nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2023‒09‒11
seven papers chosen by
Laura Nicola-Gavrila, Centrul European de Studii Manageriale în Administrarea Afacerilor

  1. Knowledge Creation through Multimodal Communication By Berliant, Marcus; Fujita, Masahisa
  2. Scientific knowledge production of blockchain: A bibliometric and lexicometric review By Wilfrid Azan; Yuan Li
  3. Big data and firm marketing performance: Findings from knowledge-based view By Shivam Gupta; Théo Justy; Shampy Kamboj; Ajay Kumar; Eivind Kristoffersen
  4. Economic complexity and the sustainability transition: A review of data, methods, and literature By Bernardo Caldarola; Dario Mazzilli; Lorenzo Napolitano; Aurelio Patelli; Angelica Sbardella
  5. Modelling evidence-based practice in initial teacher training: causal effects on teachers' skills, knowledge and self-efficacy By Sam Sims; Harry Fletcher-Wood; Thomas Godfrey-Faussett; Peps Mccrea; Stefanie Meliss
  6. What drives university-industry collaboration? Research excellence or firm collaboration strategy? By Atta-Owusu, Kwadwo; Fitjar, Rune Dahl; Rodríguez-Pose, Andrés
  7. The Impact of Digital Transformation on Productivity and Resource Reallocation within Firms (Japanese) By FUKAO Kyoji; INUI Tomohiko; KIM Young Gak; KWON Hyeog Ug; IKEUCHI Kenta

  1. By: Berliant, Marcus; Fujita, Masahisa
    Abstract: Knowledge creation either in isolation or joint with another person, using either face to face or internet contact, incorporating internet search ability is analyzed. In addition to formal knowledge, tacit knowledge plays an essential role in the knowledge production process. The introduction of tacit knowledge increases the productivity of knowledge workers dramatically. The framework is applied to pandemic restrictions on face to face communication; workers with longer commutes experience less of a relative productivity loss from restrictions than workers with shorter commutes.
    Keywords: Knowledge creation; Tacit knowledge; Multimodal communication; Pandemic restrictions
    JEL: D83 L86
    Date: 2023–08–16
  2. By: Wilfrid Azan (COACTIS - COnception de l'ACTIon en Situation - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne, BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique); Yuan Li (COACTIS - COnception de l'ACTIon en Situation - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne)
    Abstract: While recent reviews of blockchain technology have focused on the latest developments in cryptocurrency and their derivative impacts, less attention has been given to analysing their knowledge paths and boundaries based on past research to guide their development. To address this gap, we conducted both a bibliometric study of 2525 articles and a lexicometric study of 123 articles. The bibliometric study provided holistic insights into the evolution and distribution of blockchain research, including influential researchers and countries, discipline composition, knowledge development trends, and emerging frontiers. The lexicometric study identified the boundary concept structure with a quantitative textual approach, extracting the strongest signifying epistemic communities. Our findings indicate that blockchain research draws from four major disciplines, making it a multidisciplinary field. With the increasing maturity and development of technological infrastructure, the application and management of blockchain become increasingly relevant issues. Our analysis suggests that blockchain can be considered more of a boundary object than a disruptive change from knowledge perspectives. Therefore, this paper proposes a comprehensive understanding of the development path and epistemic concepts of blockchain research.
    Keywords: Blockchain bibliometrics lexicometrics citation analysis epistemic communities, Blockchain, bibliometrics, lexicometrics, citation analysis, epistemic communities
    Date: 2023–08–10
  3. By: Shivam Gupta (NEOMA - Neoma Business School); Théo Justy (MRM - Montpellier Research in Management - UPVM - Université Paul-Valéry - Montpellier 3 - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier, Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School); Shampy Kamboj (National Institute of Technology [Hamirpur]); Ajay Kumar (EM - emlyon business school); Eivind Kristoffersen (NTNU - Norwegian University of Science and Technology [Trondheim] - NTNU - Norwegian University of Science and Technology)
    Date: 2021–10
  4. By: Bernardo Caldarola; Dario Mazzilli; Lorenzo Napolitano; Aurelio Patelli; Angelica Sbardella
    Abstract: Economic Complexity (EC) methods have gained increasing popularity across fields and disciplines. In particular, the EC toolbox has proved particularly promising in the study of complex and interrelated phenomena, such as the transition towards a greener economy. Using the EC approach, scholars have been investigating the relationship between EC and sustainability, proposing to identify the distinguishing characteristics of green products and to assess the readiness of productive and technological structures for the sustainability transition. This article proposes to review and summarize the data, methods, and empirical literature that are relevant to the study of the sustainability transition from an EC perspective. We review three distinct but connected blocks of literature on EC and environmental sustainability. First, we survey the evidence linking measures of EC to indicators related to environmental sustainability. Second, we review articles that strive to assess the green competitiveness of productive systems. Third, we examine evidence on green technological development and its connection to non-green knowledge bases. Finally, we summarize the findings for each block and identify avenues for further research in this recent and growing body of empirical literature.
    Date: 2023–08
  5. By: Sam Sims (UCL Centre for Education Policy & Equalising Opportunities, University College London); Harry Fletcher-Wood (Ambition Institute); Thomas Godfrey-Faussett (Ambition Institute); Peps Mccrea (Ambition Institute); Stefanie Meliss (Ambition Institute)
    Abstract: Teacher education/training often incorporates observable examples of focal teaching practices - models. Yet, there is little causal evidence on the benefits of models or how best to design them. We used a classroom simulator experiment to test the effects of video models on trainee teachers' skills, knowledge, and self-efficacy in relation to using retrieval practice at the end of a primary school science unit. Results showed that models improved participants' skills, but not their knowledge or self-efficacy. Adding annotations to the models had no additional benefit. Incorporating models in initial teacher training can help new teachers make better use of evidence-based teaching practices.
    Keywords: teachers, professional development, models
    JEL: I20
    Date: 2023–08
  6. By: Atta-Owusu, Kwadwo; Fitjar, Rune Dahl; Rodríguez-Pose, Andrés
    Abstract: Research and innovation policy aims to boost research output and university-industry collaboration (UIC) in part to allow firms access to leading scientific knowledge. As part of their mission, universities in many countries are expected to contribute to innovation in their regions. However, the relationship between research output and UIC is unclear: research-intensive universities can produce frontier research, which is attractive to firms, but may simultaneously suffer from a gap between the research produced and the needs of local firms, as well as mission overload. This may hinder local firms’ ability to cooperate with universities altogether or force them to look beyond the region for other suitable universities to interact with. This paper investigates the relationship between the research output of local universities and firms’ participation in UICs across different geographical scales. It uses Community Innovation Survey (CIS) data for Norwegian firms and Scopus data on Norwegian universities’ research output across various disciplines. The results demonstrate that local university research intensity and quality are negatively associated with firm participation in UICs at the local level. Firm characteristics, in particular the firm's general strategy towards cooperation and its geography, turn out to be much more important than university characteristics in explaining UICs. Notably, firms’ cooperation with other external partners at the same scale is a strong predictor of UICs.
    Keywords: Firms; Norway; Research; Universities; University-industry collaboration; 209761
    JEL: R14 J01
    Date: 2021–12–01
  7. By: FUKAO Kyoji; INUI Tomohiko; KIM Young Gak; KWON Hyeog Ug; IKEUCHI Kenta
    Abstract: Prior studies have pointed out that the Japanese economy has lagged behind in IT and has not fully enjoyed the productivity benefits of IT investments, which has led to a prolonged slump in productivity growth to some extent. The spread of COVID-19 is forcing the Japanese economy to undergo digital transformation (DX), but there has been insufficient prior research in Japan on the impact of DX on corporate performance. This study analyzed the relationship between DX and corporate performance using firm-level data. The main findings are as follows: (1) IT investment is positively correlated with firm productivity, with the main contribution coming from software; (2) the establishment of a concurrent Chief Information Officer (CIO) is positively correlated with firm productivity, but the complementary relationship between CIO and IT investment is not confirmed; (3) there is no direct relationship between the introduction of new devices such as smartphones and tablets into the workplace and firm productivity; (4) there is no significant relationship between the use of big data within a company and productivity improvement; and (5) sharing data with supplier companies is positively related to corporate productivity, while sharing with customers is negatively correlated with firm productivity; and (6) IT investment by the Japanese headquarters has a weak positive correlation with the profit margin of overseas subsidiaries. For this study, we connected and analyzed firm-level data from the "ICT Workplace Survey", the "Basic Survey of Japanese Business Structure and Activities" and the "Basic Survey on Overseas Business Activities" conducted by the Ministry of Economy, Trade and Industry (METI), the "Survey on Big Data Utilization and Innovation in Manufacturing" by RIETI and firm-level data provided by Tokyo Shoko Research (TSR)".
    Date: 2023–08

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