CiteNScope — Scholarly Index & Analytics
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 22 Oct 2026, 01:41 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS63/3 with known counts
OPENALEX CITATIONS133/3 with known counts
OPENALEX MEAN4.33Per article with a known count
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topic: Consumer Retail Behavior Studies Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

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Citations received

OpenAlex · year of the citing work

OpenAlex

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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Islamic University of Indonesia2University of Brawijaya13/3 records with data

Countries

Indonesia33/3 records with data

Primary topics

Consumer Retail Behavior Studies33/3 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

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.

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Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

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.

View data & coverage
Annual history: 3/3 articles. Latest history observation: 2026-10-22T01:41:21.452674+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Business Ecosystem & StrategyInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

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.

Full analytics report All distributions, publications, comparisons & data provenance
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS6
CROSSREF · CITED PUBLICATIONS66.7%
CROSSREF · MEAN CITATIONS2.0

Crossref citation coverage: 3 / 3 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS13
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY4.333 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3

Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 01:41 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–516–20121+0Unknown0

Institutions, countries & topics

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.

Institutions

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Countries

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Primary topics

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Citation year / OpenAlex

Citations received over time

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 3 / 3 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): 2026-10-21T07:22:49.812430+00:00 — 2026-10-22T01:41:21.452674+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

42.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 3/3 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications033/3
2018All selected publications033/3
2019All selected publications033/3
2020All selected publications033/3
2021All selected publications033/3
2022All selected publications033/3
2023All selected publications233/3
2024All selected publications433/3
2025All selected publications433/3
2026All selected publications333/3

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 ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean2.0
Median1
No citations11–526–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Business Ecosystem & Strategy
Bussecon International Academy
1001/10.000.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
26132/23.03.0100.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

The influence of intensity of TikTok use, utilitarian value, and hedonic value on impulsive buying mediated by urge to buy impulsively

Vitria Zhuanita Rani · Ainur Rofiq · Himmiyatul Amanah Jiwa Juwita

International Journal of Research in Business and Social Science · 2023

Read abstract

The aim of this paper is to find out whether there is a relationship between the intensity of using Tiktok, utilitarian value, hedonic value, and impulse buying. TikTok is a social commerce with a live shopping service that provides convenience in online shopping and allows direct interaction with sellers while browsing social media without switching applications. This study uses the stimulus-organism-response (SOR) theory, dividing the stimulus into internal and external factors. Internal factors include utilitarian value and hedonic value, while external factors are the intensity of use of the TikTok application. Respondents in this study are married women who use Tiktok. This research is causality research with a total sample of 120 respondents. The data collection method uses a questionnaire and is analyzed using SEM-PLS. The findings of this study indicate that the intensity of TikTok use significantly affects impulse purchases. However, utilitarian and hedonic values have no significant effect on impulse purchases. For the mediating effect, the impulse to buy impulsively mediates the relationship between the intensity of TikTok use and the hedonic value of impulse buying. However, it does not mediate the utilitarian value of impulse buying.

DOI 10.20525/ijrbs.v12i5.26905 Crossref citations10 OpenAlex citations
JOURNAL ARTICLE

The influence of online customer shopping experience on online impulsive buying in e-commerce with attitudinal loyalty as a mediation variable

Hana Rizquna Nabela · Albari Albari

International Journal of Research in Business and Social Science · 2023

Read abstract

Psychological components of Online Customer's Shopping Experience (OCSE) on attitude loyalty and online impulsive buying in e-commerce. The research approach used is quantitative. The population was all Indonesian people who used and bought e-commerce products. The sample was determined using a non-probability sampling method with a convenience sampling technique. The number of samples is 470 respondents. Research data were analyzed using AMOS 24 software with Structural Equation Model (SEM) modeling. The results of SEM analysis showed that informativeness has a positive and significant effect on online impulsive buying, convenience has a positive and significant impact on online impulsive buying and attitude loyalty, and attitude loyalty has a positive and significant impact on online impulsive buying.

DOI 10.20525/ijrbs.v12i6.28761 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

The influence of consumer traits on impulsive buying

Radhitya Pratama K · Ratna Roostika

International Journal of Business Ecosystem & Strategy · 2023

Read abstract

The e-commerce industry significantly expanded during a negative economic recession. This is because, during the COVID-19 epidemic, many countries enacted social limitations that caused various economic activities to diminish in many sectors and resulted in layoffs in various businesses because there was no production activity. Through consumer attributes such as impulsive buying tendencies, shopping enjoyment preferences, moods, and personal situations, this study aims to understand the factors contributing to impulsive buying. The SEM statistical method and PLS software were used to test the research model empirically. Sampling with a purpose was chosen. Two hundred legitimate respondents were used as samples to test the assumptions. First, the study found that impulsive buying patterns, moods, and situations all positively influence impulsive purchases. Second, other elements, such spending patterns, are not significant. This demonstrates that customers can enjoy looking up information about the desired goods, but it hasn't yet led customers to make impulsive purchases at online shops.

DOI 10.36096/ijbes.v5i2.3910 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

The influence of online customer shopping experience on online impulsive buying in e-commerce with attitudinal loyalty as a mediation variable

Hana Rizquna Nabela · Albari Albari

International Journal of Research in Business and Social Science · 2023

Read abstract

Psychological components of Online Customer's Shopping Experience (OCSE) on attitude loyalty and online impulsive buying in e-commerce. The research approach used is quantitative. The population was all Indonesian people who used and bought e-commerce products. The sample was determined using a non-probability sampling method with a convenience sampling technique. The number of samples is 470 respondents. Research data were analyzed using AMOS 24 software with Structural Equation Model (SEM) modeling. The results of SEM analysis showed that informativeness has a positive and significant effect on online impulsive buying, convenience has a positive and significant impact on online impulsive buying and attitude loyalty, and attitude loyalty has a positive and significant impact on online impulsive buying.

DOI 10.20525/ijrbs.v12i6.28761 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

The influence of intensity of TikTok use, utilitarian value, and hedonic value on impulsive buying mediated by urge to buy impulsively

Vitria Zhuanita Rani · Ainur Rofiq · Himmiyatul Amanah Jiwa Juwita

International Journal of Research in Business and Social Science · 2023

Read abstract

The aim of this paper is to find out whether there is a relationship between the intensity of using Tiktok, utilitarian value, hedonic value, and impulse buying. TikTok is a social commerce with a live shopping service that provides convenience in online shopping and allows direct interaction with sellers while browsing social media without switching applications. This study uses the stimulus-organism-response (SOR) theory, dividing the stimulus into internal and external factors. Internal factors include utilitarian value and hedonic value, while external factors are the intensity of use of the TikTok application. Respondents in this study are married women who use Tiktok. This research is causality research with a total sample of 120 respondents. The data collection method uses a questionnaire and is analyzed using SEM-PLS. The findings of this study indicate that the intensity of TikTok use significantly affects impulse purchases. However, utilitarian and hedonic values have no significant effect on impulse purchases. For the mediating effect, the impulse to buy impulsively mediates the relationship between the intensity of TikTok use and the hedonic value of impulse buying. However, it does not mediate the utilitarian value of impulse buying.

DOI 10.20525/ijrbs.v12i5.26905 Crossref citations10 OpenAlex citations
JOURNAL ARTICLE

The influence of consumer traits on impulsive buying

Radhitya Pratama K · Ratna Roostika

International Journal of Business Ecosystem & Strategy · 2023

Read abstract

The e-commerce industry significantly expanded during a negative economic recession. This is because, during the COVID-19 epidemic, many countries enacted social limitations that caused various economic activities to diminish in many sectors and resulted in layoffs in various businesses because there was no production activity. Through consumer attributes such as impulsive buying tendencies, shopping enjoyment preferences, moods, and personal situations, this study aims to understand the factors contributing to impulsive buying. The SEM statistical method and PLS software were used to test the research model empirically. Sampling with a purpose was chosen. Two hundred legitimate respondents were used as samples to test the assumptions. First, the study found that impulsive buying patterns, moods, and situations all positively influence impulsive purchases. Second, other elements, such spending patterns, are not significant. This demonstrates that customers can enjoy looking up information about the desired goods, but it hasn't yet led customers to make impulsive purchases at online shops.

DOI 10.36096/ijbes.v5i2.3910 Crossref citations0 OpenAlex citations

Data coverage & freshness

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:55 UTC · ijrbscomplete · ijrbs · 20 Oct 2026 19:50 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
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