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: 59 / 59 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 00:22 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.
49 / 59 with data · 10 missing or unmatched. Percentages use all 59 selected publications.
49 / 59 with data · 10 missing or unmatched. Percentages use all 59 selected publications.
59 / 59 with data · 0 missing or unmatched. Percentages use all 59 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 |
|---|---|---|---|---|---|
| 2014 | All selected publications | 59 | 59 | 59/59 | 59/59 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 119 | 59 | 59/59 | 59/59 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 316 | 59 | 59/59 | 59/59 |
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 59 / 59 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): 2026-10-21T00:22:00.250005+00:00 — 2026-10-21T00:49:37.691917+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 | 24 | 59 | 59/59 |
| 2018 | All selected publications | 22 | 59 | 59/59 |
| 2019 | All selected publications | 24 | 59 | 59/59 |
| 2020 | All selected publications | 30 | 59 | 59/59 |
| 2021 | All selected publications | 41 | 59 | 59/59 |
| 2022 | All selected publications | 26 | 59 | 59/59 |
| 2023 | All selected publications | 34 | 59 | 59/59 |
| 2024 | All selected publications | 25 | 59 | 59/59 |
| 2025 | All selected publications | 22 | 59 | 59/59 |
| 2026 | All selected publications | 7 | 59 | 59/59 |
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 |
|---|---|
| 2014 | 59 |
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 Finance & Banking Studies SSBFNET | 26 | 53 | 109 | 26/26 | 2.04 | 1.0 | 69.2 | 26/26 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 33 | 66 | 207 | 33/33 | 2.0 | 1 | 63.6 | 33/33 · 100.0% |
* Percentage among publications with a known citation count.
Organizational culture is defined as set of goals and values shared by employees in the organization. Recently it has also come to be perceived as a resource of knowledge in the organization. In the literature, along with the studies aiming at identifying the elements of organizational culture, there are some research that study the relationship between organizational culture and performance. This article is a theoretical study of the two concepts and suggests a research model for further research. Recently, knowledge management and innovation strategy have started to be regarded as features of organizational culture. Research shows that these two variables also have significant impacts on organizational performance. Our model suggests measuring the effect of organizational culture on performance along with the supportive impacts of knowledge management and innovation strategy.
The aim of our research is to investigate the relationship between risk management, corporate governance and performance in lending institutions. Mainly, this research seeks to examine the effect of risk management and some board’s features on financial performance. Empirical analyses are conducted from a sample of 17 Tunisian lending institutions over the period 2002-2011 using an OLS regression. The study shows that board size affect performance significantly. Most importantly, the existence of a risk committee within the institution has a negative and significant effect on performance.
For any organization to compete favourably in the competitive society, employees’ attitudes and commitment towards work goes a long way in determining the employees’ performance and organization productivity. The main objective of this study is to examine the effect of incentives packages on employees’ attitudes towards work. A descriptive research method was adopted for this study using one hundred twenty valid questionnaires which were completed by members of staff of four (4) selected government parastartals in Ogun State, South-West Nigeria using stratified and systematic sampling technique. The data collected were carefully analyzed using percentage supported by standard deviation to represent the raw data in a meaningful manner. The results show that strong relationship exists between incentives packages and employees’ attitudes towards work and the workers are not satisfied with the present incentives packages. The summary of the findings indicates that there is strong correlation between the tested dependent variable and independent construct. However, employers of labour and decision makers should endeavour to review incentives packages at various levels in order to earn employees’ commitment and satisfaction.
The market for environmentally friendly products in Turkey is growing, and marketing experts are trying to understand the behavior of the consumers in this market with the help of variables such as demographic factors, information, attitudes, values and life styles. This study analyzes the effects of environmental activism, environmental knowledge and the perceived seriousness of environmental problems on green buying behavior. The study involved 516 Turkish consumers, over eighteen years of age. The results show that environmental activism, environmental knowledge and the perceived seriousness of environmental problems are all meaningful factors in environmentally friendly buying behavior. It was found that the most explanatory variables are environmental activism for proactive environmentally friendly buying behavior and the perceived seriousness of environmental problems for optional environmentally friendly buying behavior. The study is significant since it will offer insights for green marketing experts who especially target specific segments as activists, voluntary simplifiers or green consumers in Turkey.
The link between stock market development and economic activity has always been the subject of considerable debate in the field of economics and it raises empirical question whether stock market development influences economic activity or whether it is a consequence of increased economic activity. This study attempts to investigate the direction of causality between stock market development and economic growth in the Indian context. Using the cointegration and causality tests for the period June 1991 to June 2013, the study confirms a well defined long-run equilibrium relationship between the stock market development indicators and economic growth in India. The empirical results show bidirectional causality between market capitalisation and economic growth and unidirectional causality from turnover ratio to economic growth in the long-run and short-run. By and large, it can be inferred that the stock market development indicators viz. market capitalisation and turnover ratio have a positive influence on economic growth in India.
In recent years, the use of mobile devices in the marketing world is increasing parallel with technological advances. The main problem of this research is to determine agencies’ use of what type of mobile tools for what type of purposes in the marketing process. The aim of this research is to identify Mobile Marketing (MM) applications used by group A travel agencies, and to describe the attitudes towards MM applications of agencies. According to related law, it is only group A agencies give all agency services. Therefore, it is thought that MM is more widely used by those agencies. Thus, this research was made only on the group A agencies. The population of study was consisted of 675 groups A agencies’ representatives deployed in the European and Asian sides of Istanbul. A questionnaire was used as data collection tool. Questionnaire form consisted of two parts. In the first part, questions concerning MM and in the second part, questions regarding demographic issues to managers and travel agents took place. The results were given as descriptive statistics (frequencies, percentages, mean and standard deviation) on the tables. T-test and One Way ANOVA analysis were performed for the differences of mean among groups. In the study it was concluded that agencies use mobile phones mostly and mobile computers for increasing sales firstly and direct marketing. Thus, the main hypothesis established was confirmed partly.
Organizational culture is defined as set of goals and values shared by employees in the organization. Recently it has also come to be perceived as a resource of knowledge in the organization. In the literature, along with the studies aiming at identifying the elements of organizational culture, there are some research that study the relationship between organizational culture and performance. This article is a theoretical study of the two concepts and suggests a research model for further research. Recently, knowledge management and innovation strategy have started to be regarded as features of organizational culture. Research shows that these two variables also have significant impacts on organizational performance. Our model suggests measuring the effect of organizational culture on performance along with the supportive impacts of knowledge management and innovation strategy.

 
 
 Today, companies are planning their own activities depending on efficiency and effectiveness. In order to have plans for the future activities they need historical data coming from outside and inside of the companies. However, this data is in huge amounts to understand easily. Since, this huge amount of data creates complexity in business for many industries like hospitality industry, reliable, accurate and fast access to this data is to be one of the greatest problems. Besides, management of this data is another big problem. In order to analyze this huge amount of data, Data Mining (DM) tools, can be used effectively. In this study, after giving brief definition about fundamentals of data mining, Chi Squared Automatic Interaction Detection (CHAID) algorithm, one of the mostly used DM tool, will be introduced. By CHAID algorithm, the most used materials in room cleaning process and the relations of these materials based on in a five star hotel data are tried to be determined. At the end of the analysis, it is seen that while some variables have strong relation with the number of rooms cleaned in the hotel, the others have no or weak relation.
 
 
In the world economy and development, understanding changes are occurring, with the EU integration process of developments and understanding of planning priorities when considered as together, "city" scale development approach and an appropriate planning system, that is the basis of Turkey`s administrative division and the national management system, should be improved self-rises. To reduce disparities among regions to an acceptable level and development of relatively underdeveloped regions and cities, naturally, a development and planning system even starting from the city and province levels, is required. In today's sustainable understanding and evolution tools, burden important functions to local units, as "participation" in the foreground stands out in the stages of planning and execution of the development strategies. Regional and city development plans and strategies as the center of rapid and balanced development dynamics are sensitive to local needs and local initiatives are required in being a trigger level. The study is done with Goal Directed Project Management methodology, and in the study city level taken as an example of city scale development approach and an appropriate planning system.
Local press is defined as a press that serves to introduce and train the public and to provide the public opinion. Local press gives information about the cases happen around the region that it is published and it forms public opinion about the problems of that region. New communication technologies havehave an important role in the forming and enhancing the news contents in the media. Changeovers have occurred in the production, process and distributiondistribution of the news by developing the new media. On the other hand, Internet journalism used by many press institutions is occurredoccurred as a new concept in mass communication. National and local newspapers do not remain insensitive to this new mass communication and it attempts the Internet journalism. Firstly, pressed newspaper had been turned into Web sites as similar but later new application about the transferring the news to the reader have occurred when we look at this application about the transferring of the pressed newspaper to the Internet environment. In this study, the Internet websites if Adanaher from Adana, Olay from Bursa and Ege'nin Sesi from Izmir have been compared with each other. The form, content and interaction of these three newspapers have been discussed and the usage of social media and importance given to the local news have been analyzed.
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 |