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: 8 / 8 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 07:59 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.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 selected publications.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 selected publications.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 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 | 3 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 9 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 6 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 | 3/3 |
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 8 / 8 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): 2026-10-21T07:22:43.956819+00:00 — 2026-10-22T07:59:09.262870+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 | 8 | 8/8 |
| 2018 | All selected publications | 0 | 8 | 8/8 |
| 2019 | All selected publications | 0 | 8 | 8/8 |
| 2020 | All selected publications | 0 | 8 | 8/8 |
| 2021 | All selected publications | 3 | 8 | 8/8 |
| 2022 | All selected publications | 3 | 8 | 8/8 |
| 2023 | All selected publications | 2 | 8 | 8/8 |
| 2024 | All selected publications | 3 | 8 | 8/8 |
| 2025 | All selected publications | 5 | 8 | 8/8 |
| 2026 | All selected publications | 0 | 8 | 8/8 |
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 |
| 2021 | 3 |
| 2022 | 3 |
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 | 8 | 7 | 16 | 8/8 | 0.88 | 0.5 | 50.0 | 8/8 · 100.0% |
* Percentage among publications with a known citation count.
Contemporary employees spend most of their working lives in the workplace. Work provides economic, social and psychological experiences that promote the mental wellbeing of individuals. The work environment should be devoid of hazards as much as possible to provide healthy and decent work for the workforce. However, numerous injuries, illnesses, property damages, and process losses take place at different workplaces. It is unclear how effectively OSH programs are being implemented in Kenya’s water sector since no study has been done. The general objective of the study was to establish an influence of management commitment on Occupational Health and Safety policies implementation in Water and Sanitation Companies in Kenya, a study of water and Sanitation Companies in Nyeri County. The study was based on the theoretical foundation that comprises two theories Leader-Member Exchange theory and Bourgeois and Brodwins Five Models of Strategy Implementation. The target population consisted of 474 employees in all water & sanitation companies in Nyeri County. From this population, a sample of 243 respondents was drawn using a random sampling technique but only 188 respondents filled and returned valid questionnaires giving the study an 80% response rate. The study employed both descriptive and inferential statistics to present and analyze the data. Quantitative data was analyzed using descriptive statistical tools namely frequencies, percentages, mean and standard deviation while inferential statistical tools such as multiple regression were used to determine the relationship between variables. The study findings revealed that there was a statistically significant positive relationship between management commitment and implementation, the 27.9% unit change in the implementation of OSH policies was explained by the management commitment. The study recommends that the water companies’ management should be committed to the implementation of OSH.
The objective of the study is to analyse the influence of social protection on access to health care among elderly persons in informal settlements Nakuru Town, Kenya. The study was based on the Disengagement theory and utilized a descriptive research design to target individuals of 70 years and above, within the informal settlements in Nakuru Town, Kenya. Cluster and simple random sampling techniques were used to select 399 respondents from a target population of 248,785 elderly persons. Data was collected from the sample using a semi-structured questionnaire and analysed using descriptive statistics, cross-tabulation with chi-square, and the thematic content analysis method. Quantitative analysis was aided by Statistical Package for Social Sciences (SPSS) version 27 software. Results showed that the majority of the respondents (70.3%) had low access to health care services. Access to health care services is influenced by social protection programmes specifically cash transfers, government interventions in health care, and retirement benefits. Based on these findings, the study recommends that policymakers should create awareness regarding the existence of government interventions such as health insurance subsidy programme (HISP) and the importance of enrolling to retirement benefit schemes and saving for old age.
Corporate mergers are important for organizations to position themselves for growth and development. Stanbic Bank was formed as a result of a merger between CFC Bank and Stanbic Bank. Anecdotal evidence suggests that the merger has led to positive outcomes, but specific aspects of the merger that have contributed towards the organizational development of Stanbic Bank remain unclear. The study investigated the influence of Post-Merger Restructuring on the organizational development of Stanbic Bank Kenya. It was guided by efficiency theory and collected data from 27 branch managers and 9 senior sectional heads using a semi-structured questionnaire where a 75% response rate was achieved. Data were analyzed using descriptive and inferential statistics. Results showed that post-merger restructuring has a positive and statistically significant influence on organizational development at Stanbic Bank. The researcher concluded that post-merger restructuring had a positive influence on the organizational development of banks. The study recommends that banks should retrain their workforce, inculcate new culture, and redesign their operations in the post-merger period so as to realize the intended benefits.
This paper examined the effect of working capital management practices on the operational performance of selected supermarkets with the national network in Kenya focusing on inventory and creditors’ management as well as receivables and liquidity practices. The paper was pegged on Agency Theory, Iceberg Theory of Money Management and Cash Management Theory. Guided by descriptive research design, 52 branch managers were sampled from four major supermarkets using both the stratified and random sampling methods. Data were analyzed using both descriptive and inferential statistical analysis. Findings revealed that inventory and creditors management practices had a very low effect on the operational performance of supermarkets in Kenya. The study, therefore, recommends that supermarkets should introduce a system where managers are fully equipped with working capital management skills. This should be done continuously to prevent the occurrence of severe liquidity challenges which have witnessed in the past.
This study aims to determine the influence of work specialization on realization of superordinate goals in selected NGOs in Naivasha sub-county, Kenya. The study was underpinned by the systems-thinking and McKinsey’s 7s models. A descriptive survey research design was adopted. The target population consisted of 120 managers and members of the board of directors of eight NGOs in the Naivasha sub-county, Kenya. Using the Krejcie and Morgan formula and the stratified sampling technique, 92 respondents were selected to participate in the study. The research instrument was a self-administered questionnaire consisting of closed and open-ended questions. The thematic analysis method was used for qualitative data analysis, presented using narratives, while quantitative data was analyzed using frequencies and percentages. Inferential statistics analysis involved Pearson correlation and multiple linear regression analysis in establishing the relationship between work specialization and the realization of superordinate goals. The data was presented using tables. Research ethics were upheld when carrying out the study. This study found that work specialization had a statistically significant relationship with realization of superordinate goals in selected NGOs in Naivasha Sub-county, Kenya. Also, work specialization had a statistically significant influence on the realization of superordinate goals in selected NGOs in the Naivasha sub-county, Kenya, with a p-value of (p<0.05). This study recommends that a similar study be conducted to get other employees' and NGO beneficiaries’ perspectives on work specialization and realization of superordinate goals. The findings of this study will help NGOs to understand the cruciality of work specialization elements in realization of superordinate goals.
This study aims to determine the influence of work specialization on realization of superordinate goals in selected NGOs in Naivasha sub-county, Kenya. The study was underpinned by the systems-thinking and McKinsey’s 7s models. A descriptive survey research design was adopted. The target population consisted of 120 managers and members of the board of directors of eight NGOs in the Naivasha sub-county, Kenya. Using the Krejcie and Morgan formula and the stratified sampling technique, 92 respondents were selected to participate in the study. The research instrument was a self-administered questionnaire consisting of closed and open-ended questions. The thematic analysis method was used for qualitative data analysis, presented using narratives, while quantitative data was analyzed using frequencies and percentages. Inferential statistics analysis involved Pearson correlation and multiple linear regression analysis in establishing the relationship between work specialization and the realization of superordinate goals. The data was presented using tables. Research ethics were upheld when carrying out the study. This study found that work specialization had a statistically significant relationship with realization of superordinate goals in selected NGOs in Naivasha Sub-county, Kenya. Also, work specialization had a statistically significant influence on the realization of superordinate goals in selected NGOs in the Naivasha sub-county, Kenya, with a p-value of (p<0.05). This study recommends that a similar study be conducted to get other employees' and NGO beneficiaries’ perspectives on work specialization and realization of superordinate goals. The findings of this study will help NGOs to understand the cruciality of work specialization elements in realization of superordinate goals.
Mental health is an important developmental aspect of any society. This study sought to assess the effect of the county legal framework on the implementation of mental health programmes in Nakuru County. The study was guided by the General Systems Theory. A descriptive survey design was used which involved a mixed-methods approach. The target population was the 80 respondents who are directly associated with the implementation of mental health programmes in Nakuru County. Due to the small population, a census procedure was utilized. Primary data was collected through the use of a questionnaire and interview guide. Quantitative data was analyzed through the SPSS software (v25). Descriptive statistics were analyzed through the use of frequencies and percentages while inferential statistics were analyzed through the Pearson Correlation and linear regression analysis and the findings were presented in form of tables. The qualitative data were analyzed thematically and presented through narratives. The study found that the county legal framework had a positive relationship with the implementation of mental health programmes in Nakuru County, Kenya (r=0.428; p=0.000). The county legal framework positively and significantly affected the implementation of mental health programmes in Nakuru County, Kenya. Also, improving the county's legal framework would have a positive impact on the implementation of mental health programmes in Nakuru County, Kenya. This study recommends that a study should be conducted on the implementation of mental health programmes focusing on the service-users of mental health services and programmes in county governments in Kenya. It is hoped that the findings of this study will increase awareness of mental health services in the county as well as help policymakers formulate effective policies and strategies on mental health programmes, services and public service delivery in Nakuru County.
Team diversity management helps to improve the cohesion of a team and ultimately, organizational development is enhanced. The purpose of this study was to determine the effect of team diversity management on team cohesion at St. Martin Catholic Social Apostolate, Kenya. The study adopted a descriptive research design. The target population for the study was 115 employees at the St. Martin Catholic Social Apostolate in Kenya. Stratified and simple random sampling procedures were used to sample 92 employees. Data was collected using a questionnaire and the collected data was analyzed through the use of the Statistical Package for Social Scientists (SPSS) version 21. Descriptive statistical analysis involved the calculation of percentages and frequencies while inferential statistical analysis involved Pearson correlation in establishing the association of the variables under investigation. and Chi-square tests. Data was presented in the form of tables and charts. Qualitative data were analysed thematically and presented in the form of narratives. The study ensured that ethical considerations were adhered to. The study found a statistically significant relationship between team diversity management and team cohesion (p<0.05). The study concludes that each team member is held accountable for their activities and the decisions they make regarding the team and is included in team activities. The study recommends that the team leaders ensure that all team members are included in all team activities. This can be achieved through creating environments and opportunities that allow the team members to provide their opinions openly.
The objective of the study is to analyse the influence of social protection on access to health care among elderly persons in informal settlements Nakuru Town, Kenya. The study was based on the Disengagement theory and utilized a descriptive research design to target individuals of 70 years and above, within the informal settlements in Nakuru Town, Kenya. Cluster and simple random sampling techniques were used to select 399 respondents from a target population of 248,785 elderly persons. Data was collected from the sample using a semi-structured questionnaire and analysed using descriptive statistics, cross-tabulation with chi-square, and the thematic content analysis method. Quantitative analysis was aided by Statistical Package for Social Sciences (SPSS) version 27 software. Results showed that the majority of the respondents (70.3%) had low access to health care services. Access to health care services is influenced by social protection programmes specifically cash transfers, government interventions in health care, and retirement benefits. Based on these findings, the study recommends that policymakers should create awareness regarding the existence of government interventions such as health insurance subsidy programme (HISP) and the importance of enrolling to retirement benefit schemes and saving for old age.
Corporate mergers are important for organizations to position themselves for growth and development. Stanbic Bank was formed as a result of a merger between CFC Bank and Stanbic Bank. Anecdotal evidence suggests that the merger has led to positive outcomes, but specific aspects of the merger that have contributed towards the organizational development of Stanbic Bank remain unclear. The study investigated the influence of Post-Merger Restructuring on the organizational development of Stanbic Bank Kenya. It was guided by efficiency theory and collected data from 27 branch managers and 9 senior sectional heads using a semi-structured questionnaire where a 75% response rate was achieved. Data were analyzed using descriptive and inferential statistics. Results showed that post-merger restructuring has a positive and statistically significant influence on organizational development at Stanbic Bank. The researcher concluded that post-merger restructuring had a positive influence on the organizational development of banks. The study recommends that banks should retrain their workforce, inculcate new culture, and redesign their operations in the post-merger period so as to realize the intended benefits.
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 |