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: 18 / 18 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 00:57 UTC — 27 Oct 2026 18:55 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.
18 / 18 with data · 0 missing or unmatched. Percentages use all 18 selected publications.
18 / 18 with data · 0 missing or unmatched. Percentages use all 18 selected publications.
18 / 18 with data · 0 missing or unmatched. Percentages use all 18 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 18 | 18 | 18/18 | 18/18 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 80 | 18 | 18/18 | 18/18 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 112 | 18 | 18/18 | 18/18 |
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 18 / 18 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): 2026-10-22T00:57:01.508726+00:00 — 2026-10-27T18:55:35.970335+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 | 18 | 18/18 |
| 2018 | All selected publications | 0 | 18 | 18/18 |
| 2019 | All selected publications | 0 | 18 | 18/18 |
| 2020 | All selected publications | 4 | 18 | 18/18 |
| 2021 | All selected publications | 18 | 18 | 18/18 |
| 2022 | All selected publications | 19 | 18 | 18/18 |
| 2023 | All selected publications | 19 | 18 | 18/18 |
| 2024 | All selected publications | 24 | 18 | 18/18 |
| 2025 | All selected publications | 20 | 18 | 18/18 |
| 2026 | All selected publications | 8 | 18 | 18/18 |
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 |
|---|---|
| 2020 | 18 |
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 | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 17 | 80 | 112 | 17/17 | 4.71 | 4 | 94.1 | 17/17 · 100.0% |
* Percentage among publications with a known citation count.
Online banking has become a vital instrument for delivering quality and easily reached banking services at the lowest possible time with ensuring affordability both for customers and service providers. Although this banking has huge potentials and benefits, the successful adoption of online banking remains a significant challenge in the context of an emerging economy like Bangladesh. The purpose of this empirical study is to investigate the factors influencing the online banking services adoption in Bangladesh by using the extended Technology Acceptance Model (TAM) with government support and risk factors. A questionnaire survey method was used to collect data from 380 banking customers. To analyse the collected survey data and test the set of hypothesis, a structural equation modelling (SEM) method was used with the help of SmartPLS3 package. The results illustrate that perceived ease of use, perceived usefulness, attitude towards use, government support positively influence the intention to use as well as the intention to use positively impact on intention to continue to the adoption of online banking services. However, the relationship between risk and intention to use was statistically insignificant. Finally, the findings may assist banking professionals and programmers to develop and design successful policies regarding online banking services to boost this service industry in the future.
Among the various online services provided by the government, e-tax system is one of the commonly used e-government platforms, which offers significant benefits to government and citizens by reducing costs, eliminate human errors, and reduce the turnaround time for processing income tax returns. Despite these plausible benefits, some reservations have been articulated regarding the continuance usage intention of e-tax system. Thus, we investigate the most critical factors of e-tax continuance usage in this paper. We developed an integrated theoretical model based on the technology continuance theory (TCT) extended with social influence and perceived risk. The proposed conceptual model was empirically validated with data collected from a sample of 345 e-tax service users in Bangladesh. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the collected data. The study findings suggest that user satisfaction, perceived usefulness, and attitude have a direct impact on continuance usage intention where confirmation, ease of use and social influence have indirect influence on continuance usage intention of e-tax system. This paper discusses some contributions to theory and practice based on our findings
In the current era, digital technology cannot be overlooked in higher education and other economic factors. Digital technology introduces scopes that expedite blended, e-learning, and online in higher education; suggests a multiple of ways to communicate, learn, correspond, cooperate, and collaborate. Also, digital technology has been more and more widely used in higher education for the continuous development of the economy. This study replicates on the growing importance of digital technology on higher education in Bangladesh over the period 1988-2018. Besides, the study exploits the Johansen cointegration and vector error correction model (VECM) for investigating the positive relationship between digital technology and higher education. The Johansen's cointegration outcomes ascertain that digital technology, higher education, and gross domestic product are cointegrated in the long-run. Furthermore, the VECM outcomes suggest that digital technology can stimulate higher education in both the long run and short run, where learners, educators, and nations are consistently gainer of this country. The study also highlights that higher education consistently contributes to gross domestic product. This research would do twisting up higher education in the kind of digital technology that effectively contributes to educational institutions and countries to remain long-term response. Bangladesh must be beneficial by growing technological development in higher education. For the rapid changes in higher education, the research is advocated that the successful execution of digital technology needs to concentrate on interconnecting structures for transformation: the educator, the educational institutions, and the policymakers. Consequently, public policies would make educational changes in practicing the digital technology of Bangladesh
Based on Construal-level theory, this study hypothesized that self-actualization positively relates to employees’ taking charge, and self-actualization affects creative performance and normal performance through taking charge positively, but the effect is different. The authors selected a cross-sectional design to investigate interrelations amongst study variables at two different time points with the interval of one month, and surveyed 417 team members and 186 immediate team leaders in the banking sector in Pakistan. The authors used individual-level data to evaluate the validity and test the proposed relationships by using Mplus. They revealed that self-actualization affects taking charge positively, and taking charge mediated the relationship with the difference in effect e.g. taking charge has high effect on creative performance in comparison to normal performance. The outcomes carry important implications aimed at increasing high-level self-actualization that results in taking charge, and so on leads to creative and normal performance.
In recent years, feeling lonely in the workplace has become a serious issue that has gained growing concern due to its complex outcomes. Limited research is available on workplace loneliness and empirical research on workplace loneliness is still in infancy. The purpose of this quantitative research study is to determine whether a positive relationship exists between workplace loneliness and employee creativity in the tourism industry of Maldives. I propose a moderated mediation model in which workplace loneliness foster employee creativity via personal identity and knowledge hiding hinders it, and this effect is moderated by team identification. Role transition and social identity theory are used as an explanatory framework for workplace loneliness and employee creativity. Results from a study of 204 individuals show that workplace loneliness is positively and significantly related to employee creativity. Further analysis identified that personal identity is positively and significantly related to the relationship between workplace loneliness and employee creativity. The discussion concludes that a subjective and personal experience; workplace loneliness can foster employee creativity. These results contribute to the literature on creativity and workplace loneliness by clarifying how and what influences of workplace loneliness are related to employee creativity. Recommendation for further research are give
Among the various online services provided by the government, e-tax system is one of the commonly used e-government platforms, which offers significant benefits to government and citizens by reducing costs, eliminate human errors, and reduce the turnaround time for processing income tax returns. Despite these plausible benefits, some reservations have been articulated regarding the continuance usage intention of e-tax system. Thus, we investigate the most critical factors of e-tax continuance usage in this paper. We developed an integrated theoretical model based on the technology continuance theory (TCT) extended with social influence and perceived risk. The proposed conceptual model was empirically validated with data collected from a sample of 345 e-tax service users in Bangladesh. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the collected data. The study findings suggest that user satisfaction, perceived usefulness, and attitude have a direct impact on continuance usage intention where confirmation, ease of use and social influence have indirect influence on continuance usage intention of e-tax system. This paper discusses some contributions to theory and practice based on our findings
Despite providing service and consumption are two sides of the same coin of value co-creation in the gig economy, value as an outcome was only investigated from the customer point of view, not from the provider. This study aims to explore the impact of algorithmic management, customer dysfunctional behavior and perceived injustice on Uber and Careem drivers perceived value in Egypt. Qualitative interviews and content analysis were employed. Thematic analysis will be used for identifying, analyzing, and reporting patterns within data. Our findings define how drivers’ perceived value is negatively influenced by algorithmic management, customer dysfunctional behavior, and perceived injustice. In order to increase drivers’ perceived value, ride-hailing companies should not only put consideration on how to improve the control of algorithmic management and customer empowerment but also have to revise their policies and decisions to provide positive value to their drivers.
This study investigates the impact of democracy indices on the literacy rate. Panel Data of 134 Countries from 2007-2018 were collected from the website the World Bank and Gapminder. This study uses Ordinary Least Square (OLS), Pooled Ordinary Least Square (POLS), Driscoll-Kraay (DK), Second Stage Least Square (2SLS), Generalized Methods of Moments (GMM) methods. This research has found that political participation index and political culture index has a significant positive relationship with literacy rate in all the method. The functioning of the government index has a significant positive relationship and electoral process and the pluralism index has a significant negative relationship with literacy rate in all the methods except the GMM method. The civil liberties index has a significant negative relationship with literacy rate in POLS and in the other models, there is no significant relationship between the civil liberties index and literacy rate.
In recent years, feeling lonely in the workplace has become a serious issue that has gained growing concern due to its complex outcomes. Limited research is available on workplace loneliness and empirical research on workplace loneliness is still in infancy. The purpose of this quantitative research study is to determine whether a positive relationship exists between workplace loneliness and employee creativity in the tourism industry of Maldives. I propose a moderated mediation model in which workplace loneliness foster employee creativity via personal identity and knowledge hiding hinders it, and this effect is moderated by team identification. Role transition and social identity theory are used as an explanatory framework for workplace loneliness and employee creativity. Results from a study of 204 individuals show that workplace loneliness is positively and significantly related to employee creativity. Further analysis identified that personal identity is positively and significantly related to the relationship between workplace loneliness and employee creativity. The discussion concludes that a subjective and personal experience; workplace loneliness can foster employee creativity. These results contribute to the literature on creativity and workplace loneliness by clarifying how and what influences of workplace loneliness are related to employee creativity. Recommendation for further research are give
In the arena of economic analysis, the wealth of a nation is getting more and more attention to be a better indicator to evaluate the status of an economy. This paper had studied the aggregate household wealth of different nations of the world, 106 countries, for the year 2009-2018. During these years, only two countries of the world, China and the USA have managed to increase their wealth tremendously over the last decade while others experienced a slow pace in the growth of wealth. To satisfy the query of how efficient these countries were in maximizing their wealth, a stochastic frontier approach (SFA) has been used to predict the technical efficiency dependent variable and then generalized methods of moments (GMM) and other models have been used to find out the determinants of this efficiency. The study had come up with the result that land, labor, and capital mainly contributed to the output of wealth maximization while past year level of efficiency, export, and import played the main roles in determining the wealth maximizing efficiency status of a nation. It is found that there is a negative relationship between past-year efficiency with current years and the more a country imports, the less efficient the country is while the more it exports, the more efficient the country is in maximizing wealth.
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 |