Search Results (310)

Inefficiencies and low productivity persist in the construction industry due to limited digital integration and weak data use in decision-making. This study examines how internal data analytics, such as the systematic use of organisational data-like cost reports, safety logs, and project schedules, can enhance decision-making and organisational capability in New Zealand’s small- and medium-sized construction enterprises (SMEs). A comprehensive systematic literature review following PRISMA guidelines analysed 76 peer-reviewed empirical and theoretical studies (2015–2025). A thematic synthesis was conducted using NVivo 12 Plus and VOSviewer to identify patterns grounded in Evidence-Based Management, the Knowledge-Based View, and Bounded Rationality theories. The research highlights that analytics tools, including Building Information Modelling, Decision Support Systems, and Internet of Things platforms, enable real-time visibility, predictive forecasting, and coordination, thereby transforming operational data into strategic intelligence. However, adoption barriers persist, with technical interoperability issues, organisational resistance, low data literacy, and weak governance structures, significantly impacting resource-constrained SMEs. The study proposes a strategic framework that addresses four critical domains: robust data governance, leadership commitment and training, alignment with maturity models, and integration of emerging technologies. These domains demonstrate potential for standardisation and capacity building within SMEs, which also have implications for SMEs in New Zealand. Overall, the research provides a socio-technical framework which positions analytics as a transformative enabler of organisational learning, governance transparency, and sustainable performance and could support the development of an evidence-based construction sector. Full article

Against the rapid expansion of the digital economy in Southeast Asia, improving firms’ digital capability has become increasingly important for sustaining employee innovation in the IT services sector. However, existing research has mainly emphasized organizational or performance outcomes and has paid less attention to the internal mechanisms through which corporate digital capability shapes employees’ sustainable innovation behavior, especially in the heterogeneous institutional and cultural context of ASEAN. Drawing on Conservation of Resources theory and Social Information Processing Theory, this study examines the relationship between corporate digital capability and sustainable employee innovation behavior, with innovation atmosphere and knowledge sharing as mediating mechanisms. Using cross-sectional survey data collected from 257 employees in IT services firms across five ASEAN countries, and employing hierarchical regression analysis with bootstrap mediation testing, this study finds that corporate digital capability positively promotes sustainable employee innovation behavior (β = 0.38, p < 0.01). The results further show that innovation atmosphere and knowledge sharing serve as important mediating pathways through which digital capability is translated into employee-level innovation outcomes (indirect effects: 0.20, 95% CI [0.10, 0.31] for IA; 0.19, 95% CI [0.11, 0.28] for KS). In addition, innovation atmosphere strengthens knowledge sharing, forming a sequential mechanism (indirect effect = 0.26, 95% CI [0.15, 0.37]) that further supports sustainable innovation behavior. This study contributes to the literature by clarifying how digital capability affects sustainable employee innovation at the micro level, by distinguishing the organizational climate and knowledge exchange mechanisms involved in this process, and by providing context-sensitive evidence from ASEAN’s diverse digital transformation environment. The findings also provide practical insights for firms and policymakers seeking to strengthen sustainable innovation capacity through digital capability building, supportive organizational climates, and stronger knowledge-sharing practices. Specifically, policymakers should align DEFA-funded digital skill programs with organizational climate interventions that foster psychological safety and cross-border collaboration, while managers in resource-constrained SMEs can leverage low-cost measures such as monthly idea recognition schemes, public endorsement of reasonable failure, and designated cross-border knowledge brokers to amplify the innovation returns of digital investments. Full article

Small and medium-sized enterprises (SMEs) have limited resources and governance that might restrict their ability to conduct dynamic cyber risk assessment (DCRA) and maintain effective cyber situational awareness (CSA). This study investigates stakeholders’ perceptions of CSA, DCRA, and AI-enabled cybersecurity to develop a conceptual framework targeted for SMEs. The online survey was cross-sectional, and 302 completed responses were gathered. The valid sample size for the items ranged from 288 to 299. Out of 293 respondents, 54 (18.4%) indicated prior usage of CSA techniques, 21 (7.2%) reported prior use of DCRA tools, and 226 (77.1%) backed AI in the cybersecurity field. The highest rated DCRA requirements were continuous threat updates, identification of attacks and vulnerabilities, and prioritization of alerts based on risk. The highest rated implementation challenges were accuracy, relevance, and integration with current infrastructure. Four multi-item measures had good-to-outstanding internal consistency (α = 0.868–0.926; ω = 0.870–0.929), and parallel analysis supported a single factor for each. Exploratory findings suggested that Information Technology (IT) and cybersecurity professionals had greater familiarity with CSA and DCRA than did leaders and managers. There was a moderate-to-strong positive association between familiarity with CSA and DCRA (ρ = 54). The framework defines AI as a layer of analytical decision support, DCRA as the process of translating changing evidence into updated and prioritized risk information, and CSA as decision-relevant interpretation and use of that information. This framework will help SMEs to improve CSA and will help their leaders to make the right decisions when dealing with cyber threats. Full article

The objective of this paper is to examine the United Arab Emirates (UAE) as a test case of Gulf energy transition finance by analyzing how a hydrocarbon-dependent economy is constructing the financial, regulatory, and institutional architecture required to move from net-zero pledges to climate finance flows. Rather than treating climate finance as a set of isolated instruments, the paper conceptualizes the UAE’s approach as a state-led transition-finance model shaped by Gulf state capitalism, sovereign wealth accumulation, national oil company strategy, financial regulation, and post-COP28 climate diplomacy. Using a qualitative policy and institutional review, the paper maps the UAE’s transition-finance architecture across three interrelated dimensions: institutions and governance, financial instruments, and policy alignment. It examines the role of federal strategies such as Net Zero 2050 and the UAE Energy Strategy 2050, regulatory actors including the Central Bank of the UAE, the Securities and Commodities Authority (SCA), Abu Dhabi Global Market (ADGM), and Dubai Financial Services Authority (DFSA), and key financial mechanisms including green bonds and sukuk, sustainability-linked finance, sovereign wealth fund investments, national oil company decarbonization strategies, blended-finance platforms, and carbon-market mechanisms. The analysis finds that the UAE has developed a distinctive state-led, finance-centric model for financing the energy transition. This model enables rapid capital mobilization, de-risking of private investment, and strong international positioning, particularly following COP28 and the launch of ALTÉRRA. However, its effectiveness is constrained by unresolved tensions between net-zero ambition and hydrocarbon expansion, fragmented sustainable-finance regulation, limited carbon-pricing signals, uneven disclosure practices, underdeveloped domestic green capital markets, and restricted access to green finance for SMEs. The paper argues that the UAE’s climate-finance architecture is best understood neither as simple green diversification nor as symbolic climate positioning, but as an emerging Gulf model of transition finance: well-capitalized, and institutionally coordinated, yet structurally shaped by the same hydrocarbon rents and state-led governance logics it seeks to transform. By positioning the UAE as a benchmark, the paper contributes to debates on climate finance, state capitalism, and transition governance in hydrocarbon-dependent economies, while identifying the coherence gaps to be addressed for climate finance to support economy-wide decarbonization. Full article

The European sustainable finance agenda has increased the demand for ESG information, yet most small and medium-sized enterprises (SMEs) remain outside mandatory sustainability reporting requirements, which are largely designed for large listed firms. This creates an information gap for banks required to integrate ESG risks into credit assessment, while SMEs often lack proportionate tools to disclose and signal their sustainability-related practices. This paper addresses this gap by examining how an SME-oriented ESG rating can structure sustainability information in bank lending and which criteria and data can support a proportionate assessment framework for resource-constrained firms. Using Banca Etica’s internal socio-environmental rating model and a unique dataset of 2395 Italian SMEs, the study provides descriptive evidence on ESG score patterns by firm size, legal form and economic sector. The results suggest that Social and Governance dimensions are more readily assessable within the rating model, as they rely on observable organisational practices such as labour conditions, gender balance, stakeholder relations and governance structures. By contrast, Environmental scores are systematically lower, suggesting that environmental practices are more difficult to formalise and document through standardised assessment tools, especially when they require monitoring systems, certifications, technological adaptation and upfront investments. The paper contributes to the literature by linking the SME regulatory gap with a parallel gap in ESG rating research and by documenting how an internal bank-based ESG rating can structure SME sustainability information and support credit assessment processes. Rather than providing direct evidence of improved creditworthiness, the study shows how such ratings may function as potential signalling mechanisms for SMEs within relationship-based lending. Full article

As ESG considerations increasingly influence access to finance, participation in global supply chains, and long-term competitiveness, understanding which factors experts perceive as most likely to influence future ESG adoption among small and medium-sized enterprises (SMEs) has become an important issue in sustainable finance and corporate management research. While existing studies largely focus on ESG performance, disclosure, and implementation outcomes, limited attention has been paid to the relative importance of competing ESG-related adoption factors in SMEs in Kazakhstan, an emerging-market context, particularly in contexts where ESG adoption remains in its early stages. This study investigates expert perceptions of the factors most likely to shape ESG implementation decisions among SMEs in Kazakhstan. Drawing on Institutional Theory, the Resource-Based View (RBV), and the concept of double materiality, the study applies the Analytic Hierarchy Process (AHP) to evaluate six ESG-related criteria: coercive institutional pressure, normative pressure, organizational capabilities, financial materiality, impact materiality, and internal governance and processes. Expert judgments were collected through pairwise comparisons and aggregated using the geometric mean within a group AHP framework. The aggregated matrix demonstrated acceptable group-level consistency (CR = 0.0193), providing a basis for exploratory interpretation of the aggregated priority structure, while not validating the consistency of all individual judgments. The findings indicate a structured priority pattern among the expert-perceived ESG-related decision factors. The financial dimension received the highest priority weight, followed by coercive and normative pressure. Internal governance occupied an intermediate position, whereas impact materiality and organizational capabilities received nearly identical lower weights. These results suggest that experts expect future ESG adoption among Kazakhstani SMEs to be influenced primarily by financial relevance and regulatory compliance rather than by impact-oriented sustainability objectives or internally developed sustainability capabilities. This study contributes to the literature in three ways. First, it advances understanding of ESG adoption readiness and prioritization mechanisms among SMEs in Kazakhstan, as an emerging-market context, by integrating institutional, resource-based, and materiality-oriented perspectives. Second, it extends the debate on double materiality by suggesting that financially relevant ESG considerations may play a particularly important role in ESG-related decision-making under conditions of resource scarcity and institutional uncertainty. Third, it provides evidence relevant to ESG regulation, sustainable finance, and SME support policies in developing economies. More broadly, the findings suggest that within the Kazakhstani SME context, ESG is expected to become financially relevant before it becomes fully internalized as a strategic sustainability practice. Full article

Artificial intelligence (AI) is reshaping the global fashion industry, yet its adoption within the Australian market (a geographically isolated, SME-dominated sector) remains under-researched. This study explores the current state of AI implementation, the principal barriers, and the perceived opportunities in Australian fashion businesses, with particular attention to sustainability. Using a qualitative, exploratory design, we conducted semi-structured interviews with nine professionals spanning fashion-technology start-ups, sustainable manufacturing, textile recycling, ethical certification, and global retail planning, and analyzed them thematically through the Technology–Organization–Environment (TOE) framework. The findings indicate that AI adoption is nascent and fragmented, typically entering firms through vendor-embedded features rather than deliberate strategy. Contrary to international studies that foreground cost and data infrastructure as primary barriers, participants in this sample identified a risk-averse organizational culture and limited perceived need as the dominant constraints. Sustainability emerged as the most significant yet largely unrealized opportunity, spanning reduced overproduction, fewer size-related returns, and improved textile recycling. These exploratory insights offer a context-specific reading of the TOE framework, suggesting that organizational culture may weigh more heavily than technological capability in isolated, SME-dominated markets, and that cultural change, supported by tiered education and industry-specific value propositions, is needed to realize AI’s sustainability potential. Full article

Purpose: This study investigates how financial and entrepreneurial capability configurations differentiate internationalized from domestically oriented Thai SMEs. By adopting a decision-science perspective, the study identifies the capability patterns that shape firms’ strategic international orientation. Design/methodology/approach: This research, which utilizes survey and financial data from 179 Thai SMEs (2021–2023), employs an inductive machine learning approach based on Extreme Gradient Boosting (XGBoost). The analytical framework integrates profitability, liquidity, leverage, operational efficiency, international experience, team readiness, market knowledge, and institutional connectivity. Feature importance scores and confirmatory statistical tests are used to validate differentiating capability structures. Findings: Internationalized SMEs are characterized by stronger financial agility, higher profitability, disciplined leverage, and more efficient resource utilization, together with entrepreneurial preparedness reflected in international experience, risk tolerance, team coordination, and institutional embeddedness. Localized SMEs, by contrast, display liquidity-heavy but lower-dynamism profiles, weaker network engagement, and more limited organizational readiness. Practical implications: The findings suggest that SME support should move beyond finance-only assistance and address capability alignment. Programs that strengthen financial agility, team readiness, international market knowledge, digital channels, and institutional networks may improve SME readiness for international engagement. Originality/value: The study contributes to international business theory by reframing SME internationalization as a selective and configurational process rather than a linear or binary outcome. It extends the resource-based view by emphasizing capability bundles rather than isolated resources and contributes to the dynamic capabilities perspective by showing how financial, entrepreneurial, and institutional capabilities are associated with SMEs’ differentiated participation in international markets. Full article

The article frames the co-design activities developed in Phase 3 of the DeinSite project, aimed at promoting product innovation in traditional craft districts through dialogue between young designers, artisans, museums, and SMEs in Southern Italy. It introduces the DeinSite Co-Design Framework, a replicable methodological model integrating three complementary types of co-design–Open, Participatory, and Prototype-Led Co-Design–that guide the entire design process, from field research to co-creation to digital experimentation. Within this framework, the article delves into the Manus Maris workshop, focused on cameo and coral, a key sector of Campania’s productive activity. The workshop interprets the marine environment as a creative, cultural, and productive ecosystem, inspiring new narratives and formal languages that combine artisanal memory and technological innovation. Through collaborative activities, physical–digital prototyping, and an intergenerational exchange between designers and craftsmen, Manus Maris has generated experimental jewellery collections reinterpreting the local tangible and intangible heritage. The findings highlight the framework’s potential as a tool for activating systemic innovation in Southern Italy’s artisanal districts, enhancing museums as cultural and production hubs and promoting new synergies between tradition and contemporary design. The proposed model is a transferable methodology, useful for regenerating “Handmade in Italy” supply chains and constructing territorial ecosystems oriented towards innovation, sustainability, and international competitiveness. Full article

The primary objective of this article is to examine the organizational, economic, and sustainability-related implications of implementing artificial intelligence (AI) systems in small and medium-sized enterprises (SMEs) in Poland. The study combines a survey of 112 SMEs in the Kuyavian–Pomeranian region, including 70 AI-using firms, with 13 in-depth interviews with managers. The quantitative analysis applies logit models to identify determinants of perceived AI effects on internal processes: working time and workload reduction, automation, cost effects, and creativity. The qualitative component explains how AI is adopted and embedded in business practice. The results show that AI adoption in SMEs is increasingly common but remains uneven and mostly operational. The strongest effects concern workload reduction and time efficiency, particularly in service firms and where AI is used intensively. Advanced AI adoption increases the probability of perceiving workload and cost-related effects. However, these effects should not be interpreted simply as direct cost reduction. Rather, AI improves productivity and work capacity while creating new costs related to paid tools, data preparation, integration, output verification, and governance. The interviews show that AI implementation follows a staged path: from curiosity-driven experimentation, through cognitive work augmentation, to workflow integration and, in selected cases, AI-enabled business model innovation. The transition from ad hoc use to strategic implementation depends less on firm size alone and more on process maturity, capabilities, and data readiness. Barriers also change with maturity: early-stage firms face a lack of knowledge, time, and clear use cases, whereas advanced users encounter data quality, hallucinations, security, integration, and governance problems. The study finds that sustainability considerations, particularly environmental impacts and ESG-related implications of AI, remain largely unperceived in SME decision-making. Entrepreneurs primarily interpret sustainability through the lenses of organizational resilience, long-term competitiveness, adaptability, and responsible digital transformation rather than through formal environmental metrics. The findings suggest that SME managers should implement AI gradually, link adoption to measurable process-level outcomes, and invest in AI literacy and governance. They should also integrate responsible AI principles into organizational strategy to support sustainable digital transformation. The study contributes to the literature by showing that AI adoption in SMEs should be understood not only as a productivity-enhancing process but also as a broader organizational transition shaping long-term sustainability and resilience. Full article

Small and medium-sized enterprises (SMEs) are particularly vulnerable when crisis support systems are delayed, unreliable, or difficult to access. This study examines how South African SMEs maintained strategic continuity during COVID-19 by developing the concept of relational substitution, defined as a process in which owner-managers compensate for weak formal support by internalizing continuity work within the employment relationship. The study is based on a secondary qualitative analysis of 16 semi-structured interviews with SME owners in the Western Cape, South Africa, complemented by a targeted evidence review to inform boundary-condition assessment. The findings show that owner-managers assembled relational continuity bundles that combined labor flexibility, retention intent, transparent communication, and visible well-being support. Owners presented these bundles as efforts to sustain cooperation, trust, and operational functioning when enacted through fairness logics such as voice, transparency, equal sacrifice, and relational care. The study contributes to SME resilience and management and organization studies by distinguishing relational substitution from sustainable human resource management, organizational justice, relational leadership, and institutional fragility, and by specifying the firm-level and institutional conditions under which this mechanism is more likely to support strategic continuity. Full article

Digital transformation among small and medium enterprises (SMEs) in developing countries is limited by a persistent gap between prevailing adoption frameworks and the sociocultural realities of target populations. Frameworks such as the Technology Acceptance Model (TAM), the Technology-Organization-Environment (TOE) framework, UTAUT, and IDT were originally developed for industrialized contexts and do not adequately account for the cultural factors influencing adoption behavior in structurally distinct environments. A systematic mapping of 256 articles revealed that only 14 consider cultural behavior as a variable, and none utilize a validated cultural measurement instrument. This study introduces the Culturally Contextualized Digital Transformation Model (CC-DTM), a four-layer theoretical architecture that integrates the TOE framework, TAM constructs, and Hofstede’s cultural dimensions, operationalized as individual-level espoused values rather than national aggregate scores. The model incorporates a novel meso-level construct, Ecosystem Density, which mediates the relationship between environmental context and organizational readiness. The CC-DTM specifies 22 constructs and 15 directional hypotheses, organized into an initial empirical agenda (H1–H12) and deferred extensions (H13–H15). Additionally, a three-configuration typology based on internal SME attributes is developed. A two-phase validation roadmap, consisting of expert-panel content assessment and configurational case illustration across ten Chilean SMEs, is proposed. Full article

Morocco has developed one of the most comprehensive sustainability governance architectures among middle-income emerging economies, yet the relationship between its formal regulatory ambition and on-the-ground implementation effectiveness remains poorly understood. This narrative literature review provides an integrated, critically analytical account of Morocco’s sustainability governance system, organised around three interlocking dimensions: (i) a progressively strengthened legislative corpus anchored by the 2011 Constitution and Framework Law 99-12; (ii) a portfolio of national sustainability strategies aligning domestic policy with Paris Agreement commitments, Nationally Determined Contributions (NDCs), and the United Nations Sustainable Development Goals (SDGs); and (iii) corporate sustainability practices driven by regulatory obligations, international supply chain pressures, and ESG disclosure norms. Drawing on 124 sources, comprising 62 peer-reviewed articles, 38 legislative texts, and 24 institutional reports, and applying institutional isomorphism theory as an integrating analytical lens, the review advances three theoretical propositions concerning the conditions under which formal governance architectures translate into effective sustainability outcomes. It further proposes a validated conceptual framework and develops a comparative positioning of Morocco against peer economies (Tunisia, Egypt, South Africa, and Turkey). Critical implementation gaps are identified in enforcement capacity, SME integration, sustainability data infrastructure, and green finance, contributing a balanced and evidence-grounded assessment of Morocco’s sustainability transition. These findings offer actionable insights for policymakers, regulators, and business leaders operating in the Moroccan and broader African context. Full article

Aligned with Saudi Arabia’s Vision 2030, which emphasizes sustainability, innovation, and economic diversification, this study investigates how green innovation (GI), organizational learning (OL), and regulatory pressure (RP) influence sustainability performance (SP) among small and medium-sized enterprises (SMEs). Additionally, addressing a key theoretical gap, this study examines OL as a mediating mechanism and RP as a moderating factor in the GI–SP relationship, an area rarely explored in emerging economies. Grounded in the Resource-Based View and Dynamic Capabilities Theory. Methodology: This study adopts a quantitative, cross-sectional design and gathers data from 386 SME employees across Saudi Arabia using validated survey instruments. SPSS analysis revealed that GI significantly improved SP both directly and indirectly via OL, highlighting the critical role of internal learning capabilities. Furthermore, RP positively moderates the effect of GI on SP, indicating that supportive regulatory environments can amplify the benefits of innovation for sustainability outcomes. This study contributes to the literature by integrating internal capabilities and external pressures into a cohesive framework for understanding sustainability. Empirically, it offers fresh insights into the under-researched SME sector in Saudi Arabia. Practically, the findings provide valuable guidance for managers and policymakers to promote sustainability through enhanced learning culture and well-structured regulatory frameworks. Full article

Open innovation has become a central framework for explaining how firms access, integrate, and exploit knowledge beyond organizational boundaries. However, the conditions shaping its adoption by small- and medium-sized enterprises remain insufficiently understood, particularly in Latin American contexts. This study examines the determinants of open innovation adoption in Colombian SMEs and develops an analytical model that integrates six explanatory dimensions: external partnership and cooperation, government support, rules and regulatory factors, market and customer factors, organizational and human resource factors, and technological factors. Empirically, the study combines an exploratory qualitative phase, based on semi-structured interviews with SME managers in Bogotá, D.C., with a quantitative phase using survey data from 319 SMEs operating in ISIC 6201 and 6202. The hypotheses were tested using partial least squares structural equation modeling. The results show that technological factors have the strongest direct association with open innovation adoption, followed by government support and external partnership and cooperation. Market and customer factors, as well as organizational and human resource factors, also exert positive and significant effects, whereas rules and regulatory factors do not show a significant direct effect. Additional analyses indicate that organizational and human resource factors partially mediate the relationship between technological factors and open innovation adoption, while a complementary moderation test does not support an interaction-based effect. These findings suggest that open innovation adoption in SMEs is technologically enabled, partially translated through organizational and human resource capabilities, and shaped by a configuration of relational, institutional, market-based, and internal conditions rather than by any single determinant. Full article