Diversity Of Opinion Research Articles

Evolutive Multi-Attribute Decision Making with Online Consumer Reviews

In the digital age, the sheer volume of online consumer reviews imposes a cognitive burden on consumers, complicating their purchasing decisions. Many studies have integrated consumer opinions to provide consumers with clear and concise information. However, these studies often prioritize mainstream opinions, overlooking the diversity and timeliness of other important perspectives. To address this challenge, we propose an evolutive decision-making method. Firstly, we propose an attribute rating evolution algorithm to address the online reviews based on the iterative self-organizing data analysis technique and time decay. This algorithm enables real-time analysis of the diverse opinions expressed in review data. Then, taking into account consumer attribute preferences and decision-making psychology, we formulate multiple product ranking strategies to offer personalized decisions based on the evolutive opinions. Our method decreases the bias towards review quantity, ensuring that significant opinions are not overshadowed by more frequent ones. Through data experiments and an application on OpenTable.com, we demonstrate that our method can provides effective decision recommendation for consumers.

정부 인적자원관리에 관한 태도 유형화 연구: 중앙행정기관 공무원의 시선을 중심으로

If effective human resource management (HRM) is key to enhancing the competitiveness of government organizations, understanding what public servants want and prioritize in their roles becomes crucial. By reflecting diverse opinions and needs, tailored strategies can be developed, which provide a basis for policy improvements and changes during the system implementation process, and offer rational solutions to reduce resistance within the organization. Therefore, this study seeks to categorize the various perceptions public servants hold toward government HRM and to compare the characteristics of each type using Q methodology. Specifically, the study focuses on strategic HRM and electronic HRM, which are recognized as critical objectives in contemporary HRM. The analysis identifies four broad categories of desired directions for government HRM: 1) establishing a rational system to enhance HRM acceptability, 2) designing predictive HRM based on long-term goals, 3) implementing HRM that drives changes in both government organizations and their members, and 4) providing personalized, satisfaction-oriented HRM opportunities. Based on these findings, the study offers strategic recommendations for improving government HRM moving forward.

“Where Do Children Go?”: Exploring Children’s Daily Destinations With Children, Parents, and Experts

Research on children’s destinations has primarily focused on school trips, yet their lives are more than that. Different destinations contribute to children’s quality of life in different ways, but this is rarely examined. For our research, focus groups were conducted with different stakeholders to better understand non-school destinations, namely by identifying common, daily, and informal destinations and perceptions of how they relate to children’s well-being. Online focus group discussions were conducted with children (aged 8–12), parents (with children aged 7–13), and experts from different cities across Canada in May and June 2023, to obtain diverse opinions about children’s destinations. The analysis was conducted based on a prior review to categorize children’s destinations, identify informal destinations, green and grey places, and the relation between those destinations to children’s well-being. Discussions with parents, children, and experts highlighted the diversity of destinations relevant to children. Leisure destinations were one of the most mentioned in the discussions. Spaces without specific rules or structures were identified by experts as beneficial for children’s cognitive, social, physical, and psychological health. Parents mentioned primarily formal places, whereas children and experts mentioned primarily informal ones. Green destinations were more associated with physical well-being, though children dominantly associated green destinations with psychological well-being as well. All groups dominantly associated grey-type destinations with social and cognitive well-being. Using these results, urban planners can develop strategies to improve children’s access to their daily destinations that support their well-being.

Unveiling power dynamics in Latin American economic education: A Foucauldian analysis of development economics discourses

This study explores Latin American perspectives on heterodox economic development by analyzing 23 development economics syllabi and conducting 37 semi-structured interviews with educators and students. Using a Foucauldian framework and an Archaeology of Knowledge approach, this research uncovers regional viewpoints and variations in course content. Results highlight the dominance of the neoclassical paradigm in syllabi and diverse opinions on development. This study provides nuanced insights into the coexistence of orthodox and heterodox paradigms in Latin America, revealing complex dynamics and power relations within economic education and the broader discourse on development in the region.

Political ideology shapes support for the use of AI in policy-making

In a world grappling with technological advancements, the concept of Artificial Intelligence (AI) in governance is becoming increasingly realistic. While some may find this possibility incredibly alluring, others may see it as dystopian. Society must account for these varied opinions when implementing new technologies or regulating and limiting them. This study (N = 703) explored Leftists’ (liberals) and Rightists’ (conservatives) support for using AI in governance decision-making amidst an unprecedented political crisis that washed through Israel shortly after the proclamation of the government’s intentions to initiate reform. Results indicate that Leftists are more favorable toward AI in governance. While legitimacy is tied to support for using AI in governance among both, Rightists’ acceptance is also tied to perceived norms, whereas Leftists’ approval is linked to perceived utility, political efficacy, and warmth. Understanding these ideological differences is crucial, both theoretically and for practical policy formulation regarding AI’s integration into governance.

State-of-the-art cranial ultrasound in clinical scenarios for infants born at term and near-term.

Neonates admitted to the intensive care unit are at risk of brain injury. Importantly, infants with signs of neurological impairment need prompt diagnosis to guide intervention. Cranial ultrasound (CUS) is the first-line imaging tool for infants born preterm. New developments in this technology, which now incorporates high-resolution equipment, have notably improved the performance of CUS in infants born at term and near-term. On the other hand, the potential of CUS as a diagnostic tool in older infants is less established. The lack of studies focusing on this topic, local protocol variability among clinical sites, and divergent opinions on CUS patterns of disease entities are the main constraints. This review provides an overview of state-of-the-art CUS as a decision-making tool under different clinical scenarios, such as neonatal encephalopathy, seizures, and suspected central nervous system infection. The CUS features that characterize several patterns supporting a diagnosis are detailed, focusing on haemorrhage and infection.

Opinion divergence, investor sentiment, and stock liquidity: Evidence from social media

ABSTRACT This paper developed a mediating effect model of retail opinion divergence, investor sentiment, and stock liquidity to investigate how investor comments and bullish-bearish-polling activities on social media affect investors’ attitudes and behaviours, thus, the stock market. The paper first used the Python programming language to scrape the bullish-bearish-polling outcomes for each stock and developed an investor opinion divergence index. Next, the study collected online investor comments, from which an online investor sentiment index was developed through machine-learning-based ways. The analysis results show that both investor sentiment and retail opinion divergence significantly impact stock liquidity, and investor sentiment plays a mediating role in it.

Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational Study.

Studies have shown that patients have difficulty understanding medical jargon in electronic health record (EHR) notes, particularly patients with low health literacy. In creating the NoteAid dictionary of medical jargon for patients, a panel of medical experts selected terms they perceived as needing definitions for patients. This study aims to determine whether experts and laypeople agree on what constitutes medical jargon. Using an observational study design, we compared the ability of medical experts and laypeople to identify medical jargon in EHR notes. The laypeople were recruited from Amazon Mechanical Turk. Participants were shown 20 sentences from EHR notes, which contained 325 potential jargon terms as identified by the medical experts. We collected demographic information about the laypeople's age, sex, race or ethnicity, education, native language, and health literacy. Health literacy was measured with the Single Item Literacy Screener. Our evaluation metrics were the proportion of terms rated as jargon, sensitivity, specificity, Fleiss κ for agreement among medical experts and among laypeople, and the Kendall rank correlation statistic between the medical experts and laypeople. We performed subgroup analyses by layperson characteristics. We fit a beta regression model with a logit link to examine the association between layperson characteristics and whether a term was classified as jargon. The average proportion of terms identified as jargon by the medical experts was 59% (1150/1950, 95% CI 56.1%-61.8%), and the average proportion of terms identified as jargon by the laypeople overall was 25.6% (22,480/87,750, 95% CI 25%-26.2%). There was good agreement among medical experts (Fleiss κ=0.781, 95% CI 0.753-0.809) and fair agreement among laypeople (Fleiss κ=0.590, 95% CI 0.589-0.591). The beta regression model had a pseudo-R2 of 0.071, indicating that demographic characteristics explained very little of the variability in the proportion of terms identified as jargon by laypeople. Using laypeople's identification of jargon as the gold standard, the medical experts had high sensitivity (91.7%, 95% CI 90.1%-93.3%) and specificity (88.2%, 95% CI 86%-90.5%) in identifying jargon terms. To ensure coverage of possible jargon terms, the medical experts were loose in selecting terms for inclusion. Fair agreement among laypersons shows that this is needed, as there is a variety of opinions among laypersons about what is considered jargon. We showed that medical experts could accurately identify jargon terms for annotation that would be useful for laypeople.

How Does Visibility Count? An Open Data‐Driven Approach to Compare the Use of Ground Visibility in Archaeological Field‐Walking Surveys in the Mediterranean Region

ABSTRACTThere is a common agreement among archaeologists that assessing visibility in the field is essential to measure the accuracy of their observations. Archaeologists widely expect that low visibility negatively impacts the recovery rate of artefacts and sites during field‐walking surveys. However, they hold fundamentally divergent opinions on using recorded visibility values and on whether or how to weight the results. In this paper, I undertake a review and comparison of ground visibility assessments from three archaeological field‐walking surveys conducted in the eastern Mediterranean, all of which have published their data. Capitalizing on the availability of open data, I recode and analyse the algorithms employed in these surveys. The results highlight the impacts of weighting techniques, and I compare the maps produced with and without weighting. In all cases, the corrections do not substantially change the interpretations of the results at the scale of site identification. As such, this data‐driven experiment contributes to the ongoing debate on how to compare effectively and integrate data from various survey projects to study regional trends.

Solo music performance assessment criteria: a systematic review.

Assessment is a crucial aspect of music performance. In pedagogical contexts, an effective assessment process can measure student achievement and inform instructional decisions that contribute to improving teaching and learning. However, music performance assessment is particularly challenging due to its inherent subjectivity, involving personal expression and interpretation, which can lead to divergent opinions. In this PRISMA systematic review (registration DOI: 10.17605/OSF.IO/CSM8Q), we aimed to delimit and analyze solo music performance assessment systems found in the literature to date, including their corresponding evaluation categories and descriptive criteria, rating methodology, and target audience. A search in three main scientific databases (Web of Science, Scopus, ERIC) was conducted using keywords associated with the topic of assessment in the field of solo music performance. Ultimately, 20 papers were selected and examined, resulting in 26 original assessment systems for analysis. Regarding sample characteristics, we found that studies mainly focused on evaluating high school and university students, with music teachers and faculty members serving as primary evaluators. Many assessment systems were designed to be applicable across various instruments, although some were tailored to specific instruments (e.g., piano, voice) and families (e.g., brass, woodwind). Systems typically structured evaluation around technical, interpretative/expressive, and various musical feature categories (e.g., pitch, rhythm, intonation), further elaborated with descriptive items. While five-point Likert scales were commonly used, recent studies indicated a shift towards rubrics for detailed feedback, which aids examiners' understanding and supports student progress. No differentiation was found in assessment criteria based on students' learning stages, suggesting an area for improvement in refining these assessment methods. This study identifies gaps and proposes improvements in existing assessment systems, providing a foundation for educators and policymakers to enhance curriculum design and instructional practices in music education.

Polar Contradictions: China’s Dialectical Thinking About the Arctic

ABSTRACT Using China’s seemingly contradictory positions on the Arctic as a starting point, this article examines China’s official and academic Arctic discourses. This paper proposes that China’s apparently contradictory positions in the Arctic region are the result of the dialectical resolution of discursive tensions. Using an original dataset of over one thousand Chinese academic articles and books, together with China’s official statements, this article presents China’s Arctic policy discourse as a polyphonic landscape where diverse opinions and ideas compete within a discursive field. The research proposes that by utilising dialectical thinking, China is able to seek a middle ground between conflict and cooperation, between the near-Arctic state and stakeholder identities and between resource development and environmental protection. China also aims to preserve the status quo while striving to reform Arctic governance.

Climate transition risk, environmental news coverage, and stock price crash risk

Sudden shifts in climate policy, technological innovation, and market preference can negatively impact a firm's asset value, leading to potential climate transition risk. While numerous studies have examined the economic implications of climate transition risk, few have explored its impact on stock price crash risk. This study addresses this gap by introducing a novel quantitative method for assessing climate transition risk and analyzing its effect on stock price crash risk. Our findings indicate a significantly positive relationship between climate transition risk and stock price crash risk. This relationship can be mitigated by environmental news coverage. It is also found that the positive impact of climate transition risk on stock price crash risk is mainly realized through the paths of managers' hoarding of bad news and investors' divergence of opinion. The heterogeneity analysis further suggests that the positive effect of climate transition risk on stock price crash risk is weaker for firms with higher ESG performance, whereas this effect is more pronounced for firms with greater exposure to natural disasters and those operating in regions with stringent environmental regulation. Overall, our study provides novel empirical evidence on the relationship between climate risk and financial stability.

Can History Bring Reconciliation in Divided Christian Communities?

As Elazar Barkan, the founding president of the Institute for Historical Justice and Reconciliation, pointed out, the recounting of history has been exploited to provoke conflict, incite war, and inflame genocides. Can it also be drawn upon to facilitate reconciliation? Indeed, many conflicts have an ideological component which is based on contested views of history. This applies to the Christian churches, starting with the Reformation. Using four case studies, the article argues that “good” history, based on reliable archival and oral evidence, can lay the foundation for a more serene view of the past and lead to reconciliation. It is essential to consider all points of view. The historian must navigate between diverse opinions and emotions, deepening the analysis when there are conflicts of interpretation. The article examines four recent memory debates in the Christian churches: the painful closure of the Federal Theological Seminary in 1993; the silence of the Rwandan churches during the genocide against the Tutsi in Rwanda in 1994; the brutal transfer of a group of black sisters from Newcastle to Montebello in 1939; and race relations and the search for unity in the history of the Lutheran churches of Southern Africa.

The Controversy of Siyahi Marriage: A Maqasid Shariah Perspective and Its Relevance in Indonesia

The phenomenon of Nikah Siyahi, or temporary marriage during travel, has become a controversial topic in Islamic law. This practice is often carried out by Muslim travelers to enjoy sexual relations without violating religious principles. However, scholars have diverse opinions regarding Nikah Siyahi. Some endorse it as an alternative to avoiding zina (fornication), while others reject it for undermining fundamental values of marriage, such as commitment and purity. This study aims to explore Islamic legal perspectives on Nikah Siyahi and analyze the impacts of this practice through the lens of Maqasid Shariah, which are the primary principles of Islamic law intended to protect religion, life, lineage, property, and intellect. The research employs a library research method to gather views from various literatures on Islamic law. Although it may formally meet the requirements of Islamic marriage, Nikah Siyahi fundamentally contradicts the ideal objectives of marriage in Islam. From the perspective of Maqasid Shariah, this practice can have negative repercussions on the dignity of religion, mental health, family stability, and the rights of offspring. In Indonesia, where marriage law is clearly regulated, this practice brings more harm than benefit. Therefore, the enforcement of law and community education regarding the essence of marriage in Islam must be strengthened to protect fundamental values of Shariah

Genetic testing perspectives in Pakistani population: a survey on knowledge, attitudes, awareness, and concerns.

A higher rate of consanguineous marriages is associated with the increasing prevalence of genetic disorders, imposing a significant burden on families, public health, and healthcare systems. Genetic testing facilitates the earlier detection of disease and personalized treatment approaches. Therefore, this study aims to assess knowledge, awareness, attitudes, and concerns regarding genetic testing in the Pakistani population. Participants (n = 494) were asked about factors that influence attitudes toward undergoing genetic testing. Furthermore, the study also investigates the concerns and reservations held by the Pakistani population regarding genetic testing. Participants indicated that consanguineous marriages lead to an increased risk of hereditary disorders and agreed that knowledge of genetic diseases can improve the quality of life. Almost 80% of the respondents know the term, and the majority of them know about genetic testing. 87.7% of respondents agreed to genetic screening before marriage, and 39.9% were willing to undergo genetic testing. More knowledge was significantly associated with a higher likelihood of accepting genetic testing, indicating potential acceptance if integrated into standard procedures. Those with a family history of genetic disorders were more positive in accepting genetic testing. The level of understanding regarding genetic testing also influences the concerns. Cultural or religious beliefs may also affect the decision to accept genetic testing. The survey reveals diverse opinions and knowledge levels regarding genetic testing in Pakistan. While there was generally positive interest, concerns about privacy, accuracy, and cultural factors should be addressed. Education and awareness campaigns could help improve understanding and acceptance.

Rapid foresight: Information technologies in Physics lessons

Abstract This research, conducted as part of the curriculum in the discipline of Modern Learning Technologies, explores strategies for improving the training of future teachers in response to the dynamic educational landscape. The discipline is an integral component of the educational program designed for students aspiring to become educators. A total of 12 students participated in the study, engaging in a collaborative and iterative process to identify key areas for enhancement in teacher training. The rapid evolution of learning technologies necessitates a proactive approach in preparing future teachers for the challenges and opportunities in the educational landscape. In this study, students enrolled in the educational program for prospective teachers played an active role in the research process. The objective was to leverage the insights and perspectives of these students to identify areas for improvement in teacher training. Twelve students participating in the study were enrolled in the Modern Learning Technologies course. This cohort engaged in a rapid foresight approach, involving activities such as focus group discussions, brainstorming sessions, and collaborative workshops. The methodology aimed to gather diverse opinions on emerging trends in education and technology and to envision potential future scenarios. The findings of the study highlighted key trends in modern learning technologies, including advancements in educational technology, shifts in learning preferences, and evolving classroom dynamics. Students actively contributed to scenario-building exercises, providing valuable input into the skills and competencies they deemed essential for future teachers. The assessment of current teacher training programs revealed areas where adjustments and enhancements were deemed necessary. The active involvement of students in the research process proved to be instrumental in gaining firsthand insights into the needs and expectations of future educators. Collaborative workshops facilitated a co-creation of strategies for improving teacher training programs, ensuring that the enhancements were aligned with the dynamic nature of the educational environment. This research, conducted within the framework of the Modern Learning Technologies course, emphasizes the significance of involving students in the foresight process for enhancing teacher training. The collaborative and iterative nature of the approach ensures that the strategies developed are responsive to the evolving trends and needs in education. As the educational landscape continues to evolve, incorporating student perspectives into teacher training becomes imperative for fostering effective and adaptive educators.

Unearthing the factors of big data analytics (BDA) adoption in supply chain management (SCM)

Technology has revolutionized business operations around the world. There is an ever-increasing trend to digitize business operations around the world. It is not uncommon to see the application of Big Data Analytics (BDA) throughout a vast range of industries and organizations in today's extremely competitive world. However, BDA adoption in supply chain (SC) is less accepted and research in this area remains at its infancy. BDA is extremely useful throughout supply chain functions like manufacturing, distribution, procurement, and marketing. However, a sizable portion of sectors continues to hold divergent opinions regarding big data's alleged benefits. Moreover, there is not a lot of empirical studies that have been published that addresses the adoption of such a tool or better yet, that investigates what factors affect the decision to adopt BDA in supply chain management (SCM). This study aims to develop and extend technology acceptance model (TAM) that considers the critical factors that may affect BDA adoption in SCM by critically analyzing the existing literature. Upon reviewing the literature, it became evident that the main categories of factors that have been thoroughly examined and recognized to be crucial in comprehending BDA adoption and acceptability in SCM are the organizational- and individual-related factors, such as top management and computer self-efficacy.

Exploring Nursing Students' Metaphorical Perceptions and Cognitive Structures Related to the Global Climate Crisis's Impact on Nursing.

This study aimed to explore the metaphorical perceptions and cognitive structures of Turkish nursing students related to the impact of the global climate crisis on their profession. Researchers adopted a qualitative approach centered on metaphor analysis and involved 40 Turkish nursing students enrolled in programs in Türkiye during October 2023. Using metaphor analysis and techniques involving writing and drawing, the study uncovered how these students perceive and cognitively structure the influence of the global climate crisis on their nursing careers. The interview form featured the metaphor expression "The reflection of the global climate crisis on nursing is like … because …," while the drawing component prompted students to determine their perspectives on the climate crisis's impact on nursing through concept drawings. The research adhered to the COREQ checklist. The study revealed that nursing students generated 22 metaphors each through written and drawing techniques. Written metaphors were grouped into five categories: psychosocial challenges faced by nurses, patient populations, diseases and coping, burdens on the health system, and the growing importance of various fields within nursing. Drawing technique metaphors were grouped into four categories: nurses and the difficulties they face, the impact of the global climate crisis on the world, the impact of the global climate crisis on the healthcare sector, and the roles and responsibilities of nurses. While nursing students expressed diverse opinions, their concerns about the reflection of the global climate crisis on nursing yielded similar emotional responses. Metaphors are mostly focused on psychosocial challenges faced by nurses, the patient population, diseases, and coping mechanisms. The findings underscored nursing students' concerns about the global climate crisis's impact on both their profession and the broader community.

Collaborative learning and persistence in music education: Examining music self-perception as a mediator among adolescent students

Declining enrolments and low persistence in music education are universal concerns among music educators. Identifying social-cognitive constructs that might be predictive of adolescent student persistence may assist in the development of interventions aimed at promoting persistence in music education in a global context. Using quantitative measures, this study considers the relationships between collaborative learning, music self-perception and perceived task persistence among secondary music students in Kenya. Collaborative learning has been shown to effectively enhance students’ engagement by exposing them to diverse opinions and perspectives, which stimulates learning, persistence and performance. Positive music self-perception enhances students’ confidence, motivation and determination. However, peer appraisals and comparisons during collaborative learning may impact students’ music self-perception and how they are perceived by their peers, which consequently reflects on their learning behaviour. Results from multiple regression analyses revealed that collaborative learning and music self-perception had significant positive predictive values for perceived task persistence. The two variables jointly accounted for approximately 17% of the variance in perceived task persistence. Mediation analyses using PROCESS revealed that music self-perception partially mediates the relationship between collaborative learning and perceived task persistence.

Interpreting A Rose for Emily

William Faulkner is a famous American writer, who receives the 1950 Nobel Prize for Literature. His short story, A Rose for Emily, makes a deep impression on me. Different people hold diverse opinions on the short story since its publication. Here is my thought: Emily is the victim of tradition and love.