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 01:16 UTC — 22 Oct 2026 05:02 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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 16 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 24 | 6 | 6/6 | 6/6 |
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): 2026-10-22T01:16:53.988898+00:00 — 2026-10-22T05:02:18.289192+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 | 0 | 6 | 6/6 |
| 2020 | All selected publications | 0 | 6 | 6/6 |
| 2021 | All selected publications | 1 | 6 | 6/6 |
| 2022 | All selected publications | 5 | 6 | 6/6 |
| 2023 | All selected publications | 5 | 6 | 6/6 |
| 2024 | All selected publications | 7 | 6 | 6/6 |
| 2025 | All selected publications | 5 | 6 | 6/6 |
| 2026 | All selected publications | 1 | 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 |
|---|---|
| 2021 | 6 |
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 | 16 | 24 | 6/6 | 2.67 | 1.5 | 83.3 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
Core values are critical to an organization’s identity, mission, strategy, and success. Harmonizing personal values and the core values espoused by the organization addresses congruence gaps and ensures that the actions of employees are consistent and aligned with organizational strategies. This study aims to identify the HR management practices of a University in Manila, Philippines that promote the congruence between the personal values of employees and the core values of the organization. The qualitative research methodology was utilized to identify practices in the areas of Recruitment and Selection, Performance Management System, and Training and Development that promote congruence of values. Semi-structured interviews of key University officials were conducted using open-ended questions. A review of relevant and pertinent documents was also undertaken. The three identified HR functional areas are highlighted because these are critical in the selection, motivation, and retention of high-quality employees. Leveraging HR management practices to promote congruence entails that the values of the organization are well-defined. Employees must understand how these are translated into workplace behaviors and actions. It must be clearly laid down how these relate to their performance and the impact these have on the achievement of the overall goals of the organization.
This study aimed at identifying talent retention strategies for female academics in the higher education sector, paying particular attention to the Sub-Saharan context. Higher education institutions rely on the knowledge, abilities, and skills of their academics in order to keep abreast of the changing nature of higher education globally. These institutions of higher learning are required to be competitive and achieve their strategic goals in order to remain relevant in the sector. Studies have shown that female academics are leaving the higher education sector for the private sector for numerous reasons, including better salaries and further development. Additionally, some female academics are emigrating to European countries in search of greener pastures. Therefore, higher education institutions have to ensure that talent retention strategies are implemented to retain female academics, as well as to facilitate their progress to top leadership positions. The study utilized four crucial retention strategies identified in Kenya by Mutiria, Rukangu and Kubaison in 2015. These retention strategies include compensation and benefits, formal succession planning, training and development and career development opportunities. A quantitative research design was adopted for this study, whereby online questionnaires were completed by 112 female academics at a Sub-Saharan university. The data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 27 for Windows. The results revealed a significant relationship between the four identified strategies and retention. Thus, institutions of higher learning should effectively implement these strategies in order to retain talented female academics, considering the dynamics in the sector.
The aim of this study was to identify the impact of HR activities on competitive advantage in private schools. The study uses primary data collected with the help of a well-structured questionnaire that was developed and distributed among a sample of 92 respondents (49 female and 43 male), questionnaire results were statistically analyzed to test the hypotheses that were developed to identify the impact of HR activities on competitive advantages. Multiple regression analysis was used as a statistical tool and technique to identify five key elements: recruitment and reward system, training and skill development activities, organization climate, employee participation and empowerment; and effective communication system to determine competitive advantage in private schools in Jordan. The results indicated that there is a statistically significant effect of HR activities on the competitive advantage; On the other hand, there is no impact of other variables.
This research is based on the premise that entrepreneurs require and aspire to hire the best human talent existing in the territories and with it, experience a certain satisfaction with the contracts made. That is why the objective of this paper is aimed at identifying, through multivariate statistics, those variables that from the theoretical and practical order affect the management of human resources at the territorial level and its modeling through an analysis of structural equations, which allows interpreting its impact on the satisfaction of entrepreneurs. The main results evinced demonstrate in accordance with the autochthonous characteristics of the analyzed object of study, that the process is of a multifactorial nature, with a decisive influence on the Processes dimension, being also important those related to the Strategic and Environment dimensions. It can be said that entrepreneur satisfaction is a direct expression of the level of management granted to the process dimension (DProcesses). The present study addresses the nature of the relationships between the variables considered in the context of a particular territory. The results have indicated that there are relationships between the variables that ensure the management of human resources at the territorial level and the satisfaction of entrepreneurs.
The study examines the effect human resource planning has on the performance of public sector organizations in Nigeria. The study adopted a cross-sectional survey research design with the collection of primary data using a questionnaire that was administered to 100 employees in the human resource department of the Ministry of Works and housing in Abuja, Nigeria. Correlation analysis using Pearson correlation was employed to determine the relationship between the variables and regression analysis was used to analyze the hypotheses with the aid of the IBM statistical package for social sciences. The result findings revealed that the multiple correlation coefficient indicates a strong correlation between the variables (R= 0.779). and that projected demand for workforce and recruitment and selection account for 60.7% of the total variation in organization performance. Of the two variables used, the recruitment and selection process account for the highest contribution to organization performance. Effective human resource planning in terms of projected demand for workforce and recruitment and selection will enable institutions to attract the right kind of people in the right numbers, improve employees' expertise, talents, and abilities, and keep them in the business. The study recommends that the recruitment and selection process should be open and transparent with little or no political interference to allow for the selection of applicants with the right expertise and skills into the workforce.
This study aimed at identifying talent retention strategies for female academics in the higher education sector, paying particular attention to the Sub-Saharan context. Higher education institutions rely on the knowledge, abilities, and skills of their academics in order to keep abreast of the changing nature of higher education globally. These institutions of higher learning are required to be competitive and achieve their strategic goals in order to remain relevant in the sector. Studies have shown that female academics are leaving the higher education sector for the private sector for numerous reasons, including better salaries and further development. Additionally, some female academics are emigrating to European countries in search of greener pastures. Therefore, higher education institutions have to ensure that talent retention strategies are implemented to retain female academics, as well as to facilitate their progress to top leadership positions. The study utilized four crucial retention strategies identified in Kenya by Mutiria, Rukangu and Kubaison in 2015. These retention strategies include compensation and benefits, formal succession planning, training and development and career development opportunities. A quantitative research design was adopted for this study, whereby online questionnaires were completed by 112 female academics at a Sub-Saharan university. The data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 27 for Windows. The results revealed a significant relationship between the four identified strategies and retention. Thus, institutions of higher learning should effectively implement these strategies in order to retain talented female academics, considering the dynamics in the sector.
This research is based on the premise that entrepreneurs require and aspire to hire the best human talent existing in the territories and with it, experience a certain satisfaction with the contracts made. That is why the objective of this paper is aimed at identifying, through multivariate statistics, those variables that from the theoretical and practical order affect the management of human resources at the territorial level and its modeling through an analysis of structural equations, which allows interpreting its impact on the satisfaction of entrepreneurs. The main results evinced demonstrate in accordance with the autochthonous characteristics of the analyzed object of study, that the process is of a multifactorial nature, with a decisive influence on the Processes dimension, being also important those related to the Strategic and Environment dimensions. It can be said that entrepreneur satisfaction is a direct expression of the level of management granted to the process dimension (DProcesses). The present study addresses the nature of the relationships between the variables considered in the context of a particular territory. The results have indicated that there are relationships between the variables that ensure the management of human resources at the territorial level and the satisfaction of entrepreneurs.
The study examines the effect human resource planning has on the performance of public sector organizations in Nigeria. The study adopted a cross-sectional survey research design with the collection of primary data using a questionnaire that was administered to 100 employees in the human resource department of the Ministry of Works and housing in Abuja, Nigeria. Correlation analysis using Pearson correlation was employed to determine the relationship between the variables and regression analysis was used to analyze the hypotheses with the aid of the IBM statistical package for social sciences. The result findings revealed that the multiple correlation coefficient indicates a strong correlation between the variables (R= 0.779). and that projected demand for workforce and recruitment and selection account for 60.7% of the total variation in organization performance. Of the two variables used, the recruitment and selection process account for the highest contribution to organization performance. Effective human resource planning in terms of projected demand for workforce and recruitment and selection will enable institutions to attract the right kind of people in the right numbers, improve employees' expertise, talents, and abilities, and keep them in the business. The study recommends that the recruitment and selection process should be open and transparent with little or no political interference to allow for the selection of applicants with the right expertise and skills into the workforce.
The aim of this study was to identify the impact of HR activities on competitive advantage in private schools. The study uses primary data collected with the help of a well-structured questionnaire that was developed and distributed among a sample of 92 respondents (49 female and 43 male), questionnaire results were statistically analyzed to test the hypotheses that were developed to identify the impact of HR activities on competitive advantages. Multiple regression analysis was used as a statistical tool and technique to identify five key elements: recruitment and reward system, training and skill development activities, organization climate, employee participation and empowerment; and effective communication system to determine competitive advantage in private schools in Jordan. The results indicated that there is a statistically significant effect of HR activities on the competitive advantage; On the other hand, there is no impact of other variables.
Managing career development across various industries constantly changes to address varying employees’ needs and it became more difficult with the career disruptions caused by the demands to deal with the environmental conditions, globalization, and output expectations. To keep up with these challenges, this study aims to propose a strategic career development model that will address the need to come up with a framework that will guide human resource management practitioners in identifying appropriate activities that will cater to the interest of employees.
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 |