Self-reporting Limitations in Information Systems Design Science Research

2023 | Business & Information Systems Engineering | Citations: 0

Authors: Barata, João; da Cunha, Paulo Rupino; de Figueiredo, António Dias

Abstract: Besides increasing transparency and demonstrating awareness of the author, self- ... Expand

Abstract: Besides increasing transparency and demonstrating awareness of the author, self-reported limitations enable other researchers to effectively learn from, build on, validate, and extend the original work. However, this topic is understudied in information systems design science research (IS DSR). The study has assessed 243 IS DSR papers published in the period 2013–2022 and built a typology of the 19 most relevant limitations, organized into four categories: (1) Input Knowledge and Technology, (2) Research Process, (3) Resulting Artifact, and (4) Design Knowledge. Further, the contribution suggests actions to mitigate each type of limitation throughout the entire IS DSR project lifecycle. The authors have also created guidelines to report the limitations in a useful way for knowledge accumulation. The proposed typology and guidelines enable reviewers and editors to better frame self-reported limitations, assess rigor and relevance more systematically, and provide more precise feedback. Moreover, the contribution may help design researchers identify, mitigate, and effectively communicate the uncertainties inherent to all scientific advances. Collapse

Methods: literature sample literature study design science theory development synthesis

Natural Language Processing for Medical Texts – A Taxonomy to Inform Integration Decisions into Clinical Practice

2023 | International Conference on Information Systems | Citations: 0

Authors: Braun, Marvin; Kolbe, Lutz; Neumann, Caspar

Abstract: Electronic health records (EHR) have significantly amplified the volume of info ... Expand

Abstract: Electronic health records (EHR) have significantly amplified the volume of information accessible in the healthcare sector. Nevertheless, this information load also translates into elevated workloads for clinicians engaged in extracting and generating patient information. Natural Language Process (NLP) aims to overcome this problem by automatically extracting and structuring relevant information from medical texts. While other methods related to artificial intelligence have been implemented successfully in healthcare (e.g., computer vision in radiology), NLP still lacks commercial success in this domain. The lack of a structured overview of NLP systems is exacerbating the problem, especially with the emergence of new technologies like generative pre-trained transformers. Against this background, this paper presents a taxonomy to inform integration decisions of NLP systems into healthcare IT landscapes. We contribute to a better understanding of how NLP systems can be integrated into daily clinical contexts. In total, we reviewed 29 papers and 36 commercial NLP products. Collapse

Topics: health information system artificial intelligence database system healthcare data information technology infrastructure

Methods: natural language processing computational algorithm information extraction literature sample NLP application

Doing strategic information systems research for public value

2023 | Journal of Strategic Information Systems | Citations: 0

Authors: Desouza, Kevin C.; Dawson, Gregory S.

Abstract: This editorial has two purposes. First, we address why a focus on doing impactf ... Expand

Abstract: This editorial has two purposes. First, we address why a focus on doing impactful research that creates public value is vital for the present and the future of the information systems (IS) field. Second, we outline practices we have used to build research programs that promote the study of strategic IS opportunities and challenges to create public value.The published focus of the Journal of Strategic Information Systems is "… on the strategic management, business and organizational issues associated with the introduction and utilization of information systems….and the incorporation of IT into organizations' strategic thinking, strategy alignment [and] organizational arrangements…". As such, the journal is not interested in information systems in isolation, but rather in the larger impact of information systems on the organization, and concomitantly, on society more broadly. Guy Gable, former Editor-in-Chief (EIC) for JSIS quotes an unnamed scholar who said, "I personally find it unethical, if research is not driven by some type of relationship to 'contribution of 'societal value'. This is something we have forgotten and neglected in our frantic race for publishing more and getting a higher h-index … Without contribution to attainment of societal values, the IS field does not have any meaning, and should be eradicated" (Gable, 2020). Collapse

Topics: artificial intelligence participatory design podcast government system societal challenge

Methods: design methodology machine learning

Online Information Filtering: The Role of Contextual Cues in Electronic Networks of Practice

2023 | ACM SIGMIS Database | Citations: 0

Authors: Fadel, Kelly J.; Jensen, Matthew L.; Meservy, Thomas O.

Abstract: Online forums sponsored by Electronic Networks of Practice are commonly used to ... Expand

Abstract: Online forums sponsored by Electronic Networks of Practice are commonly used to exchange information related to problem solving, but the quality of solutions posted on forums can vary widely. To assist knowledge seekers, most forums offer contextual cues that signal solution quality, such as endorsements by the question poster, experts, or other community members. However, the influence of these cues on information-filtering decisions, particularly when presented simultaneously, remains poorly understood. This study draws on signaling theory to develop hypotheses about how four cue dimensions-source, valence, format, and volume-shape information filtering on an online forum. Results from three choice-based conjoint studies show that some sources are more influential than others and that positive cues weigh more heavily on filtering decisions than negative cues. Results also show that cues tend to be more influential when they employ a more granular format and reflect the input of a larger number of individuals. Collapse

Topics: decision making information storage and retrieval system logistics management website information exchange

Methods: conjoint analysis survey statistical hypothesis test literature study theory development

Theories: signaling theory

Disentangling the Tension Between Automation and Augmentation with Artificial Intelligence in Healthcare

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Grüning, Maximilian; Trenz, Manuel; Santos, Daniel Pinto dos

Abstract: Artificial Intelligence (AI) has the potential to be a powerful tool for the fu ... Expand

Abstract: Artificial Intelligence (AI) has the potential to be a powerful tool for the future of medical professionals. However, we recognize a tension between AI independence (automation) and human involvement (augmentation) in medical decision-making. To resolve this tension, we conducted a systematic literature review to gain an overview of the current knowledge of AI in healthcare. In this systematic literature review, we search and analyze the leading journals in management and information systems for a period from 2012 to 2022. We find that several tasks related to diagnosis, treatment, or administrative work can be effectively automated or augmented with AI. We contribute to information systems research by highlighting possible scenarios for the effective use of AI in medical decision-making. Understanding and mitigating these tensions are particularly important for medical decision-makers, regulators, and managers who are struggling with guidelines for the appropriate use of AI and certification of accountability. Collapse

Topics: artificial intelligence decision making robotic expert system robotic process automation

Methods: literature sample structured literature research literature study artificial neural network business process modeling

How software as a service simultaneously affords organizational agility and inertia

2023 | Journal of Strategic Information Systems | Citations: 0

Authors: Khalil, Sabine; Winkler, Till J.

Abstract: Although cloud computing is associated with organizational agility, anecdotal ev ... Expand

Abstract: Although cloud computing is associated with organizational agility, anecdotal evidence points to resistance to cloud computing by employees in information technology (IT) units. We explored the links between software as a service (SaaS) and organizational agility by conducting two stages of interviews with key informants in large organizations, and by employing affordance and inertia-theoretical lenses. Two basic affordances emerged from the retroductive data analysis –implementing quickly and sourcing independently – which in turn yielded two higher-level affordances: trialing alternatives and self-organizing business teams. We developed a model that explains how and why these four affordances enhance agility by accelerating the sensing-toacting process of organizations. We also describe how five categories of organizational inertia in IT units hinder agility. Our main contribution is how adopting SaaS applications enables orga­ nizational agility while highlighting the role of IT unit inertia in SaaS affordance actualization processes. Collapse

Topics: software as a service affordance cloud computing user experience usability

Methods: qualitative interview field study personal interview theoretical contribution longitudinal research

Theories: theory of affordance

Patient centricity in IS healthcare – a framework proposing enablement, empowerment, and engagement of patients as individual IS users

2023 | International Conference on Business Informatics | Citations: 0

Authors: Maschewski, Jan; Lemmer, Kristina

Abstract: ... Expand

Abstract: Collapse

Topics: health information system information system use IT workforce digital transformation database system

Methods: literature study design artifact literature sample grounded theory structured literature research

Theories: theory of everything

A Framework for Developing Cross-Sectional Surveys

2023 | International Conference on Information Systems | Citations: 0

Authors: Mehler, Maren; Ellenrieder, Sara; Akdag, Merve Turan; Wagner, Amina; Benbasat, Izak

Abstract: Although the use of cross-sectional surveys is widespread in Information System ... Expand

Abstract: Although the use of cross-sectional surveys is widespread in Information Systems (IS) research and related disciplines, few papers address the survey development process. In order to ensure a standardized approach, comparable and valid results, as well as to guide researchers in quantitative research methods, this paper presents a framework for the survey development process in IS. Based on a Design Science Research (DSR) methodology, the framework was derived from a structured literature review of leading IS journals and refined by three focus group discussions among IS experts. The framework includes several steps and considerations on the sample size, variable selection, their order in the survey, protection against bias, ensuring validity and reliability, and testing before administering the survey with a focus on documentation and reporting. Our framework supports quantitative research by providing a structured approach to create reliable and credible surveys. Collapse

Topics: website implicit knowledge ease of use privacy anonymity

Methods: survey focus group survey design literature study cross sectional survey

Can ICT enhance workplace inclusion? ICT-enabled workplace inclusion practices and a new agenda for inclusion research in Information Systems

2023 | Journal of Strategic Information Systems | Citations: 0

Authors: Tarafdar, Monideepa; Rets, Irina; Hu, Yang

Abstract: Workplace inclusion is a strategic concern for organizations, yet challenging to ... Expand

Abstract: Workplace inclusion is a strategic concern for organizations, yet challenging to achieve. We investigate how Information and Communications Technology (ICT) use can enhance workplace inclusion. Based on qualitative data collected from a leading UK organization, we conceptualize four ICT-enabled workplace inclusion practices – Expanding, Orienting, Enculturating, and Reflecting. Each practice entails the use of multiple ICT applications to enhance workplace in­ clusion through a distinct set of organizational activities. We also highlight the Reflecting practice as key in enhancing other practices. Drawing from our findings, we develop a framework for ICTenabled workplace inclusion that constitutes inter-related ICT-enabled practices focused on multiple organizational activities. We contribute to the literature on the strategic role of ICT for organizational/social good, a current area of research priority for the information systems discipline. Collapse

Topics: information system use social media video conference pandemic business process management

Methods: qualitative interview theory development qualitative coding ontological modelling machine learning

Guidelines for the Development of Three-Level Models: Bridging Levels of Analysis and Integrating Contextual Influences in IS Research

2023 | Journal of the Association for Information Systems | Citations: 0

Authors: Venkatesh, Viswanath; Weng, Qin; Rai, Arun; Maruping, Likoebe

Abstract: The use of multilevel analysis has steadily increased in information systems (IS ... Expand

Abstract: The use of multilevel analysis has steadily increased in information systems (IS) research. Many studies are doing an admirable job of integrating two-level models into their examination of IS phenomena. However, two-level models are limited in how well they enable researchers to (1) more explicitly incorporate context into theory development and testing and (2) bridge the existing gap between micro- and macrolevel research by focusing on intervening mechanisms that link hierarchically distal levels of analysis. Three-level models have emerged as a potential way to address these limitations. While the literature has clearly outlined the mechanics of how to estimate three-level models, there is very little, if any, guidance on when and how to integrate the use of such models with theory development. Consequently, IS researchers have little guidance to inform their decisions about integrating the use of three-level models with their theory development and testing. In this article, we identify the circumstances under which IS researchers should consider the use of three-level models, develop guidelines about how to map the use of three-level model estimation to the theoretical objectives, and provide an illustration of how to implement the guidelines. Collapse

Topics: offshoring accounting IT project personality internet technology

Methods: theory development hierarchical linear modeling literature study likelihood-ratio test descriptive statistic

Theories: technology acceptance model big five model