Transition: Early Intervention to Preschool

The Individuals with Disability Education Act (IDEA) requires all Individualized Family Service (IFSP) plans to address transition. Early Intervention programs must initiate and discuss the transition process from early intervention to school-based services with each family at least 90 days before the child’s third birthday. Transition should be a process of information sharing and planning for each individual family. The transition process can be very stressful for many families because services, service providers, location, and delivery of services change. Preschool is often a family’s first experience with a school environment, successful collaboration and communication through the transition phase enhances the family experience and increases future success and outcomes for children and families. This project will review the literature on transition that will include: the transition process, family experiences including successes and barriers, and impact on school success. In this literature review, many scientific studies were reviewed to gain a deeper understanding of this subject

Director of Nursing Role Conflict and Ambiguity, Commitment, and Intent to Stay

High rates of turnover and the limited tenure of directors of nursing (DONs) in long-term care creates instability in the nursing workforce and the quality of care provided. Organizations, industry, and stakeholders have made little progress to change this turnover crisis. The purpose of this quantitative study, guided by organizational role and social exchange theories, was to determine if there was a difference in levels of affective organizational commitment and intent to stay mediated by leader-member exchange in long-term care DONs with different levels of role conflict and role ambiguity. The key variables were measured with the Role Questionnaire, Leader-Member Exchange Scale 7, Affective Commitment Questionnaire, and the Intent to Stay Scale. DONs were recruited via e-mail and social media, and 126 participants completed the surveys with 42 experiencing high role conflict and 13 experiencing high role ambiguity. Results revealed no differences in the levels of affective organizational commitment or intent to stay between DONs with high versus low levels of role conflict or role ambiguity. However, role ambiguity and leader-member exchange, but not role conflict, significantly predicted a DON\u27s affective organizational commitment and intent to stay. Future research could consider the levels of role conflict and role ambiguity experienced by the DON and the tenure of the DON and the effect on the quality of resident care provided. The results of this study could impact positive social change by being used to advocate for role clarity and improve relationships with leaders to increase DON tenure, which would improve nurse workforce turnover and the quality provided in long-term care

LEVERAGING TEXT MINING FOR THE DESIGN OF A LEGAL KNOWLEDGE MANAGEMENT SYSTEM

In today’s globalized world, companies are faced with numerous and continuously changing legal requirements. To ensure that these companies are compliant with legal regulations, law and consulting firms use open legal data published by governments worldwide. With this data pool growing rapidly, the complexity of legal research is strongly increasing. Despite this fact, only few research papers consider the application of information systems in the legal domain. Against this backdrop, we pro-pose a knowledge management (KM) system that aims at supporting legal research processes. To this end, we leverage the potentials of text mining techniques to extract valuable information from legal documents. This information is stored in a graph database, which enables us to capture the relation-ships between these documents and users of the system. These relationships and the information from the documents are then fed into a recommendation system which aims at facilitating knowledge transfer within companies. The prototypical implementation of the proposed KM system is based on 20,000 legal documents and is currently evaluated in cooperation with a Big 4 accounting company

The Performance and Reliability of a RFID Cycle-Count – A Quantitative Approach from Fashion Retail

In recent years, several retailers gained experience with the implementation and use of radio-frequency identification (RFID). Although extensive benefits through the use of RFID have been discussed in academia and practice for many years, strategic approaches to reach the promised targets still are largely unexplored. To support practitioners with using RFID in retailing, the reliability of data generated by RFID in-store processes has to be investigated. As a starting point, we compare in the present study the quality of a RFID cycle-count to a physically conducted count. We collected data from a real-world implementation and completed parallel counts in 9 RFID pilot stores at a global fashion retailer. Our results based on an item-level error investigation show, that the error rate of a RFID cycle-count nearly is as low as the error rate of a physical conducted count. As a consequence for further research, more reliable data collected in a cycle-count lead to a better stock accuracy, more effective in-store replenishment processes and less stock-out situations

Predicting The Disclosure of Personal Information on Social Networks: An Empirical Investigation

The present study considers factors that motivate users of social networks to publish different types of privacy-related information to friends or even the public. In contrast to prior research, we do not limit our research scope to an individual\u27s decision-making process (i.e., the formation of behavioral intentions) but also include actual behavior as observed among a group of real Facebook users. Our objective is to test to what extent existing theory is not only capable of explaining self-disclosure decisions but also to predict subsequent behavior. We test our model using a combination of structural equation modeling and logistic regression with questionnaire data and data collected from the Facebook platform. Our results indicate that the way self-disclosure was operationalized in prior research shows low predictive power, especially when compared to predictions based on simple questions regarding an individual\u27s sensitivity to the disclosure of personal information

ALIGNING IS CURRICULUM WITH INDUSTRY SKILL EXPECTATIONS: A TEXT MINING APPROACH

Digitalization offers both great opportunities as well as new challenges and uncertainties. In particular, students in their role as future employees will have to cope with the new digital environments, which makes lifelong learning and up-to-date skills even more important than they already are. Key players in this long-term development are the universities as providers of the necessary skills and knowledge. By now, it is clear that digitalization will have a broad impact on the future conditions of universities. But are they already prepared for it? Against this backdrop, we present an approach to combine universities’ offerings with the required industry job skills to identify potential curricular gaps at course level that arise through ongoing digitalization and, as a consequence, changing skill requests for employees. We identify an appropriate set of methods for our project including text min-ing methods, an expert survey and an interview phase for evaluation. We illustrate our approach using a large data set of German IS curricular module descriptions and offers for IS job starters