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This study examines how firms adapt strategically to trade-policy shocks using the Trade-Adaptive Capabilities for Transformation (TRACT) model, developed to extend the Dynamic Capabilities Theory. The research adopted a quantitative design based on Structural Equation Modeling and analyzed multi-country datasets from the World Bank, OECD, and UNIDO to assess how strategic reconfiguration, process flexibility, and knowledge integration influence firm performance under varying institutional stability. The results revealed that reconfiguration (β = 0.41, p \u003c 0.01), flexibility (β = 0.29, p \u003c 0.01), and knowledge integration (β = 0.22, p \u003c 0.05) jointly explained 68 percent of performance variance, with institutional stability amplifying these effects by 0.12 units in moderated models. Firms in India and comparable emerging economies that institutionalized adaptive routines showed up to 22 percent higher export growth and 18 percent lower cost volatility compared to peers in unstable regimes. This research contributes to theory by extending the Dynamic Capabilities framework through the addition of institutional sensitivity, thereby broadening its explanatory scope and offering a refined framework for understanding trade-policy adaptation in manufacturing sectors across diverse economies. The findings advance global debates on resilience, showing that adaptability now depends as much on governance predictability as on internal capability strength. The study offers implications for management and policy: firms should invest in digital and modular systems for rapid adaptation, while governments should enhance institutional predictability to sustain competitiveness. Future research should expand cross-sector testing of the TRACT framework to strengthen its global generalizability."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.23481635","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-10-19T18:23:56Z","registered":"2026-10-19T18:23:56Z","published":null,"updated":"2026-10-19T18:23:56Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.23448465","type":"dois","attributes":{"doi":"10.5281/zenodo.23448465","identifiers":[{"identifier":"2455-5630","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath \u0026 Paul Johnson Asamoah","name":"Divya Vishwanath \u0026 Paul Johnson Asamoah","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"INSTITUTIONAL FACTORS SHAPING AI-DRIVEN DIGITAL TRANSFORMATION: THE INFLUENCE OF REGULATION, ORGANIZATIONAL CULTURE, AND COORDINATION ON INNOVATIVE OPERATIONS IN IRAQ"}],"publisher":"Zenodo","container":{},"publicationYear":2025,"subjects":[],"contributors":[],"dates":[{"date":"2025-12-30","dateType":"Issued"},{"date":"2025-12-30","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","resourceTypeGeneral":"Text","relatedIdentifier":"2455-5630","relatedIdentifierType":"ISSN"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.23448466","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2455 - 5630","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Artificial intelligence (AI) is increasingly influencing digital transformation across industries, while its effective implementation in fragile economies such as Iraq depends on institutional capacity, regulatory effectiveness, and organizational readiness. This study investigated the roles of regulatory frameworks, organizational culture, and institutional coordination in shaping innovative operations in Iraq between 2020 and 2024. A descriptive and explanatory research design was adopted, drawing on 105 secondary data cases from international and national sources. Correlation and regression analyses were employed to examine the relationships between institutional factors and operational outcomes. The findings reveal that the number of digital laws increased from 2 to 8, regulatory agencies expanded from 1 to 4, and the proportion of firms implementing compliance systems rose from 6 to 25 percent. Similarly, innovation-oriented firms increased from 18 to 40 percent, employee training participation grew from 12 to 35 percent, and public trust in digital systems improved from 20 to 42 percent. Institutional collaboration also expanded, with inter-agency projects increasing from 2 to 6, public-private partnerships rising from 1 to 5, and regional agreements growing from 1 to 3. These developments coincided with improvements in operational outcomes, including service innovation reaching 30 percent of agencies, efficiency gains attaining 22 percent, transparency increasing to 27 percent, and responsiveness improving by 21 percent. Correlation analysis identified positive associations with regulation (0.80), organizational culture (0.74), and coordination (0.69), whereas institutional constraints exhibited a negative association (-0.56). Regression results indicated that regulation had the largest estimated effect (β = 0.42), followed by culture (β = 0.30) and coordination (β = 0.25), while constraints negatively affected outcomes (β = -0.19). Overall, the model explained 83 percent of the variation in innovative operational outcomes. The findings underscore the importance of effective legal enforcement, organizational trust, continuous workforce development, and inter-institutional collaboration in strengthening digital transformation. Accordingly, the study recommends improving regulatory implementation, aligning organizational cultures with digital innovation, establishing coordinated AI governance mechanisms, and maintaining policy stability to promote resilient, competitive, and inclusive digital transformation in Iraq."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.23448465","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":1,"versionOfCount":0,"created":"2026-10-18T07:38:31Z","registered":"2026-10-18T07:38:32Z","published":null,"updated":"2026-10-18T07:38:32Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.23448466","type":"dois","attributes":{"doi":"10.5281/zenodo.23448466","identifiers":[{"identifier":"oai:zenodo.org:23448466","identifierType":"oai"},{"identifier":"2455-5630","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath \u0026 Paul Johnson Asamoah","name":"Divya Vishwanath \u0026 Paul Johnson Asamoah","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"INSTITUTIONAL FACTORS SHAPING AI-DRIVEN DIGITAL TRANSFORMATION: THE INFLUENCE OF REGULATION, ORGANIZATIONAL CULTURE, AND COORDINATION ON INNOVATIVE OPERATIONS IN IRAQ"}],"publisher":"Zenodo","container":{},"publicationYear":2025,"subjects":[],"contributors":[],"dates":[{"date":"2025-12-30","dateType":"Issued"},{"date":"2025-12-30","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","resourceTypeGeneral":"Text","relatedIdentifier":"2455-5630","relatedIdentifierType":"ISSN"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.23448465","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2455 - 5630","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Artificial intelligence (AI) is increasingly influencing digital transformation across industries, while its effective implementation in fragile economies such as Iraq depends on institutional capacity, regulatory effectiveness, and organizational readiness. This study investigated the roles of regulatory frameworks, organizational culture, and institutional coordination in shaping innovative operations in Iraq between 2020 and 2024. A descriptive and explanatory research design was adopted, drawing on 105 secondary data cases from international and national sources. Correlation and regression analyses were employed to examine the relationships between institutional factors and operational outcomes. The findings reveal that the number of digital laws increased from 2 to 8, regulatory agencies expanded from 1 to 4, and the proportion of firms implementing compliance systems rose from 6 to 25 percent. Similarly, innovation-oriented firms increased from 18 to 40 percent, employee training participation grew from 12 to 35 percent, and public trust in digital systems improved from 20 to 42 percent. Institutional collaboration also expanded, with inter-agency projects increasing from 2 to 6, public-private partnerships rising from 1 to 5, and regional agreements growing from 1 to 3. These developments coincided with improvements in operational outcomes, including service innovation reaching 30 percent of agencies, efficiency gains attaining 22 percent, transparency increasing to 27 percent, and responsiveness improving by 21 percent. Correlation analysis identified positive associations with regulation (0.80), organizational culture (0.74), and coordination (0.69), whereas institutional constraints exhibited a negative association (-0.56). Regression results indicated that regulation had the largest estimated effect (β = 0.42), followed by culture (β = 0.30) and coordination (β = 0.25), while constraints negatively affected outcomes (β = -0.19). Overall, the model explained 83 percent of the variation in innovative operational outcomes. The findings underscore the importance of effective legal enforcement, organizational trust, continuous workforce development, and inter-institutional collaboration in strengthening digital transformation. Accordingly, the study recommends improving regulatory implementation, aligning organizational cultures with digital innovation, establishing coordinated AI governance mechanisms, and maintaining policy stability to promote resilient, competitive, and inclusive digital transformation in Iraq."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.23448466","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-10-18T07:38:31Z","registered":"2026-10-18T07:38:32Z","published":null,"updated":"2026-10-18T07:38:32Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.23448441","type":"dois","attributes":{"doi":"10.5281/zenodo.23448441","identifiers":[{"identifier":"2455-4200","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath \u0026 Paul Johnson Asamoah","name":"Divya Vishwanath \u0026 Paul Johnson Asamoah","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"ARTIFICIAL INTELLIGENCE AND DIGITAL TRANSFORMATION: ASSESSING THE DRIVERS OF TECHNOLOGICAL PROGRESS ACROSS INDUSTRIES IN IRAQ"}],"publisher":"Zenodo","container":{},"publicationYear":2025,"subjects":[],"contributors":[],"dates":[{"date":"2025-12-30","dateType":"Issued"},{"date":"2025-12-30","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","resourceTypeGeneral":"Text","relatedIdentifier":"2455-4200","relatedIdentifierType":"ISSN"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.23448442","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2455 - 4200","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Artificial intelligence (AI) has become a significant driver of digital transformation across global industries, although developing economies such as Iraq encounter distinctive challenges in realizing its full potential. This study examined digital transformation in Iraq from 2020 to 2024, focusing on the influence of digital infrastructure, human capacity, and governance on service efficiency, transparency, industrial productivity, and digital inclusion. A descriptive and analytical research design was employed, utilizing 105 secondary data points obtained from international and national sources. Correlation and regression analyses were conducted to evaluate the relationships between key factors and digital transformation outcomes. The findings indicate that service processing times decreased from 20 to 10 days, transparency scores increased from 25 to 35, industrial productivity improved from 1.5 to 4.5 percent, and internet penetration expanded from 48 to 65 percent. Correlation results demonstrated positive associations between digital transformation and infrastructure (0.78), human capacity (0.72), and governance (0.69), whereas contextual constraints exhibited a negative association (-0.55). Regression analysis identified infrastructure readiness as the strongest contributing factor (β = 0.41), followed by human capacity (β = 0.29) and governance (β = 0.22), while contextual constraints negatively influenced progress (β = -0.18). These findings highlight the importance of strengthening technological infrastructure, developing AI-related skills, and improving regulatory governance to accelerate digital transformation in Iraq. The study recommends expanding broadband connectivity in rural communities, increasing AI training opportunities, strengthening the enforcement of digital regulations, and integrating cyber security measures into national development strategies. Collectively, these measures can support a more resilient, efficient, and inclusive digital transformation process across Iraq's industrial and public service sectors."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.23448441","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":1,"versionOfCount":0,"created":"2026-10-18T07:35:56Z","registered":"2026-10-18T07:35:56Z","published":null,"updated":"2026-10-18T07:35:56Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.23448442","type":"dois","attributes":{"doi":"10.5281/zenodo.23448442","identifiers":[{"identifier":"oai:zenodo.org:23448442","identifierType":"oai"},{"identifier":"2455-4200","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath \u0026 Paul Johnson Asamoah","name":"Divya Vishwanath \u0026 Paul Johnson Asamoah","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"ARTIFICIAL INTELLIGENCE AND DIGITAL TRANSFORMATION: ASSESSING THE DRIVERS OF TECHNOLOGICAL PROGRESS ACROSS INDUSTRIES IN IRAQ"}],"publisher":"Zenodo","container":{},"publicationYear":2025,"subjects":[],"contributors":[],"dates":[{"date":"2025-12-30","dateType":"Issued"},{"date":"2025-12-30","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","resourceTypeGeneral":"Text","relatedIdentifier":"2455-4200","relatedIdentifierType":"ISSN"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.23448441","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2455 - 4200","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Artificial intelligence (AI) has become a significant driver of digital transformation across global industries, although developing economies such as Iraq encounter distinctive challenges in realizing its full potential. This study examined digital transformation in Iraq from 2020 to 2024, focusing on the influence of digital infrastructure, human capacity, and governance on service efficiency, transparency, industrial productivity, and digital inclusion. A descriptive and analytical research design was employed, utilizing 105 secondary data points obtained from international and national sources. Correlation and regression analyses were conducted to evaluate the relationships between key factors and digital transformation outcomes. The findings indicate that service processing times decreased from 20 to 10 days, transparency scores increased from 25 to 35, industrial productivity improved from 1.5 to 4.5 percent, and internet penetration expanded from 48 to 65 percent. Correlation results demonstrated positive associations between digital transformation and infrastructure (0.78), human capacity (0.72), and governance (0.69), whereas contextual constraints exhibited a negative association (-0.55). Regression analysis identified infrastructure readiness as the strongest contributing factor (β = 0.41), followed by human capacity (β = 0.29) and governance (β = 0.22), while contextual constraints negatively influenced progress (β = -0.18). These findings highlight the importance of strengthening technological infrastructure, developing AI-related skills, and improving regulatory governance to accelerate digital transformation in Iraq. The study recommends expanding broadband connectivity in rural communities, increasing AI training opportunities, strengthening the enforcement of digital regulations, and integrating cyber security measures into national development strategies. Collectively, these measures can support a more resilient, efficient, and inclusive digital transformation process across Iraq's industrial and public service sectors."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.23448442","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-10-18T07:35:54Z","registered":"2026-10-18T07:35:54Z","published":null,"updated":"2026-10-18T07:35:54Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.23448418","type":"dois","attributes":{"doi":"10.5281/zenodo.23448418","identifiers":[{"identifier":"2456-3137","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath \u0026 Paul Johnson Asamoah","name":"Divya Vishwanath \u0026 Paul Johnson Asamoah","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"DIGITAL INFRASTRUCTURE AND INNOVATION PERFORMANCE: ASSESSING OPERATIONAL TRANSFORMATION IN IRAQ (2020-2024)"}],"publisher":"Zenodo","container":{},"publicationYear":2025,"subjects":[],"contributors":[],"dates":[{"date":"2025-12-30","dateType":"Issued"},{"date":"2025-12-30","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","resourceTypeGeneral":"Text","relatedIdentifier":"2456-3137","relatedIdentifierType":"ISSN"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.23448419","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2456 - 3137","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Digital infrastructure plays a pivotal role in strengthening organizational innovation and operational capabilities, although its effectiveness varies in politically and economically volatile environments such as Iraq. This study evaluated the contribution of physical connectivity, digital platforms, and governance mechanisms to operational efficiency, service transformation, decision-making agility, and innovation performance in Iraq during 2020-2024. A descriptive and explanatory research design was employed, drawing on 105 secondary data cases analyzed using correlation and regression techniques. The findings indicate that fiber penetration increased from 18 to 40 percent, data center capacity doubled, cloud adoption among firms rose from 10 to 32 percent, and e-payment usage reached 48 percent of adults. Operational efficiency improved by 23 percent, service redesign was achieved by 33 percent of agencies, decision-making time declined by 22 percent, and innovation outputs reached 24 percent of organizations. Correlation results revealed strong positive associations between innovation-related outcomes and physical connectivity (0.82), digital platforms (0.76), and governance (0.71), whereas instability demonstrated a negative association (-0.58). Regression analysis identified physical connectivity as the strongest predictor (β = 0.44), followed by digital platforms (β = 0.32) and governance (β = 0.24), while instability negatively influenced the observed outcomes (β = -0.20). These findings underscore the importance of expanding accessible digital infrastructure, strengthening platform integration, improving regulatory governance, and mitigating operational disruptions. Accordingly, the study recommends extending broadband access to rural communities, reinforcing cloud governance frameworks, promoting the use of digital dashboards, and integrating resilience planning into national digital development strategies to support sustainable innovation in Iraq."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.23448418","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":1,"versionOfCount":0,"created":"2026-10-18T07:33:26Z","registered":"2026-10-18T07:33:27Z","published":null,"updated":"2026-10-18T07:33:27Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.23448419","type":"dois","attributes":{"doi":"10.5281/zenodo.23448419","identifiers":[{"identifier":"oai:zenodo.org:23448419","identifierType":"oai"},{"identifier":"2456-3137","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath \u0026 Paul Johnson Asamoah","name":"Divya Vishwanath \u0026 Paul Johnson Asamoah","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"DIGITAL INFRASTRUCTURE AND INNOVATION PERFORMANCE: ASSESSING OPERATIONAL TRANSFORMATION IN IRAQ (2020-2024)"}],"publisher":"Zenodo","container":{},"publicationYear":2025,"subjects":[],"contributors":[],"dates":[{"date":"2025-12-30","dateType":"Issued"},{"date":"2025-12-30","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","resourceTypeGeneral":"Text","relatedIdentifier":"2456-3137","relatedIdentifierType":"ISSN"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.23448418","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2456 - 3137","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Digital infrastructure plays a pivotal role in strengthening organizational innovation and operational capabilities, although its effectiveness varies in politically and economically volatile environments such as Iraq. This study evaluated the contribution of physical connectivity, digital platforms, and governance mechanisms to operational efficiency, service transformation, decision-making agility, and innovation performance in Iraq during 2020-2024. A descriptive and explanatory research design was employed, drawing on 105 secondary data cases analyzed using correlation and regression techniques. The findings indicate that fiber penetration increased from 18 to 40 percent, data center capacity doubled, cloud adoption among firms rose from 10 to 32 percent, and e-payment usage reached 48 percent of adults. Operational efficiency improved by 23 percent, service redesign was achieved by 33 percent of agencies, decision-making time declined by 22 percent, and innovation outputs reached 24 percent of organizations. Correlation results revealed strong positive associations between innovation-related outcomes and physical connectivity (0.82), digital platforms (0.76), and governance (0.71), whereas instability demonstrated a negative association (-0.58). Regression analysis identified physical connectivity as the strongest predictor (β = 0.44), followed by digital platforms (β = 0.32) and governance (β = 0.24), while instability negatively influenced the observed outcomes (β = -0.20). These findings underscore the importance of expanding accessible digital infrastructure, strengthening platform integration, improving regulatory governance, and mitigating operational disruptions. Accordingly, the study recommends extending broadband access to rural communities, reinforcing cloud governance frameworks, promoting the use of digital dashboards, and integrating resilience planning into national digital development strategies to support sustainable innovation in Iraq."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.23448419","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-10-18T07:33:26Z","registered":"2026-10-18T07:33:26Z","published":null,"updated":"2026-10-18T07:33:26Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.23448369","type":"dois","attributes":{"doi":"10.5281/zenodo.23448369","identifiers":[{"identifier":"2456-4664","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath \u0026 Paul Johnson Asamoah","name":"Divya Vishwanath \u0026 Paul Johnson Asamoah","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"AI-DRIVEN PROCESS AUTOMATION AND ITS EFFECTS ON OPERATIONAL AGILITY AND EFFICIENCY IN IRAQ (2020-2024)"}],"publisher":"Zenodo","container":{},"publicationYear":2025,"subjects":[],"contributors":[],"dates":[{"date":"2025-12-30","dateType":"Issued"},{"date":"2025-12-30","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","resourceTypeGeneral":"Text","relatedIdentifier":"2456-4664","relatedIdentifierType":"ISSN"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.23448370","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2456 - 4664","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Artificial intelligence (AI)-driven process automation is increasingly reshaping organizational operations by reducing processing time, enhancing responsiveness, and supporting innovation, particularly in economies facing structural and fiscal challenges. This study examines the effects of AI-driven process automation on operational agility and efficiency in Iraq during 2020-2024, focusing on automation technologies, workforce readiness, governance support, and contextual constraints. A descriptive and explanatory research design was adopted, using 105 secondary data cases analyzed through descriptive statistics, correlation, and regression analysis. The findings indicate that robotic automation adoption increased from 12 to 37 percent, intelligent document processing from 8 to 31 percent, and chatbot adoption from 10 to 35 percent. Workforce development also progressed, with training programs increasing from 7 to 25, skilled operators growing from 400 to 1,000, and innovation labs expanding from 2 to 9. These developments coincided with a 22 percent reduction in processing times, an increase in organizational flexibility to 33 percent of firms, a 21 percent improvement in responsiveness, and innovation outputs reaching 23 percent of organizations. Correlation analysis identified positive associations between operational outcomes and automation tools (0.83), human capacity (0.77), and governance support (0.72), while contextual constraints exhibited a negative association (-0.59). Regression results further indicated that automation tools had the strongest reported effect (β = 0.45), followed by human capacity (β = 0.30) and governance support (β = 0.23), whereas contextual constraints negatively affected outcomes (β = -0.21). The study highlights the importance of integrating automation technologies with workforce development and effective digital governance to strengthen operational agility and efficiency. It recommends expanding inclusive automation adoption among small and medium-sized enterprises (SMEs) and rural organizations, strengthening skilled-worker retention mechanisms, improving enforcement of digital governance frameworks, and promoting fiscal stability to support sustainable automation and national competitiveness."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.23448369","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":1,"versionOfCount":0,"created":"2026-10-18T07:30:03Z","registered":"2026-10-18T07:30:03Z","published":null,"updated":"2026-10-18T07:30:03Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.23448370","type":"dois","attributes":{"doi":"10.5281/zenodo.23448370","identifiers":[{"identifier":"oai:zenodo.org:23448370","identifierType":"oai"},{"identifier":"2456-4664","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath \u0026 Paul Johnson Asamoah","name":"Divya Vishwanath \u0026 Paul Johnson Asamoah","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"AI-DRIVEN PROCESS AUTOMATION AND ITS EFFECTS ON OPERATIONAL AGILITY AND EFFICIENCY IN IRAQ (2020-2024)"}],"publisher":"Zenodo","container":{},"publicationYear":2025,"subjects":[],"contributors":[],"dates":[{"date":"2025-12-30","dateType":"Issued"},{"date":"2025-12-30","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","resourceTypeGeneral":"Text","relatedIdentifier":"2456-4664","relatedIdentifierType":"ISSN"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.23448369","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2456 - 4664","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Artificial intelligence (AI)-driven process automation is increasingly reshaping organizational operations by reducing processing time, enhancing responsiveness, and supporting innovation, particularly in economies facing structural and fiscal challenges. This study examines the effects of AI-driven process automation on operational agility and efficiency in Iraq during 2020-2024, focusing on automation technologies, workforce readiness, governance support, and contextual constraints. A descriptive and explanatory research design was adopted, using 105 secondary data cases analyzed through descriptive statistics, correlation, and regression analysis. The findings indicate that robotic automation adoption increased from 12 to 37 percent, intelligent document processing from 8 to 31 percent, and chatbot adoption from 10 to 35 percent. Workforce development also progressed, with training programs increasing from 7 to 25, skilled operators growing from 400 to 1,000, and innovation labs expanding from 2 to 9. These developments coincided with a 22 percent reduction in processing times, an increase in organizational flexibility to 33 percent of firms, a 21 percent improvement in responsiveness, and innovation outputs reaching 23 percent of organizations. Correlation analysis identified positive associations between operational outcomes and automation tools (0.83), human capacity (0.77), and governance support (0.72), while contextual constraints exhibited a negative association (-0.59). Regression results further indicated that automation tools had the strongest reported effect (β = 0.45), followed by human capacity (β = 0.30) and governance support (β = 0.23), whereas contextual constraints negatively affected outcomes (β = -0.21). The study highlights the importance of integrating automation technologies with workforce development and effective digital governance to strengthen operational agility and efficiency. It recommends expanding inclusive automation adoption among small and medium-sized enterprises (SMEs) and rural organizations, strengthening skilled-worker retention mechanisms, improving enforcement of digital governance frameworks, and promoting fiscal stability to support sustainable automation and national competitiveness."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.23448370","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-10-18T07:30:03Z","registered":"2026-10-18T07:30:03Z","published":null,"updated":"2026-10-18T07:30:03Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.23448345","type":"dois","attributes":{"doi":"10.5281/zenodo.23448345","identifiers":[{"identifier":"oai:zenodo.org:23448345","identifierType":"oai"},{"identifier":"2456-3080","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath \u0026 Paul Johnson Asamoah","name":"Divya Vishwanath \u0026 Paul Johnson Asamoah","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"ARTIFICIAL INTELLIGENCE AND OPERATIONAL PERFORMANCE: THE ROLES OF DIGITAL INFRASTRUCTURE, SKILLS, AND STRATEGY IN IRAQ"}],"publisher":"Zenodo","container":{},"publicationYear":2025,"subjects":[],"contributors":[],"dates":[{"date":"2025-12-30","dateType":"Issued"},{"date":"2025-12-30","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","resourceTypeGeneral":"Text","relatedIdentifier":"2456-3080","relatedIdentifierType":"ISSN"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.23448344","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2456 - 3080","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Artificial intelligence (AI) is increasingly transforming organizational processes, although its implementation and benefits remain uneven in fragile and resource-constrained economies. This study examines the influence of AI-enabled processes on organizational efficiency, workflow redesign, decision-making speed, and innovation outcomes in Iraq during the period 2020-2024. Employing a descriptive and explanatory research design, the analysis draws on 105 secondary-data cases and applies correlation and regression techniques to assess operational outcomes and their associated determinants. The findings indicate that the adoption of automation technologies increased from 18% to 45% of firms, while the use of analytics engines rose from 10% to 37% and workflow platforms expanded from 12% to 41%. These developments were accompanied by a 22% reduction in task completion time, a workflow redesign rate of 35%, a 21% improvement in decision-making speed, and innovation outputs reaching 22% of firms. Correlation analysis identified positive associations between organizational outcomes and infrastructure (0.81), skills capacity (0.75), and strategic support (0.70). In contrast, contextual instability demonstrated a negative association (-0.57). Regression results further identified infrastructure as the strongest predictor (β = 0.43), followed by skills capacity (β = 0.31) and strategic support (β = 0.25), whereas instability exerted a negative effect (β = -0.19). These findings underscore the importance of technological readiness, workforce competencies, and strategic alignment in translating AI adoption into measurable operational and innovation benefits. The study recommends extending AI adoption among small and medium-sized enterprises (SMEs), strengthening rural broadband infrastructure, improving digital governance, expanding workforce training, and incorporating resilience planning into digital transformation strategies. Overall, the study highlights the need for coordinated investment in technological infrastructure, human capital, and institutional capacity to support sustainable organizational innovation and long-term competitiveness in Iraq."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.23448345","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-10-18T07:27:12Z","registered":"2026-10-18T07:27:13Z","published":null,"updated":"2026-10-18T07:27:13Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.23448344","type":"dois","attributes":{"doi":"10.5281/zenodo.23448344","identifiers":[{"identifier":"2456-3080","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath \u0026 Paul Johnson Asamoah","name":"Divya Vishwanath \u0026 Paul Johnson Asamoah","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"ARTIFICIAL INTELLIGENCE AND OPERATIONAL PERFORMANCE: THE ROLES OF DIGITAL INFRASTRUCTURE, SKILLS, AND STRATEGY IN IRAQ"}],"publisher":"Zenodo","container":{},"publicationYear":2025,"subjects":[],"contributors":[],"dates":[{"date":"2025-12-30","dateType":"Issued"},{"date":"2025-12-30","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","resourceTypeGeneral":"Text","relatedIdentifier":"2456-3080","relatedIdentifierType":"ISSN"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.23448345","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2456 - 3080","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Artificial intelligence (AI) is increasingly transforming organizational processes, although its implementation and benefits remain uneven in fragile and resource-constrained economies. This study examines the influence of AI-enabled processes on organizational efficiency, workflow redesign, decision-making speed, and innovation outcomes in Iraq during the period 2020-2024. Employing a descriptive and explanatory research design, the analysis draws on 105 secondary-data cases and applies correlation and regression techniques to assess operational outcomes and their associated determinants. The findings indicate that the adoption of automation technologies increased from 18% to 45% of firms, while the use of analytics engines rose from 10% to 37% and workflow platforms expanded from 12% to 41%. These developments were accompanied by a 22% reduction in task completion time, a workflow redesign rate of 35%, a 21% improvement in decision-making speed, and innovation outputs reaching 22% of firms. Correlation analysis identified positive associations between organizational outcomes and infrastructure (0.81), skills capacity (0.75), and strategic support (0.70). In contrast, contextual instability demonstrated a negative association (-0.57). Regression results further identified infrastructure as the strongest predictor (β = 0.43), followed by skills capacity (β = 0.31) and strategic support (β = 0.25), whereas instability exerted a negative effect (β = -0.19). These findings underscore the importance of technological readiness, workforce competencies, and strategic alignment in translating AI adoption into measurable operational and innovation benefits. The study recommends extending AI adoption among small and medium-sized enterprises (SMEs), strengthening rural broadband infrastructure, improving digital governance, expanding workforce training, and incorporating resilience planning into digital transformation strategies. Overall, the study highlights the need for coordinated investment in technological infrastructure, human capital, and institutional capacity to support sustainable organizational innovation and long-term competitiveness in Iraq."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.23448344","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":1,"versionOfCount":0,"created":"2026-10-18T07:27:13Z","registered":"2026-10-18T07:27:13Z","published":null,"updated":"2026-10-18T07:27:13Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.19842744","type":"dois","attributes":{"doi":"10.5281/zenodo.19842744","identifiers":[],"creators":[{"nameType":"Personal","familyName":"Bathe Divya Vishwanath","name":"Bathe Divya Vishwanath","nameIdentifiers":[],"affiliation":[]},{"nameType":"Personal","familyName":"Prof. Asif Naikwadi","name":"Prof. Asif Naikwadi","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"To Study The Impact Of Remote Work And Hybrid Work Models On Employee Work Life Balance At Post Pandemic Across Pune Region."}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[],"contributors":[],"dates":[{"date":"2026-01-01","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"JournalArticle","citeproc":"article-journal","bibtex":"article","ris":"JOUR","resourceType":""},"relatedIdentifiers":[{"relationType":"IsIdenticalTo","resourceTypeGeneral":"JournalArticle","relatedIdentifier":"https://ijnrefm.com/to-study-the-impact-of-remote-work-and-hybrid-work-models-on-employee-work-life-balance-at-post-pandemic-across-pune-region/","relatedIdentifierType":"URL"},{"relationType":"HasPart","resourceTypeGeneral":"JournalArticle","relatedIdentifier":"https://ijnrefm.com/wp-content/uploads/Ijnrefm-volume3-issue6-241.pdf","relatedIdentifierType":"URL"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.19842745","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"The COVID-19 epidemic accelerated the adoption of remote and hybrid work paradigms by upending traditional work structures. This study looks at how these work arrangements affect the work-life balance of employees in the Pune area. Data is gathered from workers in the business, IT, and services industries using a descriptive study design. The study investigates the effects of remote and hybrid work on flexibility, productivity, stress levels, and personal well-being. Results show that while working remotely increases flexibility and lessens the stress of commuting, hybrid models provide a balanced approach by fusing social engagement with flexibility. The study comes to the conclusion that, in the post-pandemic era, hybrid work is more viable for preserving work-life balance."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.19842744","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":2,"versionOfCount":1,"created":"2026-04-28T06:18:51Z","registered":"2026-04-28T06:18:51Z","published":null,"updated":"2026-08-25T02:16:37Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.19842745","type":"dois","attributes":{"doi":"10.5281/zenodo.19842745","identifiers":[{"identifier":"oai:zenodo.org:19842745","identifierType":"oai"}],"creators":[{"nameType":"Personal","familyName":"Bathe Divya Vishwanath","name":"Bathe Divya Vishwanath","nameIdentifiers":[],"affiliation":[]},{"nameType":"Personal","familyName":"Prof. Asif Naikwadi","name":"Prof. Asif Naikwadi","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"To Study The Impact Of Remote Work And Hybrid Work Models On Employee Work Life Balance At Post Pandemic Across Pune Region."}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[],"contributors":[],"dates":[{"date":"2026-01-01","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"JournalArticle","citeproc":"article-journal","bibtex":"article","ris":"JOUR","resourceType":""},"relatedIdentifiers":[{"relationType":"IsIdenticalTo","resourceTypeGeneral":"JournalArticle","relatedIdentifier":"https://ijnrefm.com/to-study-the-impact-of-remote-work-and-hybrid-work-models-on-employee-work-life-balance-at-post-pandemic-across-pune-region/","relatedIdentifierType":"URL"},{"relationType":"HasPart","resourceTypeGeneral":"JournalArticle","relatedIdentifier":"https://ijnrefm.com/wp-content/uploads/Ijnrefm-volume3-issue6-241.pdf","relatedIdentifierType":"URL"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.19842744","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"The COVID-19 epidemic accelerated the adoption of remote and hybrid work paradigms by upending traditional work structures. This study looks at how these work arrangements affect the work-life balance of employees in the Pune area. Data is gathered from workers in the business, IT, and services industries using a descriptive study design. The study investigates the effects of remote and hybrid work on flexibility, productivity, stress levels, and personal well-being. Results show that while working remotely increases flexibility and lessens the stress of commuting, hybrid models provide a balanced approach by fusing social engagement with flexibility. The study comes to the conclusion that, in the post-pandemic era, hybrid work is more viable for preserving work-life balance."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.19842745","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-04-28T06:18:51Z","registered":"2026-04-28T06:18:51Z","published":null,"updated":"2026-08-25T02:16:36Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.11190107","type":"dois","attributes":{"doi":"10.5281/zenodo.11190107","identifiers":[{"identifier":"oai:zenodo.org:11190107","identifierType":"oai"},{"identifier":"2456-3080","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath","name":"Divya Vishwanath","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"BLOCKCHAIN-BASED ELECTRONIC VOTING SYSTEM INCORPORATING CRYPTOGRAPHIC METHODS"}],"publisher":"Zenodo","container":{},"publicationYear":2024,"subjects":[],"contributors":[],"dates":[{"date":"2024-05-14","dateType":"Issued"},{"date":"2024-05-14","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","relatedIdentifier":"2456-3080","relatedIdentifierType":"ISSN"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.11190106","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2456 - 3080","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"In a modern democracy, elections may be a significant occasion, but a significant worry for the democracy is that large segments of the global populace lack confidence in their electoral process. Even the biggest democracies in the world, such as the United States, Japan, and the Republic of India, nonetheless have flawed legal systems. Voter tampering, electronic vote machine hacking, election tampering, and booth capturing are the main issues with the existing electoral system. We seek to address the concerns with election vote systems in this system by working on them and putting up the E-voting model as a potential solution. The system can showcase several well-known blockchain frameworks that offer blockchain as a service and a related electronic E-voting system that is based on blockchain and addresses all restrictions in multiple ways. It also maintains participant anonymity while allowing for open scrutiny. It has long been a difficulty to develop an electronic voting system for associate in nursing that complies with legislators' regulatory requirements. Within the field of information technology, distributed ledger technologies provide an interesting technological leap for associate in nursing. Blockchain technology offers a limitless range of possibilities for profiting from sharing economies. Blockchain promises to increase the robustness of electronic voting systems, making it a potentially disruptive technology of the modern era. This method offers a chance to take advantage of blockchain's advantages, such as its transparency and cryptological underpinnings, to achieve an effective theme for electronic voting. The proposed topic achieves end-to-end verifiability and complies with the fundamental requirements for electronic voting methods. The system offers a thorough examination of the theme, successfully demonstrating its efficacy in achieving associate in nursing end-to-end verifiable e-voting."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.11190107","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2024-05-14T08:30:39Z","registered":"2024-05-14T08:30:39Z","published":null,"updated":"2024-05-15T12:36:33Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.11190106","type":"dois","attributes":{"doi":"10.5281/zenodo.11190106","identifiers":[{"identifier":"2456-3080","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath","name":"Divya Vishwanath","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"BLOCKCHAIN-BASED ELECTRONIC VOTING SYSTEM INCORPORATING CRYPTOGRAPHIC METHODS"}],"publisher":"Zenodo","container":{},"publicationYear":2024,"subjects":[],"contributors":[],"dates":[{"date":"2024-05-14","dateType":"Issued"},{"date":"2024-05-14","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","relatedIdentifier":"2456-3080","relatedIdentifierType":"ISSN"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.11190107","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2456 - 3080","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"In a modern democracy, elections may be a significant occasion, but a significant worry for the democracy is that large segments of the global populace lack confidence in their electoral process. Even the biggest democracies in the world, such as the United States, Japan, and the Republic of India, nonetheless have flawed legal systems. Voter tampering, electronic vote machine hacking, election tampering, and booth capturing are the main issues with the existing electoral system. We seek to address the concerns with election vote systems in this system by working on them and putting up the E-voting model as a potential solution. The system can showcase several well-known blockchain frameworks that offer blockchain as a service and a related electronic E-voting system that is based on blockchain and addresses all restrictions in multiple ways. It also maintains participant anonymity while allowing for open scrutiny. It has long been a difficulty to develop an electronic voting system for associate in nursing that complies with legislators' regulatory requirements. Within the field of information technology, distributed ledger technologies provide an interesting technological leap for associate in nursing. Blockchain technology offers a limitless range of possibilities for profiting from sharing economies. Blockchain promises to increase the robustness of electronic voting systems, making it a potentially disruptive technology of the modern era. This method offers a chance to take advantage of blockchain's advantages, such as its transparency and cryptological underpinnings, to achieve an effective theme for electronic voting. The proposed topic achieves end-to-end verifiability and complies with the fundamental requirements for electronic voting methods. The system offers a thorough examination of the theme, successfully demonstrating its efficacy in achieving associate in nursing end-to-end verifiable e-voting."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.11190106","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":1,"versionOfCount":0,"created":"2024-05-14T08:30:39Z","registered":"2024-05-14T08:30:39Z","published":null,"updated":"2024-05-15T12:36:33Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.11080498","type":"dois","attributes":{"doi":"10.5281/zenodo.11080498","identifiers":[{"identifier":"oai:zenodo.org:11080498","identifierType":"oai"},{"identifier":"2581-6292","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath","name":"Divya Vishwanath","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"FACIAL RECOGNITION ENABLED ONLINE VOTING SYSTEM"}],"publisher":"Zenodo","container":{},"publicationYear":2024,"subjects":[],"contributors":[],"dates":[{"date":"2024-04-28","dateType":"Issued"},{"date":"2024-04-28","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","relatedIdentifier":"2581-6292","relatedIdentifierType":"ISSN"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.11080497","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2581 - 6292","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"In the global landscape of democracy, the importance of a fair and efficient voting system cannot be overstated. Presently, reliance on in-person voting poses challenges in operational efficiency, resource management, and timely result announcements. This paper endeavors to modernize the voting experience by introducing an accessible online voting system, circumventing the limitations of physical presence. Users can cast their votes remotely via computers, streamlining the process and catering to a diverse population. To bolster security, a robust authentication process is employed, integrating facial recognition and secure hash comparison. These measures authenticate voters, mitigate identity fraud, and ensure the integrity of the voting system. In addition to fortifying security measures, the online voting system offers convenience and accessibility, particularly for individuals facing barriers to physical voting locations. By enabling remote voting, the system promotes inclusivity and broadens participation in the democratic process. Furthermore, the integration of facial recognition technology enhances user experience and instils confidence in the authenticity of the voting process. Overall, this initiative represents a pivotal step towards a more modern, secure, and inclusive elector."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.11080498","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2024-04-28T15:18:39Z","registered":"2024-04-28T15:18:39Z","published":null,"updated":"2024-05-02T15:17:14Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.11080497","type":"dois","attributes":{"doi":"10.5281/zenodo.11080497","identifiers":[{"identifier":"2581-6292","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Divya Vishwanath","name":"Divya Vishwanath","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"FACIAL RECOGNITION ENABLED ONLINE VOTING SYSTEM"}],"publisher":"Zenodo","container":{},"publicationYear":2024,"subjects":[],"contributors":[],"dates":[{"date":"2024-04-28","dateType":"Issued"},{"date":"2024-04-28","dateType":"Accepted"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsPublishedIn","relatedIdentifier":"2581-6292","relatedIdentifierType":"ISSN"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.11080498","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","resourceTypeGeneral":"Collection","relatedIdentifier":"2581 - 6292","relatedIdentifierType":"ISSN"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"In the global landscape of democracy, the importance of a fair and efficient voting system cannot be overstated. Presently, reliance on in-person voting poses challenges in operational efficiency, resource management, and timely result announcements. This paper endeavors to modernize the voting experience by introducing an accessible online voting system, circumventing the limitations of physical presence. Users can cast their votes remotely via computers, streamlining the process and catering to a diverse population. To bolster security, a robust authentication process is employed, integrating facial recognition and secure hash comparison. These measures authenticate voters, mitigate identity fraud, and ensure the integrity of the voting system. In addition to fortifying security measures, the online voting system offers convenience and accessibility, particularly for individuals facing barriers to physical voting locations. By enabling remote voting, the system promotes inclusivity and broadens participation in the democratic process. Furthermore, the integration of facial recognition technology enhances user experience and instils confidence in the authenticity of the voting process. Overall, this initiative represents a pivotal step towards a more modern, secure, and inclusive elector."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.11080497","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":1,"versionOfCount":0,"created":"2024-04-28T15:18:39Z","registered":"2024-04-28T15:18:39Z","published":null,"updated":"2024-05-02T15:17:14Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}}],"meta":{"total":24,"totalPages":1,"page":1},"links":{"self":"https://api.datacite.org/dois?page%5Bsize%5D=50\u0026query=%22Divya+Vishwanath%22"}}