The Turk and the Yankee: A Cross-Cultural Comparison between Turkish and American Managers

With Turkey’s developing role as a lead nation among emerging markets, the field of cross-cultural management becomes a key contributor to the interactions between Turkish and American professionals in the workplace. This study uses models of national cultural differences based primarily on the findings of Hofstede (1984), but it also incorporates those of Trompenaars and Hampden-Turner (1998) and the GLOBE project (2002), resulting in a comparative cross-cultural management analysis. In combining both academic theory and actual international experience, this paper illustrates that, through effective cross-cultural management, profound understanding and harmony can exist between international managers

SMALL FARM POLYPERIOD PLANNING MODEL FOR DEVELOPING ECONOMIES

Farm Management,

"Taking your place at the table": an autoethnographic study of chaplains' participation on an interdisciplinary research team.

BackgroundThere are many potential benefits to chaplaincy in transforming into a "research-informed" profession. However little is known or has been documented about the roles of chaplains on research teams and as researchers or about the effects of research engagement on chaplains themselves. This report describes the experience and impact of three chaplains, as well as tensions and challenges that arose, on one particular interdisciplinary team researching a spiritual assessment model in palliative care. Transcripts of our research team meetings, which included the three active chaplain researchers, as well as reflections of all the members of the research team provide the data for this descriptive, qualitative, autoethnographic analysis.MethodsThis autoethnographic project evolved from the parent study, entitled "Spiritual Assessment Intervention Model (AIM) in Outpatient Palliative Care Patients with Advanced Cancer." This project focused on the use of a well-developed model of spiritual care, the Spiritual Assessment and Intervention Model (Spiritual AIM). Transcripts of nine weekly team meetings for the parent study were reviewed. These parent study team meetings were attended by various disciplines and included open dialogue and intensive questions from non-chaplain team members to chaplains about their practices and Spiritual AIM. Individual notes (from reflexive memoing) and other reflections of team members were also reviewed for this report. The primary methodological framework for this paper, autoethnography, was not only used to describe the work of chaplains as researchers, but also to reflect on the process of researcher identity formation and offer personal insights regarding the challenges accompanying this process.ResultsThree major themes emerged from the autoethnographic analytic process: 1) chaplains' unique contributions to the research team; 2) the interplay between the chaplains' active research role and their work identities; and 3) tensions and challenges in being part of an interdisciplinary research team.ConclusionsDescribing the contributions and challenges of one interdisciplinary research team that included chaplains may help inform chaplains about the experience of participating in research. As an autoethnographic study, this work is not meant to offer generalizable results about all chaplains' experiences on research teams. Research teams that are interdisciplinary may mirror the richness and efficacy of clinical interdisciplinary teams. Further work is needed to better characterize both the promise and pitfalls of chaplains' participation on research teams

Specifying sickle cell disease interventions: A study protocol of the Sickle Cell Disease Implementation Consortium (SCDIC)

Abstract Background Sickle cell disease (SCD) is an inherited blood disorder that results in a lifetime of anemia, severe pain, and end-organ damage that can lead to premature mortality. While the SCD field has made major medical advances, much needs to be done to improve the quality of care for people with SCD. This study capitalizes on the Sickle Cell Disease Implementation Consortium (SCDIC), a consortium of eight academic sites aiming to test implementation strategies that could lead to more accelerated application of the NHLBI guidelines for treating SCD. This report documents the process to support the consortium by specifying the interventions being developed. Methods This study consists of three steps. The Principal Investigator of each site and two site representatives who are knowledgeable of the intervention (e.g., study coordinator or the person delivering the intervention) will answer an online survey aiming to capture components of the interventions. This survey will be completed by the site representatives three times during the study: during the development of the interventions, after one year of the interventions being implemented, and at the end of this study (after 2 years). A site visit and semi-structured interview (Step 2) in the first year of the process will capture the context of the sites. Step 3 comprises of the development of a framework with the details of the multi-component SCDIC interventions at the sites. Discussion The outcome of this study, a framework of the SCDIC, will enable accurate replication and extension of published research, facilitating the translation of SCD studies to diverse populations and settings and allowing for theory testing of the effects of the intervention components across studies in different contexts and for different populations. Trial registration ClinicalTrial.Gov (#NCT03380351). Registered December 21, 2017

Ecological Population Expansion of the Introduced Crayfish, Orconectes Virilis

Author Institution: Chesapeake Biological Laboratory, Solomons, Maryland ; Water Pollution Control Commission, State of Maryland, Annapolis, Marylan

Automated Software Quality Visualisation Using Fuzzy Logic Techniques

In the past decade there has been a concerted effort by the software industry to improve the quality of its products. This has led to the inception of various techniques with which to control and measure the process involved in software development. Methods like the Capability Maturity Model have introduced processes and strategies that require measurement in the form of software metrics. With the ever increasing number of software metrics being introduced by capability based processes, software development organisations are finding it more difficult to understand and interpret metric scores. This is particularly problematic for senior management and project managers where analysis of the actual data is not feasible. This paper proposes a method with which to visually represent metric scores so that managers can easily see how their organisation is performing relative to quality goals set for each type of metric. Acting primarily as a proof of concept and prototype, we suggest ways in which real customer needs can be translated into a feasible technical solution. The solution itself visualises metric scores in the form of a tree structure and utilises Fuzzy Logic techniques, XGMML, Web Services and the .NET Framework. Future work is proposed to extend the system from the prototype stage and to overcome a problem with the masking of poor scores

Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data

Accurate understanding of driver behaviour is crucial for future Advanced Driver Assistance Systems (ADAS) and autonomous driving. For user acceptance it is important that ADAS respect individual driving styles and adapt accordingly. Using data collected during a naturalistic driving study carried out at the University of Southampton, we assess existing models of driver acceleration and speed choice during car following and when cornering. We observe that existing models of driver behaviour that specify a preferred inter-vehicle spacing in car-following situations appear to be too prescriptive, with a wide range of acceptable spacings visible in the naturalistic data. Bounds on lateral acceleration during cornering from the literature are visible in the data, but appear to be influenced by the minimum cornering radii specified in design codes for UK roadway geometry. This analysis of existing driver models is used to suggest a small set of parameters that are sufficient to characterise driver behaviour in car-following and curve driving, which may be estimated in real-time by an ADAS to adapt to changing driver behaviour. Finally, we discuss applications to adaptive ADAS with the objectives of improving road safety and promoting eco-driving, and suggest directions for future researc