The objective of this study is to examine the direct and indirect impact of Supply Chain and Knowledge-Oriented Leadership on the Performance of Village Financial System Operators and its consequences for the Level of Village Welfare. This study employed quantitative methodologies, using Saturation sampling techniques, and obtained a sample of 131 respondents who were village financial information system operators, consisting of 131 villages in Pringsewu Regency, Lampung Province, Indonesia. The data obtained from the surveys was further analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The findings of the research and data analysis indicate that: Knowledge-Oriented Leadership has a direct and substantial impact on the Performance of Village Financial System Operators. It also has a direct and substantial impact on the Village Welfare Level. The performance of the Village Financial System Operator has a direct and substantial impact on the Village Welfare Level. Additionally, the Supply Chain has a direct and substantial impact on the Performance of Village Financial System Operators and the Village Welfare Level; The performance of the Village Financial System Operator is able to partially mediate Supply Chain and Knowledge-Oriented Leadership on the Level of Village Welfare in Pringsewu Regency, Lampung Province, Indonesia, because the independent variable is able to significantly influence both directly and indirectly the dependent variable.

Innovation has become unavoidable choice for companies to survive. However, a high percentage of new products fail, which increase the risk of using innovative ideas. Therefore, to control and reduce the risk of introducing new products, most companies need to invent new products that can meet the customers’ real needs. Accordingly, customer must be the main source of the information through which the ideas of new products are generated. Having the knowledge about the market needs and trends is not enough as the knowledge needs to be translated into real products. Hence, capabilities, in this context, play a vital role to enhance product innovation performance of the organizations. Thus, this study investigates the role of manufacturing capabilities in enhancing the or-ganizations’ abilities to translate the ideas into the right product that can meet customers’ needs. Moreover, this paper discusses the link between customer knowledge management and developing manufacturing capabilities. The study is conducted in Malaysia, and uses the information of 134 manufacturing companies for the survey. Partial least square is used to obtain the results. The findings are discussed and compared with other results in the literature.

This research aims to analyze the direct and indirect influence of the use of Big Data and Cloud Computing Platforms on the smooth processing of financial accounting system data and its implications for the success of village development. This research used quantitative methods, using Saturation sampling techniques, and obtained a sample of 131 respondents who were village financial information system operators, consisting of 131 villages in Pringsewu Regency, Lampung Province, Indonesia. The data collected from the surveys was then analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The research and data analysis demonstrate that Cloud Computing Platforms significantly enhance the efficiency of processing financial accounting system data. Additionally, Cloud Computing Platforms have a direct and positive influence on the success of village development. Moreover, the efficient handling of financial accounting system data directly and significantly impacts the progress of village development. Furthermore, the application of Big Data has a direct and substantial impact on the effective processing of data in financial accounting systems, as well as on the achievement of success in village development. Ultimately, the efficient data processing of the Financial Accounting System serves as a partial intermediary between the utilization of Big Data and Cloud Computing Platforms, and the achievement of village development in Pringsewu Regency, Lampung Province, Indonesia. Because the independent variable is able to significantly influence both directly and indirectly the dependent variable.