In the current competitive global marketplace, innovation is key for high-tech firms to thrive. Open innovation offers a promising approach, but its effectiveness remains unclear. Therefore, this research explored the connection between open innovation, knowledge management capability, and innovation performance within high-tech firms. We used a mediation approach to highlight the central role of knowledge management capability in the relationship between open innovation and innovation performance. We used a survey questionnaire approach to collect data from the 462 employees of high-tech firms on open innovation, knowledge management capability, and innovation performance using a convenient sampling technique. We used partial least square structural equations modeling through PLS-SEM statistics. Results indicated that open innovation has a direct, positive and significant connection with innovation performance. Similarly, the current research serves as a pioneering exploration into mediation analysis, highlighting the mediating role of knowledge management capability that influences the relationship between open innovation and innovation performance. Empirical studies offer valuable insights for leaders of high-tech firms, guiding them to identify effective knowledge management practices and determine the ideal extent of open innovation to boost innovation performance. The current study reveals novel insights into the benefits of knowledge management capability in enhancing open innovation efforts within firms. This research provides valuable implications and future research directions.

Since its introduction to China from India, Chan has become a Buddhist school with Chinese characteristics. In the process of its development, because of its tenet of “special transmission outside of the doctrine that does not establish words and letters”, Chan school encountered difficulties in realizing the practice of living. In recent years, Buddhist masters have made many contributions to the development of Chan School. Master Xuyun’s advocacy of Chan philosophy and practice made it possible to popularize Chan in people’s lives. Master Xuyun’s initiatives to promote the development of Chan School have filled out a complete picture of the history of Chan Buddhism.

This study offers a focused examination on Xinfang system, China’s unique mechanism particularly on its ability and efficacy in mediating land disputes between farmers and governmental bodies for social governance purposes. Based on interviews with 10 farmers, the study elucidates the system has low entry barriers and user-friendly, thus fast becoming the preferred system option when dealing with land conflicts. Xinfang facilitates direct communication between farmers and government officials, thereby in line with the sociocultural conventions of the rural populace. The study also highlights several constraints. While the Xinfang system employs a multifaceted approach to conflict resolution, including negotiation and grassroots governmental intervention, it lacks legislative power and institutional authority that are required for effective management of more complex or multi-stakeholder land disputes. The study advocates for a comprehensive reassessment and subsequent reform of the Xinfang system, focusing particularly on its mechanisms and procedures for dispute resolution. Such reforms are not merely instrumental for the more robust safeguarding of farmers’ land rights, but also for enhancing the overall integrity and public trust in China’s legal and administrative frameworks.

The development of entrepreneurship in fisheries operations is an important component of eliminating poverty. Fisherman obviously produce fishery goods, despite the broad recognition of the positive role that entrepreneurship can play in the reduction of poverty. Integration into one’s society and economy are increasingly beginning to be seen as an essential component of entrepreneurial success. This study aims to investigate the cultural and entrepreneurial attitudes of fishermen involved in the production of fishery products in the Province of West Sumatra, Indonesia, accordingly with a particular focus on marine resource conservation areas in village development. In this development, the descriptive design of capitals was utilized. This design included interviews, a questionnaire survey, and a review of the relevant body of literature. As a result, the purpose of the study was to propose an alternative model for the development of villages that would be considered novel in Indonesia. The findings demonstrated that the model makes a contribution to enhancing the socio-economic, cultural, and social capabilities of a group of fishermen. In conclusion, tourism that is focused on social entrepreneurship has the potential to boost entrepreneurial attitudes as well as the atmosphere surrounding community understanding of creative village development. We came to the conclusion that implementing tourism with a focus on social entrepreneurship could increase entrepreneurial attitudes and create an atmosphere that is more conscious of the needs of the community in village development.

Outsourcing logistics operations is a common trend as businesses prioritize core activities. Establishing a sustainable partnership between businesses and logistics service providers requires a systematic approach. This study is needed to develop a more effective and adaptive framework for logistics service provider selection by integrating diverse criteria and decision-making methodologies, ultimately enhancing the precision and sustainability of procurement processes. This study advocate for leveraging industry-based knowledge in procurement, emphasizing the need to define decision-making elements. The research analyzes nearly 300 logistics procurement projects, using a neural network-based methodology to propose a model that aids businesses in identifying optimal criteria for evaluating logistics service providers based on extensive industry knowledge. The goal of this study is to develop and test a practical model that would support businesses in choosing most suitable criteria for selection of logistics service providers based on cumulative market patterns. The results of this study are as follows. It introduces novel elements by gathering and systematizing unique market data using developed data processing methodology. It innovatively classifies decision-making elements, allocating them into distinct groups for use as features in a neural network. The study further contributes by developing and training a predictive model based on a prepared dataset, addressing pre-defined goals, expectations related to green logistics, and specific requirements in the tendering process for selecting logistics service providers. Study is concluded by summarizing suggestions for future research in area of adopting neural networks for selection of logistics service providers.