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: 13 / 13 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 — 23 Oct 2026 12:04 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.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 selected publications.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 selected publications.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 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 | 13 | 13 | 13/13 | 13/13 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 2 | 13 | 13/13 | 13/13 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 6 | 13 | 13/13 | 13/13 |
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 13 / 13 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): 2026-10-21T07:22:54.931173+00:00 — 2026-10-23T12:04:33.657164+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 | 13 | 13/13 |
| 2018 | All selected publications | 0 | 13 | 13/13 |
| 2019 | All selected publications | 0 | 13 | 13/13 |
| 2020 | All selected publications | 0 | 13 | 13/13 |
| 2021 | All selected publications | 0 | 13 | 13/13 |
| 2022 | All selected publications | 0 | 13 | 13/13 |
| 2023 | All selected publications | 0 | 13 | 13/13 |
| 2024 | All selected publications | 2 | 13 | 13/13 |
| 2025 | All selected publications | 2 | 13 | 13/13 |
| 2026 | All selected publications | 2 | 13 | 13/13 |
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 | 13 |
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 | 13 | 2 | 6 | 13/13 | 0.15 | 0 | 15.4 | 13/13 · 100.0% |
* Percentage among publications with a known citation count.
Management by Objectives (MBO) is a performance management approach where employees and managers collaborate to set individual goals aligned with broader organizational objectives. While MBO's potential benefits are recognized, its effectiveness particularly in the context of varying organizational cultures and appraisal purposes, remains unclear. The general objective of the study was to investigate the relationship between MBO and employee performance within Isiolo County Government. The study specifically examined the influence of evaluation on employees’ performance in Isiolo County. The study was grounded on image theory. The population of study was 260 employees across seven county ministries. Data was collected using a questionnaire subjected to pilot study. Quantitative data was analyzed using both descriptive and inferential statistics. The study showed that overall evaluation (with a p-value of 0.897) does not significantly contribute to employee performance within the County Government of Isiolo. Therefore, the null hypothesis for evaluation was accepted. Because the study found no significant influence of evaluation on employee performance, there is a critical need for organization to refine their evaluation systems. To gain a deeper understanding of the long-term impact of evaluation on employee performance in Kenyan county governments, longitudinal research is warranted. The study recommends need for Isiolo County Government to improve its evaluation processes. Evaluators should provide valuable input to aid in performance improvement in employees of Isiolo county government.
Commercial banks in Kenya operate in quite dynamic financial market environment and continue to experience stiff competition in the provision of financial services. The liberation of the financial markets has resulted into an upsurge in the number of institutions providing financial products and services, threatening the future of Kenyan commercial banks. This study aimed at determining the effect of strategic alliances on competitive advantage of commercial banks in Kenya. The objectives were to determine effect of joint ventures, equity alliances, and joint research and development on the competitiveness of Kenyan banks. The following theories informed this research; Resource Based View theory, competitive theory, and resource dependence theory. Causal research design was adopted where all the 42 Kenyan commercial banks formed the target population. Census survey sampling design was applied and semi-structured questionnaire used. Reliability and validity results were used to improve the research instrument prior to the actual data collection. Data was analyzed using descriptive and inferential statistics. Study found that joint venture (?=0.435, p=0.000) equity alliances (?=0.227, p=0.018), and joint research and development (?=0.0.612, p=0.000) had positive significant effects on competitive advantage. With a coefficient of determination (R-square) of 68.9% and overall p-value of 0.000, the study concluded strategic alliances have a statistical significant effect on competitive advantage. The study recommends that managements of commercial banks should fast-truck implementation of such alliances to for improved competitiveness.
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.
Savings and Credit Cooperative Societies are important economic institutions that offer credit and other financial services in many developing countries, including Kenya. However, their performance is impacted by several factors, including high competition. The Balanced Scorecard (BSC) serves as a tool of strategic value, enabling organizations harmonize their activities with their strategic goals. In Kenya, despite the significant contributions Savings and Credit Cooperative Societies deliver to economic growth, few studies have examined factors that affect their performance. The goal of this study was to examine the correlation between the perspectives of the Balanced Scorecard and the competitiveness of Savings and Credit Cooperatives located in Kajiado County, Kenya. The specific aims of the study included assessing how the perspectives of the Balanced Scorecard, namely, financial perspective, customer perspective, internal business processes, and learning and growth perspective, affect the competitiveness. of Savings and Credit Cooperative Societies within Kajiado County. This study was anchored on the theoretical frameworks of Balanced Score Card, Resource-Based View and Dynamic Capabilities theory. The study utilized a cross-sectional survey research design, guided by objectivism as an ontological approach, a positivist epistemology, and a deductive approach for data collection and analysis. The study’s target population included the deposit taking Savings and Credit Cooperative Societies in Kajiado County (N= 22). Purposive sampling was employed to identify 22 Savings and Credit Cooperative Societies and 32 personnel members from the 5 main sub counties. Data collection involved the utilization of a structured questionnaire self-administered by the respondents themselves. The data collected was analyzed by the Statistical Package for Social Sciences, encompassing both descriptive and inferential statistical methods. The relationship between distinct independent variables and company competitiveness was analyzed using multiple regression. The critical value for regression was 0.05, and the 95% confidence interval was used. The study found a strong, statistically significant positive correlation between SACCO competitiveness and customer perspective (r = .899, p = .000). Also, a strong, positive, and statistically significant correlation was found to exist between financial perspective and SACCO competitiveness (r = .841, p = .000). A similar strong positive correlation was observed between internal business processes and SACCO competitiveness (r = .805, p = .001). Similarly, learning and growth exhibited a strong, positive correlation with SACCO competitiveness (r = .817, p = .001). Some of the balanced score card perspectives, such as financial and customer perspectives, positively predict SACCO competitiveness. The relationships are also statistically significant. However, internal business process and learning and growth, negatively predict SACCO competitiveness. The relationships are not statistically significant. It was recommended that the management of SACCOs should enhance the customer perspective and the financial perspective to boost competitiveness, while strengthening the other perspectives.
The Kenyan government has implemented numerous reforms, including the inclusion of the manufacturing sector as one of the government's four major agendas for revitalizing the sector. Despite these reforms, statistics show that over the last ten years, manufacturing industries in Kenya listed on the Nairobi Securities Exchange have experienced stagnation and declining profits, slowing growth, and declining market share, necessitating the establishment and execution of effective corporate governance. Therefore, the current study investigated the effects of corporate governance on performance of manufacturing and allied firms listed at Nairobi Security Exchange, Kenya. The study specifically investigated the effects of board composition, board size, board independence and board diversity on performance of manufacturing and allied firms. Agency theory, RBV and stakeholder’s theory anchor the study. Descriptive research design was used. Stratified random sampling technique was used as a sampling technique. A self-administered semi-structured questionnaire was used to collect primary data from a population of four hundred and thirty-nine manufacturing and allied firms. Two hundred and nine corporate managers from these manufacturing companies were sampled. A pilot test of twenty-nine respondents was conducted. Collected data was coded, cleaned, and analyzed. Data analysis included the creation and interpretation of descriptive means, percentages, and standard deviations, which was presented in the form of tables, charts, and graphs. The results of regression analysis established that board composition, board size, board independence and board diversity significant influenced firm performance of manufacturing and Allied Firms listed at the Nairobi Securities Exchange, Kenya.
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.
Savings and Credit Cooperative Societies are important economic institutions that offer credit and other financial services in many developing countries, including Kenya. However, their performance is impacted by several factors, including high competition. The Balanced Scorecard (BSC) serves as a tool of strategic value, enabling organizations harmonize their activities with their strategic goals. In Kenya, despite the significant contributions Savings and Credit Cooperative Societies deliver to economic growth, few studies have examined factors that affect their performance. The goal of this study was to examine the correlation between the perspectives of the Balanced Scorecard and the competitiveness of Savings and Credit Cooperatives located in Kajiado County, Kenya. The specific aims of the study included assessing how the perspectives of the Balanced Scorecard, namely, financial perspective, customer perspective, internal business processes, and learning and growth perspective, affect the competitiveness. of Savings and Credit Cooperative Societies within Kajiado County. This study was anchored on the theoretical frameworks of Balanced Score Card, Resource-Based View and Dynamic Capabilities theory. The study utilized a cross-sectional survey research design, guided by objectivism as an ontological approach, a positivist epistemology, and a deductive approach for data collection and analysis. The study’s target population included the deposit taking Savings and Credit Cooperative Societies in Kajiado County (N= 22). Purposive sampling was employed to identify 22 Savings and Credit Cooperative Societies and 32 personnel members from the 5 main sub counties. Data collection involved the utilization of a structured questionnaire self-administered by the respondents themselves. The data collected was analyzed by the Statistical Package for Social Sciences, encompassing both descriptive and inferential statistical methods. The relationship between distinct independent variables and company competitiveness was analyzed using multiple regression. The critical value for regression was 0.05, and the 95% confidence interval was used. The study found a strong, statistically significant positive correlation between SACCO competitiveness and customer perspective (r = .899, p = .000). Also, a strong, positive, and statistically significant correlation was found to exist between financial perspective and SACCO competitiveness (r = .841, p = .000). A similar strong positive correlation was observed between internal business processes and SACCO competitiveness (r = .805, p = .001). Similarly, learning and growth exhibited a strong, positive correlation with SACCO competitiveness (r = .817, p = .001). Some of the balanced score card perspectives, such as financial and customer perspectives, positively predict SACCO competitiveness. The relationships are also statistically significant. However, internal business process and learning and growth, negatively predict SACCO competitiveness. The relationships are not statistically significant. It was recommended that the management of SACCOs should enhance the customer perspective and the financial perspective to boost competitiveness, while strengthening the other perspectives.
Management by Objectives (MBO) is a performance management approach where employees and managers collaborate to set individual goals aligned with broader organizational objectives. While MBO's potential benefits are recognized, its effectiveness particularly in the context of varying organizational cultures and appraisal purposes, remains unclear. The general objective of the study was to investigate the relationship between MBO and employee performance within Isiolo County Government. The study specifically examined the influence of evaluation on employees’ performance in Isiolo County. The study was grounded on image theory. The population of study was 260 employees across seven county ministries. Data was collected using a questionnaire subjected to pilot study. Quantitative data was analyzed using both descriptive and inferential statistics. The study showed that overall evaluation (with a p-value of 0.897) does not significantly contribute to employee performance within the County Government of Isiolo. Therefore, the null hypothesis for evaluation was accepted. Because the study found no significant influence of evaluation on employee performance, there is a critical need for organization to refine their evaluation systems. To gain a deeper understanding of the long-term impact of evaluation on employee performance in Kenyan county governments, longitudinal research is warranted. The study recommends need for Isiolo County Government to improve its evaluation processes. Evaluators should provide valuable input to aid in performance improvement in employees of Isiolo county government.
The Kenyan government has implemented numerous reforms, including the inclusion of the manufacturing sector as one of the government's four major agendas for revitalizing the sector. Despite these reforms, statistics show that over the last ten years, manufacturing industries in Kenya listed on the Nairobi Securities Exchange have experienced stagnation and declining profits, slowing growth, and declining market share, necessitating the establishment and execution of effective corporate governance. Therefore, the current study investigated the effects of corporate governance on performance of manufacturing and allied firms listed at Nairobi Security Exchange, Kenya. The study specifically investigated the effects of board composition, board size, board independence and board diversity on performance of manufacturing and allied firms. Agency theory, RBV and stakeholder’s theory anchor the study. Descriptive research design was used. Stratified random sampling technique was used as a sampling technique. A self-administered semi-structured questionnaire was used to collect primary data from a population of four hundred and thirty-nine manufacturing and allied firms. Two hundred and nine corporate managers from these manufacturing companies were sampled. A pilot test of twenty-nine respondents was conducted. Collected data was coded, cleaned, and analyzed. Data analysis included the creation and interpretation of descriptive means, percentages, and standard deviations, which was presented in the form of tables, charts, and graphs. The results of regression analysis established that board composition, board size, board independence and board diversity significant influenced firm performance of manufacturing and Allied Firms listed at the Nairobi Securities Exchange, Kenya.
This study reports empirical findings of a survey conducted among pharmaceutical distributors serving informal settlement areas in Nairobi city county. The pharmaceutical distributors face several challenges when serving these areas calling the management of the distributors to resort to social innovation as a viable strategy for business survival. The concern however is how sustainable such a strategy is to the survival of the business undertaken by the pharmaceutical distributors. The study was guided by the postulates of the Three Cycle and Tripple Bottom Line models to answer three objectives that sought to address how social innovation has been adopted, the level of sustainability attained as well as the effect of the level of social innovation on the level of sustainability attained. The study drew its population from 30 pharmaceutical distributors targeting informal settlement areas in Nairobi and obtained primary data from managers heading 7 key departments in each distributor. The study was responded to by 168 managers from 30 pharmaceuticals representing 80.4% response rate. Two components of social innovation, namely promoting social values and community empowerment were extracted through Exploratory Factor Analysis and were found to be practiced to a moderate extent (M=3.6; SD=1.36) and contributed to high level of sustainability (M=3.808; SD=1.025). A path analysis constructed using structural equation modelling indicated that the two components of social innovation have varying degrees of contribution to the three pillars of sustainability (planet, people & profit) with the highest being that on people (R2=4.03) and the least on profit(R2=3.46). Overall social innovation has a negative effect on sustainability (?=-0.13; p<0.05). The findings provide useful insights on the role of social innovation as a viable strategy for the sustainability of the pharmaceutical industry and makes suggestions on how it can be deployed to enhance sustainability in the pharmaceutical industry. The findings raise important implications on the relevance of the Three Cycle and Triple Bottom Line Models in explaining the role of social innovation in attaining the goal of sustainability in organizations.
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 |