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1 – 3 of 3Chiara Bartolacci, Cristina Cristalli, Daniela Isidori and Federico Niccolini
Taking Nonaka’s SECI model as the main reference, this paper aims to offer reflections on the virtual evolution of ba, the places for knowledge creation. Indeed, looking at the…
Abstract
Purpose
Taking Nonaka’s SECI model as the main reference, this paper aims to offer reflections on the virtual evolution of ba, the places for knowledge creation. Indeed, looking at the current scenario, widening the knowledge spiral to the inter-organizational epistemological level is inevitable. To this aim, information technology tools and virtual communities can establish effective interactions to exchange knowledge, making ba evolve congruently.
Design/methodology/approach
The paper takes the exemplary case of a platform developed during a European research project called “BIVEE: Business Innovation in Virtual Enterprise Environments”. The investigative approach chosen is participatory action research (PAR), with two researchers conducting PAR in real time, and two others involved ex post.
Findings
The paper shows that the virtual evolution of ba can lead the SECI model towards an inter-organizational level. Moreover, through a learning history, it describes how all the phases of the SECI process, even the Socialization one, can take place or be supported in virtual spaces.
Research limitations/implications
Taking into account just one single exemplary case study provides a rich, contextualized understanding of phenomena, while allowing only some theoretical generalizations.
Originality/value
This paper contextualizes the SECI model within a Web platform for open innovation, to investigate whether the knowledge creation process can take place entirely within a virtual environment linking subjects from different organizations. In so doing, it applies the SECI model to the phases of the innovation process, called waves.
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Elena Casprini, Alfredo De Massis, Alberto Di Minin, Federico Frattini and Andrea Piccaluga
This paper aims to shed light on how family firms execute open innovation strategies by managing internal and external knowledge flows.
Abstract
Purpose
This paper aims to shed light on how family firms execute open innovation strategies by managing internal and external knowledge flows.
Design/methodology/approach
First, through a comprehensive literature review, the paper identifies the barriers to the acquisition and transfer of knowledge in open innovation processes. Second, it presents and discusses the results of an exploratory case study on Loccioni, an Italian family firm providing high-tech measurement solutions, highlighting how this family firm managed to overcome the barriers in executing an open innovation strategy.
Findings
The case study shows that Loccioni faced specific challenges in acquiring and transferring knowledge in its open innovation processes and developed two idiosyncratic capabilities – labelled imprinting and fraternization – that helped the firm overcome the barriers to knowledge acquisition and transfer. The analysis shows that these two capabilities are enabled by the distinctive goals and social capital characterizing family firms.
Originality/value
The paper creates a link between open innovation and family business research with an empirically grounded model illustrating how the idiosyncratic capabilities of a family firm help overcome the critical barriers to the acquisition and transfer of knowledge in executing an open innovation strategy.
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Daniele Massa, Massimo Callegari and Cristina Cristalli
This paper aims to deal with the problem of programming robots in industrial contexts, where the need of easy programming is increasing, while robustness and safety remain…
Abstract
Purpose
This paper aims to deal with the problem of programming robots in industrial contexts, where the need of easy programming is increasing, while robustness and safety remain fundamental aspects.
Design/methodology/approach
A novel approach of robot programming can be identified with the manual guidance that permits to the operator to freely move the robot through its task; the task can then be taught using Programming by Demonstration methods or simple reproduction.
Findings
In this work, the different ways to achieve manual guidance are discussed and an implementation using a force/torque sensor is provided. Experimental results and a use case are also presented.
Practical implications
The use case shows how this methodology can be used with an industrial robot. An implementation in industrial contexts should be adjusted accordingly to ISO safety standards as described in the paper.
Originality/value
This paper presents a complete state-of-the-art of the problem and shows a real practical use case where the approach presented could be used to speed up the teaching process.
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