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: 26 / 26 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 01:24 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.
26 / 26 with data · 0 missing or unmatched. Percentages use all 26 selected publications.
26 / 26 with data · 0 missing or unmatched. Percentages use all 26 selected publications.
26 / 26 with data · 0 missing or unmatched. Percentages use all 26 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 9 | 9 | 9/9 | 9/9 |
| 2023 | All selected publications | 8 | 8 | 8/8 | 8/8 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 12 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 26 | 9 | 9/9 | 9/9 |
| 2023 | All selected publications | 22 | 8 | 8/8 | 8/8 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 23 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 49 | 9 | 9/9 | 9/9 |
| 2023 | All selected publications | 27 | 8 | 8/8 | 8/8 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 0 | 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 26 / 26 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 — 2026-10-23T01:24:33.689961+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 | 26 | 26/26 |
| 2018 | All selected publications | 0 | 26 | 26/26 |
| 2019 | All selected publications | 1 | 26 | 26/26 |
| 2020 | All selected publications | 0 | 26 | 26/26 |
| 2021 | All selected publications | 1 | 26 | 26/26 |
| 2022 | All selected publications | 5 | 26 | 26/26 |
| 2023 | All selected publications | 23 | 26 | 26/26 |
| 2024 | All selected publications | 33 | 26 | 26/26 |
| 2025 | All selected publications | 28 | 26 | 26/26 |
| 2026 | All selected publications | 19 | 26 | 26/26 |
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 |
|---|---|
| 2019 | 1 |
| 2020 | 2 |
| 2021 | 2 |
| 2022 | 9 |
| 2023 | 8 |
| 2024 | 1 |
| 2025 | 2 |
| 2026 | 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 Business Ecosystem & Strategy Bussecon International Academy | 3 | 8 | 13 | 3/3 | 2.67 | 0 | 33.3 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 23 | 58 | 97 | 23/23 | 2.52 | 2 | 82.6 | 23/23 · 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.
The purpose of this study is to explain and analyze the effect of the e-servicescape dimension on perceived value and loyalty to e-commerce sites in Indonesia. The sampling technique used a non-probability sampling technique with a sample of 195 respondents who had shopped at e-commerce more than three times. Data collection is done by spreading the distribution through WhatsApp, Instagram, and Facebook. The research variables consist of aesthetic appeal, layout & functionality, and financial security as independent variables, perceived value as a mediator, and attitude and behavior loyalty variables as dependent variables. The study used AMOS 24 to analyze the data. The results of the study show that the three independent variables are only layout & functionality that have a positive and significant effect on consumers' perceived value perceptions, while the variables of aesthetic appeal and financial security harm perceived value. Furthermore, the perceived value variable has a positive and significant effect on attitude and behavior loyalty as well as attitude loyalty has a significant positive effect on behavioral loyalty. The implication of this research is to add literature and insight for e-commerce players in Indonesia to increase the aesthetic appeal of online stores and financial security so that consumers are loyal in attitude and behavior and that practices that can harm consumers and negatively impact e-commerce players do not occur. Research needs to do further research on the same object but with different results or different objects, such as electronic products or e-commerce bills.
Indonesia has a lot of sectors that function to drive economic activity. One of the existing sectors is the banking industry. A bank has the primary aim of gaining loyalty from its customers. Besides improving service quality, maintaining the corporate image and increasing customer satisfaction also affect customer loyalty. The purpose of this study is to determine the influence of service quality, corporate image, and customer satisfaction on customer loyalty. The research method is survey research, which uses a questionnaire as a research instrument. This study's population is customers with a bank account in Indonesia, with a total of 200 respondents. The result shows that the variable of service quality, and corporate image, has a positive and significant effect on customer satisfaction and customer satisfaction has a positive and significant effect on customer loyalty. In contrast, service quality and the corporate image does not have a positive and significant effect on customer loyalty.
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 examine the effects of price discount and delivery service on purchase decision and their subsequent impact on customer satisfaction and customer loyalty within an urban franchise retail context. A quantitative approach was employed using a survey of 220 consumers of Indomaret Anggrek Rosliana Raya, West Jakarta. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that price discount has a significant but relatively weak effect on purchase decision, while delivery service demonstrates a stronger influence, highlighting the increasing importance of service convenience in urban retail environments. Furthermore, purchase decision has a substantial effect on customer satisfaction, which in turn strongly influences customer loyalty. The study also confirms a sequential mediation mechanism, where marketing stimuli influence customer loyalty indirectly through purchase decision and customer satisfaction. Unlike previous customer loyalty studies that predominantly examine the direct effects of marketing stimuli on satisfaction or loyalty, this study develops a sequential framework in which purchase decision functions as a cognitive mediator preceding customer satisfaction as an affective mediator. This model extends existing customer loyalty frameworks by demonstrating that loyalty emerges through a two-stage evaluation process rather than through isolated direct relationships.
This study aims to obtain the results of the analysis of the influence of restaurant image on behavioural intention, with the mediating role of experience value and customer satisfaction on restaurant customers in Ternate City. A total of 127 restaurant customers were used as samples in this study. A purposive sampling approach was used. The analysis method used to test the hypothesis in this study was SEM-PLS. The study showed that restaurant image had no significant effect on behavioural intention. Further studies also showed that restaurant image positively and significantly affected experience value and customer satisfaction, and positively and significantly impacted behavioural intention. The variables experience value and customer satisfaction can mediate the influence of restaurant image on behavioural intention.
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.
The retail segment has the largest contribution to the total net sales value of Kimia Farma Group, which is run by the company's subsidiary, PT Kimia Farma Apotek (KFA). Kimia Farma's retail segment is experiencing a relatively non-ideal revenue trend from 2017 to 2022. The main challenges faced are the purchasing power of the community, the increasingly fierce level of competition, and risks related to customer loyalty. Based on this background, this study aims to examine the effect of Kimia Farma's image and product attributes on customer loyalty, both directly and indirectly through customer satisfaction. The research was conducted with a quantitative approach at the Kimia Farma Pharmacy in Bandung, with the unit of observation being Kimia Farma pharmacy customers in Bandung City. The sample was 235 respondents, who were taken using the Multistage Random Sampling technique. Structural Equation Modeling was used to conduct causality analysis. The results revealed that: Kimia Farma's image and product attributes play a role in shaping customer satisfaction, but have no direct impact in creating customer loyalty; customer satisfaction plays a role in creating customer loyalty; customer satisfaction mediates the effect of Kimia Farma's image and product attributes on customer loyalty; product attributes have a greater role than Kimia Farma’s image in encouraging customer satisfaction which will create customer loyalty. This research provides managerial benefits for increasing customer loyalty at Kimia Farma Pharmacy in Bandung City, by increasing customer satisfaction, which is supported by the development of product attributes and the image of Kimia Farma.
The objective of this study is to examine the impact of corporate social responsibility (CSR) performance on brand image and customer satisfaction. Moreover, the analysis was performed to examine the impact of brand image and customer satisfaction on customer engagement. This study examines the impact of customer interaction on customer loyalty. This study employs quantitative analysis techniques to empirically examine the formulated hypothesis. The research sample consists of consumers from the cement business in Cirebon, West Java, Indonesia. The study employed a sampling technique that utilized random sampling to gather a sample of 180 respondents, who served as a representative of the study population. The data was acquired by distributing questionnaires and analyzed using the structural equation modeling technique with the assistance of AMOS software. The analytical results demonstrate empirical support for all hypotheses proposed in this study. This study demonstrates that the performance of corporate social responsibility (CSR) has a beneficial impact on the identity of a brand and the happiness of customers. In order to enhance brand recognition and improve consumer happiness, it is important to achieve superior corporate social responsibility (CSR) performance. Moreover, the recognition of a brand and the contentment of customers have a favorable impact on the involvement of customers, and the involvement of customers has a favorable impact on their loyalty. This study offers suggestions to organizations, including those in the cement industry, on how to enhance their corporate social responsibility (CSR) efforts to improve brand recognition and consumer contentment. Effective CSR performance may be attained by addressing five key aspects: social responsibility, environmental stewardship, cultural preservation, human resources management, and socio-economic development. Moreover, it is essential to enhance brand recognition and consumer contentment in order to maximize customer involvement and allegiance.
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 |