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==1 Title, abstract and keywords<!-- Your document should start with a concise and informative title. Titles are often used in information-retrieval systems. Avoid abbreviations and formulae where possible. Capitalize the first word of the title.
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==Abstract ==
  
Provide a maximum of 6 keywords, and avoiding general and plural terms and multiple concepts (avoid, for example, 'and', 'of'). Be sparing with abbreviations: only abbreviations firmly established in the field should be used. These keywords will be used for indexing purposes.
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Technological disruption, a significant alteration in competitive industry standards, impacts all stakeholders within the value chain, redefining business models, collaborative and competitive relationships, value propositions, and prevailing product/service standards. Historically technological at its core, disruption arises either from the adoption of emerging technologies or the innovation on existing ones. Given the accelerated pace and increased frequency of technological disruption in recent decades, understanding its dynamics is crucial, yet challenging due to the shortening of disruptive cycles and the complex recombination of technologies.
  
An abstract is required for every document; it should succinctly summarize the reason for the work, the main findings, and the conclusions of the study. Abstract is often presented separately from the article, so it must be able to stand alone. For this reason, references and hyperlinks should be avoided. If references are essential, then cite the author(s) and year(s). Also, non-standard or uncommon abbreviations should be avoided, but if essential they must be defined at their first mention in the abstract itself. -->==
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Despite numerous analyses from various perspectives, particularly technological, a holistic conceptual model interpreting this phenomenon from a competitive strategy standpoint is lacking. This paper aims to bridge this gap by proposing a theoretical analytical framework that enables researchers, managers, and analysts to characterize and anticipate technological disruptions in competitive environments.
  
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The genesis of disruptive processes usually involves a technological component that manifests in two primary forms: cost impact, where the cost-performance ratio of emerging technologies massively alters key competitive processes, leading to business model obsolescence; and revenue impact, where the application of new technologies generates new markets, reshaping industry size and connections with adjacent sectors.
  
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This study introduces the concept of a "competitive paradigm" of an industry, referring to the prevailing competition rules within a certain timeframe from a multidimensional perspective. A disruption signifies a break from these rules, and therefore, from the competitive paradigm itself. The framework outlined in this paper focuses on four competitive dimensions crucial for characterizing potential disruptions: dominant business model characteristics, customer behavior in relation to the prevailing value proposition, the industry's value chain configuration, and the distribution of generated profits among stakeholders.
  
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For instance, the shift towards digital platforms in the music industry and the rise of electric vehicles are clear examples of how new business models can redefine competitive landscapes. These models often emerge from non-traditional industry participants and drastically alter the competitive dynamics, making anticipation of such changes more complex yet vital for sustaining competitive advantage.
  
==2 The main text<!-- You can enter and format the text of this document by selecting the ‘Edit’ option in the menu at the top of this frame or next to the title of every section of the document. This will give access to the visual editor. Alternatively, you can edit the source of this document (Wiki markup format) by selecting the ‘Edit source’ option.
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The analytical model provided herein sets the groundwork for identifying industry disruptions based on changes induced by new technological competitive models. It offers specific criteria for analysis across the described dimensions, thus facilitating the anticipation of disruptive shifts.
  
Most of the documents in Scipedia are written in English (write your manuscript in American or British English, but not a mixture of these). Anyhow, specific publications in other languages can be published in Scipedia. In any case, the documents published in other languages must have an abstract written in English.
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This paper contributes to the literature by detailing a structured approach to understanding and predicting technological disruptions, reinforcing the strategic implications of such shifts and providing a robust tool for both academic research and practical application in business strategy dev
 
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2.1 Subsections
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Divide your article into clearly defined and numbered sections. Subsections should be numbered 1.1, 1.2, etc. and then 1.1.1, 1.1.2, ... Use this numbering also for internal cross-referencing: do not just refer to 'the text'. Any subsection may be given a brief heading. Capitalize the first word of the headings.
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Number the figures according to their sequence in the text. Ensure that each illustration has a caption. A caption should comprise a brief title. Keep text in the illustrations themselves to a minimum but explain all symbols and abbreviations used. Try to keep the resolution of the figures to a minimum of 300 dpi. If a finer resolution is required, the figure can be inserted as supplementary material
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1. The first entry in this list
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Revision as of 09:38, 29 April 2024

Abstract

Technological disruption, a significant alteration in competitive industry standards, impacts all stakeholders within the value chain, redefining business models, collaborative and competitive relationships, value propositions, and prevailing product/service standards. Historically technological at its core, disruption arises either from the adoption of emerging technologies or the innovation on existing ones. Given the accelerated pace and increased frequency of technological disruption in recent decades, understanding its dynamics is crucial, yet challenging due to the shortening of disruptive cycles and the complex recombination of technologies.

Despite numerous analyses from various perspectives, particularly technological, a holistic conceptual model interpreting this phenomenon from a competitive strategy standpoint is lacking. This paper aims to bridge this gap by proposing a theoretical analytical framework that enables researchers, managers, and analysts to characterize and anticipate technological disruptions in competitive environments.

The genesis of disruptive processes usually involves a technological component that manifests in two primary forms: cost impact, where the cost-performance ratio of emerging technologies massively alters key competitive processes, leading to business model obsolescence; and revenue impact, where the application of new technologies generates new markets, reshaping industry size and connections with adjacent sectors.

This study introduces the concept of a "competitive paradigm" of an industry, referring to the prevailing competition rules within a certain timeframe from a multidimensional perspective. A disruption signifies a break from these rules, and therefore, from the competitive paradigm itself. The framework outlined in this paper focuses on four competitive dimensions crucial for characterizing potential disruptions: dominant business model characteristics, customer behavior in relation to the prevailing value proposition, the industry's value chain configuration, and the distribution of generated profits among stakeholders.

For instance, the shift towards digital platforms in the music industry and the rise of electric vehicles are clear examples of how new business models can redefine competitive landscapes. These models often emerge from non-traditional industry participants and drastically alter the competitive dynamics, making anticipation of such changes more complex yet vital for sustaining competitive advantage.

The analytical model provided herein sets the groundwork for identifying industry disruptions based on changes induced by new technological competitive models. It offers specific criteria for analysis across the described dimensions, thus facilitating the anticipation of disruptive shifts.

This paper contributes to the literature by detailing a structured approach to understanding and predicting technological disruptions, reinforcing the strategic implications of such shifts and providing a robust tool for both academic research and practical application in business strategy dev

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Published on 31/05/24
Submitted on 26/04/24

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