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Quality of life is dependent on a healthy lifestyle and the self-care behavior of individuals. The study's purpose is to find out the determinants of individuals' self-care behavior. As such, self-care behavior is influenced by several factors that include individual knowledge, available information sources and their use, information-seeking related skills and cognitive state.

A quantitative research design followed using a questionnaire-based survey method. A total of 384 responses from the Pakistani public were collected using the convenience sampling technique. Structural equation modeling (SEM) was performed for examining the possible link between the variables.

Health literacy, Internet and social media use, and health information-seeking behavior had a direct/indirect positive impact on self-care behavior, but health anxiety had a negative impact. Health literacy and health information-seeking behavior positively mediated the relationship among Internet and social media use health anxiety and self-care.

Improving health literacy appears to be key to supporting better self-care, but it is an exploratory study, more research is required to confirm these findings. Policymakers, health professionals and information professionals should work together to improve health literacy and support informed self-care among the population.

Thus far, no previous study has examined the collective role of social media exposure, health anxiety, health literacy and health information-seeking behavior as predictors of self-care behavior. Although self-care behavior among the general population might be different compared to chronic patients, only few studies have examined the former as a unit of analysis.

The authors examined how employee led exchange benefits the organizations. Specifically, the authors aim at investigating the mediating role of family supportive supervision between employee performance and taking charge behavior. The authors further examined leader-member exchange (LMX) as a boundary condition between employee performance and family supportive supervision.

The authors collected data from 295 employees and their supervisors working in various public sector organizations of Pakistan on a convenience basis. Specifically, data on family supportive supervision and LMX was collected from employees; whereas, data on employee performance and taking charge was collected from their supervisors between June–September 2021.

The statistical analysis reveals that high-performing employees are reciprocated by the high family-supportive supervision which increases their work-life balance and they further reciprocate by showing a propensity to take charge. In addition, LMX is noted to strengthen the association between employees' performance and family supportive supervision.

This study explains how managers can extend the stream of employees' performance by highlighting the role of family-supportive supervision and LMX. The managers through high LMX and provision of family-supportive supervision can boost the employees' outcomes from job performance to extra-role performance (i.e. taking charge).

This study adds value to the existing body of knowledge by considering performance as a predictor of various organizational-level consequences. Recent studies have considered the negative consequences of employees' performance, while the positive aspect has been called for an investigation.

Academic procrastination, characterized by the act of postponing the completion of an assignment, is a prevalent behaviour observed among students worldwide and has significant consequences for academic achievement. This study investigates the influence of academic procrastination on academic achievement in university students. This study also determines the mediating effect of locus of control and the moderating effect of parental involvement on the relationship between academic procrastination and academic achievement.

This work utilized a cross-sectional and causal research design. The study used a survey in English to obtain responses from university students within the Northern Indian Region. The study received 539 responses from participants and 507 were used after data cleaning. This study used structural equation modelling using AMOS 25.0 for hypothesis testing.

The regression analysis using structural equation modelling showed that the external locus of control leads to academic procrastination, whereas the internal locus of control negatively affects academic procrastination. In addition, academic procrastination negatively influences academic achievement, emphasizing procrastination’s adverse effects on students’ performance. Moreover, academic procrastination mediates and parental involvement moderates the association between locus of control and academic achievement.

The present study investigated a unique conceptual framework involving locus of control, parental involvement, academic procrastination and academic accomplishment. The study makes an essential contribution to educational psychology and also enhances earlier theoretical frameworks concerning antecedents of academic accomplishments in university students.

In this article, we assess the impact of inflation on the current account balance in the case of Tunisia, covering the period 1976–2022.

The study utilizes a threshold regression approach proposed by Hansen (2001) in a bid to identify inflation threshold values.

The results show two inflation threshold values (3.87% and 8.41%), which determine three inflation regimes in the case of Tunisia. In lower inflation regimes, inflation has a positive and statistically significant impact on the current account balance. However, in higher inflation regimes, where inflation rates exceed 3.87%, there is a negative and statistically significant correlation with the current account balance, resulting in a deficit.

The research suggests the need for a new policy approach that considers these threshold levels to address high inflation rates, which currently stand at approximately 11%, and aims to restore them to the targeted rate of 4%. This necessitates coordinated monetary and fiscal measures.

Social protection states the public-mandated (strategies and programmes) to address the vulnerability and risk among poor and near-poor households. Social protection must not only help people meet their basic needs but also contribute to the long-term well-being and broader societal goals of equity, social justice and empowerment. The role of social protection in achieving these goals has not been adequately documented. This paper examines the performance of the social protection mechanism from the perspective of the regional structural and institutional performance indicators. Social protection outlay dynamics are synthesized in the structural and institutional conducts.

A world regional comparability is made by considering the panel dataset for the time interval 1995–2020. In empirics, the unconditional and conditional ranks are constructed, and regression analyses are made subject to (1) the fiscal constraint of social protection, (2) structural performance indicators and (3) the institutional performance indicators of the targeted regions across the globe. The fully modified-ordinary least square (FM-OLS) method is used to construct the ranks.

The rank analysis demonstrates that the developed regions (i.e. Europe, Central Asia and North America) have relatively good welfare standards and fiscal capacity for social protection drives compared to the developing/underdeveloped regions (i.e. Sub-Saharan Africa and South Asia). The structural/institutional performance indicators have shown their significance in determining/utilizing their budget for social protection and maintaining welfare standards. Interestingly, most developed regions are relatively reluctant to maintain the structural/institutional performance for the determination/execution of the funds for social protection as compared to the developing and underdeveloped regions.

In policy discourse, this research suggests that governments must make some market operations to enhance their regions’ structural and institutional performance to get better outcomes of social protection spending in the form of attractive welfare standards.

Multiple studies have been done considering the social protection dynamics at nano, micro and macro levels, while this study considered the mega dataset across the globe to analyse the social protection dynamics in consideration of structural and institutional performances.

This research aims to determine how abusive leadership negatively affects knowledge workers' productivity and its potential influence on digital innovation. The present study also explores the mediating role of a knowledge worker’s competence between abusive leadership and knowledge worker productivity.

The study employed a quantitative research approach. Data were gathered through purposive sampling using 255 questionnaires completed by IT industry knowledge workers in Pakistan. The data were analyzed using the SMART-PLS 4.0 software.

The findings demonstrated a negative correlation between abusive leadership and knowledge worker productivity. Additionally, the relationship was partially mediated by knowledge worker competence. Furthermore, the study asserts that knowledge worker productivity has a substantial positive impact on digital innovation.

This study contributes substantially to the existing body of evidence on the productivity of knowledge workers and digital innovation by examining the interlocking effects of abusive leadership. It also implies the interpersonal mechanism of employee competence that connects abusive leadership with the productivity of knowledge workers and digital innovation. Thus, this study is one of the first inquiries to analyze this paradigm.

Online privacy pertains to an individual’s capacity to regulate and oversee the gathering and distribution of online information. Conversely, online privacy concern (OPC) pertains to the protection of personal information, along with the worries or convictions concerning potential risks and unfavorable outcomes associated with its collection, utilization and distribution. With a holistic approach to these relationships, this study aims to model the relationships between digital literacy (DL), digital data security awareness (DDSA) and OPC and how these relationships vary by gender.

The participants of this study are 2,835 university students. Data collection tools in the study consist of personal information form and three different scales. Partial least squares (PLS), structural equation modeling (SEM) and multi-group analysis (MGA) were used to test the framework determined in the context of the research purpose and to validate the proposed hypotheses.

DL has a direct and positive effect on digital data security awareness (DDSA), and DDSA has a positive effect on OPC. According to the MGA results, the hypothesis put forward in both male and female sub-samples was supported. The effect of DDSA on OPC is higher for males.

This study highlights the positive role of DL and perception of data security on OPC. In addition, MGA findings by gender reveal some differences between men and women.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2023-0122

Cilia serves numerous biological functions in the human body. Malfunctioning of nonmotile or motile cilia will have different kinds of consequences for human health. More specifically, the directed and rhythmic beat of motile cilia facilitates the unidirectional flow of fluids that are crucial in both homeostasis and the development of ciliated tissues. In cilia-dependent hydrodynamic flows, tapering geometries look a lot like the structure of biological pathways and vessels, like airways and lymphatic vessels. In this paper, the Carreau fluid model through the cilia-assisted tapered channel (asymmetric) under the influence of induced magnetic field and convective heat transfer is investigated.

Lubrication theory is a key player in the mathematical formulation of momentum, magnetic field and energy equations. The formulated nonlinear and coupled differential equations are solved with the aid of the homotopy perturbation method (HPM). The graphical results are illustrated with the help of the computational software “Mathematica.”

The impact of diverse emerging physical parameters on velocity, induced magnetic field, pressure rise, current density and temperature profiles is presented graphically. It is observed that the cilia length parameter supported the velocity and current density profiles, while the Hartman number and Weissenberg number were opposed. A promising effect of emerging parameters on streamlines is also perceived.

The study provides novel aspects of cilia-driven induced magnetohydrodynamics flow of Carreau fluid under the influence of induced magnetic field and convective heat transfer through the asymmetric tapered channel.

Engaging tourists with a destination brand can offer innumerable benefits. Based on stakeholder and social exchange theories, this study aims to comprehend destination social responsibility’s (DSR) role in inducing destination brand engagement (DBE) and favorable behavioral intentions, i.e. destination advocacy and revisit intentions. Further, the study examines self-congruence as a boundary condition to DSR’s impact on DBE.

Data were collected through an online survey of individuals in India and analyzed using structural equation modeling.

Findings highlight the importance of stakeholder and social exchange theories for socially responsible destinations by establishing a link between DSR and DBE, which adds to scholarship and holds practical relevance. Results confirm the moderating effects of self-congruence.

The study did not assume the variation of tourists based on their characteristics and types while examining the moderation effects.

Research adds value by establishing the importance of DSR in engaging tourists with a destination. Furthermore, the study demonstrates how engaged tourists can showcase favorable responses toward the destination.

The aim of this article is to map the use of AI in the user experience (UX) design process. Disrupting the UX process by introducing novel digital tools such as artificial intelligence (AI) has the potential to improve efficiency and accuracy, while creating more innovative and creative solutions. Thus, understanding how AI can be leveraged for UX has important research and practical implications.

This article builds on a systematic literature review approach and aims to understand how AI is used in UX design today, as well as uncover some prominent themes for future research. Through a process of selection and filtering, 46 research articles are analysed, with findings synthesized based on a user-centred design and development process.

The authors’ analysis shows how AI is leveraged in the UX design process at different key areas. Namely, these include understanding the context of use, uncovering user requirements, aiding solution design, and evaluating design, and for assisting development of solutions. The authors also highlight the ways in which AI is changing the UX design process through illustrative examples.

While there is increased interest in the use of AI in organizations, there is still limited work on how AI can be introduced into processes that depend heavily on human creativity and input. Thus, the authors show the ways in which AI can enhance such activities and assume tasks that have been typically performed by humans.