Research Reputation Research Articles

Moderating Effect of Teaching Etiquette on Intercultural Sensitivity and Work Fulfillment of Teachers in Maa District, Davao City

The current study was set to evaluate whether teaching etiquette significantly moderate the relationship between intercultural sensitivity and work fulfillment of teachers. In this study, the researcher selected the 200 public elementary school teachers in Maa District, Davao City as the respondents of the study. Stratified random sampling technique was utilized in the selection of the respondents. Non-experimental quantitative research design using descriptive-correlational method was employed. The data collected were subjected on the following statistical tools: Mean, Pearson Moment Product Correlation, and Hierarchical Regression Analysis. Descriptive analysis showed that teaching etiquette and work fulfillment were described as extensive, while, intercultural sensitivity of teachers was rated as moderately extensive. Further, correlation analysis demonstrated that there is significant relationship among intercultural sensitivity, work fulfillment, and teaching etiquette of teachers in Davao Central District, Davao City. Evidently, hierarchical regression analysis proved that professional etiquette significantly moderates the interaction between intercultural sensitivity and work fulfillment of teachers in Maa District, Davao City. In other words, teaching etiquette is a significant moderator on the intercultural sensitivity and work fulfillment of teachers since it strengthens its relationship. The study, therefore, conducted for further utilization of findings through publication in reputable research journal.

The Development ofanAssessment Tool forSuccessful Product Development Based On DFMA andAHP Approach: Automotive Industry Case Study

Successful product development is critical in the automotive industry, offering benefits such as optimisedmanufacturing, reduced costs, and faster market entry. Despite available tools, the complexity of design resources makes the process challenging. This study aimed to develop an assessment tool for evaluating successful product design in the automotive sector, starting with identifying success criteria from reputable research. Expert Choice software was employed to analysethe significance and weightage of the identified criteria. As a result, there are 19 criteria were prioritisedacross four key categories. The requirements such as product design, cost-effectiveness, safety, and environment. Notably, the most crucial criteria identified were recyclable materials (0.139), end-of-lifecycle considerations (0.118), and sustainable manufacturing (0.108984), while the least important were standardisation(0.0155), cabin ergonomics (0.022), and fire safety (0.0158). The resulting assessment tool, validated by four industry and academic experts, showed promise in helping practitioners self-evaluate successful product design within the automotive industry.

The Effect of Self-Citation on Scholarly Recognition and Visibility

Self-citation, an important aspect of academic work [1], requires careful oversight to protect the integrity and perception of scholarly contributions. Although self-referencing is often necessary for expanding upon past research, an excessive amount can negatively affect a researcher's reputation and rankings in academic indices. Indices/Lists like the Highly Cited Researcher (HCR) [2] index by Clarivate Analytics often adjust or exclude metrics associated with high self-citation rates to provide a more accurate representation of a researcher's impact, thereby enhancing visibility and credibility. According to the authors of [3] [4], self-citation rates typically range from 7.38% in Economics & Business to 15.6% in Mathematics. The same authors in [3] recommend keeping self-citations below 10%, which aligns with the general agreement among academic institutions and researchers. Maintaining this limit helps in qualifying for prestigious rankings and awards, promoting fair competition in academia. There are several methods to verify the self-citation ratio, with two of the most popular ones being the use of the Scopus platform [5] and the Web of Science (WOS) portal by Clarivate [6]. Scopus and WOS do not directly display the self-citation rate, but they do offer both the total citation count and the count excluding self-citations. Additionally, these portals can generate a citation report for authors, providing details on the number of citations, h-index, citing articles (with an option to exclude self-citations), and a year-by-year breakdown of citation counts. To find the self-citation rate Scopus and WOS, subtract the number of citations excluding self-citations from the total citations, divide this result by the total number of citations, and then multiply by 100 to get the percentage. For instance, if the total citations are 12,526 and the citations excluding self-citations are 12,000, the difference of 526 self-citations divided by the total results in a rate of 4.199%. This percentage indicates how much self-citations add to the overall citation count, which is important for maintaining appropriate citation standards.

Job Security in Relation to Teaching Interactiveness among Elementary School Teachers in Langilan District, Davao Del Norte

Fundamentally, job security is a measure expected to improve the teaching interactiveness among public school teachers. In this study, the researcher selected the 201 elementary school teachers in Langilan District, Division of Davao del Norte as the respondents of the study. Stratified random sampling technique was utilized in the selection of the respondents. Non- experimental quantitative research design using descriptive-correlational method was employed. The data collected were subjected on the following statistical tools: Mean, Pearson Moment Product Correlation and multiple linear regression analysis. Findings revealed that job security among elementary school teachers was described as moderately extensive, while, teaching interactiveness among elementary school teachers in Langilan District in Davao del Norte were described as extensive. Further, correlation analysis demonstrated that there is a significant relationship between job security and teaching interactiveness among elementary school teachers in Langilan District in Davao del Norte. Evidently, regression analysis proved that job security in terms of salary and benefits were significant predictors of teaching interactiveness among elementary school teachers in Langilan District in Davao del Norte. The study, therefore, conducted for further utilization of findings through publication in reputable research journal.

Emerging Market Vaccine Manufacturers: Untapped Potential for Improving Health and Social Outcomes Globally

ABSTRACTThe suboptimal level of vaccine research and development globally contributes to millions of people losing their lives to vaccine‐preventable diseases each year, the vast majority of whom live in developing countries. Vaccine manufacturers based in developing countries are increasingly participating in vaccine research and development to improve the availability of these life‐saving vaccine products. To understand the extent to which these emerging market vaccine manufacturers can contribute to global vaccine research and development, and thus improve health and societal outcomes, we examined the capabilities, priorities, and strategies of these organizations. We identified that emerging market manufacturers often engage in partnerships and solicit external support to alleviate the technical and financial hurdles associated with the complexity and cost of vaccine development. Focusing on unmet medical needs facilitates emerging market manufacturers' access to partners and external support and is critical in establishing a reputation in the global vaccine research and development ecosystem.

Research Ethics: Ideas and Practices of Russian Young Scientists

Scientists’ misconduct in their research activities is an important problem for science in many countries, including Russia. It leads to negative consequences both for the quality of scientific knowledge obtained and for the reputation of researchers and scientific organizations. However, there is still a small number of empirical studies of this problem in Russia. This work is based on a survey method to explore the ideas of young scientists from all federal districts of Russia about research ethics and the situations of ethical dilemmas that they encounter in their work. In accordance with the chosen theoretical framework: ideas about ethics as an action that is situational by nature, determined by sustainable practices and patterns, the survey was conducted in two stages: an open question about situations of ethical choice in research activities, on the basis of which a detailed questionnaire was then created. As a result, it was revealed that the vast majority of young scientists are faced with situations of violation of ethical standards both in scientific publications and communications, and in the processes of organizing research work. Violations of research procedures, data manipulation, falsification of research results – this is a set of violations in the organization of research that almost three-quarters of respondents encountered themselves or heard about such situations from colleagues. However, there are gaps in consensus about the sources of knowledge about ethics and a lack of institutional practices to prevent violations such as the work of ethics committees or ethical standards.

Effective Classroom Strategies and Self-Regulated Learning Behavior among Learners in Davao Del Norte

Fundamentally, effective classroom strategies are a measure expected to improve self-regulated learning behavior among learners in Braulio E. Dujali District, Davao del Norte. In this study, the researcher selected 185 elementary school teachers as the respondents of the study. Stratified random sampling technique was utilized in the selection of the respondents. Non-experimental quantitative research design using descriptive-correlational method was employed. The data collected were subjected to the following statistical tools: Mean, Pearson Moment Product Correlation and multiple linear regression analysis. Findings revealed that effective classroom strategies and self-regulated learning behavior among learners in Braulio E. Dujali District, Davao del Norte were described as extensive. Further, correlation analysis demonstrated that there is a significant relationship between effective classroom strategies and self-regulated learning behavior among learners in Braulio E. Dujali District, Davao del Norte. Evidently, regression analysis proved that effective classroom strategies in terms of behavioral strategies were a significant predictor of self-regulated learning behavior among learners in Braulio E. Dujali District, Davao del Norte. In other words, effective classroom strategies have an influence on the process in self-regulated learning behavior among learners in Braulio E. Dujali District, Davao del Norte. The study, therefore, was conducted for further utilization of findings through publication in reputable research journal.

Instructional Space Management Skills and Learning Autonomy among TECH-VOC Students in Carmen District, Davao Del Norte

In this study, instructional space management skills is a measure expected to improve the learning autonomy of the tech-voc students. In this study, the researcher selected the 150 junior high school students in Carmen District, Davao del Norte as the respondents of the study. Findings revealed that teachers’ instructional space management skills was rated as extensive, while, learning autonomy of the tech-voc students in Carmen District in Davao del Norte was described as moderately extensive. Further, correlation analysis demonstrated that there is a significant relationship between teachers’ instructional space management skills and learning autonomy of the tech-voc students in Carmen District in Davao del Norte. Evidently, regression analysis proved that instructional space management skills in terms of engaging and interactive learning; growth mindset; and inclusivity and diversity were significant predictors of learning autonomy of the tech-voc students in Carmen District in Davao del Norte. The study, therefore, conducted for further utilization of findings through publication in reputable research journal.

LEARNER-ORIENTED INSTRUCTION AND DATA INTERPRETATION SKILLS OF STUDENTS IN MANAY SOUTH DISTRICT, DAVAO ORIENTAL

The study aimed to investigate the influence of learner-oriented instruction of teachers on the data interpretation skills of students. In this study, the researcher selected the 212 elementary school teachers in Manay South District in Davao Oriental as the respondents of the study. Stratified random sampling technique was utilized in the selection of the respondents. Non-experimental quantitative research design using descriptive-correlational method was employed. The data collected were subjected on the following statistical tools: Mean, Pearson Moment Product Correlation and Linear Regression Analysis. Findings revealed that learner-oriented instruction of teachers and data interpretation skills of students in Manay South District in Davao Oriental were described as moderately extensive. Further, correlation analysis demonstrated that there is a significant relationship between learner-oriented instruction of teachers and data interpretation skills of students in Manay South District in Davao Oriental. Evidently, regression analysis proved that learner-oriented instruction of teachers in terms of learner empowerment; self-directed learning; and active learning engagement significantly influenced the data interpretation skills of students in Manay South District in Davao Oriental. The study, therefore, conducted for further utilization of findings through publication in reputable research journal. KEYWORDS: Educational management, learner-oriented instruction of teachers, data interpretation skills of students, regression analysis, quantitative study

Driving Performance Excellence: Insights from Retail Sector on Transformasional Leadership and Knowledge Sharing Behavior

This research delves into the pivotal role of Knowledge-sharing behavior and Transformational Leadership in enhancing employee performance within the retail sector. By investigating the relationships between these key factors, the study aims to provide valuable insights for optimizing workforce effectiveness and driving organizational success. The research methodology involves a quantitative approach, with data collected through surveys from 96 retail sector employees in Bandung. Instruments validated by reputable researchers were utilized to measure transformative leadership, Knowledge-sharing behavior, and employee performance. Data quality was assessed using outer loading, AVE, Composite Reliability, and Cronbach's Alpha, followed by analysis through Partial Least Squares. The findings are expected to shed light on how fostering a culture of knowledge exchange and implementing transformative leadership practices can positively impact employee performance in the retail industry. Ultimately, this research seeks to offer practical recommendations for retail organizations looking to enhance operational efficiency, employee engagement, and overall performance in a competitive market environment.

Mediating Effect of Technical Support on Human Capital Management and Teachers’ Eagerness for School Initiatives

The main purpose of this study is to evaluate whether technical support teachers have significant mediating effect on the relationship between human capital management and teachers’ eagerness for school initiatives. In this study, the researcher selected the 210 public elementary school teachers in Maa District, Davao City as the respondents of the study. Stratified random sampling technique was utilized in the selection of the respondents. Non-experimental quantitative research design using descriptive-correlational method was employed. The data collected were subjected on the following statistical tools: Mean, Partial Correlation, and Multiple Regression Analysis. Descriptive analysis showed that human capital management, teachers’ eagerness for school initiatives, and technical support in Maa District, Davao City were described as moderately extensive. Further, correlation analysis demonstrated that there is significant relationship among human capital management, teachers’ eagerness for school initiatives, and technical support in Maa District, Davao City. Evidently, Multiple Regression Analysis proved that technical support have significant mediating effect on the relationship between human capital management and teachers’ eagerness for school initiatives in Maa District, Davao City. The study, therefore, was conducted for further utilization of findings through publication in reputable research journal.

EMPOWERING THROUGH AWARDS AND RECOGNITION: STRENGTHENING TEACHERS’ MORALE

The study unfolded the experiences of the school heads in award and recognition approach for teachers. This study employed a phenomenological research design which aims to determine the experiences and perceptions of the eight (8) participants. The generated themes on the positive experiences of teachers were improved work and creation of school-community Collaboration. On the other hand, the themes under negative experiences were the feeling of being left out, the sense of distrust and envy, and increased stress levels. Meanwhile, in the coping mechanisms of school heads in awards and recognition approach for the teachers, three subthemes were generated which were re-defining school cultures, providing appropriate motivation, and enacting different roles. Lastly, for the insights drawn from the experiences of the school heads three subthemes were also generated which were instituting a positive culture, creating trusting relationships, and provide adaptive leadership. These implied that school heads can provide effective support to teachers when utilizing a collaborative and coordinated strategy to facilitate improvement in teacher performance. Moreover, the results generated provided comprehensive data in conducting future research with similar scope. This study may be published in reputable research journal. KEYWORDS: Experiences, awards, recognition, approach, Tagum City

Doxa in international research collaboration: a critical collaborative autoethnographic account

ABSTRACT Funders are increasingly requiring international collaboration for research projects and such projects add to the reputation, rankings and research gravitas of institutions and individual researchers alike. The power asymmetries in global knowledge production means that international research collaboration comes with a range of taken-for-granted and unquestioned rules and rituals. These have become naturalized in international research collaboration and shape researcher identity, development and career progression. In this paper, we operationalize the term ‘doxa’ as a methodological tool through a critical collaborative autoethnography to examine how researchers negotiate the opportunities, tensions, and power struggles emerging from their varying possession of symbolic capital and (dis)positions in a globalized research landscape. In doing so, the paper considers how global power structures play out in individuals’ lives and identities, and suggest that international research collaboration contributes to the reproduction of inequalities in the highly competitive and unequal field of academic research.

РАЗВИТИЕ СЕРВИСОВ ОБСЛУЖИВАНИЯ ПАССАЖИРСКИХ АВИАПЕРЕВОЗОК С ИСПОЛЬЗОВАНИЕМ ЦИФРОВЫХ ЭКОСИСТЕМ

Currently, digital ecosystems are being introduced into various spheres of human activity. One of the key tasks of companies is to find ways to develop their own digital service systems. Based on the theoretical analysis carried out using reputable research methods, a possible path of development was formulated. Using the example of aviation passenger transportation, an economic assessment of the feasibility of implementing a digital ecosystem is presented. Based on the analysis of the conducted representative survey, it was shown that passengers have a need to use the services of the digital ecosystem during the flight directly on board the aircraft.

Framework for scoring the scientific reputation of researchers

In the scientific community, there is no single, objective, and precise metric for ranking the work of researchers based on their scientific merit. Most existing metrics are based on the number of publications associated with an author along with the number of citations received by those publications. However, there is no standard metric officially used to evaluate the researchers’ careers. In this paper, the Framework for Reputation Estimation of Scientific Authors (FRESA) to address this issue is depicted. It is a system able to estimate the reputation of a researcher focusing on the achieved publications. It calculates two indexes making use of the relevance and the novelty concepts in the scientific domain. The system can depict the scientific trajectories of the researchers through the proposed indexes to illustrate their evolution over time. FRESA uses web information sources and applies similarity measures, text mining techniques, and clustering algorithms to also rank and group the researchers. The presented work is experimental, rendering promising results.

Assessing the evolution of banking reputation literature: a bibliometric analysis

PurposeThe concept of banking reputation has gained significant attention due to its relevance in the banking industry. A strong reputation has become crucial for a bank’s success, as it affects trust, credibility and stakeholders' perceptions. However, understanding and managing reputation in the banking sector involves several challenges. This study aims to analyze the field of banking reputation research through bibliometric analysis.Design/methodology/approachIt explores the evolution of research in this area, identifies key journals, articles and authors, examines the main research streams, and identifies research fronts and opportunities for future advancement.FindingsThe findings reveal that banking reputation research has evolved over time, with multiple perspectives and viewpoints. Key journals and authors in the field are identified, and leading research streams are highlighted. The study also uncovers the conceptual and intellectual structure of the research domain, providing insights into the complex and multidimensional nature of banking reputation. Furthermore, the study emphasizes the importance of corporate social responsibility, sustainability practices and gender diversity in shaping a bank’s reputation. These factors play a significant role in attracting and retaining customers, accessing financial markets and securing funding.Research limitations/implicationsThe results contribute to the existing body of knowledge and provide researchers and practitioners with valuable insights for further exploration.Originality/valueThe paper concludes by outlining potential avenues for future research in the field of banking reputation.

Sentiment analysis based on long short-term memory model

An important area of natural language processing is text emotion analysis. Emotion analysis is a very meaningful research work and has a broad application prospect, such as social media monitoring, reputation research of commodity brands, market research, and so on. By analyzing the time and content factors of the data, considering the final application scenario, and finally comparing the advantages and disadvantages of the methods, There are three main techniques for analyzing emotions in text: emotion analysis using an emotion dictionary, emotion analysis using machine learning, and emotion analysis using deep learning. Among them, Convolutional neural networks (CNN), recurrent neural networks (RNN), and long short-term memory networks (LSTM) are examples of deep learning-based techniques. For processing temporal relate issues such as video, speech, and text, CNN algorithms often consume a large amount of computational time, especially for processing image datasets, which may encounter specific problems. To address this issue, RNN is more suitable for solving temporal related issues such as video, voice, and text. In natural language, word order is an extremely important feature. RNN may potentially process sequences of any length, add memory units based on the original neural network, handle pre- and post-word dependencies, and process sequences of any length. The main work is as follows: LSTM adds or deletes unit states through a structure called gate, Determine the experimental thinking of text analysis, Crawl and train data sets through AI Studio, pycharm and other tools.

Funding Learning Health System Research: Challenges and Strategies.

A growing number of health systems are establishing learning health system (LHS) programs, where research focuses on rapidly improving the health system's internal operations and performance. The authors examine funding challenges facing such initiatives and identify strategies for managing tensions between reliance on external research funding and directly contributing to improvement and learning within the researchers' own system. Qualitative case studies of LHS research programs in 5 health systems were performed via 38 semistructured interviews (October 2019-April 2021) with 35 diverse respondents. Inductive and deductive rapid qualitative analysis supported interview, system-level, and cross-system summaries and analysis. External funding awards to LHS researchers facilitated some internal improvement and learning, scientific advancements, and the reputation of researchers and their systems, but reliance on external funding also challenged researchers' responsiveness to concerns of system leaders, managers, practitioners, and system needs. Gaps between external funding requirements and internally focused projects arose in objectives, practical applicability, audiences, timetables, routines, skill sets, and researchers' careers. To contribute more directly to system improvement, LHS researchers needed to collaborate with clinicians and other nonresearchers and pivot between long research studies and shorter, dynamic improvement, evaluation, and data analysis projects. With support from system executives, LHS program leaders employed several strategies to enhance researchers' internal contributions. They aligned funded-research topics with long-term system needs, obtained internal funding for implementing and sustaining practice change, and diversified funding sources. To foster LHS research contributions to internal system learning and improvement, LHS program leaders need to manage tensions between concentrating on externally funded research and fulfilling their mission of providing research-based services to their own system. Health system executives can support LHS programs by setting clear goals for them; appropriately staffing, budgeting, and incentivizing LHS researchers; and developing supportive, system-wide teamwork, skill development programs, and data infrastructures.

Artificial Intelligence and Machine Learning: A Review of State-of- the-Art Trends, Global Developments, and Practical Implications

This paper presents a comprehensive review of the latest trends, global developments, and practical implications in the field of Artificial Intelligence (AI) and Machine Learning (ML). The introduction highlights the transformative impact of AI and ML across various sectors, including healthcare, finance, transportation, manufacturing, retail, and entertainment. The purpose of the scientific research is to analyze the scientific, knowledge, and practical significance of AI and ML developments, emphasizing their potential impact on diverse domains. The study encompasses three main parts: state-ofthe- art trends, global developments, and practical implications. The scientific and practical importance of this paper lies in its examination of the growth and transformative potential of AI and ML technologies. The research methodology involves a comprehensive literature review, covering academic journals, conference proceedings, and reputable research papers and reports, to provide valuable insights and advancements in the field. The key findings of the paper revolve around significant trends in AI and ML, such as the increasing adoption of deep learning techniques and the integration of AI with big data analytics. Additionally, the study highlights global developments in AI research and investments from countries like the United States, China, Canada, Japan, South Korea, and the European Union. Practical implications include improved disease diagnosis and personalized treatment plans in healthcare, enhanced fraud detection and risk assessment in finance, and the use of AI-powered virtual assistants in customer service interactions. The research brings practical relevance to industries and policymakers, demonstrating the transformative potential of AI and ML in reshaping sectors and improving various aspects of human life. The paper concludes with recommendations for establishing robust frameworks to govern the responsible development and deployment of AI and ML systems, ensuring their long-term viability and beneficial impact on society.

Consumer-brand heuristics in luxury hotel reviews

PurposeThis paper aims to evaluate and structure the basic heuristics consumers use in evaluating word-of-mouth (WOM) about luxury hotel brands while analyzing the impact of deception in online consumer reviews.Design/methodology/approachThe research used a two-study mixed-methods approach, using interpersonal deception theory and social proof theory as lenses to conduct our analysis. For the first study, a qualitative conceptual mapping analysis was conducted, examining online consumer reviews to identify key concepts and their relationships in the context of luxury hotel brands. In the second study, the themes were further examined using a fuzzy-set qualitative comparative analysis to analyze their causal complexity and association between variables to determine how they influence the perceived helpfulness of online reviews for luxury hotel brands.FindingsThe results underline the importance of functional, objective variables, such as the number of reviews and stars, as social proof heuristics and other factors, including clout, authenticity and analytic tone, as interpersonal communication heuristics. Therefore, consumers use a combination of social and interpersonal communication heuristics to extract information from reviews and manage deception risk.Research limitations/implicationsThe paper contributes to the consumer–brand relationship literature by assessing the heuristics consumers use in evaluating online reviews and provides additional information for research in online reputation management.Practical implicationsThis study’s results can help marketing practitioners and brand managers manage their online reputations better. It can also aid managers in improving their messaging on hotel websites to entice consumers to complete bookings. Heuristics play an essential role in such messaging and understanding them can help marketers appeal directly to their target market.Originality/valueThis study contributes to the literature on consumer–brand relationships by providing a framework of heuristics that consumers use when evaluating luxury service brands and contributes to WOM and online reputation research by highlighting factors that may make online reviews more helpful.