scholarly journals Design science research contribution to business intelligence in the cloud — A systematic literature review

2016 ◽  
Vol 63 ◽  
pp. 108-122 ◽  
Author(s):  
Odette Sangupamba Mwilu ◽  
Isabelle Comyn-Wattiau ◽  
Nicolas Prat
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Business Intelligence ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Research Contribution

What to Consider in a Systematic Literature Review: Three Examples from Design Science Research

2021 ◽  
pp. 191-199
Author(s):  
Ana Paula Cardoso Ermel ◽  
D. P. Lacerda ◽  
Maria Isabel W. M. Morandi ◽  
Leandro Gauss
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Design Science ◽  
Science Research ◽  
Design Science Research

A Framework for Building Mature Business Intelligence and Analytics in Organizations

2020 ◽  
Vol 31 (3) ◽  
pp. 14-39
Author(s):  
Amrita George ◽  
Kurt Schmitz ◽  
Veda C. Storey
Keyword(s):  
Business Intelligence ◽  
Delphi Study ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Maturity Model ◽  
Business And Society ◽  
Managerial Decision ◽  
Work Systems ◽  
Modified Delphi

As activities are increasingly being digitalized in business and society, organizations have sought ways to effectively and competitively, use data. Business intelligence and analytics (BI&A) systems which support managerial decision-making continue to be developed and used. Given the importance of these systems, it would be useful to have a comprehensive and mature guide to support their development and improvement. This research proposes a BI&A Competitive Advantage Maturity Model to identify the main technical and non-technical dimensions of a system to support business intelligence and analysis. The model is based on work systems theory and related research. It maps descriptive characteristics of its main dimensions across analytic adoption stages of aspirational, experienced, and transformed. The development of the model employed a modified Delphi study technique, design science research, and citation analysis.

scholarly journals The Research Method we Need or Deserve? A Literature Review of the Design Science Research Landscape

2020 ◽  
Author(s):  
Tadhg Nagle ◽  
Cathal Doyle ◽  
Ibrahim Alhassan ◽  
David Sammon
Keyword(s):  
Literature Review ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Status Quo ◽  
Actual Performance ◽  
Community Needs ◽  
Coding Scheme ◽  
Senior Scholar ◽  
The Status

Despite multiple efforts by senior scholars, Design Science Research is viewed as underperforming given its distinct value for the IS domain. Conducting a descriptive literature review, this study sets out to survey the DSR landscape in the Senior Scholar Basket to measure the actual performance of DSR and provide a benchmark for future DSR strategies and studies. Reviewing 111 studies using a coding scheme developed over seven iterations, the status quo of DSR is depicted and analyzed. The results present: (i) the current balance between theoretical and practical impacts achieved in DSR, (ii) a pattern of perpetual black box prototyping, and (iii) a reluctance to tackle real-world messy problems and deliver practically useful artefacts. Finally, the study provides the IS community with the opportunity to reflect on the shape DSR has taken and decide if indeed this is what the community needs or deserves.

scholarly journals The Research Method we Need or Deserve? A Literature Review of the Design Science Research Landscape

2020 ◽  
Author(s):  
Tadhg Nagle ◽  
Cathal Doyle ◽  
Ibrahim Alhassan ◽  
David Sammon
Keyword(s):  
Literature Review ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Status Quo ◽  
Actual Performance ◽  
Community Needs ◽  
Coding Scheme ◽  
Senior Scholar ◽  
The Status

Despite multiple efforts by senior scholars, Design Science Research is viewed as underperforming given its distinct value for the IS domain. Conducting a descriptive literature review, this study sets out to survey the DSR landscape in the Senior Scholar Basket to measure the actual performance of DSR and provide a benchmark for future DSR strategies and studies. Reviewing 111 studies using a coding scheme developed over seven iterations, the status quo of DSR is depicted and analyzed. The results present: (i) the current balance between theoretical and practical impacts achieved in DSR, (ii) a pattern of perpetual black box prototyping, and (iii) a reluctance to tackle real-world messy problems and deliver practically useful artefacts. Finally, the study provides the IS community with the opportunity to reflect on the shape DSR has taken and decide if indeed this is what the community needs or deserves.

scholarly journals A Business Intelligence & Analytics Framework for Clean and Affordable Energy Data Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 638
Author(s):  
Mihaela Muntean ◽  
Doina Dănăiaţă ◽  
Luminiţa Hurbean ◽  
Cornelia Jude
Keyword(s):  
Data Analysis ◽  
Business Intelligence ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Energy Data ◽  
Country Case Study ◽  
Strongly Connected ◽  
Data Source ◽  
Data Visualizations

Energy is the sector most strongly connected with climate change moderation, and this correlation and interdependency is largely investigated, in particular as regards renewable energy and sustainability issues. The United Nations, European Union, and all countries around the world declare their support for sustainable development, materialized in agreements, strategies, and action plans. This diversity, combined with significant interdependencies between indicators, brings up challenges for data analysis, which we have tackled in order to decide on relevant indicators. We have built a research framework based on Business Intelligence & Analytics for monitoring the SDG7 indicators that aim at “Ensuring access to affordable, reliable, sustainable, and modern energy for all”, in relation with SDG13 indicators targeting the sustainable aspect of energy. In developing the Business Intelligence & Analytics framework, we have considered Design Science Research in information systems guidelines. We have designed a process for carrying out Design Science Research by describing the demarche to develop information artifacts, which are the essence of a Business Intelligence & Analytics system. The information artifacts, such as data source, preprocessed data, initial and final data model, as well as data visualizations, are designed and implemented in order to support clean and affordable energy data analysis. The proposed research model, applied for Romania in this paper, serves as a point of departure for investigating data in a more integrated way, and can be easily applied to another country case study.

scholarly journals Uma Análise do Perfil dos Cursos de Licenciatura em Computação no Brasil

2021 ◽  
Vol 29 ◽  
pp. 01-24
Author(s):  
Andre Menolli ◽  
Joao Coelho Neto
Keyword(s):  
Business Intelligence ◽  
Design Science ◽  
Science Research ◽  
Design Science Research

O pensamento computacional vem ganhando importância na educação básica, como instrumento para o desenvolvimento da aprendizagem, e os cursos de licenciatura em computação são responsáveis pela formação de profissionais capacitados para fomentá-lo. Desse modo, o objetivo dessa pesquisa é mapear os cursos de licenciatura em computação no Brasil, a fim de apresentar um panorama referente ao perfil destes cursos e identificar fatores associados à taxa de evasão. Para o método de pesquisa, utilizou-se o design science research, sendo definido e implantado um método para análise de dados públicos baseado em business intelligence. Após o método ter sido implantado, dados das instituições do ensino superior no Brasil foram analisados, sendo explorado o perfil dos cursos e alunos de licenciatura em computação, em especial o fenômeno da evasão. Os resultados mostram diferenças nas taxas de evasão em relação à etnia, tipo de cidade onde o curso está localizado, tipo de instituição, modalidade de ensino, ano de ingresso no curso e período do curso. Resultados preocupantes com relação à taxa de evasão e número de ingressantes em anos recentes em cursos de licenciatura em computação foram, também, identificados.

Sign in / Sign up

Export Citation Format

Share Document