scholarly journals Mapping Knowledge Flows in ExploratoryWeb Searches

2022 ◽  
Author(s):  
Marcelo Tibau ◽  
Sean Wolfgand Matsui Siqueira ◽  
Bernardo Pereira Nunes
Keyword(s):  
Author(s):  
Mara Mărginean

Building on several international professional meetings of architects organized in Romania or abroad, this article details how various modernist principles, traditionally subsumed to Western European culture, were gradually reinterpreted as an object of policy and professional knowledge on urban space in the second and third world countries. The article analyses the dialogue between Romanian architects and their foreign colleagues. It highlights how these conversations adjusted the hierarchies and power relations between states and hegemonic centres of knowledge production. In this sense, it contributes to the recent research on the means by which the "trans- nationalization of expertise" "transformed various (semi)peripheral states into new centres of knowledge and thus outlines a new analytical space where domestic actions of the Romanian state in the area of urban policies are to be analysed not as isolated practices of a totalitarian regime, but as expressions of the entanglements between industrialization models, knowledge flows and models of territoriality that were not only globally relevant, but they also often received specific regional, national and local forms.


2021 ◽  
pp. 097172182110204
Author(s):  
Yi Su ◽  
Xuesong Jiang ◽  
Zhouzhou Lin

A small-world simulation model of a regional innovation system combining the strength of the intersubject relationship of the regional innovation system with the loosely coupled system is constructed. We use a simulation to observe knowledge flow within the regional innovation system under relationships of varying strength. The results show that when the relationship between the subjects of the regional innovation system reaches a certain strength, the system will exhibit high module independence and high network integrity, forming a loosely coupled system. The knowledge flow in the system exhibits the emergence of a fast flow rate, a high mean value and little variance. When relationship strength is at other levels, the emergence of knowledge cannot be identified.


2021 ◽  
pp. 0308518X2110000
Author(s):  
Jonathan Muringani ◽  
Rune D Fitjar ◽  
Andrés Rodríguez-Pose

Social capital is an important factor explaining differences in economic growth among regions. However, the key distinction between bonding social capital, which can lead to lock-in and myopia, and bridging social capital, which promotes knowledge flows across diverse groups, has been overlooked in growth research. In this paper, we address this shortcoming by examining how bonding and bridging social capital affect regional economic growth, using data for 190 regions in 21 EU countries, covering eight waves of the European Social Survey between 2002 and 2016. The findings confirm that bridging social capital is linked to higher levels of regional economic growth. Bonding social capital is highly correlated with bridging social capital and associated with lower growth when this is controlled for. We do not find significantly different effects of bonding social capital in regions with more or less bridging social capital, or vice versa. We examine the interaction between social and human capital, finding that bridging social capital is fundamental for stimulating economic growth, especially in low-skilled regions. Human capital also moderates the relationship between bonding social capital and growth, reducing the negative externalities imposed by excessive bonding.


2019 ◽  
Vol 29 (4) ◽  
pp. 329-346 ◽  
Author(s):  
Cigdem Baskici

Purpose Although there have been a considerable number of studies regarding subsidiary role typology in multinationals’ management literature, there appear to be few studies that consider knowledge-based role typology from the network-based perspective. The purpose of this study is to fill this gap and extend the study of Gupta and Govindarajan (1991). Thus, the study focuses on answering the following research question: Do subsidiaries have different roles in terms of knowledge flows within a multinational company (MNC)? Design/methodology/approach This empirical study has been carried out as an explorative single case study. An MNC with 15 foreign subsidiaries headquartered in Turkey, which operated in the manufacturing of household appliances and consumer electronics, has been selected as the case. Knowledge transfer is analyzed in this MNC from the network perspective. Findings Four role typologies are detected for subsidiaries of the MNC: collector transmitter, collector diffuser, converter transmitter and converter diffuser. Research limitations/implications Findings of this study are specific to this case. Testing the findings in a sample consisting of subsidiaries of MNCs producing transnational products may contribute to the generalizability of these roles. Practical implications This study offers potentially important findings for MNC managers to use. First, in this study, knowledge flows' route could be defined within MNCs’ dual network. Second, role typologies could inform MNC managers to design their MNCs’ knowledge network. Originality/value The suggested typologies are expected to more accurately define the roles of subsidiaries within contemporary MNCs which are accepted to be transformed from hierarchical structures to network-based organizations.


2006 ◽  
Vol 6 (5) ◽  
pp. 571-591 ◽  
Author(s):  
Ajay Agrawal ◽  
Iain Cockburn ◽  
John McHale

2015 ◽  
Vol 5 (2) ◽  
pp. 194-205 ◽  
Author(s):  
Scarlat Emil ◽  
Virginia Mărăcine

Purpose – The purpose of this paper is to discuss how tacit and explicit knowledge determine grey knowledge and how these are stimulated through interactions within networks, forming the grey hybrid intelligent systems (HISs). The feedback processes and mechanisms between internal and external knowledge determine the apparition of grey knowledge into an intelligent system (IS). The extension of ISs is determined by the ubiquity of the internet but, in our framework, the grey knowledge flows assure the viability and effectiveness of these systems. Design/methodology/approach – Some characteristics of the Hybrid Intelligent Knowledge Systems are put forward along with a series of models of hybrid computational intelligence architectures. More, relevant examples from the literature related to the hybrid systems architectures are presented, underlying their main advantages and disadvantages. Findings – Due to the lack of a common framework it remains often difficult to compare the various HISs conceptually and evaluate their performance comparatively. Different applications in different areas are needed for establishing the best combinations between models that are designed using grey, fuzzy, neural network, genetic, evolutionist and other methods. But all these systems are knowledge dependent, the main flow that is used in all parts of every kind of system being the knowledge. Grey knowledge is an important part of the real systems and the study of its proprieties using the methods and techniques of grey system theory remains an important direction of the researches. Originality/value – The paper discusses the differences among the three types of knowledge and how they and the grey systems theory can be used in different hybrid architectures.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Regina Lenart-Gansiniec ◽  
Wojciech Czakon ◽  
Massimiliano Matteo Pellegrini

Purpose This study aims to identify context-specific antecedents to schools’ absorptive capacity (AC) and to show how those can enact “a virtuous learning circle.” Design/methodology/approach The study uses a mixed method: an exploration based on semi-structured interviews with educational experts; the development of a measurement scale and a partial least squares structural equation modelling to test the impact of the antecedents. Findings The results yielded four empirically-grounded antecedents and their measurement scales, namely, prior knowledge, employees’ skills, educational projects and interactions with the environment (Studies one and two). All antecedents are significantly and positively related to AC processes (study three). Using the organizational learning theory perspective, the results have been interpreted as an AC “virtuous learning circle.” Practical implications With increasing pressures to adapt, a case of which was the COVID-19 pandemic, schools can greatly benefit from absorbing knowledge flows. This suggests the construction a favourable environment for AC. To this end, the individual (employees’ prior knowledge and skills), organizational (educational projects) and institutional level of managerial action (interactions with the environment) can be effective when create a recursive organizational learning circle. In addition, this study offers an expert-validated measurement scale for self-assessment of a school’s specific contingencies, and thus, for planning of punctual interventions to develop AC. Originality/value This study advances the existing body of knowledge management in the educational context by rigorously identifying and validating a scale for measuring the antecedents of AC and developing an interpretive approach to the AC “virtuous circle.”


2018 ◽  
Vol 31 (3) ◽  
pp. 34-53 ◽  
Author(s):  
Yu Jia ◽  
Nianxin Wang ◽  
Shilun Ge

The purpose of this article is to portray the knowledge evolution paths of business-IT alignment (BITA) research and identify a set of important papers in the development of BITA, and elucidate the intellectual structure of this field. This study collected 309 papers published during the period 1983-2015 from the Web of Science (WOS) database. Using a variety of bibliometric and visualization analytic techniques such as citation analysis, co-citation analysis and main path analysis, this article (1) delineates the significant knowledge flows of BITA research and identifies 15 important papers in this field; (2) graphically maps the influential countries, institutions, and journals of BITA research; (3) identifies four major research themes: BITA model, measurement, antecedents, and dynamics, and visualizing the relationships among them. Based on these findings, recommendations for the future research directions have suggested. This article provides IT practitioners, executives, and scholars with a new perspective to get a better understanding of BITA.


Information ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 270 ◽  
Author(s):  
Anne Faber ◽  
Sven-Volker Rehm ◽  
Adrian Hernandez-Mendez ◽  
Florian Matthes

Smart mobility is a central issue in the recent discourse about urban development policy towards smart cities. The design of innovative and sustainable mobility infrastructures as well as public policies require cooperation and innovations between various stakeholders—businesses as well as policy makers—of the business ecosystems that emerge around smart city initiatives. This poses a challenge for deploying instruments and approaches for the proactive management of such business ecosystems. In this article, we report on findings from a smart city initiative we have used as a case study to inform the development, implementation, and prototypical deployment of a visual analytic system (VAS). As results of our design science research we present an agile framework to collaboratively collect, aggregate and map data about the ecosystem. The VAS and the agile framework are intended to inform and stimulate knowledge flows between ecosystem stakeholders in order to reflect on viable business and policy strategies. Agile processes and roles to collaboratively manage and adapt business ecosystem models and visualizations are defined. We further introduce basic categories for identifying, assessing and selecting Internet data sources that provide the data for ecosystem models and we detail the ecosystem data and view models developed in our case study. Our model represents a first explication of categories for visualizing business ecosystem models in a smart city mobility context.


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