Search results

Describes the need to improve communication between doctors and managers in the NHS, to enable them to work together. Describes an approach to management development based on research findings. Those involved include a group of associates who contribute to management development programmes and initiatives for doctors and managers within Yorkshire.

This paper reports the use of situational analysis as a systems methodology to evaluate the voices of independence change and empowerment in the Stoke-on-Trent (VOICES) partnership project.

Using situational analysis and drawing on a range of secondary data sources, a three-stage conceptual mapping process provided a detailed picture of both the non-linear interlinkage and complexity of the local system that VOICES was working to influence, as well as the processes that shaped the experiences of those who act within the situation.

Data highlighted the systemic challenges facing VOICES customers (e.g. stigma and marginalisation and lack of legal literacy), progress made by VOICES in each of their priority areas and an overarching theme of VOICES promoting equity (rather than equality) to address failure demand in the system of support for people with multiple needs and disadvantage.

The authors present the novel application of situational analysis to demonstrate a substantial impact of VOICES while demonstrating the value of this methodology for complex systems thinking research and evaluation.

This chapter examines the dynamic of state-society interaction during the events of the winter 2013–2014 Ukrainian Maidan Revolution. Using a new dataset, containing responses from the activists of the dissent movement, the study uncovers the “tipping point” at which revolutionaries were much more likely to support violent tactics. The study adds to the scholarly debate on repression-dissent, showing that social interpretation of state repression is essential in affecting social support for political violence. In addition to the theoretical contribution, this article presents the first systematic scholarly account of the repression-dissent dynamic of the 2013–2014 Ukrainian revolution, implementing original empirical and interview data.

This paper aims to present an exploration of possible associations between the Jungian archetypes frequently used in marketing and three well-known products based on artificial intelligence (AI), namely, Sophia, Alexa and Articoolo.

The study conducted emotionalist interviews to gather thick data from 11 participants on how they conceptualize these AI-based products. In the absence of any existing relevant hypotheses, this paper attempts to build theory using a case study approach and qualitative analysis of interview narratives.

Despite the human attributes ascribed to these products, participants were principally concerned with their purpose, efficiency and the degree of trust which they felt could be accorded to the product. Anthropomorphism emerged as significant with participants making some associations with common archetypes traditionally exploited in marketing and this suggests a possible means of enhancing consumer trust in AI products.

Little research has been conducted on the marketing of AI and this study presents a timely identification of some potentially significant issues. As AI is intended to mimic some aspects of human intelligence, the role of the archetype in creating a personality to enhance trust may prove crucial in securing consumer confidence.

This chapter covers two behaviors that greatly affect college students’ mental health and wellbeing: eating and sleeping. The chapter begins with a definition of eating disorders and distinguishes clinically disordered eating from other forms of problematic eating. The chapter describes common eating disorders among college students: anorexia nervosa, bulimia nervosa, avoidant restrictive food intake disorder (ARFID) and binge eating disorder. The chapter then discusses measures of problematic eating among college students, including the SCOFF, the Eating Disorder Inventory and the Eating Concerns subscale of the Counseling Center Assessment of Psychological Symptoms (CCAPS). Next, the chapter discusses the prevalence of problematic eating among college students. Cultural considerations are described, with particular attention paid to gender, sexual orientation and ethnicity. Causes of problematic eating among college students are discussed, and the consequences of problematic eating are explored, from shame to medical complications to death. Treatment options are detailed, as are barriers to seeking professional help. The chapter follows a similar structure in covering healthy and problematic sleep behaviors among college students. In particular, the chapter explores measures of sleep quality, the prevalence of problematic sleep among college students, their causes and consequences, as well as strategies for correcting poor sleep and interventions for promoting healthy sleep habits.

This study examines the effect of various attributes of leadership and teams, modeled as perceived e-leadership and perceived team dynamics on virtual team (VT) performance in a public organization.

Using a survey instrument, data were collected from 184 participants involved in a virtual workplace from one of the largest Canadian public organizations. This study uses PLS-SEM software and quantitative methods.

This research identified that perceived team dynamics, which includes team member behavior, collaboration and support, has a significant medium effect on VT member performance. However, perceived e-leadership, which includes leaders' trust, leader communication/co-ordination and leader behavior, has a significant small effect on VT performance.

This study contribute to literature on VTs and VT's performance specially in public organizations. As the existing literature on employee performance has mainly focused on private organizations, and more so on VTs. However, little is known about VTs in public organizations and specifically about their performance.

Understanding the critical determinants for the adoption of electronic markets (e-markets) is significant for the development of sustainable electronic business. The purpose of this paper is to investigate the critical determinants for the adoption of e-markets in Australian small- and medium-sized enterprises (SMEs) for electronic business.

A comprehensive review of the related studies is conducted. That leads to the development of a conceptual model for exploring the critical determinants for the adoption of e-markets in Australian SMEs. Such a model is then tested and validated using structural equation modelling on the survey data collected, leading to the identification of the critical determinants for e-market adoption in Australian SMEs.

The study reveals that perceived direct benefit, perceived trust, top management support and external pressures are critical for the adoption of e-markets in Australian SMEs. Perceived indirect benefit and organization readiness are insignificant for the adoption of e-markets.

This paper contributes to existing electronic business research by enriching the understanding of the critical determinants for the adoption of e-markets in Australian SMEs. Such a study provides government departments, e-market operators and SMEs with practical guidelines for the better use of e-markets in electronic business.

During thermal laser processes, heat transfer and fluid flow in the melt pool are primary driven by complex physical phenomena that take place at liquid/vapor interface. Hence, the choice and setting of front description methods must be done carefully. Therefore, the purpose of this paper is to investigate to what extent front description methods may bias physical representativeness of numerical models of laser powder bed fusion (LPBF) process at melt pool scale.

Two multiphysical LPBF models are confronted: a Level-Set (LS) front capturing model based on a C++ code and a front tracking model, developed with COMSOL Multiphysics® and based on Arbitrary Lagrangian–Eulerian (ALE) method. To do so, two minimal test cases of increasing complexity are defined. They are simplified to the largest degree, but they integrate multiphysics phenomena that are still relevant to LPBF process.

LS and ALE methods provide very similar descriptions of thermo-hydrodynamic phenomena that occur during LPBF, providing LS interface thickness is correctly calibrated and laser heat source is implemented with a modified continuum surface force formulation. With these calibrations, thermal predictions are identical. However, the velocity field in the LS model is systematically underestimated compared to the ALE approach, but the consequences on the predicted melt pool dimensions are minor.

This study fulfils the need for comprehensive methodology bases for modeling and calibrating multiphysical models of LPBF at melt pool scale. This paper also provides with reference data that may be used by any researcher willing to verify their own numerical method.