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OpenAlex coverage 100.0% · 5/5 recordsLast OpenAlex observation 23 Oct 2026, 01:25 UTC
PUBLICATIONS5In the selected collection
CROSSREF CITATIONS65/5 with known counts
OPENALEX CITATIONS95/5 with known counts
OPENALEX MEAN1.8Per article with a known count
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country: South Africa Remove ×topic: Digital Transformation in Industry Remove ×
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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

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.

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Institutions

Durban University of Technology3University of South Africa1University of Johannesburg15/5 records with data

Countries

South Africa55/5 records with data

Primary topics

Digital Transformation in Industry55/5 records with data
Two perspectives on citations

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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.

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Annual history: 5/5 articles. Latest history observation: 2026-10-23T01:25:46.660467+00:00. Source totals are never added together.
Research side by side

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Display range
International Journal of Business Ecosystem & StrategyInternational 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

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
5 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS5
CROSSREF CITATIONS6
CROSSREF · CITED PUBLICATIONS40.0%
CROSSREF · MEAN CITATIONS1.2

Crossref citation coverage: 5 / 5 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 CITATIONS9
DOI MATCH COVERAGE100.0%5 / 5 publications
MEAN · KNOWN COUNTS ONLY1.85 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0

Observation range: 21 Oct 2026 07:22 UTC — 23 Oct 2026 01:25 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations31–516–20121+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

5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.

Countries

5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.

Primary topics

5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 5 / 5 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): 2026-10-21T07:22:51.909415+00:00 — 2026-10-23T01:25:46.660467+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

42.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52024 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 5/52025 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 5/52026 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 5/5 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications055/5
2018All selected publications055/5
2019All selected publications055/5
2020All selected publications055/5
2021All selected publications055/5
2022All selected publications055/5
2023All selected publications055/5
2024All selected publications355/5
2025All selected publications455/5
2026All selected publications255/5

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.

Mean1.2
Median0
No citations31–526–20021+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
2002/20.00.00.02/2 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
3693/32.0366.73/3 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 5 →

Most cited · Crossref

JOURNAL ARTICLE

Uptake of Internet of Things by SMEs in digital era in emerging economies: A systematic literature review

Gibson Muridzi

International Journal of Research in Business and Social Science · 2024

Read abstract

This paper aims to establish the uptake of Internet of Things (IoT) by small and medium enterprises (SMEs) in the digital era in emerging economies. This study aims to 1) determine adoption of IoT by SMEs during digital era in emerging economies, 2) establish challenges faced by SMEs in implementing IoT in emerging economies, and 3) develop a framework for digital transformation for SMEs in digital era in emerging economies. Systematic literature review approach was used. Articles from Scopus database ranging from 2018 to 2023 was used. 57 articles were shortlisted out of 153 articles. PRISMA framework was therefore used to perform systematic review analysis. Results demonstrate that in emerging economies, SMEs do not or are slowly adopting IoT concepts, making them less competitive. The results also determine that although IoT has great promise in SMEs, the key constraint is a lack of strategic implementation frameworks for its deployment and widespread adoption. This study was therefore carried out to develop a framework that supports digital transformation for SMEs in the digital era for emerging economies. Results have significant managerial and practical implications as they offer some insights to SME managers on how they can improve on the uptake and adoption of internet of things in digital era.

DOI 10.20525/ijrbs.v13i1.29373 Crossref citations6 OpenAlex citations
JOURNAL ARTICLE

Readiness of SMMEs for the adoption of the fourth industrial revolution in Mamelodi Township

Ronny Shibiti · Teddy Timothy Masabo · Watson Ladzani

International Journal of Research in Business and Social Science · 2023

Read abstract

This study aimed to assess the readiness of small, medium, and micro enterprises (SMMEs) in Mamelodi township to adopt the Fourth Industrial Revolution (4IR). Within the South African environment, small, medium, and micro-enterprises (SMMEs) are frequently associated with a substantial rate of failure. Previous studies have investigated many factors that contribute to the low survival rate of small, medium, and micro enterprises (SMMEs). However, most of the studies focused on managerial issues, such as lack of experience, ineffective management methods, insufficient financial management, and obsolete marketing techniques. Most established companies have adopted various technologies associated with the Fourth Industrial Revolution (4IR) and are thriving as a result of the benefits associated with digitalization and automation. Therefore, it is crucial to evaluate the readiness of SMMEs in adopting the Fourth Industrial Revolution (4IR) and achieving similar benefits. Qualitative data was collected through interviews with owners and managers of small, medium, and micro enterprises (SMMEs) in Mamelodi township, Tshwane Municipality. The study found that SMMEs in Mamelodi are willing to adopt the Fourth Industrial Revolution (4IR), while encountering various difficulties. The results provide significant insights for owners and managers of Small, Medium, and Micro Enterprises (SMMEs) in townships about the implementation of the Fourth Industrial Revolution (4IR). Furthermore, government organizations tasked with supporting the creation and sustainability of small, medium, and micro enterprises (SMMEs) are aware of the scope of their operations, specifically in a township like Mamelodi. The study provided a vital contribution to the growing body of research on Small, Medium, and Micro Enterprises (SMMEs) in townships and their incorporation of the Fourth Industrial Revolution (4IR). The essay highlighted major barriers that hinder the adoption and use of existing technology, while also providing tangible evidence of the influence of contemporary technology on the development and success of small, medium, and micro enterprises (SMMEs).

DOI 10.20525/ijrbs.v12i8.29863 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Influence of digital technology on business operations among manufacturing organisations in the iLembe municipal district in South Africa

Everlane Reddy · Robert Zondo

International Journal of Research in Business and Social Science · 2025

Read abstract

The scarcity of water and energy in South Africa impacts multiple domestic and economic sectors, such as agriculture, industry, energy production, and ecosystems. This leads to diminished output, environmental degradation, and loss of biodiversity. The challenges are closely associated with the ongoing overexploitation of natural resources, attributable to the transformative effects of industrialisation and urbanisation. Current trends in energy and resource consumption, agricultural systems, and urban expansion are largely unsustainable and necessitate strategic interventions to mitigate environmental damage and promote long-term resilience. In the absence of oversight, these trends could exacerbate detrimental climate change patterns and limit economic growth. This study investigates the ongoing challenges related to the manufacturing sector's impact on water and energy resource depletion, while also assessing the potential cost savings from adopting cleaner production technologies. This study provides a significant contribution by presenting empirical evidence from the iLembe District, utilising a quantitative research design. A survey was performed across multiple factories in the iLembe Municipal District of South Africa. Of the 262 businesses surveyed, 184 out of 191 responses were considered reliable for data analysis. The study objectives were evaluated through descriptive and correlation analyses to assess the impact of digital technology on water, energy, and operational cost savings in manufacturing organisations within the district. The findings suggest that manufacturing organisations in the iLembe Municipal District demonstrated a lack of commitment to adopting digital technology as a waste management strategy to decrease electricity and water consumption. Respondents concurred that their organisations have achieved cost reductions by implementing cleaner production processes. The research demonstrated that digital technology has a beneficial effect on water and energy conservation, cost reduction, and the improvement of organisational performance. Management must understand the beneficial effects of digital technology to guarantee sustainable organisational performance..

DOI 10.20525/ijrbs.v14i8.45300 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Automation breakthrough: the initiative for productivity improvement in a selected automotive assembly organisation in South Africa

Robert Walter Dumisani Zondo

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

Automated flow line manufacturing systems are becoming more relevant in the automotive sector.  Improving productivity in the manufacturing system is the core objective of all companies, measured by overall equipment effectiveness (OEE).  OEE is a measure of how well a manufacturing operation is utilised compared to its full potential during the periods when it is scheduled to run. Organisations have thus made technological changes in their processes that have led to opportunities for greater flexibilities.  This sentiment underpins the concept of automation.  Hence, this study examines the impact of automation for productivity improvement in the selected automotive assembly organisation in South Africa.  Automation is the creation and application of technology to monitor and control the production and delivery of products and services.  The study was quantitative in design and examined production and the related experiences of the automotive assembly organisation that has adopted automation system in its automobile roof process in weld plant for productivity improvement.  The Ordinary Least Squares (OLS) model, using the Statistical Package for Social Sciences (SPSS) was used to analyse data.  The company operates in the eThekwini Municipality in KwaZulu-Natal province of South Africa.  The study was achieved by collecting pre- and post-quarterly data for labour productivity, process efficiency and downtime.  The results establish that labour productivity, process efficiency and downtime have a relationship and are statistically significant to company productivity after automation was implemented.  It has the potential to reduce errors, increase productivity and augment human capacity.  Hence, the original value of this study is its approach in uncovering strengths and weaknesses of automation for productivity improvement in South Africa. 

DOI 10.36096/ijbes.v7i3.7800 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Digitalisation: a transformational approach for productivity improvement in the food industry in South Africa

Robert Walter Dumisani Zondo

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

Technological advancements are becoming increasingly significant due to the poor production levels of enterprises in South Africa.  Consequently, businesses use technology modifications in their operations that create chances for enhanced flexibility and productivity enhancement.  This emotion supports a transformative concept of digitisation.  Digitalisation involves the separation of information and technologies designed to transform operational dynamics for enhanced corporate performance.  It serves as both an enabler and a catalyst for enhancing productivity.  This study investigates the impact of digitisation on productivity enhancement within a specific distribution sector of a food manufacturing company in South Africa. The study employed a quantitative approach to investigate production and the associated experiences inside the distribution division of a food manufacturing enterprise that implemented digitalisation to enhance productivity.  The Ordinary Least Squares (OLS) model was employed to analyse data using the Statistical Package for Social Sciences (SPSS).  The corporation functions within the eThekwini Municipality in KwaZulu-Natal, South Africa.  The study was conducted by gathering pre- and post-quarterly data on product picking accuracy, hourly product loading, product replenishment rate, and product release rate.  The results demonstrate a statistically significant association between the product release pace and the company’s production in the post-digitalization period.  Nonetheless, it fails to demonstrate the correlation between product picking accuracy, product loading per hour, or product replenishment rate and productivity.  A targeted organisational strategy on digitisation is expected to enhance the organization's performance. Digitising records enables the tracking of each phase of the production process, so maintaining transparency and instilling confidence in consumers.  Therefore, the primary significance of this study lies in its examination of the strengths and shortcomings of digitalisation for enhancing productivity in South Africa. 

DOI 10.36096/ijbes.v7i3.7810 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Influence of digital technology on business operations among manufacturing organisations in the iLembe municipal district in South Africa

Everlane Reddy · Robert Zondo

International Journal of Research in Business and Social Science · 2025

Read abstract

The scarcity of water and energy in South Africa impacts multiple domestic and economic sectors, such as agriculture, industry, energy production, and ecosystems. This leads to diminished output, environmental degradation, and loss of biodiversity. The challenges are closely associated with the ongoing overexploitation of natural resources, attributable to the transformative effects of industrialisation and urbanisation. Current trends in energy and resource consumption, agricultural systems, and urban expansion are largely unsustainable and necessitate strategic interventions to mitigate environmental damage and promote long-term resilience. In the absence of oversight, these trends could exacerbate detrimental climate change patterns and limit economic growth. This study investigates the ongoing challenges related to the manufacturing sector's impact on water and energy resource depletion, while also assessing the potential cost savings from adopting cleaner production technologies. This study provides a significant contribution by presenting empirical evidence from the iLembe District, utilising a quantitative research design. A survey was performed across multiple factories in the iLembe Municipal District of South Africa. Of the 262 businesses surveyed, 184 out of 191 responses were considered reliable for data analysis. The study objectives were evaluated through descriptive and correlation analyses to assess the impact of digital technology on water, energy, and operational cost savings in manufacturing organisations within the district. The findings suggest that manufacturing organisations in the iLembe Municipal District demonstrated a lack of commitment to adopting digital technology as a waste management strategy to decrease electricity and water consumption. Respondents concurred that their organisations have achieved cost reductions by implementing cleaner production processes. The research demonstrated that digital technology has a beneficial effect on water and energy conservation, cost reduction, and the improvement of organisational performance. Management must understand the beneficial effects of digital technology to guarantee sustainable organisational performance..

DOI 10.20525/ijrbs.v14i8.45300 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Automation breakthrough: the initiative for productivity improvement in a selected automotive assembly organisation in South Africa

Robert Walter Dumisani Zondo

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

Automated flow line manufacturing systems are becoming more relevant in the automotive sector.  Improving productivity in the manufacturing system is the core objective of all companies, measured by overall equipment effectiveness (OEE).  OEE is a measure of how well a manufacturing operation is utilised compared to its full potential during the periods when it is scheduled to run. Organisations have thus made technological changes in their processes that have led to opportunities for greater flexibilities.  This sentiment underpins the concept of automation.  Hence, this study examines the impact of automation for productivity improvement in the selected automotive assembly organisation in South Africa.  Automation is the creation and application of technology to monitor and control the production and delivery of products and services.  The study was quantitative in design and examined production and the related experiences of the automotive assembly organisation that has adopted automation system in its automobile roof process in weld plant for productivity improvement.  The Ordinary Least Squares (OLS) model, using the Statistical Package for Social Sciences (SPSS) was used to analyse data.  The company operates in the eThekwini Municipality in KwaZulu-Natal province of South Africa.  The study was achieved by collecting pre- and post-quarterly data for labour productivity, process efficiency and downtime.  The results establish that labour productivity, process efficiency and downtime have a relationship and are statistically significant to company productivity after automation was implemented.  It has the potential to reduce errors, increase productivity and augment human capacity.  Hence, the original value of this study is its approach in uncovering strengths and weaknesses of automation for productivity improvement in South Africa. 

DOI 10.36096/ijbes.v7i3.7800 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Digitalisation: a transformational approach for productivity improvement in the food industry in South Africa

Robert Walter Dumisani Zondo

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

Technological advancements are becoming increasingly significant due to the poor production levels of enterprises in South Africa.  Consequently, businesses use technology modifications in their operations that create chances for enhanced flexibility and productivity enhancement.  This emotion supports a transformative concept of digitisation.  Digitalisation involves the separation of information and technologies designed to transform operational dynamics for enhanced corporate performance.  It serves as both an enabler and a catalyst for enhancing productivity.  This study investigates the impact of digitisation on productivity enhancement within a specific distribution sector of a food manufacturing company in South Africa. The study employed a quantitative approach to investigate production and the associated experiences inside the distribution division of a food manufacturing enterprise that implemented digitalisation to enhance productivity.  The Ordinary Least Squares (OLS) model was employed to analyse data using the Statistical Package for Social Sciences (SPSS).  The corporation functions within the eThekwini Municipality in KwaZulu-Natal, South Africa.  The study was conducted by gathering pre- and post-quarterly data on product picking accuracy, hourly product loading, product replenishment rate, and product release rate.  The results demonstrate a statistically significant association between the product release pace and the company’s production in the post-digitalization period.  Nonetheless, it fails to demonstrate the correlation between product picking accuracy, product loading per hour, or product replenishment rate and productivity.  A targeted organisational strategy on digitisation is expected to enhance the organization's performance. Digitising records enables the tracking of each phase of the production process, so maintaining transparency and instilling confidence in consumers.  Therefore, the primary significance of this study lies in its examination of the strengths and shortcomings of digitalisation for enhancing productivity in South Africa. 

DOI 10.36096/ijbes.v7i3.7810 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Uptake of Internet of Things by SMEs in digital era in emerging economies: A systematic literature review

Gibson Muridzi

International Journal of Research in Business and Social Science · 2024

Read abstract

This paper aims to establish the uptake of Internet of Things (IoT) by small and medium enterprises (SMEs) in the digital era in emerging economies. This study aims to 1) determine adoption of IoT by SMEs during digital era in emerging economies, 2) establish challenges faced by SMEs in implementing IoT in emerging economies, and 3) develop a framework for digital transformation for SMEs in digital era in emerging economies. Systematic literature review approach was used. Articles from Scopus database ranging from 2018 to 2023 was used. 57 articles were shortlisted out of 153 articles. PRISMA framework was therefore used to perform systematic review analysis. Results demonstrate that in emerging economies, SMEs do not or are slowly adopting IoT concepts, making them less competitive. The results also determine that although IoT has great promise in SMEs, the key constraint is a lack of strategic implementation frameworks for its deployment and widespread adoption. This study was therefore carried out to develop a framework that supports digital transformation for SMEs in the digital era for emerging economies. Results have significant managerial and practical implications as they offer some insights to SME managers on how they can improve on the uptake and adoption of internet of things in digital era.

DOI 10.20525/ijrbs.v13i1.29373 Crossref citations6 OpenAlex citations
JOURNAL ARTICLE

Readiness of SMMEs for the adoption of the fourth industrial revolution in Mamelodi Township

Ronny Shibiti · Teddy Timothy Masabo · Watson Ladzani

International Journal of Research in Business and Social Science · 2023

Read abstract

This study aimed to assess the readiness of small, medium, and micro enterprises (SMMEs) in Mamelodi township to adopt the Fourth Industrial Revolution (4IR). Within the South African environment, small, medium, and micro-enterprises (SMMEs) are frequently associated with a substantial rate of failure. Previous studies have investigated many factors that contribute to the low survival rate of small, medium, and micro enterprises (SMMEs). However, most of the studies focused on managerial issues, such as lack of experience, ineffective management methods, insufficient financial management, and obsolete marketing techniques. Most established companies have adopted various technologies associated with the Fourth Industrial Revolution (4IR) and are thriving as a result of the benefits associated with digitalization and automation. Therefore, it is crucial to evaluate the readiness of SMMEs in adopting the Fourth Industrial Revolution (4IR) and achieving similar benefits. Qualitative data was collected through interviews with owners and managers of small, medium, and micro enterprises (SMMEs) in Mamelodi township, Tshwane Municipality. The study found that SMMEs in Mamelodi are willing to adopt the Fourth Industrial Revolution (4IR), while encountering various difficulties. The results provide significant insights for owners and managers of Small, Medium, and Micro Enterprises (SMMEs) in townships about the implementation of the Fourth Industrial Revolution (4IR). Furthermore, government organizations tasked with supporting the creation and sustainability of small, medium, and micro enterprises (SMMEs) are aware of the scope of their operations, specifically in a township like Mamelodi. The study provided a vital contribution to the growing body of research on Small, Medium, and Micro Enterprises (SMMEs) in townships and their incorporation of the Fourth Industrial Revolution (4IR). The essay highlighted major barriers that hinder the adoption and use of existing technology, while also providing tangible evidence of the influence of contemporary technology on the development and success of small, medium, and micro enterprises (SMMEs).

DOI 10.20525/ijrbs.v12i8.29863 Crossref citations3 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 →