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: 17 / 17 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 01:09 UTC — 25 Oct 2026 11:40 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.
17 / 17 with data · 0 missing or unmatched. Percentages use all 17 selected publications.
17 / 17 with data · 0 missing or unmatched. Percentages use all 17 selected publications.
17 / 17 with data · 0 missing or unmatched. Percentages use all 17 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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 17 | 17 | 17/17 | 17/17 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 73 | 17 | 17/17 | 17/17 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 121 | 17 | 17/17 | 17/17 |
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 17 / 17 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): 2026-10-22T01:09:50.093182+00:00 — 2026-10-25T11:40:16.132908+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 | 17 | 17/17 |
| 2018 | All selected publications | 0 | 17 | 17/17 |
| 2019 | All selected publications | 0 | 17 | 17/17 |
| 2020 | All selected publications | 0 | 17 | 17/17 |
| 2021 | All selected publications | 8 | 17 | 17/17 |
| 2022 | All selected publications | 25 | 17 | 17/17 |
| 2023 | All selected publications | 28 | 17 | 17/17 |
| 2024 | All selected publications | 30 | 17 | 17/17 |
| 2025 | All selected publications | 19 | 17 | 17/17 |
| 2026 | All selected publications | 11 | 17 | 17/17 |
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 |
|---|---|
| 2021 | 17 |
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 | 17 | 73 | 121 | 17/17 | 4.29 | 3 | 94.1 | 17/17 · 100.0% |
* Percentage among publications with a known citation count.
In this paper, we investigate the definition of Fintech and measure the extent of the impact of Fintech variables on the Cybersecurity as the dependent variable. The hypotheses developed by the authors which are based on research through the statistical results of the research variables and as all correlation coefficients were a positive relationship and at the level of significance 0.01 which made the authors accept the correlation hypotheses, and for the results of the influence factor between the research variables it also had a positive effect when the level of 0.05 for all sections of the independent variable, as we have also noticed that the influence of the independent variable of financial technology when linked to all of its sections with Cybersecurity. We find the influence of the influence coefficient significantly increased to 0.908, which explains that there is a complementarity between the sections of the independent variable.
This study assesses the effect of green human resource management (GHRM) practices (overall) on the organization’s environmental performance (OEP) and to identify how the organizations can improve their EP by using GHRM practices through Green Employee Empowerment (GEE). The study was based on a questionnaire survey of 340 responses from the manufacturing sectors; the key respondents were one from each industry limited to top management, HR manager, quality manager, or employee of manufacturing firms. The questionnaires were tested for reliability and validity. To evaluate the hypothesis, data was examined using the PLS path modeling technique. The empirical findings show that the GHRM practices (overall) have a significant effect on OEP, and GEE mediates their relation. This research has theoretically contributed to the green HRM/HRM literature by establishing a link between GHRM practices and their EP outcomes in manufacturing companies. This study adds to the body of knowledge by looking at the indirect impacts of GHRM practices on OEP via GEE. The findings suggested that GHRM practices might lead employees to green empowerment in order to improve environmental performance.
The Covid-19 pandemic restricted the people around the world's boundaries. Therefore, online learning's importance increased in the current era, an essential topic for current research. Students are actively using Massive Open Online Courses (MOOCs) while restricted at their homes during the Covid-19 pandemic. This research investigates the Unified Theory of Acceptance and Use of Technology model (UTAUT) and quality factors to predict the users perceived satisfaction and reuse intentions toward MOOCs in the Covid-19 pandemic. We collected data from three public universities in Wuhan, China and 298 users who were actively using MOOCs participated in this research. The proposed hypotheses were tested by using PLS-SEM. The findings revealed that effort expectancy and social influence directly impacted users' reuse intentions while performance expectancy and perceived course quality positively impacted users' reuse intentions through perceived satisfaction toward MOOCs. This research found the critical role of perceived satisfaction in the current pandemic era. Finally, this research provides important theoretical implications for the researchers and practical implications for the developers, technologists, and policymakers for developing effective systems and strategies in online environments. In addition, this study revealed some limitations and future research guidelines for the researchers.
This study aims to develop and test a holistic model that depicts and examines the relationships among job autonomy, its drivers, as well as autonomous motivation and influence employee engagement. This research is among the first works to deal with such a complex framework that considers the interrelationships among numerous constructs and their effects on employee engagement. A questionnaire was designed to measure the influence of Job autonomy and its drivers on employee engagement while taking into consideration the impact of turbulent times and organizational commitment on these relationships. Data collected from a sample of 317 respondents working in Ethiopian commercial banks were used to test the proposed relationships. The relationships were analyzed using partial least squares structural equation modeling (PLS-SEM) using the Smart PLS 3 software and SPSS version 26. PLS is a well-established technique for estimating path coefficients in structural models and has been widely used in a number of research studies. The proposed model proved to be fit. The findings of this study suggest that creating job autonomy and assuring autonomous motivation, may help companies gain employee engagement and enhance their performance. The adoption and implementation of such activities are driven by method, criteria, and scheduling autonomy. The successful implementation of these practices requires considering the level of turbulent environment and organizational tenure. The hypotheses were supported, and implications were discussed
Nowadays, the non-farm sector gives more attention and high expectations in reducing poverty in sub-Saharan African. Because participation of farm households in the none-farm sector out of their farm activities will play a great role to reduce poverty. Cross-sectional data were used to collect data in 2020 from farm household heads of 371 respondents with the mixed methodology to investigate the effect of demographic factors in none/off-farm economic activities on gender perspective in Ethiopia. In this study, we employ a Logistic regression model to explore the probabilities of household heads' participation in none/off-farm economic activities out of their farm. The result indicated, age and education level have a positive effect and statistically significant effect on increasing non-farm activities with the coefficients of 3.406, 1.956 respectively, confirmed that these variables should take into account in policy development to increase their impact on livelihood diversification. And Gender has a negatively significant on livelihood diversification. FHH is more participants in non-farm economic activities than MHH. Credit access does not contribute to increasing livelihood diversification instead; it contributes to agricultural specialization, not diversification. Surprisingly, family size has insignificant results in non-farm economic activities The outcome indicated it has its implications for the Ethiopian policy and strategy. The government should give more attention to the progressive aspects of non-farm economic activities to eradicate poverty. Whereas, decreasing its negative impact on poorer households by controlling obstacles of non-farm activities.
There is a high expectation that urban-rural linkage in general and the function of small towns, in particular, has a great role in livelihood diversification and poverty reduction in rural areas than sectoral development. However, the previous empirical studies give little attention to the function of small towns and the livelihood diversification of rural communities. We analyze the function of a small town and participating in non-farm economic activities from a rural farm household survey of 371 farmer household heads in Ethiopia. The data was analyzed using a logistic regression model and statistical description. The study found that rural households who have road access have likely participated in none-farm activities and it has positive and significant effects. Education and FHH has also a significant relationship with the function of a small town. Distance from the small town has a significant and positive impact on the non-farm economic activities of rural communities. Overall, benefits from the function of small towns such as the provision of road access, agricultural extension, financial credit services, administrative services, educational and health services are some of the provisions of a small town. Therefore, a comprehensive integrated urban-rural linkage strategy could empower rural farm smallholders to diversify their livelihoods through strengthening small town functions is mandatory. The role of small towns needs to be integrated into rural communities. Participate in livelihood diversification strategies and achieve sustainable development goals by 2030 at large.
Nowadays, the non-farm sector gives more attention and high expectations in reducing poverty in sub-Saharan African. Because participation of farm households in the none-farm sector out of their farm activities will play a great role to reduce poverty. Cross-sectional data were used to collect data in 2020 from farm household heads of 371 respondents with the mixed methodology to investigate the effect of demographic factors in none/off-farm economic activities on gender perspective in Ethiopia. In this study, we employ a Logistic regression model to explore the probabilities of household heads' participation in none/off-farm economic activities out of their farm. The result indicated, age and education level have a positive effect and statistically significant effect on increasing non-farm activities with the coefficients of 3.406, 1.956 respectively, confirmed that these variables should take into account in policy development to increase their impact on livelihood diversification. And Gender has a negatively significant on livelihood diversification. FHH is more participants in non-farm economic activities than MHH. Credit access does not contribute to increasing livelihood diversification instead; it contributes to agricultural specialization, not diversification. Surprisingly, family size has insignificant results in non-farm economic activities The outcome indicated it has its implications for the Ethiopian policy and strategy. The government should give more attention to the progressive aspects of non-farm economic activities to eradicate poverty. Whereas, decreasing its negative impact on poorer households by controlling obstacles of non-farm activities.
There has been an increased recognition that more attention needs to be paid to authentic leadership as it emphasizes positive psychological behavior. Organizational citizenship behavior is crucial in the public service, and there should be friendly leadership behavior that could enable public employees to engage in helping behavior. Research in this area is of great interest and with a very active research community. The problem has recently attracted more attention due to the increasing mismanagement, scandal, and corruption in various public organizations that have contributed to the demand for authentic leadership. Although public organizations were trying to introduce various leadership styles that can enhance service delivery, what and how leadership behavior contributes to employees' Organizational Citizenship behavior (OCB) in public service is not well elaborated. The respondents were leaders from 10 public service organizations. Empirical evidence revealed that leaders' authentic leadership behavior impacted employees' organizational citizenship behavior through self-awareness, sharing information, ethical practices, good relation with subordinates, mutual understanding, and transparency. The innovative results of the study revealed that political, cultural, and social aspects influence the leadership behavior of leaders in public service. This study concluded that authentic leaders play a great role in creating a positive relationship and promoting employees' citizenship behaviors. The implications and future research of the results were discussed based on the influence of authentic leadership on employees' OCB.
Investment seeking Bangladesh's economy is hungry for local and international finance for its infrastructure development. One Belt-One Road (OBOR) seems opened a golden door, not only for Bangladesh's economic reform but also created an opportunity for higher bilateral cooperation between China and Bangladesh. The geographical location of Bangladesh is playing a vital role despite being a small economy and territory in the region. Covering three sides of the Bangladeshi border, economically emerging state India has a sharp eye look on Bangladesh's strategies and policies more than any other time. The hostile looks of India (on China's OBOR initiative) are not an easy task for Bangladesh regarding Geopolitical & Economic strategies. Growing interests in Bangladesh among China and India appeared as a two-edged sword. However, India was the major trading partner of Bangladesh. However, China's trade with Bangladesh has increased manifold in recent years to surpass India from 2004 onwards. This is slowing down, and the change of economic relations between India and Bangladesh, coupled with strained and uncertain political relations, raises multiple concerns. Many dynamics have contributed to China's growing presence in Bangladesh compared to India's decline concerning trade and investment. India has lost out to China in many vital industries. While reviewing and assessing recent developments, the study also depicts a strategy to counter India's declining economic influence in Bangladesh.
This study assesses the effect of green human resource management (GHRM) practices (overall) on the organization’s environmental performance (OEP) and to identify how the organizations can improve their EP by using GHRM practices through Green Employee Empowerment (GEE). The study was based on a questionnaire survey of 340 responses from the manufacturing sectors; the key respondents were one from each industry limited to top management, HR manager, quality manager, or employee of manufacturing firms. The questionnaires were tested for reliability and validity. To evaluate the hypothesis, data was examined using the PLS path modeling technique. The empirical findings show that the GHRM practices (overall) have a significant effect on OEP, and GEE mediates their relation. This research has theoretically contributed to the green HRM/HRM literature by establishing a link between GHRM practices and their EP outcomes in manufacturing companies. This study adds to the body of knowledge by looking at the indirect impacts of GHRM practices on OEP via GEE. The findings suggested that GHRM practices might lead employees to green empowerment in order to improve environmental 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 |