NOLEGEIN Journal of Supply Chain and Logistics Management

ISSN: 2582-0141

Editors Overview

njsclm maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Focus and Scope

About the Journal

NOLEGEIN Journal of Supply Chain and Logistics Management [2582-0141(e)] is a peer-reviewed hybrid open-access journal launched in 2018 that provides a platform to discuss new issues in the area of Marketing channels and strategy. The journal also seeks to advance the quality of research by publishing papers introducing or elaborating on Supply chain management & Warehouse management.

Papers Published


Publication Charge
Open Access

Focus and Scope

  • Marketing channels and strategy: Supply chain management, Logistics, Purchasing, Operations Management, Literature review, Research trends, Methodologies (conceptual, empirical, microeconomic model-based research), Future research, Retailers, Wholesalers, Franchisors, Distributors, Trust, Dependence, Control, Cooperation, Negotiations, Resource dependence, Transaction cost, Opportunism, Coercive influence, Noncoercive influence, Procedural fairness, Distributive fairness, Export, Dual channel, Durable goods, Manufacturer, Reseller, Political economy framework, Periodization, Managing international channel relationships.
  • Transaction cost economics: Pre-transaction cost research, Enumeration of the key events, Outsourcing, Core competencies, Business process outsourcing, Professional services, Transaction costs and benefits, Theory of the firm, Partnership, Supply Management, Trust, Case studies, Service purchasing, Offshoring, Administration, Real-world, Coase, Information Technology Outsourcing, Normative theory, Endogenous theory, Cloud computing, Collaboration, Economic performance, Environmental performance, Electronic commerce, Internet shopping, Time-and-material contract, Fixed-price contract.
  • Logistics performance management: Supplier evaluation, Performance measurement, Inter-organizational control, Logistics measures, Automotive industry, Measuring tools, Logistics, Construction industry, Recommendations, Frameworks, Systems, Reverse Logistics, Logistics benchmarking, Ground handling, Balanced Scorecard, Fuzzy AHP, Lead Acid Battery, Longitudinal study, Empirical study, Action research, Broadcasting company, Collaborative supply chain, After-sales service network, Reference model, Automotive industry, manufacturing trade facilitation, Balanced scorecard, Metrics, Multi-criteria decision making.
  • Enterprise resource planning: Industry, Functional enterprise, Data integration, IT productivity, Economic theory, Critical success factors, Literature review, Firm performance, Productivity paradox, Longitudinal study, Knowledge transfer, Absorptive capacity, Consultant competence, Process fit, enterprise resource planning systems adoption, Formal and informal management control systems, Survey, Path model, Patient logistics, Planning and control, Clinical management, Competitive advantage, Loosely coupled systems, Dual-core systems, Organizational size, Survey methodology, Operations systems, Technology adoption.
  • E-logistics and Logistics information systems:  Resource commitment, Information technology, IT capabilities, Supply chain management, Reverse logistics, Competitive advantage, Adaptability, Agility, Alignment, e-commerce, e-stores, Internet sale, Distribution cost, GIS, GPS, Technology acceptance model, Trust, analytical network process (ANP), analytical hierarchy process (AHP), Benchmarking capability, Flexibility capability, Logistics management, Resource-based view of the firm, Spare parts manufacturing, Distant system, Logistic support, E-maintenance, Additive manufacturing, Structural equation modeling, Risk analysis, Information sharing, Continuous replenishment program, Vendor-managed inventory.
  • Customer relationship management: Cross-functional integration, Information technology, Relationship marketing, customer satisfaction, corresponding variables, regression analysis, Critical success factors, Information system failure, Simulation, Literature review, Classification, Data mining, Customer knowledge management, Customer orientation, Organizational capability, Neural networks, Chi-square automatic interaction detection (CHAID), Privacy rights, Performance, Data Quality, Customer knowledge, Knowledge creation, Organizational knowledge creation theory, Customer portfolio management, Portfolio parameters, Customer coercive pressure, Mimetic competitor pressure, Institutional theory, Indirect-only mediation, Holistic framework, Tourism sector, Factor analysis, IT infrastructure.
  • Supply chain management: Supply networks, Buyer–supplier relationships, Organization Theory, Best Value Supply Chains, Strategic Supply Chain Management, Sustainability, Fast fashion industry, Sustainability reports, Guest editorial, Operations management, Blockchain, Artificial intelligence, Trust, Traceability, Smart contracts, Green supply chain, Environmental sustainability, Bibliometrics, Literature review, Network analysis, Linguistic variables, Fuzzy set theory, Just in time, Quality management, Empirical research, Production, Distribution, Integration, Transaction cost theory, Financial/economic analysis, Build-to-order supply chain management.
  • Warehouse management: Inventory systems, Storage allocation, and assignment, Forward/reserve problem, Logistics, key performance indicators, Systematic literature review, Sustainable Development Goals (SDGs), Issues & challenges, Internet of Things, EPCglobal, Hybrid architecture, Discovery service, Memory efficiency, Chord DHT, Bloom filter, Quotient filter, Scalability, Fault, Sequential order picking, tolerance, Order picking and packing, Multi-container loading, Pooled warehouse, Uncertainty sources and risks, advanced industrial engineering, internal logistics, transport, Forecasting, Integrated manufacturing execution systems, Manufacturing Control, Identification, Case-based reasoning, Route optimization, Warehouse operations, Resource management.
  • Purchasing, Procurement, E-commerce, E-auctions: E-Procurement adoption, Purchasing, Benefits and barriers, Empirical analysis, Framework, manufacturing, Web customer model, Electronic commerce, Usability, Design principles, Post-adoption stage, Level of use, Suppliers behavior, e-Business, Electronic marketplace, wireless communications, Adopters, Non-adopters, B2B procurement, Supply sourcing, e-Government, On-line transactions, Internet, Trust, Credibility, Risk, Technology acceptance model, Building information modeling, Service-oriented architecture, Multi-attribute auction, Multi-criteria decision making (MCDM).
  • Technique and Technology of the Logistic Infrastructure: Logistics systems, Weighing, Quick response, Big data analytics, Supply chain management, the technique for order preference by similarity to ideal solution (TOPSIS), Radio Frequency Identification (RFID), Analytic Hierarchy Process (AHP), Critical success factors, Maturity model, Holistic business analytics, Methodologies and techniques, Decision support system, Operations research, Workflow operation, Resource blockchain, Logistics resources sharing, E-commerce logistics real estate service, Services quality, Firm performance, Services trade and environment, Panel data, Quantile regression.
  • Logistics Cost and Controlling:  Panel study, Mixed model, Random effect, Constructive heuristic, Speed control, Carbon emission, Bi-objective, Truckload transportation, Spare parts, Multi-modal transportation, Environmental pollution, Environmental management, Product returns, Location–allocation of facilities, Value recovery, green supply chain management, Lot-sizing models, Sustainability, Cold supply chain, Unit capacity, Roles, and limitations.
  • Mass Customization, Order Postponement, Responsiveness:  Supply chain management, Operations strategy, Mass customization, Postponement, Mass production, Personalization, Tactical alignment, Modularity, Customer focus, Synchronized supply chain, Mass customization markets, E-commerce, Customer-driven manufacturing, User involvement, Supplier flexibility, Structural equation modeling (SEM), Uncertainty, Activity-based costing, Flexible manufacturing systems, Operations strategy, Responsiveness, Product differentiation, Operations management-information systems interface, Product configuration, Time performance, Survey research.

Open Access Statement

The NOLEGEIN Journal of Supply Chain and Logistics Management (njsclm) is an open-access (OA) publication which provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. All published works will be available to a worldwide audience, free, immediately upon publication. Publication in the journal is subject to payment of an article processing charge (APC). The APC serves to support the journal and ensures that articles are freely accessible online in perpetuity under a Creative Commons licenses.

Publication Ethics Statement

njsclm fully adhere to Code of Conduct of Publication Ethics (COPE) and to its Best Practice Guidelines. The Editorial Team enforces a rigorous peer-review process with strict ethical policies and standards to ensure the addition of high-quality scientific studies to the field of scholarly publication. In cases where njsclm becomes aware of ethical issues, it is committed to investigating and taking necessary actions to maintain the integrity of the literature and ensure the safety of research participants. Click here to read more about the Research & Publication virtue ethics

Content Disclaimer

  • All the information’s, opinions, and views mentioned here represents the authors and the contributions of the articles.
  • Publication of articles, advertisements, or product information does not constitute endorsement or approval by the journal.
  • Cannot be help responsible for any error or consequences while using the information updated in this journal.
  • Although every effort is done by njsclm to see that there’s no any inaccurate data, misleading data, opinion or statement within the journal, the data and opinions appearing in the articles are the responsibility of the contributors concerned.