bluuebunny/crossref_metadata_2025_split huggingface dataset:
University students' perceptions of shifting between online and offline learning: lessons from Kerala, India
Authors: Maya Madhavan , Anjana V.M. , Mini G.K. 
Published: October 2022

PurposeThe study explores the perspectives of college students on the pedagogical shift as well as frequent transitions between online and offline learning modes during the COVID-19 pandemic in Kerala, the most literate state in India.Design/methodology/approachA descriptive cross-sectional study was conducted among 1,366 college students in Kerala during December 2021. A pre-tested questionnaire was sent using Google Forms to students of arts and science colleges. The authors analyzed quantitative data using descriptive statistics and qualitative data using thematic content analysis.FindingsThe reported advantages of online learning were increased technical skill, flexibility in study time, effectiveness in bridging the gap of the missed academic period and provision of attending more educational webinars. Students expressed concerns of increased workload, difficulty in concentration due to family circumstances, academic incompetency, uncleared doubts and addiction to mobile phones and social media during the online classes. The main advantages reported for switching to an offline learning mode were enhanced social interaction, effective learning, better concentration and reduced stress. The reported challenges of offline classes were fear of getting the disease, concern of maintaining social distancing and difficulty in wearing masks during the classes. The shift in offline to online learning and vice versa was perceived as a difficult process for the students as it took a considerable time for them to adjust to the switching process of learning.Originality/valueStudents' concerns regarding transition between different learning modes provide important information to educators to better understand and support the needs of students during the pandemic situations.
A sustainable economic revival plan for post-COVID-19 using machine learning approach – a case study in developing economy context
Authors: Bhanot Neeraj , Ahuja Jaya , Kidwai Humaid Imran , Nayan Ankit , Bhatti Rajbir S. 
Published: October 2022

PurposeThe impact of COVID-19 has caused a recession in economies all over the world. In this context, the current study aims to analyze the prevailing economic scenario using a machine learning approach and suggest sustainable measures to recover the global economy taking the case of Make in India (MII) initiative of developing the economy as a base for the study.Design/methodology/approachA well-known topic modeling technique – Latent Dirichlet allocation (LDA) algorithm has been employed to extract useful information characterizing the existing state of selected sectors under the MII initiative alongside catalytic policies that have been implemented for the same. The textual data acts as the base of the study upon which suggestions are provided.FindingsThe findings obtained suggest that digital transformation will play a key role in concerned sectors to optimize the performance of manufacturing organizations. Additionally, inter-relationship between Key Performance Indicators for the economy's revival is crucial for effective utilization of foreign direct investment resources.Practical implicationsThe novel efforts to utilize MII initiative as a case present crucial information which can be used by policy makers and various other stakeholders across the globe to enhance decision-making and draft legislation across different sectors to empower the economy.Originality/valueThe study presents a novel approach to utilize the MII initiative by identifying important measures for crucial sectors and associated policies that have been presented by employing a text mining approach which in itself makes it unique in its contribution to research literature.
Analyzing user-generated content to improve customer satisfaction at local wine tourism destinations: an analysis of Yelp and TripAdvisor reviews
Authors: Garner Benjamin , Kim David 
Published: October 2022

PurposeSocial media use has increased in recent years, and businesses are looking to capitalize on the plethora of marketing opportunities afforded by this digital shift by paying attention to user-generated content (UGC) posted on review websites. Leveraging UGC can help small businesses gain a competitive advantage over late-adopters. At the same time, there is evidence to suggest that small businesses do not have the time, resources or skill level to properly use social media to create a competitive advantage. This paper aims to explore how wine tourism businesses can analyze consumer feedback on online review websites to evaluate customer perceptions and expectations and generate more effective ways to improve customer satisfaction.Design/methodology/approachThe qualitative method of thematic analysis was used to map out consumer reviews online to assess service satisfaction and dissatisfaction. A total of 848 reviews were gathered and qualitatively analyzed from two online review websites (TripAdvisor.com and Yelp.com) using open and axial coding and thematic analysis.FindingsThe results show that wine consumers are interested in the hedonic aspects of their experience, are most often attracted to wineries as a special outing and focus on factors such as scenery and atmosphere, service quality and products in their reviews. Hence, service and sales personnel have a key opportunity to capitalize on generating better service experiences through social media analysis.Originality/valueThe present study fills a gap by providing a more in-depth, qualitative exploration of the wine consumers’ psychology and experience, including factors such as atmosphere and special occasions. Furthermore, this study uses interpretive, manual coding to pick up on nuanced themes that are often missed by using automated qualitative analysis software or by looking at frequency counts in isolation.
Linking meaningful work and nurse turnover intention: a multilevel modeling
Authors: Dechawatanapaisal Decha 
Published: October 2022

PurposeThis study aims to examine the moderating role of perceived supervisor support at the team level on the relationships between meaningful work, job embeddedness, and turnover intention at the individual level.Design/methodology/approachA cross-sectional study was performed in 52 work-units from private general hospitals in Thailand. A total of 719 nurses completed a self-reported questionnaire. The hypotheses were tested through a multilevel approach.FindingsThe results indicate that job embeddedness mediates the relationship between meaningful work and intention to quit, and that perceived supervisor support at the team level reduces turnover intention by reinforcing the impact of meaningful work on job embeddedness.Research limitations/implicationsDespite a possible absence of common method variance, social desirability bias may exist due to a single-source survey data. The generalizability of the findings may be limited due to the nature of the sample, which involved only one industry.Practical implicationsCoaching supervisors on management and communication styles and providing team members with a say in concerns and expectations potentially improve how supervisors can be more supportive toward their respective team members.Originality/valueThe novelty of this study lies in its inclusion of meaningful work and a supportive constituent from team supervisors in the mediational pathway of job embeddedness-turnover model by considering a cross-level perspective.
Russia–Ukraine conflict: 2030 Agenda for SDGs hangs in the balance
Authors: Bin-Nashwan Saeed Awadh , Hassan M. Kabir , Muneeza Aishath 
Published: October 2022

Purpose
While the world is yet to fully recuperate from the social and economic repercussions of COVID-19, the Russia–Ukraine conflict poses another major threat causing a humanitarian crisis and economic shock. Although the 2030 Agenda for Sustainable Development Goals (SDGs) and its pledge to “leave no one behind” is a universal commitment to protect the livelihoods of vulnerable groups, the Russia–Ukraine ongoing conflict is causing immense suffering and a gloomy future for the 2030 Agenda. The purpose of this study is to provide a holistic understanding of the ramifications of the Russia–Ukraine war in SDGs progress around the world. Further, the authors shed light on how stakeholders can help engage in support of SDGs in such a challenging time.

Design/methodology/approach
This study is qualitative in nature and relies on secondary sources. The motive behind this study is to allow social and economic policy researchers and practitioners to learn from the Russia–Ukraine dispute. The authors conduct a preliminary factual analysis to determine patterns of how the conflict affects the SDGs Agenda. On this basis, the authors propose some recommendations.

Findings
While it is still early to measure the full impact of the war on crises worldwide, it is clear that the repercussions will be multi-dimensional. The authors argue that the conflict in Ukraine is severely threatening the achievement of the SDGs. As such, the authors identify patterns of this crisis that have halted progress on SDGs worldwide. Of all SDGs, the authors argue that SDG16 (i.e. peace and justice) is an absolute pre-requisite to sustaining other goals. Further, refugees should be economically empowered, resilient and sustainable food systems need to be put in place and renewable energy transition is required.

Research limitations/implications
This study serves as a springboard for future research by identifying patterns of war crises that have halted progress in achieving sustainable development worldwide. Empirical evidence needs to be conducted on the impact of this ongoing conflict on sustainable development and the 2030 Agenda.

Practical implications
This study could provide guidance to leaders and stakeholders across the globe on patterns for the impact of the Ukraine–Russia conflict on undermining global sustainable development while highlighting the need for major additional efforts to achieve the relevant SDGs.

Originality/value
To the best of the authors’ knowledge, this study is the first to analyse the threats the Russia–Ukraine dispute presents to the achievement of the 2030 Agenda for SDGs.
The origin and evolution of entrepreneurship policies: the case of China
Authors: Huo Da , Wei Yifan 
Published: October 2022

PurposeThis paper seeks to answer two questions: (1) where do a country's entrepreneurship policies come from? (2) How do they evolve and shape entrepreneurial activities?Design/methodology/approachDrawing upon the comparative political economy literature and the institutional perspective, this paper proposes a theoretical model of the origin and evolution of entrepreneurship policies. We use China as a case study to apply the theoretical model and demonstrate the evolution of entrepreneurship policies in three stages during the period 1978 to 2012.FindingsThe case analysis of China provides evidence and support for our theoretical model and unpacks the process by which entrepreneurship policies originate and evolve as the result of the interplay among constantly changing policymaking, production, and knowledge regimes.Research limitations/implicationsBecause of the research context, findings may lack generalisability. Additional studies on policymaking and production regimes of different kinds and their respective roles in shaping entrepreneurship policies are encouraged to further advance this line of research.Practical implicationsThis paper offers important implications concerning entrepreneurship policy and activities for policymakers, practitioners and other stakeholders in emerging economies.Originality/valueOur study fills a gap in the entrepreneurship literature by expanding scholarly understanding of the origin and evolution of entrepreneurship policies.
Who writes and who responds? Gender and race-based differences in open annotations
Authors: Bakermans Marja , Pfeifer Geoff , San Martín William , LeChasseur Kimberly 
Published: October 2022

Purpose
Historically minoritized students are routinely silenced in classroom settings. This study aims to explore whether open annotations encourage students with historically minoritized gender/racial/ethnic identities to share knowledge and ideas. In addition, this study explores how the intersectionality of student identities relates to their experiences of open annotation and assess gendered and racialized achievement of student learning objectives.

Design/methodology/approach
This study uses mixed methods to examine the use of an open annotation tool (Perusall) to foster the redistribution of epistemic authority and more equitable interactions in science, technology, engineering, and math and humanities courses at the intersection of environmental and social justice issues. The study design draws on illustrative case study methods to assist others in seeing the potential and considerations in using a similar pedagogical approach.

Findings
An open annotation tool like Perusall can foster more equitable interactions for historically minoritized students. Women reported that open annotations deepened knowledge and engagement with the source and their peers. Women of color, in particular, acknowledged the benefits of social annotations as a tool that redistributes epistemic authority. Conversely, men were more likely to comment on dissatisfaction with grading.

Originality/value
This study suggests the value of open annotation as an effective and accessible method to foster inclusive classrooms. Through examining epistemic authority in social annotations, this study provides a novel approach to addressing the disengagement of historically minoritized students.
Modeling cause-and-effect relationships among variables affecting work stress based on fuzzy DEMATEL method
Authors: Mahdinia Mohsen , Sadeghi Yarandi Mohsen , Fallah Hossein , Soltanzadeh Ahmad 
Published: October 2022

Purpose
Several variables can affect work stress. This study aims to model the cause-and-effect relationships among different variables that can predict work stress based on one of the most important fuzzy multicriteria decision-making methods used to investigate the cause-and-effect relationships among variables.

Design/methodology/approach
This study was conducted in 2020, including 17 experts in safety management, occupational health and work psychology, based on the fuzzy decision-making trial and evaluation laboratory method as a robust approach to identify the cause-and-effect relationships among different variables.

Findings
Shift work, lack of job satisfaction, mental health, mental overload, fatigue, job security, sleep disorders, environmental discomfort, work pressure, job knowledge (this could mean expertise/level of qualifications/familiarity with the job), work complexity and role conflict were found to be the most significant variables affecting work stress. Moreover, the cause-and-effect model of relationships among variables showed that shift work and lack of job satisfaction are root causes, and mental health, fatigue, mental workload, sleep disorder and environmental discomfort are direct causes.

Originality/value
Although the results of this study demonstrate that work stress can be influenced by 12 different variables, the modeling results show that some variables, such as shift work and lack of job satisfaction, can directly or indirectly impact other variables and thus result in work stress.
Water governance disclosure: the role of integrated reporting in the food, beverage and tobacco industry
Authors: Botha Martin , Oberholzer Merwe , Middelberg Susanna Levina 
Published: October 2022

Purpose
The purpose of this paper is to investigate current practices of water governance disclosure in the food, beverage and tobacco industry and to determine whether the quality of disclosure has a positive association with integrated reporting (IR).

Design/methodology/approach
A water governance disclosure index was developed that used content analysis to code the latest standalone social, environmental and sustainability reports or integrated reports of 49 companies in the food, beverage and tobacco industry. The selected companies are listed on three indices, the ASX, JSE and DJSI. This was followed by quantitatively testing the association between IR and the quality of water governance disclosure, as measured against the qualitatively developed index.

Findings
It was found that the 18 IR companies’ water governance disclosure quality significantly outperformed the 31 companies in the non-IR group, with a calculated index score of 71.67% and 40.97%, respectively.

Research limitations/implications
The evidence indicates that IR is superior to non-IR water governance disclosure, and the study, therefore, contributes to the literature around the legitimacy theory by concluding that IR is supportive to companies to legitimise their being.

Originality/value
The originality of this paper stems from the comparison of water governance disclosures between IR and non-IR firms. Considering that IR preparers outperformed companies in the non-IR group could provide insights to academics, regulators and reporting organisations that IR could be used to enhance water governance disclosure.
A study on the influence of media use on college students' environmental protection behaviors
Authors: Hao Yinhua , Yasin Megat Al Imran , Boon Sim Ng 
Published: October 2022

PurposeThe purpose of this study is to explore the influence of media use on environmental protection behaviors among college students.Design/methodology/approachA total of 182 college students from H universities, including science, engineering, liberal arts and art, were surveyed. This study used structural equation modeling (SEM) to analyze the data based on the proposed model, including media use, environmental protection awareness, environmental protection intentions and environmental protection behaviors, and then analyzed the impact of different gender, grade and disciplines on college students' environmental protection behavior by T-test and ANOVA.FindingsFirst, it can be seen from the structural equation model analysis that media use has a significant impact on environmental protection awareness and environmental protection intention of college students, while media use has no significant direct impact on their environmental protection behaviors, but environmental protection intention has a mediating effect between media use and environmental protection behaviors. Second, the analysis of control variables explained that gender and disciplines have no significant impact on college students' environmental protection behaviors, while grades do.Originality/valueResearch on media use on environmental protection behavior was limited. This study proposed a new model of the impact of media use on environmental protection behavior and deeply analyzed the effect of media use from the perspective of environmental protection behavior. In addition, this study put forward research suggestions from the perspective of media publicity and environmental protection, hoping that the research conclusions could provide a basis and reference for ecological environment construction.
Atomic structure for AlN grown on different plane orientation of sapphire via numerical study
Authors: Mansor Mazwan , M. Syamsul , Yusuf Yusnizam , Abdul Rahman Mohd Nazri 
Published: October 2022

Purpose
This study aims to present a numerical study of atomic structure for aluminium nitride (AlN) when the crystal was assumed grown on different orientation of sapphire substrate. The change of the AlN atomic structure with sapphire orientation was associated to the interface between the AlN and the sapphire. The results from this study would provide a guideline in selecting suitable orientation of sapphire for obtaining desirable AlN crystals, in particular, for reducing threading dislocation density in the AlN/sapphire templates for developing UV LEDs.

Design/methodology/approach
The approach of atomic structure by visualization for electronic and structural analysis numerical method to develop shape of atomic geometry to evaluate which plane are more suitable for the AlGaN technology UV-LED based.

Findings
The calculation based on ratio on first and second layers can be done by introduction of lattice constant.

Research limitations/implications
With plane’s color of cutting plane on bulky materials, all the shape looks the same.

Practical implications
By implementing this method, the authors can save time to find the most suitable plane on the growth structure.

Originality/value
All authors of this research paper have directly participated in the planning, execution or analysis of the study; all authors of this paper have read and approved the final version submitted; the contents of this manuscript have not been copyrighted or published previously; the contents of this manuscript are not now under consideration for publication elsewhere; the contents of this manuscript will not be copyrighted, submitted or published elsewhere, whereas acceptance by the journal is under consideration.
Dryland soil mycobiome response to long‐term precipitation variability depends on host type
Authors: Louw Nicolas , Gherardi Laureano A. , Sala Osvaldo E. , Chung Y. Anny 
Published: October 2022

AbstractClimate change is projected to cause shifts in precipitation regimes globally, leading to intensified periods of precipitation and droughts. Most studies that have explored the influence of changing precipitation regimes on ecosystems have focused on changes in mean annual precipitation, rather than the variance around the mean. Soil fungi are ubiquitous organisms that drive ecosystem processes, but it is unknown how they respond to long‐term increased interannual precipitation variability.Here, we investigated the influence of long‐term increased precipitation variability and host type on soil fungal diversity and community composition in a dryland ecosystem. We collected 300 soil samples from two time points and different host type substrate types at a long‐term precipitation variability experiment at the Jornada Long Term Ecological Research site. Next, we used amplicon sequencing to characterize soil fungal communities.Soil fungal alpha diversity and community composition were strongly affected by host type and sampling year, and increased precipitation variability caused a modest, statistically insignificant, decrease in soil fungal evenness. Furthermore, results from our structural equational model showed that the decrease in grass‐associated soil fungal richness was likely an indirect result of host decline in response to increased precipitation variability.Synthesis. Our work demonstrates effects of increase in interannual precipitation variability on soil fungi, and that plant hosts play a key role in mediating soil fungal responses.