Recent Submissions

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    Understanding black women opportunity entrepreneurs' networking behavior : navigating intersectionality in South Africa's entrepreneurial ecosystem
    Pettersen, Inger Beate; Scheepers, Caren Brenda; Botha, Melodi; Moos, Menisha; Moos, Menisha (Emerald, 2026)
    PURPOSE : Globally, black women entrepreneurs represent the fastest-growing group of entrepreneurs, driving significant economic and social impact. This research timely responds to calls aiming for varied research contexts and for investigating women entrepreneurs in non-Western contexts. This study examines networking within South Africa's entrepreneurial ecosystems (EEs) to contextualize theory across diverse cultural and socio-economic settings, thereby deepening understanding of the compounded barriers faced by black women entrepreneurs at the intersection of race and gender. DESIGN/METHODOLOGY/APPROACH : A qualitative research design was adopted to explore individual experiences while identifying patterns and connections that can enhance our understanding of black women's networking behavior to navigate the EEs in South Africa. FINDINGS : The study's findings reveal three unique themes which contribute to women's proactive networking behavior, involving cross-gender and cross-race relations. Furthermore, we learn how black women entrepreneurs exploit strategic networking opportunities to grow their tech ventures and navigate intersectionality through resilience of being part of a minority group. RESEARCH LIMITATIONS/IMPLICATIONS : EE actors should deliberately introduce allyship programs to enhance black women's position and belonging in various settings through, e.g. mentorship and training programs. Policymakers in other countries could gain key insights from the South African Broad-Based Black Economic Empowerment (BBBEE) policy, which positively influence women entrepreneurs' position in EEs. ORIGINALITY/VALUE : Our study links the Intersectionality Theory with Social Network Theory. Previous studies considered gender and networking behavior, without referring to the intersection between gender and race and how this intersection might influence networking behavior.
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    Affordable loss heuristic scale development and validation
    Lew, Charlene; Smith, Sean Michael (Emerald, 2026-12)
    PURPOSE : The study aims to develop a distinct and parsimonious scale of affordable loss. The affordable loss heuristic explains a way of reasoning in entrepreneurial investment decision-making in uncertainty. DESIGN/METHODOLOGY/APPROACH : The scale development process spans several phases including conceptualization, qualitative interviews and expert item review in the item development phase. In the exploratory phase, two studies are used to refine the instrument. In the validation phase, the scale is validated through confirmatory factor analysis and assessment of the invariance thereof. FINDINGS : The study produces a two-dimensional reflective scale of affordable loss, including dimensions of a loss heuristic in uncertainty and experimental mindset. The scale is validated and invariant across different geographical contexts. RESEARCH LIMITATIONS/IMPLICATIONS : The scale builds on the theory of affordable loss, presenting clearer insights into the nature and dimensions of this heuristic. It offers an empirical contribution by enabling the measurement of affordable loss as a construct in entrepreneurial decision-making. PRACTICAL IMPLICATIONS : An understanding of affordable loss gives practitioners the means to assess and develop entrepreneurial reasoning. ORIGINALITY/VALUE : The study presents a novel measure of the affordable loss investment heuristic, paving the way for future studies into its antecedents and outcomes.
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    Enhancing survival of Bifidobacterium spp. in yoghurt through oxidative stress adaptation
    Thomashoff, Ursula Louise; Sibanda, Thulani; Buys, E.M. (Elna Maria) (Wiley, 2026-01)
    BACKGROUND : Bifidobacterium spp. are widely recognised probiotic bacteria with well-documented health benefits associated with their incorporation into foods. Despite these benefits, maintaining their viability in oxygen-rich environments like yoghurt poses substantial challenges. AIM : This study examined the impact of oxidative stress adaptation on the viability, fermentation characteristics and physicochemical properties of Bifidobacterium spp. during yoghurt production and shelf-life at 4°C. METHODS : Oxidative (H2O2) stress-adapted and unadapted strains of Bifidobacterium bifidum, B. breve and B. animalis subsp. animalis, 6–7 log cfu/mL, were incorporated during yoghurt fermentation. Two independent yoghurt batches were produced for each treatment combination, with two replicates analysed per batch. Viability (via plate counts and PMAxx-qPCR) and physicochemical properties were monitored over 28 days at 4°C. MAJOR FINDINGS : Stress adaptation enhanced B. bifidum survival during fermentation by 1.0 log cfu/g compared with unadapted strains (P < 0.0001), with B. breve showing similar improvement. Although adaptation initially improved survival, this advantage diminished throughout shelf-life in both species. B. animalis remained stable. The plate count method showed a decline of B. bifidum and B. breve populations, while the PMAxx-qPCR method detected a significantly higher level of viable cells (P < 0.05) in the yoghurt. SCIENTIFIC IMPLICATIONS : Oxidative stress adaptation may enhance Bifidobacterium spp. viability and the functional value of probiotic yoghurt.
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    Numerical analysis of stabilisation for random hyperbolic systems of conservation laws
    Chu, Shaoshuai; Herty, Michael; Kurganov, Alexander (Taylor and Francis, 2026)
    This paper extends the deterministic Lyapunov-based stabilisation framework to random hyperbolic systems of conservation laws, where uncertainties arise in boundary controls and initial data. Building on the finite-volume discretisation method from [M. Banda and M. Herty, Math. Control Relat. Fields, 3 (2013), pp. 121–142], we introduce a stochastic discrete Lyapunov function to prove the exponential decay of numerical solutions for systems with random perturbations. For linear systems, we derive explicit decay rates, which depend on boundary control parameters, grid resolutions, and the statistical properties of the random inputs. Theoretical decay rates are verified through numerical examples, including boundary stabilisation of the linear wave equations and linearised shallow-water flows with random perturbations. We also present the decay rates for a nonlinear example and for the linearised Saint-Venant system with source terms.
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    Librarians to the rescue! An LIS-associated workflow model for the rescue of research data at risk
    Patterson, Louise; Bothma, T.J.D. (Theodorus Jan Daniel); Van Deventer, Martha Johanna (Unisa Press, 2025-10)
    This study presents a data rescue workflow model and explores the potential roles and responsibilities of the library and information services (LIS) sector in rescuing at-risk data. The methodology was multifaceted, consisting of three distinct phases of data collection and analysis. First, content analysis was conducted on 15 purposively selected data rescue publications to identify key activities that are integral to the data rescue process. This phase resulted in the creation of an initial data rescue workflow model. Second, feedback was obtained from six experienced researchers at a South African research institute, chosen from a sample of criterion-based researchers, after they reviewed the initial model. This feedback was used to revise the model. Third, additional feedback on both the initial and revised models was gathered during a mini focus group session with three purposively selected LIS experts at the same research institute. This feedback was used to refine the model and develop a final recommended data rescue workflow model, which is presented in this study. The recommended model outlines the crucial stages, activities, and outputs of data rescue in a chronological sequence. The study’s outcomes provide new insights into data rescue and the involvement of LIS professionals, highlighting how various LIS experts can contribute to data rescue projects.