Disruptive Unicorn of Digital Innovations

This chapter analyzes the disruptive unicorn of the 21st century, characterized by six of the most important digital disruptive innovations that will dominate the business ecosystem. A survey was applied to undergraduate students at Tecnologico de Monterrey in Mexico in 2019 to identify the students' perception of the unicorn. The hypothesis to be evaluated is that the undergraduate student has an unclear perception of the existence of the unicorn that could generate risks related to ethics and business power shifts in the world. An educational challenge is the need to develop the transversal competence of critical thinking related to digital disruptive innovations in the students. The educational strategies must evolve as fast as these digital disruptive innovations in order for the world to have citizens of a technological world in favor of humanity with the power of critical thinking and discernment. This is the challenge for the university educator.

A review of emerging innovations in COVID-19

The COVID-19 pandemic has globally impacted humanity. Human health, productivity, social life and function is affected. Every country has felt effects, domestic as well as international. Emerging technologies also known as disruptive technologies have played a significant role in the pandemic. This literature review is a manifest overview on the utilization of existing technologies during the COVID-19 pandemic. The strengths, weakness, opportunities and threats of the innovative technologies under review have been summarized. Their benefits and further scope of disruptive innovations have been reviewed. The review aims to identify and highlight approaches/gaps for improvement and future application.

A Search for Discriminative Linguistic Markers in ICT Practitioner Discourse, for the Ex Ante Identification of Disruptive Innovation

<p>Disruptive innovations have the potential to disrupt markets, and drive them in new directions. A common problem faced by business organizations is identifying such disruptive innovations. From a managerial perspective, there is real value in being able to accurately identify disruptive innovations early in the product life-cycle, as it affords the organization the opportunity to put in place business strategies that leverage this information, to gain maximal competitive advantage. This investigation was undertaken to determine if linguistic markers could be identified in ICT practitioner discourse that could be used to discriminate between traditional business intelligence (BI) - the legacy or incumbent technology, and software-as-a-service (SaaS) BI - a new technology and candidate disruptive innovation. Quantitative content analysis undertaken using the tool Veneficium WordFrequencyCounter, was used to analyze written practitioner discourse identified from within the Industry Newsgroup file of LexisNexis Academic universe. Analysis was undertaken using attribute sets derived deductively from the academic literature, and inductively from the data itself, which provided both manifest and latent meaning of component words. Individual relative word associations with both the traditional BI and SaaS BI corpora were also analyzed. Analysis of the attribute set usage data provided evidence that manifest and latent word meaning remained consistent for the time period investigated in this study (2000 to 2012), and so could support the purpose of this study, and was suggestive of the fact that SaaS BI could be a disruptive technology. The study also identified that there was a significant difference in vendor and industry attribute set usage between the SaaS BI and traditional BI corpora, consistent with the Abernathy-Utterback model. Analysis of individual word associations with the traditional BI and SaaS BI corpora identified a number of word association patterns that could discriminate between traditional BI and SaaS BI that may be transferable to other technologies. A crossover event pattern was also identified (in which the word association pattern switches between the incumbent and new technology), which may be able to provide an indication that a technology innovation is, or is about to become, disruptive. This study contributes a new approach for investigating disruptive innovation, and highlights the potential of using content analysis of practitioner discourse to identify linguistic markers for disruptive innovation. The key contribution of the study is the observation that discriminative linguistic markers can in fact be identified, and that such markers appear to have predictive capabilities. That is, they may allow organizations to identify disruptive innovations ex ante.</p>

A Search for Discriminative Linguistic Markers in ICT Practitioner Discourse, for the Ex Ante Identification of Disruptive Innovation

<p>Disruptive innovations have the potential to disrupt markets, and drive them in new directions. A common problem faced by business organizations is identifying such disruptive innovations. From a managerial perspective, there is real value in being able to accurately identify disruptive innovations early in the product life-cycle, as it affords the organization the opportunity to put in place business strategies that leverage this information, to gain maximal competitive advantage. This investigation was undertaken to determine if linguistic markers could be identified in ICT practitioner discourse that could be used to discriminate between traditional business intelligence (BI) - the legacy or incumbent technology, and software-as-a-service (SaaS) BI - a new technology and candidate disruptive innovation. Quantitative content analysis undertaken using the tool Veneficium WordFrequencyCounter, was used to analyze written practitioner discourse identified from within the Industry Newsgroup file of LexisNexis Academic universe. Analysis was undertaken using attribute sets derived deductively from the academic literature, and inductively from the data itself, which provided both manifest and latent meaning of component words. Individual relative word associations with both the traditional BI and SaaS BI corpora were also analyzed. Analysis of the attribute set usage data provided evidence that manifest and latent word meaning remained consistent for the time period investigated in this study (2000 to 2012), and so could support the purpose of this study, and was suggestive of the fact that SaaS BI could be a disruptive technology. The study also identified that there was a significant difference in vendor and industry attribute set usage between the SaaS BI and traditional BI corpora, consistent with the Abernathy-Utterback model. Analysis of individual word associations with the traditional BI and SaaS BI corpora identified a number of word association patterns that could discriminate between traditional BI and SaaS BI that may be transferable to other technologies. A crossover event pattern was also identified (in which the word association pattern switches between the incumbent and new technology), which may be able to provide an indication that a technology innovation is, or is about to become, disruptive. This study contributes a new approach for investigating disruptive innovation, and highlights the potential of using content analysis of practitioner discourse to identify linguistic markers for disruptive innovation. The key contribution of the study is the observation that discriminative linguistic markers can in fact be identified, and that such markers appear to have predictive capabilities. That is, they may allow organizations to identify disruptive innovations ex ante.</p>

Design thinking in responding to disruptive innovation: A case study

How can the design thinking approach assist firms in developing response strategies to momentum-gaining disruptive innovations, along the lines of effectively exploiting established technologies and corresponding products/services? Such exploitative response strategies, implying successfully strengthening and leveraging the disrupted firm's existing technology without embracing the disruptive elements, have been, to a large extent, overlooked in the disruptive innovations literature. Using an inductive analysis of a critical case (a major cork stopper producer), the current study aims at developing a systematic understanding of exploitative strategic options and the role of design thinking in enabling them. The findings shed light on the effectiveness of the design thinking mindset to respond to disruptive innovations. In addition, we present evidence that a design thinking method can be successfully applied to process innovation. Finally, we demonstrate that to achieve a radical innovation based on design thinking principles, the establishment of design discourse is required.

Regulatory Sandbox as an Alternative to Insert the Disruptive Innovations Developed by Startups in Brazil

Aim: This study presents an analysis to be used in regulatory environment as an option for start-ups to insert their products and/ or services in the market in Brazil. Methods: This is an applied, exploratory, document a qualitative-quantitative. It was carried-out a systematic review at CAPES journals, Brazilian Digital Library of theses and dissertations (BDTD) and Electronic Scientific Online Library (CIELO) with a time period of 5 years, so as with the exploration of experience programmes of Regulatory Sandbox, particularly in the United Kingdom, besides the brief analysis regarding the legal landmark of Start-ups and Innovative Entrepreneurship MLSEI- Supplementary law Nº 182/2021. The analysis was performed in a way to evaluate the existence of good practices in regulatory environments and its adequation and inclusion in the market of disrupt innovations, looking for legal certainty for the companies, the State and consumer. Results: Findings show that there are meaningful advantages in the insertion of new technologies in regulatory environment in a pre-established time, with users’ limitation and supervision assisted in a way to bring to the market those technologies with greater law certainty.

Enhancing library performance by exploiting the potentials of disruptive innovations

Purpose The purpose of this paper is to investigate enhancement of library performance by exploiting the potentials of disruptive innovations. Design/methodology/approach Descriptive survey research design was used for this study. The population of the study was 167 respondents, consisting of 83 professional and 84 para-professional librarians in the libraries of the public higher institutions in Ekiti and Ondo States, Nigeria. Total enumeration sampling technique was used for the study. Data were collected using the questionnaire. Descriptive statistical tools were used for data analysis. Findings It was found that disruptive innovation has influence on library operations, the extent of application of disruptive innovation in library operation is low, the extent of using the by-products of disruptive innovation in the libraries is low and the challenges facing the adoption of disruptive innovations in libraries include: high cost of acquiring technological infrastructure, high cost of training library personnel, high costs of internet, inadequate technical know-how and high costs of system maintenance and upgrades. Practical implications Libraries should embrace the influence of disruptive innovations in their operations and service delivery. Originality/value This study is novel, as it approaches library performance from the perspective of the disruptive innovation. Very few studies emanate from Africa in this area. Most of the previous narratives around disruptive innovation centred around the Western countries such USA, UK, France, Italy, etc., which maintain a lead in library innovation and development. The current study demonstrated that the performance of libraries in Nigeria is not immune from being boosted by disruptive innovations.