Browsing by Subject "quantitative"

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  • Hagberg-Andersson, Åsa (Svenska handelshögskolan, 2007)
    Economics and Society
    In today’s business one can say that competition does not take place inside the network, but between networks. Change and dynamics are central issues in network studies, and a company, due its changing environment, can identify opportunities and threats and respond to them accordingly. These opportunities are vital, but also complex and demanding for the management. Earlier research has identified a shortcoming in explanations of how the micro-level interactions to macro-level patterns are connected. The IMP-group has been trying to fill this research gap with research on interactions within business networks. In this area of research lies the focus of research on relationships between organizations. Adaptation in cooperation is a central concept within business network research. Adaptation has been dealt with in previous literature, but the focus of the studies has mainly been outside this phenomenon, and it has mostly had a supporting role. Most literature has also described the buyers' point of view in studied supply networks, whereas much less attention has been paid to the suppliers' view on them. This study focuses on this research gap. The results of the study stress that adaptation should be included to a greater extent in the strategy work of companies. The adaptations should be carefully planned and, as far as possible, made consciously. Conscious, well-planned adaptations can be seen as investments into present and future relationships, and resources should be invested into something that does not increase the company’s dependence, but divides the power in the relationship between the companies. Adaptations should be planned so that they result in a more offensive way of responding to the demands that are placed upon the companies. In this way, the actions can be viewed and analyzed in accordance with whether the actions make the company weaker or stronger.
  • Parsons, Michael T.; Tudini, Emma; Li, Hongyan; Hahnen, Eric; Wappenschmidt, Barbara; Feliubadaló, Lidia; Aalfs, Cora M.; Agata, Simona; Aittomäki, Kristiina; Alducci, Elisa; Alonso-Cerezo, María Concepción; Arnold, Norbert; Auber, Bernd; Austin, Rachel; Azzollini, Jacopo; Balmaña, Judith; Barbieri, Elena; Bartram, Claus R.; Blanco, Ana; Blümcke, Britta; Bonache, Sandra; Bonanni, Bernardo; Borg, Åke; Bortesi, Beatrice; Brunet, Joan; Bruzzone, Carla; Bucksch, Karolin; Cagnoli, Giulia; Caldés, Trinidad; Caliebe, Almuth; Caligo, Maria A.; Calvello, Mariarosaria; Capone, Gabriele L.; Caputo, Sandrine M.; Carnevali, Ileana; Carrasco, Estela; Caux-Moncoutier, Virginie; Cavalli, Pietro; Cini, Giulia; Clarke, Edward M.; Concolino, Paola; Cops, Elisa J.; Cortesi, Laura; Couch, Fergus J.; Darder, Esther; de la Hoya, Miguel; Dean, Michael; Debatin, Irmgard; del Valle, Jesús; Delnatte, Capucine; Derive, Nicolas; Diez, Orland; Ditsch, Nina; Domchek, Susan M.; Dutrannoy, Véronique; Eccles, Diana M.; Ehrencrona, Hans; Enders, Ute; Evans, D. Gareth; Faust, Ulrike; Felbor, Ute; Feroce, Irene; Fine, Miriam; Galvao, Henrique C.R.; Gambino, Gaetana; Gehrig, Andrea; Gensini, Francesca; Gerdes, Anne-Marie; Germani, Aldo; Giesecke, Jutta; Gismondi, Viviana; Gómez, Carolina; Gómez Garcia, Encarna B.; González, Sara; Grau, Elia; Grill, Sabine; Gross, Eva; Guerrieri-Gonzaga, Aliana; Guillaud-Bataille, Marine; Gutiérrez-Enríquez, Sara; Haaf, Thomas; Hackmann, Karl; Hansen, Thomas V.O.; Harris, Marion; Hauke, Jan; Heinrich, Tilman; Hellebrand, Heide; Herold, Karen N.; Honisch, Ellen; Horvath, Judit; Houdayer, Claude; Hübbel, Verena; Iglesias, Silvia; Izquierdo, Angel; James, Paul A.; Janssen, Linda A.M.; Jeschke, Udo; Kaulfuß, Silke; Keupp, Katharina; Kiechle, Marion; Kölbl, Alexandra; Krieger, Sophie; Kruse, Torben A.; Kvist, Anders; Lalloo, Fiona; Larsen, Mirjam; Lattimore, Vanessa L.; Lautrup, Charlotte; Ledig, Susanne; Leinert, Elena; Lewis, Alexandra L.; Lim, Joanna; Loeffler, Markus; López-Fernández, Adrià; Lucci-Cordisco, Emanuela; Maass, Nicolai; Manoukian, Siranoush; Marabelli, Monica; Matricardi, Laura; Meindl, Alfons; Michelli, Rodrigo D.; Moghadasi, Setareh; Moles-Fernández, Alejandro; Montagna, Marco; Montalban, Gemma; Monteiro, Alvaro N.; Montes, Eva; Mori, Luigi; Moserle, Lidia; Müller, Clemens R.; Mundhenke, Christoph; Naldi, Nadia; Nathanson, Katherine L.; Navarro, Matilde; Nevanlinna, Heli; Nichols, Cassandra B.; Niederacher, Dieter; Nielsen, Henriette R.; Ong, Kai-ren; Pachter, Nicholas; Palmero, Edenir I.; Papi, Laura; Pedersen, Inge Sokilde; Peissel, Bernard; Pérez-Segura, Pedro; Pfeifer, Katharina; Pineda, Marta; Pohl-Rescigno, Esther; Poplawski, Nicola K.; Porfirio, Berardino; Quante, Anne S.; Ramser, Juliane; Reis, Rui M.; Revillion, Françoise; Rhiem, Kerstin; Riboli, Barbara; Ritter, Julia; Rivera, Daniela; Rofes, Paula; Rump, Andreas; Salinas, Monica; Sánchez de Abajo, Ana María; Schmidt, Gunnar; Schoenwiese, Ulrike; Seggewiß, Jochen; Solanes, Ares; Steinemann, Doris; Stiller, Mathias; Stoppa-Lyonnet, Dominique; Sullivan, Kelly J.; Susman, Rachel; Sutter, Christian; Tavtigian, Sean V.; Teo, Soo H.; Teulé, Alex; Thomassen, Mads; Tibiletti, Maria Grazia; Tognazzo, Silvia; Toland, Amanda E.; Tornero, Eva; Törngren, Therese; Torres-Esquius, Sara; Toss, Angela; Trainer, Alison H.; van Asperen, Christi J.; van Mackelenbergh, Marion T.; Varesco, Liliana; Vargas-Parra, Gardenia; Varon, Raymonda; Vega, Ana; Velasco, Ángela; Vesper, Anne-Sophie; Viel, Alessandra; Vreeswijk, Maaike P.G.; Wagner, Sebastian A.; Waha, Anke; Walker, Logan C.; Walters, Rhiannon J.; Wang-Gohrke, Shan; Weber, Bernhard H.F.; Weichert, Wilko; Wieland, Kerstin; Wiesmüller, Lisa; Witzel, Isabell; Wöckel, Achim; Woodward, Emma R.; Zachariae, Silke; Zampiga, Valentina; Zeder-Göß, Christine; Investigators, KConFab; Lázaro, Conxi; De Nicolo, Arcangela; Radice, Paolo; Engel, Christoph; Schmutzler, Rita K.; Goldgar, David E.; Spurdle, Amanda B. (2019)
    Abstract The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared to information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known non-pathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification. This article is protected by copyright. All rights reserved.