مشخصات مقاله
ترجمه عنوان مقاله هرس مبتنی بر آنتروپی برای یادگیری شبکه های بیزی با استفاده از BIC
عنوان انگلیسی مقاله Entropy-based pruning for learning Bayesian networks using BIC
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۱۴ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
Short communication
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus – master journals – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۳٫۰۳۴ در سال ۲۰۱۷
شاخص H_index ۱۲۹ در سال ۲۰۱۸
شاخص SJR ۰٫۸۸ در سال ۲۰۱۸
رشته های مرتبط مهندسی کامپیوتر، فناوری اطلاعات
گرایش های مرتبط شبکه های کامپیوتری
نوع ارائه مقاله
ژورنال
مجله / کنفرانس هوش مصنوعی – Artificial Intelligence
دانشگاه Utrecht University – The Netherlands
کلمات کلیدی یادگیری ساختاری؛ شبکه های بیزی؛ BIC؛ هرس مجموعه
کلمات کلیدی انگلیسی Structure learning; Bayesian networks; BIC; Parent set pruning
شناسه دیجیتال – doi
https://doi.org/10.1016/j.artint.2018.04.002
کد محصول E10167
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
Keywords
۱ Introduction
۲ Structure learning of Bayesian networks
۳ Pruning rules
۴ Novel pruning rules
۵ Experiments
۶ Conclusions
Acknowledgement
References

بخشی از متن مقاله:
Abstract

For decomposable score-based structure learning of Bayesian networks, existing approaches first compute a collection of candidate parent sets for each variable and then optimize over this collection by choosing one parent set for each variable without creating directed cycles while maximizing the total score. We target the task of constructing the collection of candidate parent sets when the score of choice is the Bayesian Information Criterion (BIC). We provide new non-trivial results that can be used to prune the search space of candidate parent sets of each node. We analyze how these new results relate to previous ideas in the literature both theoretically and empirically. We show in experiments with UCI data sets that gains can be significant. Since the new pruning rules are easy to implement and have low computational costs, they can be promptly integrated into all state-of-the-art methods for structure learning of Bayesian networks.

Introduction

A Bayesian network [1] is a well-known probabilistic graphical model with applications in a variety of fields. It is composed of (i) an acyclic directed graph (DAG) where each node is associated to a random variable and arcs represent dependencies between the variables entailing the Markov condition: every variable is conditionally independent of its non-descendant variables given its parents; and (ii) a set of conditional probability mass functions defined for each variable given its parents in the graph. Their graphical nature makes Bayesian networks excellent models for representing the complex probabilistic relationships existing in many real problems ranging from bioinformatics to law, from image processing to economic risk analysis. Learning the structure (that is, the graph) of a Bayesian network from complete data is an NP-hard task [2]. We are interested in score-based learning, namely finding the structure which maximizes a score that depends on the data [3]. A typical first step of methods for this purpose is to build a list of suitable candidate parent sets for each one of the n variables of the domain. Later an optimization is run to find one element from each such list in a way that maximizes the total score and does not create directed cycles. This work concerns pruning ideas in order to build those lists. The problem is unlikely to admit a polynomial-time (in n) algorithm, since it is proven to be LOGSNP-hard [4]. Because of that, usually one forces a maximum in-degree (number of parents per node) k and then simply computes the score of all parent sets that contain up to k parents. A worth-mention exception is the greedy search of the K2 algorithm [5]. A high in-degree implies a large search space for the optimization and thus increases the possibility of finding better structures. On the other hand, it requires higher computational time, since there are Θ(nk) candidate parent sets for a bound of k if an exhaustive search is performed. Our contribution is to provide new rules for pruning sub-optimal parent sets when dealing with the Bayesian Information Criterion score [6], one of the most used score functions in the literature. We devise new theoretical bounds that can be used in conjunction with currently published ones [7]. The new results provide tighter bounds on the maximum number of parents of each variable in the optimal graph, as well as new pruning techniques that can be used to skip large portions of the search space without any loss of optimality. Moreover, the bounds can be efficiently computed and are easy to implement, so they can be promptly integrated into existing software for learning Bayesian networks and imply immediate computational gains. The paper is divided as follows. Section 2 presents the problem, some background and notation. Section 3 describes the existing results in the literature, and Section 4 contains the theoretical developments for the new bounds and pruning rules. Section 5 shows empirical results comparing the new results against previous ones, and finally some conclusions are given in Section 6.

نوشته مقاله انگلیسی رایگان در مورد هرس مبتنی بر آنتروپی برای یادگیری شبکه های بیزی – الزویر ۲۰۱۸ اولین بار در آی اس آی دانلود ISIDL. پدیدار شد.


 

مشخصات مقاله
ترجمه عنوان مقاله شبکه عصبی مرکزی عمیق برای شناسایی خودکار کشف و تشخیص تشنج با استفاده از سیگنال EEG
عنوان انگلیسی مقاله Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۲۵ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus – master journals – JCR – MedLine
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۲٫۱۱۵ در سال ۲۰۱۷
شاخص H_index ۶۸ در سال ۲۰۱۸
شاخص SJR ۰٫۵۹۱ در سال ۲۰۱۸
رشته های مرتبط پزشکی، مهندسی کامپیوتر، فناوری اطلاعات
گرایش های مرتبط مغز و اعصاب، هوش مصنوعی، شبکه های کامپیوتری
نوع ارائه مقاله
ژورنال
مجله / کنفرانس کامپیوترها در زیست شناسی و پزشکی – Computers in Biology and Medicine
دانشگاه Department of Electronics and Computer Engineering – Singapore
کلمات کلیدی صرع، شبکه عصبی کانولوشن، سیگنال های آنسفالوگرام، یادگیری عمیق، تشنج
کلمات کلیدی انگلیسی epilepsy, convolutional neural network, encephalogram signals, deep learning, seizure
شناسه دیجیتال – doi
https://doi.org/10.1016/j.compbiomed.2017.09.017
کد محصول E10168
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Highlights
Abstract
Graphical abstract
Keywords
۱ Introduction
۲ Data
۳ Methodology
۴ Results
۵ Discussion
۶ Conclusion
Conflict of interest
Acknowledgements
References

بخشی از متن مقاله:
ABSTRACT

An encephalogram (EEG) is a commonly used ancillary test to aide in the diagnosis of epilepsy. The EEG signal contains information about the electrical activity of the brain. Traditionally, neurologists employ direct visual inspection to identify epileptiform abnormalities. This technique can be time-consuming, limited by technical artifact, provides variable results secondary to reader expertise level, and is limited in identifying abnormalities. Therefore, it is essential to develop a computer-aided diagnosis (CAD) system to automatically distinguish the class of these EEG signals using machine learning techniques. This is the first study to employ the convolutional neural network (CNN) for analysis of EEG signals. In this work, a 13-layer deep convolutional neural network (CNN) algorithm is implemented to detect normal, preictal, and seizure classes. The proposed technique achieved an accuracy, specificity, and sensitivity of 88.67%, 90.00% and 95.00%, respectively.

INTRODUCTION

According to the World Health Organization (WHO), nearly 50 million people suffer from epilepsy worldwide [1]. It is estimated that 2.4 million people are diagnosed with epilepsy annually [1]. Seizures are due to the uncontrolled electrical discharges in a group of neurons. [2, 3]. The excessive electrical discharges result in the disruption of brain function. Epilepsy is diagnosed when there is recurrence of at least two unprovoked seizures. It can affect anyone at any age [4]. A timely and accurate diagnosis of epilepsy is essential for patients in order to initiate anti-epileptic drug therapy and subsequently reduce the risk of future seizures and seizurerelated complications [5]. Currently, the diagnosis of epilepsy is made by obtaining a detailed history, performing a neurological exam, and ancillary testing such as neuro-imaging and EEG. The EEG signals can identify inter-ictal (between seizures) and ictal (during seizure) epileptiform abnormalities. Figure 1 shows a graphical representation of the electrical activity in the brain of healthy subjects and seizure patients. Typically, neurons communicate through electrical signals. Therefore, in a regular brain activity, these electrical signals are normally regulated [3] (see the normal activity in Figure 1). However, during seizure, there is an abnormally increased hypersynchronous electrical activity of epileptogenic neural network. This activity may remain localized to one part of the brain, or spread to the entire brain. In either scenario, an individual may experience a clinical seizure (see the seizure activity in Figure 1) [3]. Neurologists scrutinize the EEG via direct visual inspection to investigate for epileptiform abnormalities that may provide valuable information on the type and etiology of a patient’s epilepsy. However, interpretation of the EEG signals by visual assessment is time-consuming particularly with the increased use of out-patient ambulatory EEG’s and in-patient continuous video EEG recordings, where there are hours or days worth of EEG data that needs to be reviewed manually [6]. The majority of EEG software includes some form of automated seizuredetection, however, due to the poor sensitivity and specificity of the pre-determined seizure detection algorithms, the current forms of automated seizure detection are rarely used in clinical practice. In addition, the inherent nature of visual inspection results in varying clinical interpretations based on the EEG reader’s level of expertise in electroencephalography. Complicating matters, the quality of the study may be confounded by interfering artifactual signal limiting the reader’s ability to accurately identify abnormalities. Moreover, the low yield of routine out-patient studies poses another problem. A patient with epilepsy can go for an outpatient EEG and the study may be completely normal. This is because the brains of patients with epilepsy are generally not continually firing off epileptic discharges.

نوشته مقاله انگلیسی رایگان در مورد شبکه عصبی مرکزی عمیق برای تشخیص تشنج – الزویر ۲۰۱۸ اولین بار در آی اس آی دانلود ISIDL. پدیدار شد.


 

مشخصات مقاله
ترجمه عنوان مقاله قطع برق و عملکرد شرکت در کشورهای جنوب صحرای آفریقا
عنوان انگلیسی مقاله Power outages and firm performance in Sub-Saharan Africa
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۳۰ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus – master journals – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۲٫۲۰۵ در سال ۲۰۱۷
شاخص H_index ۱۱۵ در سال ۲۰۱۸
شاخص SJR ۳٫۰۶۶ در سال ۲۰۱۸
رشته های مرتبط اقتصاد و مدیریت
گرایش های مرتبط اقتصاد انرژی و مدیریت عملکرد
نوع ارائه مقاله
ژورنال
مجله / کنفرانس مجله اقتصاد توسعه – Journal of Development Economics
دانشگاه  University of Birmingham – UK
کلمات کلیدی شرکت ها، نیروی برقابی، آفریقا، مدل سازی جریان رودخانه، قطع برق
کلمات کلیدی انگلیسی Firms, hydropower, Africa, river-flow modelling, power outages.
شناسه دیجیتال – doi
https://doi.org/10.1016/j.jdeveco.2018.05.003
کد محصول E10134
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Highlights
Abstract
Keywords
JEL classification
۱ Introduction
۲ Firm data
۳ River-flow modelling and the construction of our instrumental variable
۴ Econometric methodology
۵ Results
۶ Conclusions
Appendix A. Supplementary data
References

بخشی از متن مقاله:
Abstract

In this paper we assess the extent to which power outages affect the sales of firms across different African economies. We address the potential endogeneity concerns endemic in much of the existing literature by constructing an instrument for power outages based on the varying share of electricity produced by hydro-power as a result of variation in the local climate conditions. Using firm-level data for 14 countries from the World Bank Enterprise Surveys, we find evidence of a negative relationship between an unreliable electricity supply and firms’ sales, with a stronger effect for firms that do not own a generator. We find that reducing average outage levels to those of South Africa would increase overall sales of firms in Sub-Saharan Africa by 85.1%, rising to 117.4% for firms without a generator.

Introduction

The prospects for the continued development of many African economies are significantly better today than they were at the beginning of the century. The gross domestic product (GDP) of the region has doubled since 2000 with an average growth rate for the period 2008-2015 of around 5%. However, a number of hurdles will need to be overcome if Africa is to continue to develop at this rate. One particular concern is the relatively poor state of the electricity network which causes considerable disruption to the power supply of many of Africa’s largest cities as a results of generation, transmission and distribution losses. The overall cost of such disruption across sub-Saharan Africa (SSA) is estimated to be as much as 2.1% of GDP with total sales of African firms estimated to be 4.9% lower than they would be if electricity supplies were dependable (Eberhard et al. 2011 and IEA 2014). Not surprisingly, firms have identified the unreliability of the electricity supply as one of their main obstacles to expansion. As a result the last two decades have seen an increase in the demand for relatively expensive back-up electricity generation to the extent that firm-owned electricity generators now represent a significant share of the installed capacity in all SSA regions. Since such generators are expensive to operate and, for many SSA firms, are prohibitively expensive to purchase, power outages have the potential to impose significant costs on firms whether or not they own generators. It is therefore important for academics and policymakers to gain a greater understanding of the relationship between the reliability of power supplies and firm performance. A major concern with previous studies of the impact of electricity outages on firm performance is how to deal with potential endogeneity problems that arise when power outages are used as a determinant of firm performance. Endogeneity may occur if governments deliberately target investment in energy infrastructure close to large, high performing firms in order to support their operations. Similarly, government policies may simultaneously affect firm performance and outage levels. For example, government investment in infrastructure more generally (roads and rail) may improve the reliability of the electricity supply (power lines can then be more easily fixed) but should also help firms to get products to market more quickly.1 The contribution of this paper is to quantity the impact of power outages on the total sales of manufacturing firms in SSA taking endogeneity concerns into account by constructing an instrument that is correlated with the incidence of power outages but not with firms’ performance. The construction of our instrument relies of the availability of water for electricity generation which varies across hydropower plants and across countries. Put simply, everything else equal, a decrease in the streamflow to a river that serves a hydropower plant will lead to a reduction in the amount of electricity produced by that plant which in turn will increase the incidence of power outages in areas served by that plant.2 However, this reduction in stream flow should not have any effect on the demand for electricity from any given country. Our choice of instrument is motivated by the observation that hydropower plays a prominent role in the portfolio of generation capacity throughout SSA. For example, hydropower accounts for more than 75% of installed capacity in Burundi, Malawi, Mozambique, Uganda, Lesotho, DRC and Zambia (and for more than 90% in the last three). By combining our instrument, derived from the Geospatial Streamflow Model (GeoSFM) for the whole of Africa, with the World Bank firm level survey (WBES) we are able to investigate the impact of power outages on 14 African countries covering the period 2005 to 2013.

نوشته مقاله انگلیسی رایگان در مورد قطع برق و عملکرد شرکت در کشورهای جنوب صحرای آفریقا – الزویر ۲۰۱۸ اولین بار در آی اس آی دانلود ISIDL. پدیدار شد.


 

مشخصات مقاله
ترجمه عنوان مقاله روانشناسی چگونه می تواند تحقیقات فاجعه را گزارش کند؟
عنوان انگلیسی مقاله How can Psychology inform disaster research?
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۸ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
فرمت مقاله انگلیسی  PDF
رشته های مرتبط روانشناسی
نوع ارائه مقاله
کنفرانس
مجله / کنفرانس مجله مهندسی پروسیدیا – Procedia Engineering
دانشگاه School of Psychology – University of Central Lancashire – UK
کلمات کلیدی مدیریت بحران؛ روانشناسی؛ تهی سازی؛ عوامل انسانی؛ فاجعه؛ آمادگی انعطاف پذیری
کلمات کلیدی انگلیسی disaster management; psychology; evacuation; human factors; disaster; preparedness; resilience#
شناسه دیجیتال – doi
https://doi.org/10.1016/j.proeng.2018.01.140
کد محصول E10085
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
۱٫ Introduction
۲٫ Study One
۳٫ Study 2
۴٫ Study Three
۵٫ Study Four
۶٫ Conclusions
References

بخشی از متن مقاله:
Abstract

This paper will set out our current understanding of how psychology can help us to understand and influence preparation for, and responses to disaster. Using four primary research studies, this paper will outline how psychology can inform our knowledge of all stages of a disaster (preparedness, immediate response and long-term consequences). The first study used a questionnaire design to examine factors that influence evacuation behaviours. The second and third studies explored physiological and psychological responses to simulated disaster training. The fourth study explored the consequences of trauma exposure focusing specifically on predictors of post-traumatic stress disorder and post-traumatic growth. The results show that psychology can play a role in our understanding of human behaviour during a disaster. Specifically, study one shows how psychology can inform disaster preparation by identifying barriers to evacuation. The second and third studies show how psychology can help us to explore and predict human behaviour during a disaster. Finally, the fourth study highlights how psychology can help us to understand the longer-term impact of exposure to traumatic events. Overall, the results of these studies show that psychological knowledge can predict and positively influence human behaviour in response to disasters.

Introduction

It is often thought that psychologists only have a role after a disaster has taken place, working to support victims and emergency workers. However, psychologists can make a positive contribution in helping people prepare for, and respond to, disaster situations. It is clear that preparing effectively for a disaster can increase your chances of survival. [1] What is currently unclear is why some people do not engage in disaster preparedness. For example, during the Mount St. Helens volcanic eruptions in 1980 some residents living next to the volcano lost their lives as they refused to evacuate. [2] Understanding why some people refuse to evacuate could help to save lives as interventions could be put in place to overcome identified barriers. For example, in the Western world it has been suggested that people may fail to evacuate if they are unable to keep their pet(s) safe [3] and that evacuation is more likely if provisions are made for pets during disasters. [4] Therefore, the first study in this paper will explore the impact of pet ownership on evacuation behaviours. Psychological research can also help us to understand why during a disaster people can behave in ways that reduce, rather than increase, their survival chances. For example, in fire emergencies people can suffer cognitive failures and so make poor decisions, such as returning into the fire to collect personal items. [5] Psychological research suggests people in disasters show impaired cognition as complex decisions need to be made when time is limited and emotions are high. [6] However, less is known about the impact of situational factors and individual differences on behaviours during an emergency. In order to explore situational factors that can impact on behaviour during a disaster Study Two, using a simulated fire search and rescue mission, will investigate the impact of social support on self-report, and a physiological marker (cortisol), of stress. Previously, social support has been shown to reduce stress responses in people facing acutely stressful situations. [7] However, it has also been suggested that undergoing a stress experience in front of other people can lead a greater stress response if people fear a negative social evaluation. [8] Therefore, the second study explored whether social support mediates stress responses to a simulated fire emergency. To explore the impact of individual differences Study Three uses a simulated helicopter crash over water to explore the impact of a neurotic personality on cognitive processing under pressure. Neuroticism is characterised by anxiety, negative mood and distress proneness [9] and highly neurotic people have been found to cope poorly in acutely stressful situations. [10] Therefore, Study Three will investigate whether neurotic individuals are more likely to exhibit poorer cognitive performance during a simulated helicopter emergency.

نوشته مقاله انگلیسی رایگان در مورد روانشناسی چگونه می تواند تحقیقات فاجعه را گزارش کند؟ – الزویر ۲۰۱۸ اولین بار در آی اس آی دانلود ISIDL. پدیدار شد.


 

مشخصات مقاله
ترجمه عنوان مقاله عملکرد مطلوب کنترل ساختاری با دمپر اصطکاکی
عنوان انگلیسی مقاله Optimum performance of structural control with friction dampers
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۹ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus – master journals – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۲٫۷۵۵ در سال ۲۰۱۷
شاخص H_index ۱۰۴ در سال ۲۰۱۸
شاخص SJR ۱٫۶۹ در سال ۲۰۱۸
رشته های مرتبط مهندسی عمران
گرایش های مرتبط سازه، زلزله
نوع ارائه مقاله
ژورنال
مجله / کنفرانس سازه های مهندسی – Engineering Structures
دانشگاه Department of Structural Engineering – University of California – United States
کلمات کلیدی دمپر اصطکاکی، کنترل انفعالی، کنترل نیمه هادی، کنترل بهینه، تکمیل لرزه ای
کلمات کلیدی انگلیسی Friction damper, Passive control, Semiactive control, Optimum control, Seismic retrofit
شناسه دیجیتال – doi
https://doi.org/10.1016/j.engstruct.2018.06.017
کد محصول E10054
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Highlights
Abstract
Keywords
۲۰۱۰ MSC
۱ Introduction
۲ Description of semiactive control algorithm
۳ Reference frames
۴ Performance of semiactive system
۵ Conclusions
Acknowledgements
Supplementary material
Research Data
References

بخشی از متن مقاله:
ABSTRACT

Friction-based structural control is an available strategy for reducing the seismic response of buildings. The friction dampers in such systems can be operated using passive and semiactive control. Passive dampers with constant, pre-defined capacity are effective and simple, but their adaptability to a broad range of frequency excitations is limited and their optimal configuration is complex. Semiactive control provides a means to vary the dampers’ capacity to their optimum levels in real-time, but time delays in the control action may affect their performance. In this investigation, a passive system is initially introduced in a multi-storey steel frame to identify a threshold of optimum control force demand related to the limits of the building’s elastic response. A new semiactive algorithm is then introduced to adjust the dampers’ capacity based on the current deformation state across the building. From simulations of the non-linear response of the frame, the semiactive system reduced the structural response to levels similar to the optimum passive control, with more uniform distributions of storey drift. The control system had optimum performance when a range of time delays was included to simulate different regulator mechanisms.

Introduction

A mechanism for dissipation of the seismic energy exerted in buildings during strong earthquakes is through damage at specific locations in the structure. The damage, in the case of moment resistant frames, develops in the form of plastic hinges at the ends of beam elements. This may induce degradation of the structural resistance, with associated costs of repair and aesthetic degradation. As an alternative mechanism, passive and semiactive control systems are of particular interest due to their high energy dissipation capability. By using such systems, the dissipative capacity of the structure is increased, without modifying its original design strength. An extensive description of control systems can be found in Housner et al. [1]. Symans et al. [2] give a good treatment of passive control and its applications, and Parulekar and Reddy [3] present the state-of-theart of passive systems. Description of semiactive systems and examples of applications are described by Morales-Beltran et al. [4], Casciati et al. [5], Spencer and Nagarajaiah [6], Symans and Constantinou [7], and Spencer and Sain [8]. Amezquita-Fuentes et al. [9] present a review of control laws implemented in semiactive systems. Passive control systems are activated by the action imposed by the main structural system. After the control device is installed, it has no ability to regulate itself under different ground motions. Control systems with frictional mechanisms (e.g., [10–۱۴]) are simple and costeffective. However, the optimum performance of friction-based passive control is given by a unique configuration of slip-load capacity and placement of the dampers [15]. Filiatrault and Cherry [16] noted different performance between systems with slip-loads that were either proportional to the inter-storey shear force or uniformly distributed, and proposed a design slip-load spectrum to determine the optimum slip-load directly. Dowdell and Cherry [17] proposed a proportional distribution of the dampers’ slip-load based on the structural deformation of the fundamental mode and the mass of the building. Apostolakis and Dargush [18] used genetic algorithms to identify the optimum capacity and placement of friction dampers in low-rise moment resistant steel frames. Min et al. [19] proposed the design of a single storey structure with friction damper based on a target equivalent damping ratio derived from the frictional hysteretic mechanism into a viscous damping mechanism at the steady-state response condition in the structure, which was subjected to harmonic ground motion.

نوشته مقاله انگلیسی رایگان در مورد عملکرد مطلوب کنترل ساختاری با دمپر اصطکاکی – الزویر ۲۰۱۸ اولین بار در آی اس آی دانلود ISIDL. پدیدار شد.


 

مشخصات مقاله
ترجمه عنوان مقاله تأثیر کار عاطفی و شایستگی بر رضایت شغلی در پرستاران چین: یک بررسی جامع در سراسر کشور
عنوان انگلیسی مقاله The effects of emotional labor and competency on job satisfaction in nurses of China: A nationwide cross-sectional survey
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۲۴ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus – master journals – DOAJ
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
شاخص H_index ۶ در سال ۲۰۱۸
شاخص SJR ۰٫۲۸۵ در سال ۲۰۱۸
رشته های مرتبط روانشناسی، مدیریت
گرایش های مرتبط روانشناسی صنعتی و سازمانی، مدیریت منابع انسانی
نوع ارائه مقاله
ژورنال
مجله / کنفرانس مجله بین المللی مطالعات پرستاری – International Journal of Nursing Studies
دانشگاه Department of Nursing – Peking Union Medical College Hospital – China
کلمات کلیدی صلاحیت، نیروی احساسی، رضایت شغلی، پرستار
کلمات کلیدی انگلیسی Competency, Emotional labour, Job satisfaction, Nurse
شناسه دیجیتال – doi
https://doi.org/10.1016/j.ijnss.2018.08.001
کد محصول E10059
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
Keywords
۱ Introduction
۲ Methods
۳ Results
۴ Discussion
۵ Conclusion
Conflict of interest
Funding
Appendix A. Supplementary data
References

بخشی از متن مقاله:
Abstract

Objectives: This study aimed to explore the status of job satisfaction, emotional labour, core competencies and job stress and the associations of emotional labour and core competencies with the job satisfaction of nurses in China. Methods: Data were collected by using a self-designed general information questionnaire, a job satisfaction questionnaire (McCloskey/Mueller Satisfaction Scale), a nurse emotional labour questionnaire, the Competency Inventory for Registered Nurses questionnaire, and a nurse job stressor questionnaire. A total of 13,448 nurses from 92 hospitals across mainland of China were surveyed, and 11,337 respondents (84.3% response rate) completed the questionnaires. Results: The survey results indicated that Chinese nurses had average job satisfaction (24.77±۵٫۲۳), moderate job stress (86.84±۲۱٫۱۲), moderate to high emotional labour experiences (55.08±۹٫۶۳) and high competency (195.77±۳۷٫۶۱). Multiple linear regression indicated that surface acting was negatively correlated with job satisfaction(P<0.01), while deep acting (P<0.01) and nurses’ core competence (P<0.01) were positively associated with job satisfaction. Besides, The results also indicated job stress,geographical distribution, hospital category, gender, work shift, only children, parenting status, monthly salary, nursing experience, professional title, hospital area were the influencing factors of job satisfaction(P<0.05). Conclusion: The improvement of the emotional labour and competency of nurses may help enhance their job satisfaction.

Introduction

Healthcare workers in hospitals experience high levels of job stress and low job satisfaction[1]. Hospital nurses are at high risk for occupational burnout, reduced job satisfaction and high levels of job stress worldwide, thus leading to poor nursing outcomes [2- 4]. Numerous studies have described job stress, satisfaction and burnout among nursing professionals[5-8]. Nantsupawat et al[4] reported that 28% of nurses in Thailand are dissatisfied with their job. Aiken and colleagues [9] reported that job dissatisfaction among nurses varied from 17% to 60% in nine sample countries. The work environment is an important factor that substantially contributes to nurses’ job dissatisfaction[9] . In China, the demand for quality health care service has greatly increased in the last two decades, and hospitals are facing challenges to provide high-quality service in this rapidly changing environment[10]. A limited number of nurse staff against a growing patient population and their needs further poses serious challenges to providing quality healthcare service [11]. Low job satisfaction of nurses has also been reported in China. Lu and colleagues [12] reported that low salary (79.2%) is the major reason for nurse job dissatisfaction. A survey conducted in six hospitals in Harbin, China, showed that nurses were dissatisfied mainly for workload and compensation reasons [13]. Liu and colleagues [14] reported that more than 50% of nurses were dissatisfied with their job in Guangdong Province, China. The results of studies and surveys conducted in China varied widely because of the different sites of selection and the use of various measurement instruments. The clinical competency of nurses is an important factor affecting job satisfaction. A previous study demonstrated that the core competencies of nurses correlated significantly with job satisfaction, stress, burnout and turnover [7]. In addition, emotional labour, which is required in the nursing profession, may also reduce job satisfaction. In the 1980s, Arlie Russell Hochschild introduced the concept of ‘emotional labour’, referring to the management of a person’s inner emotions to meet the requirement of emotional expression of an organisation. The management of personal emotion to fulfil job requirements is essential in the nursing profession. However, to date, only a limited number of studies have related the parameters of nurses’ job satisfaction with the status of emotional labour in China. The present study aimed to explore the status of emotional labour, core competencies, job satisfaction and stress of nurses in tertiary hospitals in mainland of China. In addition, the associations of emotional labour and core competency with job satisfaction were analysed.

نوشته مقاله انگلیسی رایگان در مورد تأثیر کار عاطفی و شایستگی بر رضایت شغلی در پرستاران – الزویر ۲۰۱۸ اولین بار در آی اس آی دانلود ISIDL. پدیدار شد.


 

مشخصات مقاله
ترجمه عنوان مقاله نقش اصول اخلاق بازاریابی هنجاری
عنوان انگلیسی مقاله The role of normative marketing ethics
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۷ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus – master journals – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۲٫۵۰۹ در سال ۲۰۱۷
شاخص H_index ۱۴۴ در سال ۲۰۱۸
شاخص SJR ۱٫۲۶ در سال ۲۰۱۸
رشته های مرتبط مدیریت
گرایش های مرتبط بازاریابی
نوع ارائه مقاله
ژورنال
مجله / کنفرانس مجله تحقیقات تجاری – Journal of Business Research
دانشگاه Marquette University – Milwaukee – United States of America
کلمات کلیدی اخلاق، بازاریابی، هنجاری، نظریه ها
کلمات کلیدی انگلیسی Ethics, Marketing, Normative, Theories
شناسه دیجیتال – doi
https://doi.org/10.1016/j.jbusres.2018.07.036
کد محصول E10016
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
Keywords
۱ Introduction
۲ Marketing ethics literature
۳ Why normative marketing is avoided
۴ Normative marketing ethics
۵ Future research directions for normative marketing ethics and customer-brand relationships
۶ Conclusion
References

بخشی از متن مقاله:
ABSTRACT

This essay highlights the importance of normative thinking in marketing ethics and proposes avenues for future research. It begins with contrasting positive and normative ethics. Then, a brief discussion of the literature in the field is included. Arguments offered by those who tend to avoid normative analysis are examined. Four types of normative ethical theories are presented: consequentialism, duty-based ethics, contract-based morality, and virtue ethics. The essay concludes with seven future research directions for normative marketing ethics and customer-brand relationships.

Introduction

Some of the world’s best known and historically respected brands have suffered serious ethical (and legal) lapses in just the past three years. Among the long list with their transgression in parentheses are: Apple (supply chain), Best Buy (data breach), Chipotle (tainted food), CVS (ad photo doctoring), Facebook (privacy and data protection), FIFA (bribery), Teva (price gouging), Uber (fares and corporate culture), United Airlines (customer abuse), Volkswagen (engine tampering), and Wells Fargo (consumer deception). This list could go on but the reason for beginning this essay with the designated issues is that these companies and others have not followed the accepted norms for business in dealing with their stakeholders. One problem common to all these cases appears to be a lack of strong moral grounding. In the paragraphs below, normative perspectives are offered for both scholars and practitioners who desire higher standards that will raise, rather than lower, consumer and societal expectations for brand marketers throughout the world. In this essay, we unapologetically advocate the importance of normative ethical viewpoints because the fundamental purpose of normative frameworks in moral philosophy is to espouse moral ideals. During this commentary, we also intentionally draw heavily on our own writings since we have been proponents of a greater focus on normative ethical marketing for nearly 45 years. Marketing ethics as a field of study is nested into a larger context that begins with applied ethics which encompasses engineering, law and medicine. Within applied ethics, the marketing domain is a subset of business ethics that deals with human resources, accounting, finance and analytics questions. We in marketing have long dealt with ethical issues in selling, advertising and product safety but in this century the other business disciplines, especially accounting and finance, have discovered that there are a host of ethical concerns facing them after the Enron/Arthur Andersen fiasco and the financial meltdown of a decade ago. The focus here, however, is exclusively on marketing ethics and the challenges faced by its practitioners and scholars. We begin with a definition of marketing ethics (ME): ME is defined as the systematic study of how moral standards are applied to marketing decisions, behaviors and institutions (Laczniak & Murphy, 1993). It draws on two distinct fields: (a) Philosophy which is normative and values focused, and, (b) Social Science, which is positive/descriptive and, often empirical. Both dimensions—normative philosophy and positive social science–are necessary to the understanding and improvement of ethical marketing practice—an end-goal presumably all academics and managers share. The normative/descriptive distinction goes back to classical Greek philosophy. Positive ethics describes what actually seems to occur in morally charged situations [often] based on observation or data. Normative ethics concerns justifying why a particular ethical standard might apply to a given practice and articulating the reasons for upholding such an ideal. Normative ethics (like the methods of positivism), when applied to marketing issues, is part of a scripted analytical process. It is not about pithy aphorisms such as “the customer is always right” or “good corporate citizens obey the law.” Such simplifications are illustrative of 1950s era business/marketing ethics and the caricatures perpetrated by misguided critics of ethical relevance (Gaski, 1999; Smith, 2001).

نوشته مقاله انگلیسی رایگان در مورد نقش اصول اخلاق بازاریابی هنجاری – الزویر ۲۰۱۸ اولین بار در آی اس آی دانلود ISIDL. پدیدار شد.


 

مشخصات مقاله
ترجمه عنوان مقاله تقویت استراتژی های سرمایه گذاری ارزش براساس متغیرهای صورتهای مالی: شواهد آلمانی
عنوان انگلیسی مقاله Enhancement of value investing strategies based on financial statement variables: the German evidence
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۳۳ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه اسپرینگر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
شاخص H_index ۳۳ در سال ۲۰۱۸
شاخص SJR ۰٫۴۷۷ در سال ۲۰۱۸
رشته های مرتبط حسابداری
گرایش های مرتبط حسابداری مالی
نوع ارائه مقاله
ژورنال
مجله / کنفرانس بررسی امور مالی و حسابداری کمی – Review of Quantitative Finance and Accounting
دانشگاه School of Business and Management – Lappeenranta University of Technology – Finland
کلمات کلیدی حق بیمه ارزشی، چند برابری ارزش گذاری، سرمایه گذاری ارزشی، انحراف ارزشی، انحراف احتمالی
کلمات کلیدی انگلیسی Value premium, Valuation multiples, Value investing, Value anomaly, Accrual anomaly
شناسه دیجیتال – doi
https://doi.org/10.1007/s11156-017-0689-y
کد محصول E10001
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
۱ Introduction
۲ Data and methodology
۳ Results
۴ Conclusions
References

 

بخشی از متن مقاله:
Abstract

This paper examines the added-value of combining traditional valuation ratios with each other as well as with some financial statement variables in the German stock markets during the 2000–۲۰۱۵ period. The results show that combination pays off and, moreover, that the benefits of combination are greater in Germany than in most other developed stock markets. Particularly, we find strong evidence of the added-value of using Piotroski’s F-score as a supplementary selection criterion for value stocks as well as for low-accrual stocks. Our results show further that the F-score also boosts the efficacy of other valuation ratios besides the book-to-price ratio. In addition, the inclusion of F-score besides a relative value measure tends to increase the average market equity of portfolio firms. The decomposition of the full-sample-period performance into separate bull- and bear-period performance shows clearly that the better performance of F-score-boosted portfolios is mostly attributable to their outperformance during bearish periods, even though on average, they also generate higher bull-period returns than the comparable value portfolios formed without F-score. The use of F-score as a supplementary criterion also increases the proportion of stocks that earn above-market-average returns during the subsequent holding period. For the first time in the financial literature, we also document a strong relationship between high F-score stocks and momentum stocks.

Introduction

Considerable international evidence of value anomalies, which refer to the tendency of value stocks to outperform the stock market average most of the time, has been documented (e.g., Chan and Lakonishok 2004; Brown et al. 2008a; Fama and French 2006, 2012; Cakici et al. 2013; Pa¨ta¨ri et al. 2017b). This evidence has shown not only that the value anomalies in stock markets are a worldwide phenomenon but also that the relative efficacy of different valuation criteria varies across stock markets and the sample periods examined.1 In addition, some scholars have started to examine whether the performance of value stock portfolios can be further enhanced by adding other criteria besides relative value to the portfolio selection. These studies can be classified into two categories, the first of which either combines value indicators with momentum indicators (e.g., Pa¨ta¨ri et al. 2012, 2017a; Fisher et al. 2016) or double-sorts the stocks based on their value and momentum indicators (e.g., see Bird and Casavecchia 2007; Leivo 2012). In the second category, test designs attempt to pick the best-performing value stocks of the future from a larger set of value stocks based on some other firm characteristics, such as profitability, accruals or financial strength. The results of the studies of the latter type have been promising as, on average, value stocks with good profitability, a high earnings quality and/ or a sound financial condition have performed better than stocks that are just the cheapest in terms of valuation ratios.2 This study contributes to the latter category by combining these three quality dimensions with a value dimension by using German stock market data. Motivated by the evidence for the added-value of combining individual valuation ratios into composite value criteria,3 we also test whether the benefits of creating combinations within the value dimension are comparable to those achievable by combining the value and quality dimensions. For this purpose, we form some simple 2-combination value portfolios. We also examine the added-value of the inclusion of Piotroski’s (2000) F-score as the supplementary criterion in cases of forming such composite value portfolios. In general, the benefits of combining selection criteria are related to the inter-relationship between the criteria being compared. The weaker the relationship, the better the potential for the added-value of combining. For this reason, the added-value of combining individual valuation ratios is generally deemed to be limited, as they all are reasoned to represent the same (i.e., value) dimension (e.g., see Fama and French 2011).

نوشته مقاله انگلیسی رایگان در مورد استراتژی های سرمایه گذاری ارزش براساس متغیرهای صورتهای مالی – اسپرینگر ۲۰۱۸ اولین بار در آی اس آی دانلود ISIDL. پدیدار شد.


 

مشخصات مقاله
ترجمه عنوان مقاله تعاریف مدل های پیش بینی ورشکستگی: شواهد از اقتصادهای نوظهور
عنوان انگلیسی مقاله Bankruptcy prediction models’ generalizability: Evidence from emerging market economies
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۱۲ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
شاخص H_index ۲۰ در سال ۲۰۱۸
شاخص SJR ۰٫۲۷۷ در سال ۲۰۱۸
رشته های مرتبط اقتصاد
گرایش های مرتبط اقتصاد مالی
نوع ارائه مقاله
ژورنال
مجله / کنفرانس پیشرفت در حسابداری – Advances in Accounting
دانشگاه Accounting and Taxation Department – University of Hartford – USA
شناسه دیجیتال – doi
https://doi.org/10.1016/j.adiac.2018.02.002
کد محصول E9838
وضعیت ترجمه مقاله ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
۱ Introduction
۲ Literaturereview
۳ Data
۴ Methodology
۵ Results
۶ Conclusion
Conflict of interest
References

بخشی از متن مقاله:
Introduction

Even as modern researchers and practitioners recognize the critical need for more accurate bankruptcy and distress prediction models, a lack of consensus remains regarding how various proposed models perform in different economic circumstances. In particular, available bankruptcy prediction models might not generalize across economic environments, such as those that mark different nations. By scrutinizing the prediction capability of models across countries, the current study seeks to extend prior literature that tends to investigate prediction models only in relation to developed economies (e.g., Agarwal & Taffler, 2007, 2008; Boritz, Kennedy, & Sun, 2007). But such studies necessarily reflect the unique traits of their samples, suggesting the powerful demand for cross-country analyses of extant models (Altman, Iwanicz-Drozdowska, Laitinen, & Suvas, 2017), across economies that represent diverse settings. Furthermore, some prediction models fail to establish a firm theoretical basis for their financial ratio selections (Charitou, Neophytou, & Charalambous, 2004; Gentry, Newbold, & Whitford, 1985a; Grice & Dugan, 2003; Oz & Yelkenci, 2017), which could imply even greater sample dependence. To explore existing bankruptcy prediction models’ generalizability, and in particular their applicability to emerging economies, this study focuses on five prominent models proposed by Altman (1968), Ohlson (1980), Taffler (1983), Zmijewski (1984), and Shumway (2001). All five of these models originally were derived with samples that came from developed economies, whereas their applicability to emerging economy samples has not been tested. Furthermore, the models originally applied to industrial firms, and the health of such firms is central to the efforts of emerging markets to participate in the global economy (Khanna & Palepu, 2006; Oz & Yelkenci, 2017). In this sense, confirming the generalizability of these models would provide pertinent insights for research but also hold promise for informing practitioners about which prediction models they should adopt. Some previous research already has established that these prediction models are generalizable in terms of their classification accuracy across different samples (e.g., Grice & Dugan, 2001, 2003; Grice & Ingram, 2001). That is, these studies show that the prediction models can detect company distress accurately, independent of the observation samples. But in addition to testing the generalizability of these prediction models across different samples, it also is necessary to test for re-estimations of the model coefficients (Grice & Dugan, 2003) and confirm the statistical significance of the prediction results (Grice & Dugan, 2001). Few tests of proposed prediction models include these research considerations though. Instead, most research tends to implement specific prediction models for individual country samples, to measure and compare their prediction performance (Kordlar & Nikbakht, 2011; Lifschutz & Jacobi, 2010; Oude, 2013; Pongsatat, Ramage, & Lawrence, 2004), or else apply original versions of the models without examining the statistical validity of their results (Almamy, Aston, & Ngwa, 2016; Chouhan, Chandra, & Gosvami, 2014; Hussain, Ali, Ullah, & Ali, 2014; Malik, Aftab, & Noreen, 2013; Mizan & Hossain, 2014). To extend beyond such considerations, the present study checks the effectiveness of the five models across an economically diverse, multicountry sample.

نوشته مقاله انگلیسی رایگان در مورد تعاریف مدل های پیش بینی ورشکستگی – الزویر ۲۰۱۸ اولین بار در آی اس آی دانلود ISIDL. پدیدار شد.


 

مشخصات مقاله
ترجمه عنوان مقاله اثر ساختار سازمانی بر ظرفیت جذب در حالتهای یادگیری تک و دوگانه
عنوان انگلیسی مقاله The effect of organizational structure on absorptive capacity in single and dual learning modes
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۷ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) master journals – DOAJ
فرمت مقاله انگلیسی  PDF
رشته های مرتبط مدیریت
گرایش های مرتبط مدیریت دانش
نوع ارائه مقاله
ژورنال
مجله / کنفرانس مجله نوآوری و دانش – Journal of Innovation & Knowledge
دانشگاه  Faculty of Economics and Administration – King Abdulaziz University – Saudi Arabia
کلمات کلیدی ساختار سازمانی، ظرفیت جذب، حالت تک، حالت دوگانه
کلمات کلیدی انگلیسی Organizational structure, Absorptive capacity, Single mode, Dual mode
شناسه دیجیتال – doi
https://doi.org/10.1016/j.jik.2017.03.007
کد محصول E9801
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فهرست مطالب مقاله:
Abstract
JEL classification
Keywords
Introduction
Theoretical consideration
Proposed framework
Theoretical contributions
Conclusions, limitations, and recommendations
References

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abstract

Structural theories of absorptive capacity (ACAP) usually aim to specify organizational design characteristics that lead to a high level of ACAP. Drawing on the theories of organizational design and knowledge management, this paper reviews how organizational structure relates to ACAP in single and dual learning modes. This study analyzed the structure of the ACAP relationship in management and organization studies based on a literature review of ACAP research. This study contributes to the ACAP literature in five ways: (1) it investigates the role of ACAP as an independent variable; (2) it focuses on the behavioral domain of ACAP; (3) it relates structural variables to ACAP in single and dual learning modes; (4) it establishes a link between structural variables and ACAP using a two-stage model, comprising initiation and implementation stages; and (5) it predicts ACAP by identifying several testable propositions and deriving two predictive contingency models. Several propositions and two predictive contingency models are recommended as directions for future research and theory construction.

Introduction

During the past two decades, researchers have proposed a number of models and frameworks with which to analyze absorptive capacity (ACAP). The interest in ACAP has grown significantly over the past three decades, and continues to do so today (Apriliyanti & Alon, 2017; Gao, Yeoh, Wong, & Scheepers, 2017). Unfortunately, few studies capture the richness and multidimensional nature of ACAP (Jansen, Van den Bosch, & Volberda, 2005a), although several recent works have examined the multidimensionality of ACAP (Apriliyanti & Alon, 2017; Gao et al., 2017; Martinkenaite & Breunig, 2016). A recent review of the literature on ACAP by Gao et al. (2017) shows that ACAP is typically represented in the literature as either a dependent or an independent variable or as a mediator. Very few studies consider ACAP as an independent variable, or as mediating or moderating variables. Thus, researchers have largely ignored the organizational antecedents of ACAP, focusing instead on the outcomes of ACAP. Gao et al. (2017) find that researchers are more interested in investigating the influence of ACAP on organizational phenomena than in examining the effect of organizational phenomena on organizationalACAP. Conventionally,ACAP is perceived as the outcome of an investment in research and development, although recently, debates over its proactive dimension have begun to emerge (De Araújo Burcharth, Lettl, & Ulhøi, 2015; Gao et al., 2017). It is important that we investigate ACAP as being dependent, independent, a mediator, or a moderator, because, as argued by Cepeda-Carrion, Leal-Millán, Martelo-Landroguez, and LealRodriguez (2016), the multidimensionality of ACAP is essentially a distinct concept and, consequently, may draw on different structures, objectives, and strategies. One the other hand, Jansen et al. (2005a) argue that organizational antecedents may have differing effects on the dimensions of ACAP and, thus, may lead to different performance outcomes. Until the work of Cohen and Levinthal (1990), research had focused on technical aspect of organizations, or intellectual property (e.g., copyrights, patents, trade secrets, proprietary rights, and R&D expenditure), as the key determinants of ACAP. Then, Zahra and George (2002) began a new debate, focusing on the non-technical aspect of organizations, such as organizational capabilities and managerial practices, as the key drivers of ACAP (Ali & Park, 2016). Recently, Gao et al. (2017) categorized the domain of ACAP literature into technical and behavior aspects, and concluded that 44 of 65 studies focus on the technical domain.

نوشته مقاله انگلیسی رایگان در مورد اثر ساختار سازمانی بر ظرفیت جذب در حالتهای یادگیری – الزویر ۲۰۱۸ اولین بار در آی اس آی دانلود ISIDL. پدیدار شد.

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