Understanding Academic Fraud: The Role of Dark Triad Personality and Situational Factor

Academic fraud is a perennial problem, and the Covid-19 pandemic has exacerbated it with most universities moving to online learning. We conducted a survey with 259 students from three universities about their perceptions of academic fraud in online learning. This article examines whether individual factors drawing from the dark triad of personality and three situational factors: academic integrity culture, academic fraud ambiguity, and pressure, influence the intention to engage in academic fraud. Using partial least square-structural equation modeling, the results show that academic integrity culture, pressure, and the dark triad of personality significantly affect students' intention to engage in academic fraud. The implication of such findings is discussed. [ FROM AUTHOR] Copyright of Journal of Criminal Justice Education is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Enhancing supply chain resilience in SMEs: the role of business and political ties

PurposeThe COVID-19 pandemic outbreak has created disruptions across the supply chain that are beyond the resources of small and medium-sized enterprises (SMEs) to effectively deal with. This study aims to examine the idea that top managers' business and political ties can play direct roles in enhancing SCR in SMEs during COVID-19 by providing access to valuable resources. The study further investigates integrative capability as an underlying mechanism through which the effects of business and political ties can be transformed into enhanced SCR.Design/methodology/approachResponses from 217 SMEs in the country of Jordan were received via an online survey. The measurement and structural models were tested using the partial least squares structural equation modelling (PLS-SEM) technique.FindingsThe study found that business and political ties are positively related to SCR. However, integrative capability fully mediates the relationship between business ties and SCR, whereas it partially mediates the relationship between political ties and SCR.Research limitations/implicationsThe study examined only the direct and indirect impacts of business and political ties on SCR. It could be extended by exploring the conditions under which they influence SCR.Originality/valueThe study explicates the role of top managers' business and political ties on improving SCR in a developing country context. It further examines the mediating role of integrative capability in the relationships between business and political ties and SCR.

Classification of Respiratory Syncytial Virus and Sendai Virus Using Portable Near-Infrared Spectroscopy and Chemometrics

There is evidence that it may be possible to detect viruses and viral infection optically using techniques such as Raman and infrared (IR) spectroscopy and hence open the possibility of rapid identification of infected patients. However, high-resolution Raman and IR spectroscopy instruments are laboratory-based and require skilled operators. The use of low-cost portable or field-deployable instruments employing similar optical approaches would be highly advantageous. In this work, we use chemometrics applied to low-resolution near-IR (NIR) reflectance/absorbance spectra to investigate the potential for simple low-cost virus detection suitable for widespread societal deployment. We present the combination of near-IR spectroscopy (NIRS) and chemometrics to distinguish two respiratory viruses, respiratory syncytial virus (RSV), the principal cause of severe lower respiratory tract infections in infants worldwide, and Sendai virus (SeV), a prototypic paramyxovirus. Using a low-cost and portable spectrometer, three sets of RSV and SeV spectra, dispersed in phosphate-buffered saline (PBS) medium or Dulbecco's modified eagle medium (DMEM), were collected in long- and short-term experiments. The spectra were preprocessed and analyzed by partial least-squares discriminant analysis (PLS-DA) for virus type and concentration classification. Moreover, the virus type/concentration separability was visualized in a low-dimensional space through data projection. The highest virus-type classification accuracy obtained in PBS and DMEM is 85.8% and 99.7%, respectively. The results demonstrate the feasibility of using portable NIR spectroscopy as a valuable tool for rapid, on- site, and low-cost virus prescreening for RSV and SeV with the further possibility of extending this to other respiratory viruses such as SARS-CoV-2.

Investigating the Relationship between Users' Behavioral Intentions and Learning Effects of VR System for Sustainable Tourism Development

Macao is a tourist city. It is home to the Ruins of Saint Paul's, a unique 100-year-old landmark, which is still standing with manual maintenance, even after three fires and reconstruction events. Therefore, the continuous preservation of its culture, heritage education, and construction are important issues for Macao. With the development of digital technology in recent years, users can quickly search historical sites and save two-dimensional and three-dimensional images and videos through smartphones. These methods also enhance the communication power of culture. Virtual browsing on a smartphone requires computing power and storage space;yet, virtual reality devices are not widely used. Therefore, augmented reality and virtual reality are rarely used simultaneously for three-dimensional interactive guided tours and operation experiences on the same theme. However, by quickly creating virtual reality scenarios and preserving historical sites on mobile devices, 4DAGE's 4DKanKan technology can provide augmented reality and metaverse virtual reality experiences. 4DKanKan can also integrate mobile guides and navigation software to connect mobile devices and assist in cultural inheritance and conduct sustainable education. This research linked this technology to the web by incorporating augmented reality and virtual reality technology to make designs and discussed the influences among service design, behavioral intentions, and learning effects. We collated and analyzed relevant data and text materials through systematic testing, observation, operation processes, and semi-structured interviews. The PLS multigroup structural model was used to explore and analyze the degree of influence and explanatory power of system quality, information quality, behavioral intention, and learning effects among themselves. The results of this study show that most users accepted the proposed innovative mode of operation and found it to be interesting and fun. Augmented reality is not limited by space or time;however, virtual reality devices taking too long to operate, switching too frequently, and having too many functional interfaces can cause operational problems. This study identified and modified the influencing factors and problems of the proposed system, with the aim of continuing to expand the applications of 4DKanKan to other cultural attractions or museums in the future. In addition, the research results can provide a reference for the sustainable development of related cultural sites.

Smile to pay: predicting continuous usage intention toward contactless payment services in the post-COVID-19 era

PurposeFinancial technology (FinTech) is undergoing a transformation as a result of robotics and artificial intelligence. FinTech service providers are embracing contactless technology, including the development and widespread adoption of innovative payment service. Among the many types of contactless payment services, facial recognition payment (FRP) has gained in popularity. To capitalize on this rising popularity, comprehending the mechanisms underlying continuous usage intention toward FRP is essential. Drawing from the stimulus–organism–response (S-O-R) model, this study investigates how FRP attributes facilitate continuous usage intention.Design/methodology/approachIn total, 321 Chinese FRP users completed an online survey. Partial least squares structural equation modeling analyzed the results of the survey.FindingsThe results reveal that relative advantage and compatibility, user-interface attractiveness and perceived security (stimuli) promote performance expectancy, effort expectancy and positive emotion (organism), which in turn foster FRP continuous usage intention (response).Originality/valueThis research presents an S-O-R model that incorporates several attributes from DOI theory, the UTAUT model and the AIDUA framework to elucidate the antecedents of consumers' continuous usage intention toward FRP. The findings corroborate the significance of the S-O-R mechanism in FRP, setting the groundwork for the acceptance and development of biometric authentication technologies in service contacts and banks. In addition, the study highlights opportunities and essential aspects for FinTech service developers and providers to consider in terms of their practical significance.

Determining the Factors that Affect Resistance to Digital News Subscription During the COVID-19 Pandemic

The subscription of digital services has increased due to the COVID-19 pandemic. However, this was not the same for digital news subscription which remained low. Therefore, this study looks to study the factors that influence the resistance to digital news subscription during the COVID-19 pandemic. In order to achieve this, the Innovation Resistance Theory was applied. Data was collected through an online survey that yielded 199 responses. Based on the results of the data analysis, two out of the five barriers were revealed to have insignificant relationships with resistance. With that said, value barrier, risk barrier, and image barrier were established as significant facilitators of resistance. Several insights were then proposed to news media companies. Moreover, this study fills the theoretical gap of comprehending the antecedents of resistance on digital news during the COVID-19 pandemic. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Statistical characterization of managerial risk factors: a case of state-run hospitals in India

Public healthcare institutions are the crucial component in the social and economic development of a nation, particularly India. However, public hospitals in India confront multiple operational risk factors that compromise patient satisfaction. Although all the risk factors are essentially critical, the impact potential of any risk factor is ultimately determined by its ability to induce other risk factors. The current research derives motivation from these scenarios and investigates the characteristics of crucial operational risk factors experienced in the public healthcare sector in a South Indian state. Extensive questionnaire-based surveys were conducted among civilians and healthcare professionals in two phases, i.e., prior to the COVID-19 crisis and during the COVID-19 crisis, for identifying significant risk factors. The collected data is analysed using statistical techniques like exploratory factor analysis (EFA) and partial least squares based structural equation modelling (PLS-SEM) to characterise the inter-relationships between risk factors. The research discloses the translational effect of administrative/infrastructure constraints in public hospitals in compromising the operational performance indirectly through human-related issues rather than having a direct influence. More precisely, the presented model indicates that risk factors like the physical infrastructure limitations and shortage of staff will overburden the existing employees, resulting in human-related issues, including attitudinal issues of employees and community mistrusts and misbelieves. The results reveal seemingly resolvable budget allocation issues, but at the same time alarms the authorities to execute immediate countermeasures. Ultimately, this research seeks to empower public hospital administrators with interesting insights and managerial implications drawn from the statistical models. © 2023, The Author(s), under exclusive licence to Operational Research Society of India.

COVID-19 and sustainable environment: understanding higher education students' willingness to pay more for food delivery containers

Purpose: The Coronavirus disease 2019 (COVID-19) pandemic has increased the use of food delivery containers in the food and beverage industry. Based on the theory of planned behavior (TPB), the aim of this paper is twofold: Firstly, it examines the influence of three elements of TPB (attitude, perceived behavioral control and subjective norm) and time pressure on the intention to reuse reusable food delivery containers (ITR). Secondly, it examines ITR as an antecedent to the willingness to pay more for reusable food delivery containers (WTPM). Design/methodology/approach: Data were collected from 401 higher education institution (HEI) students and analyzed using partial least squares structural equation modelling (PLS-SEM). Findings: The study found that the three elements of TPB influenced ITR. Furthermore, the results revealed that ITR directly influenced WTPM. Surprisingly, time pressure did not influence ITR. Originality/value: The research is one of the earliest studies to investigate HEI students' intention to reuse food delivery containers during the COVID-19 pandemic. The study contributes to TPB by presenting a novel, integrated model to explain the independent roles of time pressure and ITR on ITR and WTPM, respectively. Finally, it contributes to the existing body of knowledge on pro-environmental behavior among HEI students and advances methodologically by establishing the PLS-SEM approach. © 2023, Emerald Publishing Limited.

Top management commitment in greening supply chain operations: post-COVID-19 perspectives from an emerging economy

Purpose: The novel COVID-19 supply chain disruption has globally altered the environmental needs of society. Against this backdrop, this paper aims to examine how top managers are environmentally committed to integrating green supply chain management (GSCM) practices in the operational performance of small- and medium-scale enterprises (SMEs) in Ghana, within the post-pandemic economy. Design/methodology/approach: The study used a cross-sectional survey to obtain data from 270 SMEs in Ghana, using partial least squares (PLS) structural equation modelling to test seven hypothesized relationships. Findings: The outcome of the analysis revealed that top management environmental commitment has a significantly positive effect on supply chain operational performance. The structural model also revealed that top management environmental commitment has a positive and significant effect on both internal and external GSCM practices. The results further revealed that both internal and external GSCM practices have positive and significant effects on supply chain operational performance. Finally, both internal and external GSCM practices mediate the path between top management environmental commitment and supply chain operational performance. Research limitations/implications: The study provides a novel framework which contributes to both theoretical studies and managerial decisions on COVID-19 related supply chain management issues. However, the study was limited to the Ghanaian context, thus, further related studies are required in other contexts. Originality/value: This study provides a novel framework by elucidating the intervening role of GSCM practices in the path between top management environmental commitment and supply chain operations in an emerging post-pandemic world context. © 2023, Emerald Publishing Limited.

Urban tourist profiles during the pandemic in Taiwan: A multigroup analysis.

Participating in tourism activities in crowded areas such as cities during the COVID-19 pandemic represents a risk. This study examined the demographic and psychological features of Taiwanese domestic urban tourists during the pandemic in 2021. The theoretical framework was based on push-pull motivation, self-concordance, and push-pull-mooring theories. The 680 valid questionnaire responses indicated that the respondents were generally interested in domestic urban tourism despite the pandemic threat. Moreover, 187 respondents regarded themselves as urban tourism seekers. Their demographic features were consistent with the typical primary urban tourism market profile: they were young, highly educated, and employed in skilled occupations. In terms of psychological features, the push factors, representing the individuals' intrinsic urban tourism motivations, were more potent than the pull factors, representing a city's tourism opportunities, as motivational drivers for increasing seekers' urban tourism intention during the pandemic. The methodology and findings of this study strengthen the literature on urban tourism and pandemic recovery.

Transforming construction health and safety management during COVID-19 pandemic using innovative technologies: PLS-SEM approach

Purpose: This study aims to investigate technology-based health and safety (H&S) management to control the spread of disease on construction sites using a partial least squares structural equation modelling (PLS-SEM) approach. Design/methodology/approach: An extensive literature review is conducted to develop a conceptual framework. The variables identified from the literature review are included in a cross-sectional survey which gathered a total of 203 valid feedback. The variables for challenges are grouped under their relevant construct using exploratory factor analysis. Then, a hypothesized model is developed for PLS-SEM analysis using Smart PLS software. Later, the outcome of the model is further validated by nine construction experts using a semi-structured questionnaire survey. Findings: The results rationalized the relationships between the COVID-19 H&S measures, challenges in implementing COVID-19 H&S measures on construction sites and the innovative technologies in transforming construction H&S management during the COVID-19 pandemic. The possible challenges that obstruct the implementation of H&S measures are highlighted. The potential technologies which can significantly transform H&S management by reducing the impact of challenges are presented. Practical implications: The findings benefited the industry practitioners who are suffering disruption in construction operations due to the pneumonic plague. Originality/value: By developing a conceptual model, this study reveals the contribution of technology-based H&S management for construction projects during the COVID-19 pandemic, which remains under-studied, especially in the context of the developing world. © 2022, Emerald Publishing Limited.

Coupling of NIR Spectroscopy and Chemometrics for the Quantification of Dexamethasone in Pharmaceutical Formulations.

Counterfeit or substandard drugs are pharmaceutical formulations in which the active pharmaceutical ingredients (APIs) have been replaced or ingredients do not comply with the drug leaflet. With the outbreak of the COVID-19 pandemic, fraud associated with the preparation of substandard or counterfeit drugs is expected to grow, undermining health systems already weakened by the state of emergency. Analytical chemistry plays a key role in tackling this problem, and in implementing strategies that permit the recognition of uncompliant drugs. In light of this, the present work represents a feasibility study for the development of a NIR-based tool for the quantification of dexamethasone in mixtures of excipients (starch and lactose). Two different regression strategies were tested. The first, based on the coupling of NIR spectra and Partial Least Squares (PLS) provided good results (root mean square error in prediction (RMSEP) of 720 mg/kg), but the most accurate was the second, a strategy exploiting sequential preprocessing through orthogonalization (SPORT), which led (on the external set of mixtures) to an R2pred of 0.9044, and an RMSEP of 450 mg/kg. Eventually, Variable Importance in Projection (VIP) was applied to interpret the obtained results and determine which spectral regions contribute most to the SPORT model.

Personal Learning Environments: Modeling Students' Self-Regulation Enhancement through a Learning Management System Platform

A personal learning environment (PLE) is known as a crucial support for educators who lead learners through the process of collection, creation, and organization of personalized learning tools. In this manner, the learner can interpret a variety of new tools in their own interest, which makes the learning process easier. The PLE approach represents a considerable movement away from traditional learning, where learners are considered consumers of information through isolated channels, particularly learning management systems (LMSs), to a model where learners draw significant connections from numerous resources that they choose. Thus, educational settings have implemented LMSs fully into their respective learning contexts. In this sense, LMS is identified as a learning platform that helps learners and educators submit assignments, share ideas, and communicate through web-based systems with numerous benefits. Under these circumstances, self-regulation is addressed as a significant component that explains how learners build and manage PLEs and come up with more choices;they take ownership of their own learning and enhance self-regulated learning (SRL) practices. On this occasion, there is a belief that teachers can utilize LMSs to shift from passive to active learning and to improve self-reflection (SR). Therefore, considering all the above issues, the current study examines integrating a third-generation LMS to enhance learners’SR. This study considered PLEs by utilizing Zimmerman’s SRL model to investigate the integration of the third-generation LMS. SR is applied in this study in the form of a pretest and posttest following the involvement of the PLE course, which was designed and applied during the COVID-19 pandemic. Finally, the experimental findings of the current study formulated a model of SR factors in PLEs through the LMS platform with partial least squares structural equation modeling (SEM) before and after the intervention. Author

Factors Influencing the decision to Utilize eTax Systems during the CoVId-19 Pandemic: The Moderating Role of Anxiety of CoVId-19 Infection

This study examines the usage of eTax systems using the unified theory of acceptance and use of technology (UTAUT) as a theoretical base. A quantitative methodology using partial least squares-structural equation modelling (PLS-SEM) was used to test the study model against data collected from 209 taxpayers who completed the research questionnaire. The outcomes of this study manifest necessary theoretical extension of the UTAUT model and practical contributions during the pandemic of COVID-19. The findings of this study reveal that the behavioral intention to use eTax systems is highly influenced by performance expectancy, effort expectancy, social influence, social isolation, and anxiety about technology. Similarly, the behavioral intention of eTax systems and anxiety of COVID-19 infection demonstrate a substantial association with the actual usage of eTax systems. Interestingly, the study's findings also show that the anxiety of COVID-19 infection moderates the association bounded by usage intention and actual use of eTax systems. Copyright © 2022, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

Moderating role of compassion in the link between fear of Coronavirus disease and mental health among undergraduate students.

Background: The societal challenges presented by fear related to the coronavirus disease (COVID-19) pandemic may present unique challenges for an individual's mental health. However, the moderating role of compassion in the relationship between fear of COVID-19 and mental health has not been well-studied. The present study aimed to explore the association between fear of COVID-19 and mental health, as well as test the buffering role of compassion in this relationship. Methods: The participants in this study were 325 Iranian undergraduate students (228 females), aged 18-25 years, who completed questionnaires posted on social networks via a web-based platform. Results: The results showed that fear of COVID-19 was positively related with physical symptoms, social function, depressive symptoms, and anxiety symptoms. The results also showed that compassion was negatively associated with physical symptoms, social function, depressive symptoms, and anxiety symptoms. The interaction-moderation analysis revealed that compassion moderated the relationship between fear of COVID-19 and subscale of mental health. Conclusion: Results highlight the important role of compassion in diminishing the effect of fear of COVID-19 on the mental health (physical symptoms, social function, depressive symptoms, and anxiety symptoms) of undergraduate students.

Smart working as an organisational process or as a social change? An Italian pandemic experience

Purpose: Along the coronavirus pandemic, huge business challenges are facing as a result of collapsing customer demand and organisational significant changes supported by digital development, while the increasing social and environmental needs involve business and individuals. The authors argue that this trend is modifying organisational and market logic, replacing them with values and practices linked to community-based models. The present work aims to study the impact that smart working (SW) has on the worker, seen both as a member of the organisation and the social community. Design/methodology/approach: The study data were collected from a computer-assisted web interview administered in 2020 to public employees working for health agencies across the Campania region, in South Italy. To test the conceptual model, partial least squares-structural equation modelling is used. Considering the abductive soul of the research, the study represents a pilot survey that will deliver stochastic results to be subsequently replicated in all Italian health agencies. Findings: The results of the research highlighted how the evolutionary dynamics of SW employees tend towards a reconceptualisation of workspaces, a redefinition of time and emotions and a better balance between work and personal life, thus creating a greater space for social and community aspects and determining a greater involvement in their working life. Originality/value: This research introduces a new win-win logic in the labour market, one capable of generating advantages for people, organisations and the entire social system by allowing workers to better reconcile working times with their personal needs and with flexibility demands coming from companies. © 2023, Emerald Publishing Limited.

Understanding donation intention in live-streaming from dedication and constraint perspectives

The pervasiveness of live-streaming, especially in the period of Covid-19, has brought ample monetizing opportunities for content creators through viewers' donation. Given that donation is commonly driven by the gained benefits to the donors, voluntary donation in live-streaming is still unstable due to the lack of constraints. Drawing on the dedication-constraint framework, we examined how streamer-viewer interactions, motivational feedback and self-regulation deficiency affect viewers' donation intention in live-streaming. A survey was conducted among live-streaming users in Taiwan, and the collected data were analyzed by partial least squares. The findings show that the motivational feedback (dedication-based mechanism) has a stronger influence than self-regulation deficiency (constraint-based mechanism) in determining viewers' donation intention. Responsiveness is proven as the most important interaction-based antecedent of motivation feedback and self-regulation deficiency, beside personalization and entertainment. In sum, our empirical findings have significant implications for research and practice to deepen the understanding of donation, encourage viewers to donate and maintain the relationship with content creators in live-streaming communities. © 2022 International Consortium for Electronic Business. All rights reserved.

Impact of fake news on firm performance during COVID-19: an assessment of moderated serial mediation using PLS-SEM

PurposeFake news on social media about COVID-19 pandemic and its associated issues (e.g. lockdown) caused public panic that lead to supply chain (SC) disruptions, which eventually affect firm performance. The purpose of this study is to understand how social media fake news effects firm performance, and how to mitigate such effects.Design/methodology/approachGrounded on dynamic capability view (DCV), this study suggests that social media fake news effects firm performance via SC disruption (SCD) and SC resilience (SCR). Moreover, the relation between SCD and SCR is contingent upon SC learning (SCL) - a moderated mediation effect. To validate this complex model, the authors suggest effectiveness of using partial least squares structural equation modeling (PLS-SEM). Using an online survey, the results support the authors' hypotheses.FindingsThe results suggest that social media fake news does not affect firm performance directly. However, the authors' serial mediation test confirms that SCD and SCR sequentially mediate the relationship between social media fake news and firm performance. In addition, a moderated serial mediation test confirms that a higher level of SCL strengthens the SCD-SCR relationship.Research limitations/implicationsThis work offers a new theoretical and managerial perspective to understand the effect of fake news on firm performance, in the context of crises, e.g. COVID-19. In addition, this study offers the advancement of PLS as more robust for real-world applications and more advantageous when models are complex.Originality/valuePrior studies in the SC and marketing domain suggest different effects of social media fake news on consumer behavior (e.g. panic buying) and SCD, respectively. This current study is a unique effort that investigates the ultimate effect of fake news on firm performance with complex causal relationships via SCD, SCR and SCL.

Cyberbullying perpetration during the Covid-19 pandemic: A study on the relationship between strain, angerand parental support

The pandemic compelled more exposure to online media in different forms like online education, interactions, gaming, and collaboration, which aggravated the cyberbullying issue. Cyberbullying can now occur in several different mediums due to the renewed lifestyle challenges spawned by the pandemic. Hence, it is imperative to assess the antecedents of cyberbullying behaviour (CBB). General Strain Theory (GST) is taken as a grounded theory to understand the underlying mechanisms of strain and anger and their impact on deviant outcomes like CBB. The current study adds to the GST literature by investigating the association between stress and anger, leading to cyberbullying behaviour. The study also examines the extent to which parenting factors (monitoring, communication, and trust) moderate adolescents' involvement in cyberbullying. An online survey was used to collect data from 221 high school Indian students for this purpose. As per the results, there is a direct relationship between strain, anger, and cyberbullying. The study confirms an indirect relationship between strain and cyberbullying through anger. The findings suggest that parental influences are important in moderating the relationship between strain and anger in adolescent cyberbullying behaviour. The study recommends strategies for parents, educators, and healthcare providers when dealing with cyberbullying behaviour.

Information and communication technology (ICT) skills and job satisfaction of primary education teachers in the context of Covid-19. Theoretical model

The Covid-19 pandemic has shown that educational systems must have an online component or even a substitute. However, the efforts for this necessary transition fall largely on the teaching staff, who have been forced to quickly adapt their activities to a virtual environment. In this study, a theoretical model for analyzing how teachers' information and communications technology (ICT) skills and the integration of these technologies influence the improvement of teaching and teacher job satisfaction is introduced. The model also pays special attention to the gender gap related to the use of ICT in teaching. At the empirical level, the model is validated on a sample of 257 Spanish primary school teachers, using the partial least squares (PLS) structural equation method. The results of the analysis show that, although the teachers' ICT skills help them improve their teaching activities, such skills do not have a direct impact on teachers' job satisfaction. However, teachers who integrate ICTs into their teaching activities not only improve their results and lighten their wor-kload but also enjoy higher job satisfaction, which translates into more motivated and committed teachers. In addition, teachers' ICT skills influence job satisfaction in different ways depending on gender. Although, for female teachers, the integration of ICT increases their job satisfaction, the results show that, for male teachers, this integration should gene-rate improvements in teaching to yield enhanced job satisfaction. As the main implication, it is recommended to invest in teachers' ICT skills, as these lead to enhanced efficiency and motivation and enable the change toward an ICT-based teaching model. © 2022, El Profesional de la Informacion. All rights reserved.