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Article
Publication date: 28 July 2023

Mulugeta Kebede Adem and Sandeep Singh Virdi

This study aims at examining the effect of total quality management (TQM) practices on the financial performance ISO 9001:2008 certified manufacturing companies in Ethiopia with a…

Abstract

Purpose

This study aims at examining the effect of total quality management (TQM) practices on the financial performance ISO 9001:2008 certified manufacturing companies in Ethiopia with a mediating role of operational performance.

Design/methodology/approach

A cross-sectional survey research was conducted to meet the purpose. Data used for the study were solely primary data and were collected from the top and middle-level managers of different departments and senior experts working under the production/operation and quality management units of the target organizations. Data were obtained from 302 participants working in 73 companies using a self-administered questionnaire. Structural equation modelling (SEM) technique was applied to test the hypotheses positing the structural link between TQM practices, operational performance and financial performance.

Findings

The findings show that TQM practices had a significant direct and positive effect on both operational performance and financial performance and that operational performance significantly affects financial performance. The bootstrapping output of the mediation analysis also established that operational performance partially mediates the causal link between TQM practices and financial performance.

Research limitations/implications

The empirical evidence provided by the present study provides helpful insights and guidance to managers to make a good deal of investment in maintaining enhanced performance outcomes under the operations stream that eventually would lead to better financial outcome.

Originality/value

Being one of the first attempts to empirically examine the structural linkages among TQM practices, operational performance and financial performance in Ethiopian manufacturing organizations, this paper provides strategic insights on the importance of implementing TQM practices in a holistic manner for the achievement of better performance outcomes.

Details

International Journal of Quality & Reliability Management, vol. 41 no. 1
Type: Research Article
ISSN: 0265-671X

Keywords

Open Access
Article
Publication date: 23 October 2023

Dafnis N. Coudounaris and Peter Björk

This paper aims to investigate the internal factors of resources and capabilities of five born globals (BGs) from Estonia. It explores quantitatively the internal factors between…

Abstract

Purpose

This paper aims to investigate the internal factors of resources and capabilities of five born globals (BGs) from Estonia. It explores quantitatively the internal factors between a medium BG and four small BGs.

Design/methodology/approach

The study used a survey questionnaire in collecting information from the CEOs of BGs. The questionnaire consisted of 105 questions relevant to export sales related to differences in internal factors.

Findings

The firms’ size and industrial sector play a role in export sales due to differences in internal factors. Small BGs expect financially based rewards, non-financial rewards, the job satisfaction of sales representatives with the export manager, and with work in general, and the representatives’ job satisfaction is higher in the small BGs than in the medium BG. The sales representatives’ job performance, their work performance, sales presentations, technical knowledge, adaptiveness, teamwork, planning, support, the organisational capabilities for business identification, relationship-building and innovation are all higher in medium BGs than in small BGs. Eleven sub-constructs of the model were shown to be important for small BGs.

Originality/value

The current study is focused on BGs from Estonia, i.e. small BGs and medium BGs. The study contributes to the internal factors of resources and capabilities of BGs as well as to the literature review on BGs. It also provides a logical conceptual model, indicating that the export manager’s job satisfaction is the central construct influenced by antecedent factors and is related directly to the export sales performance of the BG.

Article
Publication date: 28 June 2022

Samirasadat Samadi and Mohammad Saeed Taslimi

This study aims to review the features and challenges of the flood relief chain, identifies administrative measures during and after the flood occurrence and prioritizes them…

Abstract

Purpose

This study aims to review the features and challenges of the flood relief chain, identifies administrative measures during and after the flood occurrence and prioritizes them using two machine learning (ML) and analytic hierarchy process (AHP) methods. This paper aims to provide a prioritization program based on flood conditions that optimize flood management and improves society’s resilience against flood occurrence.

Design/methodology/approach

The collected database in this paper has been trained by using ML algorithms, including support vector machine (SVM), Naive Bayes (NB) and k-nearest neighbors (kNN), to create a prioritization program. Furthermore, the administrative measures in two phases of during and after the flood are prioritized by using the AHP method and questionnaires completed by experts and relief workers in flood management.

Findings

Among the ML algorithms, the SVM method was selected with 91.37% accuracy. The prioritization program provided by the model, which distinguishes it from other existing models, considers five conditions of the flood occurrence to prioritize actions (season, population affected, area affected, damage to houses and human lives lost). Therefore, the model presents a specific plan for each flood with different occurrence conditions.

Research limitations/implications

The main limitation is the lack of a comprehensive data set to determine the effect of all flood conditions on the prioritization program and the relief activities that have been done in previous flood disasters.

Originality/value

The originality of this paper is the use of ML methods to prioritize administrative measures during and after the flood and presents a prioritization program based on each flood’s conditions. Therefore, through this program, the authority and society can control the adverse impacts of flood more effectively and help to reduce human and financial losses as much as possible.

Details

International Journal of Disaster Resilience in the Built Environment, vol. 15 no. 1
Type: Research Article
ISSN: 1759-5908

Keywords

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