Modern Downsizing

Author(s):  
Grzegorz Wojtkowiak

The aim of the chapter is to present the concept of downsizing from different points of view: as a strategic option, as a management tool and as a phenomenon. It describes the evolution of the term, its definitions, and different directions of development. A scale and possible outcomes are described on the basis of financial analysis; however it also discusses the role of non-financial aspects. The chapter points out reasons, aims and a wide range of tools that may be used during implementation of downsizing. One of the conclusions of the chapter is to present future research directions aiming at increasing knowledge of managers and providing them with detailed good practices.

Author(s):  
Jenny Chen

There was a famous saying from the celebrated hotelier, “king of hoteliers and hotelier to kings,” Mr. Cesar Ritz, that a good person is priceless (Leng, 2013). Human resources has always played a very important role in hotels. This is because the hotel industry is a labor-intensive industry that requires great contribution and support from human resources to identify and recruit the required staff, train and manage the manpower to fill the various jobs, and retain and develop the talented employees for greater responsibilities or higher positions. This chapter displays the changes of the role of human resources in hotels in China and its significant impact of the changes to the industry. In addition, this chapter also provides its unique points of view in the part of Solutions and Recommendations and in the part of Future Research Directions.


Author(s):  
Marian Tanofsky-Kraff ◽  
Denise E. Wilfley

Interpersonal psychotherapy (IPT) is a focused, time-limited treatment that targets interpersonal problem(s) associated with the onset and/or maintenance of EDs. IPT is supported by substantial empirical evidence documenting the role of interpersonal factors in the onset and maintenance of EDs. IPT is a viable alternative to cognitive behavior therapy for the treatment of bulimia nervosa and binge eating disorder. The effectiveness of IPT for the treatment of anorexia nervosa requires further investigation. The utility of IPT for the prevention of obesity is currently being explored. Future research directions include enhancing the delivery of IPT for EDs, increasing the availability of IPT in routine clinical care settings, exploring IPT adolescent and parent–child adaptations, and developing IPT for the prevention of eating and weight-related problems that may promote full-syndrome EDs or obesity.


Author(s):  
Sven-Erik Ekström ◽  
Paris Vassalos

AbstractIt is known that the generating function f of a sequence of Toeplitz matrices {Tn(f)}n may not describe the asymptotic distribution of the eigenvalues of Tn(f) if f is not real. In this paper, we assume as a working hypothesis that, if the eigenvalues of Tn(f) are real for all n, then they admit an asymptotic expansion of the same type as considered in previous works, where the first function, called the eigenvalue symbol $\mathfrak {f}$ f , appearing in this expansion is real and describes the asymptotic distribution of the eigenvalues of Tn(f). This eigenvalue symbol $\mathfrak {f}$ f is in general not known in closed form. After validating this working hypothesis through a number of numerical experiments, we propose a matrix-less algorithm in order to approximate the eigenvalue distribution function $\mathfrak {f}$ f . The proposed algorithm, which opposed to previous versions, does not need any information about neither f nor $\mathfrak {f}$ f is tested on a wide range of numerical examples; in some cases, we are even able to find the analytical expression of $\mathfrak {f}$ f . Future research directions are outlined at the end of the paper.


2020 ◽  
Vol 51 (6) ◽  
pp. 442-455
Author(s):  
Peng Wang ◽  
Zhengxue Luo ◽  
Zhen Wang

Built upon conservation of resource theory and self-determination theory, this study explores boundary conditions under which family-supportive supervisors (FSSs) influence employee-perceived leader–member exchange (LMX) and work–family enrichment (WFE). Findings from this research reveal that FSSs positively relate to employee perceptions of LMX and WFE. Employees’ collectivistic self-construals moderate the effect of FSSs on LMX but not on WFE. Implications and future research directions are discussed.


2013 ◽  
Vol 40 (8) ◽  
pp. 1434-1437 ◽  
Author(s):  
April W. Armstrong ◽  
Joel M. Gelfand ◽  
Wolf-Henning Boehncke ◽  
Ehrin J. Armstrong

At the 2012 annual meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) in Stockholm, Sweden, several GRAPPA members led a panel discussion on cardiovascular (CV) comorbidities of psoriasis and psoriatic arthritis (PsA). The panelists discussed the role of insulin resistance in the pathophysiology of psoriasis, the possible effect of tumor necrosis factor inhibitors on CV comorbidities, and the effect of 12/23 monoclonal antibodies on CV outcomes. The panelists also addressed how lessons from CV comorbidity research could be applied to other areas of comorbidity research in psoriasis and PsA and identified future research directions in this area.


ExRNA ◽  
2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Fangfang Jin ◽  
Zhigang Guo

Abstract The discovery of small non-coding RNAs, such as miRNA and piRNA, has dramatically changed our understanding of the role RNA plays in organisms. Recent studies show that a novel small non-coding RNA generated from cleavage of tRNA or pre-tRNA, called tRNA-derived small RNA (tsRNA), serves as a new regulator of gene expression. tsRNA has been determined participate in regulating some specific physiological and pathological processes. Although knowledge regarding the biological roles of miRNA and piRNA is expanding, whether tsRNAs play similar roles remains poorly understood. Here, we review the current knowledge regarding the mechanisms of action and biological functions of tsRNAs in intracellular, extracellular and intergenerational inheritance, and highlight the potential application of tsRNAs in human diseases, and present the current problems and future research directions.


Author(s):  
Nasir Saeed ◽  
Ahmed Elzanaty ◽  
Heba Almorad ◽  
Hayssam Dahrouj ◽  
Tareq Y. Al-Naffouri ◽  
...  

<pre><pre>Given the increasing number of space-related applications, research in the emerging space industry is becoming more and more attractive. One compelling area of current space research is the design of miniaturized satellites, known as CubeSats, which are enticing because of their numerous applications and low design-and-deployment cost. </pre><pre>The new paradigm of connected space through CubeSats makes possible a wide range of applications, such as Earth remote sensing, space exploration, and rural connectivity.</pre><pre>CubeSats further provide a complementary connectivity solution to the pervasive Internet of Things (IoT) networks, leading to a globally connected cyber-physical system.</pre><pre>This paper presents a holistic overview of various aspects of CubeSat missions and provides a thorough review of the topic from both academic and industrial perspectives.</pre><pre>We further present recent advances in the area of CubeSat communications, with an emphasis on constellation-and-coverage issues, channel modeling, modulation and coding, and networking.</pre><pre>Finally, we identify several future research directions for CubeSat communications, including Internet of space things, low-power long-range networks, and machine learning for CubeSat resource allocation.</pre></pre>


2020 ◽  
Author(s):  
Xiaojie Guo ◽  
Liang Zhao

Graphs are important data representations for describing objects and their relationships, which appear in a wide diversity of real-world scenarios. As one of a critical problem in this area, graph generation considers learning the distributions of given graphs and generating more novel graphs. Owing to its wide range of applications, generative models for graphs have a rich history, which, however, are traditionally hand-crafted and only capable of modeling a few statistical properties of graphs. Recent advances in deep generative models for graph generation is an important step towards improving the fidelity of generated graphs and paves the way for new kinds of applications. This article provides an extensive overview of the literature in the field of deep generative models for graph generation. Firstly, the formal definition of deep generative models for the graph generation as well as preliminary knowledge is provided. Secondly, two taxonomies of deep generative models for unconditional, and conditional graph generation respectively are proposed; the existing works of each are compared and analyzed. After that, an overview of the evaluation metrics in this specific domain is provided. Finally, the applications that deep graph generation enables are summarized and five promising future research directions are highlighted.


Author(s):  
Ammar Rashid ◽  
William Yu Chung Wang ◽  
Felix B. Tan

In recent years, there has been considerable interest in cloud services in academic literature. Most research in this area has focused on the technical aspects of designing and implementing cloud services, with few studies focusing on understanding the value of cloud services and the processes by which consumer and service providers engage each other to co-create these services. This chapter explains the co-creation processes, and, the role of consumer in the value co-creation process of cloud services. It incorporates extant marketing and information systems literature, industry reports, and practical experience reflections to highlight the significance of cloud services. The drivers of co-creation are explored with the description of co-creation processes and the underlying factors involved in value co-creation of cloud services. The chapter concludes by outlining the opportunities associated with the development of cloud services, noting future research directions and discussing academic and managerial implications.


2011 ◽  
pp. 192-205
Author(s):  
Helena Halas ◽  
Tomaž Klobucar

This chapter explores the influence of pervasive computing on companies and their businesses, with the main stress on business models. The role of business models for companies is presented. Introduction to pervasive computing and a survey of existing e-business models classifications are used as a base for our research. The main characteristics of today’s business models are discussed and a method for evaluating business models characteristics is proposed. We concentrate on characteristics of pervasive computing and their influence on companies’ business processes and business models. The present and future business characteristics and business models are briefly compared, and future research directions on pervasive computing and business models are presented.


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