Do digital students show an inclination toward continuous use of academic library applications? A case study

Rafique, Hamaad; Alroobaea, Roobaea; Munawar, Bilal Ahmed; Krichen, Moez; Rubaiee, Saeed; Bashir, Ali Kashif

doi:10.1016/j.acalib.2020.102298

Cited by 28 publications

(18 citation statements)

References 59 publications

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“…It seems realistic, as many students who need a practical work to complete their learning cannot do it online. It is consistent with Volodina et al (2019) (Rafique et al, 2021;Mustafa et al, 2022d). We found surprising results in our study; although the students are satisfied with online teaching modes in given circumstances (COVID-19), they are not willing to adopt the methods of teaching in the future.…”

Section: Discussionsupporting

confidence: 86%

“…Researchers have found that satisfaction from 5G services leads to their adoption in the future (Mustafa et al, 2022d), electronic gadgets (Mustafa et al, 2022a), electronic vehicle adoption (Mustafa et al, 2021), the effect of climate change and adoption techniques to minimize risk (Sohail et al, 2022b), green transportation adoption (Sohail et al, 2021). Furthermore, researchers have revealed that the level of satisfaction experienced by users will have a favorable and substantial influence on their desire to continue using academic library applications (Rafique et al, 2021). Satisfaction from training and vocational education leads to life satisfaction (Volodina et al, 2019), but students that engage in degrees/courses that require practical work may not like to use them in the future because of their learning requirements (Eckhaus and Davidovitch, 2021).…”

Section: Satisfaction and Adoption Intentionmentioning

confidence: 99%

“…Students perceive it differently. It also affects students learning capacity and outcome (Coenen et al, 2021;Mateus et al, 2021;Rafique et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Digital Students’ Satisfaction With and Intention to Use Online Teaching Modes, Role of Big Five Personality Traits

et al. 2022

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During the COVID-19 pandemic, online teaching modes were found vital to continue students’ learning process, but sustainable implementation of online teaching models is an area of concern for policymakers. Psychiatrists are also eager to know students’ behavior toward learning and modes of teaching during COVID-19. We have drawn a model based on the big five personality traits to study students’ satisfaction with online teaching modes and their adoption intentions toward online teaching modes. We have collected data from 718 bachelor’s and master’s level students from four different universities. We have applied the SEM-ANN dual-stage approach to test personality traits’ influence and ranked them based on their normalized importance. The results revealed that agreeableness, conscientiousness, neuroticism, and openness positively influence students’ satisfaction with online teaching models, but that extraversion negatively influences their satisfaction. Agreeableness, extraversion, and neuroticism positively impact, but openness negatively influences. Conscientiousness does not affect adoption intention. Furthermore, agreeableness is the most significant, and conscientiousness is the least important factor for students to adopt online teaching modes. The findings of the study have useful perceptiveness for educational policymakers, academics, and psychiatrists.

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Section: Discussionsupporting

confidence: 86%

Section: Satisfaction and Adoption Intentionmentioning

confidence: 99%

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Digital Students’ Satisfaction With and Intention to Use Online Teaching Modes, Role of Big Five Personality Traits

et al. 2022

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“…Effort expectancy (EE) means the system’s or innovative product’s simplicity of use ( Venkatesh et al, 2003 ). Researchers found that EE is a key factor in purchasing any technical product because if the product is easy to use, consumers buy it compared to complex and hard-to-learn products ( Cai et al, 2021 ; Rafique et al, 2021 ). Mustafa et al (2022) claim that when new technology is readily accessible and easy to use, people are more receptive.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Éclaircissement to Understand Consumers’ Decision-Making Psyche and Gender Effects, a Fuzzy Set Qualitative Comparative Analysis

et al. 2022

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Consumers’ decision-making is complex and diverse in terms of gender. Different social, psychological, and economic factors mold the decision-making preferences of consumers. Most researchers used a variance-based approach to explain consumer decision-making that assumes symmetric relationship between variables. We have collected data from 468 smartwatch users and applied a fuzzy set qualitative comparative analysis (fsQCA) to explain and compare male and female consumers’ decision-making complexity. fsQCA assumes that an asymmetric relationship between variables can exist in the real world, and different combinations of variables can lead to the same output. Results explain that different variables have a core and secondary level of impact on consumer decision-making. Hence, we can not claim that certain factors are significant or insignificant for decision-making. fsQCA results revealed that cost value, performance expectancy, and social influence play a key role in consumers’ buying decisions. This study has contributed to the existing literature by explaining consumer decision-making by applying configuration and complexity theories and identifying unique solutions for both genders. A major contribution to theoretical literature was also made by this research, which revealed the complexity of consumer purchasing decisions made for new products.

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“…In the second part, six factors were discussed, and their influence was measured using a five-point Likert scale that ranges from strongly disagree to strongly agree. The items of the factors (PU and PEOU [ 75 ], PM [ 56 ], EE [ 76 ], PLA [ 22 ], PP [ 77 ], and BI [ 14 ]) were adapted from related studies. There were five items for PU, four items for PEOU, PLA, PP, and EE, and three items associated with BI.…”

Section: Methodsmentioning

confidence: 99%

Ride or Not to Ride: Does the Customer Deviate toward Ridesharing?

Shamim

Khan

Qureshi

et al. 2021

IJERPH

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Traditional taxi services have now been transformed into e-hailing applications (EHA) such as Uber, Careem, Hailo, and Grab Car globally due to the proliferation of smartphone technology. On the one hand, these applications provide transport facilities. On the other hand, users are facing multiple issues in the adoption of EHAs. Despite problems, EHAs are still widely adopted globally. However, a sparse amount of research has been conducted related to EHAs, particular in regards to exploring the significant factors of intention behind using EHAs Therefore, there is a need to identify influencing factors that have a great impact on the adoption and acceptance of these applications. Hence, this research aims to present an empirical study on the factors influencing customers’ intentions towards EHAs. The Technology Acceptance Model (TAM) was extended with four external factors: perceived mobility value, effort expectancy, perceived locational accuracy, and perceived price. A questionnaire was developed for the measurement of these factors. A survey was conducted with 211 users of EHAs to collect data. Structural equation modeling (SEM) was used to analyze the collected data. The results of this study exposed that perceived usefulness, perceived price, and perceived ease of use affect behavior intention to use EHAs. Furthermore, perceived ease of use was impacted by effort expectancy, perceived locational accuracy, and perceived mobility. The findings of the study provide a foundation to develop new guidelines for such applications that will be beneficial for developers and designers of these applications.

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Do digital students show an inclination toward continuous use of academic library applications? A case study

Cited by 28 publications

References 59 publications

Digital Students’ Satisfaction With and Intention to Use Online Teaching Modes, Role of Big Five Personality Traits

Digital Students’ Satisfaction With and Intention to Use Online Teaching Modes, Role of Big Five Personality Traits

Éclaircissement to Understand Consumers’ Decision-Making Psyche and Gender Effects, a Fuzzy Set Qualitative Comparative Analysis

Ride or Not to Ride: Does the Customer Deviate toward Ridesharing?

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