Työntekijän näkökulmat ja oppiminen ulkoistusprojektissa : "Aluks pelkää muutosta ja sit pelkää, ettei mikään muutukaan."

The aim of this master s thesis was to clarify employees views on outsourcing. The main questions of the study were 1) How the employees dealt with the change created by outsourcing and what things they felt important when implementing the change? 2) What kind of organizational questions the employees paid attention to when moving from one organization to another? 3) What kind of management issues the employees brought up in the outsourcing process? and 4) How the employees reflected change while experienced outsourcing? The theoretical foundations of the study were Jack Mezirow s theory of transformational learning and Yrjö Engeström s theory of expansive learning. The management of outsourcing was viewed by John P. Kotter s change management model. Research casted light on transformation and learning on four levels of analysis: on individual, organizational and management levels and on the level of reflection. The target of the study were the outsourced employees, who were moved from a Finnish public corporation to a private ITC organization along with the services they produce. The study material was eleven interviews from the outsourced employees. The study was implemented by fenomenographical theme analysis. The analysis revealed results in all four levels. On the individual level the main results were the importance of systematic and open information, meaning of social and technical integration and the feeling of employee s own control. On the organizational level the move from the public sector to private and all the changes in organizational culture and in fringe benefitswere fundamental. Organizational learning was analyzed with expansive learning theory. Expanding was perceived in four dimensions: temporal dimension, spatial dimension, responsibility-moral dimension and developmental dimension. On the management level the actions of one s closest manager was vital, as was the upper management s clear engagement and a shared view of the necessity of a change. In the data was found employees reflective talking, which was indicating the meaning of the change and which was interpreted from the learning point of view. According to this study, it is possible to identify and analyze reflective talk and that way have information about employees learning in an organizational change. It was prominent to notice how reflection in the process of outsourcing is extremely versatile and extensive.

The Value of Research Data

Scientific research revolves around the production, analysis, storage, management, and re-use of data. Data sharing offers important benefits for scientific progress and advancement of knowledge. However, several limitations and barriers in the general adoption of data sharing are still in place. Probably the most important challenge is that data sharing is not yet very common among scholars and is not yet seen as a regular activity among scientists, although important efforts are being invested in promoting data sharing. In addition, there is a relatively low commitment of scholars to cite data. The most important problems and challenges regarding data metrics are closely tied to the more general problems related to data sharing. The development of data metrics is dependent on the growth of data sharing practices, after all it is nothing more than the registration of researchers’ behaviour. At the same time, the availability of proper metrics can help researchers to make their data work more visible. This may subsequently act as an incentive for more data sharing and in this way a virtuous circle may be set in motion. This report seeks to further explore the possibilities of metrics for datasets (i.e. the creation of reliable data metrics) and an effective reward system that aligns the main interests of the main stakeholders involved in the process. The report reviews the current literature on data sharing and data metrics. It presents interviews with the main stakeholders on data sharing and data metrics. It also analyses the existing repositories and tools in the field of data sharing that have special relevance for the promotion and development of data metrics. On the basis of these three pillars, the report presents a number of solutions and necessary developments, as well as a set of recommendations regarding data metrics. The most important recommendations include the general adoption of data sharing and data publication among scholars; the development of a reward system for scientists that includes data metrics; reducing the costs of data publication; reducing existing negative cultural perceptions of researchers regarding data publication; developing standards for preservation, publication, identification and citation of datasets; more coordination of data repository initiatives; and further development of interoperability protocols across different actors.