Identity and image – the story of expertise in a manufacturing company

This thesis is an investigation on the corporate identity of the firm SSAB from a managerial viewpoint (1), the company communication through press releases (2), and the image of the company as portrayed in news press articles (3). The managerial view of the corporate identity is researched through interviews with a communication manager of SSAB (1), the corporate communication is researched through press releases from the company (2) and the image is researched in news press articles (3). The results have been deducted using content analysis. The three dimensions are compared in order to see if the topics are coherent. This work builds on earlier research in corporate identity and image research, stakeholder theory, corporate communication and media reputation theory. This is interesting to research as the image of the company framed by the media affects, among other things, the possibility for the company to attract new talent and employees. If there are different stories, or topics, told in the three dimensions then the future employees may not share the view of the company with the managers in it. The analysis show that there is a discrepancy between the topics on the three dimensions, both between the corporate identity and the communication through press releases, as well as between the communication through press releases and the image in news press articles.

Change in Managers’ Conceptions of Human Resources in Organisations : Outcomes of an Intervention

Managers’ conceptions of the importance of human resources are essential for creating ‘attractive workplaces’. This paper examines an intervention method aimed at creating insight among managers in small and medium-sized enterprises (SMEs) concerning the potential of human resources. The intervention method is called Focus Group Attractive Work (FGAW) and was conducted at eight enterprises in Sweden. Based on the analysis, it is concluded that the intervention method seems to be thought-provoking and to facilitate changes in managers’ conceptions of the importance of human resources, albeit to different degrees. 

Machine Learning Algorithms in Heavy Process Manufacturing

In a global economy, manufacturers mainly compete with cost efficiency of production, as the price of raw materials are similar worldwide. Heavy industry has two big issues to deal with. On the one hand there is lots of data which needs to be analyzed in an effective manner, and on the other hand making big improvements via investments in cooperate structure or new machinery is neither economically nor physically viable. Machine learning offers a promising way for manufacturers to address both these problems as they are in an excellent position to employ learning techniques with their massive resource of historical production data. However, choosing modelling a strategy in this setting is far from trivial and this is the objective of this article. The article investigates characteristics of the most popular classifiers used in industry today. Support Vector Machines, Multilayer Perceptron, Decision Trees, Random Forests, and the meta-algorithms Bagging and Boosting are mainly investigated in this work. Lessons from real-world implementations of these learners are also provided together with future directions when different learners are expected to perform well. The importance of feature selection and relevant selection methods in an industrial setting are further investigated. Performance metrics have also been discussed for the sake of completion.

Knowledge translation in Uganda : a qualitative study of Ugandan midwives' and managers' perceived relevance of the sub-elements of the context cornerstone in the PARIHS framework

BACKGROUND: A large proportion of the annual 3.3 million neonatal deaths could be averted if there was a high uptake of basic evidence-based practices. In order to overcome this 'know-do' gap, there is an urgent need for in-depth understanding of knowledge translation (KT). A major factor to consider in the successful translation of knowledge into practice is the influence of organizational context. A theoretical framework highlighting this process is Promoting Action on Research Implementation in Health Services (PARIHS). However, research linked to this framework has almost exclusively been conducted in high-income countries. Therefore, the objective of this study was to examine the perceived relevance of the subelements of the organizational context cornerstone of the PARIHS framework, and also whether other factors in the organizational context were perceived to influence KT in a specific low-income setting. METHODS: This qualitative study was conducted in a district of Uganda, where focus group discussions and semi-structured interviews were conducted with midwives (n = 18) and managers (n = 5) within the catchment area of the general hospital. The interview guide was developed based on the context sub-elements in the PARIHS framework (receptive context, culture, leadership, and evaluation). Interviews were transcribed verbatim, followed by directed content analysis of the data. RESULTS: The sub-elements of organizational context in the PARIHS framework--i.e., receptive context, culture, leadership, and evaluation--also appear to be relevant in a low-income setting like Uganda, but there are additional factors to consider. Access to resources, commitment and informal payment, and community involvement were all perceived to play important roles for successful KT. CONCLUSIONS: In further development of the context assessment tool, assessing factors for successful implementation of evidence in low-income settings--resources, community involvement, and commitment and informal payment--should be considered for inclusion. For low-income settings, resources are of significant importance, and might be considered as a separate subelement of the PARIHS framework as a whole.