scholarly journals AWARENESS & APPLICATIONS OF ARTIFICIAL INTELLIGENCE TOOLS FOR MANAGEMENT STUDENTS

2021 ◽  
Vol 57 (9) ◽  
pp. 7092-7105
Author(s):  
Dr. Kavita Khadse Et. al.

With the Industry Revolution 4.0, Artificial Intelligence (AI) is bound to have its contribution in almost all of the sectors. AI has been constantly contributing to improvements in ability and performance of the systems and the services, with many of the sectors already benefiting from AI. It has also made a noteworthy progress in education sector. The paper analyses awareness of AI tools introduced for voice assistance which are being used by a major population of management students. It checks if there is any variation in the awareness level of the students based on demographic classification. It also provides potential impact of AI with variation in the levels of awareness among management students. Paper provides a broad overview about the benefits of incorporating AI in Management Education Sector.

2021 ◽  
pp. 016555152098549
Author(s):  
Donghee Shin

The recent proliferation of artificial intelligence (AI) gives rise to questions on how users interact with AI services and how algorithms embody the values of users. Despite the surging popularity of AI, how users evaluate algorithms, how people perceive algorithmic decisions, and how they relate to algorithmic functions remain largely unexplored. Invoking the idea of embodied cognition, we characterize core constructs of algorithms that drive the value of embodiment and conceptualizes these factors in reference to trust by examining how they influence the user experience of personalized recommendation algorithms. The findings elucidate the embodied cognitive processes involved in reasoning algorithmic characteristics – fairness, accountability, transparency, and explainability – with regard to their fundamental linkages with trust and ensuing behaviors. Users use a dual-process model, whereby a sense of trust built on a combination of normative values and performance-related qualities of algorithms. Embodied algorithmic characteristics are significantly linked to trust and performance expectancy. Heuristic and systematic processes through embodied cognition provide a concise guide to its conceptualization of AI experiences and interaction. The identified user cognitive processes provide information on a user’s cognitive functioning and patterns of behavior as well as a basis for subsequent metacognitive processes.


Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 24
Author(s):  
Eduard Alexandru Stoica ◽  
Daria Maria Sitea

Nowadays society is profoundly changed by technology, velocity and productivity. While individuals are not yet prepared for holographic connection with banks or financial institutions, other innovative technologies have been adopted. Lately, a new world has been launched, personalized and adapted to reality. It has emerged and started to govern almost all daily activities due to the five key elements that are foundations of the technology: machine to machine (M2M), internet of things (IoT), big data, machine learning and artificial intelligence (AI). Competitive innovations are now on the market, helping with the connection between investors and borrowers—notably crowdfunding and peer-to-peer lending. Blockchain technology is now enjoying great popularity. Thus, a great part of the focus of this research paper is on Elrond. The outcomes highlight the relevance of technology in digital finance.


Author(s):  
Jessica Morley ◽  
Anat Elhalal ◽  
Francesca Garcia ◽  
Libby Kinsey ◽  
Jakob Mökander ◽  
...  

AbstractAs the range of potential uses for Artificial Intelligence (AI), in particular machine learning (ML), has increased, so has awareness of the associated ethical issues. This increased awareness has led to the realisation that existing legislation and regulation provides insufficient protection to individuals, groups, society, and the environment from AI harms. In response to this realisation, there has been a proliferation of principle-based ethics codes, guidelines and frameworks. However, it has become increasingly clear that a significant gap exists between the theory of AI ethics principles and the practical design of AI systems. In previous work, we analysed whether it is possible to close this gap between the ‘what’ and the ‘how’ of AI ethics through the use of tools and methods designed to help AI developers, engineers, and designers translate principles into practice. We concluded that this method of closure is currently ineffective as almost all existing translational tools and methods are either too flexible (and thus vulnerable to ethics washing) or too strict (unresponsive to context). This raised the question: if, even with technical guidance, AI ethics is challenging to embed in the process of algorithmic design, is the entire pro-ethical design endeavour rendered futile? And, if no, then how can AI ethics be made useful for AI practitioners? This is the question we seek to address here by exploring why principles and technical translational tools are still needed even if they are limited, and how these limitations can be potentially overcome by providing theoretical grounding of a concept that has been termed ‘Ethics as a Service.’


Author(s):  
Zahra Safari ◽  
Reza Fouladi-Fard ◽  
Razieh Vahidmoghadam ◽  
Mohammad Raza Hosseini ◽  
Abolfazl Mohammadbeigi ◽  
...  

This study aimed to assess the awareness and performance of Qom citizens towards using disinfectants and compared its relationship with geographical distribution of COVID-19 outbreak in Qom, Iran. The study was conducted by a researcher-made questionnaire during April and May, 2020. COVID-19 incidence data for each district of city was obtained from health department of Qom province. Data were analyzed using Excel, SPSS and ArcView (GIS) softwares. It was found that the highest level of citizens’ awareness (52%) was in the weak range while their performance (56%) was in the good range. According to Spearman’s correlation analysis, there was a strong correlation (rho 0.95) between the total mean of awareness and performance (p < 0.01). The highest incidence rate of COVID-19 was in district 7 which had the lowest mean score in both awareness and performance. In addition, the results of ANOVA (LSD—least significant difference) showed that there was a significant difference (p < 0.05) between district 7—with lower mean scores in awareness and performance—and other districts. Overall, it is concluded that citizens’ awareness level was lower than that of their performance. This conclusion not only calls for more training programs to be implemented in public places, schools, universities and governmental offices, but it also necessitates maintaining a proper and timely training about using disinfectants.


2021 ◽  
Vol 13 (4) ◽  
pp. 2275
Author(s):  
Samuel López-Carril ◽  
Miguel Villamón ◽  
María Huertas González-Serrano

Social media are one of the most valuable management tools used by sport managers in the fulfilment of their daily tasks. However, the studies that share and analyse the impact of educational experiences that incorporate social media into sport management education for professional purposes are scarce to date. Thus, this study presents an educational innovation piloted in a sport management course where LinkedIn—the social media most associated with the professional sphere—is introduced through an experiential learning methodology, as a driver of students’ career development and as a tool to keep up to date and interact with the sport industry. To assess the learning outcomes, a new scale was developed and tested. A total of 90 Spanish undergraduate sport management students (M = 22.71; SD = 3.84) participated in the study, partaking in a pre-test and a post-test. Regarding the results linked to the testing of the scale, the statistical analysis reflects the scale’s two-dimensional nature, explaining 68.78% of the variance, presenting good psychometric properties (α = 0.95). On the other hand, significant increases in all the scale items between the two measures were obtained, with large effects size in the two dimensions (Cohen’s d ≥ 0.80). Therefore, it is concluded that LinkedIn can help to develop the professional profile of sport management students, Linked(In)g what is taught in the classroom with what the sport industry demands.


AI and Ethics ◽  
2021 ◽  
Author(s):  
Muhammad Ali Chaudhry ◽  
Emre Kazim

AbstractIn the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers’ workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd’s research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.


Author(s):  
Zhuo Zhao ◽  
Yangmyung Ma ◽  
Adeel Mushtaq ◽  
Abdul M. Azam Rajper ◽  
Mahmoud Shehab ◽  
...  

Abstract Many countries have enacted a quick response to the unexpected COVID-19 pandemic by utilizing existing technologies. For example, robotics, artificial intelligence, and digital technology have been deployed in hospitals and public areas for maintaining social distancing, reducing person-to-person contact, enabling rapid diagnosis, tracking virus spread, and providing sanitation. In this paper, 163 news articles and scientific reports on COVID-19-related technology adoption were screened, shortlisted, categorized by application scenario, and reviewed for functionality. Technologies related to robots, artificial intelligence, and digital technology were selected from the pool of candidates, yielding a total of 50 applications for review. Each case was analyzed for its engineering characteristics and potential impact on the COVID-19 pandemic. Finally, challenges and future directions regarding the response to this pandemic and future pandemics were summarized and discussed.


2021 ◽  
Vol 2 (01) ◽  
pp. 10-18
Author(s):  
Dhavindra Rawal

This study aims at examining consumers’ awareness level towards labeling information of product in marketing practices based on an empirical study of college students in Tikapur  Municipality, Kailali. This study depends on a purposive sample of 180 students whichhave been selected from management, education and humanities faculties studying in graduate level at Tikapur Multiple Campus and Birendra Vidhya Mandir Campus at Tikapur, with a structured questionnaire to measure consumer buying behavior regarding the basic labeling information of packaged products, utilizing a four-point rating scale for measurement. The overall findings communicate that the aggregate consumers’ awareness level is low towards labeling information of packaged product in marketing practices. Furthermore, awareness level of management students is high in comparison to nonmanagementstudent.Similarly,maleconsumersarefoundmoreawarethanfemale.Thisstudyexploresthestatusandlevelofconsumerawarenessforthefirsttimeinstudyareaalongwiththesuggestionstoconsumers,businessmen,consumerforum,governmentunitsandpublic policymakers to improve the current status of consumer awareness, with implications for better business strategies and more useful to  consumerism.


2021 ◽  
Vol 17 (1) ◽  
pp. 48-67
Author(s):  
Monika Singh ◽  
Ganesh P. Sahu

Almost all service organizations are now well aware about global warming and advantages of green information systems (Green IS) in order to gain social and economic profit at the cost of no harmful effect on environment. Recurrent annotations in the literature have explored that for successful Green IS adoption certain keys factors are required to be considered and followed in various organizations. This paper reviews, analyzes, and corroborates 11 key factors empirically that are accountable for successful adoption of Green IS and performance improvement achievement of banking segments with special reference to the banks positioned at Lucknow, Uttar Pradesh, India. Eleven key factors are identified via in-depth literature review and examined using UTAUT2 and T-O-E models. Analysis of Moment Structure 21.0-Structural Equation Modeling tool is used in the study for data analysis and corroboration. The study will enrich the literature review in this field; also, it will be helpful to the decision makers and practitioners in different segments for successful adoption of Green IS in organizations.


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