bluuebunny/crossref_metadata_2025 huggingface dataset:
Civil Disobedience, Costly Signals, and Leveraging Injustice
Authors: Lai Ten-Herng
Published: October 2021

Civil disobedience, despite its illegal nature, can sometimes be justified vis-à-vis the duty to obey the law, and, arguably, is thereby not liable to legal punishment. However, adhering to the demands of justice and refraining from punishing justified civil disobedience may lead to a highly problematic theoretical consequence: the debilitation of civil disobedience. This is because, according to the novel analysis I propose, civil disobedience primarily functions as a costly social signal. It is effective by being reliable, reliable by being costly, and costly primarily by being punished. My analysis will highlight a distinctive feature of civil disobedience: civil disobedients leverage the punitive injustice they suffer to amplify their communicative force. This will lead to two paradoxical implications. First, the instability of the moral status of both civil disobedience and its punishment to the extent where the state may be left with no permissible course of action with regard to punishing civil disobedience. Second, by refraining from punishing justified civil disobedience, the state may render uncivil disobedience—illegal political activities that fall short of the standards of civil disobedience—potentially permissible.
VIAGEM AO MUNDO (NEO) FANTÁSTICO DAS CRÔNICAS DE NÁRNIA, DE C. S. LEWIS
Authors: Luciano de Lacerda Maria Simone , Soares Fernandes Auricélio
Published: October 2021

Esse artigo tem como objetivo fazer uma leitura dos elementos do (neo) fantástico e como estes estão inseridos no romance O leão, a feiticeira e o guarda-roupa, publicado originalmente em 1950 pelo autor C. S. Lewis. O romance nos convida a uma viagem pelo reino da fantasia onde acontecimentos sobrenaturais ocorrem dentro do mundo imaginário de Nárnia. Desde tempos imemoráveis, a literatura, assim também como as outras artes, têm representado mundos irreais, situações e ações improváveis, que ultrapassam a realidade; seja pela presença de objetos mágicos, seres encantados ou eventos que estão fora da realidade, o fantástico está presente. Assim, nos basearemos nas teorias de Tzvetan Todorov (2010), Remo Ceserani (2006) e David Roas (2013), para discutir os diferentes pontos de vista que cercam o fantástico no romance de Lewis.
QUESTÕES DE AUTORIA E REPRESENTAÇÃO NUMA LITERATURA PÓS-AUTÔNOMA
Authors: Kurz Giovani T
Published: October 2021

A presença de uma ideia de real no texto literário é urgente desde as primeiras reflexões sobre o que seria literatura — o real como recorte, como representação, como confronto. Neste ensaio, busca-se discutir a presença do real na literatura hoje, partindo, para tanto, do trabalho de Alain Badiou — sobre uma estrutura possível de Real — e das reflexões de Josefina Ludmer — sobre a pós-autonomia da esfera literária — para retornar, no contexto brasileiro, à produção de Conceição Evaristo, autora de grande projeção no cenário contemporâneo, e da recepção do longa-metragem Vazante, de Daniela Thomas. Retoma-se, nesse sentido, o conceito de “lugar de fala”, sistematizado no Brasil por Djamila Ribeiro, em cotejo com a ideia de “escrevivência”, que Evaristo apresenta como norte de sua literatura, dando contornos possíveis à pós-autonomia literária na produção contemporânea.
A Brief Survey on Big Data in Healthcare
Authors: Bayrak Ebru Aydindag , Kirci Pinar
Published: October 2021

This article presents a brief introduction to big data and big data analytics and also their roles in the healthcare system. A definite range of scientific researches about big data analytics in the healthcare system have been reviewed. The definition of big data, the components of big data, medical big data sources, used big data technologies in present, and big data analytics in healthcare have been examined under the different titles. Also, the historical development process of big data analytics has been mentioned. As a known big data analytics technology, Apache Hadoop technology and its core components with tools have been explained briefly. Moreover, a glance of some of the big data analytics tools or platforms apart from Hadoop eco-system were given. The main goal is to help researchers or specialists with giving an opinion about the rising importance of used big data analytics in healthcare systems.
Big-Data-Based Architectures and Techniques
Authors: Behara Gopala Krishna
Published: October 2021

This chapter covers the essentials of big data analytics ecosystems primarily from the business and technology context. It delivers insight into key concepts and terminology that define the essence of big data and the promise it holds to deliver sophisticated business insights. The various characteristics that distinguish big data datasets are articulated. It also describes the conceptual and logical reference architecture to manage a huge volume of data generated by various data sources of an enterprise. It also covers drivers, opportunities, and benefits of big data analytics implementation applicable to the real world.
Intelligent Techniques for Analysis of Big Data About Healthcare and Medical Records
Authors: Kirci Pinar
Published: October 2021

To define huge datasets, the term of big data is used. The considered “4 V” datasets imply volume, variety, velocity and value for many areas especially in medical images, electronic medical records (EMR) and biometrics data. To process and manage such datasets at storage, analysis and visualization states are challenging processes. Recent improvements in communication and transmission technologies provide efficient solutions. Big data solutions should be multithreaded and data access approaches should be tailored to big amounts of semi-structured/unstructured data. Software programming frameworks with a distributed file system (DFS) that owns more units compared with the disk blocks in an operating system to multithread computing task are utilized to cope with these difficulties. Huge datasets in data storage and analysis of healthcare industry need new solutions because old fashioned and traditional analytic tools become useless.
Big Data and Digital Analytics
Authors: Doraikannan Sumathi , Selvaraj Prabha
Published: October 2021

Data becomes big data when then the size of data exceeds the ability of our IT systems in terms of 3Vs (volume, velocity, and variety). When the data sets are large and complex, it becomes a great difficult task for handling such voluminous data. This chapter will provide a detailed knowledge of the major concepts and components of big data and also the transformation of big data in to business operations. Collection and storage of big data will not help out in creation of business values. Values and importance are created once when the action starts on data by performing an analysis. Hence, this chapter provides a view on various kinds of analysis that can be done with big data and also the differences between traditional analytics and big data analytics. The transformation of digital data into business values could be in terms of reports, research analyses, recommendations, predictions, and optimizations. In addition to the concept of big data, this chapter discuss about the basic concepts of digital analytics, methods, and techniques for digital analysis.
Big Data Analytics With Machine Learning and Deep Learning Methods for Detection of Anomalies in Network Traffic
Authors: Narayan Valliammal , Shanmugapriya D.
Published: October 2021

Information is vital for any organization to communicate through any network. The growth of internet utilization and the web users increased the cyber threats. Cyber-attacks in the network change the traffic flow of each system. Anomaly detection techniques have been developed for different types of cyber-attack or anomaly strategies. Conventional ADS protect information transferred through the network or cyber attackers. The stable prevention of anomalies by machine and deep-learning algorithms are applied for cyber-security. Big data solutions handle voluminous data in a short span of time. Big data management is the organization and manipulation of huge volumes of structured data, semi-structured data and unstructured data, but it does not handle a data imbalance problem during the training process. Big data-based machine and deep-learning algorithms for anomaly detection involve the classification of decision boundary between normal traffic flow and anomaly traffic flow. The performance of anomaly detection is efficiently increased by different algorithms.
Social Media Big Data Analytics for Demand Forecasting
Authors: Iftikhar Rehan , Khan Mohammad Saud
Published: October 2021

Social media big data offers insights that can be used to make predictions of products' future demand and add value to the supply chain performance. The paper presents a framework for improvement of demand forecasting in a supply chain using social media data from Twitter and Facebook. The proposed framework uses sentiment, trend, and word analysis results from social media big data in an extended Bass emotion model along with predictive modelling on historical sales data to predict product demand. The forecasting framework is validated through a case study in a retail supply chain. It is concluded that the proposed framework for forecasting has a positive effect on improving accuracy of demand forecasting in a supply chain.
Big Data, Data Mining, and Data Analytics in IoT-Based Healthcare Applications
Authors: Isakki Alias Devi P
Published: October 2021

IoT seriously impacts every industry. The healthcare industry has experienced progression in digitizing medical records. Healthcare services are costlier than ever. Data mining is one of the largest challenges to face IoT. Big Data is an accumulation of data. IoT devices receive lots of data. Big data systems can do a lot of data analytics. The tools can also be used to perform these operations. The big health application system can be built by integrating medical health resources using intelligent terminals, internet of things (IoT), big data, and cloud computing. People suffer from many diseases. A big health system can be applied to scientific health management by detecting risk factors for the occurrence of diseases. Patients can have special attention to their health requirements and their devices can be tuned to remind them of their appointments, calorie count, exercise check, blood pressure variations, symptoms of any diseases, and so much more.
Insight Into Big Data Analytics
Authors: Ahamad Mohd Vasim , Haque Misbahul , Imran Mohd
Published: October 2021

In the present digital era, more data are generated and collected than ever before. But, this huge amount of data is of no use until it is converted into some useful information. This huge amount of data, coming from a number of sources in various data formats and having more complexity, is called big data. To convert the big data into meaningful information, the authors use different analytical approaches. Information extracted, after applying big data analytics methods over big data, can be used in business decision making, fraud detection, healthcare services, education sector, machine learning, extreme personalization, etc. This chapter presents the basics of big data and big data analytics. Big data analysts face many challenges in storing, managing, and analyzing big data. This chapter provides details of challenges in all mentioned dimensions. Furthermore, recent trends of big data analytics and future directions for big data researchers are also described.
Big Data Analytics Adoption Factors in Improving Information Systems Security
Authors: Balmakhtar Marouane , Mensch Scott E.
Published: October 2021

This research measured determinants that influence the willingness of IT/IA professionals to recommend Big Data analytics to improve information systems security in an organization. A review of the literature as well as the works of prior researchers provided the basis for formulation of research questions. Results of this study found that security effectiveness, organizational need, and reliability play a role in the decision to recommend big data analytics to improve information security. This research has implications for both consumers and providers of big data analytics services through the identification of factors that influence IT/IA professionals. These factors aim to improve information systems security, and therefore, which service offerings are likely to meet the needs of these professionals and their organizations.
Big Data, Data Management, and Business Intelligence
Authors: Herschel Richard T.
Published: October 2021

This paper examines big data and the opportunities it presents for improved business intelligence and decision making. Big data comes in multiple forms. It can be structured, semi-structured, or unstructured. The opportunity it presents is that there is so much of it and it is readily available to organizations. Organizations use big data for business intelligence (BI). They can apply analytics in BI activities to assess big data in order to gain new insights and opportunities for decision making. The problem is that oftentimes the data is of poor quality and it contains personal information. This paper explores these issues and examines the importance of effective data management in facilitating sound business intelligence. The Master Data Management methodology is reviewed and the importance of management support in its deployment is emphasized. With the advent of new sources of big data from IoT devices, the need for even more management involvement is stressed to ensure that organizational BI yield sound decisions and that use of data are in compliance with new regulations.
Computational and Data Mining Perspectives on HIV/AIDS in Big Data Era
Authors: Al Mazari Ali
Published: October 2021

HIV/AIDS big data analytics evolved as a potential initiative enabling the connection between three major scientific disciplines: (1) the HIV biology emergence and evolution; (2) the clinical and medical complex problems and practices associated with the infections and diseases; and (3) the computational methods for the mining of HIV/AIDS biological, medical, and clinical big data. This chapter provides a review on the computational and data mining perspectives on HIV/AIDS in big data era. The chapter focuses on the research opportunities in this domain, identifies the challenges facing the development of big data analytics in HIV/AIDS domain, and then highlights the future research directions of big data in the healthcare sector.
Improving Forecasting for Customer Service Supply Chain Using Big Data Analytics
Authors: Subramanian Kedareshwaran , Joshi Kedar Pandurang , Deshmukh Sourabh
Published: October 2021

In this book chapter, the authors highlight the potential of big data analytics for improving the forecasting capabilities to support the after-sales customer service supply chain for a global manufacturing organization. The forecasting function in customer service drives the downstream resource planning processes to provide the best customer experience at optimal costs. For a mature, global organization, its existing systems and processes have evolved over time and become complex. These complexities result in informational silos that result in sub-optimal use of data thereby creating inaccurate forecasts that adversely affect the planning process in supporting the customer service function. For addressing this problem, the authors argue for the use of frameworks that are best suited for a big data ecosystem. Drawing from existing literature, the concept of data lakes and data value chain have been used as theoretical approaches to devise a road map to implement a better data architecture to improve the forecasting capabilities in the given organizational scenario.
Big Data Adoption
Authors: Gangwar Hemlata
Published: October 2021

This study inspects how big data is comprehended by IT experts and the difficulties that they have in respect to the reception of big data examination. The study also looks into the contributing factors of big data adoption within the manufacturing and services sectors in India. The data were analyzed using exploratory and confirmatory factor analyses, and relevant hypotheses were derived and tested by SEM analysis. The findings revealed that relative advantage, compatibility, complexity, organizational size, top management support, competitive pressure, vendor support, data management, and data privacy are the factors that are important for both industries. Through a comparison of the industries, statistically significant differences between the service and the manufacturing sectors were found; in other words, it has been noted that the relative importance of all factors for big data adoption differs between the industries, with the only exception being its complexity – it was found to be insignificant for the manufacturing sector.
Fast Data vs. Big Data With IoT Streaming Analytics and the Future Applications
Authors: Jayanthiladevi A. , Surendararavindhan  , Sakthivel
Published: October 2021

Big data depicts information volume – petabytes to exabytes in organized, semi-organized, and unstructured information that can possibly be broken down for data. Fast data are facts streaming into applications and computing environments from hundreds of thousands to millions of endpoints. Fast data is totally different from big data. There is no question that we will continue generating large volumes of data, especially with the wide variety of handheld units and internet-connected devices expected to grow exponentially. Data streaming analytics is vital for disruptive applications. Streaming analytics permits the processing of terabytes of data in memory. This chapter explores fast data and big data with IoT streaming analytics.
Advocating for Library and Information Services by National Library Associations of Africa in the Context of Sustainable Development Goals
Authors: Chigwada Josiline Phiri , Maturure Rosemary
Published: October 2021

The chapter documents the role that is played by national library associations in advocating for the development of library and information services for the attainment of the United Nations (UN) 2030 Agenda in Africa. A structured records review and literature review was done to solicit information on how national library associations are taking part in achieving the sustainable development goals. Websites of associations were looked at and participants were drawn from national library associations in Africa, Standing Conference of Eastern, Central and Southern Africa Library and Information Associations (SCECSAL), African Library and Information Association and Institution (AfLIA), and the International Federation of Library Associations (IFLA). The results indicated that national library associations are facing challenges in their advocacy work and there is a need to offer training to library staff and improve communication between librarians and policymakers.
Innovations Through Mergers and Acquisitions in the Pharmaceutical Sector
Authors: Wajid Abdul , Khan Kashif Hasan , Handa Harish
Published: October 2021

Pharmaceutical firms have a noteworthy contribution in SDGs (Sustainable development goals). Their unceasing innovation of low-cost medicines and discovery of lifesaving drugs can assist in achieving the SDG 3 (good health and well-being). Having gone through the M&A scenario in the global pharmaceutical industry and the amount disbursed on R&D, the authors tried to find answers to a few important questions to understand whether these activities are in line to achieve global goals i.e. first, does Merger and Acquisition M&A in pharmaceutical sector increase innovations? Second, how can companies fully utilize M&A activities to increase innovation in the pharmaceutical sector? Third, is there any association between R&D expenditures and innovation outcome? We theoretically analyze and consolidate academic research on how M&A activities support innovation in the pharmaceutical industry. The present chapter also tried to unveil the association between R&D expenditures and the firm innovation as measured by the number of patent applications by selected Indian pharmaceutical firms.
Predatory Open Access Journals and Attainment of Educational Sustainable Development Goals in Africa
Authors: Olatokun Wole Michael , Omuinu Ojinga Gideon
Published: October 2021

Putting into consideration the objective of the SDG 4, it would be important to note that the provision, access, and use of information resources such as open access (OA) journals is a sine qua non for quality education in Africa. Despite its importance to the education system, open access journals have been proliferated by predatory journals. Stakeholders in the OA movement and academia claim that predatory publishing is a big problem for scientific communication and could undermine development efforts. Hence, the increasing use of predatory open access journals could affect the attainment of SDGs in Africa; hence, there is the need to raise awareness to enhance the possibility of attaining the SDGs in Africa. This chapter will among others enumerate the possible havocs predatory open access journals can create and the setbacks on the attainment of SDGs in Africa. It will also spell out the necessary prospects of curtailing these havocs and setbacks towards providing quality-based information resources such as open access journals to the education societies in Africa.
Sustainable Development Through Franchise Innovation in the Digital Economy
Authors: Chen Ye-Sho
Published: October 2021

Franchising has been popular as a strategy for businesses to grow and innovate. It is even more so in today's business need of developing digital solutions for sustainability. In responding to United Nations' Sustainable Development Goals, using franchise innovation to replicate proven sustainable solutions in other parts of the world is an effective approach to scaling up solutions to achieve Sustainable Development Goals. The essence of a successful franchise innovation lies in managing the good relationship between the franchisor and the franchisee. In this paper, we show that digital business solutions for sustainability play an important role in growing and nurturing such a good relationship. Specifically, we discuss that franchise innovation via Netchising, combining the digital power of the Internet for global demand-and-supply processes and the international franchising arrangement with local business solutions for sustainability, is an entrepreneurial approach to communities' development where economic and social aspects are mutually supportive.
Smart Cities and Sustainability
Authors: Mele Caterina
Published: October 2021

The term smart city is often synonymous with a sustainable city. The word smart implies the use of digital technology that serves to make processes and services more efficient and to connect the different actors on the urban scene. However, this is no guarantee of sustainability. A city can become sustainable if it changes its metabolism and from linear to circular as in nature's ecosystems. For this to happen, it is necessary to overcome the paradigm of quantitative economic growth based on the infinite substitutability between natural and economic capital. If smart city governance stakeholders primarily pursue profit according to the logic of the free market, the city may be smarter and efficient in the use of energy and resources, but it is not sustainable, often not even inclusive. The challenge of sustainability implies a paradigm shift and the use of digital technologies at the service of the collective good. In this context, after a general analysis of the characteristics of smart cities, the chapter focuses on an Italian case study, Turin Smart City.
Green Consumer Behaviour
Authors: Akhtar Muhammad Farooq , Mohd Suki Norazah
Published: October 2021

Environment preservation is a global concern. Textile industry disposes of chemicals which effects environment and human life (water borne diseases). United Nations develops 17 Sustainable Development Goals (UNSDG's) to protect environment. Five SDG's addressing textile industry namely good health and well-being, clean water and sanitation, responsible production and consumption, climate action and life below water. Role of textile industry to achieve SDG's is inevitable. Textile policy of Pakistan 2014-19 confirms that international buyer is concerned about the environment which evidently shows potential of green marketing in textile sector of Pakistan. Green marketing encourages environment friendly marketing practices (product, price, place, promotion). The objective of this study is to integrate the theory of planned behavior and technology acceptance model. Green consumer behavior of textile sector of Pakistan is conceptualized with this extended lens. This study enhances the body of knowledge by conceptualizing green consumer behavior of textile sector through extended model. Practically, this study remains beneficial for marketing professionals and researchers to understand green consumer behavior of textile sector. Success of green marketing is the success of society to curb environmental problems.
A Privacy-by-Design Implementation Methodology for E-Government
Authors: Gerunov Anton A.
Published: October 2021

The issues of privacy and data protection are gaining in prominence, especially against the backdrop of changing citizen preferences and the enforcement of strict legislations such as the EU’s General Data Protection Regulation. Pursuant both article 25 of the Regulation and following good practice, public sector institutions need to apply the principle of Privacy by Design (PbD) to their Information Systems. However, there is limited consensus on how this application is to be carried out. This article aims to fill this gap by constructing an implementation methodology with a particular focus on the e-government domain. This is done by using a design science approach leveraging practical experience and extant literature to design the methodology in accordance to user needs, existing legal requirements, and best practices. The proposed new methodology is applied to a real-life project from Bulgaria’s e-government road-map and evaluated by project stakeholders and experts.
Evaluating the Impact of Verified Government Accounts on the Knowledge, Attitudes, and Intentions of Saudi Residents During the COVID-19 Pandemic
Authors: Kayal Ghadeer , Balfaqih Hasan , Durani Farah , Akeel Hatem , Abukwaik Abdulwahab , Azudin Norozzati
Published: October 2021

Governments utilize various media channels to disseminate knowledge pertaining to infectious diseases such as COVID-19. When it was declared a pandemic, society began to depend on the media for critical information and countermeasures that would facilitate tackling the virus. The main objective of this research is to examine the impact of verified Saudi government accounts across various media outlets on respondents’ knowledge, attitudes, and intentions regarding COVID-19.A structured online questionnaire was distributed and 315 responses were used for analysis. The results were analyzed using SPSS. The results indicate that the residents of Saudi Arabia have adequate knowledge concerning the symptoms, precautionary measures, and modes of transmission of COVID-19. The respondents have gained this knowledge from verified Saudi government accounts across various media outlets, most prominently via social media..
Bioremediation Potential Study of Algae
Authors: Rajput Ritu Singh , Pandey Sonali , Bhaduria Seema
Published: October 2021

The Dravyavati River (Amanishah Nala) as "the existing line of Jaipur" is the most contaminated channel in Jaipur. It additionally demonstrates its potential for self-filtration. Bioremediation is a contamination control innovation that utilizes natural frameworks to speed up the debasement or change of different dangerous organism to less destructive structures. Bioremediation is an acute and productive way for sterilization that has turned out to be progressively extended nowadays to close or weaken environmental contamination. The potential for green algae in wastewater remediation is anyway a lot more extensive in degree than its energy job. Water samples collected from Dravyavati River, Jaipur, India and identified algae through Microscopic method. The green algae assume a vital job in controlling and biomonitoring of genetic pollution in amphibian biological communities. Algae are critical bioremediation operators and areas of now being used in wastewater treatment.
DICI Engine With Diesel and CNSL Biodiesel Fuel as a Biodegrade Substitute
Authors: Krishna B. Murali
Published: October 2021

The most popularly used prime mover is compression ignition (CI) engine, which moves a large portion of the world’s good and majorly uses diesel as a fuel in turn leads ever increasing demand throughout the world wide. Also, one of the largest contributors to environmental pollution is diesel fuel. The resolving solution for this problem is use of renewable fuel i.e. Biodiesel. Biomass in the form of cashew nut shell (CNSL) represents a new energy source and abundant biodegradable source of energy in India. The Biodiesel made from CNSL and its blend with diesel are promising alternative fuel for diesel engine. This paper presents performance evolution results of single cylinder diesel engine with different loads were studied using Diesel and CNSL Biodiesel [with 5 to 30% proportion] blends. The results are compared with neat diesel operation and concluded that 25 % CNSL Biodiesel blend is the optimum.
Autobiography as a Source of Ecological Sustainability With Reference to Literature
Authors: Mishra Deepanjali
Published: October 2021

Literature has been very successful in addressing many ecological and environmental problems in relation to the living beings It has been long that the relationship between the ecology and literature is established with the wide range of literary works having its base on environment and its issues. The paper elucidates how ecological imbalance plays an important role in making people captured and captivated under staunch religious practices in the reign of Talibanis for whom ecological mishaps became the foreground to control the Swat Valley substantiates that ecological mishaps finally resulted in making people submissive and succumb to the devout religious practice thereby coming under religious dominance of the religious extremist groups. The people’s surrender and acceptance towards the Talibani ways finally brought social changes like the cessation of freedom of women and termination in women education by making women cut off from the free society thus establishing a nexus between the regulations of the rulers and the fettle of the ruled with the ecological adversities
The Role of CSR Strategic Integration in the CSR Organizational Performance Link Context of Qatar
Authors: Al Bakri Anas , Obeidat Shatha M. , Farrag Dalia A. , Al-Esmael Bader A.
Published: October 2021

explore the contribution of CSR strategic integration to the creation of strategic advantage. Data were collected from companies located in different Qatari sectors. As the most competitive economy in the Middle East, Qatar is experiencing rapid economic growth. The selected companies in this study represent different sectors in Qatar, such as oil and gas, financing and banking, building and construction, and education sector. A total of 100 companies were identified. Those companies represented the sample of this study.The study relied on 20 items to measure CSR activities. In order to measure the study hypotheses, the PLS to structural equation modelling was used. In particular, CSR strategic integration is significantly and positively related to the adoption of CSR activities. the adoption of CSR activities is significantly and positively related to organizational performance. the findings of this paper asserted that CSR strategies play a pivotal role in organizations across Qatar and their use has increased tenfold in recent times with modern practices and street-smart employees
Assessment of Local Community Perspective About Caiman Management in the Mamirauá Reserve, Brazil
Authors: Franco Diogo de Lima , Botero-Arias Robinson , Filho Rodolfo Araújo Moraes , Vital Tales Wanderley
Published: October 2021

The aim of this study was to identify key aspects for the development of community-based caiman management in the Mamirauá Sustainable Development Reserve (MSDR) from the perspective of the communities. Between 2014 and 2017, SWOT matrices were used to discuss opportunities and challenges of caiman management in the MSDR. The positive and negative aspects had a similar variation pattern, which suggests that the communities had a homogeneous perception, but there was 27% variation in opportunities and threats. Strengths and opportunities were cited approximately 26% more often, indicating a positive perspective. The main positive aspects refer to environmental conditions, capacity of the organizations and improvement of the market, while current market conditions, hunting and problems of organization and legal adequacy, were perceived as major challenges. The community-oriented perspective analyzed by a SWOT matrix can be a valuable tool to promote a comprehensive understanding of the productive system of caiman management.
Social Technologies as a Social Sustainability Practice
Authors: Alves Fernanda Salvador , De-Carli Eduardo , Segatto Andrea Paula , Virtuoso Luiz Aurélio
Published: October 2021

Social Technologies (ST) can emphasize social sustainability and provide improvements in human beings’ basic condition. This study aims to analyze whether ST carried out between restaurants and their partners also promoted social sustainability. It is a qualitative, descriptive and multicase study, with cases selected by judging. It was possible to realized that the cooperative experiences were characterized as ST, since they were activities organized and systematized, with social relevance and effectiveness and that dialogued amongst knowledge, so that it would promote social sustainability. The cooperative experiments here studied fit in the social sustainability criteria, where they promoted opportunities for stable jobs, income generation, promotion of workers' rights, professional development, training and increase of the skills of those involved. Information sharing and trust were fundamental to the success of actions. As not all partnerships and processes were formalized, social relationships and reciprocity helped the development of activities.
The Influence of Social Status, System Pressure, Limited Facilities, and the Work Environment on Aspirations to Improve Teacher Professionalism in Rokan Hilir Regency
Authors: Yoserizal  , Rosaliza Mita , Susanti Rina
Published: October 2021

To describe the condition of the teachers in Rokan Hilir Regency according to the type of education unit and the level of education in a more accurate and clear manner and to find out the extent to which social status, system pressure, limited facilities and the work environment influence the aspirations of public school teachers in Rokan Hilir Regency to improve their professionalism. The population in this study were public primary school teachers who served in Rokan Hilir Regency, Riau, Indonesia. The primary data was collected by circulating questionnaires with closed questions and equipped with several open questions to obtain opinions that are free from the respondents. The findings are the aspirations to increase professionalism are in between middle and low level, such aspirations indicate that there is a tendency for ritualism in the form of obedience to ‘institutional means’. No previous study explain the tendency of the emergence of ritualism symptoms of teachers in school by measuring their aspiration level to improve professionalism
Environment is Not My Only Motivation for Anti-Consumption in Fashion Brands
Authors: Kaur Jaspreet
Published: October 2021

The debate in this research paper is that the sustainability concept doesn’t always have to be sold to a customer with the help of environment and the green credentials. Rather the motivating the consumers by environmental concerns of sustainability, the same should be done in a way that it relates to the act of the consumer’s practical daily life and thus enhances the anti-consumption for sustainability. This paper does a conceptual study of the motivation for anti-consumption for fashion brands. The paper list the various motivations of a consumer where the consumers rationality of price, happiness from the product, dissonance with purchase, efficient use of resources, self interest, product mismatch, identity avoidance, socializing through sharing, and cultural myth. The paper aims at building a conceptual model with these factors of motivation o for anti-consumption in contrast to the usual environmental and non-moral science factors.
Green Supply Chain Performance Analysis Under Industry 4.0 Using Fuzzy Intellectual Approach
Authors: Krishna Srinivasa , Ali Mohammed Mujahed , Thakur Shailesh Singh , Rao K. T. Vigneswara
Published: October 2021

SThe industry 4.0 possesses the intelligent network and interrelation with components of production systems and provides the feedback digitally across the industrial supply chain. In last decade, the growth of industry 4.0 research is expanded across industries i.e. steel, oil, electricity pulp and paper industry. Supply Chain 4.0 is the system of the Internet of Things (IoT), which explores the advanced flexible operations, smart supply chain network, and the enhances the utility of smart analytics of big data in SCM i.e., introducing the sensors, wiles less network throughout supply chain, build the networks, and automate operations to considerably improve the performance and customer’s satisfaction. In this research paper, a green supply chain 4.0 multi level hierarchical model is established by considering the eleven green practices. The model is assisted by in centre of Centroid Method for ranking industry 4.0 industrial practices. The results are exhibited in conclusion section.
Development of a New Framework Based on Sustainability and Responsible Management Education
Authors: Ben Prince John , Nayak Bandana
Published: October 2021

The paper discusses the prevailing situation regarding management education and advocates adoption of a framework that sheds light on how principles of responsible management education along with a sustainability agenda can be incorporated into the content and process of higher education. The study undertakes an analysis of the higher education discipline through reviews of research papers, trends and developments in the field. It also advances a new framework that incorporates the various dimensions of sustainability and responsible management education. This entire context is woven intricately into the fabric of the principles of responsible management education set forth by the United Nations. For industry practitioners, the study exhorts them to partner closely with academia in developing better management graduates who have imbibed a sense of purpose and strong values; for academicians, the study advocates the need for subtly changing the content and process of education, thereby instilling in students, a deeper sense of purpose and values.
Guideline for Environmental Impact Reduction From Donations of Religious Offerings in the Thailand 4.0 Era
Authors: Phoochinda Wisakha
Published: October 2021

This study aimed to study donor behavior for religious offerings and suggest the environmental impact reduction. Data was collected from 1200 donors to 12 temples using quota and accidental selection. Interviews with at least two temple representatives or monks responsible for environmental affairs and with at least three shops selling goods for religious offerings per temple were done. Data analysis was conducted with description and issue grouping. Behavior of environmental management from the donations of most donors was at fair level. Donors understood impact and had knowledge and understanding of waste management at high level. Environmental impact from the donations was mostly from waste. Guidelines to reduce environmental impact included encourage the donors to recognize importance of waste management such as setting up of signs to campaign for waste separation, waste separation as a form of merit making, waste management using 3R for temple employees, religious offerings shop and donors as well as installation of waste sorting bins at points of waste disposal.
The Detection of Brand Identity and Image Using Semantic Network Analysis
Authors: Im Euntack , Kim Dukjin , Jwa Minhye , Gim Gwangyong
Published: October 2021

In Philip Kotler’s Hyper-connected, social-based market 4.0, consumers and businesses are formed in horizontal relationships through countless channels, and consumers decide whether to consume their products or services through their individuality and awareness of the people around them. Therefore, the importance of the brand as a company's intangible asset is growing. This paper tried to analyze brand identity based on Kapferer brand identity prism model. Based on Kapferer's theory that strong brands come from the combination of brand identity and image, it tried to identify whether brand identity and brand image match through semantic network analysis by using text extracted from social media and web page of Samsung Electronics, which ranked 7th in global brand value in 2017. As a result of the analysis, it was confirmed that the brand identity and the image were consistent and that there was no significant difference.
A Collaborative Road Traffic Regulation Approach Using a Wireless Sensor Network
Authors: Rida Nouha , Hasbi Abderrahim
Published: October 2021

In this paper, we detail and evaluate a coordinated approach to determining the sequence and duration of green lights at several intersections as part of the Intelligent Transportation System. We present the architecture of a wireless network used to track variations in adjacent intersections. Our algorithm exploits the collected data to determine the sequence of the green lights based on three objectives: (i) reduce the length of queues in the intersection, (ii) prioritize sending vehicle flows to intersections with lower traffic density than the most congested, (iii) synchronize traffic signals between adjacent intersections to create green waves. Traffic simulations have been simulated by the SUMO traffic simulator, they show that our solution manages to react to traffic change and reduce waiting time compared to isolated control strategies.
Exploring Factors Affecting the Attraction and Retention of Academic Employees at the Durban University of Technology
Authors: Hoque Muhammad , Tshutsha Noxolo
Published: October 2021

The objective of the study was to explore the factors affecting the attraction of academic employees and assessed the factors influencing their retention at the Durban University of Technology. This was a qualitative study conducted among 12 academics who were purposefully selected. The study found that the university was not doing enough to attract academic talent as job offers appeared to be the dominant reason for employees entering the employ of the institution. The study also found training and mentorship, flexible working hours, information, equipment and resources, job satisfaction and challenging jobs, to be the factors affecting the retention of academic personnel at the institution. Therefore, management should develop effective employee attraction and retention strategies by improving the benefit and remuneration system, culture and working environment.
The Role of Supply Chain Integration and Agile Practices in Improving Lead Time During the COVID-19 Crisis
Authors: Alzoubi Haitham M. , Elrehail Hamzah , Hanaysha Jalal Rajeh , Al-Gasaymeh Anwar , Al-Adaileh Raid
Published: October 2021

Long lead-time is hurting the competitiveness of the supply chain, while the shorter is considered to be better in order to add value to the customer and to improve the supply dependability. Supply chain integration increases the coordination and shortens the processes. Agile practices also enable the supply chain to be more responsive to market variability. The aim of this research is to investigate the impact of supply chain integration and agile practices on lead-time reduction at Dubai HealthCare City. An empirical survey has been conducted in which the data were retrieved from 150 respondents and then analyzed using SPSS to examine the model. The result also showed a positive relationship between supply chain integration and lead-time reduction. Meanwhile, results indicated a positive relationship between agile practices on lead-time reduction. The study recommends promoting companies’ capabilities through flexibility and information sharing to achieve supply chain integration and agile practices such as responsiveness and alertness.
Leveraging Virtual Reality for Bullying Sensitization
Authors: Paracha Samiullah , Hall Lynne , Shah Naqeeb Hussain
Published: October 2021

Virtual reality games are known for creating the feelings of presence, ethical reasoning, and reflection in their users. In what ways can we use the design and gameplay of a virtual reality game to make moral demands of players and encouraging them to reflect on their negative behavior? In this article, the authors propose an ethically notable game as one that provides sensitization opportunities through both design and gameplay for encouraging ethical reasoning and reflection in children. To measure success, they present the results of two participatory design workshops with children and a user study carried out at Japanese elementary schools. The results underline the effectiveness of game-based learning to raise awareness of children on bullying victimization and eventually producing bystander intervention behavior.