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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.

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.

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.

For the purpose of this study, secondary data were used and the general conclusions are limited to the corresponding sources of data.

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.

The findings can be used to assess social upgrading issues in the textile and apparel sector.

The work is the first of its kind in the sector as well as the country.

Management commitments (MCs) have a prominent effect to create a safe work environment in the industries. Though there have been various studies on the prevalence and associated factors of OHS in Ethiopian manufacturing industries, the role of MCs in improving workplace safety, however, has not been studied so far. The purpose of this paper is, therefore, to investigate the role of MCs on improving OHS in iron, steel and metal manufacturing industries (ISMMI) in Addis Ababa.

This paper used a close-ended questionnaire to collect primary data from 89 ISMMI and fitted the data in structural equation modelling (SEM) techniques using SPSS and AMOS.

The major findings of the study showed that directly or indirectly there are good MCs in Ethiopian ISMMI. To some extent, MCs have also resulted in reducing risk and diseases causing factors, which subsequently reduced occupational risks and disease. However, the study showed that MCs are not strategically supported.

Due to the limited scope of data collection, the research results may not be equally implemented outside Addis Ababa and other sectors.

The findings of the research may help policymakers and managers to strictly control MCs and follow up implementation of OHS policies.

This paper is the first of its kind in developing the conceptual framework model and attempting to assess MCs using structural equation model towards improving OHS in ISMMI.

This research aims to investigate critical success factors, barriers and initiatives of total productive maintenance (TPM) implementation in selected manufacturing industries in Addis Ababa, Ethiopia.

This study built and looked into a conceptual research framework. The potential barriers and success factors to TPM implementation have been highlighted. The primary study techniques used to collect relevant data were a closed-ended questionnaire and semi-structured interview questions. With the use of SPSS version 23 and SmartPLS 3.0 software, the data were examined using descriptive statistics and the inferential Partial Least Square Structural Equation Modeling (PLS-SEM) techniques.

According to the results of descriptive statistics and multivariate analysis using PLS-SEM, the case manufacturing industries' TPM implementation initiative is in its infancy; break down maintenance is the most widely used maintenance policy; top managers are not dedicated to the implementation of TPM; and there are TPM pillars that have been weakly and strongly addressed by the case manufacturing companies.

The small sample size is a limitation to this study. It is therefore challenging to extrapolate the research findings to other industries. The only manufacturing KPI utilized in this study is overall equipment effectiveness (OEE). It is possible to add more parameters to the manufacturing performance measurement KPI. The relationships between TPM and other lean production methods may differ from those observed in this cross-sectional study. Longitudinal experimental studies and in-depth analyses of TPM implementations may shed further light on this.

Defining crucial success factors and barriers to TPM adoption, as well as identifying the weak and strong TPM pillars, will help companies in allocating their scarce resources exclusively to the most important areas. TPM is not a quick solution. It necessitates a change in both the company's and employees' attitude and their values, which takes time to bring about. Hence, it entails a long-term planning. The commitment of top managers is very important in the initiatives of TPM implementation.

This study is unique in that, it uses a new conceptual research model and the PLS-SEM technique to analyze relationships between TPM pillars and OEE in depth.

This study aims to design a multivariate control chart that improves the applicability of the traditional Hotelling T² chart. This new type of multivariate control chart displays sufficient information about the states and relationships of the variables in the production process. It is used to make better quality control decisions during the production process.

Multivariate data are collected at an equal time interval and are represented by nodes of the graph. The edges connecting the nodes represent the sequence of operation. Each node is plotted on the control chart based on their Hotelling T² statistical distance. The changing behavior of each pair of input and output nodes is studied by the neural network. A case study from the cement industry is conducted to validate the control chart.

The finding of this paper is that the points and lines in the classic Hotelling T² chart are effectively substituted by nodes and edges of the graph respectively. Nodes and edges have dimension and color and represent several attributes. As a result, this control chart displays much more information than the traditional Hotelling T² control chart. The pattern of the plot represents whether the process is normal or not. The effect of the sequence of operation is visible in the control chart. The frequency of the happening of nodes is recognized by the size of nodes. The decision to change the product feature is assisted by finding the shortest path between nodes. Moreover, consecutive nodes have different behaviors, and that behavior change is recognized by neural network.

Modifying the classical Hotelling T² control chart by integrating with the concept of graph theory and neural network is new of its kind.

This study aims to show what interventions in human factors can effectively reduce construction workers' unsafe behavior.

A diagnostic intervention model targeted the construction workers' weakest internal factors. The workers' behavior and cognition data were collected via a questionnaire and a video camera system from two medium-sized construction sites. A safety supervisor accompanied each site supervisor to improve construction workers' internal factors by implementing the designed intervention measures.

The statistical analysis results confirmed a persistent positive effect on construction workers' safe behavior by improving internal factors. Among the intervention programs applied, those aimed to improve the subjective norms, safety knowledge and attitudes had the most significant effect sizes.

The findings of this case study advise project managers to design a specific behavioral intervention that aims at improving construction workers' significant internal factors, including subjective norms, safety attitudes, habits and knowledge together with demographic characteristics to reduce construction workers' unsafe behavior.

While the declining rate of construction accidents approaches an asymptote which is still high, this study suggests that targeting the individual internal factors through diagnostic interventions is the key to further reduce the rate by improving construction workers' behavior.

Ecotourism has emerged as a new hope of the tourism sector and is expected to overcome past pitfalls of mass tourism. Therefore, the purpose of this paper is to assess the potentials and challenges of ecotourism development in the historic and sacred sites of North Shewa Zone, Ethiopia.

Data were collected through interview, household questionnaire, field observation and focused group discussion. The collected data were analyzed using Statistical Package for Social Science (SPSS version 23) and Excel.

Based on household’s perception, churches and monasteries were mentioned as the main (17.58%) ecotourism attractions that have crucial role in ecotourism development in the area followed by biodiversity resources (17.23%) and Holy Water (16.01%). These existing ecotourism potentials and opportunities were discussed on the basis of five dimensions, i.e. historical and sacred attractions, biological attractions, cultural attractions, infrastructures and institutional potentials. The mean score values of a five-point Likert scale level of agreement or disagreement of respondents were between 2 and 4.5, implying overall responses of respondents spread between agree and strongly agree.

The findings reveal that although the historic and sacred sites of the area have potential ecotourism opportunities, different anthropogenic activities are affecting its development. The researchers recommended awareness creation programs, promotion of sites, development of infrastructures, employments of well-trained professionals and allocation of sufficient budgets as a mechanism to use the ecotourism potential and solving the existing challenges.