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: 41 / 41 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 — 25 Oct 2026 10:27 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.
41 / 41 with data · 0 missing or unmatched. Percentages use all 41 selected publications.
41 / 41 with data · 0 missing or unmatched. Percentages use all 41 selected publications.
41 / 41 with data · 0 missing or unmatched. Percentages use all 41 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 | 41 | 41 | 41/41 | 41/41 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 68 | 41 | 41/41 | 41/41 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 80 | 41 | 41/41 | 41/41 |
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 41 / 41 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 — 2026-10-25T10:27:07.023386+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 | 41 | 41/41 |
| 2018 | All selected publications | 0 | 41 | 41/41 |
| 2019 | All selected publications | 0 | 41 | 41/41 |
| 2020 | All selected publications | 0 | 41 | 41/41 |
| 2021 | All selected publications | 0 | 41 | 41/41 |
| 2022 | All selected publications | 0 | 41 | 41/41 |
| 2023 | All selected publications | 0 | 41 | 41/41 |
| 2024 | All selected publications | 8 | 41 | 41/41 |
| 2025 | All selected publications | 48 | 41 | 41/41 |
| 2026 | All selected publications | 24 | 41 | 41/41 |
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 |
|---|---|
| 2024 | 41 |
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 | 41 | 68 | 80 | 41/41 | 1.66 | 1 | 73.2 | 41/41 · 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.
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 growth of the cosmetics industry in the world has increased rapidly in recent decades. Cosmetics manufacturers face intense competitive pressure, both from halal cosmetics products and regular cosmetics products. The existence of this intense competition requires companies to be responsive to consumer needs, so companies must ensure that their product offerings are aligned with consumer demand, to encourage consumer adoption. As explanatory quantitative research, the purpose of this research is to figure out the characteristics of muslim women Generasion Z and determine the effect of Religiosity, Halal Label, Eco Label and Halal Green Perception on Customer Loyalty, both directly and indirectly. The object of this research is a Muslim women Generation Z who uses halal green cosmetics in Malang City with a total sampel of 200 respondents.The technique of collecting data using a closed questionnaire and analyzed with SmartPLS 3.0. As a result, religiosity has no significantly influence on customer loyalty, but Halal Label and Eco Label significantly affect customer loyalty. Furthermore, religiosity, halal label and eco label have a directly positive impact on halal green perceptions. It is worth noting that Halal Green Perception also indirectly plays a role by mediating between religiosity, halal label and eco label on customer loyalty. Although religiosity does not play a direct role in influencing Customer Loyalty, it does not mean that these products cannot attract Generation Z's interest. It should be noted that although the level of Religiosity of Generation Z varies, this generation can still choose halal green cosmetics based on considerations of product quality assurance such as halal label and eco label.
This study explores the critical role of dynamic capabilities in enhancing business performance among small and medium-sized enterprises (SMEs) in the café sector of Malang City, Indonesia. Specifically, it examines how dynamic capabilities influence both explorative and exploitative innovations and how these innovations, in turn, affect business performance. Using a quantitative approach, data were collected from 110 café owners through structured questionnaires. The results indicate that dynamic capabilities significantly impact both explorative and exploitative innovations. Explorative innovation, which involves the development of new products and the exploration of new markets, was found to have a substantial positive effect on business performance. Conversely, exploitative innovation, which focuses on refining and improving existing products and processes, showed a positive but less pronounced impact. The findings underscore the importance of dynamic capabilities in fostering innovation and improving business performance in a competitive environment. This study offers practical insights for café owners and entrepreneurs in the food and beverage sector, highlighting the need for continuous development of dynamic capabilities and a balanced approach to innovation. Future research is encouraged to expand on these findings by exploring additional factors and utilizing longitudinal data to capture the evolving nature of these relationships.
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.
In the era of globalization and increasing awareness of health and product halal status, studies on halal product purchasing decisions are becoming increasingly important. The demand for halal products continues to rise along with the strengthening of consumers' religious beliefs through knowledge about the importance of halal. This research focuses on a halal product, Bipang Jangkar in Pasuruan, East Java, Indonesia, which was affected by a viral debate regarding Bipang Ambawang, a West Kalimantan specialty made from pork, after it was promoted as a holiday food by President Jokowi in 2021. Concerns arose that this debate could influence the sales of Bipang Jangkar, despite being very different from Bipang Ambawang. This study aims to clarify the role of halal awareness as a mediator in the influence of religiosity and halal logo on purchasing decisions. The respondents in this study were Bipang Jangkar consumers in Pasuruan. A total of 170 samples were obtained through online questionnaires. The data in this study were analyzed using SEM-PLS through the SmartPLS 3 program. The results of this study indicate that all hypotheses are accepted, except for the influence of religiosity on purchasing decisions and the role of halal awareness as a mediator of the halal logo's influence on purchasing decisions.
Firm value is a very important because the success of management in managing a firm is reflected in the firm value. With the uncertainty of global economic conditions in recent years, Companies have faced challenges in maintaining or increasing firm value. Companies must have a strategy in order to increase the firm value by paying attention to financial and non -financial factors. This study aims to test and analyze the effect of ESG performance, capital structure, firm size on firm value with profitability as a mediation variable. Sampling techniques in this study uses saturated sample because all populations included in the sample criteria that used in research as many as 15 companies listed in the ESG Leaders index for the 2020-2023 period. Research data analysis using multiple linear regression methods and path analysis with SPSS programs. The results showed that ESG's performance, capital structure had a significant positive effect on firm value while firm size had a significant negative effect on the firm's value. Profitability as a mediation variable could mediate the effect of ESG performance, capital structure, firm size on the firm value.
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 |