Analyzing the structure of barriers to municipal solid waste management policy planning in Maputo city, Mozambique

Muchangos, Letícia Sarmento dos; Tokai, Akihiro; Hanashima, Atsuko

doi:10.1016/j.envdev.2015.07.002

Cited by 73 publications

(38 citation statements)

References 23 publications

(40 reference statements)

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“…Stakeholder analysis determines whose interests are relevant in the process of setting up and implementing a given policy or program [12] .it delineates aspects of social and natural phenomenon affected by a decision or action, identifies individuals, groups and ISSN 2250-3153…”

Section: Stakeholder Analysismentioning

confidence: 99%

A Stakeholder analysis of PET wastes management in Kigali, Rwanda

Umuhoza¹,

Kakshapati²,

Guendouz³

et al. 2019

IJSRP

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PET Plastic containers are the most used way of packaging beverages and other liquids in Kigali due to they are inexpensive, lightweight, strong, durable, corrosion-resistant materials, with high thermal and electrical insulation properties, their diversity of polymers and the versatility of their properties results in many societal benefits. However, their current ways of usage and disposal in Kigali are not sustainable. They can result to a multitude of health and environmental problems such us accumulation in landfills and in natural habitats, they can cause physical problems for wildlife resulting from ingestion or entanglement in plastic and also the leaching of chemicals from plastic products. The durability of plastic wastes in the environment and their potentials to transfer chemicals to wildlife and humans are dangerous. Generally, the system of Solid waste management in Kigali, especially PET waste management is a procedure that involves and affects numerous stakeholders. It requires an effective communication and collaboration among stakeholders if an improvement is to be made in the system. Throughout this study, the main stakeholders were identified with their roles, power and interest as a result of Stakeholder Analysis (SA)application. In additional to that, by using Social Network Analysis (SNA) the researcher was able to map the existing connections concerning partnerships, collaborations and the sharing of information among identified stakeholders. The findings show that though there are some well-functioning relations gaps were found in the communication and collaboration network system since some of the relations are weak, dormant or non-existing, therefore the researcher suggest a development of an extensive communication strategy that will engender effective communication and collaboration in the PET management system in Kigali. It was found that this system also luck strategic directions and innovations which limits its ability to attract and retain strategic partnerships. The Researcher recommend the formulation of strategic plan (1-3 years) and suggest of yearly themes to further enable the formation of strategic and targeted partnership to improve the current PET waste management system.

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Section: Stakeholder Analysismentioning

confidence: 99%

A Stakeholder analysis of PET wastes management in Kigali, Rwanda

Umuhoza¹,

Kakshapati²,

Guendouz³

et al. 2019

IJSRP

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“…Having done the transitivity relationship, the initial RM can be converted to a final RM as shown in the table 4. [35].…”

Section: Practical Application Of Ismmentioning

confidence: 99%

“…MICMAC analysis is done to identify the key factors that drive the system in various categories. In relation to their drive power and dependence power, factors are classified into four categories such as autonomous factors, linkage factors, dependent factors, independent factors [33,34,35,36]. The first category autonomous factors; these factors have weak drive power and weak dependence power.…”

Section: Intersection Set R (Si) ∩ a (Si)mentioning

confidence: 99%

Analysing Factors Influencing Occupational Benzene Exposure Concentration in Loading Operations at Gasoline Storage and Distribution Facility in Developing Countries

Nguema

Tokai²,

Nguyen³

et al. 2019

AJAS

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Refined petroleum products are handled in gasoline storage and distribution facility to be conveyed to the end users. These are done through loading operations. During loading operations benzene vapor escape from various emissions sources and the level of benzene exposure concentration alter, based on several factors. However, the lack of monitoring data in some oil exporting developing countries, makes challenging the chemical exposure assessment in these facilities. Therefore, identifying, prioritizing and understanding the interactions of factors that influence benzene exposure concentration during loading operations at gasoline storage and distribution facility in developing country would help management to conduct a more comprehensive and accurate chemical risk assessment. The interpretive structural modeling methodology for identifying the direct and indirect relationships between the factors describe the situation far more accurately than an individual factor taken in isolation. Therefore, represents the suitable tool to conduct our research. The results of this study reveals that the identified factors such as: â€˜â€™productâ€™â€™, â€˜â€™regulationâ€™â€™, â€˜â€™working practicesâ€™â€™ and â€˜â€™installationâ€™â€™ are the most influential for benzene exposure concentration level at gasoline storage and distribution facility in developing countries. Based on those results, management should tackle first these factors before others and emphasize on strategy to improve these factors with the view of providing a safe working place through a benzene exposure concentration level lower than the occupational exposure limit.

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“…52 To overcome the weakness of ISM, it is hybridized with the DEMATEL technique by various researchers. 53,54 As DEMATEL technique facilitates to find out the magnitude of the relational impact of the factors, it considers all the direct and indirect effects to find the strength of relations, but it is unable to categorize the level of the elements. Hence, an integrated approach of DEMATEL and ISM has been suggested by 55 and found useful to get the detailed analysis of all the elements involve in a system.…”

Section: Interpretive Structural Modelingmentioning

confidence: 99%

Migration of PLM systems to cloud

Singh

Misra

2018

Int J Communication

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Cloud computing and cloud applications are emerging as the latest technology.Cloud applications are developing very fast and adopted by most of the firms around the globe. The cloud applications are widely accepted and considered as a notion of the digitized era, but the cloud product lifecycle management (PLM) is not adopted much in Indian firms. Cloud PLM is an upcoming cloud application, but its adoption entails various challenges. Considering this fact, the paper aims to empirically investigate the critical challenges encountered by many firms for migration to of cloud PLM. A multicriteria decision making method, grey Decision Making Trial and Evaluation Laboratory along with interpretive structural modeling are employed to identify the causal challenges and their hierarchy to cloud PLM adoption. This empirical study brings out "data security" and "trust on solution provider" as the most important and critical challenges for migration to cloud PLM adoption. The findings may act as a guide for the managers in manufacturing firms in identifying the critical challenges to utilize the benefits of cloud PLM over on-premise PLM systems.

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Analyzing the structure of barriers to municipal solid waste management policy planning in Maputo city, Mozambique

Cited by 73 publications

References 23 publications

A Stakeholder analysis of PET wastes management in Kigali, Rwanda

A Stakeholder analysis of PET wastes management in Kigali, Rwanda

Analysing Factors Influencing Occupational Benzene Exposure Concentration in Loading Operations at Gasoline Storage and Distribution Facility in Developing Countries

Migration of PLM systems to cloud

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