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The authors are developing a model for rural science teacher professional development, building teacher expertise and collaboration and creating high-quality science lessons: technology-mediated lesson study (TMLS).

TMLS provided the means for geographically distributed teachers to collaborate, develop, implement and improve lessons. TMLS uses technology to capture lesson implementation and collaborate on lesson iterations.

This paper describes the seven steps of the TMLS process with examples, showing how teachers develop their content and pedagogical knowledge while building relationships.

The TMLS approach provides an innovative option for teachers to collaborate across distances and form strong, lasting relationships with others.

Human capital flight from developing countries to developed nations has been rising and giving concerns to governments and scholars alike. This paper aims to explore the impact migration from Nigeria has on economic output growth by focusing on the migration rate, remittances, population growth and secondary school enrolment. This has not received adequate attention in the literature, as many papers have primarily focused on the impact of remittances on economic growth.

Leveraging on the macro-level approach to migration, remittances and the economy, this research considers the nexus among the human capital flight and output growth variables by using the autoregressive distributed lag (ARDL) method of analysis for time series data between 1986 and 2018.

The net migration rate from Nigeria was found from the empirical analysis to be more disadvantageous for the economy, given its negative relationship with economic growth despite the large volume of foreign incomes (remittances). It also shows that secondary school enrolment positively and significantly impacted the Nigerian growth rate in the long run.

This research has widened the use of variables by combining net migration rate, remittances from abroad, population growth rate and secondary school enrolment to obtain a more robust outcome with implications for research and practice.

Loneliness is known to adversely impact employee health, performance and affective commitment. This study involves a quantitative cross-sectional analysis of online survey data reported by adults employed in the United States (n = 5,927) to explore how loneliness and other related factors may influence avoidable absenteeism and turnover intention.

Worker loneliness was assessed using the UCLA Loneliness Scale (Version 3). Composite variables were constructed as proxy measures of worker job and personal resources. Structural equation modeling (SEM) was used to examine independent variable effects on dependent outcomes of (a) work days missed in the last month due to stress (stress-related absenteeism) and (b) likelihood to quit within the next year (turnover intention).

The job resources of social companionship, work-life balance and satisfaction with communication had significant negative relationships to loneliness in the SEM, as did the personal resources of resilience and less perceived alienation. Results further show lonely workers have significantly greater stress-related absenteeism (p = 0.000) and higher turnover intention ratings (p = 0.000) compared to workers who are not lonely. Respondent demographics (age, race and gender) and other occupational characteristics also produced significant outcomes.

Study findings underscore the importance of proactively addressing loneliness among workers and facilitating job and personal resource development as an employee engagement and retention strategy.

Loneliness substantially contributes to worker job withdrawal and has negative implications for organizational effectiveness and costs.

The purpose of the research is to analyze the factors that determine the intention of small- and medium-sized enterprises (SMEs) to adopt the Metaverse. For this purpose, the analysis of the effort expectancy and performance expectancy of the constructs in relation to business satisfaction is proposed.

The analysis was performed on a sample of 182 Spanish SMEs in the technology sector, using a PLS-SEM approach for development. For the confirmation of the model and its results, an analysis with PLSpredict was performed, obtaining a high predictive capacity of the model.

After the analysis of the model proposed in this research, it is recorded that the valuation of the effort to be made and the possible performance expected by the companies does not directly determine the intention to use immersive technology in their strategic behavior. Instead, the results obtained indicate that business satisfaction will involve obtaining information, reducing uncertainty and analyzing the competition necessary for approaching this new virtual environment.

The study represents one of the first approaches to the intention of business behavior in the development of performance strategies within Metaverse systems. So far, the literature has approached immersive systems from perspectives close to consumer behavior, but the study of strategic business behavior has been left aside due to the high degree of experimentalism of this field of study and its scientific approach. The present study aims to contribute to the knowledge of the factors involved in the intention to use the Metaverse by SMEs interested in this field.

This paper aims to present the findings of a government-initiated project that sought to explore the possibility of incorporating cultural connections to land within the federal national accounting system using the United Nations Systems of Environmental-Economic Accounting (UN-SEEA) framework as a basis.

Adopting a critical dialogic approach and responding to the calls for critical accountants to engage with stakeholders, the authors worked with two Indigenous groups of Australia to develop a system of accounts that incorporates their cultural connections to “Country”. The two groups were clans from the Mungguy Country in the Kakadu region of Northern Territory and the Ewamian Aboriginal Corporation of Northern Queensland. Conducting two-day workshops on separate occasions with both groups, the authors attempted to meld the Indigenous worldviews with the worldviews embodied within national accounting systems and the UN-SEEA framework.

The models developed highlight significant differences between the ontological foundations of Indigenous and Western-worldviews and the authors reflect on the tensions created between these competing worldviews. The authors also offer pragmatic solutions that could be implemented by the Indigenous Traditional Owners and the government in terms of developing such an accounting system that incorporates connections to Country.

The paper contributes to providing a contemporary case study of engagement with Indigenous peoples in the co-development of a system of accounting for and by Indigenous peoples; it also contributes to the ongoing debate on bridging the divide between critique and praxis; and finally, the paper delves into an area that is largely unexplored within accounting research which is national accounting.

Economic literature highlights both positive and negative impact of FDI on economic growth. The purpose of this study is to confirm the relationship between various economic factors and FDI equity inflows and find out deviations, if any. This is investigated using standard time-series econometric models. The long and short run relationship is inquired with respect to market size, inflation rate, level of infrastructure, domestic investment and openness to trade. The choice of variables for Indian economy is purely based on empirical observations obtained from scientific literature review.

The study involves application of autoregressive distributive lag (ARDL) model to investigate the relationship. The long run co-integration between FDI and economic growth is tested by Pesaran ARDL model. The stationarity of data is tested by augmented Dickey Fuller test and Phillip–Perron unit root test. Error correction model is applied to study the short run relationship using Johansen’s vector error correction model method besides other tests.

The results show that the domestic investment, inflation rate, level of infrastructure and trade openness influence inward FDI flows. These factors have both long and short-term relationship with FDI inflows. However, market size is insignificant in influencing the foreign investments inflows. There lies an inverse relation between FDI and inflation rate.

To the best of the authors’ knowledge, the study is original. The methodology and interpretation of results are distinct and different from other similar studies.

This paper aims to investigate the effect of supplier relationship management (SRM) on the business performance of small-scale grapes processing firms in Dodoma, Tanzania. The paper also examines the moderating role of logistics capabilities in the relationship between SRM and business performance.

This research uses a cross-sectional survey design. A structured questionnaire was used to collect data from 202 small-scale grape processing firms. The data were analysed through descriptive and structural equation modelling.

The findings revealed that buyer-supplier relationships, supplier development and supplier selection were positively and significantly related to business performance. Furthermore, knowledge transfer had no relationship with business performance. On the other hand, the findings showed that logistics capabilities significantly moderated the relationship between SRM and business performance.

The study was cross-sectional, conducted only in Tanzania, and focussed entirely on small-scale firms processing grapes as raw materials. Thus, generalising the study findings to other countries with different conditions should be done cautiously. Also, this study used subjective measures, and other studies could use objective measures.

The study helps firm managers understand the importance of supplier relationship management on business performance. The findings also can be used by policymakers to create targeted policies and initiatives that support the firm’s growth and sustainability.

To the best of the researchers’ knowledge, this is the first attempt to find empirical support for the moderating role of logistics capability in supplier relationship management and the business performance of small-scale grapes processing firms in the Tanzanian context.

This paper aims to address the long-standing problem of suboptimal student team experiences for instructors and students by incorporating the student voice by co-creating a virtual team collaborative environment to improve team collaboration in the online classroom.

This paper presents a novel design science research approach and relates two elaborated action design science research (eADSR) cycles that design, implement and evaluate the student team experience in online courses requiring teamwork.

The outcome is a holistic view of a virtual team classroom environment specified with technologies and practices that may be employed to optimize the student team experience. The eADSR process yields non-obvious diagnoses and actionable steps for continually incorporating the ever-changing social aspects unique to students in addition to the evolving technological landscape.

This paper is valuable to faculty members interested in applying eADSR processes to incorporate the student voice to address pedagogical and learning challenges in the classroom. Additionally, it provides a DSR-based model that can be implemented in the classroom to improve student team collaboration as well as transparency for the instructor and the students in terms of team member contributions with the goal to alleviate student and faculty frustrations. This topic is particularly relevant in light of COVID-19 as students and faculty alike are thrust into new online classroom environments.

Employing eADSR in the classroom is a novel and unique approach to create a replicable model for virtual team collaboration that can be added to the classroom.

This study is a pre-COVID-19 exposition of the existing situation about external debt-GDP relationship, incorporating corruption into the hypothesis, making South Africa the object of the study. The aim is to examine the causal relationship between corruption, economic growth and external debt, and in the end proffer solutions to the problems arising therefrom.

The study employed ARDL technique on time series data running from 1990 to 2019 with real gross domestic product as the dependent variable and external debt, external debt servicing, corruption, inflation and capital formation as regressors. Necessary tests that include unit root, cointegration, CUSUM and CUSUMSq, normality, serial correlation and heteroscedasticity were performed on the model.

The study shows that corruption, inflation and external debt servicing exert negative influences on economic growth while the effect of investment on growth was positive. External debt's effect in the short run was positive while its long-run effect on growth was negative. Among other things, the need to improve and strengthen public institutions in addition to targeting tax evaders and avoiders for increased government revenue were emphasized.

The study incorporates corruption into the country specific debt-GDP debate as against earlier studies that excluded corruption in their time series analysis or that were cross-country based. The authors also exposit the existing knowledge of the debt-GDP hypothesis before the outbreak of COVID 19 pandemic. This is expected to serve as a precursor to subsequent studies on the rising debt of South Africa during and after the pandemic.