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: 19 / 19 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 — 01 Nov 2026 00:44 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.
19 / 19 with data · 0 missing or unmatched. Percentages use all 19 selected publications.
19 / 19 with data · 0 missing or unmatched. Percentages use all 19 selected publications.
19 / 19 with data · 0 missing or unmatched. Percentages use all 19 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 |
|---|---|---|---|---|---|
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2021 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 30 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 39 | 6 | 6/6 | 6/6 |
| 2021 | All selected publications | 41 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 14 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 22 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 18 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 8 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 51 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 61 | 6 | 6/6 | 6/6 |
| 2021 | All selected publications | 54 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 18 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 36 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 17 | 2 | 2/2 | 2/2 |
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 19 / 19 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 — 2026-11-01T00:44:01.666983+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 | 19 | 19/19 |
| 2018 | All selected publications | 0 | 19 | 19/19 |
| 2019 | All selected publications | 3 | 19 | 19/19 |
| 2020 | All selected publications | 7 | 19 | 19/19 |
| 2021 | All selected publications | 24 | 19 | 19/19 |
| 2022 | All selected publications | 31 | 19 | 19/19 |
| 2023 | All selected publications | 39 | 19 | 19/19 |
| 2024 | All selected publications | 66 | 19 | 19/19 |
| 2025 | All selected publications | 54 | 19 | 19/19 |
| 2026 | All selected publications | 21 | 19 | 19/19 |
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 |
|---|---|
| 2018 | 1 |
| 2019 | 3 |
| 2020 | 6 |
| 2021 | 4 |
| 2022 | 1 |
| 2023 | 2 |
| 2024 | 2 |
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 | 19 | 171 | 245 | 19/19 | 9.0 | 7 | 100.0 | 19/19 · 100.0% |
* Percentage among publications with a known citation count.
Ready-made garments (RMG) are one of the most critical sectors in the economy of the South Asian region in terms of the labor force employed and export earnings. This research study aims to determine the Corporate Social Responsibility Stakeholders dimension and its influence on textile firms Performance. The study used organizational legitimacy as mediating variable between the CSR stakeholders and firms’ performances. The research study was used in the quantitative analysis approach to determine the cause and effect of the relationship between CSR and Textile firm’s financial and non-financial performance. Though the study collected primary data & secondary data from 250 respondents using survey questionnaires, the researcher obtained secondary data by analyzing the audited annual and sustainability reports of various RMG companies. We have collected data by conducting a focus group interview forming a team of employers, top-level managers, and CSR officers. We asked them all the questions, filled it, tapped it, reserved it for the interpretations. We have surveyed 67 industries, but it enabled us to collect the data from the 50 sectors—the data collected from 2016 April to 2018 December. Our study has some limitations in that the sample size is small compared to the other research. SPSS-23 & MS-Excel were used to analyze the collected data. CSR practices benefitted RMG companies in terms of long-term sustainable development by increasing the firm’s financial and non-financial performance of the RMG sector.
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.
Whether investors take into account a company's environmental, social, and governance (ESG) issues when making investment decisions (ID), how they interpret corporate reputation (CR) as a result of ESG issues, and whether CR mediates the relationship between ESG issues and ID are the goals of this study. The theory of planned behavior (TPB) and the signaling theory are the bases of the framework. The study was based on a questionnaire survey that received 599 responses from active retail investors in two Bangladeshi cities, Dhaka and Chattagram. The PLS path modeling method was used to analyze the data and test the hypothesis. The empirical findings reveal that corporate ESG issues considerably impact ID and that CR mediates this relationship. This study contributes to behavioral finance by offering empirical proof of the relationship between company ESG issues and investment decisions. By examining the indirect effects of ESG issues on ID via CR, this study contributes to the body of knowledge. It is therefore advised that strategic managers be required to use ESG practices as it builds reputation. At the same time, the government should create public policies, orders, and rules for upholding the ESG issues that contribute to the sustainable development of the capital market and the economy.
Numerous studies have addressed the different context of mHealth services among diverse user groups. But due to a lack of understanding the insight of factors affecting the mHealth adoption, it’s crucial need to conduct a systematic review on this issue. The objective of this study was to synthesize the present understanding of the influential factors of mHealth adoption. We performed a systematic literature search on eight electronically reputed scientific databases from 2010 to March 2019, such as Science Direct, Springer, IEEE Xplore, JMIR, Taylor & Francis, Emerald, Mary Ann Liebert and Google Scholar. This was accomplished by gathering data including authors, countries, years, target population, sample size, models/theories, and key influential factors. Primarily, a total of 2969 potentially relatable papers were found, of which 50 met the inclusion criteria. It was found that cross-sectional approach, survey methods and structural equation modeling (SEM) were the most explored research methodologies whereas PLS-SEM was found to be the largest used analysis tools. From the analysis, a total of ninety-four influential factors were clearly recognized and the findings represent that the following 15 factors appeared most recurrently and significantly; perceived usefulness, perceived ease of use, social-influence, subjective norms, self-efficacy, trust, facilitating conditions, technology anxiety, performance expectancy, effort expectancy, cost, attitude, resistance to change, perceived privacy and security, and perceived behavioral control. The research results have significant theoretical and practical implications for mHealth services providers, researchers and policy makers with regards to the Sustainable Development Goals (SDGs) allied to healthcare.
The 21st century has witnessed a rapid surge in industrial pollution, accompanied by the depletion of natural resources, prompting a collective call to action. As a result, the greening of corporations and ecological sustainability has emerged as a matter of paramount importance for decision-makers worldwide. This study, thereby, aims to examine the implementation of environmentally responsible (Green) human resource management practices in the health sector and their influence on organizational sustainability performance. Methodologically, a descriptive approach was employed, utilizing a questionnaire survey to collect data from 250 healthcare employees within Pakistan's healthcare sector. The study's statistical outcomes indicate that green hiring positively influences economic performance but not social and environmental performance. However, green training, involvement, performance management, and compensation are all positively related to organizational sustainability performance, encompassing social, economic, and environmental aspects in Pakistan’s healthcare sector. By summing up, this study concludes the significance of customizing green HR practices for enhancing sustainability performance in the healthcare sector. It underscores the crucial role played by green human resource management practices and their impact on organizational sustainability performance in a developing country context, specifically in Pakistan.
The 21st century has witnessed a rapid surge in industrial pollution, accompanied by the depletion of natural resources, prompting a collective call to action. As a result, the greening of corporations and ecological sustainability has emerged as a matter of paramount importance for decision-makers worldwide. This study, thereby, aims to examine the implementation of environmentally responsible (Green) human resource management practices in the health sector and their influence on organizational sustainability performance. Methodologically, a descriptive approach was employed, utilizing a questionnaire survey to collect data from 250 healthcare employees within Pakistan's healthcare sector. The study's statistical outcomes indicate that green hiring positively influences economic performance but not social and environmental performance. However, green training, involvement, performance management, and compensation are all positively related to organizational sustainability performance, encompassing social, economic, and environmental aspects in Pakistan’s healthcare sector. By summing up, this study concludes the significance of customizing green HR practices for enhancing sustainability performance in the healthcare sector. It underscores the crucial role played by green human resource management practices and their impact on organizational sustainability performance in a developing country context, specifically in Pakistan.
While employee agility has recently gained increased attention, there is a notable lack of research on its antecedents. This study investigates the impact of humble leadership on employee agility within the context of Egypt's hospitality industry. Utilizing survey data collected from 320 frontline employees within Egypt's travel agencies, the findings reveal a positive and significant impact of humble leadership on employee agility. Notably, the study identifies employees' self-efficacy as a partial mediator in this relationship, shedding light on the underlying mechanisms through which humble leadership shapes employee agility. These insights enrich the existing body of knowledge by providing a nuanced perspective on the influence of humble leadership on employee agility and offer practical implications for leaders and organizations seeking to enhance workforce agility in the dynamic setting of the hospitality industry.
This study aims to evaluate the impact of human resource management practices (HRMPs) on employee attitudes and behavior (EAB). The population of this study was all employees of cement manufacturing firms (CMC) in the southern region of Bangladesh. Data was gathered using structured questionnaires following convenient sampling technique. The data was analyzed using SPSS-23 statistical package program. A robust and significant linear association between HRMPs and EAB was found. Further, HRM practices, including compensation & rewards (CR) and motivation (MV) were discovered to be dominant predictors of EAB. According to the study, variations in EAB of 77.10% were caused by independent predictors such as recruitment and selection (RS), training and development (TD), performance appraisals (PA), compensation and rewards (CR), motivation (MV), and maintenance (MT) in CMC in the southern part of Bangladesh. Nevertheless, it is apparent from the study's findings that manufacturing organizations that have implemented progressive HRM practices in a systematic and integrated manner are having an enormous influence on EAB. This study only focused on one industry and one type of organizational structure. According to the study, findings should not be extensively generalized. Future research should incorporate other aspects, such as organizational learning and organizational capacity, to construct a new model of HRM practices.
Whether investors take into account a company's environmental, social, and governance (ESG) issues when making investment decisions (ID), how they interpret corporate reputation (CR) as a result of ESG issues, and whether CR mediates the relationship between ESG issues and ID are the goals of this study. The theory of planned behavior (TPB) and the signaling theory are the bases of the framework. The study was based on a questionnaire survey that received 599 responses from active retail investors in two Bangladeshi cities, Dhaka and Chattagram. The PLS path modeling method was used to analyze the data and test the hypothesis. The empirical findings reveal that corporate ESG issues considerably impact ID and that CR mediates this relationship. This study contributes to behavioral finance by offering empirical proof of the relationship between company ESG issues and investment decisions. By examining the indirect effects of ESG issues on ID via CR, this study contributes to the body of knowledge. It is therefore advised that strategic managers be required to use ESG practices as it builds reputation. At the same time, the government should create public policies, orders, and rules for upholding the ESG issues that contribute to the sustainable development of the capital market and the economy.
Ready-made garments (RMG) are one of the most critical sectors in the economy of the South Asian region in terms of the labor force employed and export earnings. This research study aims to determine the Corporate Social Responsibility Stakeholders dimension and its influence on textile firms Performance. The study used organizational legitimacy as mediating variable between the CSR stakeholders and firms’ performances. The research study was used in the quantitative analysis approach to determine the cause and effect of the relationship between CSR and Textile firm’s financial and non-financial performance. Though the study collected primary data & secondary data from 250 respondents using survey questionnaires, the researcher obtained secondary data by analyzing the audited annual and sustainability reports of various RMG companies. We have collected data by conducting a focus group interview forming a team of employers, top-level managers, and CSR officers. We asked them all the questions, filled it, tapped it, reserved it for the interpretations. We have surveyed 67 industries, but it enabled us to collect the data from the 50 sectors—the data collected from 2016 April to 2018 December. Our study has some limitations in that the sample size is small compared to the other research. SPSS-23 & MS-Excel were used to analyze the collected data. CSR practices benefitted RMG companies in terms of long-term sustainable development by increasing the firm’s financial and non-financial performance of the RMG sector.
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 |