A Scoping Review on Agency Collaboration in Emergency Management Based on the 3C Model

2023 | Information Systems Frontiers | Citations: 0

Authors: Simona, Tenanoia; Taupo, Tauisi; Antunes, Pedro

Abstract: Most emergency responses involve collaborative efforts from teams operating in t ... Expand

Abstract: Most emergency responses involve collaborative efforts from teams operating in the field and in the backstage. Collaboration within and across agencies should therefore be regarded as an essential service in emergency management. We propose a conceptual lens to analyse the technological support to collaboration services in emergency management. The proposed lens is based on the 3C Model, which regards collaboration services as the articulation and composition of three other services: communication, coordination and cooperation. Using this lens, we conduct a scoping literature review of the emergency management domain. The review contributes to better understand the relationships between collaboration services and technology support in emergency management. Collapse

Topics: emergency management system support computer supported cooperative work mobile system information technology infrastructure

Methods: literature sample literature study qualitative content analysis structured literature research

Use of Analytics in Practice: The Need to Make Room for Creativity

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Simonovič, Mojca; Popovič, Aleš; Cerne, Matej

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Topics: IS discipline information system use decision making data quality data visualization

Methods: qualitative interview personal interview data transformation exploratory data analysis

Stretch Goals and Crowdfunding Success: The Trade-off between Likelihood to Invest and Contribution Amount

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Sindihebura, Tanguy Tresor; Pu, Xiaodie; Kuo, Vincent; Chen, Jin

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Topics: decision making crowdsourcing crowdfunding sensemaking

Methods: ordinary least square statistical hypothesis test regression discontinuity design robustness check theory development

Is #SDG13 Trending Online? Insights from Climate Change Discussions on Twitter

2023 | Information Systems Frontiers | Citations: 0

Authors: Singh, Prabhsimran; Kaur, Surleen; Baabdullah, Abdullah M.; Dwivedi, Yogesh K.; Sharma, Sandeep; Sawhney, Ravinder Singh; Das, Ronnie

Abstract: Anthropogenic activities over the past few decades have led to increased vulnera ... Expand

Abstract: Anthropogenic activities over the past few decades have led to increased vulnerability of environmental and ecological stability on this planet. Accelerated climate change is one such subset of the environmental problems that threatens the very existence of humankind in twenty first century. Governments, United Nations (UN) and other humanitarian agencies across the globe have developed and devised strategies for climate action that requires grater public awareness and actions. Social media has played a vital role in information dissemination and raising public awareness of climate change in the digital era. To this aid, an upsurge has been documented in recent times regarding discussions over climate change with #SDG13 (Sustainable Development Goals) at its epicenter. Following the principles of Actor Network Theory (ANT) we analyzed a large volume of Twitter data to understand general citizens’ perception and attitude towards climate change. Our findings unveil people’s opinion on causes and concerns related to barriers of adopting a more sustainable consumption and lifestyle practice. There is also a growing apathy towards sluggish government actions that makes little difference. People were also found to exchange innovative concepts and measures towards mitigating the effects of climate change. Collapse

Topics: Twitter climate change social media Sustainable Development Goal personality

Methods: parametric test qualitative content analysis Student's t-test statistical hypothesis test ANOVA

Theories: actor network theory theory of economic growth

How to Maximize Clicks for Display Advertisement in Digital Marketing? A Reinforcement Learning Approach

2023 | Information Systems Frontiers | Citations: 0

Authors: Singh, Vinay; Nanavati, Brijesh; Kar, Arpan Kumar; Gupta, Agam

Abstract: One of the core challenges in digital marketing is that the business conditions ... Expand

Abstract: One of the core challenges in digital marketing is that the business conditions continuously change, which impacts the reception of campaigns. A winning campaign strategy can become unfavored over time, while an old strategy can gain new traction. In data driven digital marketing and web analytics, A/B testing is the prevalent method of comparing digital campaigns, choosing the winning ad, and deciding targeting strategy. A/B testing is suitable when testing variations on similar solutions and having one or more metrics that are clear indicators of success or failure. However, when faced with a complex problem or working on future topics, A/B testing fails to deliver and achieving long-term impact from experimentation is demanding and resource intensive. This study proposes a reinforcement learning based model and demonstrates its application to digital marketing campaigns. We argue and validate with actual-world data that reinforcement learning can help overcome some of the critical challenges that A/B testing, and popular Machine Learning methods currently used in digital marketing campaigns face. We demonstrate the effectiveness of the proposed technique on real actual data for a digital marketing campaign collected from a firm. Collapse

Topics: marketing management artificial intelligence privacy big data web page

Methods: computational algorithm simulation experiment reinforcement learning descriptive statistic

From the Editor

2023 | Information Systems Management | Citations: 0

Authors: Sipior, Janice C.

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Topics: corporate social responsibility research and development digital innovation innovation management perceived usefulness

Methods: theory development design artifact

Protection Motivation Theory in Information Security Behavior Research: Reconsidering the Fundamentals

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

Authors: Siponen, Mikko; Rönkkö, Mikko; Fufan, Liu; Haag, Steffi; Laatikainen, Gabriella

Abstract: Scholars commonly use protection motivation theory (PMT) by Rogers to examine i ... Expand

Abstract: Scholars commonly use protection motivation theory (PMT) by Rogers to examine information systems (IS) security behaviors and behavioral intentions. A recent, influential paper by Boss, Galletta, Lowry, Moody, and Polak (2015; hereafter BGLMP) in MIS Quarterly outlines correct and incorrect uses of PMT in Information Security behavior research. In this paper, we review some of BGLMP's key recommendations, such as the claim that all IS behavior studies that apply PMT should always use the model of the full theory, contain and measure fear, and measure actual behaviors. We defend an interpretation of Rogers (1975Rogers ( , 1983) that differs from the interpretation that BGLMP propose. We present evidence that Rogers' PMT and the empirical evidence do not adequately support many of BGLMP's suggestions and that these suggestions contradict good scientific practices (e.g., restricting the use of the method of isolation) that the philosophy of science and the original literature on PMT uphold. As a result, if reviewers and editors continue to embrace these recommendations, they could hinder the progress of IS behavior research by not allowing isolation or the combination of different theoretical components. In contrast to BGLMP's paper, we argue that further PMT research can focus on isolated PMT components and combine them with other theories. Some of our ideas (e.g., isolation) are not PMT-specific and could be useful for IS research in general. In summary, we contest BGLMP's recommendations and offer revised recommendations in return. Collapse

Topics: malware data security behavioral intention self efficacy social influence

Methods: functional magnetic resonance imaging literature study experiment experimental group structural equation modeling

Theories: protection motivation theory technology threat avoidance theory

Unlocking the Potential of ChatGPT: A Grounded Theory Exploration of its Impact on the Business Landscape

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Sirithumgul, Pornpat

Abstract: ChatGPT is an AI tool that performs natural language processing (NLP) tasks, pr ... Expand

Abstract: ChatGPT is an AI tool that performs natural language processing (NLP) tasks, primarily language generation. Its standout feature is question answering, providing quick and accurate answers to a wide range of questions. This paper aims to demonstrate the use of ChatGPT for data collection and to examine its impact on the business landscape through a grounded theory approach. The analysis, based on grounded theory principles, highlights ChatGPT's ability to automate and augment human tasks across multiple industries. This paper presents examples of 11 industries, including marketing and advertising, retail, healthcare, banking and finance, news and media, e-commerce, social media, legal services, hospitality, telecommunications, and government, that are likely to be affected by ChatGPT. It also suggests changes in customer behavior and business models being adapted to the disruptions caused by ChatGPT in these industries. Collapse

Topics: artificial intelligence marketing management communication service infrastructure social media electronic commerce

Methods: chatGPT qualitative coding grounded theory natural language processing qualitative content analysis

Introduction to the Minitrack on Leveraging IT, AI and Data Science for Healthcare Beyond the Hospital: Learning from Scientific, Operational, and Business Perspectives

2023 | HICSS | Citations: 0

Authors: Sittig, Scott; Topaz, Maxim; Koru, Gunes

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Topics: human computer interaction human in the loop task productivity decision making

Methods: machine learning autoencoder electroencephalography

Responsible Artificial Intelligence (AI) for Digital Health and Medical Analytics

2023 | Information Systems Frontiers | Citations: 0

Authors: Sivarajah, Uthayasankar; Wang, Yichuan; Olya, Hossein; Mathew, Sherin

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Topics: artificial intelligence health information system responsible artificial intelligence healthcare analytics usage intention

Methods: survey personal interview literature sample structured literature research bibliometric analysis