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: 13 / 13 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 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.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 selected publications.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 selected publications.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 8 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 11 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 21 | 5 | 5/5 | 5/5 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 16 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 23 | 6 | 6/6 | 6/6 |
| 2023 | All selected publications | 23 | 5 | 5/5 | 5/5 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 3 | 1 | 1/1 | 1/1 |
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 13 / 13 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): 2026-10-21T07:22:43.096202+00:00 — 2026-10-23T10:27:54.293279+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 | 13 | 13/13 |
| 2018 | All selected publications | 0 | 13 | 13/13 |
| 2019 | All selected publications | 0 | 13 | 13/13 |
| 2020 | All selected publications | 0 | 13 | 13/13 |
| 2021 | All selected publications | 0 | 13 | 13/13 |
| 2022 | All selected publications | 2 | 13 | 13/13 |
| 2023 | All selected publications | 11 | 13 | 13/13 |
| 2024 | All selected publications | 16 | 13 | 13/13 |
| 2025 | All selected publications | 21 | 13 | 13/13 |
| 2026 | All selected publications | 15 | 13 | 13/13 |
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 |
|---|---|
| 2021 | 1 |
| 2022 | 6 |
| 2023 | 5 |
| 2025 | 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 |
|---|---|---|---|---|---|---|---|---|
| International Journal of Research in Business and Social Science SSBFNET | 13 | 43 | 65 | 13/13 | 3.31 | 3 | 100.0 | 13/13 · 100.0% |
* Percentage among publications with a known citation count.
The amount of e-wallet providers in Indonesia is so many, so there is intense competition between each e-wallet provider. The tighter competition for e-wallet, makes users not only loyal to one type of e-wallet and makes users switch brands or providers in using an e-wallet. This study aims to investigate the factors that influence e-service quality on e-loyalty mediated by e-trust and brand image. This research is categorized as explanatory research. Respondents in this study were users of the OVO e-wallet application in Malang City, determining the number of samples in this study using a purposive sampling technique with a sample of 200 respondents. The method of collecting data is using a questionnaire, the data is analyzed using PLS-SEM. The results showed that e-service quality had no significant effect on e-loyalty. E-service quality has a significant effect on e-trust, e-trust has a significant effect on e-loyalty. E-service quality has a significant effect on brand image, brand image has a significant effect on e-loyalty. E-trust and brand image can play a fully mediating role in the relationship between e-service quality and e-loyalty. OVO is expected to continue to maintain and increase e-trust because it is proven in this research that e-trust has the greatest influence on e-loyalty so that it can be a competitive advantage for OVO. Keywords: e-service quality, e-loyalty, e-trust, brand image.
This study aims to examine the effect of brand experience and service quality on customer loyalty mediated by customer satisfaction at BCA. This study uses explanatory research with a quantitative approach. The population in this study were all customers who transacted at BCA Branch Gresik. The study employed the purposive sampling technique. The sample in the study was 160 BCA customer respondents. Data was collected through surveys, documentation, and the use of Likert scales to test instruments. The data was analyzed using Structural Equation Model Partial Least Squares (SEM-PLS) modeling. The results showed that brand experience has no significant effect on customer satisfaction. Service quality has a positive and significant effect on customer satisfaction. In addition, customer satisfaction also has a positive and significant effect on customer loyalty. Customer satisfaction can mediate the relationship between brand experience and service quality on customer loyalty. The findings of this study suggest that BCA Gresik should provide a good experience for customers and improve service quality during customer transactions at the Bank. By increasing these two things, customers will feel satisfied which creates loyal customers.
This study aims to determine the effect of service quality and perceived value on customer loyalty as mediated by restaurant customer satisfaction in Tuban Regency. The population in this study was customers who have visited and enjoyed restaurants in Tuban Regency. The total samples in this study were 165 respondents using purposive sampling. The analysis method used is Partial Least Squares (PLS). The Result showed that service quality and perceived value positively and significantly impact customer loyalty. Then, service quality and perceived value significantly impact customer satisfaction. The finding of this study also revealed that Customer satisfaction has a positive and significant effect on customer loyalty. Customer satisfaction partially mediates the effects of service quality and perceived value on customer loyalty. Therefore, the restaurant needs to maintain and improve service quality and perceived value, which in turn will increase customer loyalty.
This study aims to investigate the effect of e-service quality, e-trust, and e-loyalty on Shopee application users Gen Z in Malang. This observation demographic consists of Shopee application users in Malang City, which is included in the Z generation. This research is included in the category of explanatory research using a quantitative approach. Primary data is obtained from the facts collected by sending questionnaires to 150 respondents who have used the Shopee application, as well as using the Gform application to distribute data. Data analysis using partial least squares (SEM-PLS) 3.3 software to test the validity, reliability, path analysis, and testing of mediation variables. The findings of this study indicate that e-service quality has a positive effect and directly affects e-loyalty. The direct effect of e-service quality on e-trust also has a positive and significant influence. The findings of this study also show that e-trust can mediate the influence of e-service quality on e-loyalty. Conclusion In the results of this study, it is expected that the Shopee e-commerce application will continue to be able to improve the quality of goods and services to the maximum, which is useful for attracting customers to be loyal. Increasing e-service quality provided by service providers, especially e-commerce, will affect customer loyalty and encourage repeated use of applications.
This study examines the relationship between the green experience, loyalty, perceived value, and satisfaction among Gen Z consumers at Retrorika Coffee Bar & Resto Batu in Indonesia. The population in this study is consumer Gen Z of Retrorika Coffee Bar & Resto Batu. This research is explanatory research with a quantitative approach which collects data by distributing questionnaires to 140 respondents. Data analysis used a partial least square (SEM-PLS). The results showed that the green experience has an indirect effect on loyalty. Perceived value had a significant effect on loyalty. The result of this study also shows that perceived value fully mediates the effect of the green experience on loyalty, and satisfaction has no mediation effect. The results suggest that green cafés and restaurants can enhance their distinctive green experience, and continuously innovate in offering and educating customers about green products. By improving their concept, these establishments can effectively cultivate customer loyalty.
This study aims to analyze the effect of servicescape on revisit intention at fine dining restaurants in Malang City, by reviewing the mediating role of customer satisfaction and restaurant reputation. The restaurant industry, especially fine dining, faces major challenges due to tight competition triggered by the increasing number of restaurants in Indonesia. This phenomenon requires restaurants to offer more than just food and drinks, namely an exclusive dining experience, involving servicescape elements such as ambiance, functionality, and signs that affect customer satisfaction and restaurant reputation. This study found that servicescape has a positive and significant effect on revisit intention (?=0.379; p<0.001), customer satisfaction (?=0.156; p<0.001), and restaurant reputation (?=0.745; p<0.001). Elements such as interior design, lighting, aroma, cleanliness, and service create a memorable experience for customers, strengthen the restaurant's reputation, and increase customer loyalty. In addition, mediation by customer satisfaction and restaurant reputation showed significant results (p<0.001 and p=0.020), strengthening the relationship between servicescape and revisit intention. These results confirm that a good restaurant reputation not only increases consumer trust but also strengthens their perception of the quality of the experience offered. In the context of fine dining, servicescape is key to creating a high-end experience that meets customer expectations, thereby increasing return intentions and building loyalty. This study provides important insights for fine dining restaurant managers on how servicescape elements and restaurant reputation can be optimized to create a competitive advantage amidst increasingly fierce industry competition.
This study aims to investigate the effect of e-service quality, e-trust, and e-loyalty on Shopee application users Gen Z in Malang. This observation demographic consists of Shopee application users in Malang City, which is included in the Z generation. This research is included in the category of explanatory research using a quantitative approach. Primary data is obtained from the facts collected by sending questionnaires to 150 respondents who have used the Shopee application, as well as using the Gform application to distribute data. Data analysis using partial least squares (SEM-PLS) 3.3 software to test the validity, reliability, path analysis, and testing of mediation variables. The findings of this study indicate that e-service quality has a positive effect and directly affects e-loyalty. The direct effect of e-service quality on e-trust also has a positive and significant influence. The findings of this study also show that e-trust can mediate the influence of e-service quality on e-loyalty. Conclusion In the results of this study, it is expected that the Shopee e-commerce application will continue to be able to improve the quality of goods and services to the maximum, which is useful for attracting customers to be loyal. Increasing e-service quality provided by service providers, especially e-commerce, will affect customer loyalty and encourage repeated use of applications.
This study aims to examine the effect of brand experience and service quality on customer loyalty mediated by customer satisfaction at BCA. This study uses explanatory research with a quantitative approach. The population in this study were all customers who transacted at BCA Branch Gresik. The study employed the purposive sampling technique. The sample in the study was 160 BCA customer respondents. Data was collected through surveys, documentation, and the use of Likert scales to test instruments. The data was analyzed using Structural Equation Model Partial Least Squares (SEM-PLS) modeling. The results showed that brand experience has no significant effect on customer satisfaction. Service quality has a positive and significant effect on customer satisfaction. In addition, customer satisfaction also has a positive and significant effect on customer loyalty. Customer satisfaction can mediate the relationship between brand experience and service quality on customer loyalty. The findings of this study suggest that BCA Gresik should provide a good experience for customers and improve service quality during customer transactions at the Bank. By increasing these two things, customers will feel satisfied which creates loyal customers.
The primary objective of this study is to investigate the impact of corporate image, relationship marketing, and customer satisfaction on customer loyalty. The present study employs a quantitative methodology to provide an explanatory analysis. The study sample comprised customers residing in the city of Malang who patronize the small and medium enterprises (SMEs) known as Rampis Bang Raden. The research utilized the purposive sampling method. The study's sample size consisted of 170 participants. The data gathering methods employed in this study encompassed surveys, documentation, and the utilization of Likert scales to assess the instrument. The data underwent analysis through the utilization of the structural equation model partial least squares (SEM-PLS) modeling technique. The results of this study suggest that there is a considerable relationship between corporate image and relationship marketing, and their impact on consumer loyalty. Furthermore, the influence of corporate image and relationship marketing on customer satisfaction is also substantial. Enhancing customer happiness can lead to an increase in customer loyalty. The mediating role of customer happiness can be observed in the association between corporate image, relationship marketing, and customer loyalty. The results of this study indicate that small and medium-sized enterprises (SMEs), such as Rampis Bang Raden, are able to uphold both product distinctiveness and quality, while simultaneously enhancing amicable buyer interactions in order to sustain consumer loyalty.
This study aims to determine the effect of service quality and perceived value on customer loyalty as mediated by restaurant customer satisfaction in Tuban Regency. The population in this study was customers who have visited and enjoyed restaurants in Tuban Regency. The total samples in this study were 165 respondents using purposive sampling. The analysis method used is Partial Least Squares (PLS). The Result showed that service quality and perceived value positively and significantly impact customer loyalty. Then, service quality and perceived value significantly impact customer satisfaction. The finding of this study also revealed that Customer satisfaction has a positive and significant effect on customer loyalty. Customer satisfaction partially mediates the effects of service quality and perceived value on customer loyalty. Therefore, the restaurant needs to maintain and improve service quality and perceived value, which in turn will increase customer loyalty.
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 |