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: 8 / 8 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: 22 Oct 2026 01:13 UTC — 22 Oct 2026 03:34 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.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 selected publications.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 selected publications.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 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 | 8 | 8 | 8/8 | 8/8 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 38 | 8 | 8/8 | 8/8 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 78 | 8 | 8/8 | 8/8 |
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 8 / 8 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): 2026-10-22T01:13:30.511792+00:00 — 2026-10-22T03:34:55.770905+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 | 8 | 8/8 |
| 2018 | All selected publications | 0 | 8 | 8/8 |
| 2019 | All selected publications | 0 | 8 | 8/8 |
| 2020 | All selected publications | 0 | 8 | 8/8 |
| 2021 | All selected publications | 2 | 8 | 8/8 |
| 2022 | All selected publications | 16 | 8 | 8/8 |
| 2023 | All selected publications | 16 | 8 | 8/8 |
| 2024 | All selected publications | 25 | 8 | 8/8 |
| 2025 | All selected publications | 14 | 8 | 8/8 |
| 2026 | All selected publications | 5 | 8 | 8/8 |
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 | 8 |
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 | 8 | 38 | 78 | 8/8 | 4.75 | 3.5 | 100.0 | 8/8 · 100.0% |
* Percentage among publications with a known citation count.
Pakistan is experiencing an enormous increase in the acceptance of western apparel shopping among people. To bind this opportunity, it is necessary to understand ensure the repurchase intention among customers. Hence this research article explored the impact of Service and Product related attributes on Re-purchase Intention: Role of customer characteristics and customer satisfaction in an apparel shopping context. The importance of product attributes and service attributes to the result of repurchase intention has been well documented. In the past, scarce studies will be done to check this relationship. The theoretical repurchase model was developed and tested using SEM on experiential data of 350 apparel brand customers. In Pakistan's scenario, the study's significance is that the clothing industry is becoming more frequent and increasingly focused on developing brands. Simultaneously, the Pakistan textile and clothing brands industry became more and more developed and strongly influenced the international market worldwide. The current research finding will enable marketers to realize the value of product and service attributes and depict the different factors of customer characteristics and customer satisfaction impact on repurchase intention for ensuring continuity among old customers. Furthermore, the current research will make a valuable addition to increasing repurchase intention literature for marketers.
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 article examines the Impact of Customer Satisfaction on the Business Performance of SMEs in Nigeria. The relationship between customer satisfaction and business performance is an important relationship for the development and growth of any nation's economy. The survey design method was applying for the study with its population being drawn from customers and staff in the organization with its outcomes results showing a greater significant relationship between customer satisfaction and business performance but recommended that financial supports to SMEs' will increase customer satisfaction. The survey research design was used as the data used in this research were collected from primary sources i.e. both primary and secondary sources. The primary data were gathered through the use of a structured questionnaire and about one hundred (100) questionnaires were administered to select registered SMEs for responses within. This study concludes that customer satisfaction in business is positively affected by business performance. As profitability is the ability of an organization to earn a return on the resources invested which remains the main key to measure the overall position and performance of the business enterprise.
This research aimed to determine the effect of the membership programs on customer loyalty of “Kartu Aku” users at Alfamart Sunan Kalijaga Street, Malang City by involving customer satisfaction as mediating variable. This research employed a quantitative approach with a sample of 161 respondents determined by the Slovin formula. Data collection methods used a questionnaire. Meanwhile, the data analysis technique used SEM (Structural Equation Modeling) PLS, and the mediation test used bootstrapping with help of SmartPLS 3.3.3 software. The result showed that variable membership program had a significant effect on variable customer loyalty with t-statistics value 15,027, variable membership program had a significant effect on variable customer satisfaction with t-statistics value 14,391, variable customer satisfaction had a significant effect on variable customer loyalty with t-statistic value 2,818 and variable customer satisfaction significantly mediated the relationship between variable membership program and variable customer loyalty with t-statistics value 2,772.
This paper aims to examine the impact of mobile telecom service characteristics on consumer satisfaction in urban Uganda, using a Servqual model. The association between customer satisfaction level and service quality characteristics has been tested with a regression analysis. In this study, assurance as a Servqual dimension has been substituted with tariffs to exhibit its effect on customers’ satisfaction levels. Findings verified that some of the Servqual dimensions including reliability, empathy, and responsiveness have been positively affecting the customer satisfaction level in the Ugandan context. The study also demonstrated that the prices of products and services of telecom companies were not the major concerns for telecom consumers in Uganda. The study, finally, provides some practical guidelines to managers of telecom companies as well as hinting out which Servqual dimensions are valued most by customers in Uganda.
This research aimed to determine the effect of the membership programs on customer loyalty of “Kartu Aku” users at Alfamart Sunan Kalijaga Street, Malang City by involving customer satisfaction as mediating variable. This research employed a quantitative approach with a sample of 161 respondents determined by the Slovin formula. Data collection methods used a questionnaire. Meanwhile, the data analysis technique used SEM (Structural Equation Modeling) PLS, and the mediation test used bootstrapping with help of SmartPLS 3.3.3 software. The result showed that variable membership program had a significant effect on variable customer loyalty with t-statistics value 15,027, variable membership program had a significant effect on variable customer satisfaction with t-statistics value 14,391, variable customer satisfaction had a significant effect on variable customer loyalty with t-statistic value 2,818 and variable customer satisfaction significantly mediated the relationship between variable membership program and variable customer loyalty with t-statistics value 2,772.
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 paper aims to examine the impact of mobile telecom service characteristics on consumer satisfaction in urban Uganda, using a Servqual model. The association between customer satisfaction level and service quality characteristics has been tested with a regression analysis. In this study, assurance as a Servqual dimension has been substituted with tariffs to exhibit its effect on customers’ satisfaction levels. Findings verified that some of the Servqual dimensions including reliability, empathy, and responsiveness have been positively affecting the customer satisfaction level in the Ugandan context. The study also demonstrated that the prices of products and services of telecom companies were not the major concerns for telecom consumers in Uganda. The study, finally, provides some practical guidelines to managers of telecom companies as well as hinting out which Servqual dimensions are valued most by customers in Uganda.
The article examines the Impact of Customer Satisfaction on the Business Performance of SMEs in Nigeria. The relationship between customer satisfaction and business performance is an important relationship for the development and growth of any nation's economy. The survey design method was applying for the study with its population being drawn from customers and staff in the organization with its outcomes results showing a greater significant relationship between customer satisfaction and business performance but recommended that financial supports to SMEs' will increase customer satisfaction. The survey research design was used as the data used in this research were collected from primary sources i.e. both primary and secondary sources. The primary data were gathered through the use of a structured questionnaire and about one hundred (100) questionnaires were administered to select registered SMEs for responses within. This study concludes that customer satisfaction in business is positively affected by business performance. As profitability is the ability of an organization to earn a return on the resources invested which remains the main key to measure the overall position and performance of the business enterprise.
The higher education sector has evolved over the past decade due to the ever-changing needs of students who are its primary customers. As a result, most students have to deal with unmet expectations which subsequently lead to service failure. Even though service failure cannot be eliminated, higher education institutions are expected to provide an effective complaints management system to resolve student problems and service failure incidents. This study analyzed service failure and complaints management in higher education institutions. A quantitative, descriptive, and cross-sectional study was undertaken using 430 full-time students across three public universities in South Africa. The findings of this study showed that students encounter various forms of service failures in institutions of higher learning with the majority experiencing service failures in respect of funding and academic registration. Also, most of the students were generally satisfied with the complaints management system. Thus, this study can help institutional managers to understand service failure incidents confronting the sector. Furthermore, the study provides an opportunity for institutional managers to assess the effectiveness of the complaints management system and make improvements to ensure a better student experience
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 |