Introduction to Policies and Strategies for Digital Government

2023 | HICSS | Citations: 0

Authors: Cordella, A.; Gualdi, F.; Bannister, F.; Park, K.

Abstract: ... Expand

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Topics: value creation information system use government system open innovation perceived ease of use

Methods: design methodology

Credibility of Virtual Influencers: The Role of Design Stimuli, Knowledge Cues, and User Disposition

2023 | HICSS | Citations: 0

Authors: Cornelius, Samia; Leidner, Dorothy; Benbya, Hind

Abstract: Virtual Influencers (VIs) are digital influencers that can look and behave like ... Expand

Abstract: Virtual Influencers (VIs) are digital influencers that can look and behave like human beings but project themselves as “robots”. They influence people’s attitudes and behaviors through their presence and interaction. While human-like design can lead to acceptance, additional information about machine-like description (robot) can create conflict about the influencer’s identity and lead to unfavorable social responses. Social perceptions are also subjective. In this study, we examine the influence of human-like design, knowledge cues, and user disposition on user perceptions of VI credibility. In doing so, we present a case for the substitution of human influencers by “lesser human” counterparts in the context of social media. Collapse

Topics: robotic social media Instagram social network digital platform

Methods: experiment laboratory experiment experimental design mediation analysis repeated measures ANOVA

Significance of Visual Realism – Eeriness, Credibility, and Persuasiveness of Virtual Influencers

2023 | HICSS | Citations: 0

Authors: Cornelius, Samia; Leidner, Dorothy; Bina, Saman

Abstract: Though human-like design can increase favorable social behaviors like familiarit ... Expand

Abstract: Though human-like design can increase favorable social behaviors like familiarity and acceptance, it can also question the technology’s effectiveness, rationality, and functionality. With capabilities that allow technology to become more and more human-like, researchers and practitioners continue to delve over the efficacy and deployment of humanness in design. In this research paper, we measure positive and negative perceptions towards different levels of humanness among an emerging form of digital character: the virtual influencer. In doing so, we assess the efficacy of human-like design among virtual influencers by manipulating their visual realism and measuring the effect of this manipulation on their credibility and persuasiveness. Our experimental design also allows us to explore the existence of the uncanny valley in a novel technological context. Collapse

Topics: Instagram social media digital media logistics management word of mouth

Methods: experiment Wald test parametric test logistic regression binomial logistic regression

Theories: uncanny valley theory

Using machine learning to create and capture value in the business models of small and medium-sized enterprises

2023 | International Journal of Information Management | Citations: 0

Authors: Costa-Climent, Ricardo; Haftor, Darek M.; Staniewski, Marcin W.

Abstract: Start-ups have revolutionised many economic ecosystems, becoming innovation pion ... Expand

Abstract: Start-ups have revolutionised many economic ecosystems, becoming innovation pioneers around the world. Most are based on data-driven business models, particularly relying on machine learning technologies. However, not all start-ups that use machine learning technologies manage to create and capture value. The existing literature on the use value enabled by information technologies does not take into account the unique capabilities of machine learning. The theory of data network effects offers a promising explanation of how to create value using machine learning. However, it does not explicitly describe how to capture value using machine learning. In contrast, business model theory explains how companies use technologies to create and capture value, but not specifically through the use of machine learning technology. Therefore, this study aims to improve the theo­ retical understanding of the key drivers of value creation and capture in start-ups with business models driven by this kind of technology. Statistical techniques are used in a sample of 122 start-ups to explore the theoretical relationships between these two theories. The analysis reveals the link between specific value creation and capture factors of the two theories, such as efficiency, novelty, and performance expectancy. The study also provides evidence of the need to adopt a co-evolutionary perspective of value creation and capture through the use of machine learning. Collapse

Topics: value creation Twitter social media database system website

Methods: descriptive statistic theory development regression analysis method general multivariate regression model linear regression analysis

Appreciating the Performance of Neuroscience Mining in NeuroIS Research: A Case Study on Consumer's Product Perceptions in the Two UI Modes-Dark UI vs. Light UI

2023 | HICSS | Citations: 0

Authors: Costello, F.; Kim, M.; Lee, K.

Abstract: The goal of the current study was to explore the potential of neuroscience mini ... Expand

Abstract: The goal of the current study was to explore the potential of neuroscience mining (NSM) for comprehending NeuroIS paradigms. NSM is an interdisciplinary field that combines neuroscience and business mining, which is the application of big data analytics, computational social science, and other areas to business problems. NSM makes it possible to apply predictive models to NeuroIS datasets, such as machine learning and deep learning, to find intricate patterns hidden by conventional regression-based analysis. First, we predicted 28 individual EEG power spectra separated brainwave data using a Random Forest (RF) model. Next, we used NSM to precisely predict how consumers would perceive a product online, depending on whether a light or dark user interface (UI) mode was used. The model was then used to extract more precise results that could not be obtained using more conventional linear-based analytical models using sensitivity analysis. The benefits of using NSM in NeuroIS research are as follows: (1) it can relieve the burden of the threehorned dilemma described by Runkel and McGrath; (2) it can enable more temporal data to be directly analyzed on the target variables; and (3) sensitivity analysis can be performed on a condition/individual basis, strengthening the rigor of findings by reducing sample bias that can be lost in grand averaging of data when analyzed with methods like GLM. Collapse

Topics: user interface big data usability tablet artificial intelligence

Methods: electroencephalography NeuroIS computational algorithm sensitivity analysis machine learning

Unexpected Events in IT Projects: A Conceptual Review and Research Agenda

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

Authors: Coulon, Thibaut; Paré, Guy; Barki, Henri

Abstract: When unexpected events occur, IT project teams need to react appropriately in o ... Expand

Abstract: When unexpected events occur, IT project teams need to react appropriately in order to limit the potentially negative, and sometimes disastrous consequences of such events. Yet, while past research has identified unexpected events as being an important aspect to consider when managing projects, the existing literature does not provide a clear conceptualization of this concept which limits the development of new theories and thus the ability to guide practitioners. Based on a literature review and to advance our understanding of unexpected events in IT projects and their effective management, and facilitate future theoretical developments on IT project management, the present paper develops a conceptualization that clearly distinguishes this concept from other closely related ones, as well as proposing a research framework that links it to IT project team responses and their consequences. A detailed research agenda, integrating current advances in different fields, is developed to highlight future research avenues. Collapse

Topics: IT project project management IT project team database system sensemaking

Methods: literature sample literature study synthesis literature filtering

Barking Up the Wrong Tree? Reconsidering Policy Compliance as a Dependent Variable within Behavioral Cybersecurity Research

2023 | HICSS | Citations: 0

Authors: Cram, W. Alec; D'Arcy, John

Abstract: A rich body of research examines the cybersecurity behavior of employees, with a ... Expand

Abstract: A rich body of research examines the cybersecurity behavior of employees, with a particular focus on explaining the reasons why employees comply with (or violate) organizational cybersecurity policies. However, we posit that this emphasis on policy compliance is susceptible to several notable limitations that could lead to inaccurate research conclusions. In this commentary, we examine the limitations of using cybersecurity policy compliance as a dependent variable by presenting three assertions: (1) the link between policy compliance and organizational-level outcomes is ambiguous; (2) policies vary widely in terms of their clarity and completeness; and (3) employees have an inconsistent familiarity with their own organization’s cybersecurity policies. Taken together, we suggest that studying compliance with cybersecurity policies reveals only a partial picture of employee behavior. In response, we offer recommendations for future research. Collapse

Topics: IT security data breach computer data storage cybersecurity behavior top management support

Methods: survey linguistic analysis company material

‘What a waste of time’: An examination of cybersecurity legitimacy

2023 | Information Systems Journal | Citations: 0

Authors: Cram, W. Alec; D'Arcy, John

Abstract: Managers who oversee cybersecurity policies commonly rely on managerial encourag ... Expand

Abstract: Managers who oversee cybersecurity policies commonly rely on managerial encouragement (e.g., rewards) and employee characteristics (e.g., attitude) to drive compliant behaviour. However, whereas some cybersecurity initiatives are perceived as reasonable by employees, others are viewed as a ‘waste of time’. This research introduces employee judgements of cybersecurity legitimacy as a new angle for understanding employee compliance with cybersecurity policies over time. Drawing on theory from the organisational legitimacy and cybersecurity literature, we conduct a three-wave survey of 529 employees and find that, for each separate wave, negative legitimacy judgements mediate the relationship between management support and compliance, as well as between cybersecurity inconvenience and compliance. Our results provide support for cybersecurity legitimacy as an important influence on employee compliance with cybersecurity initiatives. This is significant because it highlights to managers the importance of not simply expecting compliant employee behaviour to follow from the introduction of cybersecurity initiatives, but that employees need to be convinced that the initiatives are fair and reasonable. Interestingly, we did not find sufficient support for our expectation that the increased likelihood of a cybersecurity incident will moderate the legitimacy-policy compliance relationship. This result suggests that the legitimacy perceptions of employees are unyielding to differences in the risk characteristics of the cybersecurity incidents facing organisations. Collapse

Topics: IT security top management support cybersecurity behavior pandemic privacy

Methods: survey SEM tool structural equation modeling survey design confirmatory factor analysis

Theories: fairness theory organizational behavior theory

Accounting for Uncertainty in Deceptive Signaling for Cybersecurity

2023 | HICSS | Citations: 0

Authors: Cranford, E.; Ou, H.; Gonzalez, C.; Tambe, M.; Lebiere, C.

Abstract: Deceptive signaling has proven an effective method that can aid security analys ... Expand

Abstract: Deceptive signaling has proven an effective method that can aid security analysists and deter attacks on unprotected targets by strategically revealing information to an attacker. However, recent research has shown that uncertainty in real-time information processing can have a negative impact on the effectiveness of the defense algorithm. The current research developed a new algorithm, dubbed Confusion Signaling, that aims to account for uncertainty in an abstracted insider attack scenario. The results of cognitive model simulations and a human behavioral experiment reveal interesting and unexpected reactions under uncertainty. We discuss the implications of these findings for signaling algorithms that aim to account for uncertainty using deceptive signaling for cybersecurity. Collapse

Topics: IT security decision making accounting physical security

Methods: computational algorithm experiment simulation machine learning survey

Extending the Cyber Capabilities of Small to Midsize Businesses

2023 | HICSS | Citations: 0

Authors: Croasdell, Dave; Lathrop, Logan; Elste, James

Abstract: This project explores disparities in the cybersecurity practices of small to mid ... Expand

Abstract: This project explores disparities in the cybersecurity practices of small to midsize businesses in comparison to larger organizations with more resources to allocate to cybersecurity. While the adoption of technical solutions offers many advantages, SMBs are struggling to maintain good cybersecurity practices in this era of digital transformation. Considering the overall security climate it is clear that SMBs are vulnerable to cyber threats, are being attacked more often and lack the proper resources or knowledge to effectively address threats. This paper proposes a model for SMBs to enhance their cyber capabilities with cybersecurity assessments and regular training provided by the National Guard’s Defensive Cyber Operations Element (DCO-E). Leveraging the capabilities of the DCO-E, in effect a “national cybersecurity squad,” to support a national cyber readiness and education campaign could be an effective method to enhance the cybersecurity of SMBs. The proposed model is supported with a initial survey results showing a promising willingness and support from SMBs. Collapse

Topics: IT security IT security threat business continuity planning

Methods: survey