scholarly journals Research on the impact of artificial intelligence recommendation on academic procrastination under the background of big data——The mediating role of mobile phone addiction

2021 ◽  
Vol 1948 (1) ◽  
pp. 012001
Author(s):  
Xiajun Shu ◽  
Yunting Miao
2021 ◽  
Vol 3 (1) ◽  
pp. p1
Author(s):  
Wang Bei ◽  
Su Yitong ◽  
Li Zeyu

Objectives: The purpose of this study was to explore the impact of loneliness on the mobile phone addiction, and to investigate the role of the psychological variable of online social support. Methods: 622 college students were surveyed by using the mobile phone addiction index (MPAI) scale, Online Social Support Questionnaire for College Students and the short-form of the UCLA Loneliness Scale. Results: The main effect of online social support and the mobile phone addiction on education level was significant. Loneliness was negatively correlated with online social support and the mobile phone addiction, online social support is positively correlated with the mobile phone addiction. Online social support was a complete mediator between loneliness and the mobile phone addiction.


Author(s):  
Ahmed Al-Dmour ◽  
Rand H. Al-Dmour ◽  
Hani H. Al-Dmour ◽  
Eatadal Basheer Ahmadamin

This study aims to examine and validate the impact of big data analytical capabilities (individual, organizational, and technological) on bank performance via the mediating role of Fintech innovation in commercial banks operating in the United Arab Emirates (UAE). Based on a literature review, resource-based theory, and financial innovation theory, an integrated conceptual framework was developed to guide the study. A quantitative survey approach was used, and the data was collected from 236 banks' senior managers (IT, financial, and marketers). Amos 21 structural equation modeling (SEM) was used to analyze and verify the study variables. The main findings revealed that big data analytical capabilities had a significant positive influence on bank performance. Fintech innovation acted as partial mediators in this relationship.


2021 ◽  
Author(s):  
Tahereh Saheb ◽  
Bahareh Amini

Abstract Purpose: The goal of digital marketing is to enhance strategic decision making to discover competitive and consumer behavior, and to provide early warnings of risks and opportunities. In the age of digitalization, digital marketing may be influenced with the use of cognitive technologies and also open sources of big data. The aim of this paper is to understand the impact of artificial intelligence analytics on digital marketing and the role of open big data and AI analytics competencies in this relationship.Design: A structural equation modeling of the 227 questionnaire was carried out. Findings: Our analysis shows that open big data has a significant impact on digital marketing, and AI analytical competencies moderate the impact of open big data on digital marketing. Value: Theoretically, this study extends the literature on knowledge-based view and AI analytics in digital marketing. Practically, this study broadens understandings regarding the perquisites of digital marketing through the use of cognitive technologies and open big data


Author(s):  
Nader Ayadi ◽  
Saeed Pireinaladin ◽  
Mehdi Shokri ◽  
Shahriyar Dargahi ◽  
Fatemeh Zarein

Objective: Adolescence is a critical period in terms of development and education, in which there are numbers of highrisk behaviors that can negative effects on personal and educational life. One of these high-risk behaviors is mobile phone addiction that is a sociopsychological phenomenon, and the lack of control in the use of this technology by students can cause damage to various aspects of their personal and educational lives. The aim of the present study was to investigate the mediating role of procrastination in the relationship between positive and negative perfectionism and addiction to mobile phone in gifted students. Method: This was a descriptive and correlational study in which 200 gifted students from gifted students’ high school of Meshghinshahr were selected using cluster sampling in 2020. Tri-Shot Perfectionism questionnaires, Tuckman Procrastination Scale, and Savari Mobile Phone Addiction questionnaire were applied to collect data. Descriptive statistics, correlation matrix, and path analysis (Structural Model) were used to analyze data. Results: The findings revealed positive and negative perfectionism was not directly related to cell phone addiction. However, positive perfectionism through procrastination meditation had a negative and indirect relationship with mobile phone addiction (β = -0.18), and negative perfectionism through procrastination meditation had a positive and indirect relationship with mobile phone addiction (β = 0.17). In other words, procrastination is a complete mediation in the relationship between negative and positive perfectionism and cell phone addiction in students (β = 0.29). Conclusion: The results emphasized the effect of procrastination on the relationship between positive and negative perfectionism and mobile phone addiction in gifted students. Therefore, these findings can help school and rehabilitation counselors to prepare programs for reducing students' addictive and avoidant behaviors.


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