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Umpires of Social Media: A Systems Science Analysis of Facebook’s Sociotechnical Content Moderation
Full text linkContent moderation on social media platforms, such as Facebook, plays a critical role in curating user-generated content by mitigating harmful, misleading, or inappropriate materials. Despite significant investments in both human and algorithmic moderation systems, platforms continue to struggle with effectively managing the vast and complex flow of content, often facing criticism from various user groups for perceived inconsistencies and failures. This paper provides a systems theory analysis of Facebook’s content moderation system, with a particular focus on its sociotechnical nature, where human and non-human actors interact to moderate content. Using the COVID-19 pandemic as a revelatory case study, this research explores the disruptions to Facebook’s moderation processes caused by external shocks and identifies key conflicts within the system. Through the lens of systems science, the study reveals several points of tension, including conflicting goals between stakeholders, breakdowns in communication, and the challenges posed by both human and algorithmic moderators. By understanding these conflicts, this paper offers insights into why content moderation continues to be a significant challenge for social media platforms and proposes recommendations for improving moderation efforts. This study contributes to the broader discourse on content moderation by demonstrating the value of applying systems theory to analyze and address the complexities of these sociotechnical systems
How Germany Successfully Implemented Its Intergovernmental FLORA System
Full text linkDeveloping and deploying intergovernmental IT systems across layers of government (e.g., state and federal) is challenging because the law requires cooperation but also mandates that each layer has its own separate IT systems. We describe how Germany successfully navigated the challenges when it implemented FLORA, a blockchain-based system that supports the processing of asylum seekers. Based on insights gained from FLORA, we provide three recommendations for successfully implementing intergovernmental IT systems
Promoting Cybersecurity Information Sharing Across the Extended Value Chain
Full text linkAs cyberthreats become more targeted and complex, industries that rely on intercon- nected information and operational technologies (IT/OT) face unique vulnerabilities. Addressing these risks requires innovative approaches to cybersecurity. This article focuses on an alternative information-sharing forum centered on the extended value chain of a single company in the forest and paper products industry. The article explores the forum’s design, execution and challenges, and offers recommendations to guide similar company-specific collaborations aimed at enhancing cybersecurity resilience across interconnected value chains
Optimizing Service Experience Design with Generative AI
Full text linkGenerative AI (GenAI), as a democratizing force, has provided widespread access to powerful AI capabilities, fundamentally altering the way we work and live. This democratization fuels the co-creation of innovative solutions by combining the creative and analytical power of human designers with the computational capabilities of AI. This paper proposes a conceptual framework that leverages the power of generative AI to infuse the Design Thinking process with novel perspectives, unlocking new avenues for innovation and creative problem-solving. We conducted in-depth qualitative interviews with 60 senior executives across various organizations. Using a grounded theory approach and thematic analysis, we identified key themes and patterns. The resulting framework provides a practical guide for organizations seeking to harness the power of generative AI to create exceptional service experiences. It outlines specific strategies for integrating generative AI into the various stages of the Design Thinking process, from ideation to implementation, and provide practical examples and case studies to illustrate its potential
The Impact of IT Ambidexterity on Organizational Agility: The Mediating Role of Organizational Change Capacity
Full text linkBackground: Organizational agility (OA) is recognized as a vital capability for competitiveness in dynamic business environments. While IT capabilities are acknowledged as a potential source of OA, there is limited research on the agility-enabling role of IT ambidexterity (ITA), which is the dual pursuit of IT exploitation and IT exploration. In particular, the influence of ITA on market capitalizing agility (MCA) and operational adjustment agility (OAA), which are key agility dimensions, remains unexplored. Although prior work has argued that intermediary organizational capabilities may be required to translate IT capabilities into OA, no previous studies have considered the role of organizational change capacity (OCC), in the ITA-OA relationship. To address these gaps, we draw on the dynamic capability view and the IT-enabled agility literature to examine the relationships between ITA and MCA, OAA, and OA, and propose that OCC mediates these relationships.
Method: A comprehensive quantitative approach, involving the development of a robust research instrument, was used to empirically investigate the relationships between the constructs. Survey data was collected from 173 IT professionals. The analysis was performed using partial least squares structural equation modelling to assess the measurement model and to test the hypotheses.
Results: Our findings reveal that ITA has a direct positive impact on MCA, OAA, and OA, while OCC partially mediates the ITA-MCA, ITA-OAA, and ITA-OA relationships. All measurement and structural model assessment criteria were met, demonstrating the robustness of our conceptualized model.
Conclusion: The results highlight the importance of balancing IT exploitation and exploration to foster OA, particularly through OAA and MCA, and introduces OCC as an intermediary capability that facilitates the translation of ITA into OA, and its dimensions. The theoretical arguments and empirical evidence offer insights for future research and organizational practice into the direct and indirect role of ITA in developing organizational dynamic capabilities
To See is to Believe through Social Augmented Reality: A Mechanism from Shopper\u27s Point-of-View Sharing
Full text linkBackground: The existing body of research on augmented reality (AR) and purchase intention has primarily focused on conceptual and strategic reviews, technical issues, user evaluation, and product presentation aspects, often neglecting the psychological states that may influence consumers\u27 purchase decisions. This study aims to bridge this gap by examining social AR, which involves the use of AR for social purposes, with a focus on point-of-view (POV) sharing, social empowerment, flow, and perceived ownership. By investigating these cognitive and affective factors within the framework of stimulus-organism-response (SOR) theory, we aim to uncover their potential impact on purchase intentions and the likelihood of consumers advocating for AR-enabled applications, known as app evangelism. Through this exploration, our goal is to provide a comprehensive understanding of the complex interaction between psychological factors and AR technology in shaping consumer behavior.
Method: Participants were recruited through online platforms such as Facebook and PTT BBS to fill out the questionnaire, resulting in a total of 411 questionnaires collected over a five-week period in 2021. After removing invalid entries, 335 valid responses were retained for statistical analysis..
Results: In the context of social AR, POV sharing correlates with social empowerment and purchase intention, yet does not directly impact perceived ownership. Conversely, social empowerment is associated with flow, perceived ownership, and purchase intention. Regarding app evangelism, the study finds significant relationships between flow and perceived ownership with app evangelism, indicating that attachment to a brand and immersive experiences contribute to brand advocacy.
Conclusion: The investigation into purchase intention reveals significant relationships with both POV sharing and social empowerment, highlighting the importance of flow and perceived ownership in influencing consumers\u27 perspectives on purchase decisions and app evangelism. Managerial implications, limitations, and directions for future research are discussed
Reassessing the Gender Script Concept. The case of feminised conversational agents
Full text linkIn recent decades, there has been a rise in human-like and femininely gendered information systems, such as voice-based conversational agents. Research has identified both benefits and harms in this development. While the feminisation of information systems may increase usability, trust, technology acceptance and user enjoyment, it can also reproduce harmful gender stereotypes, biases, and oppression in society. Using the conversational agent Alexa as an example, this conceptual article contributes to the discussion by examining the gendering of information systems through the concepts of gender cue and gender script. In conclusion, it suggests that a conceptual distinction between the designer’s gender script and the user’s gender script should be made. This distinction would enable a better understanding of gendering as a flexible process and, when utilised in the research on human-like information systems, would enable the incorporation of anti-determinist, anti-essentialist, queer and intersectional perspectives
Computationally Intensive Research: Advancing a Role for Secondary Analysis of Qualitative Data
Full text linkThis paper draws attention to the potential of computational methods in reworking data generated in past qualitative studies. While qualitative inquiries often produce rich data through rigorous and resource-intensive processes, much of this data often remains unused. In this paper, we first make a general case for secondary analysis of qualitative data by discussing its benefits, distinctions, and epistemological aspects. We then argue for opportunities with computationally intensive secondary analysis, highlighting the possibility of drawing on data assemblages spanning multiple contexts and time frames to address cross-contextual and longitudinal research phenomena and questions. We propose a scheme to perform computationally intensive secondary analysis and advance ideas on how this approach can help facilitate the development of innovative research designs. Finally, we enumerate some key challenges and ongoing concerns associated with qualitative data sharing and reuse
IMPACT OF INFORMATION EXPOSURE ON MATERNAL DECISIONS: A STUDY OF CESAREAN DELIVERY
Full text linkThis study examines the impact of information exposure, mainly through newspapers, radio, and television, on maternal decisions regarding cesarean delivery in Bangladesh. Using data from the 2017 Demographic and Health Surveys (DHS) and logistic regression analysis of 5,186 observations, we identify key predictors of cesarean delivery. The strongest predictor is a history of cesarean birth, with subsequent pregnancies showing higher odds of cesarean delivery. Additionally, greater exposure to information through media is significantly associated with an increased likelihood of opting for cesarean delivery. Other factors, such as maternal weight, also contribute to a lesser extent. The findings highlight the crucial role of media exposure in shaping maternal decisions and emphasize the need for targeted health education, including counseling on vaginal birth after cesarean (VBAC). These insights can inform maternal health policies aimed at optimizing cesarean delivery rates and improving maternal and child health outcomes