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: 17 / 17 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 — 22 Oct 2026 12:56 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.
16 / 17 with data · 1 missing or unmatched. Percentages use all 17 selected publications.
16 / 17 with data · 1 missing or unmatched. Percentages use all 17 selected publications.
17 / 17 with data · 0 missing or unmatched. Percentages use all 17 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 17 | 17 | 17/17 | 17/17 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 53 | 17 | 17/17 | 17/17 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 92 | 17 | 17/17 | 17/17 |
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 17 / 17 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): 2026-10-21T07:22:43.927206+00:00 — 2026-10-22T12:56:30.842375+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 | 17 | 17/17 |
| 2018 | All selected publications | 0 | 17 | 17/17 |
| 2019 | All selected publications | 0 | 17 | 17/17 |
| 2020 | All selected publications | 0 | 17 | 17/17 |
| 2021 | All selected publications | 0 | 17 | 17/17 |
| 2022 | All selected publications | 4 | 17 | 17/17 |
| 2023 | All selected publications | 21 | 17 | 17/17 |
| 2024 | All selected publications | 47 | 17 | 17/17 |
| 2025 | All selected publications | 14 | 17 | 17/17 |
| 2026 | All selected publications | 6 | 17 | 17/17 |
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 |
|---|---|
| 2022 | 17 |
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 | 17 | 53 | 92 | 17/17 | 3.12 | 3 | 76.5 | 17/17 · 100.0% |
* Percentage among publications with a known citation count.
Communication and information technology have encouraged the use of e-learning systems in the education world. Even the application of the system has become a must in this COVID-19 pandemic health protocol. Nevertheless, it still needs to be observed, whether the consumers would keep using the e-learning system in the future. This study aims to see the effect of interaction variables and learner characteristic toward perceived usefulness and perceived satisfaction on e-learning system that has been used, with the effect of continuance intention toward the system in the future. To answer the purpose of this study, there is a research model has been developed which includes seven hypotheses. For the research object, the researcher chose non-government-owned colleges in Jakarta with the students as the sample chosen by purposive sampling technique. The result of this research shows those seven hypotheses accepted with the significant level at 1%, as well as 5%. It means each of the interaction variables and learning characteristics significantly direct and indirect influence the perceived satisfaction variable as well as the perceived usefulness variable. Moreover, it is proven that perceived usefulness is a significant determinant toward perceived satisfaction, even both of them significantly direct influence continuance intention at e-learning system that has been used.
The proliferation of technology has innovated new ways of saving and investing money: online savings and investment platforms [OSIPs]. Predicting the intention to adopt Fintech has triggered the interest of many researchers in academia and industries. The primary objective of this study was to examine factors influencing the intention to adopt OSIPs in Nigeria by using data gathered from 640 digitally active citizens from selected cities in Nigeria. Reliability and validity tests were conducted through construct reliability and discriminant validity, respectively, through WarpPLS. Data were computed with the Statistical Package for the Social Sciences (version) 24 and analyzed with structural equation modeling via WarpPLS. The findings of this study showed that performance expectancy, effort expectancy, and social influence significantly affect attitude while facilitating conditions predict intention to adopt. It was also found that attitude significantly influences the intention to adopt OSIPs. The paper also discusses the study’s research limitations and presents implications for theory and practice.
There has been limited study from a southern-African perspective investigating factors that affect the adoption of e-banking specific to small and medium enterprises (SMEs) in developing African economies. To date, little is known about SME uptake of e-banking in the southern African common monetary area (CMA), comprising South Africa, Lesotho, Namibia, and Eswatini. This knowledge gap is problematic for banks in providing SME support for the transition to e-banking, given the current move by banks toward embracing digital strategies. This study focused on a single bank with a large footprint in the CMA, intending to add to the body of academic knowledge regarding the adoption of e-banking services by SMEs. It employed a qualitative methodology involving one-on-one, semi-structured, open-ended interviews with purposefully selected Bank X staff in each country of the CMA, using the literature reviewed to identify themes relevant to the proposed conceptual model. The conclusions of this research have led to a framework for e-banking adoption. A framework such as this may positively impact the profitability and sustainability of an SME by ensuring the adoption of e-banking services and utilization of available financial products to improve business opportunities via the e-banking channels of Bank X.
This study aims to examine the Technology Acceptance Model (TAM) for QRIS usage in SMEs in Indonesia. We employed Partial Least Square Structural Equation Modelling (PLS-SEM) with a first-order reflective model to analyze the data. The dataset contains 107 SMEs in Medan, Indonesia (n = 107). There are four constructs in the model in this study, namely: perceived usefulness, perceived ease of use, attitude toward using, and behavioral intention to use. After evaluating measurement models and structural models known to meet the criteria, we can conclude the results of the data analysis. In general, all variables positively affect other variables in this model, although one of them is insignificant. The results indicate that perceived usefulness is positive and significantly affects attitude toward using and behavioral intention to use. At the same time, attitude toward using is also positive and significantly affects behavioral intention to use. Furthermore, perceived ease of use is also shown to have a positive and significant effect on attitude toward using and perceived usefulness. However, perceived ease of use insignificantly affects behavioral intention to use, although it still positively affects the behavioral intention to use. The findings of this study provide some crucial implications for SMEs and the provider of QRIS. Since the results indicate welcoming QRIS usage, the socialization of QRIS needs to be more massive to reach the vast majority of Indonesian SMEs in Indonesia.
The development of information technology has changed the business model of firms in the industry that are in contact with technology. One of them is in the music industry, which currently has penetrated the online platform with a series of accompanying issues. This study uses a conceptual approach to Technology Acceptance Model to understand this relationship. Although in fact similar research has been carried out by a number of researchers, this topic remains an interesting object to study considering that technology acceptance cannot be separated from the environment in which consumers are located. This research was conducted with a quantitative approach to test the research hypotheses using data obtained from questionnaires distributed to 102 respondents spread across the Yogyakarta area. This study found that perceived usefulness and perceived price do not have a significant influence on perceived value. On the other hand, perceived playfulness and perceived ease of use have a significant influence on perceived value. This finding emphasizes that the online music business is more in touch with entertainment products. With respondents who are dominated by young people in a developing country, it is shown that pleasure is a highly prioritized part of overcoming other considerations, especially price and usability. Another finding is that the greater the perceived value of online music, the higher the intention in purchasing the product would be. This study adds to the literature and information about how consumers respond in different regions (Yogyakarta, Indonesia) as one the developing countries on the factors that affect the perceived value and purchase intention, thus it can be used to test the generality of the results of previous studies.
The proliferation of technology has innovated new ways of saving and investing money: online savings and investment platforms [OSIPs]. Predicting the intention to adopt Fintech has triggered the interest of many researchers in academia and industries. The primary objective of this study was to examine factors influencing the intention to adopt OSIPs in Nigeria by using data gathered from 640 digitally active citizens from selected cities in Nigeria. Reliability and validity tests were conducted through construct reliability and discriminant validity, respectively, through WarpPLS. Data were computed with the Statistical Package for the Social Sciences (version) 24 and analyzed with structural equation modeling via WarpPLS. The findings of this study showed that performance expectancy, effort expectancy, and social influence significantly affect attitude while facilitating conditions predict intention to adopt. It was also found that attitude significantly influences the intention to adopt OSIPs. The paper also discusses the study’s research limitations and presents implications for theory and practice.
This paper examines the factors that influence the intention to use FMIS in Indonesia’s local governments, especially in East Java region. The study model used the Technology Acceptance Model (TAM) that focuses on two specific salient beliefs-perceived ease of use and perceived usefulness. However, this has not discouraged researchers from incorporating additional constructs to the original model in their quest for increased predictive power. Here, an attempt is made to explain local governments' intention to use FMIS. Besides perceived ease of use and perceived usefulness, compatibility, external technical support, and management support are included in an extended TAM. The research data was obtained through questionnaires to 180 respondents of planning and financial managers at 9 local governments of the East Java region. The data analysis method used SEM-PLS with the SmartPLS 3.0 application. The results of this study showed that perceived usefulness and perceived ease of use are influenced by compatibility, external technical support, and management support. Compatibility also influenced intentions to use FMIS, and perceived ease of use influenced perceived usefulness. Intention to use FMIS was also affected by perceived usefulness and perceived ease of use. Lastly, perceived usefulness and perceived ease of use did not create a mediating effect between external variables and intention to use FMIS. This study concludes that TAM and external variables affect interest in using FMIS.
There has been limited study from a southern-African perspective investigating factors that affect the adoption of e-banking specific to small and medium enterprises (SMEs) in developing African economies. To date, little is known about SME uptake of e-banking in the southern African common monetary area (CMA), comprising South Africa, Lesotho, Namibia, and Eswatini. This knowledge gap is problematic for banks in providing SME support for the transition to e-banking, given the current move by banks toward embracing digital strategies. This study focused on a single bank with a large footprint in the CMA, intending to add to the body of academic knowledge regarding the adoption of e-banking services by SMEs. It employed a qualitative methodology involving one-on-one, semi-structured, open-ended interviews with purposefully selected Bank X staff in each country of the CMA, using the literature reviewed to identify themes relevant to the proposed conceptual model. The conclusions of this research have led to a framework for e-banking adoption. A framework such as this may positively impact the profitability and sustainability of an SME by ensuring the adoption of e-banking services and utilization of available financial products to improve business opportunities via the e-banking channels of Bank X.
This study examines the effect of perceived ease of use and perceived security on repurchase intention mediated by the trust of e-commerce marketplace users in Samarinda City. This research was conducted on 150 users of the e-commerce marketplace. Data analysis uses partial least square (SEM-PLS) structural equation modeling with the Smart-PLS 3.0. The results showed that perceived ease of use significantly affected repurchase intention, but perceived security had no significant effect. This study also shows that trust successfully mediates the effect of perceived ease of use and perceived security on repurchase intention. From this research, it is suggested that e-commerce marketplace companies continue to innovate so that the trust felt by users increases. According to the findings of this study, e-commerce marketplace companies should continue to innovate to increase user trust.
This study aims to determine the effect of promotional attractiveness, perception of benefits and ease of perception on the interest in using e-wallets. The population in this study is the entire developed village community in Sleman Regency. The number of samples used was as many as 150 respondents. The sampling method used is convenience sampling. Data collection using survey method through questionnaires distributed using google form. Data analysis techniques were implemented using multiple linear regression analysis techniques. The multiple linear regression analysis results show that the attractiveness of promotions, the precept of benefits and the perception of convenience positively and significantly affect the interest in using e-wallets.
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 |