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The dynamics of esports crowdfunding campaign success: a social exchange perspective
Full text linkEsports—a professionalized, commercialized, and spectatorial form of video game competition—is a burgeoning industrial sector that has relied on entrepreneurial community support and multi-platform media distribution modalities to catalyze its growth. In particular, the esports industry is increasingly turning towards grass- roots crowdfunding to gain access to financial resources that can be used to facili- tate tournament prizes. However, what remains unclear is which factors contribute to grassroots esports crowdfunding campaigns’ success. We used social exchange theory to identify important social and economic attributes that may influence the outcomes of esports crowdfunding projects. For methods, we scraped crowdfunding data from Matcherino using Octoparse 8. A total of 14,497 esports crowdfunding projects were analyzed by using multiple regression analysis, as well as robustness checks that were estimated through machine learning techniques. We find that equal distribution of prize rewards, the endorsement of big brand sponsors, and genres of games significantly influence the success of esports crowdfunding. This con- tributes to our theoretical understanding of 1) the process of esports crowdfunding campaigns as a complex mechanism that incorporates financial incentives and social values, 2) esports as an emerging industry that is institutionalizing, 3) the hetero- geneity of genre-based community, and 4) the importance of distributive justice of prize rewards for organizing grassroots esports tournaments and events. Further- more, we discussed methodological implications regarding the use of econometrics approach and machine learning for future crowdfunding and esports research as well as managerial implications for esports entrepreneurs, esports teams and organiza- tions, and sponsors and investors in terms of developing strategies tailored to the dynamics of esports communities
Key authors in business and management education (BME) with a bibliometric analysis of economic education scholarship by gender
No full textThis study examines productivity in Business and Management Education (BME) scholarship, identifying the “top 96” BME authors of the last decade, extending the author productivity conversation initiated by Arbaugh et al. (2017), and exploring the degree to which women feature in the list. The rankings proved very dynamic: approximately 55% of the top-ranked authors are new to the list, with 38% of those authors being female. The BME field continues to offer opportunities for establishing a profile as a highly productive author, since barriers for entry into the list remain relatively low: five articles continue to be the threshold for inclusion. Accounting expanded its dominance over other disciplines, with the number of accounting education scholars ranked increasing from 28 to 34. The number of highly productive authors affiliated with institutions outside of the United States has increased significantly when compared to the 2005–2014 study, suggesting that the call for wider international participation in BME scholarship is beginning to produce movement. We document differences in the content of the scholarship produced by leading male and female authors in economic education, noting that those differences tend to blend when they work together
A comparative performance analysis of intelligence-based algorithms for optimizing competitive facility location problems
Full text linkMost companies operate to maximize profits and increase their market shares in competitive environments. Since the proper location of the facilities conditions their market shares and profits, the competitive facility location problem (CFLP) has been extensively applied in the literature. This problem generally falls within the class of NP-hard problems, which are difficult to solve. Therefore, choosing a proper solution method to optimize the problem is a key factor. Even though CFLPs have been consistently solved and investigated, an important question that keeps being neglected is how to choose an appropriate solution technique. Since there are no specific criteria for choosing a solution method, the reasons behind the selection approach are mostly unclear. These models are generally solved using several optimization techniques. As harder-to-solve problems are usually solved using meta-heuristics, we apply different meta-heuristic techniques to optimize a new version of the CFLP that incorporates reliability and congestion. We divide the algorithms into four categories based on the nature of the meta-heuristics: evolution-based, swarm intelligence-based, physics-based, and human-based. GAMS software is also applied to solve smaller-size CFLPs. The genetic algorithm and differential evolution of the first category, particle swarm optimization and artificial bee colony optimization of the second, Tabu search and harmony search of the third, and simulated annealing and vibration damping optimization of the fourth are applied to solve our CFLP model. Statistical analyses are implemented to evaluate and compare their relative performances. The results show the algorithms of the first and third categories perform better than the others
Building a Community of Practice: Insights From Vicarious Learning and Crowdsourcing
No full textA community of practice (COP) can offer learning and support as a group of people who come together to share concerns, best practices, or new knowledge about some shared interest or passion. However, creating or joining a COP may present challenges, especially for those whose networks are relatively underdeveloped. In this article, we define a COP and share how vicarious learning and crowdsourcing, as pragmatic, relational, and information-gathering processes, offer important benefits to teaching and learning COPs. After discussing how vicarious learning and crowdsourcing can be extended within a COP, we offer specific theory-to-practice learning ideas and suggestions. We end the article with brief insights for other management educators about our own COP experiences
The Negative Economic Impacts of Money Laundering in Kenya, Thailand and France
Full text linkCybercrime has grown exponentially around the world due to consistently changing technology and the craftiness of cybercriminals often outpacing that of security officers. In the past three decades, cybercrime has been expedited and globally expanded due to the accumulated experience of these criminals, who take advantage of the new found black market, cryptocurrency, and other operations. According to a report published by the Center for Strategic and International Studies titled, “Economic Impact of Cybercrime,” it was found that, “close to $600 billion, nearly one percent of global GDP, is lost to cybercrime each year” (2018). Unfortunately, this number will only continue to increase in the upcoming decades due to the progressiveness of technologies and other digital currencies. This is a global phenomenon and with the anticipation of these numbers rising, countries all over the world will need to be prepared for the impacts of the crime. This crime poses significant social and economic problems that will impact each country differently depending on many different factors. One of these problems is the connection between cybercrime and money laundering. This paper will address the economic impacts of these cybercrimes, specifically money laundering, and in a way that is symbolic to the rest of the world, examine the negative economic impacts of cybercrime-centric money laundering in Kenya, Thailand and France.
Money laundering has been around for decades, as a clandestine white-collar crime that has significant social consequences as well as economic consequences for every country affected. According to the article titled, “Money Laundering: Concept, Significance and its Impact,” money laundering is officially the “process by which large amount of illegally obtained money (from drug trafficking, terrorist activity or other serious crimes) is given the appearance of having originated from the legitimate source” (Kumar, 2012). Essentially, similar to the process of washing or laundering clothes, these criminals are attempting to clean up their dirty money, as well as cover up where they actually received the specific source of income. This laborious process conceals the crime from authorities and officials who could potentially observe and flag them for the associated crimes
Cinema Trends and Viewer Preferences: An Analysis of Movie Trends, Factors Leading to Box-Office Success, and Viewer Ratings
No full textThis research paper investigates the critical factors that impact the success and profitability of feature films in the entertainment industry. The study is divided into two primary parts. The first part aims to identify trends in cinema and predict box office earnings using advanced data analytics techniques. The second part examines user reviews to determine the key factors that influence film viewership. The objective is to provide valuable insights to cinema enthusiasts, film executives, and streaming platforms, helping them make informed decisions on film production and recommendations. The methods utilized include descriptive data visualizations in Excel and Python and predictive modeling using WEKA and JMP Pro. The findings demonstrate significant changes in audience preferences across age groups and time periods for different film genres. The research also explores predictive models that can accurately classify a film into an earnings range approximately 33% of the time. The results indicate that further information is required to improve the accuracy of film success predictions, and several potential research avenues are briefly explored
Evidence-Based Educational Modules on Applying the AANA Infection Control Guidelines
Full text linkInadequate hand hygiene and contamination of the anesthesia workstation have resulted in pathogen transmission and subsequent healthcare-associated infections. This clinical problem poses a significant safety threat as healthcare-associated infections are one of the leading causes of preventable patient harm and death. Research literature and the American Association of Nurse Anesthetists illustrate the need for universal infection prevention precautions and standardized anesthesia workstation cleaning practices to decrease workstation contamination and healthcare-associated infections. The purpose of this project will be to create a teaching plan based on research literature and the American Association of Nurse Anesthetists infection prevention and control guidelines to decrease healthcare-associated infection rates due to anesthesia workstation contamination and inadequate hand hygiene
Development of an Evidence-Based Teaching Module Using Educational Videos for the Novice CRNA Simulation Educators
Full text linkResearch has emphasized the benefits of incorporating a well-structured pre-brief and debrief into a simulation learning experience. Current themes in the literature suggest a lack of resources offered to simulation instructors, resulting in inconsistent pre-briefing and debriefing approaches amongst instructors. Ultimately, the learner suffers, compromising the knowledge and skills taken into the clinical setting. The primary purpose of this Doctor of Nursing Practice (DNP) project was to create an educational intervention for novice certified registered nurse anesthetists (CRNA) who are new to being a simulation educator. The intervention will utilize a self-paced teaching module with embedded videos and active learning to highlight key concepts for best practices in pre-briefing and debriefing
The role of IT in the Documentation and Extraction of Tribal Knowledge
Full text linkTribal Knowledge, more formally known as Undocumented Knowledge, is a phenomenon that exists in every discipline, industry, artistry, skill, and trade. This essay explores the role of IT in capturing tribal knowledge directly, its benefits to an organization, the challenges of extracting this knowledge, and potential risks of failing to seize tribal knowledge. It will focus specifically on tribal knowledge that exists within a business, and illustrates the various knowledge management technologies and frameworks, which IT can utilize to claim ownership of tribal knowledge within the organization. With the end goal of converting tribal knowledge into documented (explicit) knowledge