How to cite this paper
Ronaldo, R. (2020). Measuring the performance of poultry business through effective supply chain management skills.Uncertain Supply Chain Management, 8(1), 55-66.
Refrences
Ahmad Shabudin, A. (2014). Contract farming supply chain relationship and business performance within Malaysian poultry industry. Universiti Utara Malaysia.
Clauss, T., & Spieth, P. (2016). Treat your suppliers right! Aligning strategic innovation orientation in captive supplier relationships with relational and transactional governance mechanisms. R&D Management, 46(S3), 1044-1061.
Comrey, A., & Lee, H. (1992). Interpretation and application of factor analytic results. Comrey AL, Lee HB. A first course in factor analysis, 2, 1992.
Delgado, C., Rosegrant, M., Steinfeld, H., & Ehui, S. (2020). C. Courbois, C. 1999. The Next Food Revolution. Chapter 14. Livestock to.
Esteve‐Altava, B. (2017). In search of morphological modules: a systematic review. Biological Reviews, 92(3), 1332-1347.
Ganesh, J., Arnold, M. J., & Reynolds, K. E. (2000). Understanding the customer base of service providers: an examination of the differences between switchers and stayers. Journal of marketing, 64(3), 65-87.
Gutmann, D. H., Aylsworth, A., Carey, J. C., Korf, B., Marks, J., Pyeritz, R. E., . . . Viskochil, D. (1997). The diagnostic evaluation and multidisciplinary management of neurofibromatosis 1 and neurofibromatosis 2. Jama, 278(1), 51-57.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616-632.
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.
Hamidi, H. (2017). A model for impact of organizational project benefits management and its impact on end user. Journal of Organizational and End User Computing (JOEUC), 29(1), 51-65.
Hao, S., & Song, M. (2016). Technology-driven strategy and firm performance: Are strategic capabilities missing links? Journal of Business Research, 69(2), 751-759.
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.
Jung, S., & Simpson, T. W. (2017). New modularity indices for modularity assessment and clustering of product architecture. Journal of Engineering Design, 28(1), 1-22.
Kannan, V. R., & Choon Tan, K. (2006). Buyer-supplier relationships: The impact of supplier selection and buyer-supplier engagement on relationship and firm performance. International Journal of Physical Distribution & Logistics Management, 36(10), 755-775.
Koch, C., Nyffeler, N., & Arnould, Y. (2016). The Dilemmas of Mechatronics Business, Between Customer Demands and Concepts for Product Platforms. Paper presented at the European Conference on Management, Leadership & Governance.
Lashari, M. H., Memon, A. A., Shah, S. A. A., Nenwani, K., & Shafqat, F. (2018). IoT Based Poultry Environment Monitoring System. Paper presented at the 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS).
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological methods, 1(2), 130.
Magnusson, T., & Lakemond, N. (2017). Evolving schemes of interpretation: investigating the dual role of architectures in new product development. R&D Management, 47(1), 36-46.
Marcoulides, G. A., & Saunders, C. (2006). Editor's comments: PLS: a silver bullet? MIS quarterly, 30(2), 3-4.
McKenzie, K., Murray, A. L., Wilkinson, A., Murray, G. C., Metcalfe, D., O'Donnell, M., & McCarty, K. (2018). The relations between processing style, autistic-like traits, and emotion recognition in individuals with and without Autism Spectrum Disorder. Personality and Individual Differences, 120, 1-6.
Peleh, T., Ike, K. G., Wams, E. J., Lebois, E. P., & Hengerer, B. (2019). The reverse translation of a quantitative neuropsychiatric framework into preclinical studies: Focus on social interaction and behavior. Neuroscience & Biobehavioral Reviews.
Potts, J., & Kastelle, T. (2017). Economics of innovation in Australian agricultural economics and policy. Economic Analysis and Policy, 54, 96-104.
Preacher, K. J., & Hayes, A. F. (2008). Assessing mediation in communication research. The Sage sourcebook of advanced data analysis methods for communication research, 13-54.
Pu, M., & Soh, P.-H. (2018). The role of dual embeddedness and organizational learning in subsidiary development. Asia Pacific Journal of Management, 35(2), 373-397.
Qureshi, M. S., Aziz, N., & Mian, S. A. (2017). How marketing capabilities shape entrepreneurial firm’s performance? Evidence from new technology based firms in turkey. Journal of Global Entrepreneurship Research, 7(1), 15.
Sanchez, R., & Hang, C. C. (2017). Modularity in new market formation: Lessons for technology and economic policy and competence-based strategic management Mid-Range Management Theory: Competence Perspectives on Modularity and Dynamic Capabilities (pp. 131-165): Emerald Publishing Limited.
Schroeder, R. G., Bates, K. A., & Junttila, M. A. (2002). A resource‐based view of manufacturing strategy and the relationship to manufacturing performance. Strategic management journal, 23(2), 105-117.
Sekaran, U., & Bougie, R. (2003). Research methods: A skill building approach: New York.
Shabudin, A., Mohtar, S., & Mad Lazim, H. (2015). Associations between integrator, grower involvement and business performance: Emphasis on validity & reliability. Management and Organizational Studies.
Shamsuddoha, M. (2011). Applying reverse supply chain in the poultry industry. Paper presented at the CGSB Research Forum.
Suleiman, R., Mahmud, A., Oladimeji, Y., Olanrewaju, T., & Ojeleye, O. (2018). Effects of Socio-Economic Characteristics on the Profitability of Poultry Production among Poultry Farmers in Kaduna State. Journal of Agricultural Extension, 22(1), 185-195.
Thatte, A., & Agrawal, V. (2017). Exploring supply chain responsiveness effects on competitive advantage of a firm. Quarterly Review of Business Disciplines, 4(3), 211-228.
Vickery, S. K., Bolumole, Y. A., Castel, M. J., & Calantone, R. J. (2015). The effects of product modularity on launch speed. International Journal of Production Research, 53(17), 5369-5381.
Wadnerkar, P., & Dalu, R. (2018). TO STUDY THE PRESENT STATUS OF SUPPLY CHAIN MANAGEMENT IN MEDIUM SCALE AGRO IMPLEMENTS MANUFACTURING INDUSTRIES. Journal of Mechanical and Industrial Engineering Research, 7(2), 1.
Waseem-Ul-Hameed, S. N., Azeem, M., Aljumah, A. I., & Adeyemi, R. A. (2018). Determinants of e-logistic customer satisfaction: A mediating role of information and communication technology (ICT). International Journal of Supply Chain Management, 7(1), 105.
Williams, C., Colovic, A., & Zhu, J. (2017). Integration-responsiveness, local hires and subsidiary performance amidst turbulence: Insights from a survey of Chinese subsidiaries. Journal of World Business, 52(6), 842-853.
Yeniyurt, S., Wu, F., Kim, D., & Cavusgil, S. T. (2019). Information technology resources, innovativeness, and supply chain capabilities as drivers of business performance: A retrospective and future research directions. Industrial Marketing Management.
Zhang, M., Guo, H., Huo, B., Zhao, X., & Huang, J. (2019). Linking supply chain quality integration with mass customization and product modularity. International Journal of Production Economics, 207, 227-235.
Clauss, T., & Spieth, P. (2016). Treat your suppliers right! Aligning strategic innovation orientation in captive supplier relationships with relational and transactional governance mechanisms. R&D Management, 46(S3), 1044-1061.
Comrey, A., & Lee, H. (1992). Interpretation and application of factor analytic results. Comrey AL, Lee HB. A first course in factor analysis, 2, 1992.
Delgado, C., Rosegrant, M., Steinfeld, H., & Ehui, S. (2020). C. Courbois, C. 1999. The Next Food Revolution. Chapter 14. Livestock to.
Esteve‐Altava, B. (2017). In search of morphological modules: a systematic review. Biological Reviews, 92(3), 1332-1347.
Ganesh, J., Arnold, M. J., & Reynolds, K. E. (2000). Understanding the customer base of service providers: an examination of the differences between switchers and stayers. Journal of marketing, 64(3), 65-87.
Gutmann, D. H., Aylsworth, A., Carey, J. C., Korf, B., Marks, J., Pyeritz, R. E., . . . Viskochil, D. (1997). The diagnostic evaluation and multidisciplinary management of neurofibromatosis 1 and neurofibromatosis 2. Jama, 278(1), 51-57.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616-632.
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.
Hamidi, H. (2017). A model for impact of organizational project benefits management and its impact on end user. Journal of Organizational and End User Computing (JOEUC), 29(1), 51-65.
Hao, S., & Song, M. (2016). Technology-driven strategy and firm performance: Are strategic capabilities missing links? Journal of Business Research, 69(2), 751-759.
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.
Jung, S., & Simpson, T. W. (2017). New modularity indices for modularity assessment and clustering of product architecture. Journal of Engineering Design, 28(1), 1-22.
Kannan, V. R., & Choon Tan, K. (2006). Buyer-supplier relationships: The impact of supplier selection and buyer-supplier engagement on relationship and firm performance. International Journal of Physical Distribution & Logistics Management, 36(10), 755-775.
Koch, C., Nyffeler, N., & Arnould, Y. (2016). The Dilemmas of Mechatronics Business, Between Customer Demands and Concepts for Product Platforms. Paper presented at the European Conference on Management, Leadership & Governance.
Lashari, M. H., Memon, A. A., Shah, S. A. A., Nenwani, K., & Shafqat, F. (2018). IoT Based Poultry Environment Monitoring System. Paper presented at the 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS).
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological methods, 1(2), 130.
Magnusson, T., & Lakemond, N. (2017). Evolving schemes of interpretation: investigating the dual role of architectures in new product development. R&D Management, 47(1), 36-46.
Marcoulides, G. A., & Saunders, C. (2006). Editor's comments: PLS: a silver bullet? MIS quarterly, 30(2), 3-4.
McKenzie, K., Murray, A. L., Wilkinson, A., Murray, G. C., Metcalfe, D., O'Donnell, M., & McCarty, K. (2018). The relations between processing style, autistic-like traits, and emotion recognition in individuals with and without Autism Spectrum Disorder. Personality and Individual Differences, 120, 1-6.
Peleh, T., Ike, K. G., Wams, E. J., Lebois, E. P., & Hengerer, B. (2019). The reverse translation of a quantitative neuropsychiatric framework into preclinical studies: Focus on social interaction and behavior. Neuroscience & Biobehavioral Reviews.
Potts, J., & Kastelle, T. (2017). Economics of innovation in Australian agricultural economics and policy. Economic Analysis and Policy, 54, 96-104.
Preacher, K. J., & Hayes, A. F. (2008). Assessing mediation in communication research. The Sage sourcebook of advanced data analysis methods for communication research, 13-54.
Pu, M., & Soh, P.-H. (2018). The role of dual embeddedness and organizational learning in subsidiary development. Asia Pacific Journal of Management, 35(2), 373-397.
Qureshi, M. S., Aziz, N., & Mian, S. A. (2017). How marketing capabilities shape entrepreneurial firm’s performance? Evidence from new technology based firms in turkey. Journal of Global Entrepreneurship Research, 7(1), 15.
Sanchez, R., & Hang, C. C. (2017). Modularity in new market formation: Lessons for technology and economic policy and competence-based strategic management Mid-Range Management Theory: Competence Perspectives on Modularity and Dynamic Capabilities (pp. 131-165): Emerald Publishing Limited.
Schroeder, R. G., Bates, K. A., & Junttila, M. A. (2002). A resource‐based view of manufacturing strategy and the relationship to manufacturing performance. Strategic management journal, 23(2), 105-117.
Sekaran, U., & Bougie, R. (2003). Research methods: A skill building approach: New York.
Shabudin, A., Mohtar, S., & Mad Lazim, H. (2015). Associations between integrator, grower involvement and business performance: Emphasis on validity & reliability. Management and Organizational Studies.
Shamsuddoha, M. (2011). Applying reverse supply chain in the poultry industry. Paper presented at the CGSB Research Forum.
Suleiman, R., Mahmud, A., Oladimeji, Y., Olanrewaju, T., & Ojeleye, O. (2018). Effects of Socio-Economic Characteristics on the Profitability of Poultry Production among Poultry Farmers in Kaduna State. Journal of Agricultural Extension, 22(1), 185-195.
Thatte, A., & Agrawal, V. (2017). Exploring supply chain responsiveness effects on competitive advantage of a firm. Quarterly Review of Business Disciplines, 4(3), 211-228.
Vickery, S. K., Bolumole, Y. A., Castel, M. J., & Calantone, R. J. (2015). The effects of product modularity on launch speed. International Journal of Production Research, 53(17), 5369-5381.
Wadnerkar, P., & Dalu, R. (2018). TO STUDY THE PRESENT STATUS OF SUPPLY CHAIN MANAGEMENT IN MEDIUM SCALE AGRO IMPLEMENTS MANUFACTURING INDUSTRIES. Journal of Mechanical and Industrial Engineering Research, 7(2), 1.
Waseem-Ul-Hameed, S. N., Azeem, M., Aljumah, A. I., & Adeyemi, R. A. (2018). Determinants of e-logistic customer satisfaction: A mediating role of information and communication technology (ICT). International Journal of Supply Chain Management, 7(1), 105.
Williams, C., Colovic, A., & Zhu, J. (2017). Integration-responsiveness, local hires and subsidiary performance amidst turbulence: Insights from a survey of Chinese subsidiaries. Journal of World Business, 52(6), 842-853.
Yeniyurt, S., Wu, F., Kim, D., & Cavusgil, S. T. (2019). Information technology resources, innovativeness, and supply chain capabilities as drivers of business performance: A retrospective and future research directions. Industrial Marketing Management.
Zhang, M., Guo, H., Huo, B., Zhao, X., & Huang, J. (2019). Linking supply chain quality integration with mass customization and product modularity. International Journal of Production Economics, 207, 227-235.