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Майснер Дирк

Институт статистических исследований и экономики знаний

Профиль на hse.ru ↗ тел.: +7 495 772 9590 | 11701
Публикаций
144
Языков
3
Наград
18
Конференций
63
Профиль Публикации (144) Курсы (15)

Профессиональные интересы

инновациигосударственно-частные партнерства в инновационной сфереНаучно-техническая и инновационная политикаглобальные вызовыуправление инновациямикоммерциализация инновацийуправление интеллектуальной собственностьюфорсайт-исследованиянациональные инновационные системы

Должности

  • Профессор — Институт статистических исследований и экономики знаний, Департамент образовательных программ
  • Заведующий лабораторией — Институт статистических исследований и экономики знаний, Лаборатория экономики инноваций
  • Академический руководитель образовательной программы — Управление в сфере науки, технологий и инноваций

Био

  • · Начал работать в НИУ ВШЭ в 2011 году.
  • · Научно-педагогический стаж: 15 лет.

Образование

  • 2001 · PhD: Технический университет Дрездена, тема диссертации: Трансфер знаний и технологий в национальных инновационных системах
  • 1996 · Специалитет: Технический университет Дрездена, специальность «Экономика и организация производства»
  • 1993 · Бакалавриат: Университет Вулверхэмптона, специальность «Языки, бизнес и информационные технологии», квалификация «Бакалавр гуманитарных наук»

Опыт работы

  • · 2017 г.: С : Национальный исследовательский университет «Высшая школа экономики». Заместитель заведующего лабораторией экономики инноваций Института статистических исследований и экономики знаний
  • · 2011 г.: С : Национальный исследовательский университет «Высшая школа экономики». Заместитель заведующего лабораторией исследований науки и технологий Института статистических исследований и экономики знаний
  • · 2014 г.: C : Национальный исследовательский университет «Высшая школа экономики». Профессор Департамента образовательных программ Института статистических исследований и экономики знаний
  • · 2014 г.: С : Национальный исследовательский университет «Высшая школа экономики». Академический руководитель образовательной программы: Управление в сфере науки, технологий и инноваций
  • · 2009 г.: С : Организация экономического развития и сотрудничества (ОЭСР). Независимый консультант по вопросам научно-технической и инновационной политики
  • · 2009-2010: гг.: компания “Т.А. Кук Консалтантс” (T.A. Cook Consultants). Руководитель отдела промышленных исследований
  • · Основные проекты:
  • · 2006-2009: гг.: Швейцарский совет по науке и технологиям (SSTC). Представитель Совета на заседаниях различных рабочих групп (в особенности, рабочих групп ОЭСР); руководитель рабочей группы по инновациям и научно-технической политике; руководитель проектов
  • · Основные проекты:
  • · 2000-2003: гг.: Компания “Артур Д. Литтл Интренэшнл Инк.” (Arthur D. Little International, Inc.). Консультант по управлению инновационной деятельностью и научно-техническим развитием
  • · Основные проекты:

Награды и поощрения

  • · Благодарность проректора НИУ ВШЭ (ноябрь 2025)
  • · Благодарность проректора НИУ ВШЭ (ноябрь 2024)
  • · Благодарность проректора НИУ ВШЭ (ноябрь 2023)
  • · Медаль "Признание - 10 лет успешной работы" НИУ ВШЭ (май 2022)
  • · Благодарственное письмо проректора НИУ ВШЭ (март 2022)
  • · Благодарственное письмо проректора НИУ ВШЭ (ноябрь 2021)
  • · Благодарственное письмо проректора НИУ ВШЭ (ноябрь 2021)
  • · Почетная грамота Высшей школы экономики (сентябрь 2021)
  • · Почетная грамота Высшей школы экономики (сентябрь 2021)
  • · Благодарность проректора НИУ ВШЭ (июнь 2020)
  • · Благодарность Высшей школы экономики (ноябрь 2016)
  • · Надбавка за академические успехи и вклад в научную репутацию НИУ ВШЭ (2021–2022)
  • · Надбавка за публикацию в журнале из Списка А (и приравненном к нему научном издании) (2025–2026, 2024–2025, 2023–2024)
  • · Надбавка за публикацию в международном рецензируемом научном издании (2022–2023, 2020–2021, 2019–2021, 2018–2020, 2017–2019)
  • · Надбавка за статью в зарубежном рецензируемом журнале (2015–2017)
  • · Лучший академический руководитель в номинации «Межфакультетское взаимодействие» — 2025
  • · Лучший академический руководитель в номинации «Методическое качество программы» — 2025
  • · Лучший академический руководитель в номинации «Прием иностранных студентов» — 2023–2024

Гранты и проекты

  • — · Заиченко С.А., «Раскрытие деятельности научно-технологических организаций», ученая степень PhD, 2017, Берлинский технический университет, Германия (соруководитель)
  • — · Рудь В.А., «Таксономии как инструмент исследования гетерогенности инновационного поведения фирм», ученая степень PhD, 2018, Берлинский технический университет, Германия (соруководитель)

Конференции (63)

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  • · Семинар “Innovation intermediaries and emerging digital technologies: policy and practice”, Центр исследований в области управления инновациями Университета Биркбека (Birbeck University Centre for Innovation Management Research), Лондон, Великобритания (онлайн), 07 июля 2020. Тема выступления: "The role of innovation intermediaries in the digital transformation"
  • · Семинар “Science, Technology and Innovation in times of Covid-19”, ОЭСР, Рабочая группа по технологической и инновационной политике (OECD TIP), Париж, Франция, 17 июня и 24 июня 2020. Тема выступления: "STI Policy post COVID-19"
  • · International Conference on the Contemporary Issues in Finance, Trade and Macroeconomy (ICOFINT’20), Стамбул, Турция (онлайн), 4-5 апреля 2020. Тема выступления: "Innovation Culture"
  • · Заседание Комитета ОЭСР по научно-технической политике (OECD Committee Science and Technology Policy), Париж, Франция (онлайн), 18-19 апреля 2020. Тема выступления: "Conceptual Framework on Co-Creation"
  • · R&D Management Conference, 17-21 июня 2019, г. Париж, Франция. Презентация: "Company innovation management in emerging countries: Multiple challenges for corporate governance"
  • · High Tech Small Firms Conference, 26-28 мая 2019, г. Энсхеде, Нидерланды. Презентация: "Innovation Culture"
  • · Международный семинар "Technology Upgrading and Economic Catch-Up: Challenges for Emerging Economies", 16 апреля 2019, Университет Цинхуа, г. Пекин, КНР. Презентация: "Energy technology Foresight 2030 in Russia: an outlook for safer and more efficient energy future"
  • · Семинар “Technology Upgrading and Economic Catch-Up: Challenges for Emerging Economies”, 13 апреля 2019, г. Пекин, КНР. Презентация: "Energy technology Foresight 2030 in Russia: An outlook for safer and more efficient energy future"
  • · XX Апрельская Международная научная конференция по проблемам развития экономики и общества, 9-12 апрель 2019, г. Москва, Россия. Презентация: "Open Innovations in Global Value Chains"
  • · Семинар “Big data for policymaking and new generation of STI measurement”, Научно-исследовательский центр "Joanneum Research", 6-7 марта 2019, г. Вена, Австрия. Презентация: "Educational cooperation and supervision of PhD students"
  • · Международный семинар "International Cooperation in Education", 11 февраля 2019, Утрехтский университет, Нидерланды. Презентация: "International Cooperation in Education"
  • · Productivity, Innovation and Sustainable Economic Growth with Changing Technological Paradigm - 2018 Asian Pacific Productivity Conference, 4-6 июля 2018, г. Сеул, Республика Корея. Презентация: "Knowledge, Innovation and Economy"
  • · 17 Joseph A. Schumpeter Conference, 2-4 июля 2018, г. Сеул, Республика Корея. Презентация: "Research Ethics"
  • · Международная конференция “Innovation Ecosystems, Upgrading, and Regional Development”, 6-7 июня 2018, г. Кампинас, Бразилия. Презентация: "Upgrading regional innovation systems"
  • · XIX Апрельская международная научная конференция по проблемам развития экономики и общества, 10-13 апреля 2018, г. Москва, Россия. Презентация: "Future oriented STI policy analysis"
  • · Семинар “Semantic analysis for innovation policy”, ОЭСР, 12-13 марта 2018, г. Париж, Франция. Презентация: "TIP@50 analysis methodology based on HSE Intelligent Foresight Analytics (iFORA) system"
  • · Семинар “Semantic analysis for innovation policy”, ОЭСР, 12-13 марта 2018, г. Париж, Франция. Презентация: "Semantic analysis for innovation policy based on HSE Intelligent Foresight Analytics (iFORA) system"
  • · Тематический семинар и 50 встреча Рабочей группы по научно-технической и инновационной политике (TIP), 11-13 декабря2017, ОЭСР, г. Париж, Франция. Презентация: “Trends in Technology and Innovation Policies”.
  • · Семинары “Innovation and Sustainability” и“Joint educational programs”, 23-25 ноября 2017, Берлинский технический университет, Дрезденский технологический университет , г. Берлин, г. Дрезден, Германия. Презентация: “'Innovation Culture in Companies”.
  • · 111 сессия Комитета по научно-технической политике (CSTP) ОЭСР, семинар "Funding Public Research to Serve Society and the Economy - What Bydgetary Balances and Instruments?" 23-25 октября 2017, г. Париж, Франция.
  • · The 15th International Globelics Conference, 11-13 октября 2017, Афинский национальный технический университет (NTUA), г. Афины, Греция. Презентация: “Entrepreneurial University “.
  • · Семинар "Digital and open innovation", 21-22 сентября 2017, ОЭСР, г. Лондон, Великобритания. Презентация: “Impact Assessment of Knowledge Triangle Policies”.
  • · Семинары “Innovation Management” и “Research and Technology Portfolios”, 08-09 сентября 2017, Берлинский технический университет, Дрезденский технологический университет , г. Берлин, г. Дрезден, Германия. Презентация: “The meaning of Public Research in National Innovation Systems”.
  • · Международный семинар “Ex-ante Evaluation, Prioritization, and STI Planning”; круглый стол “Governance of System Innovation”; международный семинар “Entrepreneurship and the Geography of Innovation”, 04-07 июля 2017, Университет Кампинаса (UNICAMP), г. Кампинас, Бразилия. Презентация: “Regional STI policies”.
  • · Тематический семинар Рабочей группы по научно-технической и инновационной политике (TIP); 49 встреча TIP, 14-16 июня 2017, ОЭСР, г. Париж, Франция. Презентация: “Universities in the Knowledge Triangle”. XVIII Апрельская международная научная конференция по проблемам развития экономики и общества, 11-14 апреля, 2017, г. Москва, Россия. Презентация: "Smart roadmapping for STI Policy"
  • · Семинар "International Co-operation in Science, technology and Innovation (STI) to Advance Knowledge and Address Grand Challenges"; 110 сессия Комитета по научно-технической политике (CSTP), 22-24 марта 2017, ОЭСР, г. Париж, Франция.
  • · Семинар “Venture Campus”, 9 февраля 2017, Берлинский технический универсиет, г. Берлин, Германия. Презентация: “Entrepreneurial universities”.
  • · Семинар “Innovation, Technology, Knowledge and Management: worldwide emerging perspectives”, 22-23 января 2017, Универсиет “Link Campus”, Неаполь, Италия.
  • · 2015: Встреча Рабочей группы по научно-технической и инновационной политике (TIP) и Комитета по научно-технической политике (CSTP) ОЭСР "STI Outlook",17 декабря 2015 г., ОЭСР, г. Париж, Франция.
  • · 2015: Встреча Рабочей группы по научно-технической и инновационной политике (TIP) ОЭСР, 14-16 декабря 2015 г., ОЭСР, г. Париж, Франция.
  • · 2015: Исследовательский семинар "Глобальные тренды и факторы неопределённости в энергетике", 11 декабря 2015 г., НИУ ВШЭ, г. Москва, Россия. Тема выступления: "Формирование «экомышления» для достижения целей устойчивого развития".
  • · 2015: Совместный семинар ОЭСР и Европейской Комиссии "Smart Regulation and Innovative Governance for New Sustainable Solutions", 10 ноября 2015 г., ОЭСР и Европейская Комиссия, г. Брюссель, Бельгия.
  • · 2015: Встреча Рабочей группы по научно-технической и инновационной политике (TIP) ОЭСР “Knowledge Triangle: Meeting of the Case Study Leaders”, 15 октября 2015 г., ОЭСР, г. Париж, Франция. Тема выступления: "HEI in the KT - the case of National Research University Higher School of Economics".
  • · 2015: XVI Апрельская Международная научная конференция по проблемам развития экономики и общества, 7-10 апреля 2015 г., НИУ ВШЭ, г. Москва, Россия. Тема выступления: "Multinational Infrastructure of Research, Education and Innovation – The Case of Joint International Laboratories".
  • · 2015: Встреча по Программе научно-технологического развития АТЭС (ART), 9-13 марта 2015 г., АТЭС, г. Сеул, Республика Корея. Тема выступления: "Technology Platforms in Russia".
  • · 2015: Семинар "Revised Innovation Strategy", 5-6 февраля 2015 г., ОЭСР, г. Париж, Франция.
  • · 2014: Пленарное заседание Рабочей группы по научно-технической и инновационной политике ОЭСР, 15-17 декабря 2014 г., ОЭСР, г. Париж, Франция. Тема выступления: "Commercialization of Public Research".
  • · 2014: Семинар "Systems Innovation", 17 ноября 2014 г., ОЭСР, г. Грац, Австрия. Тема выступления: "Technology Platform and Open Innovation".
  • · 2014: Конференция "The Triple Helix and Innovation-based Economic Growth: New Frontiers and Solutions", 11-13 сентября 2014 г., г. Томск, Россия. Тема выступления: "Foresight, Smart Specialization and Open Innovation".
  • · 2014: Swiss Science and Innovation Council workshop on Foresight and STI strategy, 19 августа 2014 г., Швейцарский совет по науке и инновациям, г. Берн, Швейцария. Тема выступления: "Foresight based STI strategy".
  • · 2014: OECD Working Party on Technology and Innovation Policy Workshop on Public Private Partnerships and Plenary Meeting of the Working Party on Technology and Innovation Policy, 18-20 июня 2014 г., ОЭСР, г. Париж, Франция. Тема выступления: "The Role of Public-Private Partnership in National Innovation Systems".
  • · 2014: OECD Working Party on Technology and Innovation Policy Workshop on Science, Technology and Innovation Strategy Formulation, 30 апреля 2014 г., ОЭСР, г. Берлин, Германия. Тема выступления: "Theory and Practice of STI Strategy Development".
  • · 2014: OECD Working Party on Technology and Innovation Policy Workshop on System Innovation, 28-29 апреля 2014 г., ОЭСР, г. Берлин, Германия. Тема выступления: "Cluster development in Russia".
  • · 2014: XV Апрельская Международная научная конференция по проблемам развития экономики и общества, 1-4 апреля 2014 г., НИУ ВШЭ, г. Москва, Россия. Тема выступления: "Developing and Implementing Strategies in Science, Technology and Innovation Strategies".
  • · 2014: APEC Research and Technology Program Meeting, 3-7 марта 2014 г., АТЭС, г. Гуанчжоу, Китай. Тема выступления: "Technology Platform Design".
  • · 2013: Workshop of Swiss Science and Technology Council, 19 декабря 2013 г., Берн, Швейцария. тема выступления: "STI Policy - Recent Challenges".
  • · 2013: Plenary Meeting of the OECD Working Party on Innovation and Technology Policy and Workshop on Open Science and Open Data, 11-13 декабря 2013 г., ОЭСР, г. Париж, Франция.
  • · 2013: Конференция "The Role of Ph.D. Education in the Knowledge Society: Dutch and Russian Approaches for the 21st Century", 2-3 декабря 2013 г., Маастрихт, Нидерланды.
  • · 2013: TEKES Seminar "System Innovation and Transitions – Do We Need New Policies and Strategies?", 28-29 ноября 2013 г., Государственный центр технологического развития ТЕКЕС, г. Хельсинки, Финляндия. Тема выступления: "Clusters as systems – the Russian policy approach".
  • · 2013: 2013 International Forum on Service Sector Advancement - Services as a New Engine of Growth: though Creativity and Innovation, 7 ноября 2013 г., Сеул, Республика Корея. Тема выступления: "R&D Strategies for Business and Copyright Policies".
  • · 2013: Международная научная конференция "Форсайт и научно-техническая и инновационная политика", 30-31 октября 2013 г., НИУ ВШЭ, г. Москва, Россия. Тема выступления: "The Role of Stakeholder Analysis for Technology Breakthrough – The Case of Fuel Cell Vehicles".
  • · 2013: 2nd Meeting of the OECD Technology and Innovation Policy Steering Group on Systems Innovation, 13 сентября 2013 г., ОЭСР, г. Стокгольм, Швеция. Тема выступления: "Cluster Policies".
  • · 2013: OECD Working Party on Innovation and Technology Policy Workshop on Systems Innovation and Workshop on Public-private Partnerships, 20-21 июня 2013 г., ОЭСР, г. Париж, Франция. Тема выступления: "Systems Innovation".
  • · 2013: Plenary Meeting of the OECD Working Party on Innovation and Technology Policy and assocoated workshops, 17-19 июня 2013 г., ОЭСР, г. Париж, Франция. Тема выступления: "Systems Innovation".
  • · 2013: Конференция "Creating Markets from Research Results", 6-7 мая 2013 г., Мюнхен, Германия Тема выступления: "Raising Awareness and Understanding of IP in the University Environment".
  • · 2013: 1st Workshop of the OECD Technology and Innovation Policy Steering Group on Systems Innovation and Meeting of the OECD Steering Group on Public-Private Partnerships, 28-29 марта 2013 г., ОЭСР, г. Париж, Франция. Тема выступления: "Public-private Partnerships for STI".
  • · 2013: APEC R&D Management Training, 13 января 2013 г., АТЭС, г. Джакарта, Индонезия. Тема выступления: "STI Strategy: Theory and Practices".
  • · 2012: Международная научная конференция НИУ ВШЭ - ОЭСР "Форсайт: инновационные ответы на глобальные вызовы", 18-19 октября 2012 г., НИУ ВШЭ, г. Москва, Россия. Тема выступления: "Foresight for Innovation Policy".
  • · 2011: International Research Conference on Foresight and Futures: "Theory Building in Foresight and Futures Studies", 24-26 августа 2011 г., Стамбул, Турция. Тема выступления: "Monitoring and Measuring Foresight Studies".
  • · 2012: Towards Transformative Governance? Responses to Mission-oriented Innovation Policy Paradigms, 12-13 июня 2012 г., Карлсруэ, Германия. Тема выступления: "Public-private Partnership Research Cooperation".
  • · 2012: XIII Апрельская международная научная конференция по проблемам развития экономики и общества, 3-4 апреля 2012 г., НИУ ВШЭ, г. Москва, Россия. Тема выступления: "Assessing the Effectiveness of Foresight Research in Science and Technology".
  • · 2012: OECD Expert workshop "KNOWINNO Second Expert Meeting on R&D and Innovation in Services, 20-21 марта 2012 г., ОЭСР, г. Париж, Франция. Тема выступления: "Policy Strategies to Support Service Innovation".
  • · 2011: XII Международная научная конференция по проблемам развития экономики и общества, 5-7 апреля 2011 г., НИУ ВШЭ, г. Москва, Россия. Тема выступления: "Results and Impact of National Foresight Studies".

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Does corporate governance improve employees’ innovative performance? A knowledge sharing and absorptive capacity perspective

2026 в печати · ARTICLE · en

Purpose Effective knowledge governance mechanisms are essential for driving digital transformation and implementing Industry 4.0, both of which are critical for building sustainable competitive advantage. Drawing on the Resource-Based View and Knowledge-Based View, the purpose of this study is to open the “black box” of corporate knowledge governance by empirically examining how it enhances employees’ innovative performance. Specifically, the authors test the sequential mediating roles of employees’ knowledge-sharing behaviors and their absorptive capacity. Design/methodology/approach Using a time-lagged, multi-source data set collected from diverse industries in Saudi Arabia, the authors used partial least squares structural equation modeling to test the proposed model. Findings The results of this study demonstrate that corporate knowledge governance has a significant positive effect on employees’ innovative performance. Furthermore, the analysis confirms that knowledge sharing, and individual absorptive capacity positively mediate this relationship. Importantly, the findings of this study also support the sequential mediation effect, showing that corporate knowledge governance fosters knowledge sharing, which in turn strengthens absorptive capacity, ultimately leading to enhanced innovative performance. Practical implications This study also offers important implications for organizational policymakers, emphasizing the need to strengthen employees’ knowledge governance to enhance their innovative performance. Originality/value This paper provides a novel perspective by examining how corporate knowledge governance shapes employees’ knowledge sharing and absorptive capacity from an individual-level viewpoint, contrasting with the predominantly organizational-level focus of existing studies.

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BRICS and walls: A grey incidence analysis of scientific collaboration barriers in BRICS countries

2026 · ARTICLE · en

International scientific collaboration among BRICS countries has intensified in recent years, particularly in the field of science, technology, and innovation (STI). Yet, the underlying cultural and institutional dynamics shaping these partnerships remain underexplored, features that are key to understanding collaborative practices among such a heterogeneous group of countries. We address this gap by investigating how organizational cultural traits relate to key barriers to collaboration in cross-national academic environments. We draw our empirical insights from a novel, primary dataset consisting of 403 survey responses from researchers engaged in BRICS-based co-authorships. The questionnaire, structured on a five-point Likert scale, comprised items on organizational cultural elements (e.g., mutual trust, performance measurement schemes, information sharing, and leadership dynamics) and barriers to collaboration (e.g., administrative mismatches, divergent priorities for publication or patenting, funding limitations, cultural and language differences, and partner reliability). Grey Incidence Analysis (GIA) is employed to evaluate the strength of associations between cultural traits and collaboration barriers. Findings highlight those institutional misalignments, particularly those concerning performance measurement systems and divergent publication priorities are more critical in constraining cooperation than interpersonal or intercultural differences. While trust and communication practices matter, structural incompatibilities related to administrative frameworks and governance policies emerged as the most impactful elements shaping collaborative dynamics. By revealing how governance alignment and institutional harmonization can strengthen innovation performance through enhanced efficiency of joint R&D alliances, accelerated co-patenting and technology licensing, and more effective knowledge-transfer processes, these findings provide actionable insights for both researchers and policymakers. In practical terms, they support the development of STI policy actions that promote more inclusive, resilient, and culturally attuned scientific cooperation within and beyond the BRICS bloc.

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Navigating frictions and drivers in international research collaboration – the case of BRICS nations

2026 · ARTICLE · en

International research collaboration plays an increasingly important role in shaping global scientific agendas. Yet limited empirical attention has been given to how these dynamics unfold in emerging economies. This paper investigates the effects of collaboration frictions, execution challenges, strategic incentives, and trust asymmetries on scientific outcomes in international research collaborations among BRICS academics. Drawing on transaction cost economics, organizational behavior, and process-based trust theory, we develop and test a structural model using survey data from 396 respondents engaged in international collaborative research. Scientific outcomes are defined as tangible and strategic outputs such as technological innovations, R&D infrastructure, and institutional agreements. Contrary to expectations, execution challenges are positively associated with scientific outcomes, suggesting that operational complexity may reflect innovation ambition rather than dysfunction. Strategic incentives emerge as the strongest positive predictor of scientific outcomes. Trust asymmetries, though not directly associated with outcomes, significantly moderate collaboration mechanisms—attenuating the positive influence of strategic incentives and weakening the positive association between execution challenges and scientific outcomes under relational imbalance, while indicating that the relationship between collaboration frictions and scientific outcomes varies across trust conditions. These results challenge conventional assumptions that prioritize friction-free coordination, instead highlighting how relational imbalances can distort collaboration dynamics. The study contributes to a more context-sensitive understanding of research governance in the Global South and offers practical insights into designing resilient, equitable partnerships in complex environments.

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Artificial intelligence and tacit knowledge in radio content production

2026 · ARTICLE · en

Purpose This study explores how artificial intelligence (AI) is transforming tacit knowledge practices and shared leadership in radio broadcasting – a sector characterized by creativity, spontaneity and strong audience engagement. The aim is to assess whether AI can complement or replicate the human dimensions of knowledge sharing in cultural and media organizations. Design/methodology/approach Grounded in Media Richness Theory (MRT), the study adopts a qualitative methodology based on semi-structured interviews with professionals from the Italian radio industry. The empirical material was analysed through thematic analysis to identify key dimensions and tensions in the relationship between AI systems and human expertise. Findings The findings highlight a complex interplay: while AI enhances efficiency and content personalization, it falls short in reproducing tacit knowledge dimensions such as empathy, creativity and improvization. Moreover, the integration of AI reshapes professional roles and leadership structures, revealing the value of non-hierarchical, shared leadership in sustaining knowledge flows within high-creativity contexts. Research limitations/implications The qualitative design limits generalizability; future studies could integrate quantitative or cross-cultural comparisons to validate and broaden insights. Practical implications The study provides actionable recommendations for media organizations undergoing digital transformation, emphasizing the need to preserve human expertise, redesign workflows to balance automation with creativity and foster shared leadership. Social implications The findings suggest that maintaining authentic human–audience connections is vital to sustaining cultural diversity and emotional engagement in an era of increasing automation. Originality/value This study extends knowledge management frameworks into the creative industries, an underexplored domain where embodied and experiential knowledge is central. By applying MRT to AI-mediated broadcasting, it introduces a novel perspective on how automation interacts with tacit knowledge and performative leadership.

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FinTech and the green transition: Exploring pathways to ignite innovation for carbon neutrality in global supply chains

2026 · ARTICLE · en

This article comprehensively evaluates the critical role of FinTech in promoting carbon neutrality and green logistics practices in global supply chains. In our study, using bibliometric analysis, social network analysis and natural language processing (NLP) methods, we evaluate the potential of FinTech innovations to increase traceability, transparency and efficiency in supply chain processes. In this study, in which we examined the ability of FinTech to finance green investments and low-carbon projects, it was investigated how technologies can develop more effective strategies in projects aimed at carbon neutrality. While the analyses reveal the potential of FinTech to reduce the use of paper and thus the demand for resources by increasing the spread of digital transactions, it also emphasizes that the environmental impacts of increasing energy consumption should be considered. The study highlights the importance of the energy mix that secures FinTech operations and the potential of the renewable energy balance in some countries. Social network analyses have identified countries, institutions and researchers that play central cooperation roles in the field of FinTech and green logistics, providing strategic data on information flow and innovation centers. These analyses show that countries that have adopted the Green Deal such as France, Germany, Italy, Spain and the Netherlands have demonstrated strong cooperation in the fields of energy transformation, sustainable agriculture and clean industry, while important partnerships with major emitters such as China, the USA and India and Turkey's strategic cooperation with EU countries, the USA, Brazil, South Korea and Russia reveal the value of advancing global sustainability. In terms of key findings, it shows that carbon neutrality processes are centered around concepts such as 'Impact' and 'Performance' and that these factors play a key role in determining the success of carbon neutrality in global supply chains. The study provides a roadmap in key areas such as financial strategy, governance, innovation, and cost management, guiding companies to develop strategies that can contribute to reducing global carbon emissions by balancing their environmental responsibilities with economic sustainability. In this context, it is stated that the integration of FinTech into supply chain financing processes can help businesses achieve these goals. This study, which analyzes the role of FinTech in green logistics, highlights innovative solutions and collaboration opportunities in achieving sustainability and carbon neutrality goals in global supply chains, and provides an important basis for future research.

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Mind the gap: unveiling the advantages and challenges of artificial intelligence in the healthcare ecosystem

2025 · ARTICLE · en

Purpose This work provides an overview of academic articles on the application of artificial intelligence (AI) in healthcare. It delves into the innovation process, encompassing a two-stage trajectory of exploration and development followed by dissemination and adoption. To illuminate the transition from the first to the second stage, we use prospect theory (PT) to offer insights into the effects of risk and uncertainty on individual decision-making, which potentially lead to partially irrational choices. The primary objective is to discern whether clinical decision support systems (CDSSs) can serve as effective means of “cognitive debiasing”, thus countering the perceived risks. Design/methodology/approach This study presents a comprehensive systematic literature review (SLR) of the adoption of clinical decision support systems (CDSSs) in healthcare. We selected English articles dated 2013–2023 from Scopus, Web of Science and PubMed, found using keywords such as “Artificial Intelligence,” “Healthcare” and “CDSS.” A bibliometric analysis was conducted to evaluate literature productivity and its impact on this topic. Findings Of 322 articles, 113 met the eligibility criteria. These pointed to a widespread reluctance among physicians to adopt AI systems, primarily due to trust-related issues. Although our systematic literature review underscores the positive effects of AI in healthcare, it barely addresses the associated risks. Research limitations/implications This study has certain limitations, including potential concerns regarding generalizability, biases in the literature review and reliance on theoretical frameworks that lack empirical evidence. Originality/value The uniqueness of this study lies in its examination of healthcare professionals’ perceptions of the risks associated with implementing AI systems. Moreover, it addresses liability issues involving a range of stakeholders, including algorithm developers, Internet of Things (IoT) manufacturers, communication systems and cybersecurity providers.

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Entrepreneurial ecosystem as a spatially fluid concept: new territorial perspectives on entrepreneurship

2025 · ARTICLE · en

Although the concept of entrepreneurial ecosystems (EE) is inherently spatial, the actual spatiality of these productive structures has been largely assumed rather than defined based on its formative processes. The oversimplification of the spatiality of EE seems to be a function of empirical reliance on available data, a situation that has generated broadly accepted definitions that delineate EE as fixed territories (be they cities, regions or even countries). Although important insights have been derived from such approaches, this has also hampered a fine-grained scrutiny on the fluidity of EE spatiality—especially along the course of EE evolutionary trajectories. Although most of its components are tied to regional territories, EE are not isolated spatial systems with no outside connections. Accordingly, addressing entrepreneurial ecosystems as such can cause an inadequate comprehension of how entrepreneurship-oriented relationships are organized between EE or between EE and the “hinterland.” These are the motivations that led us to come up with the Special Issue “Exogenous linkages of and between entrepreneurial ecosystems: Perspectives from Interregional and Global connectedness.” In this editorial, we present the articles included in this Special Issue and propose the idea of EE as “spatially-fluid” structures which affect the dynamics of EE configurations and, ultimately, their respective evolutionary trajectories.

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The Critical Mediator Role of Process Management for Effective Industry 4.0 Implementation in SMEs

2025 · ARTICLE · en

This article investigates the pivotal role of Industry 4.0 (I4.0) process management (PM) in leveraging human resources (HR) and operational processes to align with strategic objectives and organizational structures, ultimately achieving competitive advantage. This article targeted small- and medium-sized enterprises (SMEs) in the manufacturing and service sectors in Istanbul, Turkey. Using a simple random sampling technique, we invited 475 firms to participate in a survey, yielding 207 usable responses. The data analysis was conducted in three stages: descriptive statistical analysis to illustrate the characteristics of the participating companies and respondents; confirmatory factor analysis to test the measurement models and ensure they fit the data; and causal analysis to evaluate the hypothesized relationships among the study's constructs. The findings reveal that PM serves as a critical mediator role in the successful implementation of I4.0. Specifically, the article identifies three primary goals in the I4.0 adoption process: strategic improvement, competitiveness, and organizational fit. Effective PM impacts these objectives through two major areas: HR and operations. This article highlights how I4.0 PM can act as a catalyst in the digital transformation of SMEs, ensuring that HR and operations are effectively harnessed to drive strategic change and organizational adaptation, and enhanced competitiveness.

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How innovation community embeddedness impacts firms’ innovation performance: Evidence from the global 3D printing industry

2025 · ARTICLE · en

The acceleration of digitalization and networking in the global landscape has been prompting organizations to connect into innovation communities beyond geographic boundaries within innovation ecosystems. These communities, consisting of firms that collaborate frequently, serve as a vital sub-environment for co-innovation and value creation. Despite the significant role played by these innovation communities, the impact of a firm’s embeddedness within these communities on its innovation performance remains underexplored. This paper addresses this gap by examining the effects of both within-community and cross-community embeddedness on firm innovation, with a specific focus on the contingency of collaboration complementarity. We introduce a conceptual model analyzing the effects of both relational and structural embeddedness within and across communities. An empirical study is conducted using 22 years of panel data from the global 3D printing industry. We construct patent collaboration networks among 6,109 relevant organizations over 5-year windows and identify innovation communities in each network through topological clustering algorithms. A negative binomial regression model is employed to test our hypotheses. Our findings reveal that firms benefit from both within-community and cross-community embeddedness. Notably, firms with higher collaboration complementarity experience greater benefits from within-community relational embeddedness and cross-community structural embeddedness, while those with lower complementarity gain more from cross-community relational embeddedness. This research enriches the innovation ecosystem literature by introducing an innovation community perspective and highlighting how embeddedness, coupled with collaboration orientation, drives firm-level innovation. Additionally, it offers insights into how firms can leverage collaborations and optimize their positions within innovation ecosystems to enhance their innovation performance.

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Doing science an approach to a comprehensive assessment of the business climate for science and technology

2025 · ARTICLE · en

Assessment of science and technology has become widespread in policy making to measure the impact of public funding, align respective policy portfolios and initiate changes in the national institutional environment. In that respect, evaluations of different scope, shape and size and for different purposes are developed and implemented. Such exercises mainly focus on institutions or projects with some consideration of the surrounding framework conditions. Broader assessments at a country level are mainly build on macro indicators derived from national statistics with the framework conditions for research only fragmentarily covered. The approach described in the paper is a survey-based bottom-up assessment by the managers of research institutions of the framework conditions relevant for undertaking scientific activities. It introduces a composite “Doing Science” indicator which consists of such dimensions as human resources, funding, research equipment, information infrastructure, research cooperation, research results and their commercialization, engagement with society, and institutional conditions. The approach delivers a realistic assessment of the attractiveness and suitability of the country's science base to generate scientific results and achieve impact on economy and society, and may serve as a model feedback-based policy evaluation tool for decision makers worldwide.

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