bluuebunny/crossref_metadata_2025 huggingface dataset:
Resistance Through Praxis
Authors: Morales Samuel , Bierbower Jordan
Published: July 2021

Each year students attending higher education institutions, which recognize fraternity and sorority chapters, can choose to engage in the process as part of their involvement on campus. However, their participation is often reliant on chapter practices which may traditionally be rooted in exclusion. The struggle to integrate diversity, equity, and inclusivity practices within these organizations has become evident given the changing tides of our institutional climate. This chapter will address the process taken at California State University, Fullerton's Fraternity and Sorority Life (FSL) area to bridge the gap of developing both inclusive conversations and environments for Historically White Fraternal Organizations (HWFO) on campus. Consequently, this chapter aims to demonstrate how change and resistance to the dominant narrative can be accomplished through implementation of intentional, thought-provoking rhetoric, curriculum, and conversation to change the perspective of students and how they can act as agents of change to create inclusive environments.
Strategic Response to the Corona Pandemic Crisis
Authors: Kovid Raj K. , Kumari Deepa , Pandey Sharadindu
Published: July 2021

The corona pandemic is unique in its own way of creating impact on lives of people across the globe. It has affected the women entrepreneurs disproportionately as they had to fight on two fronts – business and family. However, they showed resilience and pivoted their business approaches to withstand the pandemic crisis. The authors discussed with experts from academics and industry and referred to secondary sources to identify the cases of women entrepreneurs whose responses to the crisis reportedly appeared to be counter intuitive in context of India. The chapter captured and analyzed their responses to the crisis from secondary sources. The chapter concludes that women entrepreneurs' responses do not endorse the gendered dichotomy with respect to risk-reduction and seizing the opportunity. The women entrepreneurs were very much receptive to adopt information technology and well-intended to seize the opportunity during the pandemic crisis. The chapter contributes by providing new insights about women entrepreneurship contextualized in India, an emerging market.
Sustainability Practices
Authors: Seppi Jeffrey S.
Published: July 2021

This study has applied stakeholder theory as a lens to focus on mitigating future health crises by learning from COVID-19, working collectively, using proven business and scientific strategies to create a cohesive pandemic mitigation plan for local and global entities. Utilizing publicly available data on the COVID-19 pandemic, a quantitative analysis was performed using Pearson's r correlation coefficient that tested for relationships between the strictness of pandemic control measures and the reported anxiety, depression, and the number of COVID-19-related deaths. The analysis results revealed that the degree of strictness of pandemic control measures suggested no relationship with the growing mental health crisis and the number of COVID-19 deaths. Therefore, it has been recommended that stakeholders of the world collectively work to proactively prepare for the future to mitigate the effects of health crises and pandemics and thereby secure a chance at long-term survival.
The Responsibility Paradox
Authors: Wang Amy Yamei , Zhang Cheryl Qianru , Liao Eko
Published: July 2021

As countries start to emerge from the pandemic with the development of vaccines, the impact of COVID-19 and the changes it has initiated in the business world will continue to be felt across industries. In this chapter, real-life stories from three different industries—chain restaurants, interior design, and cafés—and the lessons they have learned will be discussed and analyzed. The role of corporate social responsibility (CSR) in SMEs is highlighted as a strategy in which organizations can promote the long-term sustainability of their business. Then, three companies in various industries will be introduced with details about how COVID-19 has changed their outlook and goals in competing with other firms and the ways in which they confronted the pandemic. Finally, the authors share implications and offer helpful recommendations as to how SMEs can leverage resources smartly to engage in smart CSR initiatives in better dealing with a global health crisis and play a larger role in taking care of stakeholders in the long run.
The Effect of Using Technology in L2 Listening
Authors: Kang Tingting
Published: July 2021

Due to the nature of listening, multiple media tools have been utilized in second language (L2) listening instruction for a long time. This chapter recruited the most recently published empirical studies in addition to the meta-analysis conducted in 2015 (Kang) and analyzed available evidence on the effects of different multiple media tools on L2 listening comprehension. The results revealed a medium-to-large effect of multiple media tools on listening comprehension in between-group designs (Cohen's d = .70), which was almost identical to the result observed five years ago. The effects of individual multiple media tools have also been statistically synthesized. Moderator analysis could help L2 educators and test developers make decisions on applying different multiple media tools in the fields of L2 instruction and assessment. Specifically, subtitles, captions, as well as self-regulated listening and slow speed were recommended to teachers and test developers as a means to improve learners' listening comprehension.
The Effect of Audio and Video Modality on Perception of Reduced Forms
Authors: Gulozer Kaine , Kocoglu Zeynep
Published: July 2021

Reduced forms (RFs) spoken by native English speakers have been challenging on the part of the second language (L2) learners. This chapter aims to address suprasegmental features to Turkish preparatory language school students in relation to L2 listening comprehension. Considering the limited research on RFs in learning English as a L2 context, this pre-test post-test control group design study aimed to explore whether the instruction of five RFs in sentential level results in any difference in listening comprehension test performance. The five forms entail contraction, assimilation, flap, elision, and linking. A total of 343 were recruited, and RFs instruction was delivered through the web page designated for the study for five weeks, and the performance of the eight groups was measured twice throughout the study. The findings indicated that sentence level of RFs instruction through web-based learning facilitates the listening comprehension of RFs.
The Impact of Online and Face-to-Face Peer Feedback on Pre-Service Teachers in EFL Academic Writing
Authors: Kaçar Işıl Günseli
Published: July 2021

This mixed-method 14-week case study investigated the impact of peer feedback on Turkish English as a foreign language (EFL) prospective teachers' attitudes to and performance in a blended academic writing course in the tertiary setting. The peer feedback provision process involved online and face-to-face written peer feedback on weblogs, enhanced with a six-hour training phase for peer feedback. Weekly student journals, group feedback conferences, the end-of-the-semester survey, and the pre- and post-writing tests were used in the data collection. The qualitative data were analyzed through content analysis and the quantitative data via descriptive statistics and an independent paired sample t-test. The study indicated that the use of face-to-face and online peer feedback together was perceived as beneficial and effective by EFL pre-service teachers and that it led to a relatively successful performance in academic writing. It is suggested that participants unfamiliar with peer revision be provided with training and continuous scaffolding/guidance to ensure the effectiveness of the process.
Significance of Transcript Availability for Viewing TV Coverage of US Elections
Authors: Zengin Buğra
Published: July 2021

With its engaging spectacle and discussion of key issues, the US presidential election debates draw high viewership of not only Americans but also people of other nationalities through not only US-based television channels but also other mainstream channels around the world. Since many of the viewers are likely to be the learners of English as the most widely used Lingua Franca, who listen for as well as to the content, they should be helped with their processing of what they listen to, given the listening comprehension challenges. The demanding factors of speech rate and vocabulary necessitate the use of transcripts as an aid for listening comprehension. Transcripts facilitate the required vocabulary buildup and allow for semantic mapping through frequency counts of recurrent key words or word strings uncovering linguistic patterns and laying foundation for the enriching listening practices. Therefore, this chapter focuses on using transcripts accordingly.
Benefits of Film Adaptations of Literary Works for English Language Learning
Authors: Öztürk Sunay , Zengin Buğra
Published: July 2021

Despite their potential in language learning, films have not been covered adequately in academic research except some attempts to develop strategies. One of these strategies has been to compare film scripts and their translations, to identify chunks, technical terms, and creative language examples and to list them with their translations, and to do creative dialogue writing activities especially by modeling these scripts where chunks are used extensively. Believing in the importance of evaluating the film scripts with their translations, this study aims to investigate the processes the researcher/teacher's high school students went through in learning and using the target language starting with the use of the film adaptations of the literary works, writing their scripts modeling the film scripts, acting their own scripts, and shooting their performances. The mixed method research design was used with the triangulation of the qualitative and quantitative data. The 68 high school students' views were investigated with Likert scale (1-5) questionnaire along with their comments about the items.
Sustainable and Responsible Entrepreneurship for Sustainable Energy Development
Authors: Streimikiene Dalia , Mikalauskiene Asta
Published: July 2021

The linkages between sustainable energy development and entrepreneurship are focussed, and studies in this field are critically discussed in this chapter. The new sustainable energy technologies and other innovations are presented, such as solar powered trains, electric tires, liquid sunlight, etc. The role of entrepreneurs in developing new sustainable energy technologies and other innovations in sustainable energy is emphasized. The main barriers and drivers of entrepreneurship and innovations in sustainable energy are scrutinized and grouped in regulatory, economic, informational, technological, etc. barriers based on comprehensive literature review. The policies and measures targeting these barriers are analysed and discussed.
Managerial Pamperdom and Prestige Entrepreneurship
Authors: Özsungur Fahri
Published: July 2021

Entrepreneurship has started to be used as a tool for individual interests as well as the implementation of innovative ideas. Sustainability in entrepreneurship requires corporate social responsibility and ethical principles in leadership. The fact that individual interests are a hidden aim in entrepreneurship puts justice and ethics in the background. Entrepreneurship is based on sustainable, ethical, corporate innovation, and creative thinking. Entrepreneurship, which is set forth with the individual secret goals of entrepreneurs, causes important problems in leadership and managerial context. Especially, managerial pamperdom and prestige entrepreneurship that emerged in professional organizations are introduced to the literature for the first time. It is thought that this chapter will make significant contributions to the fields of entrepreneurship, business, management, and strategy.
Moderated Mediation Effect of Institutional Environment and Entrepreneurship Orientation
Authors: Eniola Anthony , Sajuyigbe Ademola , Sanyaolu Wasiu , Obi Nwoye
Published: July 2021

Business enterprise is a significant driver of feasible financial development, autonomous of social, economic, and international conditions. Nonetheless, the creation and support of effective small and medium-sized enterprises (SMEs) zeroed in on business is a significant test. This exploration took a gander at the job of enterprising self-efficacy and the institutional environment in the innovative direction and improvement of an effective SME dependent on the business. The objective is to coordinate the institutional environment, self-efficacy, and resolve the previously mentioned difficulties for the development of business enterprise-based SMEs in Nigeria. The investigation utilized an adapted scale; information was gathered from owners of small and medium enterprises in Nigeria. The exploration utilized PLS-SEM to assess the proposed moderate intervention model. The discoveries of the examination empowered the job of innovative self-viability and the institutional atmosphere in the advancement of an effective SME dependent on the business enterprise.
Nudges for Enhancing Sustainable Energy Consumption in Households
Authors: Streimikiene Dalia , Stankuniene Gintare
Published: July 2021

This chapter explores interventions of energy consumption in households and their impacts on behavioural changes by addressing the main behavioural barriers of sustainable energy consumption. The main objectives of this chapter are to identify the importance of nudges in reducing energy consumption and implementation of renewable microgeneration technologies and to develop recommendations for tailor-made interventions. A qualitative research method is applied to analyse the climate change mitigation measures linked to energy consumption in households based on systematic literature review. Traditional economic and regulatory policy tools can be effectively supplemented by nudges; however, more research is necessary in this field.
Right to Education in Mother Language
Authors: Norouzi Nima , Movahedian Hussein
Published: July 2021

The right to use one's mother language is affected by examining the nature of this right in the international human rights system. Speaking of linguistic rights requires examining this right in the context of general human rights and the rights of minorities. On the one hand, the right to use one's mother tongue is rooted in the “right to be different,” which itself is inspired by human dignity, and, on the other hand, because the linguistic rights of the majority are better guaranteed than the linguistic rights of the minority. This chapter examines the right to use one's mother tongue in the minority system; therefore, language rights can be divided into two approaches based on tolerance, which prohibits any interference with the choice of language and its use by governments, as well as an extension-based approach that seeks to protect the right to use language in various fields such as education, court, public arena, and government institutions.
Social Media Data Into Performance Measurement Systems
Authors: Agostino Deborah , Arnaboldi Michela , Azzone Giovanni
Published: July 2021

Social media data are spreading widely across the world with a number of public institutions now active on social media. Much attention is being paid to how public institutions can exploit social media, for example, to provide better public services or engage with the general public. Little is, however, known about the potential offered by the data generated through social media, in particular, the possibility of applying social media data formally within a performance measurement system (PMS). The aim of this chapter is to explore how social media data can be integrated into a PMS for a public institution, proposing in this respect a framework of analysis. This framework places the decision-maker at the centre of the cycle and it consists of three main phases: the collection of social media data, the computation of indicators, and the visualization of data.
Social Networking Data Analysis Tools and Services
Authors: Krishna Gopal
Published: July 2021

Social networks have drawn remarkable attention from IT professionals and researchers in data sciences. They are the most popular medium for social interaction. Online social networking (OSN) can be defined as involving networking for fun, business, and communication. Social networks have emerged as universally accepted communication means and boomed in turning this world into a global town. OSN media are generally known for broadcasting information, activities posting, contents sharing, product reviews, online pictures sharing, professional profiling, advertisements and ideas/opinion/sentiment expression, or some other stuff based on business interests. For the analysis of the huge amount of data, data mining techniques are used for identifying the relevant knowledge from the huge amount of data that includes detecting trends, patterns, and rules. Data mining techniques, machine learning, and statistical modeling are used to retrieve the information. For the analysis of the data, three methods are used: data pre-processing, data analysis, and data interpretation.
The Role of Social Media Tools in the Knowledge Management in Organizational Context
Authors: Chedid Marcello , Teixeira Leonor
Published: July 2021

The advancement of the economy based on knowledge makes knowledge management critical for organizations. The traditional knowledge management systems have presented some shortcomings on their implementation and management. Social media have demonstrated that are not just a buzzword and have been used increasingly by the organizations as a knowledge management component. This chapter was developed aiming at exploring and critically reviewing the literature of social media use in organizational context as a knowledge management component. The review suggests that, while traditional knowledge management systems are static and often act just as knowledge repositories, social media have the potential for supporting different knowledge management processes that will impact on the organizational culture by encouraging on participation, collaboration and knowledge sharing. Despite their recognized impact on knowledge management processes, some uncertainty remains amongst researchers and practitioners and is associated to the difficulty in understanding and measuring their real impact.
Consumer Engagement in Social Media Platforms
Authors: Kaufmann Hans Ruediger , Manarioti Agapi
Published: July 2021

If ‘to be social' is the sum of people's online interaction intentions, that can be monitored by marketers but not coerced, how can we make best use of these powerful new media? The answer lies in understanding the internal, psychological needs that are fulfilled by the social media and how they are demonstrated and testified by liking, sharing and engaging in general with specific pieces of content, while rejecting others. In this environment, marketers are called to develop a “brand as a person” strategy, in order for their brands to mingle and interact with consumers beyond the traditional marketing communication framework. In this chapter, we explore and discuss the strategic use of the social media as a concept that needs to be thoroughly understood but seemingly hasn't been yet by a large majority of marketers.
Augmented Context-Based Conceptual User Modeling for Personalized Recommendation System in Online Social Networks
Authors: Alnahhas Ammar , Alkhatib Bassel
Published: July 2021

As the data on the online social networks is getting larger, it is important to build personalized recommendation systems that recommend suitable content to users, there has been much research in this field that uses conceptual representations of text to match user models with best content. This article presents a novel method to build a user model that depends on conceptual representation of text by using ConceptNet concepts that exceed the named entities to include the common-sense meaning of words and phrases. The model includes the contextual information of concepts as well, the authors also show a novel method to exploit the semantic relations of the knowledge base to extend user models, the experiment shows that the proposed model and associated recommendation algorithms outperform all previous methods as a detailed comparison shows in this article.
The (In)Effectiveness of In-Stream Video Ads
Authors: Semerádová Tereza , Weinlich Petr
Published: July 2021

Video represents the most shared type of online content. The ability of this media to capture and convey a message in an interactive and informationally rich format has captivated both users and advertisers. Advertising platforms are trying to expand the offer of the tools that would help the advertisers to reach their potential customers. Therefore, many new video-based advertising formats are being introduced including ads with experimental length or dimensions. However, the increasing quantity of online advertisements the users have to face is raising questions about their actual marketing effectiveness. To provide relevant answers, authors examined the performance of 13 types of video ads that were implemented for a 30-day period and that generated 1 155 EUR overall profit. The advertising results are analyzed from three perspectives: financial, behavioral, and reactional. The main emphasis is put on the study of the video effectiveness depending on different viewing contexts with respect to the potential phenomenon of advertising blindness.
Instant Messaging Chat Bot
Authors: Han Min Chung
Published: July 2021

Recently there has been a resurgence of chat bot use among businesses, which employ them as part of their marketing strategy. To provide better insight into instant messaging chat bots as a marketing tool, the present research focuses on mobile users' current understanding and perceptions of chat bots. This study examines what mobile consumers think of instant messaging chat bots, and whether consumers are willing to use the new chat bots. This study employs focus group interviews and online surveys to examine consumers' perceptions. The results indicate that a majority of mobile users have employed chat bots for customer service and for entertainment. Mobile users found instant messaging chat bots easy to use and useful, but not necessarily entertaining.
Social Media as a Tool to Understand Behaviour on the Railways
Authors: Golightly David , Houghton Robert J.
Published: July 2021

Social media plays an increasing role in how passengers communicate to, and about, train operators. In response, train operators and other rail stakeholders are adopting social media to contact their users. There are a number of opportunities for tapping this big data information stream through the overt use of technology to analyse, filter and present social media, including filtering for operational staff, or sentiment mapping for strategy. However, this analysis is predicated on a number of assumptions regarding the manner in which social media is currently being used within a railway context. In the following chapter, we present data from studies of rail social media that shed light on how big data analysis of social media exchange can support the passenger. These studies highlight important factors such as the broad range of issues covered by social media (not just disruption), the idiosyncrasies of individual train operators that need to be taken into account within social media analysis, and the time critical nature of information during disruption.
Emoji in Advertising
Authors: Danesi Marcel
Published: July 2021

Emoji have become an ipso facto universal language that fit in perfectly with informal routine digital communications, especially on mobile devices and on social media. Marketers and advertisers have taken notice of this communicative phenomenon and have started tapping into the emotive power of the emoji code since at least 2010. But is emoji advertising truly effective? Almost no study exists to examine this question. This article thus has a two-fold purpose. First, it looks at the use of emoji in advertising generally and then it presents a pilot study that aims to assay if such advertising is indeed effective. The overall conclusion is that effectiveness relates to the increase in interpretations, or connotations, that emoji ads seem to generate. The use of emoji in advertising is, thus, a field laboratory for gauging where emoji writing is heading and what it entails more broadly for communication.
User-Generated Content and Consumer Purchase Intentions in the Cosmetic Industry
Authors: Patel Jemi
Published: July 2021

Online retailers within the luxury cosmetics industry have grown in popularity due to a wider and more diverse catalogue of products. Beauty e-commerce has also seen an uplift due to the increase in blogs/vlogs and online YouTube tutorials which motivate customers to click through to brands and retailer sites through links and affiliate marketing. Given the importance of computer-mediated marketing environments, particularly the burgeoning Internet tapestry along with its various social networking platforms, it is fundamental for management to foster and understand how these emerging technologies impact on their marketing strategies. Drawing on social impact theory (SIT), this paper contends that user-generated content can provide the basis for brand managers in the cosmetic industry to re-evaluate their digital marketing strategies. The paper concludes with discussions about the value of social impact theory in the development of digital marketing strategies.
An Evaluation of Toronto's Destination Image Through Tourist Generated Content on Twitter
Authors: Clarke Hillary , Hassanien Ahmed
Published: July 2021

This study aims at evaluating the cognitive, affective, and conative components of destination image from the perception of tourists on social media. The netnography technique is used for data analysis and interpretation. Through a textual content analysis approach, an interpretation of meaning of content produced from tweets by tourists is conducted. The findings show that destination attractions were the most commented on component of the cognitive component. Throughout the travelling process, tourists assessed the affective destination image. It was found that tourists' evaluation was of favourable emotions towards Toronto as a destination. The conative component was assessed before, during, and after visiting Toronto. Tourists provided insight into their behaviour online through personal updates and information sharing. The research outcomes provide scholars and practitioners with greater insight into the dimensions of destination image formed by user-generated content from tourists and their usefulness for information exchange in various settings.
Stakeholder Perceptions and Word-of-Mouth on CSR Dynamics
Authors: López-Fernández Andrée Marie , Silva Zamira Burgos
Published: July 2021

Corporate social responsibility is a strategy by which firms address social issues whilst tending to their profit enhancing objectives. However, is a socially responsible firm fulfilling its objectives if current and potential stakeholders perceive it to be unethical, engaging in poor and questionable practices? The article analyzes Big Data retrieved from Twitter related to five firms that have stated to be socially responsible but have yet to obtain stakeholders' legitimacy granted by the engagement in corporate social responsibility. The article contributes to the understanding and effects of firm dynamics in corporate social responsibility or lack thereof, on social networking sites by means of Big Data analysis.
Consumer Behavior, Trust, and Electronic Word-of-Mouth Communication
Authors: Di Virgilio Francesca , Antonelli Gilda
Published: July 2021

Social media platforms have become a major forum for consumers to interact with firms and other individuals. Drawing on both the customer-dominant logic and the theory of planned behavior, the present chapter aims to advance understanding and encourage research on the variables that drive consumers' online purchase intention. Al though there is a general agreement in recognizing the importance of social media platforms as a source of information about consumer behavior, a complete theorization of the variables that affect the relation between behavioral intention and online purchase intention is still lacking. The proposed theoretical model is an extension of the theory of planned behavior and incorporates trust and electronic word-of-mouth communication as part of the customers' online purchase intention. Finally, the theoretical and managerial implications are further discussed.
This Thing of Social Media!
Authors: Assensoh-Kodua Akwesi
Published: July 2021

Studies on online purchases abound, but are rarely on social media or social networking service (SNS) to highlight its influence on participants with regards to online purchases. This paper dares to do this. The SNS, although it was envisaged to be a platform for socialisation, has transmuted into a business model that is actually impacting on sales volume of organisations. Predictably, it could be said that the sustainability of this new business phenomenon depends on the continuance patronage of the SNS participants. This study investigated the dynamics impacting on SNS participant to find out whether what makes them purchase through it depends on habit or sheer influence. The study embarked on an online data collection process and performed a structural equation modelling (SEM) with the aid of a partial least square (PLS) program known as PLS-SEM.
Influence of Social Media Analytics on Online Food Delivery Systems
Authors: Singh Ravindra Kumar , Verma Harsh Kumar
Published: July 2021

Online food delivery applications have gained significant attention in the metropolitan cities by diminishing the burden of traveling and waiting time by offering online food delivery options for various dishes from many such restaurants. Users enjoy these services and share their experiences and opinions on social media platforms that impact the trust of customers and change their purchasing habits. This drastic revolution of user activities is an opportunity for targeted social marketing. This research is based on Twitter's data and aimed to identify the influence of social media in food delivery e-commerce businesses including decision making, marketing strategy, consumer behavior analysis, and improving brand reputation. In this article, the authors proposed an Apache Spark-based social media analytics framework to process the tweets in real time to identify the influences of generated insights on e-commerce decision making. The experimental analysis highlighted the exponentially grown influence of social media in food delivery e-commerce portals in past years.
Spanish Museum Policies Through Social Media to Enhance Communication With the Stakeholders
Authors: Alonso-Cañadas Juana , Galán-Valdivieso Federico , Saraite-Sariene Laura , Caba-Pérez Maria del Carmen
Published: July 2021

The main aim of this chapter is to describe the current status of participation and commitment of stakeholders in museums and cultural institutions through social networks. The study and analysis were developed following a quantitative methodology to calculate an index of online engagement through direct observation of data from the social network Facebook. Results show low levels of engagement, being most of interactions carried out through “like” and “share” actions, with few comments. It has been also detected that science museums lead in popularity, thematic museums are more prone to comments, and virality stands out in monuments. Likewise, the publication of posts containing audio-visual content are more frequent, and its publication is usually carried out during the week and in the morning.
Fast-Fashion Meets Social Networking Users
Authors: Cheema Tehreem
Published: July 2021

With the emergence of e-commerce, the fast fashion industry has experienced a revolution in terms of its management and how it is marketed. Rapid advancements in internet-related infrastructures and services have propelled explosive growth in what is considered to be one of the fastest growing industries in the global economy. The future of fast fashion is now being influenced by advanced technologies. The growing role of online social media and networks in marketing has important implications for how consumers, channels, and companies interface. Shoppers harness social media and user-generated content to make key purchase decisions. This chapter contributes to the existing literature on the influence of digital marketing on fast fashion, and it provides a number of pertinent marketing recommendations in regard to the practice of apparel retailers.
Exploring Determinants of Knowledge Sharing and the Role of Social Media in Business Organizations
Authors: Di Virgilio Francesca
Published: July 2021

Knowledge sharing is one of the greatest challenges for a business organization. Organizations not only need to focus on innovation of new products and services, but also to pay specific attention to effective knowledge sharing which is of vital importance to their success. In this context, social media have become increasingly popular. They have a profound impact on personal relationships, enable individuals to contribute to a number of issues and generate new possibilities and challenges in order to facilitate knowledge sharing. However, scarce attention has been devoted so far to the theme of social media security and its effects on behavioral intention in relation to knowledge sharing. As a response to this challenge, this chapter illustrates a research roadmap of knowledge sharing which includes important collective variables. This study aims at highlighting a new direction for the evaluation of social media as a tool for knowledge sharing in business organizations. Finally, it concludes with the discussion of several open issues and cutting-edge challenges.
Uncertainty Avoidance and Consumer Cognitive Innovativeness in E-Commerce
Authors: Sohaib Osama , Kang Kyeong , Miliszewska Iwona
Published: July 2021

This article describes how despite the extensive academic interest in e-commerce, an investigation of consumer cognitive innovativeness towards new product purchase intention has been neglected. Based on the stimulus–organism–response (S–O–R) model, this study investigates the consumer cognitive innovativeness and the moderating role of the individual consumer-level uncertainty avoidance cultural value towards new product purchase intention in business-to-consumer (B2C) e-commerce. Structural equation modelling, such as partial least squares (PLS) path modelling was used to test the model, using a sample of 255 participants in Australia who have had prior online shopping experience. The findings show that the online store web atmosphere influences consumers' cognitive innovativeness to purchase new products in countries with diverse degrees of uncertainty avoidance such as Australia. The results provide some guidance for a B2C website design based on how individual's uncertainty avoidance and cognitive innovativeness can aid the online consumer purchasing decision-making process.
Understanding Generational Impact on Online Business
Authors: Shanmugam Karthikeyan , C Vijayabanu
Published: July 2021

In today's age of technology and exploding internet penetration, customers are rapidly moving toward continuous connectivity across every facet of their lives. Similarly, business is also changing in response to this digital boom. This chapter analyzes digital tools such as virtual communities, social collaboration, and its impact on the multiple generations in managing connected customers for organizations. The technological tools make it simple for customers to be connected at all times, which has become the major challenge for organizations to formulate strategies and be competent in the market. The major types of virtual communities that can be associated with businesses were discussed in detail. This chapter proposes a model for organization to manage their customers effectively. The above-mentioned digital tools are playing vital role in retaining customers and strategies can be formulated to manage the connected customers successfully. Thus, the chapter analyzed the major areas that are important to the organizations in order to succeed in formulating competitive strategy.
Running with the Pack
Authors: Mattson Thomas , Aurigemma Salvatore
Published: July 2021

Prior literature has utilized many theories to explain an organization's post-adoption technology use of social media platforms, but none of the common models include status as either a primary or a moderating variable. This is a significant gap in the literature because status is a structural enabler and inhibitor that determines acceptable and unacceptable behavior in a given setting. In an empirical study of Twitter and the cultural norm of retweeting for a sample of US colleges and universities, the authors demonstrate the following: (1) middle-status institutions had a higher likelihood of following the retweeting cultural norm relative to their high- and low-status counterparts, (2) middle- and low-status institutions who followed the retweeting cultural norm in a manner consistent with their status experienced greater post-adoption success relative to those institutions who did not, but the reverse was evident for high-status institutions (who appear to be rewarded for deviation from this cultural norm), and (3) the negative effect of deviating from retweeting cultural norms on post-adoption success is more pronounced with decreasing status.
An Empirical Investigation on University Students' Smartphone Dependency
Authors: Shetu Sabakun Naher
Published: July 2021

The purpose of this research is to explore how the social needs, social values, and social influences affect the university students' smartphone dependency in Bangladesh perspectives. The researcher used structured survey methods and a non-probability convenience sampling procedure to collect the primary data. For data analysis purposes, the SmartPLS software was used. The data was collected from both undergraduate and master's students, and 532 respondents' data set was considered to analyze the proposed hypotheses. The analysis results indicated that social needs, social values, and social influences have a positive relationship and significantly influence university students' smartphone dependency. The study focused on smartphone dependency of university students, which has become one of the crucial gadgets to carry among the youth. The demand for smartphone usage is significantly increasing in Bangladesh, and previous studies have not been focused on this area. The research limitations of this study are also presented, and the authors suggested directions of future research as well.
A New Framework for Matching Forensic Composite Sketches With Digital Images
Authors: Chethana H. T.  , Nagavi Trisiladevi C.
Published: July 2021

Face sketch recognition is considered as a sub-problem of face recognition. Matching composite sketches with its corresponding digital image is one of the challenging tasks. A new convolution neural network (CNN) framework for matching composite sketches with digital images is proposed in this work. The framework consists of a base CNN model that uses swish activation function in the hidden layers. Both composite sketches and digital images are trained separately in the network by providing matching pairs and mismatching pairs. The final output resulted from the network's final layer is compared with the threshold value, and then the pair is assigned to the same or different class. The proposed framework is evaluated on two datasets, and it exhibits an accuracy of 78.26% with extended-PRIP (E-PRIP) and 69.57% with composite sketches with age variations (CSA) respectively. Experimental analysis shows the improved results compared to state-of-the-art composite sketch matching systems.
A Model of Cloud Forensic Application With Assurance of Cloud Log
Authors: Das More Swami , Govardhan A. , Doddapaneni Vijaya Lakshmi
Published: July 2021

The key concepts of digital forensic investigation in cloud computing are examination and investigation. Cybercriminals target cloud-based web applications due to presence of vulnerabilities. Forensic investigation is a complex process, where a set of activities are involved. The cloud log history plays an important role in the investigation and evidence collection. The existing model in cloud log information requires more security. The proposed model used for forensic application with the assurance of cloud log that helps the digital and cloud forensic investigators for collecting forensic scientific evidences. The cloud preservation and cloud log data encryption method is implemented in java. The real-time dataset, network dataset results tell that attacks with the highest attack type are generic type, and a case conducted chat log will predict the attacks in advance by keywork antology learning process, NLP, and AI techniques.
The Effect of Leadership on the Performance of Chinese Manufacturing Companies
Authors: Li Yan
Published: July 2021

The aim of this paper is to find out the effects of leadership, mediated by value innovation on the business financial performance of the manufacturing SMEs in China. Second, to examine what kind of links there are among leadership, value innovation and financial performance of Chinese manufacturing firms are explored. Last but not least, this paper will investigate Chinese manufacturing companies, which have survived and grown. To discuss what kind of key factors they have and how they adopt these strategies in order to achieve value innovation for their corporate growth in emerging markets, the result of this study is that there is a positive relationship between leadership value innovation, and financial performance of companies. Meanwhile, results illustrated that product innovation mediated the relationship of leadership with financial performance, but business model innovation has no mediating role on the relationship of leadership with financial performance.
A Robust Lightweight Data Security Model for Cloud Data Access and Storage
Authors: Pajany M.  , Zayaraz G.
Published: July 2021

In this paper, an efficient lightweight cloud-based data security model (LCDS) is proposed for building a secured cloud database with the assistance of intelligent rules, data storage, information collection, and security techniques. The major intention of this study is to introduce a new encryption algorithm to secure intellectual data, proposing a new data aggregation algorithm for effective data storage and improved security, developing an intelligent data merging algorithm for accessing encrypted and original datasets. The major benefit of the proposed model is that it is fast in the encryption process at the time of data storage and reduced decryption time during data retrieval. In this work, the authors proposed an enhanced version of the hybrid crypto algorithm (HCA) for cloud data access and storage. The proposed system provides secured storage for storing data within the cloud.
A Preliminary Investigation Into the Effects of Gamified Virtual Reality on Exercise Adherence, Perceived Exertion, and Health
Authors: Hoolahan Katherine Jane
Published: July 2021

Exercise is widely used as a treatment and prevention method for many health conditions; however, adherence to exercise programmes is generally very low. Gamified VR is a promising solution for this. This study included 20 participants playing a total of 36 VR games over the course of an 18-week programme. Heart rate monitoring and questionnaires including rate of perceived exertion were used, and adherence was recorded. There was a dropout rate of 10% and an adherence rate of 90% – successful overall adherence according to the literature. Heart rate whilst in VR was compared to rate of perceived exertion, showing a significantly lower perceived exertion compared to actual exertion. Various health benefits were noted by participants. Overall, this study shows that gamified VR can increase adherence to exercise, lower perceived exertion, and indicates potential for improving health. Further research is required to support this.
Localized Surface Plasmon Resonance Effect of Gold Nanoparticles Using 3-Mercaptopropionic Acid as Capping Material for Sensing Probe
Authors: Pambudi Muhammad Tegar , Isro Suhandoko Dwi , Wulandari Priastuti
Published: July 2021

Gold nanoparticles (AuNP) has been used in a wide range of applications especially in medicine and optoelectronic applications due to its localized surface plasmon resonance (LSPR) effect. LSPR observation of AuNP solution shows that the plasmonic peak in the absorbance spectra lies in the range of visible light around 520 nm with deep red-wine color. The optical characteristic is controlled by the size and shape of the nanoparticles including its surface functionalization. Our research is focused on the adsorption study of 3-mercaptopropionate (3-MP) on AuNP (AuMP) surface synthesized by ligand exchange method and also by direct reduction method. The characterizations are conducted by use of UV-vis and FTIR spectroscopies in order to investigate the effect of LSPR. The absorbance spectra show that both experimental methods of AuMP give a similar profile of red-shifted in the plasmonic peaks in comparison to that of citrate-capped AuNP as a reference from 519 nm to 520 nm. The ligand exchange method of AuMP synthesis results in an unstable colloidal solution after being stored for a week at room temperature while the reduction method results in a stable colloidal solution of AuMP even though it has been stored for 2 months. The FTIR spectra show the difference in vibrational peak intensities between the 3-MP on AuNP and the 3-MPA as reference. The peak of carboxylate (COO-) asymmetric stretching is shifted to low frequency from 1708 cm-1 to 1632 cm-1 indicate the effect of LSPR while the shift to high frequencies for some vibrational peak intensities relates to the strong effect of chemical coordination between gold and capping material. The simulation of the vibration energy by use of the Density Functional Theory (DFT) method shows a similar tendency to that of the peak intensities along the infrared spectrum from experimental results.
Technology for Producing Fine Tungsten Carbide Powders
Authors: Kolmakov Konstantin M. , Zverovshchikov Alexander E.
Published: July 2021

The article shows the advantage of electric arc synthesis and subsequent centrifugal spraying of tungsten carbide to obtain a high-quality highly dispersed powder. A tungsten electrode (anode) is fed to the surface of a rotating graphite electrode (cathode) until an electric arc occurs between the electrodes, and the cathode is made in the form of a ring. The angular speed of rotation of the annular graphite electrode is set in accordance with the calculated ratio, which provides fine-dispersed centrifugal atomization of the molten product particles. To prevent intense evaporation of tungsten and the formation of an excessive amount of fine particles, the power of the electric arc for melting the anode is limited to a set value.As a result, the uniformity of the powder increases and the dispersion of the particles of the main fraction decreases.
Cyber-Physical Hybrid Processing System Digital Twin
Authors: Shatagin Dmitrii A. , Galkin Andrei , Osmehin Alexander N. , Klochkova Natalia
Published: July 2021

The article proposes a method for obtaining a digital twin of the process of 3D printing by electric arc surfacing using an ensemble of machine learning methods. On the basis of the structural-parametric approach, a set of diagnostic parameters for the signals of current strength, voltage and acoustic emission was determined. Using exploratory analysis, the significance of each diagnostic parameter was assessed. A complex of statistical models has been developed to assess the stability of 3D printing processes using decision trees. Their optimal parameters and efficiency have been determined.