[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117943-en":3,"doc-seo-117943-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},117943,1649267921044,"Ava Thompson","https://us-avatar.wpscdn.com/avatar/1800007509477c92dfb?_k=1782875107921204101",8,"Research & Report","ANTECEDENTS OF ESG-RELATED CORPORATE MISCONDUCT - THEORETICAL CONSIDERATIONS AND MACHINE LEARNING APPLICATIONS - Inauguraldissertation 2023","This inaugural dissertation examines antecedents of ESG-related corporate misconduct by combining theoretical considerations with machine learning approaches. It structures the study through three dissertation papers that predict severe negative public scrutiny, analyze how competitive conditions influence disclosure of unethical firm behavior, and review recurring problems in machine learning applications in marketing. The work develops trigger-event definitions, constructs data and firm samples, selects predictive variables, and evaluates benchmark and advanced modeling methods using assessment criteria and cost-sensitive classification.","ANTECEDENTS OF ESG-RELATED CORPORATE MISCONDUCT: THEORETICAL CONSIDERATIONS AND MACHINE LEARNING  \nAPPLICATIONS  \nInauguraldissertation  \nzur  \nErlangung des Doktorgrades  \nder Wirtschafts-und Sozialwissenschaftlichen Fakultät der Universität zu Köln  \n2023  \nvorgelegt von  \nLars Gemmer  \naus  \nDuisburg  \nReferent: Prof. Dr. Marc Fischer  \nKorreferent: Prof. Dr. Werner Reinartz  \nTag der Promotion: 29.08.2023  \nDEDICATION  \nTo my father Dirk and my mother Barbara – Your trust and support are the antecedents of this work.  \nCONTENTS  \nLIST OF FIGURES....................................................................................................................... V  \nLIST OF TABLES .......................................................................................................................VI  \nLIST OF ABBREVIATION....................................................................................................... VIII  \nSYNOPSIS .................................................................................................................................... 1  \n1 Overview ......................................................................................................................... 1  \n2 Introduction .................................................................................................................... 2  \n3 Summary of Dissertation Projects................................................................................ 5  \n3.1 Paper 1: When Will We Get in Trouble (Again)? Predicting the Occurrence of Severe Negative Publicity for Firms.......................................................................... 5  \n3.2 Paper 2: When is Competition Really Healthy? Analyzing the Impact of the Firm’s Competitive Situation on the Disclosure of Unethical Firm Behavior .......... 7  \n3.3 Paper 3: Machine Learning in Marketing – A Review of Recurring Problems and How to Solve Them ................................................................................................... 9  \nReferences Synopsis ........................................................................................................... 12  \nPAPER 1: WHEN WILL WE GET IN TROUBLE (AGAIN)? PREDICTING THE OCCURRENCE OF SEVERE NEGATIVE PUBLICITY FOR FIRMS............................................................................. 15  \nAbstract ............................................................................................................................... 15  \n1 Introduction .................................................................................................................. 16  \n2 Data................................................................................................................................ 19  \n2.1 Definition of Trigger Events .................................................................................... 19  \n2.2 Population of Negative News Events ...................................................................... 20  \n2.3 Population of Firms ................................................................................................. 22  \n2.4 Identification of Trigger Events............................................................................... 23  \n2.5 Evolution of Negative News and Trigger Events .................................................... 24  \n3 Conceptual Development of the Prediction Model ................................................... 26  \n3.1 Insights from Related Research Fields .............................................................. 27  \n3.1.1 The prediction of earthquakes and crimes ......................................................... 27  \n3.1.2 The prediction of risks in marketing and other business disciplines ................. 29  \n3.1.3 Summary............................................................................................................ 29  \n3.2 Selecting Variables for the Prediction of Trigger Events ....","cbCail1m2DLEIioC","https://ap.wps.com/l/cbCail1m2DLEIioC","pdf",4623061,1,199,"English","en",105,"# Synopsis\n## Overview\n## Introduction\n## Summary of Dissertation Projects\n## Paper 1: When Will We Get in Trouble (Again)? Predicting the Occurrence of Severe Negative Publicity for Firms\n## Paper 2: When is Competition Really Healthy? Analyzing the Impact of the Firm’s Competitive Situation on the Disclosure of Unethical Firm Behavior\n## Paper 3: Machine Learning in Marketing – A Review of Recurring Problems and How to Solve Them\n## References","[{\"question\":\"What is the dissertation’s central focus?\",\"answer\":\"The dissertation focuses on antecedents of ESG-related corporate misconduct and how they can be studied using theoretical framing and machine learning.\"},{\"question\":\"How does Paper 1 predict corporate trouble?\",\"answer\":\"Paper 1 builds a prediction model to forecast the occurrence of severe negative publicity for firms using defined trigger events, selected variables, and benchmark plus machine learning methods.\"},{\"question\":\"What topics are addressed across the three dissertation papers?\",\"answer\":\"The papers cover (1) prediction of negative publicity, (2) the effect of competitive situation on disclosure of unethical behavior, and (3) a review of recurring problems in machine learning applications in marketing.\"}]","ANTECEDENTS OF ESG-RELATED CORPORATE MISCONDUCT - 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