Econovia: Journal of Economic Strategy and Development
Econovia publishes scholarly research and analytical perspectives in economics, socio-economic development, sustainability, and global business dynamics. The journal focuses on contemporary economic transformation, policy insights, digital economy, and inclusive growth, encouraging studies that integrate theoretical rigor with practical relevance. Contributions aim to advance interdisciplinary dialogue and provide meaningful insights for academics, policymakers, and practitioners addressing evolving economic challenges.
This journal applies the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
Collective Value Creation as the Generative Mechanism of Sustainable Entrepreneurial Ecosystems
Increasing sustainability challenges have exposed the limitations of entrepreneurial ecosystem research, which has predominantly emphasized structural configurations and economic outcomes while providing limited explanation of how ecosystem interactions generate enduring economic, social, and environmental value. This conceptual paper addresses this theoretical gap by developing a middle-range theory that explains the transition from entrepreneurial ecosystems to sustainable entrepreneurial ecosystems through the mechanism of collective value creation. Drawing on an integrative synthesis of Entrepreneurial Ecosystem Theory, Sustainable Entrepreneurship, Ecosystem Strategy, and Relational and Stakeholder Theory, the paper develops a theory-building framework that specifies core constructs, causal mechanisms, boundary conditions, and five theoretical propositions. The proposed framework positions collaborative resource orchestration as the enabling capability, collective value creation as the central generative mechanism, institutional reinforcement as the system-level outcome, and adaptive resilience as the long-term capability of sustainable entrepreneurial ecosystems. By shifting analytical attention from ecosystem composition to ecosystem processes, the framework advances existing scholarship through a coherent explanation of how sustainability emerges from collaborative interactions among heterogeneous actors. The proposed middle-range theory provides a foundation for cumulative theory development and offers a theoretically grounded agenda for future empirical research across diverse entrepreneurial ecosystem contexts.
Copyright (c) 2026 Stella Yulien Sahetapy Engel (Author) https://creativecommons.org/licenses/by/4.0
Community Embeddedness as the Missing Mechanism of Entrepreneurial Ecosystem Resilience
Entrepreneurial ecosystems are increasingly expected to withstand recurrent disruptions while sustaining entrepreneurial activity and regional development. Although existing research has identified the structural components, institutional arrangements, and governance mechanisms that shape entrepreneurial ecosystems, it provides limited explanation of how localized social relationships are transformed into ecosystem-level resilience. Addressing this theoretical gap, this conceptual article develops a middle-range theoretical framework that positions community embeddedness as the missing generative mechanism linking ecosystem relationships to resilience outcomes. Drawing on the integration of entrepreneurial ecosystem theory, embeddedness theory, social capital theory, ecosystem governance, and resilience literature, the article proposes that community embeddedness converts locally embedded relationships into four interconnected resilience capacities: resource retention, trusted coordination, distributed sensemaking, and collective reconfiguration. Together, these capacities explain how entrepreneurial ecosystems absorb shocks, adapt to changing conditions, and reorganize while maintaining their core entrepreneurial functions. By advancing a process-oriented explanation of entrepreneurial ecosystem resilience, the proposed framework extends embeddedness theory to the ecosystem level, integrates previously fragmented theoretical perspectives, and establishes a foundation for future empirical research aimed at validating and refining the proposed middle-range theory across diverse entrepreneurial contexts.
Copyright (c) 2026 Maria Rante Lembang (Author) https://creativecommons.org/licenses/by/4.0
Entrepreneurial English Competence and Competitiveness in Micro and Small Enterprises: A Linguistic Resource Conversion Perspective
Digitalization has expanded market connectivity for micro and small enterprises (MSEs), but access to geographically dispersed markets does not necessarily translate into competitive economic outcomes. A critical theoretical gap concerns how entrepreneur-held English communication competence becomes a venture-level capability capable of converting market possibilities into economic value. Addressing this gap, the article develops Entrepreneurial Linguistic Resource Conversion Theory (ELRCT), a middle-range explanation of linguistic resource conversion in owner-dependent MSEs. The theory integrates language-sensitive international business research, resource-based and dynamic capability perspectives, market-facing capability reasoning, and opportunity research to specify a conditional cross-level conversion mechanism. ELRCT conceptualizes Entrepreneurial English Communication Competence as a situated entrepreneurial resource that contributes to Market Interface Capability, which facilitates Opportunity Conversion and subsequently Entrepreneurial Competitiveness. Digital Market Embeddedness and Cross-Border Market Exposure delimit the strength of these conversion processes. By replacing direct proficiency–performance reasoning with a resource-capability-realization logic, ELRCT clarifies the linguistic microfoundations of market-facing capability and provides testable propositions for examining when linguistic resources acquire competitive economic value in MSEs.
entrepreneurial english communication competence
Copyright (c) 2026 Laili Rahmatul Fajri (Author) https://creativecommons.org/licenses/by/4.0
Market Signaling Capability under Economic Uncertainty: Toward a Theory of Strategic Credibility Formation
Economic uncertainty intensifies information asymmetry precisely when established market cues become less diagnostic, increasing external audiences’ dependence on organizational signals while making their interpretation more difficult. Although signaling research explains signal characteristics, credibility, and receiver responses, it offers a less developed account of why some firms are systematically better able to adapt signaling as informational conditions change. This article develops Strategic Credibility Formation Theory (SCFT), a middle-range theory centered on market signaling capability (MSC), by integrating signaling theory with dynamic capabilities, resource orchestration, sensemaking, attention, and managerial cognition. SCFT conceptualizes MSC as a repeatable capacity to sense changing information needs, select diagnostic cues, orchestrate consistent and behaviorally coherent signal configurations, and adapt them over time. The proposed recursive model explains strategic credibility as an evolving receiver judgment that accumulates, erodes, and may recover through repeated comparisons between signals, organizational conduct, and realized outcomes. The framework advances signaling theory from isolated signals toward capability, configuration, and temporal process, and establishes testable propositions for construct validation, longitudinal credibility updating, receiver heterogeneity, and cross-context empirical research.
Copyright (c) 2026 Maria C.B Manteiro (Author) https://creativecommons.org/licenses/by/4.0
Financial Reconfiguration Capacity under Economic Uncertainty: Toward a Middle-Range Theory of Adaptive Capital Allocation
Economic uncertainty can rapidly undermine the fit between firms’ existing financial commitments and emerging economic requirements, yet financial flexibility research primarily explains the value of preserving financial room rather than how firms actively reorganize that room when capital configurations become misaligned. This conceptual paper develops Financial Reconfiguration Capacity (FRC) as a middle-range theory of adaptive capital allocation. Integrating insights from financial flexibility, strategic flexibility and real-options logic, dynamic capabilities, and resource orchestration, the paper specifies FRC as a repeatable firm-level capability for detecting capital misalignment and deliberately reorganizing financial resources. The proposed framework identifies four interdependent mechanisms: capital reprioritization, funding recomposition, financial resource redeployment, and temporal resynchronization. Together, these mechanisms enable firms to restore alignment between capital configurations and changing economic conditions. The theory shifts attention from possessing financial flexibility to exercising financial adaptability and explains why firms with comparable financial resources may respond differently to similar uncertainty. It also establishes a research agenda for operationalizing FRC, testing its boundary conditions, and examining its effects on adaptive capital allocation and organizational resilience.
Copyright (c) 2026 Amram Rohi Bire (Author) https://creativecommons.org/licenses/by/4.0
Entrepreneurial Resource Reconfiguration under Economic Disruption: Toward a Theory of Venture Adaptive Capacity
Economic disruptions can rapidly undermine the suitability of entrepreneurial ventures’ existing resource configurations, yet existing research provides limited explanation of how resource-constrained ventures reconstruct their resource architecture under such conditions. This conceptual article develops a middle-range theory of Entrepreneurial Resource Reconfiguration (ERR) to address the resource-level mechanism linking economic disruption to sustained entrepreneurial adaptation. Integrating insights from environmental jolts, dynamic capabilities, resource orchestration, entrepreneurial learning, and crisis research, the framework conceptualizes Resource–Environment Misfit (REM) as the condition through which disruption activates reconfiguration. ERR operates through four complementary mechanisms—resource release, redeployment, recombination, and selective acquisition—which enable ventures to reconstruct inadequate resource configurations. Repeated and effective reconfiguration subsequently develops Venture Adaptive Capacity (VAC), expressed through configuration responsiveness, resource mobility, and adaptive recombinability, while resource accessibility, learning rigidity, and relational resource access condition this relationship. The framework advances adaptation theory by specifying a bounded causal architecture connecting disruption, misfit, resource-level action, and emergent adaptive capacity, and provides propositions for longitudinal, construct-validation, and cross-context empirical research.
entrepreneurial resource reconfiguration
Copyright (c) 2026 Thayib (Author) https://creativecommons.org/licenses/by/4.0
Artificial intelligence is accelerating the emergence of adaptive economies by reshaping how organizations, institutions, and ecosystems create, coordinate, and sustain value under persistent uncertainty. This editorial synthesizes the intellectual contributions of this issue by arguing that adaptive capability, rather than technological adoption alone, constitutes the central mechanism through which economic resilience, institutional transformation, and sustainable competitiveness are achieved.
Copyright (c) 2026 Safroni Isrososiawan (Author) https://creativecommons.org/licenses/by/4.0
Innovation Diffusion under Geopolitical Uncertainty: Toward a Theory of Strategic Industrial Competitiveness
Growing geopolitical fragmentation has fundamentally reshaped the global innovation landscape by disrupting cross-border knowledge flows, technological collaboration, and industrial ecosystems. While existing studies have documented the effects of geopolitical uncertainty on corporate innovation and strategic decision-making, current theoretical perspectives remain fragmented in explaining how innovation diffusion can be strategically reconfigured to sustain industrial competitiveness under persistent geopolitical disruption. This conceptual paper addresses this theoretical gap by developing a middle-range framework that integrates innovation diffusion theory, dynamic capabilities, absorptive capacity, innovation ecosystems, and geopolitical risk into a unified explanatory model. Through critical theory synthesis and conceptual integration, the paper proposes the Theory of Strategic Industrial Competitiveness, which conceptualizes innovation diffusion as a strategic organizational capability rather than a passive dissemination process. The proposed framework explains how geopolitical uncertainty stimulates strategic adaptation, strengthens innovation diffusion capability, enhances industrial resilience, and ultimately generates sustainable industrial competitiveness. By repositioning innovation diffusion as a mechanism of strategic capability development, this study extends existing innovation and strategic management theories while providing a theoretical foundation for future empirical research on industrial transformation, technological resilience, and innovation governance in an increasingly fragmented global economy.
Copyright (c) 2026 Eri Novari, Dewi Kurniasari (Author) https://creativecommons.org/licenses/by/4.0
Building Regional Economic Resilience through AI Capability Orchestration
Artificial intelligence (AI) is increasingly recognized as a strategic driver of digital transformation and regional development; however, existing scholarship provides fragmented explanations of how AI investments translate into resilient regional economic outcomes. This conceptual paper addresses this theoretical gap by developing a middle-range theory that explains the mechanisms linking AI capability, ecosystem coordination, inclusive digital transformation, and regional economic resilience. Drawing on Dynamic Capabilities Theory, Resource Orchestration Theory, ecosystem perspectives, digital transformation research, and regional resilience literature, the study adopts an integrative conceptual synthesis to identify the missing causal mechanism underlying AI-enabled regional adaptation. The paper proposes AI Capability Orchestration Theory, which conceptualizes AI capability as a regionally embedded strategic capability whose developmental value emerges through deliberate coordination among heterogeneous ecosystem actors. The proposed framework specifies four core constructs, a sequential capability-development mechanism, contextual boundary conditions, and six theoretical propositions explaining how orchestrated AI capabilities foster inclusive digital transformation and subsequently strengthen regional economic resilience. By integrating previously disconnected theoretical perspectives into a coherent explanatory framework, this study advances theory development at the intersection of strategic management and regional development while providing a rigorous foundation for future empirical validation and comparative research on AI-enabled regional transformation.
Copyright (c) 2026 Maria Bernadetha Ringa, Ericka Dania (Author) https://creativecommons.org/licenses/by/4.0
Development Finance Adaptive Capacity under Polycrisis: Toward a Middle-Range Theory of Economic Transformation Resilience
The increasing convergence of interconnected global crises has fundamentally reshaped the context in which development finance operates, exposing the limitations of conventional theories that primarily explain the relationship between finance and economic growth under relatively stable conditions. Although recent scholarship has expanded discussions on resilience, climate finance, digital finance, and transformational adaptation, these perspectives remain fragmented and provide limited explanation of how development finance systems sustain long-term economic transformation under persistent polycrisis. This conceptual paper addresses this theoretical gap by developing a middle-range theory of Development Finance Adaptive Capacity (DFAC). Drawing on an integrative synthesis of the finance–growth, development finance, adaptive capacity, resilience, and polycrisis literature, the study proposes a conceptual framework that explains the adaptive mechanisms through which development finance supports economic transformation resilience. The framework conceptualizes DFAC as a higher-order construct comprising four interrelated dimensions: resource mobilization, institutional coordination, financial reconfiguration, and transformational learning. By repositioning development finance as an adaptive institutional capability rather than merely a financing mechanism, the proposed theory extends existing development finance literature and provides a foundation for future construct operationalization, empirical validation, and policy innovation aimed at strengthening resilient and sustainable economic transformation under conditions of persistent systemic uncertainty.
Copyright (c) 2026 Euis Bandawati, Zulkarnaen (Author) https://creativecommons.org/licenses/by/4.0
Beyond Tax Compliance: Developing a Fiscal Adaptability Theory for AI-Based Digital Economies
Artificial intelligence-driven digital economies have transformed the institutional environment of taxation, creating challenges that extend beyond taxpayer compliance to the adaptive capacity of tax administrations. Although research on tax compliance, digital taxation, and technology-enabled enforcement has expanded, existing studies provide fragmented explanations of how fiscal institutions sustain long-term revenue capacity amid technological disruption. This conceptual paper addresses this gap by developing a middle-range theory explaining the adaptive mechanisms through which tax administrations respond to AI-driven digital transformation. Integrating Tax Compliance Theory, Institutional Theory, Dynamic Capabilities Theory, and Digital Government Theory, the study develops Fiscal Adaptability Theory, positioning fiscal adaptability as the core organizational capability linking AI-Enabled Fiscal Intelligence, Fiscal Sensing Capability, Institutional Learning, Adaptive Fiscal Governance, Adaptive Enforcement, and Revenue Sustainability. The proposed framework shifts attention from taxpayer behavior to institutional adaptability, explaining how technological intelligence is translated into sustainable fiscal outcomes through adaptive organizational processes. The theory provides a conceptual foundation for future empirical research while offering strategic insights for strengthening adaptive tax administration and fiscal resilience in rapidly evolving AI-driven digital economies.
Copyright (c) 2026 Silfi Oktariyani (Author) https://creativecommons.org/licenses/by/4.0
From Human Capital to Adaptive Workforce Ecosystems: Explaining Labor Resilience under AI-Driven Economic Transformation
Artificial intelligence (AI) is rapidly transforming labor markets by reshaping occupational structures, competency requirements, and organizational work systems, creating persistent challenges for workforce resilience that existing theories explain only partially. Although Human Capital Theory, Dynamic Capability Theory, Employability Theory, and Digital Transformation research provide valuable insights, they remain fragmented and fail to explain how workforce resilience emerges through coordinated adaptation among multiple institutional actors. This conceptual paper addresses this gap by developing Adaptive Workforce Ecosystem Theory (AWET), a middle-range theory explaining workforce resilience in AI-driven economic transformation. Using an integrative theory-building approach, the study synthesizes perspectives from strategic management, human resource management, labor economics, and digital transformation to construct a conceptual framework centered on Adaptive Capability Synchronization (ACS) as its core generative mechanism. AWET conceptualizes workforce resilience as an emergent ecosystem capability arising from recursive interactions among organizations, workers, educational institutions, governments, and technology providers. The theory extends existing perspectives beyond individual and organizational levels, establishes a foundation for future empirical research, and offers strategic guidance for organizations and policymakers seeking to develop resilient workforce ecosystems in the age of AI.
labor resilience; artificial intelligence
Copyright (c) 2026 Taufik Muhamad Riyadi (Author) https://creativecommons.org/licenses/by/4.0
Adaptive Financial Ecosystems under Polycrisis: Toward a Theory of Financial Resilience for Economic Transformation
The increasing convergence of climate change, geopolitical instability, technological disruption, pandemics, and financial volatility has created a polycrisis environment that fundamentally challenges conventional understandings of financial resilience. Existing studies predominantly conceptualize financial resilience as the capacity to preserve stability or recover from isolated shocks, providing limited explanation of how financial systems continuously adapt and contribute to long-term economic transformation under persistent systemic uncertainty. This conceptual paper addresses this theoretical gap by developing the Theory of Adaptive Financial Resilience (TAFR), which integrates insights from resilience theory, complexity science, financial ecosystem research, systemic risk literature, and sustainability transition studies into a unified conceptual framework. The proposed framework positions the Adaptive Financial Ecosystem as the primary unit of analysis and conceptualizes financial resilience as an emergent capability generated through institutional agility, organizational learning, financial innovation, network reconfiguration, and collaborative governance. By reframing financial resilience as an adaptive and transformative ecosystem capability, this study extends existing theory beyond stability-oriented perspectives and provides a coherent foundation for explaining how financial systems can sustain economic transformation under polycrisis. The framework also offers a platform for future empirical validation and further theoretical development in adaptive finance and systemic resilience research.
Copyright (c) 2026 Agung Wahyu Ginanjar (Author) https://creativecommons.org/licenses/by/4.0
Demographic Transition and the Reconfiguration of Human Capital: Toward a Theory of Global Talent Redistribution
Global demographic structures are undergoing profound transformation as declining fertility, population aging, and uneven population growth reshape the distribution of labor and human capital across economies. While existing research addresses demographic change, migration, and global talent management, these perspectives remain theoretically fragmented and offer limited explanation of how demographic transition systematically reconfigures the global allocation of skilled labor. This article develops a conceptual framework explaining how demographic transition drives the redistribution of human capital through global talent mobility. Drawing on demographic transition theory, human capital theory, and global talent management literature, the study introduces the Global Talent Redistribution Framework, which conceptualizes demographic change as a structural source of labor market imbalances. These imbalances stimulate cross-border talent mobility through migration, organizational mobility, and digitally mediated global work. Through these mechanisms, demographic transformation reshapes the spatial distribution of skills and knowledge across economies. By integrating demographic structures with talent mobility and human capital allocation, the framework advances theoretical understanding of global workforce dynamics and provides a foundation for future empirical research on the evolving geography of global talent.
Copyright (c) 2026 Econovia: Journal of Economic Strategy and Development
Demographic Aging and Market Transformation: Conceptualizing the Emergence of the Silver Economy
Population aging is transforming demographic structures worldwide and increasingly reshaping patterns of consumption, innovation, and market development. Despite growing interest in aging markets, existing research remains fragmented across demographic economics, consumer aging research, and service innovation studies, offering limited theoretical explanations of how demographic change generates systemic market transformation. This article addresses this gap by developing a conceptual framework that explains the emergence of the silver economy as a demographic-driven market ecosystem. The study integrates insights from consumer lifecycle theory, service-dominant logic, and innovation and market creation perspectives to clarify the mechanisms linking demographic aging with longevity-oriented consumption and service innovation. The framework proposes that demographic aging generates longevity-related needs that reshape consumption priorities, stimulate the development of age-adaptive service innovation, and ultimately contribute to the formation of interconnected market ecosystems supporting longer and healthier lives. By conceptualizing the silver economy as a systemic outcome of demographic transformation rather than a collection of sector-specific industries, the article advances a demographic perspective on market evolution and innovation. The framework contributes to marketing and management research by clarifying how demographic forces drive market formation and offers a foundation for future empirical research examining demographic-driven market transformation across industries and institutional contexts.
Population Aging and Technological Substitution: Conceptualizing the Demography-Driven Automation Economy
Population aging and rapid advances in automation technologies are reshaping contemporary economic systems and raising important questions about the structural drivers of technological change. While existing research has extensively examined the effects of automation on labor markets and productivity, demographic dynamics are often treated as background conditions rather than as active forces influencing technological trajectories. This article addresses this theoretical gap by developing a conceptual framework that explains how demographic transformation can shape firms’ incentives to adopt automation technologies. Using a conceptual theory-building approach, the study synthesizes insights from demographic economics, directed technological change, and task-based automation research to construct an integrative analytical model. The proposed framework conceptualizes population aging as a structural driver that generates labor scarcity, which in turn encourages technological substitution in production processes. This mechanism leads to the emergence of what the article conceptualizes as a demography-driven automation economy, in which demographic pressures systematically influence technological adoption and innovation incentives. By clarifying the mechanisms linking demographic change, labor scarcity, and automation adoption, the framework contributes to theoretical integration across previously fragmented literatures and provides a foundation for future empirical research examining the interaction between demographic transformation and technological change.
Demographic Divergence and the Future of Global Economic Power: A Conceptual Analysis of Population Asymmetry
Demographic change is increasingly uneven across countries, producing divergent trajectories of fertility decline, population aging, and migration dynamics. While some advanced economies face shrinking labor forces and rising dependency burdens, many emerging economies continue to experience expanding working-age populations. This article develops a conceptual framework explaining how such demographic divergence may reshape the distribution of global economic power. The study introduces the concept of population asymmetry, defined as structural differences across countries in labor-force renewal capacity, dependency burdens, and market expansion potential resulting from uneven demographic transitions. Building on insights from demographic economics, migration studies, and international political economy, the article identifies four transmission mechanisms through which demographic asymmetry influences economic outcomes: production capacity asymmetry, demand structure asymmetry, mobility connectivity asymmetry, and fiscal dependency asymmetry. The framework further highlights the moderating roles of human capital development, technological capability, institutional capacity, and migration policies. By integrating previously fragmented literatures, the article proposes a conceptual model of demographic power rebalancing, suggesting that persistent demographic asymmetries may gradually reshape global economic hierarchies through differential growth trajectories, shifting trade centrality, and evolving patterns of investment and labor mobility.
Fertility Decline and the Transformation of Consumption Structures: A Conceptual Framework of Demographic Demand Shifts
Global fertility decline has become a major demographic transformation shaping contemporary societies. While prior research has focused on its implications for labor markets, aging, and welfare systems, its effects on consumption structures remain fragmented. This article develops a conceptual framework explaining how fertility decline reshapes market demand through household-level mechanisms. Drawing on demographic transition theory, household economics, and consumer behavior, the study introduces the concept of Demographic Demand Shifts, referring to structural changes in consumption patterns driven by demographic transformation. The framework proposes a multi-stage process in which declining fertility leads to smaller households, delayed parenthood, and rising childlessness, thereby transforming household structures. These changes trigger the reallocation of financial and temporal resources, shifting consumption toward adult-centered, experience-oriented, and longevity-related goods and services. Over time, these micro-level adjustments aggregate into broader transformations in market demand, increasing the prominence of service-based consumption. The framework also highlights the moderating roles of welfare institutions and digital economy infrastructure. By clarifying the mechanisms linking demographic change to consumption transformation, this study provides a theoretical foundation for future research on evolving consumption systems.
Demographic Transformations and the Future of the Global Economy
Demographic transformations increasingly shape the trajectory of the global economy. Declining fertility, population aging, and uneven demographic transitions are restructuring labor markets, consumption systems, and technological adoption across countries. These shifts influence productivity dynamics, fiscal sustainability, and patterns of global economic power. Integrating insights from demographic economics, labor economics, and international political economy, the analysis highlights demographic change as a structural driver of long-term economic transformation in contemporary economic systems.
Demographic Aging and the Reconfiguration of Global Labor Markets: Toward a Theory of Workforce Scarcity
Population aging is reshaping the structure of global labor markets, yet existing research often examines its economic consequences through fragmented perspectives focused on productivity decline, fiscal pressure, or labor supply contraction. This article advances an integrative conceptual framework that explains how demographic aging triggers a structural reconfiguration of labor markets through the emergence of workforce scarcity. Drawing on demographic economics, labor market theory, and organizational adaptation literature, the study synthesizes prior research to develop a multi-level explanation of how shrinking working-age populations transform the dynamics of labor allocation, firm strategy, and institutional arrangements. The proposed framework conceptualizes workforce scarcity not merely as a demographic outcome but as a structural condition that reorganizes labor demand, skill formation, technological substitution, and cross-border labor mobility. By integrating insights across demographic and economic research streams, the article develops a theory of workforce scarcity that clarifies the mechanisms through which aging societies reshape labor market equilibrium. The framework contributes to the literature by offering a coherent theoretical foundation for understanding how demographic aging reorganizes labor market structures and firm behavior in advanced and emerging economies.