The Oretical Approaches for the Analysis of Innovation Capacity as a Factor that Affects the Competitiveness of Software Industry of Jalisco

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.

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Privacy after the Agile Turn

10.31235/osf.io/9gy73 ◽

2017 ◽

Cited By ~ 6

Author(s):

Seda Gurses ◽

Joris Vredy Jan van Hoboken

Keyword(s):

Information Systems ◽

Software Industry ◽

Data Driven ◽

Dynamic Nature ◽

Privacy Regulation ◽

Research And Practice ◽

Production Processes ◽

Regulatory Frameworks ◽

Software And Hardware ◽

New Challenges

Moving beyond algorithms and big data as starting points for discussions about privacy, the authors of Privacy After the Agile Turn focus our attention on the new modes of production of information systems. Specifically, they look at three shifts that have transformed most of the software industry: software is now delivered as services, software and hardware have moved into the cloud and software’s development is ever more agile. These shifts have altered the conditions for privacy governance, and rendered the typical mental models underlying regulatory frameworks for information systems out-of-date. After 'the agile turn', modularity in production processes creates new challenges for allocating regulatory responsibility. Privacy implications of software are harder to address due to the dynamic nature of services and feature development, which undercuts extant privacy regulation that assumes a clear beginning and end of production processes. And the data-driven nature of services, beyond the prospect of monetization, has become part of software development itself. With their focus on production, the authors manage to place known challenges to privacy in a new light and create new avenues for privacy research and practice.

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