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 00:49 UTC — 21 Oct 2026 00:49 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 | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2017 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 21 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2017 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 41 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 10 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2017 | All selected publications | 1 | 2 | 2/2 | 2/2 |
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): 2026-10-21T00:49:27.826290+00:00 — 2026-10-21T00:49:29.402438+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 | 1 | 6 | 6/6 |
| 2018 | All selected publications | 4 | 6 | 6/6 |
| 2019 | All selected publications | 4 | 6 | 6/6 |
| 2020 | All selected publications | 8 | 6 | 6/6 |
| 2021 | All selected publications | 7 | 6 | 6/6 |
| 2022 | All selected publications | 4 | 6 | 6/6 |
| 2023 | All selected publications | 4 | 6 | 6/6 |
| 2024 | All selected publications | 7 | 6 | 6/6 |
| 2025 | All selected publications | 4 | 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 |
| 2014 | 1 |
| 2016 | 2 |
| 2017 | 2 |
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 | 27 | 58 | 6/6 | 4.5 | 1.5 | 66.7 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
The relationship between leader and followers plays a vital role, particularly in educational institutions where a keen understanding of human character and high level of social interaction ought to be facilitated. For this reason, in stark contrast to contemporary leaders who see people only as units of production or expendable resources in a profit and loss statement, servant leadership focuses on meeting the needs of followers, making them reach their maximum potential and so perform optimally in order to achieve organizational goals and objectives. This study examines the effects of servant leadership behaviors of private college principals on teachers’ organizational citizenship behavior and job performance. Using 300 respondents from the private education institutes in Turkey, servant leadership behavior is examined for its indirect effects on organizational citizenship behavior and job performance by its impact on organizational justice. Organizational justice acts as a mediator between the variables in question. All the results are in support of the studied mediation effects. Implications of the findings and suggestions for future research are discussed.
Turkey has experienced a series of crises in 1994, 1999 and 2001, which induced remarkable damage in Turkish economy. Thus crisis management has been the main topic in Turkish agenda so many years. Besides crisis management, organizational learning also has been focused as an affective crisis management mean. Crisis preparedness process which is a part of crisis management is vital for any organization’s existence because the emergence of crises is inevitable. Therefore the crisis preparedness has been a topic of increasing importance for organizations seeking an effective way to fight against potential crises. In this context, this research aim to investigate the relationship among the crisis preparedness capability, organizational learning capability and organizational performance. This survey is conducted on 400 managers of 114 firms operating in the Marmara region. SPSS 15.0 statistics package program was used to analyze the data obtained from 400 questionnaires. Factor analysis, and reliability analysis have been executed to reveal the reliability of scale, and correlation and regression analyses have been executed to reveal the relationship among the crisis preparedness capability, organizational learning capability, and organizational performance.
This study aims to investigate budget related antecedents of job performance of managers. For this purpose, the effect of budgetary participation, budget goal commitment and information sharing on job performance of managers were examined. The sample consists of 104 managers who are responsible from the budgets of their units in different private enterprises. Most of these enterprises are operating in automotive sector and located in Marmara Region of Turkey. Survey data was analyzed with confirmatory factor analyses and Structural Equation Modeling. Results indicate that budgetary participation has statistically significant and positive impact on job performance. It also positively affects budget goal commitment and information sharing. Budget goal commitment and information sharing have significant and positive impact on job performance. In addition, budget goal commitment positively affects information sharing of managers. Analyses also revealed that budget goal commitment and information sharing have partial mediation effect on the relationship between budgetary participation and job performance.
Social scientists have been intrigued by the relationship between generations based on different characteristics. Economists, has been especially interested in measuring intergenerational income elasticity, which looks at the relationship of parents and that of their children when they become adults and gives clue on trends of income inequality. Most of the literature concentrates on the experiences of developed countries and measurement issues. Nevertheless, new studies concerning intergenerational income elasticity is being undertaken in developing countries as the data become increasingly available for these countries. In this vein, there is only one previous study that investigates intergenerational income elasticity for Turkey. Mercan (2012) finds that intergenerational income elasticity is around 0.1 in Turkey, which depicts Turkey as a highly mobile country meaning that children of poor parents have a higher likelihood to have a better income status. However, his study does not depend on a longitudinal dataset, which might make Mercan’s (2012) estimate biased. Following Solon (1992) in using OLS for lower bound and instrumental variable (IV) for upper bound, this study puts forth a new estimate, which relies on a nationally representative and longitudinal dataset for Turkey. The study's estimate for intergenerational income elasticity varies between 0.3 and 0.6, which is much higher than the result of Mercan (2012), indicating that Turkey is a less mobile country than previously foreseen.
This study has been conducted to detect the strengths and the improvement requiring areas of sea transportation in Turkey via SWOT analysis, and the opportunities this sector brings to Turkey and the threats that might appear have been put forward in several aspects. When the necessary advances have been made considering the outcomes of this study, it can be foreseen that Turkish navigation can make a swift progress and assume its place in the top 5 mercantile fleets of the World Trade Fleet. Moreover, this new approach that can be developed through the example of Turkey, especially in the context of SWOT analysis methodology, can get to be seen as a role model before the other developing countries.Sea transportation is not merely a transportation sector. Along with goods and human transportation, ship building industry, port services, sea insurance and sea tourism are among the many naval activities. Because of all these, sea transportation has a significant place in international trade. The overall commercial value of world trade mounting up to 15 trillion US dollars, 9 trillion dollars of this has been conducted via sea transportation. In other words, 60 percent of world commerce has been done through sea transportation (GISBIR, 2013). Furthermore, the volume of the dry bulk market via sea transportation is expected to grow by 6 percent between the years 2014 and 2018 (GISBIR, 2013).
This study has been conducted to detect the strengths and the improvement requiring areas of sea transportation in Turkey via SWOT analysis, and the opportunities this sector brings to Turkey and the threats that might appear have been put forward in several aspects. When the necessary advances have been made considering the outcomes of this study, it can be foreseen that Turkish navigation can make a swift progress and assume its place in the top 5 mercantile fleets of the World Trade Fleet. Moreover, this new approach that can be developed through the example of Turkey, especially in the context of SWOT analysis methodology, can get to be seen as a role model before the other developing countries.Sea transportation is not merely a transportation sector. Along with goods and human transportation, ship building industry, port services, sea insurance and sea tourism are among the many naval activities. Because of all these, sea transportation has a significant place in international trade. The overall commercial value of world trade mounting up to 15 trillion US dollars, 9 trillion dollars of this has been conducted via sea transportation. In other words, 60 percent of world commerce has been done through sea transportation (GISBIR, 2013). Furthermore, the volume of the dry bulk market via sea transportation is expected to grow by 6 percent between the years 2014 and 2018 (GISBIR, 2013).
A new technology’s acceptance also gets shaped according to users’ features, expectations and perceptions. Technology Acceptance Model (TAM) that developed by Davis (1989), defends that there are perceived usefulness and perceived ease of use variables to determinants of a new technology’s usage by user. These perceptions predict the user’s behavior and explain it. The smart board that has common usage in modern classrooms provides effectiveness at education and learning activities. Teachers who use smart boards can present more effectively. This situation increases the teacher’s productivity and student’s learning success and improvement the class’s education quality. Existence of the smart board in the classroom motivates all by self. Thanks to this technological device, it is easy to access internet based study materials. This study’s purpose is testing the user features explanation power effects to usage of smart board, which is a new education tool, based on TAM variables. For performing of the research, surveys have actualized with 24 teachers at Bartin High School with smart boards. Survey data have been interpreted based on correlation, factor and regression analyses in WarpPLS 5.0. Results have been concluded from analyse strongly supports research model.
Social scientists have been intrigued by the relationship between generations based on different characteristics. Economists, has been especially interested in measuring intergenerational income elasticity, which looks at the relationship of parents and that of their children when they become adults and gives clue on trends of income inequality. Most of the literature concentrates on the experiences of developed countries and measurement issues. Nevertheless, new studies concerning intergenerational income elasticity is being undertaken in developing countries as the data become increasingly available for these countries. In this vein, there is only one previous study that investigates intergenerational income elasticity for Turkey. Mercan (2012) finds that intergenerational income elasticity is around 0.1 in Turkey, which depicts Turkey as a highly mobile country meaning that children of poor parents have a higher likelihood to have a better income status. However, his study does not depend on a longitudinal dataset, which might make Mercan’s (2012) estimate biased. Following Solon (1992) in using OLS for lower bound and instrumental variable (IV) for upper bound, this study puts forth a new estimate, which relies on a nationally representative and longitudinal dataset for Turkey. The study's estimate for intergenerational income elasticity varies between 0.3 and 0.6, which is much higher than the result of Mercan (2012), indicating that Turkey is a less mobile country than previously foreseen.
This study aims to investigate budget related antecedents of job performance of managers. For this purpose, the effect of budgetary participation, budget goal commitment and information sharing on job performance of managers were examined. The sample consists of 104 managers who are responsible from the budgets of their units in different private enterprises. Most of these enterprises are operating in automotive sector and located in Marmara Region of Turkey. Survey data was analyzed with confirmatory factor analyses and Structural Equation Modeling. Results indicate that budgetary participation has statistically significant and positive impact on job performance. It also positively affects budget goal commitment and information sharing. Budget goal commitment and information sharing have significant and positive impact on job performance. In addition, budget goal commitment positively affects information sharing of managers. Analyses also revealed that budget goal commitment and information sharing have partial mediation effect on the relationship between budgetary participation and job performance.
Turkey has experienced a series of crises in 1994, 1999 and 2001, which induced remarkable damage in Turkish economy. Thus crisis management has been the main topic in Turkish agenda so many years. Besides crisis management, organizational learning also has been focused as an affective crisis management mean. Crisis preparedness process which is a part of crisis management is vital for any organization’s existence because the emergence of crises is inevitable. Therefore the crisis preparedness has been a topic of increasing importance for organizations seeking an effective way to fight against potential crises. In this context, this research aim to investigate the relationship among the crisis preparedness capability, organizational learning capability and organizational performance. This survey is conducted on 400 managers of 114 firms operating in the Marmara region. SPSS 15.0 statistics package program was used to analyze the data obtained from 400 questionnaires. Factor analysis, and reliability analysis have been executed to reveal the reliability of scale, and correlation and regression analyses have been executed to reveal the relationship among the crisis preparedness capability, organizational learning capability, and organizational performance.
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 |