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: 4 / 4 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 00:14 UTC — 22 Oct 2026 02:38 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 2 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 13 | 4 | 4/4 | 4/4 |
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 4 / 4 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): 2026-10-21T00:14:27.759247+00:00 — 2026-10-22T02:38:04.929391+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 3 | 4 | 4/4 |
| 2023 | All selected publications | 6 | 4 | 4/4 |
| 2024 | All selected publications | 4 | 4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 |
| 2026 | All selected publications | 0 | 4 | 4/4 |
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 | 4 |
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 | 1 | 1 | 2 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 3 | 1 | 11 | 3/3 | 0.33 | 0 | 33.3 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
This study is a quantitative study that aims to determine and analyze whether 3 quality perspectives namely product quality, service quality and delivery quality affect consumer perceptions in rating online stores. The purpose of this study is to find out how consumers rate online stores from three points of view, namely the point of view of product quality, delivery quality, and from the point of view of service quality. This study is located in Surabaya and took a sample of 70 respondents with the provisions of doing online shopping as much as 5 times in the last 1 month. After fulfilling the validity and reliability test, then doing hypothesis testing using the F test and t-test. The results showed that 3 quality perspectives, namely product quality, service quality, and delivery quality either partially or simultaneously had a significant effect on consumer perceptions in determining online store ratings. In addition to building a store image, giving a high rating from consumers will also increase sales turnover which will have an impact on increasing online store profits.
The development of the coffee industry in Indonesia is growing significantly, as it is driven by the number of coffee shops that are developing both in villages to urban areas as a balancer for people's lifestyles who like to drink coffee while enjoying activities outside the home. This phenomenon makes the level of competition for coffee brands in packaging very hypercompetitive. Consumer intentions in deciding to buy packaged coffee are strongly influenced by the perception of the quality of the coffee, so it is not surprising that currently there are many different flavors and brands. To market coffee products, many producers use celebrity endorsement services. However, as time goes by and the marketing strategy through endorsement has become massive, it is necessary to study whether this strategy is still effective in increasing the number of sales. It turns out that currently, endorsements do not really affect consumer purchasing decisions. From the results of the study, it can be concluded that: (1) perceived quality influences the intention to purchase packaged coffee, and perceived quality also influences brand loyalty in packaged coffee; (2) celebrity endorsement does not influence the intention to purchase packaged coffee, but celebrity endorsement influences the brand loyalty; and (3) brand loyalty influences the intention to purchase packaged coffee. So that in general brand loyalty is able to mediate the influence of perceived quality and celebrity endorsement on the intention to purchase packaged coffee.
This study of college services consumers aims to determine several aspects of the service marketing mix of the decision to choose college x in Purwokerto, Indonesia. Furthermore, this study uses emotional branding moderation on aspects of the marketing mix on the selection decision. Emotional branding aspects were studied to determine customer emotional involvement, pride, emotional relationships, and expectations of the selected educational service products. Using a questionnaire with a Linkert scale, the study explored information from 300 student respondents who registered at college x in Purwokerto, Indonesia. Furthermore, the questionnaire data received were processed using the Smart-PLS 3.0 analysis tool. The results of the analysis of emotional branding were unable to moderate the relationship between promo si, price, place, process, and customer service to choose college x in Purwokerto, Indonesia during the Covid-19 periods. Promotions and places or locations. Other aspects do not affect. This condition indicates the importance of promotion and proximity to location when choosing a tertiary institution during the Covid-19 period. Promotion needs to be improved at tertiary institutions x in Purwokerto Indonesia, as done through online media and social media. Research on the emotional branding of College services has not been done much. This research complements the information and adds to the repertoire of research on emotional branding, brand equity, and emotional brand service products.
This research uses a quantitative approach, using 25 samples taken from the population, namely consumers of retail companies that sell private label products, including Superindo, Indomaret, and Alfamart. The purpose of this study is to analyze and determine whether the variable customer satisfaction can mediate the effect of promotion and place advertising on positive word of mouth. Data analysis in this research used PLS (Partial Least Square) with the SmartPLS program, which consists of a measurement model, namely convergent validity, discriminant validity and composite reliability, as well as structural models namely R-Square, Q-Square, Path test coefficients to test the significance of influence, and the Sobel test to test for mediation. The results showed that consumer satisfaction was not able to mediate a positive relationship between promotion and positive word of mouth, but promotion had a significant effect on consumer satisfaction.
The development of the coffee industry in Indonesia is growing significantly, as it is driven by the number of coffee shops that are developing both in villages to urban areas as a balancer for people's lifestyles who like to drink coffee while enjoying activities outside the home. This phenomenon makes the level of competition for coffee brands in packaging very hypercompetitive. Consumer intentions in deciding to buy packaged coffee are strongly influenced by the perception of the quality of the coffee, so it is not surprising that currently there are many different flavors and brands. To market coffee products, many producers use celebrity endorsement services. However, as time goes by and the marketing strategy through endorsement has become massive, it is necessary to study whether this strategy is still effective in increasing the number of sales. It turns out that currently, endorsements do not really affect consumer purchasing decisions. From the results of the study, it can be concluded that: (1) perceived quality influences the intention to purchase packaged coffee, and perceived quality also influences brand loyalty in packaged coffee; (2) celebrity endorsement does not influence the intention to purchase packaged coffee, but celebrity endorsement influences the brand loyalty; and (3) brand loyalty influences the intention to purchase packaged coffee. So that in general brand loyalty is able to mediate the influence of perceived quality and celebrity endorsement on the intention to purchase packaged coffee.
This study is a quantitative study that aims to determine and analyze whether 3 quality perspectives namely product quality, service quality and delivery quality affect consumer perceptions in rating online stores. The purpose of this study is to find out how consumers rate online stores from three points of view, namely the point of view of product quality, delivery quality, and from the point of view of service quality. This study is located in Surabaya and took a sample of 70 respondents with the provisions of doing online shopping as much as 5 times in the last 1 month. After fulfilling the validity and reliability test, then doing hypothesis testing using the F test and t-test. The results showed that 3 quality perspectives, namely product quality, service quality, and delivery quality either partially or simultaneously had a significant effect on consumer perceptions in determining online store ratings. In addition to building a store image, giving a high rating from consumers will also increase sales turnover which will have an impact on increasing online store profits.
This study of college services consumers aims to determine several aspects of the service marketing mix of the decision to choose college x in Purwokerto, Indonesia. Furthermore, this study uses emotional branding moderation on aspects of the marketing mix on the selection decision. Emotional branding aspects were studied to determine customer emotional involvement, pride, emotional relationships, and expectations of the selected educational service products. Using a questionnaire with a Linkert scale, the study explored information from 300 student respondents who registered at college x in Purwokerto, Indonesia. Furthermore, the questionnaire data received were processed using the Smart-PLS 3.0 analysis tool. The results of the analysis of emotional branding were unable to moderate the relationship between promo si, price, place, process, and customer service to choose college x in Purwokerto, Indonesia during the Covid-19 periods. Promotions and places or locations. Other aspects do not affect. This condition indicates the importance of promotion and proximity to location when choosing a tertiary institution during the Covid-19 period. Promotion needs to be improved at tertiary institutions x in Purwokerto Indonesia, as done through online media and social media. Research on the emotional branding of College services has not been done much. This research complements the information and adds to the repertoire of research on emotional branding, brand equity, and emotional brand service products.
This research uses a quantitative approach, using 25 samples taken from the population, namely consumers of retail companies that sell private label products, including Superindo, Indomaret, and Alfamart. The purpose of this study is to analyze and determine whether the variable customer satisfaction can mediate the effect of promotion and place advertising on positive word of mouth. Data analysis in this research used PLS (Partial Least Square) with the SmartPLS program, which consists of a measurement model, namely convergent validity, discriminant validity and composite reliability, as well as structural models namely R-Square, Q-Square, Path test coefficients to test the significance of influence, and the Sobel test to test for mediation. The results showed that consumer satisfaction was not able to mediate a positive relationship between promotion and positive word of mouth, but promotion had a significant effect on consumer satisfaction.
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 |