| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Business and Management | 199 | 11 | 37 | 16 |
| Computer Science | 209 | 41 | 85 | 26 |
The journal facilitates discussions on Information system, Knowledge management, Business process, Data science and Process management. Business & Information Systems Engineering tackles studies in Information management and the interrelated subject of Business model to gain insights into Information system. While Knowledge management is the focus of Business & Information Systems Engineering, it also provided insights into the studies of Domain (software engineering), Process mining, Relevance (information retrieval) and Big data.
Issues in Process mining were discussed, taking into consideration concepts from other disciplines like Machine learning, Business process discovery and Artificial intelligence. The tackled Relevance (information retrieval) research is interrelated with Artifact (software development) which concerns subjects like Human–computer interaction and Risk analysis (engineering). Most of the Business process studies addressed also intersect with Information technology.
Topics in Data science explored in the journal were investigated in conjunction with research in Text mining, Cloud computing and Data analysis. The presented Process management research focuses mostly on Context (language use) and, on occasion, topics in Process modeling. The studies in Information engineering featured incorporate elements of Engineering management and Management information systems.
The published articles are organized to reinforce research efforts on Knowledge management, Information system, Engineering management, Relevance (information retrieval) and Systems engineering. Most of the Knowledge management studies addressed in the journal publications also intersect with Information technology. The most cited papers explore topics in Information system which can be helpful for research in disciplines like Domain (software engineering), Information management, Order (business) and World Wide Web.
Business & Information Systems Engineering explores disciplines such as Business process, Data science, Process management, Information system and Knowledge management. It holds forums on Business process that merges themes from other disciplines such as Artifact (software development), Information technology, Relevance (information retrieval) and Risk analysis (engineering). The study of Text mining and how it intertwines with concepts under Information systems research were explored in the presented Data science research.
It focuses on Process management but sometimes tackles the closely related disciplines such as
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.
The top authors publishing in Business & Information Systems Engineering (based on the number of publications) are:
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.
Only papers with recognized affiliations are considered
The top affiliations publishing in Business & Information Systems Engineering (based on the number of publications) are:
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.
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, 8.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 48.48% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.09% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 30.30% of all publications and 12.12% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Business and Information Systems Engineering studies have a significant impact on postgraduate education, particularly within MBA programs. The integration of concepts such as Big Data and Machine Learning, alongside traditional business subjects like Order (business) and Engineering management, enable students to acquire a diversified skill set which is highly desirable in the current job market.
Selecting the right educational institution that provides a strong grounding in subjects both technical and management related is crucial. For instance, good business schools in Georgia offer MBA programs with an emphasis on Business & Information Systems Engineering. By introducing students to both the theoretical and practical aspects of the discipline, they are adequately prepared to handle real-world challenges in this field.
In conclusion, the academic influences of Business & Information Systems Engineering are vital in shaping future business leaders and innovators. The constant evolution of business studies to incorporate Information Systems Engineering elements is a testament to the journal's significant impact on this interdisciplinary approach to education.
Unknown
(2023)Dominik Dellermann;Philipp Ebel;Matthias Soellner;Jan Marco Leimeister
(2021)Georgi Dimov Kerpedzhiev;Ulrich Matthias König;Maximilian Röglinger;Michael Rosemann
(2021)Stefan Feuerriegel;Mateusz Dolata;Gerhard Schwabe
(2020)Volodymyr Leno;Artem Polyvyanyy;Marlon Dumas;Marcello La Rosa
(2021)Benedikt Berger;Martin Adam;Alexander Rühr;Alexander Benlian
(2021)For students interested in advancing their expertise in Business and Management, pursuing related online degrees can open doors to diverse career opportunities. Specialized programs such as an online doctorate in organizational leadership provide advanced knowledge in managing teams and driving organizational change.
Educators and administrators looking to elevate their credentials might consider an cheapest ed.d online program, which offers a streamlined approach to earning a doctorate in education while balancing work and life commitments.
Similarly, exploring options such as the online edd opens the door to leadership roles in educational institutions, nonprofits, and corporate training departments.
For those interested in blending management with information science, earning an mlis online degree presents pathways into library and information management, where organizational and leadership skills are highly valued.
