Exploring Ethical, Ecological, and Health Factors Influencing the Acceptance of Cultured Meat among Generation Y and Generation Z.

Growing research and technological development is making the commercial production of cultured meat as a sustainable alternative to livestock-derived meat an increasing reality. However, to competitively position cultured meat on the food market, appropriate marketing and communication tailored to specific demographics is required. We aimed to define the motives that influence the willingness to include cultured meat in consumption based on age, specifically in Generation Z and Generation Y. To achieve this, data from a questionnaire survey that asked about ethical, ecological and health and safety factors around cultured meat was collected from 740 respondents (301 Generation Z and 439 Generation Y) and analyzed using the Mann-Whitney test and structural equation modeling. Generation Z were significantly more likely than Generation Y (p < 0.05) to consider cultured meat healthier than conventional meat because of the possibility of adjusting the composition and nutrient content. Generation Z were also significantly less concerned than Generation Y (p < 0.05) about the consequences that consuming cultured meat might have on human health. In Generation Z, ethical, ecological and health and safety factors significantly influenced their willingness to consume cultured meat (all p < 0.01). In conclusion, we confirmed the influence of ecological and ethical awareness, as well as health and safety, on willingness to include cultured meat in consumption; these areas could be targeted when marketing cultured meat.

Impact of digital communications on project efficiency through ease of use and top management support.

The pandemic has made the world witness an overnight transition from traditional to digital space owning to a lockdown, affecting everyday life. During the lockdown, the business community and people switched to online communication tools for survival. The behaviour towards adopting online communication tools during the pandemic has opened a new direction for researchers to study. This study aims to understand how during the covid-19 lockdown, digital communication tools affect project efficiency. It also explored to what extent project performance (PP) has been affected by digital communication during the lockdown. The study has used a cross-sectional quantitative-based approach. Moreover, a convenience sampling technique was adopted to collect. The target respondents are the project staff and employees of humanitarian organisations comprising international non-profit organisations (INGOs), UN agencies, and local non-profit organisations (NGOs) based in Pakistan. The survey was shared with 400 employees, and only 302 respondents responded. The results show that the user behaviour towards adopting digital communication tools is high; digital communication tools have an impact on project performance, while ease of use significantly moderates the relationship between digital communications tools and project performance compared to top management support. The research helps study employees' struggles in adopting change and advising organisations to devise practical digital communication strategies and business continuity plans to cope with crises.

Climate change and livestock herders wellbeing in Pakistan: Does nexus of risk perception, adaptation and their drivers matter?

Rural people, particularly in developing nations, rely on livestock as a key source of income. In Pakistan, rural people depend profoundly on buffalo, cows, sheep, and goats to earn their livelihood. The systems of agricultural production are at risk because of the negative effects of climate change. It badly affects production and quality of milk and meat, animal health, productivity, breeding, feed, and rangelands of livestock production. Climate change risks assessment and adaptation are required to minimize losses from these effects, which are not just technical but also socioeconomically significant. Hence, based on data collected from 1080 livestock herders using a multistage sampling technique in Punjab, Pakistan this study aims to assess perceived impact of climate change on livestock production and to assess coping strategies. In addition, determinants of adaptation strategies and their effects on livestock production was also estimated. Binary Logistic Regression was used to identify the drivers of adaptation strategies. In addition, Multi Group Analysis (MGA) in Partial Least Squares Path Modelling (PLS-PM) was applied to compare adapter and non-adapter of climate change adaptation strategies. Findings indicated that there are spread of various diseases to livestock due to adverse effects of climatic variability. There was reduction in the availability of the livestock's feed. Moreover, competition of water and land resources of livestock was also increasing. Low production efficiency resulted in decline of milk yield and meat production. Likewise, mortality of livestock, increased in still births, reduction in reproductive performance, decline in animal fertility, longevity, and general fitness, decreased birthing rates, rises in age at foremost calving in beef cattle was also prevailing. There were different adaptation policies used by farmers to handle with climate change and these were influenced by several demographic, socioeconomic, and agronomic aspects. Findings indicated that nexus of risk perception, adaptation plans and their determinants are beneficial to reduce the consequences of climatic variability and it improve the wellbeing of the herders. Risk management system may be created to protect livestock against losses caused by extreme weather events by providing awareness regarding influence of climate change on livestock. Easy and cheaper credit should be provided to the farmers to manage with the vulnerabilities of climate change.

Global analysis of Twitter communication in corporate social responsibility area: sustainability, climate change, and waste management.

Many people now consider social media to be an integral part of their daily routines, which has enabled companies to implement successful corporate social responsibility campaigns through these platforms. The direct interaction with stakeholders offered by social media helps companies to build understanding, trust, and their image. The aim of this study was to identify key topics and trends communicated in connection with corporate social responsibility on the Twitter social network from 2017 to 2022. Analysis of 520,638 tweets by 168,134 unique users identified a predominance of environment-related topics: Sustainability, Climate Change, and Waste management. However, Charity remains the largest single topic. Based on the trend analysis, the areas of ESG, Social Impact, and Charity were identified as growth areas in communication, while Green and Philanthropy, on the other hand, were identified as decreasing.

Major Determinants of Innovation Performance in the Context of Healthcare Sector.

Through the innovation network (IN) and the use of artificial intelligence (AI), this study aims to look into the innovation performance (IP) of the healthcare industry. Digital innovation (DI) is also tested as a mediator. For the collection of data, cross-sectional methods and quantitative research designs were used. To test the study hypotheses, the SEM technique and multiple regression technique were used. Results reveal that AI and the innovation network support the attainment of innovation performance. The finding demonstrates that the relationship between INs and IP links and AI adoption and IP links is mediated through DI. The healthcare industry plays a vital role in facilitating public health and improving the living standards of the people. This sector's growth and development are largely dependent on its innovativeness. This study highlights the major determinants of IP in the healthcare industry in terms of IN and AI adoption. This study adds to the literature's knowledge via an innovative proposal in which the mediation role of DI among IN-IP and AI adoption-innovation links is investigated.

Apple Leave Disease Detection Using Collaborative ML/DL and Artificial Intelligence Methods: Scientometric Analysis.

Infection in apple leaves is typically brought on by unanticipated weather conditions such as rain, hailstorms, draughts, and fog. As a direct consequence of this, the farmers suffer a significant loss of productivity. It is essential to be able to identify apple leaf diseases in advance in order to prevent the occurrence of this disease and minimise losses to productivity caused by it. The research offers a bibliometric analysis of the effectiveness of artificial intelligence in diagnosing diseases affecting apple leaves. The study provides a bibliometric evaluation of apple leaf disease detection using artificial intelligence. Through an analysis of broad current developments, publication and citation structures, ownership and cooperation patterns, bibliographic coupling, productivity patterns, and other characteristics, this scientometric study seeks to discover apple diseases. Nevertheless, numerous exploratory, conceptual, and empirical studies have concentrated on the identification of apple illnesses. However, given that disease detection is not confined to a single field of study, there have been very few attempts to create an extensive science map of transdisciplinary studies. In bibliometric assessments, it is important to take into account the growing amount of research on this subject. The study synthesises knowledge structures to determine the trend in the research topic. A scientometric analysis was performed on a sample of 214 documents in the subject of identifying apple leaf disease using a scientific search technique on the Scopus database for the years 2011-2022. In order to conduct the study, the Bibliometrix suite's VOSviewer and the web-based Biblioshiny software were also utilised. Important journals, authors, nations, articles, and subjects were chosen using the automated workflow of the software. Furthermore, citation and co-citation checks were performed along with social network analysis. In addition to the intellectual and social organisation of the meadow, this investigation reveals the conceptual structure of the area. It contributes to the body of literature by giving academics and practitioners a strong conceptual framework on which to base their search for solutions and by making perceptive recommendations for potential future research areas.

Organizational Change and Workplace Incivility: Mediated by Stress, Moderated by Emotional Exhaustion.

Modern organizations continuously undergo change processes. The focus of the organizations remains on the macro level, but the micro level (i.e., employee's perspective) is neglected. Using the conservation of resource theory (COR), this study examines the association between organizational change and workplace incivility. This study also proposes mediating and moderating mechanisms of stress and emotional exhaustion. The data were collected from 262 respondents working in public sector organizations in Pakistan using a time-lagged technique. The results proved that change significantly impacts workplace incivility. Moreover, stress mediates their relationship and emotional exhaustion moderates it. Furthermore, emotional exhaustion also moderates the stress-incivility relationship. Public sector organizations must focus on well-planned, inclusive, and adequately managed change processes to achieve the desired outcome; otherwise, adverse behaviors, including incivility, manifest. To the best of the authors' knowledge, the organizational change and incivility relationship has not been explored in the past. Additionally, their relationship with stress and emotional exhaustion also requires empirical investigation. This study also adds to the literature on the conservation of resource theory.

Do Smart Cities Represent the Key to Urban Resilience? Rethinking Urban Resilience.

The pandemic disrupted all activities, so it became necessary to understand, but also rethink, the complexity of economic resilience to better deal with future shocks. A component that can signal the resilience potential of a socio-economic system is smart city response, using technology to make services more efficient. This paper aims to analyze the relationship between smart cities and urban resilience to determine whether urban resilience is significantly influenced by urban smartness. Given the EU SDGs Strategy and the Implementation of RRF Programs, we have also identified the main driving forces that can amplify the impact of smart city development policies on local resilience. The results highlighted that at the European level, smart cities are significantly correlated with urban resilience; urban resilience is explained by the variation in urban smartness; resilience is correlated with all smart city dimensions, highly in (post-)pandemic, redefining a "new normal" in resilience approaches for smart cities. We also stressed the emerging, more complex content of the economic resilience concept and the new structural approach of smart cities resilience for the post-COVID-19 period.

Reversing Years for Global Food Security: A Review of the Food Security Situation in Sub-Saharan Africa (SSA).

All around the world, inequalities persist in the complex web of social, economic, and ecological factors that mediate food security outcomes at different human and institutional scales. There have been rapid and continuous improvements in agricultural productivity and better food security in many regions of the world during the past 50 years due to an expansion in crop area, irrigation, and supportive policy and institutional initiatives. However, in Sub-Saharan Africa, the situation is inverted. Statistics show that food insecurity has risen since 2015 in Sub-Saharan African countries, and the situation has worsened owing to the Ukraine conflict and the ongoing implications of the COVID-19 threat. This review looks into multidimensional challenges to achieving the SDG2 goal of "End hunger, achieve food security and improved nutrition, and promote sustainable agriculture" in Sub-Saharan Africa and the prosper policy recommendations for action. Findings indicate that weak economic growth, gender inequality, high inflation, low crop productivity, low investment in irrigated agriculture and research, climate change, high population growth, poor policy frameworks, weak infrastructural development, and corruption are the major hurdles in the sustaining food security in Sub-Saharan Africa. Promoting investments in agricultural infrastructure and extension services together with implementing policies targeted at enhancing the households' purchasing power, especially those in rural regions, appear to be essential drivers for improving both food availability and food access.

Obsessive passion, opportunity recognition, and entrepreneurial performance: The dual moderating effect of the fear of failure.

A strong inclination toward an important or preferred activity is a critical factor that drives individual to engage in corresponding activities. This study focuses on how entrepreneurs, influenced by obsessive passion, are motivated to put great effort into taking advantage of business opportunities and accomplishing entrepreneurial goals. By using SPSS and AMOS tools to analyze the multi-source questionnaire of 208 entrepreneurs, the research results show that obsessive passion can promote entrepreneurial performance and opportunity recognition plays a mediating role. In addition, endogenous and exogenous fear of failure play different moderating roles in the effect of obsessive passion on opportunity recognition. The research conclusion deepens the theoretical understanding of entrepreneurial passion, opportunity recognition, and fear of failure at a more subtle level.

Features influencing policy recommendations for the promotion of zero-emission vehicles in Slovenia, Spain, and Poland.

ABSTRACT: To make society more sustainable, cleaner transportation technologies, such as zero-emission vehicles and sustainable mobility, are being investigated, promoted, and supported by different policy measures. The emphasis of this paper is determining the zero-emission vehicle features that can influence specific policy recommendations; this understanding can boost zero-emission vehicle use as a potential cleaner transportation technology among different consumer segments in different EU member states. A customer-oriented study of over 1500 Slovenians, Spaniards, and Poles revealed the most relevant zero-emission vehicle-purchasing features are: (a) vehicle price and (b) fuel economy. The percentage of potential zero-emission vehicle buyers is said to rise to 80% should the price of electric cars decrease and fuel price increase accordingly, i.e. by 30% and 50%, respectively. Concerning the car price, Slovenian and Polish consumers' preferences are similar, and 40% of them (and up to 85% of Spaniards) would consider buying one if the price drops by 25%. Women in all three studied countries are more interested in zero-emission vehicles than men are. Different policies should be used in Poland, where people are not as interested in zero-emission vehicles as Spanish and Slovenian consumers are. Customer segmentation in all three groups pointed out that Poland has the highest share (19%) of "No-green" consumers, whereas Spain has the highest share (60%) of "Go-green" consumers, i.e. consumers who would consider buying a zero-emission vehicle in the foreseeable future.