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Prof. Dr. Jari Kaivo-oja
1. Finland Futures Research Centre, University of Turku, Turku, Finland

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0 Clean Technology
0 Green Economy
0 sustainability science
0 Transition paths towards sustainability
0 Methodologies of futures studies linked to sustainability challenges

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Journal article
Published: 01 June 2021 in Economics and Culture
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Research purpose. The study is focused on the Covid-19 pandemic crisis in the European Union. This study investigates the current driving trends and trade-offs of the Covid-19 pandemic phenomenon and social inclusion trends in the European countries. Design / Methodology / Approach. The methodology is based on conventional statistical index theory and statistics. The study investigates cases, deaths, and key Covid-19 statistics. The research design combines key social inclusion statistics of the Eurostat and the official Covid-19 statistics of the European Centre for Disease Prevention and Control. Covid-19 data is updated to 1.3.2021. Social inclusion variables are selected from the Eurostat database. Social inclusion variables cover poverty, material deprivation, income distribution, income, quality of life, employment, and education matters. Scattering matrices on the relationships among the key variables under review are reported. Findings. The study reports basic trends of Covid-19 cases, deaths, deaths/cases and calculates these Covid-19 trends in 29 European countries. This study reports trade-off analyses of key social inclusion trends of the European Union countries. Key indicators are linked to economic income, income distribution, poverty, gender issues, and housing statistics. The 19 key indicators of social inclusion are analysed and reported with Covid-19 data. Statistical correlation analysis tables (2a and 2b) are calculated with key European social inclusion indicators. The study reveals some relevant aspects of the social inclusion policy of the European Union about the ongoing Covid-19 crisis and exit strategies. Originality / Value / Practical implications. This conference paper demonstrates novel and exciting possibilities of integrated data pooling (The Eurostat and the European Centre for Disease Prevention and Control). Original results of key trend drivers are provided by the authors. Value-adding and interesting results are delivered for European governments and the business community. Results and findings of the study can be used in the planning of economic recovery and Covid-19 exit policies in the member states of the European Union.

ACS Style

Jari Kaivo-Oja; Samuli Aho; Undefined Lauraéus. European COVID -19 Pandemic Data and Social Inclusion Policy in the European Union: Drivers-Driven Trend Analysis. Economics and Culture 2021, 18, 82 -99.

AMA Style

Jari Kaivo-Oja, Samuli Aho, Undefined Lauraéus. European COVID -19 Pandemic Data and Social Inclusion Policy in the European Union: Drivers-Driven Trend Analysis. Economics and Culture. 2021; 18 (1):82-99.

Chicago/Turabian Style

Jari Kaivo-Oja; Samuli Aho; Undefined Lauraéus. 2021. "European COVID -19 Pandemic Data and Social Inclusion Policy in the European Union: Drivers-Driven Trend Analysis." Economics and Culture 18, no. 1: 82-99.

Journal article
Published: 01 June 2021 in Economics and Culture
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Research purpose. The study is focused on the expected market dynamics of global cobotics markets. This study investigates the current market structure of the global cobotics market. The scientific aim of the research is to report the first data-based market structure analysis of the global cobotics market with the HHI index and with the LKI index analysis. With analysis we are able to show the diversification rate of the global cobotics market. Design / Methodology / Approach. The methodology is based on conventional statistical index theory and statistics. The methodology is the calculation of the Herfindahl-Hirchman Index and the Lauraéus-Kaivo-oja Index. The authors compare the results of these two methodologies. Findings. The Herfindahl-Hirschman Index (HHI) and the Lauraéus-Kaivo-oja Index are statistical measures of market concentration, and they can be used to determine market competitiveness. This paper demonstrates novel data analytics possibilities of new market data collected by the Statzon, Ltd with various comparative analytical results and findings. By our analyses we can help multiple industrial stakeholders make faster decisions and better strategic plans with the easiest and fastest access to accurate, reliable, and up-to-date cobotics industry statistics, forecasts, and insights. The finding is that this study reveals the current market structure of global cobotics. It is a novel finding and result. Originality / Value / Practical implications. This paper demonstrates the novel and exciting possibilities of transparent index calculation tools. The authors provide original results. Authors underline that extra value added to stakeholders and customers will be provided by joint data pooling strategy of various data sources, which is a key approach of this paper. Real-time market structure analyses create reliable and knowledge-based information for decision-makers and stakeholders of the global cobotics industry.

ACS Style

Theresa Lauraéus; Jari Kaivo-Oja; Mikkel S. Knudsen; Undefined Kuokkanen. Market Structure analysis with Herfindahl-Hirchman Index and Lauraéus-Kaivo-Oja Indices in the Global Cobotics Markets. Economics and Culture 2021, 18, 70 -81.

AMA Style

Theresa Lauraéus, Jari Kaivo-Oja, Mikkel S. Knudsen, Undefined Kuokkanen. Market Structure analysis with Herfindahl-Hirchman Index and Lauraéus-Kaivo-Oja Indices in the Global Cobotics Markets. Economics and Culture. 2021; 18 (1):70-81.

Chicago/Turabian Style

Theresa Lauraéus; Jari Kaivo-Oja; Mikkel S. Knudsen; Undefined Kuokkanen. 2021. "Market Structure analysis with Herfindahl-Hirchman Index and Lauraéus-Kaivo-Oja Indices in the Global Cobotics Markets." Economics and Culture 18, no. 1: 70-81.

Journal article
Published: 16 January 2021 in Sustainability
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The doughnut economy is a new approach for the inclusion of planetary boundaries and social foundation in the development of societies. The Sustainable Development Goals of the United Nations (UN) determine another view for development targets. The developed sustainability window approach provides a means for operationalization and quantification of the doughnut economy. The developed method calculates minimum economic development to guarantee sustainable social development and maximum economic development not to exceed environmental sustainability. The developed method, advanced suitability analysis (ASA) doughnut, is illustrated with case data from Thailand. The sustainability doughnut for Thailand has been calculated for both weak and strong sustainability criteria. It seems that strong sustainability is a too strict requirement regarding several environmental dimensions of development while the weak sustainability criteria are fulfilled. The developed method and tool are flexible and can be used for comparative analysis of different countries or regions, for dynamic analysis of sustainability development, for gap analysis of the required improvement of environmental or social efficiency, and analysis of degrowth possibilities. The selection of indicators for the analyses and their reliability is crucial for the validity of the results and usefulness in policy planning.

ACS Style

Jyrki Luukkanen; Jarmo Vehmas; Jari Kaivo-Oja. Quantification of Doughnut Economy with the Sustainability Window Method: Analysis of Development in Thailand. Sustainability 2021, 13, 847 .

AMA Style

Jyrki Luukkanen, Jarmo Vehmas, Jari Kaivo-Oja. Quantification of Doughnut Economy with the Sustainability Window Method: Analysis of Development in Thailand. Sustainability. 2021; 13 (2):847.

Chicago/Turabian Style

Jyrki Luukkanen; Jarmo Vehmas; Jari Kaivo-Oja. 2021. "Quantification of Doughnut Economy with the Sustainability Window Method: Analysis of Development in Thailand." Sustainability 13, no. 2: 847.

Review
Published: 18 August 2020 in Sustainability
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A green economy that simultaneously promotes environmental sustainability, social inclusiveness, and economic growth is expected to benefit the heavily resource-dependent least developed countries. Yet, internationally, there is very little empirically based research on how the “green development” agenda translates into natural resource management policies in the least developed countries. This paper examines the implementation of green economy policies at the national level in the energy and forestry sectors in the Lao PDR and Cambodia. Both countries have adopted green growth targets; however, in terms of natural resources management, two contradictory processes have taken place during the past decade. While there have been some initiatives to decentralize natural resource management by enhancing the role of local communities role, such as community-based forest or fishery management, the far greater trend has been the opening up of the economies of the Lao PDR and Cambodia to large-scale investments by multinational enterprises. Large-scale hydropower projects and increasing deforestation pose challenges to more sustainable natural resource management efforts. This article is based on an analysis of the national green economy strategies and expert interviews with the government, academia, private sector and international and national development organizations. Focusing on the energy and forestry sectors, but also analysing the national green economy strategies as a whole, our analysis sheds light on the choices made in the national development versus green economy strategies. While green economy thinking rests on strong state regulation, the policies are often formulated within a complex dynamic of donor and investor interests. The achievement of a green economy depends on the state; thus, it should steer investments to ecologically less harmful industries and ensure social inclusiveness in land-use decisions. Our results show, however, that implementing a green economy is far more complex. Despite the quest for synergies, at the sectoral level there are still many unaddressed trade-offs between, for example, energy sources and forms of land use.

ACS Style

Marketta Vuola; Mika Korkeakoski; Noora Vähäkari; Michael Dwyer; Nicholas Hogarth; Jari Kaivo-Oja; Jyrki Luukkanen; Eliyan Chea; Try Thuon; Keophousone Phonhalath. What is a Green Economy? Review of National-Level Green Economy Policies in Cambodia and Lao PDR. Sustainability 2020, 12, 6664 .

AMA Style

Marketta Vuola, Mika Korkeakoski, Noora Vähäkari, Michael Dwyer, Nicholas Hogarth, Jari Kaivo-Oja, Jyrki Luukkanen, Eliyan Chea, Try Thuon, Keophousone Phonhalath. What is a Green Economy? Review of National-Level Green Economy Policies in Cambodia and Lao PDR. Sustainability. 2020; 12 (16):6664.

Chicago/Turabian Style

Marketta Vuola; Mika Korkeakoski; Noora Vähäkari; Michael Dwyer; Nicholas Hogarth; Jari Kaivo-Oja; Jyrki Luukkanen; Eliyan Chea; Try Thuon; Keophousone Phonhalath. 2020. "What is a Green Economy? Review of National-Level Green Economy Policies in Cambodia and Lao PDR." Sustainability 12, no. 16: 6664.

Journal article
Published: 04 October 2019 in Journal of Cleaner Production
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Given the overwhelming increase in technological advancements and global warming concerns, our study attempts to investigate the predictive powers of green human resource management (GHRM) bundles and green team creativity on green product innovation. Additionally, we examine the roles of technological turbulence and environmental dynamic capability. We have administered a cross-sectional (time lag) survey design with 229 respondents from 31 manufacturing organisations in Malaysia and employed the partial least square path modelling (SmartPLS3) for data analysis. Results indicate that technological turbulence, green recruitment and selection and green training, involvement and development are positive predictors of green team creativity. Green performance and compensation negatively predict green team creativity. While green team creativity positively predicts green product innovation, environmental dynamic capability negatively predicts green product innovation. Technological turbulence reinforces the positive impact of green recruitment and selection on green team creativity and dampens the positive impact of green training, involvement and development on green team creativity. Furthermore, green team creativity is a complementary and competitive mediator. By simultaneously investigating the predictive powers of technological turbulence, green team creativity and environmental dynamic capability in our study, we offer novel insights that extend traditional HRM conceptualisations to reflect a more environmentally sustainable GHRM framework. Policy implications and future directions are also discussed.

ACS Style

Samuel Ogbeibu; Jude Emelifeonwu; Abdelhak Senadjki; James Gaskin; Jari Kaivo-Oja. Technological turbulence and greening of team creativity, product innovation, and human resource management: Implications for sustainability. Journal of Cleaner Production 2019, 244, 118703 .

AMA Style

Samuel Ogbeibu, Jude Emelifeonwu, Abdelhak Senadjki, James Gaskin, Jari Kaivo-Oja. Technological turbulence and greening of team creativity, product innovation, and human resource management: Implications for sustainability. Journal of Cleaner Production. 2019; 244 ():118703.

Chicago/Turabian Style

Samuel Ogbeibu; Jude Emelifeonwu; Abdelhak Senadjki; James Gaskin; Jari Kaivo-Oja. 2019. "Technological turbulence and greening of team creativity, product innovation, and human resource management: Implications for sustainability." Journal of Cleaner Production 244, no. : 118703.

Conference paper
Published: 12 June 2019 in Computer Supported Cooperative Work and Social Computing
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We’re in the midst of a significant transformation regarding the way we produce products and deliver services thanks to the digitization of manufacturing and new connected supply-chains and co-creation systems. This article elaborates Digital Twins Approach to the current challenges of knowledge management when Industry 4.0 is emerging in industries and manufacturing. Industry 4.0 approach underlines the importance of Internet of Things and interactions between social and physical systems. Internet of Things (and also Internet of Services and Internet of Data) are new Internet infrastructure that marries advanced manufacturing techniques and service architectures with the I-o-T, I-o-S and I-o-D to create manufacturing systems that are not only interconnected, but communicate, analyze, and use information to drive further intelligent action back in the physical world. This paper identifies four critical domains of synergy challenge: (1) Man-to-Man interaction, (2) Man-to-Machine interaction, (3) Machine-to-Man interaction and finally (4) Machine-to-Machine interaction. Key conclusion is that new knowledge management challenges are closely linked to the challenges of synergic interactions between these four key interactions and accurate measurements of synergic interaction.

ACS Style

Jari Kaivo-Oja; Osmo Kuusi; Mikkel Stein Knudsen; Theresa Lauraeus. Digital Twins Approach and Future Knowledge Management Challenges: Where We Shall Need System Integration, Synergy Analyses and Synergy Measurements? Computer Supported Cooperative Work and Social Computing 2019, 271 -281.

AMA Style

Jari Kaivo-Oja, Osmo Kuusi, Mikkel Stein Knudsen, Theresa Lauraeus. Digital Twins Approach and Future Knowledge Management Challenges: Where We Shall Need System Integration, Synergy Analyses and Synergy Measurements? Computer Supported Cooperative Work and Social Computing. 2019; ():271-281.

Chicago/Turabian Style

Jari Kaivo-Oja; Osmo Kuusi; Mikkel Stein Knudsen; Theresa Lauraeus. 2019. "Digital Twins Approach and Future Knowledge Management Challenges: Where We Shall Need System Integration, Synergy Analyses and Synergy Measurements?" Computer Supported Cooperative Work and Social Computing , no. : 271-281.

E conceptual paper
Published: 10 May 2019 in Journal of Business Strategy
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Purpose This paper aims to extend the existing views of coopetition into the broader context of open coopetition. Design/methodology/approach The authors build on the literature about open innovation cooperation between competitors in the open-source software industry, which we generalize to show that open coopetition between competitors and third parties can be observed in other industries and institutional settings. Findings The authors outline a research program on the management challenges of open coopetition-related and argue that open coopetition can not only be observed between business rivals but also between partners from university, industry, government and further institutional backgrounds. Originality/value The authors introduce to so-far neglected roots of the emerging research program on open coopetition and extend the prevailing business focus of open coopetition research to also systematically include open coopetition between partners from business and other spheres of society.

ACS Style

Steffen Roth; Loet Leydesdorff; Jari Kaivo-Oja; Augusto Sales. Open coopetition: when multiple players and rivals team up. Journal of Business Strategy 2019, 41, 1 .

AMA Style

Steffen Roth, Loet Leydesdorff, Jari Kaivo-Oja, Augusto Sales. Open coopetition: when multiple players and rivals team up. Journal of Business Strategy. 2019; 41 (6):1.

Chicago/Turabian Style

Steffen Roth; Loet Leydesdorff; Jari Kaivo-Oja; Augusto Sales. 2019. "Open coopetition: when multiple players and rivals team up." Journal of Business Strategy 41, no. 6: 1.

E conceptual paper
Published: 12 November 2018 in Journal of Organizational Change Management
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Are entrepreneurial opportunities discovered or created? The debate around this question has crucial implications for successful organizational change management in the business world. The present conceptual paper transcends this debate by embedding the concept of the entrepreneurial opportunities within a Luhmannian systems – theoretical framework which accentuates the unique role of organization and change in the age of functional differentiation. The purpose of this paper is to show how the strategic navigation of the borders between function systems such as politics, science, education, religion, art, or, of course, economy leads to the discovery or creation new opportunities for both business and social entrepreneurship. The paper combines Niklas Luhmann’s theory of social differentiation with Kim and Mauborgne’s Blue Ocean Strategy. The key argument is that the alternative regimes of social differentiation, such as segmentation, centralization, stratification, and functional differentiation, create distinct pools of entrepreneurial opportunities to be discovered, created, and exploited by adequate business models. (Business) Organizations, therefore, need to strategically adjust the amount of attention they devote to the different forms of social differentiation. The argument is buttressed with illustrative examples of business models related to the regime of functional differentiation. A paradoxical finding is that the multifunctional business models which explicitly draw on the value creation potential of the most recent form of social differentiation, functional differentiation, remain little known even though they infuse business organizations with a unique capacity of new venture discovery and creation in the modern society. Multifunctional business models have so far remained unexplored in entrepreneurship theory and practice. This paper develops a first strategic approach to the discovery or creation of both multifunctional business models and a broader framework of multifunctional organization models.

ACS Style

Steffen Roth; Vladislav Valentinov; Jari Kaivo-Oja; Léo-Paul Dana. Multifunctional organisation models. Journal of Organizational Change Management 2018, 31, 1383 -1400.

AMA Style

Steffen Roth, Vladislav Valentinov, Jari Kaivo-Oja, Léo-Paul Dana. Multifunctional organisation models. Journal of Organizational Change Management. 2018; 31 (7):1383-1400.

Chicago/Turabian Style

Steffen Roth; Vladislav Valentinov; Jari Kaivo-Oja; Léo-Paul Dana. 2018. "Multifunctional organisation models." Journal of Organizational Change Management 31, no. 7: 1383-1400.

Conference paper
Published: 11 July 2018 in Programmieren für Ingenieure und Naturwissenschaftler
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Background: This paper’s focus is on the synergy in GDP (Gross Domestic Product) and GERD (Gross Expenditure Research and Development) interaction in G7 countries. It allows us to present an explorative analysis of the relationships between key variables (in this case GDP and GERD). Further, it allows a critical synergy analysis on the long-run dynamics of economies. In this article, we demonstrated the methodological power of combining synergy analysis and conventional benchmarking analysis. Method: This study is based on statistical synergy methodology. Data about the G7 countries (USA, Canada, Germany, France, UK, Japan and Italy) was collected from the World Bank. Research question: How can the decree of synergy and trade-off between GERD and GDP impact innovation and knowledge management at a macroeconomic level. Results: The benefits of the synergy methodology include that it provides essential information for economic and social policy-makers. It is a new tool for sustainability analysis. The evaluation of a synergy/trade-off proposed in this paper indicates only a possible and potential causality. However, it does not infer a causal relationship between the variables. Conclusions: Normally, experts and decision-makers expect that there is positive synergy between GERD and GDP. However, finally it is a purely empirical question to evaluate. Synergy dynamics is different among G7 countries. The United Kingdom has the highest synergy level and Japan has the lowest. UK, France and USA have the highest long-run synergy levels among G7 countries. Almost all countries have improved synergy levels between GDP and GERD in the long run which indicates harder competition in the field of global innovation ecosystems.

ACS Style

Jari Kaivo-Oja; Theresa Lauraeus; Jyrki Luukkanen. Economic Growth and Gross Domestic Expenditure on R&D in G7 Countries with Some Benchmarking with BRICS Countries: Long-Run Comparative Synergy Analyses. Programmieren für Ingenieure und Naturwissenschaftler 2018, 237 -248.

AMA Style

Jari Kaivo-Oja, Theresa Lauraeus, Jyrki Luukkanen. Economic Growth and Gross Domestic Expenditure on R&D in G7 Countries with Some Benchmarking with BRICS Countries: Long-Run Comparative Synergy Analyses. Programmieren für Ingenieure und Naturwissenschaftler. 2018; ():237-248.

Chicago/Turabian Style

Jari Kaivo-Oja; Theresa Lauraeus; Jyrki Luukkanen. 2018. "Economic Growth and Gross Domestic Expenditure on R&D in G7 Countries with Some Benchmarking with BRICS Countries: Long-Run Comparative Synergy Analyses." Programmieren für Ingenieure und Naturwissenschaftler , no. : 237-248.

Journal article
Published: 01 July 2018 in Energy Policy
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Climate change and global economic pressures are strong drivers for energy economies to transition towards climate-neutrality, low-carbon economy and better energy and resource efficiencies. The response to these pressures, namely the increased use of renewable energy, creates a set of new challenges related to supply-demand balance for energy policy and electricity system planning. This study analyses the emergent problems resulting from the renewable energy response. These complex aspects of change in the electricity system are analysed with a cross-impact model based on an expert-driven modeling process, consisting of workshops, panel evaluations and individual expert work. The model is then analysed using a novel computational cross-impact technique, EXIT. The objective of the study is to map the important direct drivers of change in the period 2017–2030 in electricity consumption and production in Finland, construct a cross-impact model from this basis, and discover the emergent and systemic dynamics of the modeled system by analysis of this model.

ACS Style

Juha Panula-Ontto; Jyrki Luukkanen; Jari Kaivo-Oja; Tadhg O'Mahony; Jarmo Vehmas; Seppo Valkealahti; Tomas Björkqvist; Timo Korpela; Pertti Järventausta; Yrjo Majanne; Matti Kojo; Pami Aalto; Pirkko Harsia; Kari Kallioharju; Hannele Holttinen; Sami Repo. Cross-impact analysis of Finnish electricity system with increased renewables: Long-run energy policy challenges in balancing supply and consumption. Energy Policy 2018, 118, 504 -513.

AMA Style

Juha Panula-Ontto, Jyrki Luukkanen, Jari Kaivo-Oja, Tadhg O'Mahony, Jarmo Vehmas, Seppo Valkealahti, Tomas Björkqvist, Timo Korpela, Pertti Järventausta, Yrjo Majanne, Matti Kojo, Pami Aalto, Pirkko Harsia, Kari Kallioharju, Hannele Holttinen, Sami Repo. Cross-impact analysis of Finnish electricity system with increased renewables: Long-run energy policy challenges in balancing supply and consumption. Energy Policy. 2018; 118 ():504-513.

Chicago/Turabian Style

Juha Panula-Ontto; Jyrki Luukkanen; Jari Kaivo-Oja; Tadhg O'Mahony; Jarmo Vehmas; Seppo Valkealahti; Tomas Björkqvist; Timo Korpela; Pertti Järventausta; Yrjo Majanne; Matti Kojo; Pami Aalto; Pirkko Harsia; Kari Kallioharju; Hannele Holttinen; Sami Repo. 2018. "Cross-impact analysis of Finnish electricity system with increased renewables: Long-run energy policy challenges in balancing supply and consumption." Energy Policy 118, no. : 504-513.

E conceptual paper
Published: 30 April 2018 in Kybernetes
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Purpose The purpose of the paper is to present three different contributions to a general model theory which the authors think as relevant to systems research based on systems theory, cybernetics and constructivism. This also implies that the three contributions are shown to be of use both in the study of systems that operate by models, as well as in the practice of designing models. Design/methodology/approach The text is conceptual and mainly of a descriptive and referring character. Besides the sections on the three contributions to a model theory, the authors have inserted sections that relate them to systems theory. This is also achieved by the help of some simple models. Findings The paper also points to models as important instruments in constructing and selecting information to observing systems, and the authors hope that the text can be helpful in developing better knowledge of how models work. Originality/value The text is about observing systems that observe by models, and that is probably a somewhat new perspective. It is hoped that the paper can be inspiring to further studies on this matter.

ACS Style

Sverre Moe; Jari Kaivo-Oja. Model theory and observing systems. Notes on the use of models in systems research. Kybernetes 2018, 47, 1690 -1703.

AMA Style

Sverre Moe, Jari Kaivo-Oja. Model theory and observing systems. Notes on the use of models in systems research. Kybernetes. 2018; 47 (9):1690-1703.

Chicago/Turabian Style

Sverre Moe; Jari Kaivo-Oja. 2018. "Model theory and observing systems. Notes on the use of models in systems research." Kybernetes 47, no. 9: 1690-1703.

Journal article
Published: 01 April 2018 in Futures
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As foresight and futures studies depend on the pertinence of our knowledge of the present and the past, this article tests whether the English language area may be adequately described as secularised and capitalist between 1800 and 2000. We are using the Google Ngram Viewer to chart and interpret time series plots of combined frequencies of pertinent keywords in the largest Internet book corpus, the Google Books corpus. The results suggest that the English language area is a secularised, politicised, scientificised, and ultimately also mediatised language area which has never been dominated by the economy. We conclude that the sample period may not be characterised as capitalist if we associate capitalism with any form of over-average importance or even dominance of the economy and suggest that popular social macro trend statements be regularly turned from implicit assumptions into explicit research questions so as to reduce the risk that inadequate trend assumptions are projected into the future.

ACS Style

Steffen Roth; Vladislav Valentinov; Arūnas Augustinaitis; Artur Mkrtichyan; Jari Kaivo-Oja. Was that capitalism? A future-oriented big data analysis of the English language area in the 19th and 20th century. Futures 2018, 98, 41 -48.

AMA Style

Steffen Roth, Vladislav Valentinov, Arūnas Augustinaitis, Artur Mkrtichyan, Jari Kaivo-Oja. Was that capitalism? A future-oriented big data analysis of the English language area in the 19th and 20th century. Futures. 2018; 98 ():41-48.

Chicago/Turabian Style

Steffen Roth; Vladislav Valentinov; Arūnas Augustinaitis; Artur Mkrtichyan; Jari Kaivo-Oja. 2018. "Was that capitalism? A future-oriented big data analysis of the English language area in the 19th and 20th century." Futures 98, no. : 41-48.

Journal article
Published: 14 March 2018 in Sustainability
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Understanding the linkages between multiple targets of Sustainable Development Goals (SDGs) may help to integrate different sectoral programmes and develop coherent cross-sectoral policy to explore synergies. Synergy is interaction among two or more actions, which will lead to an impact greater or less than the sum of individual effects. Therefore, synergy can be positive or negative (trade-off). This paper aims at developing an analytical framework to evaluate sectoral linkages and examine potential synergies and trade-offs among various SDGs’ goals and targets. Synergies and trade-offs related to energy access (SDG7), clean water and sanitation access (SDG6), food security and sustainable agriculture (SDG2) and poverty alleviation (SDG1) have been evaluated from the perspective of developing countries using examples from South Asia (Bangladesh, Nepal, and Sri Lanka) and Sub-Saharan Africa (Ghana, Ethiopia and Rwanda), and historical data for the period between 1990 and 2012. The analytical framework includes both qualitative and quantitative methods. Network analysis technique has been used for exploring the conceptual linkage among different indicators, and capturing the targets associated with SDGs. Advanced Sustainability Analysis (ASA) developed under the European framework programme has been used for quantifying the synergies and trade-offs among sustainability indicators. The analysis showed strong synergy among various SDG targets. Interestingly, the potential synergy differs from country to country and over time. Ghana and Sri Lanka had relatively higher potential synergy, whereas Rwanda and Nepal had relatively lower potential synergy among the various targets. Higher synergy values were evidenced in those cases where the policy have recognized and emphasized on linkages among cross-sectoral targets.

ACS Style

Brijesh Mainali; Jyrki Luukkanen; Semida Silveira; Jari Kaivo-Oja. Evaluating Synergies and Trade-Offs among Sustainable Development Goals (SDGs): Explorative Analyses of Development Paths in South Asia and Sub-Saharan Africa. Sustainability 2018, 10, 815 .

AMA Style

Brijesh Mainali, Jyrki Luukkanen, Semida Silveira, Jari Kaivo-Oja. Evaluating Synergies and Trade-Offs among Sustainable Development Goals (SDGs): Explorative Analyses of Development Paths in South Asia and Sub-Saharan Africa. Sustainability. 2018; 10 (3):815.

Chicago/Turabian Style

Brijesh Mainali; Jyrki Luukkanen; Semida Silveira; Jari Kaivo-Oja. 2018. "Evaluating Synergies and Trade-Offs among Sustainable Development Goals (SDGs): Explorative Analyses of Development Paths in South Asia and Sub-Saharan Africa." Sustainability 10, no. 3: 815.

Conference paper
Published: 12 July 2017 in Communications in Computer and Information Science
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The idea of the article is to integrate knowledge management thinking to triangulation logic. Triangulation logic can be seen as a quality control mechanism in the field of knowledge management. Triangulation logic can also see as a critical knowledge management mechanism, which helps integrate inductive and deductive thinking in scientific projects. Triangulation is a vehicle for cross validation when two or more distinct methods are found to be congruent and yield comparable data. Today various scholars have noted that qualitative and quantitative methods should be viewed as complementary rather than as rival approaches. In fact, most textbooks underscore the desirability of mixing methods given the strengths and weaknesses found in single mono-method designs. In this kind of scientific discussion, the triangulation logic, which integrates quantitative and qualitative methods, is a highly relevant knowledge management issue. Today future-oriented foresight research is mostly based on quantitative and qualitative analyses. The three key elements of foresight activity are diagnosis (hindsight), prognosis (foresight) and description (decision support). In order to integrate triangulation logic to these foresight activities, experts and knowledge management scientists must think carefully alternative strategies, how to build up logical link between triangulation logic and foresight activities. This article provides some new ideas, how these novel knowledge management strategies could be constructed, when we look KM issues from broader triangulation perspective.

ACS Style

Kaivo-Oja Jari; Lauraeus Theresa. Knowledge Management and Triangulation Logic in the Foresight Research and Analyses in Business Process Management. Communications in Computer and Information Science 2017, 228 -238.

AMA Style

Kaivo-Oja Jari, Lauraeus Theresa. Knowledge Management and Triangulation Logic in the Foresight Research and Analyses in Business Process Management. Communications in Computer and Information Science. 2017; ():228-238.

Chicago/Turabian Style

Kaivo-Oja Jari; Lauraeus Theresa. 2017. "Knowledge Management and Triangulation Logic in the Foresight Research and Analyses in Business Process Management." Communications in Computer and Information Science , no. : 228-238.

Conference paper
Published: 12 July 2017 in Communications in Computer and Information Science
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It is obvious that experts of KM field must understand technological disruptions. In the current market conditions, the corporate and technology foresight are the key elements of business landscape analysis. Firstly, authors present key definitions and difference between disruptive innovations, technological disruptions and radical innovations. These three key concepts are highly relevant for modern corporate management foresight. Secondly, we will present the McKinsey´s twelve potentially and primary disruptive technologies. Therefore, we focused on technologies that we believe having significant potential to drive economic impact and disruption by 2025. An economically disruptive technology must have the potential to create massive economic impact. Thus, we will present the disruptive technologies that drives most economic growth and productivity. Thirdly, authors discuss about key elements of current technology transformation and summarize it to create big a picture and better understanding. Thus, we present comparative analysis about the changes in the Gartner hype cycle between years 2008–2016, which verifies this important aspect of fast technological disruption. We will present the most important ten trends and foresights for year 2017 and discuss about these issues. Fourthly, we will present the foresight tools for the innovation knowledge management and corporation management. New tools for corporate and technology foresight are needed. These new tools help leaders to manage volatility, uncertainty, complexity and ambiguity especially in the turbulent conditions of hyper-competition and technological disruption.

ACS Style

Kaivo-Oja Jari; Lauraeus Theresa. Corporate Knowledge Management, Foresight Tools, Primary Economically Affecting Disruptive Technologies, Corporate Technological Foresight Challenges 2008–2016, and the Most Important Technology Trends for Year 2017. Communications in Computer and Information Science 2017, 239 -253.

AMA Style

Kaivo-Oja Jari, Lauraeus Theresa. Corporate Knowledge Management, Foresight Tools, Primary Economically Affecting Disruptive Technologies, Corporate Technological Foresight Challenges 2008–2016, and the Most Important Technology Trends for Year 2017. Communications in Computer and Information Science. 2017; ():239-253.

Chicago/Turabian Style

Kaivo-Oja Jari; Lauraeus Theresa. 2017. "Corporate Knowledge Management, Foresight Tools, Primary Economically Affecting Disruptive Technologies, Corporate Technological Foresight Challenges 2008–2016, and the Most Important Technology Trends for Year 2017." Communications in Computer and Information Science , no. : 239-253.

Journal article
Published: 01 May 2017 in Technological Forecasting and Social Change
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ACS Style

Steffen Roth; Carlton Clark; Nikolay A. Trofimov; Artur Mkrtichyan; Markus Heidingsfelder; Laura Appignanesi; Miguel Pérez-Valls; Jan Berkel; Jari Kaivo-Oja. Futures of a distributed memory. A global brain wave measurement (1800–2000). Technological Forecasting and Social Change 2017, 118, 307 -323.

AMA Style

Steffen Roth, Carlton Clark, Nikolay A. Trofimov, Artur Mkrtichyan, Markus Heidingsfelder, Laura Appignanesi, Miguel Pérez-Valls, Jan Berkel, Jari Kaivo-Oja. Futures of a distributed memory. A global brain wave measurement (1800–2000). Technological Forecasting and Social Change. 2017; 118 ():307-323.

Chicago/Turabian Style

Steffen Roth; Carlton Clark; Nikolay A. Trofimov; Artur Mkrtichyan; Markus Heidingsfelder; Laura Appignanesi; Miguel Pérez-Valls; Jan Berkel; Jari Kaivo-Oja. 2017. "Futures of a distributed memory. A global brain wave measurement (1800–2000)." Technological Forecasting and Social Change 118, no. : 307-323.

Journal article
Published: 20 February 2017 in Development Policy Review
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The results of the household survey (n=1602) analysis suggest that a poverty–environment nexus exists in the Lao PDR but the nexus depends on the environmental problem. The most explicit relations were those between poverty and using fuelwood for cooking, and poverty and access to safe drinking water, whereas recent negative changes regarding deforestation and land erosion exhibited only a weak connection. Outdoor air pollution was the most common problem experienced, although no connection to poverty was found. The two most common recent improvements were related to indoor air quality and sanitation, and they had been more prevalent for wealthier households.

ACS Style

Tytti Pasanen; Hanna Lakkala; Riikka Yliluoma; Visa Tuominen; Sari Jusi; Jyrki Luukkanen; Jari Kaivo‐Oja. Poverty–Environment Nexus in the Lao PDR: Analysis of Household Survey Data. Development Policy Review 2017, 35, 349 -371.

AMA Style

Tytti Pasanen, Hanna Lakkala, Riikka Yliluoma, Visa Tuominen, Sari Jusi, Jyrki Luukkanen, Jari Kaivo‐Oja. Poverty–Environment Nexus in the Lao PDR: Analysis of Household Survey Data. Development Policy Review. 2017; 35 (3):349-371.

Chicago/Turabian Style

Tytti Pasanen; Hanna Lakkala; Riikka Yliluoma; Visa Tuominen; Sari Jusi; Jyrki Luukkanen; Jari Kaivo‐Oja. 2017. "Poverty–Environment Nexus in the Lao PDR: Analysis of Household Survey Data." Development Policy Review 35, no. 3: 349-371.

Journal article
Published: 01 January 2017 in International Journal of Technology Management
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In this article we discuss the futures of work and robotics. We evaluate key future trends in the field of robotics and analyse different scenarios regarding the futures of human beings and work life. Subsequently, we present a roadmap of robotics, which covers key aspects of industrial and service robotics, discuss technology foresight insights and inter-linkages to robotics, and identify three critical technology roadmaps: the technological future of robotics, digitalisation and ICT technologies. Finally, we analyse economic, social, and political key challenges of the digital transformation of work and labour policy in the European Union in general and against the backdrop of the European robotics strategy in particular.

ACS Style

Steffen Roth; Leo Westerlund; Jari Kaivo Oja. Futures of robotics. Human work in digital transformation. International Journal of Technology Management 2017, 73, 176 .

AMA Style

Steffen Roth, Leo Westerlund, Jari Kaivo Oja. Futures of robotics. Human work in digital transformation. International Journal of Technology Management. 2017; 73 (4):176.

Chicago/Turabian Style

Steffen Roth; Leo Westerlund; Jari Kaivo Oja. 2017. "Futures of robotics. Human work in digital transformation." International Journal of Technology Management 73, no. 4: 176.

Journal article
Published: 01 January 2017 in International Journal of Technology Management
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In this article we discuss the futures of work and robotics. We evaluate key future trends in the field of robotics and analyse different scenarios regarding the futures of human beings and work life. Subsequently, we present a roadmap of robotics, which covers key aspects of industrial and service robotics, discuss technology foresight insights and inter-linkages to robotics, and identify three critical technology roadmaps: the technological future of robotics, digitalisation and ICT technologies. Finally, we analyse economic, social, and political key challenges of the digital transformation of work and labour policy in the European Union in general and against the backdrop of the European robotics strategy in particular.

ACS Style

Jari Kaivo Oja; Steffen Roth; Leo Westerlund. Futures of robotics. Human work in digital transformation. International Journal of Technology Management 2017, 73, 176 .

AMA Style

Jari Kaivo Oja, Steffen Roth, Leo Westerlund. Futures of robotics. Human work in digital transformation. International Journal of Technology Management. 2017; 73 (4):176.

Chicago/Turabian Style

Jari Kaivo Oja; Steffen Roth; Leo Westerlund. 2017. "Futures of robotics. Human work in digital transformation." International Journal of Technology Management 73, no. 4: 176.

Journal article
Published: 01 August 2016 in Futures
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Highlights•Shows that present visions of futures are predominantly visions of political economies, and how to change this.•Suggests that solutions to future political and economic key problems might also be in the so-far neglected further function systems.•Proposes a new systematic set of key variables for consideration and inclusion in models and simulations of futures. AbstractThis article tests whether the field of foresight and futures studies shows significant variable selection biases in the modelling of the future in general and the impact of function systems in particular. We performed a word frequency analysis to measure the relative importance of the political system, the economy, science, art, religion, law, sport, health, education, and the mass media to three pertinent journals in the field of futures studies and foresight. The results show that Futures, Long Range Planning, and Technological Forecasting and Social Change have different and changing preferences for the above function systems, an information which authors may find helpful in supporting decisions on where to submit. Our results also show that all journals feature a highly significant bias to the triple helix systems – the political system, the economy, and science. While the latter bias may be adequate to scientific journals, the dominant focus on the political system and the economy as well as the corresponding neglect of the other systems points at implicit presumptions about the importance of the individual systems that may not be in line with their importance to the larger society.

ACS Style

Steffen Roth; Jari Kaivo-Oja. Is the future a political economy? Functional analysis of three leading foresight and futures studies journals. Futures 2016, 81, 15 -26.

AMA Style

Steffen Roth, Jari Kaivo-Oja. Is the future a political economy? Functional analysis of three leading foresight and futures studies journals. Futures. 2016; 81 ():15-26.

Chicago/Turabian Style

Steffen Roth; Jari Kaivo-Oja. 2016. "Is the future a political economy? Functional analysis of three leading foresight and futures studies journals." Futures 81, no. : 15-26.