Self-evaluation Model Research Articles

Supervisor incivility and service employee creativity: a moderated mediation model of negative affect state and core self-evaluation

PurposeThe present study examines the effect of supervisor incivility on service employee creativity and the mediating mechanism of negative affect state on the said relationship with the aid of Affective Events Theory (AET) and Social Power Theory. Additionally, the study explores the mitigating role of core self-evaluation in the dual stage of the moderated mediation model.Design/methodology/approachSurvey data were collected from 420 frontline employees working in four-star and five-star hotels across India and PROCESS macro in SPSS 23.0 was employed to test the hypotheses proposed in the study.FindingsThe study findings observe that frontline employees experiencing supervisor incivility face a negative affect state and it further diminishes service employee creativity. Also, the indirect effect gets attenuated at dual stages when frontline employees are equipped with a high level of core self-evaluation.Practical implicationsThe study findings provide various insights to the managers to understand the deleterious effect of supervisor incivility at work and to develop interventions to manage supervisor incivility and the negative affect state among frontline hotel employees.Originality/valueThe present study is the first and unique attempt to investigate the role of supervisor incivility experienced by frontline hotel employees in India with reference to their creativity towards customers and mediating mechanism of negative affect state. The study adds value to the literature by establishing the role of core self-evaluation in the moderated mediation model. Further, the study also provides a unique contribution to the management of frontline hospitality employees.

Development of a Self-Evaluation Model Based on an Intelligent Tutoring System to Increase Student Learning Motivation in Basic Programming Subjects

Learning evaluation is a series of efforts to improve the quality of learning. Evaluation activities will have a good impact on students to encourage themselves in making improvements that affect their learning achievement. However, the implementation of learning evaluation in the field is not always easy. As the results of field studies conducted at SMK BPI Bandung, there are obstacles in the continuity of learning evaluations which the implementation has not been optimal. This study aims to develop a self-evaluation model based on an intelligent learning system (ITS) as a support in the learning process, where students can actively and independently evaluate their abilities, thereby increasing learning motivation which has an impact on their learning achievement. From the results of the research conducted using a nonequivalent pretest-posttest control group design, it was concluded that: 1) The evaluation media based on the ITS got a percentage value of 97.78% in the "very good" category and was feasible to use. 2) ITS evaluation media proved to increase learning motivation in the experimental class, marked by an increase in the average value of pre-test to post-test of 0.83% and showed differences in motivation with the control class. 3) Students respond to the ITS evaluation media, namely the media has a "very good" category with a percentage of 83.58%.

Parental Psychological Control and Internet Gaming Disorder Tendency: A Moderated Mediation Model of Core Self-Evaluation and Intentional Self-Regulation

Parental Psychological Control and Internet Gaming Disorder Tendency: A Moderated Mediation Model of Core Self-Evaluation and Intentional Self-Regulation

Embracing fairness within a cross-efficiency hierarchical network DEA system

Several scholars have utilized hierarchical network Data Envelopment Analysis modeling techniques to assess the performance of complex structures. However, there has been limited consideration given to the integration of a peer-appraisal setting within a self-evaluation hierarchical context. This aims to enhance discriminatory power and mitigate the issue of unrealistic weighting scheme. To this end, our study extends the single-stage hierarchical additive self-evaluation model of Kao (Omega 51:121–127, 2015. https://doi.org/10.1016/j.omega.2014.09.008), by integrating the well-established cross-efficiency method. An original combination of a maxmin secondary goal model and the Criteria Importance Through Inter-criteria Correlation (CRITIC) method is proposed, to expand the basic hierarchical self-evaluation model. The maxmin model addresses the issue of the non-unique optimal multipliers obtained from the self-evaluation model, ensuring a more realistic weight scheme. The CRITIC method, that tackles the aggregation problem by objectively determining weights of criteria, rewards the minority and is conducive to a fairer evaluation. Results indicate that the proposed approach is more likely to obtain a unique efficiency and ranking score for the units under consideration. This study entails a numerical experimentation aimed at evaluating the efficiency of a set of 20 universities while validating the applicability of our proposed approach. To conclude, the practical applications of this methodological framework could encompass assessing services within the higher education sector or fostering sustainable development across various operations within a hierarchical structure.

An exploration of informal peer-support for dietary recommendations in haemodialysis

People often seek feedback to compare aspects of their lives to others. For those undergoing haemodialysis, this may entail discussing dietary advice experiences with others to gain a sense of how well they are doing with their self-management skills. This informal peer-support may present opportunities and challenges for those undergoing haemodialysis. A total of 12 adults undergoing maintenance haemodialysis took part in semi-structured interviews which were transcribed verbatim and underwent thematic analysis. The self-evaluation model of social comparison informed data analysis and interpretation. Two major themes are reported. The major themes were ‘Joining the kidney family’, which represented a sense of solidarity among patients and ‘Social comparison to peers.’ Two sub-themes made up the theme ‘Social comparison to peers’, these were ‘Got it sorted’ and ‘On rocky ground’ and represented upwards comparisons from a self-evaluation perspective and down wards comparisons for self-enhancement. People form social relationships within a haemodialysis unit which are used to obtain evaluations on dietary self-management skills by social comparison. Positive self-evaluations involved downward and upward comparisons around dietary recommendations. Informal peer-support around dietary advice for haemodialysis is variable in terms of the accuracy and helpfulness of the information provided.

A new metabolic syndrome prediction model for self-evaluation as a primary screening tool in an apparently MetS-free population

BackgroundMetabolic syndrome (MetS) is a growing global public health concern associated with increased morbidity and mortality. The study aimed to establish a simple self-evaluated prediction model to identify MetS. MethodsA cross-sectional study based on the American National Health and Nutrition Examination Survey database was performed. Participants aged ≥20 in the 2009–2018 surveys, with no current pregnancy or major morbidities, were included. The model was built with data from 2009 to 2016 and validated using 2017–2018 data. MetS was defined according to AHA/NHLBI guidelines. Multivariable logistic regression was applied to build a prediction model. The area under the receiver operating characteristic curve (AUC) was used to assess the discrimination ability and the maximal Youden's index was used to identify the optimal cut-off value. ResultsThe study included 4245 individuals (median age 37, IQR 28–49, 51.8% females) in the training group and 911 individuals (median age 37, IQR 28–52, 52.5% females) in the validation group. Older age, male gender, non-Black race, no postsecondary education, and higher BMI were significantly associated with increased risk of MetS. The final model included age, gender, race, education, and BMI, and showed good discrimination ability (AUC = 0.810, 95% CI 0.793–0.827, sensitivity 80.4%, specificity 66.2%, positive likelihood ratio 2.379, negative likelihood ratio 0.296, PPV 59.6% and NPV 84.5%). ConclusionA new model for self-evaluation may serve as a primary, easy-to-use screening tool to identify MetS in an apparently MetS-free population. A simple application may serve for primary and secondary prevention, thus enabling risk reduction in the development of cardiovascular morbidity and health expenditure.

Workplace bullying and diffident silence: a moderated mediation model of shame and core self-evaluation

Purpose Workplace bullying generates various emotions, including shame in the target; these emotions can induce employee silence. However, the role of shame in the relationship between workplace bullying and employee silence, and the individual differences in how victims experience shame and silence, has not yet been explored. The present study aims to fill this gap in the literature, using the effect of shame as a mediator and core self-evaluation (CSE) as a moderator. Design/methodology/approach Two thousand faculty members working in different colleges in India were invited to participate in the online survey. The participants were invited to fill in the questionnaire only if they had experienced shame by bullying during the preceding two weeks. Three hundred and twenty faculty members responded to the survey. Findings The results showed that shame mediates the relationship between workplace bullying and diffident silence. In addition, CSE moderates the relationship between shame and diffident silence but not the relationship between workplace bullying and shame. That is, diffident silence induced by shame was noted to be weaker for employees with high CSE. Importantly, the study could not find any individual difference in experiencing shame by bullying. Practical implications Improved CSE can effectively influence diffident silence through shame, helping the management to recognize workplace bullying. Originality/value It is a unique attempt to address diffident silence among Indian academicians, and study the role of targets’ shame and CSE while adopting silence on workplace bullying.

Application of self-evaluation model in the quality-oriented production organisation in a machinery industry company

Application of self-evaluation model in the quality-oriented production organisation in a machinery industry company

Using a Constructivist Multi-Criteria Decision Aid Model (MCDA-C) to Develop a Novel Approach to Self-Manage Motivation in Organizations

The Brazilian Federal Highway Patrol is an organ of public administration with the constitutional mission to carry out the extensive patrolling of federal highways. Stress and physical and emotional exhaustion are constant, causing illnesses along with frustration, demotivation, and depression. The objective of this research is the development of a self-evaluation model of performance for the Federal Highway Patrols, using their perceptions to enhance their motivation at work considering the factors under their control. The constructivist multi-criteria decision aid (MCDA-C) methodology was used to elaborate the model. The proposed model identifies, establishes, and structures a process to measure the performance of patrol officers on the relevant aspects that they can manage, to guide their decisions toward the desired consequences, thus regulating their stress levels.

A neutral cross-efficiency measurement for general parallel production system

There are some problems in the efficiency evaluation for parallel systems. From the applicability of existing models, the parallel models based on self-evaluation may produce the low distinguishing power and unreasonable input–output weights. From the accuracy of efficiency, the weights of partial production-units may be assigned zero values, and thereby the fail of the production-units will lead to the incomprehensibility of system efficiency. The neutral cross-efficiency model maximizes the evaluated decision-making unit (DMU) and simultaneously makes each output of the DMU being as efficient as possible, which effectively avoids the difficulty in choosing between aggressive and benevolent models, and reduces the number of zero output weights. Based on this, this paper proposes the neutral cross-efficiency evaluation method fo r general parallel systems. First, the self-evaluation models for parallel system and its production-units are developed, and the model can enable each production-unit to participate in the evaluation effectively. Then, the neutral cross-efficiency model is proposed to overcome the defects of self-evaluation model. Particularly, the proposed model is also suitable to special general parallel systems with shared resources. More importantly, the proposed models assign different input–output weights for the production-units to avoid the production-units being forced to run under identical production mechanism. Finally, two real-world examples prove the availability and effectiveness of the proposed method.

A Web-Based Self-assessment Model for Evaluating Multidisciplinary Cancer Teams in Spain: Development and Validation Pilot Study.

BackgroundTumor boards constitute the main consensus and clinical decision–making body of multidisciplinary teams (MDTs) in cancer care. With the increasing clinical complexity of treatment options (eg, targeted therapies, multimodal treatments) and the progressive incorporation of new areas of intervention (eg, survivorship care), tumor boards are now required to play a central role in all cancer processes. However, although frameworks are in place to evaluate MDT quality, only few web-based tools are available for this purpose; indeed, no web-based MDT evaluation tools have been developed for or adapted to the Spanish National Health System.ObjectiveThe first aim of this study was to develop a web-based self-assessment model (Autoevaluación de Equipos Multidisciplinares de Atención al Cáncer [AEMAC]) for evaluating multidisciplinary cancer teams in Spain and the second aim was to validate this tool by testing its metric properties, acceptability, and usability.MethodsWe designed and validated the AEMAC program in 3 stages. In the first stage (research), we reviewed the available scientific evidence and performed a qualitative case study of good practice in multidisciplinary care within the Spanish National Health System (n=4 centers and 28 health care professionals). The results were used to define the thematic areas and quality criteria for the self-evaluation model, which were then discussed and validated by a group of experts. The second stage (development) involved the technological development of a web app that would be accessible from any mobile device. In the third stage (piloting and validation), we conducted 4 pilot tests (n=15 tumor boards, 243 professionals) and used the results to analyze the acceptability and usefulness of the tool.ResultsWe designed a self-assessment model based on 5 thematic areas encompassing a total of 25 quality components, which users rated on a 3-option development scale. The evaluation process, which was managed entirely from the web app, consisted of individual self-assessment, group prioritization, and creation of an improvement plan. Cronbach alpha (.86), McDonald’s omega (0.88), and various fit indices (comparative fit index between 0.95 and 1 and goodness-of-fit index between 0.97 and 0.99 for all 5 aspects) confirmed internal consistency. The mean rating for overall satisfaction with the tool and for consistency between the content of the tool and the reality of tumor boards was 7.6 out of 10.ConclusionsThe results obtained during the period of research and piloting of the AEMAC program showed that it has an appropriate structure and metric properties and could therefore be implemented in a real context and generalized to other hospitals. As a virtual tool, it helps to measure the key aspects of MDT quality, such as effectiveness of collaboration and communication, leadership, and the organizational environment.

Developing self-evaluation model of elementary school

목적 본 연구의 목적은 교사와 학부모의 인식을 토대로 학교 운영의 효율성 제고와 학생 교육의 책무성 확보를 효과적으로 지원하는 초등학교 자체평가 모델을 수립하는 것이다. 방법 이를 위하여 문헌분석과 학교평가 전문가의 검토를 통해 학교평가 이론 모델을 수립하였다. 그리고 도출된 이론 모델의 타당성을 검증하기 위해 오산시 소재 공립 초등학교의 교사 55명과 학부모 39명을 대상으로 각 지표에 대한 중요도와 실행도를 확인하고자 설문조사를 실시하였다. 결과 본 연구 결과, 3개 영역 22개 지표로 구성된 학교평가 모델이 개발되었다. 각 영역별 교사와 학부모가 강조하는 지표가 달랐다. 교사는 학교행정시스템 관련 지표를 중시하는 반면, 학부모는 학생의 안전과 교육 관련 지표를 보다 중시하였다. 결론 본 연구 결과는 향후 공동체적 관점에서 학교를 성공적으로 운영할 수 있는 지표로 활용될 수 있다.

Portuguese School Libraries

In this paper we propose to present and analyse the School Libraries Self-Evaluation Model created for Portuguese Schools. We focus on its principles and steps leading to implementation. The self-evaluation model is based on four domains which represent essential areas to the accomplishment of school libraries’ teaching and learning objectives. Some of the features are characteristic of the Portuguese reality, but they are all directed towards critical teaching and learning dimensions of school libraries.

How do School Libraries Promote Student Success?

Education in Portugal is undergoing significant changes related to the government-led Technological Plan. This is a consequence of the major reconfiguration introduced by educational technologies now available to schools. Such a process presents challenges to schools libraries, which must respond adequately, change management and information management practices and engage in collaborative work with teachers. School Libraries aim at developing reading and information literacies and at implementing creative problem solving-based approaches to learning, such as inquiry based learning. Since its establishment under inter-ministerial initiative in 1996, the School Libraries Network (SLN) has strived to incorporate critical success factors identified in international literature. SLN has moreover implemented the School Libraries Self-Evaluation Model, to reinforce school libraries' educational role and promote quality and accountability. This paper aims at confronting the realizations and shortcomings of SLN with internationally identified concepts, standards and critical success factors, whilst revealing aspects of the Portuguese reality.

Some self-evaluation models of enterprise’s credit based on some probabilistic double hierarchy linguistic aggregation operators

Probabilistic double hierarchy linguistic term set (PDHLTS) can not only express the complex linguistic information that the probabilistic linguistic term set (PLTS) cannot express, but also reflect the frequency or importance of linguistic term set (LTS)that cannot be reflected by the double hierarchy linguistic term set (DHLTS). It is an effective tool to deal with multiple attribute group decision making (MAGDM) problems. Therefore, in this paper, we propose several aggregation operators which can aggregate PDHLTS information and apply them to MAGDM problems. Firstly, the basic notion of PDHLTS is reviewed, and the distance formula and algorithm of PDHLTS are defined; then, extant weighted averaging (WA) operator, weighted geometric(WG) operator and power weighted averaging (PWA) operator, power weighted geometric(PWG) operator to PDHLTS, and establish probability double hierarchy linguistic weighted averaging (PDHLWA) operator, probability double hierarchy linguistic weighted geometric (PDHLWG) operator, probability double hierarchy linguistic power weighted averaging (PDHLPWA) operator, probability double hierarchy linguistic power weighted geometric (PDHLPWG) operator; in addition, The idempotency, boundedness and monotonicity of these aggregation operators are studied; what’s more, those aggregation operators are proposed to establish the enterprise credit self-evaluation model; Finally, compared with the available probabilistic double hierarchy linguistic MAGDM methods, the defined model is proved to be scientific and effective.

Metabolic rate estimation method using image deep learning

Thermal comfort is an important factor in evaluating indoor environmental quality. However, accurately evaluating thermal comfort conditions is challenging owing to the lack of suitable methods for measuring individual factors such as the metabolic rate (M value). In this study, a M value evaluation method was developed using deep learning. The metabolic equivalent of task was measured for eight typical indoor tasks based on the ASHRAE Standard 55 (lying down, sitting, cooking, walking, eating, house cleaning, folding clothes, and handling 50 kg books) in 31 subjects (males: 16; and females: 15); the measurements were analyzed in terms of gender and body mass index (BMI). The experimental results were assessed using the reliability of the measured data, the M value difference in terms of gender and BMI, and the measurement accuracy. We developed a M value self-evaluation model using artificial intelligence, which achieved an average coefficient of variation (CV) of 12%. A third-party evaluation model was used to evaluate the M value of one subject based on the learning data acquired from the other 30 subjects; this model yielded a low CV of 54%. For high-activity tasks, males generally had higher M values than females, and the higher the BMI was, the higher was the M value. Contrarily, for low-activity tasks, the lower the BMI was, the higher was the M value. The breakthrough M value evaluation method presented herein is expected to improve thermal comfort control.

A Statistical Model for the Self-evaluation of Teacher Satisfaction in School Management: a Study in the Italian Secondary School

Job Satisfaction is a set of favorable or unfavorable feelings and emotions linked to how employees view their work environment, and supervisors need to be attentive to employee satisfaction levels. If employees are not satisfied with their jobs, the overall progress of the entire system is affected. This paper reports on a teacher job satisfaction study that examined a sample of 362 teachers. The Common Assessment Framework & Education questionnaire was used to collect data. The aim of the study is to identify, by a Structural equation model, the factors that most influence Job Satisfaction taking into account age, total years of service and gender. The results underlines a significant difference between male/female in Job Satisfaction model.

Samosaosećanje i samopoštovanje kao prediktori psihološke dobrobiti

His paper examines how different conceptualizations of treating oneself, self-esteem and self-compassion relate to various aspects of well-being. Self-compassion is a relatively novel psychological construct and an alternative conceptualization of self-evaluation models which entails a stable sense of self-worth that is not contingent on social approval or particular outcomes, but rather founded on the awareness that one is valuable as a human being. Based on previous research, we expected that self-compassion would predict unique variance in wellbeing, especially eudaimonic well-being. The study was conducted on a sample of 165 participants. The following measures were used in the research: Self - liking/Self - Competence Scale, Self - Compassion Scale, Questionnaire for Eudaimonic Well-Being, Basic Psychological Needs Scale and Pemberton Happiness Index. The results are indicating that both self-compassion and self-esteem are equally important predictors of various aspects of well-being. Additionally, given that selfcompassion and self-esteem are highly correlated, findings are indicating the significant degree of overlap between the constructs. Although, we strongly recommend future research on self-compassion, as potentially useful for comprehensive understanding of self-evaluation models, and propose future research directions.

Is the Partnership Governance Able to Promote Endogenous Rural Development? A Preliminary Assessment Under the Adaptive Co-Management Approach

Abstract Ever increasingly more, all the actors directly or indirectly involved in the planning processes express the need to know the effects deriving from the implementation of rural development policy. In this direction, evaluation can make an important contribution, fostering the development of a ‘good policy’ as underlined by EU regulations. Among the specific evaluation questions developed by the Common Monitoring and Evaluation Framework, one of them relates to the improvement of governance. Considering the Adaptive Co-Management (ACM) approach’s capacity as a proxy of the quality of network governance, the study aims to propose the ACM theoretical framework as a suitable model with which to study the social interactions between actors in the smallest unit of the LEADER process (i.e., the local action group’s (LAG’s) partnership governance). The proposed methodology is subsequently tested on a specific case study through the evaluation of the partnership governance of two case studies in the South of Italy. The empirical evidence supports the idea that ACM approach may represent a new model to assess the quality of the implementation process of the LEADER Programme. In addition, the ACM approach can lead to a new organizational and self-evaluation model of LAGs which places an emphasis on the importance of the relational process among its members.

Group cross-efficiency evaluation in data envelopment analysis: An application to Taiwan hotels

Abstract Data envelopment analysis methodology has been applied to hotels performance evaluation in tourism industry. This study develops group efficiency and group cross-efficiency models to evaluate Taiwan hotel chains and subsidiary hotels with data from 2011 to 2015. We present group efficiency with two definitions and develop self-evaluation models for groups. The two definitions are the average performance which views the group efficiency as the average of its members’ performance, and the weakest performance which uses the worst of members’ efficiencies to indicate the group efficiency based on the cask principle, respectively. In the group cross-efficiency evolution, we develop corresponding models based on the average performance and the weakest performance as the group efficiency. Our developed models are extensions of classic cross-efficiency model, focusing on the performance of hotel chains in the perspective of the group instead of individual hotel. Empirical results show that Hotel Royal and Regent Hotel outperformed from 2011 to 2015 comparing with other hotel chains.