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Information Science & Library Science
Ching- Teng, Tzu-Ling Huang, Guan-Ling Huang, Chieh-Ni Wu, T. C. E. Cheng, Gen-Yih Liao
Summary: This study fills the research gap regarding the impact of game design on player satisfaction and proposes three new game design elements. The study finds that game achievability and game immersibility are key elements for player satisfaction, while competence satisfaction and autonomy satisfaction contribute to player continuance and actual usage.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2024)
Article
Information Science & Library Science
Rory Mulcahy, Aimee Riedel, Amanda Beatson, Byron Keating, Shane Mathews
Summary: This paper aims to understand how social media content can be framed to enhance believability and improve social media outcomes. The research shows that self-gain frame combinations significantly contribute to higher levels of believability, and believability mediates the impact of social media message framing on purchase intentions and social media engagement.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2024)
Article
Information Science & Library Science
Ini Kong, Marijn Janssen, Nitesh Bharosa
Summary: This paper empirically analyzes the challenges and policy recommendations for achieving a quantum-safe (QS) transition state based on data collected through interviews with experts and practitioners from the Dutch government. The results illustrate the interconnectedness of institutional, organizational, and policy aspects of QS transitions, and the scattered nature of solutions, which can lead to organizations facing a Catch-22 loop.
GOVERNMENT INFORMATION QUARTERLY
(2024)
Article
Computer Science, Information Systems
Xiaochang Fang, Hongchen Wu, Jing Jing, Yihong Meng, Bing Yu, Hongzhu Yu, Huaxiang Zhang
Summary: This study proposes a novel fake news detection framework, utilizing news semantic environment perception (NSEP) to identify fake news content. The framework consists of steps such as dividing the semantic environment into macro and micro levels, applying graph convolutional networks, and utilizing multihead attention. Empirical experiments show that the NSEP framework achieves high accuracy in detecting Chinese fake news, outperforming other baseline methods and highlighting the importance of both micro and macro semantic environments in early detection of fake news.
INFORMATION PROCESSING & MANAGEMENT
(2024)
Article
Computer Science, Information Systems
Xudong Sun, Alladoumbaye Ngueilbaye, Kaijing Luo, Yongda Cai, Dingming Wu, Joshua Zhexue Huang
Summary: This paper proposes a scalable distributed frequent itemset mining (ScaDistFIM) algorithm to address the data scalability and flexibility issues in basket analysis in the big data era. Experiment results demonstrate that the ScaDistFIM algorithm is more efficient compared to the Spark FP-Growth algorithm.
INFORMATION PROCESSING & MANAGEMENT
(2024)
Article
Computer Science, Information Systems
Boxu Guan, Xinhua Zhu, Shangbo Yuan
Summary: This paper aims to improve the interpretability of machine reading comprehension models by utilizing the pre-trained T5 model for evidence inference. They propose an interpretable reading comprehension model based on T5, which is trained on a more accurate evidence corpus and can infer precise interpretations for answers. Experimental results show that their model outperforms the baseline BERT model on the SQuAD1.1 task.
INFORMATION PROCESSING & MANAGEMENT
(2024)
Article
Information Science & Library Science
Makoto Nakayama, Eli Hustad, Norma Sutcliffe, Merri Beckfield
Summary: This study investigates the documentation practices in agile ERP implementation through interviews with field experts. The findings show an organic transformation of documentation practices, shifting from retrospective approaches to dialogue-based, agile throwaway documents. Project managers who extensively engage with throwaway documents demonstrate higher situational awareness and greater effectiveness in managing ERP projects than those who do not.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2024)
Review
Information Science & Library Science
Javad Pool, Saeed Akhlaghpour, Farhad Fatehi, Andrew Burton-Jones
Summary: Personal health data breaches pose significant challenges to healthcare providers and clients. This study systematically analyzes existing literature and develops an integrative model with eleven propositions explaining the multifaceted nature of health data breaches. The study also identifies gaps in the current literature and suggests six promising avenues for future research. It offers implications for key stakeholders in healthcare settings and equips practitioners and researchers with a valuable model for evidence-based data breach risk management.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2024)
Article
Information Science & Library Science
Arunabha Mukhopadhyay, Swati Jain
Summary: Hackers use phishing emails to install ransomware on critical industry firms, causing significant losses in revenue, reputation, and customer churn. This study proposes a mixed-method explanatory approach to mitigate ransomware attacks and introduces the Ransomware Risk Management Model (R2M2) based on protection motivation theory (PMT). The model helps the CISO assess and quantify the risk of a ransomware attack using predictive analytics techniques and collective risk modeling. Additionally, it provides strategies to minimize the probability and impact of an attack through investments in security technologies, training, cybersecurity frameworks, and cyber-risk insurance.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2024)
Article
Information Science & Library Science
M. Mahdi Roghanizad, Ozgur Turetken
Summary: Resource seeking is crucial for success, but the effectiveness of the communication method in convincing resource providers is important. Face-to-face resource seeking is more effective than email requests, but requesters often underestimate the difference between the two channels. Psychological factors such as embarrassment and fear influence the choice of less effective email channel.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2024)
Article
Information Science & Library Science
Jaewon Royce Choi, Seongcheol Kim
Summary: This study applies a theoretical framework of surveillance culture to capture individual perceptions and behaviors related to privacy and surveillance in the context of smart health. The results show that institutional trust and perceived comfort levels significantly predict individuals' self-tracking behavior, and there are statistically significant cross-national differences between the US and South Korea.
TELEMATICS AND INFORMATICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Hao Teng, Nan Wang, Hongyu Zhao, Yingtong Hu, Haitao Jin
Summary: In this paper, a new method based on functional semantic knowledge (FOP) is proposed for patent similarity calculation. Furthermore, patent STS datasets are processed and released as benchmarks. Preliminary results show that FOP-based methods are more suitable for STS tasks when combined with IPC codes, weights' assignments, and patent pre-trained vectors.
JOURNAL OF INFORMETRICS
(2024)
Article
Information Science & Library Science
Frank M. Ventrella, Megan Cotnam-Kappel
Summary: Research on digital inequalities and their societal implications has found that teachers in Canadian elementary schools recognize the existence of digital inequalities among their students. These inequalities include disparities in device availability and usage, discrepancies in online engagement and skill development, and differences in digital confidence. The study emphasizes the need to address these inequalities to promote equitable access to digital resources and opportunities for all students, as well as targeted professional development for educators. Considering teachers' perspectives is crucial in understanding and mitigating the impact of digital inequalities on culture and society.
TELEMATICS AND INFORMATICS
(2024)
Article
Information Science & Library Science
Andreas Hermann, Torsten Gollhardt, Ann-Kristin Cordes, Lasse von Lojewski, Max Patrick Hartmann, Jorg Becker
Summary: This article aims to develop a taxonomy that supports the initiation of digital innovation projects in SMEs in collaboration with external digital innovation units. The taxonomy, based on a structured literature review and the analysis of 210 project reports, includes 10 dimensions and 30 characteristics, resulting in 5 project types. This contributes to the body of knowledge and facilitates further research on digital innovation projects in SMEs.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2024)
Article
Information Science & Library Science
Bernd Carsten Stahl, Damian Eke
Summary: This article explores the ethical issues raised by generative conversational AI systems, specifically ChatGPT. The analysis finds that while ChatGPT could provide significant societal and ethical benefits, it also raises concerns related to social justice, individual autonomy, cultural identity, and environmental issues. The findings align with emerging research and industry priorities on the ethics of generative AI.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2024)
Article
Computer Science, Interdisciplinary Applications
Cristina Urdiales, Eduardo Guzman
Summary: Subject categorization of scientific publications is important for evaluating paper quality. Traditional mechanisms for categorization have been questioned, and a new method based on association rules is proposed. The method automatically defines publication categories based on the repetition or absence of relevant descriptors. The empirical study in the field of Physical Sciences and Engineering shows that the proposed method produces consistent and suitable categorization results.
JOURNAL OF INFORMETRICS
(2024)
Article
Information Science & Library Science
Jing (Kristen) Zhang, Riwei Liu
Summary: This study investigates the relationship between user engagement and technological affordances in game live streaming platforms. The findings suggest that interactivity-based gratifications and user identification significantly influence user engagement levels. These results provide valuable empirical evidence for scholars and practitioners to consider technological factors and streamers' roles in understanding and fostering user engagement in the game live streaming industry.
TELEMATICS AND INFORMATICS
(2024)
Article
Information Science & Library Science
Shubin Yu, Luming Zhao
Summary: This paper investigates the role of emojis in enhancing chatbot interactions through three experiments. The results reveal that emojis increase the perceived warmth of chatbots but do not necessarily enhance their competence. The increase in warmth leads to boosted service satisfaction, especially when chatbots serve hedonic purposes and are pre-programmed.
TELEMATICS AND INFORMATICS
(2024)
Article
Information Science & Library Science
Xiaofan Tang, Shaobo Wei, Xiayu Chen
Summary: Drawing on the job demands-resources (JD-R) model, this research examines the impact of technology-driven stressors on employee workarounds in enterprise system (ES) use. The findings indicate that technology-driven challenge stressors decrease workarounds, while technology-driven hindrance stressors increase it. The role of job and personal resources in mitigating the impact of specific technology-driven stressors on workarounds is also explored.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2024)
Article
Information Science & Library Science
Khaldoon Nusair, Osman M. Karatepe, Fevzi Okumus, Usamah F. Alfarhan, Fangfang Shi
Summary: This study proposes a new framework that explains the antecedents and consequences of individual-level community engagement in social media networks (SMNs), and validates it from a cross-national perspective. The findings suggest that perceived anonymity triggers tourist community engagement, which enhances brand relationship quality and decision-making. Additionally, the study identifies differences between American and Chinese tourists in these relationships.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2024)
