درخت حوزه‌های تخصصی

The present study, adopting a sequential mixed-methods design, chiefly aimed to determine the strongest predictors of EFL learners’ involvement in the components of motivational self-regulatory strategies (MSRSs). In so doing, 154 English-major university students joined in the quantitative phase, and a pool of seven students was selected to participate in the qualitative phase of the study. A number of validated instruments were utilized to gather the relevant data. The Pearson moment-to-moment correlation, SEM, multiple regression, and a semi-structured interview method were used to analyze the data. The results showed a positive relationship between the components of MSRSs and involvement in writing skills. Among MSRSs components, performance self-talk, mastery self-talk, and environmental control made significant contributions to the prediction of involvement in writing skills. More specifically, the strongest predictor of involvement in writing skills in MSRSs components was performance self-talk. Following the inter-coder reliability, the responses elicited from the interviews regarding EFL learners’ opinions about the role of MSRSs in increasing their involvement in writing skills delineated eight themes, including quiet talk, consistent working, interest, coping with distractions, class environment, motivating peers, regulating emotions, and teachers’ help. In the end, the interplay between MSRSs components and involvement factors was discussed and several practical implications were proposed.

The present study argues the relationship between the media’s power and the reconstruction of subjectivity in Zubaida’s Window, a novel by Iqbal Al-Qazwini. It is a description of the tortured psyche of the exiled woman and her attempts to reconstruct her displaced subjectivity among different versions of media’s Baudrillardian simulacra and to distinguish reality from unreality. Media’s depictions of death and war’s destruction can generate xenophobia among natives who may blame immigrants for their social problems and disturbing spatial harmony. Qazwini re-emphasizes that xenophobia can destroy an immigrant’s self-perception and trigger the preference for death. Moreover, the hyperreal versions of truth and ignoring the subaltern’s voice and revelation affect an immigrant’s mentality negatively and persuade her/him to prefer loneliness and death to have social interactions. This article focuses on the significance of media in the reconstruction of subjectivity, intensification of anti-immigration views, and the dark sides of modern war based on the interrelated theories of David Miller and Derek Gregory. Considering the issues of compulsory displacement and territoriality, Miller focuses on the ethical/political dimensions, while Gregory examines the causes of armed conflicts and geopolitical factors. By applying such an interdisciplinary approach, the researchers investigate Zubaida’s mental downfall, her failure in the reconstruction of subjectivity, and her inability to reconcile different self-images. This article examines her ceaseless effort to reverse the colonial power of media by adhering to her homeland’s memories, or watching her country’s news through TV’s representation, or ignoring spatial interactions, and lack of interest in self-renovation.

This study critically examines the sustainability challenges within the lithium-ion battery (LIB) supply chain in India's electric vehicle (EV) sector, an area of growing importance due to the rapid expansion of EV adoption. While LIBs are essential for EVs due to their high energy density and reliability, their production and disposal pose significant environmental, social, and economic sustainability challenges. These include resource depletion, environmental degradation, ethical concerns in raw material sourcing, and inefficient recycling processes. This study adopts a qualitative case study approach, focusing on three leading Indian automotive companies, to explore these challenges in depth. Data were collected through semi-structured interviews with key stakeholders involved in various stages of the LIB supply chain, including production, waste management, and recycling. Key findings reveal that the primary environmental challenge is the lack of advanced green technologies for recycling and disposal, leading to high water and energy consumption, as well as hazardous waste emissions. Social challenges include unsafe labor practices, particularly in raw material extraction, and a shortage of skilled labor in battery recycling operations. On the economic front, the reliance on imported raw materials, coupled with high production and recycling costs, undermines the sector’s sustainability and profitability. The research contributes to the literature by providing a comprehensive understanding of the environmental, social, and economic dimensions of sustainability in the LIB supply chain. It also offers practical insights for stakeholders and policymakers aiming to foster a greener and more sustainable EV sector in India.  

With the advancement of communication technology, e-hailing services are becoming more widespread in Malaysia. Even though e-hailing services offer relative advantages compared to other types of public transport, research on the service quality aspects and customer satisfaction is essential to ensure customers receive worthwhile service with the money they spend on the services. Therefore, the growth of the e-hailing sector in Malaysia has drawn attention from the government, service providers, passengers, and even academics to the issues of service quality and customer satisfaction. Much research on service quality has been conducted in Malaysia; however, limited research has yet to be done on e-hailing services specifically for the state of Sarawak (East Malaysia) compared to peninsular areas. Thus, this research aims to measure the service quality performance of e-hailing in Sarawak and investigate the factors influencing passenger satisfaction. Three hundred ninety-two e-hailing users voluntarily participated in the survey, which was conducted in 2023. The partial least squares structural equation modeling (PLS-SEM) was performed to assess the measurement and structural model. The analysis revealed that vehicle condition, customer service, and reliability have a significant one-percent relationship with passenger satisfaction. To ensure e-hailing vehicles are always in good condition, e-hailing companies and government agencies must make it mandatory for e-hailing cars to be maintained periodically. Next, the driver should improve communication skills and show a good attitude to provide excellent customer service. Besides, prompt response to customer orders is a must to ensure e-hailing services are reliable public transportation.

The world of digital marketing has been fast advancing in recent times. Marketers have developed various practices to attract consumers to their products and services. Online shopping applications have introduced different methods to encourage consumer impulse buying. However, past literature has overlooked the 7C framework, despite its introduction during the early stages of e-commerce development. Thus, this study aims to examine the dimensions of digital marketing and the mediating role of emotions on impulse buying behavior in e-commerce shopping platforms. This study used the Stimulus-Organism-Response (SOR) framework as the underpinning theory for developing the proposed framework. The 7Cs framework, serving as the stimulus (S), includes content, context, commerce, customization, connection, communication, and community. Emotions represent the organism (O), while impulse buying behavior is the response (R). A survey was conducted to collect data from 331 shoppers from two major online platforms in Malaysia. Exploratory Factor Analysis was performed and revealed six dimensions of digital marketing. Furthermore, it was found that emotions partially mediate the relationship of (a) context, (b) connection, and (c) commerce on impulse buying behavior. Emotions fully mediate the relationship between (a) communication and (b) customization on impulse buying behavior. This study enhances the understanding of the 7C framework, which is underexplored in the context of e-commerce. The 7C framework can be used to assess not only website design but also the design of e-commerce shopping platforms.

Exploring L2 affective variables requires innovative research analytic approaches that can adequately address the complexity and dynamicity of the variables. Not always can the normality of distribution and linearity of relationships be assumed. Neither can the homogeneity of variance be always met. Latent profile analysis (LPA) is suggested to deal with the heterogeneity of data and non-linear relationships. It allows for hypothesis testing and model testing to tackle the ergodicity issue in second language acquisition (SLA) research from a person-centered approach. LPA, which primarily serves to classify a population or sample into several sub-groups, can be effectively employed in SLA research to classify L2 teachers or learners in terms of the different positive and negative emotions (e.g., enjoyment, boredom, anxiety, etc.) they experience while learning a foreign or second language. A classroom-based L2 learning experience occurs interactively with several personal and contextual variables involved. The relationship between any single affective variable can hardly be conceived as linear. Thus, LPA holds promises for dealing with these non-linear relations and provides insightful information about the profiles of learners or teachers concerning a particular affective variable. The purpose of this conceptual analysis is to provide a review of the basic tenets of LPA and to explain how it can contribute to the exploration of emotional variables in SLA. By identifying distinct emotional profiles, the study offers guidance on tailoring instructional strategies to address the specific emotional needs of language learners, thereby enhancing the effectiveness of language acquisition interventions.

This study aims to analyze the factors associated with motivation and attitude towards English learning through the application of structural equation modeling (SEM). A quantitative, ex post fact, cross-sectional and explanatory study was carried out on 1202 university students. Eight motivational factors were examined, namely: Motivational Intensity (MI), Attitude towards Learning English (ATLL), Integrative Orientation (IntO), Instrumental Orientation (InsO), Interest Towards Foreign Languages (ITFL), Evaluation of English Teaching (EET), Desire to Learn English (DLE), Evaluation of the English Course (EEC). The multiple regressions showed that EET, DLE, InsO, and EEC are predictors of the MI. It was found that DLE, InsO, and EEC are predictors of ATLL. The SEM showed a weak positive influence of InsO on DLE, ITFL, EET, EEC, MI and ATLL. IntO had a weak positive impact on DLE, EET, EEC, and ITFL. There was a weak positive impact of DLE on ITFL, ATLL and MI, and it had a strong effect on EEC. Finally, EET had a weak positive effect on MI, whereas EEC had a weak positive impact on ATTL and MI. This research provided information that serves to understand the factors affecting the intensity of motivation and attitude in L2 learning