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Journals / IJRBS RESEARCH PROFILE

International Journal of Research in Business and Social Science

ISSN 2147-4478 • Journal website ↗

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OpenAlex coverage 100.0% · 2/2 recordsLast OpenAlex observation 22 Oct 2026, 02:32 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS32/2 with known counts
OPENALEX CITATIONS52/2 with known counts
OPENALEX MEAN2.5Per article with a known count
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Most cited articles

Top 5 in the selected collection · Ranked by OpenAlex lifetime citations. Only articles with at least one known citation are included; source totals are never combined.

  1. 5OpenAlex citations
The journal at a glance

Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

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2026 is year to date. 0 undated publications excluded.

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Citations received

OpenAlex · year of the citing work

OpenAlex

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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.

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Institutions

Lebanese University1Modern University for Business and Science1Makerere University12/2 records with data

Countries

Lebanon2Uganda12/2 records with data

Primary topics

Legal Systems and Institutions1Global and Cross-Cultural Management12/2 records with data
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Lifetime citations by publication year

Crossref and OpenAlex · separate totals for the same publication cohorts

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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

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2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

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Annual history: 2/2 articles. Latest history observation: 2026-10-22T02:32:33.584880+00:00. Source totals are never added together.
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International Journal of Research in Business and Social Science

Publications

Articles by publication year

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Crossref citations

Latest lifetime totals · grouped by publication year

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OpenAlex citations

Latest lifetime totals · grouped by publication year

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OpenAlex · Citations received

By year of the citing work · 2017–2026

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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 research profile All distributions, publications, comparisons & data provenance
2 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS2
CROSSREF CITATIONS3
CROSSREF · CITED PUBLICATIONS50.0%
CROSSREF · MEAN CITATIONS1.5

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 CITATIONS5
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY2.52 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY2.5

Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 02:32 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–516–20021+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.

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): 2026-10-21T07:22:56.428337+00:00 — 2026-10-22T02:32:33.584880+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

21.00 2017 · All selected publications · OpenAlex · Citations received by year: 1 · 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: 2 · 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: 1 · Annual history coverage 2/22022 · All selected publications · OpenAlex · Citations received by year: 1 · 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: 0 · Annual history coverage 2/22026 · All selected publications · OpenAlex · Citations received by year: 0 · 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 publications122/2
2018All selected publications022/2
2019All selected publications222/2
2020All selected publications022/2
2021All selected publications122/2
2022All selected publications122/2
2023All selected publications022/2
2024All selected publications022/2
2025All selected publications022/2
2026All selected publications022/2

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.

Mean1.5
Median1.5
No citations11–516–20021+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 Research in Business and Social Science
SSBFNET
2352/21.51.550.02/2 · 100.0%

* Percentage among publications with a known citation count.

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Most cited · Crossref

JOURNAL ARTICLE

Impact of Disruptive Innovations on Mobile Telecom Industry in Lebanon

Wael Bakhit

International Journal of Research in Business and Social Science · 2016

Read abstract

The telecommunication industry is different from other industries in the basis of innovation rate. This industry continuously provides end users with new technological generations and disruptive technologies. Due to the complexity of the nature of the product served, telecommunication industry is an important case to study in order to explain the real reasons for the challenges facing telecom companies. Researching in this area will explain why some companies survive while others fail. The wide range served technology innovations is most likely to result in rapid mutation of consumers’ spending habits thus directly influencing the mobile phone companies. The aim of this is to test the reliability of innovations and its impact on companies’ profitability. For that purpose, a survey with 200 end users and 20 employees from two telecom providers (“Alfa, and “Touch”) was conducted to investigate various disruptive and conventional means and their impact on the financial performance of telecom industry. The results show that most of the revenue of telecom industry comes from usage of data while the industry is lacking for competition, and quality services while charging high tariffs for customers. Currently customers are migrating to data, therefore performing a pressure on the industry to improve its services. To conclude, network operators need to decide what to they want to sacrifice and how far they want to go to reach targeted results.

DOI 10.20525/ijrbs.v5i3.4373 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Navigating informal business institutions in Africa: Expatriates’ response to the ‘magendo’ phenomenon in Uganda

Matthias Sebuttemba Mulumba · Ahmad Walugemba

International Journal of Research in Business and Social Science · 2024

Read abstract

This paper explores how expatriates deal with host country informal business practices that differ from their home country institutional frameworks. We note that expatriate business people working in emerging markets of Africa often contend with corrupt business practices rooted in local informal institutions and the lack of strong formal institutions regulating business practices. We also observe that while local people take informal institutions such as magendo, as a way of life and adjust to them, expatriates being ‘outsiders’ respond in different ways. The study employed a qualitative phenomenological design that involved in-depth interview of a small sample of expatriates operating in Uganda. For data analysis, NVivo 11 was used to search for and retrieve chunks of labelled data. The key findings indicate that expatriates from countries with strong formal institutions experience the most frustrations and often reject informal business practices. On the other hand, expatriates from countries with weak institutions are more pragmatic and easily adapt to existing practices in the new environments. Multinationals however, often reject informal business practices due to their market power and strict codes of conduct.The study recommends that small-medium category expatriates targeting Africa need to align with influential local people so as to navigate business informalities that characterise informal business environments.

DOI 10.20525/ijrbs.v13i5.35010 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Navigating informal business institutions in Africa: Expatriates’ response to the ‘magendo’ phenomenon in Uganda

Matthias Sebuttemba Mulumba · Ahmad Walugemba

International Journal of Research in Business and Social Science · 2024

Read abstract

This paper explores how expatriates deal with host country informal business practices that differ from their home country institutional frameworks. We note that expatriate business people working in emerging markets of Africa often contend with corrupt business practices rooted in local informal institutions and the lack of strong formal institutions regulating business practices. We also observe that while local people take informal institutions such as magendo, as a way of life and adjust to them, expatriates being ‘outsiders’ respond in different ways. The study employed a qualitative phenomenological design that involved in-depth interview of a small sample of expatriates operating in Uganda. For data analysis, NVivo 11 was used to search for and retrieve chunks of labelled data. The key findings indicate that expatriates from countries with strong formal institutions experience the most frustrations and often reject informal business practices. On the other hand, expatriates from countries with weak institutions are more pragmatic and easily adapt to existing practices in the new environments. Multinationals however, often reject informal business practices due to their market power and strict codes of conduct.The study recommends that small-medium category expatriates targeting Africa need to align with influential local people so as to navigate business informalities that characterise informal business environments.

DOI 10.20525/ijrbs.v13i5.35010 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Impact of Disruptive Innovations on Mobile Telecom Industry in Lebanon

Wael Bakhit

International Journal of Research in Business and Social Science · 2016

Read abstract

The telecommunication industry is different from other industries in the basis of innovation rate. This industry continuously provides end users with new technological generations and disruptive technologies. Due to the complexity of the nature of the product served, telecommunication industry is an important case to study in order to explain the real reasons for the challenges facing telecom companies. Researching in this area will explain why some companies survive while others fail. The wide range served technology innovations is most likely to result in rapid mutation of consumers’ spending habits thus directly influencing the mobile phone companies. The aim of this is to test the reliability of innovations and its impact on companies’ profitability. For that purpose, a survey with 200 end users and 20 employees from two telecom providers (“Alfa, and “Touch”) was conducted to investigate various disruptive and conventional means and their impact on the financial performance of telecom industry. The results show that most of the revenue of telecom industry comes from usage of data while the industry is lacking for competition, and quality services while charging high tariffs for customers. Currently customers are migrating to data, therefore performing a pressure on the industry to improve its services. To conclude, network operators need to decide what to they want to sacrifice and how far they want to go to reach targeted results.

DOI 10.20525/ijrbs.v5i3.4373 Crossref citations5 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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