Responding to career uncertainty: Applying a 'dual-empathy' approach to career development using corporate strategy theory

2020 ◽  
Vol 44 (1) ◽  
pp. 44-50
Author(s):  
Naeema Pasha
Keyword(s):  
Artificial Intelligence ◽  
Career Development ◽  
Corporate Strategy ◽  
Organisational Change ◽  
Theory And Practice ◽  
Future Of Work ◽  
Changing Times ◽  
The Impact ◽  
Career Uncertainty ◽  
Career Practice

We live in rapidly changing times, with workers continuously facing challenges as organisations go through repeat and rapid transformations. Furthermore, literature on Future of Work, including the rise of artificial intelligence in the workplace, predicts greater levels of occupational hybridisation and contingent working, which will further increase job uncertainty. This paper argues that by drawing on theory and practice from organisational literature, career practitioners can appreciate better the impact of organisational change on work, and the implications of this for people's careers. Thus, in understanding both organisational and individual transformation, they can offer a 'dual-empathy' approach to career practice.

scholarly journals An Analysis of the Use of English Language for Career Development in African Higher Education

2021 ◽  
Vol 12 (6S1) ◽  
Author(s):  
Ricardo Pinto Mario Covele
Keyword(s):  
Higher Education ◽  
Career Development ◽  
Social Constructivism ◽  
English Language ◽  
Theory And Practice ◽  
Professional Status ◽  
Structured Interviews ◽  
Language Competence ◽  
Comparative Higher Education ◽  
The Impact

Abstract Although the internationalization of higher education through the standardization of English language is considered progressive, unfortunately, for Lusophone universities it remains a deterrent for scholars’ career progression. The evidence of lived experiences in Mozambican universities suggests that the relationship between English language competence and professional status remains inconclusive. The study explores the impact of English language for career development in two Portuguese language-speaking universities, namely Eduardo Mondlane and Catholic universities in Mozambique. Case study design, purposive sampling, semi-structured interviews with scholars, documents reviews and content analysis approach will be employed. Career construction theory and practice (Savickas, 2013), is considered ideal based on its fundamental premise of individual and social constructivism of knowledge through which individuals construct themselves. The study contributes to a comparative higher education career research by guiding the formulation of language policy for career development in Lusophone countries.

THE INTELLECTUAL CAPITAL DIMENSIONS OF DUCATI'S TURNAROUND: EXPLORING KNOWLEDGE ASSETS GROUNDING A CHANGE MANAGEMENT PROGRAM

2008 ◽  
Vol 12 (02) ◽  
pp. 161-193 ◽  
Author(s):  
GIOVANNI SCHIUMA ◽  
ANTONIO LERRO ◽  
DAMIANO SANITATE
Keyword(s):  
Change Management ◽  
Intellectual Capital ◽  
Organisational Change ◽  
Management Program ◽  
Theory And Practice ◽  
Knowledge Assets ◽  
Strategic Resources ◽  
Management Perspective ◽  
Successful Change ◽  
The Impact

Despite the growing awareness of the importance of researching core strategic resources and capabilities for supporting organisational change, the work that has been done to the date has rarely examined and taken into account the relevance of Intellectual Capital (IC) for the success of a company's strategic turnaround program. Moreover, little attention has been given on what encompasses IC and how it can be conceptualised and interpreted in a change management perspective. Through an extensive review of the literature on IC and along with a case study of the Ducati Motor Holding — one of the leading world brands in the sportive motorcycles manufacturing — this paper aims to bridge this gap first of all by identifying which are the key-knowledge assets involved in a turnaround program, and then focusing on the impact IC has on turnaround actions. Findings highlight important implications both for theory and practice, and reveal interesting relationships that suggest further effort should be placed on the development of a knowledge base-view of company's turnaround and on the analysis of the dynamics that links knowledge assets and successful change management programs.

Trading faces: Complete AI face doubles avoid the uncanny valley

2020 ◽  
Author(s):  
Christopher Welker ◽  
David France ◽  
Alice Henty ◽  
Thalia Wheatley
Keyword(s):  
Artificial Intelligence ◽  
Sexual Orientation ◽  
Uncanny Valley ◽  
Torture Survivors ◽  
The Uncanny ◽  
The Creation ◽  
Full Face ◽  
The Impact

Advances in artificial intelligence (AI) enable the creation of videos in which a person appears to say or do things they did not. The impact of these so-called “deepfakes” hinges on their perceived realness. Here we tested different versions of deepfake faces for Welcome to Chechnya, a documentary that used face swaps to protect the privacy of Chechen torture survivors who were persecuted because of their sexual orientation. AI face swaps that replace an entire face with another were perceived as more human-like and less unsettling compared to partial face swaps that left the survivors’ original eyes unaltered. The full-face swap was deemed the least unsettling even in comparison to the original (unaltered) face. When rendered in full, AI face swaps can appear human and avoid aversive responses in the viewer associated with the uncanny valley.

Artificial Intelligence as a Business Partner in Cardiovascular Precision Medicine: an Emerging Approach for Disease Detection and Treatment Optimization

2020 ◽  
Vol 28 ◽  
Author(s):  
Valeria Visco ◽  
Germano Junior Ferruzzi ◽  
Federico Nicastro ◽  
Nicola Virtuoso ◽  
Albino Carrizzo ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Heart Failure ◽  
Atrial Fibrillation ◽  
Precision Medicine ◽  
Clinical Decision Making ◽  
Disease Detection ◽  
Physician Patient Relationship ◽  
Invasive Approach ◽  
Tailored Treatment ◽  
The Impact

Background: In the real world, medical practice is changing hand in hand with the development of new Artificial Intelligence (AI) systems and problems from different areas have been successfully solved using AI algorithms. Specifically, the use of AI techniques in setting up or building precision medicine is significant in terms of the accuracy of disease discovery and tailored treatment. Moreover, with the use of technology, clinical personnel can deliver a very much efficient healthcare service. Objective: This article reviews AI state-of-the-art in cardiovascular disease management, focusing on diagnostic and therapeutic improvements. Methods: To that end, we conducted a detailed PubMed search on AI application from distinct areas of cardiology: heart failure, arterial hypertension, atrial fibrillation, syncope and cardiovascular rehabilitation. Particularly, to assess the impact of these technologies in clinical decision-making, this research considers technical and medical aspects. Results: On one hand, some devices in heart failure, atrial fibrillation and cardiac rehabilitation represent an inexpensive, not invasive or not very invasive approach to long-term surveillance and management in these areas. On the other hand, the availability of large datasets (big data) is a useful tool to predict the development and outcome of many cardiovascular diseases. In summary, with this new guided therapy, the physician can supply prompt, individualised, and tailored treatment and the patients feel safe as they are continuously monitored, with a significant psychological effect. Conclusion: Soon, tailored patient care via telemonitoring can improve the clinical practice because AI-based systems support cardiologists in daily medical activities, improving disease detection and treatment. However, the physician-patient relationship remains a pivotal step.

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