Decision Sciences

Top Research Topics at Decision Sciences?

The aim of the journal is to expand the discussion of research in Operations research, Mathematical optimization, Knowledge management, Marketing and Econometrics. It connects research in Operations research with the related topic of Operations management. Linear programming and Heuristics are among the areas of Mathematical optimization tackled.

While it focused on Knowledge management, it was also able to explore topics like Decision support system and Information system, Management information systems. Decision support system research discussed connects with the study of Decision analysis. Decision Sciences features studies on Decision analysis, including topics such as Decision engineering.

The main emphasis of the journal is the subject of Marketing, focusing on Supply chain. The journal links adjacent topics like Econometrics with Statistics.

• Operations research (13.66%)
• Mathematical optimization (12.90%)
• Knowledge management (11.80%)

What are the most cited papers published in the journal?

• Technology Acceptance Model 3 and a Research Agenda on Interventions (3279 citations)
• A Model of the Antecedents of Perceived Ease of Use: Development and Test* (2414 citations)
• An Instrument for Measuring the Critical Factors of Quality Management (1779 citations)

Research areas of the most cited articles at Decision Sciences:

The most cited articles are organized to address concerns in the fields of Knowledge management, Marketing, Supply chain, Operations research and Information technology. The Knowledge management studies discussed in the most cited publications incorporate research from disciplines like

• Information system which intersects with area such as Process (engineering),
• Decision support system together with Decision analysis.. The most cited papers explore issues in Marketing which can be linked to other research areas like Structural equation modeling and Industrial organization.

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

• Statistics
• Law
• Artificial intelligence

The previous edition focused in particular on these issues:

The scientific interests tackled in Decision Sciences are Industrial organization, Microeconomics, Artificial intelligence, Supply chain and Operations research. The featured Industrial organization studies mainly concentrate on Sharing economy but also cover areas of interest in Supply contract and Blockchain. Aside from investigating topics in Experimental economics under Microeconomics, it also explores concepts in Stocking.

The presented Artificial intelligence research focuses mostly on Machine learning and, on occasion, topics in Performance measurement and Social media. The featured works in Bullwhip effect, which all belong in the domain if Supply chain, also overlaps with concepts under Behavioral experiment. The journal aims to investigate interdisciplinary topics such as Operations research and Scale (ratio).

The most cited articles from the last journal are:

• Prediction‐Oriented Model Selection in Partial Least Squares Path Modeling (35 citations)
• Platform Supported Supply Chain Operations in the Blockchain Era: Supply Contracting and Moral Hazards* (21 citations)
• Prediction: Coveted, Yet Forsaken? Introducing a Cross‐Validated Predictive Ability Test in Partial Least Squares Path Modeling (13 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 Decision Sciences (based on the number of publications) are:

• Ram Narasimhan (23 papers) absent at the last edition,
• Srinivas Talluri (15 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Manoj K. Malhotra (15 papers) published 2 papers at the last edition,
• Varun Grover (14 papers) absent at the last edition,
• Roger G. Schroeder (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 Decision Sciences (based on the number of publications) are:

• College of Business Administration (134 papers) absent at the last edition,
• Indiana University (84 papers) published 1 paper at the last edition,
• University of South Carolina (77 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• Michigan State University (72 papers) published 5 papers at the last edition, 1 less than at the previous edition,
• University of Minnesota (64 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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.35% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.76% of all publications and 51.47% 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 Prospects and Scope in Decision Sciences

For those who wish to contribute to the development of Decision Sciences, it is crucial to understand the potential salaries in related careers. One such attractive career field is Urban Planning. Urban planners play a crucial role in shaping communities, and as such, their work often intersects with many areas explored in Decision Sciences, including Operations Research, Knowledge Management, and Econometrics.

Specifically in Florida, urban planners show competitive annual salaries. According to the latest numbers from the Bureau of Labor Statistics, the median annual wage for urban and regional planners was $75,950 in May 2020. The lowest 10 percent earned less than $51,300, and the highest 10 percent earned more than $108,170. However, these figures can vary based on experience, skills, and more specific job roles.

To further your understanding of career prospects in this field, it may be beneficial to consider pursuing a business degree. Business schools often offer modules or specialist tracks in Decision Sciences, equipping you with the knowledge and skills to excel in this discipline. If you're considering this path, check out some of the top business schools in Florida, where you can evaluate to understand how much do urban planners make in Florida.

As the data suggests, embarking on a career in Decision Sciences or related fields can be both intellectually rewarding and financially stable. It is a growing field with diverse applications, making it an attractive choice for prospective students and professionals.