| Preparing, conducting, and analyzing Delphi surveys: Cross-disciplinary practices, new directions, and advancements D Beiderbeck, N Frevel, HA von der Gracht, SL Schmidt, VM Schweitzer MethodsX 8, 101401, 2021 | 697 | 2021 |
| Strategic governance: How to assess board effectiveness in guiding strategy execution SL Schmidt, M Brauer Corporate Governance: An International Review 14 (1), 13-22, 2006 | 279 | 2006 |
| What shapes player performance in soccer? Empirical findings from a panel analysis B Torgler, SL Schmidt Applied Economics 39 (18), 2355-2369, 2007 | 212 | 2007 |
| The impact of COVID-19 on the European football ecosystem–A Delphi-based scenario analysis D Beiderbeck, N Frevel, HA von der Gracht, SL Schmidt, VM Schweitzer Technological Forecasting and Social Change 165, 120577, 2021 | 117 | 2021 |
| The impact of technology on sports–A prospective study N Frevel, D Beiderbeck, SL Schmidt Technological Forecasting and Social Change 182, 121838, 2022 | 113 | 2022 |
| Defining the strategic role of boards and measuring boards' effectiveness in strategy implementation M Brauer, SL Schmidt Corporate Governance: The international journal of business in society 8 (5 …, 2008 | 109 | 2008 |
| Against all odds? Exploring the role of game outcome uncertainty in season ticket holders’ stadium attendance demand D Schreyer, SL Schmidt, B Torgler Journal of Economic Psychology 56, 192-217, 2016 | 93 | 2016 |
| Game outcome uncertainty and television audience demand: New evidence from German football D Schreyer, SL Schmidt, B Torgler German Economic Review 19 (2), 140-161, 2018 | 77 | 2018 |
| Game outcome uncertainty in the English Premier League: Do German fans care? D Schreyer, SL Schmidt, B Torgler Journal of Sports Economics 19 (5), 625-644, 2018 | 75 | 2018 |
| Transfer market activities and sportive performance in European first football leagues: A dynamic network approach D Matesanz, F Holzmayer, B Torgler, SL Schmidt, GJ Ortega PloS one 13 (12), e0209362, 2018 | 72 | 2018 |
| Forecasting the Olympic medal distribution–a socioeconomic machine learning model C Schlembach, SL Schmidt, D Schreyer, L Wunderlich Technological Forecasting and Social Change 175, 121314, 2022 | 69 | 2022 |
| Dynamic managerial capabilities, firm resources, and related business diversification–Evidence from the English Premier League F Holzmayer, SL Schmidt Journal of Business Research 117, 132-143, 2020 | 66 | 2020 |
| The impact of technology on the future of football–A global Delphi study D Beiderbeck, N Evans, N Frevel, SL Schmidt Technological Forecasting and Social Change 187, 122186, 2023 | 63 | 2023 |
| Strategic management in eSports–a systematic review of the literature S Flegr, SL Schmidt Sport Management Review 25 (4), 631-655, 2022 | 63 | 2022 |
| Superstars as drivers of organizational identification: Empirical findings from professional soccer D Hoegele, SL Schmidt, B Torgler Psychology & Marketing 31 (9), 736-757, 2014 | 61 | 2014 |
| Exploring strategy implementation consistency over time: The moderating effects of industry velocity and firm performance M Brauer, SL Schmidt Journal of Management & Governance 10 (2), 205-226, 2006 | 61 | 2006 |
| The importance of key celebrity characteristics for customer segmentation by age and gender: Does beauty matter in professional football? D Hoegele, SL Schmidt, B Torgler Review of Managerial Science 10 (3), 601-627, 2016 | 60 | 2016 |
| 21st century sports SL Schmidt Springer International Publishing, 2020 | 59 | 2020 |
| Relative income position and performance: an empirical panel analysis B Torgler, SL Schmidt, BS Frey Nota di Lavoro, 2006 | 52 | 2006 |
| Football spectator no-show behavior D Schreyer, SL Schmidt, B Torgler Journal of Sports Economics 20 (4), 580-602, 2019 | 51 | 2019 |
Benno TorglerProfessor of Economics, QUTVerified email at qut.edu.au
