How to cite this paper
Al-Zwainy, F & Al-Marsomi, M. (2023). Structural equation modeling of critical success factors in the programs of development regional.Journal of Project Management, 8(2), 119-132.
Refrences
Ab Hamid, M. R., Sami, W., & Sidek, M. M. (2017, September). Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion. In Journal of Physics: Conference Series (Vol. 890, No. 1, p. 012163). IOP Publishing.
Abusafiya, H. A., & Suliman, S. M. (2017). Causes and effects of cost overrun on construction project in Bahrain: Part I (ranking of cost overrun factors and risk mapping). Modern Applied Science, 11(7), 20.
Aibinu, A. A., & Al-Lawati, A. M. (2010). Using PLS-SEM technique to model construction organizations' willingness to participate in e-bidding. Automation in construction, 19(6), 714-724.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Routledge.
Dominic, T., & Theuvsen, L. (2015). The impact of external and internal factors on strategic management practices of agribusiness firms in Tanzania (No. 858-2016-60295).
Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.
Fornell, C., Cha, J., & Bagozzi, R. P. (1994). Advanced methods of marketing research. Cambridge, MA: Blackwell Business. Journal of Organizational Behavior, 26(4), 331-362.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guide-lines. Industrial management & data systems., 116(1).
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.
Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic journal of business research methods, 6(1), pp53-60.
Memon, A. H., & Rahman, I. A. (2014). SEM-PLS analysis of inhibiting factors of cost performance for large construc-tion projects in Malaysia: perspective of clients and consultants. The Scientific World Journal, 2014.
Mohamad, M. M., Sulaiman, N. L., Sern, L. C., & Salleh, K. M. (2015). Measuring the validity and reliability of re-search instruments. Procedia-Social and Behavioral Sciences, 204, 164-171.
Nagapan, S. (2014). Structural Modelling of Cause and Effect Factors of Conrtsuction Waste Generation in Malaysian Construction Industry (Doctoral dissertation, Universiti Tun Hussein Onn Malaysia).
Nitzl, C., & Chin, W. W. (2017). The case of partial least squares (PLS) path modeling in managerial accounting re-search. Journal of Management Control, 28(2), 137-156.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Handbook of market research (pp. 587-632). Cham: Springer International Publishing.
Schumacker, E., & Lomax, G. (2016). A Beginner’s Guide to Structural Equation Modelling. 4th ed.
Suleiman, S., & Abdulkadir, Y. (2022). Partial Least Square Structural Equation Modelling (PLS-SEM) of Patient Satis-faction on Service Quality in Katsina Public Hospitals. Asian Journal of Probability and Statistics, 17(3), 49-60.
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational statistics & data analysis, 48(1), 159-205.
Vinzi, V. E., Trinchera, L., & Amato, S. (2010). PLS path modeling: from foundations to recent developments and open issues for model assessment and improvement. Handbook of partial least squares, 47-82.
Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS quarterly, 33(1), 177-195.
Wong, K. K. K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), 1-32.
Yuan, H. (2012). A model for evaluating the social performance of construction waste management. Waste management, 32(6), 1218-1228.
Zaid Alkilani, S. (2018). Performance Measurement and Improvement Model for Small and Medium Contractors in De-veloping Countries (Doctoral dissertation, UNSW Sydney).
Abusafiya, H. A., & Suliman, S. M. (2017). Causes and effects of cost overrun on construction project in Bahrain: Part I (ranking of cost overrun factors and risk mapping). Modern Applied Science, 11(7), 20.
Aibinu, A. A., & Al-Lawati, A. M. (2010). Using PLS-SEM technique to model construction organizations' willingness to participate in e-bidding. Automation in construction, 19(6), 714-724.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Routledge.
Dominic, T., & Theuvsen, L. (2015). The impact of external and internal factors on strategic management practices of agribusiness firms in Tanzania (No. 858-2016-60295).
Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.
Fornell, C., Cha, J., & Bagozzi, R. P. (1994). Advanced methods of marketing research. Cambridge, MA: Blackwell Business. Journal of Organizational Behavior, 26(4), 331-362.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guide-lines. Industrial management & data systems., 116(1).
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.
Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic journal of business research methods, 6(1), pp53-60.
Memon, A. H., & Rahman, I. A. (2014). SEM-PLS analysis of inhibiting factors of cost performance for large construc-tion projects in Malaysia: perspective of clients and consultants. The Scientific World Journal, 2014.
Mohamad, M. M., Sulaiman, N. L., Sern, L. C., & Salleh, K. M. (2015). Measuring the validity and reliability of re-search instruments. Procedia-Social and Behavioral Sciences, 204, 164-171.
Nagapan, S. (2014). Structural Modelling of Cause and Effect Factors of Conrtsuction Waste Generation in Malaysian Construction Industry (Doctoral dissertation, Universiti Tun Hussein Onn Malaysia).
Nitzl, C., & Chin, W. W. (2017). The case of partial least squares (PLS) path modeling in managerial accounting re-search. Journal of Management Control, 28(2), 137-156.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Handbook of market research (pp. 587-632). Cham: Springer International Publishing.
Schumacker, E., & Lomax, G. (2016). A Beginner’s Guide to Structural Equation Modelling. 4th ed.
Suleiman, S., & Abdulkadir, Y. (2022). Partial Least Square Structural Equation Modelling (PLS-SEM) of Patient Satis-faction on Service Quality in Katsina Public Hospitals. Asian Journal of Probability and Statistics, 17(3), 49-60.
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational statistics & data analysis, 48(1), 159-205.
Vinzi, V. E., Trinchera, L., & Amato, S. (2010). PLS path modeling: from foundations to recent developments and open issues for model assessment and improvement. Handbook of partial least squares, 47-82.
Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS quarterly, 33(1), 177-195.
Wong, K. K. K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), 1-32.
Yuan, H. (2012). A model for evaluating the social performance of construction waste management. Waste management, 32(6), 1218-1228.
Zaid Alkilani, S. (2018). Performance Measurement and Improvement Model for Small and Medium Contractors in De-veloping Countries (Doctoral dissertation, UNSW Sydney).