819 resultados para Emerging Challenges in offshoring


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METPEX is a 3 year, FP7 project which aims to develop a PanEuropean tool to measure the quality of the passenger's experience of multimodal transport. Initial work has led to the development of a comprehensive set of variables relating to different passenger groups, forms of transport and journey stages. This paper addresses the main challenges in transforming the variables into usable, accessible computer based tools allowing for the real time collection of information, across multiple journey stages in different EU countries. Non-computer based measurement instruments will be used to gather information from those who may not have or be familiar with mobile technology. Smartphone-based measurement instruments will also be used, hosted in two applications. The mobile applications need to be easy to use, configurable and adaptable according to the context of use. They should also be inherently interesting and rewarding for the participant, whilst allowing for the collection of high quality, valid and reliable data from all journey types and stages (from planning, through to entry into and egress from different transport modes, travel on public and personal vehicles and support of active forms of transport (e.g. cycling and walking). During all phases of the data collection and processing, the privacy of the participant is highly regarded and is ensured. © 2014 Springer International Publishing.

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Continuous progress in optical communication technology and corresponding increasing data rates in core fiber communication systems are stimulated by the evergrowing capacity demand due to constantly emerging new bandwidth-hungry services like cloud computing, ultra-high-definition video streams, etc. This demand is pushing the required capacity of optical communication lines close to the theoretical limit of a standard single-mode fiber, which is imposed by Kerr nonlinearity [1–4]. In recent years, there have been extensive efforts in mitigating the detrimental impact of fiber nonlinearity on signal transmission, through various compensation techniques. However, there are still many challenges in applying these methods, because a majority of technologies utilized in the inherently nonlinear fiber communication systems had been originally developed for linear communication channels. Thereby, the application of ”linear techniques” in a fiber communication systems is inevitably limited by the nonlinear properties of the fiber medium. The quest for the optimal design of a nonlinear transmission channels, development of nonlinear communication technqiues and the usage of nonlinearity in a“constructive” way have occupied researchers for quite a long time.

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In this chapter, we discuss performance management systems (PMSs) and high performance work systems (HPWSs) in emerging economies. We start by discussing PMSs, with specific emphasis on PMSs in global organizations. We follow this up with an introduction of HPWSs, and then discuss PMSs and HPWSs in emerging economies. While the list of emerging economies keeps changing, and is rather long, as one might expect, in this chapter we have concentrated on five key emerging economies – China, India, Mexico, South Korea, and Turkey. Performance management is the process through which organizations set goals, determine standards, assign and evaluate work, coach and give feedback, and distribute rewards (Fletcher, 2001). In this connection, organizations all over the world face the challenge of how best to manage performance, including finding ways to motivate employees to sustain high levels of performance. In other words, organizations must develop and implement PMSs that are appropriate for their environment in such a way that high levels of performance can be achieved and sustained over time (DeNisi, Varma and Budhwar, 2008). While all organizations need to address these issues, the way a firm decides to go about addressing these issues is dependent on its location and context. In other words, differences in local norms, culture, law, and technology, make it critical that organizations develop and/or adapt techniques, policies and practices that are appropriate to the setting (see for example, Hofstede, 1993).

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In many ways the emerging markets represent something of a new frontier for academics and practitioners alike, or as one author puts it, ‘a significant topic of interest for a multitude of constituencies’ (Alkire, 2014: 334). The very term itself ‘emerging markets’ is something of a portmanteau one built on a series of layered insights garnered from several academic fields and multiple levels of analysis. Originally coined as a term in the 1980s, albeit with several earlier linked terminologies, this is an evolving and diverse literature. Inherent in its diversity lies a whole series of opportunities, encompassing the purely theoretical through to the methodological and the analytical. Capturing the essence of this in his Editorial in the inaugural edition of The International Journal of Emerging Markets, Akbar (2006) noted that from an academic perspective the emerging markets as a context for the creation and execution of a sustainable research agenda represent ‘a heterogeneous group of economies and societies’ and an ‘important testing ground for our existing theories, models and concepts of business and management’ affording those who focus on them as a research location the opportunity for ‘the development of new theoretical contributions in the field’. In this volume, we have sought to bring some systematics to this evolving literature dedicated to charting HRM in these emerging markets.

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INTRODUCTION: The inappropriate use of antipsychotics in people with dementia for behaviour that challenges is associated with an estimated 1800 deaths annually. However, solely focusing on antipsychotics may transfer prescribing to other equally dangerous psychotropics. Little is known about the role of pharmacists in the management of psychotropics used to treat behaviours that challenge. This research aims to determine whether it is feasible to implement and measure the effectiveness of a combined pharmacy-health psychology intervention incorporating a medication review and staff training package to limit the prescription of psychotropics to manage behaviour that challenges in care home residents with dementia. METHODS/ANALYSIS: 6 care homes within the West Midlands will be recruited. People with dementia receiving medication for behaviour that challenges, or their personal consultee, will be approached regarding participation. Medication used to treat behaviour that challenges will be reviewed by the pharmacist, in collaboration with the general practitioner (GP), person with dementia and carer. The behavioural intervention consists of a training package for care home staff and GPs promoting person-centred care and treating behaviours that challenge as an expression of unmet need. The primary outcome measure is the Neuropsychiatric Inventory-Nursing Home version (NPI-NH). Other outcomes include quality of life (EQ-5D and DEMQoL), cognition (sMMSE), health economic (CSRI) and prescribed medication including whether recommendations were implemented. Outcome data will be collected at 6 weeks, and 3 and 6 months. Pretraining and post-training interviews will explore stakeholders' expectations and experiences of the intervention. Data will be used to estimate the sample size for a definitive study. ETHICS/DISSEMINATION: The project has received a favourable opinion from the East Midlands REC (15/EM/3014). If potential participants lack capacity, a personal consultee will be consulted regarding participation in line with the Mental Capacity Act. Results will be published in peer-reviewed journals and presented at conferences.

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The popularity of loyalty programs worldwide shows that this is one of the most efficient marketing tools in highly competitive markets to retain customers. The saturation of loyalty schemes themselves can lead to a fierce competition between firms to gain wider penetration for their cards. The experience of the customers regarding adoption of loyalty programs can affect their attitude towards the different attributes of the programs. We found that more experienced customers evaluate the importance of the soft attributes of the loyalty schemes higher.

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Private label branding strategies differ to that of the manufacturer. The study aims to identify optimal private label branding strategies for (a) utilitarian products and (b) hedonistic products, considering the special factors reflected in consumer behavior related to private labels in Hungary. The issue of House of Brands and Branded House strategies are discussed and evaluated in the light of retail business models. Focus group interviews and factor analysis of the survey found differences in branding strategies preferred by consumers for the two product categories. The study also outlines a strong trend in possible private label development based on consumer’s changing attitude in favor of national products.

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In this paper we highlight how the use of internet has changed from 2004 to 2009 among Hungarian companies, how their expectations about the role of e-commerce as a competitive advantage has evolved and whether perceived benefits of e-commerce show a shift from 2004 to 2009.We investigate the role of environmental factors and market orientation as two relevant types of critical success factors proposed by the management literature and measure their impacts on Internet usage, expectations about e-commerce and perceived benefits of ecommerce. Our findings suggest that market orientation has a positive effect on Internet usage and perceived benefits of e-commerce. Internet usage and expectations are dependent on the vulnerability of the company to its macroeconomic environment. The positive outcomes of joining the EU seem to influence whether a company is able to exploit e-commerce benefits.

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Understanding online price acceptance and its determining factors can be essential if the companies try to manage different type of channels. The paper aimed to reveal the role of enduring involvement in price acceptance in a multichannel (online and offline) context. The study revealed that the hedonic value of shopping can increase the negative intention of price acceptance in the online channel, but also explored that for the segment without shopping motivations a similar price level can be applied both in the online and in the offline environment.

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China’s long term development path has always been strongly infl uenced by its own ways of innovation and invention. Though around one thousand years ago China had been undoubtedly the most advanced country in the world, by the 17th century Europe had surpassed it. And when the PRC was founded in 1949, it was only a poor, severely underdeveloped country without adequate, modern technologies. In the last three decades, however, the country has achieved remarkable success in economic terms: China has become the second largest economy in the world, and its new economic, fi nancial and trading power has made it clear that the dominance of the USA and Europe has passed. At the same time China is still lagging behind technologically. Though there are huge efforts to narrow the gap, it is extremely diffi cult to build up a new technological and innovation system without deep, organic foundations. China, however, has rich experience of innovations from the past, and the question is whether it is possible to use them to formulate a new technology policy. In this paper I will try to examine China’s technology system, its functioning and its prospects, while comparing it with the traditional ways of innovations in China. I would like to show that current technology policy is, at least partly, based upon traditional values, and that high tech research, R&D, and state of the art innovations can be reconcilable with several thousand-year-old approaches.

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The purpose of this study was to gain a better understanding of the foreign direct investment location decision making process through the examination of non-Western investors and their investment strategies in non-traditional markets. This was accomplished through in-depth personal interviews with 50 Overseas Chinese business owners and executives in several different industries from Hong Kong, Singapore, Taiwan, Malaysia, and Thailand about 97 separate investment projects in Southeast and East Asia, including The Philippines, Malaysia, Hong Kong, Singapore, Vietnam, India, Pakistan, South Korea, Australia, Indonesia, Cambodia, Thailand, Burma, Taiwan, and Mainland China.^ Traditional factors utilized in Western models of the foreign direct investment decision making process are reviewed, as well as literature on Asian management systems and the current state of business practices in emerging countries of Southeast and East Asia. Because of the lack of institutionalization in these markets and the strong influences of Confucian and patriarchal value systems on the Overseas Chinese, it was suspected that while some aspects of Western rational economic models of foreign direct investment are utilized, these models are insufficient in this context, and thus are not fully generalizable to the unique conditions of the Overseas Chinese business network in the region without further modification.^ Thus, other factors based on a Confucian value system need to be integrated into these models. Results from the analysis of structured interviews suggest Overseas Chinese businesses rely more heavily on their network and traditional Confucian values than rational economic factors when making their foreign direct investment location decisions in emerging countries in Asia. This effect is moderated by the firm's industry and the age of the firm's owners. ^

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With hundreds of millions of users reporting locations and embracing mobile technologies, Location Based Services (LBSs) are raising new challenges. In this dissertation, we address three emerging problems in location services, where geolocation data plays a central role. First, to handle the unprecedented growth of generated geolocation data, existing location services rely on geospatial database systems. However, their inability to leverage combined geographical and textual information in analytical queries (e.g. spatial similarity joins) remains an open problem. To address this, we introduce SpsJoin, a framework for computing spatial set-similarity joins. SpsJoin handles combined similarity queries that involve textual and spatial constraints simultaneously. LBSs use this system to tackle different types of problems, such as deduplication, geolocation enhancement and record linkage. We define the spatial set-similarity join problem in a general case and propose an algorithm for its efficient computation. Our solution utilizes parallel computing with MapReduce to handle scalability issues in large geospatial databases. Second, applications that use geolocation data are seldom concerned with ensuring the privacy of participating users. To motivate participation and address privacy concerns, we propose iSafe, a privacy preserving algorithm for computing safety snapshots of co-located mobile devices as well as geosocial network users. iSafe combines geolocation data extracted from crime datasets and geosocial networks such as Yelp. In order to enhance iSafe's ability to compute safety recommendations, even when crime information is incomplete or sparse, we need to identify relationships between Yelp venues and crime indices at their locations. To achieve this, we use SpsJoin on two datasets (Yelp venues and geolocated businesses) to find venues that have not been reviewed and to further compute the crime indices of their locations. Our results show a statistically significant dependence between location crime indices and Yelp features. Third, review centered LBSs (e.g., Yelp) are increasingly becoming targets of malicious campaigns that aim to bias the public image of represented businesses. Although Yelp actively attempts to detect and filter fraudulent reviews, our experiments showed that Yelp is still vulnerable. Fraudulent LBS information also impacts the ability of iSafe to provide correct safety values. We take steps toward addressing this problem by proposing SpiDeR, an algorithm that takes advantage of the richness of information available in Yelp to detect abnormal review patterns. We propose a fake venue detection solution that applies SpsJoin on Yelp and U.S. housing datasets. We validate the proposed solutions using ground truth data extracted by our experiments and reviews filtered by Yelp.

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Postprint

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The domestication of plants and animals marks one of the most significant transitions in human, and indeed global, history. Traditionally, study of the domestication process was the exclusive domain of archaeologists and agricultural scientists; today it is an increasingly multidisciplinary enterprise that has come to involve the skills of evolutionary biologists and geneticists. Although the application of new information sources and methodologies has dramatically transformed our ability to study and understand domestication, it has also generated increasingly large and complex datasets, the interpretation of which is not straightforward. In particular, challenges of equifinality, evolutionary variance, and emergence of unexpected or counter-intuitive patterns all face researchers attempting to infer past processes directly from patterns in data. We argue that explicit modeling approaches, drawing upon emerging methodologies in statistics and population genetics, provide a powerful means of addressing these limitations. Modeling also offers an approach to analyzing datasets that avoids conclusions steered by implicit biases, and makes possible the formal integration of different data types. Here we outline some of the modeling approaches most relevant to current problems in domestication research, and demonstrate the ways in which simulation modeling is beginning to reshape our understanding of the domestication process.

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This paper presents the "state of the art" and some of the main issues discussed in relation to the topic of transnational migration and reproductive work in southern Europe. We start doing a genealogy of the complex theoretical development leading to the consolidation of the research program, linking consideration of gender with transnational migration and transformation of work and ways of survival, thus making the production aspects as reproductive, in a context of globalization. The analysis of the process of multiscale reconfiguration of social reproduction and care, with particular attention to its present global dimension is presented, pointing to the turning point of this line of research that would have taken place with the beginning of this century, with the rise notions such as "global care chains" (Hochschild, 2001), or "care drain" (Ehrenreich and Hochschild, 2013). Also, the role of this new agency, now composed in many cases women who migrate to other countries or continents, precisely to address these reproductive activities, is recognized. Finally, reference is made to some of the new conceptual and theoretical developments in this area.