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: 156 / 156 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 08:20 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.
156 / 156 with data · 0 missing or unmatched. Percentages use all 156 selected publications.
156 / 156 with data · 0 missing or unmatched. Percentages use all 156 selected publications.
156 / 156 with data · 0 missing or unmatched. Percentages use all 156 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 9 | 9 | 9/9 | 9/9 |
| 2023 | All selected publications | 21 | 21 | 21/21 | 21/21 |
| 2024 | All selected publications | 38 | 38 | 38/38 | 38/38 |
| 2025 | All selected publications | 44 | 44 | 44/44 | 44/44 |
| 2026 | All selected publications | 44 | 44 | 44/44 | 44/44 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 20 | 9 | 9/9 | 9/9 |
| 2023 | All selected publications | 49 | 21 | 21/21 | 21/21 |
| 2024 | All selected publications | 48 | 38 | 38/38 | 38/38 |
| 2025 | All selected publications | 37 | 44 | 44/44 | 44/44 |
| 2026 | All selected publications | 4 | 44 | 44/44 | 44/44 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 25 | 9 | 9/9 | 9/9 |
| 2023 | All selected publications | 73 | 21 | 21/21 | 21/21 |
| 2024 | All selected publications | 63 | 38 | 38/38 | 38/38 |
| 2025 | All selected publications | 40 | 44 | 44/44 | 44/44 |
| 2026 | All selected publications | 4 | 44 | 44/44 | 44/44 |
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 156 / 156 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): 2026-10-21T07:22:43.105612+00:00 — 2026-10-22T08:20:41.873547+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 | 156 | 156/156 |
| 2018 | All selected publications | 0 | 156 | 156/156 |
| 2019 | All selected publications | 0 | 156 | 156/156 |
| 2020 | All selected publications | 0 | 156 | 156/156 |
| 2021 | All selected publications | 0 | 156 | 156/156 |
| 2022 | All selected publications | 0 | 156 | 156/156 |
| 2023 | All selected publications | 9 | 156 | 156/156 |
| 2024 | All selected publications | 37 | 156 | 156/156 |
| 2025 | All selected publications | 91 | 156 | 156/156 |
| 2026 | All selected publications | 68 | 156 | 156/156 |
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 |
|---|---|
| 2022 | 9 |
| 2023 | 21 |
| 2024 | 38 |
| 2025 | 44 |
| 2026 | 44 |
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 | 54 | 41 | 47 | 54/54 | 0.76 | 0.0 | 31.5 | 54/54 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 102 | 117 | 158 | 102/102 | 1.15 | 0.0 | 45.1 | 102/102 · 100.0% |
* Percentage among publications with a known citation count.
The attitude that employees have towards their job is well believed to have an influence on their performance. This study investigated the influence of job satisfaction on employees’ performance. Herzberg’s two-factor hygiene and motivation theory was used to explain employees' motivation for best performance. A cross-sectional survey design in the form of a structured questionnaire was used to randomly sample one hundred (100) employees of the University of Zululand, South Africa. Descriptive and correlation analysis were used to analyze the collected data. The findings indicate that job satisfaction does not influence employees’ performance. The study concludes that UNIZULU employees enjoy their roles despite the unsatisfactory benefits attached. In spite of the unsatisfactory level of benefits, they perform their duties effortlessly. This research contributes to research-based knowledge that will assist universities’ management in identifying the factors that will enhance employees’ performance.
Assessing the readiness and maturity of small and medium enterprises (SMEs) is a foundation for implementing emerging technologies like big data analytics and artificial intelligence to drive their digital transformation endeavours. This study emphasises that readiness and maturity dimensions offer descriptive and prescriptive guidelines for gauging the current and desired levels of preparedness and maturity required to achieve desired digital transformation outcomes. However, prevailing readiness and maturity models overlook the diverse stages of advancement in big data analytics and artificial intelligence. This research explores the dimensions essential for assessing SMEs' readiness to adopt big data analytics and artificial intelligence. This paper identifies the key dimensions for evaluating SMEs' readiness and maturity across different categories of big data analytics and artificial intelligence by conducting a systematic literature review and employing cluster analysis. The study's principal findings underscore that SMEs' readiness for maturity is influenced prominently by strategic leadership and organisational culture, closely trailed by information technology, security, and business model transformation. Additionally, three pivotal dimensions encompass data analytics and governance, cost-benefit and risk management, and environmental factors. Consequently, proposing that evaluating digital readiness and maturity for SMEs should encompass these six dimensions, thoughtfully considering various prerequisites related to analytics and artificial intelligence.
This paper examines the shift from Industry 4.0 to Industry 5.0 in relation to sustainable supply chain management (SCM), highlighting the incorporation of human-centric technologies. As industries progress, there is an increasing necessity to integrate technologies that enhance human-machine collaboration, optimise operational efficiency, and foster sustainability. This work aims to do a systematic review of the evolutionary process, emphasising the transformation of supply chain management by these technologies. A systematic review technique, adhering to the PRISMA framework, was utilised to collect and assess pertinent material published between 2010 to 2024. The review encompassed an exhaustive database search, stringent eligibility screening, and thematic analysis via Atlas-ti software to discern main themes and patterns concerning the incorporation of human-centric technology in supply chain management. The results indicate that the change to Industry 5.0 entails a substantial movement towards human-automation collaboration, with AI and machine learning as essential components. Digital transformation is redefining supply chain management by utilising big data, the Internet of Things, and blockchain technology to enhance transparency, traceability, and decision-making. Bionic supply chains, integrating human intelligence with machine efficiency, are developing as a vital foundation for operational resilience and sustainability. The study suggests that the incorporation of human-centric technology in supply chain management enhances efficiency and sustainability while fostering a more resilient supply network adept at reacting to interruptions. This paper offers essential recommendations for academics and practitioners seeking to enhance supply chain operations in the context of Industry 5.0.
Widowhood in Africa presents unique challenges for women due to cultural and social factors. This paper discusses the challenges of widowhood in African contexts with a view that various social, cultural, legal, financial, and economic issues are at the centre of the challenges widows face in Africa. A thematic literature review was used to examine the multifaceted challenges faced by widows in African societies. Findings show that widows in Africa face multiple challenges, including limited healthcare access, property rights, social support, and harmful traditional practices, impacting their well-being across various dimensions. Cultural attitudes, legal barriers, resource constraints, limited awareness, and the complex interplay of these factors hinder effective interventions. The literature review also found that changing cultural norms, improving access to education and economic opportunities, and strengthening social protection systems are crucial steps towards creating a more inclusive and equitable society for widows. The paper concludes that comprehensive and coordinated strategies are necessary to address these multifaceted challenges, including legal reforms, economic empowerment, awareness campaigns, and the provision of essential resources. Further, collaborative implementation of these strategies can promote gender equality, reduce poverty, and enhance the lives of widows in African countries. Further, there is a need for the urgency of comprehensive interventions and support systems to alleviate the hardships faced by widows in African societies.
The influence of macroeconomic variables on aspects of business and the country's economy has been a subject of robust discussion. This study was conducted to identify the effect of macroeconomic variables, namely inflation rate, economic growth, exchange rate and share price, on listed companies in South Africa. The goal was to study the long run and short run effects of macroeconomic volatility on company performance because of the world’s recent pandemic experience. To achieve this objective, the study applied the panel Autoregressive Distributed Lag (ARDL) model on annual panel data from 2010 to 2020 to analyse the short run and long run effects of macroeconomic variables on a company’s performance. The study results suggested a positive impact of economic growth, exchange rate and share price on asset returns, whilst a company's equity return is supported by economic growth and share price in the long run. The short run revealed that none of the independent variables has a sufficiently significant effect to influence a company's performance changes in the short run. Based on the findings, it was recommended that policymakers and economic authorities should introduce and implement strategies that favour and enhance the country's economic growth and stable exchange rate in order to improve company performance. Additionally, given that the company's short-run performance may highly depend on internal factors such as corporate governance, internal policies and business strategies, these decisions should be taken with precaution and a high level of professionalism.
The study examines how environmental sustainability reporting influences the performance of listed construction firms in Zimbabwe. The study responds to a notable research gap in developing economies, particularly within the construction sector, where limited qualitative evidence exists on how managers perceive the relationship between environmental corporate sustainability practices and organisational performance. While prior studies have largely focused on quantitative approaches in developed contexts, this paper adopts a qualitative perspective to generate context-specific insights. Guided by the interpretivist philosophy and informed by Signalling Theory and Legitimacy Theory, the study employed a qualitative research design using purposive sampling. Data were gathered through semi-structured interviews, and document analysis of sustainability reports from selected firms listed on the Zimbabwe Stock Exchange. The data were analysed through thematic and content analysis to identify recurring patterns and perceptions. The findings indicate that environmental sustainability reporting is generally perceived to enhance firm performance through improved corporate reputation, stronger stakeholder confidence, regulatory compliance, operational efficiency, waste reduction, and better resource management. Key environmental practices identified include environmental management systems, recycling and reuse initiatives, pollution control measures, land rehabilitation, and water conservation strategies. However, the study also found that firms face constraints such as resource limitations, economic instability, and uneven regulatory enforcement, which may hinder the full benefits of environmental sustainability initiatives. The paper concludes that the environmental dimension of corporate sustainability reporting can contribute positively to organisational performance when supported by effective implementation and strategic commitment. It recommends that listed firms strengthen environmental governance systems, integrate sustainability into core business strategy, invest in cleaner technologies, and improve disclosure quality. Policymakers are encouraged to enhance regulatory support and industry guidance for sustainability reporting. Future research may extend this inquiry to other sectors, compare listed and non-listed firms, and explore longitudinal changes in sustainability reporting practices across emerging markets.
This paper examines how a purpose-driven organisation emerging from a highly volatile developing economy can build a globally competitive business process outsourcing (BPO) platform while contributing to brain-drain reversal. Using ZimWorX, a Zimbabwean-headquartered BPO enterprise, as a longitudinal case study, the study aims to develop a theoretically grounded framework explaining strategic emergence under conditions of volatility, uncertainty, complexity, and ambiguity (VUCA) for an emerging organisation. Situated within the broader transformation of global outsourcing markets and the democratisation of digital talent, the paper positions Zimbabwe not as a peripheral participant but as a credible contender in high-value global services delivery. The research adopts a qualitative single-case study design grounded in conceptual theory-building. Drawing on secondary data, organisational records, industry reports, and contextual economic analysis, the study employs abductive reasoning to synthesise four theoretical lenses: Entrepreneurial Orientation Theory, Market Entry Strategy frameworks, Chaos Theory, and Strategic Decision-Making Theory. Through cross-theoretical integration, the analysis traces how ZimWorX navigated Zimbabwe’s macroeconomic instability, currency volatility, high unemployment, and institutional constraints to construct a resilient and differentiated service platform serving clients primarily in the United States and the United Kingdom. The findings reveal that ZimWorX’s success is not attributable to cost arbitrage alone, but to a distinctive combination of entrepreneurial vision, purpose-driven culture, agile niche-focused market entry, and a disruptive “insourcing” philosophy that reframes outsourcing as premium human capital partnership. The firm’s strategic posture reflects adaptive decision-making under disequilibrium conditions, where uncertainty becomes a catalyst for innovation rather than paralysis. Importantly, the organisation embeds social purpose, specifically the reversal of skilled migration and the creation of dignified employment, into its competitive strategy, thereby aligning commercial performance with developmental impact. The study culminates in the development of the ZimWorX Strategic Emergence Framework (ZSEF), a conceptual model that illustrates how emerging-economy firms can integrate entrepreneurial orientation, strategic agility, purposeful positioning, and adaptive market entry to achieve sustained global competitiveness in VUCA environments. The framework advances emerging organisation theory by demonstrating how firms operating in structurally disadvantaged contexts can convert institutional adversity into strategic differentiation. The paper concludes that purposeful strategic emergence offers a viable pathway for developing economies seeking participation in knowledge-intensive global value chains. Rather than replicating traditional offshore outsourcing models, African BPO platforms can leverage mission-driven identity, digital infrastructure, and agile governance structures to compete on quality and relational capital. The study recommends that policymakers support digital talent ecosystems, regulatory clarity, and export-oriented service platforms, while organisational leaders institutionalise adaptive strategic processes and purpose-centred cultures. Future research may test the ZSEF across multiple African BPO firms, examine performance implications quantitatively, or explore comparative applications in other emerging-market knowledge industries.
This paper examines the emergence and strategic evolution of InnBucks MicroBank Limited, a Zimbabwean Microfinance organisation that evolved from a restaurant-change management digital wallet into a licensed deposit-taking microfinance bank serving around 3 million users within 4 years. Operating in what is arguably one of the most extreme VUCA (volatile, uncertain, complex, ambiguous) environments globally, characterised by currency failures, chronic hyperinflation, regulatory unpredictability, and severe infrastructure deficits, InnBucks offers a compelling case for exploring how organisations emerge, adapt, and scale amid genuine chaos. The analysis incorporates five theoretical frameworks: Chaos Theory, Entrepreneurial Orientation Theory, Disruptive Innovation and Frugal Innovation, the Viable System Model, and Strategic Decision-Making Theory. These are utilised to explain InnBucks' institutional pivots, its evolution to a registered deposit taking microfinance, its utilisation of Simbisa Brands' restaurant network as financial infrastructure, and its recent shift to cloud-native banking through the Mambu/AWS partnership. The paper proposes the ARISE (Agility, Resilience, Innovation, Systemic, Entrepreneurial) conceptual framework, which combines five theoretical perspectives into a practical model to steer strategic emergence in resource-limited, institutionally fragile environments. It concludes that InnBucks' trajectory challenges traditional assumptions about the prerequisites for financial innovation and provides transferable insights for emerging organisations operating within Sub-Saharan Africa's growing fintech ecosystem.
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.
This study examined behavioural risks associated with internal restructuring in the South African banking industry. The study was motivated by the increasing frequency of restructuring as banks respond to digital transformation, branch rationalisation, technological disruption and growing competition from fintech institutions. A qualitative exploratory research approach was adopted, using semi-structured interviews conducted with 13 employees from five major South African banks who had experienced internal restructuring. The interview data were analysed using thematic analysis. Five recurring behavioural risk themes were identified: workload pressures and performance strain; pressure to prove organisational value and internal competition; declining morale and workplace culture; job insecurity and talent loss; and organisational clarity and communication breakdowns. Participants described how increased workloads, uncertainty and anxiety could affect concentration and perceived work performance, indicating that behavioural risks associated with restructuring may also have operational consequences. A particularly important finding was the pressure employees experienced to continually demonstrate their organisational value during restructuring. This pressure sometimes encouraged increased effort and visibility, but could also contribute to stress, unhealthy internal competition and strained workplace relationships. The findings underscore the importance of transparent communication, clearly defined roles, visible leadership, employee involvement and psychological support during restructuring. The study contributes context-specific evidence on behavioural risks associated with internal restructuring in the South African banking industry and draws attention to the need to consider their implications for employee wellbeing, organisational culture and operational effectiveness.
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 |