How to cite this paper
Waiyawuththanapoom, P., Thammaboosadee, S., Tirastittam, P., Jermsittiparsert, K., Wongsanguan, C., Sirikamonsin, P & Aunyawong, W. (2022). The role of human resource management and supply chain process in sustainable business performance.Uncertain Supply Chain Management, 10(2), 517-526.
Refrences
Addison, P. F., Stephenson, P. J., Bull, J. W., Carbone, G., Burgman, M., Burgass, M. J., ... & Milner‐Gulland, E. J. (2020). Bringing sustainability to life: A framework to guide biodiversity indicator development for business performance management. Business Strategy and the Environment, 29(8), 3303-3313.
Aydin, D., & Şenoğlu, B. (2018). Estimating The Missing Value In One-Way Anova Under Long-Tailed Symmetric Error Distributions. Sigma: Journal of Engineering & Natural Sciences/Mühendislik ve Fen Bilimleri Dergisi, 36(2).
Becker, W. S., Carbo, J. A., & Langella, I. M. (2010). Beyond self-interest: Integrating social responsibility and supply chain management with human resource development. Human Resource Development Review, 9(2), 144-168.
Bowling, A., Bond, M., Jenkinson, C., & Lamping, D. (1999). Short Form 36 (SF-36) Health Survey questionnaire: which normative data should be used? Comparisons between the norms provided by the Omnibus Survey in Britain, the Health Survey for England and the Oxford Healthy Life Survey. Journal of Public Health, 21(3), 255-270.
Chan, L. L., Shaffer, M. A., & Snape, E. (2004). In search of sustained competitive advantage: the impact of organizational culture, competitive strategy and human resource management practices on firm performance. The International Journal of Human Resource Management, 15(1), 17-35.
Chi, T., Kilduff, P. P., & Gargeya, V. B. (2009). Alignment between business environment characteristics, competitive priorities, supply chain structures, and firm business performance. International Journal of productivity and Performance management, 58(7).
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
Demartini, M., Orlandi, I., Tonelli, F., & Anguita, D. (2016). Investigating sustainability as a performance dimension of a novel Manufacturing Value Modeling Methodology (MVMM): from sustainability business drivers to relevant metrics and performance indicators. XXI Summer Sch.“Francesco Turco.
F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 18(3), 382-388.
Francisco, J., Cajé, J., Semaan, F., & Pacheco, W. (2017). Chemistry in sustainability and chemistry of sustainability: Waste of use of fishing industry for removal of waste textile industry. SM Anal. Bioanal. Technique, 1, 1005.
Ghituleasa, P. C., Dorogan, A., Carpus, E., Bulacu, C., & Enciu, A. (2020). ASPECTS REGARDING THE ROMANIAN WOOL FIBRES MANUFACTURING, IN ORDER TO OBTAIN INSULATION MATERIALS FOR BUILDINGS AND TO VALORIZE THIS VALUABLE RAW MATERIAL. Nonconventional Technologies Review/Revista de Tehnologii Neconventionale, 24(1).
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442-458.
Hair, J. F. (2010). Black, WC, Babin, BJ, & Anderson, RE (2010). Multivariate data analysis, 7.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance.
Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The use of partial least squares structural equation modeling in strategic management research: a review of past practices and recommendations for future applications. Long range planning, 45(5-6), 320-340.
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage Publications.
Hameed, W. U., Basheer, M. F., Iqbal, J., Anwar, A., & Ahmad, H. K. (2018). Determinants of Firm’s open innovation performance and the role of R & D department: an empirical evidence from Malaysian SME’s. Journal of Global Entrepreneurship Research, 8(1), 29.
Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., . . . Calantone, R. J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013). Organizational Research Methods, 17(2), 182-209.
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.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing New challenges to international marketing (pp. 277-319): Emerald Group Publishing Limited.
Jermsittiparsert, K., Namdej, P., & Somjai, S. (2019). Green supply chain practices and sustainable performance: Moderating role of total quality management practices in electronic industry of Thailand. International Journal of Supply Chain Management, 8(3), 33-46.
Jiang, K., Lepak, D. P., Hu, J., & Baer, J. C. (2012). How does human resource management influence organizational outcomes? A meta-analytic investigation of mediating mechanisms. Academy of Management Journal, 55(6), 1264-1294.
Jubaedah, J., Yulivan, I., & Hadi, A. R. A. (2016). The Influence of Financial Performance, Capital Structure and Macroeconomic Factors on Firm’s Value–Evidence from Textile Companies at Thailand Stock Exchange. Applied Finance and Accounting, 2(2), 18-29.
Kashoob, A., & Jais, J. (2020). Human resource management (HRM) practices and employee performance in privatized companies: The moderating role of organizational politics. International Journal of Advanced Science and Technology, 29(3), 4047-4057.
Lee, S. M., Lee, D., & Kang, C.-Y. (2012). The impact of high-performance work systems in the health-care industry: employee reactions, service quality, customer satisfaction, and customer loyalty. The Service Industries Journal, 32(1), 17-36.
Mariam, S. (2019). The Effect Of Leverage On Corporate Values With Profitability As Intervening Variables In Textile And Garment Manufacturing Companies Which Are Listed In Thailand Stock Exchange (Idx). Business and Entrepreneurial Review, 19(2), 169-180.
Prasetyani, D., Abidin, A. Z., Purusa, N. A., & Sandra, F. A. (2020). The Prospects and The Competitiveness of Textile Commodities and Thai Textile Product in the Global Market. ETIKONOMI, 19(1), 1-18.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior research methods, 40(3), 879-891.
Rajaguru, R., & Matanda, M. J. (2009). Influence of inter-organisational integration on business performance: The mediating role of organisational-level supply chain functions. Journal of Enterprise Information Management, 22(4), 456-467.
Rajme-Mendez, J. I., Markhoff, D., Vos, L., & Kindt, M. (2019). Sustainability Driven Textile Material And Process Evaluation Supported By A Customizable Software Tool. Paper presented at the Proceedings of the 19th World Textile Conference-Autex 2019.
Razzaq, S., Maqbool, N., & Hameed, W. U. (2019). Factors Effecting The Elasticity Of Micro Credit Demand In Southern Punjab, Pakistan. International Journal of Social Sciences and Economic Review, 1(2), 46-53.
Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of research in Marketing, 26(4), 332-344.
Rodwell, J. J., Kienzle, R., & Shadur, M. A. (1998). The relationship among work‐related perceptions, employee attitudes, and employee performance: The integral role of communications. Human Resource Management: Published in Cooperation with the School of Business Administration, The University of Michigan and in alliance with the Society of Human Resources Management, 37(3‐4), 277-293.
Roosmini, D., Andarani, P., & Nastiti, A. (2010). Heavy metals (Cu and Cr) pollution from textile industry in surface water and sediment (Case study: Cikijing River, West Java, Thailand). Paper presented at the The 8th International Symposium on Southeast Asian Water Environment.
Sels, L., De Winne, S., Delmotte, J., Maes, J., Faems, D., & Forrier, A. (2006). Linking HRM and small business performance: An examination of the impact of HRM intensity on the productivity and financial performance of small businesses. Small Business Economics, 26(1), 83-101.
Siuly, Li, Y., & Wen, P. (2011). EEG signal classification based on simple random sampling technique with least square support vector machine. International journal of Biomedical Engineering and Technology, 7(4), 390-409.
Tsai, C.-J., Edwards, P., & Sengupta, S. (2010). The associations between organisational performance, employee attitudes and human resource management practices: An empirical study of small businesses. Journal of general management, 36(1), 1-20.
Ul-Hameed, W., Mohammad, H., Shahar, H., Aljumah, A., & Azizan, S. (2019). The effect of integration between audit and leadership on supply chain performance: Evidence from UK based supply chain companies. Uncertain Supply Chain Management, 7(2), 311-328.
Yadav, G., Luthra, S., Jakhar, S. K., Mangla, S. K., & Rai, D. P. (2020). A framework to overcome sustainable supply chain challenges through solution measures of industry 4.0 and circular economy: An automotive case. Journal of Cleaner Production, 254, 120112.
Aydin, D., & Şenoğlu, B. (2018). Estimating The Missing Value In One-Way Anova Under Long-Tailed Symmetric Error Distributions. Sigma: Journal of Engineering & Natural Sciences/Mühendislik ve Fen Bilimleri Dergisi, 36(2).
Becker, W. S., Carbo, J. A., & Langella, I. M. (2010). Beyond self-interest: Integrating social responsibility and supply chain management with human resource development. Human Resource Development Review, 9(2), 144-168.
Bowling, A., Bond, M., Jenkinson, C., & Lamping, D. (1999). Short Form 36 (SF-36) Health Survey questionnaire: which normative data should be used? Comparisons between the norms provided by the Omnibus Survey in Britain, the Health Survey for England and the Oxford Healthy Life Survey. Journal of Public Health, 21(3), 255-270.
Chan, L. L., Shaffer, M. A., & Snape, E. (2004). In search of sustained competitive advantage: the impact of organizational culture, competitive strategy and human resource management practices on firm performance. The International Journal of Human Resource Management, 15(1), 17-35.
Chi, T., Kilduff, P. P., & Gargeya, V. B. (2009). Alignment between business environment characteristics, competitive priorities, supply chain structures, and firm business performance. International Journal of productivity and Performance management, 58(7).
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
Demartini, M., Orlandi, I., Tonelli, F., & Anguita, D. (2016). Investigating sustainability as a performance dimension of a novel Manufacturing Value Modeling Methodology (MVMM): from sustainability business drivers to relevant metrics and performance indicators. XXI Summer Sch.“Francesco Turco.
F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 18(3), 382-388.
Francisco, J., Cajé, J., Semaan, F., & Pacheco, W. (2017). Chemistry in sustainability and chemistry of sustainability: Waste of use of fishing industry for removal of waste textile industry. SM Anal. Bioanal. Technique, 1, 1005.
Ghituleasa, P. C., Dorogan, A., Carpus, E., Bulacu, C., & Enciu, A. (2020). ASPECTS REGARDING THE ROMANIAN WOOL FIBRES MANUFACTURING, IN ORDER TO OBTAIN INSULATION MATERIALS FOR BUILDINGS AND TO VALORIZE THIS VALUABLE RAW MATERIAL. Nonconventional Technologies Review/Revista de Tehnologii Neconventionale, 24(1).
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442-458.
Hair, J. F. (2010). Black, WC, Babin, BJ, & Anderson, RE (2010). Multivariate data analysis, 7.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance.
Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The use of partial least squares structural equation modeling in strategic management research: a review of past practices and recommendations for future applications. Long range planning, 45(5-6), 320-340.
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage Publications.
Hameed, W. U., Basheer, M. F., Iqbal, J., Anwar, A., & Ahmad, H. K. (2018). Determinants of Firm’s open innovation performance and the role of R & D department: an empirical evidence from Malaysian SME’s. Journal of Global Entrepreneurship Research, 8(1), 29.
Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., . . . Calantone, R. J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013). Organizational Research Methods, 17(2), 182-209.
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.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing New challenges to international marketing (pp. 277-319): Emerald Group Publishing Limited.
Jermsittiparsert, K., Namdej, P., & Somjai, S. (2019). Green supply chain practices and sustainable performance: Moderating role of total quality management practices in electronic industry of Thailand. International Journal of Supply Chain Management, 8(3), 33-46.
Jiang, K., Lepak, D. P., Hu, J., & Baer, J. C. (2012). How does human resource management influence organizational outcomes? A meta-analytic investigation of mediating mechanisms. Academy of Management Journal, 55(6), 1264-1294.
Jubaedah, J., Yulivan, I., & Hadi, A. R. A. (2016). The Influence of Financial Performance, Capital Structure and Macroeconomic Factors on Firm’s Value–Evidence from Textile Companies at Thailand Stock Exchange. Applied Finance and Accounting, 2(2), 18-29.
Kashoob, A., & Jais, J. (2020). Human resource management (HRM) practices and employee performance in privatized companies: The moderating role of organizational politics. International Journal of Advanced Science and Technology, 29(3), 4047-4057.
Lee, S. M., Lee, D., & Kang, C.-Y. (2012). The impact of high-performance work systems in the health-care industry: employee reactions, service quality, customer satisfaction, and customer loyalty. The Service Industries Journal, 32(1), 17-36.
Mariam, S. (2019). The Effect Of Leverage On Corporate Values With Profitability As Intervening Variables In Textile And Garment Manufacturing Companies Which Are Listed In Thailand Stock Exchange (Idx). Business and Entrepreneurial Review, 19(2), 169-180.
Prasetyani, D., Abidin, A. Z., Purusa, N. A., & Sandra, F. A. (2020). The Prospects and The Competitiveness of Textile Commodities and Thai Textile Product in the Global Market. ETIKONOMI, 19(1), 1-18.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior research methods, 40(3), 879-891.
Rajaguru, R., & Matanda, M. J. (2009). Influence of inter-organisational integration on business performance: The mediating role of organisational-level supply chain functions. Journal of Enterprise Information Management, 22(4), 456-467.
Rajme-Mendez, J. I., Markhoff, D., Vos, L., & Kindt, M. (2019). Sustainability Driven Textile Material And Process Evaluation Supported By A Customizable Software Tool. Paper presented at the Proceedings of the 19th World Textile Conference-Autex 2019.
Razzaq, S., Maqbool, N., & Hameed, W. U. (2019). Factors Effecting The Elasticity Of Micro Credit Demand In Southern Punjab, Pakistan. International Journal of Social Sciences and Economic Review, 1(2), 46-53.
Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of research in Marketing, 26(4), 332-344.
Rodwell, J. J., Kienzle, R., & Shadur, M. A. (1998). The relationship among work‐related perceptions, employee attitudes, and employee performance: The integral role of communications. Human Resource Management: Published in Cooperation with the School of Business Administration, The University of Michigan and in alliance with the Society of Human Resources Management, 37(3‐4), 277-293.
Roosmini, D., Andarani, P., & Nastiti, A. (2010). Heavy metals (Cu and Cr) pollution from textile industry in surface water and sediment (Case study: Cikijing River, West Java, Thailand). Paper presented at the The 8th International Symposium on Southeast Asian Water Environment.
Sels, L., De Winne, S., Delmotte, J., Maes, J., Faems, D., & Forrier, A. (2006). Linking HRM and small business performance: An examination of the impact of HRM intensity on the productivity and financial performance of small businesses. Small Business Economics, 26(1), 83-101.
Siuly, Li, Y., & Wen, P. (2011). EEG signal classification based on simple random sampling technique with least square support vector machine. International journal of Biomedical Engineering and Technology, 7(4), 390-409.
Tsai, C.-J., Edwards, P., & Sengupta, S. (2010). The associations between organisational performance, employee attitudes and human resource management practices: An empirical study of small businesses. Journal of general management, 36(1), 1-20.
Ul-Hameed, W., Mohammad, H., Shahar, H., Aljumah, A., & Azizan, S. (2019). The effect of integration between audit and leadership on supply chain performance: Evidence from UK based supply chain companies. Uncertain Supply Chain Management, 7(2), 311-328.
Yadav, G., Luthra, S., Jakhar, S. K., Mangla, S. K., & Rai, D. P. (2020). A framework to overcome sustainable supply chain challenges through solution measures of industry 4.0 and circular economy: An automotive case. Journal of Cleaner Production, 254, 120112.