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: 21 Oct 2026 00:49 UTC — 21 Oct 2026 07:23 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 |
|---|---|---|---|---|---|
| 2013 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 15 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 8 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 | 2/2 |
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): 2026-10-21T00:49:27.821039+00:00 — 2026-10-21T07:23:04.002250+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 | 2 | 8 | 8/8 |
| 2019 | All selected publications | 4 | 8 | 8/8 |
| 2020 | All selected publications | 1 | 8 | 8/8 |
| 2021 | All selected publications | 0 | 8 | 8/8 |
| 2022 | All selected publications | 6 | 8 | 8/8 |
| 2023 | All selected publications | 5 | 8 | 8/8 |
| 2024 | All selected publications | 3 | 8 | 8/8 |
| 2025 | All selected publications | 6 | 8 | 8/8 |
| 2026 | All selected publications | 2 | 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 |
|---|---|
| 2013 | 1 |
| 2016 | 1 |
| 2019 | 1 |
| 2022 | 1 |
| 2024 | 2 |
| 2025 | 2 |
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 | 16 | 36 | 8/8 | 2.0 | 2.0 | 75.0 | 8/8 · 100.0% |
* Percentage among publications with a known citation count.
The purpose of this study is to develop a model to investigate the impact of brand image and religious beliefs on Muslim consumers switching intention. Moreover, it also intends to examine, how switching intention affect the customer equity of international branded products. This study seeks to expand the body of knowledge in consumer behaviour research with emphasis on religious beliefs (Islamic beliefs). The benefits that will be yielded from this study will not only provide guidelines to business researchers, but will also enhance the current understanding of Muslim consumers. It studies how the Muslim consumer’s brand switching behaviour is influenced by religious beliefs of Muslim consumers and image of a brand, yet previous studies have only attempted to understand brand switching without considering the religion specifically Islam.
The growth of the cosmetics industry in the world has increased rapidly in recent decades. Cosmetics manufacturers face intense competitive pressure, both from halal cosmetics products and regular cosmetics products. The existence of this intense competition requires companies to be responsive to consumer needs, so companies must ensure that their product offerings are aligned with consumer demand, to encourage consumer adoption. As explanatory quantitative research, the purpose of this research is to figure out the characteristics of muslim women Generasion Z and determine the effect of Religiosity, Halal Label, Eco Label and Halal Green Perception on Customer Loyalty, both directly and indirectly. The object of this research is a Muslim women Generation Z who uses halal green cosmetics in Malang City with a total sampel of 200 respondents.The technique of collecting data using a closed questionnaire and analyzed with SmartPLS 3.0. As a result, religiosity has no significantly influence on customer loyalty, but Halal Label and Eco Label significantly affect customer loyalty. Furthermore, religiosity, halal label and eco label have a directly positive impact on halal green perceptions. It is worth noting that Halal Green Perception also indirectly plays a role by mediating between religiosity, halal label and eco label on customer loyalty. Although religiosity does not play a direct role in influencing Customer Loyalty, it does not mean that these products cannot attract Generation Z's interest. It should be noted that although the level of Religiosity of Generation Z varies, this generation can still choose halal green cosmetics based on considerations of product quality assurance such as halal label and eco label.
As explanatory quantitative research, this study aims to determine the direct and indirect effects of religiosity and product knowledge on customer loyalty moderated by halal perception. The object of this research is a Muslim woman who uses halal-certified cosmetics in Malang City with a total sample of 140 respondents. The data collection technique used a closed questionnaire with the help of a google form. Data analysis techniques used include descriptive statistical analysis and Structural Equation Model (SEM) with Partial Least Square (PLS) approach. The results showed that religiosity and product knowledge had a direct effect on halal perception. Then, religiosity, product knowledge, and halal perception have a direct effect on customer loyalty. Furthermore, halal perception has an indirect effect because it is able to mediate religiosity and product on customer loyalty.
Halal packaged food products have attracted much attention in ASEAN where its largest member, Indonesia, is the world’s most populous Muslim country and is a major market in the region. For a non-Muslim country like Thailand, Islam also has a significant role in being the second popular religion after Buddhism. Although the Islamic population in Thailand is not as great as in Islamic countries, Thailand plays a substantial part in halal business as being recognized as a food production base exporting halal food worldwide. Therefore, the major objective of this study is to identify and analyze the significant factors that influence purchase intention of Thai and Indonesian Muslims toward halal packaged food products from non-Muslim manufacturers. This study used a survey to collect data consisting of 200 Thai respondents and 200 Indonesian respondents. The results indicated that product ingredients significantly influenced consumers’ intention to purchase both in Thailand and Indonesia while halal certification only significantly influenced consumers’ intention to purchase in Indonesia.

 
 
 This study is elected to explore the connection between religiosity and new product adoption amongst Pakistani consumers. This paper sheds some light on measured effects of religiosity and the perceived ideologies of Pakistani’s about proffered pharmaceutical products in the country. Total 500 respondents were involved in the study from (fourth largest city) Faisalabad through judgmental sampling to envisage the adoption pattern of Pakistani Muslim consumers. Here religiosity is taken as an independent variable and was analyzed in five dimensions: sacramental, rational, ideological, consequential, and Practical. Moreover new product development is signified as a dependent variable.Islamic tenets influence the adoption of new pharmaceutical products among Pakistani consumers as their attitude persuades adoption patterns that rely on religiosity. All possible substitutes within different dimensions were assessed to find out the most appropriate combination of dimensions which provided the output. Religion is an element of culture that permeates every aspect of a society and saturates the life of individuals whether one is a believer or a non-believer and cultural dimensions are very vibrant in a society, as religious doctrines shape a secure and stagnant pillar in the society. This paper will assist to highlight its significance and implications in product development related decisions of pharmaceutical industry with reference to the use (prescription/recommendation) of pharmaceutical products by Muslim patients (doctors).
 
 
Although halal tourism has attracted growing scholarly attention, existing studies predominantly emphasize market potential, tourist perceptions, and promotional strategies. To date, no research has rigorously examined the probability of Muslim tourists’ visit decisions by integrating halal attributes, religiosity, and attitudes within Indonesia’s five Super Priority Destinations (SPDs). Addressing this gap, the present study applies a quantitative design using a probabilistic logit model based on survey data from Muslim tourists. The findings reveal that the completeness of halal attributes substantially increases the probability of destination choice, while religiosity and positive tourist attitudes further strengthen the likelihood of visits. These results demonstrate that halal tourism decisions can be modelled as a probabilistic function of destination attributes rather than solely as cultural or religious expressions. The study highlights the critical role of Destination Management Organizations (DMOs) in institutionalizing halal standards, thereby enhancing visit probabilities, boosting competitiveness, and ensuring sustainable tourism development.
Indonesia is optimistic about becoming the center of the world's halal industry and the halal industry covers very diverse aspects of life, from the financial, food and beverage, tourism, pharmaceutical and cosmetics industries to the fashion industry. This very broad aspect of course requires the support of a lot of reliable human resources, namely human resources that are in accordance with the characteristics of Islamic values ??such as professional (kafa'ah), trustworthy (amanah) and himmatul amal (work spirit). For this reason, developing human resources who are currently or will be involved in the sharia industry is important. This research is qualitative research by conducting searches and comparisons of related concepts and policies, then analyzing them using the monotheism concept approach and finally describing the results of the interpretation of the data collected so that finally conclusions are drawn and convey the development model that should be carried out.
In the era of globalization and increasing awareness of health and product halal status, studies on halal product purchasing decisions are becoming increasingly important. The demand for halal products continues to rise along with the strengthening of consumers' religious beliefs through knowledge about the importance of halal. This research focuses on a halal product, Bipang Jangkar in Pasuruan, East Java, Indonesia, which was affected by a viral debate regarding Bipang Ambawang, a West Kalimantan specialty made from pork, after it was promoted as a holiday food by President Jokowi in 2021. Concerns arose that this debate could influence the sales of Bipang Jangkar, despite being very different from Bipang Ambawang. This study aims to clarify the role of halal awareness as a mediator in the influence of religiosity and halal logo on purchasing decisions. The respondents in this study were Bipang Jangkar consumers in Pasuruan. A total of 170 samples were obtained through online questionnaires. The data in this study were analyzed using SEM-PLS through the SmartPLS 3 program. The results of this study indicate that all hypotheses are accepted, except for the influence of religiosity on purchasing decisions and the role of halal awareness as a mediator of the halal logo's influence on purchasing decisions.
The growth of the cosmetics industry in the world has increased rapidly in recent decades. Cosmetics manufacturers face intense competitive pressure, both from halal cosmetics products and regular cosmetics products. The existence of this intense competition requires companies to be responsive to consumer needs, so companies must ensure that their product offerings are aligned with consumer demand, to encourage consumer adoption. As explanatory quantitative research, the purpose of this research is to figure out the characteristics of muslim women Generasion Z and determine the effect of Religiosity, Halal Label, Eco Label and Halal Green Perception on Customer Loyalty, both directly and indirectly. The object of this research is a Muslim women Generation Z who uses halal green cosmetics in Malang City with a total sampel of 200 respondents.The technique of collecting data using a closed questionnaire and analyzed with SmartPLS 3.0. As a result, religiosity has no significantly influence on customer loyalty, but Halal Label and Eco Label significantly affect customer loyalty. Furthermore, religiosity, halal label and eco label have a directly positive impact on halal green perceptions. It is worth noting that Halal Green Perception also indirectly plays a role by mediating between religiosity, halal label and eco label on customer loyalty. Although religiosity does not play a direct role in influencing Customer Loyalty, it does not mean that these products cannot attract Generation Z's interest. It should be noted that although the level of Religiosity of Generation Z varies, this generation can still choose halal green cosmetics based on considerations of product quality assurance such as halal label and eco label.
As explanatory quantitative research, this study aims to determine the direct and indirect effects of religiosity and product knowledge on customer loyalty moderated by halal perception. The object of this research is a Muslim woman who uses halal-certified cosmetics in Malang City with a total sample of 140 respondents. The data collection technique used a closed questionnaire with the help of a google form. Data analysis techniques used include descriptive statistical analysis and Structural Equation Model (SEM) with Partial Least Square (PLS) approach. The results showed that religiosity and product knowledge had a direct effect on halal perception. Then, religiosity, product knowledge, and halal perception have a direct effect on customer loyalty. Furthermore, halal perception has an indirect effect because it is able to mediate religiosity and product on customer loyalty.
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 |