Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 6 / 6 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 22 Oct 2026 01:03 UTC — 23 Oct 2026 13:42 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 7 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 9 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 16 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 6 | 1 | 1/1 | 1/1 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 6 / 6 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-22T01:03:24.793382+00:00 — 2026-10-23T13:42:03.258397+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 6 | 6/6 |
| 2018 | All selected publications | 0 | 6 | 6/6 |
| 2019 | All selected publications | 3 | 6 | 6/6 |
| 2020 | All selected publications | 0 | 6 | 6/6 |
| 2021 | All selected publications | 6 | 6 | 6/6 |
| 2022 | All selected publications | 5 | 6 | 6/6 |
| 2023 | All selected publications | 7 | 6 | 6/6 |
| 2024 | All selected publications | 9 | 6 | 6/6 |
| 2025 | All selected publications | 2 | 6 | 6/6 |
| 2026 | All selected publications | 2 | 6 | 6/6 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2018 | 1 |
| 2019 | 3 |
| 2020 | 1 |
| 2021 | 1 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Research in Business and Social Science SSBFNET | 6 | 15 | 34 | 6/6 | 2.5 | 2.5 | 83.3 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
The Insurance industry is essential to the economic course of every nation attaining sustainable growth and prosperity. However, the industry continues to experience a marginal growth of 2.5% compared to the global real term growth of 4%. This study analyzed the relationship between employee empathy and customer satisfaction in the Kenyan insurance industry. The study was guided by the causal research design. The study applied the linear mixed-effect models of structural equation modeling (SEM) considering the multi-level structure of the data collected. The study concluded that a client who perceives empathy from his/ her insurer’s employees is bound to have higher satisfaction than a customer who does not perceive empathy from their insurer. Employee empathy however, does not significantly affect the variations of customer satisfaction between the insurance companies.
This study evaluated the influence of service tangibility on repeat visits in two-five star rated Hotels in Nairobi County. The significance of service quality cannot be overemphasized it is generally accepted that the interplay of service quality, customer satisfaction, and repeat visitation represents an attractive, cost-effective approach to gain a competitive advantage for most companies though the hotel industry is a very important sector in Kenya as it has many contributions to the economy. The tourism industry in Kenya is currently facing slow progress and the hotels are losing a lot of revenue due to poor services. The main objective of the study was to determine the influence of service tangibility on repeat visits in two-five star-rated hotels in Nairobi County. The specific objectives were to examine Quality and Cleanliness, the influence of Good Menu, and the impact of Comfortable Beds on repeat visits in two-five star-rated hotels in Nairobi. Mixed methods research design was applied based on a cross-sectional survey. The target population comprised of customers in 2-5 star rated hotels in Nairobi County. A questionnaire was used to collect primary data and the researcher conducted a pre-test of the research instruments to establish their validity. The study showed that there is a positive effect of quality attributes on customer satisfaction and customers’ repeat visits to hotels. The study concluded that majorly, the individual service quality attributes and the level of customer satisfaction influence repeat visits in star-rated hotels in Nairobi County
In today’s competitive retail market, as service quality improves, the customer’s expectation and lateral demand on service level is increased from time to time. Dairy milk processing firms in Kenya are struggling to get it right in providing service quality. This has created dissatisfied consumers and this has led to merging of some dairy milk processing firms and loss of jobs due to closure of some dairy milk processing firms. Therefore, this study aimed at filling this knowledge gap by examining the influence of perceived service quality on consumer satisfaction amongst dairy milk processors in Kenya. The study was guided by cross-sectional research design. The study population comprised of consumers who purchase processed dairy milk from major supermarket chains in Kenya. Primary data was collected from 384 respondents using a semi-structured questionnaire which was self-administered. Descriptive statistics and regression analysis were used to analyse data with the help of SPSS version 21. The results showed a positive and significant relationship between the perceived service quality and consumer satisfaction. Respondents indicated that, perceived service quality was consistent to their satisfaction. The findings showed that, consumers of dairy milk products had a high rating of service quality offered to them by dairy milk processors hence high satisfaction levels. The study therefore concluded that, perceived service quality is an important predictor of customer satisfaction. Milk processors must therefore strive to match and even exceed their customer’s product-service quality with what customers expect.
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 purpose of this study was to assess the influence of consumer complaints handling on consumer satisfaction in dairy milk processors in Kenya. The study population was 384 consumers from 15 major supermarkets chains in Kenya. Primary data was sought from consumers of processed dairy milk using a semi-structured self-administered questionnaire employing a mixed methods research design. Descriptive and regression analysis and regression analysis were conducted with the help of SPSS software. Majority of the respondents disagreed that their complaints were handled so well to their expectation. Respondents also disagreed that merchandisers were receptive to their complaints as consumers to their satisfaction. The results showed a weak positive relationship between complaints handling and consumer satisfaction. The beta value of the computed (composite index) scores of consumers’ complaints handling was 0.027 with a t-test value of 1.026 and significance level of 0.306. Dairy milk processors in Kenya had poor consumer complaints handling mechanisms. However this seemed to have no reduction in consumer satisfaction in the products in question. The study recommended that dairy milk processors in Kenya had poor consumer complaints handling mechanisms.
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.
This study evaluated the influence of service tangibility on repeat visits in two-five star rated Hotels in Nairobi County. The significance of service quality cannot be overemphasized it is generally accepted that the interplay of service quality, customer satisfaction, and repeat visitation represents an attractive, cost-effective approach to gain a competitive advantage for most companies though the hotel industry is a very important sector in Kenya as it has many contributions to the economy. The tourism industry in Kenya is currently facing slow progress and the hotels are losing a lot of revenue due to poor services. The main objective of the study was to determine the influence of service tangibility on repeat visits in two-five star-rated hotels in Nairobi County. The specific objectives were to examine Quality and Cleanliness, the influence of Good Menu, and the impact of Comfortable Beds on repeat visits in two-five star-rated hotels in Nairobi. Mixed methods research design was applied based on a cross-sectional survey. The target population comprised of customers in 2-5 star rated hotels in Nairobi County. A questionnaire was used to collect primary data and the researcher conducted a pre-test of the research instruments to establish their validity. The study showed that there is a positive effect of quality attributes on customer satisfaction and customers’ repeat visits to hotels. The study concluded that majorly, the individual service quality attributes and the level of customer satisfaction influence repeat visits in star-rated hotels in Nairobi County
This study sought to establish the influence of understanding, stakeholder requirements, good rapport with stakeholders, healthy competition with competitors, conflict resolution, and effective communication on organizational performance among insurance companies in Kenya. Positivism research philosophy was adopted for the study. Descriptive and explanatory cross-sectional research designs were used. Data analysis was conducted using descriptive statistics and inferential analysis. The study concluded as follows: (i) Understanding stakeholder requirements, creating and maintain good rapport with stakeholders, healthy competition with competitors, conflict resolution and effective communication were deployed to a moderate extent in insurance companies in Kenya, (ii) There was a strong positive correlation between organisation performance, understanding stakeholder requirements, good rapport with stakeholders, conflict resolution, and effective communication, (iii) There was a weak positive correlation between organisation performance and healthy competition, (iv) Understanding stakeholder requirements, creating and maintain good rapport with stakeholders, healthy competition with competitors, conflict resolution and effective communication had significant influence on the performance of insurance companies in Kenya. (v) Relationship management has a significant influence on organizational performance.
The Insurance industry is essential to the economic course of every nation attaining sustainable growth and prosperity. However, the industry continues to experience a marginal growth of 2.5% compared to the global real term growth of 4%. This study analyzed the relationship between employee empathy and customer satisfaction in the Kenyan insurance industry. The study was guided by the causal research design. The study applied the linear mixed-effect models of structural equation modeling (SEM) considering the multi-level structure of the data collected. The study concluded that a client who perceives empathy from his/ her insurer’s employees is bound to have higher satisfaction than a customer who does not perceive empathy from their insurer. Employee empathy however, does not significantly affect the variations of customer satisfaction between the insurance companies.
The purpose of this study was to assess the influence of consumer complaints handling on consumer satisfaction in dairy milk processors in Kenya. The study population was 384 consumers from 15 major supermarkets chains in Kenya. Primary data was sought from consumers of processed dairy milk using a semi-structured self-administered questionnaire employing a mixed methods research design. Descriptive and regression analysis and regression analysis were conducted with the help of SPSS software. Majority of the respondents disagreed that their complaints were handled so well to their expectation. Respondents also disagreed that merchandisers were receptive to their complaints as consumers to their satisfaction. The results showed a weak positive relationship between complaints handling and consumer satisfaction. The beta value of the computed (composite index) scores of consumers’ complaints handling was 0.027 with a t-test value of 1.026 and significance level of 0.306. Dairy milk processors in Kenya had poor consumer complaints handling mechanisms. However this seemed to have no reduction in consumer satisfaction in the products in question. The study recommended that dairy milk processors in Kenya had poor consumer complaints handling mechanisms.
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 |