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% · 21/21 recordsLast OpenAlex observation 03 Nov 2026, 11:24 UTC
Data freshness · articles and citations

New articles are checked daily. Citation sources are refreshed monthly. All times below are UTC. A successful check may find no new publications.

International Journal of Business Ecosystem & Strategy
Last article check: 04 Nov 2026 19:10 · Completed
Last successful article refresh: 04 Nov 2026 19:10
Next article check due: 05 Nov 2026 19:10
Crossref refresh: 21 Oct 2026 00:14 · OpenAlex refresh: 21 Oct 2026 00:14
Bussecon Review of Social Sciences
Last article check: 04 Nov 2026 19:11 · Completed
Last successful article refresh: 04 Nov 2026 19:11
Next article check due: 05 Nov 2026 19:11
Crossref refresh: 21 Oct 2026 00:01 · OpenAlex refresh: 21 Oct 2026 00:02
PUBLICATIONS21In the selected collection
CROSSREF CITATIONS9121/21 with known counts
OPENALEX CITATIONS12721/21 with known counts
OPENALEX MEAN6.05Per article with a known count
Explore articles 21 →
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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

Ibn Haldun University12Istanbul Medipol University7Bahçeşehir University121/21 records with data

Countries

Turkey2121/21 records with data

Primary topics

Stress and Burnout Research2Multi-Criteria Decision Making1Blockchain Technology Applications and Security121/21 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: 21/21 articles. Latest history observation: 2026-11-03T11:24:20.956936+00:00. Source totals are never added together.
Research side by side

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Display range
Bussecon Review of Social SciencesInternational Journal of Business Ecosystem & Strategy

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
21 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS21
CROSSREF CITATIONS91
CROSSREF · CITED PUBLICATIONS81.0%
CROSSREF · MEAN CITATIONS4.33

Crossref citation coverage: 21 / 21 publications (100.0%). Latest observation: 21 Oct 2026, 00:14 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 CITATIONS127
DOI MATCH COVERAGE100.0%21 / 21 publications
MEAN · KNOWN COUNTS ONLY6.0521 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY4

Observation range: 27 Oct 2026 15:03 UTC — 03 Nov 2026 11:24 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations41–596–20721+1Unknown0

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 21 / 21 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): 2026-10-27T15:03:43.600859+00:00 — 2026-11-03T11:24:20.956936+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

3216.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 21/212018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 21/212019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 21/212020 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 21/212021 · All selected publications · OpenAlex · Citations received by year: 7 · Annual history coverage 21/212022 · All selected publications · OpenAlex · Citations received by year: 21 · Annual history coverage 21/212023 · All selected publications · OpenAlex · Citations received by year: 32 · Annual history coverage 21/212024 · All selected publications · OpenAlex · Citations received by year: 27 · Annual history coverage 21/212025 · All selected publications · OpenAlex · Citations received by year: 23 · Annual history coverage 21/212026 · All selected publications · OpenAlex · Citations received by year: 13 · Annual history coverage 21/21 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications02121/21
2018All selected publications02121/21
2019All selected publications02121/21
2020All selected publications42121/21
2021All selected publications72121/21
2022All selected publications212121/21
2023All selected publications322121/21
2024All selected publications272121/21
2025All selected publications232121/21
2026All selected publications132121/21

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.

Mean4.33
Median2
No citations41–5116–20621+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
Bussecon Review of Social Sciences
Bussecon International Academy
851678/86.384.575.08/8 · 100.0%
International Journal of Business Ecosystem & Strategy
Bussecon International Academy
13406013/133.08284.613/13 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 21 →

Most cited · Crossref

JOURNAL ARTICLE

Examining the use of artificial intelligence in recruitment processes

Ugur Karaboga · Pelin Vardarlier

Bussecon Review of Social Sciences · 2020

Read abstract

The recruitment process is more of an issue for many businesses. The process of determining the appropriate candidate to hire is often a costly, time-consuming process. Besides, due to incorrect decision-making or lack of objectivity in hiring processes, recruitment processes may not proceed effectively. Businesses are trying to use technology in their recruitment processes to avoid these problems. Currently, many businesses use internet and software technologies to receive applications and evaluate candidates. But despite these technologies, it takes time and additional personnel costs for people to coordinate all processes. Due to these and similar situations, there has been an increase in the use of artificial intelligence technologies in recruitment processes in the world recently. The use of artificial intelligence in recruitment processes has the effect of reducing costs and decision-making errors and appears to be beneficial in saving time. In this study, the use of artificial intelligence in the recruitment processes of businesses in Turkey was examined. In this context, interviews were conducted with the human resources managers of 22 businesses. According to research results, it was understood that artificial intelligence was benefited only as an auxiliary element in recruitment processes. It has been found that businesses do not rely much on artificial intelligence in their recruitment processes, so they do not use it or partially use it.

DOI 10.36096/brss.v2i4.23420 Crossref citations24 OpenAlex citations
JOURNAL ARTICLE

Boosting Resilience through Spiritual Well-being: COVID-19 Example

Elif Baykal

Bussecon Review of Social Sciences · 2020

Read abstract

Spiritual well-being is the affirmation of one’s life in a relation to external world, one’s ownself and a transcendental power like God. It reflects positive feelings, attitudes, and perceptions leading to a sense of identity, wholeness, peace, harmony, and purpose in life. In this study, it is predicted that individuals with high spiritual well-being will be more spiritually resistant during the COVID-19 pandemic, which is one of the most noteworthy periods when people need to be psychologically strong and resilient. In this study, resilience has been defined as the individual endurance against difficulties and the ability to bounce back and even get better. Hence we hypothesized that spiritual well-being of individuals will be effective on their resilience. We conducted our study in Turkey among adults older than 20 years old. We obtained 384 usable data and we analysed our date by using SPSS 20.0 program. Results confirmed the assumption of this study, regarding spiritual well-being/ resilience relationship.

DOI 10.36096/brss.v2i4.22413 Crossref citations17 OpenAlex citations
JOURNAL ARTICLE

E-Commerce marketing strategies in industry 4.0

Ramdani Murdiana · Zineb Hajaoui

International Journal of Business Ecosystem & Strategy · 2020

Read abstract

The business transition process from conventional to digital forms causes companies to think about strategic steps to make the new business processes that are in it become sustainable. One way is to take advantage of technological developments in the era of industry 4.0 that change the way work is done from the conventional way towards digital technology by utilizing e-commerce. This research uses descriptive research method with a qualitative analysis approach. Data collection techniques in this study used primary data and secondary data approaches. Data obtained from research are empirical data. The methodology used in this study is a conceptual review, which is a method carried out by collecting data and information related to market potential, changes in consumer behavior and how to use e-commerce technology as an alternative solution in innovating marketing strategies with the aim to capture potential market potential. greater than. The results of the research resulted nine e-commerce strategies in the industry 4.0 era to achieve the goals of a business with challenges and high competitiveness in the e-commerce market, business people in industry 4.0 era can use 9 strategies to successful in this technological era, including; framing the market opportunity; formulating the marketing strategy; designing the customer experience; crafting the customer interface; designing the marketing program; leveraging customer information through technology; character and competent delegation; systemized market customers; and evaluating the marketing program.

DOI 10.36096/ijbes.v2i1.16511 Crossref citations18 OpenAlex citations
JOURNAL ARTICLE

A theoretical review of burnout syndrome and perspectives on burnout models

Yunus Emre Ozturk

Bussecon Review of Social Sciences · 2020

Read abstract

With the negative effects of global financial crisis in 2008-2009 and recent Covid 19 pandemic, the need for stress management for individuals and business organizations is significantly increasing. However, the latest advances in digitalization and digital transformation of service companies are reshaping and redesigning the working conditions. This study aimed to explain how stress and burnout syndrome affects the individuals and business organizations. It is also aimed to maintain a theoretical perspective on burnout syndrome models. Main contribution of the paper to literature is its theoretical perspective with fundamental theories and models of burnout syndrome.

DOI 10.36096/brss.v2i4.2358 Crossref citations12 OpenAlex citations
JOURNAL ARTICLE

A systematic literature review on multi-criteria decision making in disaster management

Fawz Manyaga · Nilufer Nilufer · Zineb Hajaoui

International Journal of Business Ecosystem & Strategy · 2020

Read abstract

This paper through a systematic literature review portrays the academic work that has been done in disaster management by applying multi-criteria decision making. This study reviews 36 academic articles that applied multi-criteria decision-making planning and management of natural disasters i.e. tsunami, floods, heavy rains, earthquake, land sliding, epidemic, pandemic, etc. This study finds out that lack of effective planning and management pre and post disasters is causing loss of human life, temporary migration of locals to safer places, loss of properties, and economic losses. Once the crisis is over, it requires efforts and additional finances to bring life to normal. There are regions where disasters are periodic such as floods in rivers or due to monsoon season. But with effective planning and pre-determined priorities, loss to human life can be mitigated. Disaster management departments need effective planning tools to forecast imminent disasters and prepare accordingly. This study is very relevant to the recent global pandemic COVID-19 that has caused human and economic losses and will leave footprints for the coming years and generations

DOI 10.36096/ijbes.v2i2.1978 Crossref citations12 OpenAlex citations

Selected results

JOURNAL ARTICLE

Boosting Resilience through Spiritual Well-being: COVID-19 Example

Elif Baykal

Bussecon Review of Social Sciences · 2020

Read abstract

Spiritual well-being is the affirmation of one’s life in a relation to external world, one’s ownself and a transcendental power like God. It reflects positive feelings, attitudes, and perceptions leading to a sense of identity, wholeness, peace, harmony, and purpose in life. In this study, it is predicted that individuals with high spiritual well-being will be more spiritually resistant during the COVID-19 pandemic, which is one of the most noteworthy periods when people need to be psychologically strong and resilient. In this study, resilience has been defined as the individual endurance against difficulties and the ability to bounce back and even get better. Hence we hypothesized that spiritual well-being of individuals will be effective on their resilience. We conducted our study in Turkey among adults older than 20 years old. We obtained 384 usable data and we analysed our date by using SPSS 20.0 program. Results confirmed the assumption of this study, regarding spiritual well-being/ resilience relationship.

DOI 10.36096/brss.v2i4.22413 Crossref citations17 OpenAlex citations
JOURNAL ARTICLE

Examining the use of artificial intelligence in recruitment processes

Ugur Karaboga · Pelin Vardarlier

Bussecon Review of Social Sciences · 2020

Read abstract

The recruitment process is more of an issue for many businesses. The process of determining the appropriate candidate to hire is often a costly, time-consuming process. Besides, due to incorrect decision-making or lack of objectivity in hiring processes, recruitment processes may not proceed effectively. Businesses are trying to use technology in their recruitment processes to avoid these problems. Currently, many businesses use internet and software technologies to receive applications and evaluate candidates. But despite these technologies, it takes time and additional personnel costs for people to coordinate all processes. Due to these and similar situations, there has been an increase in the use of artificial intelligence technologies in recruitment processes in the world recently. The use of artificial intelligence in recruitment processes has the effect of reducing costs and decision-making errors and appears to be beneficial in saving time. In this study, the use of artificial intelligence in the recruitment processes of businesses in Turkey was examined. In this context, interviews were conducted with the human resources managers of 22 businesses. According to research results, it was understood that artificial intelligence was benefited only as an auxiliary element in recruitment processes. It has been found that businesses do not rely much on artificial intelligence in their recruitment processes, so they do not use it or partially use it.

DOI 10.36096/brss.v2i4.23420 Crossref citations24 OpenAlex citations
JOURNAL ARTICLE

A theoretical review of burnout syndrome and perspectives on burnout models

Yunus Emre Ozturk

Bussecon Review of Social Sciences · 2020

Read abstract

With the negative effects of global financial crisis in 2008-2009 and recent Covid 19 pandemic, the need for stress management for individuals and business organizations is significantly increasing. However, the latest advances in digitalization and digital transformation of service companies are reshaping and redesigning the working conditions. This study aimed to explain how stress and burnout syndrome affects the individuals and business organizations. It is also aimed to maintain a theoretical perspective on burnout syndrome models. Main contribution of the paper to literature is its theoretical perspective with fundamental theories and models of burnout syndrome.

DOI 10.36096/brss.v2i4.2358 Crossref citations12 OpenAlex citations
JOURNAL ARTICLE

The role of employer brand practices in human resources management in job applications on company preference

Abdullah Turk · Pelin Vardarlier · Muhammet Ali Hazar

International Journal of Business Ecosystem & Strategy · 2020

Read abstract

Employer branding is an important issue that businesses cannot neglect, as it is the process of creating a brand for employees and potential candidates. Especially with the development of technology, it has become easier to reach many resources. However, it has always been more difficult to reach talented human resources. At this point, discovering, attracting, and working with talented employees for a long time has attributed a key role to the employer brand. In this direction, the aim of the study is to investigate the roles of employer branding practices in attracting talents to the company in job applications. Content analysis, which is a qualitative analysis method, was used in the study. Maxqda 20 software program was used to access the findings of this analysis. In the research findings, it was seen that concepts such as reputation, communication, awareness, and the concept of Employer Brand were used together intensively. As a result of the research; It has been understood that businesses that want to attract talented employees to the company use the employer brand and communicate effectively with the external environment. It has been seen that this interaction supports the corporate reputation and this has played an important role in increasing the awareness of the company and in the preference and reliability

DOI 10.36096/ijbes.v2i4.2213 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

The evaluation of common contemporary occupational accident models using two accident investigations

Zeynep Sagir · Ertugrul Tacgin

International Journal of Business Ecosystem & Strategy · 2020

Read abstract

The purpose of this paper is to compare three contemporary accident causation models, namely the Swiss Cheese, HFACS, and Fu (2018) Model-based on two accidents existing in the literature. The accidents reviewed are a mine explosion accident and an electrical plant accident. In this way, the validity of the models can be evaluated and weaknesses and strengths revealed. This study discussed the advantages and possible limitations of these models, and according to this discussion, all these models include human and organizational factors and have been found scientific and systematic. According to the results, Fu (2018) and HFACS are more modern, since they were developed based on Swiss Cheese. The product of this research will be a recommendation for safety investigators and accident inspectors which way to turn when choosing the most applicable accident analysis method

DOI 10.36096/ijbes.v2i4.2291 Crossref citations1 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
Not available · Not run
Not available · Not run
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