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: 4 / 4 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 00:49 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 |
|---|---|---|---|---|---|
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 6 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 13 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 6 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | 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 4 / 4 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): 2026-10-21T00:49:30.111903+00:00 — 2026-10-21T07:23:08.260120+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 2 | 4 | 4/4 |
| 2020 | All selected publications | 2 | 4 | 4/4 |
| 2021 | All selected publications | 4 | 4 | 4/4 |
| 2022 | All selected publications | 3 | 4 | 4/4 |
| 2023 | All selected publications | 2 | 4 | 4/4 |
| 2024 | All selected publications | 3 | 4 | 4/4 |
| 2025 | All selected publications | 2 | 4 | 4/4 |
| 2026 | All selected publications | 2 | 4 | 4/4 |
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 |
|---|---|
| 2017 | 1 |
| 2020 | 1 |
| 2023 | 1 |
| 2026 | 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 Research in Business and Social Science SSBFNET | 4 | 12 | 20 | 4/4 | 3.0 | 3.0 | 75.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
The concept of business risk has been extended to several new concepts. Disaster, disease, social unrest and terrorism are emerging as part of business risks. This study aim is to explore classification of disaster risk in micro, small and medium enterprises (MSME). This study explains factors and risk perception of disaster prevention and reduction. The study based on survey, which involved 315 MSMEs, focus group discussion and in-depth interview with several key informants. We use content analysis as a basic tool in the data analysis process, with descriptive statistic to complete information findings in the study. Unit analysis of this study are MSME industries, they are batik and textile, furniture and handy-craft and food industry. The result shows that they are interconnectedness between financial institution, local governance and MSME in the disaster risk management model. Each party has obligations in conducting preparedness of disaster and risk protection procedures for disaster risk management. We also find that there is still very low risk perception among MSME in Surakarta. This could be a potential problem when the disaster risk management should be implemented in MSME business.
This study examines the effects of the effectiveness of the internal control system (ICS) on crisis management skills (before, during, and after the crisis) in the event of a disaster through the Istanbul Metropolitan Municipality (IMM) Fire Service Department. Methodologically, a comprehensive survey questionnaire was used to collect data from 251 workers of the IMM fire service department located on the Anatolian side of Istanbul. Statistic Package for Social Sciences (SPSS) version 22 used to analyze data by running among other reliability tests, T-Test, ANOVA, and Regression analysis. The results of the study indicated that ICS of the Fire Service Department of IMM showed high levels of effectiveness in the event of a disaster and that the institution has a high level of crisis management skills. In addition, the study found that a high positive relationship existed between ICS and Crisis Management Skills of the IMM fire service department before, during, and after the crisis in the event of a disaster. Finally, the study revealed that, ICS has a positive and high impact on IMM crisis management skills before, during, and after the crisis, and that the effectiveness of ICS had increased the crisis management skills of the institution.
Modern relief organisations are overwhelmed with complex emergency response operations. Man-made and natural disasters are affecting millions of people, infrastructure and land. In developing countries, many emergency relief programs fail due to ineffective outsourcing management of emergency response services. This has been worsened by failure to understand the concept of outsourcing and measures to improve it. Little is known about the key strategies of outsourcing and their impact on emergency relief performance. Thus, the study sought to establish key strategies of outsourcing and their impact on performance of emergency relief programme. The study employed a descriptive research design tapping into quantitative research approach. To collect data from respondents, the closed-ended questionnaires were used. Descriptive and inferential statistics were used in analysing the quantitative data. The study found that adopting strategies to enhance outsourcing improved the organisation’s efficiency and effectiveness in performing emergency relief services. The study revealed that investing in information technology and software systems; and adopting supply chain modelling, algorithms and programming are impetus strategies that can be implemented by a leading non-governmental organisation to enhance outsourcing. Thus, there is significant relationship between exercise of sustainable strategies that enhances outsourcing and performance improvement of emergency relief services. The management of the organisation should adopt information technology, artificial intelligence and data analytics when outsourcing services within the organisation. The study focused on a leading non-governmental organisation in Zimbabwe neglecting other emergency relief organizations and thus making it difficult to make inferences to other players. Therefore, th? researcher recommends that further studies should consider taking all humanitarian organisations to have a comprehensive understanding on the issue under study.
This study employs a qualitative desk-based research design grounded in Social Ecological Systems (SES) Theory to examine the role of technological innovation in bolstering climate resilience across South Africa. Recognizing the intrinsic interdependence between social dynamics and ecological stability, the research utilizes a desk-based qualitative methodology to synthesize multi regional data from Mpumalanga, the Eastern Cape, and Limpopo. The findings demonstrate that technology significantly enhances adaptive capacity through improved resource management and community mobilization. In the Eastern Cape, mobile water management applications have become vital for agricultural continuity amidst protracted droughts. In Limpopo, community based digital platforms and social media have proven essential for real time knowledge sharing and emergency response coordination. A cross cutting theme is the necessity of cultural relevance. Study emphasized that for digital tools to be effective, must align with local habits and traditional leadership structures. However, the study identifies a significant risk regarding Intellectual Property (IP), recommending the establishment of legal frameworks to protect indigenous data from unauthorized exploitation during digitization. The study concludes that while high smartphone penetration and internet connectivity among youth and traditional leaders provide a fertile ground for modernization, success depends on participatory, culturally sensitive interventions that ensure technology is both accessible and community-owned.
This study employs a qualitative desk-based research design grounded in Social Ecological Systems (SES) Theory to examine the role of technological innovation in bolstering climate resilience across South Africa. Recognizing the intrinsic interdependence between social dynamics and ecological stability, the research utilizes a desk-based qualitative methodology to synthesize multi regional data from Mpumalanga, the Eastern Cape, and Limpopo. The findings demonstrate that technology significantly enhances adaptive capacity through improved resource management and community mobilization. In the Eastern Cape, mobile water management applications have become vital for agricultural continuity amidst protracted droughts. In Limpopo, community based digital platforms and social media have proven essential for real time knowledge sharing and emergency response coordination. A cross cutting theme is the necessity of cultural relevance. Study emphasized that for digital tools to be effective, must align with local habits and traditional leadership structures. However, the study identifies a significant risk regarding Intellectual Property (IP), recommending the establishment of legal frameworks to protect indigenous data from unauthorized exploitation during digitization. The study concludes that while high smartphone penetration and internet connectivity among youth and traditional leaders provide a fertile ground for modernization, success depends on participatory, culturally sensitive interventions that ensure technology is both accessible and community-owned.
Modern relief organisations are overwhelmed with complex emergency response operations. Man-made and natural disasters are affecting millions of people, infrastructure and land. In developing countries, many emergency relief programs fail due to ineffective outsourcing management of emergency response services. This has been worsened by failure to understand the concept of outsourcing and measures to improve it. Little is known about the key strategies of outsourcing and their impact on emergency relief performance. Thus, the study sought to establish key strategies of outsourcing and their impact on performance of emergency relief programme. The study employed a descriptive research design tapping into quantitative research approach. To collect data from respondents, the closed-ended questionnaires were used. Descriptive and inferential statistics were used in analysing the quantitative data. The study found that adopting strategies to enhance outsourcing improved the organisation’s efficiency and effectiveness in performing emergency relief services. The study revealed that investing in information technology and software systems; and adopting supply chain modelling, algorithms and programming are impetus strategies that can be implemented by a leading non-governmental organisation to enhance outsourcing. Thus, there is significant relationship between exercise of sustainable strategies that enhances outsourcing and performance improvement of emergency relief services. The management of the organisation should adopt information technology, artificial intelligence and data analytics when outsourcing services within the organisation. The study focused on a leading non-governmental organisation in Zimbabwe neglecting other emergency relief organizations and thus making it difficult to make inferences to other players. Therefore, th? researcher recommends that further studies should consider taking all humanitarian organisations to have a comprehensive understanding on the issue under study.
This study examines the effects of the effectiveness of the internal control system (ICS) on crisis management skills (before, during, and after the crisis) in the event of a disaster through the Istanbul Metropolitan Municipality (IMM) Fire Service Department. Methodologically, a comprehensive survey questionnaire was used to collect data from 251 workers of the IMM fire service department located on the Anatolian side of Istanbul. Statistic Package for Social Sciences (SPSS) version 22 used to analyze data by running among other reliability tests, T-Test, ANOVA, and Regression analysis. The results of the study indicated that ICS of the Fire Service Department of IMM showed high levels of effectiveness in the event of a disaster and that the institution has a high level of crisis management skills. In addition, the study found that a high positive relationship existed between ICS and Crisis Management Skills of the IMM fire service department before, during, and after the crisis in the event of a disaster. Finally, the study revealed that, ICS has a positive and high impact on IMM crisis management skills before, during, and after the crisis, and that the effectiveness of ICS had increased the crisis management skills of the institution.
The concept of business risk has been extended to several new concepts. Disaster, disease, social unrest and terrorism are emerging as part of business risks. This study aim is to explore classification of disaster risk in micro, small and medium enterprises (MSME). This study explains factors and risk perception of disaster prevention and reduction. The study based on survey, which involved 315 MSMEs, focus group discussion and in-depth interview with several key informants. We use content analysis as a basic tool in the data analysis process, with descriptive statistic to complete information findings in the study. Unit analysis of this study are MSME industries, they are batik and textile, furniture and handy-craft and food industry. The result shows that they are interconnectedness between financial institution, local governance and MSME in the disaster risk management model. Each party has obligations in conducting preparedness of disaster and risk protection procedures for disaster risk management. We also find that there is still very low risk perception among MSME in Surakarta. This could be a potential problem when the disaster risk management should be implemented in MSME business.
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 |