four component model
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2021 ◽  
Vol 5 (4) ◽  
pp. 7-22
Author(s):  
Ilya Bykov ◽  
M. Medvedeva

The article analyses the role and importance of media literacy for political communication in Russia using the example of student life. The purpose of this article is to develop and test a new model of political communication with an emphasis on media literacy as a factor in the dissemination of political information in society. This approach opens up new perspectives for the study of political communication by the public. The authors have developed a four-component model of political communication, which includes the following components: socio-demographic data, media literacy, media effects and political behavior. This model was tested in an online survey on student media literacy in Russia and its impact on political communication (N = 632). The article also uses data from open sources and databases. Using the Chi-square test, it was found that media literacy, as a factor in political communication, plays a more important role than socio-demographic characteristics. In other words, media literacy is much better at explaining media effects and political behavior than the socio-demographic profile of the respondents. This conclusion, of course, applies only to student youth in Russia and needs further empirical verification.


2021 ◽  
Author(s):  
Bethuel Masimane

Authentic leadership in the postmodern world is a necessary concept for organizations. It is a new kind of leadership grounded in the understandings and memories gained in human lives. Organizations need a leadership that is able to critique the shortcomings and myths that support the status quo. It is a leadership grounded in new anthropology and in understanding of the human condition as both feminine, masculine and multicultural, as embedded in nature. This paper reviews literature on the realities associated with authentic leadership in an attempt to answer the question of whether authenticity is significant in developing successful leadership practice. It also evaluates effects of authenticity to leadership practice today. For a better perspective of authentic leadership, a four-component model of authentic leadership consisting of self-awareness, balanced processing, internalized moral perspective and relational transparency is analyzed. The article analyzes the implications of the model to the leader today and identifies practical steps for developing authentic leaders. Authentic leaders help organizations to sustain competitive advantage. Extant literature focuses on studies with practical implications for authentic leadership. The paper generally conceptualizes authentic leadership and authenticity in leadership.


2021 ◽  
Author(s):  
Bethuel Masimane

Authentic leadership in the postmodern world is a necessary concept for organizations. It is a new kind of leadership grounded in the understandings and memories gained in human lives. Organizations need a leadership that is able to critique the shortcomings and myths that support the status quo. It is a leadership grounded in new anthropology and in understanding of the human condition as both feminine, masculine and multicultural, as embedded in nature. This paper reviews literature on the realities associated with authentic leadership in an attempt to answer the question of whether authenticity is significant in developing successful leadership practice. It also evaluates effects of authenticity to leadership practice today. For a better perspective of authentic leadership, a four-component model of authentic leadership consisting of self-awareness, balanced processing, internalized moral perspective and relational transparency is analyzed. The article analyzes the implications of the model to the leader today and identifies practical steps for developing authentic leaders. Authentic leaders help organizations to sustain competitive advantage. Extant literature focuses on studies with practical implications for authentic leadership. The paper generally conceptualizes authentic leadership and authenticity in leadership.


2021 ◽  
Vol 13 (3) ◽  
pp. 15-24
Author(s):  
Lukáš Čechura ◽  
◽  
Zdenka Žáková Kroupová ◽  
Vladimír Kostlivý ◽  
Michaela Lekešová ◽  
...  

The paper deals with the sources of competitiveness of Czech cereal production by considering precision farming technology and employing micro-level data collected in the FADN database for the period 2005–2018. The analysis is based on the stochastic frontier modelling of an input distance function in the specification of the four-component model, which currently represents the most advanced approach to technical efficiency analysis. To provide a robust estimate of the model, the paper employs methods which control for the potential endogeneity of netputs in the four-step estimation procedure. Furthermore, the total factor productivity change is calculated using the Törnqvist-Theil index. The results reveal that Czech cereal producers took great advantage of their production possibilities and experienced technological progress, which contributed considerably to productivity dynamics and consequently to an increase in their competitiveness. Precision farming, which is associated with a large number of innovations reflected in technological change and optimal resource use, contributed to higher technical efficiency connected with cost savings in Czech cereal production.


2021 ◽  
Vol 6 ◽  
Author(s):  
Tore van der Leij ◽  
Lucy Avraamidou ◽  
Arjen Wals ◽  
Martin Goedhart

Framed within the Four Component Model (FCM) of morality, this case study investigates the nature of Dutch 15–16 years old biology students’ morality in socioscientific issues in the human-nature context. In doing so, we discuss the morality of 12 students with data collected through individual semi-structured interviews following the implementation of a specially-designed curriculum. During the interviews the students discussed a moral dilemma related to the rehabilitation of seals. The findings indicate that students demonstrated aspects of all four FCM components. The students placed themselves in the perspectives of involved stakeholders, both affectively and cognitively. In addition, the students exhibited both rationality-based and emotion-based moral reasoning. A number of students experienced an “inner conflict” between cognitive and emotional reasoning, which affected their moral motivation and–as such–represented their moral reflection process. Students’ moral emotions were often decisive in their moral decision-making. Among the different kinds of moral emotions (compassion, guilt, duty, respect), compassion appeared most. The findings are discussed alongside implications for future research with a focus on encouraging aspects of students’ morality, which are an important part of citizenship skills.


2021 ◽  
Vol 12 ◽  
Author(s):  
Tingxuan Li

In a computer-based writing assessment, massive keystroke log data can provide real-time information on students’ writing behaviors during text production. This research aims to quantify the writing process from a cognitive standpoint. The hope is that the quantification may contribute to establish a writing profile for each student to represent a student’s learning status. Such profiles may contain richer information to influence the ongoing and future writing instruction. Educational Testing Service (ETS) administered the assessment and collected a large sample of student essays. The sample used in this study contains nearly 1,000 essays collected across 24 schools in 18 U.S. states. Using a mixture of lognormal models, the main findings show that the estimated parameters on pause data are meaningful and interpretable with low-to-high cognitive processes. These findings are also consistent across two writing genres. Moreover, the mixture model captures aspects of the writing process not examined otherwise: (1) for some students, the model comparison criterion favored the three-component model, whereas for other students, the criterion favored the four-component model; and (2) students with low human scores have a wide range of values on the mixing proportion parameter, whereas students with higher scores do not possess this pattern.


2021 ◽  
Vol 36 (4) ◽  
pp. 647-647
Author(s):  
Eagle SR ◽  
Kissinger-Knox AM ◽  
Womble M ◽  
Elbin RJ ◽  
Feder A Kegel N ◽  
...  

Abstract Objective To evaluate the role of time since injury on the factor structure of the Post-Concussion Symptom Scale (PCSS) for athletes after sustaining a sport-related concussion (SRC). Methods Adolescent athletes (n = 782) were dichotomized based on time since injury: 0–7 (EARLY; n = 321, age: 15.4 ± 1.9 years, 51.7% female), 8–14 (MIDDLE; n = 281, age: 15.8 ± 2.2 years, 54.8% female) and 15–30 days (LATE; n = 180, age: 15.6 ± 1.8 years, 52.8% female). An EFA was performed on the 22 variables of the PCSS for each of the three cohorts (primary factor loading of 0.6 to retain each item). Results EARLY had a five-component model (64% of total variance): 1) GLOBAL (18.0%; headache/dizziness/photosensitivity/phonosensitivity/difficulty concentrating), 2) FATIGUE/HYPERSOMNIA (16.4%; fatigue/drowsiness/mental fogginess/slowed down/hypersomnia), 3) AFFECTIVE (12.6%; more emotional/sadness), 4) INSOMNIA (9.0%; insomnia/trouble falling asleep), 5) SOMATIC (8.0%; vomiting/numbness). MIDDLE had a four-component model (63.1% of variance): 1) GLOBAL (19.4%; photosensitivity/headache/phonosensitivity/nausea/dizziness), 2) INSOMNIA/AFFECTIVE (14.4%; insomnia/more emotional/nervousness/trouble falling asleep), 3) SOMATIC/MEMORY (12.2%; difficulty remembering/numbness), and 4) HYPERSOMNIA (12.0%; drowsiness/hypersomnia). LATE had a four-component model (65.7% of variance): 1) VESTIBULAR/OCULAR (18.2%; vision/difficulty remembering/balance/fogginess/dizziness), 2) MIGRAINE (16.6%; photosensitivity/phonosensitivity/fatigue/headache), 3) AFFECTIVE (16.1%; sadness/nervousness/more emotional), and 4) INSOMNIA (7.6%; insomnia/trouble falling asleep). Conclusions The results of this study suggest greater time since injury modifies symptom factor structure in adolescent athletes with SRC. Specifically, symptom factors become more distinct with longer time since injury before first clinical visit. A GLOBAL symptom factor was observed for both EARLY and MIDDLE, but not in LATE. SOMATIC (i.e., numbness) was observed in EARLY/MIDDLE, but not LATE. Symptom factors in LATE seem to mirror concussion clinical sub-types from previous research (e.g., vestibular/ocular, migraine, affective, sleep).


SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402110000 ◽  
Author(s):  
A. Reeves ◽  
P. Delfabbro ◽  
D. Calic

Cybersecurity fatigue is a form of work disengagement specific to cybersecurity. It manifests as a weariness or aversion to cybersecurity-related workplace behaviors or advice and occurs as a result of prior overexposure to cybersecurity-related work demands or training. While some previous theoretical conceptualizations of cybersecurity fatigue are available, this article is the first to capture all dimensions of the phenomenon in a four-component model. The model holds that cybersecurity fatigue can result from overexposure to workplace cybersecurity advice (e.g., training) or cybersecurity actions (e.g., forced password updates). Similarly, we argue that there can be two types of cybersecurity fatigue: attitudinal (e.g., a belief that cybersecurity is not important) and cognitive (e.g., habituated bad behaviors). We present a multidisciplinary review, which draws on research from management, psychology, and information systems. Practitioners can use the four-component model to identify the type of cybersecurity fatigue that may be occurring in employees and adapt workplace processes accordingly to improve behavior. In addition, we present three illustrative case studies, adapted from employee experiences, to demonstrate the application of the four-component model to an organizational context. The review presents a framework for coordinating the existing approaches to cybersecurity fatigue in the current literature.


2020 ◽  
Vol 23 (4) ◽  
pp. 39-54
Author(s):  
Gabriela Trnková ◽  
Zdeňka Žáková Kroupová

This paper deals with the estimation of technical efficiency of milk production in the EU, its decomposition and the analysis of determinants of transient and persistent efficiency. Attention was focused on specialized milk production using FADN data in the period from 2004 to 2017. The analysis is based on the four-component model that represents the most advanced approach to technical efficiency analysis at present and the multi-step estimation procedure extended by technical efficiency determinants. To the best of our knowledge, this is the first application of this model based on the multi-step estimation with the inclusion of technical efficiency determinants on this type of specialization in the EU. The results show that the overall technical efficiency achieves the mean value of 68% and is relatively dense around the mean. The persistent inefficiency poses a greater problem for dairy production and varies considerably across European regions compared to the transient part. Based on the assessment of the development of transient efficiency, it is evident that it is influenced by the situation on the dairy market, in particular by the milk crises. The most effective conversion of inputs to outputs is achieved in the Netherlands, the United Kingdom, and Belgium and is least burdened with institutional and structural rigidities. The results show that transient efficiency is positively influenced by paid labour share, rented land share, level of modernization and level of off-farm activities and negatively by the level of subsidies on livestock. The positive effect of the economies of size on persistent efficiency is not proved. However, specialization, despite the higher vulnerability of specialized farms to price shocks, affects persistent efficiency positively. Localization of farms in LFAs, as expected, has a negative impact on persistent technical efficiency.


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