Käyttöpääoman hallinnan vaikutus suomalaisten pk-yritysten maksuvalmiuteen

Tämän kandidaatintutkielman tavoite on tarkastella suomalaisten pk-yritysten maksuvalmiuden ja käyttöpääoman hallinnan välistä yhteyttä. Tarkoitus on selvittää, voidaanko suomalaisten pk-yritysten maksuvalmiutta parantaa käyttöpääoman hallintaa tehostamalla ja onko siitä saatava hyöty toimialariippuvaista. Toimialavertailuun valittiin rakentaminen, koneiden ja laitteiden valmistus sekä jälleenmyynti. Aineisto tutkimukseen hankittiin Amadeus-tietokannasta. Tutkimuksessa hyödynnetään tilastollisia menetelmiä. Tilastolliset analyysit suoritetaan SAS Enterprise Guide -ohjelmistolla. Muuttujien välisiä suhteita tarkastellaan regressioanalyysin avulla, jotka suoritetaan jokaiselle toimialaluokalle ja kaikista toimialoista koostuvalle otokselle erikseen. Tutkimustulosten mukaan toimialasta riippumatta pk-yrityksen maksuvalmiutta voidaan parantaa käyttöpääoman hallintaa tehostamalla. Vaikutuksen suuruus riippuu kuitenkin toimialasta. Tutkimustulokset huomioiden pk-yritysten johdon tulisi resurssien niukkuudesta huolimatta kiinnittää huomiota käyttöpääoman hallintaan, erityisesti silloin kuin yrityksen maksuvalmius on uhattuna.

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.