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The climate change and related impacts are experienced around the world. There arise different triggering factors to climate change and impact. The purpose of this study is to figure out how changes in vegetation cover may or may not have an impact to climate change. The research will produce ideas for vegetation preservation and replant.

The investigation was probed for 34 years’ time period starting from the year 1981 to 2015. After testing and checking for serial autocorrelation in the vegetation data series, Mann–Kendal nonparametric statistical evaluation was carried out to investigate vegetation cover trends. Sen’s method was deployed to investigate the magnitude of vegetation cover change in natural differential vegetation index (NDVI) unit per year. Furthermore, the ArcGIS spatial analysis tools were used for the calculation of mean NDVI distribution and also for carrying out the spatial investigation of trends at each specific location within the study region.

The yearly mean NDVI during the study period was observed to have a decreasing trend. The mean NDVI value ranges between 0.32 and 0.98 NDVI unit, and hence, this means from less or poor vegetated zones to higher or healthier vegetated zones. The mean NDVI value was seen decreasing toward the highlands regions. The NDVI-rainfall correlation was observed to be stronger than the NDVI-temperature correlation. The % area coverage of NDVI-rainfall positive correlation was higher than the negative correlation. The % area coverage of NDVI-temperature negative correlation was higher than the positive correlation within the study region. Rainfall is seen as a highly influencing climatic factor for vegetation growth than the temperature within the study region.

This study in this country is a new approach for climate change monitoring and planning for the survival of the people of Papua New Guinea, especially for the farmer and those who is living in the coastal area.

The purpose of this paper is to investigate, from a thorough review of the literature, the role of metaverse-based quality 4.0 (MV-based Q4.0) in achieving manufacturing resilience (MFGRES). Based on a categorization of MV-based Q4.0 enabler technologies and MFGRES antecedents, the paper provides a conceptual framework depicting the relationship between both areas while exploring existing knowledge in current literature.

The paper is structured as a comprehensive systematic literature review (SLR) at the intersection of MV-based Q4.0 and MFGRES fields. From the Scopus database up to 2023, a final sample of 182 papers is selected based on the inclusion/exclusion criteria that shape the knowledge base of the research.

In light of the classification of reviewed papers, the findings show that artificial intelligence is especially well-suited to enhancing MFGRES. Transparency and flexibility are the resilience enablers that gain most from the implementation of MV-based Q4.0. Through analysis and synthesis of the literature, the study reveals the lack of an integrated approach combining both MV-based Q4.0 and MFGRES. This is particularly clear during disruptions.

This study has a significant impact on managers and businesses. It also advances knowledge of the importance of MV-based Q4.0 in achieving MFGRES and gaining its full rewards.

This paper makes significant recommendations for academics, particularly those who are interested in the metaverse concept within MFGRES. The study also helps managers by illuminating a key area to concentrate on for the improvement of MFGRES within their organizations. In light of this, future research directions are suggested.

Today’s in-demand skills may not be needed tomorrow. As companies are adopting a new group of technologies, they are in huge need of information technology (IT) professionals who can fill various IT positions with a mixture of technical and problem-solving skills. This study aims to adopt a sematic analysis approach to explore how the US Information Systems (IS) programs meet the challenges of emerging IT topics.

This study considers the application of a hybrid semantic analysis approach to the analysis of IS higher education programs in the USA. It proposes a semantic analysis framework and a semantic analysis algorithm to analyze and evaluate the context of the IS programs. To be more specific, the study uses digital transformation as a case study to examine the readiness of the IS programs in the USA to meet the challenges of digital transformation. First, this study developed a knowledge pool of 15 principles and 98 keywords from an extensive literature review on digital transformation. Second, this study collects 4,093 IS courses from 315 IS programs in the USA and 493,216 scientific publication records from the Web of Science Core Collection.

Using the knowledge pool and two collected data sets, the semantic analysis algorithm was implemented to compute a semantic similarity score (DxScore) between an IS course’s context and digital transformation. To present the credibility of the research results of this paper, the state ranking using the similarity scores and the state employment ranking were compared. The research results can be used by IS educators in the future in the process of updating the IS curricula. Regarding IT professionals in the industry, the results can provide insights into the training of their current/future employees.

This study explores the status of the IS programs in the USA by proposing a semantic analysis framework, using digital transformation as a case study to illustrate the application of the proposed semantic analysis framework, and developing a knowledge pool, a corpus and a course information collection.

Adequate vegetable consumption is fundamental to a healthy balanced diet; however, global compliance with recommendations is poor which is particularly important for young adults as they form food consumption habits. There is a growing interest in the circular economy of hospitality and sustainability of current dietary patterns in light of climate change and an expanding global population. The food value chain needs to be considered both vertically and horizontally where the research and development (R&D) investment is optimised by being “joined up” and not fragmentary; in addition, consumer trade-offs of health vs for example sensory appeal are taken into consideration. The purpose of this study was to identify factors predicting acceptance of vegetable dishes by young adults and present a roadmap that can be used for dish development and healthful marketing.

This study used the health belief model (HBM) as framework to investigate key factors that encourage vegetable intake by young adults using an online questionnaire sample of 444 enrolled in undergraduate programs at universities in Brazil.

Structural modelling showed that vegetable consumption frequency was positively influenced by Health concerns, Naturalness and Self-efficacy (including cooking skills), whereas Sensory factors and Familiarity demonstrated a negative loading that might be related to unpleasantness.

Globally, there is a strong need to promote the consumption of vegetables as a public health policy priority but also to ameliorate barriers to action that could be facilitated by availability, dish development and healthful marketing in hospitality operations.

This study aims to give a glimpse of the existing blockchain applications across industries and add to a complete knowledge of the blockchain’s properties.

Systematic literature review is used as the research strategy for this investigation and other aspects of the preferred reporting items for systematic reviews and meta-analyses framework have been incorporated to create a scholarly publications evaluation of the blockchain-based application in the financial arena and its future. The research looks at 86 studies published between 2018 and 2022.

There has been a steady but noticeable increase in the study of blockchain’s potential in many application domains over the past few of years. This rising tendency illustrates the newness and potential of blockchain technology, as well as the increasing attention from academics. According to the findings, blockchain is an appropriate solution for processing transactions using cryptocurrencies; nevertheless, it still has significant technical issues and limits that require to be exploring and solving before it can be considered a viable option. It is therefore, necessary to have a high level of reliability for payments and confidentiality, in addition to maintaining the anonymity of nodes, to stop assaults and efforts to disrupt transactions in the blockchain.

This study has several important theoretical and practical implications. First, it adds to the body of knowledge on blockchain and Fintech, focusing on the transaction side. While much blockchain research has focused on how the technology may affect strategic choices, this study has shed light on its potential from the perspective of financial reporting. Second, by highlighting the importance of the demand for the prompt identification of losses, this work adds to the body of knowledge on the factors that influence transaction frauds involving paper money. Additionally, by establishing the link between transparency and virtual transactions, the author backs up the asymmetric responses of investors to different investment possibilities. It looks at the evolution of financial technology (Fintech) and shows how it can be used to take the advantage of unique opportunities.

The study is different and novel from the previously published literature on this topic mainly because of its comprehensiveness, as it revolves around all industrial and commercial areas. The three main lines of research have been outlined, namely, classifying the many blockchain-based innovations that will alter the financial landscape in many industries; identifying whether these industries are a good fit for blockchain’s wealth creation potential; and directing researchers by outlining prospective study pathways.

The COVID-19 pandemic has disrupted various systems that drove people to adapt to certain technologies, such as electronic government services, for daily survival and to meet social distancing requirements. Therefore, this study aims to determine the antecedents of e-government use based on prospect theory and modified unified theory of acceptance use of technology (UTAUT) during a pandemic.

Convenience sampling of 368 respondents from Vietnam was conducted, and questionnaires were distributed personally or by email. The data were analyzed following a two-stage structural equation modeling (SEM) using SPSS v23 and AMOS v23. The validity and reliability of the instrument were tested and ensured.

Results show that perceived severity drives government support and social influence while perceived security drives government support, social influence and trust. Social influence enhances government support and trust, which both drives e-government use. Mediation analysis shows that government support mediates perceived the influence of perceived severity on e-government use.

The integration of prospect theory and UTAUT brings into light what will drive the adoption of e-government in the context of Vietnam. Supporting mechanisms, such as security measures, trust-building, government support and social influence, will drive citizens to adapt to technologies provided by the government but would also rely on the perceived risks and benefits.

This study integrates prospect theory and a modified version of UTAUT to explain the drivers of e-government use. The results reveal that under uncertainties, government support is critical in driving the use of e-government for people to manage the daily lives for survival.

The main goal of this study is to determine the role of employee commitment in the relations between the compensation system and turnover intentions of employees in the Republic of Serbia, as well as to investigate whether there is a mediating effect of employee commitment in this relation.

The primary methodology implemented in the research was data gathering, obtaining theoretical research works on the proposed relations and empirical studies based on the PLS-SEM, analysed by IBM SPSS Statistics and SmartPLS data processing software. The data for the analysis was obtained from a total sample of 764 employees, collected in the Republic of Serbia via an online questionnaire.

The results indicated a positive statistically significant relationship between the formative construct (compensation system) and reflective construct (commitment), as well as a negative statistically significant relationship between the compensation system and reflective construct (turnover intentions). Employee commitment partially mediates the relationship between the compensation system and turnover intentions of employees.

The study was conducted in Serbia and is thus rooted in the specific national context which is characterized by high power distance and high uncertainty avoidance and more collectivistic society with feminine values more expressed. Most of the previous investigations related to the mentioned constructs were performed in companies from more developed countries, including Western Europe and the United States of America, whereas there has been no such research conducted in Serbia to date. The results portrayed a mismatch between the expected relations regarding the attitudes of employees to the rewards and the proposed national context. Modern companies in Serbia need to follow a modern reward mechanism to build stronger commitment and decrease turnover intentions. Moreover, in most earlier research works, compensation was examined in terms of satisfaction with rewards, while this study was based on questions related to perceptions of employees toward HR compensation practices (“The organization offers me”-type questions), not related to their satisfaction. Further, in the majority of previous research works, the compensation system was examined as a variable in combination with other HR processes (staffing, training and development, career development, employee relations, HR planning, communication, etc.), as a HPWP, while in this case the authors used only the practice of compensation (reward elements and employee performance evaluation) to investigate relations with commitment and turnover intentions.

The researchers aim to investigate the role of psychological capital (PsyCap) in facilitating intrinsic motivation and goal-commitment among employees at the workplace, affecting outcome variables, namely, in-role and extra-role job performance.

Data were collected from 640 employees working in the information technology sector of India. Covariance-based structural equation modeling (CB-SEM) was used to test the hypothesized relationships.

Analysis revealed a significant positive impact of PsyCap on the two behavioral facets of job performance. Intrinsic motivation and goal-commitment were found mediating the influence of PsyCap on the two facets of job performance.

The information technology sector is characterised by continuous change. It requires voluntary prosocial behavior from employees, where the employees are expected to display multifaceted job performance behaviors, where they go beyond their job duties to cater for the dynamics of the IT sector. The present study provides means by which intrinsic motivated and goal-committed behavior are facilitated for both the in-role and extra-role job performance.

The present study is among the few preliminary studies that have provided evidence that intrinsic motivation and goal-commitment are the two variables which aid PsyCap in predicting both the prescribed and voluntary job performance behaviors.

The hotel industry is one of the leading producers of waste worldwide, and more than one-third of that waste is food. The purpose of this study is to investigate hotel managers' awareness of sustainable and circular practices, with a focus on their attitude toward and perception of food waste in Apulia, Southern Italy. The region has a tourist vocation, accounts for 3.3 million tourists per year and plays a key role in the Italian tourism.

The study was conducted using a questionnaire administered to ten hotel managers located in Apulia. In light of the Checkup Tool Speditivo, a sustainability score indicates managers' awareness of and attitude toward sustainability and circularity, distinguishing between “beginner” (0–25 points), “concerned” (26–50 points), “proactivist” (51–75 points) and “sustainable” (76–100 points). The results have been analyzed using descriptive statistic tools.

The average sustainability score indicating the level of awareness of sustainable and circular practices among hotel managers in Apulia was 84, whereas the average score associated with their attitude toward food waste management strategies was 65. The greater the number of stars, the higher the sustainability scores. However, the greater the number of rooms, the lower the attitude toward food waste management strategies.

The study sheds light on the main opportunities, barriers and trends in the field of food waste management, highlighting the food commodities which are wasted the most and proposing further strategies to improve circularity and sustainability in hotels. To the best of the authors' knowledge, this study is the first on such topics in Southern Italy and could represent the basis for future research on the topic.

This study aims to investigate the factors affecting the intention to visit community-based homestays among young adults in a developing country during the pandemic by incorporating the mediation effect of perceived values and moderation effects of safety and health concerns.

Data from young adults were gathered via a self-administered questionnaire, and 268 sets of surveys were analysed using partial least squares structural equation modelling.

The perceived value of community-based homestays among young adults is positively affected by relaxation, learning and entertainment. Perceived value also mediates the relationship between each of the three said motivational push factors and the intention to visit a community-based homestay. The relationship between perceived value and intention to visit community-based homestays among young adults is unaffected by safety and health concerns.

The analysis reveals that relaxation, learning and entertainment are key drivers of intentions to visit rural community-based homestays and that perceived value mediates links between them.

This study benefits the tourism authorities and marketers by enabling them to promote community-based homestays in the country among the young adult market.

This study contributes to the literature by using the motivation theory and model of goal-oriented behaviour to investigate the moderating effects of health and safety concerns on young adults visiting intention. Young adults’ perceived value was also examined to study its mediating effects on visiting intention.