Identifying potentially disruptive trends by means of keyword network analysis

Dotsika, Fefie; Watkins, Andrew

doi:10.1016/j.techfore.2017.03.020

Cited by 107 publications

(56 citation statements)

References 72 publications

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“…Moreover, we included reports from business analysts Gartner, IDC, and Forrester. These three business analysts have the largest influence on European customers as well as the most media coverage and financial attention among all industry analysts in the world (Ikeler, 2007;Dotsika and Watkins, 2017). Finally, we found industry reports that focused especially on the construction industry to ensure the identification of technologies from the targeted industry.…”

Section: Table 1 the Horizon Scanning Was Conducted In Three Stepsmentioning

confidence: 87%

Identifying Disruptive Technologies: Horizon Scanning in the Early Stages of Design

Ernstsen¹,

Thuesen²,

Larsen³

et al. 2018

Proceedings of the DESIGN 2018 15th International Design Conference

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Technology development is accelerating, driving disruption. Design is seen as key differentiator in creating innovative offerings but few design methods consider future technologies explicitly. In this article, we explore how a foresight method, namely horizon scanning, may be applied in a design context to anticipate disruption of construction. By means of a 3-step horizon scan, we identify 133 potentially disruptive technologies from across industries. We find that when preparing for disruption, design may benefit from the future-oriented and technology-focused features of horizon scanning.

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Section: Table 1 the Horizon Scanning Was Conducted In Three Stepsmentioning

confidence: 87%

Identifying Disruptive Technologies: Horizon Scanning in the Early Stages of Design

Ernstsen¹,

Thuesen²,

Larsen³

et al. 2018

Proceedings of the DESIGN 2018 15th International Design Conference

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show abstract

“…On the other hand, machine learning and image processing are influential (high betweeness) but not necessarily popular (low degree). From this special category, keywords with high closeness and low degree are central, noteworthy trends that have been recognised as either likely to keep trending, or having potentially significant future impact [11]. Big data, data fusion/integration and e-government have been identified as such themes here.…”

Section: Discussionmentioning

confidence: 99%

“…Network visualisation techniques and knowledge maps have been effective in theme and emergent trend discovery [14], [15]. Keyword network analysis has been successfully employed in the prediction and forecasting of emergent trends [9], [11]. In addition to these, the method was deemed most appropriate here due to its use of and focus on relational information to investigate and quantify structural properties [22].…”

Section: Methodology and Research Designmentioning

confidence: 99%

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Identifying trends and flows in communication and information processing by means of keyword network analysis

Dotsika

Watkins²

2017

Proceedings of the 3rd International Conference on Communication and Information Processing

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“…The study of the effect of previous, ongoing, and potential disruptive trends on a system's performance have been conducted on various fields, primarily with intention to maintain the competitive edge of a company ahead of its competitors. This edge involves having the knowledge to assign appropriate resources in a way that increases the chance of benefitting or mitigating the potential vulnerabilities from the existence of disruptive trends [12].…”

Section: Properties Of Disruptive Trendsmentioning

confidence: 99%

Adaptive Port Planning under Disruptive Trends with focus on the case of The Port of Kuala Tanjung, Indonesia

2018

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As a national strategic project, the Port of Kuala Tanjung draws significant attention at national and international level. Considering the semi-greenfield nature of the port, the diverse set of stakeholders, and the prevailing disruptive trends in the world port business, a robust first-phase port layout is required to kick-start the project and guarantee the overall sustainability of the port development. The objective of this research is to identify any uncertain or disruptive trends, both present and future, and access their implications towards the Port of Kuala Tanjung. Adaptive Port Planning (APP) framework a will be used as the main methodology in this research. A combination of a literature review and interviews with experts are used to both identify the sources of the uncertain and disruptive trends mentioned above and also to propose adaptation strategies. Based on our qualitative study and interviews with experts, we have concluded that the consolidation of major shipping lines, multi-nationality partnerships, Indonesian regulation, and ship breaking regulations are currently the four most relevant contributions to uncertain and disruptive trends towards the port. To mitigate potential risk and seize opportunity provided by these trends, an industrial port complex concept might become the most promising alternative.

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Identifying potentially disruptive trends by means of keyword network analysis

Cited by 107 publications

References 72 publications

Identifying Disruptive Technologies: Horizon Scanning in the Early Stages of Design

Identifying Disruptive Technologies: Horizon Scanning in the Early Stages of Design

Identifying trends and flows in communication and information processing by means of keyword network analysis

Adaptive Port Planning under Disruptive Trends with focus on the case of The Port of Kuala Tanjung, Indonesia

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