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 — 22 Oct 2026 04:43 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 13 | 13 | 13/13 | 13/13 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 37 | 13 | 13/13 | 13/13 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 50 | 13 | 13/13 | 13/13 |
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): 2026-10-21T07:22:46.710089+00:00 — 2026-10-22T04:43:10.844173+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 | 0 | 13 | 13/13 |
| 2023 | All selected publications | 6 | 13 | 13/13 |
| 2024 | All selected publications | 19 | 13 | 13/13 |
| 2025 | All selected publications | 15 | 13 | 13/13 |
| 2026 | All selected publications | 10 | 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 |
|---|---|
| 2023 | 13 |
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 | 1 | 2 | 3/3 | 0.33 | 0 | 33.3 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 10 | 36 | 48 | 10/10 | 3.6 | 3.5 | 90.0 | 10/10 · 100.0% |
* Percentage among publications with a known citation count.
The study's primary objective was to analyze the effectiveness of e-customer service platforms on customer satisfaction in commercial banks in Botswana, using ABSA bank as a case study. The secondary objectives were to assess the effectiveness of reliability, responsiveness, assurance, empathy and tangibles of e-customer service platforms on customer satisfaction at ABSA bank. A positivist research philosophy was adopted. A cross-sectional survey design was used to collect data and probability sampling was employed. Data were collected from 180 customers who use ABSA e-customer services platforms using a structured questionnaire with Likert-type questions. Reliability was assessed using Cronbach’s alpha (?). Data were analysed using descriptive statistics, which include mean and standard deviation. Regression and correlation were applied to test research hypotheses. Results indicate that reliability, responsiveness, assurance, empathy and tangibles of e-customer services platforms at ABSA are positively linked to customer satisfaction. ABSA Bank management is therefore recommended to focus on continuous improvement on customer experiences to satisfy customers. Thus, ABSA should ensure that its services are unique, unforgettable and memorable such that customers are satisfied and share the positive word of mouth about the benefits offered by the bank. ABSA should also consider customer experience and continuous improvement of digital banking platforms as tools that can be used to increase customer satisfaction and loyalty. It is recommended that future studies be carried out across other banks in Botswana and the African context as well.
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.
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.
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.
Gojek has become a widely-known online transportation service in Indonesia, including East Bekasi, a major city that encompasses one of the biggest population numbers, right behind Jakarta. This results in the occurrences of traffic jams and, consecutively, the public’s need for comfortable, fast, and safe transportation. The purpose of this research is to identify, prove and analyze the loyalty of East Bekasi Gojek customers. In this paper, the researched variables include a brand image, promotion, service quality, customer satisfaction and customer loyalty. This research uses a quantitative method, namely the purposive sampling method, using samples from 96 respondents. The data used are gathered from the questionnaire spread, and data analysis is done using SmartPLS 3.0. The result of this research finds that for the direct influence of brand image, promotion, and service quality on customer loyalty, all variables show positive and significant effects, with brand awareness showing an influence degree of 0,350, promotion with 0,364, and service quality with 0,289. As for the indirect influence of brand image, promotion, and service quality towards customer loyalty, brand awareness shows positive and significant effects on the degree of 0,319 while on the other hand, promotion, and service quality show positive yet insignificant effects with promotion being on the degree of 0,222 and service quality on 0,179. As for the indirect influence, the influence towards loyalty through customer satisfaction shows positive and significant effects with brand image on the degree of 0,098, promotion on 0,102, and service quality on 0,081. Meanwhile, the direct joint contribution of brand image, promotion, and service quality for customer satisfaction shows a degree of 81,70%, and indirectly it shows a degree of 82,40%, while the rest of the figure is caused by other factors not included within the model of this research.
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 |