Student Thesis Level: Master’s Thesis in Business Administration Corporate Social Responsibility (CSR) networking : A case study on why members join CSR network and why are they sharing their knowledge

Purpose – This research focuses on finding the reasons, why members from different sectors join a cross-sector/multi-stakeholder CSR network and what motivates them to share (or not to share) their knowledge of CSR and their best practices. Design/methodology/approach – Semi-structured interviews were conducted with members of the largest cross-sector CSR network in Sweden. The sample base of 15 people was chosen to be able to represent a wider variety of members from each participating sectors. As well as the CEO of the intermediary organization was interviewed. The interviews were conducted via email and telephone. Findings – The findings include several reasons linked to the business case of CSR such as stakeholder pressure, competitive advantage, legitimacy and reputation as well as new reasons like the importance of CSR, and the access of further knowledge in the field. Further reasons are in line with members wanting to join a network, such as access to contact or having personal contacts. As to why members are sharing their CSR knowledge, the findings indicate to inspire others, to show CSR commitment, to be visible, it leads to business opportunity and the access of others knowledge, and because it was requested. Reasons for not sharing their knowledge would be the lack of opportunity, lack of time and the lack of experience to do so. Originality/value – The research contributes to existing studies, which focused on Corporate Social Responsibility and cross-sector networking as well as to inter-organizational knowledge sharing in the field of CSR.

Automating condition monitoring of vegetation on railway trackbeds and embankments

Vegetation growing on railway trackbeds and embankments present potential problems. The presence of vegetation threatens the safety of personnel inspecting the railway infrastructure. In addition vegetation growth clogs the ballast and results in inadequate track drainage which in turn could lead to the collapse of the railway embankment. Assessing vegetation within the realm of railway maintenance is mainly carried out manually by making visual inspections along the track. This is done either on-site or by watching videos recorded by maintenance vehicles mainly operated by the national railway administrative body. A need for the automated detection and characterisation of vegetation on railways (a subset of vegetation control/management) has been identified in collaboration with local railway maintenance subcontractors and Trafikverket, the Swedish Transport Administration (STA). The latter is responsible for long-term planning of the transport system for all types of traffic, as well as for the building, operation and maintenance of public roads and railways. The purpose of this research project was to investigate how vegetation can be measured and quantified by human raters and how machine vision can automate the same process. Data were acquired at railway trackbeds and embankments during field measurement experiments. All field data (such as images) in this thesis work was acquired on operational, lightly trafficked railway tracks, mostly trafficked by goods trains. Data were also generated by letting (human) raters conduct visual estimates of plant cover and/or count the number of plants, either on-site or in-house by making visual estimates of the images acquired from the field experiments. Later, the degree of reliability of(human) raters’ visual estimates were investigated and compared against machine vision algorithms. The overall results of the investigations involving human raters showed inconsistency in their estimates, and are therefore unreliable. As a result of the exploration of machine vision, computational methods and algorithms enabling automatic detection and characterisation of vegetation along railways were developed. The results achieved in the current work have shown that the use of image data for detecting vegetation is indeed possible and that such results could form the base for decisions regarding vegetation control. The performance of the machine vision algorithm which quantifies the vegetation cover was able to process 98% of the im-age data. Investigations of classifying plants from images were conducted in in order to recognise the specie. The classification rate accuracy was 95%.Objective measurements such as the ones proposed in thesis offers easy access to the measurements to all the involved parties and makes the subcontracting process easier i.e., both the subcontractors and the national railway administration are given the same reference framework concerning vegetation before signing a contract, which can then be crosschecked post maintenance.A very important issue which comes with an increasing ability to recognise species is the maintenance of biological diversity. Biological diversity along the trackbeds and embankments can be mapped, and maintained, through better and robust monitoring procedures. Continuously monitoring the state of vegetation along railways is highly recommended in order to identify a need for maintenance actions, and in addition to keep track of biodiversity. The computational methods or algorithms developed form the foundation of an automatic inspection system capable of objectively supporting manual inspections, or replacing manual inspections.

DEN KOMMUNALA FÖRVALTNINGENSOM RATIONALISTISKT IDEAL- en fallstudie om styrning och handlingsutrymme inom skola,barnomsorg och miljö- och hälsoskydd

DEN KOMMUNALA FÖRVALTNINGEN SOM RATIONALISTISKT IDEAL - en fallstudie om styrning och handlingsutrymme inom skola, barnomsorg och miljö- och hälsoskydd.(The municipal authority as a rationalist ideal - a case-study on steering and scope for initiative within child-care, education and environmental departments.)A municipal authority is a considerable producer of services in the local community and iscommonly perceived as an important sector of the Swedish welfare system. One aspect of awell-functioning municipal organisation is that its administrative organs function efficiently.This study examines how activities in municipal administration are steered. The focus is on how different methods are used within a vertical hierarchical perspective to influence the actions of the participants and how the latter try to create space for action. To analyse the problem an ideal-type steering model is used.The study consists of three sections. In the first the research problem and the aims of the study are introduced as well as the methodological and theoretical approach. The result of the study is presented in the second section and in the third conclusions are drawn and discussed.The study shows that the perceptions of the participants involved regarding the possibilities of steering the everyday activities with the support of the methods studied differ on a number of points depending on the sector studied. When control of the various steering methods is distributed in different organisational units in the municipality a number of steering mechanisms operate side-by-side, sometimes in harmony and sometimes independently or in pure conflict with their goals. Steering leads to clear restrictions but there is clearlyroom for initiative, a ‘free-zone’ where the individual has room to act independently. Is it possible based on this study to state whether the ideal-type model functions in the way intended? On many accounts it would seem doubtful whether the effects of steering lead to beneficial effects for the activity. Rather it would seem that the effects of steeringsometimes function more or less randomly because the administration exists in a complexcontext in which the staff can be expected to have its own expectations and act in accordancewith them.