To explore the role of elevated feelings of anger and desires to escape (fight/flight), which are experienced as inhibited, blocked, and arrested (i.e., arrested anger and arrested flight/escape ...leading to feelings of entrapment). This descriptive study developed measures of arrested anger and arrested flight and explored these in the context of a recent self-harm event in people presenting to a Hospital's Emergency Department (ED).
Fifty-eight individuals presenting to an ED following an act of self-harm were recruited. Participants completed newly developed measures of arrested flight, arrested anger and anger with self in regard to self-harm, and suicide intent and depression.
Ninety-three percent of participants presented after self-poisoning. The majority (95%) reported having experienced high escape motivation that felt blocked (arrested flight) with 69% reporting feeling angry with someone but unable to express it (arrested anger). For many participants (53.7%), strong desires to escape from current situations and/or to express anger did not diminish immediately after the act.
As with many studies, a select group of participants agreed to take part and we did not keep records of how many refused. There are no other validated measures of arrested escape and arrested anger and so for this study, our short item-focused measures rely on face validity.
Arrested defenses of fight and flight, and self-criticism are common in those who have self-harmed and may continue after acts of self-harm. Many participants revealed that talking about their experiences of escape motivation and blocked anger (using our measures) was helpful to them.
Feelings of entrapment and arrested anger are common in people who self-harmClinicians could benefit from increased awareness and measures of arrested flight and arrested angerDiscussing these concepts and experiences appears to be useful to people who have self-harmedFurther research is needed on how best to help people with such experiences.
Purpose - This study aims to examine the effect intellectual capital (IC) has on firm performance of Australian companies.Design methodology approach - Quantitative data are collected for Australian ...companies listed between 2004 and 2008. IC is measured using Pulic's value added intellectual coefficient (VAIC) and its components (human, structural and capital employed efficiencies (HCE, SCE, CEE)). Direct and moderating relationships between VAIC, HCE, SCE, and CEE and four measures of performance are statistically analysed.Findings - The results suggest that there is a direct relationship between VAIC and performance of Australian publicly listed firms, particularly with CEE and to a lesser extent with HCE. A positive relationship between HCE and SCE in the prior year and performance in the current year is also found. However evidence also suggests the possibility of an alternative moderating relationship between the IC components of HCE and SCE with physical and financial capital (CEE) which impacts on firm performance.Research limitations implications - There are some missing data and some transgression of the assumptions of OLS regression.Originality value - This paper presents the first study of the IC relationship with firm performance in Australia. Inconclusive results from prior studies in developing countries suggested the need for a study from a developed country such as Australia. The paper is also the first to investigate whether IC moderates the relationship between CEE and firm performance.
In this paper, we review the contributions of Alan Wilson to geography and regional science over a period of more than 50 years. Beginning from theoretical insights, mathematical models and spatial ...analytics methods for cities, the research becomes somewhat more applied in the 1980s. The notable impact of this work in a business and commercial setting is in marked contrast to a relative lack of traction in a public policy environment. Reasons for this are explored. In more recent times, the advent of big data has started to generate transformational approaches to geographical problems. We argue that years of accumulated experience from the study of more abstract problems within less well-instrumented systems was a precursor to this. Finally, we argue that through working with a 'family' of modellers, the skills available to meet these challenges is significantly more extensive than could have been the case in the absence of such a programme. It is a legacy which is at once inspiring, durable and hugely significant.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Spatial interaction models have seen extensive use in public and private sector planning over the past 50 years. This paper reviews a number of facets of the application of these models. In ...particular we focus on developments in testing how well the models work in a number of different contexts related to applied spatial analysis and planning. We also speculate on the future of spatial interaction modelling in an era of ‘Big Data’.
The spatial interaction model (SIM) is an important tool for retail location analysis and store revenue estimation, particularly within the grocery sector. However, there are few examples of SIM ...development within the literature that capture the complexities of consumer behavior or discuss model developments and extensions necessary to produce models which can predict store revenues to a high degree of accuracy. This article reports a new disaggregated model with more sophisticated demand terms which reflect different types of retail consumer (by income or social class), with different shopping behaviors in terms of brand choice. We also incorporate seasonal fluctuations in demand driven by tourism, a major source of non‐residential demand, allowing us to calibrate revenue predictions against seasonal sales fluctuations experienced at individual stores. We demonstrate that such disaggregated models need empirical data for calibration purposes, without which model extensions are likely to remain theoretical only. Using data provided by a major grocery retailer, we demonstrate that statistically, spatially, and in terms of revenue estimation, models can be shown to produce extremely good forecasts and predictions concerning store patronage and store revenues, including much more realistic behavior regarding store selection. We also show that it is possible to add a tourist demand layer, which can make considerable forecasting improvements relative to models built only with residential demand.
Purpose
The purpose of this paper is to demonstrate that applied spatial modelling can inform the planning, delivery and evaluation of retail services, offering improvements over traditional retail ...impact assessment (RIA), especially within localities which experience seasonal fluctuations in demand.
Design/methodology/approach
The paper first describes a new theoretically informed tourist-based spatial interaction model (SIM) which has been custom-built and calibrated to capture the dynamics of the grocery sector in Cornwall, UK. It tests the power of the model to predict store performance for stores not used in the original calibration process, using client data for a new store development. The model is operationalised for the evaluation of various retail development schemes, demonstrating its contribution across a full suite of location decision making application areas.
Findings
The paper demonstrates that this highly disaggregate modelling framework can provide considerable insight into the local economic and social impacts of new store developments, rarely addressed in the retail location modelling literature.
Practical implications
Whilst SIMs have been widely used in retail location research by the private sector, the paper shows that such a model can have considerable value for public sector retail planning, a sector which seemed to have abandoned such models from the 1980s onwards, replacing them with often very limited and crude RIA.
Originality/value
The ability to review the forecasting capabilities of a model (termed post-investment review) are very rare in academic research. This paper offers new evidence that SIMs can support the RIA process.
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