Search results for "support"
showing 10 items of 2310 documents
Winners or Losers? The Adjustment Strategies of Rural-to-Urban Migrants in Tirana, Albania
2013
This paper explores the micro-level process of adjustment undergone by rural migrants to the city. Rural migrants are expected to fully adjust to the urban lifestyle, setting aside their traditions and culture. However, as the migrant population increases in an urban area, migrants create their own communities with their own lifestyles and values, and thus there is an ongoing debate about whether this process entails the ruralisation of the city or the urbanisation of migrants. While becoming urban and being part of the city is desired, the reality is that joining a migrant community and adjusting to other migrants is more important. According to the resource-based model, migrants need pers…
Contribution of the Economic Crisis to the Risk Increase of Poor Mental Health in a Region of Spain
2018
Previous research suggests that the economic crisis can affect mental health. The purpose of this study was to analyse the association of risk of poor mental health with various socioeconomic, demographic, health, quality of life, and social support variables
Finding socially responsible portfolios close to conventional ones
2015
Abstract An increasing number of investors are interested in sustainable, responsible and impact investment (SRI). However, there is a concern about the possible financial sacrifice associated to this kind of investments. The design of Decision Support Systems assisting socially responsible investors in their investment decisions can contribute to stimulate SRI. In this paper the financial content of a portfolio selection model is discussed in order to justify that it can be integrated into a Decision Support System designed for investors interested in socially responsible investment but initially reluctant to pay a financial cost in exchange for increasing the social responsibility of thei…
A multiple criteria decision model for analyzing and choosing among different development patterns for the Helsinki cargo harbor
1999
Abstract This paper describes a real application of a multicriteria approach to choosing among different options for developing the Helsinki harbor. In addition to the environmental impact assessment procedure, an analysis of the alternatives using the SMAA-method (Stochastic Multiobjective Acceptability Analysis) is carried out. The method applied here has been developed for situations in which the use of decision-makers’ preference information is not possible. Instead, the problem is described by typical weight vectors leading to each solution, taking into account the evident uncertainty embedded in the criteria values.
An upper echelons perspective on information technology business value
2017
This paper argues that information technology (IT) outcomes are more valuable to companies when their top management team (TMT) moves from flirting with IT to marriage. Previous research has demonstrated an association between top management support (TMS) and IT value. We extend the concept of TMS with the imbrication metaphor to define the construct of TMT-IT imbrication, which allows us to account for a tighter and continuous entwining of the TMT and IT to create IT value. Our definition of the TMT-IT imbrication construct embraces four dimensions: involvement, participation, attention, and use. In addition, with the support of upper echelons (UE) theory, we explore certain managerial tra…
Micro-Franchising in the Bottom of the Pyramid Market : Rwanda
2020
This study examines how a mission-driven shared identification can help mitigate the failure of a micro-franchise in Rwanda, a bottom of the pyramid market. A single case study was adopted followin...
Does job design make workers happy?
2019
Using linked employer‐employee data for Finland we examine associations between job design, employee well‐being and job‐related stress. Three key findings stand out. First, in accordance with the theory of Karasek and Karasek and Theorell, job control and supervisory support are positively correlated with employee well‐being and negatively correlated with job‐related stress. Second, as predicted by theory, job demands are positively correlated with job‐related stress. Third, there is no association between job demands and employee well‐being and, contrary to expectations, neither job control nor supervisory support alleviate the negative relationship between job demands and job‐related stre…
Drivers of social commerce usage: a multi-group analysis comparing Facebook and Instagram
2020
Social media are increasingly used as platforms to not only socialise but also to shop for products and services. Social commerce is the new trend in e-commerce that leverages the enhanced consumer-to-consumer interactions to support shopping processes. Based on the concept of social commerce constructs suggested by Nick Hajli, this article investigates the role of social commerce constructs, emotional and informative support, and trust as drivers of social commerce intention. We apply multi-group analysis to validate the drivers of social commerce for two of the most relevant social media platforms: Facebook and Instagram. Based on a sample of 800 social commerce users, our findings reveal…
Barriers to the Development of Regional Competitiveness in the Context of Regional Economies - EU, Latvia, Region Vidzeme Case Study
2020
Innovation potential and the creation of new knowledge, which is considered to be one of the main drivers of economic development, is particularly emphasized in region development [1, 2, 3]. However, in effect regions face significant barriers to the development of innovation and smart specialization. Despite strong institutional support impulses, the current contribution of regions to national competitiveness is debatable. As an example, the study analyses one of the regions of the EU Member State Latvia (Vidzeme), its contribution to national productivity and the main obstacles to the development of the region’s innovations - smart specialization. The results obtained in the context of a …
Autoencoders and Data Fusion Based Hybrid Health Indicator for Detecting Bearing and Stator Winding Faults in Electric Motors
2018
The main objective of a condition monitoring programs is to track the health status of critical components of a machine. In this paper, a hybrid health indicator is proposed to monitor the health status of bearings and stator winding of a motor. The proposed method is based on a feature learning from deep autoencoders and data fusion. The features can be learned by autoencoders using individual current and vibration signals, and then learning features are fused to make final health indicators. The experimental data from a permanent magnet synchronous motor is used to validate the proposed method. Promising results in detecting faults and severities of the stator and bearing faults at differ…