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

2021 ◽  
Author(s):  
◽  
Ian Bloodworth
Keyword(s):  
Content Analysis ◽  
Word Association ◽  
New Technology ◽  
Disruptive Innovation ◽  
Business Strategies ◽  
Word Associations ◽  
Linguistic Markers ◽  
Significant Difference ◽  
Disruptive Innovations ◽  
Ex Ante

<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>

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

2021 ◽  
Author(s):  
◽  
Ian Bloodworth
Keyword(s):  
Content Analysis ◽  
Word Association ◽  
New Technology ◽  
Disruptive Innovation ◽  
Business Strategies ◽  
Word Associations ◽  
Linguistic Markers ◽  
Significant Difference ◽  
Disruptive Innovations ◽  
Ex Ante

<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>

Dream Test

1982 ◽  
Vol 55 (3) ◽  
pp. 935-938 ◽  
Author(s):  
Momčilo Živković
Keyword(s):  
Content Analysis ◽  
Word Association ◽  
Association Test ◽  
Dream Content ◽  
Initial Letter ◽  
Word Associations ◽  
Letter Word ◽  
Word Association Test

A method of analysing dreams, called the Dream Test and utilizing the Initial Letter Word Association Test, was presented. Four interpreting rules were discussed, taking into account manifest dream content, Freud's and Jung's symbolism, associations, and Hall and Van de Castle's content analysis of dreams. In this way data from the Dream Test and the initial-letter word associations are analysed in a way which makes possible verification of each interpretation taken separately from either test.

Business Strategies and Disruptive Technologies

2018 ◽  
pp. 1-30
Author(s):  
Sucet Jimena Martínez-Vergara ◽  
Jaume Valls-Pasola
Keyword(s):  
Competitive Advantage ◽  
Business Models ◽  
Disruptive Innovation ◽  
Business Strategies ◽  
Historical Overview ◽  
Disruptive Technologies ◽  
Disruptive Innovation Theory ◽  
Disruptive Innovations ◽  
Recent Developments ◽  
Key Issues

This chapter presents key issues taken from the review of existing literature on disruptive technologies and their importance for successful business strategies. The review is done within the framework of the disruptive innovation theory. The chapter covers an historical overview of the topic from the precursors to the most recent developments as well as an analysis of its predictive side. It also finds out whether the theory allows for the development of business models. Last section is devoted to the identification of strategies that are applicable in technological disruptive innovations and discusses relevant issues to develop such strategies. Disruptive innovations are widely recognized as key engines for competitive advantage, so it is important for companies to recognize the opportunities that emerge from developing disruptive technological innovations.

Business Strategies and Disruptive Technologies

2020 ◽  
pp. 1-23
Author(s):  
Sucet Jimena Martínez-Vergara ◽  
Jaume Valls-Pasola
Keyword(s):  
Competitive Advantage ◽  
Business Models ◽  
Disruptive Innovation ◽  
Business Strategies ◽  
Historical Overview ◽  
Disruptive Technologies ◽  
Disruptive Innovation Theory ◽  
Disruptive Innovations ◽  
Recent Developments ◽  
Key Issues

This chapter presents key issues taken from the review of existing literature on disruptive technologies and their importance for successful business strategies. The review is done within the framework of the disruptive innovation theory. The chapter covers an historical overview of the topic from the precursors to the most recent developments as well as an analysis of its predictive side. It also finds out whether the theory allows for the development of business models. Last section is devoted to the identification of strategies that are applicable in technological disruptive innovations and discusses relevant issues to develop such strategies. Disruptive innovations are widely recognized as key engines for competitive advantage, so it is important for companies to recognize the opportunities that emerge from developing disruptive technological innovations.

L1 mediation in Chinese English learners’ mental lexicon: Evidence from word association tests

2022 ◽  
pp. 136216882110660
Author(s):  
Li Xiang ◽  
Hyunjeong Nam
Keyword(s):  
Learning Environments ◽  
English Learners ◽  
Word Association ◽  
Related Factors ◽  
Word Associations ◽  
Association Tests ◽  
Test Formats ◽  
Significant Difference ◽  
Integrative Motivation ◽  
Chinese English Learners

The study aimed to explore the evidence of first language (L1) mediation in second language (L2) word associations and the L2 learner-related factors affecting the extent of L1 mediation with the following approaches. First, different from previous research, word association tests (WATs) embraced both receptive and productive word associations in the study. Second, different from word-related variables such as cognates vs. non-cognates in previous research, the study examined learner-related factors. Third, it examined whether the methodological difference (receptive vs. productive test formats) may affect the extent of L1 mediation in L2 access. A total of 108 Chinese English learners varying in proficiency, learning experiences, input and motivation participated in WATs using 24 stimulus words. The results suggested, (1) from the findings of descriptive statistics and ANOVAs, the evidence of L1 mediation was found in all three L2 proficiency groups with different extent of higher L1 mediation in lower proficiency groups. (2) From the findings of Pearson product-moment correlation coefficients, significant correlations were found with L1-promoting learning environments, L2 input, integrative motivation and the learners’ awareness of L1 activation. (3) The findings of the paired-samples t-tests confirmed a significant difference between the two test formats. Based on the findings, the study suggested the promotion of L2-rich learning environments, integrative motivation, and receptive and productive word associations in the L2 network.

Patterns of Word Association in the Deaf

1966 ◽  
Vol 18 (1) ◽  
pp. 87-92 ◽  
Author(s):  
Jum C. Nunnally ◽  
Richard L. Blanton
Keyword(s):  
Content Analysis ◽  
Visual Experience ◽  
Word Association ◽  
Simple Material ◽  
Word Associations ◽  
Group Words

Comparisons were made of the word associations of normal Ss and two groups of deaf Ss. A special set of coding categories was used in a content analysis of the responses. The results suggest that in comparison to normal Ss, the deaf give relatively more associations that could have been learned from visual experience and from reading simple material, and they give fewer associations that supposedly are learned from subtle uses of language. Also, it was found that deaf Ss frequently are unable to give associates, suggesting that, as a group, words are less meaningful to deaf than normals.

scholarly journals The Wadden Sea as a National Park and UNESCO World Heritage Site: Students’ Word Associations with These Two Conservation Designations

2021 ◽  
Vol 13 (14) ◽  
pp. 8006
Author(s):  
Till Schmäing ◽  
Norbert Grotjohann
Keyword(s):  
National Parks ◽  
National Park ◽  
Wadden Sea ◽  
World Heritage ◽  
World Heritage Site ◽  
Unesco World Heritage ◽  
Word Associations ◽  
Heritage Site ◽  
Unesco World Heritage Site ◽  
Significant Difference

The Wadden Sea ecosystem is unique in many respects from a biological perspective. This is one reason why it is protected by national parks in Germany and by its designation as a UNESCO World Heritage Site. In biology didactics, there are only a few studies that focus on the Wadden Sea. This work investigates students’ word associations with the two stimulus words “national park” and “UNESCO World Heritage Site”. The survey was conducted among students living directly at the Wadden Sea and among students from the inland. The analysis of the identified associations (n = 8345) was carried out within the framework of a quantitative content analysis to be able to present and discuss the results on a group level. A statistically significant difference was found between the two groups. Overall, results showed that the students made subject-related associations as well as a large number of associations to both stimulus words that could be judged as non-subject-related. In some cases, a connection with the region of residence could be found, but this was not generally the case. Even students’ immediate residential proximity to the Wadden Sea is no guarantee that they have knowledge of the two considered protection terms.

scholarly journals Students’ Word Associations with Different Terms Related to the Wadden Sea: Does the Place of Residence (Coast or Inland) Have an Influence?

2021 ◽  
Vol 11 (6) ◽  
pp. 284
Author(s):  
Till Schmäing ◽  
Norbert Grotjohann
Keyword(s):  
Wadden Sea ◽  
Word Association ◽  
Place Of Residence ◽  
Word Associations ◽  
Quantitative Content ◽  
Visitation Frequency ◽  
Written Form ◽  
Free Word ◽  
Different Levels ◽  
Out Of School

This paper presents students’ word associations with terms regarding the Wadden Sea. A continuous free word-association method was used in which the students from secondary schools (n = 3119, average age: 13.54 years) reported their associations with the stimulus words Wadden Sea, mudflat hiking tour, and tides in written form. Data were collected from students living close to the Wadden Sea and from students living inland. We performed a quantitative content analysis including the corresponding formation of categories. In addition, students’ school, out-of-school with the class, and private experiences the Wadden Sea ecosystem were recorded. The study shows that not only subject-related concepts should be considered at different levels, but non-subject-related aspects as well. The associations of the inland and non-inland students are statistically significantly different. The Wadden Sea and its biome were found to be completely unknown to some students. Students’ school, out-of-school with the class, and private experiences of the wetlands are also very mixed, regarding their Wadden Sea visitation frequency, and surprisingly cannot be directly derived from their place of residence. This research makes an important contribution towards the design of future biology didactic studies on the Wadden Sea.

Do word associations assess word knowledge? A comparison of L1 and L2, child and adult word associations

2010 ◽  
Vol 15 (2) ◽  
pp. 187-204 ◽  
Author(s):  
Marjolein Cremer ◽  
Daphne Dingshoff ◽  
Meike de Beer ◽  
Rob Schoonen
Keyword(s):  
Conceptual Development ◽  
Assessment Tool ◽  
Word Association ◽  
Word Knowledge ◽  
Word Associations ◽  
Bilingual Speakers ◽  
Association Behavior ◽  
Log Linear ◽  
L1 And L2 ◽  
Free Word

Differences in word associations between monolingual and bilingual speakers of Dutch can reflect differences in how well seemingly familiar words are known. In this (exploratory) study mono-and bilingual, child and adult free word associations were compared. Responses of children and of monolingual speakers were found to be more dispersed across response categories than responses of adults and of L2 speakers, respectively. Log linear analyses show that the distributional patterns of association responses differ among the groups. Age has the largest effect on association responses. Adults give more meaning-related responses than children. Child L1 speakers give more meaning-related responses than child L2 speakers. Form-based and ‘Other’ associations were mostly given by (L2) children. The different findings for mono- and bilingual children and for mono- and bilingual adults show the influence of bilingualism on the development of word associations. The prominent effect of age emphasizes the role of conceptual development in word association behavior, and makes free word association tasks less suitable as an assessment tool for word knowledge.

An Exploratory Study of Word Associations of Negro College Students

1968 ◽  
Vol 23 (1) ◽  
pp. 119-134 ◽  
Author(s):  
Leon H. Belcher ◽  
Joel T. Campbell
Keyword(s):  
College Students ◽  
Exploratory Study ◽  
Word Association ◽  
Scholastic Aptitude Test ◽  
Reading Difficulty ◽  
Aptitude Test ◽  
Word Associations ◽  
Scholastic Aptitude

Two word-association lists of 50 words were each administered to 50 Negro college students. 41 words were taken from the Kent-Rosanoff list, 29 from the Palermo-Jenkins list, and 30 were words used in analogy items of the Scholastic Aptitude Test. Comparisons with previous normative studies showed generally similar results. The present study did result in slightly smaller proportions of matching from class primary responses to noun, pronoun, and adverb stimulus words and of opposite responses to “opposite-evoking stimuli.” A number of the responses indicated reading difficulty or misunderstanding of the word.

Sign in / Sign up

Export Citation Format

Share Document