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This paper aims to underscore major opportunities for shared value innovation based on data management efficiency, which has often been overlooked so far. By integrating prior research about digital transformation, shared value creation, entrepreneurial marketing and the innovation-based view of firm performance, it addresses a major gap in the literature.

The innovation-based arguments illustrate how efficient data management may lead to different types of innovation, which provide opportunities for growth and efficiency gains after the coronavirus pandemic.

Many companies’ digitalization programs have concentrated on strengthening the efficiency of current business processes. Thus, these initiatives have contributed to the efficiency of traditional analog activities by using data and smart algorithms. In contrast, the efficiency of the underlying data management was largely neglected, but the COVID-19 pandemic has highlighted its importance. To overcome the limited emphasis on sustainability and efficiency in the digital context, this paper focuses on data management efficiency. After detailing this concept, it is linked to the growing literature about creating shared value, and a process segmentation for implementing shared value innovations in the field of digital efficiency is developed.

The paper extends research into digital transformation by emphasizing that the distinction of effectiveness and efficiency is as relevant in the digital context as in the traditional analog environment. It further provides new insights into creating shared value because it increases the awareness of researchers and managers to consider data management efficiency as a basis for shared value innovation with positive effects on the triple bottom line. The paper also contributes to entrepreneurial marketing research because data management efficiency provides significant opportunities for entrepreneurs, startup firms and innovators in established organizations to develop entirely new markets based on new services, solutions and business models. Finally, the paper deepens the understanding of the innovation-based view of firm performance.

This paper aims to critically examine the accounting and information systems literature to understand the changes that are occurring in the management accounting profession. The changes the authors are interested in are linked to technology-driven innovations in managerial decision-making and in organizational structures. In addition, the paper highlights research gaps and opportunities for future research.

The authors adopted a grounded theory literature review method (Wolfswinkel et al., 2013) to achieve the study’s aims.

The authors identified four research themes that describe the changes in the management accounting profession due to technology-driven innovations: structured vs unstructured data, human vs algorithm-driven decision-making, delineated vs blurred functional boundaries and hierarchical vs platform-based organizations. The authors also identified tensions mentioned in the literature for each research theme.

Previous studies display a rather narrow focus on the role of digital technologies in accounting work and new competences that management accountants require in the digital era. By contrast, the authors focus on the broader technology-driven shifts in organizational processes and structures, which vastly change how accounting information is collected, processed and analyzed internally to support managerial decision-making. Hence, the paper focuses on how management accountants can adapt and evolve as their organizations transition toward a digital environment.

The aim of this paper was to explore digital preservation requirements within the wider National Geoscience Data Centre (NGDC) organisational framework in preparation for developing a preservation policy and integrating associated preservation workflows throughout the existing research data management processes. This case study is based on an MSc dissertation research undertaken at Northumbria University.

This mixed methods case study used quantitative and qualitative data to explore the preservation requirements and triangulation to strengthen the design validity. Corporate and the wider scientific priorities were identified through literature and a stakeholder survey. Organisational preparedness was investigated through staff interviews.

Stakeholders expect data to be reliable, reusable and available in preferred formats. To ensure digital continuity, the creation of high-quality metadata is critical, and data depositors need data management training to achieve this. Recommendations include completing a risk assessment, creating a digital asset register and a technology watch to mitigate against risks.

The main constraint in this study is the lack of generalisability of results. As the NGDC is a unique organisation, it may not be possible to generalise the organisational findings, although those relating to research data management may be transferrable.

This research examines the specific nature of geoscience data retention requirements and looks at existing NGDC procedures in terms of enhancing digital continuity, providing new knowledge on the preservation requirements for a number of national datasets.

The application of digital twins to optimise operations and supply chain management functions is a bourgeoning practice. Scholars have attempted to keep pace with this development initiating a fast-evolving research agenda. The purpose of this paper is to take stock of the emerging research stream identifying trends and capture the value potential of digital twins to the field of operations and supply chain management.

In this work we employ a bibliometric literature review supported by bibliographic coupling and keyword co-occurrence network analysis to examine current trends in the research field regarding the value-added potential of digital twin in operations and supply chain management.

The main findings of this work are the identification of four value clusters and one enabler cluster. Value clusters are comprised of articles that describe how the application of digital twin can enhance supply chain activities at the level of business processes as well as the level of supply chain capabilities. Value clusters of production flow management and product development operate at the business processes level and are maturing communities. The supply chain resilience and risk management value cluster operates at the capability level, it is just emerging, and is positioned at the periphery of the main network.

This is the first study that attempts to conceptualise digital twin as a dynamic capability and employs bibliometric and network analysis on the research stream of digital twin in operations and supply chain management to capture evolutionary trends, literature communities and value-creation dynamics in a digital-twin-enabled supply chain.

Disaster management is an issue that has received relatively little attention in libraries, particularly in India. With the growth in digital resources in libraries, it is necessary for librarians to understand and apply the ways of protecting digital data and the related equipment from disaster. The purpose of this paper is to address the issues related to digital data protection in libraries in India. It aims to investigate the perceptions of librarians about the probability of digital disasters happening in their libraries, and to assess the level of digital disaster preparedness among libraries.

A questionnaire based survey of 276 libraries in the Western region of India was conducted to find out the digital data protection measures taken by them. The paper provides an overview and analysis of the general trends in digital data protection in these libraries.

The research results indicate that due to lack of knowledge about handling of digital data, and inadequate digital infrastructure setup in organizations, the chances of loss of digital data are high. However, common measures like taking backup of data manually are mostly followed by all libraries. The paper has identified the trends in protection of digital data, as well as the lacunae, in Indian libraries. Basic guidelines on digital data preservation are also presented in the paper.

The guidelines provided in the paper will be useful to any libraries to take measures for protection of the digital data. The libraries will be able to prepare their digital data protection plan and train the staff accordingly.

This paper is the first to address the issue of digital disaster management in libraries in India. It provides a detailed analysis of digital data protection measures taken by Indian libraries currently.

The effect of the transition toward digital technologies on today’s businesses (i.e. Industry 4.0 transition) is becoming increasingly relevant, and the number of studies that have examined this phenomenon has grown rapidly. However, systematizing the existing findings is still a challenge, from both a theoretical and a managerial point of view. In such a setting, the knowledge management (KM) discipline can provide guidance to address such a gap. Indeed, the implementation of fundamental digital technologies is reshaping how firms manage knowledge. Thus, this study aims to critically review the existing literature on Industry 4.0 from a KM perspective.

First, the authors defined a structuring framework to highlight the role of Industry 4.0 transition along with absorptive capacity (ACAP) processes (acquisition, assimilation, transformation and exploitation), while specifying what is being managed, that is data, information and/or (actual) knowledge, according to the data-information-knowledge (DIK) hierarchy. The authors then followed the systematic literature review methodology, which involves the use of explicit criteria to select publications to review and outline the stages a process has to follow to provide a transparent and replicable review and to analyze the existing literature according to the theoretical framework. This procedure yielded a final list of 150 papers.

By providing a clear picture of what scholars have studied so far on Industry 4.0 transition, in terms of KM, this literature review highlights that among all the studied digital technologies, the big data analytics technology is the one that has been explored the most in each phase of the ACAP process. A constructive body of research has also emerged in recent years around the role played by the internet of things, especially to explain the acquisition of data. On the other hand, some digital technologies, such as cyber security and smart manufacturing, have largely remained unaddressed. An explanation of the role of these technologies has been provided, from a KM perspective, together with the business implications.

This study is one of the first attempts to revise the literature on Industry 4.0 transition from a KM perspective, and it proposes a novel framework to read existing studies and on which to base new ones. Furthermore, the synthesis makes two main contributions. First, it provides a clear picture of the different digital technologies that support the four ACAP phases in relation to the DIK hierarchy. Accordingly, these results can emphasize what the literature has looked at so far, as well as which digital technologies have gained the most attention and their impacts in terms of KM. Second, the synthesis provides prescriptive considerations on the development of future research avenues, according to the proposed research framework.

The purpose of this paper is to define and describe digital curation, an emerging field of theory and practice in the information professions that embraces digital preservation, data curation, and management of information assets over their lifecycle. It dissects key issues and debates in the area while arguing that digital curation is a vital strategy for dealing with the so-called data deluge.

This paper explores digital curation’s potential to provide an improved return on investment in data work.

A vital counterweight to the problem of data loss, digital curation also adds value to trusted data assets for current and future use. This paper unpacks data, the research enterprise, the roles and responsibilities of digital curation professionals, the data lifecycle, metadata, sharing and reuse, scholarly communication (cyberscholarship, publication and citation, and rights), infrastructure (archives, centers, libraries, and institutional repositories), and overarching issues (standards, governance and policy, planning and data management plans, risk management, evaluation, and metrics, sustainability, and outreach).

A critical discussion that focusses on North America and the UK, this paper synthesizes previous findings and conclusions in the area of digital curation. It has value for digital curation professionals and researchers as well as students in library and information science who may deal with data in the future. This paper helps potential stakeholders understand the intellectual and practical framework and the importance of digital curation in adding value to scholarly (science, social science, and humanities) and other types of data. This paper suggests the need for further empirical research, not only in exploring the actual sharing and reuse practices of various sectors, disciplines, and domains, but also in considering the the data lifecycle, the potential role of archivists, funding and sustainability, outreach and awareness-raising, and metrics.

This research is motivated to explore communication professionals' understanding of the digital changes brought by the Industry 4.0 revolution and how such changes may affect the strategies and skills expected in effective communication management. A specific focus of the research is to define the concept of Readiness for Industry 4.0 in communication and propose a theoretical framework to address the key dimensions of Readiness for Industry 4.0 as related to communication management.

A mixed research design was employed to fulfill the goal of this research. First, the authors took a grounded theory approach in proposing, conceptualizing and constructing the concept of Readiness for Industry 4.0 by reviewing a wider literature on technology and communication. As part of the conceptualization process, the authors proposed five dimensions which encompass the complexity of building capacity in communication practice to effectively manage changes associated with Industry 4.0. Second, the authors used a qualitative research method, in-depth interviews, to gain insights from 16 senior communication professionals working in South Korea.

The study’s interview results confirmed the challenge in finding a universal definition of Readiness for Industry 4.0, even though the interviewed senior communication professionals have widely recognized the changes in the workplace brought by the Industry 4.0. Our interviewees agreed that their mindset is ready for the changes. However, they addressed the need for communication professionals to continue to learn and build their knowledge and skills from multiple perspectives. More specifically, skill sets and knowledge in cognitive analytics, data management, technology literacy, sense making skills for digital transformation and digital competencies in crisis management are desired and necessary.

This research advances theory building in communication management by addressing the importance of digital competencies in the workplace. By proposing a theoretical framework to explain the Readiness for Industry 4.0, this article contributes to our knowledge of digital transformation and its impact on effective communication. Moreover, by having deep conversations with industry leaders who are in the forefront of managing the challenges associated with technology advancement, this article enriches its practical implications by linking the discussion to the proposed theoretical framework.

The purpose of this article is to provide an overview of development and recent focus on digital curation and ties it to larger cyberinfrastructure initiatives.

Provides a useful viewpoint on the development and recent focus on digital curation.

Digital curation is the active involvement of information professionals in the management, including the preservation, of digital data for future use. While there have been people doing different aspects of data curation and digital preservation for decades, recent events have brought a number of ideas, organizations, and individuals together to focus more intently on digital curation. Reports in the US by the National Science Foundation and the American Council of Learned Societies and in the UK by Dr Liz Lyon of UKOLN have pointed out the aspects of digital curation which need to be in place to ensure that digital objects can be maintained, preserved, and remain available for future use. These reports along with increased research focus at conferences and the emergence of new educational programs have led to the emergence of digital curation and made digital curators a new entry into the information professions. Increasingly, digital curation is becoming an umbrella concept that includes digital preservation, data curation, electronic records management, and digital asset management.

This article discusses and defines digital curation and notes how this theme has permeated in recent reports, conferences, and educational offerings.

The article synthesizes current digital curation efforts and helps to define this new concept for information professionals.

This paper aims to create a new searchable 3D city model to help managers improve their decision-making.

This paper identifies data management basics and the key elements used in the new model design; it further analyzes five-city models, presents its findings and proposes analytical trends for the new model. It discusses the concepts underlying existing models, explains the benefit brought by the proposed model and demonstrates its robustness.

City systems can be interconnected, thanks to data digitization and the integration of new technologies into different management processes. Although there are several 3D city models available, none of those identified in this research can be queried for several sectors.

This model design can only be successfully realized in the presence of a public mandate. Potential limitations include information security risks and political non-acceptance.

The present work proposes a searchable and high performance model having the distinctive capacity to bring together city systems and perform real-time data analysis in order to extract important information needed to guide the city, and in the context of a global vision.