Internet Predictions

More than a dozen leading experts give their opinions on where the Internet is headed and where it will be in the next decade in terms of technology, policy, and applications. They cover topics ranging from the Internet of Things to climate change to the digital storage of the future. A summary of the articles is available in the Web extras section

Digital economy and internationalization

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Forth Industrial Revolution (4 IR) : digital disruption of cyber-physical systems

Article focus of the disruptive character of technological innovations brought by Fourth Industrial Revolution (4IR), withits unprecedented scale and scope, and exponential speed of incoming innovations, described from the point view of 'unintended consequences' (cross cutting impact of disruptive technologies across many sectors and aspects of human life). With integration of technology innovations emerging in number of fields including advanced robotics, pervasive computing, artificial intelligence, nano-and bio-technologies, additive and smart manufacturing, Forth Industrial Revolution introduce new ways in which technology becomes embedded not only within the society, economy and culture, but also within human body and mind (described by integration of technologies, collectively referred to as cyber-physical systems). At the forefront of digital transformation, based on cyber physical systems, stands Industry 4.0, referring to recent technological advances, where internet and supporting technologies (embedded systems) are serving as framework to integrate physical objects, human actors, intelligent machines, production lines and processes across organizational boundaries to form new kind of intelligent, networked value chain, called smart factory. Article presents broader context of 'disruptive changes (innovations)' accompanying 4IR, that embrace both economical perspective of 'broaderrestructuring' of modern economy and society (described in second part of the article as transition from second to third and forth industrial revolution), and technological perspective of computer and informational science with advances in pervasive computing, algorithms and artificial intelligence (described in third part of article with different stages of web development : web 1.0, web 2.0, web 3.0, web 4.0). What's more important, article presents hardly ever described in literature, psychological and philosophical perspective, more or less subtle reconfiguration made under the influence of these technologies, determining physical (body), psychological (mind) and philosophical aspect of human existence (the very idea of what it means to be the human), fully depicted in the conclusion of the article. The core element (novelty) is the attempt to bring full understanding and acknowledgment of disruptive innovations', that "change not only of the what and the how things are done, but also the who we are", moving beyond economical or technological perspective, to embrace also psychological and philosophical one

Service research priorities in a rapidly changing context

The context in which service is delivered and experienced has, in many respects, fundamentally changed. For instance, advances in technology, especially information technology, are leading to a proliferation of revolutionary services and changing how customers serve themselves before, during, and after purchase. To understand this changing landscape, the authors engaged in an international and interdisciplinary research effort to identify research priorities that have the potential to advance the service field and benefit customers, organizations, and society. The priority-setting process was informed by roundtable discussions with researchers affiliated with service research centers and networks located around the world and resulted in the following 12 service research priorities: • stimulating service innovation, • facilitating servitization, service infusion, and solutions, • understanding organization and employee issues relevant to successful service, • developing service networks and systems, • leveraging service design, • using big data to advance service, • understanding value creation, • enhancing the service experience, • improving well-being through transformative service, • measuring and optimizing service performance and impact, • understanding service in a global context, and • leveraging technology to advance service. For each priority, the authors identified important specific service topics and related research questions. Then, through an online survey, service researchers assessed the subtopics’ perceived importance and the service field’s extant knowledge about them. Although all the priorities and related topics were deemed important, the results show that topics related to transformative service and measuring and optimizing service performance are particularly important for advancing the service field along with big data, which had the largest gap between importance and current knowledge of the field. The authors present key challenges that should be addressed to move the field forward and conclude with a discussion of the need for additional interdisciplinary research

Big data for monitoring educational systems

This report considers “how advances in big data are likely to transform the context and methodology of monitoring educational systems within a long-term perspective (10-30 years) and impact the evidence based policy development in the sector”, big data are “large amounts of different types of data produced with high velocity from a high number of various types of sources.” Five independent experts were commissioned by Ecorys, responding to themes of: students' privacy, educational equity and efficiency, student tracking, assessment and skills. The experts were asked to consider the “macro perspective on governance on educational systems at all levels from primary, secondary education and tertiary – the latter covering all aspects of tertiary from further, to higher, and to VET”, prioritising primary and secondary levels of education

Perspectives of academics and practitioners on design thinking

Design thinking has attracted a significant amount of interest and attention from the non-design sector in areas such as finance, government services and transport. This has resulted in new definitions that appear to describe design thinking as the mythical process that generates innovation and as a result, creating confusion and causing some to question its meaning. Research was undertaken to explore the possible knowledge gap that exists between academic and practitioner understanding of design thinking and its practical application. The relationship between the two has been articulated and a data driven model of design thinking created to further understanding of the meaning of design thinking. Firstly, an initial literature review was conducted to examine the origins, ownership and relationship between design thinking and four other related terms. Secondly, four common characteristics of design thinking were identified from projects reported by academics and practitioners as examples of the application of design thinking. The literature review provided the point of departure for the design of the empirical research instrument (RI). From the initial literature review four common characteristics of design thinking was identified; they were: drivers , experts , impact and processes . The research methodology employed constructivist grounded theory using a multi-qualitative method to maximise the capacity to gather high quality data. Pilot studies were conducted internally to test out the research instrument. From the pilot studies an additional common characteristic identified: design problem , being traditional or non-traditional. Following the pilot studies, primary data collection methods of interviews and online survey were employed. A total of 56 participants took part in the study, the participants who took part were academics and design practitioners from around the world. A total of 13 interviews were conducted and 43 survey responses were collected. The interviews and online survey used in data collection formed two stages of a triangulation strategy that was used to explore all the research questions. ii Two data sets were created from the interviews and online survey, which were analysed by thematic analysis and content analysis. From the thematic analysis, the five common characteristics identified from the literature review and pilot studies were confirmed; two additional common characteristics were identified as multidisciplinary and knowledge . Content analysis was conducted to identify evidence to describe the 7 common characteristics identified. Furthermore, the modes of expression for design thinking were also identified from the data in order to explore its relationship to design education. Case study analysis was the third stage of the triangulation strategy employed. It was conducted to check the reliably of the findings. This involved three design school case studies and three practice-based case studies of which two were for product designs and one was for service design. A qualitative data model of design thinking was developed to present the findings of the research. The research was then validated by a PhD seminar at Lancaster University and a validation study with experienced design practitioners. A final literature review was conducted after the validation studies to compare the research findings to the most recently published literature. From the literature review and validation studies, any appropriate findings were incorporated into the theory constructed

ERP implementation methodologies and frameworks: a literature review

Enterprise Resource Planning (ERP) implementation is a complex and vibrant process, one that involves a combination of technological and organizational interactions. Often an ERP implementation project is the single largest IT project that an organization has ever launched and requires a mutual fit of system and organization. Also the concept of an ERP implementation supporting business processes across many different departments is not a generic, rigid and uniform concept and depends on variety of factors. As a result, the issues addressing the ERP implementation process have been one of the major concerns in industry. Therefore ERP implementation receives attention from practitioners and scholars and both, business as well as academic literature is abundant and not always very conclusive or coherent. However, research on ERP systems so far has been mainly focused on diffusion, use and impact issues. Less attention has been given to the methods used during the configuration and the implementation of ERP systems, even though they are commonly used in practice, they still remain largely unexplored and undocumented in Information Systems research. So, the academic relevance of this research is the contribution to the existing body of scientific knowledge. An annotated brief literature review is done in order to evaluate the current state of the existing academic literature. The purpose is to present a systematic overview of relevant ERP implementation methodologies and frameworks as a desire for achieving a better taxonomy of ERP implementation methodologies. This paper is useful to researchers who are interested in ERP implementation methodologies and frameworks. Results will serve as an input for a classification of the existing ERP implementation methodologies and frameworks. Also, this paper aims also at the professional ERP community involved in the process of ERP implementation by promoting a better understanding of ERP implementation methodologies and frameworks, its variety and history