 | Review waiting, please be patient.
This may take 6 weeks or more, since drafts are reviewed in no specific order. There are 1,075 pending submissions waiting for review.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
Reviewer tools
|
| Submission declined on 10 September 2024 by Utopes (talk). Wikipedia is an encyclopedia and not a dictionary. We cannot accept articles that are little more than definitions of words or abbreviations as entries. A good article should begin with a good definition, but expand on the subject. You might try creating a definition for this instead at Wiktionary, which is a dictionary. Please only do so if it meets that sister project's criteria for inclusion. These require among others, attestation for the word or phrase, as verified through clear widespread use, or its use in permanently recorded media, conveying meaning, in at least three independent instances spanning at least a year. This submission reads more like an essay than an encyclopedia article. Submissions should summarise information in secondary, reliable sources and not contain opinions or original research. Please write about the topic from a neutral point of view in an encyclopedic manner.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
This draft has been resubmitted and is currently awaiting re-review. |  |
| Submission declined on 10 September 2024 by DoubleGrazing (talk). Thank you for your submission, but the subject of this article already exists in Wikipedia. You can find it and improve it at Digital intelligence instead. Declined by DoubleGrazing 2 months ago. | |
Comment: An essay about a word's definition does not seem encyclopedic to warrant a standalone article. I suggest relevant information be added to Digital intelligence as a more summative article on the overarching topic. Utopes (talk / cont) 20:02, 10 September 2024 (UTC)
- Comment: Seems to be about the same subject as Digital intelligence. DoubleGrazing (talk) 12:40, 10 September 2024 (UTC)
Measurement of Digital Quotient
editAccording to Merriam-Webster, the term "digital" as an adjective describes devices that operate based on electronic methods or principles, often utilizing data in the form of binary digits. This category includes digital images, recordings, and broadcasts. When used as a noun, "digitals" refers to media, such as photographs, in a digital format or devices that are defined by their use of digital technology.[1] According to Gartner’s IT Glossary, the term "digital," when used as an adjective, signifies the primary use of advanced digital technologies to enhance processes, interactions, and business models.[2]
DQ refers to an individual’s or an organization’s readiness and maturity in navigating the digital landscape. DQ Institute emphasizes the importance of digital intelligence and provides insights into industry perspectives on standardizing DQ.
Here are a few ways of measuring the Digital Quotient.
McKinsey developed a simple yet powerful metric called the Digital Quotient (DQ) to assess the digital maturity of companies. This measurement considers 18 practices related to digital strategy, capabilities, and culture. DQ is a single, simple metric that provides insights into an organization’s digital readiness. While technical capabilities matter, adaptive culture can compensate for any gaps.[3]
Infosys introduced the Digital Quotient (DQ) to objectively assess and classify digital readiness. This assessment applies to individuals, teams, and entire enterprises. DQ is data-driven and provides a comprehensive score. It serves as a lodestar—a guiding star—for talent development and digital transformation.[4]
A research paper by Danny Azucar, in 2017 explored the predictive power of digital footprints (online behaviours) in relation to personality traits. Results showed that digital footprints correlate with personality traits, with correlations ranging from 0.29 (Agreeableness) to 0.40 (Extraversion).[5]
In 2021, a research paper published in International Journal of Computing & Digital Systems by R Shandilya, suggested that Definition of Digital Quotient is “The measure of awareness, responsiveness, and adoption of emerging digital technologies is commonly referred to as the individual's digital quotient (DQ)”. It helps in studying the correlation between behaviours & actions of an individual person and various components of the digital ecosystem.”[6]
The measure of responsiveness is towards any stimulus received over a digital medium. The measure of awareness is towards ability to prioritise usage of digital medium / technologies for a purpose. The measure of adoption is engagement of the digital medium / technologies for usage. The research paper also concluded that there are seven dominant personality drivers which have a strong influence on the digital quotient of an individual. This can also represent on collective basis example—a team or an organization and therefore can be applied to their collective behaviours as well.
A research paper by Sobaih, in 2022, A.E.E suggested that the impact of the big five personal traits (except agreeableness) on digital entrepreneurship intention was positive but insignificant. Additionally, a mediating effect was confirmed for personal attitude in the link between personal traits and digital entrepreneurship intention.[7]
In summary, understanding how personality traits intersect with digital behaviours is essential for enhancing DQ.
Human Psychology of Adaptive Digital Behavior
In the early days of information technologies evolution, Fred Davis’s “Technology Acceptance Model (TAM), made breakthrough observations on empirical factors that drive the use of a new IT system considering various socio-psychological factors (perceived ease of use, perceived usefulness, and behavioural intention) having influence on acceptance and adoption of computing technologies.[8] Continued significant research work in the human psychology area formulated a widely accepted reasonably universal Big 5 personality traits model to define individual behaviours.[9]
References
edit- ^ Webster, Merriam (27 October 2024). "Digital Definition & Meaning". Merriam-Webster.
- ^ Glossory, Gartner. "Definition of Digital". Gartner.
- ^ Catlin, Tanguy. "Raising your Digital Quotient". McKinsey Quarterly. Retrieved 1 June 2015.
- ^ S, Nandini. "Digital Quotient: Lodestar for Future Ready Talent". Infosys.
- ^ Azucar, Danny (2018). "Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis". Personality and Individual Differences. 124. Elsevier: 150–159. doi:10.1016/j.paid.2017.12.018. Retrieved 1 April 2018.
- ^ Shandilya, Rahul. "The influence of personality traits on digital quotient: An Indian metro city perspective". Google Scholar. University of Bahrain. Retrieved 25 July 2021.
- ^ Sobaih, Abu Elnasr E. (2022). "Personal Traits and Digital Entrepreneurship: A Mediation Model Using SmartPLS Data Analysis". Mathematics. 10 (21): 3926. doi:10.3390/math10213926.
- ^ Davis, Fred D. (1989). "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models". Management Science. 10 (21): 3926. doi:10.1287/mnsc.35.8.982.
- ^ Paunonen, S. V. (2001). "Big Five factors and facets and the prediction of behavior". Journal of Personality and Social Psychology. 81 (3): 524–539. doi:10.1287/mnsc.35.8.982. PMID 11554651.