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The purpose of this paper is to estimate the domestic agriculture’s contribution to food security in the case of missing imports of food and feed to the food supplies of the country.

This paper uses the Decision Support System for food Security Strategy and Supply Management (DSS-ESSA) to simulate whether a country with as low a level of self-sufficiency (around 60 per cent) as Switzerland would theoretically be capable of supplying its own population with a sufficient quantity of domestically produced food. The authors try to estimate the short-term and long-term impacts of the missing imports of food and feed on the energy supply in Switzerland.

Findings are summarised as follows. Starting with the long-term impact, the results show that in the long-term an energy supply of 2,340 kcal/person/day would be possible if the appropriate available cultivated area and optimised production existed. However, in the short-time, the potential and the time required to adapt and expand agricultural production depends primarily on the crop-rotation land available and on the existing infrastructure.

In the present version of DSS-ESSA no economic and environmental module has been integrated.

The current model version has been funded by the Swiss Federal Office for Agriculture and aims at supporting Swiss policy-makers to guide changes. Numerous additional data such as technical production contexts are regularly checked by experts.

Globally, several studies have shown that biosphere reserves faced severe threats related to climate and human changes. Community participation in environmental sustainability may mitigate these threats in biosphere reserve destinations. Therefore, this paper aims to examine the community perceptions regarding the proposed Penang Hill Biosphere Reserve with the support of Community Readiness Theory to the framework via qualitative research.

To achieve this, 13 face-to-face interviews were conducted that covered major communities within the hill and validated via secondary sources. Phenomenological type of qualitative research and a combination of purposeful and snowball type of non-probability sampling techniques were used.

This paper found that Penang Hill Corporation does collaborate with communities around the hill in matters connected with hill conservation.

This paper is limited to investigating community perceptions regarding the proposed Penang Hill Biosphere Reserve. Future research is needed to further investigate the framework and the supporting theory (Community Readiness Theory).

This paper recommended that Penang Hill Corporation should build more effective communication capacity for the communities around the hill via coordinated synergy within the various agencies and communities. Also, the act that established the corporation should be reviewed to capture the provision of liaison offices for agencies controlling various sections of the hill.

This paper demonstrates that positive community engagement will enhance environmental sustainability and possibly facilitate recognition by UNESCO’s Man and Biosphere Reserve Programme.

The learning environment is not a vacuum, but rather is rich in social contexts with innumerable points, interests, and beliefs. This takes one of the concepts of “social learning” which is not just a natural occurring phenomenon but also a way of organizing learning and communities of learners. Social Learning (SL) tends to refer to learning that takes place when divergent interests, norms and values of reality meet in an environment that is conducive to learning. This paper helps to determine the impact of SL forms on environmentally sustainable consumption behavior among school children.

After conducting an experimental study among school children, data were analyzed using ANOVA. The total sample size was 760.

SL forms as an intervention influence environmentally sustainable consumption behavior (ESCB) among school children. The findings of this paper suggest that SL techniques such as visuals had been able to positively impact the constructs like knowledge, comprehension, and application. This was very much supported by observations of children, interactions with them and the upfront support provided by school and teachers.

Based on the result, the paper identified that although SL forms influence the ESCB, there is a need to identify the most effective SL forms having impact on ESCB.

This study will help marketers to understand that what type of learning forms can be used to enhance the environmentally sustainable consumption behavior among children.

This paper is completely an original work carried out by the author.

This study aims to introduce a multilevel micro-foundational perspective on supply chain (SC) ambidexterity, grounded in organizational learning and adaptation research. It investigates the interplay of contextual factors, strategic orientation and a bundle of supply chain management practices to foster ambidextrous performance.

Leveraging a blend of perceptual and objective data and measures, this study explores the intricacies of macro and micro factors at multiple levels, offering empirical support for the research framework. The interrelationships among these factors are scrutinized through three analytical approaches: selection, interaction and system forms of interdependence analysis.

First, the authors offer empirical support for their conceptual model, illustrating that ambidexterity behavior and outcomes in the SC emanate from intricate interactions between macro and micro factors across various levels. Second, the authors present robust empirical evidence endorsing a system/gestalt form of interdependence analysis in capturing SC ambidexterity and performance. This analytical approach effectively captures the complementarity and contradictory interdependence among the opposing poles of efficiency and responsiveness.

The organizational and SC activity configuration faces numerous paradoxical tensions, such as profitability versus sustainability. This study offers valuable insights into establishing an ambidextrous system capable of navigating and addressing these paradoxical situations.

This paper aims to make a systematic review of the manpower prediction model of the construction industry. It aims to determine the forecasting model's development trend, analyse the use limitations and applicable conditions of each forecasting model and then identify the impact indicators of the human resource forecasting model from an economic point of view. It is hoped that this study will provide insights into the selection of forecasting models for governments and groups that are dealing with human resource forecasts.

The common search engine, Scopus, was used to retrieve construction manpower forecast-related articles for this review. Keywords such as “construction”, “building”, “labour”, “manpower” were searched. Papers that not related to the manpower prediction model of the construction industry were excluded. A total of 27 articles were obtained and rated according to the publication time, author and organisation of the article. The prediction model used in the selected paper was analysed.

The number of papers focussing on the prediction of manpower in the construction industry is on the rise. Hong Kong is the region with the largest number of published papers. Different methods have different requirements for the quality of historical data. Most forecasting methods are not suitable for sudden changes in the labour market. This paper also finds that the construction output is the economic indicator with the most significant influence on the forecasting model.

The research results discuss the problem that the prediction results are not accurate due to the sudden change of data in the current prediction model. Besides, the study results take stock of the published literature and can provide an overall understanding of the forecasting methods of human resources in the construction industry.

Through this study, decision-makers can choose a reasonable prediction model according to their situation. Decision-makers can make clear plans for future construction projects specifically when there are changes in the labour market caused by emergencies. Also, this study can help decision-makers understand the current research trend of human resources forecasting models.

Although the human resource prediction model's effectiveness in the construction industry is affected by the dynamic change of data, the research results show that it is expected to solve the problem using artificial intelligence. No one has researched this area, and it is expected to become the focus of research in the future.

This paper first reviews the history of social insurance policy and coverage in urban China, documenting the evolution in the coverage of pensions, medical and unemployment insurance for both local residents and migrants, and highlighting obstacles to expanding coverage. The paper then uses two waves of the China Urban Labor Survey, conducted in 2005 and 2010, to examine the correlates of social insurance participation before and after implementation of the 2008 Labor Contract Law. A higher labor tax wedge is associated with a lower probability that local employed residents participate in social insurance programs, but is not associated with participation of wage-earning migrants, who are more likely to be dissuaded by fragmentation of the social insurance system. The existing gender gap in social insurance coverage is explained by differences in coverage across industrial sectors and firm ownership classes in which men and women work.

The economic reform started in 1978 progressively pushed China into one of the largest market-oriented economies in the world. The reform also triggered substantial transformations in the labor market. The labor surplus generated by increased productivity in rural areas, together with the growth in labor demand driven by export-oriented sectors in urban areas, contributed to the largest movement of workforce in history. The rural-to-urban migration currently taking place is substantially contributing to the sustained economic growth of China – especially of its cities – but also raises important issues about segregation and inequality in the urban labor market. In contrast, migration has also significant consequences for the individuals left-behind in rural areas. How economic conditions in sending households and villages are affected by the remittances sent by migrants, or by their return from the cities, is crucial for assessing the benefits of migration. The gradual decline of state-owned companies and the rise of the private sector emphasize on the one hand the consequences that labor reallocation has on the occupational mobility of the workforce and on the other the crucial role that entrepreneurship will have in the future development of China. Pulled by economic growth, investments in education have substantially increased especially in urban areas, posing challenges on how skills can be efficiently allocated in the labor market. In the background, reforms of the welfare system have slowly started to take place. One clear challenge is how the social insurance and pensions system can be transformed into one that is more compatible with a market economy. Another issue will soon be its sustainability, considering the imminent shrinking of the labor force caused – among other things – by the one-child policy.

Team coaching is a promising way to advance a shift from the classical leader to a coach who leads his/her interprofessional colleagues. It is acknowledged as an effective instrument to reinforce leaders’ roles but is rarely used in the health-care sector. This paper aims to present the team leader coaching programme (TLCP), designed to strengthen team leaders by implementing coaching tools into their work routine.

The TLCP was designed based on the evaluated intervention on patient-centred team development, an expert workshop and a literature search. It addresses leadership styles, self-reflection, role clarity, attitude, moderation techniques and coaching tools with a focus on systemic questions. It was implemented as a train-the-trainer concept, in two training groups including 27 participants from 12 clinics (“multi-clinic” group) and another in-house training group (“single-clinic” group) including 15 participants from one clinic.

There were differences in the evaluation of the training between the group that received an inhouse training (“single-clinic” group) and the group that received a workshop in a group of professions from different clinics (“multi-clinic” group) with a tendency for a more positive evaluation by the “multi-clinic” group.

The TLCP is a promising programme to potentially improve teamwork in rehabilitation clinics, as it provides team leaders with coaching tools they can use in their work routine without being dependent on external coaches. It is characterized by a reflective stance, which seems to be highly necessary to optimally fulfil the role of a team leader.