Preserving the legacy – Why do professional soccer clubs (not) adopt innovative process technologies? A grounded theory study

[1]  Ralf Plattfaut,et al.  Beyond the Hype: Robotic Process Automation's Public Perception Over Time , 2021, J. Organ. Comput. Electron. Commer..

[2]  Barbara Neuhofer,et al.  The impact of artificial intelligence on event experiences: a scenario technique approach , 2020, Electronic Markets.

[3]  Leslie P. Willcocks,et al.  Robo-Apocalypse cancelled? Reframing the automation and future of work debate , 2020, Journal of Information Technology.

[4]  V. Ratten,et al.  Big data and business intelligence in sport , 2020 .

[5]  Sabina Siebert,et al.  A grounded theory study of factors and conditions associated with customer trust recovery in a retailer , 2020 .

[6]  Ana Isabel Canhoto,et al.  Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential , 2020 .

[7]  Iis P. Tussyadiah.  A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism , 2020, Annals of Tourism Research.

[8]  F. J. Domínguez-Mayo,et al.  Robotic Process Automation: A Scientific and Industrial Systematic Mapping Study , 2020, IEEE Access.

[9]  Sander J. J. Leemans,et al.  Robotic Process Automation: Contemporary themes and challenges , 2020, Comput. Ind..

[10]  Thomas Hess,et al.  Digital innovations , 2019, Electronic Markets.

[11]  Mohammad Hossein Jarrahi,et al.  In the age of the smart artificial intelligence: AI’s dual capacities for automating and informating work , 2019, Business Information Review.

[12]  G. Viglia,et al.  Technological disruptions in services: lessons from tourism and hospitality , 2019, Journal of Service Management.

[13]  David Lamb,et al.  The Role of Robots, Artificial Intelligence, and Service Automation in Events , 2019, Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality.

[14]  Dhruv Grewal,et al.  How artificial intelligence will change the future of marketing , 2019, Journal of the Academy of Marketing Science.

[15]  Yogesh Kumar Dwivedi,et al.  Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy , 2019, International Journal of Information Management.

[16]  C. Zhang.  Intelligent Process Automation in Audit , 2019, Journal of Emerging Technologies in Accounting.

[17]  S. Prigge,et al.  Market valuation and risk profile of listed European football clubs , 2019, Sport, Business and Management: An International Journal.

[18]  Martin Fleischmann,et al.  International orientation of professional football beyond Europe , 2019, Sport, Business and Management: An International Journal.

[19]  J. Higham,et al.  Sport Tourism Development , 2018 .

[20]  Demis Hassabis,et al.  A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play , 2018, Science.

[21]  Matthias Jarke,et al.  Views on the Past, Present, and Future of Business and Information Systems Engineering , 2018, Bus. Inf. Syst. Eng..

[22]  Jan Mendling,et al.  How do Machine Learning, Robotic Process Automation, and Blockchains Affect the Human Factor in Business Process Management? , 2018, Commun. Assoc. Inf. Syst..

[23]  D. Wann,et al.  Sport Fans , 2018 .

[24]  Jan Mendling,et al.  Challenges and Opportunities of Applying Natural Language Processing in Business Process Management , 2018, COLING.

[25]  Arafat Salih Aydiner,et al.  Business analytics and firm performance: The mediating role of business process performance , 2018, Journal of Business Research.

[26]  Esko Penttinen,et al.  How to Choose between Robotic Process Automation and Back-end System Automation? , 2018, ECIS.

[27]  Leslie P. Willcocks,et al.  Cognitive Automation as Part of Deakin University's Digital Strategy , 2018, MIS Q. Executive.

[28]  Jan Marco Leimeister,et al.  Future Work and Enterprise Systems , 2018, Bus. Inf. Syst. Eng..

[29]  Leslie P. Willcocks,et al.  Robotic process and cognitive automation: the next phase , 2018 .

[30]  Alfredo Cuzzocrea,et al.  A Machine Learning Tool for Supporting Advanced Knowledge Discovery from Chess Game Data , 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

[31]  Alejandro Rodriguez,et al.  Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study , 2017, WEA.

[32]  Helmut Krcmar,et al.  Grounded Theory Methodology in Information Systems Research , 2017, MIS Q..

[33]  Yu Zhang,et al.  AI Challenges in Human-Robot Cognitive Teaming , 2017, ArXiv.

[34]  Norman E. Fenton,et al.  Towards smart-data: Improving predictive accuracy in long-term football team performance , 2017, Knowl. Based Syst..

[35]  Stanislav Ivanov,et al.  Adoption of robots and service automation by tourism and hospitality companies , 2017 .

[36]  Leslie P. Willcocks,et al.  Robotic process automation: strategic transformation lever for global business services? , 2017 .

[37]  P. K. Kannan,et al.  Consumer Connectivity in a Complex, Technology-enabled, and Mobile-oriented World with Smart Products , 2017 .

[38]  Daniel Link,et al.  Real Time Quantification of Dangerousity in Football Using Spatiotemporal Tracking Data , 2016, PloS one.

[39]  Iztok Fister,et al.  Generating eating plans for athletes using the particle swarm optimization , 2016, 2016 IEEE 17th International Symposium on Computational Intelligence and Informatics (CINTI).

[40]  Leslie P. Willcocks,et al.  A new approach to automating services , 2016 .

[41]  Daniel Memmert,et al.  Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science , 2016, SpringerPlus.

[42]  Wang Puchun,et al.  The Application of Data Mining Algorithm Based on Association Rules in the Analysis of Football Tactics , 2016, 2016 International Conference on Robots & Intelligent System (ICRIS).

[43]  V. Ratten.  Sport innovation management: towards a research agenda , 2016 .

[44]  Jason Potts,et al.  Sports innovation: introduction to the special section , 2016 .

[45]  Wil M.P. van der Aalst,et al.  Robotic Process Automation , 2016, Business & Information Systems Engineering.

[46]  C. Breuer,et al.  Europe’s Elite Football: Financial Growth, Sporting Success, Transfer Investment, and Private Majority Investors , 2016 .

[47]  Murad Ali,et al.  The mediating role of an innovative culture in the relationship between absorptive capacity and technical and non-technical innovation , 2016 .

[48]  Dianna P. Gray,et al.  No More “Good” Intentions: Purchase Behaviors in Sponsorship , 2016 .

[49]  Judd N. L. Cramer,et al.  Disruptive Change in the Taxi Business: The Case of Uber , 2016 .

[50]  Ta-Sung Lee,et al.  Design of an FMCW radar baseband signal processing system for automotive application , 2016, SpringerPlus.

[51]  Ulrike Gretzel,et al.  Smart tourism: foundations and developments , 2015, Electronic Markets.

[52]  Brad Millington,et al.  'The datafication of everything': toward a sociology of sport and big data. , 2015 .

[53]  Leslie P. Willcocks,et al.  Robotic Process Automation at Telefónica O2 , 2016, MIS Q. Executive.

[54]  Yogesh Kumar Dwivedi,et al.  The unified theory of acceptance and use of technology (UTAUT): a literature review , 2015, J. Enterp. Inf. Manag..

[55]  Hugo Sarmento,et al.  Match analysis in football: a systematic review , 2014, Journal of sports sciences.

[56]  Balwant Samra,et al.  Consumer in Sports: Fan typology analysis , 2014 .

[57]  Björn Niehaves,et al.  Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide , 2014, Eur. J. Inf. Syst..

[58]  Antonio Moreno,et al.  Intelligent tourism recommender systems: A survey , 2014, Expert Syst. Appl..

[59]  S. Ross,et al.  Sponsorship effectiveness in professional sport: an examination of recall and recognition among football fans. , 2014 .

[60]  Jennifer E. Rowley,et al.  Managing brand presence through social media: the case of UK football clubs , 2014, Internet Res..

[61]  Makoto Nakazawa,et al.  Conceptualization and measurement of fan engagement: empirical evidence from a professional sport context. , 2014 .

[62]  C. Anderson,et al.  The numbers game: why everything you know about football is wrong , 2014 .

[63]  Jürgen Schmidhuber,et al.  Deep learning in neural networks: An overview , 2014, Neural Networks.

[64]  T. Gibbons.  English National Identity and Football Fan Culture: Who Are Ya? , 2014 .

[65]  Andrina Granic,et al.  Technology acceptance model: a literature review from 1986 to 2013 , 2014, Universal Access in the Information Society.

[66]  Herbert Woratschek,et al.  The sport value framework – a new fundamental logic for analyses in sport management , 2014 .

[67]  Syed Nasirin,et al.  Grounded theory method in information systems research: its nature, diversity and opportunities , 2013, Eur. J. Inf. Syst..

[68]  Douglas Bryson,et al.  European football teams' CSR engagement impacts on customer‐based brand equity , 2012 .

[69]  Justin J. P. Jansen,et al.  Management Innovation and Leadership: The Moderating Role of Organizational Size , 2012 .

[70]  Ulrike Gretzel,et al.  Intelligent systems in tourism: a social science perspective , 2011 .

[71]  J. Henseler,et al.  Managers' perceptions of the impact of sport sponsorship on brand equity: Which aspects of the sponsorship matter Most? , 2011 .

[72]  Dragan Miljkovic,et al.  The use of data mining for basketball matches outcomes prediction , 2010, IEEE 8th International Symposium on Intelligent Systems and Informatics.

[73]  Joerg Koenigstorfer,et al.  “You’ll Never Walk Alone”—How Loyal Are Soccer Fans to Their Clubs When They Are Struggling Against Relegation? , 2010 .

[74]  Jeff Breckon,et al.  Using QSR‐NVivo to facilitate the development of a grounded theory project: an account of a worked example , 2010 .

[75]  Michael Rosemann,et al.  Handbook on Business Process Management 1: Introduction, Methods, and Information Systems , 2010, BPM 2010.

[76]  Brown T Matthew.  Financial Management in the Sport Industry , 2010 .

[77]  Esa Peltola,et al.  Application of four different football match analysis systems: A comparative study , 2010, Journal of sports sciences.

[78]  Heidi Armbruster,et al.  Organizational innovation: The challenge of measuring non-technical innovation in large-scale surveys , 2008 .

[79]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[80]  G. Willis,et al.  Research Synthesis: The Practice of Cognitive Interviewing , 2007 .

[81]  Richard P. Bagozzi,et al.  The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift , 2007, J. Assoc. Inf. Syst..

[82]  Izak Benbasat,et al.  Quo vadis TAM? , 2007, J. Assoc. Inf. Syst..

[83]  K I Norton,et al.  Comparison of global positioning and computer-based tracking systems for measuring player movement distance during Australian football. , 2006, Journal of science and medicine in sport.

[84]  H. Bauer,et al.  The loyalty of German soccer fans: does a team's brand image matter? , 2005 .

[85]  Celia Brackenridge,et al.  Using Computer-Assisted Qualitative Data Analysis Software to Develop a Grounded Theory Project , 2004 .

[86]  Mohsen Attaran,et al.  Exploring the relationship between information technology and business process reengineering , 2004, Inf. Manag..

[87]  Alan Tapp,et al.  The loyalty of football fans — We'll support you evermore? , 2004 .

[88]  P. Sloane,et al.  The Economics of Sport: An International Perspective , 2004 .

[89]  Kenneth A. Kozar,et al.  The Technology Acceptance Model: Past, Present, and Future , 2003, Commun. Assoc. Inf. Syst..

[90]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[91]  Mathias Weske,et al.  Business Process Management: A Survey , 2003, Business Process Management.

[92]  N. Schillewaert,et al.  Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research , 2002 .

[93]  J. Amis,et al.  Sport sponsorship as distinctive competence , 1999 .

[94]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[95]  S. Sinclair,et al.  Adoption of continuous processing technologies: Its strategic importance in standardized industrial product-markets☆ , 1992 .

[96]  I. Ajzen.  The theory of planned behavior , 1991 .

[97]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[98]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[99]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[100]  James C. Wetherbe,et al.  Key Information Systems Issues for the 1980's , 1984, MIS Q..

[101]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[102]  T. Fernandes,et al.  Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption , 2021 .

[103]  J. Stark.  Digital Transformation of Springfield FC , 2020 .

[104]  Shan Ling Pan,et al.  Knowledge Embodiment of Human and Machine Interactions: robotic-Process-Automation at the Finland Government , 2019, ECIS.

[105]  J. Ferreira,et al.  Sports Innovation: A Bibliometric Study , 2019, Contributions to Management Science.

[106]  A. Uhl,et al.  Die digitale Reise des FC Bayern: Im globalen Wettbewerb und außerhalb des Platzes , 2019, Digitalisierung in der Praxis.

[107]  Rua-Huan Tsaih,et al.  Artificial Intelligence in Smart Tourism: A Conceptual Framework , 2018 .

[108]  Terri Byers.  Trends in Professional Sport Organisations and Sport Management and Their Market Impact , 2018 .

[109]  Eric Tze Kuan Lim,et al.  Sports Digitalization : An Overview and A Research Agenda , 2017, ICIS 2017.

[110]  Daniel Memmert,et al.  Current Approaches to Tactical Performance Analyses in Soccer Using Position Data , 2016, Sports Medicine.

[111]  Michael Rosemann,et al.  What is Business Process Management? , 2015, Handbook on Business Process Management.

[112]  Daniel F. Mahony,et al.  The Role of Sport Fan Curiosity: A New Conceptual Approach to the Understanding of Sport Fan Behavior , 2011 .

[113]  J. Brocke,et al.  Handbook on Business Process Management 1 , 2010 .

[114]  Stefan Szymanski,et al.  Soccernomics : why England loses, why Germany and Brazil win, and why the US, Japan, Australia, Turkey--and even Iraq-- are destined to become the kings of the world's most popular sport , 2009 .

[115]  F. Farrelly,et al.  The Dark Side of Consumer Fanaticism , 2009 .

[116]  Y. Ko,et al.  The Effects of Sport Involvement, Sponsor Awareness and Corporate Image on Intention to Purchase Sponsors' Products , 2008 .

[117]  A. Strauss,et al.  Excerpts from : The Discovery of Grounded Theory : Strategies for Qualitative Research , 2008 .

[118]  K. Charmaz,et al.  The sage handbook of grounded theory , 2007 .

[119]  Kathy Charmaz.  Constructing grounded theory : a practical guide through qualitative analysis , 2006 .

[120]  G. Willis,et al.  Cognitive Interviewing: A Tool for Improving Questionnaire Design , 2004 .

[121]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[122]  Anselm L. Strauss,et al.  Basics of qualitative research : techniques and procedures for developing grounded theory , 1998 .