Artificial Intelligence and Job Automation: Challenges for Secondary Students’ Career Development and Life Planning DOI Creative Commons
Lawrence P. W. Wong

Merits, Год журнала: 2024, Номер 4(4), С. 370 - 399

Опубликована: Ноя. 7, 2024

Artificial intelligence (AI) technologies with human-level cognitive abilities are increasingly integrated into workplaces, posing risks of job displacement and redundancy. Understanding AI’s impact on automation is thus essential, as it helps students understand which occupational roles likely to be automated. However, there a lack coherent understanding this topic due the diverse research methodologies deployed, leading formation fragmented inconsistent insights. This article reviews career literature global reports from expert sources (e.g., World Economic Forum) provide an overview influence sectors skills need thrive in technologically disrupted workplace. The findings emphasize importance developing human-centric skills.

Язык: Английский

AI Capability and Sustainable Performance: Unveiling the Mediating Effects of Organizational Creativity and Green Innovation with Knowledge Sharing Culture as a Moderator DOI Open Access
Md. Abu Issa Gazi, Md. Kazi Hafizur Rahman, Abdullah Al Masud

и другие.

Sustainability, Год журнала: 2024, Номер 16(17), С. 7466 - 7466

Опубликована: Авг. 29, 2024

The purpose of this study is to investigate the role AI capability (AIC) on organizational creativity (OC), green innovation (GI), and sustainable performance (SP). It also aims mediating roles OC GI, as well moderating knowledge sharing culture (KNC). This used quantitative methodology utilized a survey collect data from 421 employees in different organizations Bangladesh. We structural equation modeling (SEM) technique analyze data. finds that significantly influences OC, SP. GI work mediators, KNC serves moderator among suggested relationships. notable for its novelty examining multiple unexplored aspects current body research. research provides valuable insights policymakers practitioners regarding effective integration enhance competitiveness.

Язык: Английский

Процитировано

9

Artificial Intelligence and Green Innovation in Small and Medium-Sized Enterprises and Competitive-Advantage Drive Toward Achieving Sustainable Development Goals DOI Open Access
Panteha Farmanesh,

Niloofar Solati Dehkordi,

Asim Vehbi

и другие.

Sustainability, Год журнала: 2025, Номер 17(5), С. 2162 - 2162

Опубликована: Март 3, 2025

A significant portion of small and medium-sized enterprises (SMEs) are usually allocated to the construction sector, which plays a vital role in many economies. SMEs currently face serious concerns regarding pursuit sustainability. Limited financial resources (FRs) frequently prevent from implementing sustainable practices. Therefore, these should mitigate expenses invest environmentally friendly initiatives. Enhancing developing ways accelerate Turkish SMEs’ shift toward sustainability is vital. Moreover, adopting artificial intelligence (AI) green innovation strategies (GISs) can boost competitive advantage (SCA) lead them success. This study utilized natural resource-based view theory (NRBV), developed compensate for RBV’s shortcomings by incorporating environment into framework. uses structural equation modeling (SEM) examine causal effect between variables based on responses received 228 executives within Turkey’s sector. The findings this reveal that FRs significantly impact SCA among SMEs, while GIS serves as mediator relationship. Additionally, moderating AI adoption promotes development industry. because it contributes body knowledge relationship study’s constructs align with Sustainable Development Goal 9 (Industry, Innovation, Infrastructure), presented United Nations 2015. goal robust infrastructure, encourages inclusive industrialization, stimulates SME Although have been studied individually previous studies, integrates thorough framework emphasizes function SCA, interaction adoption. offers useful information managers, stakeholders, politicians, leaders, enabling make well-informed decisions about

Язык: Английский

Процитировано

0

Artificial intelligence and public environmental concern: Impacts on green innovation transformation in energy-intensive enterprises DOI
Zhao Xiongfei, Shuangjie Li

Energy Policy, Год журнала: 2024, Номер 198, С. 114469 - 114469

Опубликована: Дек. 18, 2024

Язык: Английский

Процитировано

1

Artificial Intelligence and Job Automation: Challenges for Secondary Students’ Career Development and Life Planning DOI Creative Commons
Lawrence P. W. Wong

Merits, Год журнала: 2024, Номер 4(4), С. 370 - 399

Опубликована: Ноя. 7, 2024

Artificial intelligence (AI) technologies with human-level cognitive abilities are increasingly integrated into workplaces, posing risks of job displacement and redundancy. Understanding AI’s impact on automation is thus essential, as it helps students understand which occupational roles likely to be automated. However, there a lack coherent understanding this topic due the diverse research methodologies deployed, leading formation fragmented inconsistent insights. This article reviews career literature global reports from expert sources (e.g., World Economic Forum) provide an overview influence sectors skills need thrive in technologically disrupted workplace. The findings emphasize importance developing human-centric skills.

Язык: Английский

Процитировано

0