Sustaining Well-Being of Teachers in Higher Education

Given the growing burnout of teachers during the pandemic, it is necessary to recommend that higher education institutions apply careful planning in developing teacher well-being programs. Therefore, the main objective of this paper is to investigate the well-being of teachers in higher education to reveal the well-being tendencies. Sustaining and developing teacher well-being programs represents a high priority for higher education institutions. This paper first conducted a systematic literature review to identify and critically appraise available secondary data. Second, a short survey was conducted to explain teachers' responses to identified psychological factors from the systematic literature review. Moreover, the authors interviewed several teachers to collect more evidence. Lastly, the authors synthesized all information to present conclusions and recommendations. The findings of this paper illustrated significant factors in relation to the well-being of teachers and revealed the well-being tendencies. Moreover, it outlined a foundation for further research to investigate sustaining teachers' well-being. This paper is the introductory paper of the research, which has been in progress for the last two years. The current paper offers much-needed evidence to the researchers and not only to enhance or propose or even create one universal model for teachers' well-being. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Applying Clustering and Association Rules on attracting tourists to the South Central Area post Covid-19 pandemic in Vietnam

Covid-19 has caused a plummet in the number of tourists visiting to the South Central of Vietnam and driven changes in their traveling behaviors. This has formed challenging barriers over the operations of entities in the tourism industry. The purpose of this paper is supporting the tourism organizations to attract domestic and foreign visitors to the South Central of Vietnam post the pandemic. The research uses the secondary data collected by Vitours company - a leading travel agency in South Central - to demonstrate tourists' demands when visiting destinations in the area between September 2020 and April 2021. Data mining, clustering and association rules techniques are also applied to classify traveler's segmentations and analyze the connections among these groups. The findings of this research indicates 4 clusters of tourists and 6 association rules, which contributes to the stimulus of the tourism industry in South Central after Covid-19. © 2022 ACM.

Primary and Secondary Data Collection to Conduct Researches, Write Thesis and Dissertation Amidst COVID-19 Pandemic: A Guidepost

Research has always been regarded by many as tedious because of the difficulties and challenges associated with doing research such as having to forego certain habits like social life. Doing research became even more difficult, especially with regard to limitation on collecting applicable primary and secondary data due to the COVID-19 pandemic lockdowns. It is to be noted that substantive, thorough, sophisticated literature review and intensive pertinent primary data availability are ncessary for doing quality research relevant to the status quo. Various novel approaches have been adopted by scholars through their diverse academic spheres in conducting internationally acceptable research amidst the COVID-19 pandemic. This research aims to come up with a guidepost to facilitate researchers and other stakeholders with fundamental knowledge and skills in conducting substantive, thorough, sophisticated researches that are of international standards. A comparative and diagnostic analysis method is used for analyzing existing literature and policies developed by higher education institutions and schools for doing research in the advent of the COVID-19 pandemic. The output allowed authors to develop a guidepost with rules on using limited primary and extensive secondary data in doing research. The guidepost consists of various sections explaining on how to do research and write theses and dissertations. These sections include among others research title, statement of the problem, research objectives, theoretical and conceptual frameworks, review of related literature, research methodology, analysis and interpretation of data, and conclusion and recommendations. The guidepost is very significant in doing researches and aids researchers in conducting internationally accepted researches with limited primary data and extensive secondary data in the advent of the COVID-19 Pandemic. The guidepost is flexible and can easily be used by local and international institutions’ researchers through little modification in context of their research fields. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

The Internet of Things and Its Aspect for Digital Marketing During COVID-19 Pandemic

This paper is prepared to identify the influence of the Internet of things and its aspects in digital marketing during the COVID-19 pandemic. The research examines the various aspects of digital marketing before and after the pandemic. The paper also evaluates the tools of IoT for digital marketing. The COVID-19 pandemic has inevitably resulted in digital technologies due to social distancing customs and nationwide lockdowns. It has been found that the COVID-19 outbreak has had an impact on marketing in general and digital marketing in particular. IoT and digital technologies have become essential enablers of connectivity, allowing people to maintain their everyday lives while connecting in digital ways to which they have never been connected before. In this research, the investigator uses secondary data to obtain reliable results. This research methodology employs a descriptive qualitative approach to analyze diverse digital marketing and IoT. In addition, this study proposes a more straightforward method for predicting customer tastes and preferences on digital platforms. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Comparison of Indonesian and India Government Vaccination Policy Campaigns via Twitter Social Media

The covid-19 pandemic that attacks the whole world cannot be separated from Indonesia and India, there are many cases of covid in these two countries, this must be anticipated in terms of giving vaccines, of course Indonesia and India must have quite difficult challenges in the vaccination program, this requires a Policy Campaign Vaccination via Twitter Social Media, This study aims to analyze and determine the use of Twitter social media as a medium for the Indonesian and Indian Government Policy Campaigns in providing information to optimize vaccination strategies in relation to the start of the campaign, vaccination coverage, vaccination schedule, vaccination rate, and vaccine efficiency in Indonesia. each country. The research method combines qualitative analysis with secondary data collected from the Indonesian government’s social media accounts used are @kemenkesri and @bnpb_indonesia while the Indian government twitter accounts are @mohfw_india and @pib_india. To visualize the data analysis, Nvivo12 plus software was used, specifically the Twitter Sociogram data collection tool. Based on these findings, the Indonesian and Indian governments were successful in their Vaccination Policy Campaign through Twitter Social Media. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Social Network Analysis: How Twitter Social Media Used in Raising Tax Awareness During the COVID-19 Pandemic

This study analyzes how Twitter social media affects the invitation to pay taxpayers through Social Network Analysis. Taxes have an essential role in the country’s development so that the income from the tax sector can help increase state revenues. This research method uses qualitative analysis with the type of data obtained by this study using secondary data sourced from Twitter social media with the hashtag #PajakKitaUntukKita and official government documents related to the results of the APBN and Taxpayer reports in the 2020–2021 period. Data analysis visualization was carried out with the help of Nvivo 12 Plus software, especially the Twitter Sociogram dataset tool and Netlytics, to identify research variables. The results of the analysis show that;1) Dissemination of information carried out by the Directorate General of Taxes is very intensive, dominantly carried out by the Twitter social media account @DitjenPajakRI;2) The results of the information response to #PajakKitaUntukKita which is shown by the dominant users’ responses to government agencies, while the private sector and the community have a low response rate 3) The hashtag #PajakKitaUntukkita as a Campaign in increasing taxpayer awareness carried out by the Directorate General of Taxes has not run optimally in providing a significant influence on taxpayer awareness but is quite good at providing information and education related to taxes. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Post Covid-19 Sentiment Analysis of Success of Online Learning: A Case Study of India

Over the years, e-learning has seen a boost with the advancement in technology. The very pertinent problem of Covid-19 led to the adoption of online education in India. This study aims to understand the online education in India in terms of benefits, challenges, and strategies using sentiment analysis and the positive and negative instances faced by Indian students and teachers during the pandemic time. Responses from students and teachers have been garnered during the pandemic Covid-19 as the primary source of data. The nature of the research conducted is exploratory and qualitative. Further, a comparative analysis has been undertaken using data visualization. Primary data has been collected using questionnaire and interview methods while secondary data through Twitter. The data pertains to the sentiments of undergraduate and management graduate college students and teachers from February 2020 to January 2022. The secondary data corpus collected from Twitter (5000 tweets) was scraped using Application Program Interfaces (APIs) for further analysis. The Findings suggest that most of the opinions in the primary data collected have been negative while the secondary data analysis shows that polarity is more on neutral sentiments and subjectivity is more on positive sentiments. Relevant recommendations have been made on the conclusion drawn. © 2022 Bharati Vidyapeeth, New Delhi.

Using secondary data in research on social sustainability in construction project management: a transition from “interview society” to “project-as-practice”

Purpose: Access to unbiased self-reported (primary) data for a normative concept like social sustainability has been a challenge for construction project management (CPM) scholars, and this difficulty has been further amplified by the ongoing COVID-19 pandemic. This paper aims to address this issue by asserting the suitability of secondary data as a methodologically sound but underutilized alternative and providing directions for secondary data-based research on social sustainability in a project setting. Design/methodology/approach: By drawing on a framework for social sustainability and using “project-as-practice” approach as its point of departure, this conceptual paper identifies possibilities for utilizing multiple secondary sources in CPM research. Findings: The paper provides a roadmap for identification of secondary sources, access to data, potential research designs and methods, limitations of and cautions in using secondary sources, and points to many novel lines of empirical enquiries to stimulate secondary data-based research on social sustainability in CPM. Social implications: Indicated secondary sources and empirical opportunities can support research efforts that aim to promote societal welfare through construction projects. Originality/value: The presented guidance will assist researchers in identifying, accessing and utilizing naturalistic, secondary data for designing and conducting empirical research that cuts across social sustainability and CPM. This, in turn, will facilitate methodological pluralism and “practice turn” in such research endeavors. © 2022, Emerald Publishing Limited.

Corporate Governance and Corporate Philanthropy during COVID-19: Mediating role of Knowledge Management

This study examines the role of corporate governance and corporate philanthropy during COVID-19, with the mediating role of corporate social responsibility (CSR) knowledge management among Chinese listed firms. The study employed secondary data obtained from the Chinese Stock Market & Accounting Research (CSMAR) database on board size (BS) and board composition (BC) as corporate governance proxies. The findings show that BS and BC have a positive but insignificant relationship with corporate philanthropy, while CSR knowledge fully mediates the relationship between corporate governance and corporate philanthropy. Additionally, we find that board size and board composition have a positive relationship with CSR knowledge. This study has practical implications for firms engaged in the process view of CSR knowledge, which actively contributes to COVID-19 philanthropy. The process view of CSR receives more information from outside stakeholders and implements their resources on the most recent CSR issue. This response creates value for the firm as it targets the most recent issue in society. © 2021 IEEE.

Changing Paradigms of Teaching Amid Covid-19: A SWOT Analysis of online Classes in Physical Education and Sports Sciences

Covid-19, the most devastating pandemics of human history, has adversely affected education fraternity. This unprecedented and sudden outbreak of pandemic has forced the education sector to go through complete makeover overnight. The objective of the present paper was to analysis the strengths, weaknesses, opportunities, and threats of online teaching of physical education and sports sciences during covid-19. Secondary data available online was utilized to complete the SWOT analysis. The findings of the study revealed that innovative audio-visual aids and tools employed by teachers, flexibility in timing and collaborative learning were recorded as strengths. However technical difficulties in term of usages of devices and software's, isolation and anxiety suffered by learner's were considered weaknesses. Lack of infrastructure and devices, network speed and connectivity, Digital illiteracy and divide and cost of technology were regarded as threats. Government initiative in this direction opened doors for many opportunities like creation of innovative program, tools, and technology. It was recommended that despite many strengths and opportunities a detailed and comprehensive online program and operational policy should be implemented by the government to nullify the grassroot problems. This work will help government, industry, and academia to prepare a better future road map for model online education. © 2021 IEEE.

Is Online Learning Method Better than Traditional Method in Customer Psychology Course Regarding Academic Results?

Thanks to the rapid advancement of technology, online learning is a part of many institutions' course offerings around the world. The transition from traditional method to online learning method has been occurring in every country in the world, especially in today's context where the pandemic of the COVID-19 is still affecting the world's education. In this study, the author analyzes and compares students' academic results of Customer psychology course employed traditional method and online learning method at a vocational institution in Hanoi, Vietnam. The author uses a simple statistical method to process the data. The secondary data used in the analysis are collected from the Department of Academic Affair at the studied institution. The research results show that the traditional teaching and learning method brings good learning outcomes for students. Specifically, the pass rate is high, the fail rate is low and so is the ineligibility rate. With online learning method, the academic results are a bit worse compared to traditional method regarding the pass rate and fail rate, but the percentage of students who are eligible to take the test is higher than the traditional method. In general, the online learning method with its prominent benefits still brings positive results for students. If the institution continues to implement this method, it is necessary to make some adjustments. © 2021 Association for Computing Machinery. All rights reserved.

Mortality Rate Extrapolation Based on Symptomatic Symptoms of Novel Corona Virus

Covid-19 is a medical pandemic originated in China due to the virus, eventually affecting all parts of the world. The study deals with the mortality rate in India using various machine learning techniques. The secondary data collection is done using various websites like Kaggle. The dataset collected contains lot of noise which is pre-processed and the inputs are converted into vectors using One-Hot encoding. The results are compared using various regression techniques and various output parameters like Accuracy, Variance, Max Square etc. The results indicated that lasso regression gives the best result. © 2021 IEEE.

Evaluation of engineering students output during covid-19 pandemic lockdown

COVID-19 pandemic lockdown effect is a global phenomenon that affects every sector of the world economy. Therefore, it is necessary to determine the extent to which COVID-19 lockdown impacted on Engineering education output in Nigeria and relate it vis-a-vis the ratio of government owned universities to private universities (PU) that graduated engineering students during the COVID-19 lockdown period in Nigeria. The survey design was adopted for this research. A cross-sectional survey of 65 universities offering engineering programmes was carried out using secondary data. The data obtained were analyzed and the results were compared with previous graduating years to ascertain the trend of deficit in numbers of trained engineers and revitalized them to the future impact in Nigeria and the global economy. Less than 5% of engineering students graduated during the 2020 academic year as a result of COVID-19 lockdown. 100% of both undergraduate and postgraduate graduated students were from PU because FU and SU lack the basic facilities to embark on online teaching and to conduct online examination. This further justified the demands from the Academic Staff Union of University (ASUU) on the need for the government to fund FU and SU adequately and functionally. Engineering students in Nigerian universities have no access to laboratories and research centres. The study has helped us to determine the extent of engineering educational training vulnerability. In conclusion, the government, all other stakeholders and international communities should invest adequate resources to eliminate engineering education challenges to guarantee a sustainable national and global economic development. © 2021 IEEE.

Characteristics of Remote Education in a Time of Pandemic: An Analysis of Transformative Teaching Practices in a Higher Education Institution

The SARS-COV 2 disrupted all sectors of the economy and education was no different. We saw a shift in educational paradigm: new technologies were developed, others revised, and new learning formats created. The goal of the present article is to analyze, based on the results obtained from an internal survey, the educational practices used in an IHE of the state of Rio de Janeiro, Brazil, during the pandemic. The methodological structure contemplates a brief literature review, a contextualization of the complex educational environment of Brazilian society and a quantitative analysis of secondary data. As a result, the data we presented allows us to gauge the wide variety of tools utilized and the several distinct forms of the diffusion of teaching used by professors. To maintain the effectiveness of this learning process and to absorb/transmit the necessary knowledge, extra effort from students and professors is needed as well as a redesign of personal and institutional processes. We concluded that the new process that emerged from this period, if well-adjusted and understood by all parts, can reinvent the global education ecosystem. To that end, the introduction of new tools and a cultural shift of institutions, professors and students will allow the constructing of new educational spaces. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.