Subtopic Deep Dive
Technology Adoption in Logistics Systems
Research Guide
What is Technology Adoption in Logistics Systems?
Technology Adoption in Logistics Systems examines the integration of technologies like IoT, blockchain, and AI into supply chain and transportation operations, focusing on implementation barriers, ROI evaluation, and efficiency gains.
Researchers analyze ERP systems, big data, and electronic invoicing adoption in logistics using case studies and bibliometric methods. Key papers include Sablón Cossío et al. (2021) on supply chain integration in textiles (10 citations) and Sánchez et al. (2017) on ERP comparison for port logistics (3 citations). Over 20 papers from 2014-2023 address adoption in Latin American contexts, with 4-10 citations for top works.
Why It Matters
Adoption of technologies like ERP and big data in logistics boosts competitiveness, as shown in Sablón Cossío et al. (2021) case study on Ecuadorian textiles achieving supply chain integration. Ramírez Meneses (2021) highlights sustainable tech evolution reducing costs in warehousing. Duque et al. (2023) bibliometric analysis reveals big data's role in supply chain processes, enabling ROI metrics for Industry 4.0 transitions in transportation.
Key Research Challenges
ERP Implementation Complexity
Selecting and deploying ERP systems demands resource-intensive comparisons, as Sánchez et al. (2017) detail in port logistics methodology. Barriers include high costs and adaptation efforts. This delays ROI realization in logistics firms.
Big Data Integration Barriers
Managing large datasets in supply chains faces scalability issues, per Duque et al. (2023) bibliometric study. Latin American firms struggle with tech infrastructure. Adoption lags despite competitive needs.
Sustainability Tech Adoption
Integrating sustainable tech into logistics meets resistance from informal data practices, as in Orozco Crespo et al. (2021) textile chain analysis. Reverse logistics trends in Campoverde Campoverde et al. (2022) add complexity. ROI metrics remain unclear.
Essential Papers
Análisis de integración de la cadena de suministros en la industria textil en Ecuador. Un caso de estudio
Neyfe Sablón Cossío, Erik Orozco Crespo, Alexander D. Pulido-Rojano et al. · 2021 · Ingeniare. Revista chilena de ingeniería · 10 citations
En la actualidad, la integración en la cadena de suministro facilita el logro de la competitividad de sus actores. Es un factor importante cuando se trata de alcanzar objetivos comunes y altos gra...
Revisión de la literatura sobre logística inversa, sus aplicaciones y tendencias futuras
Jorge Arturo Campoverde Campoverde, Martha Helena Carrillo, Jonnathan Jiménez Yumbla et al. · 2022 · Enfoque UTE · 4 citations
En el artículo se presenta una revisión de la literatura sobre investigaciones, casos de aplicación y exploración de logística inversa (LI). Para ello, se utilizaron varias bases de datos para la r...
Evolución de la gestión de la cadena de suministro y la logística, desde una visión tecnológica y sostenible
Cristina Ramírez Meneses · 2021 · Reto · 4 citations
Este artículo, presenta la caracterización de la línea de investigación “Gestión de la cadena de suministro y logística” como el eje ordenador de las actividades de investigación en este campo lide...
Influencia de la calidad del servicio en la fidelización e imagen de marca de las principales cadenas de moda textil
Joyce Shagui-González, Miriam Ruiz-Calva, María Villavicencio-Rodas · 2022 · 593 Digital Publisher CEIT · 4 citations
Ante la constante evolución, hoy en día las tiendas textiles deben estar más preparadas para la excesiva competencia y a la exigencia de los clientes a la hora de adquirir este tipo de productos. A...
Metodología para la comparación de sistemas de planificación de recursos empresariales para servicios logísticos portuarios
Paola Andrea Sánchez, José Rafael García-González, Luis Ortíz-Ospino · 2017 · Ingeniare. Revista chilena de ingeniería · 3 citations
La implementación de un sistema de planificación de recursos empresariales (ERP - Enterprise Resource Planning), a menudo resulta ser un proceso complicado, que consume muchos esfuerzos y recurso...
Modelo de Producción en la Industria Acuícola Peruana
Juan Carlos Quiroz-Flores, Piero Rios-Del-Castillo, Renzo Guia-Espinoza · 2022 · Revista Venezolana de Gerencia · 3 citations
Esta investigación busca validar un modelo de producción para mejorar los procesos productivos del cultivo de trucha arco iris del sector acuícola de la región sur del Perú. El planteamiento del mo...
Análisis bibliométrico de la investigación en big data y cadena de suministro
Pedro Duque, José David Giraldo Castellanos, Iván Darío Osorio Gómez · 2023 · Revista CEA · 2 citations
Los mercados contemporáneos requieren la gestión de grandes cantidades de datos, por lo que el big data se ha convertido en una tecnología para responder a esta necesidad. En consecuencia, las empr...
Reading Guide
Foundational Papers
Start with Villa Marulanda and Torres Delgado (2014) on game theory in VMI supply chains for coordination basics; Arrazola Aguado (2014) on global supplier practices applicable to logistics ARP systems.
Recent Advances
Study Sablón Cossío et al. (2021) for integration case studies; Duque et al. (2023) for big data trends; Grijalva Salazar et al. (2023) on electronic invoicing in SMEs.
Core Methods
Bibliometric analysis (Duque et al., 2023), case studies (Sablón Cossío et al., 2021), ERP comparison frameworks (Sánchez et al., 2017).
How PapersFlow Helps You Research Technology Adoption in Logistics Systems
Discover & Search
PapersFlow's Research Agent uses searchPapers and citationGraph to map adoption papers from Sablón Cossío et al. (2021), revealing 10-citation clusters on supply chain integration. exaSearch uncovers Latin American ERP studies; findSimilarPapers links to Sánchez et al. (2017) for port tech comparisons.
Analyze & Verify
Analysis Agent employs readPaperContent on Duque et al. (2023) to extract big data bibliometrics, then runPythonAnalysis with pandas for citation trend stats and GRADE grading of adoption claims. verifyResponse (CoVe) checks ROI metrics against Ramírez Meneses (2021) evidence, ensuring statistical verification.
Synthesize & Write
Synthesis Agent detects gaps in ERP ROI literature via contradiction flagging across Sánchez et al. (2017) and Grijalva Salazar et al. (2023); Writing Agent uses latexEditText, latexSyncCitations, and latexCompile for adoption review papers. exportMermaid visualizes tech integration workflows.
Use Cases
"Analyze citation trends in big data adoption for Latin American logistics using Python."
Research Agent → searchPapers('big data cadena de suministro') → Analysis Agent → runPythonAnalysis(pandas plot of Duque et al. (2023) metrics) → matplotlib trend graph output.
"Write LaTeX review on ERP barriers in port logistics."
Research Agent → citationGraph(Sánchez et al. (2017)) → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations + latexCompile → formatted PDF review.
"Find GitHub repos for supply chain simulation code from adoption papers."
Research Agent → findSimilarPapers(Sablón Cossío et al. (2021)) → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → repo code and logistics models.
Automated Workflows
Deep Research workflow conducts systematic reviews of 50+ adoption papers, chaining searchPapers → citationGraph → GRADE reports on ERP trends from Sánchez et al. (2017). DeepScan applies 7-step analysis with CoVe checkpoints to verify big data claims in Duque et al. (2023). Theorizer generates adoption barrier theories from Ramírez Meneses (2021) literature synthesis.
Frequently Asked Questions
What defines technology adoption in logistics systems?
It covers IoT, blockchain, AI integration into supply chains, evaluating barriers and ROI, as in Sablón Cossío et al. (2021) textile case.
What methods assess ERP adoption in logistics?
Comparison methodologies like Sánchez et al. (2017) evaluate ERP for port services via critical implementation phases and resource analysis.
Which papers lead in logistics tech adoption?
Top works: Sablón Cossío et al. (2021, 10 citations) on integration; Duque et al. (2023, 2 citations) on big data bibliometrics.
What open problems persist in adoption research?
Unclear ROI for sustainable tech and big data scalability in SMEs, per Campoverde Campoverde et al. (2022) reverse logistics review.
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