M. Böhm, Sebastian Floerecke, A. Herzfeldt, Dominik Knoblich
In 2021, the global mergers & acquisitions (M&A) market remained strong, with transaction volumes reaching $5.9 trillion and an increasing number of large deals. Despite the strategic impact and the high priority of every transaction, many of them fail to deliver the anticipated value due to inferior implementation, both from a post-merger IT integration (IT PMI) and an IT carve-out perspective. This paper explains how one of the world’s largest engineering companies (TURBO) has developed IT M&A capabilities to ensure both efficient post-merger IT-PMI and IT-carve-out projects. Their key to success relies on two principles, (1) standardization of the IT integration and respectively IT separation (carve-out) process, and (2) standardization of the enterprise architecture. By establishing these principles, TURBO managed to reduce both time and costs of its IT integration and IT carve-out projects by on average 40 %. Based on this case study, the paper synthesizes four success factors that can inform managers of M&A active organizations to successfully build IT-PMI and IT-carve-out capabilities.
{"title":"Success Factors in Efficient Mergers & Acquisitions Activities: A Longitudinal Case Study from a Serial Acquirer and Divestor","authors":"M. Böhm, Sebastian Floerecke, A. Herzfeldt, Dominik Knoblich","doi":"10.30844/aistes.v6i2.28","DOIUrl":"https://doi.org/10.30844/aistes.v6i2.28","url":null,"abstract":"In 2021, the global mergers & acquisitions (M&A) market remained strong, with transaction volumes reaching $5.9 trillion and an increasing number of large deals. Despite the strategic impact and the high priority of every transaction, many of them fail to deliver the anticipated value due to inferior implementation, both from a post-merger IT integration (IT PMI) and an IT carve-out perspective. This paper explains how one of the world’s largest engineering companies (TURBO) has developed IT M&A capabilities to ensure both efficient post-merger IT-PMI and IT-carve-out projects. Their key to success relies on two principles, (1) standardization of the IT integration and respectively IT separation (carve-out) process, and (2) standardization of the enterprise architecture. By establishing these principles, TURBO managed to reduce both time and costs of its IT integration and IT carve-out projects by on average 40 %. Based on this case study, the paper synthesizes four success factors that can inform managers of M&A active organizations to successfully build IT-PMI and IT-carve-out capabilities.","PeriodicalId":240019,"journal":{"name":"AIS Transactions on Enterprise Systems","volume":"15 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120884152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chuanwen Dong, Akanksha Saxena, M. Bick, Andrea Sabia
In recent years, it has become conventional wisdom that artificial intelligence (AI) will be a game-changer in business. However, it remains challenging to adopt enterprise AI, i.e., enterprise software that incorporates AI techniques, into firms’ core and overall data strategies. In this study, we investigate the path to AI maturity and enterprise-wide adoption from a service provider perspective. Wecollect secondary data from 66white papers published by leading AI service providers in the past five years anduse topic modeling to understand the current themes in AI implementation. Thereafter, we analyze pertinent challengesthrough the lens of the classi-cal technology-organization-environment (TOE) framework. Our results demonstrate that, even though AI service providers have successfully addressed—at least in part—major questions faced by clients, there still exists a gap between the features demanded by end-users and the skills possessed and focused on by the AI service providers. For example, a vendor thinks his user does not have a clear vision on AI adoption, whereas the user finds it difficult to align the provided AI solution with the firm’s vision. We then argue that a holistic review of all TOE contexts is critical for closing the gap on the journey to AI maturity.
{"title":"On the Journey to AI Maturity: Understanding the Role of Enterprise Artificial Intelligence Service","authors":"Chuanwen Dong, Akanksha Saxena, M. Bick, Andrea Sabia","doi":"10.30844/aistes.v6i1.26","DOIUrl":"https://doi.org/10.30844/aistes.v6i1.26","url":null,"abstract":"In recent years, it has become conventional wisdom that artificial intelligence (AI) will be a game-changer in business. However, it remains challenging to adopt enterprise AI, i.e., enterprise software that incorporates AI techniques, into firms’ core and overall data strategies. In this study, we investigate the path to AI maturity and enterprise-wide adoption from a service provider perspective. Wecollect secondary data from 66white papers published by leading AI service providers in the past five years anduse topic modeling to understand the current themes in AI implementation. Thereafter, we analyze pertinent challengesthrough the lens of the classi-cal technology-organization-environment (TOE) framework. Our results demonstrate that, even though AI service providers have successfully addressed—at least in part—major questions faced by clients, there still exists a gap between the features demanded by end-users and the skills possessed and focused on by the AI service providers. For example, a vendor thinks his user does not have a clear vision on AI adoption, whereas the user finds it difficult to align the provided AI solution with the firm’s vision. We then argue that a holistic review of all TOE contexts is critical for closing the gap on the journey to AI maturity.","PeriodicalId":240019,"journal":{"name":"AIS Transactions on Enterprise Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121287379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Ellwart, Anna-Sophie Ulfert, C. Antoni, J. Becker, C. Frings, Kyra Göbel, Guido Hertel, A. Kluge, Sarah M. Meeßen, C. Niessen, Christoph Nohe, Dennis M. Riehle, Yannick Runge, Ute Schmid, Arnulf Schüffler, M. Siebers, S. Sonnentag, Tobias Tempel, M. Thielsch, Wilken Wehrt
Future work environments offer numerous technical applications to manage increasing amounts of information for organizations, teams, and individuals. Psychological concepts of intentional forgetting (IF) can be applied to improve the performance of work systems or to extend cognitive capacities of humans in technical systems. Different IF mechanisms have been suggested for assisting technology-aided IF, such as: (1) filtering of irrelevant or distressful information (e.g., by suppressing, deleting, or selecting), (2) delegating tasks from human to digital agents, changing roles, and reorganizing socio-digital work systems, or (3) systematic (re-)placement of retrieval cues or triggers to generate or suppress behavior. Due to these different underlying IF mechanisms, the implementation of IF at individual, team, and organizational level will differ substantially between work areas or systems. In order to gain a better understanding of how socio-digital applications of IF impact human behavior and reactions, it is necessary to (a) differentiate between relevant characteristics of socio-digital IF systems and (b) gain an understanding of how these characteristics impact users’ attitudes and performance. Thus, the present paper aims to classify and compare these characteristics of different applications of IF and introduces variables and methods to study psychological effects on users’ behavior, experience, and affective reactions.
{"title":"Intentional Forgetting in Socio-Digital Work Systems","authors":"T. Ellwart, Anna-Sophie Ulfert, C. Antoni, J. Becker, C. Frings, Kyra Göbel, Guido Hertel, A. Kluge, Sarah M. Meeßen, C. Niessen, Christoph Nohe, Dennis M. Riehle, Yannick Runge, Ute Schmid, Arnulf Schüffler, M. Siebers, S. Sonnentag, Tobias Tempel, M. Thielsch, Wilken Wehrt","doi":"10.30844/AISTES.V4I1.16","DOIUrl":"https://doi.org/10.30844/AISTES.V4I1.16","url":null,"abstract":"Future work environments offer numerous technical applications to manage increasing amounts of information for organizations, teams, and individuals. Psychological concepts of intentional forgetting (IF) can be applied to improve the performance of work systems or to extend cognitive capacities of humans in technical systems. Different IF mechanisms have been suggested for assisting technology-aided IF, such as: (1) filtering of irrelevant or distressful information (e.g., by suppressing, deleting, or selecting), (2) delegating tasks from human to digital agents, changing roles, and reorganizing socio-digital work systems, or (3) systematic (re-)placement of retrieval cues or triggers to generate or suppress behavior. Due to these different underlying IF mechanisms, the implementation of IF at individual, team, and organizational level will differ substantially between work areas or systems. In order to gain a better understanding of how socio-digital applications of IF impact human behavior and reactions, it is necessary to (a) differentiate between relevant characteristics of socio-digital IF systems and (b) gain an understanding of how these characteristics impact users’ attitudes and performance. Thus, the present paper aims to classify and compare these characteristics of different applications of IF and introduces variables and methods to study psychological effects on users’ behavior, experience, and affective reactions.","PeriodicalId":240019,"journal":{"name":"AIS Transactions on Enterprise Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133553537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
By working in different projects and different teams over years, employees acquire tacit knowledge unconsciously. It is represented through experiences and is intangible. This knowledge is embodied in our routines. Therefore, it is difficult to verbalize tacit knowledge. This paper introduces a practical approach for companies to use their tacit knowledge in order to become a learning organization. The results of a semi-standardized face-to-face-interview survey with participants (n=10) show to what extent a self-reflection can contribute to uncover and share tacit knowledge in an IT-organization. The answers of the participants were recorded, utilized, coded and analyzed qualitatively. The results show that the intervention can encourage the process of uncovering tacit knowledge. It is possible for the employees to see the past project problems from different perspectives via self-reflection. Thereby they are able to uncover the tacit dimension of their experience and gain new insights.
{"title":"Evaluation of Self-Reflection Training to Uncover Tacit Knowledge in a Learning Organization","authors":"Victoria Hasenstab, Manuel Pietzonka","doi":"10.30844/aistes.v4i1.13","DOIUrl":"https://doi.org/10.30844/aistes.v4i1.13","url":null,"abstract":"By working in different projects and different teams over years, employees acquire tacit knowledge unconsciously. It is represented through experiences and is intangible. This knowledge is embodied in our routines. Therefore, it is difficult to verbalize tacit knowledge. This paper introduces a practical approach for companies to use their tacit knowledge in order to become a learning organization. The results of a semi-standardized face-to-face-interview survey with participants (n=10) show to what extent a self-reflection can contribute to uncover and share tacit knowledge in an IT-organization. The answers of the participants were recorded, utilized, coded and analyzed qualitatively. The results show that the intervention can encourage the process of uncovering tacit knowledge. It is possible for the employees to see the past project problems from different perspectives via self-reflection. Thereby they are able to uncover the tacit dimension of their experience and gain new insights.","PeriodicalId":240019,"journal":{"name":"AIS Transactions on Enterprise Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132776860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-05-08DOI: 10.30844/AIS-TES.V4I1.12
Yannick Runge, C. Frings, Tobias Tempel
Many workspaces nowadays overload people with information – often with information that is irrelevant to the task at hand. Such information cannot only be distracting but additionally misleading, and can potentially impair the performance in relevant tasks. Here we set out to investigate how higher order cognition is influenced by such irrelevant or misleading information. Specifically we were interested in disentangling distraction effects due to task-irrelevant information from distraction effects due to misleading associations. To this end, we examined the solution rates for Remote Associates Test (RAT) items as a function of the presence of additional irrelevant or misleading word material, presented alongside the RAT items. Solving these kinds of word riddles is considered higher cognition as it is closely related to problem solving in real world scenarios. Additionally we manipulated the expectation of participants towards the nature of additional information across two experiments. In Experiment 1 participants believed that all additional words were irrelevant. In Experiment 2 they thought some of the information might be useful for their task. Alongside other manipulations we hereby ensured an attentional focus on the additional information in Experiment 2. Results showed, participants performed poorer in solving RAT items when irrelevant or misleading words were presented along with the RAT items compared to no additional presentation. Moreover misleading information was additionally interfering, but only if attentively processed. To avoid such distraction and misdirection, future personal information systems like the Semantic Desktop [1-2] can help by detecting and hiding temporarily irrelevant or misleading information.
{"title":"Hiding to hedge against information overload","authors":"Yannick Runge, C. Frings, Tobias Tempel","doi":"10.30844/AIS-TES.V4I1.12","DOIUrl":"https://doi.org/10.30844/AIS-TES.V4I1.12","url":null,"abstract":"Many workspaces nowadays overload people with information – often with information that is irrelevant to the task at hand. Such information cannot only be distracting but additionally misleading, and can potentially impair the performance in relevant tasks. Here we set out to investigate how higher order cognition is influenced by such irrelevant or misleading information. Specifically we were interested in disentangling distraction effects due to task-irrelevant information from distraction effects due to misleading associations. To this end, we examined the solution rates for Remote Associates Test (RAT) items as a function of the presence of additional irrelevant or misleading word material, presented alongside the RAT items. Solving these kinds of word riddles is considered higher cognition as it is closely related to problem solving in real world scenarios. Additionally we manipulated the expectation of participants towards the nature of additional information across two experiments. In Experiment 1 participants believed that all additional words were irrelevant. In Experiment 2 they thought some of the information might be useful for their task. Alongside other manipulations we hereby ensured an attentional focus on the additional information in Experiment 2. Results showed, participants performed poorer in solving RAT items when irrelevant or misleading words were presented along with the RAT items compared to no additional presentation. Moreover misleading information was additionally interfering, but only if attentively processed. To avoid such distraction and misdirection, future personal information systems like the Semantic Desktop [1-2] can help by detecting and hiding temporarily irrelevant or misleading information.","PeriodicalId":240019,"journal":{"name":"AIS Transactions on Enterprise Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115323950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Design science research is a common research method in the field of information systems (IS), as it bridges the gap between IS research and practice. The outcome of design science research are artifacts, which – besides others –can be prototypical applications, so-called IT artifacts. When such IT artifacts are evaluated as part of a design science research cycle, questionnaires and inter- views are a commonly used method. We have integrated the demonstration and evaluation phase of a web-based IT artifact, by developing a web-based infor- mation system which integrates both a web-based prototype with a questionnaire system. Our information system supports multiple studies, different versions of the IT artifact and several question-specific and participant-specific configura- tion options.
{"title":"A Web-Based Information System to Evaluate Different Versions of IT Artefacts in Online Experiments","authors":"Dennis M. Riehle, Stefan Fleischer, J. Becker","doi":"10.30844/AISTES.V4I1.10","DOIUrl":"https://doi.org/10.30844/AISTES.V4I1.10","url":null,"abstract":"\u0000 \u0000 \u0000Design science research is a common research method in the field of information systems (IS), as it bridges the gap between IS research and practice. The outcome of design science research are artifacts, which – besides others –can be prototypical applications, so-called IT artifacts. When such IT artifacts are evaluated as part of a design science research cycle, questionnaires and inter- views are a commonly used method. We have integrated the demonstration and evaluation phase of a web-based IT artifact, by developing a web-based infor- mation system which integrates both a web-based prototype with a questionnaire system. Our information system supports multiple studies, different versions of the IT artifact and several question-specific and participant-specific configura- tion options. \u0000 \u0000 \u0000","PeriodicalId":240019,"journal":{"name":"AIS Transactions on Enterprise Systems","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127421133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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