Digital Transformation

Bouarar, Ahmed Chemseddine; Mouloudj, Smail; Mouloudj, Kamel

doi:10.4018/978-1-7998-9117-8.ch003

Cited by 17 publications

(14 citation statements)

References 41 publications

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“…Hence, it is logical for volunteers to gravitate away from the traditional form to the new form of volunteering. Our results support the findings of a study carried out by Bouarar et al. (2021), which revealed that “fear of COVID-19” was the strongest antecedent of intention.…”

Section: Resultssupporting

confidence: 91%

Antecedents of physicians' intentions to engage in digital volunteering work: an extended technology acceptance model (TAM) approach

Bouarar

Mouloudj

Umar

et al. 2023

JICA

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PurposeThe digitalization has changed the volunteer paradigm, making young volunteers use technology in their volunteering activities. The current study sets out to identify and model the antecedents that determine intention to engage in digital health volunteering among Algerian physicians to give insights promoting the development of digital volunteering in different countries of the world.Design/methodology/approachTo this end, the authors used a survey design to extend the technology acceptance model (TAM) with two construct (self-efficacy and perceived risk of COVID-19 infection). A convenience sample of 163 physicians; working in the private and public sectors in six provinces of Algeria was selected. The data were analyzed through a multiple linear regression.FindingsThe findings show that the perceived usefulness, ease of use, attitudes toward digital volunteering, level of self-efficacy and perceived risk of COVID-19 infection have a significant positive effect on physicians' intentions to engage in digital volunteering work in the context of health crises.Practical implicationsThis study reveals that engaging in digital volunteering can be promoted during health crises as an effective strategy to provide support and assist public health institutions and emergency management.Originality/valueTo the best of the authors' knowledge, this is the first study from Africa that explores digital volunteer work, and the first study that extends the TAM to investigate digital volunteer intention among physicians.

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Section: Resultssupporting

confidence: 91%

Antecedents of physicians' intentions to engage in digital volunteering work: an extended technology acceptance model (TAM) approach

Bouarar

Mouloudj

Umar

et al. 2023

JICA

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“…Many previous studies have confirmed the high level of the perceived risk of COVID-19, especially during peak periods among different segments of society (e.g. Bouarar et al. , 2021; Tran et al.…”

Section: Resultsmentioning

confidence: 80%

“…(2017). The perceived risk of COVID-19 was measured using a scale adapted from Bae and Chang (2021) and Bouarar et al. (2021).…”

Section: Methodsmentioning

confidence: 99%

“…(2009) indicated that moral obligation is likely the most variable that improves the predictive validity of the TPB, and it expanded the variance explained in intentions by 3%. In addition, Bouarar et al. (2021) integrated fear of COVID-19 into the TPB to understand intention to use online food delivery services, and their findings revealed that the extended TPB model has a good fit.…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

“…, 2020). Bouarar et al. (2021) found that fear of COVID-19 has affected customers' intention to use online food ordering apps.…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

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Investigating predictors of medical students' intentions to engagement in volunteering during the health crisis

Mouloudj

Bouarar

2023

AJEMS

Self Cite

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PurposeThe purpose of the present paper is to investigate Algerian medical students' intention to participate in volunteer work during the coronavirus disease 2019 (COVID-19) pandemic.Design/methodology/approachThe authors adopted an extended theory of planned behavior (TPB) framework by integrating the constructs of personal moral norms and perceived risk of COVID-19 and followed a self-administered questionnaire survey to collect data among a convenience sample of medical students (n = 267) in five Algerian universities. The data obtained were analyzed through a hierarchical multiple regression process in which three models were considered.FindingsFindings of this study show that attitude toward volunteering, perceived behavior control (PBC), personal moral norm and subjective norm significantly and positively predicted medical students' intention to engage in volunteer work during the COVID-19 pandemic. However, students' perceived risk of COVID-19 significantly and negatively predicted students' intention to participate in volunteer activities. Moreover, the authors' analyses showed that the extended TPB model explained 75.1% of the variance of intention.Practical implicationsThe findings of this study have implications for understanding medical students' volunteer behavior during health crises. Some implications are provided for the crisis and emergency managers of hospitals and policymakers to attract and recruit enough medical students' volunteers for future waves of COVID-19 or other similar health crises.Originality/valueThis is the first paper from Algeria and one of the few from Africa that identifies predictors of intentions to participate in volunteer activities among medical students.

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A Digital Transformation (DT) Model for Intelligent Organizational Systems: Key Constructs for Successful DT

George¹,

Howard²

2023

Lecture Notes in Networks and Systems

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Digital Transformation

Cited by 17 publications

References 41 publications

Antecedents of physicians' intentions to engage in digital volunteering work: an extended technology acceptance model (TAM) approach

Antecedents of physicians' intentions to engage in digital volunteering work: an extended technology acceptance model (TAM) approach

Investigating predictors of medical students' intentions to engagement in volunteering during the health crisis

A Digital Transformation (DT) Model for Intelligent Organizational Systems: Key Constructs for Successful DT

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