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The purpose of this paper is to appreciate the futuristic trends of Big and Open Linked Data (BOLD). While designating the ongoing progress of BOLD as BOLD 0.0, the paper also identifies the trajectory of BOLD 0.0 as BOLD 1.0, BOLD 2.0 and BOLD 3.0 in terms of the complexity and management of data sets from different sources.

This is a viewpoint and the ideas presented here are personal.

The trajectory of BOLD shall witness ever-growing challenges as the nature and scope of data sets grow complicated. The paper posits that by the time BOLD would attain its maturity, there would be a need for newer technologies and data architecture platforms which are relatively affordable and available as “Open Source”, if possible.

Being exploratory in approach, this viewpoint presents a futuristic trend, which may or may not be valid. Nevertheless, there are significant practical implications for the academicians and practitioners to appreciate the likely challenges in the coming times for ensuring the sustainability of BOLD.

While there are a number of studies on BOLD, there are no studies which seek to propose the possible trends in BOLD’s progress. This paper seeks to plug this gap.

With the progressive trends in Open Data, this paper aims to underscore the significance of Open Linked Statistical Data (OLSD) and identifies the trajectory of development of OLSD besides underlining the prospects and challenges underlying OLSD.

Being exploratory in nature, this viewpoint seeks to present a trajectory of OLSD which seeks to emphasize upon the futuristic trend in the development of OLSD.

Eight stages have been identified in the OLSD trajectory. The opening of more and more data results in new possibilities for combining data and gaining new insights. In the future, data will automatically be opened and streamed and could be used in using OLSD algorithms. Algorithms will mention the shortcomings and limitations of data and help to interpret the data in such a way that the user is in the driver’s seat.

While the paper follows an exploratory approach, there are a couple of implications for the practitioners and academicians. For instance, government may become more accountable with the adoption of advanced OLSD algorithms. Further research on OLSD may be required in appreciating the impact of OLSD in different settings, and this would be helpful in providing novel insights to the concerned stakeholders.

While Big and Open Linked Data (BOLD) has gained prominence in academic research, the focus on OLSD has remained scanty. This paper seeks to underline the futuristic trends in OLSD.

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

Linked data is a technical standard to structure complex information and relate independent sets of data. Recently, governments have started to use this technology for bridging separated data “(silos)” by launching linked open government data (LOGD) portals. The purpose of this paper is to explore the role of LOGD as a smart technology and strategy to create public value. This is achieved by enhancing the usability and visibility of open data provided by public organizations.

In this study, three different LOGD governance modes are deduced: public agencies could release linked data via a dedicated triple store, via a shared triple store or via an open knowledge base. Each of these modes has different effects on usability and visibility of open data. Selected case studies illustrate the actual use of these three governance modes.

According to this study, LOGD governance modes present a trade-off between retaining control over governmental data and potentially gaining public value by the increased use of open data by citizens.

This study provides recommendations for public sector organizations for the development of their data publishing strategy to balance control, usability and visibility considering also the growing popularity of open knowledge bases such as Wikidata.

The study here examines how business actors adapt to changes in networks by analyzing their perceptions or their network pictures. The study is exploratory or iterative in the sense that revisions occur to the research question, method, theory, and context as an integral part of the research process.

Changes within networks receive less research attention, although considerable research exists on explaining business network structures in different research traditions. This study analyzes changes in networks in terms of the industrial network approach. This approach sees networks as connected relationships between actors, where interdependent companies interact based on their sensemaking of their relevant network environment. The study develops a concept of network change as well as an operationalization for comparing perceptions of change, where the study introduces a template model of dottograms to systematically analyze differences in perceptions. The study then applies the model to analyze findings from a case study of Norwegian/Japanese seafood distribution, and the chapter provides a rich description of a complex system facing considerable pressure to change. In-depth personal interviews and cognitive mapping techniques are the main research tools applied, in addition to tracer studies and personal observation.

The dottogram method represents a valuable contribution to case study research as it enables systematic within-case and across-case analyses. A further theoretical contribution of the study is the suggestion that network change is about actors seeking to change their network position to gain access to resources. Thereby, the study also implies a close relationship between the concepts network position and the network change that has not been discussed within the network approach in great detail.

Another major contribution of the study is the analysis of the role that network pictures play in actors' efforts to change their network position. The study develops seven propositions in an attempt to describe the role of network pictures in network change. So far, the relevant literature discusses network pictures mainly as a theoretical concept. Finally, the chapter concludes with important implications for management practice.

Using the backdrop of an (apparently) extended visit to the West Indies, analogies with key concerns of internal audit are drawn. An unusual and refreshing way of exploring the main themes ‐ a discussion between Bill and Jack on tour in the islands ‐ forms the debate. Explores the concepts of control, necessary procedures, fraud and corruption, supporting systems, creativity and chaos, and building a corporate control facility.

Using the backdrop of an (apparently) extended visit to the West Indies, analogies with key concerns of internal audit are drawn. An unusual and refreshing way of exploring the main themes ‐ a discussion between Bill and Jack on tour in the islands ‐ forms the debate. Explores the concepts of control, necessary procedures, fraud and corruption, supporting systems, creativity and chaos, and building a corporate control facility.

This chapter considers the challenges and potentials of using so called big data in communication research. It asks what lessons big data research can learn from digital ethnography, another method of gathering digital data.

The chapter first takes on the task of clearly defining big data in the context of communication and media studies. It then moves on to analyse and critique processes associated with the dealings of big data: datafication and dataism. The challenges of data-driven research are juxtaposed with qualitative perspectives on research regarding data gathering and context. These thoughts are further elaborated in the second part of the chapter where the lessons learned in digital ethnography are linked to challenges of big data research.

It is proposed that by including the materialities of contexts and transitions between material and mediated realms, we can ask more relevant research questions and gain more insights compared to a purely data-driven approach.

This chapter encourages researchers to reflect upon their relations to the object of study and the context in which data was produced through human/human–technical interaction.

This chapter contributes to debates about qualitative and quantitative research methods in communication and media studies. Moreover, it proposes that methods which are in the widest sense used in the never-ending digital field benefit from the mutual consideration of both qualitative and quantitative approaches.