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Agile supply chain management: where did it come from and where will it go in the era of digital transformation?
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“NIT has been widely used in the digital transformation literature to investigate various aspects of digital transformation (Dubey et al., 2018b; Shashi et al., 2020; Verhoef et al., 2021).”
From Mastering digital transformation: The nexus between leadership, agility, and digital strategy (2022) · cites this paper as Shashi et al., 2020
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Firm Resources and Sustained Competitive Advantage
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Industry 4.0: A survey on technologies, applications and open research issues
Lu, Y. (2017) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2017.04.005 · Cited by 3,012
Networking and innovation: a systematic review of the evidence
Pittaway, L., Robertson, M., Munir, K., Denyer, D., & Neely, A. (2004) · International Journal of Management Reviews · doi:10.1111/j.1460-8545.2004.00101.x · Cited by 1,747
Wang, G., Gunasekaran, A., Ngai, E. W. T., & Papadopoulos, T. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2016.03.014 · Cited by 1,545
Enterprise agility and the enabling role of information technology
Overby, E., Bharadwaj, A., & Sambamurthy, V (2006) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000600 · Cited by 1,063
Srinivasan, R., & Swink, M. (2018) · Production and Operations Management · doi:10.1111/poms.12746 · Cited by 885
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Research works printed but not linked: 163
- Abdollahi, 2015, An integrated approach for supplier portfolio selection: Lean or agile?, Expert Systems with Applications, 42, 679, 10.1016/j.eswa.2014.08.019 · DOI · Paper page
- Agarwal, 2006, Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach, European Journal of Operational Research, 173, 211, 10.1016/j.ejor.2004.12.005 · DOI
- Agrawal, 2001, University-to-industry knowledge transfer: Literature review and unanswered questions, International Journal of Management Reviews, 3, 285, 10.1111/1468-2370.00069 · DOI
- Aitken, 2002, Understanding, implementing and exploiting agility and leanness, International Journal of Logistics, 5, 59, 10.1080/13675560110084139 · DOI
- Akter, 2017, Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality, Production Planning and Control, 28, 1011, 10.1080/09537287.2016.1267411 · DOI
- Alimardani, 2014, A novel hybrid model based in DEMATEL, ANP and TOPSIS for supplier selection in agile supply chain, International Journal of Services and Operations Management, 18, 179, 10.1504/IJSOM.2014.062000 · DOI
- Alimardani, 2013, A novel hybrid SWARA and VIKOR methodology for supplier selection in an agile environment, Technological and Economic Development of Economy, 19, 533, 10.3846/20294913.2013.814606 · DOI
- Arteta, 2004, A measure of agility as the complexity of the enterprise system, Robotics and Computer-Integrated Manufacturing, 20, 495, 10.1016/j.rcim.2004.05.008 · DOI
- Baker, 2008, The design and operation of distribution centres within agile supply chains, International Journal of Production Economics, 111, 27, 10.1016/j.ijpe.2006.09.019 · DOI
- Barratt, 2004, Understanding the meaning of collaboration in the supply chain, Supply Chain Management: an international journal, 9, 30, 10.1108/13598540410517566 · DOI
- Battistella, 2017, Cultivating business model agility through focused capabilities: A multiple case study, Journal of Business Research, 73, 65, 10.1016/j.jbusres.2016.12.007 · DOI
- Beikkhakhian, 2015, The application of ISM model in evaluating agile suppliers selection criteria and ranking suppliers using fuzzy TOPSIS-AHP methods, Expert Systems with Applications, 42, 6224, 10.1016/j.eswa.2015.02.035 · DOI
- Benckendorff, 2013, A network analysis of tourism research, Annals of Tourism Research, 43, 121, 10.1016/j.annals.2013.04.005 · DOI
- Bidhandi, 2017, Effects of supply chain agility on profitability, Business Process Management Journal, 23, 1064, 10.1108/BPMJ-05-2016-0089 · DOI
- Blome, 2013, Antecedents and enablers of supply chain agility and its effect on performance: A dynamic capabilities perspective, International Journal of Production Research, 51, 1295, 10.1080/00207543.2012.728011 · DOI
- Bottani, 2010, Profile and enablers of agile companies: An empirical investigation, International Journal of Production Economics, 125, 251, 10.1016/j.ijpe.2010.02.016 · DOI
- Braunscheidel, 2009, The organizational antecedents of a firm's supply chain agility for risk mitigation and response, Journal of Operations Management, 27, 119, 10.1016/j.jom.2008.09.006 · DOI
- Brettel, 2014, How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 Perspective, International journal of mechanical, industrial science and engineering, 8, 37
- Brusset, 2016, Does supply chain visibility enhance agility?, International Journal of Production Economics, 171, 46, 10.1016/j.ijpe.2015.10.005 · DOI
- Burgess, 1994, Making the leap to agility: defining and achieving agile manufacturing through business process redesign and business network redesign, International Journal of Operations & Production Management, 14, 23, 10.1108/01443579410068620 · DOI
- Callon, 1983, From translations to problematic networks: An introduction to co-word analysis, Social Science Information, 22, 191, 10.1177/053901883022002003 · DOI · Paper page
- Cegarra-Navarro, 2016, Structured knowledge processes and firm performance: The role of organizational agility, Journal of Business Research, 69, 1544, 10.1016/j.jbusres.2015.10.014 · DOI
- Sharifi, 1999, A methodology for achieving agility in a manufacturing organisation: an introduction, International Journal of Production Economics, 62, 7, 10.1016/S0925-5273(98)00217-5 · DOI
- Shashi Centobelli, 2020, Managing supply chain resilience to pursue business and environmental strategies, Business Strategy and the Environment, 29, 1215, 10.1002/bse.2428 · DOI
- Cerruti, 2016, Characterizing agile supply partnerships in the fashion industry, International Journal of Operations & Production Management, 36, 923, 10.1108/IJOPM-03-2015-0181 · DOI
- Chakravarty, 2013, Information technology competencies, organizational agility, and firm performance: Enabling and facilitating roles, Information Systems Research, 24, 976, 10.1287/isre.2013.0500 · DOI
- Chan, 2017, The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry, European Journal of Operational Research, 259, 486, 10.1016/j.ejor.2016.11.006 · DOI
- Chiang, 2012, An empirical investigation of the impact of strategic sourcing and flexibility on firm's supply chain agility, International Journal of Operations & Production Management, 32, 49, 10.1108/01443571211195736 · DOI
- Christopher, 2000, The agile supply chain: Competing in volatile markets, Industrial Marketing Management, 29, 37, 10.1016/S0019-8501(99)00110-8 · DOI
- Coreynen, 2017, Boosting servitization through digitization: Pathways and dynamic resource configurations for manufacturers, Industrial Marketing Management, 60, 42, 10.1016/j.indmarman.2016.04.012 · DOI
- Costantino, 2012, A model for supply management of agile manufacturing supply chains, International Journal of Production Economics, 135, 451, 10.1016/j.ijpe.2011.08.021 · DOI
- Day, 1994, The capabilities of market-driven organizations, Journal of Marketing, 58, 37, 10.1177/002224299405800404 · DOI
- DeGroote, 2013, The impact of IT on supply chain agility and firm performance: An empirical investigation, International Journal of Information Management, 33, 909, 10.1016/j.ijinfomgt.2013.09.001 · DOI
- Delen, 2018, Research challenges and opportunities in business analytics, Journal of Business Analytics, 1, 2, 10.1080/2573234X.2018.1507324 · DOI
- Dingsøyr, 2012, A decade of agile methodologies: Towards explaining agile software development, Journal of Systems and Software, 85, 1213, 10.1016/j.jss.2012.02.033 · DOI
- Droge, 2012, Does supply chain integration mediate the relationships between product/process strategy and service performance? An empirical study, International Journal of Production Economics, 137, 250, 10.1016/j.ijpe.2012.02.005 · DOI
- Dubey, 2018, Big data analytics capability in supply chain agility: the moderating effect of organizational flexibility, Management Decision
- Urciuoli, 2017, Adapting supply chain management strategies to security–an analysis of existing gaps and recommendations for improvement, International Journal of Logistics Research and Applications, 20, 276, 10.1080/13675567.2016.1219703 · DOI
- van Eck, 2014, CitNetExplorer: A new software tool for analysing and visualizing citation networks, Journal of Informetrics, 8, 802, 10.1016/j.joi.2014.07.006 · DOI
- van Eck, 2010, A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS, Journal of the American Society for Information Science and Technology, 61, 2405, 10.1002/asi.21421 · DOI
- Eckstein, 2015, The performance impact of supply chain agility and supply chain adaptability: The moderating effect of product complexity, International Journal of Production Research, 53, 3028, 10.1080/00207543.2014.970707 · DOI · Paper page
- Eisenhardt, 2000, Dynamic capabilities: what are they?, Strategic Management Journal, 21, 1105, 10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E · DOI
- Ertz, 2018, Sustainability in the collaborative economy: A bibliometric analysis reveals emerging interest, Journal of Cleaner Production, 196, 1073, 10.1016/j.jclepro.2018.06.095 · DOI
- Felipe, 2016, An explanatory and predictive model for organizational agility, Journal of Business Research, 69, 4624, 10.1016/j.jbusres.2016.04.014 · DOI
- Fisher, 1997, What is the right supply chain for your product?, Harvard Business Review, 75, 105
- Galvagno, 2014, Theory of value co-creation: a systematic literature review, Managing Service Quality, 24, 643, 10.1108/MSQ-09-2013-0187 · DOI
- Ganguly, 2009, Evaluating agility in corporate enterprises, International Journal of Production Economics, 118, 410, 10.1016/j.ijpe.2008.12.009 · DOI
- Geng, 2020, Sustainable design for users: a literature review and bibliometric analysis, Environmental Science and Pollution Research, 27, 29824, 10.1007/s11356-020-09283-1 · DOI
- Giachetti, 2003, Analysis of the structural measures of flexibility and agility using a measurement theoretical framework, International Journal of Production Economics, 86, 47, 10.1016/S0925-5273(03)00004-5 · DOI
- Gligor, 2014, The role of demand management in achieving supply chain agility, Supply Chain Management: An International Journal, 19, 577, 10.1108/SCM-10-2013-0363 · DOI
- Gligor, 2015, Performance outcomes of supply chain agility: When should you be agile?, Journal of Operations Management, 33–34, 71, 10.1016/j.jom.2014.10.008 · DOI
- Gligor, 2014, The road to supply chain agility: an RBV perspective on the role of logistics capabilities, The International Journal of Logistics Management, 25, 160, 10.1108/IJLM-07-2012-0062 · DOI
- Gligor, 2012, Understanding the role of logistics capabilities in achieving supply chain agility: A systematic literature review, Supply Chain Management: An International Journal, 17, 438, 10.1108/13598541211246594 · DOI
- Gligor, 2016, An exploration of the strategic antecedents of firm supply chain agility: The role of a firm's orientations, International Journal of Production Economics, 179, 24, 10.1016/j.ijpe.2016.05.008 · DOI
- Gligor, 2013, A multidisciplinary approach to supply chain agility: Conceptualization and scale development, Journal of Business Logistics, 34, 94, 10.1111/jbl.12012 · DOI · Paper page
- Goldman, 1993, Management, technology and agility: the emergence of a new era in manufacturing, International Journal of Technology Management, 8, 18
- Grönroos, 2004, The relationship marketing process: communication, interaction, dialogue, value, Journal of Business & Industrial Marketing, 19, 99, 10.1108/08858620410523981 · DOI
- Gunasekaran, 1998, Agile Manufacturing: Enablers and an Implementation Framework, International Journal of Production Research, 26, 1223, 10.1080/002075498193291 · DOI
- Hasan, 2007, A study of barriers to agile manufacturing, International Journal of Agile Systems and Management, 2, 1, 10.1504/IJASM.2007.015679 · DOI
- Hazen, 2017, Enterprise architecture: A competence-based approach to achieving agility and firm performance, International Journal of Production Economics, 193, 566, 10.1016/j.ijpe.2017.08.022 · DOI
- Hillebrand, 2003, The relationship between internal and external cooperation: Literature review and propositions, Journal of Business Research, 56, 735, 10.1016/S0148-2963(01)00258-2 · DOI
- van Hoek, 2001, Measuring agile capabilities in the supply chain, International Journal of Operations & Production Management, 21, 126, 10.1108/01443570110358495 · DOI
- Huang, 2012, The role of IT in achieving operational agility: A case study of Haier, China, International Journal of Information Management, 32, 294, 10.1016/j.ijinfomgt.2012.02.001 · DOI
- Inman, 2011, Agile manufacturing: Relation to JIT, operational performance and firm performance, Journal of Operations Management, 29, 343, 10.1016/j.jom.2010.06.001 · DOI
- Ismail, 2006, A balanced approach to building agile supply chains, International Journal of Physical Distribution and Logistics Management, 36, 431, 10.1108/09600030610677384 · DOI
- Jain, 2008, A new approach for evaluating agility in supply chains using Fuzzy Association Rules Mining, Engineering Applications of Artificial Intelligence, 21, 367, 10.1016/j.engappai.2007.07.004 · DOI
- Jüttner, 2007, Demand chain management-integrating marketing and supply chain management, Industrial Marketing Management, 36, 377, 10.1016/j.indmarman.2005.10.003 · DOI
- Katayama, 1999, Agility, adaptability and leanness: A comparison of concepts and a study of practice, International Journal of Production Economics, 60, 43, 10.1016/S0925-5273(98)00129-7 · DOI
- Khalili-Damghani, 2012, A three-stage fuzzy DEA approach to measure performance of a serial process including JIT practices, agility indices, and goals in supply chains, International Journal of Services and Operations Management, 13, 147, 10.1504/IJSOM.2012.048828 · DOI
- Khalili-Damghani, 2011, A hybrid approach based on fuzzy DEA and simulation to measure the efficiency of agility in supply chain: Real case of dairy industry, International Journal of Management Science and Engineering Management, 6, 163, 10.1080/17509653.2011.10671160 · DOI
- Khalili-Damghani, 2013, A new fuzzy network data envelopment analysis model for measuring the performance of agility in supply chains, International Journal of Advanced Manufacturing Technology, 69, 291, 10.1007/s00170-013-5021-y · DOI
- Khan, 2009, Impact of agile supply chains' delivery practices on firms' performance: cluster analysis and validation, Supply Chain Management: An International Journal, 14, 41, 10.1108/13598540910927296 · DOI
- Khan, 2008, Strategic sourcing for supply chain agility and firms' performance: A study of Indian manufacturing sector, Management Decision, 46, 1508, 10.1108/00251740810920010 · DOI
- Kim, 2017, The impact of supplier innovativeness, information sharing and strategic sourcing on improving supply chain agility: Global supply chain perspective, International Journal of Production Economics, 187, 42, 10.1016/j.ijpe.2017.02.007 · DOI
- Koufteros, 2010, Organizational integration for product development: the effects on glitches, on-time execution of engineering change orders, and market success, Decision Sciences, 41, 49, 10.1111/j.1540-5915.2009.00259.x · DOI
- Kumar, 1995, A methodology for assessing time-based competitive advantage of manufacturing firms, International Journal of Operations & Production Management, 15, 36, 10.1108/01443579510080409 · DOI
- Larson, 2016, A review and future direction of agile, business intelligence, analytics and data science, International Journal of Information Management, 36, 700, 10.1016/j.ijinfomgt.2016.04.013 · DOI · Paper page
- Lee, 2004, The triple-A supply chain, Harvard Business Review, 82, 102
- Lee, 2015, Assessing business impacts of agility criterion and order allocation strategy in multi-criteria supplier selection, Expert Systems with Applications, 42, 1136, 10.1016/j.eswa.2014.08.041 · DOI
- Li, 2006, Enhancing agility by timely sharing of supply information, Supply Chain Management: An International Journal, 11, 425, 10.1108/13598540610682444 · DOI
- Lim, 2012, A multi-agent system using iterative bidding mechanism to enhance manufacturing agility, Expert Systems with Applications, 39, 8259, 10.1016/j.eswa.2012.01.160 · DOI
- Lin, 2006, Agility index in the supply chain, International Journal of Production Economics, 100, 285, 10.1016/j.ijpe.2004.11.013 · DOI
- Liu, 2013, The impact of IT capabilities on firm performance: The mediating roles of absorptive capacity and supply chain agility, Decision Support Systems, 54, 1452, 10.1016/j.dss.2012.12.016 · DOI
- Liu, 2015, Visualizing the intellectual structure and evolution of innovation systems research: A bibliometric analysis, Scientometrics, 103, 135, 10.1007/s11192-014-1517-y · DOI
- Lowry, 2016, Creating agile organizations through IT: The influence of internal IT service perceptions on IT service quality and IT agility, Journal of Strategic Information Systems, 25, 211, 10.1016/j.jsis.2016.05.002 · DOI
- Luo, 2009, Supplier selection in agile supply chains: An information-processing model and an illustration, Journal of Purchasing and Supply Management, 15, 249, 10.1016/j.pursup.2009.05.004 · DOI
- Mason-Jones, 1997, Information enrichment: designing the supply chain for competitive advantage, Supply Chain Management: An International Journal, 2, 137, 10.1108/13598549710191304 · DOI
- Mason-Jones, 1999, Total cycle time compression and the agile supply chain, International Journal of Production Economics, 62, 61, 10.1016/S0925-5273(98)00221-7 · DOI
- Masson, 2007, Managing complexity in agile global fashion industry supply chains, The International Journal of Logistics Management, 18, 238, 10.1108/09574090710816959 · DOI
- Matawale, 2013, Agility appraisement and identification of agile barriers in a supply chain, International Journal of Services and Operations Management, 16, 478, 10.1504/IJSOM.2013.057510 · DOI
- Matawale, 2016, Supplier/partner selection in agile supply chain: Application of vague set as a decision making tool, Benchmarking: An International Journal, 23, 866, 10.1108/BIJ-03-2014-0020 · DOI
- Mishra, 2014, Agility evaluation in fuzzy context: Influence of decision-makers’ risk bearing attitude, Benchmarking: An International Journal, 21, 1084, 10.1108/BIJ-04-2012-0026 · DOI
- Mishra, 2015, Application of fuzzy integrated MULTIMOORA method towards supplier/partner selection in agile supply chain, International Journal of Operational Research, 22, 466, 10.1504/IJOR.2015.068562 · DOI
- Mokadem, 2017, The classification of supplier selection criteria with respect to lean or agile manufacturing strategies, Journal of Manufacturing Technology Management, 28, 232, 10.1108/JMTM-04-2016-0050 · DOI
- Monahan, 2015, Sharing supply chain data in the digital era, MIT Sloan Management Review, 57, 95
- Moon, 2017, Key drivers of an agile, collaborative fast fashion supply chain: Dongdaemun fashion market, Journal of Fashion Marketing and Management: An International Journal, 21, 278, 10.1108/JFMM-07-2016-0060 · DOI
- Mostaghel, 2016, Innovation and technology for the elderly: Systematic literature review, Journal of Business Research, 69, 4896, 10.1016/j.jbusres.2016.04.049 · DOI
- Mussomeli, 2016, The rise of the digital supply network: Industry 4.0 enables the digital transformation of supply chains, Deloitte Insights
- Naylor, 1999, Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain, International Journal of Production Economics, 62, 107, 10.1016/S0925-5273(98)00223-0 · DOI
- Nemkova, 2017, The impact of agility on the market performance of born-global firms: An exploratory study of the “Tech City” innovation cluster, Journal of Business Research, 80, 257, 10.1016/j.jbusres.2017.04.017 · DOI
- Patel, 2017, Evaluation of agility in supply chains: A case study of an Indian manufacturing organization, Journal of Manufacturing Technology Management, 28, 212, 10.1108/JMTM-09-2016-0125 · DOI
- Perkmann, 2007, University-industry relationships and open innovation: Towards a research agenda, International Journal of Management Reviews, 9, 259, 10.1111/j.1468-2370.2007.00225.x · DOI
- Potdar, 2017, Performance analysis of agile manufacturing: A case study on an Indian auto component manufacturer, Measuring Business Excellence, 21, 117, 10.1108/MBE-04-2016-0024 · DOI
- Power, 2001, Critical success factors in agile supply chain management: An empirical study, International Journal of Physical Distribution and Logistics Management, 31, 247, 10.1108/09600030110394923 · DOI
- Prater, 2001, International supply chain agility-Tradeoffs between flexibility and uncertainty, International Journal of Operations & Production Management, 21, 823, 10.1108/01443570110390507 · DOI
- Qin, 2016, A categorical framework of manufacturing for industry 4.0 and beyond, Procedia Cirp, 52, 173, 10.1016/j.procir.2016.08.005 · DOI
- Qrunfleh, 2013, Lean and agile supply chain strategies and supply chain responsiveness: The role of strategic supplier partnership and postponement, Supply Chain Management: An International Journal, 18, 571, 10.1108/SCM-01-2013-0015 · DOI
- Radicchi, 2004, Defining and identifying communities in networks, Proceedings of the National Academy of Sciences of the United States of America, 101, 2658, 10.1073/pnas.0400054101 · DOI · Paper page
- Ralston, 2015, A structure–conduct–performance perspective of how strategic supply chain integration affects firm performance, Journal of Supply Chain Management, 51, 47, 10.1111/jscm.12064 · DOI
- Ravald, 1996, The value concept and relationship marketing, European Journal of Marketing, 30, 19, 10.1108/03090569610106626 · DOI · Paper page
- Ren, 2009, A decision-support framework for agile enterprise partnering, International Journal of Advanced Manufacturing Technology, 41, 180, 10.1007/s00170-008-1443-3 · DOI
- Richey, 2016, A global exploration of big data in the supply chain, International Journal of Physical Distribution and Logistics Management, 46, 710, 10.1108/IJPDLM-05-2016-0134 · DOI
- Roberts, 2012, Investigating firm's customer agility and firm performance: The importance of aligning sense and respond capabilities, Journal of Business Research, 65, 579, 10.1016/j.jbusres.2011.02.009 · DOI
- Routroy, 2015, Measurement of manufacturing agility: A case study, Measuring Business Excellence, 19, 1, 10.1108/MBE-06-2014-0018 · DOI
- Routroy, 2015, Performance analysis of agile supply chain, International Journal of Manufacturing Technology and Management, 29, 180, 10.1504/IJMTM.2015.069255 · DOI
- Sahu, 2016, Appraisal of partner enterprises under GTFNS environment: Agile supply chain, International Journal of Decision Support System Technology, 8, 1, 10.4018/IJDSST.2016070101 · DOI
- Samantra, 2013, Agility appraisal for integrated supply chain using generalized trapezoidal fuzzy numbers set, International Journal of Advanced Manufacturing Technology, 68, 1491, 10.1007/s00170-013-4937-6 · DOI
- Sambamurthy, 2003, Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms, MIS Quarterly, 24, 237, 10.2307/30036530 · DOI
- Samdantsoodol, 2017, Predicting the relationships between virtual enterprises and agility in supply chains, Expert Systems with Applications, 84, 58, 10.1016/j.eswa.2017.04.037 · DOI
- Sangari, 2015, Business intelligence competence, agile capabilities, and agile performance in supply chain: An empirical study, The International Journal of Logistics Management, 26, 356, 10.1108/IJLM-01-2013-0012 · DOI
- Sangari, 2015, Developing a practical evaluation framework for identifying critical factors to achieve supply chain agility, Measurement, 62, 205, 10.1016/j.measurement.2014.11.002 · DOI
- Sarkis, 2001, Benchmarking for agility, Benchmarking: An International Journal, 8, 88, 10.1108/14635770110389816 · DOI
- Sarkis, 2007, A strategic model for agile virtual enterprise partner selection, International Journal of Operations & Production Management, 27, 1213, 10.1108/01443570710830601 · DOI
- Schoenherr, 2015, Data science, predictive analytics, and big data in supply chain management: Current state and future potential, Journal of Business Logistics, 36, 120, 10.1111/jbl.12082 · DOI
- Shams, 2016, Capacity building for sustained competitive advantage: a conceptual Framework, Marketing Intelligence & Planning, 34, 671, 10.1108/MIP-08-2015-0161 · DOI
- Shin, 2015, Strategic agility of Korean small and medium enterprises and its influence on operational and firm performance, International Journal of Production Economics, 168, 181, 10.1016/j.ijpe.2015.06.015 · DOI · Paper page
- Siddhartha, 2016, Review of agile supply chain implementation frameworks, International Journal of Business Performance and Supply Chain Modelling, 8, 10.1504/IJBPSCM.2016.075999 · DOI
- Sieger, 2000, A metric for agility measurement in product development, IISE Transactions, 32, 637, 10.1080/07408170008967422 · DOI
- Slater, 1995, Market orientation and the learning organization, Journal of Marketing, 59, 63, 10.1177/002224299505900306 · DOI
- Storey, 2005, The barriers to customer responsive supply chain management, International Journal of Operations & Production Management, 25, 242, 10.1108/01443570510581853 · DOI
- Swafford, 2006, The antecedents of supply chain agility of a firm: Scale development and model testing, Journal of Operations Management, 24, 170, 10.1016/j.jom.2005.05.002 · DOI
- Swafford, 2008, Achieving supply chain agility through IT integration and flexibility, International Journal of Production Economics, 116, 288, 10.1016/j.ijpe.2008.09.002 · DOI
- Tarafdar, 2017, Agile supply chain strategy and supply chain performance: Complementary roles of supply chain practices and information systems capability for agility, International Journal of Production Research, 55, 925, 10.1080/00207543.2016.1203079 · DOI
- Teece, 1997, Dynamic capabilities and strategic management, Strategic Management Journal, 18, 509, 10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z · DOI · Paper page
- Tse, 2016, Embracing supply chain agility: An investigation in the electronics industry, Supply Chain Management: An International Journal, 21, 140, 10.1108/SCM-06-2015-0237 · DOI
- Tsourveloudis, 2002, On the measurement of enterprise agility, Journal of Intelligent and Robotic Systems, 33, 329, 10.1023/A:1015096909316 · DOI
- Um, 2017, Improving supply chain flexibility and agility through variety management, The International Journal of Logistics Management, 28, 464, 10.1108/IJLM-07-2015-0113 · DOI
- Um, 2017, The impact of supply chain agility on business performance in a high level customization environment, International Journal of Operational Research, 10, 10
- Vargo, 2008, Service-dominant logic: continuing the evolution, Journal of the Academy of Marketing Science, 36, 1, 10.1007/s11747-007-0069-6 · DOI · Paper page
- Vendrell-Herrero, 2017, Servitization, digitization and supply chain interdependency, Industrial Marketing Management, 60, 69, 10.1016/j.indmarman.2016.06.013 · DOI
- Vickery, 2010, Supply chain information technologies and organisational initiatives: Complementary versus independent effects on agility and firm performance, International Journal of Production Research, 48, 7025, 10.1080/00207540903348353 · DOI
- Vogel, 2020, A bibliometric review of the leadership development field: How we got here, where we are, and where we are headed, The Leadership Quarterly
- Waller, 2013, Data science, predictive analytics, and Big Data: a revolution that will transform supply chain design and management, Journal of Business Logistics, 34, 77, 10.1111/jbl.12010 · DOI · Paper page
- Weber, 2002, Measuring supply chain agility in the virtual organization, International Journal of Physical Distribution and Logistics Management, 32, 577, 10.1108/09600030210442595 · DOI
- Wu, 2009, A model for continuous improvement in supplier selection in agile supply chains, Knowledge and Process Management, 16, 85, 10.1002/kpm.327 · DOI
- Wu, 2010, Formulating partner selection criteria for agile supply chains: A Dempster–Shafer belief acceptability optimisation approach, International Journal of Production Economics, 125, 284, 10.1016/j.ijpe.2010.02.010 · DOI
- Wu, 2011, A literature review of decision-making models and approaches for partner selection in agile supply chains, Journal of Purchasing and Supply Management, 17, 256, 10.1016/j.pursup.2011.09.002 · DOI
- Wu, 2012, A dynamic feedback model for partner selection in agile supply chains, International Journal of Operations & Production Management, 32, 79, 10.1108/01443571211195745 · DOI
- Wu, 2014, Partner selection in agile supply chains: A fuzzy intelligent approach, Production Planning and Control, 25, 821, 10.1080/09537287.2013.766037 · DOI
- Wu, 2009, An analytic network process-mixed integer multi-objective programming model for partner selection in agile supply chains, Production Planning and Control, 20, 254, 10.1080/09537280902856047 · DOI
- Wu, 2017, Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure, International Journal of Production Economics, 190, 96, 10.1016/j.ijpe.2016.08.027 · DOI
- Wu, 2016, Smart supply chain management: a review and implications for future research, The International Journal of Logistics Management, 27, 395, 10.1108/IJLM-02-2014-0035 · DOI
- Yang, 2012, Boosting firm performance via enterprise agility and network structure, Management Decision, 50, 1022, 10.1108/00251741211238319 · DOI
- Yang, 2014, Supply chain agility: Securing performance for Chinese manufacturers, International Journal of Production Economics, 150, 104, 10.1016/j.ijpe.2013.12.018 · DOI
- Yang, 2002, Agility evaluation of mass customization product manufacturing, Journal of Material Processing Technology, 129, 640, 10.1016/S0924-0136(02)00674-X · DOI
- Yauch, 2011, Measuring agility as a performance outcome, Journal of Manufacturing Technology Management, 22, 384, 10.1108/17410381111112738 · DOI
- Yli-Ojanperä, 2018, Adapting an agile manufacturing concept to the reference architecture model industry 4.0: A survey and case study, Journal of Industrial Information Integration
- Yusuf, 2004, Agile supply chain capabilities: Determinants of competitive objectives, European Journal of Operational Research, 159, 10.1016/j.ejor.2003.08.022 · DOI
- Yusuf, 2014, A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry, International Journal of Production Economics, 147, 531, 10.1016/j.ijpe.2012.10.009 · DOI
- Yusuf, 2014, A study of the diffusion of agility and cluster competitiveness in the oil and gas supply chains, International Journal of Production Economics, 147, 498, 10.1016/j.ijpe.2013.04.010 · DOI
- Yusuf, 1999, Agile manufacturing: The drivers, concepts and attributes, International Journal of Production Economics, 62, 33, 10.1016/S0925-5273(98)00219-9 · DOI
- Zhang, 2011, Towards theory building in agile manufacturing strategies - Case studies of an agility taxonomy, International Journal of Production Economics, 131, 303, 10.1016/j.ijpe.2010.08.010 · DOI
- Zhang, 2000, A methodology for achieving agility in manufacturing organisations, International Journal of Operations and Production Management, 20, 496, 10.1108/01443570010314818 · DOI
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BackgroundInfluentialMANAJEMEN PENGETAHUAN DAN TRANSFORMASI DIGITAL DI ERA INDUSTRI 4.0
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“Digital skills and literacy are useful in a variety of industries and organizational sizes, particularly in tech-driven sectors such as IT, e-commerce, and digital marketing (Bachmann et al., 2024; Centobelli et al., 2020).”
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“As another important agile capability, digital transformation also has a positive impact on its formation (Centobelli et al., 2020).”
BackgroundGalvão, G. S., Penha, R., Vasconcelos, V. N. D. S. A., da Silva, L. F., & Gonçalves, M. L. D. A. (2024) · International Journal of Innovation · doi:10.5585/2024.26374 · Cited by 4
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Tamtam, F., & Tourabi, A. (2021) · EUREKA Physics and Engineering · doi:10.21303/2461-4262.2021.001949 · Cited by 4
Big data driven supply chains in SMEs: The role of industry digitalization
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“Consequently, as the volume of data generated from supply chain management activities has grown at a rapid rate (Tiwari et al., 2018), big data analytics is gaining momentum in supporting supply chain management activities (Centobelli et al., 2020; Dremel et al., 2017; Lamba & Singh, 2017).”
Ramos, E., Ali, Z., Hazen, B., Boone, C., Miranda, G., & Tamayo, A. (2025) · Transportation journal · doi:10.1002/tjo3.70007 · Cited by 3
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“Centobelli et al. (2020) added that companies operating in an agile environment often face risks such as supply chain instability and rapid technological change.”
BackgroundSustainability Trends in Textile and Clothing Industry of Bangladesh Before and Post Pandemic Era
Sadika, D. S., & Jiang, Z. (2024) · European Journal of Theoretical and Applied Sciences · doi:10.59324/ejtas.2024.2(2).36 · Cited by 3
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Ghabak, V., & Seetharaman, A. (2023) · International Conference on Computer and Automation Engineering · doi:10.1109/iccae56788.2023.10111340 · Cited by 8
“These methods have been applied in several commercial fields, including, among others, manufacturing, transportation, healthcare, and finance [6]; [7]; [8].”
MethodSheetal, Narang, D., & Singh, G. (2023) · Thunderbird International Business Review · doi:10.1002/tie.22338 · Cited by 3
Srivastava, G., & Bag, S. (2026) · Global Business and Organizational Excellence · doi:10.1002/joe.70027 · Cited by 2
A Survey on Blockchain for Bitcoin and Its Future Perspectives
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“At the same time, blockchain is also being increasingly used in Agile Supply Chain(ASC) Management [42] to allow users more transparency and improve supply chain visibility.”
MethodPredicting Partner’s Digital Transformation Based on Artificial Intelligence
He, C.-G., & Ding, C. H. Q. (2021) · Applied Sciences · doi:10.3390/app12010091 · Cited by 2
Supply Chain Strategy Trends: Lean, Agile, Leagile
Riska, & Munawaroh, M. (2024) · International Research Journal of Multidisciplinary Scope · doi:10.47857/irjms.2024.05i04.01156 · Cited by 2
“Viewing agility as a commercial paradigm underscores its critical role in the business world and highlights its contemporary relevance (14).”
BackgroundComparative analysis of digitalization programs for strategic industries of the Russian Federation
Shiboldenkov, V. A., Vanyashkina, A. Y., & Pakhomova, O. O. (2023) · AIP conference proceedings · doi:10.1063/5.0107742 · Cited by 7
Kurniawan, W., Kaihatu, T. S., & Sutrisno, T. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.103699 · Cited by 1
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Cabello, J., Haug, A., & Hvam, L. (2026) · International Journal of Production Research · doi:10.1080/00207543.2026.2625962 · Cited by 1
“Literature has long argued for a switch from rigid processes to agile supply chains (Al Humdan et al. 2020; Christopher 2000; Shashi et al. 2020).”
Wang, L.-H., Li, F.-A., & Liu, Z.-H. (2025) · Applied Economics · doi:10.1080/00036846.2025.2597471
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Schültken, R., Kokozinski, S., & Bode, C. (2025) · Industrial Marketing Management · doi:10.1016/j.indmarman.2025.02.016 · Cited by 2
“Recent studies have primarily focused on supply chain agility (Centobelli et al., 2020; Müller et al., 2023; Zhang et al., 2023) and agility as a performance metric, measured by time-to-market and responsiveness (Narayanan et al., 2015).”
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“Research has highlighted the importance of innovation in ensuring the sustainability of creative startups (Shashi et al., 2020).”
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“Anvari (2021) all obstacles make the supply chain (SC) ineffective, unstable, unable to adapt, and shaken (S. Azevedo et al., 2013; Centobelli et al., 2020; Lotfi & Saghiri, 2018).”
BackgroundAgile Management in Health Professions Education with Respect to Waterfall Life Cycle
Javed, R., Fatima, F., Shabnam, N., Qamar, K., Fatima, S., & Gul, A. (2022) · Pakistan Armed Forces Medical Journal · doi:10.51253/pafmj.v72i3.7218 · Cited by 1
“Pak Armed Forces Med J 2022; 72(3): 908-912.”
BackgroundInfluentialThe Next “G” On ESG: The Strategic Thinking of Businesses Towards Supply Chain Fraud
Sariannidis, N., Ragazou, K., Passas, I., & Garefalakis, A. (2021) · doi:10.21203/rs.3.rs-1124675/v1 · Cited by 1
Qadir, F. (2021) · The Asian Bulletin of Big Data Management · doi:10.62019/abbdm.v1i1.14 · Cited by 1
“Findings obtained in this research are consistent to the Centobelli et al. (2020) study, which argues that significant benefits are gained through BDPA in the form of supply chain efficiencies and cost reduction, quick response to environment changes, enhanced operations planning and sales…”
ResultZhang, Q.-S., Wang, M.-Y., Feng, T.-W., & Zhao, Y. (2026) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2026.101063 · Cited by 1
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Shashi, S., Singh, R., Centobelli, P., & Cerchione, R. (2021) · Advances in electronic commerce (AEC) book series/Advances in electronic commerce series · doi:10.4018/978-1-7998-7545-1.ch011 · Cited by 3
Self-citationExamining Virtual Classroom Platforms in Hospitality Education
Ghosh, P., & Jhamb, D. (2021) · Advances in electronic commerce (AEC) book series/Advances in electronic commerce series · doi:10.4018/978-1-7998-7545-1.ch019 · Cited by 2
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Radke, A., Wuest, T., & Romero, D. (2021) · Advances in Production Management Systems · doi:10.1007/978-3-030-85902-2_2 · Cited by 1
Data assets and supply chain digitalization: A production factor perspective
Lv, J., Cui, Y., Ma, X., & Yang, T. (2026) · Global Finance Journal · doi:10.1016/j.gfj.2026.101324
Chen, X., & Lin, Z. (2026) · International Journal of Finance & Economics · doi:10.1002/ijfe.70321
Gadekah, S. B. D., Moore, I. E., & Adjei, W. S. (2026) · Journal of Accounts and Finance · doi:10.69739/jaf.v1i2.2448
Pillai, K. G., Gligor, D. M., & Feizabadi, J. (2026) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2026.2735930
Kaura, S., Singh, M., & Rathi, R. (2026) · Benchmarking : An International Journal · doi:10.1108/bij-03-2026-0160
Sajwani, Z. A., Bashir, H. A., & Aydın, R. (2026) · Logistics · doi:10.3390/logistics10070158
“Shashi et al. [66] provide a comprehensive review of SC agility to describe and analyze how technology is addressed in the literature, while Susanty et al. [67] suggest that greater technological capability significantly and positively influences organizational agility.”
Bui, M., & Tran, T. (2026) · SAGE Open · doi:10.1177/21582440261431630
Hong, J., Fuying, Q., Li, B., & Tay, R. (2026) · Journal of Business and Industrial Marketing · doi:10.1108/jbim-04-2025-0391 · Cited by 1
DIGITAL SUPPLY CHAIN TRANSFORMATION IN SAUDI INDUSTRIAL MANUFACTURING UNDER VISION 2030
Miskini, M. S. (2026) · Veredas do Direito · doi:10.18623/rvd.v23.6678
Silva, J. F., & Leite, M. S. A. (2026) · Computers & security · doi:10.1016/j.cose.2026.105031
Ali, A., Ali, A., Abdul, Q., & Ali, Z. (2026) · Business Strategy & Development · doi:10.1002/bsd2.70350
Digital Transformation in Supply Chain Management: A Bibliometric Analysis
Zhang, L., Rui, A.-W., Chen, Z., & Banihashemi, S. (2026) · Strategic Business Research · doi:10.1016/j.sbr.2026.100144
Chica, Y. L. E., Vera, C. A. J., & Gómez, D. M. (2025) · Revista Multidisciplinar Epistemología de las Ciencias · doi:10.71112/s6e6s531
السباعي, ا. م. ا., عويس, م. ز. ع., & عبية, ح. م. م. ا. (2025) · المجلة العلمية للبحوث والدراسات التجارية · doi:10.21608/sjrbs.2025.292230.1692
“(Shashi et al, 2020) define supply chain flexibility as the reason why, where the supply chain exists in an uncertain environment, many organizations have adopted supply chain flexibility to develop adaptive change to satisfy market requirements so that they can achieve competitive advantage and…”
The Development of The Situational Judgement Test (SJT): Workforce Agility
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“…such as workforce agility or agile workforce (Alavi, 2016; Alavi et al., 2014; Breu et al., 2001; Petermann & Zacher, 2022) or specific focus such as agile software and development (Gupta et al., 2019; Misra et al., 2012) and agile supply chain (Shashi et al., 2020; Tarafdar & Qrunfleh, 2016).”
Ogunkoya, O., Soremekun, O., Hassan, B., Adelesi, O., & Ogundele, M. A. (2025) · Development Management · doi:10.63341/devt/1.2025.34
“The idea of sup - ply chain flexibility, according to P. Centobelli et al .”
Dirawi, A. N. M. A., Khudari, M., & Daud, S. (2024) · Journal of Ecohumanism · doi:10.62754/joe.v3i8.5489
“Thus, Panizzon et al. (2020) and Shashi et al. (2020) highlight the need for more studies on leagility in different organizational settings; a call to which the present article responds.”
Saputra, N. (2024) · International Conference on Information Management and Technology · doi:10.1109/icimtech63123.2024.10780927
“However, implementing supply chain agility can pose some challenges, such as data management, collaboration and communication, resistance to change, technology and infrastructure, and logistics operations [5], [10], [11].”
Mshindi, A. R. (2024) · African Journal of Management Research · doi:10.4314/ajmr.v30i1.3
“Similarly, digitalization has nurtured a number of network, process and system integrations that enhance business (Shashi et al., 2020).”
BackgroundCross-Cultural Management: The Case of Taiwan-Funded Businesses Entering the Mainland Chinese Market
Lee, C.-W., Hsu, H.-H., & Hu, Y.-T. (2023) · Advances in Management and Applied Economics · doi:10.47260/amae/13611
“…Taiwanese businesses advance their internationalization by reducing management errors, developing efficient organizational and personnel management systems, and enabling them to consider cultural differences in various regions appropriately through a series of studies (Centobelli, et al., 2020).”
Agile and Lean Supply Chain: Research Trends (2017-2021)
Ekren, G. (2022) · Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi · doi:10.17494/ogusbd.1181826
SUPPLY CHAIN MEASUREMENT IN THE INDUSTRY 4.0 USING BALANCED SCORECARD
Sardjono, W., Johan, G., Utomo, H., Sukardi, S., & Rahmasari, A. (2021) · International Conference on Industrial Technology · doi:10.1145/3512576.3512598
“(3) Measuring internal business processes, (4) Learning and growth perspectives for future business efficiency [20].”
BackgroundPoblete, L., Sutton-Brady, C., & Merkert, R. (2026) · Journal of business research · doi:10.1016/j.jbusres.2026.116327
“Earlier research in supply chain management emphasizes the importance of relational collaboration in building agile supply chains (Christopher, 2000; Centobelli et al., 2020).”
Singh, R., Singh, R. P., Nirsanametla, Y., Prasad, B., Shrivastava, A., Srivastava, A. P., & Srivastava, A. (2024) · E3S Web of Conferences · doi:10.1051/e3sconf/202451101007
RetractedEcofriendly Approaches in nanomaterial synthesis for sustainable healthcare applications
Verma, R., Kumar, G., Upadhyay, V. V., Ratur, A., Rao, A., Kumar, A., & Boob, N. S. (2024) · E3S Web of Conferences · doi:10.1051/e3sconf/202451101024
RetractedResearch on Strategic Management in Digital Transformation: A Systematic Review
Ran, S. H. (2024) · E-Commerce Letters · doi:10.12677/ecl.2024.133830
Agile Supply Chain Management Theories, Empirical Data, and Future Directions
Berthot, B. D. (2023) · InSITE Conference · doi:10.28945/5153
“, comprehensive material search, descriptive analysis and classification, theoretical and content analysis) attempts to replicate that of Shashi et al. (2020).”
BackgroundInfluential
Metadata
- Authors
- Shashi, Centobelli, P., Cerchione, R., & Ertz, M.
- Affiliations
- University of Naples Federico II (IT)
- Parthenope University of Naples (IT)
- Université du Québec à Chicoutimi (CA)
- Corresponding author
- Centobelli, Piera
- Venue
- Industrial Marketing Management
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 90
- Pages
- 324-345
- ISSN
- 0019-8501 (ISSN-L)
- OpenAlex
- W3048809289
- Cited by
- 210
- References
- 0
- Citations by year
- 2026: 12 · 2025: 27 · 2024: 57 · 2023: 34 · 2022: 44 · 2021: 33 · 2020: 3
- FWCI
- 32.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Industrial Marketing Management (publishedVersion)
- CINECA IRIS Institutial research information system (Parthenope University of Naples) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Collaboration in agile enterprises
- Social Sciences › Decision Sciences › Management Science and Operations Research › Supply Chain and Inventory Management
- Keywords
- agile supply chain management, digitization, digital transformation, supply chain technology, demand chain management, nomological network, research agenda, supply chain performance, technology adoption
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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