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The purpose of this study was to investigate the effectiveness of iCoaching during reading intervention. An interventionist received mentoring support to implement iCoaching. The goal of the study was to increase teacher-delivered, behavior-specific praise (BSP).

Using a single-case multiple-probe design across participants (Gast, 2010; Horner and Baer, 1978), iCoaching was implemented in a two-part package of (1) professional development (PD) and (2) live iCoaching sessions where three teachers received preemptive coaching comments to increase BSP delivery during reading intervention. Visual analysis identified changes in teacher behavior.

Findings demonstrated the iCoaching intervention package increased teacher knowledge and implementation of evidence-based practices (EBPs; i.e. BSP) during tiered reading intervention groups. Most student participants made gains in reading skills (accuracy, words per minute and composite score) across the areas measured.

Teacher absences, observation scheduling, an ongoing global pandemic, IEP meetings during intervention time, and other changes in the schedule were limitations of this study. The first set of earbuds lost the audio signal several times, and researchers lost the ability to hear the instruction occurring in the classroom; the earbuds were replaced by the first intervention phase.

Previous iCoaching literature demonstrates iCoaching provides implementation support for EBPs learned in PD. Peer coaching can have a positive impact on EBP implementation when iCoaching is non-evaluative, which supports teachers with EBP implementation with minimal disruption to teaching.

This manuscript extends iCoaching research (Randolph et al., 2020, 2021) from small group special education settings to general education intervention groups. Additionally, research shows iCoaching can be extended with mentoring.

This study aims to identify the factors influencing the adoption of extended reality (XR) applications in libraries for sustainable innovative services and reveal the challenges of adopting XR technology in libraries.

A systematic literature review was applied to address the study’s objectives. The 26 most relevant seminal studies published in peer-reviewed journals were selected to conduct the study.

The findings showed that access to digital collections, skill development, marketing, innovation and sustainable development factors influence the adoption of extended reality applications in libraries. The study illustrated that technical challenges, financial challenges, the unavailability of staff expertise and lack of institutional support caused barriers to the adoption of XR in libraries.

The study has added valuable literature to the existing body of knowledge. It has provided a framework to efficiently adopt extended reality in libraries for the delivery of sustainable, innovative services to library patrons.

The purpose of this article is to investigate factors related to the time students spent on remote activities during the coronavirus (COVID-19) pandemic in 2020. Specifically, it analyzes whether the school’s relationship with the family and the guardians’ support are associated with longer study times for children and youth.

This was performed using an ordered logit model on data from two waves of the survey Remote Education in the Perspective of Students and Their Families (PENP) with a nationally and regionally representative sample of Brazilian public school students.

Results show the importance of contact between the school and the family and, to a greater extent, the direct support of parents or guardians. The odds of learners spending more hours studying increase 36% when schools provide guidance for parents and guardians; in turn, when they provide support for students during activities, these odds increase 144%.

Moreover, students spend more time doing school activities in the later years of elementary school, high school and when they attend a state school.

Adopting digital transformation is changing the methods through which companies' function, generating novel possibilities and difficulties that force firms to adjust to remain competitive in the digital era. It is critical for firms to embrace this change and utilize technology to develop a more flexible, proactive and effective approach as digital transformation continues to advance at an accelerating pace. Vietnam has been placed at the forefront of these changes in attracting investments and becoming a hub of international trade. As a result, Vietnamese firms have been implementing restructuring and adopting digital transformation to remain competitive with the flow of foreign investment. This paper aims to examine the effects of digital transformation on corporate restructuring in Vietnam. The authors then investigate the moderating role of corporate governance in the digital transformation – corporate restructuring nexus.

The authors employ content analysis to extract information from the annual reports of 747 Vietnamese listed companies, where the authors focus on specific phrases, such as “digitalization”, “big data”, “cloud computing”, “blockchain” and “information technology” over a period of 11 years, from 2011 to 2021. The frequency count of these keywords is calculated to represent the level of digital transformation for the Vietnamese listed firms. A final sample of 118 Vietnamese listed firms with sufficient data is selected for the analysis using the generalized method of moments (GMM) approach.

The results indicate that digital transformation and corporate governance negatively impact corporate restructuring when their effect on corporate restructuring is examined independently. However, corporate governance strengthens the effect of digital transformation on corporate restructuring.

This paper is one of the first to investigate the moderating role of corporate governance on the effect of digital transformation on corporate restructuring in Vietnam. The findings inspire listed firms in Vietnam to implement digital transformation during their corporate restructuring to enhance performance.

The purpose of this study is to explore how past and future temporal focus of CEOs in the hospitality industry influence their intention to invest in metaverse technology and the underlying mechanism under boundary conditions of perceived competitive pressure.

This multi-informant study collected data over three waves from a sample of 235 CEOs and their subordinates in India’s hospitality industry. A PLS-SEM was applied to the study data. Further, the study also used phenomenological interviews to capture CEOs’ perspectives on the study’s conceptual model.

Findings suggest that the past temporal focus of CEOs decreases technology orientation, and future temporal focus increases the technology orientation of firms, consequently impacting the intention to invest in the metaverse. CEOs’ perceived competitive pressure moderates the mediating relationship, such that the negative impact of past temporal focus on technology orientation is decreased and that of future temporal focus on the CEO is increased.

By exploring the role of a CEO’s past and future temporal focus on influencing technology orientation and, hence, adoption of new technology, the study extends upper-echelon theory to the field of metaverse adoption in the hospitality industry and responds to scholars’ calls to explore the industry’s technology adoption from the lens of the upper echelon.

The study has significant implications for the success of the adoption of metaverse technology in the hospitality industry. Findings imply that the board members should encourage CEOs to have future temporal focus.

The study provides novel insights into the adoption of metaverse technology by the hospitality industry, where CEO attributes such as their temporal focus influence intention to invest in metaverse.

The purpose of this paper is to investigate perceptions of primary education (PE) teachers with respect to evaluation within the framework of Total Quality Management (TQM) and their readiness to engage in the process of quality improvement. Within this context, a relevant measurement instrument is developed and empirically validated.

The instrument developed herein included 30 items distributed across seven dimensions. It was disseminated among public PE units in Greece, yielding a substantial 2,088 responses. Several tests were performed, including principal component analysis, confirmatory factor analysis and structural equation modelling.

The findings supported the validity and reliability of the instrument, confirming that the proposed measures encapsulate actual dimensions that are most suitable for exploring evaluation perception and readiness in the context of TQM in PE. The study explored several correlations between the validated dimensions and independent variables such as gender, level of education, years of teaching experience and age. These analyses yielded additional valuable insights, enriching the depth of understanding provided by the present research.

The fields of TQM and PE lack empirical evidence. However, this study offers valuable insights into teachers’ perceptions of evaluation and broader quality improvement efforts. This can help school managers, policymakers and practitioners refine their implementation strategies for educational excellence.

To the best of the authors’ knowledge, this study is the first to focus on the examination of evaluation as a key aspect of TQM within the context of PE. Through the development and validation of a real-time measurement instrument, it bridges a significant research gap, providing practitioners and researchers with a vital tool to understand and improve educators’ evaluation perceptions, enabling targeted interventions for enhanced performance.

This paper investigates the relationship between sporting performance and the market value of European football clubs, with a particular focus on the moderating effect of player transfers, fan engagement and coaching changes.

Using a Cross-Sectional Augmented Auto Regressive Distributed Lagged Model (CS-ARDL), we analyze a decade of data (2013–2023) from fourteen prominent clubs across ten European leagues.

Our findings confirm a strong positive correlation between sporting performance and market value in European football clubs. Furthermore, the research reveals that strategic player transfers and high fan engagement significantly amplify the positive impact of on-field success on a club's valuation. Interestingly, coaching changes do not exhibit a significant moderating effect on this relationship.

These findings carry significant economic implications for the football industry, underscoring sporting success as not only a driver of economic growth and social development but also a vital source of funding for clubs seeking to further invest in talent, infrastructure and fan engagement initiatives.

This study makes a novel contribution to the existing literature by providing a comprehensive analysis of the intricate relationship between sporting performance, market value and the moderating roles of player transfers, fan engagement and coaching changes within the European football landscape. Moreover, the research offers unique insights into investor behavior and the factors influencing investment decisions, enriching our understanding of the complex dynamics driving the football market.

This study aims to comprehensively examine the relationship between initial public offering (IPO) activities and macroeconomic factors in Sri Lanka.

This study uses principal component analysis (PCA) and autoregressive distributed lag (ARDL) techniques to examine the relationship between IPO activities and macroeconomic factors. Ten macroeconomic variables are transformed into principal components (factors) using PCA. Then, ARDL is applied to investigate the long- and short-term relationships between IPO activities and the transformed macroeconomic factors.

The empirical investigation identifies three principal factors from the ten macroeconomic variables, of which two factors have a significant long-run association with IPO activities: “return on investment (RTOI)” and “economic and market development (ECMD).” In the short run, “trade openness and banking sector development (TOBD)” and RTOI are significantly associated with IPO activities.

The study was based on 30 years of observations, which passed all diagnostic tests but may be insufficient for generalizing the findings. Future studies could use high-frequency data (monthly or quarterly) to increase the number of observations and repeat the method and analysis. Also, while the symmetrical ARDL method was used in this study, an asymmetrical ARDL method may provide more insightful results and interpretations.

The study highlights the importance of considering both long- and short-term associations when analyzing the impact of macroeconomic variables on IPO activities.

This study is the first to comprehensively examine the relationship between IPO activities and macroeconomic variables using PCA and the ARDL technique. The study provides insight into the macroeconomic factors that influence IPO activities in Sri Lanka and highlights the importance of considering long- and short-term associations.

This study aims to critically analyze existing research on blockchain technology adoption, examining the dominant models and methodologies used, the primary domains where blockchain is applied and the emerging opportunities across various sectors.

Using a methodical systematic review approach, the authors meticulously examined a pool of 1,322 collected articles, subjecting 38 studies to rigorous assessment. Through this comprehensive analysis, the authors unveiled the key models and influential factors that intricately shape the trajectory of blockchain adoption.

The primary models identified for investigating blockchain adoption were the technology acceptance model and technology–organization–environment. Apart from the core variables within these models, the pivotal determinants influencing various blockchain applications include perceived trust, perceived cost and social influence. In addition, this study highlights supply chain management as a prominent domain for blockchain application adoption.

Understanding these influential factors and models can guide practical decisions and aid stakeholders in formulating effective strategies for blockchain adoption in diverse sectors.

This study contributes to advancing the understanding of blockchain adoption dynamics by unveiling the prevalent models and determinants shaping adoption. This study offers valuable insights into the factors influencing the use and adoption of blockchain technologies across diverse sectors.

In this paper, we aim to provide an extensive analysis to understand how various factors influence electricity prices in competitive markets, focusing on the day-ahead electricity market in Romania.

Our study period began in January 2019, before the COVID-19 pandemic, and continued for several months after the onset of the war in Ukraine. During this time, we also consider other challenges like reduced market competitiveness, droughts and water scarcity. Our initial dataset comprises diverse variables: prices of essential energy sources (like gas and oil), Danube River water levels (indicating hydrological conditions), economic indicators (such as inflation and interest rates), total energy consumption and production in Romania and a breakdown of energy generation by source (coal, gas, hydro, oil, nuclear and renewable energy sources) from various data sources. Additionally, we included carbon certificate prices and data on electricity import, export and other related variables. This dataset was collected via application programming interface (API) and web scraping, and then synchronized by date and hour.

We discover that the competitiveness significantly affected electricity prices in Romania. Furthermore, our study of electricity price trends and their determinants revealed indicators of economic health in 2019 and 2020. However, from 2021 onwards, signs of a potential economic crisis began to emerge, characterized by changes in the normal relationships between prices and quantities, among other factors. Thus, our analysis suggests that electricity prices could serve as a predictive index for economic crises. Overall, the Granger causality findings from 2019 to 2022 offer valuable insights into the factors driving energy market dynamics in Romania, highlighting the importance of economic policies, fuel costs and environmental regulations in shaping these dynamics.

We combine principal component analysis (PCA) to reduce the dataset’s dimensionality. Following this, we use continuous wavelet transform (CWT) to explore frequency-domain relationships between electricity price and quantity in the day-ahead market (DAM) and the components derived from PCA. Our research also delves into the competitiveness level in the DAM from January 2019 to August 2022, analyzing the Herfindahl-Hirschman index (HHI).