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This study aims to address the issue of perfunctory sharing that arises in knowledge governance due to a lack of willingness to share knowledge between individuals within the same organization. This knowledge-sharing process does not occur simultaneously for both parties but follows a sequential progression. Additionally, this governance model fully considers the willingness of both parties to share and effectively addresses the two knowledge characteristics that influence their willingness to do so.

This study follows inductive logic and primarily adopts an interpretive case study approach to conduct a longitudinal exploratory case study. An incubator enterprise with active knowledge-sharing activities and significant knowledge governance effects is selected as the research subject. The governance system is explained through the lens of prospect theory at the mechanism level.

In the study of the knowledge-sharing process, the authors observed a new challenge: perfunctory behavior, whereby individuals engage in knowledge-sharing activities that lack substantial effects as a way to avoid genuine sharing. From this, a new knowledge-sharing model was extracted, the cold start and hot feedback model, which follows a sequential (rather than simultaneous) progression. Using the deterministic effect of prospect theory and the principle of reference dependence, the governance mechanism of corporate knowledge sharing was analyzed from the perspective of knowledge-sharing willingness.

Based on prospect theory, this study primarily explains how the governance mechanism influences the willingness to share knowledge from the perspective of four principles. In the future, threat rigidity theory and commitment escalation theory can be combined to further analyze the willingness to share knowledge from the perspectives of pressure and cost. Empirical research methods can also be used to test and enrich the research results of this paper.

After considering the willingness to share knowledge, a new knowledge-sharing model and corresponding knowledge-sharing governance model are proposed, and prospect theory is extended to the knowledge-based theory research field.

This study aims to analyse the potential impacts of free trade agreement (FTA) between Indonesia and Organisation of Islamic Cooperation (OIC) countries by eliminating import tariffs in the halal food sector on welfare, gross domestic product (GDP) and trade balance. OIC countries as the second-largest organisation after the United Nations are the potential markets for the halal food industry.

This study used the Global Trade Analysis Project database version 10 by adopting a computable general equilibrium (CGE) model for two scenarios. The first scenario stated that Indonesia should conduct an FTA with ten potential OIC countries as export destination, while the second one stated that it should be conducted with all OIC countries.

Indonesia is predicted to get the highest increase in welfare by making an FTA with all OIC countries. Scenario 2 showed that Indonesia had much higher changes in real GDP with a positive change of 0.0018%. Even though it is projected to experience a surplus in the trade balance in both scenarios, Indonesia is predicted to experience a decline in exports for the particular halal food sector. The findings contribute some new insights to the existing literature, revealing an alignment between economic integration and the concept of international trade in Islam.

The limitation of this study is the available data that cannot describe the population of all OIC countries. Only 31 countries out of a total of 56 OIC countries can be used in research. The scope of research is limited to analysing FTAs between Indonesia and OIC countries in the form of abolishing import tariffs and does not include non-tariff barrier issues such as halal certification.

The preferential trade agreement is considered relevant as Indonesia’s initial commitment to conduct a bilateral trade with ten selected OIC countries. The Indonesia Government, however, still needs to make several mitigation efforts in various sectors experiencing losses as a result of economic integration, such as by creating a more conducive business climate, supporting the sources of capital, facilitating bureaucratic affairs, as well as providing tax incentives.

This paper contributes to the literature by focusing on the critical aspects of the FTA’s impacts on halal food sectors by optimizing the reduction of import tariffs of OIC countries. Different from previous studies, this study applied a static CGE model to examine the impacts of FTA on macroeconomic indicators.

In the process of making agricultural production decisions in rural households, severe weather conditions, either extreme cold or heat, may squeeze the labor input in the agricultural sector, leading to a reallocation of labor between the agricultural and non-agricultural sectors. By applying a dataset with a wide latitude range, this study empirically confirms the influence of extreme temperatures on the agricultural labor reallocation, reveal the mechanism of farmers’ adaptive behavioral decision and therefore enriches the research on the impact of climate change on rural labor markets and livelihood strategies.

This study utilizes data from Chinese meteorological stations and two waves of China Household Income Project to examine the impact and behavioral mechanism of extreme temperatures on rural labor reallocation.

(1) Extremely high and low temperatures had led to a reallocation of labor force from agricultural activities to non-farm employment, with a more pronounced effect from extreme high temperature events. (2) Extreme temperatures influence famers’ decision in abandoning farmland and reducing investment in agricultural machinery, thus creating an interconnected impact on labor mobility. (3) The reallocation effect of rural labor induced by extreme temperatures is particularly evident for males, persons that perceives economic hardship or labor in economically active areas.

By applying a dataset with a wide latitude range, this study empirically confirms the influence of extreme temperatures on the agricultural labor reallocation, and reveals the mechanism of farmers’ adaptive behavioral decision and therefore enriches the research on the impact of climate change on rural labor markets and livelihood strategies.