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Data communications is a relatively neglected topic, which is surprising as it offers the infrastructural platform that can help to provide organizations with flexibility and responsiveness. DataComms 2000 explores the business themes and issues, and technology drivers and focus that will shape the industry. Explores the perspectives of a range of different actors.

Big data and analytics make digital communications more effective, but little is known about how institutional pressures shape data-driven communications. These pressures determine and constrain how, what, when and to whom practitioners should communicate. This empirical study explores how institutional forces influence the use of data in guiding digital communications. The paper identifies factors that impact communications and shape practitioner views on particular tools in their day-to-day work.

This study uses a qualitative exploratory approach with in-depth interviews of 15 Australian communication practitioners through the lens of neo-institutional theory. Thematic analysis was applied to identify three main themes.

Communications professionals disclosed how they were influenced by coercive institutional forces such as ambiguous data privacy regulations, normative forces that shaped ethical concerns, professionalism and various challenges, and mimetic forces that determined shared methods and implementation of digital communications technologies such as analytics. Furthermore, the authors reveal how analytics – tools typically associated with uncertainty and mimetic influences – exert coercive pressures that could lead to misguided decision-making.

This study’s findings highlight the need for practitioners to learn more about the inner workings of analytics tools and for managers to determine if the perceived benefits of these solutions outweigh any undesirable effects.

The study contributes to extant research on digitalization in strategic communication by providing new insights into practitioner views and challenges with digital communications technologies.

Despite the considerable effects of institutional pressures, this study is the first to explore the impacts of data-driven communications at the level of individual practitioners. The paper advances neo-institutional theory in public relations (PR), strategic communication and corporate communications at the micro level.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

The purpose of this article is to contribute to our stock of knowledge about who uses networks, how they are used, and what contribution the networks make to advancing the scientific enterprise. Between 1985 and 1990, the Survey of Income and Program Participation (SIPP) ACCESS data facility at the University of Wisconsin‐Madison provided social scientists in the United States and elsewhere with access through the electronic networks to complex and dynamic statistical data; the 1984 SIPP is a longitudinal panel survey designed to examine economic well‐being in the United States. This article describes the conceptual framework and design of SIPP ACCESS; examines how network users communicated with the SIPP ACCESS project staff about the SIPP data; and evaluates one outcome derived from the communications, the improvement of the quality of the SIPP data. The direct and indirect benefits to social scientists of electronic networks are discussed. The author concludes with a series of policy recommendations that link the assessment of our inadequate knowledge base for evaluating how electronic networks advance the scientific enterprise and the SIPP ACCESS research network experience to the policy initiatives of the High Performance Computing Act of 1991 (P.L. 102–194) and the related extensive recommendations embodied in Grand Challenges 1993 High Performance Computing and Communications (The FY 1993 U.S. Research and Development Program).

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

In the Web 2.0 era, users massively communicate through social networking services (SNS), often under false expectations that their communications and personal data are private. This paper aims to analyze privacy requirements of personal communications over a public medium.

This paper systematically analyzes SNS services as communication models and considers privacy as an attribute of users’ communication. A privacy threat analysis for each communication model is performed, based on misuse scenarios, to elicit privacy requirements per communication type.

This paper identifies all communication attributes and privacy threats and provides a comprehensive list of privacy requirements concerning all stakeholders: platform providers, users and third parties.

Elicitation of privacy requirements focuses on the protection of both the communication’s message and metadata and takes into account the public–private character of the medium (SNS platform). The paper proposes a model of SNS functionality as communication patterns, along with a method to analyze privacy threats. Moreover, a comprehensive set of privacy requirements for SNS designers, third parties and users involved in SNS is identified, including voluntary sharing of personal data, the role of the SNS platforms and the various types of communications instantiating in SNS.

Only a small proportion of large companies has taken the step of appointing a communications manager; and frequently the rôle is limited to co‐ordinating the communications load that already exists within the organization.

This research examines the importance of measurement in the communications industry and business in general, the insufficiency of measurement in communications, how communications professionals' measurement needs are changing, obstacles to meeting measurement needs, and the potential benefits from understanding the link between intangibles and business value.

Research methods used to link communications activities to business outcomes included statistical analysis (collecting, evaluating, and drawing conclusions from data) of intangible assets, or non‐accounting, non‐financial business drivers such as people, ideas and relationships. Measurement data was based on information companies already owned, including media content analysis data and employee survey results.

Pilot studies have demonstrated that this model will provide greater insight into how intangibles such as communication activities contribute to business outcomes that matter to senior management and will eliminate the obstacles to measurement – concerns about expense, fear of results, and isolation of the effect of individual activities.

This discussion is essential to understanding that the communications industry in particular and corporations as a whole need a way to add meaning to the data they already have; to link existing data to business outcomes; and to demonstrate that effective communications activities and other intangibles move organizations toward their business objectives.

The following bibliography focuses mainly on programs which can run on IBM microcomputers and compatibles under the operating system PC DOS/MS DOS, and which can be used in online information and documentation work. They fall into the following categories:

Keeping track of users' communication activities in web‐based environments has always been considered a complex task. It requires tracking systems that are capable of efficiently tracking users' activities and producing tracking data that can be useful to various users. The objectives of this paper are two‐fold: to present an approach for better observing the different levels of human and computer interactions (HCI) during a computer‐mediated communication (CMC) activity; and to present the technical aspects of a web‐based tracking system for communication tools such as discussion forums.

The research applications are applied to educational settings. Three cases of experiments with result analysis will also be presented. The paper studied different CMC tools. With the participation of researchers from different disciplines, including HCI and e‐learning specialists, we adopted the 5W1H method (When, Where, Who, What, Why, and How) and a participative method to build the approach. The result of the experiments and users' feedback allowed us to evaluate the approach.

An approach for efficiently tracking users' communication activities on CMC tools, by looking very closely at the different levels of HCI is shown. This paper demonstrates how useful it is to have tracking data with finer granularity and to provide significant data indicators to the participants in the learning process.

The data indicators shown in this paper are computed based on the real needs of the participants in the learning process. The proposed approach can be implemented with any conceptual and development languages.

One of the particularities of this research is the approach for efficiently tracking CMC activities on both client and server sides. The quality of the tracking data from the three experiments shows the effectiveness of the system. Another contribution of this paper is a discussion of the important key issues related to the tracking data in learning environments.