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: 96 / 96 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 — 27 Oct 2026 22:21 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.
96 / 96 with data · 0 missing or unmatched. Percentages use all 96 selected publications.
96 / 96 with data · 0 missing or unmatched. Percentages use all 96 selected publications.
96 / 96 with data · 0 missing or unmatched. Percentages use all 96 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 96 | 96 | 96/96 | 96/96 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 137 | 96 | 96/96 | 96/96 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 164 | 96 | 96/96 | 96/96 |
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 96 / 96 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): 2026-10-21T07:22:53.425590+00:00 — 2026-10-27T22:21:58.205499+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 | 96 | 96/96 |
| 2018 | All selected publications | 0 | 96 | 96/96 |
| 2019 | All selected publications | 0 | 96 | 96/96 |
| 2020 | All selected publications | 0 | 96 | 96/96 |
| 2021 | All selected publications | 0 | 96 | 96/96 |
| 2022 | All selected publications | 0 | 96 | 96/96 |
| 2023 | All selected publications | 0 | 96 | 96/96 |
| 2024 | All selected publications | 21 | 96 | 96/96 |
| 2025 | All selected publications | 86 | 96 | 96/96 |
| 2026 | All selected publications | 57 | 96 | 96/96 |
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 ↗
Records with full publication dates only. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2024-02 | 12 |
| 2024-03 | 1 |
| 2024-04 | 3 |
| 2024-06 | 25 |
| 2024-08 | 26 |
| 2024-09 | 2 |
| 2024-10 | 6 |
| 2024-12 | 21 |
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 | 9 | 3 | 4 | 9/9 | 0.33 | 0 | 33.3 | 9/9 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 8 | 11 | 12 | 8/8 | 1.38 | 1.0 | 62.5 | 8/8 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 79 | 123 | 148 | 79/79 | 1.56 | 1 | 63.3 | 79/79 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to investigate the effect of employee motivation and employee engagement mediated by job satisfaction on job performance. This study employs explanatory research with a quantitative approach. The population in this study consisted of all employees of retail company X. The sampling technique used was saturated sampling, and the number of research samples was 150. Data was collected through surveys and documentation, and the instrument was tested using Likert scales. The data was analysed using Structural Equation Model Partial Least Squares (SEM-PLS) modelling. The results of this study indicate that employee motivation can increase job performance, while employee engagement cannot increase job performance. Furthermore, the findings revealed that employee motivation can increase job satisfaction while employee engagement cannot. Job satisfaction can increase job performance. Job satisfaction can mediate the effect of employee motivation on job performance, but it cannot mediate the effect of employee engagement on job performance. According to the findings of this study, Company X should be able to provide motivational stimulus to employees by increasing salaries and work incentives, as well as increasing training and developing employee skills, so that workers can work effectively and efficiently.
ESGs, or sustainable business practices, are becoming more and more popular as more stakeholders, regulators, and investors want to conduct business in a way that helps address urgent global issues like environmental degradation, climate change, ethical supply chains, and global well-being. Consequently, while making investment decisions, environmental, social, and governance (ESG) factors are given more weight in the operational and strategic objectives of the organization. The purpose of this research is to determine the relationship between a company's financial success and market value and its environmental, social, and governance (ESG) performance. This research uses financial performance as a mediating impact and integrates the risk mitigation element, which is the foundation of sustainability. Data from publicly traded businesses on the Indonesia Stock Exchange with ESG risk from Sustainalytics and ESG ratings from Refinitiv were used in the study. Purposive sampling was the sampling approach utilized to acquire 48 observation firms for empirical testing. The results indicate that only the individual environmental ESG score has a positive and significant impact on financial performance and company value, whereas the composite ESG score has a positive and substantial impact on financial performance. The finding of this study is that the improvement of corporate ESG performance can increase corporate value, and corporate financial performance provides an obvious mediating effect. The findings further show that low-risk ESG scores have an impact on increasing firm value with financial performance as the mediation.
This study aims to investigate the impact of transactional leadership on employee performance through the mediation of job satisfaction, job stress, and trust. This study employs explanatory research using a quantitative approach. The population in this study were employees of companies engaged in shipbuilding in Surabaya city, namely PT. Dok dan Perkapalan Surabaya (Persero). The study used saturated sampling. The study had 69 respondents. Data was gathered through surveys and documentation, and the instrument was tested using likert scales. The data were analyzed using the structural equation model partial least squares (SEM-PLS) modelling. The finding of this study indicated that Transactional Leadership can enhance employee performance. Furthermore, Transactional Leadership can boost job satisfaction and trust while reducing employee stress. Employee performance can be improved by addressing job satisfaction issues. Employee performance is positively correlated with job satisfaction. However, Job stress has no significant effect on employee performance. While trust can enhance employee performance. Job Satisfaction can mediate the effect of Transactional Leadership on Employee Performance, whereas Job Stress cannot. Trust has the ability to mediate the impact of Transactional Leadership on Employee Performance. The findings of this study advise PT. Dok dan Perkapalan Surabaya (Persero) to maintain and improve the leader's transactional leadership style in managing various resources in the company in order to foster a positive relationship between employees and the company, allowing employee performance to improve optimally.
The purpose of this study is to investigate the impact of gamification on loyalty by mediating consumer engagement and brand awareness among Shopee users in Surabaya. Consumer behavior guides this research. Shopee users serve as the research subjects in this study. This study employs a quantitative methodology. The participants in this study were Shopee users who played gamification games. Purposive sampling was used, and there were 130 respondents in total. The G-Form questionnaire collects data, and the results are analyzed using SEM-PLS. The findings of this study show that gamification has a direct effect on loyalty. Gamification also influences consumer engagement and brand awareness. Brand awareness and consumer engagement both have an impact on loyalty. Gamification's impact on loyalty can be mediated by consumer engagement and brand awareness.
The sharing economy's ride-hailing sector is marked by fierce competition and continuous innovation. This study investigates the competitive dynamics of this industry, focusing on the role of market dynamics, promotional innovation, and operational agility in establishing a sustainable competitive advantage (SCA). Despite an extensive review of 2,192 sources from 2010 to 2022, a significant gap was identified, with minimal focus on SCA within ride-hailing. The research methodology encompassed a comprehensive literature review, identifying only one out of 1,099 publications that directly addressed SCA in the ride-hailing context. Building on this gap, the study developed a novel conceptual framework that emphasizes market awareness, innovative engagement strategies, and operational flexibility as key components for maintaining a competitive edge. The proposed model highlights the importance of stakeholder engagement, the identification of growth catalysts, and the navigation of industry-specific challenges. This framework aims to enhance the understanding of SCA in ride-hailing and suggests pathways for companies to achieve leadership in sustainability. This study contributes to the discourse on sustainable business management by proposing a strategic approach for ride-hailing companies to secure and sustain a competitive advantage. It underscores the necessity of innovative and flexible operational strategies in responding to market dynamics and stakeholder expectations. Future research is encouraged to explore the untapped sustainable capacities of the ride-hailing sector, further enriching the strategies for achieving long-term success and sustainability in this competitive landscape.
This research aims to determine and analyze the influence of financial literacy and lifestyle on financial behavior. This type of research is explanatory research using a quantitative approach method. The sampling technique uses probability sampling with the proportionate stratified random sampling method with a sample size of 395 people. The data analysis technique used in this research is multiple linear regression analysis using SPSS tools. The results of this research show that financial literacy has a positive and significant effect on the financial behavior of generation Z. Lifestyle has a negative and significant effect on the financial behavior of generation Z. Financial literacy and lifestyle simultaneously have a positive and significant effect on the financial behavior of generation Z in Sawahan District, Surabaya City. The results of this study suggest that generation Z must have qualified financial literacy and have a healthy lifestyle in order to form good financial management so that generation Z has an awareness of the importance of doing good financial planning as early as possible to achieve financial well-being.
This study aims to analyze the influence of social media use, technology utilization, and e-recruitment on the interest of Generation Z in career opportunities in applying for jobs. Gen Z has a high reliance on technology and social media, which has an impact on the way they search for and apply for jobs. The method used in this study is a quantitative method. The data source in this study uses primary data. The data collection technique uses a google form questionnaire. The population in this study is active students who take their TA thesis. Even 2023/2024 at the Faculty of Economics and Business, Prof. Moestopo University (Religious). The sample in this study is 30 people. The sampling method is random sampling. The data analysis in this study uses multiple linear regression using validity test, reliability test, classical assumption test and t-hypothesis test and determination coefficient test. The results of the study show that the use of social media, the use of technology, and e-recruitment have a positive influence on Generation Z's interest in career opportunities in applying for jobs. Social media plays a role in disseminating vacancy information widely. Generation Z relies heavily on social media as a source of information and a means to explore career opportunities. Technology, such as online job search platforms, social media, and digital communication tools, provides easy access and quick information, thereby increasing their interest in finding and applying for jobs. Generation Z tends to be more interested in the recruitment process that is carried out online compared to conventional methods.
This study analyzes the influence of transformational leadership on employee performance across generations (Generation X, Y, and Z) with motivation as a mediating variable, in PT. BCA, Tbk Regional Office VII Malang City. The challenge faced is the difference in generational characteristics that require different leadership approaches to create a productive work environment.The research method used is a quantitative approach with Partial Least Square-Structural Equation Modeling (PLS-SEM) analysis. Data was collected through questionnaires distributed to employees and analyzed using SmartPLS software. The results of the study show that transformational leadership has a significant positive effect on the motivation and performance of Generation X and Y employees. However, in Generation Z, motivation does not significantly mediate the influence of transformational leadership on performance.These findings show that Generation X is more influenced by financial rewards and compensation, while Generation Y is more motivated by appropriate benefits and appreciation. On the other hand, Generation Z needs leaders with clear direction and charisma rather than traditional incentive-based motivation. Therefore, organizations need to adapt their leadership styles based on the specific needs of each generation to optimally improve employee performance.
This study examines the impact of green perceived value and green perceived risk on repurchase intention mediated by green trust in Adidas green products. This study is explanatory and employs a quantitative methodology. The study's population comprised individuals who purchased Adidas green products. This study employs a purposive sampling technique. The sample size consists of 190 respondents. The data utilized in this study were gathered by questionnaire. The acquired data were analyzed using SEM (Structural Equation Modeling) PLS. The findings indicated that Green Perceived Value positively enhances repurchase intention and trust. Furthermore, Green Perceived Risk adversely affects repurchase intention and trust, while Green Trust enhances repurchase intention. Green Trust can enhance the relationship between Green Perceived Value and Green Perceived Risk regarding repurchase intention, but its mediation role is partial. This study highlights that to increase repurchase intention, Adidas should focus on high green perceived value through consistent product quality and emphasize its environmental commitment to attract younger consumers. Although green perceived risk is low, Adidas should minimize negative risks and maintain product quality. Additionally, green trust plays a crucial role in strengthening consumer confidence and attracting new customers.
This study analyses the impact of transaction exposure, firm size, and liquidity on firm value with leverage as a mediating variable in on Consumer Non-Cylicals Sector Companies Listed on the Indonesia Stock Exchange from 2018 to 2023. Using Signalling Theory and Trade-off Theory as theoretical frameworks, the research employs path analysis to evaluate the relationships between variables. The findings reveal that transaction exposure, firm size, and liquidity have a positive significant effect on firm value. Conversely, leverage shows a negative significant impact on firm value, suggesting that excessive debt increases financial risk, thereby reducing firm value. Moreover, the study indicates that leverage does not mediate the effects of transaction exposure, firm size, or liquidity on firm value. These results highlight the importance for companies to prioritize managing liquidity and capital structure effectively to optimize firm value. Excessive use of debt should be minimized to avoid diminishing profitability and reducing market value, especially for firms with high exposure to international transactions.
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 |