John P Matekenya

Psychometrics assessments for personality are tools that organisations use to discover the personality of potential hire and make determinations as to whether they will fit into the organisation and the job. Despite the pedigree of psychometric assessments, such as the big five inventory assessment, questions are being asked about the reliability of the results. The reasons for the scepticism are reproducibility of results and social desirability bias. The implementation of machine learning technologies can improve the reliability of the results by learning from historical datasets to make more accurate predictions on how well a candidate based on personality will fit into an organisation. This paper explores the current implementation of psychometric tests and suggests integrating machine learning into the workflow. The author finally does a SWOT analysis of the potential implementation.

Most business leaders in Malawi see the Malawi Trade Portal (MTP) as a step forward in the provision of public information via online platforms and the promotion of transparency in the delivery of public services. Its purpose is to facilitate trade by promoting easier access to information on laws, regulations, measures, standards, procedures, and forms related tothe governance of exports, imports, and transit of goods. This SmartLesson describes how the MTP is helping authorities facilitate trade by increasing transparency and accountability and by reducing the time it takes to access regulatory information on trade across borders. and it shares the lessons the authors believe are the most replicable.