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: 156 / 156 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: 21 Oct 2026 07:22 UTC — 29 Oct 2026 17:36 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.
156 / 156 with data · 0 missing or unmatched. Percentages use all 156 selected publications.
156 / 156 with data · 0 missing or unmatched. Percentages use all 156 selected publications.
156 / 156 with data · 0 missing or unmatched. Percentages use all 156 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 156 | 156 | 156/156 | 156/156 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 333 | 156 | 156/156 | 156/156 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 566 | 156 | 156/156 | 156/156 |
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 156 / 156 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): 2026-10-21T07:22:46.044879+00:00 — 2026-10-29T17:36:21.738945+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 | 156 | 156/156 |
| 2018 | All selected publications | 0 | 156 | 156/156 |
| 2019 | All selected publications | 0 | 156 | 156/156 |
| 2020 | All selected publications | 0 | 156 | 156/156 |
| 2021 | All selected publications | 0 | 156 | 156/156 |
| 2022 | All selected publications | 0 | 156 | 156/156 |
| 2023 | All selected publications | 88 | 156 | 156/156 |
| 2024 | All selected publications | 207 | 156 | 156/156 |
| 2025 | All selected publications | 183 | 156 | 156/156 |
| 2026 | All selected publications | 88 | 156 | 156/156 |
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 |
|---|---|
| 2023 | 156 |
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 Business Ecosystem & Strategy Bussecon International Academy | 25 | 57 | 92 | 25/25 | 2.28 | 1 | 60.0 | 25/25 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 14 | 16 | 24 | 14/14 | 1.14 | 0.5 | 50.0 | 14/14 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 117 | 260 | 450 | 117/117 | 2.22 | 1 | 70.1 | 117/117 · 100.0% |
* Percentage among publications with a known citation count.
In today’s technology and digital era, the main problem that can impact the life sector is the aspect of Human Resources with the expertise and competence of an employee. Organizational goals will be achieved, however, with advances in information technology, activities carried out by humans can be completed efficiently and effectively to obtain optimal results. This study aims to determine employees' service performance by linking several variables including digital competence, work-life balance, work stress, and emotional intelligence. This study used the PLS (Partial Least Square) analysis tool and the number of samples was 190 respondents. The study results show that digital competence has no effect on service performance but positively impacts work-life balance and stress. Moreover, emotional intelligence does not moderate the relationship between digital competence and work life balance on service performance but moderates the relationship between work stress and service performance. This research was conducted to determine the performance of employee services and the employees of PT. X were the object of analysis.
This study explores the relationship between organizational commitment and specific aspects of green human resources management to organizational citizenship behaviour. In its implementation, it explores green human resources management at the Ministry of Environment and Forestry as an institution directly related to macro and micro environmental conservation. This study uses quantitative methods, using SEM-PLS. The results of this study: (1) There is no significant effect of the Green Organizational Culture construct on Organizational Commitment. (2) The Green Organizational Culture construct has no significant effect on Organizational Citizenship Behavior. (3) Green Transformational Leadership construct has no significant effect on Organizational Commitment. (4) Green Transformational Leadership constructs have no significant effect on Organizational Commitment. (5) There is a significant effect of the Job Satisfaction construct on Organizational Commitment. (6) There is no significant effect of the Job Satisfaction construct on Organizational Citizenship Behavior. (7) The Organizational commitment construct has no significant effect on Organizational Citizenship Behavior. (8) The Green Transformational Leadership construct has no significant effect on Organizational Citizenship Behavior. (9) There is no significant effect of Job Satisfaction constructs on Organizational Citizenship Behavior through Organizational Commitment. (10) Green Organization Culture constructs have no significant effect on Organizational Citizenship Behavior through Organizational Commitment.
This study aims to explain the effect of product knowledge, brand image, e-WOM on purchase intentions for edtech products in Indonesia. Data were obtained using a closed questionnaire involving 230 respondents, from Indonesians who know about edtech startup products and are between 18 and 35 years old. The sampling technique used was convenience sampling. The analysis technique used is Structural Equation Modeling (SEM) and uses the help of the AMOS version 24 program. The results show that 1) product knowledge has a positive but not significant effect on purchase intention, 2) product knowledge and brand image have a positive and significant effect on e-commerce WOM, 3) brand image and e-WOM have a positive and significant effect on purchase intention. It was also found that e-WOM functions as a mediator variable from the effect of product knowledge and brand image on purchase intention. The effect of the e-WOM mediator is stronger than the direct effect of brand image on purchase intention.
The global industry has been significantly affected by Covid 19, resulting in a reduction in organizational structure, an increase in demand for raw materials and delivery services, and a rise in prices that negatively affect the manufacturing industry. The department responsible for managing these issues is the purchasing department, which will experience a surge in workload and work pressure for its employeesImproving employee performance is a challenge for companies to maintain survival. The thing that needs to be considered is the workload of employees which affects work stress and ultimately causes a decrease in employee performance. The main objective of this research is to examine the effect of workload on performance through work stress. Research using quantitative research methods. The questionnaire has been tested for validity and reliability and distributed to 110 purchasing employees. SmartPLS 3 is used to process data from research results. The results of the study are that there is a negative effect of workload on performance, there is a positive influence of workload on work stress, there is a negative effect from work stress on employee performance, and there is a negative effect of workload on performance through work stress on purchasing employees. The results of this study can be used by companies to improve their performance, especially from factors related to workload and employee work stress.
This study aimed to examine and analyze the effect of job stress and job boredom on employee performance mediated by cyberloafing behavior in employees of the X Regency Labor Office in Indonesia. This study uses quantitative methods by distributing questionnaires to 90 X Regency Labor Office employees. The sampling technique used in this study is saturated sampling or census, with the same number of samples and populations. The final sample that met the criteria was 50 respondents. This study uses the SmartPLS version 3.0 analysis tool with the SEM (Structural Equation Modeling) analysis method. The results of this study explain that; (1) there is a positive and significant influence between job stress on cyberloafing behavior, (2) there is a positive and significant influence between job boredom on cyberloafing behavior, (3) there is a negative and significant influence between cyberloafing behavior on employee performance, (4) there is a significant influence between cyberloafing behavior mediating stress on employee performance, and (5) there is no significant influence between cyberloafing behavior mediating job boredom on employee performance.
Placement and work facilities are the two main pillars in determining employee performance, but research that discusses both is still rare. This research aims to explore the role of work facilities in moderating employee placement on employee performance. This research involved 83 respondents from various fields of work at PT X with the aim of understanding how work placement and facilities influence employee performance. Samples were selected proportionally from various company divisions using probability sampling techniques. The research results show that work placement has a positive and significant influence on employee performance. Work facilities were also proven to have a positive and significant effect on performance. However, the hypothesis regarding the role of work facilities as a moderator of the effect of placement on performance was not proven (P value: 0.200). This means that work facilities at PT X do not significantly strengthen or weaken the relationship between placement and employee performance. Practically, these findings can serve as a guide to better understand the factors that influence employee performance and design more effective human resource management strategies.
This study primarily investigates microfinance practices for sustainable community welfare. Microcredit aims to provide credit to poor people to help empower communities and reduce poverty. Community empowerment strategies can be carried out by increasing the productivity of poor communities to increase their income. A basic approach that emphasizes that the poor move from their current situation to a better position by empowering MSMEs through the distribution of microcredit by micro-financial institutions. Changes that will result in sustainable prosperity, decreasing inequality between regions, and reducing community income gaps. This research will use a qualitative approach using the case study method, which does not use statistical generalizations but uses logical and replicative generalizations. This research uses multiple cases with varying characteristics as research informants. Two microfinance institutions and ten cases of MSMEs will be selected in this research. The study was conducted at Sharia Microfinance Institutions as providers of microcredit and MSMEs receiving microcredit in the Southern region of the Special Region of Yogyakarta, Bantul. This district was chosen because Bantul has the highest poverty rate. This condition is the focus of attention for maximum treatment. This research will use three data collection methods: interview, observation, and documentation, to maintain the data's validity and reliability. Data triangulation was used to test the validity of the data. The data analysis process in this research uses two stages: descriptive analysis and within-case analysis. The research results found that microfinance practices carried out through Sharia Microfinance Institutions (SMFI), apart from focusing on providing accessible financing facilities, have also provided direction in developing MSMEs and taking action towards community welfare. SMFI regularly provides business development training to MSMEs
The objective of this study is to examine the impact of corporate social responsibility (CSR) performance on brand image and customer satisfaction. Moreover, the analysis was performed to examine the impact of brand image and customer satisfaction on customer engagement. This study examines the impact of customer interaction on customer loyalty. This study employs quantitative analysis techniques to empirically examine the formulated hypothesis. The research sample consists of consumers from the cement business in Cirebon, West Java, Indonesia. The study employed a sampling technique that utilized random sampling to gather a sample of 180 respondents, who served as a representative of the study population. The data was acquired by distributing questionnaires and analyzed using the structural equation modeling technique with the assistance of AMOS software. The analytical results demonstrate empirical support for all hypotheses proposed in this study. This study demonstrates that the performance of corporate social responsibility (CSR) has a beneficial impact on the identity of a brand and the happiness of customers. In order to enhance brand recognition and improve consumer happiness, it is important to achieve superior corporate social responsibility (CSR) performance. Moreover, the recognition of a brand and the contentment of customers have a favorable impact on the involvement of customers, and the involvement of customers has a favorable impact on their loyalty. This study offers suggestions to organizations, including those in the cement industry, on how to enhance their corporate social responsibility (CSR) efforts to improve brand recognition and consumer contentment. Effective CSR performance may be attained by addressing five key aspects: social responsibility, environmental stewardship, cultural preservation, human resources management, and socio-economic development. Moreover, it is essential to enhance brand recognition and consumer contentment in order to maximize customer involvement and allegiance.
This exploration aims to test and dissect factors that impact bank fiscal performance and their impact on shareholder tips. The variables used are E-Banking, credit handed as an independent variable, and ROE as a dependent variable. This exploration also looks at the influence of ROE on shareholder tips proxied by the DPR. This exploration was conducted in all BPDs in Sumatra, there are 8 BPDs registered with the OJK during the 2019 – 2022 period. The exploration system used was descriptive exploration with a quantitative exploration approach. Data recycling analysis uses multiple and simple retrogression analyses. The exploration results show that E-Banking and the credit handed have a significant influence on ROE, both concertedly and collectively. Meanwhile, fiscal performance (ROE) also influences shareholder tips (DPR).
The Covid-19 pandemic has hit the world since the end of 2019 and has damaged the world economy, including Indonesia. Banking as a financial institution that provides funding to companies is also affected. Because the pandemic has reduced the company's performance, and this decline in performance has had an impact on banking. The aim of this research is to test whether the Covid-19 pandemic has an impact on the relationship between risk factors and bank performance. Bank performance is measured by profitability which consists of return on assets (ROA) and return on equity (ROE), while bank risk in this study consists of credit risk, liquidity risk, capital, operational risk and the Covid-19 pandemic. The population in this research is the Regional Development Banks (BPD) in Indonesia totaling 34 banks with a sample of 30 banks. The observation period was 4 years with quarterly data so that 320 observation data were collected. Hypothesis testing uses panel data regression, and to select the best regression model, the model will be tested using the Chow-test, Hausman-test, and Lagrange Multiplier test. After the model test was carried out, the fixed effect model was selected as the best model. The research results show that credit risk and operational risk have a significant and negative influence on all profitability, both ROA and ROE. Meanwhile, liquidity risk (LDR) has no effect on both types of profitability, while capital has an effect on ROE but has no effect on ROA. Another interesting result is that the Covid-19 pandemic has no impact on the influence of risk on bank 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 19:56 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 |