hh.sePublications
Change search
Refine search result
12 1 - 50 of 57
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the 'Create feeds' function.
  • 1.
    Jansson, Fredrik
    et al.
    Centre for the Study of Cultural Evolution, Stockholm University, Stockholm, Sweden.
    Lindenfors, Patrik
    Centre for the Study of Cultural Evolution, Stockholm University, Stockholm, Sweden.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Center for Social Analysis (CESAM). Centre for the Study of Cultural Evolution, Stockholm University, Stockholm, Sweden.
    Democratic revolutions as institutional innovation diffusion: Rapid adoption and survival of democracy2013In: Technological forecasting & social change, ISSN 0040-1625, E-ISSN 1873-5509, Vol. 80, no 8, p. 1546-1556Article in journal (Refereed)
    Abstract [en]

    Recent 'democratic revolutions' in Islamic countries call for a re-consideration of transitions to and from democracy. Transitions to democracy have often been considered the outcome of socio-economic modernization and therefore slow and incremental processes. But as a recent study has made clear, in the last century, transitions to democracy have mainly occurred through rapid leaps rather than slow and incremental steps. Here, we therefore apply an innovation and systems perspective and consider transitions to democracy as processes of institutional, and therefore systemic, innovation adoption. We show that transitions to democracy starting before 1900 lasted for an average of 50. years and a median of 56. years, while transitions originating later took an average of 4.6. years and a median of 1.7. years. However, our results indicate that the survival time of democratic regimes is longer in cases where the transition periods have also been longer, suggesting that patience paid in previous democratizations. We identify a critical 'consolidation-preparing' transition period of 12. years. Our results also show that in cases where the transitions have not been made directly from autocracy to democracy, there are no main institutional paths towards democracy. Instead, democracy seems reachable from a variety of directions. This is in line with the analogy of diffusion of innovations at the nation systems level, for which assumptions are that potential adopter systems may vary in susceptibility over time. The adoption of the institutions of democracy therefore corresponds to the adoption of a new political communications standard for a nation, in this case the innovation of involving in principle all adult citizens on an equal basis. © 2013 Elsevier Inc.

  • 2.
    Lindenfors, Patrik
    et al.
    Centre for the Study of Cultural Evolution, Stockholm University, Stockholm, Sweden.
    Jansson, Fredrik
    Centre for the Study of Cultural Evolution, Stockholm University, Stockholm, Sweden.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Center for Social Analysis (CESAM), Centre for Studies of Political Science, Communication and Media (CPKM).
    The Cultural Evolution of Democracy: Saltational Changes in A Political Regime Landscape2011In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 6, no 11, article id e28270Article in journal (Refereed)
    Abstract [en]

    Transitions to democracy are most often considered the outcome of historical modernization processes. Socio-economic changes, such as increases in per capita GNP, education levels, urbanization and communication, have traditionally been found to be correlates or ‘requisites’ of democratic reform. However, transition times and the number of reform steps have not been studied comprehensively. Here we show that historically, transitions to democracy have mainly occurred through rapid leaps rather than slow and incremental transition steps, with a median time from autocracy to democracy of 2.4 years, and overnight in the reverse direction. Our results show that autocracy and democracy have acted as peaks in an evolutionary landscape of possible modes of institutional arrangements. Only scarcely have there been slow incremental transitions. We discuss our results in relation to the application of phylogenetic comparative methods in cultural evolution and point out that the evolving unit in this system is the institutional arrangement, not the individual country which is instead better regarded as the ‘host’ for the political system.

  • 3.
    Lindenfors, Patrik
    et al.
    Stockholms universitet.
    Lind, Johan
    Stockholms universitet.
    Jansson, Fredrik
    Stockholms universitet.
    Envall, Ida
    Stockholms universitet.
    Sandberg, Mikael
    Halmstad University, School of Business and Engineering (SET), Centre for Innovation, Entrepreneurship and Learning Research (CIEL).
    Enquist, Magnus
    Stockholms universitet.
    Unjustified assumptions of inheritance2010Other (Other academic)
    Abstract [en]

    An important difference between biological and cultural evolution is that biological inheritance is transmitted from parent to offspring (vertical transfer) whereas cultural information can be transmitted between any two individuals (horizontal and vertical transfer), and consequently between any two populations. The amount of horizontal transfer has been shown to be of importance for the reliability of results of phylogenetic methods in anthropology (3, 4, 5, 6). There is even evidence of horizontal transmission of language elements (7), rendering a reconstruction of the history of a single language element unreliable even on its own phylogeny.

    These issues are currently of intense interest , something that Currie et al. acknowledge but do not handle. No phylogeny for political organization has yet been found, but one may nevertheless exist. However, it is also possible that political organization has spread mainly by diffusion. Currie et al. discuss this and point out that their own simulation studies have shown that phylogenetic methods are robust in relation to realistic transmission scenarios (8) , without defining realistic. Neither do they clarify why their own simulations on continuous data provides contrary evidence to simulations on categorical data (10, 11) (political organization is categorical). Further, political organization is a single trait that may or may not be in agreement with any statistical pattern.

    The authors claim that political organization has a number of characteristics that makes diffusion unlikely. These combine to make political organization too complicated to diffuse. This assertion is untestable and not a sound scientific motivation for not empirically testing the possibility of horizontal transfers, e.g. with a test for phylogenetic signal (12, 13).

    There are many examples of diffusion of complex cultural traits. A relevant case concerns the spread of democracy. Democracy was virtually unimplemented in the 18th century. From this humble beginning it has spread and is today one of the most common forms of governance (14). Rather than having been inherited democracy has spread by diffusion. Observing behaviours of others and adopting successful traits, or adopting traits of successful individuals or societies, is common (15). To assume different rules for the spread of political complexity in Austronesia than those that have proven valid in the developed world is to assume that people who live in cultures other than our own use different criteria when evaluating cultural traits. This has not yet been shown.

    The unknown status of why any given cultural trait is present in any given ethnic group is a well-known problem in anthropology, having its own term: Galtons problem (16). One has to control for both horizontal transfer and common descent in order to make inferences about the presence of cultural traits. Phylogenetic methods have been imported from biology to correct for problems caused by common descent. Now, it seems, the problem of horizontal transfer is forgotten instead. This renders the results of Currie et al. unreliable.

  • 4.
    Nelson, Anders
    et al.
    Halmstad University, School of Health and Welfare, Centre of Research on Welfare, Health and Sport (CVHI), The Wigforss Group.
    Sandberg, Mikael
    Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL), Business Model Innovation (BMI). Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Labour-market orientation and approaches to studying — a study of the first Bologna Students at a Swedish Regional University2017In: Studies in Higher Education, ISSN 0307-5079, E-ISSN 1470-174X, Vol. 42, no 8, p. 1545-1566Article in journal (Refereed)
    Abstract [en]

    This study investigated labour-market orientations of students at a Swedish University with a dual/diverse focus on vocational/academic objectives. The aim was to investigate whether and how levels of students' labour-market orientation vary with social background, change during the study period, and are related to approaches to studying and achievements. The design was a multiple panel time-series study. Labour-market orientation was studied on the basis of locally designed questionnaires. Approaches to studying were analysed deductively in accordance with dimensions previously found by Study Process Questionnaires and inductively using a principal component analysis. Results suggest that labour-market orientations co-varied to a higher degree with the study programme than with social background. Contrary to what was hypothesized, being labour-market oriented was only moderately related to surface-oriented approaches to studying. It is suggested that future research should pay more attention to disciplinary traditions and local teacher and programme cultures in understanding developmental paths in labour-market orientation. © 2015 Society for Research into Higher Education

  • 5.
    Rånge, Max
    et al.
    Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL).
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Center for Social Analysis (CESAM).
    “Civilizations” and Political-Institutional Paths: A Sequence Analysis of the MaxRange2 Data Set, 1789 – 20132014Conference paper (Other academic)
    Abstract [en]

    In what sequences have nations changed institutionally in history and does that order matter for later democratization? If so, are there historical-institutional pathways of “civilizations”? These previously neglected research problems are addressed in this paper on the basis of a new, unique, and enormous data set tracking all political institutions and systems in the world monthly since 1789. The aim is both empirical and theoretical: to take steps toward an understanding of the sequential aspects of political-institutional evolution. Results visualize sequences at regime level that show few signs of path dependency. They also show that democracy may emerge in all types of regimes, though at varying paces. Separating religious-majority nations, Muslim systems are less affected by democracy diffusion than other religious-majority nations. Muslim political systems also exhibit larger regime type unpredictability. Taken together with estimates of GDP per capita, majority religions explain a minor share of discrepancies between regime types: wealth of nations is more important than majority religion on a general, regime type diversity level. However, specifications of institutional details will have to be made in future research in this new area of historical political-institutional study.    

  • 6. Rånge, Max
    et al.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Political Cultures as Context of Civic and Citizenship Education2017In: 7th IEA International Research Conference: Researching education, improving learning: IEA Program, 2017, p. 51-51Conference paper (Refereed)
    Abstract [en]

    The overarching aim in this paper is to contextualize civic and citizenship education practices, something which promises to settle an old social scientific dispute about the sources of trust in institutions: Is trust in institutions rooted in social psychology, culture and socioeconomic factors, or is it a response to institutional performance? Here, we analyze ICCS 2009 (International Civic and Citizenship Education Study) data at student level (approximately 140,000 students) in 37 countries and territories merged with the 2009 Quality of Government dataset that includes the World Values Surveys (WVS) national aggregates on trust and confidence. We also added MaxRange institutional data for 2009. First, a regression tree analysis is made, second a series of orindary least squares (OLS) regressions, and third, a structural equation model. Results strongly support the institutional performance theory and further explains the interaction between the political institutions and the political culture. In fact the former make possible the latter, so that attitudes and participation may be critical to established institutions while taking part in them. Influences on trust in institutions thus exist on all three levels investigated: institutional, cultural and individual-psychological. However, the interacting political-institutional and political-cultural influences dominate.

  • 7.
    Rånge, Max
    et al.
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS), Språk, kultur och samhälle.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS), Språk, kultur och samhälle.
    Political Institutions and Regimes since 1600: A New Historical Data Set2017In: Journal of Interdisciplinary History, ISSN 0022-1953, E-ISSN 1530-9169, Vol. 47, no 4, p. 495-520Article in journal (Refereed)
    Abstract [en]

    A new data set provides vital information about the world’s political institutions, from 1789 on a monthly and yearly basis and from 1600 on a yearly basis. The yearly data set from 1600 has more than 90,000 country–year observations, and the monthly data set from 1789 more than 600,000 observations—by far the most comprehensive to date, offering several advantages over other available ones. The data set aggregates specific attributes to create nominal and ordinal rankings of political regimes on a scale of 1 to 1,000. In addition to supporting a rigorous classification of democratic and nondemocratic regimes, it allows researchers to trace institutional variations and to explore alternative ways of aggregating political institutions. As a research instrument, the MaxRange data set permits historically minded scholars to address a number of issues related to the dynamics of political institutions in an unprecedented manner. © 2017 by the Massachusetts Institute of Technology and The Journal of Interdisciplinary History, Inc.

  • 8.
    Rånge, Max
    et al.
    Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL).
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Windfall gains or eco-innovation?: ‘Green’ evolution in the Swedish innovation system2016In: Environmental Economics and Policy Studies, ISSN 1432-847X, E-ISSN 1867-383X, Vol. 18, no 2, p. 229-246Article in journal (Refereed)
    Abstract [en]

    This paper therefore looks closer into climate gas emission and the shift to non-fossil energy in Sweden. What types of organizations are behind the shift to non-fossil energy use, what are the relative effects on emissions, to what extent can these interactive dynamics be considered eco-innovations? Do these effects vary between public and private organizations, and if so, can they be related to specific institutions and policies? Methods include statistical survival analyses, in particular Cox regression. These analyses inform us why energy sources shift. Results indicate that wood fuel and solid waste increase as sources of energy while fossil oil has decreased between 2003 and 2010. This result is in line with industrial and environmental policies of the Swedish governments that present these facts as institutionally and policy-related ‘green innovation’. However, our analysis contests such a conclusion and it is noticed that the shift to non-fossil sources of energy has not led to verifiable decreases in green-house gas emissions. Results instead suggest that ‘green’ innovation of non-fossil energy was mostly the effect of low-tech innovation in public organizations with no fundamental effect on CO2 emissions. © Springer International Publishing AG, Part of Springer Science+Business Media 2015

  • 9.
    Rånge, Max
    et al.
    Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL).
    Sandberg, Mikael
    Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL). Halmstad University, School of Education, Humanities and Social Science, Center for Social Analysis (CESAM).
    Windfall Gains or Eco-Innovation? 'Green' Evolution in the Swedish Innovation System2014Conference paper (Refereed)
    Abstract [en]

    In theory, innovation processes lie behind the evolution of national systems as they create interacting dynamics among organisations. Institutions and policies are considered means for influencing these interactive dynamics, such as shifting innovative focus from traditional to environmentally oriented production, more environmentally friendly types of energy use, or environmental protection measures, products or services. Institutions and policies are thus considered drivers of change in technologies, processes, markets, raw materials or organisational forms--innovation in a Schumpeterian sense. Shifts in energy sources, from fossil to non-fossil sources, among organisations in the Swedish innovation system therefore call for explanations in terms of changed institutions and policies and their resulting eco-innovations. This paper looks more closely into climate gas emission and the shift to non-fossil energy in Sweden; what types of organisations are behind the shift to non-fossil energy use, what are the relative effects on emissions, to what extent can these interactive dynamics be considered eco-innovations, and if so, can they be related to specific institutions and policies? Quantitative analysis of evolving innovation processes in national systems is not always possible due to a lack of reliable and multi-level time-series data sets. This is also true for eco-innovations ('green' innovations). In the Swedish case, there are detailed data sets at national, regional, organisational and employee levels, making possible the estimation of evolutionary models. Register data can be merged with time series on environmental energy consumption and emissions. Data allow for a detailed analysis of environmentally oriented innovation from at least 2003. Analyses in this paper are based on time-series of data on the recent shift from fossil to non-fossil energy sources in the Swedish innovation system, as well as data on emissions, and potentially innovation promoting parameters at organisational and employee levels. Methods are quantitative, and Cox regression is used. Previous investigations of the energy use of Swedish organisations reveal a clear shift from fossil to non-fossil energy use. This is described both in terms of cumulative energy use and effects on emissions of carbon dioxide. Data provide us with information for conclusions on why energy sources change and in interaction with what organisational parameters. For example, wood fuel and solid waste increase as sources of energy while fossil oil has decreased during the years 2003 to 2010. This result is in line with national industrial and environmental policies and presented as institutionally and policy related 'green innovation'. But a quantitative analysis contests such a conclusion and it is noticed that the shift to non-fossil sources of energy has not led to verifiable decreases in green-house gas emissions. Public ownership is the single most important contributor to green innovation in non-fossil energy use. Still, CO2emissions are not fundamentally reduced by this low-tech shift, since they do not affect end-of-pipe reductions. What we observe is in fact wind-fall gains rather than eco-innovations behind the Swedish shift from fossil to non-fossil energy use.

  • 10.
    Rånge, Max
    et al.
    Halmstad University, School of Education, Humanities and Social Science.
    Wilson, Matthew C.
    West Virginia University, Morgantown, West Virginia, USA.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Center for Social Analysis (CESAM). Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL).
    Introducing the MaxRange Dataset: Monthly Data on Political Institutions and Regimes Since 1789 and Yearly Since 16002015Conference paper (Other academic)
    Abstract [en]

    The MaxRange dataset provides information on political institutions for all countries of the world going back to 1789 on a monthly and yearly basis, and to 1600 on a yearly one.  The yearly dataset spanning 1600 to 2014 has over 90,000 country-year observations, and in its monthly format from 1789 has over 660,000 observations.  The time-series data are at least 200 years longer than any other comparable time-series dataset on political institutions.  Created by Max Rånge, the datasets aggregate specific attributes to create nominal and ordinal rankings of political regimes on a 1-100 scale (the MaxRange1 dataset) and on a 1-1,000 scale (the MaxRange2 dataset).  At the same time, however, the codes for each attribute underlying the categorization of political regimes are also included.  It is more detailed than any other dataset on political institutions, yielding up to 1,000 different unique combinations of institutional features.  In addition to supporting a rigorous classification of democratic and nondemocratic regimes, the dataset allows researchers to exploit institutional variation and to explore alternative ways of aggregating political institutions.  The MaxRange dataset on political institutions is by far the biggest and most comprehensive political regime dataset to date, and it offers several advantages compared to other available data.  In particular, the availability of monthly time-series data provides greater detail and reliability to support more accurate research on political transitions.  

  • 11.
    Rögnvaldsson, Thorsteinn
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Brink, Joachim
    Halmstad University.
    Florén, Henrik
    Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL).
    Gaspes, Veronica
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Holmgren, Noél
    University of Skövde, Skövde, Sweden.
    Lutz, Mareike
    Halmstad University.
    Nilsson, Pernilla
    Halmstad University, School of Education, Humanities and Social Science, Research on Education and Learning within the Department of Teacher Education (FULL).
    Olsfelt, Jonas
    Halmstad University.
    Svensson, Bertil
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Ericsson, Claes
    Halmstad University, School of Education, Humanities and Social Science, Research on Education and Learning within the Department of Teacher Education (FULL).
    Gustafsson, Linnea
    Halmstad University, School of Education, Humanities and Social Science, Contexts and Cultural Boundaries (KK).
    Hoveskog, Maya
    Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL).
    Hylander, Jonny
    Halmstad University, School of Business, Engineering and Science, Biological and Environmental Systems (BLESS).
    Jonsson, Magnus
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Nygren, Jens
    Halmstad University, School of Health and Welfare, Centre of Research on Welfare, Health and Sport (CVHI).
    Rosén, Bengt-Göran
    Halmstad University, School of Business, Engineering and Science, Mechanical Engineering and Industrial Design (MTEK).
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Center for Social Analysis (CESAM).
    Benner, Mats
    Lund University, Lund, Sweden.
    Berg, Martin
    Halmstad University, School of Education, Humanities and Social Science, Center for Social Analysis (CESAM).
    Bergvall, Patrik
    Halmstad University.
    Carlborg, Anna
    Halmstad University.
    Fleischer, Siegfried
    Halmstad University, School of Business, Engineering and Science, Biological and Environmental Systems (BLESS).
    Hållander, Magnus
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Mattsson, Marie
    Halmstad University, School of Business, Engineering and Science, Biological and Environmental Systems (BLESS).
    Olsson, Charlotte
    Halmstad University, School of Business, Engineering and Science, Biological and Environmental Systems (BLESS).
    Pettersson, Håkan
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Rundquist, Jonas
    Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL).
    Sahlén, Göran
    Halmstad University, School of Business, Engineering and Science, Biological and Environmental Systems (BLESS).
    Waara, Sylvia
    Halmstad University, School of Business, Engineering and Science, Biological and Environmental Systems (BLESS).
    Weisner, Stefan
    Halmstad University, School of Business, Engineering and Science, Biological and Environmental Systems (BLESS).
    Werner, Sven
    Halmstad University, School of Business, Engineering and Science, Biological and Environmental Systems (BLESS).
    ARC13 – Assessment of Research and Coproduction: Reports from the assessment of all research at Halmstad University 20132014Report (Other (popular science, discussion, etc.))
    Abstract [en]

    During 2013, an evaluation of all the research conducted at Halmstad University was carried out. The purpose was to assess the quality of the research, coproduction, and collaboration in research, as well as the impact of the research. The evaluation was dubbed the Assessment of Research and Coproduction 2013, or ARC13. (Extract from Executive Summary)

  • 12.
    Sanchez Preciado, Deycy Janeth
    et al.
    Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL). University of Cauca, Popayán, Colombia.
    Rundquist, Jonas
    Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL).
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Effects of University-Industry-Government collaboration on National Capacity of Innovation2015In: Proceedings of the 3rd International Conference on Innovation and Entrepreneurship: Co-hosted by The University of KwaZulu Natal and the Ethekwini Municipality, Durban, South Africa, 19-20 March 2015 / [ed] Deresh Ramjugernath, Reading: Academic Conferences and Publishing International Limited , 2015, p. 171-179Conference paper (Refereed)
    Abstract [en]

    From an innovation perspective, collaboration between the different actors in a national innovation system (NIS) is imperative. Our concern is whether the Triple Helix idea of collaboration between universities, industry and government as conditional for innovation capacities is possible to estimate on the basis of data. The present paper therefore uses the Global Innovation Index 2013 and the Global Competitiveness Index 2013 for that purpose. The included variables relate to the characteristics of universities, industries, government and innovation. Using these data for 128 countries, this paper suggests a model that demonstrates, by the use of linear regressions, that there are significant statistical effects of university, industry and governmental variables on University-Industry-Government collaboration (UIG). Likewise, results indicate effects of the UIG collaboration on the capacity of innovation. Our results thus confirm most, but no all, implications of the Triple Helix hypothesis in national innovation systems. Copyright: The Authors, 2015. All Rights Reserved.

  • 13.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Arpi, genuskonstruktivism och totalitär demokrati2017Other (Other academic)
  • 14.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Dawkins Den själviska genen den mest inflytelserika vetenskapsboken någonsin!2017Other (Other academic)
  • 15.
    Sandberg, Mikael
    Halmstad University, School of Business, Engineering and Science, Centre for Innovation, Entrepreneurship and Learning Research (CIEL).
    ”Demokratin i Sverige bättre än någonsin”2013In: Dagens NyheterArticle in journal (Other academic)
    Abstract [sv]

    ”Demokratin i Sverige bättre än någonsin”. Ett demokratiindex visar att demokratin i Sverige är i bra skick. Ulf Bjereld och Marie Demker är ute i ogjort väder, skriver statsvetarprofessorn Mikael Sandberg.

  • 16.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM), Centre for Studies of Political Science, Communication and Media (CPKM).
    Den synliga handen: Introduktion till systemdynamisk datorsimulering av myndighetspåverkan på innovationssystem2003In: Simulering av innovationssystem: Slutrapport från projektet Innovationssystemet "Trådlös kommunikationsteknik i Sydvästsverige" / [ed] Sven-Åke Hörte, Halmstad: Högskolan i Halmstad , 2003, p. 113-131Chapter in book (Other academic)
    Abstract [sv]

    Denna lilla uppsats har haft som syfte att beskriva den systemdynamiska ansatsen och simuleringstekniken. Speciellt har jag försökt använda exempel från innovationsområdet, i synnerhet innovationssystems påverkan från statligt håll. Exemplen visar att det går att genomföra fruktbar modellering av modeller som utvecklats för andra simuleringstekniker. Fördelen med den systemdynamiska ansatsen och Powersim är dess lättillgänglighet och användbarhet även för lekmän när väl den färdiga modellen är klar. Reglage och mätare gör därefter simuleringen till en barnlek. Därmed kan man spela om en process flera gånger, med prövning av olika påverkansfaktorer. Det som i levande livet är omöjligt är möjligt i datorsimuleringens värld.

  • 17.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Därför är jag inte på Statsvetenskapliga förbundets årstmöte som börjar idag2017Other (Other academic)
  • 18.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Ett år kvar till 2018 års riksdagsval. Hur går det för Rörelsen?2017Other (Other academic)
  • 19.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Evolutionsfobins väsen och orsaker inom statsvetenskapen2017Other (Other academic)
  • 20.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Förarbeten till Samhällets rörelselag2017Other (Other academic)
  • 21.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM), Centre for Studies of Political Science, Communication and Media (CPKM).
    Green post-communism?: Environmental aid, Polish innovation and evolutionary political economics1999Book (Refereed)
    Abstract [en]

    This book asks whether foreign aid can help post-communist societies to steer their technological innovation systems in more environmentally sound directions. Mikael Sandberg examines the legacy of Soviet-type innovation systems, then looks at opportunities for greener innovations in post-communist Poland, considering: * institutional transformation and environmental investment incentives* the persistence and spread of the first environmental aid projects* the adoption of national environment policies and the role of aid in their implementation* evidence of changing innovation systems in Central and Eastern Europe

  • 22.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Herbert Tingsten och svensk demokrati2017Other (Other academic)
  • 23.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM), Centre for Studies of Political Science, Communication and Media (CPKM).
    Hur skapas demokratier?: Förklaring av demokratispridning genom systemdynamisk simulering2008In: Tvärsnitt : humanistisk och samhällsvetenskaplig forskning, ISSN 0348-7997, Vol. 8, no 4, p. 36-39Article, review/survey (Refereed)
    Abstract [sv]

    Demokratistudier har länge tillhört statsvetenskapens kärnområden. Ändå har man inte inom ämnet kunnat enas om en entydig förklaring till den moderna demokratins framväxt, skriver statsvetaren Mikael Sandberg. En svaghet i många analyser är att man söker förklaringar till demokratin genom statistiska sambandsanalyser med samtida faktorer och förbiser de förändringar som sker globalt snarare än nationellt, menar han. I ett försök att komma till rätta med detta använder han sig av en Bass-grundad diffusionsmodell för att få fram en dynamisk förklaring till demokratins spridning 1800-2000.

  • 24.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Centre for Studies of Political Science, Communication and Media (CPKM).
    Hur växer demokratin fram?: Dynamisk (evolutionär) komparation och några metodtest på europeiska regimdata2004In: Statsvetenskaplig Tidskrift, ISSN 0039-0747, Vol. 106, no 4, p. 265-303Article in journal (Refereed)
  • 25.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM), Centre for Studies of Political Science, Communication and Media (CPKM).
    Hybridvetenskap och innovation: Något för statsvetenskapen?2004In: Tvärvetenskap: Fält, perspektiv eller metod / [ed] Fredrik Sunnemark, Martin Åberg, Lund: Studentlitteratur, 2004, p. 59-84Chapter in book (Other academic)
    Abstract [sv]

    Kapitlet behandlar tvärvetenskap som innovativt element inom statsvetenskapen

  • 26.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM), Centre for Studies of Political Science, Communication and Media (CPKM).
    I vänstervågens svall: livscykler, generationer och attityder till kärnkraft och demokrati sedan 1970-talet2007Report (Other (popular science, discussion, etc.))
    Abstract [sv]

    En presentation av projektet Mot aktivism eller ointresse? Svenska ungdomars syn på demokrati och teknologi i ett internationellt och longitudinellt perspektiv, tillsammans med Thorleif Pettersson. (Projektrapport. Bildar grund till vetenskaplig artikel.)

  • 27.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    I väntan på att boken Samhällets rörelselag också finns att köpa…2017Other (Other academic)
  • 28.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Idag 100 år sedan ”Oktoberrevolutionen” = novemberstatskuppen2017Other (Other academic)
  • 29.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Idag 150 år sedan Marx’ Kapitalet kom ut (OBS boksläpp 19/9, inget annat!)2017Other (Other academic)
  • 30.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Idag för 500 år sedan spikade Martin Luther upp sina 95 teser…Här ”spikar” jag mina…2017Other (Other academic)
  • 31.
    Sandberg, Mikael
    Department of Political Science, University of Göteborg, Göteborg, Sweden.
    Learning from Capitalists: A Study of Soviet Assimilation of Western Technology1989Doctoral thesis, monograph (Other academic)
  • 32.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    #MeToo och evolution2017Other (Other academic)
  • 33.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    New York Times: skaka om socialvetenskaperna!2017Other (Other academic)
  • 34.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Nobelpriset till evolutionär statsvetenskap!2017Other (Other academic)
  • 35.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Center for Social Analysis (CESAM).
    Perspektiv: Hur demokratiskt är Sverige?2014In: Magasinet Neo, ISSN 1652-378X, no 6, p. 61-61Article in journal (Other (popular science, discussion, etc.))
  • 36.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM). Halmstad University, School of Business and Engineering (SET), Centre for Innovation, Entrepreneurship and Learning Research (CIEL).
    Politiserade valforskare2014In: Axess, ISSN 1651-0941, no 2, p. 32-33Article in journal (Other (popular science, discussion, etc.))
  • 37.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM), Centre for Studies of Political Science, Communication and Media (CPKM).
    Politiska och ekonomiska "uttrycksarters" uppkomst genom institutionell selektion: Några steg mot en evolutionär politisk ekonomi2000In: Statsvetenskaplig Tidskrift, ISSN 0039-0747, Vol. 103, no 2, p. 115-148Article in journal (Refereed)
    Abstract [en]

    The origin of political- economic action by means of institutional selection: Some steps toward an evolutionary political economics. This essay takes some initial steps toward an evolutionary political economics by proposing to consider social, political, economic and cultural action subject to (a) variation, (b) (institutional) selection, and (c) ‘inheritence’ in tradition, experience, investments, etc., i.e. the three preconditions for a ‘social action evolution’ of Darwinian type. It draws from a number of conceptual sources, including dynamic and non-linear models in political science, sociology, economics, economic history, research policy, and most notably 'memetics' (i.e. the new discipline created on the basis of Richard Dawkins' theory of 'memes' - culturgenes - in The Selfish Gene 1976 and The Extended Phenotype 1982), however in this text divorced from the socio-biological notion of ‘culture’ as subordinated to biology. A number of propositions are made on the basis of analogies with theoretical biology however, e.g. an analogy between Robert Dahl's theory of paths toward polyarchy (democratization) and Sewall Wright's theory of adaptive landscapes; a solution to the problem of Lamarckian evolution-of-institutions and innovations as suggested by Douglass North and other prominent scholars in evolutionary and institutional economics and technology policy; the question of rapid innovation 'arms races'; and a memetic interpretation of Schumpeterian ‘new combinations’. Since the adoption of this approach equals a paradigm shift also for political science, and we are all'interested in what such a paradigm shift will bring to our discipline, an analogy is made with Nico Tinbergen's ‘Four Evolutionary Questions Why’, i.e. his strategy for developing ethology as a new approach in biology.

  • 38.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Presidentval, presidentialism och revolutionen i USA2017Other (Other academic)
  • 39.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS), Språk, kultur och samhälle.
    ”Regeringsformens skrivningar skapar problem”2017In: Dagens nyheterArticle in journal (Other academic)
    Abstract [sv]

    Demokratin som teknik för politiska avgöranden bygger på tanken att flera åsikter skall brytas i diskussion och debatt. Om demokrati ses som ett statsstyrt innehåll i politikutövning får vi vad en israelisk historieprofessor en gång kallade ”totalitär demokrati”, skriver statsvetaren Mikael Sandberg.

  • 40.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Rockmore rockar mer!: Tunga bidrag 2017 till den evolutionära politikforskningen2017Other (Other (popular science, discussion, etc.))
  • 41.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Samhällets rörelselag: Marx, Darwin och statsvetenskapens politisering2017Book (Refereed)
    Abstract [sv]

    Hur förändras vårt samhälle, vad är förändringarnas ”motor” – och hur studerar man detta på bästa sätt? Den här boken argumenterar för en evolutionär ansats för den samhällsvetenskapliga forskningen, till skillnad från den i Sverige rådande icke-evolutionära ansatsen. Den första tar sin utgångspunkt i Charles Darwins Om arternas ursprung medan den andra låtit sig influeras av politiserade tolkningar av Karl Marx’ Kapitalet.

    Mikael Sandberg menar att politiseringen av samhällsforskningen förvridit vårt synsätt på samhället och hur förändringar av samhällen går till, och att det bara är Darwins teori som kan ge oss verkligt vetenskapliga svar. Hur väl man än vill att det ska vara på ett visst sätt, så följer inte verkligheten de politiska önskningarna utan samhällets rörelselag. Och den har sin grund i Darwins teori, inte Marx’. Författaren menar att samhällsforskarna ryggar för den insikten och hävdar att just det mänskliga samhället är undantaget i universum från giltigheten av Darwins teori. Boken visar hur fel detta synsätt är, att politisering av vetenskap alltid blir fel, inte minst på statsvetenskapens område.

  • 42.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM).
    Samverkan högskola-näringsliv: Ny start för regionerna?2005In: "I den absoluta frontlinjen": En bok om forskningsstiftelserna, konkurrenskraften och politikens möjligheter / [ed] Sverker Sörlin, Nora: Nya Doxa , 2005, p. 235-263Chapter in book (Other (popular science, discussion, etc.))
  • 43.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM).
    Satsa på elitforskare i stället för på Rothsteins påläggskalvar: Mikael Sandberg om forskningspolitik2012Other (Other (popular science, discussion, etc.))
    Abstract [sv]

    Efter vad som framkommit om regeringens stundande forskningsproposition finns det mycket som man som forskare kan glädja sig åt – inte minst de ökande resurserna och satsningen på kvalitet och spetsforskning, skriver Rothstein. Men på en viktig punkt har man emellertid ”hamnat alldeles fel”, menar han. Det gäller idén att lägga en kvarts miljard på att ”landets rektorer ska kunna handplocka några av de allra bästa internationella forskarna till sina lärosäten”. Att Bo Rothstein är emot det är alltså inte så konstigt, det skulle hota honom som herre på den svenska, socialdemokratiskt dominerade statsvetartäppan.

  • 44.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Slutet på den marxistiska eran?2017Other (Other academic)
  • 45.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Center for Social Analysis (CESAM), Centre for Studies of Political Science, Communication and Media (CPKM).
    Soft Power, World System Dynamics, and Democratization: A Bass Model of Democracy Diffusion 1800-20002011In: JASSS: Journal of Artificial Societies and Social Simulation, ISSN 1460-7425, E-ISSN 1460-7425, Vol. 14, no 1, p. 4-Article in journal (Refereed)
    Abstract [en]

    This article uses Polity IV data to probe system dynamics for studies of the global diffusion of democracy from 1800 to 2000. By analogy with the Bass model of diffusion of innovations, as translated into system dynamics by Sterman, the dynamic explanation proposed focuses on transitions to democracy, soft power, and communication rates on a global level. The analysis suggests that the transition from democratic experiences ('the soft power of democracy') can be estimated from the systems dynamics simulation of an extended Bass model. Soft power, fueled by the growth in communications worldwide, is today the major force behind the diffusion of democracy. Our findings indicate the applicability of system dynamics simulation tools for the analysis of political change over time in the world system of polities.

  • 46.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM), Centre for Studies of Political Science, Communication and Media (CPKM).
    The evolution of IT innovations in Swedish organizations: a Darwinian critique of 'Lamarckian' institutional economics2007In: Journal of evolutionary economics, ISSN 0936-9937, E-ISSN 1432-1386, Vol. 17, no 1, p. 1-23Article in journal (Refereed)
    Abstract [en]

    Fundamental correspondence and analogies between the evolution of technological and biological innovations call for an `innovation Darwinian', `universal Darwinian' or `memetic' approach to understanding technology innovation. Neo-institutional, in fact pseudo-Lamarckian evolutionary economic theory, represented by North, Nelson and Winter, Freeman and others, is criticized. Pseudo-Lamarckian (“by volition”) evolution is explained and analyzed on Darwinian grounds (as intentional and artificial selection), as is Schumpeter's definitions of creative and imitative innovation. Data from a web survey among Swedish public and private organizations in 1999 are studied. Data show that Darwinian co-evolutionary interaction between producers and users or clients provide essential conditions and stronger influence on creative IT innovations than both `Lamarckian' strategies and competition.

  • 47.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM), Centre for Studies of Political Science, Communication and Media (CPKM).
    The Greening of the Swedish Innovation System: A paper presented at the 13th Conference of The International Joseph A. Schumpeter Society: Innovation, Organisation, Sustainability and Crises, Aalborg University, Denmark, 21-24 June 20102010Conference paper (Other academic)
    Abstract [en]

    Quantitative analysis of “greener” innovation at national systems level is not always possible due to the lack of reliable, comprehensive and adequate data sets. In the Swedish case, there are promising data sets that can be combined, even if one always can debate the adequacy of existing variable definitions. Official data collected by the central statistics authority include several interesting variables on all (!) private and public organizations in Sweden and all (!) employees compiled into time series for a number of years. These can be merged with other data sets on the environmental goods and services sector and energy consumption data in industry and therefore allow for a detailed “demographic” or “population ecology” analysis of environmentally oriented innovation since at least 2003 in industry and the green product sector. In this paper, these databases are described in some detail. Problems of definitions and measurement are particularly discussed. Some initial descriptive statistics are presented. Further, it is suggested to consider some models inspired by demography and population ecology and also include multi-level (in this case national, organizational and individual level) models. In particular it is suggested that diffusion models could be applied, including models in which diffusion processes at organizational level interact with individual level flows of ideas through networks. It is suggested to apply such multi-level regression analysis in order to estimate the power of both organizational and individual level factors in the “greening” of the Swedish innovation system.

  • 48.
    Sandberg, Mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM), Centre for Studies of Political Science, Communication and Media (CPKM).
    The Greening of the Swedish Innovation System: Data and Dynamic Models2011In: Research on Technology, Innovation and Marketing Management 2009‐2011: Introducing the Research Area of Innovation Science / [ed] Sven-Åke Hörte, Halmstad: Högskolan i Halmstad , 2011, p. 5-19Chapter in book (Other academic)
    Abstract [en]

    Quantitative analysis of the evolution of innovations at a national systems level is not always possible due to the lack of reliable, comprehensive and adequate data sets. Therefore, managerial practice among organisations as well as policy decision‐making is often myopic and uninformed about actual dynamics. In the Swedish case, there are promising data sets, even if the adequacy of existing variable definitions needs to be explored and debated. Official data collected by the central statistics authority SCB (Statistics Sweden) includes several potentially relevant variables on all private and public organisations in Sweden and their employees. These data are compiled into time series for a number of years, which enables longitudinal analysis. Data can also be merged with other data sets on the environmental goods and services sector and energy consumption data, and therefore allow for a detailed “demographic” or “population ecology” analysis of environmentally oriented or environmentally friendly innovation since at least 2003. In this paper, these databases are described in some detail. In particular, problems of definitions and measurement are discussed, and some initial descriptive statistics are presented. Further, the paper advocates the use of models inspired by population ecology and demography in analysing existing data. In particular, it is suggested that interactive diffusion models may enhance the understanding of the evolution of green innovations and their dynamics. A dynamic understanding of the“greening” of the innovation system is a critical asset in the development of tools to be used for continuous improvements in both policy‐making and the management of innovation in organisations.

  • 49.
    Sandberg, mikael
    Halmstad University, School of Social and Health Sciences (HOS), Center for Social Analysis (CESAM), Centre for Studies of Political Science, Communication and Media (CPKM).
    Ungdomars syn på kärnkraft och demokrati sedan 1980-talet: Attitydepidemier, stigberoenden och teknisk-politisk kulturrevolution2008Report (Other (popular science, discussion, etc.))
    Abstract [sv]

    Projektrapport, grund för arbete med artikel.

  • 50.
    Sandberg, Mikael
    Halmstad University, School of Education, Humanities and Social Science, Centrum för lärande, kultur och samhälle (CLKS).
    Varför då Darwin snarare än Marx?2017Other (Other academic)
12 1 - 50 of 57
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf