Activity-based life cycle costing model for cost estimation and monitoring – Case: manned and autonomous dry bulk carrier

Recent developments in automation, robotics and artificial intelligence have given a push to a wider usage of these technologies in recent years, and nowadays, driverless transport systems are already state-of-the-art on certain legs of transportation. This has given a push for the maritime industry to join the advancement. The case organisation, AAWA initiative, is a joint industry-academia research consortium with the objective of developing readiness for the first commercial autonomous solutions, exploiting state-of-the-art autonomous and remote technology. The initiative develops both autonomous and remote operation technology for navigation, machinery, and all on-board operating systems. The aim of this study is to develop a model with which to estimate and forecast the operational costs, and thus enable comparisons between manned and autonomous cargo vessels. The building process of the model is also described and discussed. Furthermore, the model’s aim is to track and identify the critical success factors of the chosen ship design, and to enable monitoring and tracking of the incurred operational costs as the life cycle of the vessel progresses. The study adopts the constructive research approach, as the aim is to develop a construct to meet the needs of a case organisation. Data has been collected through discussions and meeting with consortium members and researchers, as well as through written and internal communications material. The model itself is built using activity-based life cycle costing, which enables both realistic cost estimation and forecasting, as well as the identification of critical success factors due to the process-orientation adopted from activity-based costing and the statistical nature of Monte Carlo simulation techniques. As the model was able to meet the multiple aims set for it, and the case organisation was satisfied with it, it could be argued that activity-based life cycle costing is the method with which to conduct cost estimation and forecasting in the case of autonomous cargo vessels. The model was able to perform the cost analysis and forecasting, as well as to trace the critical success factors. Later on, it also enabled, albeit hypothetically, monitoring and tracking of the incurred costs. By collecting costs this way, it was argued that the activity-based LCC model is able facilitate learning from and continuous improvement of the autonomous vessel. As with the building process of the model, an individual approach was chosen, while still using the implementation and model building steps presented in existing literature. This was due to two factors: the nature of the model and – perhaps even more importantly – the nature of the case organisation. Furthermore, the loosely organised network structure means that knowing the case organisation and its aims is of great importance when conducting a constructive research.

Project Controlling and Management in IT Consulting Enterprise

Liiketoiminnan organisoiminen projekteiksi on erittäin yleistä nykyisin. Suuri osa projekteista erityisesti IT-alalla epäonnistuu kuitenkin saavuttamaan tavoitteensa. Projektin menestys on tyypillisesti mitattu budjetin, aikataulun, laadun ja sidosryhmien tyytyväisyyden perusteella. Tämän Pro Gradu -tutkielman tarkoituksena on etsiä tyypillisimpiä syitä projektien epäonnistumiseen ja löytää projektien seurannan ja mittaamisen avulla keinoja näiden epäonnistumisten ehkäisemiseen. Tutkimusmenetelmänä on laadullinen tapaustutkimus. Empiirinen aineisto on kerätty haastattelujen, eri materiaalien analysoinnin ja havainnoinnin avulla. Teoriaosuus tarjoaa kattavan yhteenvedon projektiliiketoiminnan ja yksittäisten projektien johtamiseen sekä projektien seurantaan ja mittaamiseen aikaisemman kirjallisuuden perusteella. Empiirisessä osiossa suoritetaan analyysi Case -yrityksen projektien seurantaan ja valittuihin projekteihin. Analyysien, haastattelujen ja havainnoinnin pohjalta tehdään johtopäätökset tyypillisimmistä, ongelmia projekteissa aiheuttavista tekijöistä sekä näiden esiintymisestä projektin elinkaaren eri vaiheissa. Mahdolliset ongelmia ehkäisevät keinot esitetään myös. Ehdotuksia kehityskohteiksi esitetään lopuksi teorian ja empirian pohjalta.

Consumer perceived risk, risk reduction strategies and transaction intentions in online marketplaces

Even though online commerce has garnered vast academic interest during the recent years, theoretical grounds for consumer behavior online still remains ambiguous. Despite the globally rapid growth of online commerce, only a fraction of Internet browsers end up purchasing goods online. This is argued to be caused by the intangible and distant nature of the Internet, causing overwhelming perceived risks for consumers and negatively affecting transaction intentions. To combat perceived risks, consumers may actively or passively seek to relieve those risks to tolerable level. These risk reduction strategies refer to both institutional mechanisms as well as consumer risk reduction strategies. The objective of this thesis is to provide further understanding upon the relationships between consumer perceived risk, risk reduction strategies and transaction intentions in online marketplaces. To serve the objectives of the present thesis, a quantitative approach was chosen as the method for conducting empirical research. The data was collected with an online survey through discussion board, using a random sample approach. The proposed research model was examined with a set of hierarchical regression analyses. Results revealed several direct relationships as well as moderating interaction effects. The key finding of this thesis is that institutional risk reduction mechanisms significantly contribute to consumer perceived risks. These mechanisms have the potential to reduce perceived risks, and therefore may stimulate transaction intentions. Additionally, it was observed that risk reduction strategies moderate the relationship between intermediary provided risk relievers, consumer perceived risks and transaction intentions. Retailer related risk reduction strategies were also shown to enforce the effectiveness of payment methods; however feedback and monitoring mechanism was shown to have a diminishing effect of perceived risk only when consumers did not rely on product related risk reduction strategies. The present thesis also illustrates the importance of effective information search, as those consumers are more willing to transact as the perceived risks become less significant. For managerial purposes, the importance of well-functioning institutional mechanisms cannot be emphasized enough.

”Stress Monitoring via Wearable Electrodermal Sensors”

Stress is a phenomenon that on some level affects everyone’s lives on a daily basis. The autonomic nervous system controls the varying levels of stress at any given time. The responses of the autonomic nervous system adjust the body to cope with changing external and internal conditions. During high-stress situations the body is forced into a state of heightened alertness, which passes when the stressor is removed. The stressor can be any external or internal event that causes the body to respond. Stress is a very versatile phenomenon that can be both a cause and an indicator of other medical conditions, for example cardiovascular disease. Stress detection can therefore be helpful in identifying these conditions and monitoring the overall emotional state of a person. Electrodermal activity (EDA) is one of the most easily implemented ways to monitor the activity of the autonomic nervous system. EDA describes changes occurring in the various electrical properties of the skin, including skin conductivity and resistance. Increased emotional sweating has been proven to be one possible indication of stress. On the surface of the skin, increased sweating translates to increased skin conductivity, which can be observed through EDA measurements. This makes electrodermal activity a very useful tool in a wide range of applications where it is desirable to observe changes in a person’s stress level. EDA can be recorded by using specialized body sensors placed on specific locations on the body. Most commonly used recording sites are the palms of the hands due to the high sweat gland density on those areas. Measurement is done using at least two electrodes attached to the skin, and recording the electrical conductance between them. This thesis implements a prototype of a wireless EDA measurement system. The feasibility of the prototype is also verified with a small group of test subjects. EDA was recorded from the subjects while they were playing a game of Tetris. The goal was to observe variations in the measured EDA that would indicate changes in the subjects’ stress levels during the game. The analysis of the obtained measurement results confirmed the connection between stress and recorded EDA. During the game, random occurrences of lowered skin resistance were clearly observable, which indicates points in the game where the player felt more anxious. A wireless measurement system has the potential of offering more flexible and comfortable long-term measuring of EDA, and could be utilized in a wide range of applications.