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: 36 / 36 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 00:01 UTC — 21 Oct 2026 07:23 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.
32 / 36 with data · 4 missing or unmatched. Percentages use all 36 selected publications.
32 / 36 with data · 4 missing or unmatched. Percentages use all 36 selected publications.
36 / 36 with data · 0 missing or unmatched. Percentages use all 36 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 | 8 | 8 | 8/8 | 8/8 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 12 | 12 | 12/12 | 12/12 |
| 2023 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | 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 | 17 | 8 | 8/8 | 8/8 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 48 | 12 | 12/12 | 12/12 |
| 2023 | All selected publications | 18 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 6 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 1 | 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 | 67 | 8 | 8/8 | 8/8 |
| 2020 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 9 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 86 | 12 | 12/12 | 12/12 |
| 2023 | All selected publications | 27 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 6 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 1 | 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 36 / 36 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): 2026-10-21T00:01:59.912783+00:00 — 2026-10-21T07:23:08.258938+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 | 36 | 36/36 |
| 2018 | All selected publications | 0 | 36 | 36/36 |
| 2019 | All selected publications | 4 | 36 | 36/36 |
| 2020 | All selected publications | 13 | 36 | 36/36 |
| 2021 | All selected publications | 10 | 36 | 36/36 |
| 2022 | All selected publications | 20 | 36 | 36/36 |
| 2023 | All selected publications | 49 | 36 | 36/36 |
| 2024 | All selected publications | 55 | 36 | 36/36 |
| 2025 | All selected publications | 37 | 36 | 36/36 |
| 2026 | All selected publications | 19 | 36 | 36/36 |
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 |
|---|---|
| 2018-11 | 1 |
| 2019-02 | 1 |
| 2019-07 | 1 |
| 2019-08 | 2 |
| 2019-10 | 4 |
| 2020-12 | 1 |
| 2021-02 | 1 |
| 2021-06 | 1 |
| 2022-01 | 1 |
| 2022-02 | 2 |
| 2022-03 | 1 |
| 2022-04 | 1 |
| 2022-06 | 3 |
| 2022-09 | 2 |
| 2022-11 | 1 |
| 2022-12 | 1 |
| 2023-05 | 1 |
| 2023-09 | 1 |
| 2023-12 | 2 |
| 2024-08 | 2 |
| 2024-12 | 2 |
| 2025-03 | 1 |
| 2025-07 | 1 |
| 2026-01 | 1 |
| 2026-06 | 1 |
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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 2 | 1 | 4 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 4 | 6 | 7 | 4/4 | 1.5 | 1.5 | 75.0 | 4/4 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 2 | 10 | 15 | 2/2 | 5.0 | 5.0 | 50.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 28 | 85 | 181 | 28/28 | 3.04 | 1.5 | 82.1 | 28/28 · 100.0% |
* Percentage among publications with a known citation count.
The study aims to examine the effect of an innovative work environment on the innovative work behaviour of employees. To broaden the concept of the study, related literature was reviewed. The study used a descriptive assessment and correlational research design and the population of the study was all employees from the two colleges (DWCL and DWCV). The data was gathered through research questionnaires and used inferential statistics to analyze the data. The study found that the innovative work environment and innovative work behaviour are high but not very high. The ANOVA result suggests that there is a significant correlation between an innovative work environment and the innovative work behaviour of employees. It recommends that nurturing innovative work behaviour is to nurture an innovative workplace. The study recognizes its limitation and recommends further investigation concerning different dimensions of innovative work environments and their effect on work performance.
The purpose of this study is to examine and analyze (1) the effect of transformational leadership on readiness to change, (2) the effect of transformational leadership on employee motivation, (3) the effect of readiness to change on employee performance, (4) the effect of employee motivation on employee performance, (5) the effect of transformational leadership on performance mediated by a readiness to change and (6) the effect of transformational leadership on employee performance mediated by employee motivation. The technique in this study uses a survey with 80 employees of PT. Lestari Main Karsa as a sample. The statistical method uses Partial Least Square (PLS). This study examines several hypotheses which include transformational leadership, readiness to change, employee motivation, and employee performance. The results of this study indicate that transformational leadership positively affects employee readiness to change. Transformational leadership also has a positive effect on employee motivation. The other hypotheses are that readiness to change has a positive effect on employee performance, and work motivation also has a positive effect. The mediating role of readiness to change and work motivation also has a positive effect on the relationship of transformational leadership to employee performance. Transformational leadership, readiness to change, and work motivation have a positive effect on performance. This study can be used as a guide for the company in improving employee performance.
This study aims to analyze the effects of human capital and organizational learning on employee performance with innovation behavior as a mediator. This study is conducted at a privately owned bank in Gorontalo City with a sample of 92 respondents. Researchers use purposive sampling with data collection technique that is questionnaires in Google Form. Data analysis is performed using SEM-PLS (Structural Equation Modeling Partial Least Square) with SmartPLS software version 3.0. The results of this study indicate that (1) human capital has positive effect on employee performance and innovation behavior, (2) organizational learning has positive effect on innovation behavior, (3) innovation behavior has positive effect on employee performance, and (4) innovation behavior mediates the effect of organizational learning on employee performance but cannot mediate human capital on employee performance.
The purpose of this study was to examine transformational leadership and organizational justice on employee performance with the role of job satisfaction as a mediation. This research was conducted on the employee of police officers are part of Indonesian police officers, especially located in Blitar, East Java, Indonesia with a total sample used in this study is 176 respondents. Questionnaires are used in this study for the data collection method, the data is analyzed using Structural Equation Model and Partial Least Square. The results show; (1) There is a positive and significant influence between transformational leadership on employee performance, (2) There is a positive and significant influence between transformational leadership on job satisfaction, and (3) There is a positive and significant influence between organizational justice on employee performance, (4) There is positive and significant influence between organizational justice towards job satisfaction, (5) There is positive and significant influence between job satisfaction on employee performance, (6) There is positive and significant influence between transformational leadership on employee performance through job satisfaction, (7) There is positive and no significant influence between organizational justice on employee performance through job satisfaction.
This research examines and analyzes the impact of Islamic Work Ethics and Transformational Leadership on Job Performance with Mediating Role of Intrinsic Motivation. The method used in this research is the Quantitative method through questionnaire responses. 40 respondents are used as a sample of this research. The data analysis method of this research is Structural Equation Model (SEM) which utilize Partial Least Square (PLS). The results of the data analytics in this research are: (1) The Islamic Work Ethic do not have any positive significant impact on Job Performance. (2) Islamic Work Ethic do not have any positive significant impact on the Intrinsic Motivation. (3) Transformational Leadership has a positive significant impact on Job Performance. (4) Transformational Leadership has a positive significant impact on Intrinsic Motivation. (5) Intrinsic Motivation has a positive significant impact on Job Performance. (6) Intrinsic Motivation does not mediate the relations between Islamic Work Ethics and Job Performance. (7) Intrinsic Motivation mediates the relations between Transformational Leadership and Job Performance
Access to clean and safe water remains a critical development priority under Sustainable Development Goal (SDG) 6. However, water service providers in Sub-Saharan Africa, including Kenya, continue to experience performance challenges associated with governance, infrastructure limitations, and leadership effectiveness. This study examined the moderating effect of employee engagement on the relationship between exemplary transformational leadership and the performance of selected water and sewerage companies in Kenya. Grounded in transformational leadership theory, the three-component theory of work engagement, and the balanced scorecard framework, the study adopted a positivist philosophy and a quantitative cross-sectional survey design. Data were collected from 328 employees drawn from 13 public water companies operating under the Athi Water Works Development Agency using structured questionnaires. Exemplary transformational leadership was measured through three practices—modeling the way, challenging the process, and empowering followers—while employee engagement was assessed through vigor, dedication, and absorption. Organizational performance was evaluated using indicators of service quality, economic efficiency, and operational sustainability. Descriptive statistics, Pearson correlation, and moderated multiple regression analysis were conducted using SPSS version 27. The findings revealed that exemplary transformational leadership and employee engagement significantly and positively influenced water company performance. Importantly, employee engagement significantly moderated the relationship between exemplary transformational leadership and performance (β = −0.689, p < .05), indicating a buffering effect in which leadership had a stronger impact under conditions of low engagement. The study contributes to leadership and public sector management literature by empirically validating the moderating role of employee engagement within Kenya’s water sector. It recommends integrating employee engagement strategies with leadership development initiatives to enhance service delivery, operational efficiency, and long-term sustainability in water utilities.
This study aims to examine the effect of empowering leadership on employee agility in the Indonesian banking sector, with knowledge sharing and perceived organizational support as mediating variables. A quantitative approach was employed using survey data collected from 322 employees of commercial banks in East Java, Indonesia. Data were analyzed with structural equation modeling (SEM) to test the hypothesized with SmartPLS 4 software. The study reveals that empowering leadership exerts a significant positive influence on employee agility, both directly and indirectly. Knowledge and perceived organizational support emerged as strong predictors of agility, while also serving as key mediating mechanisms. Specifically, empowering leadership enhances employee agility by fostering knowledge sharing and strengthening perceived organizational support, highlighting their central role in translating leadership practices into agile employee behaviors. Organizations should prioritize empowering leadership practices to cultivate agility among employees. Managers can achieve this by encouraging open knowledge sharing, creating supportive work environments, and recognizing employee contributions.
This study examines the influence of transformational leadership and organizational learning on employee performance, mediated by affective commitment, in Cement Company X, Rembang Regency. Using a quantitative approach with 163 respondents, data were analyzed through Structural Equation Modeling (SEM) with Partial Least Squares (PLS). The results indicate that both transformational leadership (? = 0.369, p < 0.001) and organizational learning (? = 0.265, p = 0.012) significantly enhance employee performance. Affective commitment partially mediates these relationships, with mediation effects of 0.129 (p = 0.035) for transformational leadership and 0.093 (p = 0.047) for organizational learning. Transformational leadership, measured through idealized influence, inspirational motivation, intellectual stimulation, and individualized consideration (Bass & Avolio, 1994), fosters emotional bonds (? = 0.490, p < 0.001), while organizational learning (Watkins & Marsick, 1993) strengthens employee competencies and affective ties (? = 0.352, p < 0.001). Affective commitment itself significantly boosts performance (? = 0.263, p = 0.019). These findings align with prior research (Park et al., 2022; Naim & Lenka, 2020) and highlight the dual pathways—direct and mediated—through which leadership and learning culture drive performance in Indonesia’s competitive cement industry. The study underscores the importance of fostering transformational leadership practices and a robust learning environment to cultivate employee engagement and achieve organizational goals.Keyowrd: Transformational leadership, Organizational learning, Affective commitment, Employee performance, PLS-SEM, Cement industry
The leadership of the agro-processing project entails applying leadership abilities, understanding of agriculture, and project management concepts to meet the project's goals while catering to the interests of stakeholders. Nevertheless, numerous agro-processing initiatives encounter financial and resource limitations, human resource management difficulties, technological and knowledge deficiencies, and leadership and decision-making hurdles. The research aimed to evaluate the influence of leadership styles of Laissez-Faire, Transformational and Transactional Leadership approach on performance of Agro-processing Projects in Musanze District, Rwanda. The research was based on Resource-Based View (RBV) theory. The research employed descriptive survey and correlational research methodologies. Structured questionnaires and interview guides were utilized to gather both quantitative and qualitative data from 208 participants, chosen using a mix of stratified, random, and purposive sampling, from a target population of 433 stakeholders involved in the SPF agricultural development initiative. The pilot study sought to improve the validity and reliability of the research instruments by pre-testing the questionnaire and interview guide on 21 participants, representing 10% of the sample size. Validity was verified via expert assessment, resulting in a content validity index of 0.76, while reliability was determined through the split-half method, attaining a Cronbach’s alpha coefficient of 0.90, indicating the instruments' reliability and suitability for data collection. Descriptive statistics including percentage, frequency, mean, and standard deviation, along with inferential statistics such as correlation and regression, were performed at a significance level of 0.05 using Stata/MP 13.0, while thematic content analysis of qualitative data was conducted for triangulation purposes. The results for three hypotheses were examined at an ? = 0.05 significance level, yielding the following outcomes: laissez-faire leadership (P = 0.000<0.05), transformational leadership (P = 0.000<0.05) and, transactional leadership (P = 0.000<0.05) does not significantly affect performance were all rejected. The research findings indicate that agricultural initiatives have greatly benefited from the adoption of improved leadership approaches specifically laissez-faire, transformational, and transactional to guarantee successful project execution and sustainability. It is suggested that the SPF project focus on inclusive leadership styles such as laissez-faire, transformational, and transactional to maintain success, while also investing in the training of their employees, particularly their project managers, inspiring workers, continuing to blend these leadership styles, and collaborating with research institutions for a promising future and advancement. Future studies ought to emphasize qualitative insights and long-term effects, exploring the impact of community participation, assessing the financial sustainability of agro-processing initiatives, and analyzing the consequences of climate change.
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.
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 |