Applying Automated Text Analysis to Detect Ideologically-Motivated Manipulations in Mass-Media News

2023 | International Conference on Information Systems | Citations: 0

Authors: Babik, Iryna; Eker, Emily; Babik, Dmytro

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Topics: misinformation Google+

Methods: literature sample factorial experiment qualitative content analysis

Designing a Digital Marketing Analytics Operations Platform using Action Design Research

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Babu, Xavier; Motiwalla, Luvai

Abstract: Digital environment has transformed the work environment of marketing firms. Tr ... Expand

Abstract: Digital environment has transformed the work environment of marketing firms. Traditional marketing processes are repetitive, lack coordination, and are not dynamic or data-driven. To compete effectively in the digital world, marketing firms need a digital marketing analytics operations platform (DMAOP) optimized for data analytics, workflow, team coordination, and quick decision-making. We developed a DMAOP using a design science research model known as ADR. DMAOP uses data analytics leading to marketing decisions that create value with intelligent robotic processes assisting marketing practitioners in executing marketing actions. DMAOP is customized to a user's skill level, supporting marketing functions, advanced analytics, preserving privacy, and episodic reporting for users without technical skills. This study contributes to descriptive knowledge problem space by identifying the key aspects of DMAO. It also contributes to the "elaborated ADR" model with a new cycle, "personalization". Finally, it contributes to prescriptive knowledge and DMAOP instantiation with design science for digital platforms. Collapse

Topics: marketing management usability personalization marketing intelligence distributed computing

Methods: design science case study action design research design artifact design principle

Digital Forensics Use-Case of Blockchain Technology: A Review

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Badhon, Md Bahauddin; Carr, Nicholas; Hossain, Sazzad; Khan, M. R. H.; Sunna, Asura Akter; Uddin, Mohammed Majbah; Chavarria, Juan; Sultana, Tahmina

Abstract: Digital forensics is an ever-growing field of science that is heavily involved ... Expand

Abstract: Digital forensics is an ever-growing field of science that is heavily involved in various fields. However, because of the expanding complexity of computer science, many new problems have arisen for digital forensics such as data scalability and cloud computing forensics data privacy, data traceability, integrity, and chain of custody. Blockchain can be useful for digital forensics to ensure security, like Proof-of-Work and Proof-of-Stake. Proof-of-Work verifies that one node has done adequate computational work to other nodes on the network. Proof-of-Stake is a similar consensus mechanism but relates more to cryptocurrency. In literature, there are several attempts to synthesize the blockchain's digital forensics capabilities from a technical standpoint. After analyzing these review papers, we identify there is still a lack of classifying the solutions following an artifact classification taxonomy, understanding the broader impact of technical solutions following theories such as socio-technical theory, and summarizing the research contributions towards developing a design theory. The objective of this paper, thus, is to develop research propositions regarding the digital forensics use-case of blockchain following artifact taxonomy, socio-technical theory, and design theory. Collapse

Topics: blockchain digital forensics cryptocurrency

Methods: design theory literature study survey

Theories: socio technical theory

Quality Indicators of Online Cancer Communities from the Perspective of Cancer-Affected People

2023 | HICSS | Citations: 0

Authors: Badreddine, Basma; Blount, Yvette; Amrollahi, Alireza

Abstract: Online cancer communities established by non-profit cancer organisations help ca ... Expand

Abstract: Online cancer communities established by non-profit cancer organisations help cancer-affected people seeking information and facing emotional and psychological challenges to communicate and interact with a network of people suffering from similar issues. However, the quality features of online cancer communities from the perception of users of the information are under-researched. Using the factors credibility, content, and design, this study adopted a multi-theory perspective by integrating the Information Quality (IQ) assessment framework, the source credibility model, and the two-factor theory for website design to develop a framework to examine the quality indicators of online cancer communities. Data collected via semi-structured interviews with 14 participants showed that dimensions underlying content and credibility factors are crucial for using the online community. All dimensions underlying the design factor were essential factors, except for the visualisation of the website and privacy and data protection that constituted motivating factors for using the online community. Collapse

Topics: website design data quality privacy video conference user-generated content

Methods: qualitative interview literature study qualitative content analysis personal interview

Theories: two-factor theory

Dynamics of Trust: Unpacking Trust in Human-AI Collaboration in Decision-Making

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Baduna, Maryam; Hylving, Lena

Abstract: This literature review examines trust in AI-augmented decision-making systems i ... Expand

Abstract: This literature review examines trust in AI-augmented decision-making systems in collaborative settings. The analysis suggests that human characteristics, AI characteristics, the decision-making environment, and the collaboration setting are antecedents of human trust in AI. This literature review contributes to the theoretical knowledge of trust with a dynamic learned trust framework, which represents an integrated understanding of trust in AI in human-AI collaborative decision-making. The review also provides practical implications for AI designers and implementors for improving the trustworthiness and adoption of AI for human-AI collaboration. By providing insight for researchers and audiences in information systems, organization and management, this paper can serve as a starting point for investigating the nuances, complexities and dynamics of trust in human-AI relationships. Collapse

Topics: decision making artificial intelligence human AI collaboration human computer interaction expert system

Methods: literature study literature sample computational algorithm synthesis machine learning

Privacy Regulation and Its Unintended Consequence on Consumption Behaviors: Evidence From CCPA

2023 | International Conference on Information Systems | Citations: 0

Authors: Bae, Donghwa; Mayya, Raveesh; Nian, Tingting

Abstract: This study explores the unintended consequences of data protection regulations ... Expand

Abstract: This study explores the unintended consequences of data protection regulations on consumer behavior. Specifically, we examine the California Consumer Privacy Act, which restricts companies from collecting Californians' personal information. Privacy regulations may limit firms' ability to suggest products aligned with consumers' taste predicted from data, potentially influencing subsequent consumer behavior. These regulations especially pose a challenge to digital platforms, as their success hinges on seamless data flow between firms and consumers. Using a difference-in-differences approach with transaction data, we find that post-CCPA, Californians reduce purchase by 4.1%, increase returns by 2.9%. Moreover, we find that Californians spend more time online and visit more webpages, potentially indicating increased search efforts. Mechanism analysis suggests that firms under CCPA proactively alter their data collection strategy to reduce the liability. These results reveal the complex interplay between privacy regulation and consumer behavior, highlighting the need for a nuanced understanding of the trade-offs between privacy protection and economic outcomes. Collapse

Topics: information privacy law legal context consumer behavior advertising management website

Methods: experimental group longitudinal research natural experiment archival research difference in differences

CAPABILITIES FOR DATA ANALYTICS IN INDUSTRIAL INTERNET OF THINGS (IIOT)

2023 | European Conference On Information Systems | Citations: 0

Authors: Bagheri, Samaneh; Dijkstra, Jesse

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Topics: analytical information system internet of things mobile system organizational value cloud computing

Methods: qualitative interview machine learning literature study personal interview computational algorithm

Generational differences in handling technology interruptions: a qualitative study

2023 | European Journal of Information Systems | Citations: 0

Authors: Baham, Corey; Kalgotra, Pankush; Nasirpouri Shadbad, Forough; Sharda, Ramesh

Abstract: Digital native and digital immigrant user types characterise the differences bet ... Expand

Abstract: Digital native and digital immigrant user types characterise the differences between those who grew up in a world of ubiquitous information systems and those who pre-date it. The rise in computer-mediated communication (CMC) technologies such as emails, text messages, and social media creates more opportunities for interruptions. Researchers have explored the impact of growing up in a world of technology. However, little research has explored the potential differences between digital natives and digital immigrants handling technology interruptions. This paper uses a qualitative approach to examine the extent to which individuals handle CMC interruptions differently based on the role of technology and its level of pervasiveness in the environment in which they grew up. Thirty-three interviews were conducted with individuals from different population groups based on age and gender to understand how technology interruptions are handled in work and social life. The findings support existing pre- and post-technology interruption frameworks and explain how and why generational differences exist in the process of CMC interruption handling. The theoretical and practical implications are discussed. Collapse

Topics: technostress task productivity task characteristic electronic mail information system use

Methods: qualitative interview personal interview qualitative coding literature study business process modeling

Theories: activity theory

Text-image Relationships in Social Media Communication: A Literature Review

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Bai, Shiqi; Li, Boying; Phang, Chee Wei (David)

Abstract: This study synthesises the literature on content factors in social media commun ... Expand

Abstract: This study synthesises the literature on content factors in social media communication within the Information Systems (IS) field and identifies five dimensions of text-image congruence: quality congruence, quantity congruence, emotion congruence, connotation congruence, and information appeal. Utilizing the S-O-R framework, we provide a comprehensive understanding of text-image congruence and suggest future research directions in IS. Our findings contribute to the knowledge of effective social media communication strategies and lay the groundwork for future research on text-image congruence and relationships. Collapse

Topics: social media electronic commerce artificial intelligence sensemaking IS discipline

Methods: literature study qualitative coding literature sample grounded theory theory development

What Makes Digital Technology? A Categorization Based on Purpose

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

Authors: Baier, Marie-Sophie; Berger, Stephan; Kreuzer, Thomas; Oberländer, Anna; Röglinger, Maximilian

Abstract: Digital technology (DT) is creating and shaping today's world. Building on its ... Expand

Abstract: Digital technology (DT) is creating and shaping today's world. Building on its identity and history of technology research, the Information Systems discipline is at the forefront of understanding the nature of DT and related phenomena. Understanding the nature of DT requires understanding its purposes. Because of the growing number of DTs, these purposes are diversifying, and further examination is needed. To that end, we followed an organizational systematics paradigm and present a taxonomic theory for DT that enables its classification through its diverse purposes. The taxonomic theory comprises a multi-layer taxonomy of DT and purpose-related archetypes, which we inferred from a sample of 92 real-world DTs. In our empirical evaluation, we assessed the reliability, validity, and usefulness of the taxonomy and archetypes. The taxonomic theory exceeds existing technology classifications by being the first that (1) has been rigorously developed, (2) considers the nature of DT, (3) is sufficiently concrete to reflect the diverse purposes of DT, and (4) is sufficiently abstract to be persistent. Our findings add to the descriptive knowledge on DT, advance our understanding of the diverse purposes of DT, and lay the ground for further theorizing. Our work also supports practitioners in managing and designing DTs. Collapse

Topics: knowledge base perceived usefulness competitive advantage decision making technology adoption

Methods: cluster analysis theory development longitudinal data analysis focus group computational algorithm

Theories: information systems theory sociomaterialism theory