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 07:23 UTC — 22 Oct 2026 01:49 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 |
|---|---|---|---|---|---|
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | 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): 2026-10-21T07:23:01.287230+00:00 — 2026-10-22T01:49:04.299802+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 |
|---|---|
| 2025 | 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 | 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.
Despite the national increase in banana production, Kepok banana farmers in Sikka Regency have experienced a sharp decline in both production and income. This study aims to analyze the factors affecting the income of Kepok banana farmers in Sikka Regency by examining the role of production as a mediating variable between key determinants—price, land area, labor, and capital—and income levels. The study employs a quantitative research approach using survey methods to collect primary data from Kepok banana farmers in Sikka Regency. The sampling technique applied is simple random sampling, ensuring proportional representation from 21 sub-districts. Out of a total population of 2,123 farmers, a final sample of 354 farmers was randomly selected. The collected data was analyzed using Partial Least Squares (PLS) through SmartPLS to examine the relationships. The study found that price, land area, labor, and capital all have a positive and significant impact on the production of Kepok bananas in Sikka Regency. Production itself plays a crucial role in influencing farmers' income, alongside price, land area, labor, and capital, all of which have a direct positive and significant effect on income. Production mediates the relationship between price, labor, and capital with farmers' income, indicating that these factors contribute to higher production, which in turn increases income. However, production does not mediate the effect of land area on income, suggesting that while land expansion increases production, its direct impact on income may be influenced by other factors beyond production volume alone.
The adoption of plausible strategic marketing deliverables within the sustainable agricultural ecosystem remains a challenge for small-scale growers due to scarce resources and constraint capabilities. The prospects of expediting access to markets and points of sale, which properly established and capacitated enterprises dominate, contain the ability for small-scale growers to commercialise their hard-earned crops and produce. This study unpacks the strategic marketing techniques and tools that small-scale growers could utilize to mitigate their active participation in the complex agricultural business ecosystem. The body of literature explicated various considerations that could be integrated into an attempt to demystify the common challenges and constraints that conform the small growers from the marking mix context and perspective. A positivism-oriented philosophy of the quantitative methodology was utilized in the study to solicit the description of the variables that constitute the elucidation of the strategic phenomenon in the study. The findings revealed that various marketing tools could provide constructive and beneficial advantages for small growers if applied efficaciously and correctly. The findings further indicated that packaging the marketing mixes intervention such as channels, segmenting positioning, channel, target market, and promotion could accelerate the small growers' attainment of sustainable competitive advantage within the broader scope of commercializing their enterprises.
The adoption of plausible strategic marketing deliverables within the sustainable agricultural ecosystem remains a challenge for small-scale growers due to scarce resources and constraint capabilities. The prospects of expediting access to markets and points of sale, which properly established and capacitated enterprises dominate, contain the ability for small-scale growers to commercialise their hard-earned crops and produce. This study unpacks the strategic marketing techniques and tools that small-scale growers could utilize to mitigate their active participation in the complex agricultural business ecosystem. The body of literature explicated various considerations that could be integrated into an attempt to demystify the common challenges and constraints that conform the small growers from the marking mix context and perspective. A positivism-oriented philosophy of the quantitative methodology was utilized in the study to solicit the description of the variables that constitute the elucidation of the strategic phenomenon in the study. The findings revealed that various marketing tools could provide constructive and beneficial advantages for small growers if applied efficaciously and correctly. The findings further indicated that packaging the marketing mixes intervention such as channels, segmenting positioning, channel, target market, and promotion could accelerate the small growers' attainment of sustainable competitive advantage within the broader scope of commercializing their enterprises.
Despite the national increase in banana production, Kepok banana farmers in Sikka Regency have experienced a sharp decline in both production and income. This study aims to analyze the factors affecting the income of Kepok banana farmers in Sikka Regency by examining the role of production as a mediating variable between key determinants—price, land area, labor, and capital—and income levels. The study employs a quantitative research approach using survey methods to collect primary data from Kepok banana farmers in Sikka Regency. The sampling technique applied is simple random sampling, ensuring proportional representation from 21 sub-districts. Out of a total population of 2,123 farmers, a final sample of 354 farmers was randomly selected. The collected data was analyzed using Partial Least Squares (PLS) through SmartPLS to examine the relationships. The study found that price, land area, labor, and capital all have a positive and significant impact on the production of Kepok bananas in Sikka Regency. Production itself plays a crucial role in influencing farmers' income, alongside price, land area, labor, and capital, all of which have a direct positive and significant effect on income. Production mediates the relationship between price, labor, and capital with farmers' income, indicating that these factors contribute to higher production, which in turn increases income. However, production does not mediate the effect of land area on income, suggesting that while land expansion increases production, its direct impact on income may be influenced by other factors beyond production volume alone.
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 |