RESEARCH ARTICLE
Use of Supply Chain Analytics Technologies in Peru's Agri-Food Supply Chain: Supporting Agility and Supply Chain Cost Reduction
Edgar Ramos,
Zulqurnain Ali,
Benjamin Hazen,
Christopher Boone,
Ginger Miranda,
Angello Tamayo,
Corresponding Author
Edgar Ramos
Industrial Engineering Program, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
Correspondence:
Edgar Ramos ([email protected])
Search for more papers by this authorZulqurnain Ali
School of Economics and Management, Zhejiang University of Science and Technology, Hangzhou, China
Search for more papers by this authorBenjamin Hazen
Department of MIS, Operations and Supply Chain Management, Business Analytics School of Business Administration, University of Dayton, Dayton, Ohio, USA
Search for more papers by this authorChristopher Boone
Department of Marketing, Quantitative Analysis, and Business Law College of Business Administration, Mississippi State University, Starkville, Mississippi, USA
Search for more papers by this authorGinger Miranda
Industrial Engineering Program, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
Search for more papers by this authorAngello Tamayo
Industrial Engineering Program, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
Search for more papers by this authorEdgar Ramos,
Zulqurnain Ali,
Benjamin Hazen,
Christopher Boone,
Ginger Miranda,
Angello Tamayo,
Corresponding Author
Edgar Ramos
Industrial Engineering Program, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
Correspondence:
Edgar Ramos ([email protected])
Search for more papers by this authorZulqurnain Ali
School of Economics and Management, Zhejiang University of Science and Technology, Hangzhou, China
Search for more papers by this authorBenjamin Hazen
Department of MIS, Operations and Supply Chain Management, Business Analytics School of Business Administration, University of Dayton, Dayton, Ohio, USA
Search for more papers by this authorChristopher Boone
Department of Marketing, Quantitative Analysis, and Business Law College of Business Administration, Mississippi State University, Starkville, Mississippi, USA
Search for more papers by this authorGinger Miranda
Industrial Engineering Program, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
Search for more papers by this authorAngello Tamayo
Industrial Engineering Program, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
Search for more papers by this authorFirst published: 12 April 2025
ABSTRACT
This research examines how the use of supply chain analytics technologies (USCAT) can increase financial performance by enabling agility and quality management capabilities in the Peruvian coffee supply chain. Using an empirical research approach, we theorize and test a model based on the dynamic capabilities view. We collected survey data from supply chain management experts working in the Peruvian coffee supply chain and used covariance-based structural equation modeling to test a series of hypotheses. This research supports the relationship between USCAT and improvements in supply chain agility, quality focus, and supply chain cost performance for agri-food supply chains (AFSC). These findings offer valuable insights for agri-food businesses, especially in developing economies, suggesting that strategic technological investment can enhance competitiveness and financial sustainability. Stakeholders (scholars and managers alike) operating in developing areas can use the results to motivate and leverage the value of readying themselves and their supply chain partners to participate in current and future supply chain technology-enabled business opportunities. This research contributes to the literature by providing a unique perspective on the impact of new supply chain technologies in emerging markets, specifically within the Peruvian agri-food sector, and extends the discourse on technology adoption in global agri-food supply chains.
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References
- Al Humdan, E., Y. Shi, M. Behina, M. M. H. Chowdhury, and A. K. M. S. Mahmud. 2023. “The Role of Innovativeness and Supply Chain Agility in the Australian Service Industry: A Dynamic Capability Perspective.” International Journal of Physical Distribution and Logistics Management 53, no. 11: 1–25. https://doi.org/10.1108/IJPDLM-03-2022-0062.
- Al Humdan, E., Y. Shi, and M. Behnia. 2020. “Supply Chain Agility: A Systematic Review of Definitions, Enablers and Performance Implications.” International Journal of Physical Distribution and Logistics Management 50, no. 2: 287–312. https://doi.org/10.1108/IJPDLM-06-2019-0192.
- Altay, N., A. Gunasekaran, R. Dubey, and S. J. Childe. 2018. “Agility and Resilience as Antecedents of Supply Chain Performance Under Moderating Effects of Organizational Culture Within the Humanitarian Setting: A Dynamic Capability View.” Production Planning & Control 29, no. 14: 1158–1174. https://doi.org/10.1080/09537287.2018.1542174.
- Ambulkar, S., P. M. Ralston, M. Polyviou, and N. Sanders. 2023. “Frequent Supply Chain Disruptions and Firm Performance: The Moderating Role of Exploitation, Exploration and Supply Chain Ambidexterity.” International Journal of Physical Distribution and Logistics Management 53, no. 10: 1261–1285. https://doi.org/10.1108/IJPDLM-01-2023-0051.
- Aslam, H., C. Blome, S. Roscoe, and T. M. Azhar. 2020. “Determining the Antecedents of Dynamic Supply Chain Capabilities.” Supply Chain Management 25, no. 4: 427–442. https://doi.org/10.1108/SCM-02-2019-0074.
- Baah, C., D. Opoku Agyeman, I. S. K. Acquah, et al. 2021. “Effect of Information Sharing in Supply Chains: Understanding the Roles of Supply Chain Visibility, Agility, Collaboration on Supply Chain Performance.” Benchmarking 29, no. 2: 434–455. https://doi.org/10.1108/BIJ-08-2020-0453.
- Barbosa, M. W. 2021. “Uncovering Research Streams on Agri-Food Supply Chain Management: A Bibliometric Study.” Global Food Security 28, no. January: 100517. https://doi.org/10.1016/j.gfs.2021.100517.
10.1016/j.gfs.2021.100517 Google Scholar
- Barlette, Y., and P. Baillette. 2022. “Big Data Analytics in Turbulent Contexts: Towards Organizational Change for Enhanced Agility.” Production Planning and Control 33, no. 2–3: 105–122. https://doi.org/10.1080/09537287.2020.1810755.
- Barrett, H., and D. C. Rose. 2022. “Perceptions of the Fourth Agricultural Revolution: What's in, What's out, and What Consequences Are Anticipated?” Sociologia Ruralis 62, no. 2: 162–189. https://doi.org/10.1111/soru.12324.
- Blome, C., T. Schoenherr, D. Rexhausen, D. Blome, T. Schoenherr, and C. Rexhausen. 2013. “Antecedents and Enablers of Supply Chain Agility and Its Effect on Performance: A Dynamic Capabilities Perspective.” International Journal of Production Research 51, no. 4: 1295–1318. https://doi.org/10.1080/00207543.2012.728011.
- Bollen, K. A. 2002. “Latent Variable in Psychology and Social Sciences.” Annual Review of Psychology 53: 605–634.
- Brusset, X. 2016. “Does Supply Chain Visibility Enhance Agility?” International Journal of Production Economics 171: 46–59. https://doi.org/10.1016/j.ijpe.2015.10.005.
- Cai, S., M. Jun, and Z. Yang. 2010. “Implementing Supply Chain Information Integration in China: The Role of Institutional Forces and Trust.” Journal of Operations Management 28, no. 3: 257–268. https://doi.org/10.1016/j.jom.2009.11.005.
- Calvo, J., J. L. Del Olmo, and V. Berlanga. 2020. “Supply Chain Resilience and Agility: A Theoretical Literature Review.” International Journal of Supply Chain and Operations Resilience 4, no. 1: 37. https://doi.org/10.1504/IJSCOR.2020.105950.
10.1504/IJSCOR.2020.105950 Google Scholar
- Cannas, R. 2021. “Exploring Digital Transformation and Dynamic Capabilities in Agrifood SMEs.” Journal of Small Business Management 61, no. 4: 1611–1637. https://doi.org/10.1080/00472778.2020.1844494.
- Cesco, S., P. Sambo, M. Borin, B. Basso, G. Orzes, and F. Mazzetto. 2023. “Smart Agriculture and Digital Twins: Applications and Challenges in a Vision of Sustainability.” European Journal of Agronomy 146: 126809.
- Chandak, S., and N. Kumar. 2020. “Development of a Framework to Improve Supply Chain Performance Through e-Business and Sustainability Enablers: An Emerging Economy Perspective.” Management of Environmental Quality: An International Journal 31, no. 5: 1045–1070. https://doi.org/10.1108/MEQ-07-2019-0150.
10.1108/MEQ-07-2019-0150 Google Scholar
- Cherian, T. M., D. Mathivathanan, C. J. Arun SJ, M. Ramasubramaniam, and S. Alathur. 2023. “Influence of Supply Chain Resilience, Information Technology Capabilities and Agility on Cost and Delivery Performance in Construction Supply Chains: an Indian Perspective.” International Journal of Logistics Management 34, no. 4: 1050–1076.
- Collins, J. D., W. J. Worthington, P. M. Reyes, and M. Romero. 2010. “Knowledge Management, Supply Chain Technologies, and Firm Performance.” Management Research Review 33, no. 10: 947–960. https://doi.org/10.1108/01409171011083969.
10.1108/01409171011083969 Google Scholar
- Contreras-Medina, D. I., L. M. Contreras-Medina, J. Pardo-Nuñez, L. A. Olvera-Vargas, and C. M. Rodriguez-Peralta. 2020. “Roadmapping as a Driver for Knowledge Creation: A Proposal for Improving Sustainable Practices in the Coffee Supply Chain from Chiapas, Mexico, Using Emerging Technologies.” Sustainability 12, no. 14: 5817.
- Coyle, J. J., K. Ruamsook, and E. J. Symon. 2016. “Weatherproofing Supply Chains: Enable Intelligent Preparedness With Data Analytics.” Transportation Journal 55, no. 2: 190–207. https://doi.org/10.5325/transportationj.55.2.0190.
- Das, S., A. Barve, N. C. Sahu, and K. Muduli. 2023. “Enabling Artificial Intelligence for Sustainable Food Grain Supply Chains: An Agri 5.0 and Circular Economy Perspective.” Operations Management Research 16, no. 4: 2104–2124. https://doi.org/10.1007/s12063-023-00390-z.
- De Matos, A. L. T., S. R. I. Pires, and M. Vivaldini. 2017. “Product Development: The Supply Chain Management Perspective.” International Journal of Business Innovation and Research 13, no. 1: 52–67. https://doi.org/10.1504/IJBIR.2017.083265.
10.1504/IJBIR.2017.083265 Google Scholar
- DeGroote, S. E., and T. G. Marx. 2013. “The Impact of IT on Supply Chain Agility and Firm Performance: An Empirical Investigation.” International Journal of Information Management 33, no. 6: 909–916. https://doi.org/10.1016/j.ijinfomgt.2013.09.001.
- Devaraj, S., L. Krajewski, and J. C. Wei. 2007. “Impact of eBusiness Technologies on Operational Performance: The Role of Production Information Integration in the Supply Chain.” Journal of Operations Management 25, no. 6: 1199–1216. https://doi.org/10.1016/j.jom.2007.01.002.
- Dos Santos, B. L. 1991. “Justifying Investments in new Information Technologies.” Journal of Management Information Systems 7, no. 4: 71–89. https://doi.org/10.1080/07421222.1991.11517904.
10.1080/07421222.1991.11517904 Google Scholar
- Dubey, R., N. Altay, A. Gunasekaran, C. Blome, T. Papadopoulos, and S. J. Childe. 2018. “Supply Chain Agility, Adaptability and Alignment: Empirical Evidence From the Indian Auto Components Industry.” International Journal of Operations & Production Management 38, no. 1: 129–148. https://doi.org/10.1108/IJOPM-04-2016-0173.
- Dubey, R., A. Gunasekaran, and S. J. Childe. 2019. “Big Data Analytics Capability in Supply Chain Agility: The Moderating Effect of Organizational Flexibility.” Management Decision 57, no. 8: 2092–2112. https://doi.org/10.1108/MD-01-2018-0119.
- FAO. 2020. “The State of Agricultural Commodity Markets 2020. FAO.” https://doi.org/10.4060/cb0665en.
10.4060/cb0665en Google Scholar
- FAO. 2021. “The State of Food and Agriculture 2021. In the State of Agriculture Food and. FAO.” https://doi.org/10.4060/cb4476en.
10.4060/cb4476en Google Scholar
- FAO. 2022. “Markets and Trade Coffee.” https://www.fao.org/markets-and-trade/commodities/coffee/en/.
- Foster, S. T. 2008. “Towards an Understanding of Supply Chain Quality Management.” Journal of Operations Management 26, no. 4: 461–467. https://doi.org/10.1016/j.jom.2007.06.003.
- Frederico, G. F., V. Kumar, J. A. Garza-Reyes, A. Kumar, and R. Agrawal. 2023. “Impact of I4. 0 Technologies and Their Interoperability on Performance: Future Pathways for Supply Chain Resilience Post-COVID-19.” International Journal of Logistics Management 34, no. 4: 1020–1049.
- Geyi, D. G., Y. Yusuf, M. S. Menhat, T. Abubakar, and N. J. Ogbuke. 2020. “Agile Capabilities as Necessary Conditions for Maximising Sustainable Supply Chain Performance: An Empirical Investigation.” International Journal of Production Economics 222, no. 4: 107501. https://doi.org/10.1016/j.ijpe.2019.09.022.
10.1016/j.ijpe.2019.09.022 Google Scholar
- Gligor, D., M. Holcomb, M. J. Maloni, and E. Davis-Sramek. 2019. “Achieving Financial Performance in Uncertain Times: Leveraging Supply Chain Agility.” Transportation Journal 58, no. 4: 247–279. https://doi.org/10.5325/transportationj.58.4.0247.
- Gligor, D. M., C. L. Esmark, and M. C. Holcomb. 2015. “Performance Outcomes of Supply Chain Agility: When Should You Be Agile?” Journal of Operations Management 33–34, no. 1: 71–82. https://doi.org/10.1016/j.jom.2014.10.008.
- Gligor, D. M., M. C. Holcomb, and J. Feizabadi. 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: 24–34. https://doi.org/10.1016/j.ijpe.2016.05.008.
- Guido, Z., C. Knudson, and K. Rhiney. 2020. “Will COVID-19 Be One Shock Too Many for Smallholder Coffee Livelihoods?” World Development 136: 105172. https://doi.org/10.1016/j.worlddev.2020.105172.
- Gunasekaran, A., C. Patel, and R. E. McGaughey. 2004. “A Framework for Supply Chain Performance Measurement.” International Journal of Production Economics 87, no. 3: 333–347. https://doi.org/10.1016/j.ijpe.2003.08.003.
- Gunasekaran, A., C. Patel, and E. Tirtiroglu. 2001. “Performance Measures and Metrics in a Supply Chain Environment.” International Journal of Operations & Production Management 21, no. 1/2: 71–87. https://doi.org/10.1108/01443570110358468.
- Gupta, S., V. A. Drave, S. Bag, and Z. Luo. 2019. “Leveraging Smart Supply Chain and Information System Agility for Supply Chain Flexibility.” Information Systems Frontiers 21: 547–564.
- Hair, J., H. Tomas, C. Ringle, and M. Sarstedt. 2017. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd ed. SAGE Publications Inc. https://doi.org/10.1080/1743727x.2015.1005806.
- Hair, J. F., Jr., R. E. Anderson, R. L. Tatham, and W. C. Black. 1998. Multivariate Data Analysis. 5th ed. Prentice Hall.
- Hamta, N., M. Akbarpour Shirazi, S. M. T. Fatemi Ghomi, and S. Behdad. 2015. “Supply Chain Network Optimization Considering Assembly Line Balancing and Demand Uncertainty.” International Journal of Production Research 53, no. 10: 2970–2994. https://doi.org/10.1080/00207543.2014.978030.
- Hayes, A. F., and K. J. Preacher. 2010. “Quantifying and Testing Indirect Effects in Simple Mediation Models When the Constituent Paths Are Nonlinear.” Multivariate Behavioral Research 45, no. 4: 627–660. https://doi.org/10.1080/00273171.2010.498290.
- Henseler, J., C. M. Ringle, and M. Sarstedt. 2015. “A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling.” Journal of the Academy of Marketing Science 43, no. 1: 115–135. https://doi.org/10.1007/s11747-014-0403-8.
- Hoang, T. T., J. E. Bell, and T. J. Goldsby. 2023. “Making Supply Chain Traceability Strategic: Insights From the Food Industry.” International Journal of Physical Distribution and Logistics Management 53, no. 9: 913–945. https://doi.org/10.1108/IJPDLM-03-2022-0064.
- Hong, J., Y. Liao, Y. Zhang, and Z. Yu. 2019. “The Effect of Supply Chain Quality Management Practices and Capabilities on Operational and Innovation Performance: Evidence From Chinese Manufacturers.” International Journal of Production Economics 212: 227–235. https://doi.org/10.1016/j.ijpe.2019.01.036.
- Hu, J. Y., J. Zhang, M. Mei, W. M. Yang, and Q. Shen. 2019. “Quality Control of a Four-Echelon Agri-Food Supply Chain With Multiple Strategies.” Information Processing in Agriculture 6, no. 4: 425–437. https://doi.org/10.1016/j.inpa.2019.05.002.
10.1016/j.inpa.2019.05.002 Google Scholar
- Hu, L. T., and P. M. Bentler. 1999. “Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives.” Structural Equation Modeling 6, no. 1: 1–55. https://doi.org/10.1080/10705519909540118.
- Huo, B., Z. Han, and D. Prajogo. 2016. “Antecedents and Consequences of Supply Chain Information Integration: A Resource-Based View.” Supply Chain Management 21, no. 6: 661–677. https://doi.org/10.1108/SCM-08-2015-0336.
- Huo, B., Y. Qi, Z. Wang, and X. Zhao. 2014a. “The Impact of Supply Chain Integration on Firm Performance: The Moderating Role of Competitive Strategy.” Supply Chain Management 19, no. 4: 369–384. https://doi.org/10.1108/SCM-03-2013-0096.
- Huo, B., X. Zhao, and F. Lai. 2014b. “Supply Chain Quality Integration: Antecedents and Consequences.” IEEE Transactions on Engineering Management 61, no. 1: 38–51. https://doi.org/10.1109/TEM.2013.2278543.
- ICO—International Coffee Organization. 2020. “Impact of covid-19 on the global coffee sector: Survey of ICO exporting Members (Issue 3)”.
- International Coffee Organization. 2022. “Historical Data on the Global Coffee Trade.” https://www.ico.org/new_historical.asp.
- Irfan, M., M. Wang, and N. Akhtar. 2019. “Impact of IT Capabilities on Supply Chain Capabilities and Organizational Agility: A Dynamic Capability View.” Operations Management Research 12, no. 3–4: 113–128. https://doi.org/10.1007/s12063-019-00142-y.
- Iyer, K. N. S., P. Srivastava, and M. Srinivasan. 2019. “Performance Implications of Lean in Supply Chains: Exploring the Role of Learning Orientation and Relational Resources.” International Journal of Production Economics 216: 94–104. https://doi.org/10.1016/j.ijpe.2019.04.012.
- Jang, W., and C. M. Klein. 2011. “Supply Chain Models for Small Agricultural Enterprises.” Annals of Operations Research 190, no. 1: 359–374. https://doi.org/10.1007/s10479-009-0521-8.
- Joshi, S., and M. Sharma. 2022. “Digital Technologies (DT) Adoption in Agri-Food Supply Chains Amidst COVID-19: An Approach Towards Food Security Concerns in Developing Countries.” Journal of Global Operations and Strategic Sourcing 15, no. 2: 262–282. https://doi.org/10.1108/JGOSS-02-2021-0014.
- Kayikci, Y., N. Subramanian, M. Dora, and M. S. Bhatia. 2022. “Food Supply Chain in the Era of Industry 4.0: Blockchain Technology Implementation Opportunities and Impediments from the Perspective of People, Process, Performance, and Technology.” Production planning & control 33, no. 2-3: 301–321.
- Keogh, J. G., A. Rejeb, N. Khan, K. Dean, and K. J. Hand. 2020. “ Data and Food Supply Chain.” In Building the Future of Food Safety Technology, 145–178. Elsevier. https://doi.org/10.1016/b978-0-12-818956-6.00007-5.
- Köhler, S., and M. Pizzol. 2020. “Technology Assessment of Blockchain-Based Technologies in the Food Supply Chain.” Journal of Cleaner Production 269: 122193. https://doi.org/10.1016/j.jclepro.2020.122193.
- Lee, S. M., and J. S. Rha. 2016. “Ambidextrous Supply Chain as a Dynamic Capability: Building a Resilient Supply Chain.” Management Decision 54, no. 1: 2–23. https://doi.org/10.1108/MD-12-2014-0674.
- Lees, N., P. Nuthall, and M. M. J. Wilson. 2020. “Relationship Quality and Supplier Performance in Food Supply Chains.” International Food and Agribusiness Management Review 23, no. 3: 425–445. https://doi.org/10.22434/IFAMR2019.0178.
- Lezoche, M., J. Hernandez, M. Del Mar, A. Diaz, H. Panetto, and J. Kacprzyk. 2020. “Agri-Food 4.0: A Survey of the Supply Chains and Technologies for the Future Agriculture.” Computers in Industry 117: 103187. https://doi.org/10.1016/j.compind.2020.103187.
- Li, X., Q. Wu, C. W. Holsapple, and T. Goldsby. 2017. “An Empirical Examination of Firm Financial Performance Along Dimensions of Supply Chain Resilience.” Management Research Review 40, no. 3: 254–269. https://doi.org/10.1108/MRR-02-2016-0030.
- Lin, C., W. S. Chow, C. N. Madu, C.-H. Kuei, and Y. Pei. 2005. “A Structural Equation Model of Supply Chain Quality Management and Organizational Performance.” International Journal of Production Economics 96, no. 3: 355–365. https://doi.org/10.1016/j.ijpe.2004.05.009.
- Lioutas, E. D., C. Charatsari, and M. De Rosa. 2021. “Digitalization of Agriculture: A Way to Solve the Food Problem or a Trolley Dilemma?” Technology in Society 67: 101744. https://doi.org/10.1016/j.techsoc.2021.101744.
- Liu, H., W. Ke, K. K. Wei, and Z. Hua. 2013. “The Impact of IT Capabilities on Firm Performance: The Mediating Roles of Absorptive Capacity and Supply Chain Agility.” Decision Support Systems 54, no. 3: 1452–1462. https://doi.org/10.1016/j.dss.2012.12.016.
- Macdonald, J. R., T. E. Porterfield, and S. E. Griffis. 2021. “Managing Supply Chain Disruption Recovery: The Role of Organizational Justice.” Transportation Journal 60, no. 4: 367–405. https://doi.org/10.5325/transportationj.60.4.0367.
- Mandal, S. 2019. “The Influence of Big Data Analytics Management Capabilities on Supply Chain Preparedness, Alertness and Agility.” Information Technology & People 32, no. 2: 297–318. https://doi.org/10.1108/ITP-11-2017-0386.
- Manzoor, U., S. A. Baig, M. Hashim, A. Sami, H.-U. Rehman, and I. Sajjad. 2022. “The Effect of Supply Chain Agility and Lean Practices on Operational Performance: A Resource-Based View and Dynamic Capabilities Perspective.” TQM Journal 34, no. 5: 1273–1297. https://doi.org/10.1108/TQM-01-2021-0006.
- Mao, H., S. Liu, and J. Zhang. 2015. “How the Effects of IT and Knowledge Capability on Organizational Agility Are Contingent on Environmental Uncertainty and Information Intensity.” Information Development 31, no. 4: 358–382. https://doi.org/10.1177/0266666913518059.
- Merkert, R., K. Hoberg, and K. Mahadevan. 2023. “Logistics and Supply Chain Superpowers and Skills for Survival in the ‘New Normal’ Globalized World.” Transportation Journal 62, no. 4: 369–396. https://doi.org/10.5325/transportationj.62.4.0369.
- MINAGRI. 2022. “Current Situation of Coffee in the Country.” https://www.midagri.gob.pe/portal/485-feria-scaa/10775-el-cafe-peruano.
- Murray, D. L., L. T. Raynolds, and P. L. Taylor. 2006. “The Future of Fair Trade Coffee: Dilemmas Facing Latin America's Small-Scale Producers.” Development in Practice 16, no. 2: 179–192. https://doi.org/10.1080/09614520600562397.
10.1080/09614520600562397 Google Scholar
- Nunnally, J. C. 1978. Psychometric Theory. 2nd ed. McGraw-Hill.
- Onggo, B. S., J. Panadero, C. G. Corlu, and A. A. Juan. 2019. “Agri-Food Supply Chains With Stochastic Demands: A Multi-Period Inventory Routing Problem With Perishable Products.” Simulation Modelling Practice and Theory 97, no. May: 101970. https://doi.org/10.1016/j.simpat.2019.101970.
10.1016/j.simpat.2019.101970 Google Scholar
- Papies, D., P. Ebbes, and H. J. Van Heerde. 2017. Addressing endogeneity in marketing models, 581–627. Advanced Methods for Modeling Markets. https://doi.org/10.1007/978-3-319-53469-5_18.
10.1007/978-3-319-53469-5_18 Google Scholar
- Perano, M., A. Cammarano, V. Varriale, C. Del Regno, F. Michelino, and M. Caputo. 2023. “Embracing Supply Chain Digitalization and Unphysicalization to Enhance Supply Chain Performance: A Conceptual Framework.” International Journal of Physical Distribution and Logistics Management 53, no. 5/6: 628–659. https://doi.org/10.1108/IJPDLM-06-2022-0201.
- Pfaff, Y. M. 2023. “Agility and Digitalization: Why Strategic Agility Is a Success Factor for Mastering Digitalization—Evidence From Industry 4.0 Implementations Across a Supply Chain.” International Journal of Physical Distribution and Logistics Management 53, no. 5–6: 660–684. https://doi.org/10.1108/IJPDLM-06-2022-0200.
- Podsakoff, P. M., S. B. MacKenzie, J. Y. Lee, and N. P. Podsakoff. 2003. “Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies.” Journal of Applied Psychology 88, no. 5: 879–903. https://doi.org/10.1037/0021-9010.88.5.879.
- Puška, A., S. Kozarević, and J. Okičić. 2020. “Investigating and Analyzing the Supply Chain Practices and Performance in Agro-Food Industry.” International Journal of Management Science and Engineering Management 15, no. 1: 9–16. https://doi.org/10.1080/17509653.2019.1582367.
- Raj, A., V. Sharma, D. M. Shukla, and P. Sharma. 2023. “Advancing Supply Chain Management from Agility to Hyperagility: A Dynamic Capability View.” Annals of Operations Research: 1–32.
- Ramos, E., A. S. Patrucco, and M. Chavez. 2023. “Dynamic Capabilities in the “New Normal”: A Study of Organizational Flexibility, Integration and Agility in the Peruvian Coffee Supply Chain.” Supply Chain Management: An International Journal 28, no. 1: 55–73. https://doi.org/10.1108/SCM-12-2020-0620.
- Rejeb, A., J. G. Keogh, and K. Rejeb. 2022. “Big Data in the Food Supply Chain: A Literature Review.” Journal of Data, Information and Management 4, no. 1: 33–47. https://doi.org/10.1007/s42488-021-00064-0.
10.1007/s42488-021-00064-0 Google Scholar
- Rejeb, A., K. Rejeb, A. Abdollahi, S. Zailani, M. Iranmanesh, and M. Ghobakhloo. 2021. “Digitalization in Food Supply Chains: A Bibliometric Review and Key-Route Main Path Analysis.” Sustainability 14, no. 1: 83. https://doi.org/10.3390/su14010083.
- Ribal, J., V. Estruch, G. Clemente, M. L. Fenollosa, and N. Sanjuán. 2019. “Assessing Variability in Carbon Footprint Throughout the Food Supply Chain: A Case Study of Valencian Oranges.” International Journal of Life Cycle Assessment 24, no. 8: 1515–1532. https://doi.org/10.1007/s11367-018-01580-9.
- Rogelberg, S. G., and J. M. Stanton. 2007. “Introduction.” Organizational Research Methods 10, no. 2: 195–209. https://doi.org/10.1177/1094428106294693.
- Roscoe, S., D. Eckstein, C. Blome, and M. Goellner. 2020. “Determining How Internal and External Process Connectivity Affect Supply Chain Agility: A Life-Cycle Theory Perspective.” Production Planning & Control 31, no. 1: 78–91. https://doi.org/10.1080/09537287.2019.1629704.
- Ross, L. 2022. “7 Ways to Transform the Global Food Supply Chain. Thomas Publishing Company.” https://www.thomasnet.com/insights/7-ways-to-transform-the-global-food-supply-chain/.
- Rutz, O. J., and G. F. Watson. 2019. “Endogeneity and Marketing Strategy Research: An Overview.” Journal of the Academy of Marketing Science 47: 479–498. https://doi.org/10.1007/s11747-019-00630-4.
- Saldanha, J. P., J. E. Mello, A. M. Knemeyer, and T. A. S. Vijayaraghavan. 2015. “Implementing Supply Chain Technologies in Emerging Markets: An Institutional Theory Perspective.” Journal of Supply Chain Management 51, no. 1: 5–26. https://doi.org/10.1111/jscm.12065.
- Sarstedt, M., J. F. Hair, C. M. Ringle, K. O. Thiele, and S. P. Gudergan. 2016. “Estimation Issues With PLS and CBSEM: Where the Bias Lies!” Journal of Business Research 69, no. 10: 3998–4010. https://doi.org/10.1016/j.jbusres.2016.06.007.
- Shafiq, A., M. U. Ahmed, and F. Mahmoodi. 2020. “Impact of Supply Chain Analytics and Customer Pressure for Ethical Conduct on Socially Responsible Practices and Performance: An Exploratory Study.” International Journal of Production Economics 225: 107571.
- Sharma, M., R. Antony, A. Sharma, and T. Daim. 2025. “Can Smart Supply Chain Bring Agility and Resilience for Enhanced Sustainable Business Performance?” International Journal of Logistics Management 36, no. 2: 501–555.
10.1108/IJLM-09-2023-0381 Google Scholar
- Sharma, N., B. S. Sahay, R. Shankar, and P. R. S. Sarma. 2017. “Supply Chain Agility: Review, Classification and Synthesis.” International Journal of Logistics Research and Applications 20, no. 6: 532–559. https://doi.org/10.1080/13675567.2017.1335296.
- Shashi, K., P. Centobelli, R. Cerchione, and M. Ertz. 2020. “Agile Supply Chain Management: Where Did It Come From and Where Will It Go in the Era of Digital Transformation?” Industrial Marketing Management 90, no. July: 324–345. https://doi.org/10.1016/j.indmarman.2020.07.011.
10.1016/j.indmarman.2020.07.011 Google Scholar
- Shekarian, M., S. V. Reza Nooraie, and M. M. Parast. 2020. “An Examination of the Impact of Flexibility and Agility on Mitigating Supply Chain Disruptions.” International Journal of Production Economics 220, no. August 2018: 107438. https://doi.org/10.1016/j.ijpe.2019.07.011.
10.1016/j.ijpe.2019.07.011 Google Scholar
- Shi, L., X. Wang, H. Sun, and Z. He. 2018. “The Impact of Technological Innovation on Product Quality: The Moderating Role of Firm Size.” Total Quality Management and Business Excellence 29, no. 7–8: 746–761. https://doi.org/10.1080/14783363.2016.1233810.
- Shruthi, B.-M., S. Hoo, C. Mitchell, et al. 2021. The Digital Agriculture Revolution Will Take More Than Innovation. Boston Consulting Group.
- Simchi-Levi, D., and K. Timmermans. 2021. Deep Transformation With Smart Supply Chain Digitization. Accenture.
- Soares, A., E. Soltani, and Y. Y. Liao. 2017. “The Influence of Supply Chain Quality Management Practices on Quality Performance: An Empirical Investigation.” Supply Chain Management 22, no. 2: 122–144. https://doi.org/10.1108/SCM-08-2016-0286.
- Song, H., R. Turson, A. Ganguly, and K. Yu. 2017. “Evaluating the Effects of Supply Chain Quality Management on Food Firms' Performance: The Mediating Role of Food Certification and Reputation.” International Journal of Operations & Production Management 37, no. 10: 1541–1562. https://doi.org/10.1108/IJOPM-11-2015-0666.
- Stank, T. P., A. E. Dohmen, L. W. Saunders, J. R. W. Merrick, and T. J. Goldsby. 2022. “Applying Agility to Improve Customer Performance When Supply and Demand Vary From Core Conditions.” International Journal of Physical Distribution and Logistics Management 52, no. 8: 722–744. https://doi.org/10.1108/IJPDLM-07-2021-0298.
- Stone, J., and S. Rahimifard. 2018. “Resilience in Agri-Food Supply Chains: A Critical Analysis of the Literature and Synthesis of a Novel Framework.” Supply Chain Management: An International Journal 23, no. 3: 207–238. https://doi.org/10.1108/SCM-06-2017-0201.
- Tarafdar, M., and S. Qrunfleh. 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, no. 4: 925–938. https://doi.org/10.1080/00207543.2016.1203079.
- Teece, D. J., G. Pisano, and A. Shuen. 1997. “Dynamic Capabilities and Strategic Management.” Strategic Management Journal 18, no. 7: 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z.
- The Economist Group. 2021. Food 4.0: Technology in Agriculture and Food. The Economist Group.
- Tippins, M. J., and R. S. Sohi. 2003. “IT Competency and Firm Performance: Is Organizational Learning a Missing Link?” Strategic Management Journal 24, no. 8: 745–761. https://doi.org/10.1002/smj.337.
- Tomlin, B. 2006. “On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks.” Management Science 52, no. 5: 639–657. https://doi.org/10.1287/mnsc.1060.0515.
- Um, J. 2017. “The Impact of Supply Chain Agility on Business Performance in a High Level Customization Environment.” Operations Management Research 10, no. 1–2: 10–19. https://doi.org/10.1007/s12063-016-0120-1.
- United Nations Development Programme. 2023. “Peru: Sustainable Coffee. Food And Agricultural Commodity Systems.” https://www.undp.org/facs/peru-sustainable-coffee.
- Voldrich, S., P. Wieser, and N. Zufferey. 2020. “Optimizing the Trade-Off Between Performance Measures and Operational Risk in a Food Supply Chain Environment.” Soft Computing 24, no. 5: 3365–3378. https://doi.org/10.1007/s00500-019-04099-9.
- Wamba, S. F., R. Dubey, A. Gunasekaran, and S. Akter. 2020. “The Performance Effects of Big Data Analytics and Supply Chain Ambidexterity: The Moderating Effect of Environmental Dynamism.” International Journal of Production Economics 222: 107498. https://doi.org/10.1016/j.ijpe.2019.09.019.
- Wamba, S. F., A. Gunasekaran, S. Akter, S. J. Ren, R. Dubey, and S. J. Childe. 2017. “Big Data Analytics and Firm Performance: Effects of Dynamic Capabilities.” Journal of Business Research 70: 356–365. https://doi.org/10.1016/j.jbusres.2016.08.009.
- Wang, Y., Z. Ali, A. Mehreen, and K. Hussain. 2023. “The Trickle-Down Effect of Big Data Use to Predict Organization Innovation: The Roles of Business Strategy Alignment and Information Sharing.” Journal of Enterprise Information Management 36, no. 1: 323–346. https://doi.org/10.1108/JEIM-10-2021-0439.
- Whitten, G. D., W. G. Kenneth, P. J. Zelbst, K. W. Green Jr., and P. J. Zelbst. 2012. “Triple-A Supply Chain Performance.” International Journal of Operations & Production Management 32, no. 1: 28–48. https://doi.org/10.1108/01443571211195727.
- Wong, C. W. Y., C. Sancha, and C. G. Thomsen. 2017. “A National Culture Perspective in the Efficacy of Supply Chain Integration Practices.” International Journal of Production Economics 193: 554–565. https://doi.org/10.1016/j.ijpe.2017.08.015.
- Wu, K. J., M. L. Tseng, A. S. F. Chiu, and M. K. Lim. 2017. “Achieving Competitive Advantage Through Supply Chain Agility Under Uncertainty: A Novel Multi-Criteria Decision-Making Structure.” International Journal of Production Economics 190, no. 8: 96–107. https://doi.org/10.1016/j.ijpe.2016.08.027.
10.1016/j.ijpe.2016.08.027 Google Scholar
- Yang, M., M. Fu, and Z. Zhang. 2021. “The Adoption of Digital Technologies in Supply Chains: Drivers, Process and Impact.” Technological Forecasting and Social Change 169, no. May: 120795. https://doi.org/10.1016/j.techfore.2021.120795.
10.1016/j.techfore.2021.120795 Google Scholar
- Yu, W., M. A. Jacobs, R. Chavez, and M. Feng. 2017. “The Impacts of IT Capability and Marketing Capability on Supply Chain Integration: A Resource-Based Perspective.” International Journal of Production Research 55, no. 14: 4196–4211. https://doi.org/10.1080/00207543.2016.1275874.
- Yu, W., M. A. Jacobs, R. Chavez, and J. Yang. 2019. “Dynamism, Disruption Orientation, and Resilience in the Supply Chain and the Impacts on Financial Performance: A Dynamic Capabilities Perspective.” International Journal of Production Economics 218: 352–362. https://doi.org/10.1016/j.ijpe.2019.07.013.
- Yu, Y., and B. Huo. 2018. “Supply Chain Quality Integration: Relational Antecedents and Operational Consequences.” Supply Chain Management 23, no. 3: 188–206. https://doi.org/10.1108/SCM-08-2017-0280.
- Zeng, J., C. A. Phan, and Y. Matsui. 2013. “Supply Chain Quality Management Practices and Performance: An Empirical Study.” Operations Management Research 6, no. 1–2: 19–31. https://doi.org/10.1007/s12063-012-0074-x.
- Zeng, M., and J. Lu. 2021. “The Impact of Information Technology Capabilities on Agri-Food Supply Chain Performance: The Mediating Effects of Interorganizational Relationships.” Journal of Enterprise Information Management 34, no. 6: 1699–1721. https://doi.org/10.1108/JEIM-08-2019-0237.
- Zhang, X., D. Pieter van Donk, and T. van der Vaart. 2011. “Does ICT Influence Supply Chain Management and Performance?” International Journal of Operations & Production Management 31, no. 11: 1215–1247. https://doi.org/10.1108/01443571111178501.
- Zhou, H., and L. Li. 2020. “The Impact of Supply Chain Practices and Quality Management on Firm Performance: Evidence From China's Small and Medium Manufacturing Enterprises.” International Journal of Production Economics 230: 107816. https://doi.org/10.1016/j.ijpe.2020.107816.
- Zhou, H., Y. Shou, X. Zhai, L. Li, C. Wood, and X. Wu. 2014. “Supply Chain Practice and Information Quality: A Supply Chain Strategy Study.” International Journal of Production Economics 147, no. PART C: 624–633. https://doi.org/10.1016/j.ijpe.2013.08.025.
