Jan Pfister

ORCID: 0000-0003-3967-9869
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About
Contact & Profiles
Research Areas
  • Accounting and Organizational Management
  • Topic Modeling
  • Natural Language Processing Techniques
  • Intellectual Capital and Performance Analysis
  • Auditing, Earnings Management, Governance
  • Risk Management in Financial Firms
  • Corporate Governance and Management
  • Business Strategy and Innovation
  • Management and Organizational Studies
  • Experimental Behavioral Economics Studies
  • Multimodal Machine Learning Applications
  • Corporate Governance and Law
  • Financial Reporting and XBRL
  • Text Readability and Simplification
  • Creativity in Education and Neuroscience
  • Advanced Text Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Marketing and Advertising Strategies
  • Taxation and Legal Issues
  • Law and Political Science
  • Palliative Care and End-of-Life Issues
  • Religion, Spirituality, and Psychology
  • Corporate Social Responsibility and Sustainability
  • Corruption and Economic Development
  • Quality and Supply Management

University of Würzburg
2022-2023

Badan Penelitian dan Pengembangan Kesehatan
2023

University of Turku
2017-2022

Stockholm School of Economics
2022

Lancaster University
2009-2013

ABSTRACT This field study investigates an empirical setting where the introduction of new formal results controls—stretch targets for productivity that are seemingly unachievable with current process efficiencies—is associated high gains over extended periods time. Contrary to findings from prior management accounting research, employees meet by being creative and risk-taking in continuously innovating processes, despite pressure induced target-level difficulty. Mobilizing self-determination...

10.2308/accr-52266 article EN The Accounting Review 2018-09-01

Purpose The purpose of this paper is to reflect on how apply the abductive research process for developing a theoretical explanation in studies performance management and control systems. This important because theoretically ambitious tends require explanatory study outcomes, but prior frameworks provide little guidance regard, potentially facilitating ill-defined designs lack common vocabulary criteria evaluating studies. Design/methodology/approach authors introduce methodological...

10.1108/qram-10-2021-0193 article EN cc-by Qualitative Research in Accounting & Management 2022-03-10

Book description: In times of economic and financial crises, the content this book rings true. Drawing from interviews with executives, senior managers and/or auditors renowned companies (eBay, Google, Hewlett Packard, Intel, Levi Strauss & Co., Microsoft, Novartis many others) theory fields sociology social psychology, research study provides an understanding how tone at top imprints on organization why that imprint works. More specifically, it discusses managers' principles practices can...

10.2308/accr.00000026 article EN The Accounting Review 2011-03-01
Kaustubh Dhole Varun Gangal Sebastian Gehrmann Aadesh Gupta Zhenhao Li and 95 more Saad Mahamood Abinaya Mahendiran Simon Mille Ashish Shrivastava Samson Tan Tongshuang Wu Jascha Sohl‐Dickstein Jinho D. Choi Eduard Hovy Ondřej Dušek Sebastian Ruder Sajant Anand Nagender Aneja Rabin Banjade Lisa Barthe Hanna Behnke Ian Berlot-Attwell Connor Boyle Caroline Brun Marco Antonio Sobrevilla Cabezudo Samuel Cahyawijaya Émile Chapuis Wanxiang Che Mukund Choudhary Christian Clauss Pierre Colombo Filip Cornell Gautier Dagan Mayukh Das Tanay Dixit Thomas Dopierre Paul-Alexis Dray Suchitra Dubey Tatiana Ekeinhor Marco Di Giovanni Tanya Goyal Rishabh Gupta Rishabh Gupta Louanes Hamla Sang Wook Han Fabrice Harel-Canada Antoine Honoré Ishan Jindal Przemyslaw K. Joniak Denis Kleyko Venelin Kovatchev Kalpesh Krishna Ashutosh Kumar Stefan Langer Seungjae Ryan Lee Corey James Levinson Hualou Liang Kaizhao Liang Zhexiong Liu Andrey Lukyanenko Vukosi Marivate Gerard de Melo Simon Méoni Maxime Meyer Afnan Mir Nafise Sadat Moosavi Niklas Muennighoff Timothy Sum Hon Mun Kenton Murray Marcin Namysł Maria Obedkova Priti Oli Nivranshu Pasricha Jan Pfister Richard Plant Vinay Prabhu Vasile Păiș Libo Qin Shahab Raji Pawan Kumar Rajpoot Vikas Raunak Roy Rinberg Nicolas Roberts Juan Diego Rodríguez Claude Roux P. H. S. Vasconcellos Ananya B. Sai Robin M. Schmidt Thomas Scialom Tshephisho Joseph Sefara Saqib Shamsi Xudong Shen Haoyue Shi Yiwen Shi Анна Швец Nick Siegel Damien Sileo Jamie Simon Chandan Singh Roman Sitelew

Data augmentation is an important component in the robustness evaluation of models natural language processing (NLP) and enhancing diversity data they are trained on. In this paper, we present NL-Augmenter, a new participatory Python-based framework which supports creation both transformations (modifications to data) filters (data splits according specific features). We describe initial set 117 23 for variety tasks. demonstrate efficacy NL-Augmenter by using several its analyze popular...

10.48550/arxiv.2112.02721 preprint EN cc-by arXiv (Cornell University) 2021-01-01
Kaustubh Dhole Varun Gangal Sebastian Gehrmann Aadesh Gupta Zhenhao Li and 95 more Saad Mahamood Abinaya Mahadiran Simon Mille Ashish Shrivastava Samson Tan Tongshang Wu Jascha Sohl‐Dickstein Jinho Choi Eduard Hovy Ondřej Dušek Sebastian Ruder Sajant Anand Nagender Aneja Rabin Banjade Lisa Barthe Hanna Behnke Ian Berlot-Attwell Connor Boyle Caroline Brun Marco Antonio Sobrevilla Cabezudo Samuel Cahyawijaya Émile Chapuis Wanxiang Che Mukund Choudhary Christian Clauss Pierre Colombo Filip Cornell Gautier Dagan Mayukh Das Tanay Dixit Thomas Dopierre Paul-Alexis Dray Suchitra Dubey Tatiana Ekeinhor Marco Di Giovanni Tanya Goyal Rishabh Gupta Louanes Hamla Sang Wook Han Fabrice Harel-Canada Antoine Honoré Ishan Jindal Przemysław Joniak Denis Kleyko Venelin Kovatchev Kalpesh Krishna Ashutosh Kumar Stefan Langer Seungjae Ryan Lee Corey James Levinson Hualou Liang Kaizhao Liang Zhexiong Liu Andrey Lukyanenko Vukosi Marivate Gerard de Melo Simon Méoni Maxine Meyer Afnan Mir Nafise Sadat Moosavi Niklas Meunnighoff Timothy Sum Hon Mun Kenton Murray Marcin Namysł Maria Obedkova Priti Oli Nivranshu Pasricha Jan Pfister Richard E. Plant Vinay Prabhu Vasile Păiș Libo Qin Shahab Raji Pawan Kumar Rajpoot Vikas Raunak Roy Rinberg Nicholas J. Roberts Juan Diego Rodríguez Claude Roux Vasconcellos Samus Ananya B. Sai Robin Schmidt Thomas Scialom Tshephisho Joseph Sefara Saqib Shamsi Xudong Shen Yiwen Shi Haoyue Shi Анна Швец Nick Siegel Damien Sileo Jamie Simon Chandan Singh Roman Sitelew Priyank Soni

Data augmentation is an important method for evaluating the robustness of and enhancing diversity training data natural language processing (NLP) models. In this paper, we present NL-Augmenter, a new participatory Python-based (NL) framework which supports creation transformations (modifications to data) filters (data splits according specific features). We describe initial set 117 23 variety NL tasks annotated with noisy descriptive tags. The incorporate noise, intentional accidental human...

10.3384/nejlt.2000-1533.2023.4725 article EN Northern European Journal of Language Technology 2023-04-08

Purpose The purpose of this multi-voiced paper is to propose a prosocial paradigm for the field performance management and control systems. This new suggests cultivating behaviour groups in organizations simultaneously achieve objectives economic sustainability. Design/methodology/approach authors share common concern about future humanity nature. They challenge influential assumption man from neoclassical theory build on evolutionary science core design principles develop paradigm. Findings...

10.1108/qram-02-2024-0031 article EN Qualitative Research in Accounting & Management 2024-09-13

Purpose The purpose of this paper is to explore the role leadership in management accounting change processes and outcomes. Design/methodology/approach draws on an ethnographic study a Southern European company mobilizes leader–follower relations as method theory analyse observations. Findings findings show how dispute between two top managers can be amplified during process percolate throughout organization. authors identify five contested areas where amplifies by unfolding its reach other...

10.1108/aaaj-01-2020-4379 article EN cc-by Accounting Auditing & Accountability Journal 2021-04-29

How do accountants experience and respond to increasing productivity pressure a corresponding measurement regime monitoring their work? Drawing on case research in an international technology company, our study problematizes that tends build the assumption perform primarily routinized standardized tasks are amenable quantification. However, this can contradict business partner identity, which they perceive as entailing complex, varying, strategically oriented difficult measure evaluate...

10.1016/j.cpa.2022.102504 article EN cc-by Critical Perspectives on Accounting 2022-08-04

In this paper, we describe our approach to the clickbait spoiling task of SemEval 2023.The core idea behind system is leverage pre-trained models capable Question Answering (QA) extract spoiler from article texts based on title without any task-specific training.Since oftentimes, these titles are not phrased as questions, automatically rephrase questions in order better suit pretraining QA-capable models.Also, fit much relevant context into model’s limited input size possible, propose...

10.18653/v1/2023.semeval-1.150 article EN cc-by Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) 2023-01-01
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