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This study scrutinizes the attitudes of postgraduate students specializing in education toward research at one University of Education in Myanmar.

Having collected data from 121 Master in Education (MEd) students in three education departments, the study validated Papanastasiou's (2014) Revised-Attitude toward Research (R-ATR) scale by performing confirmatory factor analysis (CFA). A one-way MANOVA was used to establish the significance of mean differences between groups and ANOVA was used for the same purpose among groups.

The R-ATR scale is fit with the sample (χ²/df = 1.60), and the students' attitudes toward research are favorable with mean value for research usefulness (5.98), positive research predispositions (5.55) and research anxiety (3.61), despite feeling stressed and anxious. There was a significant difference in the students' attitudes toward research regarding their departments, while no significant difference was found based on their research experience, gender and age.

There should be an effective mechanism in implementing the research course and in online delivery mode, collaboration between the faculties in the process of revision and review of the research courses, effective strategies of improving research instructors' quality and also internationalization to sustain students' positive attitudes toward research and to reduce their stress and anxiety.

This research is empirically novel, and the initiative attempts to first use the R-ATR scale in teacher education in Myanmar.

This study aims to provide a causal framework for teacher burnout (BO) and work engagement (WE) by examining the factors that contribute to it and evaluating how progressive education (PE) affects teachers' performance in Higher education institutions (HEIs).

This study uses a multi-stage sampling technique with the help of computer random generation data from a selected list of teachers. The survey has two sections; the first consisted of a questionnaire of PE, BO, WE and organizational outcomes and the second contained four items to measure the demographic variables. The researcher contacted 745 teachers and asked them to fill up the questionnaire but the authors received only 498 useable responses.

The results of the study confirmed that moderating role PE reduces the BO of the teachers of HEIs and increases WE. The job demand-resource (JD-R) model was also validated in the Indian context and the model was found suitable for the Indian sample.

The study has been conducted to manage BO and teachers' engagement in HEIs and the result suggests that the Management of HEIs should value PE characteristics as a crucial component of the educational process. PE encourages academic engagement among professors and students in HEIs.

The study tests the moderating role of PE with the JD-R and the JD-R model in the higher education system in India, which is rarely tested. The study's integrated approach to BO and WE, which provide insight into both viewpoints and aids in employees' poor health.

During crises, notably the recent COVID-19 pandemic, a heightened sense of urgency has manifested as a catalyst for improvement within organizations. The present study aims to explore the influence of a sense of urgency on individual kaizen performance. Additionally, the study delves into the potential moderating roles of organizational culture in this relationship.

Data samples include 481 employees who are working at Japanese manufacturing companies. SPSS software is used for data analysis, comprising measurement test, correlation and regression analysis.

A sense of urgency was found to predict a higher number of accepted suggestions. Moreover, there is a significant and positive interaction effect of adhocracy culture and a sense of urgency on writing and submitting ideas.

As an initial study that empirically tests the relationship between a sense of urgency and individual kaizen performance, this paper contributes to the literature on kaizen, change management and innovation. It also corroborates previous research on the Person-Organization fit framework.

This study aims to examine the eHealth literacy level among online health consumers (OHC) in Jordan and identified variables predicting their eHealth literacy level as well.

A quantitative study was conducted to achieve the study objectives. A purposeful sample of 262 OHC completed an electronic version of the eHealth literacy scale (eHEALS). eHEALS is the most cited scale in the literature, which includes eight items (measured on a 5-point Likert scale, ranging from strongly disagree to strongly agree).

Results showed that OHC in Jordan had a moderate level of overall eHealth literacy. Specifically, the eHEALS formed two conceptually sound factors. Gender, occupation, perceived usefulness and perceived importance of the internet, and more frequent online health information seeking were significant positive predictors of overall eHealth literacy and/or its two identified dimensions.

This study represents a humble contribution to the field. Several recommendations were suggested to maintain and improve eHealth literacy among OHC in Jordan.

The internet has changed the landscape of health information. There is an increase in the provision and availability of health information to all users. OHC should be skillful in locating, using and evaluating online health information. Although many researchers have increasingly studied the concept of eHealth literacy among various groups in the past decade, little research has been devoted to focus on eHealth literacy among OHC, particularly in Jordan.

This study aims to understand the impact of underlying theme in the communication on social media on funding received by early-stage start-ups.

The study is based on empirical testing of data of 849 start-ups and more than 130K tweets. Machine learning (ML) model has been used for text classification of 130K+ tweets. Causal mediation analysis with bootstrapping is carried out for hypothesis testing.

Tweets addressing quality-related uncertainty are a predictor of amount of funds raised. Audience response acts as a mediator between tweets focusing on relational orientation and amount of funds raised.

The authors advance signaling theory by theorizing and investigating the importance of signal content. Endogenous signal of quality directly influences the start-ups outcomes, while exogenous signal helps disseminate information and influence the success.

Entrepreneurs should put in concerted effort to reduce uncertainty about the start-ups. Value creation is a central concept for start-ups; however, communicating value should be the dominant part of social media strategy.

Computer-based language processing techniques have amplified the research focused on content. To the best of the authors’ knowledge, this is the first comprehensive study that explores underlying themes of communication of start-ups and their impact on acquiring funds.

Virtual reality (VR) can be used as an alternative mean for viewing collections at home when it is not possible to visit museums due to COVID-19. This study took the development process of VR at Taiwan's National Palace Museum (NPM) as a case to discuss the characteristics of VR developed there in different periods and how NPM transforms the contents of its collections into VR.

This study used a case study to analyze the development process of VR at NPM from 2014 to 2019 and summarized the characteristics of the development and application of VR.

The authors find that the history of VR application in NPM is a process from exploring the technology to gradually getting familiar with the potential of its application. Its development can be divided into the exploration and experiment stage from 2014 to 2015, the single collection interpretation stage in 2016 and the multipurpose application stage from 2017 to 2019. It is suggested that museums should adopt a long-term strategy to introduce VR, make plans carefully and pay attention to the limitations of VR application.

The results of this study are suitable for art and history museums.

Many research studies on the application of VR in museums mostly focused on the benefits and technologies of adopting VR in museums as well as specific museum VR projects. There is still scant literature on the development process of museum VR from the perspective of museum organizations.

This study explored teachers' perceptions of a specific, collaborative peer observation structure, collegial visits, and collegial visits' connection to collective teacher efficacy (CTE). The research question was: how do teachers perceive collegial visits, particularly with respect to their influence on CTE?

Within this qualitative descriptive study, 13 K-12 educators from three northeastern USA schools (one urban high school and a suburban middle and elementary school) were interviewed individually and/or in a focus group.

Utilizing social cognitive theory as a framework for analysis, the authors found a theme of a shift from uninformed to informed perceptions of the collective. Results demonstrated that collegial visits foster positive CTE beliefs.

Since collegial visits were found to increase participants' CTE, a construct others have associated with increased student achievement, school leaders should consider implementing collegial visits as a professional learning structure in their schools after considering their specific context.

Though there has been recent scholarship connecting peer observations and CTE, there has been no research, to date, to examine the effect of the specific structure of collegial visits on CTE.

Climate change reports from New Zealand claim that climate change will impact some cities such as Auckland from a heating-dominated to a cooling-dominated climate. The benefits and risks of climate change on buildings' thermal performance are still unknown. This paper examines the impacts of climate change on the energy performance of residential buildings in New Zealand and provides insight into changes in trends in energy consumption by quantifying the impacts of climate change.

The present paper used a downscaling method to generate weather data for three locations in New Zealand: Auckland, Wellington and Christchurch. The weather data sets were applied to the energy simulation of a residential case study as a reference building using a validated building energy analysis tool (EnergyPlus).

The result indicated that in Wellington and Christchurch, heating would be the major thermal load of residential buildings, while in Auckland, the main thermal load will change from heating to cooling in future years. The revised R-values for the building code will affect the pattern of dominant heating and cooling demands in buildings in Auckland in the future, while in Wellington and Christchurch, the heating load will be higher than the cooling load.

The findings of this study gave a broader insight into the risks and opportunities of climate change for the thermal performance of buildings. The results established the significance of considering climate change in energy performance analysis to inform the appropriate building codes for the design of residential buildings to avoid future costly changes to buildings.

Positive experiences with working from home (WFH) during the Corona pandemic (COVID-19) have motivated many employees to continue WFH after the pandemic. However, factors influencing employees' WFH intentions against the backdrop of experiences during pandemic-induced enforced working from home (EWFH) are heterogeneous. This study investigates factors linked to information technology (IT) professionals' WFH intentions.

This mixed-methods study with 92 IT professionals examines the effects of seven predictors for IT professionals' WFH intentions. The predictors are categorized according to the trichotomy of (1) characteristics of the worker, (2) characteristics of the workspace and (3) the work context. Structural equation modeling is used to analyze the quantitative survey data. In addition, IT professionals' responses to six open questions in which they reflect on past experiences and envision future work are examined.

Quantitative results suggest that characteristics of the worker, such as segmentation preference, are influencing WFH intentions stronger than characteristics of the workspace or the work context. Furthermore, perceived productivity during EWFH and gender significantly predict WFH intentions. Contextualizing these quantitative insights, the qualitative data provides a rich yet heterogeneous list of factors why IT professionals prefer (not) to work from home.

Reasons influencing WFH intentions vary due to individual preferences and constraints. Therefore, a differentiated organizational approach is recommended for designing future work arrangements. In addition, the findings suggest that team contracts to formalize working patterns, e.g. to agree on the needed number of physical meetings, can be helpful levers to reduce the complexity of future work that is most likely a mix of WFH and office arrangements.

This study extends literature reflecting on COVID-19-induced changes, specifically the emerging debate about why employees want to continue WFH. It is crucial for researchers and practitioners to understand which factors influence IT professionals' WFH intentions and how they impact the design and implementation of future hybrid work arrangements.

Many studies have analysed the impact of various variables on the ability of companies to raise capital. While most of these studies are sector-agnostic, literature on the effects of macroeconomic variables on sectors that established over the last 20 years like property technology and financial technology, is scarce. This study aims to identify macroeconomic factors that influence the ability of both sectors and is extended by real estate variables.

The impact of macroeconomic and real estate related factors is analysed using multiple linear regression and quantile regression. The sample covers 338 observations for PropTech and 595 for FinTech across 18 European countries and 5 deal types between 2000–2001 with each observation representing the capital invested per year for each deal type and country.

Besides confirming a significant impact of macroeconomic variables on the amount of capital invested, this study finds that additionally the real estate transaction volume positively impacts PropTech while the real estate yield-bond-gap negatively impacts FinTech.

For PropTech and FinTech companies and their investors it is critical to understand the dynamic with mac-ro variables and also the real estate industry. The direct connection identified in this paper is critical for a holistic understanding of the effects of measurable real estate variables on capital investments into both sectors.

The analysis fills the gap in the literature between variables affecting investment into firms and effects of the real estate industry on the investment activity into PropTech and FinTech.