Quality Of Information Research Articles

Division Managers’ Private Information and Capital Investment Efficiency: Exploiting External Social Connections as an Information Source

ABSTRACT We examine the relation between division-level information and capital investment in conglomerates, exploiting the external social connections of division managers (DMs) as an information source. We find that investment efficiency, proxied by investment sensitivity to relative divisional investment opportunities, is higher for divisions whose DMs are socially connected with the CEOs of industry peers than divisions without such connections. This effect is stronger when headquarters are more likely to delegate decisions (proxied by larger information distances between headquarters and the divisions and by greater division operational uncertainties), when the DMs’ information source is more useful (proxied by the closeness of DMs’ external social connections and the information quality from the connected external CEOs), and when the DM has greater influence in the conglomerate. Further, connected divisions exhibit higher profitability in the subsequent years than unconnected divisions. Our study sheds light on how division-level information influences internal capital allocation and performance. Data Availability: Data are available from the sources cited in the text. JEL Classifications: G30; G34; M40.

Pilot Study Analysis-Influence of Customer Reviews on Online Hotel

This article outlines a conceptual framework for comprehending the variables affecting hotel visitors' online booking choices. As stimuli, the following five independent variables have been suggested: 1) perceived interaction, 2) information quality, 3) safety and privacy, 4) price and promotion, and 5) e-WOM. Survey data was collected from 100 respondents who had experience booking hotels online. The perceived value construct was the mediati ng variable aff ecti ng hotel guests' intenti on to make an online reservati on. The study results show that perceived value influences online booking intention, with a statistically significant level of 5%.

ANALISIS EFEKTIVITAS APLIKASI MYITS THESIS MENGGUNAKAN CONFIRMATORY FACTOR ANALYSIS UNTUK PENINGKATAN LAYANAN PENYELENGGARAAN UJIAN PADA PROGRAM DOKTOR ILMU KOMPUTER

In the global era, Information Systems in higher education institutions are a must. Institut Teknologi Sepuluh Nopember (ITS) continuously makes efforts to develop information systems for various academic and non-academic services for the lecturer and students. One of the academic services developed at ITS is myITS Thesis application. myITS Thesis is one of the applications prepared for the management of scholars Final Project. The Computer Science Doctoral Program (PDIK) has implemented the application for examination services including qualification hearings progress, seminars, and closed dissertation hearings. This study aims to measure the effectiveness of using the myITS Thesis application in managing PDIK dissertation research services to stakeholders, especially PDIK scholars. Measurements were carried out by surveying through questionnaires with PDIK participants who used the application in the 2023/2024 academic year. The effectiveness of the application is measured through five factors, namely System Quality (KS), Information Quality(KI), System Use(PS), User Satisfaction(KP), and Individual Impact(DI). The five factors are measured through 30 Question Indicators to 55 respondents. The results of the questionnaire survey were processed using descriptive analysis and CFA modeling. CFA is used to measure validity and reliability through Standardized Loading Factor (SLF), Cronbach Alpha (CA), and Composite Reliability (CR) values. It is concluded from the modeling results based on validity and reliability measurements that the KS factor is valid with CA value=0.931 and reliable with CR value=0.73, the KI factor is valid with CA value=0.923 and reliable with CR value=0.706, the PS factor is valid with CA value=0.95 and reliable with CR value=0.734. While the KP factor is valid with CA value=0.972 and reliable with CR value= 0.814. Therefore, the myITS Thesis application has been quite effective in improving exam administration services.Keywords: questionnaire, descriptive analysis, PDIK, myITS Thesis, CFA modeling

Analysis of Field Work Practice Information System Service Quality Using The Webqual 4.0 Method and Importance Performance Analysis

In the current digital era, the quality of website services is a crucial factor in supporting the effectiveness and efficiency of information systems, including the Information Systems Study Program Field Work Information System (SIPKL) at Universitas Terbuka. However, currently there is no in-depth evaluation of the quality of SIPKL services from a user perspective. This research aims to review the service quality of the SIPKL website as a whole and measure the level of user satisfaction with the services provided. To achieve this goal, the WebQual 4.0 method is used which measures three main dimensions of service quality, namely usability, information quality, and interaction quality. In addition, the Importance Performance Analysis (IPA) method is applied to evaluate the importance and performance of each service attribute being measured, so as to identify areas that require improvement. Data was collected through a survey with 100 respondents from Information Systems study program students who had used the SIPKL website. The research results show a value of 101.6% for the level of conformity, which indicates that the SIPKL website service performance has met or even exceeded user expectations and interests. Meanwhile, the gap value is categorized as "Good" with a positive value of 0.08 or >0. Indicators that require improvement are in quadrants II and III. Overall, this research provides strategic recommendations for SIPKL website managers to improve service quality so that it is more optimal in supporting students' needs in undergoing PKL.

Application of 3D Gaussian Splatting target Reconstruction in short-range detection

Abstract The research presented in this paper successfully introduces the emerging 3D reconstruction technology to specific application scenarios, especially for the strict requirements of information authenticity and timeliness for reconnaissance equipment and platforms. Traditional methods have the problems of slow speed and damaged reconstruction quality in processing reconnaissance information. In order to solve the problem of limited computing power of aerial detection platform and improve the reconstruction quality and efficiency of complex scenes, this paper introduces three-dimensional Gaussian Splatting (3DGS) method for testing. Experimental results show that 3DGS has excellent performance in rendering accuracy and real-time performance, which can effectively meet the performance requirements of aerial detection platforms. We tested it on a virtual dataset, and the experimental results show that it can also maintain excellent performance in the real world.

Peer Review as a Professional Obligation: Steps and Tips to Becoming a High-Quality Reviewer

Peer review is an essential step in the publication process and dissemination for scientific information to improve patient care and future research in pediatric patients. It is a professional obligation to ensure high quality, reliable, and relevant information is published. Despite this, many journals face problems finding peer reviewers. Several journals and organizations have developed resources to aid in the training of peer reviewers. The purpose of this primer is to provide an overview of the steps of peer review and to emphasize key points on how to conduct a peer review.

The impact of social media marketing efforts on buying intentions within the brewing sector

Abstract Social Media Marketing Activities (SMMA) encompass several dimensions that enhance brand engagement on social media platforms: Entertainment focuses on engaging users through fun; Interaction emphasises the two-way communication between the brand and its consumers; Trends involves leveraging current cultural and market trends; Personalisation deals with tailoring messages; Advertising refers to the direct promotion of products; e-WOM Intensity measures the frequency and spread of information; e-WOM Emotional Value evaluates the emotional impact of this information; and e-WOM Content evaluates the quality of information shared. This study used a quantitative methodology to explore the impact of social media marketing activities (SMMA) on Instagram on users’ purchase intentions, with specific reference to the SuperBock brand. Data collection was carried out using an online questionnaire. The survey was administered to a non-probabilistic convenience sample of 202 individuals recruited primarily from social media platforms where SuperBock has an active presence. The convenience sampling method is preferred due to its ease of implementation in research design, cost effectiveness and time efficiency. Statistical analysis of the data was carried out using SPSS software. The results indicate that all dimensions of SMMA on SuperBock’s Instagram have a positive impact on consumers’ purchase intentions. The dimension ‘Advertising’ exerts the most significant positive impact, followed by ‘Emotional Value’ and ‘Intensity of e-WOM’. It was found that e-WOM dimensions play a significant role in influencing consumers’ purchasing decisions. This study advances our understanding of how Instagram influences purchase intentions for SuperBock. The use of a non-probabilistic convenience sample limits the generalisability of conclusions.

Cervical ripening at home or in hospital during induction of labour: the CHOICE prospective cohort study, process evaluation and economic analysis.

Around one in three pregnant women undergoes induction of labour in the United Kingdom, usually preceded by in-hospital cervical ripening to soften and open the cervix. This study set out to determine whether cervical ripening at home is within an acceptable safety margin of cervical ripening in hospital, is effective, acceptable and cost-effective from both National Health Service and service user perspectives. The CHOICE study comprised a prospective multicentre observational cohort study using routinely collected data (CHOICE cohort), a process evaluation comprising a survey and nested case studies (qCHOICE) and a cost-effectiveness analysis. The CHOICE cohort set out to compare outcomes of cervical ripening using dinoprostone (a prostaglandin) at home with in-hospital cervical ripening from 39weeks of gestation. Electronic maternity record data were collected from 26 maternity units. Following pilot analysis, the primary comparison was changed to ensure feasibility and to reflect current practice, comparing home cervical ripening using a balloon catheter with in-hospital cervical ripening using any prostaglandin from 37weeks of gestation. Analysis involved multiple logistic regression for the primary outcome and descriptive statistics for all other outcomes. The qCHOICE study reported descriptive statistics of quantitative survey data and thematic analysis of focus group and interview data. The economic analysis involved a decision-analytic model from a National Health Service and Personal Social Services perspective, populated with CHOICE cohort and published data. Secondary analysis explored the patient perspective utilising cost estimates from qCHOICE data. Twenty-six United Kingdom maternity units. Women with singleton pregnancies at or beyond 37weeks of gestation having induction with details of cervical ripening method and location recorded. Neonatal unit admission within 48hours of birth for 48hours or more. Maternal and staff experience of cervical ripening. Incremental cost per neonatal unit admission within 48hours of birth avoided. Electronic maternity records from 26 maternity units; survey and interviews with service users/maternity staff; focus groups with maternity staff; published literature on economic aspects. CHOICE cohort: A total of 515 women underwent balloon cervical ripening at home and 4332 underwent in-hospital cervical ripening using prostaglandin in hospitals that did not offer home cervical ripening. Neonatal unit admission within 48hours of birth for 48hours or more following home cervical ripening with balloon was not increased compared with in-hospital cervical ripening with prostaglandin. However, there was substantial uncertainty with the adjusted analysis consistent with a 74% decrease in the risk through to an 81% increase. Important aspects of service users' experience of home cervical ripening were quality of information provided, support and perception of genuine choice. Home cervical ripening with balloon led to cost savings of £993 (-£1198, -£783) per woman and can be considered the dominant strategy. Circumstances relating to the COVID-19 pandemic limited the number of participating maternity units and the duration for which units participated. Low numbers of women having at-home cervical ripening limited the power to detect differences in safety, effectiveness, cost and acceptability between study groups. Home cervical ripening using balloon catheter may be as safe for babies as using prostaglandins in hospital in low and moderate-risk groups, but there is substantial uncertainty. Home cervical ripening with balloon is likely to be cost saving. Impacts on workload, service user and staff experiences were complex. Future research should focus on optimising experience and logistics of home cervical ripening within busy maternity services. Current Controlled Trials ISRCTN32652461. This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: NIHR127569) and is published in full in Health Technology Assessment; Vol. 28, No. 81. See the NIHR Funding and Awards website for further award information.

The Impact of Complexity and Ambiguity of Accounting Disclosures on Corporate Cash Holdings

This work aims to investigate the association of complex and vague information of accounting disclosures with firms’ cash holdings policy. The sample includes firm year observations from the annual reports of U.S. firms (10-Ks) for the period 1999 to 2016. Financial data obtained from the Compustat/Center for Research in Security Prices (CRSP) database are merged with qualitative data from textual analysis of the reports. The main finding of the study indicates that companies with complex and ambiguous reports tend to retain a higher level of cash to overcome the higher cost of raising external capital. This is in line with the agency motive and the precautionary motive theories from the cash holdings literature. The results of this research work provide further knowledge to researchers, managers, financial analysts, and investors as they contribute to the deeper analysis and comprehension of corporate cash holdings policy shedding the light on its association with accounting information quality. This work contributes to two growing strands of accounting literature: cash holdings literature and literature on the quality of corporate disclosures. Specifically, it adds empirical evidence to research questions that are not widely examined in the relevant literature, expanding the range of measures of complexity and ambiguity of accounting information that are used.

Quality and Readability of Noise-Induced Hearing Loss Prevention-Related Websites.

This cross-sectional website analysis aimed to determine the readability and quality of English and Spanish websites pertaining to the prevention of noise-induced hearing loss. Cross-sectional website analysis. Various online search engines. We queried four popular search engines using the term "noise-induced hearing loss prevention" to reveal the top 50 English and top 50 Spanish websites for data collection. Websites meeting inclusion criteria were stratified based on the presence of a Health on the Net Code certificate (independent assessment of honesty, reliability, and quality). Websites were then independently reviewed by experts using the DISCERN criteria in order to assess information quality. Readability was calculated using the Flesch reading ease score for English and the Fernandez-Huerta formula for Spanish websites. Thirty-six English websites and 32 Spanish websites met the inclusion criteria. English websites had significantly lower readability (average = 56.34, SD = 11.17) compared to Spanish websites (average = 61.88, SD = 5.33) (P < .05). Spanish websites (average = 37, SD = 8.47) were also of significantly higher quality than English websites (average = 25.13, SD = 10.11). This study emphasizes the importance of providing quality and readable materials to patients seeking information about noise-induced hearing loss prevention. All of the English and Spanish websites reviewed were written at a level higher than the American Medical Association-recommended sixth-grade reading level. The study also highlights the need for evidence-based information online provided by experts in our field.

Impact of Demographic Modifiers on Readability of Myopia Education Materials Generated by Large Language Models.

The rise of large language models (LLM) promises to widely impact healthcare providers and patients alike. As these tools reflect the biases of currently available data on the internet, there is a risk that increasing LLM use will proliferate these biases and affect information quality. This study aims to characterize the effects of different race, ethnicity, and gender modifiers in question prompts presented to three large language models (LLM) on the length and readability of patient education materials about myopia. ChatGPT, Gemini, and Copilot were provided a standardized prompt incorporating demographic modifiers to inquire about myopia. The races and ethnicities evaluated were Asian, Black, Hispanic, Native American, and White. Gender was limited to male or female. The prompt was inserted five times into new chat windows. Responses were analyzed for readability by word count, Simple Measure of Gobbledygook (SMOG) index, Flesch-Kincaid Grade Level, and Flesch Reading Ease score. Significant differences were analyzed using two-way ANOVA on SPSS. A total of 150 responses were analyzed. There were no differences in SMOG index, Flesch-Kincaid Grade Level, or Flesch Reading Ease scores between responses generated with prompts containing different gender, race, or ethnicity modifiers using ChatGPT or Copilot. Gemini-generated responses differed significantly in their SMOG Index, Flesch-Kincaid Grade Level, and Flesch Reading Ease based on the race mentioned in the prompt (p<0.05). Patient demographic information impacts the reading level of educational material generated by Gemini but not by ChatGPT or Copilot. As patients use LLMs to understand ophthalmologic diagnoses like myopia, clinicians and users should be aware of demographic influences on readability. Patient gender, race, and ethnicity may be overlooked variables affecting the readability of LLM-generated education materials, which can impact patient care. Future research could focus on the accuracy of generated information to identify potential risks of misinformation.

Replicating the ‘seductive allure of neuroscience explanations’ effect in a classroom experiment and an online study

The ‘seductive allure of neuroscience explanations’ effect refers to the observation that superfluous neuroscience information (SNI) added to an explanation can bias judgements of information quality. We report the results of a classroom experiment to sensitize undergraduate students to that issue. In contrast to previous studies, students rated good explanations without SNI the highest. Inspired by these observations, we set out to conceptually replicate the original study using an online experiment that allowed us to directly assess the statistical interactions between explanation quality, the presence of SNI and expertise levels. In this preregistered study, participants ( n = 430) with varying levels of expertise rated the quality of good and bad explanations, with or without SNI. Irrespective of the presence of SNI, participants across all expertise levels rated good explanations more favourably than bad ones. Still, the differences were surprisingly small, and the variation in rating was high. We also found a statistically significant interaction between the impact of SNI and expertise, with SNI boosting ratings mostly in participants with less expertise ( p &lt; 0.001), corroborating previous findings. Developing a curriculum that trains students to distinguish between actual explanations and ‘crap’ would ultimately also sensitize teachers and experts that produce and review scientific information.

Reliable Quality Traceability for Tilapia Cold Chain Using Blockchain and Machine Learning Techniques

ABSTRACTTilapia are easily prone to degradation during the cold chain process, which is an urgent need for a transparent, efficient, and trustworthy traceability system. This paper designed and implemented a tilapia‐blockchain IoT traceability system (T‐BITS) based on Hyperledger Fabric. Intelligent sensing device and smart contracts were developed for traceability modeling and consensus optimization. Furthermore, a machine‐learning approach was used to achieve quality grading evaluation for tilapia cold chain. The GWO‐LSTM‐based key parameters prediction and PSO‐SVM‐based quality grading model were established. The results show that the T‐BITS system is more effective to capture and trace the critical ambient and quality information for tilapia cold chain. PSO‐SVM model accuracy for quality coupling grading reaches 93.33%. This work can provide decision‐making reference for tilapia quality control.

Short-term, lagged association of airway inflammation, lung function, and asthma symptom score with PM2.5 exposure among schoolchildren within a high air pollution region in South Africa.

Asthma affects millions of people globally, and high levels of air pollution aggravate asthma occurrence. This study aimed to determine the association between short-term lagged PM2.5 exposure and airway inflammation, lung function, and asthma symptom scores among schoolchildren in communities in the Highveld high-pollution region in South Africa. A cross-sectional study was conducted among schoolchildren aged 9-14 years in six communities in the Highveld region in South Africa, between October 2018 and February 2019. A NIOX 200 instrument was used to measure fractional exhaled nitric oxide (FeNO). Lung function indices (forced expiratory volume in one second [FEV1]; forced vital capacity [FVC] and FEV1/FVC) were collected using spirometry and the percent of predicted of these was based on the reference equations from the Global Lung Initiative, without ethnic correction. These values were further analyzed as binary outcomes following relevant thresholds (lower limits of normal for lung function and a cutoff of 35 ppb for FeNO). Asthma symptoms were used to create the asthma symptom score. Daily averages of PM2.5 data for the nearest monitoring station located in each community, were collected from the South African Air Quality Information System and created short-term 5-day lag PM2.5 concentrations. Additional reported environmental exposures were collected using standardized instruments. Of the 706 participating schoolchildren, only 1.13% of the participants had doctor-diagnosed asthma, compared to a prevalence of 6.94% with an asthma symptom score suggestive of asthma. Lag 1 (odds ratio [OR]: 1.01; 95% confidence interval [CI]: 1.00, 1.02, P = 0.039) and 5-day average lagged PM2.5 (OR: 1.02; 95% CI: 0.99, 1.04, P = 0.050) showed increased odds of the FeNO > 35 ppb. Lung function parameters (FEV1 < lower limit of normal [LLN] [OR: 1.02, 95% CI: 1.00, 1.03, P = 0.018], and FEV1/FVC < LLN [OR: 1.01; 95% CI: 1.00, 1.02, P < 0.001]) and asthma symptom score ≥ 2 (OR: 1.02; 95% CI: 1.00, 1.04, P = 0.039) also showed significant associations with lag 2, lag 4 and lag 1 of PM2.5, respectively. Lagged PM2.5 exposure was associated with an increased odds of airway inflammation and an increased odds of lung function parameters below the LLN particularly for the later lags, but a significant dose-response relationship across the entire sample was not consistent.

Factors Influencing Information Quality of Information Systems: A Systematic Literature Review

In today's digital era, information quality in information systems is essential for organizational effectiveness and decision-making. This systematic literature review aims to assess and synthesize factors influencing information quality across various systems, focusing on key dimensions such as reliability, accessibility, usability, accuracy, completeness, and timeliness. The existing literature is fragmented, lacking an integrated theory that comprehensively addresses the significance of information quality. Thus, a systematic review was conducted following the PRISMA framework to address this gap and provide evidence-based recommendations for research and practice. Studies were identified, screened, and selected from Scopus and Web of Science. After an initial search using specific keywords, a total of 1,548 articles were found that contained specified terms or strings in various combinations. Of these, 31 studies were chosen for full review based on predefined inclusion and exclusion criteria. The analysis was organized into three primary themes: i) Core Information Quality Factors, ii) Synergizing Information Quality with System and Service Quality, and iii) Impact of Information Quality on User Satisfaction and Organizational Outcomes. The results emphasize the significant role of high information quality in enhancing user satisfaction and operational efficiency. Different industries prioritize various quality dimensions according to their specific needs. Therefore, this review elucidates the imperative function of good quality information in reinforcing information systems' proper functioning, calling for empirical studies to develop holistic frameworks that incorporate multiple dimensions and impact analysis across different domains.

Systematic Literature Review: Pengaruh live streaming commerce, gamification experience, personalization recommendation dimediasi oleh customer engagement terhadap purchase Decision Pada Marketplace

This systematic literature review tries to answer the question of what research results and methods are used by searching for several variables The effect of live streaming commerce, gamification experience, personalized recommendations mediated by customer engagement on purchase decisions. This research uses a qualitative method with a literature study approach is a Systematic Literature Review (SLR) with the prism method with the help of Watase Uake, and the Mendeley Application. This research is limited by only looking for Scopus Q1, Q2, Q3, and Q4 journal articles, published in 2023-2024. Based on 408 articles reviewed, through a systematic literature review process, with article publication time in 2024. The results showed that 13 articles met the criteria and were used as references in this study. The results showed that in the context of e-commerce and live streaming, various factors such as information quality, social interaction, influencer characteristics, and emotional elements play an important role in influencing consumer behavior. Platform quality and parasocial relationships can increase perceived value and user engagement, while content credibility and streamer authenticity contribute to purchase decisions, suggesting that effective marketing strategies and a deep understanding of consumer interactions are critical to driving impulse purchase behavior and improving the overall consumer experience.

Characterization of Freeze-Dried Strawberries (Fragaria x ananassa var. Mencir): Quality on Physical Information

Drying fruits has many advantages for consumers, such as allowing them to be consumed in various processes and products during all seasons. Freeze-dried strawberries (FDS) are an alternative for adding value to fresh strawberries, extending shelf life, and maintaining fresh fruit characteristics. The study contributed to determine the quality physical characteristics of FDS produced using osmotic dehydration (OD) combined with freeze-drying. A combination of FDSs production with three factors and levels, freezing times (4d, 14d, and 21d); OD solution concentrations (40°Brix, 50°Brix, and 60°Brix); cleavage times (initial, pre-OD, and post-OD); immersion times of 120 minutes; and lyophilization times of 24 hours were used to prepare FDS. The quality of physical information of FDSs was the color of the skinned fruit (L*a*b* and change of color (∆E)) and texture. The results of the study showed that the highest degree of L* and a* values were found in the combination of 14d, 50°Brix, post-OD; the lowest b* value was found in the combination of 21d, 40°Brix, initial split; the lowest ∆E value and the highest FDSs skin texture was found in the combination of 4d, 60°Brix, pre-OD. As an innovation, since no official Indonesian National Standard (SNI) is used as a reference for producing FDS, the research contributes to making good FDS products.

Impact of System, Information, and Service Quality on Student Outcomes in Higher Education Video Conferencing

Impact of System, Information, and Service Quality on Student Outcomes in Higher Education Video Conferencing

Blockchain Technology and Quality of Accounting Information: A Systematic Literature Review

The purpose of this study is to examine the scholarly literature regarding the impact of blockchain technology on the quality of accounting information. ⁠The research methodology is a bibliometrically mapped Systematic Literature Review (SLR) comprising 36 reputable resources. The findings demonstrate numerous advantages of blockchain technology, particularly for accountants. One of the important advantages is distributed recordkeeping, which enhances information transparency and reduces information asymmetry. As a result, it significantly improves the quality of accounting information. ⁠The implication of this research is to provide comprehensive insights into the potential paradigm shift in accounting facilitated by blockchain adoption. Furthermore, the study serves as a foundational platform for future research on the implementation and impact of blockchain in accounting information quality.

Production Quality Evaluation of Electronic Control Modules Based on Deep Belief Network

The electronic control module is an important part of a digital electronic detonator, which undergoes a complex production process that includes three electrical performance tests and three visual inspection procedures. In each inspection procedure, several different types of data are generated daily, including numerical and categorical data. To evaluate the production quality of electronic control modules, an algorithm based on a Deep Belief Network with Multi-mutation Differential Evolution (MDE-DBN) is designed in this study. First, key indicators are extracted to construct a production quality evaluation index system. A Multi-mutation Differential Evolution algorithm is designed to optimize the initial network weights of the Deep Belief Network (DBN) and integrate the production quality information into the pre-training phase. Subsequently, the preprocessed experimental data are input into the MDE-DBN algorithm to obtain the distributions of excellent, general, and unqualified production statuses, verifying the effectiveness of the algorithm. The experimental results show that the MDE-DBN algorithm has significant advantages in evaluation accuracy when compared with DBNs improved by other intelligent optimization algorithms and machine learning methods.