Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
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.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
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.
OpenAlex · incoming citation links grouped by citing-work year
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.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
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.
Crossref citation coverage: 9 / 9 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 18:16 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
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.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 selected publications.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 selected publications.
9 / 9 with data · 0 missing or unmatched. Percentages use all 9 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2026 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 4 | 3 | 3/3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 5 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 | 3/3 |
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 9 / 9 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): 2026-10-21T07:22:59.250345+00:00 — 2026-10-22T18:16:33.969611+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 9 | 9/9 |
| 2018 | All selected publications | 0 | 9 | 9/9 |
| 2019 | All selected publications | 0 | 9 | 9/9 |
| 2020 | All selected publications | 0 | 9 | 9/9 |
| 2021 | All selected publications | 0 | 9 | 9/9 |
| 2022 | All selected publications | 0 | 9 | 9/9 |
| 2023 | All selected publications | 0 | 9 | 9/9 |
| 2024 | All selected publications | 1 | 9 | 9/9 |
| 2025 | All selected publications | 4 | 9 | 9/9 |
| 2026 | All selected publications | 3 | 9 | 9/9 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2024 | 3 |
| 2025 | 3 |
| 2026 | 3 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 3 | 3 | 4 | 3/3 | 1.0 | 0 | 33.3 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 6 | 4 | 4 | 6/6 | 0.67 | 0.5 | 50.0 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
ABSTRACT This study aims to investigate how supply chain management (SCM) practices employed by Local Municipality affect service delivery efficiency and effectiveness. Objectives include identifying specific supply chain strategies, evaluating their impact on operational performance, and providing recommendations for improvement. A qualitative research design was used, involving interviews with key stakeholders like supply chain managers. Findings reveal that effective practices, such as collaborative planning and demand forecasting, significantly enhance service delivery and resource management. However, challenges such as limited technological integration and insufficient staff training impede full effectiveness. The study concludes that targeted training and modern technology adoption are essential for improving operational efficiency and community service.
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.
Companies in the South African apparel industry are being driven to improve their operational efficiency by implementing Lean Manufacturing Principles (LMPs) as a result of the severe competition that they face both locally and internationally. To evaluate the effectiveness of LMP implementation in small and medium-sized enterprises (SMEs) operating within the apparel sector in KwaZulu-Natal (KZN), this research employed a quantitative methodology. The degree of LMP adoption and its influence on operational performance, quality management, and competitiveness are brought to light through a comparison analysis between a small-sized company (Company A) and a medium-sized company (Company B). The was gathered using a structured survey distributed to employees across different functional levels in both companies. The findings suggest that there are significant differences in the implementation of LMP between the two companies, with Company B reaching a higher degree of adoption and generating more substantial benefits in both efficiency and quality. When it came to smaller businesses, difficulties such as insufficient managerial assistance, limited resources, and knowledge gaps were more noticeable. This study enhances the understanding of LMP application in SMEs and offers recommendations for fostering lean adoption, minimizing waste, and encouraging sustainable practices and continuous improvement within South Africa's apparel industry.
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).
This study seeks to examine the impact of quality control techniques on operational efficiency in manufacturing organisations, specifically identifying the most successful practices that foster long-term success. The research employs a twofold approach: it first analyses current literature on the incorporation of quality principles in diverse manufacturing companies, identifying shortcomings. Secondly, employing quantitative methodologies through surveys directed at South African manufacturing experts. This study utilised a purposive sample method to choose participants from the available population. Purposive sampling is a nonprobability sampling technique that involves gathering data from designated target groups or individuals according to a defined criterion. The results indicate that employee training, ongoing improvement, and internal audits are the paramount quality control techniques, substantially promoting a culture of quality and advancing operational development. Employee engagement, proactive strategies, and remedial actions are seen as essential components for maintaining enduring operational performance. The incorporation of supplier quality management and control charts improves decision-making and guarantees product uniformity. The research highlights that organisations can enhance competitiveness, operational efficiency, and customer happiness through the implementation of good quality control practices. These methods result in enhanced production, decreased operational expenses, and increased market sustainability. Organisations must prioritise staff training, ongoing enhancement, and supplier quality control to maintain a competitive edge. This study enhances the existing information by emphasising the essential quality control techniques that affect operational efficiency in manufacturing entities. It offers significant insights into the execution of quality control techniques and their influence on business performance, presenting pragmatic recommendations for managers aiming to enhance operational efficiency.
This study seeks to examine the impact of quality control techniques on operational efficiency in manufacturing organisations, specifically identifying the most successful practices that foster long-term success. The research employs a twofold approach: it first analyses current literature on the incorporation of quality principles in diverse manufacturing companies, identifying shortcomings. Secondly, employing quantitative methodologies through surveys directed at South African manufacturing experts. This study utilised a purposive sample method to choose participants from the available population. Purposive sampling is a nonprobability sampling technique that involves gathering data from designated target groups or individuals according to a defined criterion. The results indicate that employee training, ongoing improvement, and internal audits are the paramount quality control techniques, substantially promoting a culture of quality and advancing operational development. Employee engagement, proactive strategies, and remedial actions are seen as essential components for maintaining enduring operational performance. The incorporation of supplier quality management and control charts improves decision-making and guarantees product uniformity. The research highlights that organisations can enhance competitiveness, operational efficiency, and customer happiness through the implementation of good quality control practices. These methods result in enhanced production, decreased operational expenses, and increased market sustainability. Organisations must prioritise staff training, ongoing enhancement, and supplier quality control to maintain a competitive edge. This study enhances the existing information by emphasising the essential quality control techniques that affect operational efficiency in manufacturing entities. It offers significant insights into the execution of quality control techniques and their influence on business performance, presenting pragmatic recommendations for managers aiming to enhance operational efficiency.
The sustainability of South African automotive component suppliers faces increasing pressure due to global supply chain disruptions and heightened buyer demands. Within this competitive environment, traditional differentiators such as price and product quality are largely prescribed by buyers, leaving suppliers with limited strategic levers. Relationship quality has therefore emerged as a crucial factor in building trust and securing long-term customer retention. The central research question is: What is the correlation between trust and relationship quality in buyer-supplier exchanges within the automotive supply chain? This article reports on a quantitative study that examined the relationship between supplier–buyer relationship quality and the development of trust. A directional linear relationship between these constructs was tested to determine the extent to which relational factors contribute to sustainable partnerships. The findings indicate a strong and significant correlation, suggesting that supplier actions during sourcing interactions can meaningfully influence levels of trust. Trust, in turn, enhances perceived customer value and contributes to customer retention in an industry where competitive advantages are narrow. The study underscores the need for South African automotive component suppliers to prioritise strategies that strengthen relationship quality with their buyers. By fostering trust through relational practices, suppliers may achieve more resilient business outcomes and sustain their market position within a challenging global supply chain environment.
Customers’ demand for printing industry to be more productive and compete globally in relation to delivery, cost, quality and use of technological factors is one of the factors which have a possible impact on productivity. Printing establishments through the South African printing industry have a major role to play in the country’s economy. Printing industry is characterised by overloading, inefficiency and ineffectiveness affecting overall organisational performance. The purpose of this study is to examine the factors influencing productivity improvement practices and develop productivity improvement model to improve printing division. This study follows a qualitative research approach as it is an exploratory research technique used to understand the underlying reasons, perceptions and motivations of individuals in solving a problem. A sample of Government Printing Works’ (GPW) employees directly involved in the printing, finishing and packaging of Higher Education and Training examination question papers located in Pretoria, City of Tshwane municipality participated in this study. A number of critical success and barriers to productivity improvement practices are identified. Barriers factors include poorly designed process; poorly designed layout; poor quality materials; lack of effective maintenance plans; unsatisfactory planning; supplier inefficiencies and customer inefficiencies were the major causes of low productivity in the GPW. This comprehensive and holistic framework can assist government printing employees’ and lean practioners’ in their lean manufacturing implementation journey systematically and improve the organisation’s performance.
The performance of productivity has garnered significant interest among economists, with a prevalent discussion affirming the crucial role of productivity enhancement in fostering and sustaining growth. This necessitates businesses to recognise manufacturing excellence in their operations. Manufacturing excellence is a non-prescriptive paradigm for organisational management aimed at enhancing competitiveness. The processes established for consistent delivery must yield products with minimal variance and no flaws. This study investigates the impact of manufacturing excellence strategy on workforce productivity in South African automobile parts manufacturing firms. The study employed a quantitative methodology to investigate production and associated experiences within an automobile parts manufacturing organisation that implemented a manufacturing excellence strategy for enhancing productivity. The Ordinary Least Squares (OLS) model, employing the Statistical Package for Social Sciences (SPSS), was utilised for data analysis. The corporation functions within the eThekwini Municipality in the KwaZulu-Natal region of South Africa. The study was conducted by gathering pre- and post-quarterly data on absenteeism, spoilage, and labour productivity. The findings demonstrate that manufacturing excellence affects labour productivity. Nonetheless, neither absenteeism nor spoilage correlates with worker productivity following the introduction of manufacturing excellence. This study reveals the strengths and shortcomings of manufacturing excellence and its impact on workforce productivity in automobile parts manufacturing firms in South Africa.
Companies in the South African apparel industry are being driven to improve their operational efficiency by implementing Lean Manufacturing Principles (LMPs) as a result of the severe competition that they face both locally and internationally. To evaluate the effectiveness of LMP implementation in small and medium-sized enterprises (SMEs) operating within the apparel sector in KwaZulu-Natal (KZN), this research employed a quantitative methodology. The degree of LMP adoption and its influence on operational performance, quality management, and competitiveness are brought to light through a comparison analysis between a small-sized company (Company A) and a medium-sized company (Company B). The was gathered using a structured survey distributed to employees across different functional levels in both companies. The findings suggest that there are significant differences in the implementation of LMP between the two companies, with Company B reaching a higher degree of adoption and generating more substantial benefits in both efficiency and quality. When it came to smaller businesses, difficulties such as insufficient managerial assistance, limited resources, and knowledge gaps were more noticeable. This study enhances the understanding of LMP application in SMEs and offers recommendations for fostering lean adoption, minimizing waste, and encouraging sustainable practices and continuous improvement within South Africa's apparel industry.
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
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |