IntroductionThe sustainable growth of small and medium-sized enterprises (SMEs) in manufacturing in developing economies depends significantly on how firms harness institutional social networks as strategic resources. Despite growing scholarship on social capital and firm performance, the mechanisms by which institutionally based social network resources — comprising regulatory, normative, and cultural-cognitive networks — translate into business growth remain insufficiently theorised. Specifically, the moderating role of social resource orchestration competence (SROC) in converting institutional network resources into firm growth value has not been empirically examined among Kenyan manufacturing SMEs.MethodsA quantitative cross-sectional survey was conducted among 393 purposively selected respondents — comprising business owners, heads of operations, and heads of finance — drawn from Kenya Association of Manufacturers (KAM)-registered manufacturing SMEs across 14 sub-sectors in Nairobi County, Kenya. Structural Equation Modelling (SEM) was conducted in SmartPLS 4.0, preceded by Confirmatory Factor Analysis (CFA) to establish reliability and validity. Convergent and discriminant validity, as well as collinearity, were assessed using established thresholds before path analysis was conducted.ResultsDirect path analysis confirmed significant positive associations of regulatory (β = 0.332, p < 0.05), normative (β = 0.285, p < 0.05), and cultural-cognitive resource networks (β = 0.162, p < 0.05) with SME growth. When SROC was introduced as a moderator, it emerged as the dominant growth factor (β = 0.543, p < 0.05). SROC significantly amplified the association of regulatory resource networks with SME growth (β = 0.162, p < 0.05) and attenuated the contribution of cultural-cognitive networks (β = −0.429, p < 0.05), while having no significant moderating effect on normative resource networks.DiscussionThese findings advance Social Exchange Theory by offering preliminary evidence that the economic value of institutional network exchanges varies with the firm's SROC. The study introduces the Social Exchange Orchestration Grid (SEOG) — a novel theoretical framework that maps the differential economic value of institutional network archetypes against SROC — providing manufacturing SME managers with a strategic tool for prioritising institutional network investments. Implications for SME policy in sub-Saharan Africa are discussed, with an emphasis on building orchestration capabilities as a potentially more critical investment than network acquisition per se.
Artificial intelligence (AI) and mental-health research spans distinct clinical, technical, and care-oriented problem areas. We constructed a publication-centred relational dataset from Dimensions.ai, comprising 7,146 rule-defined, high-specificity AIand-mental-health publications, 3,022 linked grants, and 214 linked policy documents. A four-component nonnegative matrix factorization of publication titles and abstracts provided a stable operational partition: mental-health risk prediction, digital mentalhealth care and ethics, social and affective detection, and neuropsychiatric assessment. Compared with digital mental-health care and ethics, risk prediction and neuropsychiatric assessment had substantially higher adjusted odds of recorded funding support. Policy-document coverage through 2021 was lower for neuropsychiatric assessment and social and affective detection; risk prediction did not differ reliably. Across the thematic corpus, publication funding-support and policy-document coverage relations cooccurred on the same publications more often than expected under a publication-yearstratified permutation null. We also describe author-affiliation, funder, and policy-issuer institutions and countries for each theme. The findings concern recorded database relations and thematic text structure; they do not establish causal effects, institutional intent, policy endorsement, or policy impact.
Social commerce has emerged as a central paradigm within electronic commerce by seamlessly integrating transactional capabilities with social interaction, user-generated content, and platform-driven influence mechanisms. This scoping review systematically maps the body of research on consumer behavior in social commerce. Unlike previous reviews constrained by narrower temporal scopes or specific theoretical lenses, the present study synthesizes bibliometric, geographical, methodological, theoretical, and thematic evidence drawn from a comprehensive corpus of 472 studies published between 2010 and 2026. The findings indicate sustained growth in the literature, particularly since 2019, characterized by a strong predominance of quantitative cross-sectional designs and structural equation modeling (SEM). Core constructs such as trust, perceived value, purchase intention, and social influence continue to dominate the field. Nevertheless, emerging research streams increasingly examine phenomena including herd behavior, fear of missing out (FoMO), social proof, influencer-consumer relationships, live commerce, and short-video environments. The review also highlights a pronounced asymmetry in global knowledge production, with substantial contributions from Asia, North America, and Europe, contrasted by comparatively limited representation from Latin America and Africa. By updating and integrating previously fragmented strands of the literature, this review provides an evidence-based mapping of the field's evolution—from early technology-adoption and generalized trust models toward more psychologically nuanced and platform-sensitive explanations of consumer decision-making. Furthermore, it identifies key priorities for future scholarship, including greater theoretical integration, methodological diversification, longitudinal and comparative designs, and expanded research in underrepresented regions.
Climate-induced migration is widely acknowledged as a multifaceted phenomenon shaped by the interaction between climatic stressors and socioeconomic, environmental, political, and institutional conditions. This systematic literature review examines the relationship between climate-induced migration, livelihood vulnerability, and associated adaptation strategies, while recognizing that migration is rarely driven by climate change alone. Following the PRISMA framework, a rigorous selection process yielded 28 peer-reviewed articles published between 2008 and 2023 from Scopus and Web of Science databases. Integrative and thematic analysis were applied to synthesize the evidence and identify key dimensions of livelihood vulnerability and adaptation associated with climate-induced migration. Six themes were identified: economic, social, environmental, health, cultural, and political factors that mutually influence migration experience, livelihood vulnerability, and adaptive responses. Climate-induced migration could increase income insecurity, asset loss, food insecurity, social isolation, inadequate access to basic services, health risks, culture disruption, and insufficient institutional support. The results indicate that climate-related stresses can undermine livelihoods through financial losses and other socioeconomic pressures. Migration may facilitate adaptation through remittances, livelihood diversification, employment opportunities, social networks, and institutional support; nevertheless, it may also intensify vulnerability. The reviewed literature provides global coverage, with a strong focus on climate-vulnerable regions, specifically South and Southeast Asia, alongside evidence from Africa, Latin America, Pacific Islands, North America, and Australia. The review shows that climate-induced migration should be understood as a multidimensional and interactive process rather than as a direct consequence of climate change alone. Migration can function as an adaptation strategy and a source of strengthened vulnerability. The findings also highlight the need to use region-specific, gender-responsive, and institutionally coordinated perspectives in addressing the vulnerabilities and adaptive capabilities of climate migrants.
IntroductionDigital transformation has intensified the use of platforms, automated systems, artificial intelligence tools, online reporting, and algorithmic performance metrics in general and financial services. This study examines how algorithmic fatigue, human talent adaptation, digital organizational support, digital dynamic capabilities, and responsible algorithmic governance combine to explain high perceived digital competitiveness.MethodsA quantitative, non-experimental, cross-sectional, exploratory-configurational design was used. From an institutional population of 581 Business Administration students, 128 employed participants working in general or financial services met the inclusion criteria. A 60-item, five-point Likert instrument measured six constructs. Analyses in R included descriptive statistics, reliability, Spearman correlations, an auxiliary linear model, and fuzzy-set qualitative comparative analysis (fsQCA).ResultsHuman talent adaptation was the only potentially necessary condition for high perceived digital competitiveness. Three sufficient pathways emerged: digital dynamic capabilities, responsible algorithmic governance, and the combination of human talent adaptation and digital organizational support, which was the most consistent pathway. Algorithmic fatigue acted as a risk condition but could coexist with high perceived digital competitiveness when compensatory resources were present.DiscussionThe findings indicate that perceived digital competitiveness arises through alternative combinations of human, organizational, technological, and governance resources, supporting a configurational rather than a single universal pathway interpretation.
