The role of emotions in value creation for families in pediatric health care

The purpose of this study was to analyze emotions related to a child’s critical illness from the perspective of the family and discuss the link those emotions might form with value creation. High quality service is of paramount importance in hospital care, especially when a child is diagnosed with critical illness. Through the analysis of patient family emotions and their triggers, the study was aiming to deepen the understanding of value creation for customer. Therefore, the research sought to find answers to the following three sub-questions: 1. What are the emotions experienced? 2. What triggers them? 3. How are the emotions linked to amelioration or aggravation of value for patient and family? The theoretical background of this research is built on two core concepts: emotions and value creation. As both concepts are wide and multifaceted, the research concentrates on viewing emotions from the applicable cognitive angle, identifying and categorizing emotions in a general level. Value creation is studied from the service perspective, discussing the possible relations between emotions and value creation. Moreover, the suitability of views regarding customer value co-creation to health care encounters is analyzed. Qualitative approach was selected as the most appropriate methodology for conducting the empirical research. The empirical data was collected from public blogs, for which a total of 18 blogs were reviewed. Five blogs were selected for the analysis, which had the intent of identifying the emotions experienced by patient families and deepening the knowledge of their role in value creation during health care service encounters. The empirical study of this research discovered a wide range of positive and negative emotions, which denotes that a severe life situation does not prevent the feeling of positive emotions. Furthermore, by combining the empirical findings to the theoretical background, this study concludes that recognizing and treating the patient family as a partner and value creator is essential. The high quality technical aspect of care is vital, but it is not the sole attribute for service quality, as the interpersonal communication plays a large role in the customer’s overall assessment of the health care performance. The patients and their families largely evaluate the service encounter based on their perceptions, thus emotions play a significant role. Depending on the service experience, value maybe created or destructed. Hence, this study posits emotion at the core of the service encounter, indicating towards the importance of active assessment of customer perceptions and the recognition of the emotional states

Exploring the feasibility of applying data mining for library reference service improvement : a case study of Turku Main Library

Data mining, as a heatedly discussed term, has been studied in various fields. Its possibilities in refining the decision-making process, realizing potential patterns and creating valuable knowledge have won attention of scholars and practitioners. However, there are less studies intending to combine data mining and libraries where data generation occurs all the time. Therefore, this thesis plans to fill such a gap. Meanwhile, potential opportunities created by data mining are explored to enhance one of the most important elements of libraries: reference service. In order to thoroughly demonstrate the feasibility and applicability of data mining, literature is reviewed to establish a critical understanding of data mining in libraries and attain the current status of library reference service. The result of the literature review indicates that free online data resources other than data generated on social media are rarely considered to be applied in current library data mining mandates. Therefore, the result of the literature review motivates the presented study to utilize online free resources. Furthermore, the natural match between data mining and libraries is established. The natural match is explained by emphasizing the data richness reality and considering data mining as one kind of knowledge, an easy choice for libraries, and a wise method to overcome reference service challenges. The natural match, especially the aspect that data mining could be helpful for library reference service, lays the main theoretical foundation for the empirical work in this study. Turku Main Library was selected as the case to answer the research question: whether data mining is feasible and applicable for reference service improvement. In this case, the daily visit from 2009 to 2015 in Turku Main Library is considered as the resource for data mining. In addition, corresponding weather conditions are collected from Weather Underground, which is totally free online. Before officially being analyzed, the collected dataset is cleansed and preprocessed in order to ensure the quality of data mining. Multiple regression analysis is employed to mine the final dataset. Hourly visits are the independent variable and weather conditions, Discomfort Index and seven days in a week are dependent variables. In the end, four models in different seasons are established to predict visiting situations in each season. Patterns are realized in different seasons and implications are created based on the discovered patterns. In addition, library-climate points are generated by a clustering method, which simplifies the process for librarians using weather data to forecast library visiting situation. Then the data mining result is interpreted from the perspective of improving reference service. After this data mining work, the result of the case study is presented to librarians so as to collect professional opinions regarding the possibility of employing data mining to improve reference services. In the end, positive opinions are collected, which implies that it is feasible to utilizing data mining as a tool to enhance library reference service.