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 00:14 UTC — 21 Oct 2026 07:23 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.
8 / 9 with data · 1 missing or unmatched. Percentages use all 9 selected publications.
8 / 9 with data · 1 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 |
|---|---|---|---|---|---|
| 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 | 2 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 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 | 11 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 1 | 3 | 3/3 | 3/3 |
| 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 | 13 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 1 | 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): 2026-10-21T00:14:26.925999+00:00 — 2026-10-21T07:23:09.009878+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 | 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 | 1 | 9 | 9/9 |
| 2022 | All selected publications | 3 | 9 | 9/9 |
| 2023 | All selected publications | 1 | 9 | 9/9 |
| 2024 | All selected publications | 1 | 9 | 9/9 |
| 2025 | All selected publications | 6 | 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 |
|---|---|
| 2012 | 1 |
| 2020 | 2 |
| 2024 | 1 |
| 2025 | 2 |
| 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 | 4 | 11 | 13 | 4/4 | 2.75 | 2.0 | 50.0 | 4/4 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 5 | 2 | 3 | 5/5 | 0.4 | 0 | 40.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
The aim of the paper to investigates the reason for business failure using Nokia as a case study. The paper applies the explanatory conclusive research design since there are cause and effect relations that seek to provide a better understanding of the reasons for the market failure. The mobile manufacturing sector is the most interesting and innovative of all in the “Information & Communications Technology” sector (ICT). Nokia was once known as the market’s dominant company, leader, and pacesetter until it underwent a tremendous market failure. The aim of this research is to shed light on Nokia’s failure in the market due to its complacency & fear of change, lack of innovation moving too slowly in terms of being too late in making decisions & inventing of the iPhone. Paper elaborately discusses and analyses the failure reasons supported by a literature review in addition to the characteristics of this industry and its market structure. Finally provide advice for business makers
Covid-19 has deeper effects on our current understanding of business strategy and its implementation. Strategic management practices became more mandatory. In fact, it is a continuous process exploiting the opportunities for the sake of competitive advantages. From the aviation industry to retail, the new normal will continue to affect the value chain process of traditional companies. As a case in this study, Walmart is a well-known company with its cost leadership strategy. Cost is controlled by its most efficient value chain system, which includes all the activities from the buying of raw material to sending a product to the market. This efficient working approach and cost leadership strategy of the organization make it competitive across the globe. The company has a hand on to deal with the challenges from the internal and external environment due to changing technology and people demand. This literature-based study tries to cover the business strategy of Walmart, especially the low-cost leadership strategy and management activities in the value chain system.
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.
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.
This conceptual theory-building study examines how African FinTech organisations navigate volatility, uncertainty, complexity and ambiguity (VUCA), using Mukuru as a paradigmatic single case. It develops the Mukuru Ambidextrous Strategic Emergence Model (MASEM) by integrating Entrepreneurial Orientation, Strategic Agility, Organisational Ambidexterity, Chaos Theory and Strategic Decision-Making Theory. Using secondary evidence, longitudinal organisational analysis and abductive cross-theoretical synthesis, the study explains how Mukuru combines exploitation of established remittance and agent-network capabilities with exploration of digital innovation. The analysis identifies multidexterity, the orchestration of multiple, potentially contradictory business models across heterogeneous regulatory settings, as a key capability linking strategic agility to sustained emergence. MASEM conceptualises VUCA pressures as external conditions, entrepreneurial and adaptive capabilities as the strategic core, responsible AI and green digital finance as enabling capabilities, and resilience, inclusion and antifragility as intended organisational outcomes. The model is conceptual rather than empirically validated; accordingly, future research should test its constructs and causal relationships across multiple African FinTech organisations. The study contributes an Africa-centred framework and practical guidance for managers seeking to align innovation, governance, sustainability and regulatory adaptability under persistent environmental turbulence.
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.
Small to Medium Enterprises (SMEs) are essential to global economic development. However, they frequently encounter strategic and innovative challenges stemming from limited resources, unpredictable environments, and informal planning processes. This integrative review examines the interconnected roles of design thinking, strategy formulation, and innovation within the context of SMEs. The study investigates how design thinking—a human-centered, iterative problem-solving methodology—can enhance the strategic agility and innovation capacity of SMEs by drawing on multidisciplinary literature. Grounded in the Dynamic Capabilities Theory, the review emphasizes how design thinking enables SMEs to identify opportunities, implement innovations, and adapt their operations through the development of flexible strategies. Key themes explored include the democratization of strategic planning, the facilitation of cost-effective innovation, and the establishment of feedback loops that align business objectives with changing market demands. The review also identifies significant gaps in empirical research and underscores the necessity for context-sensitive approaches tailored to SMEs in developing economies. The findings present practical implications for SME managers and policymakers, advocating for the incorporation of design-led thinking within strategic and innovation processes to foster resilient, customer-centric enterprises.
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 |