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Article
Publication date: 27 November 2023

Ismail Abushaikha, Rana Albahsh, Mustafa Alsayes and Mohammad Al-Anaswah

Existing literature is still lacking field works that reflect the implications and applications of blockchain in supply chain management. This paper aims to explore the role of…

Abstract

Purpose

Existing literature is still lacking field works that reflect the implications and applications of blockchain in supply chain management. This paper aims to explore the role of blockchain technology in improving the performance of maritime shipping and develop a model to enhance blockchain applicability.

Design/methodology/approach

Qualitative data were collected through 28 semi-structured interviews from several supply chain actors in the Middle East and were analyzed based on a thematic analysis approach using NVivo software.

Findings

An emerging model for improving the performance of the maritime shipping industry through blockchain technology has been developed. The findings suggest that there are transparency and process efficiency–related improvements as an outcome of Blockchain implementation in the maritime shipping industry.

Practical implications

As shipping industry is largely fragmented, small players find it difficult to achieve great benefits such as those achieved by larger players in the sector. The authors’ model provides guidance for the implementation of Blockchain.

Originality/value

To the best of the authors’ knowledge, this is one of the first scholarly works to investigate Blockchain applicability in shipping industry in the Middle East. The lack of a universal standard is a considerable challenge which is still hindering the development of blockchain applications that integrate the different actors.

Details

Measuring Business Excellence, vol. 28 no. 1
Type: Research Article
ISSN: 1368-3047

Keywords

Article
Publication date: 26 January 2023

Mohammad Ta'Amnha, Mohannad Jreissat, Ghazi Samawi, Luai Jraisat, Omar M. Bwaliez, Anil Kumar, Jose Arturo Garza-Reyes and Arvind Upadhyay

Lean management is a contemporary management system that firms adopt to boost their performance. Lean management can be integrated with human resources management to develop a new…

Abstract

Purpose

Lean management is a contemporary management system that firms adopt to boost their performance. Lean management can be integrated with human resources management to develop a new concept of lean human resources management (LHRM). This entails the implementation of several practices. However, the LHRM–performance paradigm remains underexplored in the literature. Hence, this study aims to examine the interrelationships between LHRM practices and the impacts of those practices on firm performance (FP).

Design/methodology/approach

Using two equal-sized samples (n = 250 each) of manufacturing firms in Jordan and Germany, this study proposes two structural equation models (i.e. a Jordanian and a German models) depicting the interrelationships between LHRM practices and the impacts of those practices on FP. After testing these models, a comparison between them is conducted, producing findings with theoretical and practical implications.

Findings

The main findings of this study indicate that the average implementation of LHRM practices among German manufacturing firms is at a higher level than the average implementation among Jordanian firms. The findings also support the proposed interrelationships between LHRM practices and the impact of those practices on FP for both the Jordanian and German models.

Originality/value

To the best of the authors’ knowledge, this study is among the first to highlight the proposed relationships, both in general and in the context of comparing developed and developing countries. Its findings have important implications that can enable manufacturing managers to benefit from the implementation of LHRM practices to enhance FP in different contexts. These findings provide valuable insights for human resource managers and decision-makers and open several avenues for future research.

Details

International Journal of Lean Six Sigma, vol. 14 no. 7
Type: Research Article
ISSN: 2040-4166

Keywords

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