191 research outputs found
Identifying the complex relationships among emotional labor and its correlates
No full textStudied since the late 70s, emotional labor has received much attention especially in the service product context due to its presumed double edged wedge potential. Several job-related and person-related factors are postulated and tested for influence on emotional labor. However, the influence of culture, as a blanket factor, has been overlooked thus far. The aim of this study is to measure the complex relationships between emotional labor and a few of its antecedents and outcomes, including those previously measured and those missed such as culture. A structural equation modeling approach is used to identify the complex relationships inherent among emotional labor and other relevant factors, namely, personality, culture, work experience, job autonomy, and job satisfaction; job satisfaction was identified as being dependent on emotional labor and all other variables were identified as being independent. Findings revealed a negative relationship between emotional labor and job satisfaction and a surprising positive relationship between emotional labor and neuroticism but not extraversion, which are both defined by cultural values. Job autonomy, affected by work experience and extraversion, had a positive relationship with job satisfaction. © 2010 Elsevier Ltd
Strategic orientation and performance of tourism firms: Evidence from a developing country
No full textThis study investigates whether tourism firms in a developing country, namely Turkey, which adopt one of the four strategic orientations of Miles and Snow (1978), differ based on their financial and non-financial performance. The study results show that there is a difference in both financial and non-financial performance based on the strategic orientations followed by tourism enterprises. Generally, prospectors were found to outperform defenders, whereas analyzers showed a comparable performance to prospectors. The findings of this study imply that in developing countries, tourism businesses may be indifferent when choosing between these two strategies based on their internal characteristics since they yield similar financial results. Specific factors and developments in the macro environment and company-specific factors seem to affect tourism firms’ strategic orientation as well as their performance. Better understanding and closer analysis of such factors can help improve the performance of tourism businesses in developing countries. Further research using both perceptual and objective measures is needed to confirm the present results to better assess possible differences in performance among strategic orientations in some other developing countries
CAF across proficiency levels and profiles: an investigation of ESL student writings in an English placement test
No full textThis study was an examination of the predictive value of complexity, accuracy and fluency (CAF) across proficiency levels and profiles in second language writing. 150 ESL essays of international students registered at a North American university were analyzed using various CAF measures. Descriptive statistics and one-way ANOVA results indicate that fluency is the strongest indicator of proficiency. Accuracy is also found to distinguish across proficiency levels. Length-based complexity measures are found to better predict proficiency while subordination is found to be a comparatively weak indicator. For lexical complexity, number of different words could better distinguish writers across proficiency levels. When results are analyzed for language profiles, it is found that syntactic complexity and accuracy better distinguish across profiles.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01The student, Arzu Avci, accepted the attached license on 2020-07-15 at 12:08.The student, Arzu Avci, submitted this Thesis for approval on 2020-07-15 at 12:24.This Thesis was approved for publication on 2020-07-16 at 18:47.DSpace SAF Submission Ingestion Package generated from Vireo submission #15637 on 2020-10-02 at 15:33:38Made available in DSpace on 2020-10-07T22:44:39Z (GMT). No. of bitstreams: 2
AVCI-THESIS-2020.pdf: 1139566 bytes, checksum: d538a0698835b205f65b3f90a28ca66a (MD5)
LICENSE.txt: 4206 bytes, checksum: 8e6f230c3ea0e63ab4253fd4cb9b6e19 (MD5)
Previous issue date: 2020-07-16Embargo set by: Seth Robbins for item 116245
Lift date: 2022-10-07T22:44:53Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl
Recognizing and Discovering Activities of Daily Living in Smart Environments
No full textIdentifying human activities is a key task for the development of advanced and effective ubiquitous applications in fields like Ambient Assisted Living. Depending on the availability of labeled data, recognition methods can be categorized as either supervised or unsupervised. Designing a comprehensive activity recognition system that works on a real-world setting is extremely challenging because of the difficulty for computers to process the complex nature of the human behaviors.
In the first part of this thesis we present a novel supervised approach to improve the activity recognition performance based on sequential pattern mining. The method searches for patterns characterizing time segments during which the same activity is performed. A probabilistic model is learned to represent the distribution of pattern matches along sequences, trying to maximize the coverage of an activity segment by a pattern match. The model is integrated in a segmental labeling algorithm and applied to novel sequences. Experimental evaluations show that the pattern-based segmental labeling algorithm allows improving results over sequential and segmental labeling algorithms in most of the cases. An analysis of the discovered patterns highlights non-trivial interactions spanning over a signifcant time horizon. In addition, we show that pattern usage allows incorporating long-range dependencies between distant time instants without incurring in substantial increase in computational complexity of inference.
In the second part of the thesis we propose an unsupervised activity discovery framework that aims at identifying activities within data streams in the absence of data annotation. The process starts with dividing the full sensor stream into segments by identifying differences in sensor activations characterizing potential activity changes. Then, extracted segments are clustered in order to find groups of similar segments each representing a candidate activity. Lastly, parameters of a sequential labeling algorithm are estimated using segment clusters found in the previous step and the learned model is used to smooth the initial segmentation. We present experimental evaluation for two real world datasets. The results obtained show that our segmentation approaches perform almost as good as the true segmentation and that activities are discovered with a high accuracy in most of the cases. We demonstrate the effectiveness of our model by comparing it with a technique using substantial domain knowledge. Our ongoing work is presented at the end of the section, in which we combine pattern-based method introduced in the first part of the thesis with the activity discovery framework. The results of the preliminary experiments indicate that the combined method is better in discovering similar activities than the base framework
The Role of Post-divorce Parental Conflict in Predicting Aggression, Anger, and Symptoms of Anxiety and Depression among University Students
No full textThe aim of this study was to investigate whether post-divorce parental conflict predicted physical aggression, anger and symptoms of anxiety and depression among university students. One hundred and sixty students (96 females and 64 males) who were enrolled at Muğla Sıtkı Koçman University, whose parents were divorced and whose ages were between 18 and 24 were included in the study. Post-Divorce Parental Conflict Scale, physical aggression and anger dimensions of Buss-Perry Aggression Scale, and anxiety and depression dimensions of Brief Symptom Inventory were used as data collection tools. In this study, path analysis was used with statistically observed variables. The findings of the current study revealed that post-divorce parental conflict predicted physical aggression, anger, and symptoms of anxiety and depression in the university students. Post-divorce parental conflict explained 7% of the variance in physical aggression, 5% of the variance in anger, 15% of the variance in anxiety symptoms, and 13% of the variance in depression symptoms. The obtained results were discussed in reference to the related literature
Predicting the Performance in Decision-Making Tasks: From Individual Cues to Group Interaction
No full textLIDIA
The Effects of Ideology on the Literary Style in Literary Works
No full textThe language spoken by societies throughout their history reveals the reflections about their life style. Therefore, language and cultural interaction provides important clues to analyze the sociological structure of societies. The literary style of an author is influenced by his/her ideology which is shaped by the period, the life of the society and the personal life of the author him/herself. Therefore, it can be said that the literary style is a conversion of ideas into literary works. This study of literary style is investigated within the scope of Structuralism (Saussure, 1949) and the Transfomational-generative grammar (Chomsky, 1964). These two theories are not sufficient enough to analyze and explain the Turkish language system. The critics of these is studied depending on 'the theory of language-thought analysis' (Avci, 2012). For this purpose, the sentences in the 'Grey' novel by Orhan Kemal were analyzed basically on meaning-centered approach, explored the factors that influence the literary style and tried to grasp the author's mentality. The novel is chosen specially for its being a social novel. Therefore the sentences in the novel 'Grey' were analyzed on the basis of meaning-centered approach. The data gathered by categorical content analysis were interpreted. In order to define the features that effects the literary style, the content analysis method was used and the data compared. In this research, when analyzing the language in use and literary style of the author in the novel, it is observed that the lack of deep structure of the novel is striking and it is a kind of reproducing the foreign languages. The study concluded that the author's literary style and basic mentality is not compatible with the society that he/she lives in, he/she leads to corruption of the syntax of the language and lost the touch with the realities of the Turkish society in the novel, as well
Comparison of Tourists' and Employees' Evaluations Regarding Services
No full textTuristlerin uyruklarına bağlı olarak konaklama işletmelerinin hizmet performansı hakkındaki değerlendirmelerinin farklılık arz edip etmediğini saptamak ve turistler ile hizmet verenlerin değerlendirmelerini karşılaştırmak amacıyla Muğla İli’nde bir tarama (survey) çalışması yapılmıştır. Altı alanda yapılan hizmet performans değerlendirmeleri karşılaştırmalarından sadece ikisinde (“tutumlar” ve “davranışlar ve beceriler”) turist ve personelin karşılaştırmalarında anlamlı düzeyde farklılık çıkmıştır. Bu iki alanda turistlerin değerlendirmeleri daha yüksektir. İkinci konuya gelince, Batılı ülkelerden olan İngiliz, Alman, Hollandalı ve İskoçların değerlendirmeleri ile Rusların değerlendirmeleri arasında önemli farklılıklar bulunmuştur. Ayrıca, Belçikalı turistlerin değerlendirmelerinin “çalışanların tutumları” konusunda Alman, İngiliz, Hollanda ve İskoçların değerlendirmelerinden anlamlı düzeyde farklılık bulgulanmıştır.A survey was conducted in Muğla Region to find out, on one hand, whether there are differences between tourists' evaluations of hospitalities' performances and employees self-evaluations, and on the other hand whether evaluations of tourists from various countries differ. Tourists' and service providers' evaluations in six constructed areas differed significantly only in two areas: "attitudes" and "behaviors and skillfulness". Tourists' evaluations in the mentioned areas are significantly higher than those of employees. When it comes to the second issue, the study shows that there are some significant differences between Russian tourists' evaluations and Western nationalities' evaluations, those of British, Germans, Dutch, and Scottish. Also, Belgians' evaluations were set apart from those of the mentioned nationalities in "attitude of employees"
- …
