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Hegemonic practices in multistakeholder Internet governance: Participatory evangelism, quiet politics, and glorification of status quo at ICANN meetings
No full textIn this exploratory study we examine a less scrutinized aspect of multistakeholder arrangements: the presence and directionality of hegemonic power in the language used in the stakeholder deliberations. Specifically, we examine the deliberations of ten stakeholder groups of ICANN’s policy development body. Using meeting transcripts from 2011 to 2020, we operationalized hegemony as a latent, dependent variable (HEIN) by linking stakeholder participation to the policymaking agenda. We employed a mixed-methods approach comprising textual linguistic analysis (using DICTION 7.1), principal components analysis, and an autoregressive moving average model to identify the statistical significance of key variables that emerged from textual linguistic and principal components analyses. We found that three primary rhetorical devices–participatory evangelism, quiet politics, and glorification of the status quo–were present, which reinforce the entrenched power structure that favors some stakeholders and interfere with other stakeholders’ efforts to influence Internet governance decisions. In addition, four Diction variables, Commonality, Leveling Terms, Satisfaction, and Commonality at the GNSO (Generic Names Supporting Organization) level, yielded a positive impact on the production of hegemony, and Insistence was negatively associated with HEIN
The Relationship Between Twitter Sentiment and Stock Performance: A Decision Tree Approach
No full textSocial media has become a communication tool, but also a valuable database for researchers and practitioners to gather information, share knowledge, as well as express opinions about stock performance. The sentiment embedded in social media content can be analyzed to predict stock performance. Although numerous past studies have attempted to predict stock price movement using social media sentiment, some emerging analytical tools, like existing lexicons, may require further testing and validation in a financial decision making context. In this study, we develop and test predictive models for stock price and trend forecasting. By using a large-scale sample of tweets collected from Twitter, related to four companies, Apple, Google, Microsoft, and Netflix, we propose a novel decision tree approach to stock performance prediction. Based on our findings, we then provide theoretical and practical implications and discuss the directions for future work
A Distributed Fuzzy Optimal Decision Making Strategy for Task Offloading in Edge Computing Environment
No full textWith the technological evolution of mobile devices, 5G and 6G communication and users\u27 demand for new generation applications viz. face recognition, image processing, augmented reality, etc., has accelerated the new computing paradigm of Mobile Edge Computing (MEC). It operates in close proximity to users by facilitating the execution of computational-intensive tasks from devices through offloading. However, the offloading decision at the device level faces many challenges due to uncertainty in various profiling parameters in modern communication technologies. Further, with the increase in the number of profiling parameters, the fuzzy-based approaches suffer inference searching overheads. In this context, a fuzzy-based approach with an optimal inference strategy is proposed to make a suitable offloading decision. The proposed approach utilizes the Classification and Regression Tree (CART) mechanism at the inference engine with reduced time complexity of O (|V|2log2| L|)), as compared to O (| L ||V|) of state-of-the-art, conventional fuzzy-based offloading approaches, and has been proved to be more efficient. The performance of the proposed approach is evaluated and compared with contemporary offloading algorithms in a python-based fog and edge simulator, YAFS. The simulation results show a reduction in average task processing time, average task completion time, energy consumption, improved server utilization, and tolerance to latency and delay sensitivity for the offloaded tasks in terms of reduced task failure rates
On Domatic Number of Some Rotationally Symmetric Graphs
No full textDomination is a well-known graph theoretic concept due to its significant real-world applications in several domains, such as design and communication network analysis, coding theory, and optimization. For a connected graph Γ=V,E, a subset U of VΓ is called a dominating set if every member present in V-U is adjacent to at least one member in U. The domatic partition is the partition of the vertices VΓ into the disjoint dominating set. The domatic number of the graph Γ is the maximum cardinality of the disjoint dominating sets. In this paper, we improved the results for the middle and central graphs of a cycle, respectively. Furthermore, we discuss the domatic number for some other cycle-related graphs and graphs of convex polytopes
The Art and Science of Demand and Supply Chain Planning in Today’s Complex Global Economy
No full textThe demand and supply chain planning process for manufacturers, distributors, and retailers has evolved over the years. It has gone from a disjointed, unconnected, slow, inaccurate, fairly manual set of processes to an integrated, timely process enabled by the use and coordination of highly trained people, lean, agile processes, and cutting-edge technology. To make this set of processes work effectively, one has to fully understand and appreciate that there is an “art and science” aspect to the process which can take years of education and experience to fully understand. Essentially, this book will offer the reader a chance to fully understand the interconnected set of processes in a “best-practice” application. Furthermore, examples and cases will be used to illustrate its practical application in today’s complex global supply chain. In addition, readers will understand and be able to apply and articulate the concepts, tools, and techniques used in the efficient supply of goods and services in today’s changing global economy. It will help them to learn how businesses, through their supply chain, work both internally and with their trading partners - both upstream and downstream - to build strong relationships and integrate demand and supply planning activities across the supply chain to deliver customer value efficiently and effectively. They will learn about the tools and technologies enabling integration, and the critical drivers and key metrics of supply chain performance
Experiential Marketing, Customer Engagement, and Brand Loyalty in the Luxury Fashion Industry: Empirical Evidence from China
No full textThe fashion industry in China faces fierce competition and variability in fashion trends. Customer experience plays a vital role for companies to remain competitive; however, traditional marketing has been unable to fully consider customers’ needs and to provide an immersive experience, which can be addressed by experiential marketing. This kind of customer engagement contributes to creating value and increasing recognition for businesses, enhancing brand loyalty, and contributes to long-term and continuous business success. This study explores the relationship between experiential marketing, customer engagement and brand loyalty. Survey responses of 200 participants in the experiential marketing activity of Shanghai’s Chanel pop-up store were collected. Drawing on Schmitt’s five different types of experiences, we find the importance of experiential marketing in spurring customer engagement and brand loyalty. Our study enhances the understanding of experimental marketing in the fashion industry. Theoretical and practical implications are provided
Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service?
No full textExecution costs are broadly used in the evaluation of the scalability of IoT systems. A well-known concern in their use is the extent to which their scalability desiderata best predicts Quality of Service (QoS). At first, past studies did not ratify a relationship between the scalability approaches and QoS in IoT systems. More recently, however, the correlations between these have begun to emerge. In this paper, we extend those findings and open up new avenues to further research by proposing a statistical testing approach for scrutinizing this relationship. The initial findings delineate that there is a significant correlation between the scalability approach employed and QoS in IoT systems. Our results strengthen the use of execution costs in the scalability of IoT systems confirming that QoS can be successfully predicted
WeChat Moments Among International Students: Building Guanxi Networks in China
No full textChina is a collectivist nation that varies socially and culturally from most Western countries. Recently, the country has been an attractive destination for international students. A contemporary digital platform such as WeChat Moments (WMs) is a leading social media platform among locals and international students to communicate and interact in cross-cultural settings for various purposes, including maintaining friendships and establishing new social capital. Prior research has overlooked the beneficial effects of such domestic social media platforms on international students in China, especially for strengthening their existing friendship quality and guanxi networking. Based on the self-disclosure theory, this study examines the relationship between international students’ WMs use intensity, online self-disclosure, closeness to friends, and guanxi network building using data from 445 international students employing structural equation modeling. This study reveals that WMs use has a substantial effect on the formation of guanxi networks and that online self-disclosure mediates the connection between WMs use and friendship closeness and guanxi network building. Several theoretical and practical recommendations are provided in the context of the guanxi network
The Impact of CEO Educational Background on Corporate Risk-Taking in China
No full textThis article investigates whether, and how, CEO educational background affects Chinese corporate risk-taking. Using a sample of 4681 firm-year observations from 2012 to 2020, we find that CEO educational background is negatively associated with corporate risk-taking. The nonlinear quadratic regression shows a convex relationship, consistent with the finding that the effect is more profound for the subsample with relatively lower education levels. The negative relationship is stronger for the firms with higher leverage, with lower tangibility, and in non-manufacturing industries. We also address the endogeneity issue using a two-stage least squares regression. This paper may provide valuable insights for shareholders, helping them to hire the most suitable CEOs to achieve shareholders’ objectives and increase the corporation’s competitiveness in the market
How Education for the SDGs leads to Transformative Learning and University-Wide Innovation
No full textThe United Nations Sustainable Development Goals (SDGs) are 17 global goals that represent a blueprint for transforming our world through social and environmental sustainability. For higher education, they offer opportunities for students from all university programs to apply critical thinking and problem- solving skills to address today’s grand challenges. What this means for higher education is an opportunity to build bridges between university programs with shared curricula, learning outcomes, and innovative collaborations. This presentation will show how learning can be transformed and universities can lead with education for sustainability, including options to contribute to and integrate open educational resources