Current workflow management systems need a deep insight into the design of organization’s business process. Creating a business workflow design is sometimes complicated, inaccurate, time-consuming and non-error free. This business process design requires adequate tools and techniques needed to help organizations or companies achieve their desirable target. To aid the support of workflow, scholars have proposed the use of workflow mining which helps organizations have a deep insight into their business processes. This study gives an in-depth analysis on the current trend of workflow mining and also discusses their strengths and limitations/weaknesses. Most existing approaches produces models that are generalized, incomplete, not well represented and shows only fuzzy pictures of the workflow investigated. The challenging issues that arise as a result of inaccurately applying the right algorithm to construct a work model from workflow logs are also highlighted. There is need to make appropriate selection for a good mining algorithm to avoid any setback and understanding the organization business workflow processes for business design, modeling, resource strategy and planning control. It is essential to have a comprehensive characterization study of workflow mining algorithms. The resulting insights provides a foundation for such workflow mining algorithms necessary for improving business processes schemes as well as for the effectiveness of future services and application

Cloud computing is a desirable paradigm that is providing services to users in a convenient manner and ensuring that Cloud service providers have value for their infrastructure. Applications designed to run explicitly on the Cloud are usually referred to as Cloud-native applications. Determining a research focus in a particular field of study is sometimes challenging. A systematic mapping study gives an insight into the research level that is being conducted in any field of interest. The results generated from such study are presented using a map. The method used in this study was analyzing three facets categories namely, topics, research and contribution. Topics were retrieved from primary studies, while type of research such as evaluation and contribution such as tool, were used in the analysis. The objective of this study is to conduct a systematic mapping study of Cloud-native applications designs and engineering. This will provide an insight into the frequency of work that has been done in cloud-native applications area. The results showed that from publications relating to security in the field of metric (1.94%), more articles in the topic of application in terms of tool (13.59%), more work done on architecture in terms of model (15.53%), more papers published on Cloud migration in the area of method (10.68%). Furthermore, 11.82% publications were identified on applications in terms of evaluation research, more publication on implementation in the area of validation research (1.82%), more publications on implementation in solution research (6.36%), more publications on security and application with respect to philosophical research (1.82%) and more work done on applications in terms of experience research (6.36%). From the study, several gaps were identified which would be beneficial to researchers, practitioners and providers.

There has been claims and reports that 70% of m-commerce in Nigeria failed due to non-interactive, non-responsive and non-interesting platform. Despite the popularity and growth of m-commerce globally, developing countries like Nigeria seems to be lagging behind and at the same time, many mcommerce sites have been reported to close down due to unprofitability. The key factors that contribute to this failure are health, literacy e-literacy language and accessibility barrier.

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