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Despite an enormous body of literature on conflict management, intra-group conflicts vis-à-vis team performance, there is currently no study investigating the conflict prevention approach to handling innovation-induced conflicts that may hinder smooth implementation of big data technology in project teams.

This study uses constructs from conflict theory, and team power relations to develop an explanatory framework. The study proceeded to formulate theoretical hypotheses from task-conflict, process-conflict, relationship and team power conflict. The hypotheses were tested using Partial Least Square Structural Equation Model (PLS-SEM) to understand key preventive measures that can encourage conflict prevention in project teams when implementing big data technology.

Results from the structural model validated six out of seven theoretical hypotheses and identified Relationship Conflict Prevention as the most important factor for promoting smooth implementation of Big Data Analytics technology in project teams. This is followed by power-conflict prevention, prevention of task disputes and prevention of Process conflicts respectively. Results also show that relationship and power conflicts interact on the one hand, while task and relationship conflict prevention also interact on the other hand, thus, suggesting the prevention of one of the conflicts could minimise the outbreak of the other.

The study has been conducted within the context of big data adoption in a project-based work environment and the need to prevent innovation-induced conflicts in teams. Similarly, the research participants examined are stakeholders within UK projected-based organisations.

The study urges organisations wishing to embrace big data innovation to evolve a multipronged approach for facilitating smooth implementation through prevention of conflicts among project frontlines. This study urges organisations to anticipate both subtle and overt frictions that can undermine relationships and team dynamics, effective task performance, derail processes and create unhealthy rivalry that undermines cooperation and collaboration in the team.

The study also addresses the uncertainty and disruption that big data technology presents to employees in teams and explore conflict prevention measure which can be used to mitigate such in project teams.

The study proposes a Structural Model for establishing conflict prevention strategies in project teams through a multidimensional framework that combines constructs like team power conflict, process, relationship and task conflicts; to encourage Big Data implementation.

This study investigates the requisite measures for enhancing sustainability practices within the Indonesian construction industry based on professional perspectives.

This study used quantitative approach for data collection. A survey was conducted, using a questionnaire completed by 482 Indonesian construction professionals as a research instrument, and data were analyzed through reliability and exploratory factor analysis.

The findings suggest that for sustainability practices to become widely implemented within the Indonesian construction industry, certain measures are required. These include the need to raise awareness through education, development of standardized benchmarks, and the implementation of appraisal systems by the government, professional bodies, and academic institutions. These approaches are expected to build capacity and enhance the knowledge of sustainability among construction professionals and their clients. In addition, sustainable construction practices could be encouraged through a subsidized green market, which could be finalized supported by the government from financial penalties levied against non-sustainable practices.

By implementing the underlying strategies within the Indonesian construction industry, the poor knowledge, awareness, implementation, and motivation for sustainable practices within the Indonesian construction industry could be addressed, thereby reducing the environmental impacts associated with buildings and construction activities.

This study aims to review processing and utilization of snail meat in alleviating protein malnutrition in Africa. Most countries in Africa are faced with a major challenge of protein malnutrition as a result of high cost of animal proteins. This has encouraged more research works in the use of wild or game meat to meet the much-needed animal proteins.

Previous literatures on the above subject matter were reviewed. In many African countries, the use of snails, rodents and other small livestock in the wild could help in improving the nutritional needs of the people in both urban and rural areas, as well as adding economic value through income generation to the local people.

Snails are very rich in dietary protein, low in fat and cholesterol and are good sources of iron, magnesium, calcium and zinc. Previous studies showed that snail meat contains 70 per cent of water and its dry matter contains high amounts of essential amino acids such as lysine, leucine, arginine and tryptophan. Research studies have shown that snail contains calcium orthophosphate, a chemical substrate that could alleviate and reduce kidney diseases. Also, the glandular substances found in edible snails were found to have antimicrobial activities that cause agglutination of certain bacteria, which could be used against some ailments like whooping cough. As snail meat products have high nutritional value, spoilage sets in after one or two days after harvesting, and therefore, the preservation of snail meat has become a major concern to farmers, processors and consumers. Several preservation techniques could be adopted, which include smoking, sun drying, convectional drying and the use of natural or artificial preservatives. These methods have been found to reduce microbial load of snail meat and help to extend shelf life and keeping quality of snail meat.

This review X-rayed the importance of snail meat in the human diet and how this could be explored to enhance protein nutrition in developing countries.

Amidst all solutions posited to address sustainable construction practices in Nigeria, the implementation plans are repudiated by sustainable barriers. This study examines and confirms the strategy with the most significant impacts on the identified barrier to sustainable construction practice (SCP).

The study deployed a questionnaire survey to evaluate the perspective of 100 construction actors on the barriers and strategies of sustainable construction practice in Nigeria. Factor Analysis was employed to categorize key barriers and strategies into their underlying clusters for further analysis. Partial least squares-structural equation modelling (PLS-SEM) was used to confirm the construct's significant relationship and magnitude, thereby establishing the strategies with the highest impacts on the barriers to sustainable construction practices.

The findings revealed three clusters of barriers and four groups of strategies to SCP, including technopolitic barrier, perception and awareness barrier and sociocultural barrier. For the significant strategies, education and training, stakeholder regulation, incentive support and government and legislative support strategies were established. Overall, education and training strategy was identified as the most dominant and effective strategy to mitigate the barriers of SCP in Nigeria.

The paper establishes education and training as the key strategy to achieving sustainable quest in the AEC industry. The practical implication is that policymakers, educators and professional bodies can harness sustainable knowledge transfer through education and training to improve sustainable construction practices in Nigeria.