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: 5 / 5 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 — 23 Oct 2026 11:33 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 | 3 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 10 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 7 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 17 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 14 | 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 5 / 5 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): 2026-10-21T07:22:43.948280+00:00 — 2026-10-23T11:33:30.169378+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 1 | 5 | 5/5 |
| 2023 | All selected publications | 5 | 5 | 5/5 |
| 2024 | All selected publications | 20 | 5 | 5/5 |
| 2025 | All selected publications | 4 | 5 | 5/5 |
| 2026 | All selected publications | 1 | 5 | 5/5 |
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 | 3 |
| 2023 | 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 |
|---|---|---|---|---|---|---|---|---|
| International Journal of Research in Business and Social Science SSBFNET | 5 | 17 | 31 | 5/5 | 3.4 | 3 | 100.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to analyze the perceived ease of use, perceived usefulness, and perceived benefits on interest in using Bank Syariah Indonesia mobile banking. The research method used is a quantitative approach. The sample size for this study was 250 respondents. Data were analyzed by structural equation modeling (SEM) and processed with AMOS 24.0. The results of the SEM analysis show that perceived usefulness has a significant positive impact on attitudes toward mobile banking use. Perceived Ease of Use has a positive and significant effect on the Perceived Usefulness of mobile banking. Perceived ease of use has no significant effect on attitudes toward using mobile banking. Perceived Usefulness has a positive and significant effect on Behavioral Intention to Use mobile banking. Therefore, attitudes toward using mobile banking have a significant positive impact on behavioral intentions to use mobile banking.
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.
This study purposed to analyze the application of an extended technology acceptance model (TAM) by combining the influence of brand equity and mobile web quality that are used to predict intention to use m-commerce, through perceived ease of use, perceived usefulness, and attitude toward using. The research was conducted on Indonesian citizens who have used service products on m-commerce Traveloka. The analytical method used is the structural equation modeling (SEM) with Lisrel 8.80 Software. Using a convenient sampling technique, 270 respondents were involved in the study. Only five of the nine hypotheses developed are significant, while the others are not. However, the current study discovers a new finding that brand equity significantly affects the attitude toward using m-commerce. The results of this study are quite different from Chi’s (2018) study, indicating that the model still needs to be reinvestigated using a different sample to test the model consistency.
This study aims to explore how subjective norms and perceptions of food safety influence people's behavioral intention to use and continue using delivery apps during the coronavirus pandemic. According to the TPB model, subjective norms were anticipated to be positively linked to both intention and continued behavior. The study's objective also was to ascertain the advantageous consequences of perceived food safety and intention on continued usage. The study used a quantitative approach, with a sample of 300 mobile food ordering app users in Yogyakarta selected using non-probability sampling. The data collection method was a validated and reliable questionnaire, and data analysis used SEM AMOS. The results showed that subjective norms and perceived food safety had a significant positive influence on behavioral intention and that behavioral intention and perceived food safety affected continued use. This study contributes to the existing literature on the benefits of subjective norms and perceived food safety on mobile app usage, and its findings have both theoretical and practical implications.
The objective of this study is first to investigate the benefits of digital payment toward switching consumer behavior in using the OVO application as a tool for payment transactions. The involved variables are perceived usefulness, perceived ease of use, self-efficacy, security, and trust, switching intention. This study used the quantitative approach and study design used in this research, which is explanatory research. the population in this study consisted of university students who had previously used the OVO application for payment transactions in Yogyakarta. The sampling technique used was non-probability sampling, with the most significant number of samples being 300 people. The data collection technique uses a questionnaire that has been tested for validity and reliability. The data analysis technique used is Amos. Findings show that all hypotheses are accepted. It means all users believe that OVO digital payments benefit users in payment transactions. from the research conducted, the results showed that all relationships between hypotheses are positive and can be assessed from the minimum score if C.R showed a value more significant than 1.96 and less than 0.05 to the p-value, then there is a positive.
This study aims to analyze the perceived ease of use, perceived usefulness, and perceived benefits on interest in using Bank Syariah Indonesia mobile banking. The research method used is a quantitative approach. The sample size for this study was 250 respondents. Data were analyzed by structural equation modeling (SEM) and processed with AMOS 24.0. The results of the SEM analysis show that perceived usefulness has a significant positive impact on attitudes toward mobile banking use. Perceived Ease of Use has a positive and significant effect on the Perceived Usefulness of mobile banking. Perceived ease of use has no significant effect on attitudes toward using mobile banking. Perceived Usefulness has a positive and significant effect on Behavioral Intention to Use mobile banking. Therefore, attitudes toward using mobile banking have a significant positive impact on behavioral intentions to use mobile banking.
This study aims to explore how subjective norms and perceptions of food safety influence people's behavioral intention to use and continue using delivery apps during the coronavirus pandemic. According to the TPB model, subjective norms were anticipated to be positively linked to both intention and continued behavior. The study's objective also was to ascertain the advantageous consequences of perceived food safety and intention on continued usage. The study used a quantitative approach, with a sample of 300 mobile food ordering app users in Yogyakarta selected using non-probability sampling. The data collection method was a validated and reliable questionnaire, and data analysis used SEM AMOS. The results showed that subjective norms and perceived food safety had a significant positive influence on behavioral intention and that behavioral intention and perceived food safety affected continued use. This study contributes to the existing literature on the benefits of subjective norms and perceived food safety on mobile app usage, and its findings have both theoretical and practical implications.
The objective of this study is first to investigate the benefits of digital payment toward switching consumer behavior in using the OVO application as a tool for payment transactions. The involved variables are perceived usefulness, perceived ease of use, self-efficacy, security, and trust, switching intention. This study used the quantitative approach and study design used in this research, which is explanatory research. the population in this study consisted of university students who had previously used the OVO application for payment transactions in Yogyakarta. The sampling technique used was non-probability sampling, with the most significant number of samples being 300 people. The data collection technique uses a questionnaire that has been tested for validity and reliability. The data analysis technique used is Amos. Findings show that all hypotheses are accepted. It means all users believe that OVO digital payments benefit users in payment transactions. from the research conducted, the results showed that all relationships between hypotheses are positive and can be assessed from the minimum score if C.R showed a value more significant than 1.96 and less than 0.05 to the p-value, then there is a positive.
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.
This study purposed to analyze the application of an extended technology acceptance model (TAM) by combining the influence of brand equity and mobile web quality that are used to predict intention to use m-commerce, through perceived ease of use, perceived usefulness, and attitude toward using. The research was conducted on Indonesian citizens who have used service products on m-commerce Traveloka. The analytical method used is the structural equation modeling (SEM) with Lisrel 8.80 Software. Using a convenient sampling technique, 270 respondents were involved in the study. Only five of the nine hypotheses developed are significant, while the others are not. However, the current study discovers a new finding that brand equity significantly affects the attitude toward using m-commerce. The results of this study are quite different from Chi’s (2018) study, indicating that the model still needs to be reinvestigated using a different sample to test the model consistency.
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 |