The advent of artificial intelligence-based coaching

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Komal Khandelwal ◽  
Ashwani Kumar Upadhyay
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Return On Investment ◽  
Design Methodology ◽  
System Research ◽  
Self Assessment ◽  
Research Papers ◽  
Content Type ◽  
Practical Implications ◽  
Game Changer

Purpose This paper aims to explore the application of artificial intelligence (AI) for coaching. This paper discusses the different applications, benefits, challenges and implementation issues in AI usage in coaching. It highlights how AI is facilitating the up-skill and re-skill of employees. Design/methodology/approach The viewpoint reviews the articles, research papers and case studies. Findings AI-based coaching apps are aiding managers and supervisors in coaching and tracking trainees and mentees’ progress. AI is being used to customize the coaching program as per the mentee’s individual needs. AI-powered coaching systems can analyze recorded sales conversations and offer real-time coaching and feedback. Research limitations/implications AI-powered coaching systems help transform coaching from standard in-person one-to-one mode to personalized and customized AI system assisted coaching system. Research is needed to understand the factors that can facilitate AI-powered coaching transform into a game changer in the coaching industry. Originality/value This paper reviews and discusses several AI-powered coaching applications. This paper is useful for researchers and professionals in the field of coaching and mentoring, as it offers a review of the current AI-powered coaching applications. Practical implications AI systems offer private unbiased feedback and help self-assessment of individual mentee and mentor performance. AI provides a capability for organizations to track individuals’ learning and calculate return on investment.

Artificial intelligence-based training learning from application

2019 ◽  
Vol 33 (2) ◽  
pp. 20-23 ◽  
Author(s):  
Ashwani Kumar Upadhyay ◽  
Komal Khandelwal
Keyword(s):  
Artificial Intelligence ◽  
Design Methodology ◽  
Theoretical Foundation ◽  
Relevant Information ◽  
Relevant Research ◽  
Research Papers ◽  
Content Type ◽  
Training Systems ◽  
Effectiveness Of Training ◽  
Practical Implications

Purpose This paper aims to discuss the rationale, theoretical foundation, application, and future of artificial intelligence (AI)-based training. Design/methodology/approach A review of relevant research papers, articles and case studies is done to highlight developments in research and practice. Findings AI-based training systems are smart, intelligent and expert in handling queries. These systems can curate content, grade, evaluate, and provide feedback to trainee, thus making learning adaptive and contextual. Practical implications Application of AI is vital in the field of training, as it helps personalization and customization of training programs to increase the effectiveness of training. Originality/value Executives and researchers can save time by reading relevant information on the linkage, and its contribution to AI is discussed and summarized in an easy to read format.

Autonomous vehicles: a review of the ethical, social and economic implications of the AI revolution

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shweta Banerjee
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Vehicles ◽  
Design Methodology ◽  
Technological Advancement ◽  
Economic Implications ◽  
Content Type ◽  
The Public ◽  
Autonomous Cars ◽  
The Subject ◽  
Practical Implications

PurposeThere are ethical, legal, social and economic arguments surrounding the subject of autonomous vehicles. This paper aims to discuss some of the arguments to communicate one of the current issues in the rising field of artificial intelligence.Design/methodology/approachMaking use of widely available literature that the author has read and summarised showcasing her viewpoints, the author shows that technology is progressing every day. Artificial intelligence and machine learning are at the forefront of technological advancement today. The manufacture and innovation of new machines have revolutionised our lives and resulted in a world where we are becoming increasingly dependent on artificial intelligence.FindingsTechnology might appear to be getting out of hand, but it can be effectively used to transform lives and convenience.Research limitations/implicationsFrom robotics to autonomous vehicles, countless technologies have and will continue to make the lives of individuals much easier. But, with these advancements also comes something called “future shock”.Practical implicationsFuture shock is the state of being unable to keep up with rapid social or technological change. As a result, the topic of artificial intelligence, and thus autonomous cars, is highly debated.Social implicationsThe study will be of interest to researchers, academics and the public in general. It will encourage further thinking.Originality/valueThis is an original piece of writing informed by reading several current pieces. The study has not been submitted elsewhere.

Lasers sensors very accurately measure both speed and length in real time

Sensor Review ◽  
2014 ◽  
Vol 34 (1) ◽  
pp. 9-12 ◽  
Author(s):  
Richard Bloss
Keyword(s):  
Real Time ◽  
Design Methodology ◽  
Laser Measurement ◽  
Quality Cost ◽  
Content Type ◽  
Laser Sensors ◽  
Wide Range ◽  
Length Measurements ◽  
Practical Implications ◽  
Insight Into

Purpose – Review of the advancements in non-contact laser sensors for much more accurate real time speed as well as length measurements. The paper aims to discuss these issues. Design/methodology/approach – In-depth review of a number of applications of laser sensors. Findings – A wide range of manufacturers in the converting industries have solved measurement problems and realized major improvements in product quality, cost of production and productivity by applying laser measurement as well as reduction in scrap. Practical implications – Others with the need to make very accurate measurements of speed and length in real time may find that laser sensors may provide the answer. Originality/value – An expert insight into how to solve real time speed and length measurement problems.

How tall is your claim? Strategically acing patent scope

2020 ◽  
Vol 36 (4) ◽  
pp. 1-3
Author(s):  
Mayuree Sengupta
Keyword(s):  
Real World ◽  
Design Methodology ◽  
Contemporary Literature ◽  
Academic Discourse ◽  
Research Papers ◽  
Content Type ◽  
Research Findings ◽  
Patent Grant ◽  
Patent Scope ◽  
Practical Implications

Purpose The article examines strategically directing the breadth of scope of a patent and hazards of litigation vis-à-vis the length of claims for innovating firms. Design/methodology/approach This paper enumerates latest literature on assessing patent scope and hence protection afforded to firm innovations. Based on prior research findings, this paper proposes to maintain a balanced and nuanced approach to claim drafting to assure grant of patent while minimizing litigation threats. Findings To strategically manage patent grant and minimize litigation threat, firms would better take a leaf out of academic discourse and streamline claim drafting – not too wide to earn an examiner’s ire and not too narrow to let an infringer bypass by. Unlike smaller firms or universities, big firms are less likely to renew a patent with less scope. Research limitations/implications The study sample in contemporary literature is exclusive to patents from US Patent and Trademark Office. Whether the same result will be replicated for diverse countries is uncertain. Practical implications The understanding that patent scope not only influences grant chances but also is an indicator of future litigation threat can help patent practitioners and innovating firms in strategically directing the patent. Originality/value The paper draws from the findings of three well-articulated recent research papers. The paper’s originality and value is in providing practical insights on how to perfect patent scope in a real world based on academic discourse.

How to optimize marketing strategy development

2020 ◽  
Vol 36 (8) ◽  
pp. 17-19
Keyword(s):  
Artificial Intelligence ◽  
Marketing Strategy ◽  
Design Methodology ◽  
Reading Time ◽  
Marketing Strategies ◽  
Strategy Development ◽  
Content Type ◽  
Human Creativity ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Artificial Intelligence (AI) is enabling companies to perform many functional tasks more efficiently. Some organizations are starting to further utilize its capabilities by combining the rationality of AI with human creativity in order to optimize development of marketing strategies. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Integrating Big Data in “e-Oman”: opportunities and challenges

Info ◽  
2016 ◽  
Vol 18 (5) ◽  
pp. 79-97 ◽  
Author(s):  
Stuti Saxena ◽  
Sujeet Kumar Sharma
Keyword(s):  
Big Data ◽  
Real Time ◽  
Design Methodology ◽  
Public Services ◽  
Content Type ◽  
Challenges And Opportunities ◽  
The Government ◽  
Time Basis ◽  
Privacy And Confidentiality ◽  
Practical Implications

Purpose This paper aims to integrate Big Data in e-government in Oman, also known as “e-Oman”, wherein Big Data might be better harnessed to tackle real-time challenges. Design/methodology/approach Besides a description of the concepts of e-government and Big Data in general, the paper underscores the dimensions of “e-Oman”. Following a qualitative approach, the paper asserts how integration of Big Data in “e-Oman” may be useful by invoking examples from four short case studies across different sectors. Findings The paper supports the integration of “e-Oman” and Big Data wherein besides providing smooth public services, the government is encouraged to forge inter- and intra-ministerial collaboration and public-private partnership. The paper probes through the challenges and opportunities in effecting this integration. Practical implications The paper provides a platform for the policymakers to conceive of a synchronized programme for integrating “e-Oman” and the Big Data generated by it. This integration would go a long way in building upon the economy of Oman, besides providing better public services to the individuals and businesses on a real-time basis. Social implications The paper does throw light on the issues of privacy and confidentiality of data available with the government. There are challenges of cybercrime as well. Therefore, the paper posits that a robust fool-proof infrastructure should be instituted by the government for effecting integration of e-government and Big Data. Originality/value This paper seeks to fill the gap in extant literature which remains scant on the integration of e-government with Big Data. This is especially true in the case of Oman where not a single study has been presented to probe this issue. Given that “e-Oman” is expanding its scope over the years, this paper foresees the concomitant opportunities and challenges in the integration of Big Data in “e-Oman”.

scholarly journals Managing the tension between opposing effects of explainability of artificial intelligence: a contingency theory perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Babak Abedin
Keyword(s):  
Artificial Intelligence ◽  
System Performance ◽  
Fuzzy Systems ◽  
Data Analytics ◽  
Design Methodology ◽  
Contingency Theory ◽  
Content Type ◽  
The Social ◽  
Opposing Effects ◽  
Practical Implications

PurposeResearch into the interpretability and explainability of data analytics and artificial intelligence (AI) systems is on the rise. However, most recent studies either solely promote the benefits of explainability or criticize it due to its counterproductive effects. This study addresses this polarized space and aims to identify opposing effects of the explainability of AI and the tensions between them and propose how to manage this tension to optimize AI system performance and trustworthiness.Design/methodology/approachThe author systematically reviews the literature and synthesizes it using a contingency theory lens to develop a framework for managing the opposing effects of AI explainability.FindingsThe author finds five opposing effects of explainability: comprehensibility, conduct, confidentiality, completeness and confidence in AI (5Cs). The author also proposes six perspectives on managing the tensions between the 5Cs: pragmatism in explanation, contextualization of the explanation, cohabitation of human agency and AI agency, metrics and standardization, regulatory and ethical principles, and other emerging solutions (i.e. AI enveloping, blockchain and AI fuzzy systems).Research limitations/implicationsAs in other systematic literature review studies, the results are limited by the content of the selected papers.Practical implicationsThe findings show how AI owners and developers can manage tensions between profitability, prediction accuracy and system performance via visibility, accountability and maintaining the “social goodness” of AI. The results guide practitioners in developing metrics and standards for AI explainability, with the context of AI operation as the focus.Originality/valueThis study addresses polarized beliefs amongst scholars and practitioners about the benefits of AI explainability versus its counterproductive effects. It poses that there is no single best way to maximize AI explainability. Instead, the co-existence of enabling and constraining effects must be managed.

scholarly journals Robotopias: mapping utopian perspectives on new industrial technology

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rhiannon Firth ◽  
Andrew Robinson
Keyword(s):  
Artificial Intelligence ◽  
Design Methodology ◽  
New Technologies ◽  
Social Role ◽  
Content Type ◽  
Human Essence ◽  
The Relationship ◽  
Labour Power ◽  
Practical Implications

PurposeThis paper maps utopian theories of technological change. The focus is on debates surrounding emerging industrial technologies which contribute to making the relationship between humans and machines more symbiotic and entangled, such as robotics, automation and artificial intelligence. The aim is to provide a map to navigate complex debates on the potential for technology to be used for emancipatory purposes and to plot the grounds for tactical engagements.Design/methodology/approachThe paper proposes a two-way axis to map theories into to a six-category typology. Axis one contains the parameters humanist–assemblage. Humanists draw on the idea of a human essence of creative labour-power, and treat machines as alienated and exploitative form of this essence. Assemblage theorists draw on posthumanism and poststructuralism, maintaining that humans always exist within assemblages which also contain non-human forces. Axis two contains the parameters utopian/optimist; tactical/processual; and dystopian/pessimist, depending on the construed potential for using new technologies for empowering ends.FindingsThe growing social role of robots portends unknown, and maybe radical, changes, but there is no single human perspective from which this shift is conceived. Approaches cluster in six distinct sets, each with different paradigmatic assumptions.Practical implicationsMapping the categories is useful pedagogically, and makes other political interventions possible, for example interventions between groups and social movements whose practice-based ontologies differ vastly.Originality/valueBringing different approaches into contact and mapping differences in ways which make them more comparable, can help to identify the points of disagreement and the empirical or axiomatic grounds for these. It might facilitate the future identification of criteria to choose among the approaches.

A student-focused checklist for creating infographics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Scottie Kapel ◽  
Krista Schmidt
Keyword(s):  
Best Practices ◽  
Data Visualization ◽  
Undergraduate Students ◽  
Design Methodology ◽  
Research Papers ◽  
Content Type ◽  
Traditional Research ◽  
Practical Implications ◽  
Final Selection ◽  
Selection Of

PurposeThis paper discusses efforts to produce instructional support objects for undergraduate students engaged in creating infographics, an alternative assignment growing in popularity at the authors' university.Design/methodology/approachThe authors examined scholarly, professional, trade and open-web sources to identify best practices for design and data visualization for this type of assignment. They categorized their findings and used a preponderance-of-evidence method for final selection of relevant practices. The authors detail the creation of their support products (instructional checklists and example infographics) and offer recommendations for librarians engaged in similar efforts.FindingsDespite the growing popularity of alternative assignments, guidance for best practices in data and design as they relate to student-created infographics is nascent, and best practices for design and data visualization in this context have yet to be concretely identified. Without extant guidance for student-created infographics, the authors developed a checklist of potential best practices for design and data visualization.Practical implicationsThe use of alternative projects assigned in lieu of traditional research papers is growing. Additional guidance may be required for students creating non-traditional works as standards and best practices for these projects are under-developed in the academic setting. Librarians will want to consider their role in supporting students assigned to create an alternative project.Originality/valueA consideration of best practices for data and design visualization for students designing research infographics has not yet been written.

The impacts of artificial intelligence (AI) on jobs: an industry perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Placide Poba-Nzaou ◽  
Malatsi Galani ◽  
Sylvestre Uwizeyemungu ◽  
Arnela Ceric
Keyword(s):  
Artificial Intelligence ◽  
Design Methodology ◽  
Employability Skills ◽  
Rapid Review ◽  
Professional Literature ◽  
Content Type ◽  
Job Tasks ◽  
Hr Function ◽  
Near Future ◽  
Practical Implications

Purpose This paper aims to explore the impacts of artificial intelligence (AI) on jobs. Design/methodology/approach The authors followed rapid review guidelines. The authors collected industry and government reports published prior and up to August 2017 in Google and Google Scholar using combination of key words: “job automation” or “work automation” with technology keywords: “artificial intelligence,” “machine learning,” etc. In total, 11 were included in this research. Findings The use of AI technologies will impact jobs in the near future as some job tasks are automated. AI is likely to substitute both, routine and nonroutine tasks. It is expected that humans and robots would work together in ways never imaginable. Changes in employability skills are expected. Because of the magnitude of these impacts on jobs, consulted reports call for concerted solutions that go beyond organizations’ and industry’s boundaries to include other relevant stakeholders. Moreover, organizations will have to rethink their human resource (HR) function to realign its expertise to the reality of AI. Practical implications In this context, the HR function will have to understand the dynamics that generate the impacts of these technologies in a workplace, to anticipate changes and actively contribute to creating an organizational environment that will facilitate the collaboration between human workers and complex digital agents, while ensuring compliance with labor and employment laws and supporting strategic organizational objectives. Originality/value This paper contributes to the debate on ongoing concerns by providing a synthesis of relevant professional literature.

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