Search results

The purpose of this paper is to examine how digital literacy influences knowledge sharing and academic performance among graduate students in online learning environments.

Structural equation modeling via AMOS was utilized to test the research hypotheses in this cross-sectional study. Students’ digital literacy, their knowledge sharing, and their academic performance in online learning environments were surveyed by questionnaires. The sample of 330 graduate students was selected from a leading public university in Iran. Based on a stratified sampling approach, the recruited students answered questionnaires based on their degree level and field of study.

The results demonstrated that digital literacy was a positive and significant predictor of knowledge sharing and students' academic performance. Furthermore, the study revealed that knowledge sharing mediates the relationship between digital literacy and academic performance.

Our findings revealed that digital literacy positively and significantly predicts knowledge sharing and academic performance. This may be attributed to the fact that digital literacy is essential for developing digital learning in higher education. Conducting research on the antecedents and consequences of digital literacy in academic environments may prove attractive to future researchers.

Research on the influence of digital literacy on students’ knowledge sharing and academic performance in online learning environments is scarce. This study suggests that improving students’ digital literacy and knowledge sharing can enhance their performance in online learning environments, and it is a recommendation for university educators and educational technologists. Gaining insight into the influence of digital literacy on how students share knowledge and their academic achievements in virtual learning environments can have numerous managerial ramifications for administrators and instructors in higher education.

The advent of information and communication technologies in workplace settings has broadened the range of bullying behaviours that can manifest in the digital realm. However, there is a lack of knowledge concerning the impact of situational factors on employees' perceived cyberbullying within the workplace framework. Broadly, this study aims to investigate the effects of workplace cyberbullying on employees' wellbeing at work and their intention to stay with the organization, across two groups of employees: those who work in a fully remote mode and those employed in hybrid work arrangements.

The current descriptive and time-lagged study was conducted among a sample of 373 employees who work in the information technology sector in India, in either fully-remote or hybrid mode. The study utilized self-report questionnaires, which employed previously validated questionnaires. The hypotheses were tested using structural equation modelling and multi-group analysis using IBM SPSS, AMOS, and STATs Tools Package.

The results demonstrate that cyberbullying negatively affects wellbeing at work and employees' intentions to stay with the organization. Remote-work employees experienced higher effects of workplace cyberbullying on their wellbeing at work. Also, the indirect effect of wellbeing at work was more pronounced and influential among remote work employees than hybrid work employees, suggesting the need for tailored support and resources for remote workers. Multi-group analysis across employees working in remote and hybrid work arrangements revealed that the relationship between workplace cyber-bullying and wellbeing at work is statistically stronger for remote-work employees.

This study represents a novel approach to developing and evaluating a theoretical model that explores the relationship between workplace cyberbullying, wellbeing at work, and the intention to stay with the organization within the context of remote/hybrid work arrangements. The findings offer theoretical and practical implications regarding the impact of workplace cyberbullying on job outcomes and aim to bridge a gap in current research. Particularly, the study highlights the positive outcomes of hybrid work over remote work and offers recommendations to mitigate the negative experiences among employees who work remotely.

Despite the digital penetration in the larger consumer market, the adoption of e-pharmacy services is reported to be very low in emerging economies like India. In this context, the purpose of the current study is to examine the influence of consumers’ risk perception on their intention to purchase medicines/pharmaceuticals through online pharmacies. Furthermore, the study seeks to understand to what extent the perceived usefulness of online pharmacy mediates the relationship between different dimensions of perceived risk and purchase intention.

The study was conducted among a sample of 800 consumers in India who are familiar with online e-commerce. To ensure the homogeneity of the sample and hence the generalizations of results, inclusion criteria were set as not to include respondents who have made a prior purchase through e-pharmacy services. Self-reporting questionnaires were administered among the respondents, who were selected through a purposive and convenience sampling method. Measurement modeling and path analysis were done using IBM SPSS 23.0 and AMOS 24.0 to test the hypotheses and draw inferences.

Results revealed that consumers’ risk perceptions, such as financial, product, source and privacy risks, had a significant direct and indirect effect on their intention to purchase medicines through online pharmacies. India is the major universal provider of generic medicines. The insights gained from this study can help policymakers, corporates, consumers, distributors, retailers and marketing managers to frame effective strategies for improved usage of online platforms for procuring medications.

This study is pioneering in conceptualizing and testing a theoretical model linking consumers’ risk perceptions, perceived usefulness and intention to purchase through online pharmacies, particularly in the context of an emerging economy like India. Implications regarding facilitating and nurturing a conducive platform for online purchasing medicines and its outcomes are elaborated, thus striving to fill a gap in the existing literature. By examining the proposed framework through the lens of the technology acceptance model and theory of risk perception, this study seeks to add to the emergent literature on online pharmacies, especially in emerging economies with huge market potential.

This study aims to investigate employee motivation, enabling environmental factors and barriers to exercising green voice behavior (GVB) in Oil and Gas companies in Pakistan using the theoretical lens of the theory of planned behavior (TPB) and value–belief–norm (VBN) theory.

Thirty-five in-depth, semistructured interviews were conducted with middle-level employees of the three Oil and Gas exploration companies to explore the antecedents behind GVB of professionals.

Qualitative data show various antecedents of GVB (i.e. biospheric values, ecological worldview, awareness of adverse environmental consequences of irresponsible behavior, previous negative experiences with the environment, ascribed responsibility, personal norms, proenvironmental attitude, leaders’ related subjective norms, colleagues-related subjective norms, organizational-related subjective norms and perceived behavioral controls) and several contextual factors (employee’s previous eroded relationship with the management, inaction of management on green voice, organizational limited green capacity in terms of technical, financial or intellectual resources) as significant determinants to influence the exercise of GVB in the workplace. Out of the interviewees’ responses, a two-phase decision-making model has been developed showing the individual’s decision to engage in a proenvironmental voice.

This research integrates TPB and VBN theory to explain the GVB of industry professionals in Pakistan’s Oil and Gas sector. The study uniquely highlights how personal, organizational and environmental factors influence proenvironmental behavior.

With the pandemic reshaping healthcare delivery, telemedicine has emerged as a vital solution for overcoming access barriers, particularly in resource-constrained settings. Hence, this study explores the key drivers behind the sustained use of telemedicine services in low-income countries during the post-pandemic period.

Using a quantitative research approach and purposive sampling technique, 273 valid responses were gathered from participants in Bangladesh. A comparative analysis utilizing partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were conducted to ensure greater accuracy.

The PLS-SEM analysis revealed that expectation confirmation and perceived ease of use positively influence satisfaction. Similarly, perceived usefulness and perceived ease of use directly impact Attitude toward telemedicine services. However, perceived usefulness and perceived security were not significantly associated with satisfaction and attitude toward telemedicine services, respectively. The findings highlight that user satisfaction drives continuance use intention for telemedicine services, but only when it also cultivates a positive attitude toward telemedicine services. While the PLS-SEM findings indicate that perceived usefulness has no significant relationship with satisfaction and perceived security is not significantly associated with attitude toward telemedicine services, the fsQCA results offer a different perspective. fsQCA reveals that perceived usefulness retains a significant association with satisfaction and that perceived security, regardless of whether its effect is high or low, is equally effective in contributing to the intention for continuous telemedicine use. These findings underscore fsQCA’s ability to provide deeper insights into the complex causal relationships among the antecedents.

The findings provide valuable insights for hospitals, doctors and telemedicine providers on retaining existing users. Additionally, governments can leverage this information to address healthcare disparities between urban and rural areas. The study also identifies strategies to reduce costs and improve the efficiency of healthcare services.

This study advances telemedicine research by employing the extended technology continuance theory (ETCT) alongside a hybrid analytical approach that integrates PLS-SEM and fsQCA. It highlights that telemedicine organizations can boost patient confidence and encourage continued use by enhancing satisfaction and cultivating a positive user attitude. The innovative use of ETCT and the combined methodologies provide a comprehensive analysis, offering actionable strategies to retain telemedicine users in low-income countries during the post-pandemic period.

Extant research indicates that fear of missing out (FoMO) caused by the negative influence of media and word-of-mouth (WOM) leads to panic buying and generates a negative impact on consumer well-being. However, the mechanism that can minimise or abort this impact remains understudied. Therefore, in this study, we examine how consumer self-regulation functions as a brake mechanism to intervene with the negative influences of media and WOM on FoMO.

Data were collected from a representative sample in Australia. Hypotheses were tested by applying generalised structural equation modelling (GSEM), and analysis was conducted using the statistical software Stata 17.

Self-regulation is negatively influenced by media channels and WOM but is positively influenced by media content. Consumer self-regulation acts as a brake mechanism for FoMO. Panic buying, which is triggered by FoMO, has a significant impact on negative emotional well-being.

The limitations of the study are associated with the survey data collection.

We extend the knowledge of how self-regulation works as a brake mechanism for the complex FoMO construct consisting of a perception of missing out accompanied by irrational behaviours. Self-regulation emerges as a brake mechanism for FoMO. Hence, if self-regulation is practiced at the inception of the media and WOM exposure, it can counteract FoMO and potentially abort its’ impact on panic buying.

From a practical perspective, policymakers could help emotionally vulnerable individuals better engage in self-control practices through support programmes and workshops aimed at assisting the public in coping with overwhelming and intense adverse emotions experienced during and following various crises. Vulnerable cohorts, particularly the younger generation who are arguably more susceptible to FoMO, need to be studied more thoroughly in the marketing domain.

The role of self-regulation has been studied thinly in marketing literature, particularly in relation to offsetting irrational consumer behaviours. The originality of our study is that it extends and broadens the understanding of the role of self-regulation in the context of pandemics and addresses the inconclusive evidence of the impact of self-regulation on FoMO.

The purpose of this study is to investigate the causal recipes among training competencies (TC) dimensions and self-esteem in predicting employability skills (ES) perceptions. It also examines the different combinations across specific demographic characteristics and professions.

A survey was used to collect data from 225 youths aged 15–35 years, purposively selected from leadership training programmes in Brunei. A fuzzy-set qualitative comparative analysis (fsQCA) method was adopted to confirm the propositions.

The findings captured multiple combinations of TC dimensions (i.e. knowledge, skills, attitude and behaviour) and self-esteem in achieving high levels of perceived ES. The study also unveils how different levels of determinants can be more or less important for greater ES outcomes across youths' demographic characteristics and professions.

The findings will assist organisations and training providers of leadership programmes in understanding the significance of TC and self-esteem as well as its alternative routes in pursuing greater employability narratives.

This study was the first attempt to integrate ES into a configurational framework, offering a multifaceted perspective of the causal combinations of TC dimensions and self-esteem as their determinants. Taken together, the study is set within the principles of human capital theory and self-determination theory, confirming the crucial positions of TC and self-esteem in encouraging youth’s acquisition of ES, which is an increasingly pertinent, yet under-examined, area of research.

With the advent of metaverse, virtual influencers (VIs) are on the rise and so is their usage in advertisement of various products and services. This study aims to explore the domain of sustainable marketing and presents whether a VI can be more effective than their human counterparts (HIs) when it comes to environmental messaging. The study uses the concept of message frames to check which message frame and influencer type leads to more effective communication and ultimately sustainable purchase decisions.

A 2 × 2 experimental design was employed to check the effect of the type of influencer (HI vs VIs) on message effectiveness using positive and negative message frames which ultimately affect the purchase intentions of the followers. A combination of two-way ANOVA along with PLS-SEM was used to validate the hypothesized relationships.

The findings from the structural equation modelling revealed that HIs still continue to be better at communicating environmental messages than VIs. Further, in lines with the previous research this study highlighted the importance of negative message frames in enhancing the effectiveness of posts related to environmental causes. Additionally, the study revealed a positive association between message effectiveness, consequential awareness, environmental activism and sustainable purchase intentions.

Though there is an emergent interest in VIs, scant literature exists on how they encourage sustainable consumer behaviour. This study attempts to fill this gap by assessing the comparison between VIs and HIs in terms of promoting sustainable consumption. It is a novel effort in the crossover of sustainable marketing and influencer marketing.

This paper aims to examine the waste sorting practices of Lithuanian students and integrate the influence of green university initiatives (GUIs) and environmental self-identity (ESI) into the theoretical framework of the theory of planned behavior (TPB). Furthermore, it examines the potential impact of gender on waste-sorting behavior.

Data were collected from 255 Lithuanian students using a standardized questionnaire. Convergent and discriminant validity analyses were handled to ensure validity and reliability, and hypothetical relationships were evaluated using structural equation modeling.

This study confirms GUIs significantly encourage students’ ESI and positively influence their attitudes, subjective norms and perceived behavioral control in waste sorting. In addition, ESI also significantly affects attitude, subjective norms and perceived behavioral control. The study features gender differences, with female students showing stronger associations between GUIs and waste-sorting intentions, reflecting increased environmental awareness and social norms that encourage sustainable behavior. Although subjective norms did not significantly induce waste sorting intentions, the results highlight the essential role of ESI and GUIs in progressing university ecological practices.

This groundbreaking study combines GUIs, ESI and the TPB to examine students’ waste separation behavior. It fills the noticeable literature gap and provides new insights into how gender affects universities’ environmental practices. It suggests actionable strategies to promote sustainable campus cultures and gender-sensitive programs.

Digital platform work monitored by algorithms is increasingly supplementing or substituting standard employment. Though gig workers are faced with the vulnerable, fragile and precarious digital platform work environment, the reason why gig workers remain highly willing to show good task performance has been so far unexamined. Building upon the reciprocity of the social exchange theory, this study aims to explore the antecedents and boundary condition of facilitating gig workers’ task performance.

First, to minimize common method variance, decline spurious mood effects and ensure data robustness, we conducted a two-wave time-lagged survey and collected 269 survey responses from gig workers on different gig platforms in China (e.g. Meituan, Eleme, Didi, Credamo, Zaihang) at two time nodes. Second, abiding by two stage procedures of the PLS-SEM (partial least square structural equation model) approach, we analyzed a moderated mediation model in the digital platform work context.

Results present that both platform work remuneration and flexibility help gig platforms develop an affective trust relationship with gig workers, thus encouraging them to repay the platform by performing platform tasks well. Algorithmic monitoring shows a “double-edged sword” moderating role since it weakens the indirectly positive relationship between platform work remuneration and task performance via affective trust but enhances the indirectly positive relationship between platform work flexibility and task performance via affective trust.

Understanding the importance of remuneration and flexibility in developing affective trust can help platforms design effective human resource management (HRM) strategies that enhance worker motivation of maintaining high engagement and performance under precarious working conditions. Additionally, optimizing the “double-edged sword” moderating role of algorithmic monitoring makes it more humanized, enhancing the efficiency with these HRM strategies and making both workers and platforms beneficial.

These findings offer an affective trust-based explanation for the mechanism of maintaining high work performance motivation in the nonstandard and precarious employment from the social exchange perspective, while understanding the (de)humanized aspect of algorithmic monitoring by revealing its “double-edged sword” moderating role.