bluuebunny/crossref_metadata_2025 huggingface dataset:
Demander (ou pas) l’aide à domicile au grand âge. L’agency des personnes âgées
Authors: Masotti Barbara
Published: November 2018

L’assistance formelle à domicile est devenue une pratique de plus en plus répandue dans le monde occidental. Tôt ou tard, elle finit par constituer une des conditions du maintien à domicile dans la vieillesse : mais qu’en est-il de l’agency des personnes âgées lorsque, face aux pertes typiques du grand âge, celles-ci doivent faire appel à des services et à des individus étrangers à leur chez-soi ? Les entretiens menés avec des individus de 80 ans et plus vivant dans une région de Suisse montrent que leur rôle à ce sujet, s’il est parfois mis à mal par des contraintes, est loin d’être marginal. Sa compréhension demande une considération du parcours de vie et des ressources de l’individu, ainsi que des contextes dans lesquels il est inséré. Le type de service – aide domestique ou soin personnel, aide publique ou privée – a aussi une influence, de même que leur mode d’organisation et le travail des soignants qui y opèrent.
Citoyenneté politique et reconnaissance dans la vieillesse dépendante
Authors: Sgier Léa , Lucas Barbara
Published: November 2018

Cette contribution propose une réflexion sur la question de la citoyenneté des personnes âgées dépendantes, une catégorie de personnes particulièrement vulnérables et bien souvent de facto tenues à l’écart des processus démocratiques. Notre réflexion part d’une expérience faite avec un projet pilote d’intervention dans des établissements pour personnes âgées dans le canton de Genève en Suisse. Le projet visait à offrir aux personnes âgées un espace d’information et d’échange sur des questions politiques en amont des votations fédérales, avec l’aide de jeunes politologues extérieurs à l’institution. Les expériences faites avec ce projet nous permettent de mettre en évidence deux fonctions clés de la citoyenneté politique pour cette catégorie de personnes : une fonction identitaire, au travers de l’émergence, l’activation ou la réactivation de liens sociaux concrets (aux autres participants à l’échange) et symboliques (à la communauté politique dans son ensemble) ; et une fonction de reconnaissance (au sens de Nancy Fraser, 1995) qui s’exerce en apportant un correctif aux tendances « âgistes » de notre société : en donnant les moyens concrets aux personnes âgées vulnérables de (re)devenir des participants actifs au dialogue et aux décisions démocratiques, celles-ci sont rétablies dans leur statut d’égalité et reconnues en tant que citoyennes et citoyens à part entière malgré les limites à la mobilité et à la santé qui vont de pair avec le grand âge. En mettant en évidence ces deux fonctions, nous attirons l’attention sur l’importance de mieux prendre en compte la citoyenneté politique des personnes âgées dépendantes.
Nietzsche et le travail : ce « vice » de notre époque
Authors: Chirat Alexandre
Published: November 2018

Cet article propose un réexamen du regard porté par Nietzsche sur le travail en tant qu’activité. Plutôt que d’expliquer les positions de Nietzsche sur le thème du travail par sa philosophie, nous éclairons sa philosophie – et en particulier son rejet conjoint du libéralisme et du socialisme – à partir de sa critique du travail. Cette option méthodologique permet ainsi de prendre pleinement en compte les deux aspects de sa critique du travail tout en rendant compte de son dégoût de la modernité et des idéologies politiques qui lui sont corollaires. Codes JEL  : A13, B19, P16, Z1
Le possibilisme chez Albert O. Hirschman
Authors: Ferraton Cyrille , Frobert Ludovic
Published: November 2018

Albert O. Hirschman est surtout connu pour ses travaux sur le développement économique et des publications comme Exit, Voice and Loyalty (1970), The Passions and the Interests (1977) ou encore The Rhetoric of Reaction (1991). Il l’est beaucoup moins pour sa défense du possibilisme qui représente sa conception méthodologique des sciences sociales. Nous en présentons l’origine et ses principales caractéristiques dans cet article. Codes JEL  : B31, B40
Plasma Cocaine Metabolite Levels and Liver CYP450 3A4 Isoenzyme Activity as Indicators of Cocaine Metabolism in Rats Treated With Salako Supplements
Authors: Gardner Natwaine Sherune , Luke Kedon J. S. , Wheatley Andrew O. , De La Haye Winston , Bahado-Singh Perceval Steven , Dilworth Lowell L. , McGrowder Donovan A. , Barton Everard , Young-Martin Lauriann E. , Salako-Akande Ajibeke , Lowe Henry , Morrison Errol , Eldermire-Shearer Denise , Asemota Helen
Published: November 2018

The effects of Salako nutritional supplements on cocaine-dependent Sprague Dawley rats was investigated. Rats were made cocaine-dependent using conditioned place preference (CPP) where craving was analyzed regularly. Cocaine metabolite levels were determined from blood samples. CYP450 3A4 isoenzyme activities were obtained using liver homogenate. Statistical analysis was done using SPSS one-way ANOVA and Duncans multiple range test. Results show that when cocaine use was discontinued, the supplements reduced craving of cocaine significantly. Blood plasma results showed higher benzoylecgonine equilibrium possibly indicating that the supplements aided the removal of stored cocaine metabolites which may have contributed to better management of craving in the rats. CYP450 3A4 isoenzyme activity was further enhanced by the supplements and is indicative of increased cocaine metabolism. The results indicate that the Salako nutritional supplements reduce craving caused by chronic cocaine administration by increasing the liver CYP450 3A4 isoenzyme activity, resulting in better plasma clearance.
Challenges and Opportunities of Micro or Small Social Enterprises in Rwanda
Authors: Rwamigabo Eugene Remy
Published: November 2018

The purpose of this chapter is to provide insights on micro or small social enterprises in Rwanda with a focus on their opportunities and challenges. The author carried out a literature review and interviews. The chapter explores the emergence and evolution of economically oriented social organizations in Rwanda. The context of emergence of social enterprise in Rwanda was shaped, among other factors, by Anglo-Saxon influence. The chapter underlines other contextual factors underlying the current emergence of micro or small social enterprises notably the aftermath of the 1994 genocide against Tutsi, and the current entrepreneurships trends. Finally, the chapter examines opportunities shaping micro or small enterprises and investigates challenges facing micro or small social enterprises in Rwanda. The chapter explores and provides insights into the specificities and the current trends of micro or small social enterprise in Rwanda with a view to fostering further analysis for several research avenues.
Social Capital as a Factor of Success in Mexican Cooperatives
Authors: Vargas-Hernández José G. , Ortiz Claudia Leticia Preciado
Published: November 2018

The main objective of this chapter is to reflect the importance of social capital in the establishment and growth of cooperatives in Mexico, specifically the cooperative “Las Chiquihuitecas,” producer of cochineal insect (Dactylopius coccus Costa). The research method used was totally qualitative applying the documentary analysis and the interview in depth as an instrument for the collection of the information. As a result, it was obtained that social capital has been the key element in the formation and development of the cooperative.
Innovative Approaches to Traditional Mentoring Practices of Women in Higher Education
Authors: Statti Aubrey LeeAnne Coy , Torres Kelly M.
Published: November 2018

The chapter will present research specific to the mentoring needs of women in higher education, specifically females in early and mid-career as well as women pursuing senior faculty status and positions of leadership. The chapter will begin with a description and rationale of mentorship, specifically among female faculty, as well as an explanation of the traditional model of mentoring. The chapter will then lead into a discussion of both traditional and innovative methods of mentorship and evaluate the benefits of mentoring to the mentor. Throughout the chapter, mentorship relationships among female faculty are evaluated under the theoretical lens of relational cultural theory and social learning theory. The chapter will conclude with a discussion of future research and potential practice of mentoring female faculty in academia.
Successful Women Leaders
Authors: Russell Freda R.
Published: November 2018

This chapter examines research from the lens of women who are in mid-level and senior-level positions in their organizations. Using Mezirow's framework for transformational learning, these inspiring women leaders shared perceptions of organizational practices, work-family interface, institutional culture, issues of equity and diversity, institutional challenges, and personal mastery; they also defined their actions that contributed to their successes as well as the successes of the organizations they identified with. Additionally, within this chapter, the author compares and contrasts the barriers that limit women's ability to aspire to top leadership positions and examine the roles of their primary and secondary supports (i.e., sponsors, family, mentors, work teams, and peer networks).
Healthcare Big Data
Authors: Pramanik Pijush Kanti Dutta , Pal Saurabh , Mukhopadhyay Moutan
Published: November 2018

Big data has unlocked a new opening in healthcare. Thanks to the considerable benefits and opportunities, it has attracted the momentous attention of all the stakeholders in the healthcare industry. This chapter aims to provide an overall but thorough understanding of healthcare big data. The chapter covers the 10 ‘V's of healthcare big data as well as different healthcare data analytics including predictive and prescriptive analytics. The obvious advantages of implementing big data technologies in healthcare are meticulously described. The application areas and a good number of practical use cases are also discussed. Handling big data always remains a big challenge. The chapter identifies all the possible challenges in realizing the benefits of healthcare big data. The chapter also presents a brief survey of the tools and platforms, architectures, and commercial infrastructures for healthcare big data.
Data Analysis and Integration in Healthcare
Authors: Evans Kara S. , Wang Elizabeth Baoying
Published: November 2018

Healthcare providers treat a plethora of conditions associated with the human body for a patient to achieve optimal healthiness. However, aspects of a patients' entire wellbeing can often be overlooked, which leads to issues such as drug interactions, missed diagnoses, and other gaps in care. Healthcare can benefit from implementing better data management and integration to improve data analysis, which could bridge gaps in care. This chapter will explain data analysis and data integration, why they are pertinent in the healthcare system, and their associated rewards and challenges. After analyzing these healthcare facets, this chapter will conclude with a proposal for healthcare providers to leverage technology for patients' general wellbeing and a healthier population.
A Forecasting Model for Patient Arrivals of an Emergency Department in Healthcare Management Systems
Authors: Yucesan Melih , Gul Muhammet , Mete Suleyman , Celik Erkan
Published: November 2018

Emergency departments (EDs) are one of the most valuable departments of healthcare management systems. Patient arrivals at the EDs are crucial for planning of the future. Accurate forecasting of patient arrivals contributes to better organized human resources and medical devices in the EDs. Therefore, in this chapter, the authors aim to develop a hybrid model including the methods of autoregressive integrated moving average with external variables (ARIMAX) and artificial neural network (ANN) in a hospital ED. The arrival data was collected from the hospital information system of a public hospital in eastern Turkey. The model incorporates factors related to ED arrivals such as climatic and calendar variables. By the aid of the proposed model, an insight to arrangement and planning of ED resources can be provided in a better way.
Paradigm Change in Strategic Management
Authors: Arıcıoğlu Mustafa Atilla , Yiğitol Büşra
Published: November 2018

In this chapter, three fundamental paradigm changes related to strategic management are discussed and analyzed. Firstly, change of the long-term concept is emphasized. Reasons such as the emergence of global enterprises, increasing number of tools using on prediction of future, as well as the increasing complexity in business world shows that time-based mentality of planning that used by public strategy is no longer valid. The second discussion is the strategic consciousness that is not included in the strategic management process and is ignored in most of the strategy literature. The level of strategic consciousness refers to the ability of organizations to be aware of environmental changes. Therefore, strategic consciousness should be included in the entire strategic management process. The third discussion is that strategic management is not valid for SMEs. Because of characteristics, it is not possible for SMEs to have a strategic point of view.
The Effects of Technology on Bank Performance in Advanced and Emerging Economies
Authors: Tunay Necla , Yüksel Serhat , Tunay K. Batu
Published: November 2018

Electronic banking is a very popular aspect almost all over the world especially in the last few years. Banks make investment in this area in order to attract the attention of the customers. Therefore, it can be possible to survive in such a competitive environment. In the literature, it is also discussed that making investment into the technological aspects has an important contribution to the financial performance of the banks since it increases efficiency in banking operation. Similarly, in this chapter, the effects of electronic banking technologies on bank profitability and costs are investigated. The analyzes are performed with aggregated data from 23 developed and emerging economies covering the 2005-2015 period. The relationship between the electronic bank services and various performance and cost criteria such as ROE, cost to total income ratio, non-interest income, and overhead expenses to total assets ratio has been analyzed. The findings show that the increase in the use of electronic banking technologies has a positive impact on profitability and a negative impact on costs. Banks' investments in technological innovations improve both their productivity, product and service quality, and profitability performance. While considering the issues emphasized in this study, it can be recommended that banks should increase their investments for the technological improvement in order to have higher financial performance.
The Role of Islamic Financial Product Innovation in Reduction of Financial Exclusion in Ethiopia
Authors: Hailu Suadiq Mehammed , Kapusuzoglu Ayhan , Ceylan Nildag Basak
Published: November 2018

The aim of the chapter is to explain the strategic role of Islamic finance, which can be considered as financial product innovation, in combating financial exclusion in Ethiopia. It intends to assess the extent and the nature of religious-driven financial exclusion of Ethiopian Muslims and the level of their participation in the existing interest free window banking system introduced to the sector recently. In order to collect data for the research, mixed approaches such as questionnaires and semi-structured interviews are used. The questionnaire was distributed to 321 respondents in Addis Ababa in 2017 while the semi-structured interview was conducted with selected high-ranking bank officers. At the end of the analyses there are findings which show the extent of financial exclusion of Ethiopian Muslims due to the absence of alternative financial systems.
Globalization and Time-Varying Market Efficiency
Authors: Kamışlı Melik , Kamışlı Serap , Temizel Fatih
Published: November 2018

The main purpose of this study is to determine time-varying weak form efficiency of 18 Borsa İstanbul sub-sector indices. In line with this purpose weak form efficiency is tested with innovative technique alongside traditional methods. The study indicated that bank, real estate invest trusts, holding & investments, telecommunication, wood, paper & printing, insurance, tourism and transportation indices are not linear. The weak form efficiency of aforementioned indices is analyzed with a rolling KSS unit root test developed by Yılancı. It is concluded depending on the applied tests that weak form efficiency of all of the nonlinear sub-sector indices has a time-varying structure. Results also showed that global scale events affect weak form efficiency of the indices in different durations. Findings gained from the study can be used by investors in strategic portfolio management decisions and by policy makers as well.
ESG and Financial Performance
Authors: Aybars Aslı , Ataünal Levent , Gürbüz Ali Osman
Published: November 2018

Non-financial information such as environmental, social, governance (ESG) issues is becoming as much important as financial data. This study investigated the empirical relationship between Thomson Reuters Environmental Social Governance (ESG) Combined Score and performance of S&P 500 firms with eleven years of data from between 2006 and 2016. The study confirmed unidirectional positive and significant relation between ESG Combined Score and ROA, suggesting that improvements in ESG score have positive impact on operating performance of the firm. Although simultaneous equation estimations by means of instrumental variables (IV) employing two-stage least squares (2SLS) and three-stage least squares (3SLS) confirmed the significant positive relation between ESG Combined Score and operational profitability (ROA); contrarily, Tobin's Q seemed to affect ESG score rather than the ESG score inducing Tobin's Q. Higher Tobin's Q seems to lead to a lower ESG score. In other words, firms with higher growth potential as denoted by a higher Tobin's Q, are found to be less sensitive to ESG issues.
The Basics of Big Data and Security Concerns
Authors: Tamane Sharvari C. , Solanki Vijender K. , Joshi Madhuri S.
Published: November 2018

The chapter is written on two important buildings, the basics of Big data and their security concern. The chapter is classifying in different sections. The chapter starts with the basic of big data and is concluded with security concern. The chapter is enriched with different category examples to make texts easy for author understanding. The chapter begins with the introduction of big data, their memory size followed by the examples. The chapter explains the category of big data in type of structured, semi-structured and unstructured data. The discussion on operational data service and big data application is also included to ensure the basic understanding to readers. The second portion of chapter which is based on security in big data. It's explaining the issues and challenges in big data. The section also focusing on the shift paradigm from cloud environment to big data environment changes and the problems encounter by organizations. The section discusses the framework issue and concluded with the necessity of understanding security in the big data, keeping in view of expansion of information technology infrastructure in the 21st century.
Defining, Understanding, and Addressing Big Data
Authors: Bihl Trevor J. , Young II William A. , Weckman Gary R.
Published: November 2018

“Big Data” is an emerging term used with business, engineering, and other domains. Although Big Data is a popular term used today, it is not a new concept. However, the means in which data can be collected is more readily available than ever, which makes Big Data more relevant than ever because it can be used to improve decisions and insights within the domains it is used. The term Big Data can be loosely defined as data that is too large for traditional analysis methods and techniques. In this article, varieties of prominent but loose definitions for Big Data are shared. In addition, a comprehensive overview of issues related to Big Data is summarized. For example, this paper examines the forms, locations, methods of analyzing and exploiting Big Data, and current research on Big Data. Big Data also concerns a myriad of tangential issues, from privacy to analysis methods that will also be overviewed. Best practices will further be considered. Additionally, the epistemology of Big Data and its history will be examined, as well as technical and societal problems existing with Big Data.
A Critical Review of the Big-Data Paradigm
Authors: Xing Ruben , Ren Jinluan , Sun Jianghua , Liu Lihua
Published: November 2018

The moving directions of big data are readjusted with updated concerns along with the quick boom of Internet of Things (IoT). Any serious contribution to the advance of the IoT must necessarily be the result of synergetic activities conducted in different fields of knowledge, such as telecommunications, informatics, electronics and social science. Big data was a hot topic in past years. It is not a new technology, but a huge resource generated from those fields. Some of the omitted focuses become major strategic plans for developers, and several new functions are becoming critical needs for the smart Internet movement. This paper is to address big data with the strategic changes and directions during the sensitive transitional period to be recognized for the business leaders and information technology (IT) developers.
Knowledge Discovery and Big Data Analytics
Authors: Jambulingam Vinoth Kumar , Santhi V.
Published: November 2018

The era of big data has come with the ability to process massive datasets from heterogeneous sources in real-time. But the conventional analytics can't be able to manage such a large amount of varied data. The main issue that is being asked is how to design a high-performance computing platform to effectively carry out analytics on big data and how to develop a right mining scheme to get useful insights from voluminous big data. Hence this chapter elaborates these challenges with a brief introduction on traditional data analytics followed by mining algorithms that are suitable for emerging big data analytics. Subsequently, other issues and future scope are also presented to enhance capabilities of big data.
Design Challenges of Cloud Computing
Authors: Jouini Mouna , Rabai Latifa Ben Arfa
Published: November 2018

Cloud computing has recently emerged as a new paradigm of computing for hosting and delivering services over the Internet. It replaces computing as a personal commodity by computing as a public utility. It is attractive solution to business owners as it eliminates the requirement for users to plan ahead for provisioning, and allows enterprises to start from the small and increase resources only when there is a rise in service demand. However, despite the significant benefits, these technologies present many challenges including lack of security. The chapter presents an advanced survey focusing on cloud computing concept. It highlights its key concepts and presents a physical architecture of this environment. Finally, the chapter defines virtualization technology as a factor for cloud computing surge and discuses security issues that damage these systems. The aim of this chapter is to provide a better understanding of the design challenges of cloud computing.
Exploring the Usage of Big Data Analytical Tools in Telecommunication Industry in Oman
Authors: Al Jabri Himyar Ali , Al-Badi Ali H. , Ali Oualid
Published: November 2018

Big Data has recently become a very hot topic in the field of Information Technology and Data Management. Data generated by the company's daily operations through different resources such as social media, etc. is very important because it can bring a value that will lead to a competitive advantage. The objectives of this research are to: 1) Explore the analytical tools used to manipulate Big Data in Omani telecom industry, 2) Present the benefits of using these tools, the extent of use, and the features specifically promoted these tools, and 3) Highlight the challenges/obstacles that the telecom industry in Oman facing in adopting/using Big Data analytical tools. To achieve the research objectives two case studies were conducted among the main telecom operators in Oman. This research concluded that both studied telecom operators in Oman are not ready for the DBAs. Both operators need to invest in developing the capabilities that enable them to use these tools. Once that is satisfied, then other components like the infrastructure, tools, and data can be managed very well.
Discovery Mechanism for Learning Semantic Web Service
Authors: Ben Mahmoud Chaker , Azaiez Ikbel , Bettahar Fathia , Gargouri Faiez
Published: November 2018

Nowadays, e-learning offers advantages over traditional learning in terms of independence. Moreover, adaptive e-learning systems take into account learner's profile, such as learning style and level of knowledge, in order to provide the most appropriate learning object. However, the essential challenge is finding and identifying the learning objects from a big corpus while ensuring their independence in different contexts. To overcome these problems of interoperability and accessibility of learning objects, the authors proposed to define a learning semantic Web service for each learning object. This service is an extension of OWLS that encompasses the description of the learning intention and the use of context that characterize a learning object. In this paper, the authors propose a new discovery mechanism based on learning intention and context use guided by the learner's intention and profile in order to offer a personalized learning path. Experimental results prove the efficiency of the proposed approach and approve its notable contribution.
Predictive Analysis for Digital Marketing Using Big Data
Authors: Balusamy Balamurugan , Jha Priya , Arasi Tamizh , Velu Malathi
Published: November 2018

Big data analytics in recent years had developed lightning fast applications that deal with predictive analysis of huge volumes of data in domains of finance, health, weather, travel, marketing and more. Business analysts take their decisions using the statistical analysis of the available data pulled in from social media, user surveys, blogs and internet resources. Customer sentiment has to be taken into account for designing, launching and pricing a product to be inducted into the market and the emotions of the consumers changes and is influenced by several tangible and intangible factors. The possibility of using Big data analytics to present data in a quickly viewable format giving different perspectives of the same data is appreciated in the field of finance and health, where the advent of decision support system is possible in all aspects of their working. Cognitive computing and artificial intelligence are making big data analytical algorithms to think more on their own, leading to come out with Big data agents with their own functionalities.
The Full Knowledge of Big Data in the Integration of Inter-Organizational Information
Authors: Poleto Thiago , Heuer de Carvalho Victor Diogho , Costa Ana Paula Cabral Seixas
Published: November 2018

Big Data is a radical shift or an incremental change for the existing digital infrastructures, that include the toolset used to aid the decision making process such as information systems, data repositories, formal modeling, and analysis of decisions. This work aims to provide a theoretical approach about the elements necessary to apply the big data concept in the decision making process. It identifies key components of the big data to define an integrated model of decision making using data mining, business intelligence, decision support systems, and organizational learning all working together to provide decision support with a reliable visualization of the decision-related opportunities. The concepts of data integration and semantic also was explored in order to demonstrate that, once mined, data must be integrated, ensuring conceptual connections and bequeathing meaning to use them appropriately for problem solving in decision.
Vehicle to Cloud
Authors: Ozpinar Alper , Yarkan Serhan
Published: November 2018

The population of humanity has become more than seven billion. Daily used devices, machines, and equipment, are also increasing quicker than the human population. The number of mobile devices in use like phones, tablets and IoT devices already passed the two billion barrier and even more than one billion as vehicles are also on the roads. Combining these two will make the one of the biggest Big Data Environment about the daily life of human beings after the use of internet and social applications. For the newly manufactured vehicles, internet operated entertainment and information Systems are becoming a standard equipment delivering such an information to the manufacturers but most of the current vehicles do not have a system like that. This chapter explains the combined version of IoT and vehicles to create a V2C vehicle to cloud system that will create the big data for environmental sustainability, energy and traffic management by different technical and political views and aspects.
Big Data in Higher Education
Authors: Vidal Marta , Vidal-García Javier , Barros Rafael Hernández
Published: November 2018

Big Data refers to large volumes of information – on diseases, ticket sales, and so on – that standard database tools such as MySQL and Oracle, cannot easily process. Thus, data analytics tools, such as InfoGram and Google Fusion Tables, are required to manage the information. The processed data is useful in several ways. For instance, public health officials may use the results of the analysis to explain the spread of viruses including the H1N1 virus (Mayer-Schönberger & Cukier, 2014, p. 2). Airplane companies may use the results to predict changes in ticket prices. Apart from the medical and aviation industries, institutions of higher learning also collect significantly large quantities of data. Hence, the analysis of Big Data also takes place in higher education. The beneficiaries of the analysis include students and administrators.
Web Services Description and Discovery for Mobile Crowdsensing
Authors: Bradai Salma , Khemakhem Sofien , Jmaiel Mohamed
Published: November 2018

The rapid growth of sensor-enabled smartphone is driven phenomena of common interest to be observed while leveraging people mobility and their sensory data collection. This paradigm known as mobile crowdsensing has demonstrated its efficiency in data collection over the last years, enabling the monitoring of traffic, pollution, people density and more. However, it stills pose interesting challenges, with particular regard to the management of collected data, dealing with their presentation and standardization in an interoperable infrastructure. Current visions of future crowdsensing systems share common goal of integrating those data into powerful real time web services accessible and discoverable via the web. In this paper the authors dig into this axis and define several criteria that allow succeeding it. They pay particular attention to semantic description and discovery techniques and evaluate proposed approaches by defining their strengths and shortcomings. The authors also propose guidelines for future researches.
Learning Management System 2.0
Authors: Anshari Muhammad , Alas Yabit , Yunus Norazmah , Sabtu Norakmarul Ihsan binti Pg Hj , Hamid Malai Hayati Sheikh Abdul , Smith Mark
Published: November 2018

The recent adoption of cloud computing, Web 2.0 (web as a platform), and Big Data technologies have become the main driver of the paradigm shift. For higher education, choosing the right platform for a next generation of Learning Management System (LMS) namely LMS 2.0 is becoming more important than choosing a tool in the new paradigm. This chapter discusses factors for higher institution in determining a future direction for its LMS to take advantage of pervasive knowledge management, efficiency and effectiveness of operations. Literature studies have deployed for this study to portray the state of future LMS initiative. We found that the trends of cloud computing and big data will be predominant factor in viewing future LMS adoption and implementation. LMS 2.0 can be a solution to make learning systems in a higher education is flexible in terms of resources adoption, quality of learning, knowledge management, and implementation.
Social Responsibility as Form of Governance in Tourism
Authors: González-Morales Olga , Álvarez-González José Antonio , Armas-Cruz Yaiza , Sanfiel-Fumero María Ángeles , Santana-Talavera Agustín
Published: November 2018

This work is the result of an exploratory study of introduction to a research conducted by a group of professors from the University of La Laguna, entitled: Design of optimal scenarios of tourism governance in Biosphere Reserves (GOBTUR) (CSO2012-38729-C02-01). This project is funded by the Directorate General of Research and Management of the National R+D+i (Ministry of Economy and Competitiveness), led by Agustin Santana Talavera. The objective is to analyze the role of Corporate Social Responsibility as form of governance in the tourism sector and collects a set of empirical studies about business cooperation and Corporate Social Responsibility. It analyzes public-private cooperation in the tourism sector and the role that the agents involved can play, as well as their strategies and their limitations. Afterwards, it focuses on the characterization of the Canary island of Fuerteventura (Spain). An example of actions cooperative public-private and the general format of the survey that shall complete the responsibles of tourist accommodations are also disclosed.
Tourism Development in Least Developed Countries
Authors: Saner Raymond , Yiu Lichia , Filadoro Mario
Published: November 2018

Effective tourism strategies of a developing country can create revenue generating opportunities (tax revenues) and provide sustainable employment for semi-skilled or unskilled workers. Such tourism development strategies require systemic thinking and comprehensive investment portfolio strategies regarding the tourism industry as a whole, i.e. going beyond investing in hotels, but also including transportation infrastructure, catering, restaurants, safe water, financial system etc. In other words, the destination countries need to review their tourism value & supply chains and identify structural impediments to the full utilization of their tourism assets and facilities. This chapter shows how Least Developed Countries (LDCs) can define their tourism sector development and suggests a framework which can be used by a LDC to assess its tourism development potential. It can also be used by potential investors interested in investing in an LDC's tourism sector who need to understand the broader context of doing business in LDCs.
Advancing the Global Perspective of Tourism by Examining Core and Peripheral Destinations
Authors: Cassidy Frances , Hume Margee
Published: November 2018

Core and peripheral destinations are very significant to island tourism because of core and peripheral islands. Peripheral locations may be disadvantaged as they are isolated from the core or economic centers and from the main population. This chapter reviews literature on the complexity of core and peripheral destinations, their development, planning, marketing and management together with local resident's perceptions of tourists and the tourist's expectations. The South Pacific is defined and it's Colonial past discussed together with tourist motivations. It is becoming increasingly difficult for all stakeholders to agree on programs and tourism practices and that various South Pacific countries have different ways of collecting statistical data resulting in few generic standards to adhere to.
Sustainable Tourism Development of Rural Areas in Serbia as a Precondition to Competitiveness
Authors: Vuković Predrag , Subic Jonel
Published: November 2018

Rural tourism has been developing in Serbia since the 1970s. However, from the beginning of the 1990s, the development stopped. The development trend was only continued in the second half of the 1990s, and fast-paced development began in 2006. Rural tourism presents in various forms in Serbia. They are conditioned by natural geographic terrain characteristics, social and cultural elements, and strategic plans for tourism development. What appears as a problem in the development of rural tourism is the question of its sustainable development. The development of rural tourism should under no circumstances jeopardise the natural and social environment in the rural areas, as these aspects are the very basic tourist attraction and the “push and pull” force that animates the tourist demand. The goal of this chapter is to investigate the resources available in Serbia and show the possible directions in the rural tourism development, mainly based on the principle of sustainable development, as a precondition for the country's competitiveness on the tourism market.
New Kids on the Block
Authors: Ford Carrie Pemberton
Published: November 2018

Like Gender Economics, Trafficking in persons has only recently emerged into academic consciousness and business environment concerns, as a discrete area of study with its own particular areas of legal, socio-anthropological and economic principles, in the first decades of this third millennium. New discourses raise fresh questions and they are legion. The ‘new kids' seek to make sense of challenging phenomena and outline the terms through which, Trafficking in persons it is to be articulated to the wider academy, public services, market institutions, and civil society. This chapter explicates the connectedness of critiques Gender Economics has been using on businesses, to see how Human Traffickers exploit people's bodies and their gendered realities. There is certain passivity towards the human, inbuilt in neo-liberal markets which commodify the whole of life. Those least able to protect themselves from the abusive ‘entrepreneurship' of traffickers are traded, with their gendered reality affecting prices and outcomes.
Gender Fluidity in the Age of Technologically Mediated Environments
Authors: Hickman Mary-Kate , Ozuem Wilson , Okoya Jummy
Published: November 2018

Gender is a concept that has evolved with time, varying its meaning and relevance regularly. Today, it manifests across many facets of life. Whilst theories of gender began as a device to categorise individuals and groups, these have evolved into a broad, complex system of identification to describe the uniqueness of the individual. Central to the discussion of gender is the question of how we can understand human conduct and experience in technologically laden marketing environments. Drawing on extant theories, the current chapter examines how the technologically mediated marketing environment (TMME) is increasingly challenging fashion and luxury marketers to reconsider their marketing communications strategies, particularly with the impact of evolving Internet technologies such as social media platforms. The concluding section offers further agenda for future research.
Diversity in the Workplace
Authors: Hieker Carola , Rushby Maia
Published: November 2018

The ‘diversity in the workforce' chapter looks at the current status of gender diversity in the workplace and describes initiatives that are commonly designed and implemented by organizations for their female workforce and their senior leaders in pursuit of gender parity. It is emphasized that one or two interventions in isolation will not guarantee gender parity but that a combination of interventions is necessary, depending on the size and complexity of the organization. Furthermore, it is underlined that if these interventions are perceived as attractive by senior leaders then the senior leaders should be encouraged to invest time and resources in pursuing them. It will raise their commitment to become diversity champions, which is key for sustainable change. Examples from finance and professional service firms illustrate how some of the described interventions are used to enhance diversity.
Increased Workforce Diversity by Race, Gender, and Age and Equal Employment Opportunity Laws
Authors: Carter Shani D.
Published: November 2018

This chapter reviews how the passage of United States federal Equal Employment Opportunity laws between 1960 and 2000 related to race, gender, age, and national origin led to increased diversity of the labor force in gender, race, and ethnicity, an increase which is ongoing. Data from the U.S. Departments of Labor and Census indicate these laws substantially increased the percentage of Black, Hispanic and Asian and female workers. Between 2003 and 2013, the percentage of the labor force that is women, Black, Hispanic and Asian continued to increase, with the largest gains being of Hispanic and Asian employees. The chapter demonstrates how utilizing diversity improves the research and practice of HRD. This increasing diversity requires practitioners to rethink the methods they use to deliver training and development programs. Further, researchers should examine how the increased diversity impacts all areas of HRD, such as training, mentoring, and work-life balance.
Women from Diverse Backgrounds in the Science, Technology, Engineering, and Math (STEM) Professions
Authors: Duran Anna , Lopez Denise
Published: November 2018

The strength of the Science, Technology, Engineering, and Math (STEM) talent pool is a key factor for boosting innovation. This pipeline has been weakened substantially as emerging groups of STEMs, particularly White and minority women, have failed to enter STEM professions at the same rates as White males. Moreover, once women from diverse backgrounds overcome significant hurdles during the educational process, they depart the STEM workplace at alarmingly high rates. Some of the reasons for this phenomenon are discussed in this chapter, along with some solutions about how to decrease these departures. Additionally, ways to focus on the future needs of the changing demographics of the STEM workforce are reviewed. Ultimately, the goal is to offset STEM shortages in intellectual capital and mitigate brain drain and brain migration circumstances so that the U.S. can fully leverage the contributions of high-ability women from diverse groups, eventually benefitting innovation strategies.
The Nature and Role of User Beliefs Regarding a Website's Design Quality
Authors: Grange Camille , Barki Henri
Published: November 2018

Researchers and practitioners have long been interested in identifying the criteria that users consider important in assessing whether a system is worth using. However, past research in this domain has not taken into account the characteristics of a system's design and their quality in a systematic and comprehensive manner, which is likely to have limited the development of actionable design guidelines. The article addresses this issue by suggesting a research model that links user beliefs—which have traditionally been used in IT acceptance and success research (i.e., information quality, system quality, usefulness, and ease of use)—to their beliefs regarding the quality of three categories of a system's design (i.e., visual quality, page layout quality, and navigation quality) and testing it in the context of organizational intranets. The analysis of data collected from 159 intranet website users in three organizations supported the model, suggesting that the three categories of design quality beliefs significantly influenced users' assessment of their system's information quality and system quality.
Investigation on Structural Steel and Silicon Carbide Aluminum Metal Matrix Composite Spur Gears Using PTC Creo and ANSYS 16.0
Authors: Nallusamy S. , Narayanan M. Rajaram , Saravanan S.
Published: November 2018

In the field of Engineering and Technology, Gear is one of the most significant and essential component in mechanical power transmission system. General devices have major applications in various fields like automotives, industrial rotational machines, lifting devices, etc. Gears are usually subjected to fluctuating loads while in action. Gear tooth mainly fails due to excessive bending stress and excessive contact stress. Thus while designing the gear it is very necessary and vital to analyze the stresses induced in the gear for its safe operation. Weight reduction of gear is also one of the main design criteria as it has a great role in improving the efficiency of the entire system. Nowadays engineering components made up of composite materials and plastics find increasing applications. The components made by the composite materials provide reasonable mechanical properties with minimum weight. The objective of this research is to develop the spur gear and pinion assembly model using engineering simulation PTC Creo and imported to 3-D design software ANSYS workbench 16.0 for working on the static structural analysis. The analysis was carried out by considering different materials for gears like structural steel, polycarbonate and 20%AlSiC. From the observed results it was found that, 20%AlSiC composite material has mass reduction of about 45%, hence it is suitable for light weight applications.
Effect of Forming Parameters on Flexible-Bending of Three-Dimensional Tubes
Authors: Sun Shuo , Fu Wen Zhi , Li Ming Zhe , Zhou Yong Ping , Li Ying
Published: November 2018

Flexible-bending is an advanced bending method, especially suitable for small batch production of tubes. The shape of forming parts is mainly related to the offset of the bend die instead of the geometry of it. Based on flexible-bending technology, 3D bending of tubes was carried out by finite element method and the effects of primary parameters on the bending results were studied. The analysis results showed that3D continuous bending of tubes can be obtained by flexible-bending process; die offset, offset speed and feeding speed of tube have a great influence on the bending effect. Bending experiments of 3D tube were carried out by flexible-bending equipment and bending radii of the forming part were measured, the results were very close to that of simulations which proved the effectiveness of simulation.
The Optimization of Vertically Aligned Carbon Nanotubes’ Synthesis According to the Selected Parameters
Authors: Pabjańczyk-Wlazło Ewelina , Suzuki Yuma , Onoda Jungo , Shimizu Tetsuhide , Yang Ming
Published: November 2018

Vertically aligned carbon nanotubes (VACNTs or CNTs) were synthetized by thermal chemical vapor deposition method on the Si/SiO2 substrates, using Al/Fe as catalyst. In the present study, the influence of the annealing duration and synthesis time on the length, grow rate and quality of the VACNTs according to 9 different regimes was investigated. The outcomes of the study was observed using scanning electron microscope, atomic force microscopy and Raman spectroscopy analysis was utilized in order to evaluate the quality of the obtained nanotubes. Results have shown that the length of the VACNTs increases with the rise of annealing time, however only to a certain degree, after which the deterioration of the nanotubes occurs and the reduction of their length is noticeable.