Journal of Decision Systems

Top Research Topics at Journal of Decision Systems?

The journal focuses largely on the fields of Decision support system, Knowledge management, Operations research, Process management and Process (engineering). Research in Decision support system tackled falls within the umbrella of Artificial intelligence. The Artificial intelligence study featured in it draws connections with the study of Machine learning.

Knowledge management and Social media are closely related fields of research discussed in the journal. The Business decision mapping works, particularly on R-CAST are tackled in Journal of Decision Systems. It focuses on R-CAST research which is adjacent to topics in Decision engineering.

• Decision support system (36.07%)
• Knowledge management (23.68%)
• Operations research (20.33%)

What are the most cited papers published in the journal?

• Decision Support Systems Failure An Evolutionary Perspective. (259 citations)
• The GDSS PROMETHEE procedure: a PROMETHEE-GAIA based procedure for group decision support (187 citations)
• Business-related research in neural networks-based intelligent decision support systems : A bibliometric analysis (123 citations)

Research areas of the most cited articles at Journal of Decision Systems:

The most cited publications are mainly concerned with subjects like Decision support system, Operations research, Knowledge management, Process management and Process (engineering). The published papers explore topics in Decision support system which can be helpful for research in disciplines like Operations management, Word (computer architecture), Expert system, The Internet and Data science. The journal articles address concerns in Knowledge management which are intertwined with other disciplines, such as Business analytics, Competitive advantage, Decision-making and Facilitator.

What topics the last edition of the journal is best known for?

• Artificial intelligence
• The Internet
• Management

The previous edition focused in particular on these issues:

The discussions in the journal mainly cover the fields of Coronavirus disease 2019 (COVID-19), Knowledge management, 2019-20 coronavirus outbreak, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Big data. In addition to Coronavirus disease 2019 (COVID-19) research, Journal of Decision Systems aims to explore topics under Public relations and Operations research. The overlapping concepts between Limited availability and Test (assessment) are the key highlights of Operations research study.

Some problems in Knowledge management that were presented in it overlapped with concepts under Decision support system, Digital transformation, Stakeholder engagement and Competitive pressure. The studies on Decision support system discussed can also contribute to research in the domains of Strategic human resource planning, Workforce, Subject-matter expert, Information infrastructure and Risk analysis (engineering). The research on Big data featured in it combines topics in other fields like Supply chain management, Social media, Selection (genetic algorithm) and Data science.

The most cited articles from the last journal are:

• Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises (7 citations)
• On COVID-19 country containment metrics: a new approach (5 citations)
• Study of Social media impacts on social capital and employee performance – evidence from Tunisia Telecom (3 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Journal of Decision Systems (based on the number of publications) are:

• David Sammon (25 papers) published 4 papers at the last edition, 1 more than at the previous edition,
• Frédéric Adam (14 papers) absent at the last edition,
• Daniel J. Power (13 papers) absent at the last edition,
• Ciara Heavin (13 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Paidi O'Raghallaigh (12 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Decision Systems (based on the number of publications) are:

• University College Cork (70 papers) published 5 papers at the last edition, 6 less than at the previous edition,
• École Normale Supérieure (18 papers) absent at the last edition,
• University of Sfax (14 papers) published 1 paper at the last edition,
• Monash University (14 papers) absent at the last edition,
• University of Northern Iowa (11 papers) absent at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 20.37% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.56% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.98% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.95% of all publications and 46.51% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities and Salaries in Decision Systems

The knowledge and expertise gained in the field of decision systems is not just limited to the academic world. In the real world, professionals with specialized knowledge in decision-making processes and system analysis are highly in demand. Careers in industries such as project management, city planning, data analysis and business consulting are some of the practical fields where such knowledge can be applied. For instance, urban planners must often make complex and critical decisions regarding the use of city resources, and must do so based on a variety of factors and considerations. Understanding decision support systems can equip such professionals with practical tools to make more effective decisions. Speaking of urban planners, their salary potential can be another driving factor for individuals to get further education and choose these career paths. According to recent data, an urban planner salary in Delaware, for instance, can be very competitive and rewarding. Therefore, graduates and researchers in the field of decision systems can look forward to a wide range of rewarding career opportunities that aren't confined within the walls of academia. Understanding these real-world applications and potential career paths may even inspire further research in this field, taking it to new depths and directions.