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Iraqi society has suffered from loss or fragility of human security since 2003. The developmental policies, programs and plans of the successive Iraqi Governments throughout the transitional period have not been able to achieve human security, despite the availability of different resources. They have also not prevented or limited the spread of corruption, according to domestic and international reports. Now the country faces a large phenomenon of corruption and the dilemma of human security loss. This study aims to ascertain the nature of the relationship between the phenomenon of corruption and the dilemma of loss or fragility of human security in Iraq since 2003 to learn about the form of this relationship, how the selected variables contribute to the two phenomena and determine the degree of impact of corruption and its dimensions on human security and its components.

This research uses the social survey methodology of the sample taken from the Iraqi society and benefits from system analysis approach to identify the inputs and outputs of the variables researched. Moreover, the study uses the case study methodology to collect data and information precisely in an in-depth manner to support qualitative and quantitative analysis and clarifies the situation at the macro level of both phenomena.

Findings show the prevalence of corruption structurally in the Iraqi state and society. The contribution of dimensions and selected indicators in the spread of corruption and lack of human security varies. Findings also underline a strong statistical correlation between the two variables and their reverse relationship. In other words, the more the corruption is, the less the opportunities of human security are. There is also a strong impact of corruption and its dimensions on the conditions of human security factors.

The paper provides profitable findings and recommendations, which can be used by the Iraqi relevant institutions to eliminate corruption, achieve human security and benefit from its indicators in research and development.

The new addition of this research can be represented by linking the two phenomena and trying to build national standards with the capacity to describe, interpret and predict.

This study aims at modelling the enablers of dairy supply chain (DSC) in Indian context.

Interpretive structural modelling (ISM) approach has been used to model the enabler of dairy supply chain. The opinion has been taken from the industry experts and experienced academicians. Further, Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) used to classify the enablers based on driving and dependence power.

Findings show that stakeholder trust and top management support/leadership are the very crucial enablers in dairy supply chain; they are at a lower level of hierarchical structure and work as primary enablers to development of DSC. While customer satisfaction and financial performance are at top of the digraph, it shows these enablers are the outcome of a smooth supply chain. The MICMAC analysis suggests that the identified enablers are largely classified into dependent and independent enablers; there are no autonomous enablers in the dairy supply chain.

The study can aid businesses in the dairy processing industry in managing demand fluctuations, enhancing product quality, implementing effective information systems and adapting procedures, thereby enhancing supply chain performance.

There is very limited study on enablers of the dairy supply chain in general, while in the Indian context, there is no specific study on modelling the enablers of dairy supply chain.