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: 14 / 14 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 01:00 UTC — 23 Oct 2026 13:24 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.
12 / 14 with data · 2 missing or unmatched. Percentages use all 14 selected publications.
12 / 14 with data · 2 missing or unmatched. Percentages use all 14 selected publications.
14 / 14 with data · 0 missing or unmatched. Percentages use all 14 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 | 14 | 14 | 14/14 | 14/14 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 52 | 14 | 14/14 | 14/14 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 143 | 14 | 14/14 | 14/14 |
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 14 / 14 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): 2026-10-22T01:00:17.406085+00:00 — 2026-10-23T13:24:21.862270+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 | 8 | 14 | 14/14 |
| 2018 | All selected publications | 12 | 14 | 14/14 |
| 2019 | All selected publications | 9 | 14 | 14/14 |
| 2020 | All selected publications | 14 | 14 | 14/14 |
| 2021 | All selected publications | 19 | 14 | 14/14 |
| 2022 | All selected publications | 11 | 14 | 14/14 |
| 2023 | All selected publications | 19 | 14 | 14/14 |
| 2024 | All selected publications | 7 | 14 | 14/14 |
| 2025 | All selected publications | 11 | 14 | 14/14 |
| 2026 | All selected publications | 3 | 14 | 14/14 |
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 | 14 |
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 | 5 | 22 | 41 | 5/5 | 4.4 | 4 | 100.0 | 5/5 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 9 | 30 | 102 | 9/9 | 3.33 | 3 | 88.9 | 9/9 · 100.0% |
* Percentage among publications with a known citation count.
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.
The technology acceptance model (TAM) has been widely used to study user acceptance of new computer technologies. Previous studies claimed that future technology acceptance research should explore other additional explanatory variables, which may affect the originally proposed constructs of the TAM. The use of information technology in the health care sector and especially in hospitals offers great potential for improving the performance of physicians, increasing the quality of services and also reducing the organizational expenses. However, the main challenge that arises according to the literature is whether healthcare professionals are willing to adopt and use clinical information technology while performing their tasks. Although adoption of various information technologies has been studied using the technology acceptance model (TAM), the study of technology acceptance for professional groups (such as physicians) has been limited. Physician adoption of clinical information technology is important for its successful implementation. Therefore, the purpose of this study is to gain a better insight about factors affecting physicians’ acceptance of clinical decision support systems (CDSS) in a hospital setting. The results reflect the importance of perceived threat to professional autonomy, perceived interactivity with clinical IT, perceived usefulness and perceived ease of use in determining physicians’ intention to use CDSS.
Banks had a large part in the developments taking place in the years after the outbreak of the crisis in 2007, as many banks had an excessively low capital base, involving too much risk in its businesses. In this study, the largest four banks in Sweden have been investigated. The financial crisis affected the banks differently, depending on the markets of expansion. Excessive risk-taking has been found, where one bank expanded aggressively into new markets and did not appreciate the risks on these new markets. CEO compensation and risk seeking boards are factors that might have caused such behaviour. All of the banks have made noticeable changes to their capital structure, increasing it annually, accompanied by a risk-reduction movement in their assets to improve the stability in most of the banks. The new regulation’s focus on both quality and quantity is in accordance with the views that are expressed in the framework. The banks have altered their goals to levels several per cent above the regulations, in contrast to before the crisis when they were often as close as possible. The impact of the new liquidity regulations has been limited, as the banks continue to work with their internal measures. The banks have all changed their view of capital ratio and liquidity, where many of the banks have doubled the amount of these posts and now find these measures to be both beneficial and a way to gain trust and stability.
The proactively evolved banking regulations in the Indian Banking sector under the authorative directive of the Reserve bank of India (RBI) has often brought about a change in the business strategy, capital structure and operations of the banks in the Indian banking sector. During these events of continuous change and adoption of Basel norms, we analyse the efficiency of the Indian banking sector with using Data Envelopment Analysis across three economic eras andacross the different ownership structures. The determinants of efficiency are selected on the basis of intermediation approach. We also attempt to identify whether the inefficiency arises from managerial incompetence or improper size and resource allocation. From our analysis, we identify the main cause of inefficiency in the Indian Banking sector to be arising out of improper size allocation.
Definition of store image is argued to be useful if it predicts phenomena such as satisfaction, loyalty, customer retention and other attitudinal and behavioral outcomes. Previous researches show that customers are affected by the store attributes and consider them to assess perceived benefits and attitudes. One of the biggest challenges for companies is to build a positive image. Knowing the alternatives which could be used to form a positive image is an important issue. A positive image which is created in the customer’s mind about store is seen to have a strong and positive influence on satisfaction. A satisfied customer is likely to be loyal to the store. Therefore, image and customer satisfaction gain importance in the stores which aim to survive. This study focuses on store image, customer satisfaction and the relationship between them. The study primarily explains these two concepts, and then provides a literature review on the researches related with them. The study presents researches in which store image and customer satisfaction are separately discussed, thus it also shows other variables which can be influential on these concepts. Implications for both store image theory and practices are discussed. The literature review reveals that store image plays an important role in customer satisfaction. Since most of the studies in literature are based on retail industry, in this study ‘store’ concept mostly refers to ‘retail store’.
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.
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.
The purpose of this paper is to investigate whether there is an optimal capital structure at which point firm is able to maximize its value. The author employ an advanced panel threshold regression estimation developed in 1999 by Hansen that will indicate whether there are positive and negative impacts of capital structure on firm value. The author has used data of among 90 unlisted Seafood Processing Enterprises in the South Central region of Vietnam (SEASCRs) during 2005–2011 period. The author has used book value of equity plus long- term debt (BVE) and return on equity (ROE) as surrogate for firm value and book value of total debt to total assets (TD/TA) as surrogate for capital structure and as the threshold variable. The empirical results strongly indicate that triple threshold effect exists between debt ratio and firm value when BVE is selected to proxy firm value. However, when ROE is selected to proxy firm value, the result shows that there exists double thresholds effect between debt ratio and firm value. From these results, the author may conclude that the relationship between capital structure and firm value has a nonlinear relationship represents an convex Parapol shape. In addition, the findings suggest implications for SEASCRs on flexible usage of financial leverage. Specifically, SEASCRs should not use loans over 57.39%. To ensure and enhance the firm value, the scope of the optimal debt ratio should be less than 57.39%.
The technology acceptance model (TAM) has been widely used to study user acceptance of new computer technologies. Previous studies claimed that future technology acceptance research should explore other additional explanatory variables, which may affect the originally proposed constructs of the TAM. The use of information technology in the health care sector and especially in hospitals offers great potential for improving the performance of physicians, increasing the quality of services and also reducing the organizational expenses. However, the main challenge that arises according to the literature is whether healthcare professionals are willing to adopt and use clinical information technology while performing their tasks. Although adoption of various information technologies has been studied using the technology acceptance model (TAM), the study of technology acceptance for professional groups (such as physicians) has been limited. Physician adoption of clinical information technology is important for its successful implementation. Therefore, the purpose of this study is to gain a better insight about factors affecting physicians’ acceptance of clinical decision support systems (CDSS) in a hospital setting. The results reflect the importance of perceived threat to professional autonomy, perceived interactivity with clinical IT, perceived usefulness and perceived ease of use in determining physicians’ intention to use CDSS.
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 |