Institution
Stockholm School of Economics
Education•Stockholm, Sweden•
About: Stockholm School of Economics is a education organization based out in Stockholm, Sweden. It is known for research contribution in the topics: Population & Entrepreneurship. The organization has 1186 authors who have published 4891 publications receiving 285543 citations. The organization is also known as: Stockholm Business School & Handelshögskolan i Stockholm.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors argue for the need to broaden the discussion on performativity to take into account multiple theoretical influences and for the importance of studying performativity in more mundane markets.
402 citations
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TL;DR: The predominant view in the literature on foreign direct investment is that various types of spillover may provide important benefits for the countries that host foreign multinational corporations as discussed by the authors, and that the competitive pressure exerted by foreign affiliates has forced local firms to operate more efficiently and introduce new technologies earlier than would otherwise have been the case.
Abstract: The predominant view in the literature on foreign direct investment is that various types of spillover may provide important benefits for the countries that host foreign multinational corporations. For example, numerous case studies have shown that the technology and productivity of local firms may improve as foreign firms enter the market and demonstrate new products and technologies, provide technical assistance to their local suppliers and customers, and train workers and managers who are later employed by local firms. There are also reports that the competitive pressure exerted by foreign affiliates has forced local firms to operate more efficiently and introduce new technologies earlier than would otherwise have been the case (see Chapter 8 for a review of the literature).
402 citations
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TL;DR: It is common practice in organizational research to restrict the concept of organization to formal organizations, and to describe the world outside these entities by such other concepts as institut... as mentioned in this paper.
Abstract: It is common practice in organizational research to restrict the concept of organization to formal organizations, and to describe the world outside these entities by such other concepts as institut ...
400 citations
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University of Sussex1, INSEAD2, University of Virginia3, University of Padua4, University of Cologne5, University of Cincinnati6, University of Economics, Prague7, Hong Kong Polytechnic University8, University of Liverpool9, Stockholm School of Economics10, Linnaeus University11, University of Hong Kong12, University of California, Berkeley13, City University of New York14, New York University15, University of Manchester16, Westat17, Temple University18, Northwestern University19, University of Zurich20, University of Sheffield21, Stockholm University22, Ludwig Maximilian University of Munich23, University of Minnesota24, Xiamen University25, Oregon State University26, Universidade Federal de Santa Catarina27, University of Washington28, Queen Mary University of London29, University of Nottingham30, Cardiff University31, University of Maryland, College Park32, Brigham Young University33, Loyola University Maryland34, University of Toronto35, University of Giessen36, United States Military Academy37, State University of New York at Oswego38, Concordia University39, University of Bamberg40, University of Amsterdam41, Center for Open Science42
TL;DR: In this paper, 29 teams involving 61 analysts used the same data set to address the same research question: whether soccer referees are more likely to give red cards to dark-skin-toned players than to light-skinned-players.
Abstract: Twenty-nine teams involving 61 analysts used the same data set to address the same research question: whether soccer referees are more likely to give red cards to dark-skin-toned players than to light-skin-toned players. Analytic approaches varied widely across the teams, and the estimated effect sizes ranged from 0.89 to 2.93 (Mdn = 1.31) in odds-ratio units. Twenty teams (69%) found a statistically significant positive effect, and 9 teams (31%) did not observe a significant relationship. Overall, the 29 different analyses used 21 unique combinations of covariates. Neither analysts’ prior beliefs about the effect of interest nor their level of expertise readily explained the variation in the outcomes of the analyses. Peer ratings of the quality of the analyses also did not account for the variability. These findings suggest that significant variation in the results of analyses of complex data may be difficult to avoid, even by experts with honest intentions. Crowdsourcing data analysis, a strategy in which numerous research teams are recruited to simultaneously investigate the same research question, makes transparent how defensible, yet subjective, analytic choices influence research results.
396 citations
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TL;DR: Current comprehensive economic data on the costs of diabetes are required for policy decisions to optimise resource allocation and to evaluate different approaches for disease management, especially in developing countries.
Abstract: Aims/hypothesis
‘The Cost of Diabetes in Europe-Type II study’ is the first coordinated attempt to measure total healthcare costs of Type II (non-insulin-dependent) diabetes mellitus in Europe. The study evaluated more than 7000 patients with Type II diabetes in eight countries — Belgium, France, Germany, Italy, the Netherlands, Spain, Sweden and the United Kingdom.
396 citations
Authors
Showing all 1218 results
Name | H-index | Papers | Citations |
---|---|---|---|
Magnus Johannesson | 102 | 342 | 40776 |
Thomas J. Sargent | 96 | 370 | 39224 |
Bengt Jönsson | 81 | 365 | 33623 |
J. Scott Armstrong | 76 | 445 | 33552 |
Johan Wiklund | 74 | 288 | 30038 |
Per Davidsson | 71 | 309 | 32262 |
Julian Birkinshaw | 64 | 233 | 29262 |
Timo Teräsvirta | 62 | 224 | 20403 |
Lars E.O. Svensson | 61 | 188 | 20666 |
Jonathan D. Ostry | 59 | 232 | 11776 |
Alexander Ljungqvist | 59 | 139 | 14466 |
Richard Green | 58 | 468 | 14244 |
Bo Jönsson | 57 | 294 | 11984 |
Magnus Henrekson | 56 | 261 | 13346 |
Assar Lindbeck | 54 | 234 | 13761 |