391 research outputs found
Journal Self-Citation VIII: An IS Researcher in the Dual Worlds of Author-Reader and Author-Institution
No full textThis paper responds to the question of whether it is ethical for a journal editor to request an author to cite papers from a journal to which one is submitting an article. To craft a response to this question, two sets of relationships are explored. The first set is an author-reader relationship, and the second set is an author-institution or community relationship. In these dual relationships, the author is considered to be an IS researcher who publishes and disseminates knowledge through the channel of research journals. The reason for articulating these twofold relationships is to go beyond the common belief that the author is the sole and autonomous source of knowledge creation and distribution. We posit that: (1) an author cannot exist isolated from the reader, and (2) an author exists only as a part of an institutional system which opens and at the same time constrains an author’s knowledge production. In other words, an author is destined to create knowledge within the constrained system. For that very reason, it is important to understand the author as a function of conditional discourse of a specific institution. We conclude that editors’ requests for an author to cite papers from a journal to which one is submitting an article is ethically critical to: (1) build a good author-reader relationship, and (2) produce rich and plural knowledge which is “good” for advancing learning in the global community
Social Network Analysis Using Author Co-Citation Data
No full textThis study examines the social network of scholars in the field of Communication by using author co-citation data. A matrix containing the number of co-cited documents between pairs of authors is created for social network analysis of scholars who are on the editorial board of Journal of Communication, and the networked map of the scholars is used to visualize the knowledge structure of the field by identifying groups of authors who are more central than others. Social Science Citation Index (SSCI) is used to collect the author co-citation data, and UCInet is employed for social network analysis as well as network visualization
Moderating Roles of Review Credibility and Author Popularity on Book Sales
No full textUser reviews have become a popular source to assess the quality of products in consumers\u27 purchasing decision. New insights into the effect of user reviews on product sales can be derived from examining review credibility and author popularity in our example of book sales from Amazon.com. We found that (1) average rating of reviews and diversity of ratings positively affect book sales, but (2) high diversity weakens the effect to sales, showing a quadratic effect of diversity on sales. In addition, our results suggest evidence that (3) review credibility and author popularity moderate the positive association of average rating of reviews and diversity of ratings on sales. Finally, (4) consumers seem to pay more attention to reviews for digital books than for paper books
Students With and Without Disabilities Using Social Media: Relationship Benefits and Implications for Education
No full textA pandemic in 2020 resulted in economic and social disruption of unprecedented scale. Social distancing — or physical distancing while in public spaces — was required, and social media usage spiked globally as people turned to these online spaces for information and connection. Today’s postsecondary students, in particular, are frequently immersed in social media; it can offer them social supports, such as a greater sense of belonging during times of transition and crisis, but also inherent risks, including cyberbullying and online harassment. Although many studies have examined the social connections or supports for learning that college students without disabilities experience by using social media, few studies have explored these phenomena among college students with disabilities, including neurodevelopmental disabilities such as anxiety disorders (e.g., social anxiety, autism, attention deficit disorder) that make socialization difficult for these young adults. It is important that educational research advances understanding of the socialization experiences of these students with disabilities because students’ sense of belonging and peer support is critical to their engagement and success in K-12 and postsecondary schooling
Author Experiences with the IS Journal Review Process
No full textResearch publication in peer-reviewed journals is an important avenue for knowledge dissemination. However, information on journal review process metrics are often not available to prospective authors, which may preclude effective targeting of their research work to appropriate outlets. We study these metrics for information systems (IS) researchers through a survey of actual author experiences of the IS journal review process. Our results provide a knowledge base of the length and quality of the review process in various journals; responsiveness of the journal office and publication delay; and correlations of metrics with published studies of journal rankings. The data should enable authors to make effective submission decisions, as well as help to benchmark journal review processes among competing journals
Dialogues of creation: Collaborative content generation by human author and ChatGPT and its impact on the evolving intellectual property landscape
No full textThe paradigm of content creation and intellectual property (IP) is undergoing an unprecedented shift fueled by AI, with ChatGPT at its forefront. This study presents a distinctive approach—a dialogue between a human author and ChatGPT—to explore their collaborative impact on creative content generation, redefining authorship and reimagining the intellectual property landscape.
As AI blurs distinctions between traditional authorship and machine-generated influence, questions emerge about attributing creative ownership, ethical considerations, and the economic valuation of AI\u27s contributions. The human author\u27s collaboration with ChatGPT reveals motivations that extend beyond innovation, encompassing a horizon of narrative experimentation with unique challenges. The subsequent interviews capture the evolving discourse, uncovering that while AI-generated concepts may not inherently spark entirely novel ideas, with careful human guidance, they act as catalysts for enhancing creativity. This dialogue also delves into the complexities of authorship in an AI-infused landscape. It probes the extent to which AI-generated ideas resonate with the author\u27s artistic intent and the challenges of maintaining authorial voice in a dynamic, collaborative environment.
Utilizing qualitative methods, this research seeks to illuminate AI\u27s influence on human authors\u27 creative processes, dissect the intricate interplay between human creativity and AI-generated content, and critically assess the profound implications for established concepts of authorship and the evolving dynamics of the IP economy—an arena witnessing disruption due to the increased prevalence of AI-infused work. The evolving definition of authorship and content ownership catalyzed by AI-generated contributions calls for a fundamental reassessment of the traditional IP models.
Lastly, as AI-generated content becomes integral to creative works, it necessitates the emergence of new models for valuing, distributing royalties, and upholding ethical standards. We delve into the complexities of establishing fairness within this emerging model, which encompasses licensing issues related to the training data used by generative AI companies and these companies\u27 stance on copyright ownership of the generated work. To address these challenges and the limitations inherent in current AI systems, we propose the concept of a Knowledge Graph as a valuable tool to serve as human guidance in AI-generated work. We suggest that the design of these knowledge graphs may play a pivotal role in shaping the future of the intellectual property economy.
In essence, the research presents an unconventional exploration of the partnership between human authors and AI. Through this dialogue, the study not only unveils how they redefine creativity and authorship but also highlights the transformative impact on the IP economy. The outcomes of this research offer valuable recommendations for creators, industries, and policymakers to navigate this evolving landscape
Author Cocitation Analysis Using Custom Bibliographic Databases: An Exploratory Tool for Digging Up Reference Disciplines
No full textResearchers in any academic discipline build on each other\u27s and their own previous work. Definitions, topics and concepts are shared. It is necessary to continuously follow up on interesting lines of inquiry. It is also necessary to identify, examine, and trace the intellectual linkage to each other in a given academic field as a basis of assessing the current state of its field to guide future development. Over the past 80 years, the way we count and analyze the intellectual linkage dramatically changed from the early manual transcribing and statistical computation of citation data to computer-based citation data creation and its manipulation. Most citation and cocitation analyses rely on commercial citation databases such as Social Science Citation Index. This paper introduces an alternative approach to conducting author cocitation analysis (ACA) without relying on commercial citation databases, based on custom bibliographic database and cocitation matrix generation systems specifically developed to use the custom database. The alternative approach overcomes several weaknesses of commercial online data-based ACA research. This guide to an alternative approach to ACA will encourage other researchers to explore the intellectual structures of various MIS fields and guide the future development as well as revealing their reference disciplines
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