|
on Knowledge Management and Knowledge Economy |
|
Issue of 2022‒03‒28
five papers chosen by Laura Nicola-Gavrila Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Voxi Heinrich Amavilah (Economics/Division of Behavioral and Social Sciences Estrella Mountain College); Antonio Rodriguez Andres (Faculty of Management Technology, German University in Cairo) |
| Abstract: | Knowledge has emerged as a potentially key driver of economic growth and competitiveness, thereby attracting more attention in Africa than before because it is crucial to understand the factors and policies that influence the knowledge economy (KE) process and economic performance. |
| Keywords: | Knowledge economy, African countries, Seemingly unrelated regression, Economic growth |
| JEL: | O10 I20 O55 O33 O40 C2 C3 C51 |
| Date: | 2022–02 |
| URL: | http://d.repec.org/n?u=RePEc:guc:wpaper:57&r= |
| By: | Julia Mazzei; Tommaso Rughi; Maria Enrica Virgillito |
| Abstract: | The development of low emission vehicles (LEVs) in the automotive sector stands out in the literature as a typical case of technological competition between a dominant design and a set of alternative green technologies. The incremental trajectory of green technologies aimed at improving the efficiency of the internal combustion engine (ICEG) is competing with a radical trajectory targeted to the development of hybrid, electric and fuel cell vehicles (HEF). Exploiting a novel dataset of firm- and patent-level information retrieved from ORBIS-IP and containing USPTO patent applications between 2001 and 2018 in the automotive sector, we first cluster firms according to their relative patent share and degree of specialization in each trajectory, identifying a technological landscape in which they locate with distinct strategies. We then investigate the extent to which different stocks and combinations of knowledge might explain such heterogeneity in innovative efforts and positioning in the landscape. Our results suggest that a stock of ''brown'' knowledge closely related to ''green'' knowledge proves to be valuable for firm's success in each trajectory. Moreover, firms with a broad array of different knowledge sources are capable of reaching a leadership position in the technological landscape. |
| Keywords: | Low emission vehicles; relatedness; diversification; knowledge. |
| Date: | 2022–03–18 |
| URL: | http://d.repec.org/n?u=RePEc:ssa:lemwps:2022/10&r= |
| By: | Pedro, Akeem; Pham-Hang, Anh-Tuan; Nguyen, Phong Thanh; Pham, Hai Chien |
| Abstract: | Accident, injury, and fatality rates remain disproportionately high in the construction industry. Information from past mishaps provides an opportunity to acquire insights, gather lessons learned, and systematically improve safety outcomes. Advances in data science and industry 4.0 present new unprecedented opportunities for the industry to leverage, share, and reuse safety information more efficiently. However, potential benefits of information sharing are missed due to accident data being inconsistently formatted, non-machine-readable, and inaccessible. Hence, learning opportunities and insights cannot be captured and disseminated to proactively prevent accidents. To address these issues, a novel information sharing system is proposed utilizing linked data, ontologies, and knowledge graph technologies. An ontological approach is developed to semantically model safety information and formalize knowledge pertaining to accident cases. A multi-algorithmic approach is developed for automatically processing and converting accident case data to a resource description framework (RDF), and the SPARQL protocol is deployed to enable query functionalities. Trials and test scenarios utilizing a dataset of 200 real accident cases confirm the effectiveness and efficiency of the system in improving information access, retrieval, and reusability. The proposed development facilitates a new “open” information sharing paradigm with major implications for industry 4.0 and data-driven applications in construction safety management. |
| Keywords: | construction safety, information sharing, knowledge graph, linked data, ontology, semantic web, data-driven, knowledge engineering, knowledge management, accident prevention |
| JEL: | D8 D83 L74 L82 N6 |
| Date: | 2022–01–11 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:112007&r= |
| By: | Hikmah, Nisa Nurul |
| Abstract: | Infrastruktur bisnis digital harus dikelola dengan baik dan berkelanjutan demi kemajuan perusahaan. Infrastruktur bisa dengan pengadaana komputer, aplikasi, sistem, dan orang IT yang memang khusus ahli di dalam bidang tersebut. Saat perusahaan beralih ke digital, pasti terdapat kendala yang akan ditemukan. Maka dari itu pengelolaan infrastruktur perlu dilakukan oleh perusahaan. Semakin baik infrastruktur bisnis digital, maka akan semakin meningkat pula kepuasan karyawan, tingkat keamanan data, dan lain-lain. Infrastruktur pada bisnis digital juga bisa dikatakan akan mempengaruhi kesuksesan suatu perusahaan. Dalam menghadapi persaingan global, tentu perusahaan harus siap dengan segala perubahan baru yang akan terjadi agar bisa bersaing dengan perusahaan lain. Perusahaan juga harus menyiapkan dana atau alokasi anggaran yang matang untuk menunjang semua infrastruktur bisnis digital. |
| Date: | 2021–10–20 |
| URL: | http://d.repec.org/n?u=RePEc:osf:osfxxx:g5h62&r= |
| By: | Aldieka, Rafli Putra |
| Abstract: | Saat ini, kita sudah mulai memasuki industry 4.0 yang dimana sudah banyak perusahaan yang mulai berfokus untuk bergerak dan bertransformasi ke arah digital tau teknologi. Oleh karena itu, karyawan harus dituntut memiliki keahlian dalam pengelolaan kemajuan teknologi. Tidak hanya itu saja, karyawan juga harus dibekali keahlian komunikasi, manajemen, dan kerja tim (Teamwork). |
| Date: | 2021–10–25 |
| URL: | http://d.repec.org/n?u=RePEc:osf:osfxxx:yzsjt&r= |