Redfame Publishing: E-Journals
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Factors Affecting the Decision-Making Styles Adoption
Get PDFDecision making is a significant and rational process in any business organization that deploys so many resources to work on selecting the optimal alternative and build a heuristic framework. In the last decade, Tire sector in Egypt witnessed many changes due to market dynamics and economic challenges, that require being adaptive in the decision-making process. The purpose of this study first is to define the different decision-making styles adopted by the decision makers in our case. The population of the study focuses on decision makers of a local family business. Secondly, is to measure the correlation between the dominant decision-making styles and the age groups, Job stress and Leadership styles. The selected model is based on Simon's concept of "bounded rationality" which has provided the conceptual foundation for much behavioral decision research, (Einhorn & Hogarth, 1981). Using certain tools such as GDMS, Job stress and Multi-factor Leadership Questionnaires. Study applied quantitative online survey then analyzed using scale reliability, test-re-test reliability, Cronbach’s alpha, descriptive, chi-square, and normality tests using SPSS. Results revealed that Rational-dependent, and intuitive decision-making styles are affected by different levels of perceived job stress also, the three leadership styles Transformational, Transactional, and Laissez-faire
Challenges of Print Newspapers in Kosovo in the Period 1999 to 2020
Get PDFThe research objective is to examine the challenges faced by newspapers in Kosovo from 1999 to 2020. By using qualitative methods, the study aims to identify the factors that have led to the discontinuation of daily printed newspapers in Kosovo. The main drivers of this trend have been identified as the speed at which news can reach readers through electronic media, as well as the financial burden of unsold newspapers on the editorial offices, rather than on distribution networks. The findings of the study indicate that, as of March 2020, Kosovo has been left without daily newspapers due to the Covid-19 pandemic, as the government implemented measures that resulted in the temporary closure of business that newspapers. This has led to the accelerated closure of four daily print newspapers in Kosovo, which now only continue to publish in an electronic format. The pressure caused by these circumstances ultimately led to the discontinuation of printing and the shift to electronic version, which have a much lower financial cost
VIX to S&P 500 Correlation Over the Weekend: Are Market Makers Using S&P 500 Weekend Returns to Price VIX on Monday Morning?
Get PDFThis paper studied the correlation between the S&P 500 ETF (SPY) weekend returns and the VIX changes. Two distinct patterns are found: (1) VIX is dropping intraday and rising overnight; (2) a negative SPY weekend return correlates with VIX weekend change. We found the negative correlation is statistically significant (P=0.000). This proves that option market makers are using SPY Friday overnight returns to adjust the implied volatility the next morning. This may lead to a profitable options model that sells high IV options closing on Friday and buys them back next Monday, especially before the earnings announcement
Sentiment Analysis on Inflation after COVID-19
Get PDFWe implement traditional machine learning and deep learning methods for global tweets from 2017-2022 to build a high-frequency measure of the public’s sentiment index on inflation and analyze its correlation with other online data sources such as google trend and market-oriented inflation index. We use manually labeled trigrams to test the prediction performance of several machine learning models (logistic regression, random forest etc.) and choose Bert model for final demonstration. Then, we sum daily tweets’ sentiment scores gained from Bert model to obtain the predicted inflation sentiment index, and we further analyze the regional and pre/post covid patterns of these inflation indexes. Lastly, we take other empirical inflation-related data as references and prove that twitter-based inflation sentiment analysis method has an outstanding capability to predict inflation. The results suggest that Twitter combined with deep learning methods can be a novel and timely method to utilize existing abundant data sources on inflation expectations and provide daily indicators of consumers’ perception on inflation
Examining the Influence of Media System Dependency Relations on User Satisfaction, and Continuance Intention in Social Networking Services
Get PDFSocial Networking Services (SNS) exert a substantial influence in the digital realm. For marketers and entrepreneurs, comprehending the nuances of potential consumer interaction with SNS is pivotal to craft optimal communication strategies. Consequently, deciphering the determinants that either encourage or hinder individual SNS usage behaviors becomes imperative, as it fosters deeper insights into users' continuance intentions and facilitates the building of robust relationships. Drawing upon the Media System Dependency (MSD) theory, this research addresses two main questions: 1) How do individuals' MSD relations, encompassing Understanding Dependency (UD), Orientation Dependency (OD), and Play Dependency (PD), satisfaction (ST) within the SNS context? 2) Does satisfaction subsequently enhance their continuance intention (CI) towards the SNS? To address these queries, we scrutinized data amassed from 393 online Weibo users in China. Participants, all of whom possessed prior Weibo experience, were invited to partake in a comprehensive survey. The proposed hypotheses were rigorously examined using Partial Least Squares Structural Equation Modeling (PLS-SEM). The analysis revealed that the three delineated MSD relations significantly bolstered participants' ST, which in turn robustly influenced their CI. This study's findings shed invaluable light on the nexus between MSD relations and SNS engagement, offering meaningful implications for both academics and SNS practitioners. Future research endeavors are encouraged to expand upon these insights and further fortify our understanding of the topic
Can Instagram Be Adopted as an Innovative Tool for Developing Self-Esteem? An Evaluation of Self-Esteem through Social Media User-Experience
Get PDFInstagram has emerged as one of the most popular social media platforms. This study examined Instagram usage of young adults in an emerging market, South Africa. The research sought to establish the extent to which Instagram usage may affect self-esteem among young consumers in emerging markets. A conceptual model has been developed based on identified factors such as Instagram usage, emotional investment in Instagram, self-efficacy, sense of community and self-esteem. 361 active Instagram users were selected through convenience sampling and the feedback they provided was processed for insights. Descriptive statistics and structural equation modeling (SEM) were used to investigate the interrelationships between the constructs. Implications for marketers include promoting adequate use of Instagram and making users aware of the potential threats of its excessive usage
Afghan Migrants in Germany: Cross-Cultural Communication and Impact of Immigration on Afghan Culture
Get PDFThe purpose of this case study was to determine how migration affected Afghan culture and cultural relations among Afghan immigrants who lived in Germany. It examined the problems faced by Afghan immigrants, their coping mechanisms, and the preservation of their cultural identity. A qualitative study methodology was utilized, and in-depth interviews were conducted with 15 Afghan migrants residing in various German cities. Secondary data was obtained through literature reviews and other relevant sources, while primary data was gathered from the interviews. To identify significant findings and patterns related to the study's objectives, a thematic analysis was performed using NVivo 12. The study revealed that language limitations, cultural differences, and discrimination posed significant obstacles for Afghan migrants in their cross-cultural communication efforts. However, through community groups, cultural events, and educational initiatives, they actively participated in preserving their cultural heritage. The results underscored the importance of cultural awareness, empathy, and tolerance in fostering intercultural understanding and facilitating integration. Consequently, practical recommendations were proposed, including expanding Afghan immigrants ' access to language instruction, cultural resources, and support systems. Creating a welcoming environment also necessitated the development of strong bonds between German residents and Afghan migrants. This study contributes to the field of intercultural communication and offers guidance to practitioners and policymakers seeking to integrate Afghan immigrants into German society
Empowerment and Entrepreneurship on WeChat: A Focus on Shared Stories of Muslim Women Entrepreneurs in China
Get PDFNew media entrepreneurship is already the most popular business model today. The purpose of this study is to demonstrate the motivation and strategies of Muslim women entrepreneurship on WeChat. Design/ Methods/ Methodology - Using a qualitative research design, the data for our survey was obtained from 8 female entrepreneurs in Yiwu City. The authors conduct in-depth interviews methods to enable women to express their stories and experience voluntarily and truly in entrepreneurship activities. The interview data was analyzed using thematic analysis. The study found that factors such to increase family income, intention to experience into entrepreneurial activities, and the ease of new media technology, have prompted Muslim women to start an online business. Furthermore, using WeChat, entrepreneurs and customers establish emotional connections to promote business development. Another key factor was also elaborated in this study where Muslim women strive to balance the relationship between family and their business. Implications and conclusion were also described in this research
Hedging Interest Rate Options with Reinforcement Learning: an investigation of a heavy-tailed distribution
Get PDFPurpose: The study intends to model an interest rate index option using a heavy-tailed distribution. The goal is to calculate the interest rate path-dependent option prices that are consistent with market data and to develop a reinforcement learning strategy to discretely hedge the position considering transaction costs. Methodology: This paper presents a mathematical framework to calculate the price of interest rate path-dependent options. The research adapted a Fourier cosine series formula to employ the characteristic function of the present value of the forward index, which is modeled as a variance-gamma process and uses deep Q-learning to hedge such options. Findings: There is market evidence that the implied volatility curve is not flat. The study demonstrated that the variance-gamma process generates an increasing volatility smile, which is consistent with market observations. Additionally, hedging results show that the path-dependent options generated from the variance-gamma process can be efficiently hedged with advanced Q-learning techniques. Research limitations/implications: The study comprised only the variance-gamma process. Other probability distributions, such as the Normal Inverse Gaussian model, should be investigated. Practical implications: This study reveals which type of probability distribution should be present in a pricing engine to be consistent with implied volatilities. The approach provided here can assist managers in evaluating and comprehending market pricing behavior as well as achieving discrete hedging with costs. Originality: The paper addressed the merging of a fast pricing method for the interest rate options with a heavy-tailed distribution and the discrete interest rate derivatives hedging with reinforcement learning
German and Albanian Media in Political and Social Change: Challenges, Patterns, and Deviations
Get PDFStudying the past interactions between Germany and Albania in the field of media is an important topic, as it is crucial for understanding the current challenges and finding solutions to promote cooperation and communication between two countries in the future. The purpose of the research is to compare the historical development of the mass media in Germany and Albania, as well as to consider the models of interaction between these countries in the field of media. During the research, the following methods of theoretical knowledge were used: analysis, comparison, synthesis, and generalization. As a result of the study, several conclusions were drawn, in particular, regarding the role and position of the mass media in Germany and Albania in different historical periods. Thus, it was found that the development of mass media began in the 19th century, under the influence of the industrial revolution. Albanian media during this period was not as independent as German media, because Albania was part of the Ottoman Empire. In the 20th century, interaction and assimilation of German and Albanian mass media began to take place, in particular, due to the activities of the communist regime and the process of liberalisation. In today’s world, the Albanian mass media have several problems, as they are dependent on private entrepreneurs and are also quite centralised. The study of the media interactions of Germany and Albania is valuable for historians and political scientists who seek to increase knowledge of their history, facilitate communication and cooperation between the two media systems. It is especially valid in identifying the model or standard towards which the Albanian media system should develop in its path towards self-regulation