scholarly journals Department of organization and management Silesian University of Technology students expectationsand preferences regard to the future work environment in terms of organizationalstructure

Author(s):  
Anna MĘCZYŃSKA ◽  
◽  
Anna MICHNA
2015 ◽  
pp. 253-267 ◽  
Author(s):  
Michał Marcińczuk ◽  
Marcin Oleksy ◽  
Tomasz Bernaś ◽  
Jan Kocoń ◽  
Michał Wolski

Towards an event annotated corpus of PolishThe paper presents a typology of events built on the basis of TimeML specification adapted to Polish language. Some changes were introduced to the definition of the event categories and a motivation for event categorization was formulated. The event annotation task is presented on two levels – ontology level (language independent) and text mentions (language dependant). The various types of event mentions in Polish text are discussed. A procedure for annotation of event mentions in Polish texts is presented and evaluated. In the evaluation a randomly selected set of documents from the Corpus of Wrocław University of Technology (called KPWr) was annotated by two linguists and the annotator agreement was calculated. The evaluation was done in two iterations. After the first evaluation we revised and improved the annotation procedure. The second evaluation showed a significant improvement of the agreement between annotators. The current work was focused on annotation and categorisation of event mentions in text. The future work will be focused on description of event with a set of attributes, arguments and relations.


Author(s):  
Ethel Ndidiamaka Abe ◽  
Isaac Idowu Abe ◽  
Olalekan Adisa

Work as we know it has changed with the emergence of the Fourth Industrial Revolution (4IR). Prior to the advent of the 41R, skill gaps have been widening. Though the 4IR comes with bright projections, it also will predict the way things are done and the requisite skills to have. Clearly, not everyone will be up to date with the needed skills in the future work environment. Intricate underlying factors about the future of work have fuelled debates bothering on the issues of digitization on work and professions, artificial intelligence (AI), and the uncertainty of work and careers left after automation. The changing patterns of work and work arrangements, the gig economy, as well as fissured jobs (involving employment as outsourced services) are of great concern. Also rife are matters around work-skill misalignment expected in the 4IR as the presentation skills that employees have may not be relevant in the new world of work. Therefore, skill obsolescence and the need to reskill and/or upskill is expected.


2020 ◽  
Vol 45 (3) ◽  
pp. 449-467
Author(s):  
Mark W Wiggins ◽  
Jaime Auton ◽  
Piers Bayl-Smith ◽  
Ann Carrigan

New technologies are critical for sustained economic growth in contemporary organisations. However, the success of new technologies is dependent upon the relationship with users. Using a human factors framework, this article examines contemporary approaches to the assessment of human–technology interactions, highlighting the lack of integration and the need for a comprehensive approach that considers user contributions, including skills, capabilities and dispositions; technological contributions, including dependencies, reliability, complexity, and accuracy; and organisational contributions through training assessment, organisational climate and culture, and leadership. The successful integration of new technologies in the workplace is likely to lead to a more productive and enjoyable interaction for employees and customers, together with systems that are more resilient to the complexities and threats that are likely to emerge in the future work environment. JEL Classification: J28, L15, D23, D24


1997 ◽  
Vol 113 (12) ◽  
pp. 986-988
Author(s):  
Shozo MIZOGUCHI
Keyword(s):  

2019 ◽  
Vol 19 (1) ◽  
pp. 10-14
Author(s):  
Ryan Scott ◽  
Malcolm Le Lievre

Purpose The purpose of this paper is to explore insights methodology and technology by using behavioral to create a mind-set change in the way people work, especially in the age of artificial intelligence (AI). Design/methodology/approach The approach is to examine how AI is driving workplace change, introduce the idea that most organizations have untapped analytics, add the idea of what we know future work will look like and look at how greater, data-driven human behavioral insights will help prepare future human-to-human work and inform people’s work with and alongside AI. Findings Human (behavioral) intelligence will be an increasingly crucial part of behaviorally smart organizations, from hiring to placement to adaptation to team building, compliance and more. These human capability insights will, among other things, better prepare people and organizations for changing work roles, including working with and alongside AI and similar tech innovation. Research limitations/implications No doubt researchers across the private, public and nonprofit sectors will want to further study the nexus of human capability, behavioral insights technology and AI, but it is clear that such work is already underway and can prove even more valuable if adopted on a broader, deeper level. Practical implications Much “people data” inside organizations is currently not being harvested. Validated, scalable processes exist to mine that data and leverage it to help organizations of all types and sizes be ready for the future, particularly in regard to the marriage of human capability and AI. Social implications In terms of human capability and AI, individuals, teams, organizations, customers and other stakeholders will all benefit. The investment of time and other resources is minimal, but must include C-suite buy in. Originality/value Much exists on the softer aspects of the marriage of human capability and AI and other workplace advancements. What has been lacking – until now – is a 1) practical, 2) validated and 3) scalable behavioral insights tech form that quantifiably informs how people and AI will work in the future, especially side by side.


2021 ◽  
pp. 103530462110147
Author(s):  
Mark Dean ◽  
Al Rainnie ◽  
Jim Stanford ◽  
Dan Nahum

This article critically analyses the opportunities for Australia to revitalise its strategically important manufacturing sector in the wake of the COVID-19 pandemic. It considers Australia’s industry policy options on the basis of both advances in the theory of industrial policy and recent policy proposals in the Australian context. It draws on recent work from The Australia Institute’s Centre for Future Work examining the prospects for Australian manufacturing renewal in a post-COVID-19 economy, together with other recent work in political economy, economic geography and labour process theory critically evaluating the Fourth Industrial Revolution (i4.0) and its implications for the Australian economy. The aim of the article is to contribute to and further develop the debate about the future of government intervention in manufacturing and industry policy in Australia. Crucially, the argument links the future development of Australian manufacturing with a focus on renewable energy. JEL Codes: L50; L52; L78; O10; O13: O25; O44; P18; Q42


2014 ◽  
Vol 638-640 ◽  
pp. 2383-2387
Author(s):  
Tong Hua Mou ◽  
Fang Du

According to current research result on the meaning, foundation, and evaluation method of technological innovation of enterprise in Shenzhen, the character of the innovation can be summarized as: utilizing the demand of the current market as a guideline, cooperating with research centers and universities, applying most of the innovation in practice quickly. For the future work, the research could be focused on the factors which might affect the ability of technological innovation. Those factors could be either external such as external finance and government regulations, or it could be internal such as the size of the enterprise. At the same time it is necessary to establish the innovation and evaluation service system for small and medium sized enterprises (SMES).


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