How to cite this paper
Jermsittiparsert, K. (2021). The role of supply chain and product development in sustainable performance, goodwill and firm popularity.Uncertain Supply Chain Management, 9(4), 877-886.
Refrences
Abbas, A. A., Hussein, M. A., & Mohammad, M. M. (2018). Design Parameters Estimation and Design Sensitivity Analysis in Manufacturing Process of Rubber Pad by Using Finite Element Technique. Int. J. Mech. Mechatronics Eng, 18(03), 75-85.
Abbas, J., Mahmood, S., Ali, H., Ali Raza, M., Ali, G., Aman, J., . . . Nurunnabi, M. (2019). The Effects of Corporate Social Responsibility Practices and Environmental Factors through a Moderating Role of Social Media Marketing on Sustainable Performance of Business Firms. Sustainability, 11(12), 3434.
Ahmed, W., Ashraf, M. S., Khan, S. A., Kusi-Sarpong, S., Arhin, F. K., Kusi-Sarpong, H., & Najmi, A. (2020). Analyzing the impact of environmental collaboration among supply chain stakeholders on a firm’s sustainable performance. Operations Management Research, 1-18.
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).
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.
Boonyaratchinda, M., & Kongkarat, S. (2020). Fundamental Investigation of Ferrosilicon Production Using Rice Husk and Rubber Tree Bark at 1550° C: Implication for Utilization of Agricultural Waste in Steelmaking Industry. Paper presented at the Materials Science Forum.
Bouncken, R. B., Fredrich, V., Ritala, P., & Kraus, S. (2018). Coopetition in new product development alliances: advantages and tensions for incremental and radical innovation. British Journal of management, 29(3), 391-410.
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.
Cheng, C. C., & Krumwiede, D. (2018). Enhancing the performance of supplier involvement in new product development: the enabling roles of social media and firm capabilities. Supply Chain Management: An International Journal.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
Cho, M., Bonn, M. A., & Terrell, B. B. (2019). Interaction effects between contract specificity, competence trust and goodwill trust upon supplier opportunism and relational stability. International Journal of Contemporary Hospitality Management.
Dasanayaka, S., & Sardana, G. (2017). Identification of factors affecting productivity of small and medium scale enterprises in Sri Lanka: a case study on rubber manufacturing sector. World Review of Entrepreneurship, Management and Sustainable Development, 13(4), 389-417.
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.
Fong, Y. C., Khin, A. A., & Lim, C. S. (2018). Conceptual Review and the Production, C. onsumption and Price Models of the Natural Rubber Industry in Selected ASEAN Countries and World Market. Asian Journal of Economic Modelling, 6(4), 403-418.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
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.
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.
Haryanto, A. T., Dewi, S. N., & Choerudin, A. (2020). The Effect of Development Research of Intensity and Competitive Management on Marketing Performance With Innovation Based Green Product as Mediator Variable: An Empirical Study. Journal of Talent Development and Excellence, 12(1), 4643-4654.
Henseler, J., & Chin, W. W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural Equation Modeling, 17(1), 82-109.
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., & 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.
Hofman, E., Schleimer, S. C., & Faems, D. (2018). When does goodwill trust matter in interfirm new product development? Paper presented at the 25th Innovation and Product Development Management Conference 2018.
Iqbal, J., & Kousar, S. (2018). Antecedents of Sustainable Social Entrepreneurship Initiatives in Pakistan and Outcomes: Collaboration between Quadruple Helix Sectors. Sustainability, 10(12), 4539.
Jermsittiparsert, K., Joemsittiprasert, W., Wasino, C. S., & Budi, S. (2019). Quality Costing and Supplier Social Sustainability as Antecedents of Supply Chain Performance: A Case of Rubber Industry of Indonesia. Int. J Sup. Chain. Mgt Vol, 8(4), 492.
Nabayi, A., Teh, C., Husni, M., & Sulaiman, Z. (2018). Plant Growth, Nutrient Content and Water Use of Rubber (Hevea brasiliensis) Seedlings Grown using Root Trainers and Different Irrigation Systems. Pertanika Journal of Tropical Agricultural Science, 41(1).
Navaratnarajah, S. K., & Indraratna, B. (2018). Closure to “Use of Rubber Mats to Improve the Deformation and Degradation Behavior of Rail Ballast under Cyclic Loading” by Sinniah K. Navaratnarajah and Buddhima Indraratna. Journal of Geotechnical and Geoenvironmental Engineering, 144(7), 07018014.
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.
Saffian, H. A., Harun, J., Tahir, P. M., & Khalina, A. (2011). Feasibility of manufacturing a medium density fibreboard made of 4-year old rubber tree RRIM 2020 clone. Paper presented at the Key Engineering Materials.
Schöggl, J.-P., Baumgartner, R. J., & Hofer, D. (2017). Improving sustainability performance in early phases of product design: A checklist for sustainable product development tested in the automotive industry. Journal of Cleaner Production, 140, 1602-1617.
Shahab, Y., Ntim, C. G., Chen, Y., Ullah, F., Li, H. X., & Ye, Z. (2020). Chief executive officer attributes, sustainable performance, environmental performance, and environmental reporting: New insights from upper echelons perspective. Business Strategy and the Environment.
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.
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.
Abbas, J., Mahmood, S., Ali, H., Ali Raza, M., Ali, G., Aman, J., . . . Nurunnabi, M. (2019). The Effects of Corporate Social Responsibility Practices and Environmental Factors through a Moderating Role of Social Media Marketing on Sustainable Performance of Business Firms. Sustainability, 11(12), 3434.
Ahmed, W., Ashraf, M. S., Khan, S. A., Kusi-Sarpong, S., Arhin, F. K., Kusi-Sarpong, H., & Najmi, A. (2020). Analyzing the impact of environmental collaboration among supply chain stakeholders on a firm’s sustainable performance. Operations Management Research, 1-18.
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).
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.
Boonyaratchinda, M., & Kongkarat, S. (2020). Fundamental Investigation of Ferrosilicon Production Using Rice Husk and Rubber Tree Bark at 1550° C: Implication for Utilization of Agricultural Waste in Steelmaking Industry. Paper presented at the Materials Science Forum.
Bouncken, R. B., Fredrich, V., Ritala, P., & Kraus, S. (2018). Coopetition in new product development alliances: advantages and tensions for incremental and radical innovation. British Journal of management, 29(3), 391-410.
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.
Cheng, C. C., & Krumwiede, D. (2018). Enhancing the performance of supplier involvement in new product development: the enabling roles of social media and firm capabilities. Supply Chain Management: An International Journal.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
Cho, M., Bonn, M. A., & Terrell, B. B. (2019). Interaction effects between contract specificity, competence trust and goodwill trust upon supplier opportunism and relational stability. International Journal of Contemporary Hospitality Management.
Dasanayaka, S., & Sardana, G. (2017). Identification of factors affecting productivity of small and medium scale enterprises in Sri Lanka: a case study on rubber manufacturing sector. World Review of Entrepreneurship, Management and Sustainable Development, 13(4), 389-417.
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.
Fong, Y. C., Khin, A. A., & Lim, C. S. (2018). Conceptual Review and the Production, C. onsumption and Price Models of the Natural Rubber Industry in Selected ASEAN Countries and World Market. Asian Journal of Economic Modelling, 6(4), 403-418.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
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.
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.
Haryanto, A. T., Dewi, S. N., & Choerudin, A. (2020). The Effect of Development Research of Intensity and Competitive Management on Marketing Performance With Innovation Based Green Product as Mediator Variable: An Empirical Study. Journal of Talent Development and Excellence, 12(1), 4643-4654.
Henseler, J., & Chin, W. W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural Equation Modeling, 17(1), 82-109.
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., & 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.
Hofman, E., Schleimer, S. C., & Faems, D. (2018). When does goodwill trust matter in interfirm new product development? Paper presented at the 25th Innovation and Product Development Management Conference 2018.
Iqbal, J., & Kousar, S. (2018). Antecedents of Sustainable Social Entrepreneurship Initiatives in Pakistan and Outcomes: Collaboration between Quadruple Helix Sectors. Sustainability, 10(12), 4539.
Jermsittiparsert, K., Joemsittiprasert, W., Wasino, C. S., & Budi, S. (2019). Quality Costing and Supplier Social Sustainability as Antecedents of Supply Chain Performance: A Case of Rubber Industry of Indonesia. Int. J Sup. Chain. Mgt Vol, 8(4), 492.
Nabayi, A., Teh, C., Husni, M., & Sulaiman, Z. (2018). Plant Growth, Nutrient Content and Water Use of Rubber (Hevea brasiliensis) Seedlings Grown using Root Trainers and Different Irrigation Systems. Pertanika Journal of Tropical Agricultural Science, 41(1).
Navaratnarajah, S. K., & Indraratna, B. (2018). Closure to “Use of Rubber Mats to Improve the Deformation and Degradation Behavior of Rail Ballast under Cyclic Loading” by Sinniah K. Navaratnarajah and Buddhima Indraratna. Journal of Geotechnical and Geoenvironmental Engineering, 144(7), 07018014.
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.
Saffian, H. A., Harun, J., Tahir, P. M., & Khalina, A. (2011). Feasibility of manufacturing a medium density fibreboard made of 4-year old rubber tree RRIM 2020 clone. Paper presented at the Key Engineering Materials.
Schöggl, J.-P., Baumgartner, R. J., & Hofer, D. (2017). Improving sustainability performance in early phases of product design: A checklist for sustainable product development tested in the automotive industry. Journal of Cleaner Production, 140, 1602-1617.
Shahab, Y., Ntim, C. G., Chen, Y., Ullah, F., Li, H. X., & Ye, Z. (2020). Chief executive officer attributes, sustainable performance, environmental performance, and environmental reporting: New insights from upper echelons perspective. Business Strategy and the Environment.
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.
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.