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: 15 / 15 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: 22 Oct 2026 01:09 UTC — 23 Oct 2026 11:30 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.
15 / 15 with data · 0 missing or unmatched. Percentages use all 15 selected publications.
15 / 15 with data · 0 missing or unmatched. Percentages use all 15 selected publications.
15 / 15 with data · 0 missing or unmatched. Percentages use all 15 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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 15 | 15 | 15/15 | 15/15 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 15 | 15 | 15/15 | 15/15 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 27 | 15 | 15/15 | 15/15 |
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 15 / 15 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): 2026-10-22T01:09:30.993851+00:00 — 2026-10-23T11:30:49.955662+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 | 15 | 15/15 |
| 2018 | All selected publications | 0 | 15 | 15/15 |
| 2019 | All selected publications | 0 | 15 | 15/15 |
| 2020 | All selected publications | 0 | 15 | 15/15 |
| 2021 | All selected publications | 0 | 15 | 15/15 |
| 2022 | All selected publications | 7 | 15 | 15/15 |
| 2023 | All selected publications | 4 | 15 | 15/15 |
| 2024 | All selected publications | 11 | 15 | 15/15 |
| 2025 | All selected publications | 4 | 15 | 15/15 |
| 2026 | All selected publications | 1 | 15 | 15/15 |
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 |
|---|---|
| 2021 | 15 |
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 | 15 | 15 | 27 | 15/15 | 1.0 | 0 | 46.7 | 15/15 · 100.0% |
* Percentage among publications with a known citation count.
Kenya is rapidly urbanizing at an annual rate of about 4.3%. One of the consequences of urbanization has been the problem of food insecurity in peri-urban areas. Increased migration to urban from rural areas has enhanced food insecurity in these areas. The peri-urban area of Kangundo-Tala in Machakos County is one of the fastest-growing peri-urban areas due to its proximity to the capital city of Nairobi. This study investigated the impact of home gardening in enhancing food security in the rapidly urbanizing middle-income Kangundo–Tala peri-urban areas of Machakos County, Kenya. The specific objectives of the study were: to identify the causes of households’ food insecurity in the study area; to examine the factors influencing the adoption of home gardening and; to establish the role of home gardening as a measure of households’ food security. To measure food security, three consumption behaviors were analyzed: consumption changes, food expenditure reduction and income expansion. A qualitative approach was adopted where a total of 120 newly settled households were interviewed. The three main causes of food insecurity were identified (i) small land sizes, (ii) low and erratic rainfall and, (iii) the socialization of peri-urban dwellers. About 68% of the households were practicing at least one form of home gardening. The need for safe and nutritious food, seasonal unavailability, and inaccessibility of food encouraged the establishment of home gardens. From the gardens, households were able to diversify their diets, access safe food and have food readily available. With enhanced stability in food availability, accessibility, and utilization, the study concluded that home gardens played a major role in enhancing food. However, the production was at a very small scale. Up-scaling of home gardening by the Ministry of Agriculture through training was recommended.
The aim of this study was to determine millennial influence on organization change in the hospitality industry Naivasha sub-county, Kenya. The study was guided by the following specific objectives: determine the influence of millennial innovativeness on organization change. This study used innovation theory. The study will adopt a descriptive survey research design. The current study targets rated hotels in Naivasha. This study targeted 180 respondents the respondents were: 10 Managers, 40 departmental heads from the four departments in the hotels, 10 Millennial and 120 supervisors. Employees of these hotels will be the respondents in the study. Data was collected via a self –administered questionnaires and an interview guide. Validity and reliability were ensured by conducting a pilot test in Narok County. Analysis of data comprised descriptive statistics and regression analysis with the help of SPSS. Results indicate that organizational change in the hospitality industry was positively significantly associated with millennial Innovation change in the hospitality industry. From the findings, the researcher concluded that millennials are innovative and easily come up with new ideas further they are proficient in technology and techno-savvy. .
The study aims to evaluate the moderating role of service innovation on the relationship between corporate reputation and the performance of hotels in Kenya. The study design used was cross-sectional descriptive utilizing the mixed approach. The target that served as the study population, was General Managers of all the 4-star hotels in Kenya. Primary data was collected by the use of a self-administered semi-structured questionnaire and secondary data from hotel records, journals, and government publications. Data analysis involved qualitative and quantitative techniques, analyses of variance (ANOVA), and Structural Equation Modelling (SEM) which tested the hypothesized relationship in this study. Statistical software such as Statistical Package for Social Sciences version 21, MS-Excel for Windows 8, Analysis of Moment Structures version 17, and SmartPLS version 2.0 was used for analysis. The theoretical models and hypotheses were tested based on empirical data gathered from 43 General Managers. The study findings indicate that corporate reputation positively and significantly influences performance (C.R = 5.907 at 5% ?-level) and service innovation moderates (R2 change = 0.054) the relationship between corporate reputation and performance. The study results are meant to benefit hotel industry policymakers, academicians, and other opportunistic entrepreneurs. The recommendation is that the hotel industry should invest seriously in corporate reputation so as to influence customer purchase behavior and improved performance.
This study examines the influence of service reliability on customer satisfaction in the insurance industry in Kenya. The study was anchored on the Assimilation Contrast Theory and employed a descriptive research design. Primary data was collected using a structured self-administered questionnaire. Data analysis was conducted using descriptive statistics where the mean and standard deviation were determined. Data were analyzed in two levels, the customer level, and the entity level. The study employed the linear mixed effect models of structural equation modeling (SEM) considering the multi-level structure of the data collected. Results were presented in form of tables and path diagrams for the structural equation models. Service reliability was found to have a statistically significant influence on customer satisfaction (? =0.840, p-value= 0.027). The study found that there was a variation of levels of customer satisfaction across entities but this was not attributed to service reliability. The conclusion made was that service reliability significantly influenced customer satisfaction in the insurance industry in Kenya at the customer level but did not significantly influence the variations of customer satisfaction between the insurance companies.
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.
This paper examines the effect of a company's innovation orientation culture on employee turnover among selected non-governmental organizations in Samburu, Kenya. A stratified random sampling technique was used to select 78 NGOs operating in Samburu County for the analysis, the study population comprised 11 senior management teams, 14 technical teams and 78 junior staff in 24 selected and active NGOs in Samburu. The analysis gathered both qualitative and quantitative data. A structured questionnaire was used to collect quantitative data and an interview guide was used to collect qualitative data. Thematic data analysis was used to interpret qualitative data, which included common terms, phrases, themes, and patterns. Quantitative data were analyzed using descriptive statistics which includes frequencies, means, and standard deviation. Findings Results showed that innovation orientation is positively correlated with employee turnover (r=0.375, P=0.01). This supports Chow et al’s (2001) study which revealed that innovation orientation as part of an organization's culture has a significant effect on employee turnover. This study also discovered that an innovation orientation culture embedded in an NGO's ideology will help to reduce turnover because workers feel valued when their work is recognized for creativity and innovation.
The aim of this study was to determine millennial influence on organization change in the hospitality industry Naivasha sub-county, Kenya. The study was guided by the following specific objectives: determine the influence of millennial innovativeness on organization change. This study used innovation theory. The study will adopt a descriptive survey research design. The current study targets rated hotels in Naivasha. This study targeted 180 respondents the respondents were: 10 Managers, 40 departmental heads from the four departments in the hotels, 10 Millennial and 120 supervisors. Employees of these hotels will be the respondents in the study. Data was collected via a self –administered questionnaires and an interview guide. Validity and reliability were ensured by conducting a pilot test in Narok County. Analysis of data comprised descriptive statistics and regression analysis with the help of SPSS. Results indicate that organizational change in the hospitality industry was positively significantly associated with millennial Innovation change in the hospitality industry. From the findings, the researcher concluded that millennials are innovative and easily come up with new ideas further they are proficient in technology and techno-savvy. .
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.
The current operational setup in Kenya’s Universities is a turbulent one and highly competitive market condition. To ensure survival and sustainability, public universities require to adopt and implement competitive strategies. Many scholars have investigated sustainability efforts by Universities in pursuit of performance, however, it is still not clear how sustainable strategies have the greatest influence on the performance of Public Universities. Thus, the study set to establish the influence of sustainability strategies on the performance of Public Universities in Kenya. The study was anchored on resource-based theory. To achieve the objectives, the study was anchored on a pragmatic philosophy and mixed research design with a target population of 234 University top managers. Primary data was collected using a 5 point Likert-type questionnaire and an interview guide. Data were analyzed using descriptive and inferential statistics. Findings revealed that sustainability strategies had a significantly statistical influence on the performance of public universities in Kenya. The regression analysis for composite results revealed that sustainability strategies (SS) alone account for 53% of the variation of performance of Public Universities (R2=0.53, (t=7.68, p<0.05). Regression analysis for individual results, cost reduction (CR) (R2 0.518, t=18.07 p, <0.05), collaboration (C) (R2=0.418, t=2.7 p, <0.05) and diversification (D) (R2=0.218, t=8.07 p, <0.05). This study concluded that implementation of sustainability strategies (cost reduction, diversification, and collaboration) are essential strategies Public Universities can use in their endeavor to improve their performance.
This study aims to determine the influence of corporate governance on performance of Public Universities in Kenya. The study was anchored on social network theory. To achieve the objective, the study was based on a pragmatic philosophy and mixed research design with a target population of 234 University top managers. Primary data was collected using a 5 point Likert type questionnaire and an interview guide. Data was analyzed using descriptive and inferential statistics. Findings revealed that corporate governance had significantly statistical influence on performance of public universities in Kenya. This study concluded that adherence to good corporate governance practices are essential strategies Public Universities can use in their endeavour to improve on their performance. It is further recommended that University top managers should adhere to good corporate governance practices, specifically to management guidelines, allow for public participation and be transparent in their actions. Further, the results present important implications to University top managers, other corporate entities, policy makers, and stakeholders in the University education sector in Kenya and across the world.
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 |