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Entrepreneurship and the Industry Life Cycle : The Changing Role of Human Capital and Competences / / edited by Serena Cubico, Giuseppe Favretto, João Leitão, Uwe Cantner
| Entrepreneurship and the Industry Life Cycle : The Changing Role of Human Capital and Competences / / edited by Serena Cubico, Giuseppe Favretto, João Leitão, Uwe Cantner |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (375 pages) |
| Disciplina | 303.483 |
| Collana | Studies on Entrepreneurship, Structural Change and Industrial Dynamics |
| Soggetto topico |
Entrepreneurship
New business enterprises Evolutionary economics Institutional economics Personnel management Industrial organization Institutional and Evolutionary Economics Human Resource Management Industrial Organization |
| ISBN | 3-319-89336-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PART I: Entrepreneurial and knowledge competencies -- Entrepreneurial Competencies: Comparing and Contrasting Models and Taxonomies -- Heterogeneity and the origin of the Founding Team: How the concepts relate and affect Entrepreneurial Behavior -- Entrepreneurial aptitude and gender-related stereotypes. A research on competencies, policies and practices to foster entrepreneurial culture in a less favoured environment -- Co-leadership and performance in technology-based entrepreneurial firms -- Human Capital, Organizational Competencies and Knowledge & Innovation Transfer: A case study applied to the Mining Sector -- Specific practices of Human Resource Management in the creation and development of micro and small firms, case studies in Portuguese firms -- PART II: Innovative networks and entrepreneurial activities -- The selective nature of innovator networks: from the nascent to the early growth phase of the organizational life cycle -- The decline of innovation in the antibiotics industry and the global threat of antibiotic resistance; when entrepreneurial efforts are not enough -- Entrepreneurship success factors in high and low early stage entrepreneurship intensity countries -- Reasons for the almost complete absence of high-growth ambition and innovation activity of early-stage entrepreneurs in Brazil -- Hindering factors to Innovation. A Panel Data Analysis -- PART III: Entrepreneurship for Change -- Women Entrepreneurship in India: A work-Life Balance Perspective -- The pentagonal problem and the offshore energy sector in Portugal. Why does it matter?- Entrepreneurial Urban Revitalization -- Unconventional Entrepreneurship and the Municipality: The Role of Passion and Competencies -- Assessing entrepreneurial profiles: a study of transversal competence gaps in four European countries. |
| Record Nr. | UNINA-9910298192103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovations for Healthcare and Wellbeing : Digital Technologies, Ecosystems and Entrepreneurship
| Innovations for Healthcare and Wellbeing : Digital Technologies, Ecosystems and Entrepreneurship |
| Autore | Schlyakhto Evgeny |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (567 pages) |
| Altri autori (Persone) |
IlinIgor
DevezasTessaleno Correia LeitãoJoão Carlos CubicoSerena |
| Collana | Contributions to Management Science Series |
| ISBN | 3-031-53614-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Part I: Digital Technologies for Healthcare -- Chapter 1: Information as the Most Important Tool for the Development of Personalized Medicine -- 1.1 Introduction -- 1.2 The Concept of "Big Data" -- 1.3 Digital Health Care -- 1.4 Existing Problems of Big Data Analytics in Medicine -- 1.5 Areas of Successful Use of Big Data and Artificial Intelligence Technologies in the Near Future -- 1.6 Data-Driven Management (DDM) -- 1.7 Conclusions -- References -- Chapter 2: Personalized Approach to Treatment of Malignant Tumors During Pregnancy -- 2.1 Introduction -- 2.2 Gynecological Tumors and Pregnancy -- 2.2.1 Cervical Cancer and Pregnancy -- 2.2.2 Preinvasive Cervical Cancer (High-Grade Squamous Intraepithelial Lesions (HSILs)) in Pregnant Women -- 2.3 Invasive Cervical Cancer During Pregnancy: Diagnostics -- 2.4 Invasive Cervical Cancer During Pregnancy: Treatment -- 2.4.1 Microinvasive Cervical Cancer During Pregnancy -- 2.4.2 Invasive Cervical Cancer During Pregnancy -- 2.5 Fertility After Cervical Cancer Treatment -- 2.6 Ovarian Tumors and Pregnancy -- 2.6.1 Diagnosis of Ovarian Tumors During Pregnancy -- 2.6.2 Therapeutic Tactics for Benign Ovarian Formations During Pregnancy -- 2.6.3 Therapeutic Tactics for Malignant Ovarian Tumors During Pregnancy -- 2.6.4 Fertility After Treatment of Malignant Ovarian Tumors -- 2.6.5 Vulvar Cancer -- 2.6.6 Endometrial Cancer -- 2.7 Breast Cancer and Pregnancy -- 2.7.1 Diagnosis of Breast Cancer During Pregnancy -- 2.7.2 Treatment of Breast Cancer Associated with Pregnancy -- 2.7.3 Surgical Treatment -- 2.7.4 Radiotherapy -- 2.8 Conclusions -- References -- Chapter 3: The Role of Telemedicine Technologies in the Prognosis of Patients with End-Stage Chronic Heart Failure and Heart Transplant Recipients -- 3.1 Introduction.
3.2 Implementation of Telerehabilitation and Technological Innovations in Heart Transplant Recipients -- 3.3 Conclusions -- References -- Chapter 4: The Opportunities of Robot-Assisted Surgery in Team Approach in Patients with Severe Comorbidities -- 4.1 Introduction -- 4.2 Advantages and Disadvantages of Robotic Surgery -- 4.3 Anesthesia for Robot-Assisted Operations -- 4.3.1 Narcosis -- 4.3.2 Positioning the Patient on the Operating Table -- 4.3.3 Carboxyperitoneum -- 4.4 Comorbidity/Frailty -- 4.5 Robot-Assisted Operations -- 4.5.1 Pelvic Surgery -- 4.5.1.1 Robot-Assisted Radical Prostatectomy -- 4.5.1.2 Robot-Assisted Adenomectomy -- 4.5.1.3 Robot-Assisted Radical Cystectomy/Cystoprostatectomy (RARC) -- 4.5.1.4 Prostate Surgery in Frail Patients -- 4.5.2 Kidney Surgery -- 4.5.2.1 Partial Nephrectomy -- 4.5.2.2 Radical Nephrectomy -- 4.5.2.3 Robot-Assisted Pyeloplasty (RAP) -- 4.5.2.4 Robotic Kidney Surgery in Comorbid Patients -- 4.5.3 Robot-Assisted Gynecological Surgery -- 4.5.3.1 Robot-Assisted Gynecological Procedures in Comorbid Patients -- 4.5.4 Robot-Assisted General Surgery -- 4.5.4.1 Robotic General Surgery in Comorbid Patients -- 4.5.5 Experiences at the Almazov National Medical Research Center -- 4.6 Conclusions -- References -- Chapter 5: The First Clinical Application of a Therapy Device for Nitric Oxide Synthesis from Atmospheric Air -- 5.1 Introduction -- 5.2 Materials and Methods -- 5.3 Results -- 5.3.1 Patients -- 5.3.2 The Effect of NO Inhalation on Hemodynamics -- 5.3.3 The Effect of NO Inhalation on Gas Exchange and Oxygen Delivery -- 5.3.4 Clinical Course of the Postoperative Period in the Study Groups -- 5.3.5 Side Effects of Inhaled Nitric Oxide Therapy Identified in the Study Groups -- 5.4 Discussion -- 5.5 Conclusions -- References -- Part II: Healthcare Environment and Ecosystems. Chapter 6: Mechanism for Development of Medical Hubs as a Basic Element of National Security in Health Care -- 6.1 Introduction -- 6.2 Cluster Approach to the Development of Health Care as a Prerequisite for the Formation of a Medical Hub -- 6.3 Conceptual Model of Regional Competitiveness of a Medical Hub -- 6.4 Medical Hubs as an Innovative Business Development Environment: Goals, Principles, Functions, and Structural Elements -- 6.5 Structure of a Medical Hub Business Model -- 6.6 Life Cycle of a Medical Hub -- 6.7 Strategies of Medical Hub Development and Tools for Their Implementation -- 6.8 Development of Public-Private Partnerships -- 6.9 Marketing Strategy -- 6.10 Production Strategy -- 6.11 Strategy for Scientific and Technological Development and Staff Training -- 6.12 Financial Strategy -- 6.13 Socioeconomic Problems of Creating Medical Hubs in the Regions of Russia -- References -- Chapter 7: Using Enterprise Architecture Approach to Model Healthcare Innovation Hubs -- 7.1 Introduction -- 7.2 Digital Innovation Hubs (DIHs) -- 7.3 Overview of Leading Medical Hubs -- 7.3.1 Health Innovation Hub (HIH), Germany -- 7.3.2 Pfizer Healthcare Hub, Berlin, Freiburg, Germany -- 7.3.3 Health Innovation Hub Ireland (HIHI), Ireland -- 7.3.4 Digital Innovation Hub for Home Hospitalisation, Scotland -- 7.3.5 Genolier Innovation Hub, Switzerland -- 7.3.6 Kantonsspital Baden (KSB) Health Innovation Hub, Switzerland -- 7.3.7 Health Innovation Hub at the University Hospital Zurich, Switzerland -- 7.4 Overview of Medical Hub Structures in Russia -- 7.4.1 The International Medical Cluster (IMC), Skolkovo, Moscow -- 7.4.2 Moscow Center for Innovative Technologies in Healthcare, Moscow -- 7.4.3 Scientific and Educational Medical Cluster "Translational Medicine," St. Petersburg -- 7.5 Business Architecture of Healthcare Innovation Hub -- 7.5.1 Hub Stakeholders. 7.5.2 Hub Business Services -- 7.6 The Digital Platform of a Healthcare Innovation Hub -- 7.7 Data of Healthcare Innovation Hubs -- 7.8 Hub Infrastructure -- 7.9 Conclusions -- References -- Chapter 8: Innovation Medical Hub: Data Donation -- 8.1 Introduction -- 8.2 Materials and Methods -- 8.2.1 Identification of the Practical Need for Data Access -- 8.2.2 Literature Search and Analysis -- 8.2.3 Shaping the Requirements for a Data Donation System in Health Care -- 8.2.4 Modeling the Business, IT, and Technology Architecture of a Medical Innovation Hub Data Donation System -- 8.2.5 Verification of the Resulting Models -- 8.3 A Literature Review -- 8.3.1 Specification of the Research Questions -- 8.3.2 Specification of Inclusion and Exclusion Criteria -- 8.3.3 Analysis of Selected Articles -- 8.3.4 Incentives and Value of Data Donation -- 8.4 Results -- 8.5 Discussion -- 8.6 Conclusions -- References -- Chapter 9: Use of the Data-Driven Concept in the Management of a Healthcare Facility -- 9.1 Introduction -- 9.2 The Essence of a Data-Driven Approach -- 9.3 Cases of Implementation of the Data-Driven Concept in Management Regardless of the Field of Activity -- 9.3.1 Sibur Holding -- 9.3.2 SberBank -- 9.4 Case of Implementation of the Data-Driven Concept in the Medical Field -- 9.4.1 The Seoul National University Bundang Hospital -- 9.4.2 The Memorial Sloan Kettering Cancer Center -- 9.4.3 Experience of Using the Data-Driven Concept in Medicine of the Russian Federation -- 9.5 Comparison of Two Business Models of Medical Facility -- 9.6 Difficulties with the Regulatory Framework in Digital Medicine -- 9.7 Results -- 9.8 Conclusions -- References -- Chapter 10: Planning and Management of Vaccine Distribution: Social Vulnerability Index to Reduce Vulnerability in Public Health -- 10.1 Introduction -- 10.2 Materials and Methods -- 10.3 Literature Review. 10.3.1 Vaccine Lifecycle Management -- 10.3.1.1 The Case of Kazakhstan -- 10.3.1.2 The EU Practice and Further Cases -- 10.3.1.3 Ecosystem in Vaccine Lifecycle Management -- 10.3.2 Innovative Solutions with IT Support in Vaccine Supply Chain -- 10.3.3 Comparative Literature Review Summary -- 10.4 Results -- 10.4.1 The Inclusion of the Social Vulnerability Index in the Proposed Innovative Model -- 10.5 Discussion -- 10.6 Conclusions -- References -- Part III: Smart Hospital Concept Development within Innovative Healthcare Ecosystems and National Health Systems -- Chapter 11: Medical Organization Architecture in View of Healthcare Digitalization -- 11.1 Introduction -- 11.2 The Current State of Digitalization of Healthcare -- 11.3 Bottleneck Analysis of Digital Health Transformation Processes -- 11.4 An Architectural Approach to the Digitalization of Healthcare -- 11.4.1 Approach to Developing an Architectural Model -- 11.4.2 Motivational Extension -- 11.4.3 Architectural Model Description -- 11.5 Potential Implementation Projects and Results -- 11.6 Conclusion -- References -- Chapter 12: Implementing Data-Driven Management: A Case of the National Heart Center -- 12.1 Introduction -- 12.2 Description of the Research Object -- 12.3 Project Structure -- 12.4 Implementing Process Management and Increasing the Level of Process Maturity -- 12.5 Quality Control and Internal Benchmarking as a Tool for Implementing DDM -- 12.6 Conclusion -- References -- Chapter 13: Using Wearable Devices to Improve the Patients' Quality of Life -- 13.1 Introduction -- 13.2 Literature Review -- 13.3 Wearable Technologies as a Part of the Internet of Things -- 13.3.1 Architecture of the Medical Internet of Things -- 13.3.2 Perception Level: Data Collection -- 13.3.3 Network Layer: Data Transmission and Storage -- 13.3.4 Application Level: Data Interpretation. 13.4 The Use of Wearable Devices in Different Spheres of Life. |
| Record Nr. | UNINA-9910861095203321 |
Schlyakhto Evgeny
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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