International Journal of Productivity Management and Assessment Technologies (IJPMAT) - Current IssueInternational Journal of Productivity Management and Assessment Technologies (IJPMAT)https://www.igi-global.com/journal/international-journal-productivity-management-assessment/45937IGI GlobalenInternational Journal of Productivity Management and Assessment Technologies (IJPMAT)2160-98372160-9845© 2019 IGI Globalecontent@igi-global.comInternational Journal of Productivity Management and Assessment Technologies (IJPMAT)https://coverimages.igi-global.com/cover-images/covers/ijpmat.pnghttps://www.igi-global.com/journal/international-journal-productivity-management-assessment/45937Influence of Business Competitiveness on SMEs Performancehttps://www.igi-global.com/article/influence-of-business-competitiveness-on-smes-performance/230349Small and medium enterprises (SMEs) play a pivotal role in fostering socioeconomic development especially in developing countries. They create employment opportunities, empower communities, and make positive contributions towards GDP. The objective of this study is to understand the influence of business competitiveness on SMEs performance through a case study of auto body repairs SME enterprise in Namibia referred to as ABR for confidentiality. The methodology is mixed methods with in depth literature review, and detailed multiple case studies on eleven medium sized auto-body repair enterprises. The analysis is through strategy tools supported by secondary and published data and reports. The findings reflect that although ABR has a sound credit rating with local financial institutions and there are opportunities for growth, ABR also needs to invest in equipment to become more competitive and strengthen its market.10.4018/IJPMAT.2019070101International Journal of Productivity Management and Assessment Technologies (IJPMAT), Volume: 7, Issue: 2 (2019) Pages: 1-25Baporikar, NeetaBusiness and Organizational ResearchBusiness & ManagementBusiness Process Management2019-07-01T04:00:00Z721252019-07-01T04:00:00ZSoftware Estimation Framework for Mobile Application Projectshttps://www.igi-global.com/article/software-estimation-framework-for-mobile-application-projects/230350As mobile devices are becoming the primary access channels for information, the authors need to have accurate effort estimation model for mobile application projects. In this paper the authors discuss “Mobile application estimation framework” that was designed based on 14 mobile application projects and was validated against 5 mobile application projects. In this paper the authors discuss the estimation framework for both native/hybrid mobile application projects and mobile web application projects. The proposed “Mobile application estimation framework” provides comprehensive coverage for various factors involved in mobile estimation such as layer-wise components, horizontal components and others. The estimation framework also considers the cost drivers and is used as effort adjustment factor. The proposed mobile application estimation framework achieved the MMRE of 0.207 with pred (0.3) of 80%.10.4018/IJPMAT.2019070102International Journal of Productivity Management and Assessment Technologies (IJPMAT), Volume: 7, Issue: 2 (2019) Pages: 26-40Kumar, ShaileshKoppar, Anant R.Business and Organizational ResearchBusiness & ManagementBusiness Process Management2019-07-01T04:00:00Z7226402019-07-01T04:00:00ZNormalized Sprint Estimationhttps://www.igi-global.com/article/normalized-sprint-estimation/230351Accurate estimation of software projects is quintessential for overall success of the project. Estimation of agile projects adopted in most of the modern software projects is challenging due to lack of historical data and due to dynamic characteristics of the agile projects. In this paper we introduce “Normalized Sprint Estimation” method which factors in dynamic characteristics of the agile projects such as non-functional requirements, sprint success factors and such. The author applied the normalized sprint estimation method to 14 sprints from three digital projects and the predicted estimation values had Pred (0.3), more than 80%. Though the normalized sprint estimation model is tested for digital projects, the same methodology can be applied for software projects from other domains as well.10.4018/IJPMAT.2019070103International Journal of Productivity Management and Assessment Technologies (IJPMAT), Volume: 7, Issue: 2 (2019) Pages: 41-58Kumar, ShaileshBusiness and Organizational ResearchBusiness & ManagementBusiness Process Management2019-07-01T04:00:00Z7241582019-07-01T04:00:00Z