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 07:22 UTC — 22 Oct 2026 02:35 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 2 | 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): 2026-10-21T07:22:57.131603+00:00 — 2026-10-22T02:35:51.537516+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 | 1 | 2 | 2/2 |
| 2026 | All selected publications | 1 | 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 |
|---|---|
| 2024 | 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 | 1 | 2 | 2 | 1/1 | 2.0 | 2 | 100.0 | 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 study was conducted to examine the effect of 3D printing cost, 3D printing technology adoption and regulatory compliance on environmental sustainability among 3D printing firms in South Africa. The study also investigated the mediating effect of regulatory compliance on the relationships between 3D printing cost and 3D printing technology adoption on environmental sustainability. The study adopted a deductive research approach, quantitative research method and an explanatory correlational research design. Simple random sampling technique was used to select a total of 152 employees of 3D printing firms in South Africa. Questionnaires served as the data collection instruments, and online data gathering was done using Google Forms. The Statistical Package for Social Sciences (SPSS) version 26 software was used for data coding, data entry, and descriptive statistics. Smart PLS 4 was used to conduct partial Least Squares (PLS) Structural Equation Modelling. Results of the study indicate that a significant negative relationship exists between 3D printing cost and environmental sustainability while a significant positive relationship was found to exist between 3D printing technology adoption and environmental sustainability among 3D printing firms in South Africa. A significant positive relationship also exists between 3D printing regulatory compliance and environmental sustainability. For mediation effects, it was found that 3D printing regulatory compliance negatively mediates the relationship between cost and environmental sustainability. The results also indicated that regulatory compliance does not mediate the relationship between 3D printing technology and environmental sustainability. The study concludes that, in as much as 3D printing costs and technology adoption are essential, regulatory compliance has significant role to play in ensuring the maximization of environmental sustainability in South Africa’s 3D printing industry.
The purpose of the study is to ascertain the influence of ecolabels in the consumption of certified green products. It explores ecolabels in Durban, hoping to gain valuable insights into ecolabels’ role in influencing the consumption of certified green products. The study employed a quantitative and a non-probability sampling method to understand the influence of ecolabels among green consumers in Durban. To ensure that the data represents the diversity of Durban consumers, a random sampling method was adopted. The data was collected using questionnaires and analysed using the IBM SPSS Version 25. The study employed a sample of 384 customers from retail malls within selected Durban suburbs. The findings revealed that consumers generally have a positive perception of ecolabels and are likely to recommend certified green products. However, the data also revealed that there is scepticism around certified green products as they are considered expensive and can perhaps be attributed to the high cost of certification, credibility issues and the cost associated with the ecolabelling. There is a potential trend towards wider acceptance, with more respondents trusting the authenticity of ecolabels than not. The study also found that older respondents and those with higher income tend to have a more positive perception of ecolabels, potentially due to higher disposable income and greater familiarity with the concept. This suggests that addressing concerns about cost and credibility could further increase positive consumer perception of ecolabels. Businesses can use these findings to develop strategies to address consumer concerns about the cost and credibility of certified green products. They can also target marketing efforts towards older demographics and higher-income consumers who are more receptive to ecolabels. Policymakers can use the findings to evaluate the effectiveness of existing ecolabeling programs and also develop strategies to increase consumer awareness and trust in ecolabels, especially younger audiences.
This study was conducted to examine the effect of 3D printing cost, 3D printing technology adoption and regulatory compliance on environmental sustainability among 3D printing firms in South Africa. The study also investigated the mediating effect of regulatory compliance on the relationships between 3D printing cost and 3D printing technology adoption on environmental sustainability. The study adopted a deductive research approach, quantitative research method and an explanatory correlational research design. Simple random sampling technique was used to select a total of 152 employees of 3D printing firms in South Africa. Questionnaires served as the data collection instruments, and online data gathering was done using Google Forms. The Statistical Package for Social Sciences (SPSS) version 26 software was used for data coding, data entry, and descriptive statistics. Smart PLS 4 was used to conduct partial Least Squares (PLS) Structural Equation Modelling. Results of the study indicate that a significant negative relationship exists between 3D printing cost and environmental sustainability while a significant positive relationship was found to exist between 3D printing technology adoption and environmental sustainability among 3D printing firms in South Africa. A significant positive relationship also exists between 3D printing regulatory compliance and environmental sustainability. For mediation effects, it was found that 3D printing regulatory compliance negatively mediates the relationship between cost and environmental sustainability. The results also indicated that regulatory compliance does not mediate the relationship between 3D printing technology and environmental sustainability. The study concludes that, in as much as 3D printing costs and technology adoption are essential, regulatory compliance has significant role to play in ensuring the maximization of environmental sustainability in South Africa’s 3D printing industry.
The purpose of the study is to ascertain the influence of ecolabels in the consumption of certified green products. It explores ecolabels in Durban, hoping to gain valuable insights into ecolabels’ role in influencing the consumption of certified green products. The study employed a quantitative and a non-probability sampling method to understand the influence of ecolabels among green consumers in Durban. To ensure that the data represents the diversity of Durban consumers, a random sampling method was adopted. The data was collected using questionnaires and analysed using the IBM SPSS Version 25. The study employed a sample of 384 customers from retail malls within selected Durban suburbs. The findings revealed that consumers generally have a positive perception of ecolabels and are likely to recommend certified green products. However, the data also revealed that there is scepticism around certified green products as they are considered expensive and can perhaps be attributed to the high cost of certification, credibility issues and the cost associated with the ecolabelling. There is a potential trend towards wider acceptance, with more respondents trusting the authenticity of ecolabels than not. The study also found that older respondents and those with higher income tend to have a more positive perception of ecolabels, potentially due to higher disposable income and greater familiarity with the concept. This suggests that addressing concerns about cost and credibility could further increase positive consumer perception of ecolabels. Businesses can use these findings to develop strategies to address consumer concerns about the cost and credibility of certified green products. They can also target marketing efforts towards older demographics and higher-income consumers who are more receptive to ecolabels. Policymakers can use the findings to evaluate the effectiveness of existing ecolabeling programs and also develop strategies to increase consumer awareness and trust in ecolabels, especially younger audiences.
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 |