Articles

Bibiliometric Analysis of The Literature on Organizational Readiness: Mapping and Direction

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The COVID-19 pandemic is mostly responsible for the decline in business financial performance. It is believed that the company’s survival is contingent upon the organization’s readiness to integrate digital technology at the operational and strategic levels. Despite the abundance of literature in this field, there has been no empirical research to characterize previous studies or provide guidance for future studies that have a significant impact. Therefore, we have designed this investigation to fill this gap. The bibliometric analysis method employed in the research involves the initial step of conducting a search of the Scopus-indexed journal database using the title, abstract, and keywords “organizational readiness”, “readiness to change”, “digital maturity” or “digital capability”. We selected a total of 3528 articles from a pool of 93,307 by applying filters based on specific topics and time periods. Following this, we compiled the meta data using the Publish and Perish (PoP) program and generated research trend visualizations using Vosviewer. The research findings indicate that Parida, V., a Swedish writer, is the most productive. However, we discovered that the authors who published the most impactful articles were not necessarily the most prolific authors or countries. Following the COVID-19 pandemic, research on organizational readiness that can assist small and medium-sized businesses in gaining a competitive advantage and enhancing their value could be the next area of investigation.

Are The Independent Area of Beef Cattle Development Ready for Big Data to Reduce the Volume of Imports?

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Stakeholders find it difficult to make decisions for both breeders and supporting sectors due to unorganized agribusiness data on beef cattle, it seems very limited information on it. The activities related to this business have not been recorded well, from male selection, feed management, cultivation, as well as marketing and traceability—these factors have caused price disparities in meat to become commonplace. Thus, a model of breeder empowerment is needed through big data maturity. Data play a crucial role in the planning and development of agriculture and agribusiness. The results of the analysis on efforts to digitalize and integrate data on beef cattle business confirm that the progress stops at the Nascent phase. Data digitalization at the Agency for Agriculture Extension of Kediri is at the Nascent phase, while at the Department of Food Security and Livestock Service is in between the Nascent and pre-adoption phase. Data integration in other agencies, such as the Regional Central Bureau of Statistics of Kediri, the Regional Information and Communication Office of Kediri, and the Directorate General of Livestock, fall into the corporate adoption and mature phase. As can be seen, data have not been well-integrated within one interconnected system. The availability of such a model of data integration will be a good alternative in empowering breeders of beef cattle and the public sector, it will also find communication easier with the existence of the model. The government eventually will be able to better improve performance based on the digital data available.