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Pictorial model12/28/2023 The data was gathered from 100 accounting students in a state-run college in an island province using a structured survey questionnaire and a simple random sampling technique. The researchers used descriptive-correlational research. This paper aimed to determine the challenges encountered by accounting students towards distance learning and their distance-learning interaction. It became mandatory in different parts of the world just to continue the educational system despite the insufficiency of resources. These findings suggest that it is possible to measure the emotional intelligence of coaches and offer the opportunity to continue investigating the relevance of constructing specific scales to measure this construct in the sports context.ĭistance learning became more evident during the covid-19 pandemic. The original four-factor model (awareness of one’s own emotions, management of one’s own emotions, awareness of others’ emotions, and management of others’ emotions) shows good reliability and convergent validity for all four factors except for the management of one’s own emotions. The results confirm that this instrument presents good psychometric properties to measure the emotional intelligence of sports coaches. Therefore, this study aimed to validate the Spanish version of the work group emotional intelligence profile short version (WEIP-S) in a sample of Spanish federated coaches. Although there are numerous tools to assess emotional intelligence, few of them have been validated explicitly in a sports sample, and even fewer have had coaches as a target population. In the sports context, it is a significant variable that can play an important role in improving the team’s performance. Lastly, a green IS research agenda is proposed to illustrate the applicability of the ADMS conceptualization to IS scholarship.Įmotional intelligence has been a topic of great interest to researchers in many different areas as it is associated with mental, psychosomatic, and physical health. The resulting conceptualization includes eleven key aspects representing the intricate socio-technical nature of current computing processes for decision-making. The conceptualization of ADMS is inductively generated following a grounded theory approach used to analyze the content of 54 IS articles. This literature review develops an inclusive conceptualization of ADMS through the ideas of AI and BDA to mitigate such shortcomings. However, the conceptual confusion around ADMSs limits information systems (IS) research in comprehensively studying them and their impacts within a clearly defined cumulative tradition. ADMSs are associated with significant opportunities and challenges in a wide range of high-impact application areas. The outcome of the study helps the policymakers to modify the current policy with respect to electric vehicle in the emerging nations.Īlgorithmic decision-making systems (ADMSs), consisting of the two distinct but related concepts of artificial intelligence (AI) and big data analytics (BDA), represent the most current computing advances for decision-making. The study identified factors such as Financial Barriers, Vehicle Performance Barriers, Lack of charging infrastructure, Environmental Conservation, Societal Influence, Social Awareness of Electric Vehicles as influencers towards electric vehicle adoption. A robust statistical method, such as exploratory factor analysis is conducted using IBM SPSS 23 to identify the factors. A quantitative approach is adopted and the data is collected from 172 respondents from Bengaluru through an online survey method using snowball sampling method. The paper aims to identify the possible factors in consumers’ intention of Electric Vehicle adoption. The ever-growing environmental concerns caused due to fossil fuel depletion and greenhouse gas (GHG) emissions has paved way for consumers to consider Electric Vehicles (EV) as a rapidly emerging operational alternative to vehicles that run on fossil fuels like petrol, diesel and CNG.
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