The role of European Logistics Association 2020 Standards in facing modern industry expectations and logistics managers' competencies

Bisogni, Paolo Gaetano; Brdulak, Halina; Cantoni, Franca; Niine, Tarvo; Zsifkovits, Helmut

doi:10.1504/ijvcm.2021.116401

Cited by 3 publications

(3 citation statements)

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“…, 2020; Bagloee et al. , 2021; Bisogni et al. , 2021; Hjaltadóttir and Hild, 2021; Potocka-Sionek, 2021; Nasir et al.…”

Section: Resultsmentioning

confidence: 99%

“…The analysis provided a brief profile of each article in terms of its aims, findings, methodologies, and underpinning theories. Scholars have examined the use of digitalization and artificial knowledge in SCM in various industries, such as food and agriculture, ICT, fashion, logistics, marine, textile, tourism, healthcare, fishing, automotive, pharmaceutical, construction, minerals, mining, and manufacturing (Bechtsis et al, 2017;Cherviakova and Cherviakova, 2018;Garcia-Muiña et al, 2018;Pongpanit and Sornsaruht, 2019;Alharthi et al, 2020;Calvão and Archer, 2021;Chen et al, 2022;Griffin et al, 2022;Joshi and Sharma, 2022;Mahroof et al, 2022;Mishra et al, 2022;Oguntegbe et al, 2022;Shamout et al, 2022;Sharma et al, 2022;Shi et al, 2022), and across multiple levels including SMEs, cities, individuals, the government, and the world (Babenko et al, 2020;Bellingan et al, 2020;Wong et al, 2020;Bagloee et al, 2021;Bisogni et al, 2021;Hjaltad ottir and Hild, 2021;Potocka-Sionek, 2021;Nasir et al, 2022;Nudurupati et al, 2022;Reza-Gharehbagh et al, 2022a).…”

Section: Digitalization and Artificial Knowledgementioning

confidence: 99%

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Digitalization and artificial knowledge for accountability in SCM: a systematic literature review

Vaio

Latif

Gunarathne

et al. 2023

JEIM

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PurposeIn this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.Design/methodology/approachUsing the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.FindingsThe results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.Research limitations/implicationsThe study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.Practical implicationsThis research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.Originality/valueThis study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.

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“…, 2020; Bagloee et al. , 2021; Bisogni et al. , 2021; Hjaltadóttir and Hild, 2021; Potocka-Sionek, 2021; Nasir et al.…”

Section: Resultsmentioning

confidence: 99%

Section: Digitalization and Artificial Knowledgementioning

confidence: 99%

Digitalization and artificial knowledge for accountability in SCM: a systematic literature review

Vaio

Latif

Gunarathne

et al. 2023

JEIM

View full text Add to dashboard Cite

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“…Logistics mixes quantitative and qualitative perspectives and covers areas such as supply chain operations, technologies and IT, regulations and environmental impact. Logistics industry and its operating environment is rapidly changing and evolving and consequently the set of competencies of logistics workers must be aligned (Bisogni et al, 2021). Specialists in the field require broad functional skills, analytical skills and soft skills (such as time and conflict management and problem solving) (Wagner et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Learning logistics from MOOCs: an ample teaching cacophony

Niine

Cordova

Cantoni

et al. 2022

8th International Conference on Higher Education Advances (HEAd'22)

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MOOC landscape is evolving, also boosted by distance-learning necessity of recent health crises. Logistics is an interdisciplinary area across business processes and functions, engineering, global views and sustainability. As lifelong learning appears a new norm and it is difficult for HEIs to provide a programme with both sufficient focus on foundational skills as well as topical expertise, students and practitioners can turn to MOOCs for complementary instruction. This study presents a data collected from 198 logistics-themed MOOCs across four major platforms (edX, Coursera, FutureLearn and Udemy) to evaluate the topical availability across main areas of direct logistics expertise. Regardless of relative abundance, the study suggests both thematic gaps and criticism of MOOC development priorities. The study allows to argue against feasibility of compiling a full online programme of MOOCs, lack of linkages and of coherent design. Within current paradigm, MOOCs shall remain complementary not a substitute to college programme experience. Keywords: logistics knowledge areas, supply chain competences, MOOCs, future of higher education, lifelong learning.

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The Scarcity and Competence Gaps of Teaching Logistics in Top European Business Schools

Niine,

Küttim,

Nuus

et al. 2024

Lecture Notes in Networks and Systems

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The role of European Logistics Association 2020 Standards in facing modern industry expectations and logistics managers' competencies

Cited by 3 publications

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Digitalization and artificial knowledge for accountability in SCM: a systematic literature review

Digitalization and artificial knowledge for accountability in SCM: a systematic literature review

Learning logistics from MOOCs: an ample teaching cacophony

The Scarcity and Competence Gaps of Teaching Logistics in Top European Business Schools

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