Logistics And Supply Chain Management Research Articles

Nanosensors from Logistics and Supply Chain Perspective: A Literature Review

Introduction: Nanosensors are one of the most recent technologies obtained from the nanoworld. They have enhanced properties with potential applications in a wide spectrum of sectors. They exhibit exceptional properties in temperature monitoring, hazardous gas and vapor detection, humidity detection, as well as pathogens, toxins, and chemical contaminant detection. Among various nanosensor applications, one of the most recent usages of nanosensor technology is in logistics and supply chain management (SCM). Aim: This study aims at investigating the potential of nanosensor technology from logistics & SCM perspective, and specifically questions how can this technology contribute to food supply chains. Method: A systematic comprehensive literature review was conducted with the keywords: nanosensors & logistics, nanosensors & supply chain, nanosensors & smart packaging, and nanosensors & food logistics for the date range 2001-2022, covering a broad set of references. Findings revealed that nanosensors have significant potential in providing smart packaging, and improving traceability and visibility across all the logistics and SCM processes including end-to-end transportation and storage activities Result: Hybrids of different types of nanosensors with the existing material identification systems provide new levels of traceability and visibility in SCM, enabling accurate tracking of a variety of parameters. The study has shown that the intersection of nanotechnology and logistics & SCM domains is still immature. Conclusion: This intersection is especially critical for food supply chains for meeting their special traceability requirements, and for serving food safety and organic food traceability across all stages of logistics.

Using mixed methods in logistics and supply chain management research: current state and future directions

PurposeMixed methods research is useful to enhance theoretical and practical research contributions. However, single methods have predominated much logistics and supply chain management (LSCM) research. This paper presents a review of mixed methods research across ten years in LSCM to determine their usage, identify benefits and inhibitors, and provide suggestions for LSCM researchers to realise the benefits from using mixed methods.Design/methodology/approachThis paper adopts a mixed methods approach through a quantitative analysis of methods used in six leading LSCM journals, an e-mail survey of mixed methods article authors during the review period, and four published case studies that used mixed methods.FindingsOnly 144 (ten percent) of all empirical articles were published using mixed methods during the review period. A range of benefits and inhibitors regarding mixed methods adoption were found. Suggestions for LSCM authors include research training in mixed methods use and developing a project-specific research design due to the specificity and complexity associated with mixed methods research.Originality/valueLSCM is at a critical juncture, shaped by new contexts, themes and challenges, and would benefit from different research approaches and methods. This paper contributes to the LSCM domain through analysing the current state, benefits and inhibitors of mixed methods research in LSCM journals to provide a renewed call to action and guidelines for mixed methods LSCM research, and suggesting research design adaptation to enable agile and resilient research when investigating rapidly changing and complex phenomena.

Logistics and Supply Chain Superpowers and Skills for Survival in the “New Normal” Globalized World

Abstract Disruptions and rising costs in global supply chains due to COVID-19, climate change, and geopolitical tensions have led to supernormal profits, substantially more recognition of the importance of the sector and management functions associated with it, and a potential “golden age” for a career in logistics and supply chain management (LSCM). This article provides a general overview of the opportunities arising from global LSCM trends. Motivated by student views and comments, the authors have surveyed leading academics and senior practitioners globally across the key LSCM functions to obtain a comprehensive view on the future skills required to excel in a career in supply chain management. Their findings suggest a multitude of future-proof skills centred around technical (e.g., data analytics), soft (e.g., creativity) and cross-functional skills, which they then use to discuss implications for job profiles, graduates (i.e., learn to learn) and LSCM professionals. Given the variety and complexity of the identified skills and LSCM functions, in addition to a compounding LSCM talent shortage, the authors propose changes in LSCM offerings at universities and other tertiary education providers, with a focus on unlearning and life-long learning.

Progress in partial least squares structural equation modeling use in logistics and supply chain management in the last decade: a structured literature review

PurposeThis study aims to evaluate the usage of partial least squares structural equation modeling (PLS-SEM) in journals related to logistics and supply chain management (LSCM).Design/methodology/approachBased on a structured literature review approach, the authors reviewed 401 articles in the field of LSCM applying PLS-SEM published in 15 major journals between 2014 and 2022. The analysis focused on reasons for using PLS-SEM, measurement model and structural model evaluation criteria, advanced analysis techniques and reporting practices.FindingsLSCM researchers sometimes did not clarify the reasons for using PLS-SEM, such as sample size, complex models and non-normal distributions. Additionally, most articles exhibit limited use of measurement models and structural model evaluation techniques, leading to inappropriate use of assessment criteria. Furthermore, progress in the practical implementation of advanced analysis techniques is slow, and there is a need for improved transparency in reporting analysis algorithms.Originality/valueThis study contributes to the field of LSCM by providing clear criteria and steps for using PLS-SEM, enriching the understanding and advancement of research methodologies in this field.

Knowledge and skills gap of graduates entry-level: perception of logistics and supply chain managers in Oman

PurposeThe study provides an evaluation of the knowledge and skills importance covered in the degree of Logistics and Supply Chain Management (LSCM) as well as the knowledge and skills gap of graduates entry-level.Design/methodology/approachThe study used both descriptive and exploratory research designs. The study adopted a self-administered questionnaire. The sample size is 41 logistics industry mid-managers of six organizations selected from the main operators of Sohar Port in Oman.FindingsThe findings reveal that logistics professionals agree on the importance of all the learner attributes, knowledge and cognitive skills, and general competencies identified in a university degree with a major in LSCM. Furthermore, the results identified moderate levels of gaps in five knowledge areas and six soft and hard skills of graduates at the entry level.Research limitations/implicationsFurther research can be built on this study findings by evaluating the perception of logistics and supply chain industry professionals in different global contexts and investigate the effectiveness of different training and educational programs in enhancing the knowledge and skills of logistics professionals in various regions.Practical implicationsThis study may extend beyond Oman and have important implications for LSCM practices in other developing countries. Universities' management in developing countries can use this study findings to identify the key skills required by entry-level logistics professionals and incorporate them into their curricula to better prepare graduates for the workforce. In addition, the skills identified in our study, such as decision-making skills, managing stress, negotiation skills and critical thinking, are relevant to logistics professionals in other developing countries with similar socio-economic and industry characteristics.Originality/valueUnlike the prior studies that focused on the mismatch between educational degrees and job requirements without considering study specializations and industry, this paper lays a nuanced understanding of the knowledge and skills gap associated with entry-level graduates of the logistics and supply chain industry. As such, the paper offers inputs for the LSCM academic degree related to knowledge and skills needed by logistics and supply chain industry.

On merchandise return policy, entrepreneurial internet retail, and customer reviews – Insights from an observational study

AbstractThe rapid growth of Internet retail platforms (e.g., Shopify and Wix) and marketplaces (e.g., Amazon, eBay, and Etsy) has given rise to a new wave of entrepreneurship. These are platform entrepreneurs—individuals who establish micro‐retail businesses on third‐party platforms. While there are now millions of such entrepreneurs worldwide, there has been limited scholarly investigation regarding the role of Logistics and Supply Chain Management (LSCM) policies that they can adapt to benefit their small businesses. Because the success of such businesses is intricately driven by the reviews they receive, we deem it essential to investigate how such reviews may be related to their LSCM policies. We conduct an observational field study at one such small platform seller. By investigating items sold under varying merchandise return policies (MRPs), we seek to isolate the relationship between MRP, and the likelihood, positivity, and depth of the reviews left by shoppers. Based on the concept of contractuality, rooted in Sociometer Theory, our results reveal that a more lenient MRP may serve as a perk that may positively impact the customer's review writing. However, the relationship is not monotonic. Instead, there is evidence that the effect of extended MRP leniency on reviews tapers off beyond a certain point.

Bridging the gap: Building environmental, social and governance capabilities in small and medium logistics companies

Nowadays, the popularity of environmental, social, and governance (ESG) performance measurement has dramatically increased, particularly to listed companies, for supporting various investment decisions. Companies with high ESG scores imply that their ongoing business development is recognised to be economically, socially, and environmentally sustainable. From the current ESG measurement practice, the measurement frameworks are built on rating schemes, such as KLD and ASSET4, so as to derive the ESG scores for listed companies. However, such existing measurement frameworks are difficult to be implemented in small and medium enterprises (SMEs) with unstructured and non-standardised business data, especially in logistics and supply chain management (LSCM) practice. In addition, it is inevitable for listed companies to work with SMEs, for example logistics service providers, but they need a systematic framework to source the responsible SMEs to maintain the ESG performance. To address the above industrial pain-points, this study proposes an ESG development prioritisation and performance measurement framework (ESG-DPPMF) by means of the Bayesian best-worst method enabling the group decision-making capability to prioritise the ESG development areas and formulate the performance measurement scheme. Through consolidating the opinions from logistics practitioners, it is found that fair labour practice, reverse logistics and human right in supply chains are the most essential areas to further enhance ESG capabilities in the logistics industry. In addition, the viability of the ESG performance measurement has been validated, and thus the sustainable and human-centric logistics practice can be developed to achieve business sustainability.

An Integrative Framework for Action Research, Experiential Learning, and AI Advancements

The paper explores the synergistic integration of action research methodology and experiential learning in undergraduate logistics and supply chain management (LSCM) programs. We examine how this novel approach addresses the demands of the dynamic LSCM industry by combining theoretical knowledge with practical skills, enhancing critical thinking abilities, and real-world engagement. By examining case studies and extant literature, we illustrate how action research and experiential learning synergise to create a holistic educational experience. We present a comprehensive framework for integrating action research and experiential learning pedagogies that aims to empower students with the essential skills and adaptability to excel in the evolving world of LSCM. The study highlighted several critical elements for educators to implement this integrated approach successfully. Additionally, we explore the impacts of artificial intelligence (AI) on teaching and learning within this integrated framework. The potential benefits and concerns when adapting AI within this integrated framework include enabling personalised learning, data-driven insights, collaborative engagement, and ethical considerations.

Quantifying the Benefits of Digital Supply Chain Twins—A Simulation Study in Organic Food Supply Chains

Background: Digital supply chain twins (DSCT) are gaining increased attention in academia and practice and their positive impact on logistics and supply chain management (LSCM) performance is often highlighted. Still, LSCM executives are hesitant regarding DSCT implementation. One reason is the difficulty of making a reasonable cost–benefit comparison, because the benefits of using a DSCT are rarely quantified. Moreover, there seems to be no method of quantifying these benefits as of today. Methods: This article builds upon an extensive simulation study of a constructed organic food supply chain (FSC), containing as many as 40 simulation experiments. In this simulation study, three volatility scenarios in the FSC were simulated and their effects on LSCM performance were measured. Subsequently, dynamic simulation experiments were run to emulate DSCT use. The benefits of using a DSCT were then quantified using a newly developed approach. Results: A conclusive method for quantifying the benefits of using a DSCT is presented and validated. Moreover, the performance evaluation of using a DSCT for the multi-echelon inventory management of an organic FSC is given. Conclusions: The study leads towards a method for quantifying the use of DSCTs that is of importance for research and practice alike. For managers, it additionally provides an exemplary application of said method in the context of organic FSCs.

A Fit between Logistics and Supply Chain Management Education and Jobs Market Need in Nepal

The purpose of this paper is to explore a fit between Logistics and Supply Chain Management (LSCM) related course content and the industry needs in the Nepalese context. Since this study is undertaken using the Nepalese sample, the knowledge and skills prioritized by employers, it can be of value to educators while designing their LSCM course content. Desk-based research involving content analyses was done to understand the supply side information i.e. relative coverage of LSCM topics in business-related courses and degrees offered at selected five Nepalese Universities and for the demand side information i.e. analysis of job description of the LSCM related vacancies in the Nepalese job market over eighteen weeks. The study reveals that the inclusion of LSCM courses in the business programs at Nepalese Universities is currently negligible as none of them offered a separate program dedicated to LSCM. Besides, the LSCM courses were limited to just one course per program weighing not more than three credit hours. Instead, there seems to be an unprecedented number of business schools and colleges leaning towards more sellable traditional business degrees related to finance, marketing, human resource management, IT, and hospitality. Finally, when comparing the relative coverage of LSCM topics in the curriculum to the relative demand for such knowledge by the employers, there seems to be an over-emphasis or under-emphasis of courses related to LSCM both at the bachelors and masters level indicating a mismatch between the expectations of employers and education offered by the universities.

Digital Supply Chain Twins—Conceptual Clarification, Use Cases and Benefits

Background: Digital supply chain twins (DSCT) are gaining increased attention in academia and practice as they emerge as one of the most important trends in logistics and supply chain management (LSCM). Still, there seems to be no common understanding of the term in scientific literature. Moreover, the broad field of LSCM allows for a multitude of feasible application areas and use cases, yet there exists no conclusive list of them as to date. Methods: This study builds upon a systematic literature review of 66 DSCT articles to identify application areas of DSCT in LSCM as well as specific use cases and their respective intended benefits. Results: To start with, the study derives a unified definition of DSCTs, including possible scopes of applications. Afterwards, five application areas of DSCT in LSCM are synthesized as well as 14 individual use cases and their respective intended benefits. Conclusions: The study leads towards a conceptual clarification of DSCT that is of importance for research and practice alike. For managers it additionally provides up-to-date use cases to guide DSCT applications in practice.

Design, implementation and academic perspectives on authentic assessment for applied business higher education in a top performing Asian economy

PurposeThe purpose of authentic assessment can enrich students with a set of skills that can have a significant impact on their employability. The key aim of these actions is to equip students with the practical skills to be work ready. The focus here is to demonstrate effects on student satisfaction and observations from teaching staff accrued over several semesters in an educational institution after introducing authentic assessments.Design/methodology/approachThis paper used a set of scaffolded authentic assessments for students in logistics and supply chain management (LSCM). A combination of literature and expert input was used to design and implement the authentic assessment. A multi-phase systematic approach using cyclical model steps articulated the course learning outcomes (CLOs).FindingsReinforced evidence that authentic assessments create options for divergent learners and provide opportunities for applying practical and higher-order cognitive skills in tertiary education system of an emerging economy. With the focus on student ability in doing things, students with diversified backgrounds and abilities in Asia can be encouraged to take an active role in their own learning. The formats of the newly redesigned assessments allow multidimensional cognitive capabilities such as art development (posters and video tasks) and reflective exercises. Importantly, formative types of authentic assessments help to decrease the level of anxiety by emphasising the aspect of doing and lead to better student satisfaction with the courses. All of these effects are shown to be repeatable in an Asian economy.Practical implicationsAuthentic assessments prepare students for the new world of work through a more focused scaffolding of their learning.Originality/valueStimulation of deeper learning in tertiary education students is relevant for a top performing Asian economy.

Celebrating IJPDLM's 50th anniversary: a reflection on its contributions and future directions

PurposeThis article celebrates the 50th anniversary of IJPDLM, reflects on the contribution of IJPDLM to the field of logistics and supply chain management (LSCM) and discusses future directions for the journal.Design/methodology/approachDescriptive analysis of manuscripts received and accepted by IJPDLM during 2015–2019 is used to provide an overview of the journal. Content analysis of selected articles is used to highlight important contributions of the journal. Changes made since 2020 are highlighted to inform future directions of IJPDLM. Invited articles are discussed and used to clarify future directions.FindingsIJPDLM has made tremendous progress in informing and shaping the field of LSCM. Key issues addressed include sustainability and reverse logistics, omni-channel, e-commerce, retail logistics, risk, resilience, volatility, and complexity and digital technology innovation. The journal has expanded the use of methods beyond the typical qualitative and quantitative methods to explore the use of design science, experiment, conjoint analysis, qualitative comparative analysis, narrative analysis. The invited articles provide (1) a historical reflection of the purpose of the journal when it was launched, (2) new guidance on how to develop theories using literature review and grounded theories and (3) understanding of startups and supply chain ecosystems.Practical implicationsSome exemplar articles are highlighted to explain how IJPDLM informs LSCM managers, companies and policy makers.Originality/valueThis article explains the recent development and sets future directions for the LSCM field.

Application areas and antecedents of automation in logistics and supply chain management: a conceptual framework

ABSTRACT One of the main challenges for modern logistics and supply chain management (LSCM) is the automation of processes along the supply chain. Although research on different automation applications in LSCM exists, LSCM managers lack an overall picture of possible application areas as well as the antecedents influencing the successful implementation of applications. The study applied data triangulation through a systematic literature review of 265 articles and a Nominal Group Technique exercise among 18 LSCM professionals in order to extract automation application areas as well as antecedents of successful automation projects. Through a structured synthesis process building on the Q-methodology a conceptual framework of application areas and antecedents of automation in LSCM is proposed. The framework synthesises ten application areas of automation in LSCM and ten antecedents that influence the efficient implementation and use of automation applications. The study proposes that the impact of technological and informational antecedents is moderated by organisational as well as knowledge-related antecedents, and advances propositions outlining the impact of antecedents on the successful implementation and use of automation applications. The study provides a coherent conceptualisation of automation in LSCM which provides a common basis on which to merge further discussions on automation between research and practice.

A systematic review of machine learning in logistics and supply chain management: current trends and future directions

PurposeThis paper presents a review of the existing state-of-the-art literature on machine learning (ML) in logistics and supply chain management (LSCM) by analyzing the current literature, contemporary concepts, data and gaps and suggesting potential topics for future research.Design/methodology/approachA systematic/structured literature review in the subject discipline and a bibliometric analysis were organized. Information regarding industry involvement, geographic location, research design and methods, data analysis techniques, university, affiliation, publishers, authors, year of publications is documented. A wide collection of eight databases from 1994 to 2019 were explored using the keywords “Machine Learning” and “Logistics“, “Transportation” and “Supply Chain” in the title and/or abstract. A total of 110 articles were found, and information on a chain of variables was gathered.FindingsOver the last few decades, the application of emerging technologies has attracted significant interest all around the world. Analysis of the collected data shows that only nine literature reviews have been published in this area. Further, key findings show that 53.8 per cent of publications were closely clustered on transportation and manufacturing industries and 54.7 per cent were centred on mathematical models and simulations. Neural network is applied in 22 papers as their exclusive algorithms. Finally, the main focuses of the current literature are on prediction and optimization, where detection is contributed by only seven articles.Research limitations/implicationsThis review is limited to examining only academic sources available from Scopus, Elsevier, Web of Science, Emerald, JSTOR, SAGE, Springer, Taylor and Francis and Wiley which contain the words “Machine Learning” and “Logistics“, “Transportation” and “Supply Chain” in the title and/or abstract.Originality/valueThis paper provides a systematic insight into research trends in ML in both logistics and the supply chain.

Can We Connect? Benefits and Barriers to Adoption of Transformative Technology in Global Supply Chains

Can We Connect? Benefits and Barriers to Adoption of Transformative Technology in Global Supply Chains

Maintaining efficient logistics and supply chain management operations during and after coronavirus (COVID-19) pandemic: learning from the past experiences.

The outbreak of the novel coronavirus (COVID-19) forced the governing bodies across the world to ban all kinds of travel involving the movement of people. However, the policymakers have been working hard to mobilize the movement of essential goods and services considering its importance in containing the pandemic. It signifies how important the establishment and maintenance of logistics and supply chain management (LSCM) operations are, both during the containment and the successive periods. Motivated with the paramount importance of LSCM operations during the rapid spread of the novel coronavirus (COVID-19) across the globe, this paper critically reviews the existing literature closely related to it. The main aim is to identify and enhance the understanding of the logistical characteristics that play a vital role during pandemics. The selection of the literature was done using Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology. The classification of the selected literature was done using a tripartite framework. Results show that researchers have focused mostly on “Post-event” (48.24%) management of logistical operations followed by the “Pre-event” (31.76%) and least in the “Integrated” (20%.) approaches. Furthermore, the analysis of the results provided useful insights that are discussed in detail. Also, twelve key areas have been identified that need due attention to improve the overall efficiency of the LSCM operations. We believe that the findings from this paper would be useful to the decision-makers and other stakeholders, as far as, maintaining efficient LSCM operations during as well after the pandemics are concerned.

Decrypting the Belt and Road Initiative: Barriers and Development Paths for Global Logistics Networks

The Belt and Road Initiative (BRI) is an ambitious infrastructure and development project promoting sustainable economic growth through facilitating prosperous trade across Eurasia and Africa; however, its potential remains underexploited. Logistics networks along BRI routes face several challenges that hinder efficient operations. In addition, although uncertain of how the initiative will develop, logistics and supply chain management (LSCM) practitioners must align their networks with future developments. This study aims to synthesize current barriers to the BRI from an LSCM perspective; propose strategies for dealing with them; and outline and assess conceivable BRI development scenarios to create awareness for possible international logistics network developments. The study builds on a structured and moderated Nominal Group Technique exercise among 15 LSCM professionals to extract current barriers, mitigation strategies, and potential development scenarios, followed by a survey among 52 LSCM professionals to assess those issues. The study synthesizes and assesses 17 BRI barriers for LSCM practice and proposes 20 strategies for dealing with them, assessed in terms of effectiveness and complexity. Moreover, 14 development scenarios are assessed in terms of their probability of becoming reality and impact on the vulnerability of logistics networks, categorized into four scenario clusters (monitor, prepare, propel, and exploit) for guiding LSCM practice.

Blockchain Technology in Logistics and Supply Chain Management—A Bibliometric Literature Review From 2016 to January 2020

As part of business and management studies, research works addressed blockchain technology (BCT) in logistics and supply chain management (LSCM) first in 2016. Increasing levels of interest from researchers and practitioners alike have led to an increasing number of studies from both ends; however, a thorough bibliometric- and cocitation network analysis of BCT in LSCM research has not been carried out so far. To address this gap and to build a basis for future research endeavors, this article provides a bibliometric analysis on BCT, comprising data from 613 articles from academic supply chain research. It is therefore an easy-to-access entry point for academics and practitioners into the topic of BCT in LSCM. This study aims to understand the status of research of BCT in LSCM. To present the results, this article employs a bibliometric analysis methodology. It adopts a citation network analysis and a cocitation analysis. Based on a cocitation analysis, this article classifies the existing literature into five different research clusters, including theoretical sensemaking, conceptualizing and testing blockchain applications, framing BCT into supply chains, the technical design of BCT applications for real-world LSCM applications, and the role of BCT within digital supply chains.

Guidelines for establishing practical relevance in logistics and supply chain management research

PurposeRigor and practical relevance are the foundations for logistics and supply chain management (LSCM) as an applied discipline. Whereas there are well-founded criteria for establishing methodological rigor, researchers must provide their own credible logic as to why their papers can influence practice. Accordingly, this paper aims to develop guidelines for establishing practical relevance in research papers.Design/methodology/approachA literature review of LSCM, marketing, operations management and management journals forms the foundation for these guidelines.FindingsRelevance criteria are identified; research should be problem-driven, timely and important, and findings should be implementable, nonobvious, novel and not too costly. Measures for researchers demonstrating the fulfillment of these criteria are identified as practitioner input, gray literature, funding, practitioner involvement and feedback. Researchers should also clearly articulate both problem relevance and the relevance of their findings.Research limitations/implicationsA lack of practical relevance is among the reasons for the rejection of papers by LSCM journals, but researchers can overcome this obstacle using these guidelines.Practical implicationsAt a metalevel, this paper contributes to research with greater practical relevance.Originality/valuePractical relevance is emphasized in the editorials of LSCM journals but has not yet been fully conceptualized from the authors' perspective.