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Information systems frontiers
Kluwer Academic Publishers
Information systems frontiers

Kluwer Academic Publishers

1387-3326

Information systems frontiers/Journal Information systems frontiersEISCIISTPAHCI
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    Application and Adoption of Emerging Technologies: From AI to Metaverse

    Johnny ChanGabrielle PekoDavid SundaramValeria Sadovykh...
    405-408页
    查看更多>>摘要:Emerging technologies have the capacity to drive both incremental improvements and transformative shifts, enabling societies and organizations to address pressing challenges and seize new opportunities. The academic studies and industry perspectives presented in this special issue jointly highlight that competitive advantage is not solely about achieving efficiency gains, it is also about redefining market dynamics and reconfiguring traditional business models.

    Modelling Patient Longitudinal Data for Clinical Decision Support: A Case Study on Emerging Al Healthcare Technologies

    Shuai NiuJing MaQing YinZhihua Wang...
    409-427页
    查看更多>>摘要:The COVID-19 pandemic has highlighted the critical need for advanced technology in healthcare. Clinical Decision Support Systems (CDSS) utilizing Artificial Intelligence (AI) have emerged as one of the most promising technologies for improving patient outcomes. This study's focus on developing a deep state-space model (DSSM) is of utmost importance, as it addresses the current limitations of AI predictive models in handling high-dimensional and longitudinal electronic health records (EHRs). The DSSM's ability to capture time-varying information from unstructured medical notes, combined with label-dependent attention for interpretability, will allow for more accurate risk prediction for patients. As we move into a post-COVID-19 era, the importance of CDSS in precision medicine cannot be ignored. This study's contribution to the development of DSSM for unstructured medical notes has the potential to greatly improve patient care and outcomes in the future.

    Blockchain: Exploring its Impact on the Business Models of Australian Accounting Firms

    Maria Cadiz DyballRavi Seethamraju
    429-448页
    查看更多>>摘要:This paper reports on a study that investigated how the business models of Australian accounting firms are impacted by audit clients using blockchain technology. Semi-structured interviews with a range of stakeholders including audit partners from big-4 accounting firms reveal that firms are gradually adapting their business models by offering value propositions that involve efficiency, complementarities and novelty, despite a formative blockchain ecosystem in Australia. This ecosystem is characterized by clients' reluctance to use blockchain platforms for financial systems and a lack of clear direction on applicable accounting standards and consensus on blockchain standards and governance.

    A Taxonomy of Home Automation: Expert Perspectives on the Future of Smarter Homes

    Shabnam FakhrHosseiniChaiwoo LeeSheng-Hung LeeJoseph Coughlin...
    449-466页
    查看更多>>摘要:Recent advancements in digital technologies, including artificial intelligence (AI), Internet of Things (IoT), and information and communication technologies (ICT), are transforming homes into interconnected ecosystem of services. Yet, discourse on home technologies remains fragmented due to inconsistent terminologies. This paper addresses the lack of a framework, studying distinctions between smart and non-smart homes and forecasting connectivity and automation growth. Experts (21) participated in online surveys and interviews in 2021, exploring language, structure, and technical/social aspects of basic and smarter homes. Quantitative survey data and qualitative interview analyses yield insights on defining smarter homes, barriers to adoption, and framework improvements to establish universal definitions. This study underscores the urgency of harmonizing language and concepts in the domain of smart homes, revealing user understanding gaps and usability issues as barriers. This bridges gaps for consumer engagement and tech adoption.

    Qualitative Insights into Organizational Value Creation: Decoding Characteristics of Metaverse Platforms

    Fabian TingelhoffRaphael SchultheissSofia Marlena SchoebelJan Marco Leimeister...
    467-486页
    查看更多>>摘要:The significance of metaverse platforms is growing in both research and practical applications. To utilize the chances and opportunities metaverse platforms offer, research and practice must understand how these platforms create value, which has not been adequately explored. Our research explores the characteristics of metaverse platforms that facilitate value creation for organizations in both B2B and B2C sectors. Employing a qualitative inductive approach, we conducted 15 interviews with decision-makers from international corporations active in the metaverse. We identified 26 metaverse platform characteristics, which we categorized into six dimensions based on the DeLone and McLean Information Systems success model. Subsequently, we provide examples to illustrate the application of these identified characteristics within metaverse platforms. This study contributes to the academic discourse by uncovering the characteristics that shape the competitive landscape of emerging metaverse platforms. Leveraging these characteristics may offer metaverse providers a competitive edge in attracting complementary organizations to their platforms.

    Comparing Machine Learning and Deep Learning Techniques for Text Analytics: Detecting the Severity of Hate Comments Online

    Alaa MarshanFarah Nasreen Mohamed NizarAthina loannouKonstantina Spanaki...
    487-505页
    查看更多>>摘要:Social media platforms have become an increasingly popular tool for individuals to share their thoughts and opinions with other people. However, very often people tend to misuse social media posting abusive comments. Abusive and harassing behaviours can have adverse effects on people's lives. This study takes a novel approach to combat harassment in online platforms by detecting the severity of abusive comments, that has not been investigated before. The study compares the performance of machine learning models such as Naive Bayes, Random Forest, and Support Vector Machine, with deep learning models such as Convolutional Neural Network (CNN) and Bi-directional Long Short-Term Memory (Bi-LSTM). Moreover, in this work we investigate the effect of text pre-processing on the performance of the machine and deep learning models, the feature set for the abusive comments was made using unigrams and bigrams for the machine learning models and word embeddings for the deep learning models. The comparison of the models' performances showed that the Random Forest with bigrams achieved the best overall performance with an accuracy of (0.94), a precision of (0.91), a recall of (0.94), and an F1 score of (0.92). The study develops an efficient model to detect severity of abusive language in online platforms, offering important implications both to theory and practice.

    The Crystal Ball of User-Generated Content: Indication of P2P Lending Platform Failure

    Wenjie Huang
    507-521页
    查看更多>>摘要:User-generated content (UGC) provides us with a rich channel to aggregate public information. The study examines whether UGC could predict the failure of P2P lending platforms, which also depends on crowds' involvement and contribution. Specifically, we examine a web forum with user comments on the P2P platforms and extract consumer opinion valence and opinion concentration with natural language processing (NLP) techniques. Time-dependent Cox regression analysis shows that consumer opinion has a strong prediction power for platform survival. If consumer opinions on a platform are positive and concentrated, a platform is more likely to survive. Besides, the two factors show a substitution effect to each other. This study deepens our understanding of UGC, which has significant implications for research. It also forms an application of information technology on risk assessment, by expanding the risk indicators to UGC-related information sources.

    Design and Implementation of an MoT Driven Information System: A Case Study

    Shivam GuptaSachin ModgilBharat BhushanUthayasankar Siva rajah...
    523-537页
    查看更多>>摘要:Information systems are critical for companies since they offer quick and easy access to complex and significant data in a structured manner to make informed and effective business decisions. Hence, the objective of this study is to conceptualize and implement an innovative information system in the case study organization. The study identified the requirements for Organizing Vision Theory (OVT) and developed architecture based on Organizational Information Processing Theory (OIPT). This architecture is designed and developed using the Industrial Internet of Things (IIoT) to support a self-organizing vision and enhanced information processing. The study's contribution lies in developing and executing an integrative architecture of IIoT-driven information systems from the lenses of OVT and OIPT. Further, this study contributes by mapping OVT elements (such as transparency, continuity, and coherence) and OIPT elements (information processing needs and capabilities) to drive value and knowledge through a robust architecture of IIoT-driven information systems. The study also highlights the contribution of IIoT-based information systems to a new knowledge system, facilitating better decision-making by professionals.

    Remote Working and Task Innovativeness - an Integrated Resource Based View and Antecedent-Behaviour-Consequence Perspective

    Michael D. DzanduSylvester HatsuSergio De Cesare
    539-562页
    查看更多>>摘要:In response to the COVID-19 pandemic, organisations across the world have been adopting different strategies, including remote working (RW), to continue with their normal routines. However, little is known about the impact of RW strategy on task innovativeness, organisational performance, and employees' continuance intention to remote work post-COVID-19. Using a variant of the resource-based view and the antecedent-behaviour-consequence models, data was collected from a total of 643 employees in the United Kingdom (UK) and Ghana; and analysed using structural equation modelling (Study 1). The results showed and confirmed a positive effect of RW strategy, information systems (IS) resource availability and capabilities on employees' task innovativeness leading to improved organisational performance. Further, interviews were then conducted with 22 participants from Ghana and the UK (Study 2) to understand the reasons for the outcomes in Study 1. These provided a basis for employees' continuance intention to remote work. The need to upgrade the current levels of IS resources to support job redesign and responsive workaround in times of uncertainty is highlighted for the consideration of businesses, organisations, and policymakers.

    Integrating the IT Use Literature: Construct Validity and a Holistic Nomological Framework

    Jason A.WilliamsSaurabh Gupta
    563-583页
    查看更多>>摘要:IT use is the fundamental construct of IS research. However, despite its centrality, the literature lacks agreement on the nature of the construct and its antecedents, which has led to a fragmented nomological network. We provide a comprehensive review of the existing empirical IT use constructs, analyze their overlaps, and distill them into three dominant constructs: adoption, static IT use, and innovative IT use. We then develop an overarching framework for extant IT use research by developing a holistic model. Each IT use construct has its own set of organizational and technological antecedents as well as psychological drivers. Our model synthesizes existing research and is empirically validated using a web-based survey of business technology users. These findings resolve issues in the conceptualization of IT use, integrate the fragmented IT literature, and help avoid the illusion of knowledge accumulation. The outcomes of the paper provide guidelines for researchers on the conceptualization of IT use as well as for practitioners regarding purposeful use-based design. Areas for future research in IT use are also recommended.