Value Implications of Sourcing Electronic Health Records: The Role of Physician Practice Integration

2023 | Information Systems Research | Citations: 0

Authors: Bardhan, Indranil R.; Bao, Chenzhang; Ayabakan, Sezgin

Abstract: Should hospitals source electronic health records (EHR) systems from a single ve ... Expand

Abstract: Should hospitals source electronic health records (EHR) systems from a single vendor or multiple vendors to deliver high-value care? We study hospitals’ EHR sourcing strategies based on their degree of integration with physician practices and its impact on the value of healthcare delivered. We propose a novel framework to define healthcare value as the extent to which a hospital effectively expends clinical resources to deliver services that improve patient outcomes. Drawing on modular systems and transaction cost economics theories, we propose a moderated-mediation model that explores the pathways through which EHR sourcing strategies can create value in healthcare. We test our research hypotheses on a large, longitudinal sample of U.S. hospitals and observe that hospitals with EHR configurations closer to single sourcing strategies exhibit greater health information sharing compared with hospitals with multisourced EHR systems. Furthermore, we find that hospital-physician practice integration moderates the impact of single sourcing on health information sharing, which in turn, improves value. Specifically, tighter integration between hospitals and physician practices can create greater value if it is aligned with hospitals’ EHR sourcing strategies. As the healthcare industry moves toward value-based payment reform, our findings provide a useful roadmap to practitioners and policy makers to improve the performance of hospitals and healthcare providers. History: Rajiv Kohli, Senior Editor; Sunil Wattal, Associate Editor. Funding: I.R. Bardhan thanks the Foster Parker Centennial Professorship and the Dean’s Research Excellence Grant at the McCombs School of Business at UT Austin for generous financial support. C. Bao thanks the Spears Fellowship at Oklahoma State University for financial support. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.1183. Collapse

Topics: information exchange healthcare data health information system accounting database system

Methods: longitudinal research survey robustness check econometric modeling design artifact

Theories: transaction cost economics general systems theory institutional theory

The effects of cyber regulations and security policies on organizational outcomes: a knowledge management perspective

2023 | European Journal of Information Systems | Citations: 0

Authors: Hovav, Anat; Gnizy, Itzhak; Han, Jinyoung

Abstract: Knowledge management (KM) has emerged as an operational and strategic organisati ... Expand

Abstract: Knowledge management (KM) has emerged as an operational and strategic organisational tool. However, the influence of recent cyber regulations (CR) and security policies (SP) on the usefulness of KM, are absent from the literature. This study focuses on the intersection of knowledge management and knowledge fortification. The study employs survey data from a sample of firms and utilises partial least squares (PLS) with extensive post hoc analyses, to examine the influence of CR and SP on KM core processes (acquisition, sharing, and utilisation) and subsequently on the operational effectiveness and strategic performance of firms. Contrary to prior research, we found that external knowledge sharing negatively affected performance. These findings support our assertion that KM processes are tied to contingencies that change the relationship between KM outcomes. Collapse

Topics: knowledge sharing organizational productivity security policy knowledge utilization knowledge acquisition

Methods: survey post-hoc analysis partial least squares regression computational algorithm descriptive statistic

How does e-government use affect citizens’ trust in government? Empirical evidence from China

2023 | Information & Management | Citations: 0

Authors: Li, Yan; Shang, Huping

Abstract: Although much literature has discussed the potential of e-government for improvi ... Expand

Abstract: Although much literature has discussed the potential of e-government for improving citizens’ trust in govern­ ment, the question of how e-government use affects citizens’ trust in government remains underexplored. To investigate the driving mechanism of the effects of different types of e-government use on trust in government, this research develops a conceptual framework based on the institutional-based trust theory, the process-based trust theory, and the expectancy-disconfirmation model. Based on data collected from 1668 citizen users living in five cities in China, the study verifies the proposed mediated moderation model and then tests the robustness of the results using process analysis. The results reveal that citizens’ use of e-government revitalizes their trust in government indirectly, via influence on citizens’ evaluation of government integrity, performance, and responsiveness from the experience of using e-government, while the mediating effects of citizens’ evaluation of government on relationship between e-government use and public trust are diminished by citizens’ expectations for their government. The analysis also offers strong support for the conclusion that the effects of different types of e-government use on public trust are differentially distributed among multiple levels of governments in China. Collapse

Topics: government system website information storage and retrieval system internet technology social capital

Methods: survey descriptive statistic data transformation moderation analysis factor analysis

Theories: trust theory

The Future of System Goals and Human Rights: Data Governance, AI Ethics, and Lessons Learned in Covid-19 for Research Data

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Purian, Ronit; Meyers, Natalie; Ho, Shuyuan

Abstract: Underlying the growing use of emerging technologies, Artificial Intelligence (A ... Expand

Abstract: Underlying the growing use of emerging technologies, Artificial Intelligence (AI) and Data Visitation (DV), is a concern to ensure that data subjects are protected. In this meeting we will explore the current state of data tools, guidelines, and proposals for policies and regulations promoting trust in AI and federated systems which will ultimately advance Open Science (RDA AI-DV, 2023) and fundamental human rights.Related questions for discussion would be: Should we regulate the development of core technologies or the implementation of new applications? In the age of acceleration, how to design relevant and effective AI regulation. How to approach the design of robust principles, and how to validate them. Collapse

Topics: artificial intelligence innovation management

Methods: large language model

Boosting Benefits, Offsetting Obstacles – the Impact of Explanations on AI Users’ Task Performance

2023 | International Conference on Business Informatics | Citations: 0

Authors: Walter, Marie Christine; Broder, Hanna Rebecca; Förster, Maximilian

Abstract: Artificial Intelligence (AI) bears the potential to inform human decision-makin ... Expand

Abstract: Artificial Intelligence (AI) bears the potential to inform human decision-making in a large variety of domains. However, its "black box" character poses an obstacle to human agency in interaction with AI-based decision support. A possible solution comes from the research field of Explainable AI (XAI), which generates explanations that reveal AI's functioning to users. Our research on XAI focuses on understanding the immediate and prolonged effect of XAIbased decision support on task performance. To this end, we conducted a randomized between-subjects online experiment with 289 participants performing the task of image classification. We find that explanations along AI decisions boost the positive effect of AI-based decision support on task performance during interaction. Furthermore, explanations can counterbalance the potential negative effect on prolonged task performance, which manifests after AI-based decision support is being withdrawn. Our findings contribute to understanding the impact of XAI on the outcome of human-AI interaction. Collapse

Topics: artificial intelligence task productivity decision support explainable artificial intelligence decision support system

Methods: experimental group experiment Mann Whitney U test nonparametric test statistical hypothesis test

Instademic: Deriving spatiotemporal contact networks from tagged social media images

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Schwartz, David G.

Abstract: Identification of persons who have come in contact with COVID-19 and future vir ... Expand

Abstract: Identification of persons who have come in contact with COVID-19 and future viruses is necessary for early identification of potential carriers to improve public health. A Spatiotemporal Colocation Network (SCN) represents entities in terms of being present at the same location within a specified temporal window. A key factor of image sharing systems is user annotation, or tagging. By generating the network of collocated entities in image files across a temporal window we can map expected viral diffusion and identify potential carriers. Actual absolute location of entities is not important here. In colocation analysis for virus carrier detection "relative colocation" is important. i.e. we want to know that X was collocated with Y at time t, and Y was collocated with Z at time t' which will enable us to build a "contact network". Our proposed method uses tagging meta-data and does not require sharing of actual images. Collapse

Topics: Instagram social media pandemic privacy

Methods: computational algorithm qualitative interview survey

Concepts for Modeling Smart Cities

2022 | Business & Information Systems Engineering | Citations: 0

Authors: Bastidas, Viviana; Reychav, Iris; Ofir, Alon; Bezbradica, Marija; Helfert, Markus

Abstract: The rapid increase and adoption of new Information Technologies (IT) in Smart Ci ... Expand

Abstract: The rapid increase and adoption of new Information Technologies (IT) in Smart Cities make the provision of public services more efficient. However, various municipalities and cities deal with challenges to transform and digitize city services. Smart Cities have a high degree of complexity where offered city services must respond to the concerns and goals of multiple stakeholders. These city services must also involve diverse data sources, multi-domain applications, and heterogeneous systems and technologies. Enterprise Architecture (EA) is an instrument to deal with complexity in both private and public organizations. The paper defines the concepts for modeling Smart Cities in ArchiMate, guided by a design-oriented research approach. Particularly, the focus of this paper is on the concepts for modeling city services and underlying information systems which are added to the EA metamodel. The metamodel is demonstrated in a real-world case and validated by Smart City domain experts. The findings suggest that these concepts are essential to achieve the Smart City strategy (e.g., city goals and objectives), as well as to meet the needs of different city stakeholders. Furthermore, an extension mechanism allows addressing the alignment of business and IT in complex environments such as Smart Cities, by adjusting EA metamodels and notations. This can help cities to design, visualize, and communicate architecture decisions when managing the transformation and digitalization of public services. Collapse

Topics: smart city digital dashboard application programming interface participatory design social media

Methods: case study design science metamodel design requirement design principle

Altering Credibility Through Short-term Government Branding: A Digital Framing Experiment

2022 | International Conference on Business Informatics | Citations: 0

Authors: Behar-Villegas, Erick; Koç, Hasan

Abstract: Government branding is a practice that can be tied to promoting an institution ( ... Expand

Abstract: Government branding is a practice that can be tied to promoting an institution (long-term orientation) or a particular administration and its elected official (short-term orientation), using both physical and digital artifacts. Reviewing the related work in the literature, we document the existence and visibility of an administration-dependent government brand in a developing country by mining social media data and the Google 2019 Spanish corpus. We test the hypothesis that administration-dependent government iconography (e.g. a logo) can lead to a change in the perceived credibility of public information in digital environments. Using an experimental survey approach that parallels the application of framing, we find that short term orientated government iconography can be detrimental to the credibility of government institutions, while they can also be seen as social opportunity costs, as budgets invested in them can be capitalized in later elections and not in the mission of the temporarily branded government body. Collapse

Topics: marketing management database system social media website decision making

Methods: experimental group survey experiment literature study statistical hypothesis test

Theories: semiotic theory

Model-based Analysis of Data Inaccuracy Awareness in Business Processes

2022 | Business & Information Systems Engineering | Citations: 0

Authors: Evron, Yotam; Soffer, Pnina; Zamansky, Anna

Abstract: Problem definition: Data errors in business processes can be a source for except ... Expand

Abstract: Problem definition: Data errors in business processes can be a source for exceptions and hamper business outcomes. Relevance: The paper proposes a method for analyzing data inaccuracy issues already at process design time, in order to support process designers by identifying process parts where data errors might remain unrecognized, so decisions could be taken based on inaccurate data. Methodology: The paper follows design science, developing a method as an artifact. The conceptual basis is the notion of data inaccuracy awareness – the ability to tell whether potential discrepancies between real and IS values may exist. Results: The method was implemented on top of a Petri net modeling tool and validated in a case study performed in a large manufacturing company of safety–critical systems. Managerial implications: Anticipating consequences of data inaccuracy already during process design can help avoiding them at runtime. Collapse

Topics: business process design data accuracy data quality business process management

Methods: computational algorithm business process modeling case study qualitative interview modeling language

Trust and Distrust Network in Group Deception: An Exploratory study

2022 | Americas Conference on Information Systems | Citations: 0

Authors: Ge, Saiying

Abstract: To investigate group deception and demote insider threats, this study leverages ... Expand

Abstract: To investigate group deception and demote insider threats, this study leverages network analysis to build a ranking of individuals' trustworthiness. Based on a large-scale, international experiment derived from an adversarial group game, we constructed directed unweighted social networks to analyze the dynamic trust and distrust interaction between individuals. By utilizing orally addressed positive and negative opinions, the networks capture the shifting of trustworthiness. As the outcome of collective group intelligence, the results support that node trustworthiness scores indicate actual trustworthiness. We also show that deception outcomes moderate the relationship between deception and node trustworthiness scores. This study contributes to the growing body of computational methods applied to trust in information systems, providing insights into deception and deception detection in small group contexts. Collapse

Topics: social network deception detection insider threat data encryption

Methods: computational algorithm network analysis experiment survey linear regression analysis