Advancing visitor research uptake in policy and practice: a structural equation model

References

• Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723. https://doi.org/10.1109/TAC.1974.1100705
   Web of Science ®Google Scholar
• Amara, N., Ouimet, M., & Landry, R. (2004). New evidence on instrumental, conceptual, and symbolic utilization of university research in government agencies. Science Communication, 26(1), 75–106. https://doi.org/10.1177/1075547004267491
   Web of Science ®Google Scholar
• Anderson, C., Ciarlo, J. A., & Brodie, S. (1981). Measuring evaluation-induced change in mental health programs. In J. A. Ciarlo (Ed.), Utilizing evaluation: Concepts and measurement techniques (pp. 97–124). Sage Publications.
   Google Scholar
• Arnott, J. C., Neuenfeldt, R. J., & Lemos, M. C. (2020). Co-producing science for sustainability: Can funding change knowledge use? Global Environmental Change, 60, Article no. 101979. https://doi.org/10.1016/j.gloenvcha.2019.101979
   Google Scholar
• Belkhodja, O., Amara, N., Landry, R., & Ouimet, M. (2007). The extent and organisational determinants of research utilisation in Canadian health services organisations. Science Communication, 28(3), 377–417. https://doi.org/10.1177/1075547006298486
   Web of Science ®Google Scholar
• Bentler, P. M. (1989). EQS, structural equations. Program manual [Program version 3.0] (p. 6). BMDP Statistical Software.
   Google Scholar
• Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037/0033-2909.88.3.588
   Web of Science ®Google Scholar
• Benton, T. (2015). An empirical assessment of Guttman’s lambda 4 reliability coefficient. In R. E. Millsap, D. M. Bolt, L. A. Van der Ark, & W. C. Wang (Eds.), Quantitative psychology research: The 78th Annual meeting of the psychometric society (pp. 301–310). Springer.
   Google Scholar
• Blahna, D. J., Kline, J. D., Williams, D. R., Rogers, K., Miller, A. B., McCool, S. F., & Valenzuela, F. (2020). Integrating social, ecological, and economic factors in sustainable recreation planning and decisionmaking. In S. Selin, L. K. Cerveny, D. J. Blahna, & A. B. Miller (Eds.), Igniting research for outdoor recreation: Linking science, policy, and action (pp. 173–188). US Department of Agriculture, Forest Service.
   Google Scholar
• Bolarinwa, O. A. (2015). Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Nigerian Postgraduate Medical Journal, 22(4), 195–201. https://doi.org/10.4103/1117-1936.173959
   PubMedGoogle Scholar
• Booth, K. (2006). Review of visitor research for the department of conservation: DOC research and development series 229. New Zealand Department of Conservation.
   Google Scholar
• Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen, & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Sage.
   Google Scholar
• Buckley, R., Robinson, J., Carmody, J. & King, N. (2008). Monitoring for management of conservation and recreation in Australian protected areas. Biodiversity and Conservation, 17(14), 3589-3606. https://doi.org/10.1007/s10531-008-9448-7
   Web of Science ®Google Scholar
• Camisón, C., & Forés, B. (2010). Knowledge absorptive capacity: New insights for its conceptualisation and measurement. Journal of Business Research, 63(7), 707–715. https://doi.org/10.1016/j.jbusres.2009.04.022
   Web of Science ®Google Scholar
• Caplan, N. (1979). The Two-communities theory and knowledge utilization. American Behavioral Scientist, 22(3), 459–470. https://doi.org/10.1177/000276427902200308
   Web of Science ®Google Scholar
• Chambers, D. (2018). Tourism research: Beyond the imitation game. Tourism Management Perspectives, 25, 193–195. https://doi.org/10.1016/j.tmp.2017.11.010
   Web of Science ®Google Scholar
• Cherney, A., Head, B., Boreham, P., Povey, J., & Ferguson, M. (2012). Perspectives of academic social scientists on knowledge transfer and research collaborations. Evidence and Policy, 8(4), 433–453. https://doi.org/10.1332/174426412X660098
   Web of Science ®Google Scholar
• Cherney, A., Head, B., Boreham, P., Povey, J., & Ferguson, M. (2013). Research utilisation in the social sciences: A comparison of five academic disciplines in Australia. Science Communication, 35(6), 780–809. https://doi.org/10.1177/1075547013491398
   Web of Science ®Google Scholar
• Cherney, A., & McGee, T. R. (2011). Utilisation of social science research: Results of a pilot study among Australian sociologists and criminologists. Journal of Sociology, 47(2), 144–162. https://doi.org/10.1177/1440783310386831
   Web of Science ®Google Scholar
• Cherney, A., Povey, J., Head, B., Boreham, P., & Ferguson, M. (2012). What influences the utilisation of educational research by policy-makers and practitioners?: The perspectives of academic educational researchers. International Journal of Educational Research, 56, 23–34. https://doi.org/10.1016/j.ijer.2012.08.001
   Google Scholar
• Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. https://doi.org/10.2307/2393553
   Web of Science ®Google Scholar
• Cooper, C., Ruhanen, L., & Scott, N. (2015). Knowledge management in tourism: Are the stakeholders research-averse? In T. V. Singh (Ed.), Challenges in tourism research (pp. 309–337). Channel View.
   Google Scholar
• Crona, B. I., & Parker, J. N. (2011). Network determinants of knowledge utilization: Preliminary lessons from a boundary organization. Science Communication, 33(4), 448–471. https://doi.org/10.1177/1075547011408116
   Web of Science ®Google Scholar
• Darcy, S., Griffin, T., Craig, M., Moore, S., & Crilley, G. (2007, February 11–14). Protected area visitor data collection and management: Emerging issues and gaps in current Australian practices [Paper presentation]. CAUTHE 2007: Tourism-Past Achievements, Future Challenges, Manly, Australia.
   Google Scholar
• Davies, H., Nutley, S., & Walter, I. (2008). Why ‘knowledge transfer’ is misconceived for applied social research. Journal of Health Services Research & Policy, 13(3), 188–190. https://doi.org/10.1258/jhsrp.2008.008055
   PubMed Web of Science ®Google Scholar
• de Goede, J., van Bon-Martens, M. J. H., Putters, K., & van Oers, H. A. M. (2012). Looking for interaction: Quantitative measurement of research utilisation by Dutch local health officials. Health Research Policy and Systems, 10(1), 1–12. https://doi.org/10.1186/1478-4505-10-9
   PubMedGoogle Scholar
• Dunn, W. N. (1980). The two-communities metaphor and models of knowledge use: An exploratory case survey. Knowledge, 1(4), 515–536. https://doi.org/10.1177/107554708000100403
   Google Scholar
• Eagles, P. F. J. (2002). Tourism-use measurement and reporting in parks and protected areas. Parks, 12(1), 3–10.
   Google Scholar
• Estabrooks, C. A., Squires, J. E., Strandberg, E., Nilsson-Kajermo, K., Scott, S. D., Profetto-McGrath, J., Harley, D., & Wallin, L. (2011). Towards better measures of research utilisation: A collaborative study in Canada and Sweden. Journal of Advanced Nursing, 67(8), 1705–1718. https://doi.org/10.1111/j.1365-2648.2011.05610.x
   PubMed Web of Science ®Google Scholar
• Farrell, T. A., & Marion, J. L. (2002). The protected area visitor impact management (PAVIM) framework: A simplified process for making management decisions. Journal of Sustainable Tourism, 10(1), 31–51. https://doi.org/10.1080/09669580208667151
   Google Scholar
• Field, A. (2009). Discovering statistics using SPSS. SAGE Publications.
   Google Scholar
• Griffin, T., Moore, S., Darcy, S., & Crilley, G. (2008, October 14–19). Developing a national approach to visitor data collection, management and use for protected areas: Thoughts from Australian research and practice [Paper presentation]. Fourth International Conference on Monitoring and Management of Visitor Flows in Recreational and Protected Areas: Management for Protection and Sustainable Development, Montecatini Terme, Tuscany, Italy.
   Google Scholar
• Hair, J. F., Black, W. C., Babin, B., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson Prentice Hall.
   Google Scholar
• Hair, J. F., Ringle, C. M., & Sarstedt, M. (2012). Partial least squares: The better approach to structural equation modeling? Long Range Planning, 45(5-6), 312–319. https://doi.org/10.1016/j.lrp.2012.09.011
   Web of Science ®Google Scholar
• Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(2), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
   Google Scholar
• Hall, G. E., Loucks, S. F., Rutherford, W. L., & Newlove, B. W. (1975). Levels of use of the innovation: A framework for analysing innovation adoption. Journal of Teacher Education, 26(1), 52–56. https://doi.org/10.1177/002248717502600114
   Web of Science ®Google Scholar
• Heinsch, M., Gray, M., & Sharland, E. (2016). Re-conceptualising the link between research and practice in social work: A literature review on knowledge utilisation. International Journal of Social Welfare, 25(1), 98–104. https://doi.org/10.1111/ijsw.12164
   Web of Science ®Google Scholar
• Hemsley-Brown, J. (2004). Facilitating research utilisation: A cross-sector review of research evidence. International Journal of Public Sector Management, 17(6), 534–552. https://doi.org/10.1108/09513550410554805
   Google Scholar
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
   Web of Science ®Google Scholar
• Hjalager, A. M. (2002). Repairing innovation defectiveness in tourism. Tourism Management, 23(5), 465–474. https://doi.org/10.1016/S0261-5177(02)00013-4
   Web of Science ®Google Scholar
• Hockings, M., Dudley, N., Elliot, W., Ferreira, M. N., MacKinnon, K., Pasha, M. K. S., Phillips, A., Stolton, S., Woodley, S., Appleton, M., Chassot, O., Fitzsimons, J., Galliers, C., Kroner, R. G., Goodrich, J., Hopkins, J., Jackson, W., Jonas, H., Long, B., … Yang, A. (2020). Editorial essay: COVID-19 and protected and conserved areas. Parks, 26(1), 7–24. https://doi.org/10.2305/IUCN.CH.2020.PARKS-26-1MH.en
   Google Scholar
• Hooper, D., Coughlan, J., & Mullen, M. (2008, June 19-20). Evaluating model Fit: A synthesis of the structural equation modelling literature. In A. Brown (Ed.), Proceedings of the 7th European Conference on research methodology for Business and management studies (pp. 195–200). Academic Conferences and Publishing Limited.
   Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: a Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• Huberman, M., & Thurler, G. (1991). De la recherche à la pratique: Éléments de base [From the research to the practice: elements of base]. Peter Lang.
   Google Scholar
• Hudson, S. (2013). Knowledge exchange: A destination perspective. Journal of Destination Marketing & Management, 2(3), 129–131. https://doi.org/10.1016/j.jdmm.2013.08.002
   Web of Science ®Google Scholar
• Ion, G., Stîngu, M., & Marin, E. (2019). How can researchers facilitate the utilisation of research by policy-makers and practitioners in education? Research Papers in Education, 34(4), 483–498. https://doi.org/10.1080/02671522.2018.1452965
   Web of Science ®Google Scholar
• Kline, R. B. (2015). Principles and practice of structural equation modelling. Guilford publications.
   Google Scholar
• Knott, J., & Wildavsky, A. (1980). If dissemination is the solution, what is the problem? Knowledge, 1(4), 537–578. https://doi.org/10.1177/107554708000100404
   Google Scholar
• Landry, R., Amara, N., & Lamari, M. (2001). Utilisation of social science research knowledge in Canada. Research Policy, 30(2), 333–349. https://doi.org/10.1016/S0048-7333(00)00081-0
   Web of Science ®Google Scholar
• Landry, R., Lamari, M., & Amara, N. (2003). The extent and determinants of the utilisation of University research in government agencies. Public Administration Review, 63(2), 192–205. https://doi.org/10.1111/1540-6210.00279
   Web of Science ®Google Scholar
• Larsen, J. K. (1981). Knowledge utilisation: Current issues. In R. F. Rich (Ed.), The knowledge cycle (pp. 149–168). Sage.
   Google Scholar
• Lei, P. W., & Wu, Q. (2007). Introduction to structural equation modeling: Issues and practical considerations. Educational Measurement: Issues and Practice, 26(3), 33–43. https://doi.org/10.1111/j.1745-3992.2007.00099.x
   Google Scholar
• Lovelock, B., Farminer, A., Reis, A. C., & New Zealand Department of Conservation (2011). A synthesis and gap analysis of research on visitors to public conservation areas in Australia, 1995–2010. Department of Conservation.
   Google Scholar
• Mair, J., Merton, E., & Smith, L. (2014, February 10–13). Research into policy and knowledge co-generation in tourism [Paper presentation]. CAUTHE 2014: Tourism and Hospitality in the Contemporary World: Trends, Changes and Complexity, Brisbane, Australia.
   Google Scholar
• Manning, R. E. (2011). Studies in outdoor recreation: Search and research for satisfaction. Oregon State University Press.
   Google Scholar
• Manning, R. E., Anderson, L. E., & Pettengill, P. (2017). Managing outdoor recreation: Case studies in the national parks. CABI.
   Google Scholar
• Marion, J. L. (2016). A review and synthesis of recreation Ecology research supporting carrying capacity and visitor Use management decisionmaking. Journal of Forestry, 114(3), 339–351. https://doi.org/10.5849/jof.15-062
   Web of Science ®Google Scholar
• McCool, S. F. (2006). Managing for visitor experiences in protected areas: Promising opportunities and fundamental challenges. Parks: The International Journal for Protected Areas Managers, 16(2), 3–9.
   Google Scholar
• McCool, S. F. (2012). Potential roles of research in enhancing the performance of management in securing high quality visitor experiences in wilderness. In D. N. Cole (Ed.), Wilderness visitor experiences: Progress in research and management (pp. 179–187). U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station.
   Google Scholar
• McCool, S. F., & Khumalo, K. E. (2015). Empowering managers: Enhancing the performance of protected area tourism managers in the twenty-first century. Tourism Recreation Research, 40(2), 169–180. https://doi.org/10.1080/02508281.2015.1039333
   Web of Science ®Google Scholar
• McCool, S. F., & Stankey, G. H. (2003, April 14–18). Advancing the dialogue of visitor management: Expanding beyond the culture of technical control [Paper presentation]. George Wright Society Biennial Conference, San Diego, California.
   Google Scholar
• McCulloch, S. (2016). Absorptive capacity for responding to environmental change: An assessment of three public-sector agencies [Unpublished Master’s dissertation]. Nelson Mandela University, George.
   Google Scholar
• Menon, A., & Wilcox, J. (1994). USER: A scale to measure use of market research. Technical Working Paper No 94. Marketing Science Institute.
   Google Scholar
• Mikulić, J. (2018). Towards an end of measurement misspecification in tourism research: Grammar of theoretical constructs, focus of thought and mind traps. Tourism Management, 68, 444–449. https://doi.org/10.1016/j.tourman.2018.04.010
   Web of Science ®Google Scholar
• Mikulić, J., & Ryan, C. (2018). Reflective versus formative confusion in SEM based tourism research: A critical comment. Tourism Management, 68, 465–469. https://doi.org/10.1016/j.tourman.2018.05.002
   Web of Science ®Google Scholar
• Moore, S., & Hockings, M. (2013). Australian protected areas and adaptive management: Contributions by visitor planning frameworks and management effectiveness assessments. Australasian Journal of Environmental Management, 20(4), 270–284. https://doi.org/10.1080/14486563.2013.833487
   Web of Science ®Google Scholar
• Murray, K., Roux, D. J., Nel, J. L., Driver, A., & Freimund, W. (2011). Absorptive capacity as a guiding concept for effective public sector management and conservation of freshwater ecosystems. Environmental Management, 47(5), 917–925. https://doi.org/10.1007/s00267-011-9659-7
   PubMed Web of Science ®Google Scholar
• Newman, J., & Head, B. (2015). Beyond the two communities: A reply to mead’s “why government often ignores research”. Policy Sciences, 48(3), 383–393. https://doi.org/10.1007/s11077-015-9226-9
   Web of Science ®Google Scholar
• Newsome, D., Moore, S. A., & Dowling, R. K. (2013). Natural area tourism: Ecology, impacts, and management. Channel View Publications.
   Google Scholar
• Nunkoo, R., Ramkissoon, H., & Gursoy, D. (2013). Use of structural equation modeling in tourism research: Past, present, and future. Journal of Travel Research, 52(6), 759–771. https://doi.org/10.1177/0047287513478503
   Web of Science ®Google Scholar
• Nusair, K., & Hua, N. (2010). Comparative assessment of structural equation modelling and multiple regression research methodologies: E-commerce context. Tourism Management, 31(3), 314–324. https://doi.org/10.1016/j.tourman.2009.03.010
   Web of Science ®Google Scholar
• Oh, C. H. (1997). Issues for the new thinking of knowledge utilization: Introductory remarks. Knowledge and Policy, 10(3), 3–10. https://doi.org/10.1007/BF02912503
   Google Scholar
• Olszewski, M. (2015). The determinants of knowledge transfer from universities to tourism companies–a conceptual model and research propositions. European Journal of Service Management, 16(2), 111–118. https://doi.org/10.18276/smt.2015.16-11
   Google Scholar
• Olszewski, M., & Bednarska, M. A. (2016, June 26–30). Why don’t tourism firms use academic knowledge for innovation? A conceptual framework [Paper presentation]. EATSA Conference: A Pathway for the New Generation of Tourism Research, Portugal.
   Google Scholar
• Ottoson, J. M. (2009). Knowledge-for-action theories in evaluation: Knowledge utilization, diffusion, implementation, transfer, and translation. New Directions for Evaluation, 2009(124), 7–20. https://doi.org/10.1002/ev.310
   Google Scholar
• Ouimet, M., Landry, R., Ziam, S., & Bédard, P. O. (2009). The absorption of research knowledge by public civil servants. Evidence & Policy: A Journal of Research, Debate and Practice, 5(4), 331–350. https://doi.org/10.1332/174426409X478734
   Google Scholar
• Pallant, J. (2016). SPSS survival manual A step by step guide to data analysis using SPSS program (6th ed.). McGraw-Hill Education.
   Google Scholar
• Pyo, S. (2012). Identifying and prioritising destination knowledge needs. Annals of Tourism Research, 39(2), 1156–1175. https://doi.org/10.1016/j.annals.2011.12.009
   Web of Science ®Google Scholar
• Reed, M. S., Stringer, L. C., Fazey, I., Evely, A. C., & Kruijsen, J. H. (2014). Five principles for the practice of knowledge exchange in environmental management. Journal of Environmental Management, 146, 337–345. https://doi.org/10.1016/j.jenvman.2014.07.021
   PubMed Web of Science ®Google Scholar
• Rich, R. F. (1997). Measuring knowledge utilization: Processes and outcomes. Knowledge and Policy, 10(3), 11–24. https://doi.org/10.1007/BF02912504
   Google Scholar
• Ritchie, R. J., & Ritchie, J. B. (2002). A framework for an industry supported destination marketing information system. Tourism Management, 23(5), 439–454. https://doi.org/10.1016/S0261-5177(02)00007-9
   Web of Science ®Google Scholar
• Rosenberg, N., & Nathan, R. (1982). Inside the black box: Technology and economics. Cambridge University Press.
   Google Scholar
• Roux, D. J., Kingsford, R. T., Cook, C. N., Carruthers, J., Dickson, K., & Hockings, M. (2019). The case for embedding researchers in conservation agencies. Conservation Biology, 33(6), 1266–1274. https://doi.org/10.1111/cobi.13324
   PubMed Web of Science ®Google Scholar
• Roux, D. J., Rogers, K. H., Biggs, H. C., Ashton, P. J., & Sergeant, A. (2006). Bridging the science-management divide moving from unidirectional knowledge transfer to knowledge interfacing and sharing. Ecology and Society, 11(1).
   Web of Science ®Google Scholar
• Stone, M. (1979). Comments on model selection criteria of Akaike and Schwarz. Journal of the Royal Statistical Society. Series B (Methodological), 41(2), 276–278. https://doi.org/10.1111/j.2517-6161.1979.tb01084.x
   Google Scholar
• Suhr, D. (2006, March 29). Exploratory or confirmatory factor analysis? [Paper presentation]. Thirty-first Annual SAS Users Group International Conference, Cary, NC, United States.
   Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (2007). Using Multivariate statistics (5th ed.). Pearson Education.
   Google Scholar
• Tanriverdi, H., & Venkatraman, N. (2005). Knowledge relatedness and the performance of multibusiness firms. Strategic Management Journal, 26(2), 97–119. https://doi.org/10.1002/smj.435
   Web of Science ®Google Scholar
• Thomas, R. (2012). Business elites, universities and knowledge transfer in tourism. Tourism Management, 33(3), 553–561. https://doi.org/10.1016/j.tourman.2011.06.009
   Web of Science ®Google Scholar
• Turner, S. (2013). Absorptive capacity: The role of communities of practice. Working Paper No.444. University of Cambridge.
   Google Scholar
• van der Arend, J. (2014). Bridging the research/policy gap: Policy officials’ perspectives on the barriers and facilitators to effective links between academic and policy worlds. Policy Studies, 35(6), 611–630. https://doi.org/10.1080/01442872.2014.971731
   Web of Science ®Google Scholar
• Voorhees, C. M., Brady, M. K., Calantone, R., & Ramirez, E. (2016). Discriminant validity testing in marketing: An analysis, causes for concern, and proposed remedies. Journal of the Academy of Marketing Science, 44(1), 119–134. https://doi.org/10.1007/s11747-015-0455-4
   Web of Science ®Google Scholar
• Wardell, M. J., & Moore, S. A. (2004). Collection, storage and application of visitor use data in protected areas: Guiding principles and case studies. CRC for Sustainable Tourism Pty.
   Google Scholar
• Weaver, D. B., & Lawton, L. J. (2017). A new visitation paradigm for protected areas. Tourism Management, 60, 140–146. https://doi.org/10.1016/j.tourman.2016.11.018
   Web of Science ®Google Scholar
• Westland, J. C. (2010). Lower bounds on sample size in structural equation modeling. Electronic Commerce Research and Applications, 9(6), 476–487. https://doi.org/10.1016/j.elerap.2010.07.003
   Web of Science ®Google Scholar
• Xiao, H., & Smith, S. L. J. (2007). The use of tourism knowledge: Research propositions. Annals of Tourism Research, 34(2), 310–331. https://doi.org/10.1016/j.annals.2006.09.001
   Web of Science ®Google Scholar
• Yin, R. K., & Moore, G. B. (1988). Lessons on the utilization of research from nine case experiences in the natural hazards field. Knowledge in Society, 1(3), 25–44. https://doi.org/10.1007/BF02736981
   Google Scholar
• Zahra, S. A., & George, G. (2002). Absorptive capacity: A review. Reconceptualisation, and Extension. The Academy of Management Review, 27(2), 185–203. https://doi.org/10.5465/amr.2002.6587995
   Web of Science ®Google Scholar