Technology responsiveness for digital preservation: a model

Digital preservation may be defined as the cumulative actions undertaken by an organisation or individual to ensure that digital content is usable across generations of information technology. As technological change occurs, the digital preservation community must detect relevant technology developments, determine their implications for preserving digital content, and develop timely and appropriate responses to take full advantage of progress and minimize obsolescence. This thesis discusses the results of an investigation of technology responsiveness for digital preservation. The research produced a technology response model that defines the roles, functions, and content component for technology responsiveness. The model built on the results of an exploration of the nature and meaning of technological change and an evaluation of existing technology responses that might be adapted for digital preservation. The development of the model followed the six-step process defined by constructive research methodology, an approach that is most commonly used in information technology research and that is extensible to digital preservation research. This thesis defines the term technology responsiveness as the ability to develop continually effective responses to ongoing technological change through iterative monitoring, assessment, and response using the technology response model for digital preservation

The dynamics of the studies of China’s science, technology and innovation (STI): a bibliometric analysis of an emerging field

Since 1978, alongside China’s rise as a leading country in science, technology and innovation (STI), the studies of the country’s STI have been emerging as a field attracting increasing scholarly attention. Using the bibliometric method and the data from the Web of Science (WoS), this paper seeks to provide a comprehensive picture of the studies of China’s STI. The findings show that scholarly interests in China’s STI started in 1995 and have since developed rapidly; institutions in China, the U.S. and the U.K. are main contributors to the field, contributing 50%, 27.2% and 12% of the scholarship respectively, with Tsinghua University, Zhejiang University and the Chinese Academy of Sciences being three major institutional contributors. Seminal works have been focused on STI issues at the macro or national, meso or industrial and regional, and micro or organizational and firm levels. A possible agenda for further research is to develop new theories based on China’s practice paying specific attention to issues including R&D expenditure, S&T performance evaluation, regional innovation ecosystem, SOEs in innovation and the role of the Chinese Communist Party in innovation

3rd International Conference on Advanced Research Methods and Analytics (CARMA 2020)

Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information.As these sources, methods, and applications become more interdisciplinary, the 3rd International Conference on Advanced Research Methods and Analytics (CARMA) is an excellent forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges.Doménech I De Soria, J.; Vicente Cuervo, MR. (2020). 3rd International Conference on Advanced Research Methods and Analytics (CARMA 2020). Editorial Universitat Politècnica de València. http://hdl.handle.net/10251/149510EDITORIA

Unraveling the capabilities that enable digital transformation: A data-driven methodology and the case of artificial intelligence

Digital transformation (DT) is prevalent in businesses today. However, current studies to guide DT are mostly qualitative, resulting in a strong call for quantitative evidence of exactly what DT is and the capabilities needed to enable it successfully. With the aim of filling the gaps, this paper presents a novel bibliometric framework that unearths clues from scientific articles and patents. The framework incorporates the scientific evolutionary pathways and hierarchical topic tree to quantitatively identify the DT research topics’ evolutionary patterns and hierarchies at play in DT research. Our results include a comprehensive definition of DT from the perspective of bibliometrics and a systematic categorization of the capabilities required to enable DT, distilled from over 10,179 academic papers on DT. To further yield practical insights on technological capabilities, the paper also includes a case study of 9,454 patents focusing on one of the emerging technologies - artificial intelligence (AI). We summarized the outcomes with a four-level AI capabilities model. The paper ends with a discussion on its contributions: presenting a quantitative account of the DT research, introducing a process based understanding of DT, offering a list of major capabilities enabling DT, and drawing the attention of managers to be aware of capabilities needed when undertaking their DT journey