CiteNScope — Scholarly Index & Analytics
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Understand the reach.

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

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 21 Oct 2026, 07:23 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS43/3 with known counts
OPENALEX CITATIONS53/3 with known counts
OPENALEX MEAN1.67Per article with a known count
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institution: Da Vinci Institute 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

Durban University of Technology3Da Vinci Institute3DaVinci Institute23/3 records with data

Countries

South Africa3United States23/3 records with data

Primary topics

Supply Chain and Inventory Management1Accounting and Organizational Management1Corporate Management and Leadership13/3 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.

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: 3/3 articles. Latest history observation: 2026-10-21T07:23:02.033484+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
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS4
CROSSREF · CITED PUBLICATIONS33.3%
CROSSREF · MEAN CITATIONS1.33

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 CITATIONS5
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY1.673 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0

Observation range: 21 Oct 2026 07:22 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 citations21–516–20021+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

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): 2026-10-21T07:22:56.425770+00:00 — 2026-10-21T07:23:02.033484+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

31.50 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: 0 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 2 · 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 publications033/3
2024All selected publications033/3
2025All selected publications233/3
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.

Mean1.33
Median0
No citations21–516–20021+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
3453/31.33033.33/3 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

The role of reskilling programmes on the digital transformation at a large financial services organisation

Tinaye Mahohoma · Theodore Silvanus Aaron

International Journal of Research in Business and Social Science · 2024

Read abstract

The primary goal of this study was to examine the role of reskilling programmes on digital transformation at a Large Financial Services Organisation. The business climate and the world of work are going through an unprecedented large-scale transition - such as the transition from the agricultural economy to the industrial revolution. The era of digitisation, automation and acceleration is upon us. The society is in an economy where new critical skills have emerged and these new emerging skills have become necessary for individuals, businesses, and the economy to succeed. However, very little research has been done on the role of reskilling programmes on the digital transformation at a Large Financial Services Organisation. The study employed quantitative research and a structured closed questionnaire was used to collect field data from a selected sample of 88 respondents drawn from a target population in the study area. The field data were analysed using the Statistical Package for Social Sciences (SPSS), version 29. Statistical tools, including frequency tables, pie charts, and graphs, were used to analyse data. The study findings indicate that jobs have been significantly affected by digital transformation and new emerging job functions in large financial services organisations. A digital transformation programme had a direct relationship with the implementation of reskilling programmes. The study recommended that designing technology-focused training programmes appropriately and selecting or creating technology-focused training programmes with essential elements are necessary for successful outcomes.

DOI 10.20525/ijrbs.v13i5.35094 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Evaluating the influence of the beyond budgeting approach on the financial performance of the non-ferrous metal industry in South Africa

Tinaye Mahohoma · Carlo Boschetti

International Journal of Research in Business and Social Science · 2025

Read abstract

The research analyzes in depth how Beyond Budgeting influences financial results across the South African non-ferrous metal industry. The research solves the challenge of outdated budget systems alongside marketplace insecurities and operational obstacles in the examined sector. The 60-month period from 2020 through secondary financial statement analysis of non-ferrous metal firms constitutes the research approach. Financial performance analysis used a sample set of statements to conduct t-tests on paired data points for examining budgeting practice associations. Beyond Budgeting brought better revenue results to organizations but proved minimally effective in increasing profitability when associated with growing cost diversity levels. Beyond Budgeting produced enhanced revenue results but did not create substantial changes in operating profit numbers. Traditional budgeting methods proved unfit for handling the changing non-ferrous metal market environment because they produced erroneous financial prediction results. The study findings indicate South African non-ferrous metal firms should implement Beyond Budgeting for their revenue flexibility but must maintain cost control systems for profitability sustainability. Organizations should combine traditional budgeting components with Beyond Budgeting principles to attain financial security as well as market responsiveness according to research findings. Financial managers require training in adaptive budgeting and organizations should install real-time tracking systems which effectively regulate cost variances.

DOI 10.20525/ijrbs.v14i5.41720 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Application of factor analysis on the determinants of warehouse inventory performance at Eskom distribution in Gauteng cluster

Tinaye Mahohoma · Nonkululeko Nene

International Journal of Research in Business and Social Science · 2025

Read abstract

This study investigates the key factors influencing warehouse inventory performance at Eskom Distribution in the Gauteng Cluster using factor analysis. The aim is to identify critical elements that impact inventory management effectiveness and enhance operational performance. Eskom faces challenges in inventory control, including forecasting inaccuracies, procurement risks, and technology integration limitations, despite advancements in Economic Order Quantity (EOQ) and Reorder Point (ROP) models. This research applies a quantitative approach with a positivist paradigm, using simple random sampling to select 144 respondents from a target population of 230 employees involved in inventory management. Data was collected through structured questionnaires and analyzed using Principal Component Analysis (PCA) to uncover the factors affecting warehouse performance. The study identifies three major components—operational efficiency, inventory accuracy, and record-keeping—that account for the majority of variance in performance outcomes. These findings are aligned with previous studies emphasizing the role of accurate inventory data, efficient operations, and technology in enhancing warehouse functioning. The implications suggest that Eskom and similar organizations should invest in advanced inventory management systems, improve staff training, and adopt real-time tracking solutions. Further research could explore how external disruptions and emerging technologies, such as AI and blockchain, influence inventory performance across various sectors. This study contributes valuable insights to the field of inventory management within the public sector, offering practical recommendations for improving warehouse efficiency and reducing operational delays.  

DOI 10.20525/ijrbs.v14i5.41740 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Evaluating the influence of the beyond budgeting approach on the financial performance of the non-ferrous metal industry in South Africa

Tinaye Mahohoma · Carlo Boschetti

International Journal of Research in Business and Social Science · 2025

Read abstract

The research analyzes in depth how Beyond Budgeting influences financial results across the South African non-ferrous metal industry. The research solves the challenge of outdated budget systems alongside marketplace insecurities and operational obstacles in the examined sector. The 60-month period from 2020 through secondary financial statement analysis of non-ferrous metal firms constitutes the research approach. Financial performance analysis used a sample set of statements to conduct t-tests on paired data points for examining budgeting practice associations. Beyond Budgeting brought better revenue results to organizations but proved minimally effective in increasing profitability when associated with growing cost diversity levels. Beyond Budgeting produced enhanced revenue results but did not create substantial changes in operating profit numbers. Traditional budgeting methods proved unfit for handling the changing non-ferrous metal market environment because they produced erroneous financial prediction results. The study findings indicate South African non-ferrous metal firms should implement Beyond Budgeting for their revenue flexibility but must maintain cost control systems for profitability sustainability. Organizations should combine traditional budgeting components with Beyond Budgeting principles to attain financial security as well as market responsiveness according to research findings. Financial managers require training in adaptive budgeting and organizations should install real-time tracking systems which effectively regulate cost variances.

DOI 10.20525/ijrbs.v14i5.41720 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Application of factor analysis on the determinants of warehouse inventory performance at Eskom distribution in Gauteng cluster

Tinaye Mahohoma · Nonkululeko Nene

International Journal of Research in Business and Social Science · 2025

Read abstract

This study investigates the key factors influencing warehouse inventory performance at Eskom Distribution in the Gauteng Cluster using factor analysis. The aim is to identify critical elements that impact inventory management effectiveness and enhance operational performance. Eskom faces challenges in inventory control, including forecasting inaccuracies, procurement risks, and technology integration limitations, despite advancements in Economic Order Quantity (EOQ) and Reorder Point (ROP) models. This research applies a quantitative approach with a positivist paradigm, using simple random sampling to select 144 respondents from a target population of 230 employees involved in inventory management. Data was collected through structured questionnaires and analyzed using Principal Component Analysis (PCA) to uncover the factors affecting warehouse performance. The study identifies three major components—operational efficiency, inventory accuracy, and record-keeping—that account for the majority of variance in performance outcomes. These findings are aligned with previous studies emphasizing the role of accurate inventory data, efficient operations, and technology in enhancing warehouse functioning. The implications suggest that Eskom and similar organizations should invest in advanced inventory management systems, improve staff training, and adopt real-time tracking solutions. Further research could explore how external disruptions and emerging technologies, such as AI and blockchain, influence inventory performance across various sectors. This study contributes valuable insights to the field of inventory management within the public sector, offering practical recommendations for improving warehouse efficiency and reducing operational delays.  

DOI 10.20525/ijrbs.v14i5.41740 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The role of reskilling programmes on the digital transformation at a large financial services organisation

Tinaye Mahohoma · Theodore Silvanus Aaron

International Journal of Research in Business and Social Science · 2024

Read abstract

The primary goal of this study was to examine the role of reskilling programmes on digital transformation at a Large Financial Services Organisation. The business climate and the world of work are going through an unprecedented large-scale transition - such as the transition from the agricultural economy to the industrial revolution. The era of digitisation, automation and acceleration is upon us. The society is in an economy where new critical skills have emerged and these new emerging skills have become necessary for individuals, businesses, and the economy to succeed. However, very little research has been done on the role of reskilling programmes on the digital transformation at a Large Financial Services Organisation. The study employed quantitative research and a structured closed questionnaire was used to collect field data from a selected sample of 88 respondents drawn from a target population in the study area. The field data were analysed using the Statistical Package for Social Sciences (SPSS), version 29. Statistical tools, including frequency tables, pie charts, and graphs, were used to analyse data. The study findings indicate that jobs have been significantly affected by digital transformation and new emerging job functions in large financial services organisations. A digital transformation programme had a direct relationship with the implementation of reskilling programmes. The study recommended that designing technology-focused training programmes appropriately and selecting or creating technology-focused training programmes with essential elements are necessary for successful outcomes.

DOI 10.20525/ijrbs.v13i5.35094 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
Full import history & methodology →