Search results

The purpose of this study is to help teachers resolve the difficulties in assessing the students' characters through the development of valid, reliable, goodness-of-fit statistic instrument of emotional and social intelligence assessment for elementary school students.

This study used a research and development model from Plomp with five phases, such as investigation, design, realization, testing and implementation. The research subjects were 345 students of class IV amongst 20 elementary schools in Yogyakarta. Data collection used questionnaires, documentation, interviews, Forum Group Discussion and an observation. Data analysis used descriptive analysis, Aiken's V, exploratory factor analysis and confirmatory factor analysis formulae.

The research study helps solve the difficulties of teachers in assessing emotional and social intelligence, which have previously been in only one area of psychomotor. The design of emotional and social intelligence assessment instruments is made from three domains of character, namely, cognitive, affective and psychomotor. The form of the instrument is non-test in three variations. The construct of social and emotional intelligence assessment for a character reinforcement has met the validity, reliability and goodness-of-fit statistic.

This study explains that the Emotional and Social Intelligence (ESI) model is applied for measuring cognitive, affective and psychomotor in children. This study proves that the ESI model is a comprehensive assessment model for evaluating the children's soft skills, includes (1) personal abilities: the ability to make rational decisions, the ability to design the future and (2) social skills: the ability to work together and the ability to understand other people.

Teachers can measure and determine the condition of children's soft skills by operating the ESI model. Based on the knowledge of the correct soft skill conditions, the teacher can adjust the teaching materials and teaching methods that would improve the child's soft skills regarding to their respective conditions. Mastering these soft skills will affect the children's capability in facing the challenge in the upcoming society's life.

The novelty of this study is the design model of the emotional and social intelligence assessment instrument developed comprehensively and practically as it is created from three domains of character and three forms of non-test questions, so that the assessment is not mechanical, and easily practiced by users.

This paper aims to explore how directors understand the “how” and “why” of their personal moral values in their task of governing the organisation.

This paper is based on a qualitative study. Data were gathered through semi-structured interviews of 33 New Zealand directors.

Three major themes emerged: Directors’ personal moral values are a powerful driver in ethical decision-making of directors; codes of ethics are seen to be effective to the extent that individuals have a strong moral compass; great value is placed on their personal moral code as being consistent with it, defines who they are.

This study reveals how and why directors’ personal ethics are important in their task of governance and demonstrates that they are extremely influential in their ethical decision-making.

Appraisal processes could also make sure this factor is given equal importance along with other skills and competencies. In the area of director selection, proven moral integrity could become a point to investigate prior to the appointment of a director.

There have been very few studies investigating the subjective ethical experience in ethical decision-making. Investigating the antecedents of ethical or unethical outcomes only provides a partial understanding of the ethical experience.

Quality and business excellence awards that recognize excellent organizational performance have become a major driving force in enhancing the competitiveness of Indian firms in the global economy. While the frameworks underlying these awards have been used extensively by organizations, little empirical evidence exists regarding the validity of these frameworks as a predictor of building competitiveness. This paper aims to address this issue.

This study critically examines the framework of one of the leading awards of India by testing the relationship between stakeholder results and enabling practices using regression analysis, structural equation model and data envelopment analysis.

The results of the study reveal that the framework is used by the organizations to enhance firm level competitiveness but not as a tool to contribute to national competitiveness.

There is scope for further research to review the effectiveness and validity of this model by applying the model in selected organizations and to examine whether there is any significant improvement in results and practices over a period of time. The findings can also be compared with results and practices of those organizations not practising this model.

This study suggests a framework that not only helps an organization in positioning existing initiatives and identifying gaps in its journey of competitiveness but also links its enabling practices and planned results to the growth process of the country.

Global competitiveness serves as the starting‐point for instituting the Confederation of Indian Industry's (CII) theme of “Competitiveness of India Inc.” and initiating CII Institute of Quality's (IQ) task of developing a model of competitiveness that aspires to integrate the process of building competitiveness of an organization with that of a country. These two become the driving factors for forming a basis of the model of competitiveness that aims to build competitiveness at the organizational level contributing to competitiveness at the country level.

Traditionally, an armor-grade composite is based on a two-dimensional (2D) architecture of its fiber reinforcements. However, various experimental investigations have shown that armor-grade composites based on 2D-reinforcement architectures tend to display inferior through-the-thickness mechanical properties, compromising their ballistic performance. To overcome this problem, armor-grade composites based on three-dimensional (3D) fiber-reinforcement architectures have recently been investigated experimentally. The paper aims to discuss these issues.

In the present work, continuum-level material models are derived, parameterized and validated for armor-grade composite materials, having four (two 2D and two 3D) prototypical reinforcement architectures based on oriented ultra-high molecular-weight polyethylene fibers. To properly and accurately account for the effect of the reinforcement architecture, the appropriate unit cells (within which the constituent materials and their morphologies are represented explicitly) are constructed and subjected to a series of virtual mechanical tests (VMTs). The results obtained are used within a post-processing analysis to derive and parameterize the corresponding homogenized-material models. One of these models (specifically, the one for 0°/90° cross-collimated fiber architecture) was directly validated by comparing its predictions with the experimental counterparts. The other models are validated by examining their physical soundness and details of their predictions. Lastly, the models are integrated as user-material subroutines, and linked with a commercial finite-element package, in order to carry out a transient non-linear dynamics analysis of ballistic transverse impact of armor-grade composite-material panels with different reinforcement architectures.

The results obtained clearly revealed the role the reinforcement architecture plays in the overall ballistic limit of the armor panel, as well as in its structural and damage/failure response.

To the authors’ knowledge, the present work is the first reported attempt to assess, computationally, the utility and effectiveness of 3D fiber-reinforcement architectures for ballistic-impact applications.

In recent years, Chinese sentiment analysis has made great progress, but the characteristics of the language itself and downstream task requirements were not explored thoroughly. It is not practical to directly migrate achievements obtained in English sentiment analysis to the analysis of Chinese because of the huge difference between the two languages.

In view of the particularity of Chinese text and the requirement of sentiment analysis, a Chinese sentiment analysis model integrating multi-granularity semantic features is proposed in this paper. This model introduces the radical and part-of-speech features based on the character and word features, with the application of bidirectional long short-term memory, attention mechanism and recurrent convolutional neural network.

The comparative experiments showed that the F1 values of this model reaches 88.28 and 84.80 per cent on the man-made dataset and the NLPECC dataset, respectively. Meanwhile, an ablation experiment was conducted to verify the effectiveness of attention mechanism, part of speech, radical, character and word factors in Chinese sentiment analysis. The performance of the proposed model exceeds that of existing models to some extent.

The academic contribution of this paper is as follows: first, in view of the particularity of Chinese texts and the requirement of sentiment analysis, this paper focuses on solving the deficiency problem of Chinese sentiment analysis under the big data context. Second, this paper borrows ideas from multiple interdisciplinary frontier theories and methods, such as information science, linguistics and artificial intelligence, which makes it innovative and comprehensive. Finally, this paper deeply integrates multi-granularity semantic features such as character, word, radical and part of speech, which further complements the theoretical framework and method system of Chinese sentiment analysis.

Recent misconduct and highly questionable behavior has fostered considerable distrust, cynicism, and antagonism among the populace toward the leadership of virtually all social institutions. This paper aims to examine the impact of ethics training on business students values.

Focuses on the central question whether exposure to ethical dilemmas and discussions in the classroom setting will lead to new paradigms of leadership incorporating instrumental values.

The results support the contention that senior level students were influenced in their perceptions of the importance of instrumental values in comparison to freshmen. As hypothesized no difference was found between men and women in both the importance and reinforcement of the instrumental values examined. The results do not support the contention that increased emphasis on ethics in textbooks and courses has had a significant impact.

Directions for future training are considered in light of the findings.

Points to the conclusion that current models of business education are not helping to reinforce instrumental values.

A characteristic feature of economic development is the ever-changing structure of consumption patterns. Reducing the explanation of this phenomenon to changing prices, ultimately caused by changes in the availability of goods (or characteristics), would neglect a major force driving this change, namely, the variation of consumer wants and consumer knowledge. The present paper sketches an evolutionary framework for the analysis of consumer behaviour that takes account of these features.

For this purpose, Carl Menger's theory of goods is taken as starting point. Whereas economists after the ‘marginal revolution’ were almost exclusively concerned with the determinants of exchange value and developing price theory, Menger puts as much emphasis on user value as on exchange value. Focusing on how user value changes establishes a connection between Menger's 19th-century theory of goods and 20th-century learning theories. The problem of how to get from individual learning processes to aggregate consumption patterns is approached by recollecting the genetic underpinnings of human learning and its dependence on certain physical and social conditions. Taking into account that these conditions are also dynamic, we are able to interpret collective learning processes as historical events, which renders them useable for the analysis of economic change.

The object of this research is the reconstruction of the existing legal response by European Union states to the phenomenon of immigration. It seeks to analyse the process of conferral of protection.

One main dimension is selected and discussed: the case law of the national courts. The study focuses on the legal status of immigrants resulting from the intervention of these national courts.

The research shows that although the courts have conferred an increasing protection on immigrants, this has not challenged the fundamental principle of the sovereignty of the states to decide, according to their discretionary prerogatives, which immigrants are allowed to enter and stay in their territories. Notwithstanding the differences in the general constitutional and legal structures, the research also shows that the courts of the three countries considered – France, Germany and Spain – have progressively moved towards converging solutions in protecting immigrants.

The research contributes to a better understanding of the different legal orders analysed.