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: 26 / 26 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 01:06 UTC — 01 Nov 2026 13:43 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.
26 / 26 with data · 0 missing or unmatched. Percentages use all 26 selected publications.
26 / 26 with data · 0 missing or unmatched. Percentages use all 26 selected publications.
26 / 26 with data · 0 missing or unmatched. Percentages use all 26 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 |
|---|---|---|---|---|---|
| 2016 | All selected publications | 26 | 26 | 26/26 | 26/26 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 95 | 26 | 26/26 | 26/26 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 214 | 26 | 26/26 | 26/26 |
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 26 / 26 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): 2026-10-22T01:06:09.281540+00:00 — 2026-11-01T13:43:43.495907+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 | 6 | 26 | 26/26 |
| 2018 | All selected publications | 11 | 26 | 26/26 |
| 2019 | All selected publications | 28 | 26 | 26/26 |
| 2020 | All selected publications | 19 | 26 | 26/26 |
| 2021 | All selected publications | 43 | 26 | 26/26 |
| 2022 | All selected publications | 17 | 26 | 26/26 |
| 2023 | All selected publications | 25 | 26 | 26/26 |
| 2024 | All selected publications | 29 | 26 | 26/26 |
| 2025 | All selected publications | 19 | 26 | 26/26 |
| 2026 | All selected publications | 12 | 26 | 26/26 |
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 |
|---|---|
| 2016 | 26 |
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 | 26 | 95 | 214 | 26/26 | 3.65 | 2.0 | 73.1 | 26/26 · 100.0% |
* Percentage among publications with a known citation count.
Social media and social media tools have improved rapidly and started to influence society especially in recent years. This influence has forced businesses to revolutionize their communication with the external environment. The fact that Web 2.0 has an influence on consumer behavior, and that it makes the consumers stronger; requires faster, more flexible and more sensitive communication processes in businesses. Especially during a time of crisis, a business’ communication with the external environment is quite critical. For this reason, the way how the crisis communication is managed through social media is vital for businesses. In this article, the perceptions of how to manage businesses during a time of crisis so that they make minimum loss, is shared.
The aim of this research is to understand the factors behind smartphone purchase decisions of consumers. Nowadays companies make use of various strategies in order to attract new customers, retain existing customers and differentiate their products from those of their competitors. Perhaps, the most important and effective strategy to influence consumer behavior in the product selection is emphasizing the “brand name” of the products. Our aim in this paper is to investigate how smartphone brands can influence consumers’ buying decisions. Brand equity is a set of brand assets and liabilities linked to a brand name and symbol, which add to or subtract from the value provided by a product or service. It enhances the customer’s ability to interpret and process information, improves confidence in the purchase decision and affects the quality of the user experience. Using this construct widely discussed in the literature, we use and build our hypothesis based on Aaker model about the brand equity, including perceived quality, brand awareness, brand association and brand loyalty. The study involved a questionnaire administered to 171 smartphone consumers between December 2015 and March 2016. The consumers were chosen by convenience sampling among the students from a prestigious university in the Istanbul district of Turkey. Our findings indicate that a majority of the smartphone buyers’ decisions are mainly influenced by brand loyalty and brand awareness. Perceived quality and brand association do not seem to influence purchase decisions for the sample of this study.
In this study, we aimed to explain the influencing factors of interest rate risk in Turkish banking sector. Within this scope, 20 deposit banks in Turkey were evaluated. Furthermore, annual data for the periods between 2006 and 2015 was analyzed by using panel logit method. According to the results of this analysis, it was identified that 2 explanatory variables affect interest rate risk of Turkish banks. First of all, it was determined that banks, which have higher amount of deposits, are exposed to higher amount of interest rate risk. In addition to this situation, it was also defined that there is a negative relationship between the amount of capital and interest rate risk. As a result of this issue, it was recommended that Turkish banks should increase capital amount in order to manage interest rate risk more effectively.
Both in Turkey and in the world in 1980 was a year of major structural transformations. Globalization has been accelerated in this time and countries have implemented some liberal policies for opening borders to foreign capital. Economies began to be led by export-oriented industrialization and liberalization policies after 1980 and these policies continue since then. Turkey is one of these countries that began liberalization after 1980. While decreasing trade barriers exerts a downward pressure on prices trade liberalization represents a structural break. This study aims to examine the relationship between trade openness and inflation over the period 1980-2011 for Turkey by using OLS method. The proportion of foreign trade volume (exports plus imports) to GDP and real exchange rates are used as measures of trade openness besides inflation rate. As a result of the study, it has been determined that there was a negative correlation between trade openness and inflation rate for the dedicated years in Turkey. The effects of crisis and election years in Turkey have been also tested and found statistically insignificant.
This paper analyzes the total factor productivity developments in the Middle East banking, by drawing on the experience of Jordanian banks at the start of the new millennium. In order to control for the effects of different specifications of banking technology on the results, this study estimates the productivity and efficiency growth scores under two alternative approaches, production and intermediation models. On average, under the former model, we found 79% technical efficiency and 3.2% productivity growth, while under the later model we found 92% technical efficiency and 3.3% productivity growth for the sector. One implication is that the Jordanian banks can obtain considerable resource savings if they can catch up with the best practice banks. Among the organizational forms operating in this emerging market, we found that commercial banks generally outperform both investment and Islamic banks in terms of efficiency and total factor productivity growth.
As being a psychosocial creature, the human composing the organization has series of behavioral talents like feeling, idea, desire, ambition, hope and fear. Humans, besides their technical abilities, bring their hopes and concerns, their life philosophy, all exclusive behaviors with them to organizations where they belive they realize their porsonel hopes and desires and establish cooperation. As aresult, established organization has social, human structural property including different personal ideas and behaviors. It was understood that, humans in the organization do not always behave according to rules, which were set by management, and the economical human logic. Human behave in accordance with their emotions and feeling. Because organizations can not satisfy all needs of humans by assigning formal tasks and physical facilities. As a result of these complex reasons generally the members of the organizations, which are established to perform certain official tasks, establish unofficial organizations by developing relations among themselves in order to satisfy their personal needs and feelings. In this study, accepting the value and importance of the official organization, it is desired to tell that unofficial organization is real and important at least the official organization. Becouse at the same time organizations are feelings system, it is beneficial to determine the role of the human in the organization and to regulate the organizationto this fact.
In this study, we aimed to explain the influencing factors of interest rate risk in Turkish banking sector. Within this scope, 20 deposit banks in Turkey were evaluated. Furthermore, annual data for the periods between 2006 and 2015 was analyzed by using panel logit method. According to the results of this analysis, it was identified that 2 explanatory variables affect interest rate risk of Turkish banks. First of all, it was determined that banks, which have higher amount of deposits, are exposed to higher amount of interest rate risk. In addition to this situation, it was also defined that there is a negative relationship between the amount of capital and interest rate risk. As a result of this issue, it was recommended that Turkish banks should increase capital amount in order to manage interest rate risk more effectively.
This research aims to analyze the effect of brand trust and brand loyalty to consumer purchase intentions in the Smartphone market. All the residents of ?stanbul who use mobile phones are the population of the research. Due to the fact that it is very hard to reach all the population, simple sampling method has been used for data collection and 185 participants have been reached. Structural Equation Model has been used to explain the relationship among brand trust, brand loyalty and purchase intentions. SPSS for Windows 17.0 program and AMOS 20 program are used to analyze the data. Results show that both brand trust and brand loyalty have a positive effect on consumer’s purchase intentions. Also it had been determined that brand trust has a positive effect on brand loyalty. Moreover, brand trust has been found as the most effective factor for smartphones brands in the purchase intensions.
The aim of this study is to reveal causes and grounds which drive family businesses into internationalization process and divulge implemented strategies benefiting from the literature through a case study. In this context, “Saruhan Cooperation” which is a globally operating Turkish family business has been examined as a case study by means of primary and secondary resources. In the case study, besides presenting the current situation of Saruhan Coop., the reasons triggered internationalization process, works done for this purpose, goals of the firm, and implemented strategies in this milieu and circumstances have been tried to be defined by using a series of structured face-to-face interviews. Moreover, our findings display a process that a locally operating family business ends up in a situation to buy a firm which operates internationally under a global brand. Although it is conducted with one business; the study is important as being a pioneer analysis and contributes to the literature well; also, it is valuable because it provides a model for those who are planning to operate internationally. The research opens a door to further researches as well.
The precondition of the increase in the efficiency of the banks depends on their ability to compete. Through the banking sector with high competitive power, economic dynamism is promoted, and economic stability is ensured. The alteration in macroeconomic conditions affects the performance of the banking sector and financial stability. This study was used the malmquist productivity index to analyze the efficiency of 19 commercial banks operating in Turkey during the period of 1990 - 2012 for intermediation and profit approach. Banks have experienced productivity loss according to both approaches in times of crisis. The efficiency of intermediation function in the banking sector have increased owing to the regulations made ??under the restructuring program of the Turkish banking sector and the disinflation process. The regression analysis results reveals that the impact of credit / deposit ratio, ROA, ROE and inflation rate is positive on bank’s total factor productivity. As ROE increases, banks' total factor productivity has decreased under the intermediation approach. Increase in GDP has led to increase in bank’s technical efficiency for intermediation and profit approach.
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 |