High-quality development in China requires higher vocational education, scientific and technological innovation, and sustainable economic development. The spatial distribution patterns of these factors show higher levels in the east and coastal areas compared to the west and inland regions, emphasizing the need for coupling coordination with the social economy. This study examines the impact of sustainable economic development on the coupling coordination degree using the spatial Durbin model. The results show a positive promotion and spillover effect, with regional variations. The main factors affecting the difference in coupling coordination are the amount of technology market contracts, fiscal expenditure on science and technology, patent application authorizations, tertiary industry output value, and the number of R&D institutions. According to the grey prediction model, the coupling coordination degree is expected to increase from 2022 to 2025, but achieving primary coordination may still be challenging in some areas. Therefore, strategies that utilize regional characteristics for coordinated development should be developed to improve the level of coupling coordination and create a mutually beneficial environment.

The rising trend of tourists selecting agrotourism as a tourist destination has become an intriguing study issue. Seremban is a well-known tourist attraction that is popular among visitors. As a result, Seremban has been selected as the study site. However, river pollution may have an influence on Seremban’s natural environment and agrotourism potential. Furthermore, inadequate infrastructure, such as unauthorized parking, exacerbated the inhabitants’ problems. A growing number of young people leave Seremban to pursue employment or further education in other cities, with no desire to work as farmers. The labor scarcity has also made it difficult for farmers to grow their farms. Consequently, the study aims to examine how factors such as the natural environment, tourist infrastructure, perceived social advantages, and perceived barriers influence the attitudes of Seremban residents towards agrotourism, with a focus on its potential for driving economic growth. This study adopts quantitative research methods, employing descriptive and causal research designs. Primary data collection is conducted through questionnaires, supplemented by secondary data. Non-probability quota sampling is utilized due to the absence of a specific sampling frame, with a sample size of 385 respondents determined using G*Power software. Constructs are developed based on previous research, and the questionnaire comprises Likert-scale items to gauge attitudes and perceptions. A pilot study assesses the instrument’s reliability. Data analysis is performed using SPSS software, encompassing multiple linear regression and Pearson correlation analyses in addition to descriptive statistics. The findings provide valuable insights into the factors driving residents’ perceptions of agrotourism in Seremban, emphasizing the importance of the natural environment, tourism infrastructure, perceived social benefits, and perceived barriers in shaping attitudes. Additionally, the study highlights the resilience of residents’ positive attitudes toward agrotourism, despite potential challenges and barriers identified. Overall, these results offer implications for policymakers and stakeholders involved in tourism development in the region.

Smallholder cocoa producers often experience low productivity levels, partly due to their weak collaborative advantage (CA). CA enables businesses to optimize outcomes through effective collaboration within value chains. This paper aims at examining the effect of CA pillars (trust building, resource investment, and decision synchronization) on the productivity. This paper uses primary data of 406 samples from smallholder cocoa producers in Indonesia. The data is analyzed by using CDM (Crepon Duguet Mairesse) model that divides the CA process into three stages: effort, output, and productivity. In the first stage, our model shows that having motivation to collaborate positively affects collaborative effort expenditure to develop a CA. In the second stage, the study finds that the three pillars of CA have to some degree contributes to achieving a better access to finance, superior cocoa seeds, and cocoa processing technology for smallholder cocoa producers. In the third stage, acquiring the outputs of CA leads to productivity improvement. The findings underscore the significance of intangible factors in shaping robust Collaborative Advantage (CA) and influencing productivity. This enriches CA theory, which has traditionally focused primarily on tangible factors.

Sanitation challenges are growing at unprecedented rates in the Middle East and North Africa (MENA) region, specifically in the country of Jordan, where more adversities are faced in the provision of inclusive and sustainable sanitation for marginalized communities. The overloaded water supply systems, strained by high population density in the face of political instability manifests itself in poor public health. How countries in the MENA region plan to handle these problems and improve the sanitation infrastructure is the starting point for this work. We aim to develop a comprehensive and multidisciplinary framework between stakeholders, aligned with the Sustainable Development Goals (SDGs), with a specific emphasis on SDG 6, for providing feasible, community-oriented approaches to sanitation issues in disenfranchised communities in Jordan through the Initiative Sanitation and Hygiene Networking in Jordanian Poverty Pockets (ISNJO) project. The findings will be used to formulate strategic guidelines and inform the development and subsequent initiation of innovative and multidisciplinary initiatives to tackle the sanitation and water scarcity challenges at hand.

Shipbuilding industry is characterized by high price competition, as well as tight deadlines for product design and production. The dominant positions in the civil shipbuilding market are occupied by the countries of Southeast Asia, and for a number of reasons, participants from other countries are uncompetitive. Thus, in order to ensure the sustainable development of companies in the global civil shipbuilding market, it is necessary to identify and analyze the main factors that provided the competitive advantages of industry leaders. Assessment of further directions of shipbuilding development is a necessary condition for the formation of competitive advantages of new market participants. The article analyzes the main directions of development of the world civil shipbuilding in the period after World War II, as well as prospects for the future. As a result of the analysis of the latest organizational management concepts, the concept of modular production in shipbuilding is proposed, and directions for further research are determined.

Massive open online courses (MOOCs) are intentionally designed to be easily accessible to many learners, regardless of their academic level or age. MOOCs leverage internet-based technology, allowing anybody with an internet connection to have unrestricted access, regardless of their location or time limitations. MOOCs provide a versatile and easy opportunity for acquiring top-notch education, enabling anyone to learn at their preferred speed, free from limitations of time, cost, or geographical location. Given the advantages they offer, MOOCs are a valuable method for improving the quality and availability of education in Indonesia. Following the outbreak of the COVID-19 pandemic, colleges and institutions have implemented the establishment of digital campuses. One important characteristic of these digital campuses is that they prioritize processes but overlook data and lack standardized standards. The problems and fundamental causes include challenges related to the comprehensive information architecture. The main factor contributing to this challenge is the absence of uniform and well-defined information standards. The existing connectivity and data exchange mechanisms in several schools are poor, leading to substantial data discrepancy among various departments due to the limited content of the fundamental data utilized. Moreover, the absence of clear information about the reliable source of data exacerbates the problem. The main objectives of data governance are to improve data quality, eliminate data inconsistencies, promote extensive data sharing, utilize data aggregation for competitive benefits, supervise data modifications based on data usage patterns, and comply with internal and external regulations and agreed-upon data usage standards. The aim of this project is to create a data governance framework that is customized to the specific conditions in Indonesia, with a specific emphasis on MOOC providers. The researcher chose design science research (DSR) as the research paradigm as it can successfully tackle relevant issues linked to the topic by creating innovative artefacts about the data governance framework for MOOC providers in Indonesia. This research highlights the necessity and significance of implementing a data governance framework for MOOC providers in Indonesia, hence increasing their awareness of this requirement. The researchers incorporated components from the data management body of knowledge (DMBOK) into their data governance framework. This framework includes ten components related to data governance, which are further divided into sub-components within the MOOC providers’ framework.