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: 6 / 6 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 02:24 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.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 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 |
|---|---|---|---|---|---|
| 2012 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2013 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2014 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2012 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2013 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2012 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2013 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 2 | 2/2 | 2/2 |
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): 2026-10-21T07:22:44.486425+00:00 — 2026-10-22T02:24:50.306216+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 | 1 | 6 | 6/6 |
| 2018 | All selected publications | 0 | 6 | 6/6 |
| 2019 | All selected publications | 0 | 6 | 6/6 |
| 2020 | All selected publications | 0 | 6 | 6/6 |
| 2021 | All selected publications | 0 | 6 | 6/6 |
| 2022 | All selected publications | 0 | 6 | 6/6 |
| 2023 | All selected publications | 0 | 6 | 6/6 |
| 2024 | All selected publications | 0 | 6 | 6/6 |
| 2025 | All selected publications | 0 | 6 | 6/6 |
| 2026 | All selected publications | 3 | 6 | 6/6 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2012 | 1 |
| 2022 | 1 |
| 2024 | 1 |
| 2025 | 1 |
| 2026 | 2 |
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 Research in Business and Social Science SSBFNET | 6 | 3 | 4 | 6/6 | 0.5 | 0.5 | 50.0 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
Business Model Innovation (BMI) has been widely recognised by management scholars as a significant approach to analyse complex organisational issues and address challenges in volatile business contexts. Small and Medium Enterprises (SMEs) operating in highly turbulent business environments struggle to be viable. Hence, the need to adopt appropriate business models to ensure resilient and viability. This study sought to examine the influence of BMIs on the ability of SMEs in developing nations to withstand and recover from challenges posed by unstable business environments. This study uses a quantitative approach, with a cross-sectional survey to collect empirical evidence from 327 SMEs selected through quota sampling. Using Structural Equation Modeling (SEM) method, results of the study reveal that BMI has a positive impact on the resilience of SMEs. The findings demonstrated that implementing innovative modifications in the business model, namely value creation, value capture, and value proposition positively influence the resilience of SMEs. The study concludes that implementing innovative business models contributes to the development of resilience among SMEs in emerging economies. This paper is relevant to SMEs operating in developing economies as well as those in volatile business environments.
This research examines digital transformation and corporate entrepreneurship as strategies to face disruption in the global era. The study is motivated by technological advances such as AI, Big Data, and IoT that drive a shift in business paradigms. The research objectives include analyzing corporate entrepreneurship strategies to spur innovation, conducting case studies of companies successfully implementing corporate entrepreneurship, identifying barriers and challenges, and evaluating implications for companies in the digital era. The research employs a qualitative approach using case studies and literature analysis to integrate primary and secondary data through triangulation and thematic analysis. Findings indicate that the application of innovative strategies through corporate entrepreneurship enhances competitive advantage, accelerates digital adaptation, and optimizes both internal and external collaboration. Key barriers—such as conservative organizational culture and limited resources—can be overcome through structural changes and investments in technology and human resources. The conclusions emphasize the importance of synergy between digital innovation and corporate entrepreneurship in creating sustainable company growth. This study contributes strategically to the development of adaptive business models amid digital disruption. The findings are expected to serve as a reference for practitioners and academics in designing innovative strategies that respond effectively to global market dynamics, thereby enhancing operational efficiency and achieving a sustainable competitive edge.
Sustainability has become a significant concern worldwide, and Indonesia is no exception. In Indonesia, the sustainable business practice has slowly arisen to conquer the global challenge. This paper highlights the need for a sustainable business model for the batik industry in Anugerah Batik Cooperative, Ciwaringin Village, Indonesia, by considering two factors, namely the utilization of natural dyeing in the batik process and the Covid-19 pandemic. Using a mix-method and business model canvas approach, the researchers interviewed nine owners of the sustainable batik industries and sent 109 questionnaires to the batik customers. The mix-method allowed the researchers to capture the existing business practice and gain insights from the batik customers' perception of sustainable batik products. A new perspective regarding the business model was developed by highlighting several building blocks, including value propositions, customer segments, customer relationships, essential resources, key activities, and revenue streams.
The motor vehicle assembly industry is crucial for industrial development, job creation, and economic growth. However, Kenya’s motor vehicle sector has seen a decline in local market share, revenue, and competitiveness due to strategic stagnation, weak innovation, and operational inefficiencies. This study therefore examined the effect of competitor elimination strategy on the performance of motor vehicle assemblers in Kenya. The study was anchored on the Resource-Based View (RBV) theory. It adopted a descriptive and explanatory design. The target population comprised all 21 licensed and operational motor vehicle assembly firms in Kenya and the 202 employees directly involved in strategy and operations at three management levels across these firms. A census approach was used, and primary data were collected using a semi-structured questionnaire. Three firms were purposively used for the instrument pretest, after which the main study was conducted among the remaining 18 firms. Construct validity was assessed through factor analysis, and reliability was assessed using Cronbach’s Alpha (≥ 0.70). Descriptive statistics provided foundational insights, while inferential analysis included Pearson’s Product-Moment Correlation and simple linear regression; thematic analysis was used for the qualitative data. The study found that competitor elimination strategy had a positive and statistically significant effect on the organisational performance of motor vehicle assemblers in Kenya (R² = 0.340, β = 0.451, p = 0.000). Policymakers in Kenya should promote innovation, product differentiation, and strategic positioning through R&D incentives, first-mover support, and cross-industry collaboration to enable effective competitor elimination. Motor vehicle assemblers should implement product bundling, differentiated offerings, strategic alliances, and innovation initiatives to create unique market space, reduce direct competition, attract new customers, increase market share, and enhance overall performance and sustainability. This study provides insights to guide strategic innovation and competitiveness in Kenya’s motor vehicle assembly industry, contributing to the realisation of the Sustainable Development Goals, Africa’s Agenda 2063, and Kenya Vision 2030.
SME liquor retailers operate in complex, strictly regulated, and competitive environments yet unlicensed liquor retailers are active in meeting demands of consumers, while large retail chain organizations with financial resources continue to enter the market posing a challenge for the SME liquor retailers to sustain themselves. This study uses competitive theory to investigate the effect of innovation management practices in enhancing competitiveness of SME liquor retailers in South Africa. A qualitative exploratory design was used with thematic analysis to analyze 21 empirical data collected through semi-structure interviews. Findings highlight that by practicing innovation management, specifically non-technological, incremental, and service innovations, liquor retailers were able to attract, keep, and maintain their customer base. The respondents collaborated with suppliers to deploy a reward system to encourage customer loyalty and repeat purchases. SME liquor retailers are encouraged to deploy different forms of innovation management to enhance their ability to attract, keep, and maintain customers and thereby enhance their competitiveness.
The motor vehicle assembly industry is crucial for industrial development, job creation, and economic growth. However, Kenya’s motor vehicle sector has seen a decline in local market share, revenue, and competitiveness due to strategic stagnation, weak innovation, and operational inefficiencies. This study therefore examined the effect of competitor elimination strategy on the performance of motor vehicle assemblers in Kenya. The study was anchored on the Resource-Based View (RBV) theory. It adopted a descriptive and explanatory design. The target population comprised all 21 licensed and operational motor vehicle assembly firms in Kenya and the 202 employees directly involved in strategy and operations at three management levels across these firms. A census approach was used, and primary data were collected using a semi-structured questionnaire. Three firms were purposively used for the instrument pretest, after which the main study was conducted among the remaining 18 firms. Construct validity was assessed through factor analysis, and reliability was assessed using Cronbach’s Alpha (≥ 0.70). Descriptive statistics provided foundational insights, while inferential analysis included Pearson’s Product-Moment Correlation and simple linear regression; thematic analysis was used for the qualitative data. The study found that competitor elimination strategy had a positive and statistically significant effect on the organisational performance of motor vehicle assemblers in Kenya (R² = 0.340, β = 0.451, p = 0.000). Policymakers in Kenya should promote innovation, product differentiation, and strategic positioning through R&D incentives, first-mover support, and cross-industry collaboration to enable effective competitor elimination. Motor vehicle assemblers should implement product bundling, differentiated offerings, strategic alliances, and innovation initiatives to create unique market space, reduce direct competition, attract new customers, increase market share, and enhance overall performance and sustainability. This study provides insights to guide strategic innovation and competitiveness in Kenya’s motor vehicle assembly industry, contributing to the realisation of the Sustainable Development Goals, Africa’s Agenda 2063, and Kenya Vision 2030.
Business Model Innovation (BMI) has been widely recognised by management scholars as a significant approach to analyse complex organisational issues and address challenges in volatile business contexts. Small and Medium Enterprises (SMEs) operating in highly turbulent business environments struggle to be viable. Hence, the need to adopt appropriate business models to ensure resilient and viability. This study sought to examine the influence of BMIs on the ability of SMEs in developing nations to withstand and recover from challenges posed by unstable business environments. This study uses a quantitative approach, with a cross-sectional survey to collect empirical evidence from 327 SMEs selected through quota sampling. Using Structural Equation Modeling (SEM) method, results of the study reveal that BMI has a positive impact on the resilience of SMEs. The findings demonstrated that implementing innovative modifications in the business model, namely value creation, value capture, and value proposition positively influence the resilience of SMEs. The study concludes that implementing innovative business models contributes to the development of resilience among SMEs in emerging economies. This paper is relevant to SMEs operating in developing economies as well as those in volatile business environments.
This research examines digital transformation and corporate entrepreneurship as strategies to face disruption in the global era. The study is motivated by technological advances such as AI, Big Data, and IoT that drive a shift in business paradigms. The research objectives include analyzing corporate entrepreneurship strategies to spur innovation, conducting case studies of companies successfully implementing corporate entrepreneurship, identifying barriers and challenges, and evaluating implications for companies in the digital era. The research employs a qualitative approach using case studies and literature analysis to integrate primary and secondary data through triangulation and thematic analysis. Findings indicate that the application of innovative strategies through corporate entrepreneurship enhances competitive advantage, accelerates digital adaptation, and optimizes both internal and external collaboration. Key barriers—such as conservative organizational culture and limited resources—can be overcome through structural changes and investments in technology and human resources. The conclusions emphasize the importance of synergy between digital innovation and corporate entrepreneurship in creating sustainable company growth. This study contributes strategically to the development of adaptive business models amid digital disruption. The findings are expected to serve as a reference for practitioners and academics in designing innovative strategies that respond effectively to global market dynamics, thereby enhancing operational efficiency and achieving a sustainable competitive edge.
SME liquor retailers operate in complex, strictly regulated, and competitive environments yet unlicensed liquor retailers are active in meeting demands of consumers, while large retail chain organizations with financial resources continue to enter the market posing a challenge for the SME liquor retailers to sustain themselves. This study uses competitive theory to investigate the effect of innovation management practices in enhancing competitiveness of SME liquor retailers in South Africa. A qualitative exploratory design was used with thematic analysis to analyze 21 empirical data collected through semi-structure interviews. Findings highlight that by practicing innovation management, specifically non-technological, incremental, and service innovations, liquor retailers were able to attract, keep, and maintain their customer base. The respondents collaborated with suppliers to deploy a reward system to encourage customer loyalty and repeat purchases. SME liquor retailers are encouraged to deploy different forms of innovation management to enhance their ability to attract, keep, and maintain customers and thereby enhance their competitiveness.
Sustainability has become a significant concern worldwide, and Indonesia is no exception. In Indonesia, the sustainable business practice has slowly arisen to conquer the global challenge. This paper highlights the need for a sustainable business model for the batik industry in Anugerah Batik Cooperative, Ciwaringin Village, Indonesia, by considering two factors, namely the utilization of natural dyeing in the batik process and the Covid-19 pandemic. Using a mix-method and business model canvas approach, the researchers interviewed nine owners of the sustainable batik industries and sent 109 questionnaires to the batik customers. The mix-method allowed the researchers to capture the existing business practice and gain insights from the batik customers' perception of sustainable batik products. A new perspective regarding the business model was developed by highlighting several building blocks, including value propositions, customer segments, customer relationships, essential resources, key activities, and revenue streams.
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 |