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, 00:14 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 00:14 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 |
|---|---|---|---|---|---|
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
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): 2026-10-21T00:14:36.451566+00:00 — 2026-10-21T00:14:36.452780+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 |
|---|---|
| 2026 | 2 |
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 | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
Agile methodologies extensively utilised in software development to improve adaptability, teamwork, and value provision. Notwithstanding comprehensive international studies, there is scant empirical data concerning Agile deployment in South African software development Small and Medium-sized Enterprises (SMEs), where resource limitations and contextual elements may affect adoption experiences. This research investigated the benefits and obstacles related to Agile adoption from the viewpoints of professionals in South African software development small and medium-sized enterprises. A quantitative research methodology was utilised, using a designed questionnaire with five-point Likert-scale items that assess perceived benefits and obstacles of Agile. A comprehensive analysis was conducted on 106 valid responses utilising descriptive statistics, reliability analysis (Cronbach’s α = 0.862), and exploratory factor analysis to evaluate the consistency of the instrument and its construct validity. The results demonstrate a robust consensus on the benefits of Agile, including enhanced team collaboration, communication, transparency, and adaptability, underscoring Agile's focus on individuals and its responsive characteristics. These benefits facilitate adaptable project implementation, ongoing stakeholder input, and enhanced collaboration. Conversely, the obstacles to execution were viewed as quite minor and not considered significant impediments. The primary obstacles encompassed deficiencies in documentation, misalignment among stakeholders, opposition to organisational transformation, time limitations, and heightened stress linked to accelerated development phases. The results indicate that South African software SMEs can enhance Agile value by bolstering collaborative efforts, ensuring thorough documentation, harmonising stakeholder expectations, and fostering ongoing learning. Despite being restricted to South African software development SMEs and a limited survey sample, the research offers contextually pertinent quantitative data on Agile adoption and sheds light on the benefits and obstacles of Agile deployment in resource-limited settings.
Agile software development is extensively embraced worldwide; nonetheless, there is a paucity of empirical data concerning the Agile approaches employed by small and medium enterprises (SMEs) in South Africa and the reasons for their adoption. This research examines (1) the Agile software development approaches being employed by South African software SMEs and (2) the reasons these businesses embrace Agile methodologies. Utilising a cohesive theoretical model that merges Diffusion of Innovation (DOI) theory with the Technology–Organisation–Environment (TOE) framework, the research adopted a quantitative descriptive methodology through a cross-sectional survey. Quantitative data were examined utilising descriptive and inferential statistical methods, encompassing frequencies, percentages, mean values, and standard deviations. Reliability and concept validity were evaluated using Cronbach’s alpha and Exploratory Factor Analysis (EFA), correspondingly. The results reveal that Scrum and Kanban are the predominant Agile techniques, either utilised separately or in hybrid forms according to organisational frameworks, team interactions, and project needs. The adoption of Agile techniques was predominantly driven by internal factors, as businesses sought to enhance communication, cooperation, transparency, efficiency, responsiveness in delivery, and overall team effectiveness. The research determines that the adoption of Agile methodologies in South African software SMEs is practical, reliant on context, and influenced by organisational culture, methodological adaptability, and operational priorities, emphasising the necessity of flexible implementation strategies in emerging market settings.
Agile methodologies extensively utilised in software development to improve adaptability, teamwork, and value provision. Notwithstanding comprehensive international studies, there is scant empirical data concerning Agile deployment in South African software development Small and Medium-sized Enterprises (SMEs), where resource limitations and contextual elements may affect adoption experiences. This research investigated the benefits and obstacles related to Agile adoption from the viewpoints of professionals in South African software development small and medium-sized enterprises. A quantitative research methodology was utilised, using a designed questionnaire with five-point Likert-scale items that assess perceived benefits and obstacles of Agile. A comprehensive analysis was conducted on 106 valid responses utilising descriptive statistics, reliability analysis (Cronbach’s α = 0.862), and exploratory factor analysis to evaluate the consistency of the instrument and its construct validity. The results demonstrate a robust consensus on the benefits of Agile, including enhanced team collaboration, communication, transparency, and adaptability, underscoring Agile's focus on individuals and its responsive characteristics. These benefits facilitate adaptable project implementation, ongoing stakeholder input, and enhanced collaboration. Conversely, the obstacles to execution were viewed as quite minor and not considered significant impediments. The primary obstacles encompassed deficiencies in documentation, misalignment among stakeholders, opposition to organisational transformation, time limitations, and heightened stress linked to accelerated development phases. The results indicate that South African software SMEs can enhance Agile value by bolstering collaborative efforts, ensuring thorough documentation, harmonising stakeholder expectations, and fostering ongoing learning. Despite being restricted to South African software development SMEs and a limited survey sample, the research offers contextually pertinent quantitative data on Agile adoption and sheds light on the benefits and obstacles of Agile deployment in resource-limited settings.
Agile software development is extensively embraced worldwide; nonetheless, there is a paucity of empirical data concerning the Agile approaches employed by small and medium enterprises (SMEs) in South Africa and the reasons for their adoption. This research examines (1) the Agile software development approaches being employed by South African software SMEs and (2) the reasons these businesses embrace Agile methodologies. Utilising a cohesive theoretical model that merges Diffusion of Innovation (DOI) theory with the Technology–Organisation–Environment (TOE) framework, the research adopted a quantitative descriptive methodology through a cross-sectional survey. Quantitative data were examined utilising descriptive and inferential statistical methods, encompassing frequencies, percentages, mean values, and standard deviations. Reliability and concept validity were evaluated using Cronbach’s alpha and Exploratory Factor Analysis (EFA), correspondingly. The results reveal that Scrum and Kanban are the predominant Agile techniques, either utilised separately or in hybrid forms according to organisational frameworks, team interactions, and project needs. The adoption of Agile techniques was predominantly driven by internal factors, as businesses sought to enhance communication, cooperation, transparency, efficiency, responsiveness in delivery, and overall team effectiveness. The research determines that the adoption of Agile methodologies in South African software SMEs is practical, reliant on context, and influenced by organisational culture, methodological adaptability, and operational priorities, emphasising the necessity of flexible implementation strategies in emerging market settings.
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 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |