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on Knowledge Management and Knowledge Economy |
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Issue of 2022‒05‒02
three papers chosen by Laura Nicola-Gavrila Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Altomonte, Carlo; Ottaviano, Gianmarco; Rungi, Armando; Sonno, Tommaso |
| Abstract: | Hierarchical differentiation is a cornerstone of the organizing process. In this paper, we do three things. First, exploiting a newly assembled dataset, we provide the first worldwide overview of the patterns of hierarchical differentiation across Business Groups (BGs), highlighting the co-existence of different hierarchical shapes. Second, we show how the different shapes can arise as optimal hierarchical structures in a knowledge-based model of BGs when subsidiaries' operations involve ubiquitous problem solving under parents' supervision. Three primitive characteristics of a BG determine its optimal choice of hierarchical structure: production efficiency and two dimensions of problem solving efficiency related to supervising knowledge creation and handling associated communication across subsidiaries. Third, we check the consistency of the model's predictions with the empirical patterns for Europe, the US, and the world. The model successfully passes the consistency test. |
| Keywords: | business groups; knowledge hierarchies; multinational enterprises; organisation of production |
| JEL: | D23 L23 F23 L25 G34 |
| Date: | 2021–10–15 |
| URL: | http://d.repec.org/n?u=RePEc:ehl:lserod:113855&r= |
| By: | Kleiner-Schaefer, Timo; Schaefer, Kerstin J. |
| Abstract: | University-industry collaborations (UICs) are one of the main sources of external knowledge and technologies for industrial firms, particularly in the context of emerging markets (EMs) and firm development. It is thus highly relevant to identify potential barriers internal to the firm as well as in the regional innovation system that might prevent firms from using UICs for innovation, in particular in an EM context. In order to address this issue, we conduct a firm-level study of the R&D-related segment of the manufacturing industry in Istanbul. Logistic regression analysis is used to test the effect of potential barriers on using UICs for innovative activities. With this approach, we are able to identify barriers that prevent innovation-related UICs and thus form a bottleneck to collaborations in the first place. Our findings show that lack of information about UIC opportunities as well as lack of financial support for UICs are the most relevant barriers that inhibit firms’ usage of UICs for innovation. This firm-level evidence points out the importance of university technology transfer offices in regional innovation systems and for fruitful UICs. We further find that administrative barriers have no significant effect, while barriers related to trust and skill matching with scientific partners even have a reverse effect to what we would have expected from the literature. This finding might point towards an effect of perceived versus deterring barriers that has been observed in innovation studies before and might be relevant for studying UICs as well. |
| Keywords: | barrier; emerging market; innovation; research and development; Turkey; university–industry collaboration |
| JEL: | O30 O32 O38 |
| Date: | 2022–02–04 |
| URL: | http://d.repec.org/n?u=RePEc:ehl:lserod:113840&r= |
| By: | R. Rosiyana Dewi (University of Trisakti, Jakarta, Indonesia Author-2-Name: Etty Murwaningsari Author-2-Workplace-Name: University of Trisakti, Jakarta, Indonesia Author-3-Name: Sekar Mayangsari Author-3-Workplace-Name: University of Trisakti, Jakarta, Indonesia Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:) |
| Abstract: | " Objective - Corporate concern for the environment is an important stakeholder demand. A company is obliged to preserve the environment with various investments, one of which is green intellectual capital to maintain the sustainability of the company, especially for companies that carry out their business activities in countries that are in conditions of high pollution such as Indonesia. The importance of green intellectual capital investment information for stakeholders can be seen from the value relevance of the information. This study aims to examine and analyze the effect of investment in green intellectual capital, which consists of the following dimensions: human, structural, and relation to value relevance. Methodology/Technique - This study will explain the causal relationship between the independent and the dependent variables through hypothesis testing based on the theorythat has been formulated with data that obtained and tested through quantitative panel data testing. Findings - The results of a survey of 515 samples of data from a population of 183 manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2015-2019 found that green intellectual capital with its three dimensions had a significant positive effect on value relevance. This study also proves that green structural intellectual capital has influenced more on value relevance than human and relation intellectual capital. Novelty - The measurement of variablesis green intellectual capital and value relevance in this study develops previous research with related government conditions and regulations in Indonesia. Green intellectual capital investment is measured by using content analysis from disclosures in annual reports and sustainability reports, and value relevance is measured by the Olhson model with beta correction by the stock market in Indonesia. Type of Paper - Empirical." |
| Keywords: | Green Intellectual Capital; Value relevance; Human Capital; Structural Capital, Relational Capital |
| JEL: | G32 O34 |
| Date: | 2021–12–31 |
| URL: | http://d.repec.org/n?u=RePEc:gtr:gatrjs:afr204&r= |