Search Results - subject:"exponential random graph models"

Terhorst, Andrew; Wang, Peng; Lusher, Dean; Bolton, Dianne - In: Journal of open innovation : technology, market, and … 10 (2024) 1, pp. 1-17

Knowledge brokers play a crucial role in open innovation. We use exponential random graph models and qualitative …-what. We see that trust is crucial for both tacit and explicit knowledge sharing. Adding broker roles to exponential random … graph models offers a more nuanced explanation of the observed network structure. …

Persistent link: https://www.econbiz.de/10014518766

"Coopetition" in the presence of team and individual incentives : evidence from the advice network of a sales organization

Homburg, Christian; Schyma, Theresa R.; Hohenberg, Sebastian - In: Journal of the Academy of Marketing Science 52 (2024) 2, pp. 306-328

Persistent link: https://www.econbiz.de/10015047765

“Coopetition” in the presence of team and individual incentives: Evidence from the advice network of a sales organization

Homburg, Christian; Schyma (née Morguet), Theresa R.; … - In: Journal of the Academy of Marketing Science 52 (2023) 2, pp. 306-328

Team and individual incentives are ubiquitous in sales, but little is known about their impact on collaboration when they are applied simultaneously. The presence of both types of incentives creates a "coopetitive" environment, where forces of collaboration and competition coexist. We examine...

Persistent link: https://www.econbiz.de/10015165482

“Coopetition” in the presence of team and individual incentives: Evidence from the advice network of a sales organization

Homburg, Christian; Schyma (née Morguet), Theresa R.; … - In: Journal of the Academy of Marketing Science 52 (2023) 2, pp. 306-328

Team and individual incentives are ubiquitous in sales, but little is known about their impact on collaboration when they are applied simultaneously. The presence of both types of incentives creates a “coopetitive” environment, where forces of collaboration and competition coexist. We...

Persistent link: https://www.econbiz.de/10015404766

Beyond patient-sharing: Comparing physician- and patient-induced networks

Kesternich, Eva; Rank, Olaf - In: Health Care Management Science 25 (2022) 3, pp. 498-514

random graph models. Our findings imply deviation from institutional expectations and reveal structural realities visible in … model, we explore different triadic patterns between general practitioners and medical specialists by applying exponential …

Persistent link: https://www.econbiz.de/10015196475

Beyond patient-sharing : comparing physician- and patient-induced networks

Kesternich, Eva; Rank, Olaf N. - In: Health care management science : a new journal serving … 25 (2022) 3, pp. 498-514

Persistent link: https://www.econbiz.de/10013431756

Spinoffs and tie formation in cluster knowledge networks

Juhász, Sándor - In: Small business economics : an international journal 56 (2021) 4, pp. 1385-1404

Persistent link: https://www.econbiz.de/10012582374

Analysis of networks via the sparse β-Model

Chen, Mingli; Kato, Kengo; Leng, Chenlei - 2019 - This version: August 12, 2019.

Persistent link: https://www.econbiz.de/10012170659

Statistical Models for Analysis of Social Network Dynamics in Educational Studies

Dokuka, Sofia; Valeeva, Diliara - In: Educational Studies (2015) 1, pp. 201-213

Temporal Exponential Random Graph Models (STERGM) are an alternative approach towards research on social network dynamics. In …

Persistent link: https://www.econbiz.de/10011271943

Determinants of cross-regional R and D collaboration networks: an application of exponential random graph models

Broekel, Tom; Hartog, Matte - 2013

This study investigates the usefulness of exponential random graph models (ERGM) to analyze the determinants of cross …

Persistent link: https://www.econbiz.de/10011291815