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THE APPLICATION OF SEM IN STUDIES TO MEASURE EXPORT PERFORMANCE OF FIRMS: A ROAD MAP

Year 2024, Issue: 6, 53 - 71, 31.10.2024

Murat Öztürk

https://doi.org/10.62080/kmfed.1544522

Abstract

Export performance is a subject that has quite complex relationships by nature. For this reason, it is analysed with the SEM method, which is gaining more and more fame in the research world regarding complex relationships. With this research, the use of SEM in the export performance studies in question was examined based on literature and different applications and views were brought together to create a basic roadmap. In this context, 76 different SEM and export performance-based scientific studies were examined and evaluated from a critical perspective and application maps were created. Afterwards, an ideal and basic application template and roadmap were presented with current suggestions for studies including export performance that want to use SEM in the future.

Keywords

Export Performance Structural Equation Modeling (SEM) Export

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FİRMALARIN İHRACAT PERFORMANSINI ÖLÇMEK İÇİN YAPILAN ÇALIŞMALARDA YEM'İN UYGULANMASI: BİR YOL HARİTASI

Year 2024, Issue: 6, 53 - 71, 31.10.2024

Murat Öztürk

https://doi.org/10.62080/kmfed.1544522

Abstract

İhracat performansı doğası gereği oldukça karmaşık ilişkilere sahip bir konudur. Bu nedenle, karmaşık ilişkiler açısından araştırma dünyasında giderek daha fazla ün kazanan YEM yöntemi ile analiz edilmeye devam edilmektedir. Bu araştırma ile söz konusu ihracat performansı çalışmalarında YEM kullanımı literatüre dayalı olarak incelenmiş ve temel bir yol haritası oluşturmak için farklı uygulamalar ve görüşler bir araya getirilmiştir. Bu bağlamda, 76 farklı YEM ve ihracat performansına dayalı bilimsel çalışma eleştirel bir bakış açısıyla incelenmiş ve değerlendirilmiş ve uygulama temelli yol haritaları keşfedilmiştir. Daha sonra, gelecekte YEM kullanmak isteyen ihracat performansını içeren çalışmalar için güncel önerilerle ideal ve temel bir uygulama şablonu ve yol haritası sunulmuştur.

Keywords

İhracat Performansı Yapısal Eşitlik Modeli (YEM) İhracat

References

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  • Baron, R. M., & Kenny, D. A. (1986). “The Moderator–Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations”. Journal of Personality and Social Psychology, 51(6): 1173–1182.
  • Barrett, P. (2000). “Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis”. Personality and Individual Differences, 29(5): 999–1000.
  • Beamish, P. W., Craig, R., & Mclellan, K. (1993). “The Performance Characteristics of Canadian versus U.K. Exporters in Small and Medium Sized Firms”. MIR: Management International Review, 33(2): 121–137.
  • Beleska-Spasova, E. (2014). “Determinants and Measures of Export Performance - Comprehensive Literature Review”. JCEBI, 1(1): 63–74.
  • Bentler, P. M. (2005). EQS 6 Structural Equations Program Manual. Multivariate Software.
  • Bonett, D. G., & Wright, T. A. (2015). “Cronbach’s Alpha Reliability: Interval Estimation, Hypothesis Testing, And Sample Size Planning”. Journal of Organizational Behavior, 36(1): 3–15.
  • Browne, M. W., & Cudeck, R. (1989). “Single Sample Cross-Validation Indices For Covariance Structures”. Multivariate Behavioral Research, 24(4): 445–455.
  • Byrne, B. M. (1994). “Testing for the Factorial Validity, Replication, And Invariance Of A Measuring Instrument: A Paradigmatic Application Based On The Maslach Burnout Inventory”. Multivariate Behavioral Research, 29(3): 289–311.
  • Byrne, B. M. (2016). Structural Equation Modeling With AMOS (3rd Ed.). Routledge. Https://Doi.Org/10.4324/9781315757421
  • Cavusgil, S. T., & Zou, S. (1994). “Marketing Strategy-Performance Relationship: An Investigation of the Empirical Link in Export Market Ventures”. Source: Journal of Marketing, 58(1): 1–21.
  • Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2023). “Reporting Reliability, Convergent And Discriminant Validity With Structural Equation Modeling: A Review And Best-Practice Recommendations”. Asia Pacific Journal of Management. Https://Doi.Org/10.1007/S10490-023-09871-Y
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2010). Sosyal Bilimler Için Çok Değişkenli Istatistik SPSS Ve LISREL Uygulamaları [Multivariate Statistics for Social Sciences: SPSS and LISREL Applications]. Pegem Akademi.
  • Curran, P. J., West, S. G., & Finch, J. F. (1996). “The Robustness of Test Statistics to Nonnormality and Specification Error in Confirmatory Factor Analysis”. Psychological Methods, 1(1): 16–29.
  • Drost, E. A. (2011). Validity and Reliability in Social Science Research. Education Research and Perspectives, 38(1): 105–123.
  • Fabrigar, L. R., Wegener, D. T., Maccallum, R. C., & Strahan, E. J. (1999). “Evaluating The Use Of Exploratory Factor Analysis In Psychological Research”. Psychological Methods, 4(3): 272–299.
  • Fan, X., & Sivo, S. A. (2007). “Sensitivity of Fit Indices To Model Misspecification And Model Types”. Multivariate Behavioral Research, 42(3): 509–529.
  • Fan, Y., Chen, J., Shirkey, G., John, R., Wu, S. R., Park, H., & Shao, C. (2016). “Applications Of Structural Equation Modeling (SEM) In Ecological Studies: An Updated Review”. Ecological Processes, 5(1): 19.
  • Finney, S. J., & Distefano, C. (2006). Nonnormal And Categorical Data In Structural Equation Models. In G. R. Hancock & R. O. Mueller (Eds.): A Second Course In Structural Equation Modeling (Pp. 269–314). Information Age.
  • Fornell, C., & Larcker, D. F. (1981). “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error”. Journal of Marketing Research, 18(1): 39. Https://Doi.Org/10.2307/3151312
  • Frost, J. (2022). Cronbach’s Alpha: Definition, Calculations & Example.
  • Gallagher, M. W., & Brown, T. A. (2013). Introduction to Confirmatory Factor Analysis and Structural Equation Modeling. In Handbook of Quantitative Methods for Educational Research (Pp. 289–314). Sense Publis. Https://Doi.Org/10.1007/978-94-6209-404-8_14
  • George, D., & Mallery, P. (2018). IBM SPSS Statistics 25 Step By Step (15th Ed.). Routledge. Https://Doi.Org/10.4324/9781351033909
  • Golafshani, N. (2015). Understanding Reliability and Validity in Qualitative Research. The Qualitative Report. Https://Doi.Org/10.46743/2160-3715/2003.1870
  • Grewal, R., Cote, J. A., & Baumgartner, H. (2004). Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing. Marketing Science, 23(4): 519–529. Https://Doi.Org/10.1287/Mksc.1040.0070
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2013). Multivariate Data Analysis (8th Ed.). Pearson Education Limited.
  • Harrington, D. (2008). Confirmatory Factor Analysis. Oxford University Press. Https://Doi.Org/10.1093/Acprof:Oso/9780195339888.001.0001
  • Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural Equation Modelling: Guidelines for Determining Model Fit. The Electronic Journal of Business Research Methods, 6(2): 53–60.
  • Hu, L., & 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.
  • Iacobucci, D. (2010). Structural Equations Modeling: Fit Indices, Sample Size, And Advanced Topics. Journal of Consumer Psychology, 20(1): 90–98. Https://Doi.Org/10.1016/J.Jcps.2009.09.003
  • Jöreskog, K. G. (1969). A General Approach to Confirmatory Maximum Likelihood Factor Analysis. Psychometrika, 34(2): 183–202. Https://Doi.Org/10.1007/BF02289343
  • Jöreskog, K. G., Olsson, U. H., & Wallentin, F. Y. (2016). Multivariate Analysis with LISREL. Springer.
  • Joreskog, K. G., & Sorbom, D. (1984). Advances in Factor Analysis and Structural Equation Models. Rowman & Littlefield Publishers.
  • Katipamula, S., Reddy, T. A., & Claridge, D. E. (1998). Multivariate Regression Modeling. Journal of Solar Energy Engineering, 120(3): 177–184. Https://Doi.Org/10.1115/1.2888067
  • Kellar, S. P., & Kelvin, E. (2012). Munro’s Statistical Methods for Health Care Research (6th Ed.). Wolters Kluwer. Kelloway, K. E. (1998). Using LISREL For Structural Equation Modeling: A Researcher’s Guide. Sage Publications. Khatun, N. (2021). Applications of Normality Test in Statistical Analysis. Open Journal of Statistics, 11(01): 113–122. Https://Doi.Org/10.4236/Ojs.2021.111006
  • Kline, R. (2023). Principles and Practice of Structural Equation Modeling (5th Ed.). Guilford Press.
  • Kyriazos, T. A. (2018). Applied Psychometrics: Sample Size And Sample Power Considerations In Factor Analysis (EFA, CFA) And SEM In General. Psychology, 09(08): 2207–2230. Https://Doi.Org/10.4236/Psych.2018.98126
  • Lages, L. F., Silva, G., Styles, C., & Pereira, Z. L. (2009). The NEP Scale: A Measure of Network Export Performance. International Business Review, 18(4): 344–356. Https://Doi.Org/10.1016/J.Ibusrev.2009.04.002
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Details

Primary Language English
Subjects Finance and Investment (Other)
Journal Section Research Articles
Authors

Murat Öztürk 0000-0002-5983-331X

Early Pub Date October 31, 2024
Publication Date October 31, 2024
Submission Date September 6, 2024
Acceptance Date October 3, 2024
Published in Issue Year 2024 Issue: 6

Cite

APA Öztürk, M. (2024). THE APPLICATION OF SEM IN STUDIES TO MEASURE EXPORT PERFORMANCE OF FIRMS: A ROAD MAP. Kapanaltı Dergisi(6), 53-71. https://doi.org/10.62080/kmfed.1544522
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