CiteNScope — Scholarly Index & Analytics
Discover / Analytics RESEARCH INTELLIGENCE
CiteNScope / Analytics

Explore the evidence.
Understand the reach.

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

Compare journals ↗
OpenAlex coverage 100.0% · 31/31 recordsLast OpenAlex observation 21 Oct 2026, 07:23 UTC
PUBLICATIONS31In the selected collection
CROSSREF CITATIONS2231/31 with known counts
OPENALEX CITATIONS2631/31 with known counts
OPENALEX MEAN0.84Per article with a known count
Explore articles 31 →
Filter collection Publication years, search & more
Reset
institution: I-Shou University Remove ×
Your research collection

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.

View data & coverage

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.

View data & coverage

Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

I-Shou University31Cheng Shiu University131/31 records with data

Countries

Taiwan3131/31 records with data

Primary topics

Technology Adoption and User Behaviour5Job Satisfaction and Organizational Behavior3Corporate Social Responsibility Reporting231/31 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.

View data & coverage

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: 31/31 articles. Latest history observation: 2026-10-21T07:23:09.001310+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
31 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS31
CROSSREF CITATIONS22
CROSSREF · CITED PUBLICATIONS32.3%
CROSSREF · MEAN CITATIONS0.71

Crossref citation coverage: 31 / 31 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 CITATIONS26
DOI MATCH COVERAGE100.0%31 / 31 publications
MEAN · KNOWN COUNTS ONLY0.8431 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0

Observation range: 21 Oct 2026 00:14 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 citation distributionNo citations201–5116–20021+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.

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 31 / 31 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): 2026-10-21T00:14:29.313081+00:00 — 2026-10-21T07:23:09.001310+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

115.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 31/312018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 31/312019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 31/312020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 31/312021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 31/312022 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 31/312023 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 31/312024 · All selected publications · OpenAlex · Citations received by year: 7 · Annual history coverage 31/312025 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 31/312026 · All selected publications · OpenAlex · Citations received by year: 11 · Annual history coverage 31/31 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications03131/31
2018All selected publications03131/31
2019All selected publications03131/31
2020All selected publications03131/31
2021All selected publications03131/31
2022All selected publications23131/31
2023All selected publications13131/31
2024All selected publications73131/31
2025All selected publications53131/31
2026All selected publications113131/31

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.

Mean0.71
Median0
No citations211–5106–20021+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
7117/70.14014.37/7 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
24212524/240.880.037.524/24 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 31 →

Most cited · Crossref

JOURNAL ARTICLE

The construction of tribal learning mechanisms in indigenous higher education

Marang Saway · Tsung-Lin Wu · Ren-Fang Chao

International Journal of Research in Business and Social Science · 2022

Read abstract

In this study, we developed a tribal learning model based on indigenous knowledge to expand Taiwan's indigenous higher education system. The model adopts a culturally responsive teaching strategy that conforms to the cultural background and satisfies the learning needs of indigenous learners. The instructional design of the model is based on the outcomes of a literature review and comprises five stages: preparation, communication, execution, reflection, and feedback. The proposed model allows educators to develop culturally appropriate teaching plans that include indigenous knowledge. Applying the model allows educators to hone their self-study skills while improving the learning effectiveness of their learners.

DOI 10.20525/ijrbs.v11i7.19974 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Applying the UTAUT model to explore user behavior in ChatGPT usage

Yen-Ling Chou · Yu-Lung Wu · Ren-Fang Chao

International Journal of Research in Business and Social Science · 2025

Read abstract

Against the backdrop of rapid advancements in generative artificial intelligence (GenAI), ChatGPT has emerged as a representative application, drawing significant research interest in user behavior patterns. This study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) Model to investigate the key factors influencing the adoption of ChatGPT among users in Taiwan. Using a cross-sectional survey approach, we recruited a sample of 454 Taiwanese ChatGPT users through social media and online forums. The study analyzed the impact of four key constructs—performance expectancy, effort expectancy, social influence, and facilitating conditions—on behavioral intention and actual usage behavior. The results indicated that performance expectancy and effort expectancy play pivotal roles in shaping behavioral intention, while facilitating conditions significantly affect actual usage behavior. Furthermore, cultural background exerts a critical moderating effect on the influence of social factors. These findings highlight the unique characteristics of user behavior in Taiwan, provide practical insights for optimizing the design and promotion of GenAI tools, and offer valuable implications for technology adoption policies.

DOI 10.20525/ijrbs.v14i2.40473 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

The influence of brand equity on purchase intention toward hand-shaken beverages

Han-Yee Leong · Ren-Fang Chao

International Journal of Research in Business and Social Science · 2024

Read abstract

Hand-shaken beverages represent a unique business model in Taiwan. This study explores the impact of four dimensions of brand equity on consumers' word-of-mouth and purchase intention regarding hand-shaken beverages. A survey was conducted among hand-shaken beverage consumers. A total of 352 valid questionnaires were recovered, and the data were analyzed using structural equation modeling. The results showed that consumers' perceptions of brand awareness, quality, and brand association affected word-of-mouth. These dimensions had an indirect impact on purchase intention through word-of-mouth, suggesting that when consumers develop an attachment to a brand, they engage in positive behaviors concerning the brand. However, due to the high homogeneity and lack of distinctiveness of Taiwanese hand-shaken beverage products, they fail to attract consumer loyalty.

DOI 10.20525/ijrbs.v13i5.34663 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Examining the impact of social influence on purchase behavior of online food delivery in Vietnam

Wanching Chang · Ren-Fang Chao · Ngoc Anh Le

International Journal of Research in Business and Social Science · 2023

Read abstract

This article investigates the impact of social influence on online food delivery (OFD) purchase behavior in Vietnam, specifically examining the moderating role of trust and physical obstacles during the COVID-19 pandemic. A total of 378 respondents participated in the research, and the findings highlight the significance of social networks and interpersonal relationships in the OFD market. Regarding the role of trust as a moderator, the findings highlighting the importance of building trustworthiness and credibility in the OFD industry. The findings suggest that physical obstacles, such as the closure of non-essential stores and social distancing measures, weaken the influence of social factors on consumers' behavior. These changes in individuals' lifestyles have introduced physical barriers to traditional dining experiences, consequently increasing reliance on online food delivery (OFD) services. Overall, this study contributes to the existing literature on consumer behavior and provides insights for industry practitioners and policymakers to develop effective marketing and communication strategies and support mechanisms to facilitate the growth and sustainability of the online food delivery industry in Vietnam.

DOI 10.20525/ijrbs.v12i6.27043 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Influence of environmental stimulation on impulse purchases in shopping malls

Chor-Sum Au-Yeung · Ren-Fang Chao · Ruei-Lian Chang

International Journal of Research in Business and Social Science · 2024

Read abstract

Impulse purchases play a vital role in the sales revenue of shopping malls. This study utilized the Stimulus-Organism-Response framework to explore how shopping mall atmosphere stimulates consumer emotions, thereby impacting impulse purchase behavior. Structural equation modeling was employed for data analysis. The findings revealed that both positive and negative emotions can act as mediators in the process of forming impulse purchase behavior, albeit with distinct and sometimes antagonistic effects. This phenomenon is attributed to the differential impact of the service atmosphere on stimulating consumer emotions. Additionally, the study identified that only positive emotions can serve as mediators between spatial atmosphere and impulse purchases. In essence, stimuli in the shopping environment can influence consumer emotional responses, thereby prompting impulse purchase behavior.

DOI 10.20525/ijrbs.v13i4.33212 Crossref citations2 OpenAlex citations

Selected results

JOURNAL ARTICLE

The construction of public value in aesthetic education

Ren-Fang Chao · Yi-Sian Du

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

As aesthetic education extends beyond the classroom, it no longer concerns only individual cultivation of aesthetic sensibility, but also involves the formation of public value. However, existing studies remain insufficient in explaining how it is constructed as public value through cross-organizational collaboration within local contexts. Therefore, positioned as a conceptual paper with an illustrative policy-case orientation, this study adopts a public value management perspective to analyze the interactions among governments, schools, communities, and arts nonprofit organizations in the process of publicizing aesthetic education. The Taiwanese policy and practice examples are used as illustrative cases to clarify how cross-organizational collaboration supports the proposed framework, rather than as empirical cases for comparative or generalizable case-study analysis. The findings indicate that the public value of aesthetic education is not naturally generated by policies or curricula; rather, it is gradually formed through continuous coordination, integration, and collaboration among multiple actors, in which arts nonprofit organizations play a central intermediary role. Finally, this study proposes a cross-organizational construction mechanism as a reference for cultural governance and educational practice.

DOI 10.36096/ijbes.v8i3.12890 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Examining the effectiveness of health food advertising based on Optimal Arousal Theory

Chih-Yu Wang · Ren-Fang Chao · Chor-Sum Au-Yeung · Yu-Lung Wu

International Journal of Research in Business and Social Science · 2026

Read abstract

With the increasing awareness of health and the widespread adoption of social media advertising, health food advertising has become an important source of information influencing consumer decision-making. However, existing studies have primarily focused on the effects of attitudes or behaviors, with limited attention to the underlying psychological mechanisms. Therefore, this study applies optimal arousal theory to examine how expertise and trustworthiness in health food advertising influence consumers’ purchase intention through perceived information relevance. The findings indicate that both expertise and trustworthiness positively affect perceived information relevance, which in turn significantly enhances purchase intention. These results suggest that individuals tend to pursue an optimal level of stimulation, and when advertising information evokes an appropriate level of psychological arousal and aligns with personal needs, it is more likely to facilitate positive behavioral responses. In addition to confirming the importance of perceived information relevance, this study extends optimal arousal theory from the level of sensory stimulation to the cognitive level, thereby advancing the development of optimal arousal theory research.

DOI 10.20525/ijrbs.v15i4.51830 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

How do online browsing motivations influence impulse buying? A uses and gratifications perspective

Shing-Chi Fan · Ren-Fang Chao · Chuan-Chun Wu · Zhe-Cheng Chen

International Journal of Research in Business and Social Science · 2026

Read abstract

This study aims to examine the effects of utilitarian and hedonic browsing on impulse buying tendency and the urge to buy impulsively in online shopping contexts. It further evaluates the mediating role of impulse buying tendency in this relationship. Drawing on Uses and Gratifications (U&G) theory and the Stimulus-Organism-Response (S-O-R) framework, a conceptual model is developed. A questionnaire survey was conducted, and 393 valid responses from online consumers were collected. Structural Equation Modeling (SEM) was employed to analyze the data and test the proposed hypotheses. The findings demonstrate that (i) hedonic browsing has a significant positive effect on impulse buying tendency, which subsequently increases the urge to buy impulsively; (ii) utilitarian browsing has a significant negative effect on impulse buying tendency and does not directly influence impulse buying urges; and (iii) impulse buying tendency plays a critical mediating role in transforming browsing motivations into immediate purchase impulses. These results suggest that impulse buying is not purely an immediate reaction but is shaped through underlying psychological tendencies. This study contributes to consumer behavior literature by extending the application of U&G theory in digital commerce contexts and provides practical implications for online platform design and marketing strategies.

DOI 10.20525/ijrbs.v15i4.51730 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

How leisure crafting influences leisure satisfaction: A self-determination theory perspective

Jui-Chieh Chang · Ren-Fang Chao · Liang-Chien Lee

International Journal of Research in Business and Social Science · 2026

Read abstract

This paper aims to examine the effects of leisure crafting on leisure satisfaction from a self-determination theory perspective. In this paper, it is also aimed to evaluate the mediating role of leisure benefits and the moderating role of work–leisure conflict within an integrated theoretical framework. We employed a quantitative analytical approach using structural equation modeling to test the proposed hypotheses and assess both direct and indirect relationships among the variables. A dataset of 325 hospitality industry newcomers in northern Taiwan was collected through a structured questionnaire and analyzed to examine the relationships among leisure crafting, leisure benefits, leisure satisfaction, and work–leisure conflict. Main findings of the study demonstrate that (i) leisure crafting has a significant positive effect on leisure benefits, indicating that proactive adjustment of leisure activities enhances psychological and social gains; (ii) leisure benefits significantly mediate the relationship between leisure crafting and leisure satisfaction, suggesting that psychological need satisfaction functions as a key explanatory mechanism; and finally (iii) work–leisure conflict negatively moderates the relationship between leisure crafting and leisure benefits, such that higher levels of conflict weaken the positive influence of leisure crafting on perceived benefits. Overall, the results extend the application of self-determination theory to the leisure domain and provide empirical evidence for the motivational mechanisms underlying leisure satisfaction in high work-demand contexts.

DOI 10.20525/ijrbs.v15i3.50360 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Strategic design and governance of type 2 diabetes care ecosystems: A cross-national comparative analysis across seven countries

Tse-Ping Tang · Jyi-Chang Tsai · Yu Lung Wu

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

This study aims to examine Type 2 diabetes care as a strategic health ecosystem and to identify how differences in ecosystem design and coordination strategies influence system-level performance across countries. A cross-national comparative strategy analysis is conducted using secondary data from international and national health statistics covering the United States, the United Kingdom, Germany, Japan, China, India, and Taiwan during the period 2015–2024. The analysis is guided by an ecosystem-based strategic framework that integrates contextual system characteristics, core care strategies, and intermediate performance outcomes, including prevention orientation, accessibility of care resources, technological integration, coordination mechanisms, and community engagement. Multi-dimensional analytical and visualization techniques are applied to compare strategic configurations and performance patterns across national care ecosystems. The results reveal a continuous global increase in the prevalence of Type 2 diabetes, alongside substantial heterogeneity in care effectiveness across countries. Stronger ecosystem performance is associated with integrated care strategies, advanced digital coordination, stable primary care structures, and high accessibility supported by universal coverage and community-based networks. The study concludes that effective management of chronic disease depends not only on medical interventions but also on the strategic design and governance of healthcare ecosystems, emphasizing the importance of prevention-oriented strategies, digital maturity, reduction of access disparities, and localized ecosystem activation as critical levers for improving long-term system performance.

DOI 10.36096/ijbes.v8i2.11860 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
Full import history & methodology →