Literatur
Antonakis, J. (2012). Doctorial seminar: Structural Equation Modeling ans Advanced Regression.
Bagozzi, R. P. & Yi, Y. (1988). On the evaluation of strucutral equation models. Journal of Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
Bagozzi, R. P. & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40(1), 8–34. https://doi.org/10.1007/s11747-011-0278-x
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. https://doi.org/10.1037/0022-3514.51.6.1173
Baur, N. & Blasius, J. (2014). Handbuch Methoden der empirischen Sozialforschung. Wiesbaden: Springer VS. Verfügbar unter: https://link.springer.com/book/10.1007/978-3-531-18939-0
Berry, W. D., Golder, M. & Milton, D. (2012). Improving Tests of Theories Positing Interaction. The Journal of Politics, 74(03), 653–671. https://doi.org/doi:10.1017/S0022381612000199
Bollen, K. A. (1980). Issues in the Comparative Measurement of Political Democracy. American Sociological Review, 45(3), 370–390. https://doi.org/10.2307/2095172
Bollen, K. A. (1989). Structural Equations with Latent Variables. Book, New York: John Wiley; Sons Inc.
Bollen, K. A. & Pearl, J. (2013). Eight Myths About Causality and Structural Equation Models. In S.L. Morgan (Hrsg.), Handbook of Causal Analysis for Social Research (S. 301–328). New York: Springer. https://doi.org/10.1007/978-94-007-6094-3_15
Bortz, J. (1993). Statistik. Für Sozialwissenschaftler. Berlin, Heidelberg, New York, London, Paris, Tokyo, Hong Kong. Generic, Barcelona, Budapest. Springer-Lehrbuch.
Bouncken, R. B. & Fredrich, V. (2016). Business model innovation in alliances: Successful configurations. Journal of Business Research, 69(9), 3584–3590. https://doi.org/http://dx.doi.org/10.1016/j.jbusres.2016.01.004
Bouncken, R. B., Hughes, M., Ratzmann, M., Cesinger, B. & Pesch, R. (2020). Family Firms, Alliance Governance, and Mutual Knowledge. British Journal of Management, 31(4), 769–791. Journal Article,. https://doi.org/10.1111/1467-8551.12408
Bouncken, R. B., Pesch, R. & Reuschl, A. (2016). Copoiesis: Mutual knowledge creation in alliances. Journal of Innovation and Knowledge, 1(1), 44–50. https://doi.org/https://doi.org/10.1016/j.jik.2016.01.008
Bouncken, R., Ratzmann, M., Barwinski, R. & Kraus, S. (2020). Coworking spaces: Empowerment for entrepreneurship and innovation in the digital and sharing economy. Journal of Business Research, 114, 102–110. https://doi.org/https://doi.org/10.1016/j.jbusres.2020.03.033
Brambor, T., Clark, W. R. & Golder, M. (2006). Understanding interaction models: Improving empirical analyses. Political Analysis, 14(1), 63–82. https://doi.org/10.1093/pan/mpi014
Cannon, J. P., Achrol, R. S. & Gundlach, G. T. (2000). Contracts, norms, and plural form governance. Journal of the Academy of Marketing Science, 28(2), 180–194. https://doi.org/10.1177/0092070300282001
Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G.A. Marcoulides (Hrsg.), Modern methods for business research (S. 295–336). New Jersey: Lawrence Erlbaum.
Colbe, W. B. von & Laßmann, G. (1974). Einordnung der Betriebswirtschaftstheorie in das System der Wissenschaften. Betriebswirtschaftstheorie: Band 1: Grundlagen, Produktions- und Kostentheorie (S. 1–9). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-96234-9_1
Coote, L. V., Forrest, E. J. & Tam, T. W. (2003). An investigation into commitment in non-Western industrial marketing relationships. Industrial Marketing Management, 32(7), 595–604. https://doi.org/https://doi.org/10.1016/S0019-8501(03)00017-8
Cordery, J. L., Morrison, D., Wright, B. M. & Wall, T. D. (2010). The impact of autonomy and task uncertainty on team performance: A longitudinal field study. Journal of Organizational Behavior, 31(2-3), 240–258. https://doi.org/10.1002/job.657
Dawson, J. F. (2014). Moderation in Management Research: What, Why, When, and How. Journal of Business and Psychology, 29(1), 1–19. https://doi.org/10.1007/s10869-013-9308-7
Dawson, J. F. & Richter, A. W. (2006). Probing three-way interactions in moderated multiple regression: Development and application of a slope difference test. American Psychological Association. https://doi.org/10.1037/0021-9010.91.4.917
Dervieux, C. (2022). Authoring Books and Technical Documents with R Markdown. Verfügbar unter: https://github.com/rstudio/bookdown
Descartes, R. (1637). DISCOURS DE LA METHODE Pour bien conduire ſa raiſon, et chercher la verité dans les ſciences. Plus LA DIOPTRIQVE. LES METEORES. ET LA GEOMETRIE. De l’Imprimerie de Ian Maire. Verfügbar unter: https://archive.org/details/bub_gb_p6Uz87poRdIC/page/n1/mode/2up
Döring, N. & Bortz, J. (2016). Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften. Heidelberg: Springer. Verfügbar unter: https://link.springer.com/book/10.1007/978-3-642-41089-5
Dunn, T. J., Baguley, T. & Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105(3), 399–412. https://doi.org/https://doi.org/10.1111/bjop.12046
Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Gefen, D., Rigdon, E. E. & Straub, D. (2011). Editor’s Comments: An Update and Extension to SEM Guidelines for Administrative and Social Science Research. MIS Quarterly, 35(2), iii–xiv. https://doi.org/10.2307/23044042
Gefen, D., Straub, D. W. & Marie-Claude, B. (2000). Structural Equation Modeling Techniques and Regression: Guidelines for Research Practice. Communications of the Association for Information Systems (AIS), 4(7), 1–78.
Geiser, C. (2010). Lineare Strukturgleichungsmodelle. Datenanalyse mit Mplus - Eine anwendungsorientierte Einführung. Wiesbaden: VS Verlag für Sozialwissenschaften. Verfügbar unter: https://link.springer.com/chapter/10.1007/978-3-531-93192-0_3
Geiser, C. (2011). Datenanalyse mit Mplus: Eine anwendungsorientierte Einführung (2. Auflage). Wiesbaden: VS verlag für Sozialwissenschaften I Springer Fachmedien GmbH. Verfügbar unter: https://link.springer.com/book/10.1007/978-3-531-93192-0
Gulati, R. (1998). Alliances and networks. Strategic Management Journal, 19(4), 293–317.
Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2010). Multivariate data analysis (7. Auflage). Upper Saddle River, N.J.: Pearson.
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/0.1007/s11747-014-0403-8
Herrmann, T. (1996). Forschungsprogramme. In T. Herrmann & Tack (Hrsg.), Enzyklopädie der Psychologie – Methodologische Grundlagen der Psychologie - Teil C: Theorien und Forschungsprogramme. Göttingen: Hogrefe-Verlag.
Jap, S. D. & Ganesan, S. (2000). Control Mechanisms and the Relationship Life Cycle: Implications for Safeguarding Specific Investments and Developing Commitment. Journal of Marketing Research, XXXVII, 227–245.
Jensen, M. C. (2000). Theory of the Firm: Governance, Residual Claims and Organizational Forms (Preface and Introduction). Cambridge, Massachusetts, London, England: Harvard University Press. Verfügbar unter: https://sisis.rz.htw-berlin.de/inh2007/12355558.pdf
Jensen, M. C. & Meckling, W. H. (1976). Theory of the Firm: Managerial Behavior, Agency Costs and Ownership Structure. Journal of Financial Economics, 3(4), 305–360. https://doi.org/10.1016/0304-405X(76)90026-X
Jones, G. R. & Bouncken, R. B. (2008). Organisation - Theorie, Design und Wandel (5. Auflage). Book, München: Pearson Studium.
Jöreskog, K. G., Olsson, U. H. & Wallentin, F. Y. (2016). Structural Equation Models (SEM) with Latent Variables. Multivariate Analysis with LISREL (S. 341–378). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-33153-9_8
Kenny, D. A. (2004). Correlation and Causality. Book, New York, NY: John Wiley; Sons Inc.
Kenny, D. A. & Judd, C. M. (1984). Estimating the Nonlinear and Interactive Effects of Latent Variables. Psychological Bulletin, 96(1), 201–210. https://doi.org/10.1037/0033-2909.96.1.201
Little, T. D., Bovaird, J. A. & Widaman, K. F. (2006). On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions Among Latent Variables. Structural Equation Modeling, 14(4), 497–519. https://doi.org/10.1207/s15328007sem1304_1
Liu, Y., Li, Y. & Zhang, L. (2010). Control mechanisms across a buyer–supplier relationship quality matrix. Journal of Business Research, 63(1), 3–12. https://doi.org/10.1016/j.jbusres.2009.01.005
Marsh, H., Balla, J. & Mcdonald, R. (1988). Goodness-of-fit indexes in confirmatory factor analysis : The effect of sample size, 103, 391–410. https://doi.org/10.1037/0033-2909.103.3.391
Muthén, B. & Asparouhov, T. (2015). Causal effects in mediation modeling: An introduction with applications to latent variables. Structural Equation Modeling: A Multidisciplinary Journal, 22(1), 12–23. https://doi.org/10.1080/10705511.2014.935843
Nonaka, I., Byosiere, P., Borucki, C. C. & Konno, N. (1994). Organizational knowledge creation theory: A first comprehensive test. International Business Review, 3(4), 337–351. https://doi.org/10.1016/0969-5931(94)90027-2
Pearl, J. (2009). 6 - Simpson’s Paradox, Confounding, and Collapsibility. Causality (S. 173–200). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511803161.008
Pearl, J. (2015). Causes of Effects and Effects of Causes. Sociological Methods and Research, 44(1), 149–164. https://doi.org/10.1177/0049124114562614
Pearl, J. & Mackenzie, D. (2018). The Book of Why - The new science of cause and effect. New York: Basic Books.
R Core Team. (2021). R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. Verfügbar unter: https://www.R-project.org/
Raykov, T. (2001). Estimation of congeneric scale reliability using covariance structure analysis with nonlinear constraints. British Journal of Mathematical and Statistical Psychology, 54(2), 315–323. https://doi.org/10.1348/000711001159582
Raykov, T. (2004). Point and Interval Estimation of Reliability for Multiple-Component Measuring Instruments via Linear Constraint Covariance Structure Modeling. Structural Equation Modeling: A Multidisciplinary Journal, 11(3), 342–356. https://doi.org/10.1207/s15328007sem1103_3
Rönkkö, M. & Cho, E. (2020). An Updated Guideline for Assessing Discriminant Validity. Organizational Research Methods, 0(0), 1–42. https://doi.org/10.1177/1094428120968614
Rosseel, Y. (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1–36.
Sanchez, G. (2013). PLS Path Modeling with R. Berkeley: Trowchez Editions.
Schnell, R., Hill, P. B. & Esser, E. (2008). Methoden der empirischen Sozialforschung (8. Auflage.). München: Oldenbourg Verlag.
Tabachnick, B. G. & Fidell, L. S. (2007). Using Multivariate Statistics (5. Auflage). Boston, New York, San Francisco: Pearson Education.
Theresa Hoffmann, C. K. & Mayer, A. (2022). lavaanGUI Tutorial. Verfügbar unter: http://lavaantutorial.rwth-aachen.de/Grundlagen.html#Fixierung
Westermann, R. (2000). Wissenschaftstheorie und Experimentalmethodik: ein Lehrbuch zur psychologischen Methodenlehre. Hogrefe, Verlag für Psychologie. Verfügbar unter: https://books.google.de/books?id=TMzpAAAACAAJ
Williamson, O. E. (1985). The economic institutions of capitalism: Firms, Markets, Relational Contracting. New York: Free Press.
Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20(3), 557–585. Journal Article,.
Xie, Y. (2016). bookdown: Authoring Books and Technical Documents with R Markdown. Boca Raton, Florida: Chapman; Hall/CRC. Verfügbar unter: https://bookdown.org/yihui/bookdown
Xie, Y. (2021). bookdown: Authoring Books and Technical Documents with R Markdown. Verfügbar unter: https://CRAN.R-project.org/package=bookdown