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OpenAlex coverage 100.0% · 6/6 recordsLast OpenAlex observation 22 Oct 2026, 03:03 UTC
PUBLICATIONS6In the selected collection
CROSSREF CITATIONS56/6 with known counts
OPENALEX CITATIONS106/6 with known counts
OPENALEX MEAN1.67Per article with a known count
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topic: Quality and Supply Management 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

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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

Durban University of Technology2Mercu Buana University2Vaal University of Technology16/6 records with data

Countries

Indonesia3South Africa3Ghana16/6 records with data

Primary topics

Quality and Supply Management66/6 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: 6/6 articles. Latest history observation: 2026-10-22T03:03:13.470561+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
6 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS6
CROSSREF CITATIONS5
CROSSREF · CITED PUBLICATIONS66.7%
CROSSREF · MEAN CITATIONS0.83

Crossref citation coverage: 6 / 6 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 CITATIONS10
DOI MATCH COVERAGE100.0%6 / 6 publications
MEAN · KNOWN COUNTS ONLY1.676 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY1.5

Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 03:03 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–566–20021+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

6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.

Countries

6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.

Primary topics

6 / 6 with data · 0 missing or unmatched. Percentages use all 6 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 6 / 6 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): 2026-10-21T07:22:53.443046+00:00 — 2026-10-22T03:03:13.470561+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

52.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62024 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 6/62025 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 6/62026 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 6/6 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications066/6
2018All selected publications066/6
2019All selected publications066/6
2020All selected publications066/6
2021All selected publications066/6
2022All selected publications066/6
2023All selected publications066/6
2024All selected publications266/6
2025All selected publications566/6
2026All selected publications366/6

Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean0.83
Median1.0
No citations21–546–20021+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
2132/20.50.550.02/2 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
4474/41.01.075.04/4 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 6 →

Most cited · Crossref

JOURNAL ARTICLE

Effect of Lean Six Sigma on order fulfilment process: evidence from manufacturing companies in Gauteng, South Africa

Vuyokazi Maku · Tshepo Phuti Mabotja · Winiswa Mavutha

International Journal of Research in Business and Social Science · 2024

Read abstract

This study examines the collaboration between Lean Six Sigma principles and order fulfilment procedures, which are essential for facilitating international trade. The objective is to ascertain the extent to which sustainable and effective lean processes improve customer satisfaction and accelerate global product delivery. The study employs a dual methodology: initially, doing a comprehensive analysis of the current body of literature on the integration of Lean Six Sigma in order fulfilment inside various manufacturing companies, with the aim of finding any deficiencies or areas that require further investigation. Furthermore, we utilise a quantitative approach by administering surveys to professionals in the South African manufacturing industry. Deductive reasoning examines responses using random sampling to ensure unbiased selection. The findings emphasise that using Lean Six Sigma practices in the South African manufacturing sector can address customer concerns regarding the quality of orders and the timeliness of deliveries. This can provide a competitive advantage in the global market. The study validates that the inclusion of Lean Six Sigma measurements alleviates bottlenecks by focusing on improvements in operations, procedures, and communication. The study demonstrates the effectiveness of Lean Six Sigma methodologies in improving order fulfilment for enterprises engaged in international trade. It promotes these concepts to optimise processes, assuring timely deliveries and increased customer satisfaction. This study addresses several deficiencies in the current research on the incorporation of Lean Six Sigma in the manufacturing order fulfilment process. These gaps encompass the challenges of incorporating emerging technology, integrating collaborative supply chains, and incorporating sustainable practices. The distinctive methodology of integrating a comprehensive analysis of existing literature with empirical evidence enhances the novelty of the research outcomes. Manufacturing companies that aim to achieve global market excellence get practical advantages.

DOI 10.20525/ijrbs.v13i3.29522 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

The role of 4IR technologies and organizational culture in enhancing manufacturing supply chain performance

Tshepo Mabotja

International Journal of Research in Business and Social Science · 2024

Read abstract

This study seeks to create a model for the management of the steel production supply chain in South Africa amid the Fourth Industrial Revolution (4IR), tackling persistent interruptions and delays within the supply chain despite current models. A mixed methodology was utilised in the model's development. The qualitative component entailed a Delphi research corroborated by literature to ascertain pertinent hypotheses, whereas the quantitative component validated the model through structural equation modelling (SEM) utilising SmartPLS software. The research delineated a seven-construct framework comprising cooperation, integration, communication, supply chain structure, Fourth Industrial Revolution technology, organisational culture, and trust. The amalgamation of these designs proved enough for improving the efficacy of the steel production supply chain. The research revealed that the use of Fourth Industrial Revolution technologies and the cultivation of a conducive organisational culture are essential for effective supply chain management in the steel manufacturing industry. The research presents a detailed model that facilitates the planning and organisation of steel industry supply networks in South Africa. This approach underscores the necessity of a cooperative organisational culture, client contentment, and the incorporation of Fourth Industrial Revolution technologies. Steel industry stakeholders are urged to implement adaptable supply chain frameworks (lean, agile, leagile) based on project goals. This study enhances theoretical frameworks by highlighting essential features that have not been previously incorporated into supply chain management models for the steel sector, including the integration of Fourth Industrial Revolution technology and organisational culture. It provides actionable insights for stakeholders in steel manufacture, enhancing supply chain performance via the proposed paradigm. The research methodology improves comprehension of supply chain management within the framework of the Fourth Industrial Revolution (4IR).

DOI 10.20525/ijrbs.v13i10.37941 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

The effect of supply chain management and total quality management on operational performance through competitive advantage

Salachudin Emir · Niken Sulistyowati

International Journal of Research in Business and Social Science · 2024

Read abstract

Supply chain management is the process of integrating critical business procedures throughout the supply chain to generate value for stakeholders and customers. Total Quality Management is a system that emphasises quality and focuses on ensuring customer satisfaction. Customer satisfaction is a very important instrument for operational performance and business continuity. Therefore, this study aims to determine and analyse the effect of supply chain management (SCM) and total quality management (TQM) on operational performance (OP) mediated by competitive advantage (CA). Sample collection was carried out by distributing questionnaires, using purposive sampling technique, which is one of the non-probability sampling categories. The data analysis method uses structural equation model-partial least square (SEM-PLS). The results stated that the strategy of implementing supply chain management and total quality management together can increase competitive advantage. Increased competitive advantage can improve operational performance. The suggested policy implications are that the company can continue to maintain good relations with partners, produce products according to customer desires, competitive prices and timely products.

DOI 10.20525/ijrbs.v13i1.30871 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

The analysis of dynamic supply chain capability and operational performance of food and beverage MSMEs in Sleman, Indonesia

Yuli Liestyana · Tri Wahyuningsih · Atriken Natasha · Yekti Utami

International Journal of Business Ecosystem & Strategy · 2024

Read abstract

Dynamic capabilities in the supply chain play an essential role in improving an organization's operational performance. This research aims to see the influence of supply chain dynamic capabilities, including collaboration, integration, agility, and responsive capabilities, on the operational performance of food and beverage MSMEs in Sleman, Indonesia. The sample of this study is food and beverage MSMEs located in Sleman, Indonesia, which apply supply chain management capabilities such as collaboration, integration, agility, and responsive capabilities. The MSMEs must have been operated for more than three years, starting from 2019, so MSMEs already have a more robust supply chain network. Data from sixty food and beverage MSMEs was collected in 2024 using a set of questionnaires tested for validity using Pearson’s correlation and reliability using Cronbach’s Alpha. Data processing in this research uses SPSS 25 software with an analysis tool, namely multiple regression analysis. This analysis helps prove whether or not there is an influence between two or more independent variables on the dependent variable. The results of this research show that collaboration capabilities, integration capabilities, agility capabilities, and responsive capabilities partially have a significant positive effect on operational performance. Increasing collaboration capabilities between MSMEs and internal and external parties must be maintained to improve value from the MSMEs themselves. According to the hypothesis test results, the integration capability variable significantly influences the operational performance of MSMEs in Sleman, Indonesia. The agility capability variable significantly influences the operational performance of MSMEs in Sleman, Indonesia. The responsiveness significantly influences the operational performance of MSMEs in Sleman, Indonesia.

DOI 10.36096/ijbes.v6i2.5041 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

The effect of lean manufacturing and physical work environment on labor productivity in the apparel industry in Indonesia: case study

Sarnadi · Niken Sulistyowati

International Journal of Research in Business and Social Science · 2024

Read abstract

In general, this research aims to analyze and determine the effect of the application of lean manufacturing which is focused on eliminating waste and the influence of the physical work environment on labor productivity. This research used primary data through the distribution of questionnaires conducted to employees of Company X with a total of 230 respondents from sections in departments directly related to research variables. Data analysis methods using the Structural Equation Model (SEM) measured by the Partial Least Square (PLS) model, and data processing using SmartPLS 4.0 Software. Based on the results of calculations, data analysis shows that the application of principles related to lean manufacturing, which in this research is focused on the process of eliminating waste has a positive effect on the productivity of the workforce. The creation of a physical work environment that meets standards also positively affects the productivity of the workforce.

DOI 10.20525/ijrbs.v13i1.31310 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

The role of 4IR technologies and organizational culture in enhancing manufacturing supply chain performance

Tshepo Mabotja

International Journal of Research in Business and Social Science · 2024

Read abstract

This study seeks to create a model for the management of the steel production supply chain in South Africa amid the Fourth Industrial Revolution (4IR), tackling persistent interruptions and delays within the supply chain despite current models. A mixed methodology was utilised in the model's development. The qualitative component entailed a Delphi research corroborated by literature to ascertain pertinent hypotheses, whereas the quantitative component validated the model through structural equation modelling (SEM) utilising SmartPLS software. The research delineated a seven-construct framework comprising cooperation, integration, communication, supply chain structure, Fourth Industrial Revolution technology, organisational culture, and trust. The amalgamation of these designs proved enough for improving the efficacy of the steel production supply chain. The research revealed that the use of Fourth Industrial Revolution technologies and the cultivation of a conducive organisational culture are essential for effective supply chain management in the steel manufacturing industry. The research presents a detailed model that facilitates the planning and organisation of steel industry supply networks in South Africa. This approach underscores the necessity of a cooperative organisational culture, client contentment, and the incorporation of Fourth Industrial Revolution technologies. Steel industry stakeholders are urged to implement adaptable supply chain frameworks (lean, agile, leagile) based on project goals. This study enhances theoretical frameworks by highlighting essential features that have not been previously incorporated into supply chain management models for the steel sector, including the integration of Fourth Industrial Revolution technology and organisational culture. It provides actionable insights for stakeholders in steel manufacture, enhancing supply chain performance via the proposed paradigm. The research methodology improves comprehension of supply chain management within the framework of the Fourth Industrial Revolution (4IR).

DOI 10.20525/ijrbs.v13i10.37941 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

The analysis of dynamic supply chain capability and operational performance of food and beverage MSMEs in Sleman, Indonesia

Yuli Liestyana · Tri Wahyuningsih · Atriken Natasha · Yekti Utami

International Journal of Business Ecosystem & Strategy · 2024

Read abstract

Dynamic capabilities in the supply chain play an essential role in improving an organization's operational performance. This research aims to see the influence of supply chain dynamic capabilities, including collaboration, integration, agility, and responsive capabilities, on the operational performance of food and beverage MSMEs in Sleman, Indonesia. The sample of this study is food and beverage MSMEs located in Sleman, Indonesia, which apply supply chain management capabilities such as collaboration, integration, agility, and responsive capabilities. The MSMEs must have been operated for more than three years, starting from 2019, so MSMEs already have a more robust supply chain network. Data from sixty food and beverage MSMEs was collected in 2024 using a set of questionnaires tested for validity using Pearson’s correlation and reliability using Cronbach’s Alpha. Data processing in this research uses SPSS 25 software with an analysis tool, namely multiple regression analysis. This analysis helps prove whether or not there is an influence between two or more independent variables on the dependent variable. The results of this research show that collaboration capabilities, integration capabilities, agility capabilities, and responsive capabilities partially have a significant positive effect on operational performance. Increasing collaboration capabilities between MSMEs and internal and external parties must be maintained to improve value from the MSMEs themselves. According to the hypothesis test results, the integration capability variable significantly influences the operational performance of MSMEs in Sleman, Indonesia. The agility capability variable significantly influences the operational performance of MSMEs in Sleman, Indonesia. The responsiveness significantly influences the operational performance of MSMEs in Sleman, Indonesia.

DOI 10.36096/ijbes.v6i2.5041 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Supply chain management (SCM) framework for small and medium manufacturing enterprises (SMEs) in Ghana

Mitchell Dodzi Morvey · Lawrence Mpele Lekhanya · Eric Kofi Boadi

International Journal of Business Ecosystem & Strategy · 2024

Read abstract

Efficient supply chain management is essential for small and medium-sized enterprises (SMEs) in Ghana to guarantee a dependable flow of products and services, sustain competitiveness, and promote growth and job creation. The objective of this study is to analyse the current supply chain models utilised by manufacturing small and medium-sized enterprises (SMEs) in Ghana. Additionally, it intends to propose a prototype model that will aid manufacturing SMEs in achieving sustainability, growth, and future expansion in Ghana and other regions. The Conceptual framework was developed by examining variables identified in the existing literature on supplier management practices in small and medium-sized enterprises (SMEs), as well as inventory management approaches that are relevant to SMEs. A structured questionnaire was employed to collect data from the main source. This study employs a mixed method approach, which includes the participation of 363 respondents. Interviews and surveys were carried out with small and medium-sized enterprise (SME) owners and managers. The data was analysed using the SPSS (v 27.0) computer application, which involved both inferential and descriptive statistical analysis. The findings revealed essential components of the prototype, such as the implementation of supply management (SM), proficient information management (IM), streamlined distribution strategies, and strong marketing and sales strategies, in addition to customer relationship management (CRM) and effective post-sales services. Implementing these supply chain management (SCM) principles effectively can guarantee the sustainability, growth, employment generation, and overall performance of small and medium-sized enterprises (SMEs) in Ghana.

DOI 10.36096/ijbes.v6i2.5280 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Effect of Lean Six Sigma on order fulfilment process: evidence from manufacturing companies in Gauteng, South Africa

Vuyokazi Maku · Tshepo Phuti Mabotja · Winiswa Mavutha

International Journal of Research in Business and Social Science · 2024

Read abstract

This study examines the collaboration between Lean Six Sigma principles and order fulfilment procedures, which are essential for facilitating international trade. The objective is to ascertain the extent to which sustainable and effective lean processes improve customer satisfaction and accelerate global product delivery. The study employs a dual methodology: initially, doing a comprehensive analysis of the current body of literature on the integration of Lean Six Sigma in order fulfilment inside various manufacturing companies, with the aim of finding any deficiencies or areas that require further investigation. Furthermore, we utilise a quantitative approach by administering surveys to professionals in the South African manufacturing industry. Deductive reasoning examines responses using random sampling to ensure unbiased selection. The findings emphasise that using Lean Six Sigma practices in the South African manufacturing sector can address customer concerns regarding the quality of orders and the timeliness of deliveries. This can provide a competitive advantage in the global market. The study validates that the inclusion of Lean Six Sigma measurements alleviates bottlenecks by focusing on improvements in operations, procedures, and communication. The study demonstrates the effectiveness of Lean Six Sigma methodologies in improving order fulfilment for enterprises engaged in international trade. It promotes these concepts to optimise processes, assuring timely deliveries and increased customer satisfaction. This study addresses several deficiencies in the current research on the incorporation of Lean Six Sigma in the manufacturing order fulfilment process. These gaps encompass the challenges of incorporating emerging technology, integrating collaborative supply chains, and incorporating sustainable practices. The distinctive methodology of integrating a comprehensive analysis of existing literature with empirical evidence enhances the novelty of the research outcomes. Manufacturing companies that aim to achieve global market excellence get practical advantages.

DOI 10.20525/ijrbs.v13i3.29522 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

The effect of supply chain management and total quality management on operational performance through competitive advantage

Salachudin Emir · Niken Sulistyowati

International Journal of Research in Business and Social Science · 2024

Read abstract

Supply chain management is the process of integrating critical business procedures throughout the supply chain to generate value for stakeholders and customers. Total Quality Management is a system that emphasises quality and focuses on ensuring customer satisfaction. Customer satisfaction is a very important instrument for operational performance and business continuity. Therefore, this study aims to determine and analyse the effect of supply chain management (SCM) and total quality management (TQM) on operational performance (OP) mediated by competitive advantage (CA). Sample collection was carried out by distributing questionnaires, using purposive sampling technique, which is one of the non-probability sampling categories. The data analysis method uses structural equation model-partial least square (SEM-PLS). The results stated that the strategy of implementing supply chain management and total quality management together can increase competitive advantage. Increased competitive advantage can improve operational performance. The suggested policy implications are that the company can continue to maintain good relations with partners, produce products according to customer desires, competitive prices and timely products.

DOI 10.20525/ijrbs.v13i1.30871 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 →