Critical Information Literacy: A Model for Transdisciplinary Research in Behavioral Sciences

Librarians are instrumental in advancing the education of students and orienting tomorrow's professions toward the world in which they will practice: rich in information, diverse in perspective, and latent with the opportunities for transdisciplinary research. Critical information literacy offers a model for orienting theory and practice to create an integrated learning experience for students in the behavioral health sciences. This paper examines how different disciplines may be included in a shared problem, using psychopathy as an example. The role of the librarian is discussed in terms of critical information literacy, as a means to conducting transdisciplinary research.     

从建构主义与行为科学的视角探析信息检索

依据当下信息检索过多关注工具的学习和技术的研究,而对信息检索主体的知识构建和行为认识关注甚少,致使信息检索的重心取向日益脱离了检索能力的培养,未意识到检索能动性对信息检索的实际效益。文章从知识建构和行为科学的角度论述了作为检索主体—人在信息检索中所应具备的建构知识和成熟行为对检索能力获取的主导作用,以及产生检索能动性所不可或缺的先决性条件,使人本身主动去发起信息检索行为,并充分意识到信息检索的泛在存在。     

行为经济学视角下终身学习困境的破解路径

终身学习强调持续性的学习过程,对于提高人口素质以适应经济社会高质量发展具有重要意义。然而,个体在终身学习中常表现出学习行动滞后于实际需求的现象,这一现实层面的终身学习困境制约了其成效的发挥。从行为经济学视角来看,终身学习需求与实际行动不一致的原因在于学习者存在短视认知偏差,这使其更看重学习的短期收益与成本的对比,而对长期效用考虑较少。因此,为破解终身学习困境,可通过降低相对学习成本来提升学习的主动性,提升社会成员的受教育水平和信息技术素养以纠正和调节短视认知偏差,并采取锁定机制对短视认知偏差进行约束。基于中国综合社会调查数据的实证分析结果表明上述路径切实有效。未来,应当注重多元主体参与以丰富终身学习资源供给和降低学习成本,构建高质量的教育体系以提升社会成员的学校教育水平和信息技术素养,强化"技能—工作"匹配以纠正终身学习中的短视认知偏差。     

Investigating effects of reading medium and reading purpose on behavioral engagement and textual integration in a multiple text context

The study addressed to what extent behavioral engagement and textual integration may differ when undergraduate readers work with identical printed versus digital texts in preparation for an exam versus for pleasure. We expected that working with printed texts would lead to greater engagement and better integration than working with digital texts, but that reading purpose would moderate this effect of reading medium because those reading in preparation for an exam would display greater engagement and better integration regardless of reading medium. Results showed interaction effects of reading medium with reading purpose on the behavioral engagement indicators of reading time and the length of the post-reading written products. For reading time, the interaction involved that students used longer time when reading digital and mixed texts for an exam, compared to reading for pleasure, whereas there were no difference between exam and pleasure oriented reading when reading printed texts. For the length of the written responses, students produced more text when reading printed texts for an exam than when reading printed texts for pleasure, whereas there were no differences in text production between reading for an exam and reading for pleasure when reading digital or mixed texts. Finally, there was an indirect effect of reading purpose on textual integration via text production when students read printed texts: students who read printed texts in preparation for an exam produced longer written responses compared to those who read for pleasure and, in turn, gained a more integrated understanding of the issue in question. These results are discussed in terms of the implications they offer and the avenues they suggest for future research.     

Modelling internet banking adoption in Fiji: A developing country perspective

The purpose of this study is to investigate the behavioral intention to adopt internet banking (IB) by individuals under the influence of user espoused cultural values in Fiji. A conceptual framework is developed by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model, incorporating customer satisfaction and perceived risk constructs and cultural moderators of individualism and uncertainty avoidance. This research adopts a quantitative approach and collects data from 530 respondents. The proposed model is tested using structural equation modelling. The empirical results obtained suggest that IB adoption is positively influenced by the levels of performance expectancy, effort expectancy, social influence and facilitating conditions while perceived risk negatively influences IB usage intention. IB intention was found to positively impact usage behavior which ultimately impacts customer satisfaction. This study also reveals that uncertainty avoidance dampens the influence of performance expectancy and facilitating conditions on IB adoption intention. The study highlights the importance of individual’s cultural values in promoting IB adoption. It contributes to the literature by extending and testing a comprehensive research model to better understand IB behavior.     

An assessment of customers’ e-service quality perception,satisfaction and intention

This study examines the dimensions of web service quality based on e-customer's, expectations and perceptions. We develop operationalized web service quality constructs, and analyze, their relationships with customer satisfaction and behavioral intentions in an e-business environment. The three identified dimensions of web service quality are perceived risk, web content and service, convenience. One of the major findings of this study is that although less perceived risk may lead to a favorable perception of web service quality, it does not necessarily translate to customer satisfaction, or positive behavioral intentions. Individual PC skill sets may affect perception of service convenience, but seems to have no influence on how customers assess web service quality, customer satisfaction or, behavioral intentions to use the e-service. The indirect or mediating influence of satisfaction on web, service quality and behavioral intentions is indeed stronger than the direct influence of web service, quality on behavioral intentions.     

Assessing behavioral data science privacy issues in government artificial intelligence deployment

In today's global culture where the Internet has established itself as the main tool for communication and commerce, the capability to massively analyze and predict citizens' behavior has become a priority for governments in terms of collective intelligence and security. At the same time, in the context of novel possibilities that artificial intelligence (AI) brings to governments in terms of understanding and developing collective behavior analysis, important concerns related to citizens' privacy have emerged. In order to identify the main uses that governments make of AI and to define citizens' concerns about their privacy, in the present study, we undertook a systematic review of the literature, conducted in-depth interviews, and applied data-mining techniques. Based on our results, we classified and discussed the risks to citizens' privacy according to the types of AI strategies used by governments that may affect collective behavior and cause massive behavior modification. Our results revealed 11 uses of AI strategies used by the government to improve their interaction with citizens, organizations in cities, services provided by public institutions or the economy, among other areas. In relation to citizens' privacy when AI is used by governments, we identified 8 topics related to human behavior predictions, intelligence decision making, decision automation, digital surveillance, data privacy law and regulation, and the risk of behavior modification. The paper concludes with a discussion of the development of regulations focused on the ethical design of citizen data collection, where implications for governments are presented aimed at regulating security, ethics, and data privacy. Additionally, we propose a research agenda composed by 16 research questions to be investigated in further research.