The purpose of this prospective, descriptive, cross-sectional, correlational study was to explore the relationship between staff nurses' perceptions of first line manager coaching behaviors and nursing work environment characteristics, professional work satisfaction, job satisfaction, and intent to stay. Staff nurses perceived managers as engaging in certain coaching behaviors more frequently than others. Behaviors that established a mutually trusting and supportive relationship were reported as the most frequently occurring behaviors. Behaviors that supported the development of a mutually trusting and respectful relationship were reported as the most frequently occuring behaviors. Behaviors that supported one-on-one interactions focusing on individual development occurred less frequently. Managerial coaching behaviors were positively correlated with eight work environment characteristics which comprise professional work satisfaction, with medium to large effect sizes noted. Coaching behaviors also demonstrated positive relationships with job satisfaction and intent to stay. Correlational analyses and regression analyses illuminated the relationships between the variables. Mediation analysis of managerial coaching and the eight work environment characteristics defining professional work satisfaction provided more complete understanding of the relationship in prediction of intent to stay. The eight characteristics acted as either total or partial mediators of managerial coaching when predicting intent to stay. Demographic characteristics, managerial coaching and professional work satisfaction explained 41.4% of the variance in job satisfaction. Demographic characteristics, managerial coaching, professional work satisfaction, and job satisfaction explained 37% of the variance in intent to stay. / text

ABSTRACT This study empirically evaluates the theoretical impact of a telecommuting or online work environment on employee loyalty. While the concept of employee loyalty has been extensively researched, the concept of the impact of the work environment on employee loyalty is fairly new. Specifically, this study operationally defines the work environment characteristics that contribute to employee loyalty and examines the impact of the online or telecommuting work environment on employee loyalty. A survey instrument is utilized to collect perceptual data about the psychological components of the work environment and their impact on employee loyalty from the employee's perspective. Multiple linear regression analysis is used to analyze the data from one hundred and three respondents to determine correlation between the work environment characteristics and employee loyalty. Additional statistics utilized in the analysis of the data include: factor analysis, t-test, K-S test, and Cronbach's Alpha. While the study's findings confirm that the three work environment factors (job satisfaction, social interaction, and trust) contribute to employee loyalty as represented by the surrogate, intent to turnover, the dynamics underlying the perceptions of telecommuting and traditional collocated employees is complex. Telecommuting employees, as hypothesized, demonstrate higher levels of intention to turnover, the key construct in the study, than do traditional onsite employees. Similarly, job satisfaction is much lower for telecommuters. No statistically significant differences were found in trust or social interaction. When exploring casual impacts of satisfaction, social interaction and trust on intention to turnover, very different dynamics emerged between the telecommuting and traditional. In particular, job satisfaction, while very important to the traditional workers, was insignificant to intention to turnover to telecommuter employees. In addition, telecommuters apparently had derived alternative mechanisms to allow for social interactions, other than face-to-face ones. Trust, in both groups, is an overriding factor in ameliorating intention to turnover. This research adds to current perspectives on the effects of the work environment on employee loyalty. This research will enhance insights into this increasingly prevalent work environment, and organization researchers and managers will be able to use these results to enhance understanding of the impact on work environment. These contributions may help to decrease turnover and enhance the satisfaction derived in telecommuting work environments. The study ends with a discussion of limitations and suggestions for future research.

Although many people experiences dissatisfaction with their jobs at some time or another, not all of them quit their jobs because of it. Why do some employees simply continue to work in an unsatisfying environment? In this study, it is hypothesized that part of the reason is based on the individual's personality, specifically their scores on positive and negative affectivity. Results showed that neither NA nor PA moderated the relationship between job satisfaction and turnover intentions/job search, contrary to previous literature. This study suggests that the moderation effect of personality on this relationship, either does not exist or is more complicated than formerly thought.

Today, in a world of consumption where almost everything is branded, every consumer has a brand that they love, a so called lovemarks. Nowadays, it takes more than just a commercial to make consumers stay committed to a brand. Consumers need to relate on a more personal level. There lies a deep rooted love, consistent over long periods of time, making the luxury brand consumer’s one the most loyal consumers in the world. Consequently, it is the consumers that decide what a lovemarks is, and why they go back to repurchasing that brand again, a kind of on-going romance between consumer-brand.   The purpose of this dissertation is to explore why consumers develop emotional attachment and loyalty towards brands, leading to a long-lasting, devoted relationship between the consumer and the brand. The aim is to find out elements that are needed to love a brand consistently. The outcome of this study will provide a better look into the consumer’s attitude towards lovemark brands.   A qualitative study has been performed on consumer attitudes towards their lovemarks brand, and the language they use when describing their motive to stay loyal to their brand of preference. Furthermore, the view of what elements are needed for them develop emotional attachment towards that brand is explored.   The conclusion of this dissertation is that in order for consumers to develop loyalty and emotional attachment to brands, they need the elements of emotion, quality, trust, image, timeless fashion, and tradition. These elements combined, make the ultimate consumer that many brands want to have.

This study examined the influence of personal and workplace factors on direct care workers¡¯ retention in Assisted Living Facilities (ALFs). The sample includes 11 ALFs in urban areas in Atlanta, Georgia and 13 participants from the sample facilities. The findings show that personal and workplace factors interact with each other to influence retention in the long-term care field and retention in a particular facility. The findings of this study may have implications for facility policy and practice to retain workers.

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Interpreting user actions to better understand their needs provides an important tool for improving information access services. In the context of organic Web search, considerable effort has been made to model user behavior and infer query intent, with the goal of improving the overall user experience. Much less work has been done in the area of sponsored search, i.e., with respect to the advertisement links (ads) displayed on search result pages by many commercial search engines. This thesis develops and evaluates new models and methods required to interpret user browsing and click behavior and understand query intent in this very different context. The concern of the initial part of the thesis is on extending the query categories for commercial search and on inferring query intent, with a focus on two major tasks: i) enriching queries with contextual information obtained from search result pages returned for these queries, and ii) developing relatively simple methods for the reliable labeling of training data via crowdsourcing. A central idea of this thesis work is to study the impact of contextual factors (including query intent, ad placement, and page structure) on user behavior. Later, this information is incorporated into probabilistic models to evaluate the quality of advertisement links within the context that they are displayed in their history of appearance. In order to account for these factors, a number of query and location biases are proposed and formulated into a group of browsing and click models. To explore user intent and behavior and to evaluate the performance of the proposed models and methods, logs of query and click information provided for research purposes are used. Overall, query intent is found to have substantial impact on predictions of user click behavior in sponsored search. Predictions are further improved by considering ads in the context of the other ads displayed on a result page. The parameters of the browsing and click models are learned using an expectation maximization technique applied to click signals recorded in the logs. The initial motivation of the user to browse the ad list and their browsing persistence are found to be related to query intent and browsing/click behavior. Accommodating these biases along with the location bias in user models appear as effective contextual signals, improving the performance of the existing models.

Self-harming behaviours and suicidality are a serious problem in psychiatric patients with major depressive disorder (MDD) and borderline personality disorder (BPD). Suicidal behaviours are sometimes seen as manipulative and attention-seeking in BPD patients, and are therefore not considered as dangerous as the same behaviours in MDD patients. The Suicidal Feelings and Self-Harm Questionnaire, which examines suicidal intent, was administered to all new outpatients at the Psychiatric Treatment Clinic in the Department of Psychiatry at the University of Alberta Hospital in Edmonton, Canada. Thirty-seven percent of the MDD patients, 78% of the BPD patients, and 77% of patients with comorbid MDD and BPD reported a history of self-harm. Suicidal intent was measured by asking the patients whether they expected to die as a result of their self-harm. There was no statistically significant difference between the diagnostic groups in this regard. This suggests that BPD patients are no less serious about their intent to die than those with MDD.

Standing up from a seated position, known as sit-to-stand (STS) movement, is one of the most frequently performed activities of daily living (ADLs). However, the aging generation are often encountered with STS issues owning to their declined motor functions and sensory capacity for postural control. The motivated is rooted from the contemporary market available STS assistive devices that are lack of genuine interaction with elderly users. Prior to the software implementation, the robot chair platform with integrated sensing footmat is developed with STS biomechanical concerns for the elderly. The work has its main emphasis on recognising the personalised behavioural patterns from the elderly users’ STS movements, namely the STS intentions and personalised STS feature prediction. The former is known as intention recognition while the latter is defined as assistance prediction, both achieved by innovative machine learning techniques. The proposed intention recognition performs well in multiple subjects scenarios with different postures involved thanks to its competence of handling these uncertainties. To the provision of providing the assistance needed by the elderly user, a time series prediction model is presented, aiming to configure the personalised ground reaction force (GRF) curve over time which suggests successful movement. This enables the computation of deficits between the predicted oncoming GRF curve and the personalised one. A multiple steps ahead prediction into the future is also implemented so that the completion time of actuation in reality is taken into account.