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This study aims to develop a system dynamics (SD) model for sustainability management driven by dynamic capabilities (DC) perspective. DC has been suggested as a vital organization theory for gaining sustainable competitive advantage. In contrast, SD has been used to model the complex system and support the decision-making process. Modeling sustainability management with SD driven from DC has not been previously investigated, particularly in global south industrial firms. This study explored the complex and dynamic relationships of the variables involved. For a simulation experiment, the study utilized a case from a large apparel industrial park in Africa, located in Ethiopia. The simulation revealed that the capability growth trend for sustainability management follows a natural sigmoid function or S curve shape supporting the dynamic hypothesis. In particular, sustainability training efforts, waste management practice, ethical management, supervision, and minimum worker's wage have been found to be influential variables and innovation points for capability growth towards sustainability management. The SD model contributes to the empirical gaps on dynamic models to overcome the challenges of firms in simultaneously managing sustainability dimensions. The study is the first to explore DC-driven sustainability management using SD, particularly from the case of a global south country. [ABSTRACT FROM AUTHOR]

The purpose of the research is to investigate the prevalence of workplace accident/injuries (policymakers) and the associated factor in Iron, Steel and Metal Manufacturing Industries (ISMMI) in Addis Ababa, Ethiopia. To achieve this objective, primary data using a questionnaire was collected from 446 production workers in 89 ISMMI. The major findings of the study showed that both availability and cultures of Personal Protective Equipment (PPE) usage are found to be lower. The prevalence of workplace AoI in the metal manufacturing industries in Addis Ababa is found to be relatively very high as compared to previous studies. Employees have mostly faced AoI such as fracture, dislocation, abrasion, suffocation, burn and piercing in their workplace. Female workers are more likely to face cut AoI than their male counterparts. Moreover, employees who are working in medium and large size industries have more likely faced exhaustion, dislocation, sprain, fracture, and burn AoI than employees who are working in small size industries. The study concluded that workplace accident in ISMMI in Addis Ababa is very high and mostly caused by the absence of and poor culture on PPE usage that requires awareness creation and interventions from policymakers to improve the working environment. [ABSTRACT FROM AUTHOR]

Purpose - Ethiopia's economy is primarily based on agriculture, but starting form 2010, the government has been determined to diversify the exports with a priority set for strategic sectors like light manufacturing in which textile and apparel manufacturing industries are included. The purpose of this paper is to measure the comparative advantages of the Ethiopian textile and apparel industry using the revealed comparative advantage (RCA) in the period from 2007 to 2016. Design/methodology/approach - For the purpose of the paper, secondary data were collected from the UN comtrade site, and related data sources were cited in the literature review for the purpose of triangulation (cross-checking of the analysis with theoretical background). From the theoretical background, the two indices of RCA (Balassa index and Lafay index) were used for the evaluation of the industries' competitive advantage and to identify which industry (textiles or apparel) was of more importance in the country. Findings - The findings of the study showed that Ethiopia was more competitive in the textile sector. However, and with reference to the Lafay index, the country has been focusing on apparel sector, because of the opportunities for job creation. Research limitations/implications - For the purpose of this study, secondary data were used and the general conclusions are limited to the corresponding sources of data. Practical implications - Because of the labor-intensive nature, the textile and apparel sector has been one of the areas promoted by the Ethiopian Government in its industrialization policy. The finding of this paper can be used by policy makers to evaluate the competitiveness of the country. Social implications - The findings can be used to assess social upgrading issues in the textile and apparel sector. Originality/value - The work is the first of its kind in the sector as well as the country. [ABSTRACT FROM AUTHOR]

This paper aimed at improving the production of a household utensils manufacturing company with flow shop scheduling heuristics. To achieve the planned production volume, a company needs to establish an optimal production sequences. A household utensils manufacturer in Ethiopia was our case company to investigate. We have studied the production sequence of a flat cooking pan, where one packed set of a flat cooking pan comprises seven diametrically ordered flat cook pans. Three production scenarios were developed based on the production line constraints of the case company. Among the various flow shop scheduling heuristics, Campbell, Dudek and Smith (CDC), and Nawaz, Enscor and Ham (NEH) methods were applied. In all production scenarios the applied heuristics yields an optimal production sequences with considerable reduction of a makespan. The optimal production sequences improved the annually planned production volume by more than 22%. Moreover, the paper discusses the performance of the applied heuristics. [ABSTRACT FROM AUTHOR]