scholarly journals Business Analytics as a Tool to Transforming Information into an Informing System: The Case of the On-Line Course Registration System

10.28945/3764 ◽  
2017 ◽  
Vol 20 ◽  
pp. 167-178
Author(s):  
Dimitar Grozdanov Christozov
Keyword(s):  
Information System ◽  
Domain Knowledge ◽  
Information Needs ◽  
Data Driven ◽  
Future Research ◽  
Registration System ◽  
Is Implementation ◽  
The Future ◽  
Data Driven Decisions ◽  
The Way

Aim/Purpose: Sharing ideas generated in a Business Intelligence (BI) Applications class to upgrade an Information System in to an Informing System. Background: Course Registration is the essential university’s business process in a university that follows a liberal-arts education model. Almost all categories of users are involved, including students, individual faculties and departments, and administration. A typical Information System, designed to support this process, allows departments to schedule selected courses for a particular time slot and location, and allows students to choose courses to study for the semester. Methodology: The course project is to design a BI application. Domain knowledge is essential for such projects and course registration was the natural choice for this class. The assignment includes (1) identifying the categories of stakeholders; (2) identifying the information needs of different categories; (3) identifying available information sources; (4) identifying how is possible to acquire the additional data; and (5) designing the Extract-Transform-Load (ETL) process and interface scenarios in a way to inform clients. Contribution: Contributions are in two directions: (1) pedagogy - involving students in such a project motivates creativity, also enforcing students to think in cost-benefit framework may lead to creation of really effective and efficient solutions; (2) practice - implementation of some of the ideas could be with low cost, but with high impact. Findings: Exploring BI techniques may increase the informing value of existing Information Systems. Recommendations for Practitioners: Careful analysis of information needs and the way information is used, combined with deep domain knowledge and understanding the value provided by Data Mining techniques, is the way to initiate a process of transforming an Retrieval Information System to better inform clients. Recommendation for Researchers : Combining pedagogy with practice allows one to overcome routine thinking and may lead to effective solutions. This needs further structuring and research on outcomes. Impact on Society Transforming Information towards Informing Systems has a significant impact by allowing users to make rational data driven decisions in an efficient way. Future Research: The future of this project is implementation of developed ideas and assessment of the results. Impact on Society : Transforming Information towards Informing Systems has a significant impact by allowing users to make rational data driven decisions in an efficient way. Future Research: The future of this project is implementation of developed ideas and assessment of the results.

scholarly journals Business Analytics as a Tool to Transforming Information into an Informing System: The Case of the On-Line Course Registration System

10.28945/3681 ◽  
2017 ◽  
Author(s):  
Dimitar Grozdanov Christozov
Keyword(s):  
Information System ◽  
Liberal Arts ◽  
Domain Knowledge ◽  
Information Needs ◽  
Low Cost ◽  
Careful Analysis ◽  
Future Research ◽  
Business Analytics ◽  
Registration System ◽  
The Way

[This Proceedings paper was revised and published in Informing Science: the International Journal of an Emerging Transdiscipline (InfoSci)] Aim/Purpose: Sharing ideas generated in a Business Intelligence (BI) Applications class to upgrade an Information System in to an Informing System. Background: Course Registration is the essential university’s business process in a university that follows a liberal-arts education model. Almost all categories of users are involved, including students, individual faculties and departments, and administration. A typical Information System, designed to support this process, allows departments to schedule selected courses for a particular time slot and location, and allows students to choose courses to study for the semester. Methodology: The course project is to design a BI application. Domain knowledge is essential for such projects and course registration was the natural choice for this class. The assignment includes (1) identifying the categories of stakeholders; (2) identifying the information needs of different categories; (3) identifying available information sources; (4) identifying how is possible to acquire the additional data; and (5) designing the Extract-Transform-Load (ETL) process and interface scenarios in a way to inform clients. Contribution: Contributions are in two directions: (1) pedagogy - involving students in such a project motivates creativity, also enforcing students to think in cost-benefit framework may lead to creation of really effective and efficient solutions; (2) practice - implementation of some of the ideas could be with low cost, but with high impact. Findings: Exploring BI techniques may increase the informing value of existing Information Systems. Recommendations for Practitioners: Careful analysis of information needs and the way information is used, combined with deep domain knowledge and understanding the value provided by Data Mining techniques, is the way to initiate a process of transforming an Retrieval Information System to better inform clients. Recommendation for Researchers: Combining pedagogy with practice allows one to overcome routine thinking and may lead to effective solutions. This needs further structuring and research on outcomes. Impact on Society: Transforming Information towards Informing Systems has a significant impact by allowing users to make rational data driven decisions in an efficient way. Future Research: The future of this project is implementation of developed ideas and assessment of the results.

Scaffolding the OEEU's Data-Driven Ecosystem to Analyze the Employability of Spanish Graduates

2018 ◽  
pp. 236-255 ◽  
Author(s):  
Andrea Vázquez-Ingelmo ◽  
Juan Cruz-Benito ◽  
Francisco J. García-Peñalvo ◽  
Martín Martín-González
Keyword(s):  
Information System ◽  
Graduate Students ◽  
Master's Degree ◽  
Bachelor's Degree ◽  
Data Driven ◽  
Technological Evolution ◽  
Technological Support ◽  
Related Data ◽  
Spanish Universities ◽  
The Way

This chapter outlines the technological evolution experimented by the Observatory for University Employability and Employment's information system to become a data-driven technological ecosystem. This observatory collects data from more than 50 Spanish universities and their graduate students (bachelor's degree, master's degree) with the goal of measuring the factors that lead to students' employability and employment. The goals pursued by the observatory need a strong technological support to gather, process, and disseminate the related data. The system that supports these tasks has evolved from a standard (traditional) information system to a data-driven ecosystem, which provides remarkable benefits covering the observatory's requirements. The benefits, the foundations, and the way the data-driven ecosystem is built will be described throughout the chapter, as well as how the information obtained is exploited in order to provide insights about the employment and employability variables.

A mapping analytic approach to trace development of multidisciplinary research field

2015 ◽  
Vol 6 (2) ◽  
pp. 98-113 ◽  
Author(s):  
Xi Zhang ◽  
Xiangda Yan ◽  
Patricia Ordóñez de Pablos ◽  
jinghuai She ◽  
Yang Gao ◽  
...  
Keyword(s):  
Health Literacy ◽  
Health Information ◽  
Domain Knowledge ◽  
Early Stage ◽  
Research Field ◽  
Future Research ◽  
The Internet ◽  
Content Type ◽  
The Future ◽  
Practical Implications

Purpose – This paper aims to provide clear domain knowledge and recent progresses on electronic healthcare (e-healthcare). Design/methodology/approach – In this paper, the authors use citation analysis to describe the trends of study on e-health with the help of CiteSpace II, a software for visualizing citation-based analysis. By analyzing the 2,752 publications and their citation data in ISI database, the authors proposed renewable figures and tables on ranking critical people, institutes, keywords and journals. Through the most influential articles given by CiteSpace, the authors can grasp the main direction in e-health researches. Furthermore, the authors analyzed the literature at e-health literacy as a case, to better understand the development of research viewpoints. Findings – Through the analysis, the authors found that e-health is a multi-disciplinary research field and the major research about it has changed. During the early stage, health information quality on the Internet dominates. Gradually, the role of information technology (IT) becomes more important. The authors also found that some researchers, recently, have proposed the effects of IT on e-health literacy which can then improve the ability to use health information on the Internet. Research limitations/implications – This paper has some research limitations, such as using an ISI database with most English publications. The future research may be conducted for collecting local publications data in China. It also has some implications. Based on the results, the authors claimed that IT may significantly improve people’s healthcare variance, e.g. e-health literacy. It is necessary to build new IT-based healthcare theories. Practical implications – This paper also has some practical implications. Practitioners and institute may easily come to know which are the hot topics, top institutes and tendencies in the e-healthcare field. Social implications – This paper may help practitioners to find common interests with other institutions and societies. Originality/value – This paper reported the status and trend of research in this field visually, and the result will help researchers to do more in-depth research in the future.

scholarly journals “Dragon and Bear”: A SF-MDA Approach to Intersemiotic Relations

2017 ◽  
Vol 7 (5) ◽  
pp. 74
Author(s):  
Hongmiao Gao
Keyword(s):  
Discourse Analysis ◽  
Visual Image ◽  
Future Research ◽  
Functional Theory ◽  
Multimodal Discourse Analysis ◽  
Multimodal Discourse ◽  
The Future ◽  
Sociocultural Background ◽  
The Way

Compared with analysing the meaning of discourse from the perspective of language only, multimodal discourse analysis embarking on modes like images, words, colour, sound and other elements can help understand the underlying meaning expressed more thoroughly. Systemic functional multimodal discourse analysis (SF-MDA) built upon systemic functional theory (SFT) is employed in this study. An illustrated article issued in The Economist is taken as an example to fully dredge the intersemiotic relations between the text and the image. By describing the text, interpreting and explaining the underlying sociocultural background of the countries involved, it functions to fully excavate the differences and problems faced by the two countries so that strategies can be defined to cope with the existent problems within. The study finds out that there is an intersemiotic complementarity between the verbal text and visual image. Hopefully, this paper can pave the way for the future research of intersemiotic relations between different modes.

Learning With Mobile Devices

2019 ◽  
pp. 793-808 ◽  
Author(s):  
Helen Crompton ◽  
John Traxler
Keyword(s):  
Mobile Devices ◽  
Mobile Learning ◽  
Scientific Knowledge ◽  
Future Research ◽  
Research Directions ◽  
The Future ◽  
Future Research Directions ◽  
Portable Computers ◽  
The Way

The concept of learning with small portable computers was developed by Alan Kay in 1972. Since that early conception, scholars, such as Traxler, Sharples, and Soloway are the pioneering scholars who paved the way to a better understanding of the philosophical, pedagogical, and conceptual underpinnings of mobile learning today. In this chapter, an overview is provided to explicate the initial foundations of the emerging field of mobile learning (mlearning). Next, current scientific knowledge is delineated with explicit references to the early scholars. This chapter concludes with a preview of the future research directions in mobile learning.

The Innovation Link Between Organization Knowledge and Customer Knowledge

2011 ◽  
pp. 144-153
Author(s):  
Helen J. Mitchell
Keyword(s):  
Knowledge Economy ◽  
New Age ◽  
Customer Relationships ◽  
Innovative Approach ◽  
Future Research ◽  
Market Place ◽  
Customer Knowledge ◽  
The Future ◽  
The Way ◽  
Innovative Approaches

The knowledge economy is the future. Organisations need to harness their knowledge and put it to advantage if they are to survive in the new age. Innovative approaches to the market place through the products and services offered will become critical for survival. While some of the knowledge they need is held within the organisation’s systems, it also resides in employees and customers. Linking that knowledge together will provide an innovative approach to the future. Research was carried out to identify whether organisations recognise, and utilise the knowledge of their customers. It is important to identify whether they analyse the information gathered about their customers, and whether they value their customer relationships. The potential to be innovative is considerably enhanced when the accumulated knowledge of organisations, and their customers is brought together for the purpose of providing satisfaction and success in the future for all those involved. The way of the future is to link knowledge and become innovative.

Conclusion

2019 ◽  
pp. 151-160
Author(s):  
Charles S. Bullock ◽  
Susan A. MacManus ◽  
Jeremy D. Mayer ◽  
Mark J. Rozell
Keyword(s):  
Future Research ◽  
The South ◽  
National Politics ◽  
Southern Politics ◽  
The Future ◽  
Politics Of Religion ◽  
Politics Of Race ◽  
The Many ◽  
Changing Demographics ◽  
The Way

The concluding chapter summarizes key findings of the volume and points the way toward areas of future research and analysis of southern politics. It offers some projections about the future of the region, including its potentially key role in the 2020 elections. The discussion covers the many areas in which change is occurring, including changing demographics, changing partisanship, changing politics of race, and changing politics of religion, all leading up to a discussion of the changing politics of the Trump Era. In its final words, the chapter concludes that the direction of U.S. national politics and governing will continue to be driven substantially by what happens in the South.

BIG DATA IN BUSINESS

2018 ◽  
Vol 8 (1) ◽  
pp. 160
Author(s):  
PHILIP ADEBO
Keyword(s):  
Big Data ◽  
High Velocity ◽  
High Volume ◽  
Data Driven ◽  
Data Driven Decisions ◽  
The Way

ABSTRACTBusiness has always desired to derive insights from big data in order to make better, smarter, data-driven decisions.  Big data refers to data that are generated at high volume, high velocity, high variety, high veracity, and high value. It has fundamentally changed the way business companies operate, make decisions, and compete. It can create value for businesses. This paper provides a brief introduction to how big data is being used in businesses.

Trust in Cognitive Assistants

2019 ◽  
Vol 6 (1) ◽  
pp. 60-71
Author(s):  
Md. Abul Kalam Siddike ◽  
Yoji Kohda
Keyword(s):  
Policy Making ◽  
Data Driven ◽  
Future Research ◽  
Intention To Use ◽  
Research Directions ◽  
Decision Tools ◽  
Future Research Directions ◽  
Data Driven Decisions ◽  
Organizational Science ◽  
And Robotics

The main purpose of this research is to develop a framework of trust determinants in the interactions between people and cognitive assistants (CAs). CAs are defined as new decision tools that can provide people with high quality recommendations and help them make data-driven decisions to understand the environment around them. Trust is defined as the belief of people that CAs will help them reach a desired decision. An extensive review on trust in psychology, sociology, economics and policy making, organizational science, automation, and robotics was conducted to determine the factors that influence people's trust in CAs. On the basis of this review, a framework of trust determinants in people's interactions with CAs was developed where reliability, attractiveness, and emotional attachments positively influence people's trust in CAs. The framework also shows that relative advantages of innovativeness positively affect the intention to use CAs. Future research directions are suggested for developing and validating more concrete scales in measuring trust determinants in the interactions between people and CAs.

scholarly journals Factors Influencing the Effectiveness of Information System Implementation Among Small and Medium Manufacturing Enterprises in Malaysia

2020 ◽  
Author(s):  
Noor Azizi Ismail
Keyword(s):  
Information System ◽  
Information Needs ◽  
Influence Factors ◽  
Government Agencies ◽  
Specific Context ◽  
Accounting Firms ◽  
Manufacturing Enterprises ◽  
Is Implementation ◽  
Business Information ◽  
Factors Influencing

This study examined information system (IS) effectiveness and its influence factors in the specific context of small and medium manufacturing enterprise (SME). The model evaluated the importance of manager participation in IS implementation, manager IS knowledge and accounting knowledge, and external experts (vendors, consultants, government agencies, and accounting firms) for IS effectiveness. The sample included 232 SMEs registered with the Federation of Malaysian Manufacturers. The results showed that manager accounting knowledge, and the effectiveness of vendors and accounting firms, are essential for IS effectiveness. Overall, the results suggested that managers of SMEs need to acquire sufficient accounting knowledge to help them better understand business information requirements. Secondly, SMEs should engage qualified vendors who have experience and understand unique characteristics of SMEs to overcome their lack of IS knowledge. SMEs should also exploit their good relationship with accounting firms to help them implement effective IS. Finally, it is important for SMEs to learn from their IS implementation so that opportunities can be recognised and priority given to initiatives that help IS support their information needs.  

Sign in / Sign up

Export Citation Format

Share Document