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on Knowledge Management and Knowledge Economy |
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Issue of 2023‒02‒27
five papers chosen by Laura Nicola-Gavrila Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Ann Hipp; Björn Jindra; Kehinde Medase |
| Abstract: | Former socialist systems were considered inferior to Western market economies in terms of innovation and productivity. We provide new evidence on the productivity effects of inventorship in the Soviet-type economy of the German Democratic Republic (GDR). We investigate three types of inventorship: knowledge generation, accumulation and diffusion. By applying a Cobb-Douglas production function using original primary and harmonized productivity data and manually cleaned patent data of the GDR between 1970 and 1989, we show that inventorship contributed to productivity in the industry sectors. This holds for knowledge generation, accumulation and diffusion in general, while in the presence of sufficient local interactive capabilities, international knowledge diffusion did not result in productivity gains. We contribute to empirical evidence on the productivity effects from an alternative system of patenting and innovation. |
| Keywords: | Soviet-type economy, productivity, inventorship, knowledge |
| JEL: | P23 L60 O14 |
| Date: | 2023–01 |
| URL: | http://d.repec.org/n?u=RePEc:atv:wpaper:2301&r=knm |
| By: | Moreira, Hugo |
| Abstract: | At a systems level data, knowledge and technology are interconnected. Data is the raw material that is used to create knowledge, and technology is the application of knowledge. In recent decades, the growth of data technology has been exponential due to the development of digital technologies such as computers and the internet. The General Data Protection Regulation (GDPR) was implemented in response to the increasing use of data by private companies and the inadequacy of the 1995 Directive on Data Protection in addressing these issues. The GDPR has effectively strengthened data protection in the EU through its harmonization with the European Data Protection Board, the requirement for Data Protection Officers within data controllers' organizations, and the implementation of clear rules and explicit fines. However, it is important to recognize the limitations of the regulation, including its selective nature regarding the growth of personal data and the potential negative impact on citizens' knowledge about themselves. An efficiency and efficacy analysis found that it has contributed to the development of a common European data protection culture and the protection of individuals' rights, though it has had a negative impact on the financial performance of some companies. A systems analysis using systems thinking illustrates the implications of the regulation for the functioning of societal systems and the relationships between them. As data technology and the use of data-driven synthetic agents like AI continue to advance, it may be necessary to consider alternative approaches, such as focus on anonymization, in future addiction to the data protection regulatory framework. |
| Date: | 2023–01–06 |
| URL: | http://d.repec.org/n?u=RePEc:osf:socarx:f4zvy&r=knm |
| By: | Nguyen, Oliver |
| Abstract: | The term "digital economy" refers to the use of information technology to create, adapt, market and consume goods and services that are based on the use of information technology, in order to make money. A number of digital research areas have been explored in the past few years, including digital banking, e-commerce, virtual education, smartphone apps, and collaboration platforms. During the past few decades, there has been no doubt that the world we live in has been changing steadily in many ways. Among the key factors that have driven these changes has been the Digital Revolution, which is one of the key drivers of these changes. It would be more accurate to say that the purpose of digital transformation is not to search for unicorns on the Internet, but rather to use the newest technology to do what you do already in a more efficient and effective manner. As a result of digital technologies, many countries are in a position to enhance their competitiveness and promote economic growth by increasing their use of these technologies. As a definition, the digital economy refers to the economic activity that results from billions of online connections that occur every day between people, businesses, devices, data, and processes. A key component of the digital economy is hyper connectivity, which is the increasing interconnection of people, organisations, and machines that is a result of the Internet, mobile technology, and the internet of things (IoT). There is no doubt that the digital economy is taking shape and upending conventional notions about how businesses are structured; how they interact; and how they provide services, information, and goods to consumers. |
| Keywords: | Digital economic development, digitisation and economic impact, digitisation for competitiveness, Economy and digital journey |
| JEL: | L2 O1 O14 O3 O32 O33 |
| Date: | 2023–01–07 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:116110&r=knm |
| By: | Daniela Bragoli (Università Cattolica del Sacro Cuore - Milano); Flavia Cortelezzi (Insubria University - Como); Massimiliano Rigon (Bank of Italy) |
| Abstract: | In this paper, we investigate whether the cooperation with universities may stimulate the innovative performance of Italian firms. We use a dataset merging information from two different surveys carried out by the Bank of Italy between 2007 and 2010. We derive our results using a two-stage procedure with the aim of ruling out spurious correlations due to the existence of omitted variables. Results show that the cooperation with universities does not affect the likelihood of firms introducing technological innovations. However, when we distinguish between pure technological innovation outcomes (only new products and/or productive processes) and joint innovation outcomes, which involve both organizational and technological changes, we find that only the latter is positively stimulated by the cooperation with universities. These findings are promising since, according to the innovation management literature, joint innovation activities are more successful in transferring new ideas and new business opportunities into market success. |
| Keywords: | university cooperation, technological innovation, organizational innovation, control function |
| JEL: | C35 C36 O30 |
| Date: | 2023–02 |
| URL: | http://d.repec.org/n?u=RePEc:bdi:wptemi:td_1400_23&r=knm |
| By: | Moreira, Hugo |
| Abstract: | This study employs a historical comparative methodology to explain the emergence time frame of comprehensive data protection regulations in Europe, the United States, and China. The study marks the beginning of the big data era in 2010 and explains the variation in the emergence of data protection regulations by examining the international problem-solving landscape, societal institutional organization, and individual interactions pressures. The EU's General Data Protection Regulation (GDPR) has had a significant impact on the alignment of regulations in other countries and the behavior of the private sector in terms of regulatory compliance. The California Consumer Privacy Act (CCPA) in the United States is a response to a growing social movement against corporativism and the abuse of personal data by large companies. The Personal Information Protection Law (PIPL) in China focuses on international data sovereignty and aims to protect the personal information of Chinese citizens from foreign companies and countries. Overall, the data protection case shows that when new technologies emerge, there is a natural tendency for regulatory convergence. The GDPR is an example of a regulatory solution that has been successfully propagated, due to the EU strong institutional reaction to new circumstances and ability to negotiate with all parties to create solutions for complex problems. |
| Date: | 2023–01–27 |
| URL: | http://d.repec.org/n?u=RePEc:osf:socarx:v6uf3&r=knm |