scholarly journals A analytics study Mapping Study of Collaborative business intelligence and self-service

2021 ◽  
Vol 9 (12) ◽  
pp. 1032-1037
Author(s):  
Tanmayee Parbat
Keyword(s):  
Business Intelligence ◽  
Design Science ◽  
Science Research ◽  
Research Approach ◽  
Knowledge Database ◽  
Architecture Model ◽  
Service Oriented ◽  
Decision Making Processes ◽  
Self Service ◽  
Self Learning

Abstract: Self-service Business Intelligence (SSBI) is an emerging topic for many companies. Casual users should be enabled to independently build their own analyses and reports. This accelerates and simplifies the decision-making processes. Although recent studies began to discuss parts of a self-service environment, none of these present a comprehensive architecture. Following a design science research approach, this study proposes a new self-service oriented BI architecture in order to address this gap. Starting from an in-depth literature review, an initial model was developed and improved by qualitative data analysis from interviews with 18 BI and IT specialists form companies across different industries. The proposed architecture model demonstrates the interaction between introduced self-service elements with each other and with traditional BI components. For example, we look at the integration of collaboration rooms and a self-learning knowledge database that aims to be a source for a report recommender. Keywords: Business Intelligence, Big Data, Architecture, Self-Service, Analytics

scholarly journals A Study of Analysis and Trends for Embedded Business Intelligence Market

2021 ◽  
Vol 9 (12) ◽  
pp. 1025-1031
Author(s):  
Tanmayee Tushar Parbat
Keyword(s):  
Business Intelligence ◽  
Design Science ◽  
Science Research ◽  
Research Approach ◽  
Knowledge Database ◽  
Architecture Model ◽  
Service Oriented ◽  
Decision Making Processes ◽  
Self Service ◽  
Self Learning

Abstract: Self-service Business Intelligence (SSBI) is an emerging topic for many companies. Casual users should be enabled to independently build their own analyses and reports. This accelerates and simplifies the decision-making processes. Although recent studies began to discuss parts of a self-service environment, none of these present a comprehensive architecture. Following a design science research approach, this study proposes a new self-service oriented BI architecture in order to address this gap. Starting from an in-depth literature review, an initial model was developed and improved by qualitative data analysis from interviews with 18 BI and IT specialists form companies across different industries. The proposed architecture model demonstrates the interaction between introduced self-service elements with each other and with traditional BI components. For example, we look at the integration of collaboration rooms and a self-learning knowledge database that aims to be a source for a report recommender. Keywords: Business Intelligence, Big Data, Architecture, Self-Service, Analytics

scholarly journals Self-Service Data Science in Healthcare with Automated Machine Learning

2020 ◽  
Vol 10 (9) ◽  
pp. 2992
Author(s):  
Richard Ooms ◽  
Marco Spruit
Keyword(s):  
Machine Learning ◽  
User Interfaces ◽  
Web Application ◽  
Data Science ◽  
Design Science ◽  
Science Research ◽  
Research Approach ◽  
Automated Machine Learning ◽  
Self Service ◽  
Service Data

(1) Background: This work investigates whether and how researcher-physicians can be supported in their knowledge discovery process by employing Automated Machine Learning (AutoML). (2) Methods: We take a design science research approach and select the Tree-based Pipeline Optimization Tool (TPOT) as the AutoML method based on a benchmark test and requirements from researcher-physicians. We then integrate TPOT into two artefacts: a web application and a notebook. We evaluate these artefacts with researcher-physicians to examine which approach suits researcher-physicians best. Both artefacts have a similar workflow, but different user interfaces because of a conflict in requirements. (3) Results: Artefact A, a web application, was perceived as better for uploading a dataset and comparing results. Artefact B, a Jupyter notebook, was perceived as better regarding the workflow and being in control of model construction. (4) Conclusions: Thus, a hybrid artefact would be best for researcher-physicians. However, both artefacts missed model explainability and an explanation of variable importance for their created models. Hence, deployment of AutoML technologies in healthcare remains currently limited to the exploratory data analysis phase.

scholarly journals Using Blockchain Technology to Foster Collaboration among Shippers and Carriers in the Trucking Industry: A Design Science Research Approach

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 37
Author(s):  
Serkan Alacam ◽  
Asli Sencer
Keyword(s):  
Private Information ◽  
Design Science ◽  
Science Research ◽  
Trucking Industry ◽  
Research Approach ◽  
Blockchain Technology ◽  
Storage Solutions ◽  
Sustainability Problems ◽  
And Storage ◽  
Industry Professionals

In the global trucking industry, vertical collaboration between shippers and carriers is attained by intermediaries, called brokers. Brokers organize carriers for a shipper in accordance with its quality and price requirements, and support carriers to collaborate horizontally by sharing a large distribution order from a shipper. Brokers also act as trustees, preventing the passing of private information of any party to the others. Despite these benefits, intermediaries in the trucking industry are involved in several sustainability problems, including high costs, high levels of carbon emissions, high percentages of empty miles, low-capacity utilizations, and driver shortages. Several studies have acknowledged the importance of improving collaboration to address these problems. Obviously, the major concern of brokers is not collaboration, but rather to optimize their own gains. This paper investigates the potential of blockchain technology to improve collaboration in the trucking industry, by eliminating brokers while preserving their responsibilities as organizers and trustees. This paper extends the transportation control tower concept from the logistics literature, and presents a system architecture for its implementation through smart contracts on a blockchain network. In the proposed system, the scalability and privacy of trucking operations are ensured through integration with privacy-preserving off-chain computation and storage solutions (running outside of the blockchain). The potential of this design artifact for fostering collaboration in the trucking industry was evaluated by both blockchain technology experts and trucking industry professionals.

Improving Online Collaboration in Contemporary IT Development Teams

2018 ◽  
pp. 160-178
Author(s):  
Jan Pries-Heje ◽  
Lene Pries-Heje
Keyword(s):  
Social Capital ◽  
Conceptual Framework ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Online Collaboration ◽  
Research Approach ◽  
Development Teams ◽  
Geographically Distributed ◽  
Six Elements

An interview study focusing on online collaboration in geographically distributed IT development teams in Danske Bank revealed seven problem areas. To cope with the problems the authors applied a design science research approach to construct a conceptual framework for improving online collaboration. The conceptual framework combines a six-phase teambuilding model with six elements of social capital. Thus, in each phase of teambuilding, the online collaborators aim at building up all six elements of social capital. The complete six-by-six framework was successfully tried and diffused throughout Danske Bank. This chapter gives an account of the framework content and the results from the evaluation.

Using a Design Science Research Approach to Develop a HCI Artifact for Designing Web Interfaces

2016 ◽  
pp. 304-320
Author(s):  
Muhammad Nazrul Islam ◽  
Franck Tétard
Keyword(s):  
Process Model ◽  
Design Science ◽  
Evaluation Process ◽  
Science Research ◽  
Design Science Research ◽  
Research Approach ◽  
Web Interface ◽  
Web Interfaces ◽  
Ui Design ◽  
Intuitive Interface

Interface signs are the communication cues of web interfaces, through which users interact. Examples of interface signs are small images, navigational links, buttons and thumbnails. Although intuitive interface signs are crucial elements of a good user interface (UI), prior research ignored these in UI design and usability evaluation process. This chapter outlines how a design science research (DSR) approach is used to develop a Human-Computer Interaction (HCI) artifact (semiotic framework) for design and evaluation of user-intuitive web interface signs. This chapter describes how the principles and guidelines of DSR approach are adopted, while performing the activities of the DSR process model to construct the artifact.

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.

A visual tool for identity communication strategy

2019 ◽  
Vol 26 (6/7) ◽  
pp. 831-854
Author(s):  
Dina Elikan ◽  
Yves Pigneur
Keyword(s):  
Design Methodology ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Communication Strategy ◽  
Research Approach ◽  
Complex Task ◽  
Content Type ◽  
Visual Tool ◽  
Scientific Approach

Purpose Being able to communicate a clear identity to different stakeholders is crucial for SMEs and startups in today’s world, which is characterised by accelerated innovation, growing competition and increasingly connected consumers. However, this can be a complex task for small organisations. The purpose of this paper is to propose a visual tool that supports entrepreneurs in SMEs and startups to collaboratively develop their identity communication strategy. Design/methodology/approach The paper follows a design science research approach. The authors propose the design of a tool as well as some preliminary qualitative evaluations. The authors conducted three iterations between design and evaluation, where the results of the evaluations are implemented in the design. Findings The authors demonstrate how to design strategic tools for allowing teams to co-design their identity communication strategy and present the tool. The authors also evaluate its use and find out through the preliminary evaluations that it could be easy to use and useful for practitioners. Originality/value The originality of this paper lays in the novelty of the tool and its development. Such a tool addressing identity communication strategy has not been developed with a scientific approach until now.

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