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: 5 / 5 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 01:28 UTC — 22 Oct 2026 02:31 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 58 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 77 | 5 | 5/5 | 5/5 |
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 5 / 5 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): 2026-10-22T01:28:39.538248+00:00 — 2026-10-22T02:31:58.234813+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 1 | 5 | 5/5 |
| 2023 | All selected publications | 9 | 5 | 5/5 |
| 2024 | All selected publications | 30 | 5 | 5/5 |
| 2025 | All selected publications | 23 | 5 | 5/5 |
| 2026 | All selected publications | 14 | 5 | 5/5 |
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 |
|---|---|
| 2022 | 5 |
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 | 2 | 3 | 1/1 | 2.0 | 2 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 4 | 56 | 74 | 4/4 | 14.0 | 10.0 | 100.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
Gen Z controls almost the entire population in the world with a total number of almost two billion people worldwide. This generation will be the largest consumer group in the world. In Indonesia itself, In 2020, Gen Z occupied the highest percentage of the population. Therefore, Gen Z is a potential target market that has a considerable influence on purchasing decisions. Based on the characteristics of Gen Z, who are digital natives, the use of social media is the right marketing strategy for consumers who are counted into Gen Z category. Promotional activities, as part of a marketing strategy, especially through social media require influencers as endorsers. This study aims to investigate the factors that influence the credibility attributes of social media influencers on the purchase intentions of Gen Z consumers. This study uses influencer credibility attributes (attractiveness, expertise, and trustworthiness) as independent variables that influence the purchase intention of Gen Z consumers with brand image as a mediation. This research is categorized as explanatory research. The respondents in this study were Gen Z who used Korean cosmetic products throughout Indonesia, the determination of the number of samples in this study used a purposive sampling technique with a sample of 210 respondents. The method of collecting data is using a questionnaire, the data is analyzed using PLS-SEM. The results showed that the three attributes of influencer credibility had a significant effect on the purchase intention of Gen Z. The three attributes of credibility had a significant effect on brand image, brand image had a significant effect on purchase intention. Brand image can provide a full mediating role in the relationship of influencer credibility to the purchase intention of Gen Z consumers. Local cosmetic industry players are expected to improve marketing strategies through online channels, especially social media by utilizing the right influencers as their endorsers, because it is proven in this study, credibility of social media influencers have a significant effect on the brand image of a product and the purchase intention of Gen Z consumers, so that the local cosmetic industry in Indonesia can compete with foreign cosmetic industries.
The aim of the paper is to investigate the impact of SEO on the business performance of a private university in Sarajevo. Thus, the main research question provides the finding on how does the implementation of SEO influence the performance of the business. Moreover, the tested hypothesis presents whether SEO positively influences the business performance of International Burch University (IBU). The research strategy is to analyze primary data derived from a case study, which is generated following a conversation with the Head of the IBU Marketing and PR team. The data sample is derived from Google Analytics (focusing on the number of visits and sessions, average engagement time, keywords and SERP positioning). Seobility tools are employed in data analysis. Business performance is calculated through the IBU CRM system, focusing on student enrolment. Findings indicate that increasing a site's rankings on search engine results pages (SERPs) led to a variety of positive outcomes for companies including an increase in the number of visitors to the site, an increase in the average amount of time users spent on the site, increased user engagement, and an increase in student enrollment, which resulted in IBU increased annual sales revenue. It will benefit many different groups, including the government, which will benefit in both microeconomic and macroeconomic senses, digital marketing enthusiasts and SEO experts, and the academic world, which will benefit as a framework for future studies and research in the field of SEO recognition and implementation in business queries.
Despite many studies on online advertising and its effects, there are still few studies that try to examine the avoidance of advertising by a person. However, the number of advertisements that appears will make someone feel annoyed and trigger avoidance behavior towards the advertisement they see. Referring to psychological reactance theory, advertising can become a nuisance when it is considered unrelated and interferes with a person's freedom to access media which in turn can trigger avoidance behavior in an effort to regain his freedom. Using psychological reactance theory, the aim of this research was to further investigate the relationship between advertising linkage and advertising avoidance behavior mediated by advertising distraction and advertising engagement variables. This research uses Instagram as the object of research. Instagram was chosen because it is a social media whose number of users is growing every year and this is what triggers many marketers to place ads on Instagram. Respondents in this research were Instagram users who had avoided advertisements that appeared on their accounts, determining the number of samples in this research using a purposive sampling technique with a sample of 160 respondents. The method of collecting data is using a questionnaire, the data is analyzed using PLS-SEM.
Business competition in the era of globalization is increasingly dynamic and complex, especially in the video-on-demand entertainment industry. The increasing number of competitors nowadays makes the company look for strategies to capture and maintain market share. Likewise, it is also easy to find information with increasingly sophisticated internet technology. VOD companies are very active in marketing their products through social media. With so many VOD brands, the researcher wanted to see brand image, e-WOM, and the intention of registration for potential consumers. The first is to find out how the effect of the brand image on the intention of registration. Second, to find out how e-WOM influences register intent. Third, to determine the impact of brand image and e-WOM on the intention of registration —the model tests in major cities in Indonesia with online questionnaire survey techniques. Then use PLS analysis with quantitative methods. The result shows that brand image affects the intention of registration, e-WOM affects the intention of registration and brand image, and e-WOM together strongly affects the customers’ intention of registration.
Digital marketing practices have had explosive growth in the past decade, especially in the insurance sector of developing countries. In particular, the internet has been instrumental in providing digital marketing services to customers from the insurance sector. The purpose of this study, therefore, is to assess the effect of digital marketing practices on the performance of the insurance sector. A desktop literature review was used for this purpose. Relevant seminal references and journal articles for the study were identified using Google Scholar. The inclusion criteria entailed papers that were not over ten years old. The study found that the use of digital marketing strategies has a positive effect on the insurance sector's performance. Profitability improved, market share grew, and they expanded their market share. Increased customer loyalty and access to new markets are benefits of internet marketing for insurance companies. According to the findings, insurance companies should make IT infrastructure investments and implement technology-enhanced processes. Employers require adequate training on the use of e-business platforms, as well as collaboration with providers of digital services to enable them to store and market their products and services online. Aside from using traditional marketing methods (such as direct mail), the study advises general insurance companies to be innovative by implementing new strategies, such as digital marketing, to gain a larger share of their target market. This is because strategies for digital marketing have a positive impact on the overall performance of the insurance industry.
Digital marketing practices have had explosive growth in the past decade, especially in the insurance sector of developing countries. In particular, the internet has been instrumental in providing digital marketing services to customers from the insurance sector. The purpose of this study, therefore, is to assess the effect of digital marketing practices on the performance of the insurance sector. A desktop literature review was used for this purpose. Relevant seminal references and journal articles for the study were identified using Google Scholar. The inclusion criteria entailed papers that were not over ten years old. The study found that the use of digital marketing strategies has a positive effect on the insurance sector's performance. Profitability improved, market share grew, and they expanded their market share. Increased customer loyalty and access to new markets are benefits of internet marketing for insurance companies. According to the findings, insurance companies should make IT infrastructure investments and implement technology-enhanced processes. Employers require adequate training on the use of e-business platforms, as well as collaboration with providers of digital services to enable them to store and market their products and services online. Aside from using traditional marketing methods (such as direct mail), the study advises general insurance companies to be innovative by implementing new strategies, such as digital marketing, to gain a larger share of their target market. This is because strategies for digital marketing have a positive impact on the overall performance of the insurance industry.
Gen Z controls almost the entire population in the world with a total number of almost two billion people worldwide. This generation will be the largest consumer group in the world. In Indonesia itself, In 2020, Gen Z occupied the highest percentage of the population. Therefore, Gen Z is a potential target market that has a considerable influence on purchasing decisions. Based on the characteristics of Gen Z, who are digital natives, the use of social media is the right marketing strategy for consumers who are counted into Gen Z category. Promotional activities, as part of a marketing strategy, especially through social media require influencers as endorsers. This study aims to investigate the factors that influence the credibility attributes of social media influencers on the purchase intentions of Gen Z consumers. This study uses influencer credibility attributes (attractiveness, expertise, and trustworthiness) as independent variables that influence the purchase intention of Gen Z consumers with brand image as a mediation. This research is categorized as explanatory research. The respondents in this study were Gen Z who used Korean cosmetic products throughout Indonesia, the determination of the number of samples in this study used a purposive sampling technique with a sample of 210 respondents. The method of collecting data is using a questionnaire, the data is analyzed using PLS-SEM. The results showed that the three attributes of influencer credibility had a significant effect on the purchase intention of Gen Z. The three attributes of credibility had a significant effect on brand image, brand image had a significant effect on purchase intention. Brand image can provide a full mediating role in the relationship of influencer credibility to the purchase intention of Gen Z consumers. Local cosmetic industry players are expected to improve marketing strategies through online channels, especially social media by utilizing the right influencers as their endorsers, because it is proven in this study, credibility of social media influencers have a significant effect on the brand image of a product and the purchase intention of Gen Z consumers, so that the local cosmetic industry in Indonesia can compete with foreign cosmetic industries.
The aim of the paper is to investigate the impact of SEO on the business performance of a private university in Sarajevo. Thus, the main research question provides the finding on how does the implementation of SEO influence the performance of the business. Moreover, the tested hypothesis presents whether SEO positively influences the business performance of International Burch University (IBU). The research strategy is to analyze primary data derived from a case study, which is generated following a conversation with the Head of the IBU Marketing and PR team. The data sample is derived from Google Analytics (focusing on the number of visits and sessions, average engagement time, keywords and SERP positioning). Seobility tools are employed in data analysis. Business performance is calculated through the IBU CRM system, focusing on student enrolment. Findings indicate that increasing a site's rankings on search engine results pages (SERPs) led to a variety of positive outcomes for companies including an increase in the number of visitors to the site, an increase in the average amount of time users spent on the site, increased user engagement, and an increase in student enrollment, which resulted in IBU increased annual sales revenue. It will benefit many different groups, including the government, which will benefit in both microeconomic and macroeconomic senses, digital marketing enthusiasts and SEO experts, and the academic world, which will benefit as a framework for future studies and research in the field of SEO recognition and implementation in business queries.
Despite many studies on online advertising and its effects, there are still few studies that try to examine the avoidance of advertising by a person. However, the number of advertisements that appears will make someone feel annoyed and trigger avoidance behavior towards the advertisement they see. Referring to psychological reactance theory, advertising can become a nuisance when it is considered unrelated and interferes with a person's freedom to access media which in turn can trigger avoidance behavior in an effort to regain his freedom. Using psychological reactance theory, the aim of this research was to further investigate the relationship between advertising linkage and advertising avoidance behavior mediated by advertising distraction and advertising engagement variables. This research uses Instagram as the object of research. Instagram was chosen because it is a social media whose number of users is growing every year and this is what triggers many marketers to place ads on Instagram. Respondents in this research were Instagram users who had avoided advertisements that appeared on their accounts, determining the number of samples in this research using a purposive sampling technique with a sample of 160 respondents. The method of collecting data is using a questionnaire, the data is analyzed using PLS-SEM.
Business competition in the era of globalization is increasingly dynamic and complex, especially in the video-on-demand entertainment industry. The increasing number of competitors nowadays makes the company look for strategies to capture and maintain market share. Likewise, it is also easy to find information with increasingly sophisticated internet technology. VOD companies are very active in marketing their products through social media. With so many VOD brands, the researcher wanted to see brand image, e-WOM, and the intention of registration for potential consumers. The first is to find out how the effect of the brand image on the intention of registration. Second, to find out how e-WOM influences register intent. Third, to determine the impact of brand image and e-WOM on the intention of registration —the model tests in major cities in Indonesia with online questionnaire survey techniques. Then use PLS analysis with quantitative methods. The result shows that brand image affects the intention of registration, e-WOM affects the intention of registration and brand image, and e-WOM together strongly affects the customers’ intention of registration.
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 |