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: 21 Oct 2026 00:14 UTC — 21 Oct 2026 07:22 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 |
|---|---|---|---|---|---|
| 2013 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 6 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 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): 2026-10-21T00:14:26.929884+00:00 — 2026-10-21T07:22:54.174025+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 | 1 | 6 | 6/6 |
| 2021 | All selected publications | 1 | 6 | 6/6 |
| 2022 | All selected publications | 1 | 6 | 6/6 |
| 2023 | All selected publications | 2 | 6 | 6/6 |
| 2024 | All selected publications | 6 | 6 | 6/6 |
| 2025 | All selected publications | 1 | 6 | 6/6 |
| 2026 | All selected publications | 3 | 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 |
|---|---|
| 2013 | 1 |
| 2020 | 2 |
| 2021 | 1 |
| 2022 | 1 |
| 2024 | 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 Business Ecosystem & Strategy Bussecon International Academy | 1 | 4 | 4 | 1/1 | 4.0 | 4 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 5 | 7 | 11 | 5/5 | 1.4 | 1 | 60.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
The study assessed the impact of organizational culture on the performance of Small and Medium Enterprises (SMEs) in Abuja. The questionnaire used was created based on Cameron and Quinn’s Organizational Culture Assessment Instrument (OCAI) in identifying different types of organizational culture. Using a cross-sectional survey research design, the primary data was obtained through administered structured questionnaire to one hundred and twenty-seven (127) SMEs at different sampled locations in Nigeria. Pearson Product Moment Correlation analysis was used to identify the relationship that exists between the variables and the results revealed that organizational culture measured by clan culture, market culture, adhocracy culture and Hierarchy culture variables have significant relationship of r = 0.616, 0.514, 0.604 and 0.784 respectively with performance. The study concludes that organizational culture have significant influence on the performance of Small and Medium Enterprises (SMEs) in Abuja and that Hierarchy culture is found important in promoting innovative performance than the other type of culture. The study recommendation is thus that SME owners should ensure that all new employees receive a formal briefing on the company's traditions, beliefs, vision, and strategies. They should create and print a common set of procedures and policies to promote seamless discharge of duties and responsibilities in such a way that will foster innovative performance in the work place.
The present study aims to propose a model suitable for Turkish organizational culture using observations, a qualitative research method. The reason behind this is that observation is frequently used in ethnographic studies, i.e. studies analyzing culture. An ethnographic study revealed the foundation of the organizational culture of the observed ABC firm. These factors can be listed as fear, fear-driven paternalism, pressure, silence, intimidation, ennui, insensitivity, and apathy and gossiping. It is possible to say that an abusive level of productivity is aimed at the organization and an authoritarian understanding of management.
Microenterprises are crucial in sustaining the economy, especially in developing economies like Nigeria. Many of these microenterprises do not take cognizance of necessary determinants like organizational culture and its factors to ensure proper running of their day-to-day activities. The study aims to identify some demographic statistics of employers in technological microenterprises, investigate the factors influencing organizational culture and assess organizational culture's influence on business success among employers in selected technological microenterprises in southwest Nigeria. The study was carried out in three southwestern states in Nigeria with 213 business owners (employers) as respondents. Seventeen factors were explored, but eight were extracted to be considered in measuring the employers' organizational culture: climate, customer demand, technological changes, observed behaviour, norms, consistency, adaptability, and sense of mission. Linear regression analysis was also used to measure organizational culture's impact on technological microenterprises' business performance with SPSS as a statistical tool. The study confirms a positive and significant relationship between organizational culture and business performance at 5% significance. This study concludes that the eight variables extracted are important factors to consider when measuring the organizational culture of employers in technological microenterprises in southwest Nigeria for better business production.

 
 
 Today, the importance of innovation for enterprises, increase each passing day. As a result of globalization, enterprises are under intense competitive pressure. They have to make innovation for increasing to market share or for protecting to it at least. Non- innovative firms lose their customers and their existence is face to threat from other innovative actors in the market. Therefore firms have to design their organization structure that encourage to innovation. Mintzberg’s adhocratic organization structure was investigated in this article. Thus, its aim of this study leads to resemblance and diversity between theory and practice via of the theoretical knowledge. As a result of study; high degree of similarity between the application and Mintzberg’s theory, which is related to adhocratic organization structure, has been identified.
 
 
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.
Microenterprises are crucial in sustaining the economy, especially in developing economies like Nigeria. Many of these microenterprises do not take cognizance of necessary determinants like organizational culture and its factors to ensure proper running of their day-to-day activities. The study aims to identify some demographic statistics of employers in technological microenterprises, investigate the factors influencing organizational culture and assess organizational culture's influence on business success among employers in selected technological microenterprises in southwest Nigeria. The study was carried out in three southwestern states in Nigeria with 213 business owners (employers) as respondents. Seventeen factors were explored, but eight were extracted to be considered in measuring the employers' organizational culture: climate, customer demand, technological changes, observed behaviour, norms, consistency, adaptability, and sense of mission. Linear regression analysis was also used to measure organizational culture's impact on technological microenterprises' business performance with SPSS as a statistical tool. The study confirms a positive and significant relationship between organizational culture and business performance at 5% significance. This study concludes that the eight variables extracted are important factors to consider when measuring the organizational culture of employers in technological microenterprises in southwest Nigeria for better business production.
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.
The study assessed the impact of organizational culture on the performance of Small and Medium Enterprises (SMEs) in Abuja. The questionnaire used was created based on Cameron and Quinn’s Organizational Culture Assessment Instrument (OCAI) in identifying different types of organizational culture. Using a cross-sectional survey research design, the primary data was obtained through administered structured questionnaire to one hundred and twenty-seven (127) SMEs at different sampled locations in Nigeria. Pearson Product Moment Correlation analysis was used to identify the relationship that exists between the variables and the results revealed that organizational culture measured by clan culture, market culture, adhocracy culture and Hierarchy culture variables have significant relationship of r = 0.616, 0.514, 0.604 and 0.784 respectively with performance. The study concludes that organizational culture have significant influence on the performance of Small and Medium Enterprises (SMEs) in Abuja and that Hierarchy culture is found important in promoting innovative performance than the other type of culture. The study recommendation is thus that SME owners should ensure that all new employees receive a formal briefing on the company's traditions, beliefs, vision, and strategies. They should create and print a common set of procedures and policies to promote seamless discharge of duties and responsibilities in such a way that will foster innovative performance in the work place.
The present study aims to propose a model suitable for Turkish organizational culture using observations, a qualitative research method. The reason behind this is that observation is frequently used in ethnographic studies, i.e. studies analyzing culture. An ethnographic study revealed the foundation of the organizational culture of the observed ABC firm. These factors can be listed as fear, fear-driven paternalism, pressure, silence, intimidation, ennui, insensitivity, and apathy and gossiping. It is possible to say that an abusive level of productivity is aimed at the organization and an authoritarian understanding of management.
This survey aims to assess the effectiveness of Islamic organizational culture currently applied in a broadcasting company in Indonesia. This study will evaluate its strengths and weaknesses, as future developments and organizational changes references. To achieve this goal, data were collected from all 45 employees, using the Denison Organizational Culture Survey (DOCS). This survey measures cultural indexes incorporated into four organizational cultural traits that have been proven to sustain a strong influence on organizational effectiveness: involvement, consistency, adaptability and mission (Denison, 2014). The measurement results indicate that measured organizational culture has a greater focus on the internal aspects, like employee performance, than external aspects such as customer satisfaction and innovation. Furthermore, the Islamic organizational culture used, obtains quite optimal measurement results, at consistency and involvement trait which able to achieve scores at the third and fourth quartiles. However, organizations still need to optimize adaptability and mission traits, which scores only capable to achieve first and second quartiles. The lowest value obtained in the goals and objective index, also shows that organizations need to evaluate the clarity of short-term and long-term goals related to accomplishing the company's vision.
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 |