1,462,222 research outputs found

    Does Information Technology Investment Influences Firm’s Market Value? The Case of Non-Publicly Traded Healthcare Firms

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    Managers make informed information technology investment decisions when they are able to quantify how IT contributes to firm performance. While financial accounting measures inform IT’s influence on retrospective firm performance, senior managers expect evidence of how IT influences prospective measures such as the firm’s market value. We examine the efficacy of IT’s influence on firm value combined with measures of financial performance for non-publicly traded (NPT) hospitals that lack conventional market-based measures. We gathered actual sale transactions for NPT hospitals in the United States to derive the q ratio, a measure of market value. Our findings indicate that the influence of IT investment on the firm is more pronounced and statistically significant on firm value than exclusively on the accounting performance measures. Specifically, we find that the impact of IT investment is not significant on return on assets (ROA) and operating income for the same set of hospitals. This research note contributes to research and practice by demonstrating that the overall impact of IT is better understood when accounting measures are complemented with the firm’s market value. Such market valuation is also critical in merger and acquisition decisions, an activity that is likely to accelerate in the healthcare industry. Our findings provide hospitals, as well as other NPT firms, with insights into the impact of IT investment and a pragmatic approach to demonstrating IT’s contribution to firm value

    The Influence of Learning Style and Motivation On Students' Learning Achievement in Entrepreneurship and Archives Science Courses in the Covid-19 Pandemic at Amik Lamappapoleonro Soppeng

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    In this research process, the researcher applied a quantitative approach to the type of ex post facto (correlational) research. The examination system is carried out at the Amik Lamappapoleonro Soppeng campus. Samples or research participants are students III. Semester Computer Management Amik Lampapoleonro Soppeng Study Program 2019/2020 academic year, totaling 50 students, the variables used in this study were learning styles (X1), achievement motivation (X2) and student performance in semester III of the Study Program Entrepreneurship and Archives course Management. Researchers used data collection techniques to measure a learning style variable and achievement motivation using a Likert Scale questionnaire measuring instrument and the documentation method was used to measure student achievement learning variables. In this study using data, namely descriptive analysis as a tool to measure the Mean, Median, Mode. The product and moment system uses a correlation analysis with a significant level of 5% as a measure for the hypothesis. From the results of testing that is influential. there is a significant and positive relationship (influence) in which student learning styles and student learning in Entrepreneurship and Archives courses with a contribution of 11.4 student learning styles. This means that the student style system in learning is very good will be directly proportional to student learning achievement. There is a significant and positive influence on student achievement motivation with learning achievement in the Informatics Management study program at the Amik Lamappapoleonro Soppeng campus in the Entrepreneurship and Archives course with a contribution of 14.2% to student achievement motivation, namely that if it is very good student achievement motivation so that learning achievement students would be great. In terms of research it has a significant influence between motivation and student achievement learning styles with student achievement learning in the Entrepreneurship and Archives course on the Amik Lamappapoleonro Soppeng campus with a linear regression equatio

    The Influence of Company Size and Capital Structure towards Liquidity, Corporate Performance and Firm Value, for Large and Small Group Companies

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    This research conducted based on a deep curiosity towards the issues of which among the key variables that will genuinelly influence a company profitability and the Firm Value. Clustering the companies by it’s asset size ie. Large and Small Groups, was offered as the novelty of this research. Statistical testing method employed is Generalized Structured Component Analysis (GSCA) to measure the influence of Company Size and Capital Structure towards Liquidity, Financial Performance and Firm Value and to prove the moderation between the two company size clusters. This research found that essentially there was a significant different characteristic between the two groups, regarding the influence of the endogenic variables towards exogenic variable. It is then considered as a new contribution to the academic world, that the influence of endogenic variables towards exogenic variables are not identical one to another, when there is different assets size involved. Keywords: Asset Size Grouping, Company Size, Capital Structure, Financial Performance, Liquidity, Firm Value, GSC

    HUBUNGAN MINAT BELAJAR TERHADAP KEMAMPUAN PENALARAN MATEMATIK SISWA SMP PADA MATERI LINGKARAN

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    This research aims to determine the relationship of student learning interest to the mathematical reasoning ability of junior high school students in chapter circle. Method used is quantitative with correlation method. this research was conducted in one of  junior high school in Cimahi with population of all students of  class IX and sample IX-M as many as 30 people. Instrumen used in this research is a questionnaire instrument to measure the level of student learning interest and test instrument to measure the ability mathematical reasoning of students. Analysis results visible there is a significant relationship between student learning interests with the ability of mathematical reasoning and contribution/ influence interest in learning on the ability of mathematical reasoning of junior high school students of class IX is positive is equal to 74,64% while the remaining 25,36% influenced by other factors

    Importance of the Inverted Control in Measuring Holistic Face Processing with the Composite Effect and Part-Whole Effect

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    Holistic coding for faces is shown in several illusions that demonstrate integration of the percept across the entire face. The illusions occur upright but, crucially, not inverted. Converting the illusions into experimental tasks that measure their strength - and thus index degree of holistic coding - is often considered straightforward yet in fact relies on a hidden assumption, namely that there is no contribution to the experimental measure from secondary cognitive factors. For the composite effect, a relevant secondary factor is size of the "spotlight" of visuospatial attention. The composite task assumes this spotlight can be easily restricted to the target half (e.g., top-half) of the compound face stimulus. Yet, if this assumption were not true then a large spotlight, in the absence of holistic perception, could produce a false composite effect, present even for inverted faces and contributing partially to the score for upright faces. We review evidence that various factors can influence spotlight size: race/culture (Asians often prefer a more global distribution of attention than Caucasians); sex (females can be more global); appearance of the join or gap between face halves; and location of the eyes, which typically attract attention. Results from five experiments then show inverted faces can sometimes produce large false composite effects, and imply that whether this happens or not depends on complex interactions between causal factors. We also report, for both identity and expression, that only top-half face targets (containing eyes) produce valid composite measures. A sixth experiment demonstrates an example of a false inverted part-whole effect, where encoding-specificity is the secondary cognitive factor. We conclude the inverted face control should be tested in all composite and part-whole studies, and an effect for upright faces should be interpreted as a pure measure of holistic processing only when the experimental design produces no effect inverted.Australian Research Council DP0984558 to Elinor McKone; Australian Research Council Centre of Excellence in Cognition and its Disorders (project number CE110001021); Kate Crookes salary supported by Hong Kong Research Grants Council grant (HKU744911) to William Hayward

    RESEARCH AND DEVELOPMENT EXPENDITURES AND QUALITY OF LIFE IN EUROPEAN UNION COUNTRIES

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    The improvement of people’s quality of life is currently considered as the main responsibility of every government. Due to the emergence of knowledge-based economy, it is commonly believed that investments in research and development (R&D) at a given level are a necessary condition for creating growth-based on innovations, thus supporting welfare in developed countries. In this context, the article is devoted to the analysis of influence of R&D expenditures on the quality of life in the European Union countries. As the main measure of the quality of life Human Development Index was utilized. Thus, the article can be considered as a contribution to the discussion on the potential of HDI index for measuring the quality of life in the case of narrow group of relatively developed countries. In the empirical part of the paper, panel data modeling fulfilling the postulates of dynamic estimation was used. The research was done for EU countries for the period 2004–2010. The empirical part takes into consideration the structural diversity between “old” and “new” members of the EU. First of all, the results can be treated as a voice confirming the usefulness of HDI as a measure of quality of life also from the perspective of narrow group of highly developed countries. Then, the research confirms the positive influence of R&D on European welfare only in the case of highly developed “old” member

    Reflections on the Impact of Creation Research, Practice-based Research, and Practice as Research, and How to Define and Maximize That Impact

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    In this contribution, I reflect on creation research/practice-based research/practice as research. I mostly explore the notion of the impact of such practices. I underline the fact that impact can mean various things depending on the type of projects: it can be emotional; it can be a way to influence; or it can act more subtly on the subconscious mind. But impact is always about the intention to induce change. I also discuss the difficulty, most of the time, to have a quantitative approach to impact, since it is often difficult to measure. I suggest, instead, to include a reflection on the planning of impact and its maximization before embarking on a project. I illustrate those points with various examples taken from my own practice

    Eksperimen Pembelajaran Matematika Dengan Strategi Relating, Experiencing, Applying, Cooperating And Transferring (REACT) Terhadap Hasil Belajar Ditinjau Dari Minat Belajar Pada Siswa Kelas VIII Semester Gasal SMP N 1 Wonosari Tahun 2015/2016

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    The result of mathematics learning is very important to measure the students’ competence towards the learning materials which has been discussed. Strategies are needed in order to improve the result of learning. The strategies are Relating, Experiencing, Applying, Cooperating, Transferring(REACT). Besides, the students’ interest also influence towards the learning result. The research is conducted to know : (1) the contribution of REACT strategy toward the result of mathematics learning, (2) the contribution of students’ interest towards the result of mathematics learning, (3) interaction between REACT strategy and students’ interest towards the result of mathematics learning. The research population is the students of VIII from SMP N 1 Wonosari in the year 2015/2016. There are two classes used as sampling which each consists of 31 students. Class VIIIC as the experimental class using REACT strategy and class VIIIA as the control using expository strategy. The technique of sampling is random sampling. The technique of collecting data are test, inquiry, and documentation. The technique of analizing data by two ways variance analysis i.e. different cells. The research result at = 0,05shows that: (1) there is contribution REACT strategy towards the result of mathematics learning i.e. Fobs = 8,670917543 > F = 4,01; (2) there is a contribution of students’ interest towards the result of mathematics learning i.e.Fobs = 5,191398373 > F = 3,16; (3) there is aninteraction between REACT strategy and students’ interest towards the result of mathematics learning i.e.Fobs = 4,343721811 > F = 3,16

    CIVIL SOCIETY ORGANIZATIONS INFLUENCE ON THE DEVELOPMENT STRATEGIES FORMULATION PROCESS AT THE MUNICIPAL LEVEL

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    This research is aimed at analyzing the rate and mode of Citizens Society Organizations’ (CSO) participation in the process of development strategies formulation in the Central Bosnia Canton (CBC), as well as to measure their impact on the actual substance of development strategies. To get a deeper insight into research topics, a questionnaire was developed and sent out to more than 300 CSOs from the CBC, yielding 117 valid responses. The research results show that 39.2% of the surveyed CSOs participated in the development strategies formulation process in the CBC, where the most common mode of participation was public consultations and debates. The research also revealed that the more proficient CSOs’ contribution to the process is, the greater influence on the development strategy substance they have. The main implication of this research is better understanding of the development strategies formulation process at the municipal level, and a deeper insight into the nature of relationships between municipalities and CSOs in regard to that process

    Impact of Manufactured Exports on Economic Growth in ASEAN

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    Economic growth is an essential factor to measure how prosperous the economy of a country is. Therefore, each country will always try to increase their economic growth and put it as its economic target. This research aimed to find out the factors that influence the economic growth in ASEAN member countries during 2007–2016. The analysis method used was Generalized Least Square (GLS) method and Fixed Effect Estimation model. The data used were the panel data of seven ASEAN countries. The result showed that Manufacturing Export, Foreign Direct Investment (FDI), Government Expenditure, and Population had a positive and significant effect on economic growth although the contribution of manufacturing export is just at a small magnitude
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