António Moniz

This paper is discussing the intuitive interaction with robotic systems and the conceptualisation connected with known organisational problems. In particular, the focus will be on the manufacturing industry with respect to its social dimension. One of the aims is to identify relevant research questions about the possibility of development of safer robot systems in closer human-machine intuitive interaction systems at the manufacturing shop-floor level. We try to contribute to minimize the cognitive and perceptual workload for robot operators in complex working systems. In particular that will be highly relevant when more different robots with different roles and produced by different companies or designers are to be used in the manufacturing industry to a larger extent. The social sciences approach to such technology assessment is of high relevance to understand the dimensions of the intuitive interaction concept.

In recent years, statistical data revealed a strong dynamism in terms of Research and Development (R&D) growth, of development of innovation structures and emergence of programs, and a growth in terms of industrial integration. However, the political and financial changes from 2007 at the global level revealed as well how fragile are these
outcomes in terms of sustainable development strategy, and how far dependent are from the external markets and political structures. Based on the available information and data, we will present the changes observed in recent years, and understand how the industrial integration can be achieved with clear linkages to the national innovation system and the importance of R&D policy to structure the articulation between innovation and the economic market. The challenges and potential problems can be anticipated if the social implications are also present on the policy options, and if clear technology assessment procedures are taken. When this does not occur, the probability of endogenization of innovation and R&D will become problematic. For these reasons it can be difficult to talk
about a “success story” when all these elements are not considered as a whole and are only seen through very specific angles and with very specialized approaches.

Despite increasing calls for evidence-based policies, knowledge about the practical use of evidences remains limited. This paper studies the process of construction of evidences in decisions of innovation policy to understand how evidences were used. It analysis the use of indicators and other evidences through interviews conducted to inquire about the two decisions: an electric mobility policy and a nanotechnology laboratory. Results show indicators and other evidences were brought to decision processes according to their availability and capacity to support the different interests of the actors and
the stakeholders. Their role was influenced by the particular situation of the decision makers. More importantly, the use of persuasive analytical evidences appears to be related with the adversity of the policy context. In addition, research suggests that indicators are one tool among others to foster innovation decisions. In fact, the relatively minor instrumental role of indicators suggests that indicators are mostly a complementary instrument of decision. When used relevantly, indicators can offer support to a decision. But there are other significant influences that need to be taken into account to understand the specific role indicators and other evidences play, such as the social relations of the decision makers and their emotional-intuitive decisions.

1st ISA Forum report

In this paper will be discussed different types of scenarios and the aims for using scenarios. Normaly they are being used by organisations due to the need to anticipate processes, to support policy-making and to understand the complexities of relations. Such organisations can be private companies, R&D organisations and networks of organisations, or even by some public administration institutions. Some cases will be discussed as the methods for ongoing scenario-building process (Shell Internacional). Scenarios should anticipate possible relations among social actors as in the Triple Helix Model, and is possible to develop strategic intelligence in the innovation process that would enable the construction of scenarios. Such processes can be assessed. The focus will be made in relation to the steps chosen for the WORKS scenarios. In this case is there a model of work changes that can be used for foresight? Differences according to sectors were found, as well on other dimensions. Problems of assessment are analysed with specific application to the scenario construction methods.

Technology assessment (TA) had never been treated as a relevant topic within the International Sociological Association (ISA) before. The first steps towards establishing this association were taken in 1948, at the initiative of the Social Science Department of UNESCO. Its formal foundation was in 1949. The World Congress of Sociology in Japan was hopefully the beginning of continuous integration of TA into the thematic sessions within the ISA.

The introduction of exoskeletons by many companies has often resulted in potential users not wanting to wear them. Evaluations of the exoskeleton reveal benefits of use, including ergonomic advantages and a reduction of work-related musculoskeletal disorders. How can this contradiction be explained? By searching the available literature, we can identify the methods used to develop these devices and the methods employed to evaluate their acceptance and benefit. By looking at the product from different viewpoints and involving different disciplines, we will get to the root of this discrepancy. Our findings indicate that the product definition, development focus, and evaluation methods do not sufficiently and adequately address the primary goal of exoskeletons. The development of such devices should be prioritized not only for the delivery of support but also for the motivation of the user. Finally, we put forward the proposal to discuss the establishment of a novel development method for the prospective elaboration of exoskeletons.

Recent developments in automation and Artificial Intelligence (AI) are leading to a wave of innovation in organizational design and changes in the workplace. Techno-optimists even named it the ‘second machine age’, arguing that it now involves the substitution of the human brain. Other authors see this as just a continuation of previous ICT developments. Potentially, automation and AI can have significant technical, economic, and social implications in firms. The paper will answer the question: what are the implications on industrial productivity and employment in the automotive sector with the recent automation trends, including AI, in Portugal? Our approach used mixed methods to conduct statistical analyses of relevant databases and interviews with experts on R&D projects related to automation and AI implementation. Results suggest that automation can have widespread adoption in the short term in the automotive sector, but AI technologies will take more time to be adopted. Findings show that adoption of automation and AI increases productivity in firms and is dephased in time with employment implications. Investments in automation are not substituting operators but rather changing work organization. Thus, negative effects about technology and unemployment were not substantiated by our results

https://ideas.repec.org/p/mde/wpaper/0165.html

In Europe, the technology development of high-speed trains is increasingly exposed to societal needs, driven by ICT advancements, external to traditional design. Together with the liberalisation of the rail markets and increase pressures from other transport modes leads to an unprecedented situation where planers, operators and suppliers of high-speed have to take decision in this complex and competitive environment.
In such broadening of elements influencing design and, thus, product development process, from the survey here to be presented, it was not observed technology options assessment or strategic agenda setting from visions shifting in the same way.
For the high-speed train industry this new trend requires going beyond the visions of the past 15 to 20 years’ practices of “sector endogenous” and structurally closed strategic methods approaches to a broader interaction with the widening of societal actors now capable of being active contributors to innovation from digitalization.
This way to understand the European industry readiness for undertaking such supra systemic challenge, this paper presents the results from a survey conducted by the authors to 74 representatives of the high-speed train innovation chain regarding to which extent societal embedding is considered in the drafting of their visions and technology development projects.
This work becomes even more pertinent if considered that the debate is now open in the railway industry (not exclusive to high-speed trains) as they are launching the joint initiative SHIFT2RAIL, revise ERRAC (the European Rail Research Advisory Council) mandate and enter in a new research cycle with the European research framework Horizon 2020.

New technologies, sustainability policies, protectionism and consumers preferences are pushing for the reorganisation of the automotive cluster. The emergence of artificial intelligence (AI) has the potential to create disruptive effects in the employment systems across the world. The future deployment of broad-spectrum algorithms capable of being used in wide areas of application (e.g., industrial robotics, software and data communication) can lead to considerable changes in current work patterns, swiftly render many unemployed across the globe and profoundly destabilise labour relations. In this paper, we identify the probable penetration of AI in the automotive sector and to study its effects on work organisation, employment, and industrial relations systems, in Portugal. These changes are put in place to enhance the product quality, control costs, and improve productivity. We study these implications on productivity and industrial relations collecting new data and obtain results based on secondary statistical analyses and case studies in the automotive industry. Finally, changes in the productivity and labour market will be discussed considering the employment and skills changes in the automotive sector when investment on automation becomes a clear trend in the automotive sector.

Most of the discussion and controversy on organisation of work concepts has been referenced to the manufacturing industry along the 20th century: it started with the concept of “scientific management” from Taylor, and continued with the new ideas on the importance of human factors as Mayo pointed out in the 1930s. Immediately after the 2nd World War Friedmann studied the human problems related to new manufacturing technologies and automation. And the late 1950 and 1960s were decades of strong debate on the socio-technics with the research at Tavistock Institute of London and the emergence of national programmes on new forms of work organisation. At the end of the last century the concept of collaborative work was developed together with the definition(s) of information systems and organisational design. However, the interest came from other production activities, like the services. This article analyses the approaches developed on these debates on the collaborative work and information system and its application to the manufacturing industry.

A sociologia tem como objecto de análise a acção social e a sua expressão nas relações sociais. Estas relações estão organizadas de múltiplas formas, e conhecem infinitos tipos de interacções humanas. No entanto, o conjunto de relações em que os indivíduos se opõem ou criam laços de solidariedade fundamenta-se e verifica-se na esfera da produção. É efectivamente neste domínio que a conduta humana encontra uma das suas mais importantes determinações. Assim, o desenvolvimento da organização industrial acabou por fornecer verdadeiramente algumas das características essenciais da sociedade moderna. Uma delas é o fenómeno da especialização que se acentuou particularmente na indústria e acabou por abraçar praticamente todos os outros domínios da actividade humana.

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