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: 47 / 47 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 00:49 UTC — 27 Oct 2026 19:04 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.
47 / 47 with data · 0 missing or unmatched. Percentages use all 47 selected publications.
47 / 47 with data · 0 missing or unmatched. Percentages use all 47 selected publications.
47 / 47 with data · 0 missing or unmatched. Percentages use all 47 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 | 47 | 47 | 47/47 | 47/47 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 67 | 47 | 47/47 | 47/47 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 124 | 47 | 47/47 | 47/47 |
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 47 / 47 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): 2026-10-22T00:49:58.615405+00:00 — 2026-10-27T19:04:50.688962+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 | 47 | 47/47 |
| 2018 | All selected publications | 0 | 47 | 47/47 |
| 2019 | All selected publications | 0 | 47 | 47/47 |
| 2020 | All selected publications | 0 | 47 | 47/47 |
| 2021 | All selected publications | 4 | 47 | 47/47 |
| 2022 | All selected publications | 25 | 47 | 47/47 |
| 2023 | All selected publications | 27 | 47 | 47/47 |
| 2024 | All selected publications | 34 | 47 | 47/47 |
| 2025 | All selected publications | 18 | 47 | 47/47 |
| 2026 | All selected publications | 16 | 47 | 47/47 |
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 | 47 |
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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 2 | 1 | 1 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 2 | 3 | 1/1 | 2.0 | 2 | 100.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 6 | 9 | 17 | 6/6 | 1.5 | 0.5 | 50.0 | 6/6 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 38 | 55 | 103 | 38/38 | 1.45 | 1.0 | 63.2 | 38/38 · 100.0% |
* Percentage among publications with a known citation count.
The objective of this paper was to present a dynamic resource orchestration framework as a source of organizational resilience through blended orchestration of the firm's dynamic and static resources to generate sustained value during disruptive shocks. We adopted an integrative literature review methodology and proposed a dynamic resource orchestration framework as a managerial option to create and sustain firm value. Conceptually, a dynamic resource orchestration framework was presented as the integration of firm resources and managerial capability. We proposed dynamic resource orchestration as a model input impacting organizational resilience through the combined effects of resource accumulation, resource orchestration, and managerial capabilities. Through a thorough examination of the literature production anchored on dynamic capabilities framework and organizational resilience, we advanced a perspective that the ultimate source of combined firm resilience and sustainable competitive advantage does not necessarily accrue from the resources at a firm's disposal but by how management dynamically blends and orchestrates the existing resources, thereby creating an optimal source of capability. Our proposed conceptualization was based on the assumption that dynamic capabilities are part of firm resources and, therefore, strategic orchestration of dynamic capabilities leads to superior firm resourcefulness and consequential sustained resilience. We identified gaps and proposed directions for future research.
The theory of dynamic resource orchestration explains the differentiated response of homogeneous ecosystem organizations to systemic disruptive shocks. The Covid-19 precautionary measures in Kenya have exempted some essential service providers and government agencies, resulting in a differentiated Covid-19 impact across the national SMEs landscape. This article adopted an extractive thematic analysis technique to draw insights from in-depth interviews and discussions with owners and managers of 6 broad-range SMEs considered non-essential services providers excluded from the Covid-19 cessation of movement waiver. The article advanced insights on SMEs' resilience through dynamic resource orchestration capability. It sought to establish whether the possession and orchestration of dynamic resources capabilities differentiated highly resilient SMEs from non-resilient ones. The article identified business diversification, slack finance, intra-stakeholder collaboration, self-reinvention, positive psychology, technology leverage, and cost management as precursory resilience agents within Kenyan SMEs. Research gaps were identified, and recommendations for future research were proposed.
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.
This study aims to investigate the effect of demographic factors on the turnover intentions of teachers in public secondary schools in Murang’a county Kenya. The study was guided by the following specific objectives: To investigate the association between age and education and turnover intentions; to establish the association between gender and turnover intentions; to determine the association between tenure and turnover intentions and to establish the association between educational level and turnover intentions. The study was guided by the Social exchange and Organization equilibrium theories. This study was a cross-sectional study and adopted descriptive and explanatory research designs. The target population was 3752 Teachers Service Commission (TSC) teachers in 304 public secondary schools in Murang’a county Kenya. The study thus used multi-stage random to select a sample size of 400 teachers and 40 schools. A self-administered questionnaire was used to collect the demographic data. Data were analyzed using cross-tabulation and Pearson Chi-square statistics. The study findings indicated that age has a significant association with turnover intentions while employee tenure, gender, and educational level have no significant association with turnover intentions.
This study aimed at evaluating the effect of organizational culture on strategy implementation in Private chartered universities in Kenya. The objective of this study was to ascertain the effect of hierarchy culture on the strategy implementation in Private chartered universities in Kenya. A cross-sectional survey research design was adopted and it used both quantitative and qualitative data as it seeks the effect of organizational culture on the implementation of corporate strategy. The accessible population included University and students’ leaders. This study used both stratified random sampling and the target sample size was 194 employees. The statistical package for social sciences (SPSS) version 21 was used to describe the relationships between dependent and independent variables. The study used correlation and regression techniques as well as the analysis of variance (ANOVA) to test the study hypotheses. A multiple linear regression model was also used to derive inferential statistical indicators like the correlation, coefficient of determination, F-statistics, t-test statistic, and the p-value. In this research Pearson’s correlation analysis was used to test for the existence of multicollinearity. Normality testing was done to compare the cumulative distribution of the data. Factor analysis was also carried out on all items in each variable in order to reduce the measurable and observable variables. The key finding based on the tests conducted in the study was that the variable: Hierarchy culture had an effect on the dependent variable: Strategy implementation. The p-value published showed that there was a positive effect of hierarchy culture on strategy implementation in Private chartered universities in Kenya
Collapse of companies in Kenya has been on the rise in the recent past. Far reaching endeavors to resuscitate these liquidating and ailing firms have generally been attributed on their corporate financial management decisions. Multinationals and KTDA managed tea firms in Kenya have been performing poorly in the recent past where audited financial statements and reports revealed a warning signal on its financial performance. Specific objectives of the study were to determine the effect of the accounts receivables period, accounts payables period, inventory conversion period, cash conversion cycle, financing policy, investing policy and moderating effect of ownership structure on financial performance. The study illustrated that accounts receivables collection period is negatively related to return on assets (? = -0.1299, p=0.0160), accounts payables payment period is negatively related to return on assets (? = -0.0843, p = 0.0070), inventory conversion period is negatively related to return on assets (?= -0.0623, p=0.0180), cash conversion cycle is negatively related to return on assets (? = -0.1107, p = 0.0030), financing policy is positively related to return on assets (? = 0.1589, p = 0.0000), investing policy is positively related to return on assets (? = 0.0291, p = 0.0000).
This study sought to determine the contributions of satellite campuses on financial sustainability of public universities in Kenya. The specific objectives will be to examine how financial accountability and effective management contribute to financial sustainability of public universities in Kenya. The study adopted descriptive survey research design. The target population was 176 selected staff of public universities in Kenya of which all of them were used in the study. The study adopted both descriptive analysis and for inferential statistical analysis data was cleaned coded and correlation analyses done the findings were financial accountability was positively correlated and significant p< 0.0. For regression also financial accountability as well as resource allocation and effective management had a positive relationship with financial sustainability. R squared was 0.731 therefore financial accountability and resource allocation explained 73.1% of variance in financial sustainability. Moderation was established using hierarchical regression, when the interaction terms of the moderator were added the value of R squared changed from 73.1% to 79.4% thus effective management and leadership had moderating effects on the relationship between financial sustainability and contribution of satellite campuses.Thus universities should mobilize resources from development partners and focus on recovering full economic costs and investing in its infrastructure including human, intellectual and physical adequately to maintain future productive capacity to deliver its strategic plan and serve its customers.
The study sought to determine challenges to food security among households of CBOs implementing agroforestry in Rongai Sub County in Nakuru and mitigation factors. The study was anchored on the systems theory and employed a mixed research methods design with simple random sampling used to get the CBOs from which the respondents were drawn. The target population was 630 members of all forty-seven (47) CBOs implementing agroforestry in the study area. The sample size was 245 respondents selected using the proportionate random sampling method. Questionnaires comprising of both open-ended and closed-ended questions were used to collect the data. From the study, the food produced by the households is insufficient and has to be supplemented by those outside the households. The food produced is of quality controlled by factors including farm management practices and capital availability for production. There is food inaccessibility as those produced are a source of income for the households yet insufficient. However, there is an improvement compared to previous years. The households’ food production is unstable as shown by variations in production and insufficiency of the food. Food security is challenged by the failure of all members of CBOs to take part in decision-making processes, reporting, roles, and responsibilities not being assigned appropriately. Mitigation factors are hardly employed by the CBOs to curb the challenges faced in implementing agroforestry. The study recommends building the capacity of CBOs implementing agroforestry in areas of resource mobilization, empowering them to harmonize governance processes, developing and implementing an M&E framework. It also recommends the development and implementation of sound policies that promote agroforestry expansion
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. .
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |