivity in hotels: An empirical analysis. International Journal of Hospitality Management, 5(3), 141-147.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
Barak, S., & Dahooei, J. H. (2018). A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation. Journal of Air Transport Management, 73, 134-149.
Barbot, C., Costa, Á., & Sochirca, E. (2008). Airlines performance in the new market context: A comparative productivity and efficiency analysis. Journal of Air Transport Management, 14(5), 270-274.
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120.
Barros, C. P. (2005). Evaluating the efficiency of a small hotel chain with a Malmquist productivity index. International Journal of Tourism Research, 7(3), 173-184.
Barros, C. P., & Peypoch, N. (2009). An evaluation of European airlines’ operational performance. International Journal of Production Economics, 122(2), 525-533.
Barros, C. P., Botti, L., Peypoch, N., Robinot, E., Solonandrasana, B., & Assaf, G. (2011). Performance of French destinations: tourism attraction perspectives. Tourism Management, 32(1), 141-146.
Barry, D. & Elmes, M. (2017). Strategy retold: Toward a narrative view of strategic discourse. In S. Minahan (Ed.), The Aesthetic Turn in Management (pp. 39-62). London, UK: Routledge.
Ben Aissa, S., & Goaied, M. (2016). Determinants of tourism hotel market efficiency. International Journal of Culture, Tourism and Hospitality Research, 10(2), 173-190.
Berman, S. L., Wicks, A. C., Kotha, S., & Jones, T. M. (1999). Does stakeholder orientation matter? The relationship between stakeholder management models and firm financial performance. Academy of Management Journal, 42(5), 488-506.
Berne, C., & Garcia-Uceda, M. E. (2008). Criteria involved in evaluation of trade shows to visit. Industrial Marketing Management, 37(5), 565-579.
Binam, J. N., Sylla, K., Diarra, I., & Nyambi, G. (2003). Factors affecting technical efficiency among coffee farmers in cote d’ivoire: Evidence from the centre west region. African Development Review, 15(1), 66-76.
Bhadra, D. (2009). Race to the bottom or swimming upstream: Performance analysis of US airlines. Journal of Air Transport Management, 15(5), 227-235.
Bloch, P. H., Gopalakrishna, S., Crecelius, A. T., & Scatolin Murarolli, M. (2017). Exploring booth design as a determinant of trade show success. Journal of Business-to-Business Marketing, 24(4), 237-256.
Boiral, O., & Heras-Saizarbitoria, I. (2017). Managing biodiversity through stakeholder involvement: why, who, and for what initiatives? Journal of Business Ethics, 140(3), 403-421.
Bogetoft, P., & Kromann, L. (2018). Evaluating treatment effects using data envelopment analysis on matched samples: An analysis of electronic information sharing and firm performance. European Journal of Operational Research, 270(1), 302-313.
Bonoma, T. V. (1983). Get more out of your trade shows. Harvard Business Review, 61(1), 75-83.
Botti, L., Briec, W., & Cliquet, G. (2009). Plural forms versus franchise and company- owned systems: A DEA approach of hotel chain performance. Omega, 37(3), 566-578.
Boudaghi, E., & Saen, R. F. (2018). Developing a novel model of data envelopment analysis-discriminant analysis for predicting group membership of suppliers in sustainable supply chain. Computers and Operations Research, 89, 348-359.
Bowlin, W. F., Charnes, A., Cooper, W. W., & Sherman, H. D. (1984). Data envelopment analysis and regression approaches to efficiency estimation and evaluation. Annals of Operations Research, 2(1), 113-138.
Bravo-Ureta, B. E., Solis, D., Cocchi, H., & Quiroga, R. E. (2006). The impact of soil conservation and output diversification on farm income in central American hillside farming. Agricultural Economics, 35(3), 267-276.
Bray, S., Caggiani, L., & Ottomanelli, M. (2015). Measuring transport systems efficiency under uncertainty by fuzzy sets theory based Data Envelopment Analysis: Theoretical and practical comparison with traditional DEA model. Transportation Research Procedia, 5, 186-200.
Breiter, D., & Milman, A. (2006). Attendees’ needs and service priorities in a large convention center: Application of the importance-performance theory. Tourism Management, 27(6), 1364-1370.
Browning, J. M., & Adams, R. J. (1988). Trade shows: An effective promotional tool for the small industrial business. Journal of Small Business Management, 26(4), 31-36.
Bryson, J. M. (2004). What to do when stakeholders matter: Stakeholder identification and analysis techniques. Public Management Review, 6(1), 21-53.
Bryson, J. M., Ackermann, F., & Eden, C. (2007). Putting the resource‐based view of strategy and distinctive competencies to work in public organizations. Public Administration Review, 67(4), 702-717.
Cescon, F., Costantini, A., & Grassetti, L. (2018). Strategic choices and strategic management accounting in large manufacturing firms. Journal of Management and Governance, 23, 1-32.
Chaabouni, S. (in press). China's regional tourism efficiency: A two-stage double bootstrap data envelopment analysis. Journal of Destination Marketing and Management. Retrieved from https://www.sciencedirect.com/science/article/pii/S2212571X17303074
Chae, B. K., Yang, C., Olson, D., & Sheu, C. (2014). The impact of advanced analytics and data accuracy on operational performance: A contingent resource based theory (RBT) perspective. Decision Support Systems, 59, 119-126.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
Chen, C., Achtari, G., Majkut, K., & Sheu, J. B. (2017). Balancing equity and cost in rural transportation management with multi-objective utility analysis and data envelopment analysis: A case of Quinte West. Transportation Research Part A: Policy and Practice, 95, 148-165.
Cheng, J. Y. J., Groysberg, B., Healy, P., & Vijayaraghavan, R. (2017). Director Perceptions of their boards’ effectiveness, size and composition, dynamics, and internal governance. Retrieved from http://www.hbs.edu/faculty/Publication%20Files/Board%20Effectiveness%20Paper_2017_11_29_a7983f39-16b4-4ec7-8ba0-83aa0d99facd.pdf
Chen, Y. F., & Mo, H. E. (2012). Attendees' perspectives on the service quality of an exhibition organizer: A case study of a tourism exhibition. Tourism Management Perspectives, 1, 28-33.
Chiang, W., Tsai, M., & Wang, L. S. M. (2004). A DEA evaluation of Taipei hotels. Annals of Tourism Research, 31(3), 712-715.
Chintrakarn, P., Jiraporn, P., Tong, S., & Proctor, R. M. (2017). Using demographic identification to estimate the effects of board size on corporate performance. Applied Economics Letters, 24(11), 766-770.
Chuang, S. H., & Lin, H. N. (2017). Performance implications of information-value offering in e-service systems: Examining the resource-based perspective and innovation strategy. The Journal of Strategic Information Systems, 26(1), 22-38.
Čiarnienė, R., & Vienažindienė, M. (2012). Lean manufacturing: Theory and practice. Economics and Management, 17(2), 726-732.
Cirjaliu, B., & Draghici, A. (2016). Ergonomic issues in lean manufacturing. Procedia-Social and Behavioral Sciences, 221, 105-110.
Cook, W. D., Tone, K., & Zhu, J. (2014). Data envelopment analysis: Prior to choosing a model. Omega, 44, 1-4.
Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software. Norwell, MA: Kluwer Academic Publisher.
Cox, J. M., Sequeira, I. K., & Bock, L. L. (1986). Trade shows trends. Audience quality remains high. Business Marketing, 5, 108-114.
Crowther, P., & Donlan, L. (2011). Value-creation space: The role of events in a service-dominant marketing paradigm. Journal of Marketing Management, 27(13-14), 1444-1463.
Cui, Q., & Li, Y. (2017). Airline efficiency measures using a Dynamic Epsilon-Based Measure model. Transportation Research Part A: Policy and Practice, 100, 121-134.
Cui, Q., Wei, Y. M., & Li, Y. (2016). Exploring the impacts of the EU ETS emission limits on airline performance via the dynamic environmental DEA approach. Applied Energy, 183, 984-994.
Das, T. K., & Teng, B. S. (2000). A resource-based theory of strategic alliances. Journal of Management, 26(1), 31-61.
Davis, P. J., & Simpson, E. (2017). Resource-based theory, competition and staff differentiation in Africa: Leveraging employees as a source of sustained competitive advantage. American Journal of Management, 17(1), 19-33.
Davutyan, N. (2007). Measuring the quality of hospitality at Antalya. International Journal of Tourism Research, 9(1), 51-57.
De Bruyn, A., & Lilien, G. L. (2008). A multi-stage model of word-of-mouth influence through viral marketing. International Journal of Research in Marketing, 25(3), 151-163.
De Gooyert, V., Rouwette, E., van Kranenburg, H., & Freeman, E. (2017). Reviewing the role of stakeholders in operational research: A stakeholder theory perspective. European Journal of Operational Research, 262(2), 402-410.
De Vries, L., Gensler, S., & Leeflang, P. S. (2012). Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83-91.
Drenger, J., Gaus, H., & Jahn, S. (2008). Does flow influence the brand image in event marketing? Journal of Advertising Research, 48(1), 138-147.
Drew, J., Kortt, M. A., & Dollery, B. (2017). No Aladdin’s Cave in New South Wales? Local government amalgamation, scale economies, and data envelopment analysis specification. Administration & Society, 49(10), 1450-1470.
Eckardt, R., Skaggs, B. C., & Lepak, D. P. (2018). An examination of the firm-level performance impact of cluster hiring in knowledge-intensive firms. Academy of Management Journal, 61(3), 919-944.
Eisenberg, T., Sundgren, S., & Wells, M. T. (1998). Larger board size and decreasing firm value in small firms. Journal of Financial Economics, 48, 35-54.
El Akremi, A., Gond, J. P., Swaen, V., De Roeck, K., & Igalens, J. (2018). How do employees perceive corporate responsibility? Development and validation of a multidimensional corporate stakeholder responsibility scale. Journal of Management, 44(2), 619-657.
Emrouznejad, A., & Yang, G. L. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978-2016. Socio Economic Planning Sciences, 61, 4-8.
Ennen, D., & Batool, I. (2018). Airport efficiency in Pakistan-A Data Envelopment Analysis with weight restrictions. Journal of Air Transport Management, 69, 205-212.
Eskelinen, J. (2017). Comparison of variable selection techniques for data envelopment analysis in a retail bank. European Journal of Operational Research, 259(2), 778-788.
Falck, O., & Heblich, S. (2007). Corporate social responsibility: Doing well by doing good. Business Horizons, 50(3), 247-254.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120(3), 253-290.
Fazlollahi, A., & Franke, U. (2018). Measuring the impact of enterprise integration on firm performance using data envelopment analysis. International Journal of Production Economics, 200, 119-129.
Ferro, C., Padin, C., Svensson, G., Sosa Varela, J. C., Wagner, B., & Høgevold, N. M. (2017). Validating a framework of stakeholders in connection to business sustainability efforts in supply chains. Journal of Business & Industrial Marketing, 32(1), 124-137.
Field, A. J. (2017). Ideology, economic policy, and economic history: Cohen and DeLong's concrete economics. Journal of Economic Literature, 55(4), 1526-55.
Flammer, C., & Luo, J. (2017). Corporate social responsibility as an employee governance tool: Evidence from a quasi-experiment. Strategic Management Journal, 38(2), 163-183.
Freeman, R. E. (1984). Strategic management: A stakeholder approach. Boston, MA: Pitman.
Freeman, R. E. (2000). Business ethics at the millennium. Business Ethics Quarterly, 10(1), 169-180.
Gao, H., Tate, M., Zhang, H., Chen, S., & Liang, B. (2018). Social Media Ties Strategy in International Branding: An application of resource-based theory. Journal of International Marketing, 26(3), 45-69.
Grant, R. M., (1991). The resource-based theory of competitive advantage: Implications for strategy formulation. California Management Review, 33(3), 114-135.
Golany, B., & Roll, Y. (1989). An application procedure for DEA. Omega, 17(3), 237-250.
Gopalakrishna, S., Roster, C. A., & Sridhar, S. (2010). An exploratory study of attendee activities at a business trade show. Journal of Business and Industrial Marketing, 25(4), 241-248.
Gottlieb, U., & Bianchi, C. (2017). Virtual trade shows: Exhibitors’ perspectives on virtual marketing capability requirements. Electronic Commerce Research and Applications, 21, 17-26.
Gottlieb, U., Brown, M., & Ferrier, L. (2014). Consumer perceptions of trade show effectiveness: Scale development and validation within a B2C context. European Journal of Marketing, 48(1/2), 89-107.
Grover, V., Chiang, R. H., Liang, T. P., & Zhang, D. (2018). Creating strategic business value from big data analytics: A research framework. Journal of Management Information Systems, 35(2), 388-423.
Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308-317.
Hao, G., Wei, Q. L., & Yan, H. (2000). A game theoretical model of DEA efficiency. Journal of the Operational Research Society, 51(11), 1319-1329.
Henn, S., & Bathelt, H. (2015). Knowledge generation and field reproduction in temporary clusters and the role of business conferences. Geoforum, 58, 104-113.
Henriques, I. C., Sobreiro, V. A., Kimura, H., & Mariano, E. B. (2018). Efficiency in the Brazilian banking system using data envelopment analysis. Future Business Journal, 4(2), 157-178.
Hernández-Méndez, J., & Muñoz-Leiva, F. (2015). What type of online advertising is most effective for eTourism 2.0? An eye tracking study based on the characteristics of tourists. Computers in Human Behavior, 50, 618-625.
Hitt, M. A., Xu, K., & Carnes, C. M. (2016). Resource-based theory in operations management research. Journal of Operations Management, 41, 77-94.
Höglund, L., Holmgren Caicedo, M., Mårtensson, M., & Svärdsten, F. (2018). Strategic management in the public sector: How tools enable and constrain strategy making. International Public Management Journal, 21(5), 822-849.
Hosseinzadeh-Bandbafha, H., Nabavi-Pelesaraei, A., Khanali, M., Ghahderijani, M., & Chau, K. W. (2018). Application of data envelopment analysis approach for optimization of energy use and reduction of greenhouse gas emission in peanut production of Iran. Journal of Cleaner Production, 172, 1327-1335.
Hoskisson, R. E., Hitt, M. A., Wan, W. P., & Yiu, D. (1999). Theory and research in strategic management: Swings of a pendulum. Journal of Management, 25(3), 417-456.
Hu, J. L., & Liang, H. L. (2016). Operating efficiency of international tourist hotels in Taiwan by taking into account congestion. International Journal of Hospitality & Tourism Administration, 17(3), 223-242.
Hudson, S., Huang, L., Roth, M. S., & Madden, T. J. (2016). The influence of social media interactions on consumer-brand relationships: A three-country study of brand perceptions and marketing behaviors. International Journal of Research in Marketing, 33(1), 27-41.
Hwang, S. N., & Chang, T. Y. (2003). Using data envelopment analysis to measure hotel managerial efficiency change in Taiwan. Tourism Management, 24(4), 357-369.
Hwang, S. N., Lee, C., & Chen, H. J. (2005). The relationship among tourists’ involvement, place attachment and interpretation satisfaction in Taiwan’s national parks. Tourism Management, 26(2), 143-156.
Jackson, S., & Wong, M. S. (2017). A cultural theory analysis of e-government: Insights from a local government council in Malaysia. Information Systems Frontiers, 19(6), 1391-1405.
Jang, Y. J., Zheng, T., & Bosselman, R. (2017). Top managers’ environmental values, leadership, and stakeholder engagement in promoting environmental sustainability in the restaurant industry. International Journal of Hospitality Management, 63, 101-111.
Jin, X., Weber, K., & Bauer, T. (2012). Relationship quality between exhibitors and organizers: A perspective from Mainland China's exhibition industry. International Journal of Hospitality Management, 31(4), 1222-1234.
Jin, X., & Weber, K. (2013). Developing and testing a model of exhibition brand preference: The exhibitors' perspective. Tourism Management, 38, 94-104.
Jin, X., & Weber, K. (2016). Exhibition destination attractiveness organizers’ and visitors’ perspectives. International Journal of Contemporary Hospitality Management, 28(12), 2795-2819.
Jiang, X., Liu, H., Fey, C., & Jiang, F. (2018). Entrepreneurial orientation, network resource acquisition, and firm performance: A network approach. Journal of Business Research, 87, 46-57.
Jones, T. M., Wicks, A. C., & Freeman, R. E. (2017). Stakeholder theory: The state of the art. In Bowie, N. E. (Ed.), The Blackwell Guide to Business Ethics (17-37). New York, NY: Wiley-Blackwell.
Kapoor, R., & Agarwal, S. (2017). Sustaining superior performance in business ecosystems: Evidence from application software developers in the iOS and Android smartphone ecosystems. Organization Science, 28(3), 531-551.
Kiecker, P., & Cowles, D. (2002). Interpersonal communication and personal influence on the Internet: A framework for examining online word-of-mouth. Journal of Euromarketing, 11(2), 71-88.
Kim, S., Kandampully, J., & Bilgihan, A. (2018). The influence of eWOM communications: An application of online social network framework. Computers in Human Behavior, 80, 243-254.
Kim, S., & Kim, D. (2003). South Korean public officials’ perceptions of values, failure, and consequences of failure in e-government leadership. Public Performance & Management Review, 26(4), 360-375.
Kim, D., & Kim, S. Y. (1995). QUESC: An instrument for assessing the service quality of sport centers in Korea. Journal of Sport Management, 9(2), 208-220.
Kim, H. J., Park, J., & Wen, J. (2015). General managers’ environmental commitment and environmental involvement of lodging companies: The mediating role of environmental management capabilities. International Journal of Contemporary Hospitality Management, 27(7), 1499-1519.
Koivisto, E., & Mattila, P. (2018). International fashion trade shows as platforms for experiential branding. Journal of Global Fashion Marketing, 9(2), 161-178.
Köksal, C. D., & Aksu, A. A. (2007). Efficiency evaluation of A-group travel agencies with data envelopment analysis (DEA): A case study in the Antalya region, Turkey. Tourism Management, 28(3), 830-834.
Kong, S., Huang, Z., Scott, N., Zhang, Z. A., & Shen, Z. (2019). Web advertisement effectiveness evaluation: Attention and memory. Journal of Vacation Marketing, 25(1), 130-146.
Kottas, A. T., & Madas, M. A. (2018). Comparative efficiency analysis of major international airlines using Data Envelopment Analysis: Exploring effects of alliance membership and other operational efficiency determinants. Journal of Air Transport Management, 70, 1-17.
Kuisma, J., Simola, J., Uusitalo, L., & Öörni, A. (2010). The effects of animation and format on the perception and memory of online advertising. Journal of Interactive Marketing, 24(4), 269-282.
Kung, S. P., & Taylor, P. (2010). The effect of management types on the performance of English public sports centres. International Journal of Sport Policy, 2(3), 303-326.
Lado-Sestayo, R., & Fernández-Castro, Á. S. (2019). The impact of tourist destination on hotel efficiency: A data envelopment analysis approach. European Journal of Operational Research, 272(2), 674-686.
Lafuente, E., Szerb, L., & Acs, Z. J. (2016). Country level efficiency and national systems of entrepreneurship: A data envelopment analysis approach. The Journal of Technology Transfer, 41(6), 1260-1283.
Lam, H. K., Yeung, A. C., & Cheng, T. E. (2016). The impact of firms’ social media initiatives on operational efficiency and innovativeness. Journal of Operations Management, 47, 28-43.
LaPlante, A. E., & Paradi, J. C. (2015). Evaluation of bank branch growth potential using data envelopment analysis. Omega, 52, 33-41.
Lawson, F. R. (2000). Congress, convention and exhibition facilities: Planning, design and management. New York, NY: Architectural Press.
Lee, T. H., Fu, C. J., & Tsai, L. F. (2018). Why does a firm participate in a travel exhibition? A case study of the Taipei International Travel Fair. Asia Pacific Journal of Tourism Research, 23(7), 677-690.
Li, P. F. (2014). Global temporary networks of clusters: structures and dynamics of trade fairs in Asian economies. Journal of Economic Geography, 14(5), 995-1021.
Lin, Y., & Wu, L. Y. (2014). Exploring the role of dynamic capabilities in firm performance under the resource-based view framework. Journal of Business Research, 67(3), 407-413.
Lin, Y. (2016). An examination of determinants of trade show exhibitors’ behavioral intention: A stakeholder perspective. International Journal of Contemporary Hospitality Management, 28(12), 2630-2653.
Lin, Y., Jiang, J., & Kerstetter, D. (2018). A three-component framework for trade show performance evaluation. Journal of Hospitality & Tourism Research, 42(6), 855-879.
Liu, Y. D., Taylor, P., & Shibli, S. (2007). The operational efficiency of English public sport facilities. Managing Leisure, 12(4), 251-272.
Malek, K., Tanford, S., & Baloglu, S. (2018). Evaluating event effectiveness across alternate platforms. Event Management, 22(2), 135-151.
Mansour, D., & Barandas, H. (2017). High-tech entrepreneurial content marketing for business model innovation: A conceptual framework. Journal of Research in Interactive Marketing, 11(3), 296-311.
Martinsuo, M., & Hoverfält, P. (2018). Change program management: Toward a capability for managing value-oriented, integrated multi-project change in its context. International Journal of Project Management, 36(1), 134-146.
Melville, N., Kraemer, K., & Gurbaxani, V. (2004). Information technology and organizational performance: An integrative model of IT business value. MIS Quarterly, 28(2), 283-322.
Meyer-Waarden, L. (2008). The influence of loyalty programme membership on customer purchase behaviour. European Journal of Marketing, 42(1/2), 87-114.
McDermott, K., Kurucz, E. C., & Colbert, B. A. (2018). Social entrepreneurial opportunity and active stakeholder participation: Resource mobilization in enterprising conveners of cross-sector social partnerships. Journal of Cleaner Production, 183, 121-131.
McLeod, M. S., Moore, C. B., Payne, G. T., Sexton, J. C., & Evert, R. E. (2018). Organizational virtue and stakeholder interdependence: An empirical examination of financial intermediaries and IPO firms. Journal of Business Ethics, 149(4), 785-798.
Menon, S., & Edward, M. (2017). Motivations and Performance of Exhibitors: An exploratory study of a destination marketing event. Asian Journal of Management, 8(2), 315-323.
Mirabeau, L., Maguire, S., & Hardy, C. (2018). Bridging practice and process research to study transient manifestations of strategy. Strategic Management Journal, 39(3), 582-605.
Mirhedayatian, S. M., Azadi, M., & Saen, R. F. (2014). A novel network data envelopment analysis model for evaluating green supply chain management. International Journal of Production Economics, 147, 544-554.
Moon, H. S., Kim, J. K., & Ryu, Y. U. (2013). A sequence-based filtering method for exhibition booth visit recommendations. International Journal of Information Management, 33(4), 620-626.
Morrell, P. S., & Taneja, N. K. (1979). Airline productivity redefined: An analysis of US and European carriers. Transportation, 8(1), 37-49.
Nartey, L. J., Henisz, W. J., & Dorobantu, S. (2018). Status climbing vs. bridging: Multinational stakeholder engagement strategies. Strategy Science, 3(2), 367-392.
Nason, R. S., Bacq, S., & Gras, D. (2018). A Behavioral Theory of social performance: Social identity and stakeholder expectations. Academy of Management Review, 43(2), 259-283.
Nayak, J. K., & Bhalla, N. (2016). Factors motivating visitors for attending handicraft exhibitions: Special reference to Uttarakhand, India. Tourism Management Perspectives, 20, 238-245.
Nederhand, J., & Klijn, E. H. (2018). Stakeholder Involvement in Public-Private Partnerships: Its influence on the innovative character of projects and on project performance. Administration & Society, 1-27.
Niu, D., Song, Z., Xiao, X., & Wang, Y. (2018). Analysis of wind turbine micrositing efficiency: An application of two-subprocess data envelopment analysis method. Journal of Cleaner Production, 170, 193-204.
O’Donnell, C. J., Rao, D. P., & Battese, G. E. (2008). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical Economics, 34(2), 231-255.
Oliveira, R., Pedro, M. I., & Marques, R. C. (2013). Efficiency and its determinants in Portuguese hotels in the Algarve. Tourism Management, 36(1), 641-649.
Oliveira, R. S. L. P., Pedro, M. I. C., & Marques, R. D. R. D. C. (2015). Efficiency Evaluation of Portuguese Hotels in the Algarve using Data Envelopment Analysis (DEA). Revista Brasileira de Gestão de Negócios, 17(54), 788-805.
Omrani, H., Shafaat, K., & Emrouznejad, A. (2018). An integrated fuzzy clustering cooperative game data envelopment analysis model with application in hospital efficiency. Expert Systems with Applications, 114, 615-628.
Oppermann, M., & Chon, K. S. (1997). Convention participation decision-making process. Annals of Tourism Research, 24(1), 178-191.
Oukil, A., Channouf, N., & Al-Zaidi, A. (2016). Performance evaluation of the hotel industry in an emerging tourism destination: The case of Oman. Journal of Hospitality and Tourism Management, 29, 60-68.
Park, J., & Kim, H. J. (2014). Environmental proactivity of hotel operations: Antecedents and the moderating effect of ownership type. International Journal of Hospitality Management, 37, 1-10.
Parmar, B. L., Freeman, R. E., Harrison, J. S., Wicks, A. C., Purnell, L., De Colle, S. (2010). Stakeholder theory: The state of the art. Academy of Management Annals, 4, 403-445.
Parte, L., & Alberca, P. (in press). A multistage model to evaluate the efficiency the bar industry. International Journal of Hospitality Management. Retrieved from https://www.sciencedirect.com/science/article/pii/S0278431918300379
Parte, L., & Alberca, P. (2015). Determinants of technical efficiency in the Spanish hotel industry: Regional and corporate performance factors. Current Issues in Tourism, 18(4), 391-411.
Peteraf, M. A. (1993). The cornerstones of competitive advantage: A resource‐based view. Strategic Management Journal, 14(3), 179-191.
Pembegul, A. M. T. T. (2010). Post occupancy evaluation in the practice of architecture: A case study of Lütfi Kirdar convention and exhibition centre. METU JFA, 1, 241.
Philip, T. K., & Gary, A. (2018). Principles of marketing (17th ed.). Harlow, UK: Pearson Education Limited.
Picazo-Tadeo, A. J., Gómez-Limón, J. A., & Reig-Martínez, E. (2011). Assessing farming eco-efficiency: A data envelopment analysis approach. Journal of Environmental Management, 92(4), 1154-1164.
Piran, F. A. S., Lacerda, D. P., Camargo, L. F. R., Viero, C. F., Dresch, A., & Cauchick-Miguel, P. A. (2016). Product modularization and effects on efficiency: An analysis of a bus manufacturer using data envelopment analysis (DEA). International Journal of Production Economics, 182, 1-13.
Prado-Román, C., Blanco-González, A., & Díez-Martín, F. (2012). Efficiency of the exhibitors at art trade show. International Journal of Arts and Commerce, 1(6), 47-54.
Prajogo, D., Mena, C., & Nair, A. (2018). The fit between supply chain strategies and practices: A contingency approach and comparative analysis. IEEE Transactions on Engineering Management, 65(1), 168-180.
Poldrugovac, K., Tekavcic, M., & Jankovic, S. (2016). Efficiency in the hotel industry: An empirical examination of the most influential factors. Economic Research-Ekonomska Istraživanja, 29(1), 583-597.
Polvika, E. G. (2001). Professional meeting management (3rd ed.). Birmingham, UK: Professional Convention.
Porter, M. E. (1980). Competitive strategy: Techniques for analyzing industries and competitors. New York, NY: Free Press.
Porter, M. E., & Advantage, C. (1985). Competitive advantage: Creating and sustaining superior performance. New York, NY: Free Press.
Porter, M. E. (1991). Towards a dynamic theory of strategy. Strategic Management Journal, 12(S2), 95-117.
Powell, J. L. (1984). Least absolute deviations estimation for the censored regression model. Journal of Econometrics, 25(3), 303-325.
Qi, H., Smith, K. A., Yeoman, I., & Goh, S. (2018). Exhibitor retention at an industry exhibition: The case of AgroChemEx in China. Journal of Convention & Event Tourism, 19(1), 44-62.
Rebolledo-Leiva, R., Angulo-Meza, L., Iriarte, A., & González-Araya, M. C. (2017). Joint carbon footprint assessment and data envelopment analysis for the reduction of greenhouse gas emissions in agriculture production. Science of the Total Environment, 593, 36-46.
Reynolds, D., & Taylor, J. (2011). Validating a DEA-based menu analysis model using structural equation modeling. International Journal of Hospitality Management, 30(3), 584-587.
Rinallo, D., Bathelt, H., & Golfetto, F. (2017). Economic geography and industrial marketing views on trade shows: Collective marketing and knowledge circulation. Industrial Marketing Management, 61, 93-103.
Rittichainuwat, B., & Mair, J. (2012). Visitor attendance motivations at consumer travel exhibitions. Tourism Management, 33(5), 1236-1244.
Riasi, A. (2015). Competitive advantages of shadow banking industry: An analysis using Porter diamond model. Business Management and Strategy, 6(2), 15-27.
Rockel, R. (2010). Exhibition design. Designer Profile, 1, 152-173.
Rosenberg Hansen, J., & Ferlie, E. (2016). Applying strategic management theories in public sector organizations: Developing a typology. Public Management Review, 18(1), 1-19.
Rufuss, D. D. W., Kumar, V. R., Suganthi, L., Iniyan, S., & Davies, P. A. (2018). Techno-economic analysis of solar stills using integrated fuzzy analytical hierarchy process and data envelopment analysis. Solar Energy, 159, 820-833.
Rugman, A. M., & D'cruz, J. R. (1993). The double diamond model of international competitiveness: The Canadian experience. Management International Review, 33, 17-39.
Sabate, F., Berbegal, M. J., Cañabate, A., & Lebherz, P. R. (2014). Factors influencing popularity of branded content in Facebook fan pages. European Management Journal, 32(6), 1001-1011.
Santos, S. C., & Morris, M. H. (2017). Resource-based theory and types of entrepreneurial firms. Academy of Management Proceedings, 2017(1), 17637.
Sarkar, S. (2010, August). Rituals in e-government implementation: An analysis of failure. Paper presented at the International Conference on Electronic Government, Berlin. Abstract retrieved from https://link.springer.com/chapter/10.1007/978-3-642-14799-9_20
Sarmento, M., & Simões, C. (2018). The evolving role of trade fairs in business: A systematic literature review and a research agenda. Industrial Marketing Management, 73, 154-170.
Schweidel, D. A., & Moe, W. W. (2014). Listening in on social media: A joint model of sentiment and venue format choice. Journal of Marketing Research, 51(4), 387-402.
Sellers-Rubio, R., & Casado-Díaz, A. B. (2018). Analyzing hotel efficiency from a regional perspective: The role of environmental determinants. International Journal of Hospitality Management, 75, 75-85.
Sepasgozar, S. M., Davis, S. R., & Loosemore, M. (2018). Dissemination practices of construction sites’ technology vendors in technology exhibitions. Journal of Management in Engineering, 34(6), 1-12.
Seraphin, H. (2018). Natural disaster and destination management: The case of the Caribbean and hurricane Irma. Current Issues in Tourism, 22(1), 1-8. Retrieved from https://doi.org/10.1080/13683500.2017.1422483
Simar, L., & Wilson, P. W. (2007). Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics, 136(1), 31-64.
Shang, J. K., Wang, F. C., & Hung, W. T. (2010). A stochastic DEA study of hotel efficiency. Applied Economics, 42(19), 2505-2518.
Smith, T. M., Hama, K., & Smith, P. M. (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, 18(4/5), 403-418.
Solana-Ibáñez, J., Caravaca-Garratón, M., & Para-González, L. (2016). Two-stage data envelopment analysis of Spanish regions: Efficiency determinants and stability analysis. Contemporary Economics, 10(3), 259-274.
Song, M., An, Q., Zhang, W., Wang, Z. & Wu, J. (2012). Environmental efficiency evaluation based on data envelopment analysis: A review. Renewable and Sustainable Energy Reviews, 16(7), 4465-4469.
Soteriades, A. D., Rowland, K., Roberts, D. J., & Stott, A. W. (2018). Identifying and prioritizing opportunities for improving efficiency on the farm: Holistic metrics and benchmarking with Data Envelopment Analysis. International Journal of Agricultural Management, 7(1), 16-29.
Svensson, G., Ferro, C., Hogevold, N., Padin, C., & Sosa Varela, J. C. (2018). Developing a theory of focal company business sustainability efforts in connection with supply chain stakeholders. Supply Chain Management: An International Journal, 23(1), 16-32.
Tafesse, W. (2014). Understanding how resource deployment strategies influence trade show organizers’ performance effectiveness. European Journal of Marketing, 48(5/6), 1009-1025.
Tajbakhsh, A., & Hassini, E. (2015). A data envelopment analysis approach to evaluate sustainability in supply chain networks. Journal of Cleaner Production, 105, 74-85.
Tanford, S., Raab, C., & Kim, Y. S. (2011). The influence of reward program membership and commitment on hotel loyalty. Journal of Hospitality & Tourism Research, 35(3), 279-307.
Tanner Jr, J. F. (2002). Leveling the playing field: Factors influencing trade show success for small companies. Industrial Marketing Management, 31(3), 229-239.
Teece, D. J. (2014). The foundations of enterprise performance: Dynamic and ordinary capabilities in an economic theory of firms. Academy of Management Perspectives, 28(4), 328-352.
Theodoulidis, B., Diaz, D., Crotto, F., & Rancati, E. (2017). Exploring corporate social responsibility and financial performance through stakeholder theory in the tourism industries. Tourism Management, 62, 173-188.
Thomas, D. L., Greffe, R., & Grant, K. C. (1986). Application of data envelopment analysis to management audits of electric distribution utilities. In Robert E. Burnes (Ed.), Proceedings of the Fifth NARUC Biennial Regulatory Information Conference (pp. 1783-1822), Austin, TX: Public Utility Commission of Texas.
Tsionas, E. G., & Assaf, A. G. (2014). Short-run and long-run performance of international tourism: Evidence from Bayesian dynamic models. Tourism Management, 42(1), 22-36.
Tsiligiris, V. (2018). An adapted Porter Diamond Model for the evaluation of transnational education host countries. International Journal of Educational Management, 32(2), 210-226.
Turner, H., Windle, R., & Dresner, M. (2004). North American containerport productivity: 1984-1997. Transportation Research Part E: Logistics and Transportation Review, 40(4), 339-356.
Union des Foires Internationales (2016). The Trade Fair Industry in Asia 12th Edition. Retrieved from https://www.ufi.org/industry-resources/surveys-and-studies/
Union des Foires Internationales (2018). World Map of Venues. Retrieved from http://www.ufi.org/
Wallace, E., Buil, I., & de Chernatony, L. (2014). Consumer engagement with self-expressive brands: Brand love and WOM outcomes. Journal of Product & Brand Management, 23(1), 33-42.
Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. F., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365.
Wang, J., Chen, M. H., Fang, C. Y., & Tian, L. (2018). Does board size matter for Taiwanese hotel performance? Agency theory or resource dependence theory. Cornell Hospitality Quarterly, 59(4) 317-324.
Wang, Y., Lee, M. J., & Huh, C. (2017). Exploring Chinese outbound exhibitors’ motivational factors and characteristics to US exhibition market. Asia Pacific Journal of Tourism Research, 22(8), 850-862.
Wagner Mainardes, E., Alves, H., & Raposo, M. (2011). Stakeholder theory: Issues to resolve. Management Decision, 49(2), 226-252.
Wallis, J., & Zhao, F. (2018). E-government development and government effectiveness: A reciprocal relationship. International Journal of Public Administration, 41(7), 479-491.
Wernerfelt, B. (1984). A resourced-based view of the firm. Strategic Management Journal, 5(2), 171-180.
Whitfield, J., Dioko, L. D. A., Webber, D., & Zhang, L. (2014). Attracting convention and exhibition attendance to complex MICE venues: Emerging data from Macao. International Journal of Tourism Research, 16(2), 169-179.
Whitfield, J., & Webber, D. J. (2011). Which exhibition attributes create repeat visitation? International Journal of Hospitality Management, 30(2), 439-447.
Woo, G. J., & Jun, J. K. (2017). How to create a profitable boothscape? International Journal of Contemporary Hospitality Management, 29(3), 966-985.
Wood, E. H. (2009). Evaluating event marketing: Eexperience or outcome? Journal of Promotion Management, 15(1), 247-268.
Wu, D. D., Yang, Z., & Liang, L. (2006). Efficiency analysis of cross-region bank branches using fuzzy data envelopment analysis. Applied Mathematics and Computation, 181(1), 271-281.
Wu, J., Zhu, Q., Ji, X., Chu, J., & Liang, L. (2016). Two-stage network processes with shared resources and resources recovered from undesirable outputs. European Journal of Operational Research, 251(1), 182-197.
Yang, W. C., Lee, Y. M., & Hu, J. L. (2016). Urban sustainability assessment of Taiwan based on data envelopment analysis. Renewable and Sustainable Energy Reviews, 61, 341-353.
Yermack, D. (1996). Higher market valuation of companies with a small board of directors. Journal of Financial Economics, 40, 185-211.
Yi, X., Fu, X., Jin, W., & Okumus, F. (2018). Constructing a model of exhibition attachment: Motivation, attachment, and loyalty. Tourism Management, 65, 224-236.
Yuksel, A., Yuksel, F., & Bilim, Y. (2010). Destination attachment: Effects on customer satisfaction and cognitive, affective and conative loyalty. Tourism Management, 31(2), 274-284.
Yuksel, U., & Voola, R. (2010). Travel trade shows: Exploratory study of exhibitors' perceptions. Journal of Business & Industrial Marketing, 25(4), 293-300.
York, J. L., & Danes, J. E. (2014). Customer development, innovation, and decision-making biases in the lean startup. Journal of Small Business Strategy, 24(2), 21-40.
Zhang, J., Li, H., Xia, B., & Skitmore, M. (2018). Impact of environment regulation on the efficiency of regional construction industry: A 3-stage Data Envelopment Analysis (DEA). Journal of Cleaner Production, 200, 770-780.
Zhao, Y., & Fan, B. (2018). Exploring open government data capacity of government agency: Based on the resource-based theory. Government Information Quarterly, 35(1), 1-12.
Zhou, G., Chung, W., & Zhang, Y. (2014). Measuring energy efficiency performance of China’s transport sector: A data envelopment analysis approach. Expert Systems with Applications, 41(2), 709-722.
Zhu, X., Chen, Y., & Feng, C. (2018). Green total factor productivity of China's mining and quarrying industry: A global data envelopment analysis. Resources Policy, 57, 1-9.
Zhu, Q., Wu, J., & Song, M. (2018). Efficiency evaluation based on data envelopment analysis in the big data context. Computers & Operations Research, 98, 291-300.