Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 2 / 2 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 00:14 UTC — 21 Oct 2026 07:23 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 2 / 2 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T00:14:26.911632+00:00 — 2026-10-21T07:23:04.569419+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 0 | 2 | 2/2 |
| 2021 | All selected publications | 0 | 2 | 2/2 |
| 2022 | All selected publications | 0 | 2 | 2/2 |
| 2023 | All selected publications | 0 | 2 | 2/2 |
| 2024 | All selected publications | 0 | 2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2019 | 1 |
| 2025 | 1 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
This empirical paper examines the challenges third-year students face in learning Economic and Management Sciences (EMS) at a University of Technology. The primary issue is that students frequently struggle to grasp the subject effectively, resulting in unsatisfactory outcomes. The paper is rooted in Constructivist Learning Theory, pioneered by Vygotsky and Piaget, which posits that students develop their understanding through active engagement and social interaction. Participatory Action Research was employed as the primary method for data collection, and a thematic approach was used for data analysis. A WhatsApp group was created to facilitate group discussions for data collection and analysis. Participants included nine (n=9) third-year students specialising in EMS as one of their elective subjects. The study found that inadequate mentorship and support significantly affect the effectiveness of learning EMS. The complexity of EMS, a lack of accounting background, and the workload were identified as key challenges hindering effective learning. Based on these findings, the study recommends that students, particularly those without a strong foundation in accounting from high school, receive adequate support. Additionally, it advocates that each course should be treated independently rather than combining multiple subjects under EMS. Based on these findings, the study aims to contribute to the enhancement of EMS teaching and to propose strategies for addressing the frustrations experienced by third-year students within the module.
Multi-game simulations are the most widely used tools in international business and strategic management education. In Business Schools, all courses from Strategy to Finance are taught from case studies and books, using research results. But when managing a business, there is no way to learn the parts of the business from books by gaining experience in complete integrity. Company management competence requires practice in areas such as production, marketing, R & D, finance, operations, and strategy. The simplest way to practice this in the learning process is through business simulations and multi-game applications. These simulations help students to acquire workforce skills by practicing critical thinking, making better decisions and solving business problems. It has taken its place in education life as a powerful teaching tool for business simulations. The student teams compete with each other by running multinational enterprises over several game rounds, and the round represents a fiscal year. International business development games are decided and risk-free. During the simulation process, they have to decide on a product portfolio, pricing, advertising, production, R & D and financial structure in each round. International business aspects of the games include exchange rate fluctuations, trade barriers, different tax rates between countries, shipping points and international cash management. In the room, players are interested in the current national differences, including preferred ones, price sensitivity, production location, market growth, business environment, and economic growth. Instructors follow which decisions will be highlighted in the course's planned learning objectives and guide preferences for students. We will explore the decisions and knowledge of CAPSIM Global DNA in a multi-game design. This article differs from other studies in that it is a study that puts forward the theory and application of a computerized representation simultaneously.
This empirical paper examines the challenges third-year students face in learning Economic and Management Sciences (EMS) at a University of Technology. The primary issue is that students frequently struggle to grasp the subject effectively, resulting in unsatisfactory outcomes. The paper is rooted in Constructivist Learning Theory, pioneered by Vygotsky and Piaget, which posits that students develop their understanding through active engagement and social interaction. Participatory Action Research was employed as the primary method for data collection, and a thematic approach was used for data analysis. A WhatsApp group was created to facilitate group discussions for data collection and analysis. Participants included nine (n=9) third-year students specialising in EMS as one of their elective subjects. The study found that inadequate mentorship and support significantly affect the effectiveness of learning EMS. The complexity of EMS, a lack of accounting background, and the workload were identified as key challenges hindering effective learning. Based on these findings, the study recommends that students, particularly those without a strong foundation in accounting from high school, receive adequate support. Additionally, it advocates that each course should be treated independently rather than combining multiple subjects under EMS. Based on these findings, the study aims to contribute to the enhancement of EMS teaching and to propose strategies for addressing the frustrations experienced by third-year students within the module.
Multi-game simulations are the most widely used tools in international business and strategic management education. In Business Schools, all courses from Strategy to Finance are taught from case studies and books, using research results. But when managing a business, there is no way to learn the parts of the business from books by gaining experience in complete integrity. Company management competence requires practice in areas such as production, marketing, R & D, finance, operations, and strategy. The simplest way to practice this in the learning process is through business simulations and multi-game applications. These simulations help students to acquire workforce skills by practicing critical thinking, making better decisions and solving business problems. It has taken its place in education life as a powerful teaching tool for business simulations. The student teams compete with each other by running multinational enterprises over several game rounds, and the round represents a fiscal year. International business development games are decided and risk-free. During the simulation process, they have to decide on a product portfolio, pricing, advertising, production, R & D and financial structure in each round. International business aspects of the games include exchange rate fluctuations, trade barriers, different tax rates between countries, shipping points and international cash management. In the room, players are interested in the current national differences, including preferred ones, price sensitivity, production location, market growth, business environment, and economic growth. Instructors follow which decisions will be highlighted in the course's planned learning objectives and guide preferences for students. We will explore the decisions and knowledge of CAPSIM Global DNA in a multi-game design. This article differs from other studies in that it is a study that puts forward the theory and application of a computerized representation simultaneously.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |