CiteNScope — Scholarly Index & Analytics
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CiteNScope / Analytics

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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 2/2 recordsLast OpenAlex observation 21 Oct 2026, 07:22 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS62/2 with known counts
OPENALEX CITATIONS82/2 with known counts
OPENALEX MEAN4.0Per article with a known count
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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

National Cheng Kung University22/2 records with data

Countries

Taiwan22/2 records with data

Primary topics

Electoral Systems and Political Participation1Service and Product Innovation12/2 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: 2/2 articles. Latest history observation: 2026-10-21T07:22:52.658556+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.

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Display range
International 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
2 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS2
CROSSREF CITATIONS6
CROSSREF · CITED PUBLICATIONS50.0%
CROSSREF · MEAN CITATIONS3.0

Crossref citation coverage: 2 / 2 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 CITATIONS8
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY4.02 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY4.0

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

OpenAlex citation distributionNo citations11–506–20121+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

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Countries

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Primary topics

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 2 / 2 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): 2026-10-21T07:22:50.504818+00:00 — 2026-10-21T07:22:52.658556+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

52.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22025 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 2/22026 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 2/2 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications022/2
2018All selected publications022/2
2019All selected publications022/2
2020All selected publications022/2
2021All selected publications022/2
2022All selected publications022/2
2023All selected publications022/2
2024All selected publications022/2
2025All selected publications522/2
2026All selected publications322/2

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.

Mean3.0
Median3.0
No citations11–506–20121+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 Research in Business and Social Science
SSBFNET
2682/23.03.050.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

Crafting digital business ecosystems for cultural and creative industries

Shang-Fang Hsu · Xin-Yao Wang · Chia-Han Yang · Shyhnan Liou

International Journal of Research in Business and Social Science · 2023

Read abstract

The Cultural and Creative Industries (CCI) thrive on innovation and creativity, necessitating robust cross-domain collaboration among diverse stakeholders. However, the current state of CCI co-creation mechanisms is marked by inadequacies. The primary objective is to provide practical and effective strategic guidance for co-creation endeavors within the dynamic CCI landscape. This study employs the Root Cause Analysis (RCA) method to identify and analyze critical elements for industrial co-creation, offering a comprehensive framework for understanding the intricacies of co-creation processes. The Cultural and Creative Industries Digital Business Ecosystem (CCI-DBE) model is then developed to encompass four foundational pillars: participation of multiple stakeholders, mechanism of co-creation, uniqueness of consumer experience, and output of co-created value. Participation of multiple stakeholders recognizes the importance of integrating perspectives from content creators, other companies, suppliers, and customers. The mechanism of co-creation delves into the necessity of a robust platform, supported by technological infrastructure, to facilitate seamless resource and knowledge exchange. The uniqueness of consumer experience emphasizes the need for tailoring offerings to meet consumers' unique experiential and meaningful needs. Output of co-created value focuses on enhancing product novelty, resource sharing, communication efficiency, information interaction, and cross-domain integration. This CCI-DBE model not only contributes to academic discourse but also provides actionable insights for practitioners seeking to navigate and enhance the co-creation process within the evolving CCI landscape. It stands as a valuable guide for fostering innovation, collaboration, and strategic alignment in the CCI sector.

DOI 10.20525/ijrbs.v12i9.30456 Crossref citations8 OpenAlex citations
JOURNAL ARTICLE

Examining the perceived values toward regional factions and its impacts on the local election: The reasoned action approach perspective

Jing-Yurn Chen

International Journal of Research in Business and Social Science · 2023

Read abstract

The regional faction, which is frequently perceived as a threat to the democratic system, has received limited attention regarding its representation of values in contemporary society and influence on voting behavior. This study employs the reasoned action approach (RAA) to investigate the influence of attitudes and subjective norms on electoral intention, incorporating perceived utilitarian and hedonic values toward the regional faction. The study hypothesizes that these value perceptions, in conjunction with the theoretical predictors, will collectively influence the voting intentions of electors. Two months before the local elections in Taiwan in 2022, 469 respondents provided information. Using SPSS 25.0, descriptive statistics and regression analyses were used to analyze the data. Principal findings indicate that instrumental attitude, affective attitude, and descriptive norm positively influence electoral intention, whereas injunctive norm negatively influences electoral intention. Moreover, hedonic values moderate the relationships between affective attitude and intention and between injunctive norm and intention. Likewise, utilitarian values moderate the relationship between injunctive norms and intent. These findings highlight the significance of voters' perceptions of the regional faction's value, casting light on its impact on electoral intent. During the investigated local election in Taiwan, the interaction of attitudes, norms, and values emerged as a crucial factor influencing voter behavior. These findings enhance our comprehension of the intricate decision-making processes within the electoral context and provide valuable insights for political campaigns and policy considerations.

DOI 10.20525/ijrbs.v12i6.28200 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Crafting digital business ecosystems for cultural and creative industries

Shang-Fang Hsu · Xin-Yao Wang · Chia-Han Yang · Shyhnan Liou

International Journal of Research in Business and Social Science · 2023

Read abstract

The Cultural and Creative Industries (CCI) thrive on innovation and creativity, necessitating robust cross-domain collaboration among diverse stakeholders. However, the current state of CCI co-creation mechanisms is marked by inadequacies. The primary objective is to provide practical and effective strategic guidance for co-creation endeavors within the dynamic CCI landscape. This study employs the Root Cause Analysis (RCA) method to identify and analyze critical elements for industrial co-creation, offering a comprehensive framework for understanding the intricacies of co-creation processes. The Cultural and Creative Industries Digital Business Ecosystem (CCI-DBE) model is then developed to encompass four foundational pillars: participation of multiple stakeholders, mechanism of co-creation, uniqueness of consumer experience, and output of co-created value. Participation of multiple stakeholders recognizes the importance of integrating perspectives from content creators, other companies, suppliers, and customers. The mechanism of co-creation delves into the necessity of a robust platform, supported by technological infrastructure, to facilitate seamless resource and knowledge exchange. The uniqueness of consumer experience emphasizes the need for tailoring offerings to meet consumers' unique experiential and meaningful needs. Output of co-created value focuses on enhancing product novelty, resource sharing, communication efficiency, information interaction, and cross-domain integration. This CCI-DBE model not only contributes to academic discourse but also provides actionable insights for practitioners seeking to navigate and enhance the co-creation process within the evolving CCI landscape. It stands as a valuable guide for fostering innovation, collaboration, and strategic alignment in the CCI sector.

DOI 10.20525/ijrbs.v12i9.30456 Crossref citations8 OpenAlex citations
JOURNAL ARTICLE

Examining the perceived values toward regional factions and its impacts on the local election: The reasoned action approach perspective

Jing-Yurn Chen

International Journal of Research in Business and Social Science · 2023

Read abstract

The regional faction, which is frequently perceived as a threat to the democratic system, has received limited attention regarding its representation of values in contemporary society and influence on voting behavior. This study employs the reasoned action approach (RAA) to investigate the influence of attitudes and subjective norms on electoral intention, incorporating perceived utilitarian and hedonic values toward the regional faction. The study hypothesizes that these value perceptions, in conjunction with the theoretical predictors, will collectively influence the voting intentions of electors. Two months before the local elections in Taiwan in 2022, 469 respondents provided information. Using SPSS 25.0, descriptive statistics and regression analyses were used to analyze the data. Principal findings indicate that instrumental attitude, affective attitude, and descriptive norm positively influence electoral intention, whereas injunctive norm negatively influences electoral intention. Moreover, hedonic values moderate the relationships between affective attitude and intention and between injunctive norm and intention. Likewise, utilitarian values moderate the relationship between injunctive norms and intent. These findings highlight the significance of voters' perceptions of the regional faction's value, casting light on its impact on electoral intent. During the investigated local election in Taiwan, the interaction of attitudes, norms, and values emerged as a crucial factor influencing voter behavior. These findings enhance our comprehension of the intricate decision-making processes within the electoral context and provide valuable insights for political campaigns and policy considerations.

DOI 10.20525/ijrbs.v12i6.28200 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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