Forthcoming and Online First Articles

International Journal of Logistics Economics and Globalisation

International Journal of Logistics Economics and Globalisation (IJLEG)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Logistics Economics and Globalisation (4 papers in press)

Regular Issues

  • Opinion mining to win consumers in the e-commerce space A case study approach   Order a copy of this article
    by Santhosh Kumar Arjunan, Punniyamoorthy M, Ernest Johnson 
    Abstract: The word social media where social refers to an interaction between individual or business to actively share their opinion about topics of common interests and the word media refers to the channel where this information sharing occurs. Though the age of social media was more than two decades, in recent years the traction for using this information for decision making saw a huge surge. This paper explains one of the aspects of how the opinion of the customers affects the business and how the business leverages this information to make decisions. This research evaluates not only product reviews on a whole but also focused on the different aspects or features that contributed to the positive or negative reviews by using customized domain-specific libraries. Also, this paper uses a hybrid custom kernel function for opinions mining. Finally, we measured the performance of the product at two different time frames and their impact.
    Keywords: Opinion mining; Similarity distance kernel; Hybrid kernel functions; e-commerce; Product reviews.

  • Impact Assessment of Logistics Management (LM) Practices on Supply Chain Management Performance in the Automobile Industry in India   Order a copy of this article
    by Jagdeep Singh, Shivoham Singh, Mamta Kumari 
    Abstract: Supply chain is the biggest contributor to overall value creation. Logistics is core of the SCM. Due to multiple challenges, firms are exposed to innovation, creation & integration of right processes and logistics & overall SCM efficiency and more. The research purpose was the impact assessment of logistics management practices (LMPs) on SCM performance in automobile industry in India. The research found few gaps between expectations (agreement) and perception (adoption) of LM practices. The study covered 98% of the population from 3 major clusters in India. Data collected through a well-designed questionnaire (with Likert Scale (1-5) & dichotomous Questions) through F2F interviews and emails. Data analyzed using MS Excel and SPSS. Results suggested that industry has high level of expectations but unable to implement the best LM practices or unable to utilize benefits of LM practices at most. Therefore, research recommended monitoring operational functions carefully to improve the perception.
    Keywords: LM; SCM; LM Practices; Logistics Management; Supply Chain; Supply Chain Management; SCM Performance.

  • Performance assessment of seaport container terminals of India using Data Envelopment Analysis   Order a copy of this article
    by Binay Kumar Rajak, Amit Upaghyay 
    Abstract: This study provides a systematic investigation of the performance of India's seaport container terminals. The aim of this study is to assess the terminals performance by evaluating their relative efficiencies using Data Envelopment Analysis along with the window analysis for the sensitivity of the results. Our analysis identifies efficient and inefficient terminals and evaluates their efficiency over time. We find that landlord-operated terminals managed by major ports located on the western coast are better performing than private terminals managed by minor ports on the eastern coast. However, two landlord-operated terminals of major ports on the eastern coast are found to be the most efficient. Our study suggests the scope of improvement for the inefficient terminals and concludes with managerial insights for maritime transport stakeholders.
    Keywords: Data Envelopment Analysis (DEA); Container terminals; Seaports; Efficiency; Port performance; Benchmarking; Window analysis.

  • The correlation of firm and owner-operator family performance: Analysis of the last-mile transport system in Mexico   Order a copy of this article
    by Max Revuelta, Andrée Lopez-Fernandez 
    Abstract: In Mexico, the commercial relationship between owner-operator truck drivers and supply chains in the last-mile transport system is unbalanced; as contracting companies are favored, transporters are disadvantaged which reduces competitiveness. Further, the impact of owner-operator truck drivers families on company performance has been ignored. The alignment of a companys actions with owner-operator truck drivers families wellbeing, meaning work-family integration, implies creating an optimal environment for them to tend to their family responsibilities. The question is how does corporate family responsibility (CFR) impact owner-operator truck drivers work-family balance and improve family performance? This empirical study shows that CFR is strongly associated with collaborators family wellbeing, and owner-operator truck drivers family performance correlates with their and the hiring firms performance; further, the latter improves their work-family relationship and, in turn, their profitability. In other words, performance is positively impacted when all parties involved take an active role in wellbeing and productivity. The study contributes to previous literature on CFR, owner-operator truck driver and hiring company dynamics, family and firms performance, as well as to the understanding of the implications of family performance on organizational performance.
    Keywords: Performance; family performance; owner-operator truck driver; work-family balance; corporate family responsibility.