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: 5 / 5 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 07:23 UTC — 23 Oct 2026 07:27 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 |
|---|---|---|---|---|---|
| 2026 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 5 | 5/5 | 5/5 |
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): 2026-10-21T07:23:08.204810+00:00 — 2026-10-23T07:27:06.608786+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 0 | 5 | 5/5 |
| 2023 | All selected publications | 0 | 5 | 5/5 |
| 2024 | All selected publications | 0 | 5 | 5/5 |
| 2025 | All selected publications | 0 | 5 | 5/5 |
| 2026 | All selected publications | 0 | 5 | 5/5 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2026 | 5 |
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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
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.
This article investigates the impact of Supply Chain Relationship Management (SCRM) on operational efficiency, with a specific focus on the mediating role of information sharing. SCRM has been widely recognized for promoting collaboration and improving operational outcomes in supply chains. However, the effectiveness of SCRM practices is significantly enhanced when accompanied by robust information-sharing mechanisms. The study utilizes Structural Equation Modeling (SEM) to analyze data collected from 108 supply chain professionals in the Sunyani Municipality, Ghana. The results show that information sharing plays a critical role in mediating the relationship between SCRM and operational efficiency, highlighting its importance as a mechanism for facilitating better coordination, reducing operational costs, and improving lead times. These findings offer valuable insights into how inter-organizational collaboration and effective information exchange contribute to operational improvements in supply chains, particularly within the pharmaceutical sector in developing economies. The study contributes both theoretical and practical perspectives on supply chain management.
This paper examined the effect of TQM on environmental performance (EP) and the mediating role of innovation (INN) in this relationship. We employed a quantitative research method and collected cross-sectional data from 320 SMEs in the food and beverages manufacturing industry OF Ghana. We further utilised PLS-SEM to analyse the data collected. The main results revealed that TQM has a favourable and substantial impact on EP (β = 0.812, p-value = 0.000) and on INN (β = 0.771, p-value = 0.000). Additionally, INN has a favourable and substantial impact on EP (β = 0.163, p-value = 0.000), and, finally, INN partially mediates the direct link between TQM and EP (β = 0.126, p-value = 0.000). However, this mediating effect was strongly influenced by continuous improvement, employee involvement and product innovation. Therefore, SMEs in the food and beverages manufacturing sector should consider investing more in continuous improvement and employee involvement initiatives. Also, pay close attention to and adapt to changes in taste and market trends related to their products.
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.
This paper examined the effect of TQM on environmental performance (EP) and the mediating role of innovation (INN) in this relationship. We employed a quantitative research method and collected cross-sectional data from 320 SMEs in the food and beverages manufacturing industry OF Ghana. We further utilised PLS-SEM to analyse the data collected. The main results revealed that TQM has a favourable and substantial impact on EP (β = 0.812, p-value = 0.000) and on INN (β = 0.771, p-value = 0.000). Additionally, INN has a favourable and substantial impact on EP (β = 0.163, p-value = 0.000), and, finally, INN partially mediates the direct link between TQM and EP (β = 0.126, p-value = 0.000). However, this mediating effect was strongly influenced by continuous improvement, employee involvement and product innovation. Therefore, SMEs in the food and beverages manufacturing sector should consider investing more in continuous improvement and employee involvement initiatives. Also, pay close attention to and adapt to changes in taste and market trends related to their products.
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.
This article investigates the impact of Supply Chain Relationship Management (SCRM) on operational efficiency, with a specific focus on the mediating role of information sharing. SCRM has been widely recognized for promoting collaboration and improving operational outcomes in supply chains. However, the effectiveness of SCRM practices is significantly enhanced when accompanied by robust information-sharing mechanisms. The study utilizes Structural Equation Modeling (SEM) to analyze data collected from 108 supply chain professionals in the Sunyani Municipality, Ghana. The results show that information sharing plays a critical role in mediating the relationship between SCRM and operational efficiency, highlighting its importance as a mechanism for facilitating better coordination, reducing operational costs, and improving lead times. These findings offer valuable insights into how inter-organizational collaboration and effective information exchange contribute to operational improvements in supply chains, particularly within the pharmaceutical sector in developing economies. The study contributes both theoretical and practical perspectives on supply chain management.
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.
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 |