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Articles by Sanna Laukkanen

Category : Research article

article id 387, category Research article
Sanna Laukkanen, Teijo Palander, Jyrki Kangas, Annika Kangas. (2005). Evaluation of the multicriteria approval method for timber-harvesting group decision support. Silva Fennica vol. 39 no. 2 article id 387. https://doi.org/10.14214/sf.387
Keywords: group decision support; multicriteria approval; timber-harvesting planning; voting methods
Abstract | View details | Full text in PDF | Author Info
The decision support methods most often used in timber-harvesting planning are based on a single criterion. In this study, a voting-theory-based method called multicriteria approval (MA) is introduced to the group decision support of timber-harvesting. The use of voting methods alleviates the problems caused by the multitude of decision objectives involved in forestry decision-making and by the poor quality of information concerning both the preferences of decision-makers and the evaluation of decision alternatives with respect to the objectives often faced in practical timber-harvesting planning. In the case study, the tactical forest management plan of a forest holding jointly owned by three people was specified at the operative timber-harvesting level. The task was to find the best actual operative alternatives for the harvesting that had been proposed in the tactical plan. These timber-harvesting alternatives were combinations of treatment, timber-harvesting system and the timing of logging. Forest owners established multiple criteria under which the alternatives were evaluated. Two versions of MA were tested, one of them based on individual decision analyses and other one based on a composite analysis. The first was markedly modified from the original MA, combining properties of MA and Borda count voting. The other was an original MA with the order of importance for criteria estimated either using Borda count or cumulative voting. The results of the tested MA versions produced were very similar to each other. MA was found to be a useful tool for the group decision support of timber-harvesting.
  • Laukkanen, University of Joensuu, Faculty of Forestry, P.O. Box 111, FI-80101 Joensuu, Finland E-mail: sanna.laukkanen@joensuu.fi (email)
  • Palander, University of Joensuu, Faculty of Forestry, P.O. Box 111, FI-80101 Joensuu, Finland E-mail: tp@nn.fi
  • Kangas, UPM-Kymmene Forest, P.O. Box 32, FI-37601 Valkeakoski, Finland E-mail: jk@nn.fi
  • Kangas, University of Helsinki, Department of Forest Resource Management, P.O. Box 27, FI-00014 University of Helsinki, Finland E-mail: ak@nn.fi
article id 506, category Research article
Teijo Palander, Katja Turunen, Sanna Laukkanen. (2003). Attitude of Finnish timber buyers towards implementation of a forest computer visualisation. Silva Fennica vol. 37 no. 2 article id 506. https://doi.org/10.14214/sf.506
Keywords: change resistance; competence; forest computer visualisation; timber trade
Abstract | View details | Full text in PDF | Author Info
Timber buyers’ opinions as regards forest computer visualisation are studied. The results indicated that timber buyers are still rather conventional in their computer use since they mainly use only the information system of their own company. The majority of the buyers perceived computer visualisation to be slightly useful for their work, or they had no opinion concerning the usefulness of it. One third of the buyers considered computer visualisation to be a quality factor for timber trade, and the majority were willing to use it if a program is going to adopt by their company. In analysis, different personal characteristics were found for three timber buyer groups: qualified, neutral and reluctant. Qualified buyers were the largest one, about half of the buyers belonging to this group. The greatest barriers to adopting a positive attitude to computer visualisation turned out to be weak computer skills and a general lack of interest in computer use. On the other side, it was found that organisational factors did not influence the buyers’ computer skills or attitudes towards visualisation. The results of this study can be utilised by timber buying organisation in ensuring the successful adoption of a new computer system.
  • Palander, Faculty of Forestry, University of Joensuu, P.O. Box 111, FIN-80101 Joensuu, Finland E-mail: teijo.palander@joensuu.fi (email)
  • Turunen, Faculty of Forestry, University of Joensuu, P.O. Box 111, FIN-80101 Joensuu, Finland E-mail: kt@nn.fi
  • Laukkanen, Faculty of Forestry, University of Joensuu, P.O. Box 111, FIN-80101 Joensuu, Finland E-mail: sl@nn.fi

Category : Review article

article id 546, category Review article
Teijo Palander, Mari Toivonen, Sanna Laukkanen. (2002). GroupWare and group decision support systems for wood procurement organisation. A review. Silva Fennica vol. 36 no. 2 article id 546. https://doi.org/10.14214/sf.546
Keywords: collaboration; teamwork-based organisation; group decision-making; communication
Abstract | View details | Full text in PDF | Author Info
Many kinds of decision support systems (DSSs) have been suggested for use of wood procurement organisations, but few meet the real needs of team managers in group decision-making process. Therefore, it has been concluded that the important features of group decision support systems (GDSSs) should be developed for teamwork-based organisations. Electronic meeting systems (EMSs), Computer-aided Visualisations (CAVs) and heuristics as well as other numerical approaches as combined with optimisation seem to be some of the most promising elements of GroupWare, because decisions are made in distributed groups and they deal with human behaviour. Relations between GDSSs and spontaneous decision conferencing (SDC) for modern organisations are also discussed, and suggestions for future research of management approaches are also given.
  • Palander, University of Joensuu, Faculty of Forestry, Box 111, FIN-80101 Joensuu, Finland E-mail: teijo.palander@forest.joensuu.fi (email)
  • Toivonen, University of Joensuu, Faculty of Forestry, Box 111, FIN-80101 Joensuu, Finland E-mail: mt@nn.fi
  • Laukkanen, University of Joensuu, Faculty of Forestry, Box 111, FIN-80101 Joensuu, Finland E-mail: sl@nn.fi

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