The scarcity of water resources, climate change, and water-wasting behavior have contributed to a worsening water crisis in many countries. This has raised concerns among farmers and increased pressure on governments. Digital technologies provide effective solutions to reduce resource waste; therefore, exploring farmers’ willingness to implement water-smart farming technologies to reduce waste, especially in developing countries, requires further analysis. To address this gap, this paper aims to investigate the factors that influence farmers’ intention to minimize water waste in Algeria. The theory of planned behavior was extended with the constructs of perceived usefulness of water-smart farming and knowledge of water waste reduction. Primary data were collected from 202 farmers to test the model. The empirical evidence suggests that attitudes, knowledge about water waste reduction, perceived usefulness, and perceived behavioral control significantly predict farmers’ intention to reduce waste. These factors explained 54.6% of the variation in intention. However, social influence was not found to be a significant antecedent of intentions. This paper’s findings can provide useful insights for various stakeholders on how to encourage farmers to reduce water waste and offer guidance on strategies for achieving sustainability in agriculture.

Mobile health apps have been widely considered in the healthcare sector as innovative channels to reach patients and their families. Accordingly, the aim of the chapter was to investigate factors that influence the customers' adoption of digital health apps in Algeria. The authors adopted an extended technology acceptance model (TAM) framework by integrating the constructs of perceived self-efficacy and trust. A structured questionnaire survey was used to collect data from 186 participants in five cities. Multiple linear regression analysis was used for data analysis. Findings show that perceived usefulness, attitudes, perceived self-efficacy, and perceived ease of use significantly and positively predicted customers' intention to use digital health apps. However, behavioural intention to use was not significantly and positively influenced by trust in digital health system. Moreover, results revealed that the extended TAM explained 60.1% of the variance of intention. The chapter provides valuable results concerning the determinants of adoption of digital health apps.

Drug waste poses a real threat to human health and the environment. Therefore, recycling and sustainability scholars have recently sought practical solutions to the drug waste problem. Furthermore, several governments have made significant efforts to reduce the negative effects of waste, such as establishing programs to take back unwanted drugs (expired and unused) for recycling (i.e., drug reuse or drug redispersing). However, many of these programs have failed to achieve their goals. In this context, it is expected that creating green start-ups to collect unwanted drugs will contribute to solving this problem. Accordingly, this study aims to investigate the antecedents of intentions to create green start-ups for collecting unwanted drugs. To this end, the authors integrate start-up self-efficacy and drug waste collection-related knowledge constructs into the theory of planned behavior (TPB). Using a self-administered paper questionnaire and relying on a convenience sample, data were collected from 328 students in six Algerian universities. A hierarchical multiple regression was conducted to test the proposed study model. Theresults revealed that perceived behavioral control (PBC) (β = 0.187, p < 0.001), attitudes (β = 0.182, p = 0.002), start-up self-efficacy (β = 0.169, p = 0.001), drug waste collection-related knowledge (β = 0.161, p < 0.001), and subjective norms (β = 0.088, p < 0.05) have a positive significant effect on the intention to create a start-up to collect unwanted drugs. In conclusion, this paper contributes to reducing drug waste by investigating the drivers of intention to create green start-ups for collecting unwanted drugs. Therefore, our study is expected to provide valuable insights for hospitals, pharmacies, pharmaceutical manufacturers, environmental protection associations, and stakeholders interested in reverse logistics.

The rapid expansion of digital platforms has significantly influenced consumer purchasing behaviors, particularly in the agri-food sector. Therefore, this paper investigates the key factors driving customers’ intention to use green agri-food delivery apps (GAFDAs) by integrating trust and electronic word of mouth (eWOM) into the Theory of Planned Behavior (TPB) framework. Additionally, this study examines gender as a moderating variable, assessing whether its influence alters the relationships between key determinants and behavioral intention. Data were collected from 252 Algerian consumers, and the proposed model was tested using SmartPLS 4 and SPSS 26.0. The results confirm that attitude, subjective norms, perceived behavioral control (PBC), trust, and eWOM positively and significantly influence the intention to use GAFDAs, with PBC emerging as the strongest predictor. Moreover, gender moderates the effect of trust on behavioral intention, with trust significantly influencing men’s adoption decisions but not those of females. In contrast, subjective norms and PBC are stronger predictors for female consumers. These findings highlight the importance of gender-specific marketing strategies to enhance GAFDA adoption. This study contributes to the literature by extending TPB with trust, eWOM, and gender moderation, offering valuable insights for marketers, policymakers, and app developers promoting sustainable food consumption.

This study explores the psychological and social impacts of the forced use of self-service technologies (SSTs) in South Korea’s hospitality and tourism sectors, focusing on perceptions of service dehumanization among different age groups. Grounded in symbolic interactionism theory, the research aims to uncover how reduced interpersonal interaction affects perceived service quality and emotional response. A quantitative approach was employed using data collected from 300 Korean adults (150 older adults and 150 young adults). The study utilized the PROCESS Macro to test mediation effects of reduced human contact, empathy, and authenticity, as well as the moderating role of employee presence in shaping dehumanization perceptions. The results indicate that the mandatory use of SSTs significantly diminishes the perceived social value of service encounters, thereby increasing feelings of dehumanization. This effect is mediated by a reduction in human contact, empathy, and authenticity. Moreover, the presence of employees moderates this relationship, particularly intensifying dehumanization perceptions among older adult participants. Gender was not a significant factor in these perceptions. These findings suggest that while SSTs may improve operational efficiency, their forced implementation can negatively impact customer experience, especially for older adults. Hospitality and tourism providers should consider hybrid service models that maintain optional human interaction to mitigate adverse psychological effects. This study contributes to the limited research on SSTs and service dehumanization by integrating symbolic interactionism theory and highlighting the moderating role of employee presence. It offers novel insights into age-related differences in SST acceptance and the socio-emotional costs of automation in service contexts.

Purpose: The 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/approach: The 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.Findings: Findings 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 implications: The 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/value: This 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.