Sophistication Level Research Articles

Measuring the impact of enterprise risk management on performance, value, and risk indicators of Borsa Istanbul XBANK companies with data mining prediction models

Risk management (RM) is viewed by organizations from a holistic perspective instead of a silo-based point of view and a change in basic assumptions has occurred in recent years. The comprehensive approach to RM that is developed based on a holistic perspective and is adopted by companies is called enterprise risk management (ERM). From the general point of view, it is expected that companies will have sustainable operations, improved performance and value, and controlled risks by using the ERM concept. In this article, the relations of ERM adaptation with firm performance, firm value, and risks were researched through ordinal variables such as the implementation level of ERM and the sophistication level of the organizational structure of ERM in regression models based on panel data (PD). Empirical evidence depending on a sample of ten banking companies listed on the Borsa Istanbul (BIST) Banks index (XBANK) for the period from 2019 to 2022 confirms the above basic argument for firm performance, firm value, and the insolvency risk of banks in general terms. In addition, the prediction accuracy of PD models is calculated for the performance, value, and risk indicators of banks, and the partial least squares regression model is proposed as the alternative prediction model of data mining.

Fifth grade science students’ modelling performance when using a particle model of matter to explain different phenomena connected to phase transitions

Models and modelling are key features in science. A particle model of matter is a basic model to explain the properties of substances and phase transitions. This study aims to gain insight into the modelling skills of 5th grade students who had been explicitly taught about models and a particle model of matter. The students’ ability to transfer their understanding of the particle model of matter to new contexts was studied, to see if prior modelling knowledge was transferable. The results showed that the students had an increase in sophistication level in their models, understood what needed to be included in a drawn model, and were also able to transfer some knowledge to a new context. This highlights how working with models and modelling helps students understand which explanatory entities are important when creating models in scientific teaching.

The Effect of Prosthetic Limb Sophistication and Amputation Level on Self-reported Mobility and Satisfaction With Mobility

ObjectiveTo determine if lower limb prosthesis (LLP) sophistication is associated with patient-reported mobility and/or mobility satisfaction, and if these associations differ by amputation level. DesignCohort study that identified participants through a large national database and prospectively collected self-reported patient outcomes. SettingThe Veterans Administration (VA) Corporate Data Warehouse, the National Prosthetics Patient Database, participant mailings, and phone calls. Participants347 Veterans who underwent an incident transtibial (TT) or transfemoral (TF) amputation due to diabetes and/or peripheral artery disease and received a qualifying LLP between March 1, 2018, and November 30, 2020. InterventionsBasic, intermediate, and advanced prosthesis sophistication was measured by the accurate and reliable PROClass system. Main Outcome MeasurePatient-reported mobility using the advanced mobility subscale of the Locomotor Capabilities Index-5; mobility satisfaction using a 0–10-point Likert scale. ResultsLower limb amputees who received intermediate or advanced prostheses were more likely to achieve advanced mobility than those who received basic prostheses, with intermediate nearing statistical significance at nearly twice the odds (adjusted odds ratio (aOR)=1.8, 95% confidence interval (CI), .98–3.3; P=.06). The association was strongest in TF amputees with over 10 times the odds (aOR=10.2, 95% CI, 1.1–96.8; P=.04). The use of an intermediate sophistication prosthesis relative to a basic prosthesis was significantly associated with mobility satisfaction (adjusted β coefficient (aβ)=.77, 95% CI, .11–1.4; P=.02). A statistically significant association was only observed in those who underwent a TT amputation (aβ=.79, 95% CI, .09–1.5; P=.03). ConclusionsProsthesis sophistication was not associated with achieving advanced mobility in TT amputees but was associated with greater mobility satisfaction. In contrast, prosthesis sophistication was associated with achieving advanced mobility in TF amputees but was not associated with an increase in mobility satisfaction.

Heterogeneous trade effects of technical non‐tariff measures: Vietnamese agricultural imports

This study investigates the impact of technical non‐tariff measures (NTMs), specifically technical barriers to trade (TBT) and sanitary and phytosanitary (SPS), of Vietnam on agricultural imports and the role of deep trade agreements. This issue has been primarily focused on advanced countries but rarely studied for developing countries. The estimates indicate that the impacts of technical NTMs on imports from least developed countries (LDCs) and non‐LDCs are heterogeneous in terms of the measures' sophistication level. Simple technical NTMs, namely labelling, marking, and packaging requirements, increase agricultural imports from LDCs, while there is no significant impact on those from non‐LDCs. Other categories of TBT and SPS NTMs impede imports from LDCs, while benefiting imports from non‐LDCs. In addition, we found that deep trade agreements can ease the burdens of technical NTMs, but this is limited to imports from non‐LDCs. The findings of this study can help policymakers in better regulating agricultural imports to prevent harmful imports with minimal impacts on the benefits from trade.

Risk management opportunities in auto insurance: A focus on the value of vehicles

AbstractRatemaking and risk‐based pricing revolve around the value at risk, involving a tendency of higher values implying higher premiums. Traditionally, vehicle values are set at “list price” and depreciate over time on a one‐size‐fits‐all factor model. If values change over time, so should premiums, but a single factor table that only goes downward to flat is out of sorts with today. In today's transactional data streams, vehicle features, and values can be easily observed—of note, a shift in product mix that has more options and higher retained values creates a gap in actual versus traditionally expected insurance values. This gap most acutely appears at the vehicle “as built” level, which is more granular than current segmentation levels of insurance ratemaking vehicle valuation analysis. The result is leaving companies to simply raise base rates universally until they can adapt more flexible price‐to‐value methods at an “as built” price accuracy sophistication level.

Does top managers' tenure matter to management accounting system design?

PurposeThis study aims to investigate the relationship between top manager tenure and the sophistication level of management accounting system (MAS) in extant literature.Design/methodology/approachCumulating evidence from 31 studies (N = 12,739), this study meta-analytically examines the central question of whether top managers' tenure is significantly associated with MAS sophistication after correcting individual studies for statistical artifacts. The study also assesses the strength of this association bniy exploring the influence of several moderating factors.FindingsThe findings show that long-tenured top managers are not significantly related to MAS sophistication. However, the moderator analtgcqyses indicate that the relationship between top manager tenure and MAS sophistication is moderated by tenure measurement type, firm sector and size. The study provides evidence for the significant moderation of tenure measurement type (i.e. position tenure). The results also argue that top manager tenure matters for MAS sophistication in small- and medium-sized enterprises (SMEs) and firms in the private sector.Originality/valueThe meta-analysis summarizes existing studies quantitatively to expand prior narrative reviews by providing definitive evidence of the overall effect of top manager tenure on MAS sophistication.

Dark side of blockchain technology adoption in SMEs: an Indian perspective

PurposeThe purpose of this paper is to understand the dark side of blockchain technology (BCT) adoption in small and mid-size enterprises. The focus of the authors is to decode the intricate relationship among the selected variables missing in the existing literature.Design/methodology/approachA focused group approach is initiated by the authors to identify the barriers. Total interpretive structural modeling, Matrice d'impacts croisés multiplication appliquée á un classment, that is, matrix multiplication applied to classification and decision-making trial and evaluation laboratory are used to analyze the complex relationships among identified barriers.FindingsThis study finds that implementation of BCT reduces maintenance cost by withdrawing manual effort, as BCT has better capability to quantify the internal status of the system (observability characteristic). The observability characteristic of BCT provides high compatibility to the system. This study also finds that the compatibility of BCT with the organization reduces implementation cost and facilitates project management. The findings of this study recommend analyzing maintenance cost and compatibility of BCT before implementing it. Small and mid-size enterprises can select complex BCT depending on the sophistication level of IT usage and IT project management capabilities.Research limitations/implicationsThis study comes with various limitations, where the model developed by the authors may not be conclusive, as it is based exclusively on expert opinion. The samples collected may not help in validating the model statistically. Though the model has its limitations, it can still be considered as a nascent initiative for further investigation using structural equation modeling.Originality/valueThe outcomes of the theoretical and managerial contributions of the study can be categorized into three levels. This study can be used both by the industrialists and researchers to understand the barriers and the recovery methods thereafter. Suggestions that serve as future directives are also discussed by the authors.

Unraveling Ambiguity Aversion

Abstract We report the results of two experiments designed to better understand the mechanisms driving decision-making under ambiguity. We elicit individual preferences over different sources of uncertainty, entailing different degrees of complexity, from subjects with different sophistication levels. We show that (1) ambiguity aversion is robust to sophistication, but the strong relationship previously reported between attitudes toward ambiguity and compound risk is not. (2) Ellsberg ambiguity attitude can be partly explained by attitudes toward complexity for less sophisticated subjects only. Overall, regardless of the subject's sophistication level, the main driver of Ellsberg ambiguity attitude is a specific treatment of unknown probabilities.

Artificial intelligence–enabled tools in cardiovascular medicine: A survey of current use, perceptions, and challenges

Numerous artificial intelligence (AI)-enabled tools for cardiovascular diseases have been published, with a high impact on public health. However, few have been adopted into, or have meaningfully affected, routine clinical care. To evaluate current awareness, perceptions, and clinical use of AI-enabled digital health tools for patients with cardiovascular disease, and challenges to adoption. This mixed-methods study included interviews with 12 cardiologists and 8 health information technology (IT) administrators, and a follow-on survey of 90 cardiologists and 30 IT administrators. We identified 5 major challenges: (1) limited knowledge, (2) insufficient usability, (3) cost constraints, (4) poor electronic health record interoperability, and (5) lack of trust. A minority of cardiologists were using AI tools; more were prepared to implement AI tools, but their sophistication level varied greatly. Most respondents believe in the potential of AI-enabled tools to improve care quality and efficiency, but they identified several fundamental barriers to wide-scale adoption.

A Cloud-Based AI Way to deal with Phishing URL Location

Abstract: Phishing is constantly growing to be one of the most adopted tools for conducting cyber-attacks. Recent statistics indicated that 97% of users could not recognize a sophisticated phishing email. With over 1.5 million new phishing websites being created every month, legacy black lists and rule-based filters can no longer mitigate the increasing risks and sophistication level of phishing. Phishing can deploy various malicious payloads that compromise the network’s security. In this context, machine learning can play a crucial role in adapting the capabilities of computer networks to recognize current and evolving phishing patterns. In this paper, we present PhishNot, a phishing URL detection system based on machine learning. Hence, our work uses a primarily ”learning from data” driven approach, validated with a representative scenario and dataset. The input features were reduced to 14 to assure the system’s practical applicability. Experiments showed that Random Forest presented the best performance with a very high accuracy of 97.5%. Furthermore, the design of our system also lends itself to being more adoptable in practice through a combination of high phishing detection rate and high speed (an average of 11.5 per URL) when deployed on the cloud

PhishNot: A Cloud-Based Machine-Learning Approach to Phishing URL Detection

Phishing is constantly growing to be one of the most adopted tools for conducting cyber-attacks. Recent statistics indicated that 97% of users could not recognize a sophisticated phishing email. With over 1.5 million new phishing websites being created every month, legacy black lists and rule-based filters can no longer mitigate the increasing risks and sophistication level of phishing. Phishing can deploy various malicious payloads that compromise the network’s security. In this context, machine learning can play a crucial role in adapting the capabilities of computer networks to recognize current and evolving phishing patterns. In this paper, we present PhishNot, a phishing URL detection system based on machine learning. Hence, our work uses a primarily ”learning from data” driven approach, validated with a representative scenario and dataset. The input features were reduced to 14 to assure the system’s practical applicability. Experiments showed that Random Forest presented the best performance with a very high accuracy of 97.5%. Furthermore, the design of our system also lends itself to being more adoptable in practice through a combination of high phishing detection rate and high speed (an average of 11.5μs per URL) when deployed on the cloud.

Global value chains and product sophistication in developing countries; the case of Indian manufacturing

ABSTRACT This paper examines whether linking into Global Value Chains (GVCs) can facilitate product upgrading in developing country firms, enabling them to climb up the value-chain ladder. The analysis is conducted using an unbalanced panel of Indian manufacturing firms in the period 2001–2015. Extensive data at the product-firm level is used to construct a sales-weighted average product sophistication level of Indian firms. To account for econometric issues of endogeneity and self-selection, the study employs the System GMM estimator and Propensity Score Matching (PSM). Findings indicate that linking into GVCs boosts the average product sophistication level of Indian firms by roughly 2 percent. Younger, more innovative, and more embedded GVC firms capture higher product sophistication gains from GVCs, while no significant impact is found for foreign investment. Results are robust to the use of different measurement techniques, model and lag specifications and methodologies. Findings suggest that designing trade policies in developing countries to increase GVC integration can enable product upgrading but there is a need to boost internal innovative capabilities to maximise gains from linking into GVCs. Further, the study raises important concerns regarding the future of export sophistication in India, demonstrating a shift in India’s GVC trade towards the Global South and its tendency to export less sophisticated goods to Southern partners.

State of use of Electronic Data Capture (EDC) tools in randomized controlled trials in India

ObjectivesElectronic data capture (EDC) tools can improve data quality gathered in clinical trials and may be more cost-effective. However, limited data is available on the adoption of EDC tools in randomized controlled trials (RCT) conducted in India. The objective of the current study was to determine the EDC adoption rate in RCTs in India. MethodsWe invited investigators of registered RCTs in India to an online survey. The questionnaire included questions on the use of EDC and features available. An EDC sophistication level (range 1 - 6) was computed. Respondents were also asked about barriers to the implementation of EDC. The EDC adoption rate (EAR) was defined as the proportion of clinical trials where EDC with a sophistication level of 2 or more was used. Multivariable logistic regression was used to identify factors that predicted EDC adoption. Results321 responses were received for 400 unique trials (participation rate of 21%), with an EAR of 27.5% (95% confidence intervals : 23.4% to 32.1%, n = 110). The number of sites influenced EDC adoption (odds ratio : 1.26, 95% CI : 1.12 - 1.47, p = 0.001) on multivariable analysis. EAR did not increase over time. The key barriers identified for not using an EDC were lack of technical support (170, 63.0%) and software cost (132, 48.9%). ConclusionsThe survey shows a low EAR in randomized trials registered in India. The barriers identified in the survey would need systematic solutions to improve the EAR in the future.

Do local and non-local retail investor attention impact stock returns differently?

In view of the different behavior of local and non-local individual investors, the impacts of local and non-local retail attention on stock returns should be separately investigated. However, the literature on this topic is surprisingly scarce. This paper investigates and compares the return predictability of local and non-local retail investor attention. We propose two direct measures, which consider the geographic information of retail attention, to quantify local and non-local retail attention. The empirical study shows that the impact of local retail attention is consistent with the information hypothesis, while that of the non-local retail attention is in line with the attention-induced price pressure hypothesis. We further explore how two relevant factors, media coverage and investor sophistication level, influence the predictive power of local and non-local attention. We find that the predictive power of non-local attention is stronger for the firms that attract more sophisticated non-local investors. In contrast, the predictive power of local attention is not affected by the sophistication level of local investors. As a major information acquisition mechanism, media plays a role in the return predictability of both non-local and local retail attention. Based on these findings, important practical implications for practitioners, regulators, and researchers are unveiled.

Aesthetic Preference for Nonredundant Complexity: Key to Creativity

The basic principle of all biological and social, and some physical processes is increase of interactive heterogeneity, which evolutionarily raises the sophistication level of intraspecific and interspecific systems. Primates, including humans, and other species of animals such as elephants, are known to create multicolor pictorial patterns on a canvas, holding a painting brush in a hand, or in the case of elephants, wrapping the long "nose" around a painting brush. Therefore the pattern creation has a long evolutionary history. Humans and monkeys branched off 6 or 7 million years ago. Humans and elephants much earlier. Another important consideration is the method of mate selection by females. Females prefer "minority" males. If Type A males and Type B males are mixed, females prefer "minority" males instead of "supernormal" males. The females' preference for "minority" males leads to intraspecific heterogenization, but if females preferred "supernormal" males, it would lead to intraspecific homogenization. There is heterogeneity of individual aesthetic preference types in terms of nonredundant vs. redundant complexity. Some examples of nonredundant complexity are: Picasso's Guernica, and Stravinsky's Le Sacre du Printemps. Aesthetic preferences are expressions of the individual's perceptual/cognitive/cogitative/action types (abbreviated as "mindscape types"). While individuals who prefer nonredundant complexity tend to be creative, those who like redundant complexity tend to be anti-creative. Furthermore, we must become aware that the individual types are not subcultural variations, but they exit across cultural, social, gender, and professional boundaries, and are therefore transgroup occurrences. The individual types also cut across boundaries between species, and are therefore transeidosic. This knowledge is useful in multicultural management. Awareness of transgroupness of individual mindscape types will reduce self-stereotyping and ingroup homogenization, and contribute to reduction of hostility, violence and terrorism between religious, political and ideological groups. In plain language, some persons in other groups are more similar to you than many people in your own group. Psychological tests are available.

A Corpus-based Analysis of High School English Textbooks and English University Entrance Exams in Turkey

This study aims to explore the missing link between English textbooks used in high schools (9th-12th grades) and English university entrance exams (2010-2019) in Turkey on lexical and syntactic complexity levels by using corpus linguistics tools: AntWordProfiler, TAALED, and the L2 Syntactic Complexity Analyzer (L2SCA). Official textbooks and complementary materials obtained from the Ministry of National Education have been compared against the official university entrance exams from the past decade. The results show that: (i) differences in lexical sophistication level can be observed between the two corpora, the lexical sophistication level of the exam corpus was higher than that of the textbook corpus, (ii) there is a statistically significant difference between the two corpora in terms of lexical diversity, the exam corpus has a significantly higher level of lexical diversity than the textbook corpus, (iii) statistically significant differences also existed between the two corpora regarding the syntactic complexity indices. The syntactic complexity level of the exam corpus was higher than that of the textbook corpus. The findings suggest that Turkish high school students who have to learn English with the official textbooks throughout their high school years will have to tackle low-frequency and more sophisticated words at a higher level of syntactic complexity at the time of taking the nationwide exam. This, in return, creates a negative backwash effect, distorts their approach to L2, and raises other concerns about the misalignment between the official language education materials and nationwide exams.

Designing Technologies to Support Parent-Child Relationships: A Review of Current Findings and Suggestions for Future Directions

Diverse fields, including CSCW, Communication, and Human Development studies, have investigated how technologies can better support parent-child relationships. While these studies are scattered across literature, little effort has been made to synthesize the findings. We conducted a review of studies that examined the factors associated with parent-child relationships that are mediated by technologies. Specifically, we synthesized previous studies based on children's age groups and different family contexts, including cohabitation. From a total of 12,942 search results from two databases, and 32 results from the hand-searching process, we conducted a full-text review of 190 articles and identified 19 suitable studies. An additional search during the revision cycle resulted in 6 more full-text reviews and 1 additional study being included in the data analysis. We analyzed challenges and facilitators in designing CSCW systems supporting parent-child relationships for families living together or apart and families with children of different developmental stages. Findings showed two common challenges, which should be addressed in technology designed to support parent-child relationships: discrepancies in expected communication between parents and child(ren) and the complex emotions of parents toward parenting caused by their busy schedules. Challenges specific to families who are living apart included consequences from being physically distant and having limited access to communication resources. The following factors commonly helped facilitate parent-child relationships: (1) reciprocity norms of the family (2) reinforcement of transparency, affection, and trust, (3) a physical proxy of each other through an object or interface design, (4) accessibility, the sophistication level of technology, and communication resources, (5) enjoyable, age-appropriate shared content among parents and children, and (6) situational awareness and routine as ways to increase parent-child relationships. Media richness and synchronicity in system design and privacy preservation without interruption facilitated parent-child relationships of families living apart. Based on the findings, we discuss opportunities for technological innovation for physically co-located families and the importance of considering children's age and developmental stages in designing technology for parent-child relationships.

Financial advice: Who Exactly Follows It?

Using data from about 290,000 household investment accounts, we provide a comprehensive analysis of the role of personal economic and demographic characteristics in determining the tendency to utilize financial advice. Our findings indicate that investors' sophistication level, captured using several proxies, is negatively correlated with the decision to follow the financial advice received. In addition, we find that individual differences such as age, gender and family status are strongly associated with the tendency to use the advice. The findings are robust under different distributions of the data. Finally, we also test how macroeconomic uncertainty affects the tendency to utilize financial advice. Our results demonstrate that higher levels of financial uncertainty are associated with less use of financial advice.

Analysis of Korea's Export Sophistication Level and Determinants by Industry

Analysis of Korea's Export Sophistication Level and Determinants by Industry

Aid for trade and export sophistication in recipient countries

ABSTRACT This study investigates the effects of Aid for Trade (AfT) on the sophistication level of recipient countries’ export baskets. The results indicate that total AfT inflows do not benefit the export sophistication. AfT for trade policy and regulations seems to be the only type of AfT that are found to be effective in low-income countries with a real GDP per capita of less than USD 3047.72 and the poorer the recipient country the greater the positive impact on export sophistication. In contrast, the effect of AfT for economic infrastructure seems to be increasing in per capita income. The positive and negative significant effects of AfT for economic infrastructure are observed for countries with real GDP per capita above USD 29,542.64 and below USD 2558.02, respectively. Otherwise, there are no significant impacts of these two categories on export sophistication. AfT dedicated to building productive capacity exerts a negative impact on the export sophistication at the sectoral level.