Search results

The purpose of this paper was to develop a comprehensive best practices checklist that can be used by governing bodies to identify and evaluate an enterprise’s risk exposure around cognitive systems (CSs) and formulate mitigating internal controls that can address these risks.

COBIT 5 was scrutinised to identify the processes which are necessary for the effective governance of CSs. The applicable processes were used to identify significant risks relating to cognitive computing (CC), as well as to develop a best practices control checklist.

The research output developed was a best practices checklist and executive summary that would assist enterprises in evaluating their CC risk exposure and assess the adequacy of existing controls. The first checklist highlights the incremental risk exposure which needs to be addressed. To evaluate the effectiveness of the cognitive computing control structure, a best practices checklist was developed that can be used by internal auditors and risk and audit committees. An executive summary was developed to highlight the key focus areas that governing bodies need to consider.

The checklist provides a tool to assess the enterprises’ risk exposure, evaluate the existing CC control mechanisms and identify areas that require management attention.

The checklists and executive summary developed provides enterprises with a comprehensive checklist that can be used, while at the same time allowing them to discharge their responsibility in terms of King IV.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

This study aims to examine the factors affecting the foreign direct investment (FDI) and foreign portfolio investment (FPI) flows among the 16 economies comprising the Middle East and North African (MENA) region.

Panel data for the period 1984-2012 are used, and the generalized method of moment (GMM) technique is implemented.

The results support the agglomeration effect, which indicates that countries which have already had FDI attract more FDI in the future. Economic risk affects FDI significantly and negatively, whereas trade openness has a significant and positive impact on FDI. Of the political risk factors considered, three of them, namely, law and order, ethnic tension and internal conflict, significantly affect FDI. The results on FPI show that the lag in FPI and the degree of openness play a significant role in attracting FPI into the MENA region. In addition, stock market capitalization, as well as the return on investment affects the FPI flow positively. The study also reveals a negative government structure impact on FPI, whereas, surprisingly, religious tension in the MENA region affects FPI positively.

This research examines, simultaneously, the factors that determine not only FDI but also FPI flow. It uses a powerful econometric technique which avoids common estimation problems such as endogeneity, heteroskedasticity and autocorrelation. Policymakers in the MENA region recognized the need for outside capital as a major catalyst of development, economic growth and modernization. Therefore, it is essential to know the factors that would lead to a surge in capital flow to these countries.

The purpose of this study was to develop a suitable module for digital conservation of traditional knowledge of medicinal plants (MPs) used by tribal communities living in the Anuppur district of Madhya Pradesh, Central India.

The research used a qualitative approach to gather the data of MPs through the use of literature review and field survey. Based on the acquired data, a prototype digital learning system was constructed and assessed. This study used digital learning technologies to assess the requirements for transmitting traditional knowledge of important MPs used by tribal communities so that people can absorb and conserve them.

Over time, the focus on the digital conservation of traditional MP’s knowledge has progressively increased globally. Despite the rise in this field of study, information technology methods to preserve and distribute traditional knowledge of MPs have remained a few. When adopting digital learning to maintain traditional knowledge of MPs, it was discovered that it would be necessary to engage with relevant knowledge keepers, use multimedia, and provide content in local languages.

This study helps in conservation of important MP species that are having biologically important therapeutic compounds meant for treating various ailments. Older generations of various tribal communities mainly hold traditional knowledge of important MPs, and unless it is preserved, it will perish along with its caretakers.

It is worth looking at a digital platform that can help future generations to maintain traditional knowledge of MPs, as it is a dynamic and ever-changing, it must involve a digital tool for its future conservation. Current methods for maintaining traditional knowledge of MPs were ineffective and constrained by space and time.