Measuring and Analyzing the Openness of the Web2.0 Service Network for Improving the Innovation Capacity of the Web2.0 System through Collective Intelligence

2010 ◽  
pp. 93-105 ◽  
Author(s):  
Kibae Kim ◽  
Jörn Altmann ◽  
Junseok Hwang
Keyword(s):  
Collective Intelligence ◽  
Service Network ◽  
Innovation Capacity

The importance of human resources to the innovative capacity of portuguese firms

2014 ◽  
Author(s):  
Armando Silva
Keyword(s):  
Human Resources ◽  
Innovation Process ◽  
Community Innovation Survey ◽  
Innovative Process ◽  
Qualified Personnel ◽  
Main Effect ◽  
Innovation Capacity ◽  
Innovative Capacity ◽  
Training Of Personnel

In this study I test the importance of several Human Resource variables to the innovation capacity of portuguese firms but also the effects that the innovation process generates on Human Resources. A branch of the innovation literature states that the ability of firms to innovate relies on an innovative capacity, which, in turn, depends on several factors, both internal and external to enterprises. One of those factors is the effort of firms to train their personnel specifically in order to enable them to innovate. The present test is applied to 4818 Portuguese enterprises for the period 2002-2004 through the use of the fourth Community Innovation Survey data. In order to evaluate the contribution of Human Resources to innovation I have estimated several knowledge Production Functions, mainly using probits and tobits. In that framework it is assumed that innovation depends on some inputs (as the training of personnel) and on information-flows from the existing knowledge stock (as clients). I have found significant the role of personnel training for the innovative process of Portuguese firms. Moreover, I also found that the lack of qualified personnel hinged critically more innovative performance of firms and, in addition, it is noticed that the improvement of productivuty (cost reduction) was the main effect of innovation in Portuguese firms.

Unfold Collective Intelligence!

2012 ◽  
Vol 107 (3) ◽  
pp. 152-157 ◽  
Author(s):  
Pascal Krenz ◽  
Jens P. Wulfsberg ◽  
Franz-L. Bruhns
Keyword(s):  
Collective Intelligence

Rancang Bangun Sistem Rekomendasi Resep Masakan Khas Indonesia Menggunakan Metode Collaboration Collective Intelligence dan Slope One

2018 ◽  
Vol 9 (2) ◽  
pp. 88-96 ◽  
Author(s):  
Adhi Kusnadi ◽  
Daniel Daniel
Keyword(s):  
Collective Intelligence ◽  
The Public ◽  
Index Terms ◽  
Previous User

Today, recipes are not just physical, but some are digital. So users do not have to store recipe books that have been purchased to find recipes for a dish. One of a website providing recommendations for digital recipe guides is dapursaji. This application helps users to search for recipes only by entering the ingredients of the food owned by the user. And will produce a list of dishes that use the material entered by the previous user. In addition there will be related recommendations after opening one of the recipes after the search. Not only that, this website can also provide the freedom to innovate, by means of all users can fill a new recipe in accordance with the innovation and creation itself. Then the recipe will be published and read by the public. Collaborative Collective Intelligence and Slope One methods are implemented in this design, and evaluation results show that as many as 89% of users surveyed have been satisfied with the suitability and usefulness of the built system. Index Terms—recipes, dish, collaborative Collective Intelligence, slope one

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