The Effects of Conceptually Driven Versus Data-Driven Encoding on Traumatic Memory Amplification

Our research examines whether the way in which a person encodes a traumatic experience affects their post traumatic stress disorder (PTSD) symptoms and ability to remember the trauma over time. In our first study, we were interested in establishing whether people have any existing beliefs about how encoding processes influence the development of PTSD. In line with Ehlers and Clark’s (2000) theory, we hypothesized that people would be more likely to indicate that exclusively paying attention to sensory details during a traumatic event contributes to the formation of traumatic memories and PTSD. To test this hypothesis, we designed a simple survey asking about people’s beliefs concerning the relationship between encoding and PTSD as well as their confidence in those beliefs. In our second study, we examined whether people’s encoding strategy when they experience a traumatic event affects their later emotions and their ability to remember that trauma over time. Participants were randomly assigned to one of three encoding conditions—control, conceptually driven (process the meanings of the images) or data-driven (processing the images by focusing on the sensory details)—while they viewed a set of traumatic photographs from the International Affective Picture System (IAPS; Lang, Greenwald, Bradley, & Hamm, 1993). In Phase 1, participants took a series of baseline mood measures, were randomly assigned to an encoding condition, and were shown a series of traumatic photographs. Participants also monitored the number of intrusions they experienced and took an immediate Old/New memory test. A week later, participants completed Phase 2 involving a second, surprise, Old/New memory test. We also assessed participants PTSD symptoms again to see if their symptomology increased over the week. We hypothesized that participants in our data-driven encoding condition would misremember more trauma over time and experience an increase in PTSD symptoms (indicating the memory amplification effect). Although our Study 1 hypothesis was supported, Study 2 hypotheses were not. Nonetheless, our results provide insights into the importance of encoding strategies following exposure to trauma, changes in PTSD symptoms, and the potential for subsequent memory amplification following traumatic experiences

Catching up with Method and Process Practice: An Industry-Informed Baseline for Researchers

Software development methods are usually not applied by the book.companies are under pressure to continuously deploy software products that meet market needs and stakeholders\u27 requests. To implement efficient and effective development processes, companies utilize multiple frameworks, methods and practices, and combine these into hybrid methods. A common combination contains a rich management framework to organize and steer projects complemented with a number of smaller practices providing the development teams with tools to complete their tasks. In this paper, based on 732 data points collected through an international survey, we study the software development process use in practice. Our results show that 76.8% of the companies implement hybrid methods.company size as well as the strategy in devising and evolving hybrid methods affect the suitability of the chosen process to reach company or project goals. Our findings show that companies that combine planned improvement programs with process evolution can increase their process\u27 suitability by up to 5%

A3 thinking approach to support knowledge-driven design

Problem solving is a crucial skill in product development. Any lack of effective decision making at an early design stage will affect productivity and increase costs and the lead time for the other stages of the product development life cycle. This could be improved by the use of a simple and informative approach which allows the designers and engineers to make decisions in product design by providing useful knowledge. This paper presents a novel A3 thinking approach to problem solving in product design, and provides a new A3 template which is structured from a combination of customised elements (e.g. the 8 Disciplines approach) and reflection practice. This approach was validated using a case study in the Electromagnetic Compatibility (EMC) design issue for an automotive electrical sub-assembly product. The main advantage of the developed approach is to create and capture the useful knowledge in a simple manner. Moreover, the approach provides a reflection section allowing the designers to turn their experience of design problem solving into proper learning and to represent their understanding of the design solution. These will be systematically structured (e.g. as a design checklist) to be circulated and shared as a reference for future design projects. Thus, the recurrence of similar design problems will be prevented and will aid the designers in adopting the expected EMC test results

Preventing Incomplete/Hidden Requirements: Reflections on Survey Data from Austria and Brazil

Many software projects fail due to problems in requirements engineering (RE). The goal of this paper is analyzing a specific and relevant RE problem in detail: incomplete/hidden requirements. We replicated a global family of RE surveys with representatives of software organizations in Austria and Brazil. We used the data to (a) characterize the criticality of the selected RE problem, and to (b) analyze the reported main causes and mitigation actions. Based on the analysis, we discuss how to prevent the problem. The survey includes 14 different organizations in Austria and 74 in Brazil, including small, medium and large sized companies, conducting both, plan-driven and agile development processes. Respondents from both countries cited the incomplete/hidden requirements problem as one of the most critical RE problems. We identified and graphically represented the main causes and documented solution options to address these causes. Further, we compiled a list of reported mitigation actions. From a practical point of view, this paper provides further insights into common causes of incomplete/hidden requirements and on how to prevent this problem.Comment: in Proceedings of the Software Quality Days, 201

Linking business analytics to decision making effectiveness: a path model analysis

While business analytics is being increasingly used to gain data-driven insights to support decision making, little research exists regarding the mechanism through which business analytics can be used to improve decision-making effectiveness (DME) at the organizational level. Drawing on the information processing view and contingency theory, this paper develops a research model linking business analytics to organizational DME. The research model is tested using structural equation modeling based on 740 responses collected from U.K. businesses. The key findings demonstrate that business analytics, through the mediation of a data-driven environment, positively influences information processing capability, which in turn has a positive effect on DME. The findings also demonstrate that the paths from business analytics to DME have no statistical differences between large and medium companies, but some differences between manufacturing and professional service industries. Our findings contribute to the business analytics literature by providing useful insights into business analytics applications and the facilitation of data-driven decision making. They also contribute to manager's knowledge and understanding by demonstrating how business analytics should be implemented to improve DM