Lindsey Darvin , Cheryl Gray , Thomas Baker , Janelle Wells , John Holden
{"title":"Development of the hostility and inclusion in gaming scale (HIGS): A gender-based analysis","authors":"Lindsey Darvin , Cheryl Gray , Thomas Baker , Janelle Wells , John Holden","doi":"10.1016/j.techsoc.2024.102711","DOIUrl":"10.1016/j.techsoc.2024.102711","url":null,"abstract":"<div><div>Electronic gaming is one of the fastest growing segments of the sports, entertainment, and technology industries. While the electronic nature of the industry offers many advantages, electronic platforms create psychological distance between players and perceived anonymity conducive to cyberbullying and cyber incivility, especially for those who do not identify as cis-gender men/boys. Therefore, there is an increasing need to establish credible and reliable tools to measure cultures of hostility, toxicity, and inclusion in electronic gaming. Consequently, the current study resulted in the development of the first known rigorous quantitative examination of hostility and inclusion in gaming, the HIGS. A five-stage process involving three samples (Sample 1 <em>N</em> = 150, Sample 2 <em>N</em> = 157, Sample 3 <em>N</em> = 246) was utilized. The results of this study led to the development of the HIGS with five distinct factors (gender/genre zoning and access discrimination, hegemonic masculinity, harassment/treatment discrimination, stereotypes and stigmas, and imposter syndrome). Several implications are outlined with a specific focus on how organizations, leagues, and teams can seek to implement the scale to better gauge their culture of inclusion for a variety of groups. The HIGS was designed to be applied across all gaming types and the subsequent results can inform all aspects of gaming policy and decision-making. The full scale is provided within the appendix.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102711"},"PeriodicalIF":10.1,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142322635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Telemedicine and transformative health access for millennials-Gen Z: PLS-SEM based behavioral exploration","authors":"Suci Megawati , Amir Machmud , Muhammad Alfarizi","doi":"10.1016/j.techsoc.2024.102714","DOIUrl":"10.1016/j.techsoc.2024.102714","url":null,"abstract":"<div><p>Global health system is rapidly transitioning from conventional models to inclusive digital healthcare due to the pandemic and technological advancements. This transition has led to widespread telemedicine adoption in response to healthcare needs. In Indonesia, the implementation of telemedicine has increased significantly after enacting relevant policies due to limited healthcare accessibility. The younger demographic, namely Millennials and Gen Z plays an important role in adopting this technology, offering significant potential for future development and research. Despite the significance of this technology, existing literature lacks a comprehensive psychological analysis of digital transformation in telemedicine adoption, particularly concerning Millennials-Gen Z. Therefore, this research aimed to construct telemedicine adoption model by integrating psychological aspects of digital transformation and multidimensional planned behavior. A total of 205 Millennials-Gen Z telemedicine users were included in the survey. The results showed that commitment to digital health transformation among these age groups significantly influenced telemedicine adoption. Readiness to engage in transformation influenced behavioral planning, while beliefs, attitudes, social norms, and self-control intricately impacted an inclination and willingness. Furthermore, it was discovered that behavioral intention contributed to enhancing the user experience of telemedicine services. These results offered substantial theoretical and practical implications, guiding providers and policymakers in constructing telemedicine services that catered to public health equity.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102714"},"PeriodicalIF":10.1,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142230611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Does artificial intelligence drive technology convergence? Evidence from Chinese manufacturing companies","authors":"Dechao Ma, Weiwei Wu","doi":"10.1016/j.techsoc.2024.102715","DOIUrl":"10.1016/j.techsoc.2024.102715","url":null,"abstract":"<div><p>With the rapid rise of artificial intelligence (AI), seemingly unrelated technological domains have become closely interconnected, creating favorable conditions for achieving deep convergence between technologies. This study, drawing on the resource-based view theory, investigates the relationship between AI applications and technology convergence, while analyzing the moderating role of digital orientation. We chose Chinese A-share listed manufacturing companies from 2015 to 2022 as our research sample to validate our hypotheses. Empirical results indicate that the application of AI has a positive impact on both novel and reinforced technology convergence. Furthermore, firms with a high level of digital orientation enhance the positive effects of AI applications on novel and reinforced technology convergence. The research findings contribute empirically to the field of AI and technology convergence, offering valuable insights for firms on how to leverage AI to drive technology convergence.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102715"},"PeriodicalIF":10.1,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Potential application of generative artificial intelligence and machine learning algorithm in oil and gas sector: Benefits and future prospects","authors":"Edward G. Ochieng , Diana Ominde , Tarila Zuofa","doi":"10.1016/j.techsoc.2024.102710","DOIUrl":"10.1016/j.techsoc.2024.102710","url":null,"abstract":"<div><p>With the rapid advancement of technology and societies, the global energy sector now acknowledges that by integrating contemporary digital technologies into their operations and capabilities, can improve their competitive advantage and innovation performance and processes. Moreover, energy operators are also facing a significant undertaking: how to best use and secure large amounts of data that promote sustainable productivity performance and minimise potential threats in the oil and gas value chain and project operations. In view of the foregoing, various facets like Generative Artificial Intelligence (GAI) and Machine Learning Algorithms (MLA) are increasingly gaining popularity within oil and gas sector operations. Thus, we explored how GAI and ML algorithms can enhance oil and gas value chain productivity performance. The Principal Component Analysis (PCA) was employed to identify significant GAI and MLA variables influencing performance in the oil and gas value chain, while Structural Equation Modelling (SEM) was used to test regression equations related to their application. The study found that risk portfolios and profiles can be appraised throughout the value chain by effectively utilising GAI and ML algorithms in upstream, midstream and downstream undertakings. While these findings are noteworthy and have significant implications for current practice, the paper advocates that an array of digital technologies beyond GAI and ML can still be examined during future studies to demonstrate a holistic perspective on how digital transformation can be achieved across the energy sector value and project operations.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102710"},"PeriodicalIF":10.1,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guoren Long , Dingyun Duan , Hua Wang , Shaojian Chen
{"title":"The impact of industrial robots on low-carbon green performance: Evidence from the belt and road initiative countries","authors":"Guoren Long , Dingyun Duan , Hua Wang , Shaojian Chen","doi":"10.1016/j.techsoc.2024.102712","DOIUrl":"10.1016/j.techsoc.2024.102712","url":null,"abstract":"<div><p>Global warming is intensifying, with Belt and Road Initiative (BRI) countries accounting for over two-thirds of global carbon dioxide emissions. As a pivotal technology in advanced manufacturing, industrial robots significantly impact the overall carbon footprint through their role in production processes. This study examines how the use of industrial robots influences the Low-Carbon Green Performance (LCGP) across BRI nations, utilizing a dataset spanning from 2004 to 2020. The findings reveal that the integration of industrial robots notably boosts the LCGP within these countries, a conclusion supported by extensive robustness evaluations. The novelty of this study lies in uncovering the underlying mechanism by which industrial robots improve LCGP through the promotion of technological innovation. Specifically, we find that industrial robots have a pronounced effect on technological progress (TC), an impact that is further amplified by increases in labor productivity and human capital levels. This discovery provides policy implications for BRI governments, suggesting that actively promoting the development of industrial robots can accelerate energy transformation and upgrading, thereby reducing carbon emissions. Our research fills a significant void concerning the environmental impact of industrial robots and offers new perspectives and strategies for BRI countries to achieve low-carbon development goals. These findings contribute significant theoretical and practical value to global environmental protection and sustainable development.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102712"},"PeriodicalIF":10.1,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How does digitalization drive urban industrial locations? An empirical examination of South Korea's experience","authors":"Jeong-Il Park","doi":"10.1016/j.techsoc.2024.102708","DOIUrl":"10.1016/j.techsoc.2024.102708","url":null,"abstract":"<div><p>This study offers a novel empirical examination of the interplay between industrial digitalization and urban spatial dynamics, addressing a significant gap in the existing literature. Using data from 1609 firms in South Korea and employing a generalized structural equation model, this study examines how digitalization influences industries' preferences for urban locations. It diverges from previous theoretical and intuitive approaches, by providing concrete data-driven insights. The role of digitalization in enhancing productivity and spatial efficiency is a critical outcome here, thereby encouraging industries to favor urban areas. It also reveals an unexpected nuance: digitalization does not directly correlate with clean production, challenging prevalent assumptions. By empirically validating the indirect pathways linking digitalization with urban industrial setting, this study contributes uniquely toward understanding technological advancements’ reshaping of urban industrial landscapes. This nuanced insight extends beyond the current discourse, emphasizing the indirect yet substantial influence of digitalization on industrial location choices. This marks a critical advancement in the academic examination of urban industrial dynamics.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102708"},"PeriodicalIF":10.1,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0160791X24002562/pdfft?md5=94c61210ee5ffdb0542bd606782446c1&pid=1-s2.0-S0160791X24002562-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142164122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rod McCrea , Rebecca Coates , Elizabeth V. Hobman , Sarah Bentley , Justine Lacey
{"title":"Responsible innovation for disruptive science and technology: The role of public trust and social expectations","authors":"Rod McCrea , Rebecca Coates , Elizabeth V. Hobman , Sarah Bentley , Justine Lacey","doi":"10.1016/j.techsoc.2024.102709","DOIUrl":"10.1016/j.techsoc.2024.102709","url":null,"abstract":"<div><p>As the world increasingly faces intersecting and complex environmental, social, and economic challenges, there are rising demands on emerging science and technology to produce innovative and potentially disruptive solutions. However, these solutions may also introduce different problems, uncertainties, and risks. Responsible innovation (RI) offers a way to identify and mitigate the social and ethical risks associated with new science and technology developments while delivering socially desirable and responsible outcomes. But how does the public view RI? In this paper, we argue that those undertaking disruptive science and technology research need a better understanding of the drivers of public trust in the research and innovation sector, and broader societal expectations of what constitutes socially responsible outcomes arising from their work. Few studies have explored if and how RI, trust, and social expectations are interrelated in the eyes of the public. This research investigates public perceptions of RI relevant to the development of novel and potentially disruptive science and technology, and their relationships with two key social outcomes: (1) public trust in the research and innovation sector; and (2) public expectations that innovative and potentially disruptive research can deliver socially responsible outcomes. Through surveying 4080 Australians, this research identifies how these four elements of RI – (i) practices of scientists, (ii) institutional compliance with research ethics, (iii) risk management effectiveness, and (iv) governance arrangements – are associated with public trust and expectations of socially responsible outcomes. Our best fitting path model showed that these elements of RI explain a large proportion of variability in trust in scientists and research institutions undertaking disruptive science, and most of the variability in public expectations that such research can deliver socially responsible outcomes. Of the four elements of RI, practices of scientists are most important for explaining trust in the research and innovation sector, and risk management effectiveness is most important for expectations of socially responsible outcomes from disruptive science and technology.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102709"},"PeriodicalIF":10.1,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0160791X24002574/pdfft?md5=5f0901f65b79ffc23b8e8ab0b010cf02&pid=1-s2.0-S0160791X24002574-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Asmaeil Ali Mohammed Akhmaaj , Mohamed Omar Sharif
{"title":"The effects of planned behavior model constructs and technology acceptance model constructs on online purchasing behavior: An empirical study on internet users in the Libya city of Tripoli","authors":"Asmaeil Ali Mohammed Akhmaaj , Mohamed Omar Sharif","doi":"10.1016/j.techsoc.2024.102687","DOIUrl":"10.1016/j.techsoc.2024.102687","url":null,"abstract":"<div><p>The current study aimed to investigate the results of integrating the planned behavior model with the technology acceptance adoption model, and the differences between age groups in direct and indirect relationships. The empirical data of 203 online purchasing users from the Libyan city of Tripoli via Google surveys analyzed using Structural Equation Modelling. The questionnaire was employed and measured by TPB and TAM models. The most important findings reached are the presence of a significant direct effect of social influence and perceived behavior control impact on purchasing behavior because of the age group of 30–50 years. Likewise, perceived of use has a significant effect on purchasing behavior due to of the age group of 30–50 years and the age group of more than 50 years. Three out of four hypotheses were supported: purchase intention mediates the relationship between social influence and perceived behavior control, perceived usefulness, and ease of use on the one hand and purchasing behavior on the other hand. More, there are significant differences indirect effects of social influence and perceived behavior control and perceived usefulness on purchasing behavior due to the variable of age, more specifically in the age group of (30–50 years), while it was not significant in the other age groups. The research also discussed future directions for research in the field of technology use.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102687"},"PeriodicalIF":10.1,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142158445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Myrthe L. Tielman , Mari Carmen Suárez-Figueroa , Arne Jönsson , Mark A. Neerincx , Luciano Cavalcante Siebert
{"title":"Explainable AI for all - A roadmap for inclusive XAI for people with cognitive disabilities","authors":"Myrthe L. Tielman , Mari Carmen Suárez-Figueroa , Arne Jönsson , Mark A. Neerincx , Luciano Cavalcante Siebert","doi":"10.1016/j.techsoc.2024.102685","DOIUrl":"10.1016/j.techsoc.2024.102685","url":null,"abstract":"<div><p>Artificial intelligence (AI) is increasingly prevalent in our daily lives, setting specific requirements for responsible development and deployment: The AI should be explainable and inclusive. Despite substantial research and development investment in explainable AI, there is a lack of effort into making AI explainable and inclusive to people with cognitive disabilities as well. In this paper, we present the first steps towards this research topic. We argue that three main questions guide this research, namely: 1) How explainable should a system be?; 2) What level of understanding can the user reach, and what is the right type of explanation to help them reach this level?; and 3) How can we implement an AI system that can generate the necessary explanations? We present the current state of the art in research on these three topics, the current open questions and the next steps. Finally, we present the challenges specific to bringing these three research topics together, in order to eventually be able to answer the question of how to make AI systems explainable also to people with cognitive disabilities.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102685"},"PeriodicalIF":10.1,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0160791X24002331/pdfft?md5=f48ee62c3dc226480e9c8831c6cd0ece&pid=1-s2.0-S0160791X24002331-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A conceptual and ethical framework for empathy and communication technologies","authors":"Caroline Bollen","doi":"10.1016/j.techsoc.2024.102707","DOIUrl":"10.1016/j.techsoc.2024.102707","url":null,"abstract":"<div><p>While there is an interest in questions related to empathy and communication technologies (CTs) in various disciplines, conceptual and ethical ambiguities on what empathy exactly is and whether and how it can be shaped by technologies make it unclear how to approach such questions. This paper sets out to provide such a framework: a way to understand empathy and its relationship to CTs in a conceptually and ethically robust manner. A critical reconsideration of the concept is needed, especially if we want to use the concept to evaluate technologies and their impact in terms of desirability and guidance to shape our future. I argue we need to understand empathy explicitly as a moral concept that is contextually situated, relational, and diverse, and to do so, I argue to understand empathy as a virtue. Section 2 lays down the theoretical foundation to explore empathy as a virtue, technological mediation, and CTs. In section 3, I apply these concepts to identify different ways in which CTs can mediate empathy and change what it means to be empathetic on both individual and societal levels. This multi-layered understanding of “CT-mediated empathy” provides a lens through which questions on CTs and empathy can be approached, such that we can reflect on, evaluate and improve specific technologies, their implementation, and their use. In section 4, I summarize this in a list of seven questions that require reflection in the design and implementation of a (new) CT. The paper ends with some forward-looking implications and recommendations for design, research, education, and policy towards an empathetic sociotechnical future.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102707"},"PeriodicalIF":10.1,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0160791X24002550/pdfft?md5=ba0e26d4dad374a8bdbf9e0a4fa1696a&pid=1-s2.0-S0160791X24002550-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142171736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}