{"title":"An Applied Mathematical Model for Business Transformation and Enterprise Architecture","authors":"A. Trad","doi":"10.4018/978-1-5225-8229-8.ch003","DOIUrl":"https://doi.org/10.4018/978-1-5225-8229-8.ch003","url":null,"abstract":"This chapter on an optimal and adaptable enterprise architecture for business systems is one of a series of research chapters on enterprise architecture and business transformations. This one is about estimating the risk for transforming a business environment. It is a conclusion of many years of research, architecture, consulting, and development efforts. The model is based on an applied holistic mathematical model (AHMM) for business transformations. In this chapter, the CSFs are tuned to support the intelligent architecture concepts for business integration in the form of an applied pattern that is also a part or a chapter in this research series. This chapter is related to the feasibility and prototype of the business engineering and risk management pattern (BE&RMP) that should (or shouldn't) prove whether business transformation projects can optimize enterprise business capabilities and how microartefact implementation can offer a sustainable enterprise business system.","PeriodicalId":298984,"journal":{"name":"Empowering Businesses With Collaborative Enterprise Architecture Frameworks","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127023860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Management Accounting System and Enterprise Innovation Ability","authors":"Metin Uyar","doi":"10.4018/978-1-5225-8229-8.ch006","DOIUrl":"https://doi.org/10.4018/978-1-5225-8229-8.ch006","url":null,"abstract":"The chapter aims to explain the relationship between the management accounting system and enterprise innovation ability in the context of collaborative enterprise architecture. The study explains modeling the transformation process and outlining why and how the management accounting affects enterprise innovation ability through accounting information which is focused on the decision-making process. The study uses a survey designed and administered to accountants and managers who work in Turkish manufacturing enterprises as a data provider and decision-maker. The hypotheses were tested using multivariable data analysis techniques, and additional analyses were conducted for more details. The statistical findings show that management accounting affects innovation ability positively. Both product and process innovations are positively affected by managerial accounting. There is also a significant relationship between collaborative enterprise and innovation ability. The harmony between organizational architecture and management accounting increases the company's ability to innovate.","PeriodicalId":298984,"journal":{"name":"Empowering Businesses With Collaborative Enterprise Architecture Frameworks","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132826711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Influence of Constant Returns to Scale and Variable Returns to Scale Data Envelopment Analysis Models in ICT Infrastructure Efficiency Utilization","authors":"Yinka Oyerinde, Felix Bankole","doi":"10.4018/978-1-5225-8229-8.CH007","DOIUrl":"https://doi.org/10.4018/978-1-5225-8229-8.CH007","url":null,"abstract":"A lot of research has been done using Data Envelopment Analysis (DEA) to measure efficiency in Education. DEA has also been used in the field of Information and Communication Technology for Development (ICT4D) to investigate and measure the efficiency of Information and Communication Technology (ICT) investments on Human Development. Education is one of the major components of the Human Development Index (HDI) which affects the core of Human Development. This research investigates the relative efficiency of ICT Infrastructure Utilization on the educational component of the HDI in order to determine the viability of Learning Analytics using DEA for policy direction and decision making. A conceptual model taking the form of a Linear Equation was used and the Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) models of the Data Envelopment Analysis were employed to measure the relative efficiency of the components of ICT Infrastructure (Inputs) and the components of Education (Outputs). Results show a generally high relative efficiency of ICT Infrastructure utilization on Educational Attainment and Adult Literacy rates, a strong correlation between this Infrastructure and Literacy rates as well, provide an empirical support for the argument of increasing ICT infrastructure to provide an increase in Human Development, especially within the educational context. The research concludes that DEA as a methodology can be used for macroeconomic decision making and policy direction within developmental research.","PeriodicalId":298984,"journal":{"name":"Empowering Businesses With Collaborative Enterprise Architecture Frameworks","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128840783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards an Enterprise Business Architecture Readiness Assessment Model","authors":"Tandokazi Zondani, T. Iyamu","doi":"10.4018/978-1-5225-8229-8.ch004","DOIUrl":"https://doi.org/10.4018/978-1-5225-8229-8.ch004","url":null,"abstract":"Often at times many organisations fail to achieve the objectives of their enterprise business architecture (EBA). This can be attributed to lack of assessment of readiness. This is also because there are no models specific to EBA readiness assessment. The lack of readiness assessment before deployment often results to challenges such as uncoordinated business designs, lack of flow in processes, derailment of activities, which make cost of operations prohibitive, increase complexity in managing potential risks, and service stagnancy. These challenges led to this study whose aim was to propose a solution that can be used to assess the readiness of EBA in an organisation. From the interpretivist perspective, the case study approach was employed to gain better understanding of the factors that influence the readiness of EBA in an organisation. The hermeneutics approach was applied in the analysis of the data. The sudy reveals the factors that influence the deployment of business architecture in organisations.","PeriodicalId":298984,"journal":{"name":"Empowering Businesses With Collaborative Enterprise Architecture Frameworks","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128240944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Use of an Enterprise Architecture Framework to Guide the Management of Big Data in Health Organisations","authors":"Monica Nehemia, Tandokazi Zondani","doi":"10.4018/978-1-5225-8229-8.ch002","DOIUrl":"https://doi.org/10.4018/978-1-5225-8229-8.ch002","url":null,"abstract":"Big data has gained popularity in recent years, with increased interest from both public and private organisations including academics. The automation of business processes led to the proliferation of different types of data at various speeds through information systems. Big data is generated at a high rate from multiple sources that can become complex to manage with challenges to collect, manipulate, and store data with traditional IS/IT. Big data has been associated with technical non-technical challenges. Due to these challenges, organisations deploy enterprise architecture as an approach to holistically manage and mitigate challenges associated with business and technology. An exploratory study was done to determine how EA could be used to manage big data in healthcare facilities. This study employs the interpretive approach with documentation as the analysis. Findings were governance, internal and external big data sources, information technology infrastructure development, and big data skills. Through the different EA domains, big data challenges could be mitigated.","PeriodicalId":298984,"journal":{"name":"Empowering Businesses With Collaborative Enterprise Architecture Frameworks","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128486291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementation of Big Data Analytics for Government Enterprise","authors":"N. Matiwane, T. Iyamu","doi":"10.4018/978-1-5225-8229-8.ch008","DOIUrl":"https://doi.org/10.4018/978-1-5225-8229-8.ch008","url":null,"abstract":"Within the South African government, there is an increasing amount of data. The problem is that the South African government is struggling to employ the concept of big data analytics (BDA) for the analysis of its big data. This could be attributed to know-how from both technical and nontechnical perspectives. Failure to implement BDA and ensure appropriate use hinders government enterprises and agencies in their drive to deliver quality service. A government enterprise was selected and used as a case in this study primarily because the concept of BDA is new to many South African government departments. Data was collected through in-depth interviews. From the analysis, four factors—knowledge, process, differentiation, and skillset—that can influence implementation of BDA for government enterprises were revealed. Based on the factors, a set of criteria in the form of a model was developed.","PeriodicalId":298984,"journal":{"name":"Empowering Businesses With Collaborative Enterprise Architecture Frameworks","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127402426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}