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: 6 / 6 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.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 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 | 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 | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 1 | 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 | 0 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 1 | 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 | 0 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 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 6 / 6 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): 2026-10-21T00:49:27.817723+00:00 — 2026-10-21T07:23:08.952765+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 | 6 | 6/6 |
| 2018 | All selected publications | 1 | 6 | 6/6 |
| 2019 | All selected publications | 1 | 6 | 6/6 |
| 2020 | All selected publications | 0 | 6 | 6/6 |
| 2021 | All selected publications | 0 | 6 | 6/6 |
| 2022 | All selected publications | 0 | 6 | 6/6 |
| 2023 | All selected publications | 0 | 6 | 6/6 |
| 2024 | All selected publications | 1 | 6 | 6/6 |
| 2025 | All selected publications | 1 | 6 | 6/6 |
| 2026 | All selected publications | 1 | 6 | 6/6 |
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 |
| 2020 | 1 |
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 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 | 6 | 3 | 5 | 6/6 | 0.5 | 0.0 | 33.3 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.

 
 
 Investing huge resources in different parts of economic and industrial sectors to increase and promote public welfare and also, provide opportunities for country`s reserves’ growth. Therefore, identifying accurate opportunities for investment is critical, since it helps investors to know the maximum benefits to the economy coupled with the greatest influences in removing the country`s economic problems and difficulties, especially in employment. This article investigates the relationship between investments, employment and the financial performance of the active cooperative enterprises of Fars province in Iran. Based on the considered conditions, 120 firms were selected from the population on the basis of the classified random sampling method during the period 2006-2011. The findings indicate that there is a positive and meaningful relationship between investment and employment in cooperative enterprises. Also, the results show that there is a significant difference among the financial performance of cooperative enterprises in different sectors on the basis of invested capital. Specifically, the increasing investments in agricultural and industrial sectors have led to higher Return On Assets (ROA) ratio.
 
 
The programmed co-operative enterprises’ innovation initiatives in Kenya have been below their expectations of customers. The majority (60%) of the customers are satisfied by banking and related financial services offered by co-operative enterprises in Kenya. This is below the expectations of what the customers perceive and what is realized at the point of service delivery. This study sought to provide insights into the relationship between technological innovation promoters and performance by empirically testing the direct effect of technological innovation promoters on performance and exploring the moderation effects of service quality practices. The study is anchored on the promoter theory and collective entrepreneurship concept. The study used a self-administered questionnaire to Chief Executive Officers of 158 Savings and Credit Co-operative Societies (SACCOs). Data were analyzed by employing Statistical Software for Social Sciences (SPSS) Version 22 and structural equation modeling using AMOS version 25. The hypotheses were tested using structural equation modeling and hierarchical moderated multiple regression (MMR). Overall, the study found out that, technological innovation promoters have a positive influence on the performance of SACCOs in Kenya, and service quality practices (R2 change) is 0.153. This implied that the moderating effect of service quality practices gained 15.3% variance in the SACCOs above and beyond the variance by technological innovation promoters and performance. This study concludes that an integrative model comprising of technological innovation promoters, service quality practices and performance is a sure way of enhancing collective entrepreneurship and recommends that SACCO management together with their partners should deliberately nurture a customer relationship management culture that will enable them to realize positive performance that has been influenced by service quality practices
Maize serves as South Africa's principal staple crop; yet, smallholder farmers in the Eastern Cape encounter persistent obstacles, such as low productivity and restricted market access. Cooperatives are often advocated to enhance livelihoods and facilitate farmers' integration into global value chains, however their efficacy remains contentious. This study investigates the impact of cooperative membership on maize market participation. A multi-stage stratified random sample of 200 farmers, comprising both cooperative members and non-members, was drawn from towns having functioning maize cooperatives. Data were collected via pre-tested questionnaires and analysed using a probit logistic regression model that accounts for socioeconomic and institutional variables. The findings demonstrate that cooperative participation exerts a substantial influence (β = 1.485, p = 0.102). Nonetheless, it lacks statistical significance at conventional thresholds. This indicates that although cooperative membership may enhance the probability of participating in formal markets, it does not ensure substantial involvement independently. Conversely, variables such as education, income, and employment position serve as more robust markers of engagement. The study indicates that while cooperatives promote collective action, it is essential to enhance governance, digital inclusion, and institutional support to enable effective integration into global value chains.
The national development plan (NDP) clearly states that communities should take initiatives to solve their own problems. One of the socio-economic problems faced by communities in South Africa is the effects of inequality, which is largely the apartheid era is responsible for. In trying to deal with the socio-economic problem of inequality, many communities in South Africa have resorted to forming and running cooperatives in different sectors of the economy. However, these cooperatives are reported to be facing numerous challenges, and in some cases, many of them fail or close down. The challenges mentioned range from a lack of capacity to manage, poor economic performance in the country, heavy reliance on government grants and many others. Despite the challenges faced by cooperatives in South Africa, they are still believed to be a very important tool in dealing with the problem of inequality, which mostly affects rural areas where most of these cooperatives operate. To understand the potential impact of cooperatives in dealing with inequality, this paper uses a qualitative approach. Secondary sources of published information by government agencies and cooperatives themselves will be used, as well as literature published by experts in the area of study. Preliminary findings of the paper are that cooperatives in South Africa are very small in size, and the majority of them are in primary sectors of the economy. If cooperatives are to play a significant role in dealing with inequality, there is a need for them to be capacitated to grow and also participate in upper value chains of the economy.
This study investigated the impact of healthcare interventions by agricultural cooperatives on women's recovery during the post-COVID-19 period in Kajiado County, Kenya. It explored how agricultural cooperatives address women's recovery in the post-COVID-19 period in Kajiado County. It examined support initiatives for women's recovery, internal healthcare mechanisms targeting women, and cooperative-led interventions in post-COVID-19 recovery. Supported by Social Capital Theory and Empowerment theory, the study focused on Kajiado County. Kajiado County was selected for its cultural diversity and economic activities. Utilizing a mixed-methods research design, the study included a sample size of 373 respondents, members of agricultural cooperatives. The qualitative phase involved interviews and focus groups, while the quantitative data was collected using structured questionnaires. This study employed a combination of stratified random sampling and purposive sampling. Findings were presented through tables, aiming to inform government regulators in policy formulation. The study concluded that women have largely positive perceptions of the healthcare interventions offered by agricultural cooperatives. The findings also suggested a strong positive correlation between women's experiences with healthcare initiatives and their recovery from the COVID-19 pandemic. The study further concluded that logistical and cultural barriers remain significant obstacles to women's access to healthcare services provided by agricultural cooperatives. Recommending that agricultural cooperatives must develop and implement robust communication strategies to bridge the gap between awareness and actual engagement in healthcare programs for women. The study encourages policymakers to work alongside cooperatives to broaden these programs, create accessible healthcare models that consider rural challenges, and overcome existing logistical and cultural obstacles. By building such collaborative frameworks, these efforts can enhance women’s resilience, support sustainable recovery, and contribute to enduring improvements in community health and economic resilience in rural areas.
Maize serves as South Africa's principal staple crop; yet, smallholder farmers in the Eastern Cape encounter persistent obstacles, such as low productivity and restricted market access. Cooperatives are often advocated to enhance livelihoods and facilitate farmers' integration into global value chains, however their efficacy remains contentious. This study investigates the impact of cooperative membership on maize market participation. A multi-stage stratified random sample of 200 farmers, comprising both cooperative members and non-members, was drawn from towns having functioning maize cooperatives. Data were collected via pre-tested questionnaires and analysed using a probit logistic regression model that accounts for socioeconomic and institutional variables. The findings demonstrate that cooperative participation exerts a substantial influence (β = 1.485, p = 0.102). Nonetheless, it lacks statistical significance at conventional thresholds. This indicates that although cooperative membership may enhance the probability of participating in formal markets, it does not ensure substantial involvement independently. Conversely, variables such as education, income, and employment position serve as more robust markers of engagement. The study indicates that while cooperatives promote collective action, it is essential to enhance governance, digital inclusion, and institutional support to enable effective integration into global value chains.
The national development plan (NDP) clearly states that communities should take initiatives to solve their own problems. One of the socio-economic problems faced by communities in South Africa is the effects of inequality, which is largely the apartheid era is responsible for. In trying to deal with the socio-economic problem of inequality, many communities in South Africa have resorted to forming and running cooperatives in different sectors of the economy. However, these cooperatives are reported to be facing numerous challenges, and in some cases, many of them fail or close down. The challenges mentioned range from a lack of capacity to manage, poor economic performance in the country, heavy reliance on government grants and many others. Despite the challenges faced by cooperatives in South Africa, they are still believed to be a very important tool in dealing with the problem of inequality, which mostly affects rural areas where most of these cooperatives operate. To understand the potential impact of cooperatives in dealing with inequality, this paper uses a qualitative approach. Secondary sources of published information by government agencies and cooperatives themselves will be used, as well as literature published by experts in the area of study. Preliminary findings of the paper are that cooperatives in South Africa are very small in size, and the majority of them are in primary sectors of the economy. If cooperatives are to play a significant role in dealing with inequality, there is a need for them to be capacitated to grow and also participate in upper value chains of the economy.
This study investigated the impact of healthcare interventions by agricultural cooperatives on women's recovery during the post-COVID-19 period in Kajiado County, Kenya. It explored how agricultural cooperatives address women's recovery in the post-COVID-19 period in Kajiado County. It examined support initiatives for women's recovery, internal healthcare mechanisms targeting women, and cooperative-led interventions in post-COVID-19 recovery. Supported by Social Capital Theory and Empowerment theory, the study focused on Kajiado County. Kajiado County was selected for its cultural diversity and economic activities. Utilizing a mixed-methods research design, the study included a sample size of 373 respondents, members of agricultural cooperatives. The qualitative phase involved interviews and focus groups, while the quantitative data was collected using structured questionnaires. This study employed a combination of stratified random sampling and purposive sampling. Findings were presented through tables, aiming to inform government regulators in policy formulation. The study concluded that women have largely positive perceptions of the healthcare interventions offered by agricultural cooperatives. The findings also suggested a strong positive correlation between women's experiences with healthcare initiatives and their recovery from the COVID-19 pandemic. The study further concluded that logistical and cultural barriers remain significant obstacles to women's access to healthcare services provided by agricultural cooperatives. Recommending that agricultural cooperatives must develop and implement robust communication strategies to bridge the gap between awareness and actual engagement in healthcare programs for women. The study encourages policymakers to work alongside cooperatives to broaden these programs, create accessible healthcare models that consider rural challenges, and overcome existing logistical and cultural obstacles. By building such collaborative frameworks, these efforts can enhance women’s resilience, support sustainable recovery, and contribute to enduring improvements in community health and economic resilience in rural areas.
Cooperatives are still one of the many solutions offered from the concept of populist economy which was initiated since the time of independence. However, after several years of cooperative existence there are still many cases that have not been successfully handled by the government related to cooperatives that are fraudulent and act criminally against their members. This has made people's trust in cooperatives begin to decline. This study aims to determine the factors that can increase interest in joining members, namely interpersonal skills, organizational image and religiosity. The research method used was structural equation modeling (SEM-PLS) using the Smartpls version 3 application. The results showed that interpersonal skills and organizational image had a significant positive effect on religiosity and intention to join. Furthermore, religiosity mediates the influence between the two independent variables.
The programmed co-operative enterprises’ innovation initiatives in Kenya have been below their expectations of customers. The majority (60%) of the customers are satisfied by banking and related financial services offered by co-operative enterprises in Kenya. This is below the expectations of what the customers perceive and what is realized at the point of service delivery. This study sought to provide insights into the relationship between technological innovation promoters and performance by empirically testing the direct effect of technological innovation promoters on performance and exploring the moderation effects of service quality practices. The study is anchored on the promoter theory and collective entrepreneurship concept. The study used a self-administered questionnaire to Chief Executive Officers of 158 Savings and Credit Co-operative Societies (SACCOs). Data were analyzed by employing Statistical Software for Social Sciences (SPSS) Version 22 and structural equation modeling using AMOS version 25. The hypotheses were tested using structural equation modeling and hierarchical moderated multiple regression (MMR). Overall, the study found out that, technological innovation promoters have a positive influence on the performance of SACCOs in Kenya, and service quality practices (R2 change) is 0.153. This implied that the moderating effect of service quality practices gained 15.3% variance in the SACCOs above and beyond the variance by technological innovation promoters and performance. This study concludes that an integrative model comprising of technological innovation promoters, service quality practices and performance is a sure way of enhancing collective entrepreneurship and recommends that SACCO management together with their partners should deliberately nurture a customer relationship management culture that will enable them to realize positive performance that has been influenced by service quality practices
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 |