Christer Carlsson

Åbo Akademi University · Institute for Advanced Management Systems Research

Objectives: To investigate whether and how PA tracker application use supports PA behavior among older adults during the first 24 months of use. Methods: The changes in PA levels (i.e., time spent in different PA intensities) and between PA categories (i.e., low, moderate, or high based on total PA) were examined between three different time point...

There is consensus in health studies that regular physical activities of sufficient intensity and duration contribute to better health both in the short and long term. We have worked on getting young elderly, the 60–75 years age group, to adopt and include physical activities as part of their daily routines. One reason for addressing young elderly...

Background: The global population is aging and at the same time life expectancy at older ages is improving. Physical activity (PA) can ward off age-related illness and frailty. PA also aids in upkeeping the ability to function and contributes to better quality of life during senior years. However, insufficient PA is a global problem. In Finland, wh...

Background: DigitalWells (https://www.digitalwells.fi) research and development program is carried out during 2019–2021 in Finland. DigitalWells aims to recruit over 1000 participants from the young elderly age group (60–75years) during 2019–2021 and then expand and continue as a national multi-year program. The main purpose is to promote the forma...

Managerial tasks carry latent needs for support to do a better job; classical DSS had at its core the approach to support, not replace. We worked out a DSS called Woodstrat for strategic planning and management and could verify—in full-scale implementation—the DSS characteristics Sprague worked out and most of the DSS benefits Keen had found. We al...

There is consensus in health studies that regular physical activities of sufficient intensity and duration contribute to better health both in the short and long term. In an ongoing research program, we focus on getting the young elderly, the 60-75 years age group, to adopt and include physical activities as part of their daily routines. One reason...

The ageing population is a growing priority area for policy makers and healthcare providers worldwide. Life expectancy is improving, but at the same time, insufficient physical activity threatens older age. Thus, an important question arises: how to improve the probability of people living a healthy and active life in older age. One potential solut...

Physical activity (PA) programs are useful to help young elderly stay in good shape for their senior years. These programs should be sustainable, as this would keep the users active for months and years. A PA program should build on activities that users find meaningful and/or best suited for their history of sports and exercise as well as their pr...

Health recommendations state that for young elderly systematic physical activities at moderate intensity for at least 150 minutes per week are required to help them stay in good shape for their senior years. We have found that young elderly readily gets started with a physical activity (PA) program but there is some challenge to make them stay with...

In the last decade, the fuzzy pay-off method has emerged as a widely used alternative approach for real option valuation thanks to its simplicity that makes it easily approachable by practitioners from various application domains. In this study, a new direction for real option valuation is pursued by proposing a granular fuzzy pay-off method. We mo...

The high spread of Internet and social networks have completely changed the way that Group Decision Making methods are designed, developed and implemented. Experts now operate in environments where a large amount of information is available and new ideas and participants can appear at any time; this results in a dynamically changing decision enviro...

The context we address is the digitalization of industry and industrial processes. Digitalization brings enhanced logistics network and value chain integration, which are effective instruments to meet increasing competition and slimmer margins for productivity and profitability. Digitalization also brings pronounced requirements for effective plann...

The determination of ordered weighted averaging (OWA) operator weights is a very important issue of applying the OWA operator for decision making. One of the first approaches, suggested by O’Hagan, determines a special class of OWA operators having maximal entropy of the OWA weights for a given level of orness; algorithmically it is based on the so...

The context to be addressed is the digitalization of industry and industrial processes. Digitalization brings enhanced customer relationships and value‐chain integration, which are effective instruments to meet increasing competition and slimmer margins for productivity and profitability. Digitalization also brings more pronounced requirements for...

Classical management science is making the transition to analytics, which has the same agenda to support managerial planning, problem solving and decision making in industrial and business contexts but is combining the classical models and algorithms with modern, advanced technology for handling data, information and knowledge. In work with manager...

Classical management science is making the transition to analytics, which has the same agenda to support managerial planning, problem solving and decision making in industrial and business contexts but is combining the classical models and algorithms with modern, advanced technology for handling data, information and knowledge. We run a knowledge m...

Our focus is on digital wellness services for the “young elderly” (the 60–75 years old) age group and we are working out ways to turn the adoption and use of the services to sustainable wellness routines. Wellness routines will help young elderly people to improve and maintain their independence and their functional capacity. The interest for digit...

The proportion of ageing citizens is high and increasing in most EU countries and there is a growing political pressure to make sure that the costs for the elderly care programs do not grow out of bounds. The focus of the ageing population programs is at the 75+ age group. The younger age group – the “young elderly” that is the focus in our researc...

The context we address is digitalisation and we want to make the case for decision analytics as one of the key drivers to both meet the challenges from big data/fast data and to work out the new possibilities we are getting to mobilise knowledge, i.e. to make tacit knowledge explicit and to make it accessible and usable for automated, intelligent s...

Paper machines are very complex production systems, but their scope is simple: they consume materials and resources, called factors, to produce paper, which in turn can be described by its characteristics. In this paper, a decision support system is developed in cooperation with an industrial partner to help them with operational decision making wh...

The appearance of Web 2.0 and mobile technologies, the increase of users participating on the Internet and the high amount of available information have created the necessity of designing tools capable of making the most out of this environment. In this paper, the design of an Android application that is capable of aiding some experts in carrying o...

Obtaining good classification results using supervised learning methods is critical if we want to obtain a high level of precision in the classification processes. The training data used for the learning process plays a very important role in achieving this objective. Therefore, it is important to represent the data in a way that best expresses its...

The ageing population of Europe is a concern for political decision makers and visions on how to deal with the issues are being debated. The issues raised concern elderly people, the age group 75-90 years, but not much thought is given the young elderly-the age groups 60-75 years-as the serious age-related problems are not visible among them. Never...

The ageing population of Europe is a concern for political decision makers as the ageing population by 2020 will represent very large groups of people (18-23% of the population in most EU countries). The issues raised concern elderly people, the age group 75-90 years, as their need for health and social care is expected to grow beyond what national...

Process interruptions in (very) large production systems are difficult to deal with. Modern processes are highly automated; data is collected with sensor technology that forms a big data context and offers challenges to identify coming failures from the very large sets of data. The sensors collect huge amounts of data but the failure events are few...

Patent-related decision-making tasks are essentially equivalent to justifying investment opportunities, which requires the estimation of initial cost and potential future benefits and a valuation model that can effectively exploit them. This article reviews three conventional patent valuation models and identifies four major issues that hamper thei...

Patent-related decision-making tasks are essentially equivalent to justifying investment opportunities, which requires the estimation of initial cost and potential future benefits and a valuation model that can effectively exploit them. This article reviews three conventional patent valuation models and identifies four major issues that hamper thei...

The current development of the Semantic Web has created an increasing demand for methods and systems that can make use of imprecise information. As the amounts of data collected constantly grows, it will not be feasible to overlook imprecise data. We show that a combination of mobile technology and fuzzy ontology with group decision making support...

In many industrial contexts, knowledge and data provided by experts are imprecise as there seems to be an understanding that “experts do not need precise details as they understand anyway what is meant”. The imprecision inherent in the knowledge that experts acquire in their practice require decision support tools that can be tailored to the specif...

Nowadays, smartphones have become indispensable items for everybody. Thanks to them, people can communicate and access Internet at any time regardless of where they are located. New smartphones belonging to a high amount of labels and with different features and prices keep appearing constantly in the market. This way, there is a need of tools that...

Studies in the process industry (and also common sense) show that the most cost effective way to keep produc-tion processes running is through predictive maintenance, i.e. to carry out optimal maintenance actions just in time before a process fails. Modern processes are highly auto-mated; data is collected with sensor technology that forms a big da...

Switching systems are dynamical systems which can switch between a number of modes characterized by different dynamical behaviors. Several approaches have recently been presented for experimental identification of switching system, whereas studies on real-world applications have been scarce. This paper is focused on applying switching system identi...

Nowadays, smartphones have become indispensable items for everybody. Thanks to them, people can communicate and access Internet at any time regardless of where they are located. New smartphones be-longing to a high amount of labels and with different features and prices keep appearing constantly in the market. This way, there is a need of tools tha...

The added value of mobile services is decided by the context in which they are used. In this paper, the authors study how the context-of-use influences the intention to adopt mobile messaging, entertainment and social media services. While doing so, the authors compare the intended use between males and females. The results are based on a large sca...

In this paper we will discuss Nokia’s struggle to find a sustainable approach to the Smartphone market. The findings are based on (i) a review of Nokia’s history, and specifically on how Nokia dealt with introducing new, more or less smart handsets, (ii) on interviews with managers from Nokia and (iii) on data collected on mobile phone usage in 200...

The DA/MS/SS Track is concerned first and fore-most with emerging managerial and organizational decision-making strategies, processes, tools, technologies, services and solutions in the Digital Age. This track has 4 interrelated themes. First theme, Analytics, focuses on decision making processes, tools and technologies. Mobile services focus on de...

Process interruptions are carried out either automatically by monitoring and control systems that react to deviations from standards or by operators reacting to anomalies or incidents. Process interruptions in (very) large production systems are difficult to trace and to deal with; an extended stop is also very costly and solutions are sought to fi...

In IS research we live with positivistic roots which have recently been criticized as focused on "singular, independently existing reality that is more or less given, and undergoing linear changes within a four-dimensional space". This is what we according to prevailing norms need to do in order to get valid research results in empirically oriented...

In this paper, we examine why mobile R&D prototypes are not being implemented. To do so, we formulated propositions, moving from a macro-economic view on innovation, via innovation strategies to explanations that focus on artifact design and the underlying business models. We concluded that in the design process the focus is on technology and user...

Involving many people in decision making does not guarantee success. In practice, there are always individuals who try to exert pressure in order to persuade others who could easily be influenced. In these situations, classical group decision making models fail. Thus, there is still the necessity of developing tools to help users reach collective d...

Despite the penetration of mobile phones in the world the number of mobile services in actual use is-besides voice calls and SMS-rather few. In the study at hand, the authors describe users of mobile phones and mobile services and build the basis for segmentation of the consumer market based on a large random sample of the population. Selecting the...

The main purpose of a Group Decision Making model is to reach a consensual solution as quickly as possible by decreasing the gap between the perceptions of different decision makers. The perception of the decision makers depends on the various relations between alternatives and attributes. As a real life example, one can mention the present problem...

We present a probabilistic and a possibilistic model for assessing the risk of a service level agreement for a computing task in a cluster/grid environment. These models can also be applied to cloud computing. Using the predictive probabilistic approach we develop a framework for resource management in grid computing, and by introducing an upper li...

Purpose The purpose of this conceptual paper is to explore the meaning of cloud computing for mobile communication. The paper answers the question “what is mobile cloud computing?” and how is it related to the generic cloud computing concept? Design/methodology/approach This is an explanatory conceptual paper, based on literature review and explor...

The DA/MS/SS Track is concerned first and fore-most with emerging managerial and organizational decision-making strategies, processes, tools, technologies, services and solutions in the Digital Age. This track has 4 interrelated themes. First theme, Analytics, focuses on decision making processes, tools and technologies. Mobile services focus on de...

Paper machines are extremely complex systems which require a deep knowledge of the relations between levels of usage of factors and characteristics of the process/final product. In this paper we propose to capture the tacit knowledge of experts in the form of a fuzzy ontology. Based on the fuzzy ontology, we introduce a knowledge based system which...

Knowledge mobilization is a transition from the prevailing knowledge management to a new methodology through some innovative methods for knowledge representation, formation, and development and for knowledge retrieval and distribution. The context is industrial processes and finding solutions to complex problems that arise and for which at least pa...

The title of this contribution to On Fuzziness has a history and a reason that bridges the past, the present and the future. The history is a paper I wrote called “On the Relevance of Fuzzy Sets in Management Science Methodology” which was published in an edited book on Fuzzy Sets and Decision Analysis (H. J. Zimmermann, L. A. Zadeh and B. R. Gaine...

Despite the penetration of mobile phones in the world the number of mobile services in actual use is – besides voice calls and SMS – rather few. In the study at hand, the authors describe users of mobile phones and mobile services and build the basis for segmentation of the consumer market based on a large random sample of the population. Selecting...

Analytics has a similar agenda as management science and is working with the same industrial and business context to support managerial planning, problem solving and decision making. Analytics has a broader scope in terms of methods - besides models and algorithms it also works with statistical methods and advanced technology for handling data, inf...

In this paper we introduce an interval-valued mean for interval-valued fuzzy numbers. We also define a variance for interval-valued fuzzy numbers. We discuss some basic properties of the new concepts. The mean value and variance can be utilized as a ranking method for interval-valued fuzzy numbers.

Knowledge mobilisation is a transition from the prevailing knowledge management technology that has been widely used in industry for the last 20 years to a new methodology and some innovative methods for knowledge representation, formation and development and for knowledge retrieval and distribution. Knowledge mobilisation aims at coming to terms w...

In this paper we generalize the principles of possibilistic mean value, variance, covariance and correlation of fuzzy numbers to a more general class of fuzzy subsets of the real line: to quasi fuzzy numbers.

Introduction to Advances in Teaching and Learning Technologies Minitrack

Introduction to Advances in Teaching and Learning Technologies Minitrack

Introduction to Advances in Teaching and Learning Technologies Minitrack

Export Date: 18 July 2012, Source: Scopus, Art. No.: 6108505

The process of information aggregation appears in many applications related to the development of intelligent systems. In 1988 Yager introduced a new aggregation technique based on the ordered weighted averaging operators (OWA) [338]. The determination of ordered weighted averaging (OWA) operator weights is a very important issue of applying the OW...

Fuzzy ontologies have been proposed as a solution for addressing semantic meaning in an uncertain and inconsistent world. As with fuzzy logic, reasoning is approximate rather than precise. The aim is to avoid the theoretic pitfalls of monolithic ontologies, facilitate interoperability between different and independent ontologies [112], and provide...

This chapter may appear to deviate from the central theme of the book. Nevertheless, we will show - briefly - that fuzzy logic and fuzzy ontology may have a key role to play in the design of the next generation of mobile value services. Mobile technology is one of the most important technologies in the history of humankind with now more than 5 bi...

Fuzzy sets were introduced by Zadeh [351] in 1965 to represent/manipulate data and information possessing nonstatistical uncertainties. It was specifically designed to mathematically represent uncertainty and vagueness and to provide formalized tools for dealing with the imprecision intrinsic to many problems. Fuzzy sets serve as a means of represe...

In 1952 Markowitz [247] published his pioneering work which laid the foundation of modern portfolio analysis. The mean-variance methodology for the portfolio selection problem has played an important role in the development of modern portfolio selection theory. It combines probability with optimization techniques to model the behavior investment u...

In traditional investment planning investment decisions are usually taken to be now − or − never, which the firm can either enter into right now or abandon forever. The decision on to close/not close a production plant has been understood to be a similar now-or-never decision for two reasons: (i) to close a plant is a hard decision and senior manag...

The Knowledge Mobilization project (KNOWMO BILE) has been a joint effort by Institute for Advanced Management Systems Research, Abo Akademi University and VTT Technical Research Centre of Finland. Its goal was to better "mobilize" knowledge stored in heterogeneous databases for users with various backgrounds, geographical locations and situations....

This article has two objectives: (1) to draw an international comparison regarding the acceptance of mobile travel services in three countries with different profiles when it comes to travelling and mobile telecommunications, and (2) to extend relevant literature on mobile applications, more specifically travel services, by including context-relate...

In this paper we will study the intersection of conceptual frameworks that deal with travel, information search and social media, in order to investigate the presence of social media in travel information search. Social media could become a communication channel for the hospitality industry. This may offer some benefits for the tourists and travell...

There is an increasing demand for computing power in scientific and engineering applications which has motivated the deployment of high performance computing (HPC) systems that deliver tera-scale performance. Current and future HPC systems that are capable of running large-scale parallel applications may span hundreds of thousands of nodes. In 2006...

Even if m-learning is spreading rapidly in many regions of the world, research addressing the driving factors of m-learning adoption is in short supply. Built on the Technology Acceptance Model, this paper proposes a hypothesized model of m-learning adoption. Employing structural equation modeling technology, the model was assessed based on the dat...

IC3K 2010 2nd International Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Proceedings, 251 - 256 This paper defines and applies a fuzzy keyword ontology to annotate and search event reports in a database. The ontology is developed by superimposing a fuzzy partonomy on fuzzy classifications. The claim is that fuz...

There is an increasing demand for computing power in scientific and engineering applications which has motivated the deployment of high performance computing (HPC) systems that deliver tera-scale performance. Current and future HPC systems that are capable of running large-scale parallel applications may span hundreds of thousands of nodes. In 200...

In the study at hand we describe users of mobile phones and mobile services, based on a random sample describing the Finnish general population. A lot of attention has been paid recently to investigating users of mobile phones because mobile services demand has not developed as expected in the Finnish market. We add to this body of knowledge throug...

In this paper, the focus is on finding an answer to the question why Mobile R&D prototypes are not being implemented. To find an explanation, we formulated propositions, moving from a macro-economic view on innovation, via innovation strategies to explanations that focus on the design of the artefact and the supporting business models. We concluded...

We study the extent to which regulatory and market-related conditions in Finland, Greece and the Netherlands explain the uptake of advanced mobile data services in these countries. By comparing data from a common survey, models are tested through structural equation modelling. We find significant differences and communalities in the factors affecti...

Knowledge mobilisation is a transition from the prevailing knowledge management technology to a new methodology and some innovative methods for knowledge representation, formation and development and for knowledge retrieval and distribution. We show that fuzzy ontology will be useful to represent real world knowledge and that approximate reasoning...

Group decisions are hard if they are non-routine and we lack intuition about good, let alone optimal, solutions. This feature usually reflects unfamiliar elements, or value judgments about which actors disagree, or core uncertainties and complexities, which may be addressed by advanced computing methods, but only at unreasonable costs in time or re...

We developed a hybrid probabilistic and possibilistic technique for assessing the risk of an SLA for a computing task in a cluster/grid environment. The probability of success with the hybrid model is estimated higher than in the probabilistic model since the hybrid model takes into consideration the possibility distribution for the maximal number...

In order to find a common conceptual framework to address the problems of representation and management of imprecise and vague knowledge in a semantic web we have analysed the role played by information granulation in human cognition. Fuzzy granulation underlies the basic concepts of linguistic variable and fuzzy if-then rules, which play a major r...

We developed a hybrid probabilistic and possibilistic technique for assessing the risk of an SLA for a computing task in a cluster/grid environment. The probability of success with the hybrid model is estimated higher than in the probabilistic model since the hybrid model takes into consideration the possibility distribution for the maximal number...

In traditional investment planning investment decisions are usually taken to be now-or-never, which the firm can either enter into right now or abandon forever. The decision on to close/not close a production plant has been understood to be a similar now-or-never decision for two reasons: (i) to close a plant is a hard decision and senior managemen...

In this study we describe users of mobile phones and mobile services, based on three random samples from the years 2007, 2008 and 2009 which are valid representations of the Finnish general population. We carried out a detailed analysis of the sample for 2009 and used the results to do a first exploratory segmentation of Finnish mobile service user...

The closing/not closing decisions for a production plant normally worries senior management as their decision will be scrutinized and criticized by many groups of influential actors. The shareholders will react negatively if they find out that share value will decrease (closing a profitable plant, closing a plant which may turn profitable, or not c...

In probability theory the expected value of functions of random variables plays a fundamental role in defining the basic characteristic measures of probability distributions. For example, the variance, covariance and correlation of random variables can be computed as the expected value of their appropriately chosen real valued functions. In possibi...

In 2001 we introduced the notions of possibilistic mean value and variance of fuzzy numbers. In this paper we give a short survey of these notations and show some examples of their application from the literature.

We will consider an approximation to the probability that a particular computing task in a grid is successful. This happens if there will always be at least a single idle node available in the system in the case of a node failure. In this paper we will show a lower limit for the probability of success of a computing task in a grid.

For a number of years, Finland was considered one of the most successful countries in Europe in terms of the adoption and use of mobile services. In this paper, we focus on trends in service adoption, by discussing the development in the Finnish telecommunication market and trends in actual and future user behaviour with regard to three groups of m...

This paper presents a new LP (Linear Programming) model to solve a tactical wood procurement and harvesting problem. This optimization problem occurs in several wood supply chains today. The goal with the optimization is to find a 12 month procurement, harvesting and transportation plan that minimizes total costs. The case study is found in one of...