CiteNScope — Scholarly Index & Analytics
Discover / Analytics RESEARCH INTELLIGENCE
CiteNScope / Analytics

Explore the evidence.
Understand the reach.

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

Compare journals ↗
OpenAlex coverage 100.0% · 6/6 recordsLast OpenAlex observation 22 Oct 2026, 03:03 UTC
PUBLICATIONS6In the selected collection
CROSSREF CITATIONS46/6 with known counts
OPENALEX CITATIONS56/6 with known counts
OPENALEX MEAN0.83Per article with a known count
Explore articles 6 →
Filter collection Publication years, search & more
Reset
topic: Quality and Supply Management Remove ×
Your research collection

Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

View data & coverage

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.

View data & coverage

Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Universitas Pembangunan Nasional Veteran Yogyakarta2University of Cape Coast1Tshwane University of Technology16/6 records with data

Countries

South Africa3Ghana2Indonesia26/6 records with data

Primary topics

Quality and Supply Management66/6 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

Crossref and OpenAlex · separate totals for the same publication cohorts

Hover over a year or focus the chart and use arrow keys to inspect values.

Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.

View data & coverage

Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

View data & coverage
Annual history: 6/6 articles. Latest history observation: 2026-10-22T03:03:13.470561+00:00. Source totals are never added together.
Research side by side

Compare journals

Compare across all journals →

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Business Ecosystem & Strategy

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.

Full analytics report All distributions, publications, comparisons & data provenance
6 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS6
CROSSREF CITATIONS4
CROSSREF · CITED PUBLICATIONS33.3%
CROSSREF · MEAN CITATIONS0.67

Crossref citation coverage: 6 / 6 publications (100.0%). Latest observation: 21 Oct 2026, 00:14 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS5
DOI MATCH COVERAGE100.0%6 / 6 publications
MEAN · KNOWN COUNTS ONLY0.836 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0.5

Observation range: 22 Oct 2026 01:08 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 citations31–536–20021+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): 2026-10-22T01:08:25.816223+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

31.50 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: 1 · Annual history coverage 6/62025 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 6/62026 · All selected publications · OpenAlex · Citations received by year: 1 · 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 publications166/6
2025All selected publications366/6
2026All selected publications166/6

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.

Mean0.67
Median0.0
No citations41–526–20021+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
6456/60.670.033.36/6 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 6 →

Most cited · Crossref

JOURNAL ARTICLE

Assessing the impact of supply chain practices on operational efficiency and service delivery in local municipality (LM)

Kabelo Phahlamohlaka · Sabelo Mpungose

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

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.

DOI 10.36096/ijbes.v7i2.7943 Crossref citations2 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

Mediating Role of Innovation in the Relationship between Total Quality Management and Environmental Performance of Food and Beverage Manufacturing SMEs in Ghana

Bernard Nyarko · Senyo Agbeblewu · Ebo Ebynah

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

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.

DOI 10.36096/ijbes.v8i4.12950 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Productivity improvement model for government printing works: a South African perspective

Enock Philani Mtshali · Nita Inderial Sukdeo · Victor Mofokeng · Kgashane Stephen Nyakala

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

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.

DOI 10.36096/ijbes.v8i1.9670 Crossref citations0 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

Selected results

JOURNAL ARTICLE

Mediating Role of Innovation in the Relationship between Total Quality Management and Environmental Performance of Food and Beverage Manufacturing SMEs in Ghana

Bernard Nyarko · Senyo Agbeblewu · Ebo Ebynah

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

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.

DOI 10.36096/ijbes.v8i4.12950 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Productivity improvement model for government printing works: a South African perspective

Enock Philani Mtshali · Nita Inderial Sukdeo · Victor Mofokeng · Kgashane Stephen Nyakala

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

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.

DOI 10.36096/ijbes.v8i1.9670 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Assessing the impact of supply chain practices on operational efficiency and service delivery in local municipality (LM)

Kabelo Phahlamohlaka · Sabelo Mpungose

International Journal of Business Ecosystem & Strategy · 2025

Read abstract

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.

DOI 10.36096/ijbes.v7i2.7943 Crossref citations2 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

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 00:14 UTC · ijbescomplete · ijbes · 21 Oct 2026 00:14 UTC
ojs-rest21 Oct 2026 00:14 UTC · ijbescomplete · ijbes · 21 Oct 2026 00:02 UTC
oai-pmh20 Oct 2026 19:49 UTC · ijbescomplete · ijbes · 20 Oct 2026 19:48 UTC
openalex-enrichment21 Oct 2026 00:14 UTC · ijbescomplete · ijbes · 21 Oct 2026 00:14 UTC
Full import history & methodology →