Search

Previous research has documented that students' reading comprehension performance in learning English as a foreign language (EFL) differs greatly between mobile-assisted and paper-based reading. The present study extends previous work by investigating whether reading cognitive load differs between mobile-assisted and paper-based EFL reading processes and exploring whether cognitive load mediates the relationship between reading medium and EFL reading comprehension performance. The instruments used are reading comprehension tests and questionnaire surveys administered to a sample of 191 first-year college students. A repeated-measures analysis of variance (ANOVA) indicates that cognitive load is significantly greater for mobile-assisted EFL reading than for paper-based EFL reading. In addition, structural equation modeling analyses indicate that cognitive load fully mediates the relationships between medium and reading comprehension performance; these mediation effects are independent of the level of English language proficiency. These results imply that cognitive load is a pivotal factor influencing students' reading comprehension across media. Reasons for differences in reading cognitive load and its role as a mediator are discussed. Recommendations for promoting students' reading experience on mobile phones are provided. [ABSTRACT FROM AUTHOR]

This study investigated the effect of an electronic boycott of foreign products on the purchasing rate of Jordanian consumers for products from Beirut Lights company for hygienic paper manufacturing. This study collected data from 310 consumers purchasing products from Beirut Lights Company for Hygienic Paper Manufacturing using questionnaires. This study employed the Partial Least Square Structural Equation Modelling (PLS-SEM) approach and analysed the data. The results revealed that electronic boycotts (consumer animosity, consumer ethnocentrism, consumer efficacy, and product judgment) have significant and positive effects on purchasing rates. The results revealed that a 1% increase in Consumer Animosity would lead to an 18.5% increase in Purchasing Rate. Additionally, the results demonstrated that Purchasing Rate would increase by 15.2 percent with a 1% increase in Consumer Efficacy. Also, the results revealed that a 1% increase in Consumer Ethnocentrism would lead to a 23.5% increase in Purchasing Rate. Similarly, the results revealed that a 1% increase in Product Judgement would lead to a 44.1% increase in Purchasing Rate. For Western multinational corporations focused on expanding their foothold in the world's biggest consumer market, this study's conclusions have crucial consequences for decision-makers and management. The suppressed and intense emotion of hostility, which is a remnant of past hostilities, needs much more attention from the Beirut lights firm, which manufactures hygiene paper in Jordan. In other hostile market scenarios, the conclusions of this examination may be applicable to a strategic study of the boycott model. [ABSTRACT FROM AUTHOR]

Construction projects play a vital role in the global economy. However, the construction industry still lags in the adoption of digital technologies which have the potential to alleviate inefficiencies. There is also a lack of construction professionals with skills to implement digital technologies, and the industry is plagued by inadequate research and development (R&D) and low productivity. This paper applies the Digital Transformation Readiness Level Index in Building Construction (DTRLIIBC) to investigate digital transformation in the construction industry, and specifically in the construction phase, by identifying technologies, alternatives, policy incentives to ensure best practices, and infrastructure needed to smoothly implement digital technologies. A survey was distributed to executive managers, department managers, project managers, senior engineers, and supervisors in the construction industry. Interviews were also conducted with 13 experts with more than 20 years of experience, using the Delphi method to ensure the validity and reliability of the factors identified as significant based on their experience and perspectives. This study thus assessed potential factors related to digital transformation, along with identifying factors enabling the use of the DTRLIIBC itself. Structural Equation Modeling (SEM) was employed to identify causal relationships among the variables while minimizing measurement errors, as SEM was considered a multiple regression analysis to improve the efficiency of the model. To ascertain the model's robustness and stability, a comprehensive evaluation was conducted that included tests for multivariate normality conformance, validity and reliability assessments, and accuracy evaluations to improve overall performance in the construction industry. The benefit of implementing SEM is its ability to provide a clear decision-making alternative as well as a potential vision for construction industry firms to improve efficiency and productivity in construction projects. [ABSTRACT FROM AUTHOR]

This paper analyses the digital ecosystem (DES), entrepreneurial ecosystem (EES) and economic development (ED) indicators as key determinants of digital technology entrepreneurship (DTE) across the globe. The correlation matrix depicts an important relationship between DTE, DES, EES and ED. Further, the partial least squares structural equation modelling (PLS‐SEM) results show that DES and EES have a favourable and significant influence on the establishment of digital technology entrepreneurship (DTE) globally. However, the ED, though, has a positive and significant impact on EES and DES, not directly impacting DTE. The study is useful to various stakeholders such as entrepreneurs, funding agencies, policymakers and researchers in their decision‐making process. [ABSTRACT FROM AUTHOR]

[Display omitted] • Animal-derived biochar enhanced the synthesis of acid-insoluble nitrogen (AIN). • Plant-derived biochar promoted the accumulation of bioavailable organic N (BON). • Animal-derived and plant-derived biochar reduced N loss by 24.40% and 35.50%. • Two biochars have different effects on bacterial community and metabolism. • Both AIN formation and BON retention were effective strategies for reducing N loss. This work aimed to reveal the differences of nitrogen (N) transformation between animal-derived and plant-derived biochar during paper mill sludge composting. Three treatments were established, including CK (no biochar), ABC (animal-derived biochar), and PBC (plant-derived biochar). Results showed that N loss was reduced by 24.43% and 35.50% in ABC and PBC, respectively, compared with CK. Moreover, the contents of acid-insoluble N (AIN) in ABC and bioavailable organic N (BON) in PBC were 6.180 g/kg and 9.269 g/kg higher than in CK (2.602 g/kg and 8.988 g/kg). The protease activity and bacterial abundance associated with the generation of humic N-containing precursors increased in ABC. Low urease activity and a more complex bacterial N-cycling network were found in PBC. Structural equation model confirmed that AIN formation and BON retention were the dominant strategies for animal-derived and plant-derived biochar, respectively. The findings provided multiple pathways to produce N-enriched compost products. [ABSTRACT FROM AUTHOR]