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: 432 / 432 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 — 28 Oct 2026 11:25 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.
432 / 432 with data · 0 missing or unmatched. Percentages use all 432 selected publications.
432 / 432 with data · 0 missing or unmatched. Percentages use all 432 selected publications.
432 / 432 with data · 0 missing or unmatched. Percentages use all 432 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 |
|---|---|---|---|---|---|
| 2017 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2018 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2019 | All selected publications | 16 | 16 | 16/16 | 16/16 |
| 2020 | All selected publications | 45 | 45 | 45/45 | 45/45 |
| 2021 | All selected publications | 60 | 60 | 60/60 | 60/60 |
| 2022 | All selected publications | 130 | 130 | 130/130 | 130/130 |
| 2023 | All selected publications | 99 | 99 | 99/99 | 99/99 |
| 2024 | All selected publications | 55 | 55 | 55/55 | 55/55 |
| 2025 | All selected publications | 17 | 17 | 17/17 | 17/17 |
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2018 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2019 | All selected publications | 13 | 16 | 16/16 | 16/16 |
| 2020 | All selected publications | 48 | 45 | 45/45 | 45/45 |
| 2021 | All selected publications | 71 | 60 | 60/60 | 60/60 |
| 2022 | All selected publications | 141 | 130 | 130/130 | 130/130 |
| 2023 | All selected publications | 152 | 99 | 99/99 | 99/99 |
| 2024 | All selected publications | 96 | 55 | 55/55 | 55/55 |
| 2025 | All selected publications | 20 | 17 | 17/17 | 17/17 |
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2018 | All selected publications | 22 | 6 | 6/6 | 6/6 |
| 2019 | All selected publications | 35 | 16 | 16/16 | 16/16 |
| 2020 | All selected publications | 114 | 45 | 45/45 | 45/45 |
| 2021 | All selected publications | 163 | 60 | 60/60 | 60/60 |
| 2022 | All selected publications | 335 | 130 | 130/130 | 130/130 |
| 2023 | All selected publications | 257 | 99 | 99/99 | 99/99 |
| 2024 | All selected publications | 111 | 55 | 55/55 | 55/55 |
| 2025 | All selected publications | 22 | 17 | 17/17 | 17/17 |
| 2026 | All selected publications | 3 | 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 432 / 432 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): 2026-10-21T07:22:43.073795+00:00 — 2026-10-28T11:25:37.982364+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 | 432 | 432/432 |
| 2018 | All selected publications | 0 | 432 | 432/432 |
| 2019 | All selected publications | 2 | 432 | 432/432 |
| 2020 | All selected publications | 6 | 432 | 432/432 |
| 2021 | All selected publications | 28 | 432 | 432/432 |
| 2022 | All selected publications | 79 | 432 | 432/432 |
| 2023 | All selected publications | 204 | 432 | 432/432 |
| 2024 | All selected publications | 330 | 432 | 432/432 |
| 2025 | All selected publications | 267 | 432 | 432/432 |
| 2026 | All selected publications | 149 | 432 | 432/432 |
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 |
|---|---|
| 2017 | 2 |
| 2018 | 6 |
| 2019 | 16 |
| 2020 | 45 |
| 2021 | 60 |
| 2022 | 130 |
| 2023 | 99 |
| 2024 | 55 |
| 2025 | 17 |
| 2026 | 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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 3 | 4 | 6 | 3/3 | 1.33 | 1 | 66.7 | 3/3 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 39 | 43 | 89 | 39/39 | 1.1 | 1 | 64.1 | 39/39 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 36 | 36 | 83 | 36/36 | 1.0 | 1.0 | 61.1 | 36/36 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 354 | 466 | 887 | 354/354 | 1.32 | 1.0 | 74.3 | 354/354 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to identify the convergence of financial sector development and the effect of macroeconomic variables on each financial sector development indicator in Asia. The sample used consists of 24 countries in Asia during the period 2010-2018. Identification of convergence using ?-convergence absolute and conditional. Indicators are used to represent the development of the financial sector namely private credit, liquid liabilities, stock market capitalization, and stock market turnover. Empirical evidence was based on the Generalized Method of Moment (GMM) estimation technique. The results showed that there was convergence in Asia and that macroeconomic variables had a significant effect on the development of the financial sector.
This study aims to determine the effect of six-factor (market return, firm size, value, profitability, investment, human capital) on excess return in companies with shares listed in LQ45 for the 2015-2019 period. The population of this study consists of 45 LQ45 companies listed on the Indonesia Stock Exchange (IDX). The purposive sampling method is the sample selection method that is used in this study. As a result, it shows that there are 26 companies that fit the criteria and taken as samples. Furthermore, the data analysis method that is used in this study is the panel data regression model. Based on the results of this study, it is showed that partially, market return (X1), firm size (X2), profitability (X4), and investment (X5) have a significant positive effect on the excess return of companies listed in LQ45 for the 2015-2019 period. Whereas, value (X3) and human capital (X6) do not have a significant effect on the excess return of companies listed in LQ45 for the 2015-2019 period partially. Another result also shows that simultaneously or as a whole, six-factors (market return, firm size, value, profitability, investment, human capital) have a significant effect on the excess return of companies listed in LQ45 for the 2015-2019 period.
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.
The growth of capital market investors and financial literacy has increased every year and investors in making an investment decision However, financial theory argues that there are psychological biases that can influence investors in making inappropriate investment decisions. This study aims to examine the influence and analyze Overconfidence, Loss Aversion and Herding Bias on investment decisions and Financial Literacy as a mediating variable. Financial Literacy is used as mediating variable in the relationship of Overconfidence, Loss Aversion. However Herding Bias variables on Investment Decisions. This study uses non-probability sampling techniques to as many as 163 investors stock in Yogyakarta as respondents. Findings/Results: the study shows that overconfidence, loss aversion and herding bias have a significant effect on investment decisions and overconfidence, loss aversion and herding bias are not mediated by financial literacy in making investment decisions.
The rapid development of immersive technologies, including Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), presents novel opportunities to enhance tourist experiences and promote sustainable village tourism. This study is particularly significant as Generation Z, as digitally savvy travellers, plays a strategic role in shaping sustainable tourism practices, especially within rural destinations. The research aims to examine the influence of Generation Z’s awareness of immersive technologies on their positive attitudes toward village tourism, visit intentions, and perceptions of the role of immersive technologies in supporting sustainable tourism principles. A quantitative approach was employed using Partial Least Squares Structural Equation Modelling (PLS-SEM). Data were collected through structured questionnaires from 150 Generation Z respondents across various regions who have previously interacted with immersive technologies and plan to visit village tourism destinations. The findings indicate that awareness of immersive technologies significantly enhances positive attitudes toward village tourism, which in turn influences visit intentions and perceptions of immersive technologies’ role in fostering community-oriented sustainable tourism. These results underscore that integrating immersive technologies not only enriches tourist experiences but also supports cultural preservation, local economic empowerment, and sustainable tourism practices. Practically, the findings provide guidance for village tourism managers, policymakers, and stakeholders in designing effective digital strategies to develop community-based sustainable tourism initiatives.
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 impact of Foreign Direct Investment (FDI) on economic growth in South Africa over the period 2000 to 2023. An Ordinary Least Squares (OLS) regression model was employed to assess the relationship between FDI inflows and Gross Domestic Product (GDP), while controlling for key macroeconomic variables. The findings reveal that FDI exerts a significant positive influence on economic performance, with a 1% increase in FDI inflows associated with a 1.93% rise in GDP. However, high inflation exerts a detrimental effect, with a coefficient of -1.99, highlighting the importance of macroeconomic stability. The analysis also indicates that trade openness contributes positively to economic growth, while political risk remains a substantial deterrent to investment, as shown by a coefficient of -3.11. These findings underline the importance of maintaining a stable political environment, managing inflation effectively, and enhancing trade liberalisation to maximise the benefits of FDI. Policy recommendations include strengthening regulatory frameworks and fostering trade openness.
This study investigates the impact of Information Technology (IT) and Organizational Culture on Employee Performance, with Job Satisfaction as a mediating variable, and Task-Technology Fit as a moderating factor. Conducted in the context of the Direktorat Jenderal Perbendaharaan (DJPB) in East Java, the study analyzes the relationships between these variables and their collective influence on employee performance. Data was collected from 297 employees using an online questionnaire, with a quantitative approach based on Structural Equation Modeling (SEM) for data analysis. The study finds that both IT and Organizational Culture significantly enhance Employee Performance, with Job Satisfaction mediating these effects. Additionally, Task-Technology Fit moderates the relationship between IT and Employee Performance, as well as between Organizational Culture and Employee Performance. The study emphasizes the importance of aligning technology with tasks and fostering a positive organizational culture to enhance job satisfaction, which in turn boosts employee performance. The results contribute to the understanding of how IT, Organizational Culture, Job Satisfaction, and Task-Technology Fit interrelate to influence performance, providing practical implications for improving human resource management and operational efficiency in public sector organizations.
This study looks at the effect of accounting flexibility on earnings quality in public companies listed on the Indonesia Stock Exchange during the period 2016 to 2019. This study uses two models to measure earnings quality, namely ERC and earnings persistence. The results showed that accounting flexibility, namely the limitations of companies to carry out accrual earnings management, can reduce earnings quality, as shown by the abnormal accrual model which shows a significant positive coefficient direction, and for the ERC model and earnings persistence which shows a negative and significant coefficient direction. The higher the level of accrual earnings management up to a certain limit point, the more incentive company managers will have to increase accounting flexibility and switch to real earnings management (Xu and Yang, 2013; Masri, 2018). Theoretical contributions show that the higher the level of accrual earnings management up to a certain limit point, the more incentive company managers will have to increase accounting flexibility and switch to real earnings management (Xu and Yang, 2013; Masri, 2018; Purba, Surya, Joshi & Tiagy, 2023). The Implications of this research show that accounting flexibility is carried out when abnormal accruals reach the highest limit point reflected in accounting choices in net operating assets in the balance sheet, so in this case it results in a low level of earnings informativeness and earnings persistence.
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 |