--- _id: '20212' abstract: - lang: eng text: "Ideational impact refers to the uptake of a paper's ideas and concepts by subsequent research. It is defined in stark contrast to total citation impact, a measure predominantly used in research evaluation that assumes that all citations are equal. Understanding ideational impact is critical for evaluating research impact and understanding how scientific disciplines build a cumulative tradition. Research has only recently developed automated citation classification techniques to distinguish between different types of citations and generally does not emphasize the conceptual content of the citations and its ideational impact. To address this problem, we develop Deep Content-enriched Ideational Impact Classification (Deep-CENIC) as the first automated approach for ideational impact classification to support researchers' literature search practices. We evaluate Deep-CENIC on 1,256 papers citing 24 information systems review articles from the IT business value domain. We show that Deep-CENIC significantly outperforms state-of-the-art benchmark models. We contribute to information systems research by operationalizing the concept of ideational impact, designing a recommender system for academic papers based on deep learning techniques, and empirically exploring the ideational impact of the IT business value domain.\r\n" article_number: '113432' author: - first_name: Julian full_name: Prester, Julian last_name: Prester - first_name: Gerit full_name: Wagner, Gerit last_name: Wagner - first_name: Guido full_name: Schryen, Guido id: '72850' last_name: Schryen - first_name: Nik Rushdi full_name: Hassan, Nik Rushdi last_name: Hassan citation: ama: 'Prester J, Wagner G, Schryen G, Hassan NR. Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach. Decision Support Systems. 2021;140(January).' apa: 'Prester, J., Wagner, G., Schryen, G., & Hassan, N. R. (2021). Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach. Decision Support Systems, 140(January), Article 113432.' bibtex: '@article{Prester_Wagner_Schryen_Hassan_2021, title={Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach}, volume={140}, number={January113432}, journal={Decision Support Systems}, author={Prester, Julian and Wagner, Gerit and Schryen, Guido and Hassan, Nik Rushdi}, year={2021} }' chicago: 'Prester, Julian, Gerit Wagner, Guido Schryen, and Nik Rushdi Hassan. “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach.” Decision Support Systems 140, no. January (2021).' ieee: 'J. Prester, G. Wagner, G. Schryen, and N. R. Hassan, “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach,” Decision Support Systems, vol. 140, no. January, Art. no. 113432, 2021.' mla: 'Prester, Julian, et al. “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach.” Decision Support Systems, vol. 140, no. January, 113432, 2021.' short: J. Prester, G. Wagner, G. Schryen, N.R. Hassan, Decision Support Systems 140 (2021). date_created: 2020-10-27T13:28:21Z date_updated: 2022-06-10T06:55:32Z ddc: - '000' department: - _id: '277' file: - access_level: open_access content_type: application/pdf creator: hsiemes date_created: 2020-10-27T13:31:01Z date_updated: 2020-10-27T13:31:01Z file_id: '20213' file_name: DECSUP-D-20-00312 - PREPUBLICATION.pdf file_size: 440903 relation: main_file file_date_updated: 2020-10-27T13:31:01Z has_accepted_license: '1' intvolume: ' 140' issue: January keyword: - Ideational impact - citation classification - academic recommender systems - natural language processing - deep learning - cumulative tradition language: - iso: eng oa: '1' publication: Decision Support Systems status: public title: 'Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach' type: journal_article user_id: '72850' volume: 140 year: '2021' ... --- _id: '20844' abstract: - lang: eng text: Review papers are essential for knowledge development in IS. While some are cited twice a day, others accumulate single digit citations over a decade. The magnitude of these differences prompts us to analyze what distinguishes those reviews that have proven to be integral to scientific progress from those that might be considered less impactful. Our results highlight differences between reviews aimed at describing, understanding, explaining, and theory testing. Beyond the control variables, they demonstrate the importance of methodological transparency and the development of research agendas. These insights inform all stakeholders involved in the development and publication of review papers. article_number: '103427' author: - first_name: Gerit full_name: Wagner, Gerit last_name: Wagner - first_name: Julian full_name: Prester, Julian last_name: Prester - first_name: Maria full_name: Roche, Maria last_name: Roche - first_name: Guido full_name: Schryen, Guido id: '72850' last_name: Schryen - first_name: Alexander full_name: Benlian, Alexander last_name: Benlian - first_name: Guy full_name: Paré, Guy last_name: Paré - first_name: Mathieu full_name: Templier, Mathieu last_name: Templier citation: ama: Wagner G, Prester J, Roche M, et al. Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study. Information & Management. 2021;58(3). apa: Wagner, G., Prester, J., Roche, M., Schryen, G., Benlian, A., Paré, G., & Templier, M. (2021). Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study. Information & Management, 58(3), Article 103427. bibtex: '@article{Wagner_Prester_Roche_Schryen_Benlian_Paré_Templier_2021, title={Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study}, volume={58}, number={3103427}, journal={Information & Management}, author={Wagner, Gerit and Prester, Julian and Roche, Maria and Schryen, Guido and Benlian, Alexander and Paré, Guy and Templier, Mathieu}, year={2021} }' chicago: Wagner, Gerit, Julian Prester, Maria Roche, Guido Schryen, Alexander Benlian, Guy Paré, and Mathieu Templier. “Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study.” Information & Management 58, no. 3 (2021). ieee: G. Wagner et al., “Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study,” Information & Management, vol. 58, no. 3, Art. no. 103427, 2021. mla: Wagner, Gerit, et al. “Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study.” Information & Management, vol. 58, no. 3, 103427, 2021. short: G. Wagner, J. Prester, M. Roche, G. Schryen, A. Benlian, G. Paré, M. Templier, Information & Management 58 (2021). date_created: 2020-12-29T11:52:03Z date_updated: 2022-06-10T06:53:12Z ddc: - '000' department: - _id: '277' file: - access_level: open_access content_type: application/pdf creator: hsiemes date_created: 2020-12-29T11:49:57Z date_updated: 2020-12-29T11:49:57Z file_id: '20845' file_name: INFMAN_Scientific Impact of Review Papers - Prepublication version.pdf file_size: 1584950 relation: main_file file_date_updated: 2020-12-29T11:49:57Z has_accepted_license: '1' intvolume: ' 58' issue: '3' keyword: - Literature review - review papers - scientometric - scientific impact - citation analysis language: - iso: eng oa: '1' publication: Information & Management status: public title: Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study type: journal_article user_id: '72850' volume: 58 year: '2021' ... --- _id: '24280' abstract: - lang: eng text: 'Challenges in decisions on technical changes are the lack of knowledge about the expected impact and change propagation. Currently, no literature study contains a systematic differentiation and evaluation of existing approaches, which is a prerequisite for practitioners to select a suitable approach. This research aims at defining differentiation criteria as well as generally applicable requirements for evaluation. A four-step approach is used: systematic literature review on approaches for impact analysis of engineering changes (1), categorization and prioritization of approaches based on reoccuring elements (2), derivation of context specific requirements for evaluation (3), and evaluation of approaches (4). The result indicates existing potential of object-oriented modeling approaches.' author: - first_name: Iris full_name: Gräßler, Iris id: '47565' last_name: Gräßler orcid: 0000-0001-5765-971X - first_name: Dominik full_name: Wiechel, Dominik id: '67161' last_name: Wiechel citation: ama: 'Gräßler I, Wiechel D. Systematische Bewertung von Auswirkungsanalysen des Engineering Change Managements. In: Krause D, Paetzold K, Wartzack S, eds. DS 111: Proceedings of the 32nd Symposium Design for X. ; 2021. doi:10.35199/dfx2021.12' apa: 'Gräßler, I., & Wiechel, D. (2021). Systematische Bewertung von Auswirkungsanalysen des Engineering Change Managements. In D. Krause, K. Paetzold, & S. Wartzack (Eds.), DS 111: Proceedings of the 32nd Symposium Design for X. https://doi.org/10.35199/dfx2021.12' bibtex: '@inproceedings{Gräßler_Wiechel_2021, title={Systematische Bewertung von Auswirkungsanalysen des Engineering Change Managements}, DOI={10.35199/dfx2021.12}, booktitle={DS 111: Proceedings of the 32nd Symposium Design for X}, author={Gräßler, Iris and Wiechel, Dominik}, editor={Krause, Dieter and Paetzold, Kristin and Wartzack, Sandro}, year={2021} }' chicago: 'Gräßler, Iris, and Dominik Wiechel. “Systematische Bewertung von Auswirkungsanalysen Des Engineering Change Managements.” In DS 111: Proceedings of the 32nd Symposium Design for X, edited by Dieter Krause, Kristin Paetzold, and Sandro Wartzack, 2021. https://doi.org/10.35199/dfx2021.12.' ieee: 'I. Gräßler and D. Wiechel, “Systematische Bewertung von Auswirkungsanalysen des Engineering Change Managements,” in DS 111: Proceedings of the 32nd Symposium Design for X, Tutzing, 2021, doi: 10.35199/dfx2021.12.' mla: 'Gräßler, Iris, and Dominik Wiechel. “Systematische Bewertung von Auswirkungsanalysen Des Engineering Change Managements.” DS 111: Proceedings of the 32nd Symposium Design for X, edited by Dieter Krause et al., 2021, doi:10.35199/dfx2021.12.' short: 'I. Gräßler, D. Wiechel, in: D. Krause, K. Paetzold, S. Wartzack (Eds.), DS 111: Proceedings of the 32nd Symposium Design for X, 2021.' conference: end_date: 28-09-2021 location: Tutzing name: Symposium Design for X (DFX2021) start_date: 27-09-2021 date_created: 2021-09-13T14:45:10Z date_updated: 2023-05-09T18:22:30Z department: - _id: '152' doi: 10.35199/dfx2021.12 editor: - first_name: Dieter full_name: Krause, Dieter last_name: Krause - first_name: Kristin full_name: Paetzold, Kristin last_name: Paetzold - first_name: Sandro full_name: Wartzack, Sandro last_name: Wartzack keyword: - Engineering Change Management - Impact Analysis - Engineering Changes - Model-based Systems Engineering - Product Developmen language: - iso: eng publication: 'DS 111: Proceedings of the 32nd Symposium Design for X' publication_status: published quality_controlled: '1' status: public title: Systematische Bewertung von Auswirkungsanalysen des Engineering Change Managements type: conference user_id: '67161' year: '2021' ... --- _id: '17019' abstract: - lang: eng text: The scientific impact of research papers is multi-dimensional and can be determined quantitatively by means of citation analysis and qualitatively by means of content analysis. Accounting for the widely acknowledged limitations of pure citation analysis, we adopt a knowledge-based perspective on scientific impact to develop a methodology for content-based citation analysis which allows determining how papers have enabled knowledge development in subsequent research (knowledge impact). As knowledge development differs between research genres, we develop a new knowledgebased citation analysis methodology for the genre of standalone literature reviews (LRs). We apply the suggested methodology to the IS business value domain by manually coding 22 LRs and 1,228 citing papers (CPs) and show that the results challenge the assumption that citations indicate knowledge impact. We derive implications for distinguishing knowledge impact from citation impact in the LR genre. Finally, we develop recommendations for authors of LRs, scientific evaluation committees and editorial boards of journals how to apply and benefit from the suggested methodology, and we discuss its efficiency and automatization. author: - first_name: Guido full_name: Schryen, Guido id: '72850' last_name: Schryen - first_name: Gerit full_name: Wagner, Gerit last_name: Wagner - first_name: Alexander full_name: Benlian, Alexander last_name: Benlian citation: ama: 'Schryen G, Wagner G, Benlian A. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre.; 2020.' apa: 'Schryen, G., Wagner, G., & Benlian, A. (2020). Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre.' bibtex: '@book{Schryen_Wagner_Benlian_2020, title={Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre}, author={Schryen, Guido and Wagner, Gerit and Benlian, Alexander}, year={2020} }' chicago: 'Schryen, Guido, Gerit Wagner, and Alexander Benlian. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre, 2020.' ieee: 'G. Schryen, G. Wagner, and A. Benlian, Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre. 2020.' mla: 'Schryen, Guido, et al. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre. 2020.' short: 'G. Schryen, G. Wagner, A. Benlian, Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre, 2020.' date_created: 2020-05-19T15:12:33Z date_updated: 2022-01-06T06:53:02Z ddc: - '000' department: - _id: '277' file: - access_level: open_access content_type: application/pdf creator: hsiemes date_created: 2020-05-19T15:09:28Z date_updated: 2020-05-19T15:09:28Z file_id: '17020' file_name: SSRN-id3581789.pdf file_size: 487351 relation: main_file file_date_updated: 2020-05-19T15:09:28Z has_accepted_license: '1' keyword: - Scientific impact - knowledge impact - content-based citation analysis - methodology language: - iso: eng main_file_link: - open_access: '1' url: https://ssrn.com/abstract=3581789 oa: '1' status: public title: 'Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre' type: working_paper user_id: '61579' year: '2020' ... --- _id: '9575' abstract: - lang: eng text: Many ultrasonic processes are based on the mechanical contact of oscillating parts. Within ultrasonic machining (drilling, milling, grinding) micro impacts lead to abrasion at the processed workpiece and hopefully do not damage the tool. In ultrasonic motors ideally neither part gets worn. Thus the appropriate design of contact partners as well as their kinematics is a substantial task during the development of such devices. A first step to optimize contact mechanics is to understand their behavior and dependencies on parameter variations, such as vibration amplitude and pre-stress of the impacting parts. For a detailed understanding models validated with convincing experimental data from measurements are absolutely essential. This paper focuses on simple vibro-impact experiments which can be used as benchmark data for future models. The setup of the experiment and first experimental investigations are described in detail. author: - first_name: Jens full_name: Twiefel, Jens last_name: Twiefel - first_name: Christian full_name: Potthast, Christian last_name: Potthast - first_name: Maik full_name: Mracek, Maik last_name: Mracek - first_name: Tobias full_name: Hemsel, Tobias id: '210' last_name: Hemsel - first_name: Thomas full_name: Sattel, Thomas last_name: Sattel - first_name: Jörg full_name: Wallaschek, Jörg last_name: Wallaschek citation: ama: Twiefel J, Potthast C, Mracek M, Hemsel T, Sattel T, Wallaschek J. Fundamental experiments as benchmark problems for modeling ultrasonic micro-impact processes. Journal of Electroceramics. 2008;20(3-4):209-214. doi:10.1007/s10832-007-9169-4 apa: Twiefel, J., Potthast, C., Mracek, M., Hemsel, T., Sattel, T., & Wallaschek, J. (2008). Fundamental experiments as benchmark problems for modeling ultrasonic micro-impact processes. Journal of Electroceramics, 20(3–4), 209–214. https://doi.org/10.1007/s10832-007-9169-4 bibtex: '@article{Twiefel_Potthast_Mracek_Hemsel_Sattel_Wallaschek_2008, title={Fundamental experiments as benchmark problems for modeling ultrasonic micro-impact processes}, volume={20}, DOI={10.1007/s10832-007-9169-4}, number={3–4}, journal={Journal of Electroceramics}, publisher={Springer US}, author={Twiefel, Jens and Potthast, Christian and Mracek, Maik and Hemsel, Tobias and Sattel, Thomas and Wallaschek, Jörg}, year={2008}, pages={209–214} }' chicago: 'Twiefel, Jens, Christian Potthast, Maik Mracek, Tobias Hemsel, Thomas Sattel, and Jörg Wallaschek. “Fundamental Experiments as Benchmark Problems for Modeling Ultrasonic Micro-Impact Processes.” Journal of Electroceramics 20, no. 3–4 (2008): 209–14. https://doi.org/10.1007/s10832-007-9169-4.' ieee: J. Twiefel, C. Potthast, M. Mracek, T. Hemsel, T. Sattel, and J. Wallaschek, “Fundamental experiments as benchmark problems for modeling ultrasonic micro-impact processes,” Journal of Electroceramics, vol. 20, no. 3–4, pp. 209–214, 2008. mla: Twiefel, Jens, et al. “Fundamental Experiments as Benchmark Problems for Modeling Ultrasonic Micro-Impact Processes.” Journal of Electroceramics, vol. 20, no. 3–4, Springer US, 2008, pp. 209–14, doi:10.1007/s10832-007-9169-4. short: J. Twiefel, C. Potthast, M. Mracek, T. Hemsel, T. Sattel, J. Wallaschek, Journal of Electroceramics 20 (2008) 209–214. date_created: 2019-04-29T13:06:13Z date_updated: 2022-01-06T07:04:16Z department: - _id: '151' doi: 10.1007/s10832-007-9169-4 intvolume: ' 20' issue: 3-4 keyword: - Contact measurements - Vibro-impact - Ultrasonic application language: - iso: eng page: 209-214 publication: Journal of Electroceramics publication_identifier: issn: - 1385-3449 publisher: Springer US quality_controlled: '1' status: public title: Fundamental experiments as benchmark problems for modeling ultrasonic micro-impact processes type: journal_article user_id: '55222' volume: 20 year: '2008' ...