A Study of Environmental Disclosures in the European Oil and Gas Industry : With Reference to the Global Reporting Initiative

Background and Problem: Sustainability reporting is a growing trend in the society. One of the most exposed industries to environmental matters is the oil and gas industry, which commit to sustainability reporting in order to deal with the industry’s destructive operations. The Global Reporting Initiative (GRI) provides voluntary guidelines in sustainability reporting, which increase transparency for the company’s stakeholders. However, it is controversial that the oil and gas industry put a great effort into sustainability reporting even though the industry is environmentally destructive. This gap is interesting to investigate and will contribute to the academic discussion. Therefore, this thesis will focus on the sustainability reporting in the oil and gas industry and to what extent the industry actually discloses material environmental information about their operations. Purpose: The purpose of this thesis is to examine how the sustainability reporting has changed in the oil and gas industry in Europe. This is performed from a stakeholder perspective. Further, it aims to investigate how oil and gas companies have followed the GRI guidelines and how the reporting has changed over time. Method: A quantitative method is used in order to answer the research questions. The data sample is based on oil and gas companies reporting according to the GRI framework during year 2012 to year 2014. The empirical data is gathered from the studied companies’ environmental category in their sustainability reports. Further, a content analysis technique, with a coding scheme, was set up to interpret and analyse the information. To enable an easy overview of the findings, the relevant data is presented in tables and diagrams. Empirical Findings and Conclusion: The majority of the studied companies have increased their level of compliance in the environmental category. Although, the majority of the companies have increased their reporting, the compliance level differs between the companies. The most reported sectors are the; “Water”, “Biodiversity”, “Emissions”, “Effluents and Waste”, “Compliance”, and “Overall”. Further, the empirical findings show that there is an overall increase in the amount of disclosed information per indicator. The conclusion of this thesis is that the environmental disclosures have increased in the oil and gas industry from year 2012 to 2014.

Examining Levels of Automation in the Wood Processing Industry - A case study

Companies operating in the wood processing industry need to increase their productivity by implementing automation technologies in their production systems. An increasing global competition and rising raw material prizes challenge their competitiveness. Yet, too extensive automation brings risks such as a deterioration in situation awareness and operator deskilling. The concept of Levels of Automation is generally seen as means to achieve a balanced task allocation between the operators’ skills and competences and the need for automation technology relieving the humans from repetitive or hazardous work activities. The aim of this thesis was to examine to what extent existing methods for assessing Levels of Automation in production processes are applicable in the wood processing industry when focusing on an improved competitiveness of production systems. This was done by answering the following research questions (RQ): RQ1: What method is most appropriate to be applied with measuring Levels of Automation in the wood processing industry? RQ2: How can the measurement of Levels of Automation contribute to an improved competitiveness of the wood processing industry’s production processes? Literature reviews were used to identify the main characteristics of the wood processing industry affecting its automation potential and appropriate assessment methods for Levels of Automation in order to answer RQ1. When selecting the most suitable method, factors like the relevance to the target industry, application complexity or operational level the method is penetrating were important. The DYNAMO++ method, which covers both a rather quantitative technical-physical and a more qualitative social-cognitive dimension, was seen as most appropriate when taking into account these factors. To answer RQ 2, a case study was undertaken at a major Swedish manufacturer of interior wood products to point out paths how the measurement of Levels of Automation contributes to an improved competitiveness of the wood processing industry. The focus was on the task level on shop floor and concrete improvement suggestions were elaborated after applying the measurement method for Levels of Automation. Main aspects considered for generalization were enhancements regarding ergonomics in process design and cognitive support tools for shop-floor personnel through task standardization. Furthermore, difficulties regarding the automation of grading and sorting processes due to the heterogeneous material properties of wood argue for a suitable arrangement of human intervention options in terms of work task allocation.  The application of a modified version of DYNAMO++ reveals its pros and cons during a case study which covers a high operator involvement in the improvement process and the distinct predisposition of DYNAMO++ to be applied in an assembly system.