Critical Factors of Digital Supply Chains for Organizational Performance Improvement
暂无分享,去创建一个
H. Gupta | Simonov Kusi‐Sarpong | Sharfuddin Ahmed Khan | Francis Kow Arhin | Jennifer Nguseer Lawal | Syed Mehmood Hassan
[1] Himanshu Gupta,et al. Enablers to supply chain performance on the basis of digitization technologies , 2020, Ind. Manag. Data Syst..
[2] Gülçin Büyüközkan,et al. A Novel Approach Integrating AHP and COPRAS Under Pythagorean Fuzzy Sets for Digital Supply Chain Partner Selection , 2019, IEEE Transactions on Engineering Management.
[3] S. Khan,et al. Social sustainable supply chains in the food industry: A perspective of an emerging economy , 2020 .
[4] Tero Rantala,et al. Managing the digital supply chain: The role of smart technologies , 2020 .
[5] Saliha Karadayi-Usta,et al. An Interpretive Structural Analysis for Industry 4.0 Adoption Challenges , 2020, IEEE Transactions on Engineering Management.
[6] Nils Urbach,et al. Improving Interorganizational Information Sharing for Vendor Managed Inventory: Toward a Decentralized Information Hub Using Blockchain Technology , 2020, IEEE Transactions on Engineering Management.
[7] Lincoln C. Wood,et al. Big data analytics as an operational excellence approach to enhance sustainable supply chain performance , 2020 .
[8] Carsten Maple,et al. Electronic Regulation of Data Sharing and Processing Using Smart Ledger Technologies for Supply-Chain Security , 2020, IEEE Transactions on Engineering Management.
[9] Amin Chaabane,et al. Supply chain performance measurement systems: a qualitative review and proposed conceptual framework , 2020, International Journal of Industrial and Systems Engineering.
[10] G. Graham,et al. Supply chain digitalization: past, present and future , 2019, Production Planning & Control.
[11] Assunta Di Vaio,et al. Digitalization in the sea-land supply chain: experiences from Italy in rethinking the port operations within inter-organizational relationships , 2020 .
[12] Nishant Agrawal,et al. A framework for Crosby’s quality principles using ISM and MICMAC approaches , 2019 .
[13] Inayat Ullah,et al. Analysis of barriers in implementation of digital transformation of supply chain using interpretive structural modelling approach , 2019, Journal of Modelling in Management.
[14] William J. Sawaya,et al. Tortoise, not the hare: Digital transformation of supply chain business processes , 2019, Business Horizons.
[15] A. Chaabane,et al. A knowledge-based system for overall supply chain performance evaluation: a multi-criteria decision making approach , 2019, Supply Chain Management: An International Journal.
[16] Rakesh D. Raut,et al. Identifying critical success factors to facilitate reusable plastic packaging towards sustainable supply chain management. , 2019, Journal of environmental management.
[17] Jiangnan Qiu,et al. Interpretive Structural Modeling and MICMAC Analysis for Identifying and Benchmarking Significant Factors of Seismic Soil Liquefaction , 2019, Applied Sciences.
[18] Mrinmoy Chakraborty,et al. Technology Integration for Improved Performance: A Case Study in Digitization of Supply Chain with Integration of Internet of Things and Blockchain Technology , 2019, 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC).
[19] J. Sarkis,et al. A supply chain sustainability innovation framework and evaluation methodology , 2018, Int. J. Prod. Res..
[20] Christian Daxböck,et al. Digitized Performance Management Along the Supply Chain , 2019, Performance Management in Retail and the Consumer Goods Industry.
[21] Yong Qin,et al. Assessing contributory factors in potential systemic accidents using AcciMap and integrated fuzzy ISM - MICMAC approach , 2018, International Journal of Industrial Ergonomics.
[22] Yogesh Kumar Dwivedi,et al. Enablers to implement sustainable initiatives in agri-food supply chains , 2018, International Journal of Production Economics.
[23] E. Devadason,et al. Measuring Human Capital in Small and Medium Manufacturing Enterprises: What Matters? , 2018 .
[24] Gülçin Büyüközkan,et al. Digital Supply Chain: Literature review and a proposed framework for future research , 2018, Comput. Ind..
[25] Alexandre Dolgui,et al. Hybrid Fuzzy-Probabilistic Approach to Supply Chain Resilience Assessment , 2018, IEEE Transactions on Engineering Management.
[26] Feng Li. The digital transformation of business models in the creative industries: A holistic framework and emerging trends , 2018, Technovation.
[27] Jyoti Dhingra Darbari,et al. Analysis of Impediments to Sustainability in the Food Supply Chain: An Interpretive Structural Modeling Approach , 2018 .
[28] Amir Hossein Gharehgozli,et al. Trends in global E-food supply chain and implications for transport: literature review and research directions , 2017 .
[29] K. Voigt,et al. The influence of the Industrial Internet of Things on business models of established manufacturing companies – A business level perspective , 2017 .
[30] Chunguang Bai,et al. An implementation path for green information technology systems in the Ghanaian mining industry , 2017 .
[31] Florian Kerschbaum,et al. Selective access for supply chain management in the cloud , 2017, 2017 IEEE Conference on Communications and Network Security (CNS).
[32] Vasdev Malhotra,et al. Modelling and analysis of agile manufacturing system by ISM and MICMAC analysis , 2017, Int. J. Syst. Assur. Eng. Manag..
[33] Jose Arturo Garza-Reyes,et al. Barriers in Green Lean implementation: a combined systematic literature review and interpretive structural modelling approach , 2017 .
[34] Tomi Dahlberg,et al. Digital Supply Chain Transformation toward Blockchain Integration , 2017, HICSS.
[35] Knut Alicke,et al. Supply Chain 4 . 0 in consumer goods , 2017 .
[36] Bernard De Baets,et al. The digitization of a food package's life cycle: Existing and emerging computer systems in the logistics and post-logistics phase , 2017, Comput. Ind..
[37] Santosh B. Rane,et al. Interpretive structural modelling of risk sources in medical device development process , 2017, Int. J. Syst. Assur. Eng. Manag..
[38] J. Sarkis,et al. Assessing green supply chain practices in the Ghanaian mining industry: A framework and evaluation , 2016 .
[39] Vijay Nehra,et al. Identification and analysis of barriers in implementation of solar energy in Indian rural sector using integrated ISM and fuzzy MICMAC approach , 2016 .
[40] Mahmoud Maqableh,et al. The Impact of Electronic Supply Chain Management Usage on Firm’s Performance , 2016 .
[41] R. Anbanandam,et al. Healthcare waste management: an interpretive structural modeling approach. , 2016, International journal of health care quality assurance.
[42] Vinay Sharma,et al. Impediments to Social Sustainability Adoption in the Supply Chain: An ISM and MICMAC Analysis in Indian Manufacturing Industries , 2016 .
[43] Vishal Ashok Bhosale,et al. An integrated ISM fuzzy MICMAC approach for modelling the supply chain knowledge flow enablers , 2016 .
[44] Kannan Govindan,et al. Barriers in green lean six sigma product development process: an ISM approach , 2016 .
[45] J. Wolfert,et al. Virtualization of food supply chains with the internet of things , 2016 .
[46] Taraneh Sowlati,et al. A multi-criteria decision support model for evaluating the performance of partnerships , 2016, Expert Syst. Appl..
[47] M. Rappa. Managing the Digital Enterprise , 2016 .
[48] A. Haleem,et al. An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective , 2015 .
[49] Angappa Gunasekaran,et al. Green supply chain management enablers: Mixed methods research , 2015 .
[50] Vinay Sharma,et al. Enablers for Competitiveness of Indian Manufacturing Sector: An ISM-Fuzzy MICMAC Analysis , 2015 .
[51] V. R. Pramod,et al. Interpretive Structural Modeling (ISM) and its application in analyzing factors inhibiting implementation of Total Productive Maintenance (TPM) , 2015 .
[52] Tripti Singh,et al. Understanding complex relationship among JIT, lean behaviour, TQM and their antecedents using interpretive structural modelling and fuzzy MICMAC analysis , 2015 .
[53] Sanjay Kumar,et al. Adoption of smart grid technologies: An analysis of interactions among barriers , 2014 .
[54] Rameshwar Dubey,et al. Identification of Flexible Manufacturing System Dimensions and Their Interrelationship Using Total Interpretive Structural Modelling and Fuzzy MICMAC Analysis , 2014 .
[55] Sachin Kumar Mangla,et al. Flexible Decision Approach for Analysing Performance of Sustainable Supply Chains Under Risks/Uncertainty , 2014 .
[56] Angappa Gunasekaran,et al. Benchmarking the interactions among barriers in third-party logistics implementation: An ISM approach , 2013 .
[57] Felix T.S. Chan,et al. Analysis of flexible decision strategies for sustainability-focused green product recovery system , 2013 .
[58] B. Bhargava,et al. Secure information sharing in digital supply chains , 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).
[59] Nikhil Dev,et al. Interpretive Structural Modelling (ISM) approach: An Overview , 2013 .
[60] Z. Rahman,et al. Modelling relationship marketing strategies for sustainability adoption , 2013 .
[61] Sushil. Interpreting the Interpretive Structural Model , 2012, Global Journal of Flexible Systems Management.
[62] Vinod Kumar,et al. Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique: An Indian perspective , 2011 .
[63] Kannan Govindan,et al. An analysis of the drivers affecting the implementation of green supply chain management , 2011 .
[64] Tilak Raj,et al. Quantifying barriers to implementing Total Quality Management (TQM) , 2010 .
[65] P. K. Mishra,et al. MODELING OF INFORMATION SHARING ENABLERS FOR BUILDING TRUST IN INDIAN MANUFACTURING INDUSTRY: AN INTEGRATED ISM AND FUZZY MICMAC APPROACH , 2010 .
[66] Bongsug Chae,et al. Information technology and supply chain collaboration: moderating effects of existing relationships between partners , 2005, IEEE Trans. Engineering Management.
[67] Tony Hines,et al. Supply Chain Strategies , 2004 .
[68] Stephan Vachon,et al. An exploratory investigation of the effects of supply chain complexity on delivery performance , 2002, IEEE Trans. Engineering Management.
[69] S. Deshmukh,et al. Vendor Selection Using Interpretive Structural Modelling (ISM) , 1994 .
[70] Prem Vrat,et al. Impact of indirect relationships in classification of variables—a micmac analysis for energy conservation , 1990 .
[71] John N. Warfield,et al. Developing Interconnection Matrices in Structural Modeling , 1974, IEEE Trans. Syst. Man Cybern..
[72] Michel Godet,et al. Méthode de hiérarchisation des éléments d'un système : essai de prospective du système de l'énergie nucléaire dans son contexte sociétal , 1973 .