Boundary objects, knowledge integration, and innovation management: A systematic review of the literature DOI Creative Commons
Marta Caccamo, Daniel Pittino, Fredrik Tell

et al.

Technovation, Journal Year: 2022, Volume and Issue: 122, P. 102645 - 102645

Published: Oct. 20, 2022

Enabling collaboration across disciplines, business functions, departments, organizations, and industries is a critical innovation management challenge. Successful depends on effective knowledge integration among diverse actors. The concept of boundary objects to achieve has gained increasing popularity within management. Despite the growing relevance, existing literature reviews about are sparse. This review examines how enable through systematic analysis. An integrating framework scholarship links contributions key theoretical perspectives study spanning for integration. Relevant publications identified discussed according three themes: information processing, cognitive, learning perspective Potential broader theorizing highlighted in relation settings: cross-functional collaboration, open innovation, staged product development processes.

Language: Английский

Unlocking the value of artificial intelligence in human resource management through AI capability framework DOI
Soumyadeb Chowdhury, Prasanta Kumar Dey, Sian Joel-Edgar

et al.

Human Resource Management Review, Journal Year: 2022, Volume and Issue: 33(1), P. 100899 - 100899

Published: March 23, 2022

Language: Английский

Citations

430
The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT DOI Creative Commons
Krzysztof Wach, Cong Doanh Duong, Joanna Ejdys

et al.

Entrepreneurial Business and Economics Review, Journal Year: 2023, Volume and Issue: 11(2), P. 7 - 30

Published: Jan. 1, 2023

Objective: The objective of the article is to provide a comprehensive identification and understanding challenges opportunities associated with use generative artificial intelligence (GAI) in business.This study sought develop conceptual framework that gathers negative aspects GAI development management economics, focus on ChatGPT. Research Design & Methods:The employed narrative critical literature review developed based prior literature.We used line deductive reasoning formulating our theoretical make study's overall structure rational productive.Therefore, this should be viewed as highlights controversies threats ChatGPT case study.Findings: Based conducted deep extensive query academic subject well professional press Internet portals, we identified various controversies, threats, defects, disadvantages GAI, particular ChatGPT.Next, grouped into clusters summarize seven main see.In opinion they are follows: (i) no regulation AI market urgent need for regulation, (ii) poor quality, lack quality control, disinformation, deepfake content, algorithmic bias, (iii) automationspurred job losses, (iv) personal data violation, social surveillance, privacy (v) manipulation, weakening ethics goodwill, (vi) widening socio-economic inequalities, (vii) technostress.Implications Recommendations: It important regulate AI/GAI market.Advocating crucial ensure level playing field, promote fair competition, protect intellectual property rights privacy, prevent potential geopolitical risks.The changing requires workers continuously acquire new (digital) skills through education retraining.As training systems becomes prominent category, it adapt take advantage opportunities.To mitigate risks related developers must prioritize ethical considerations work user security.To avoid manipulation weaken implement responsible practices guidelines: transparency usage, bias mitigation techniques, monitoring generated content harmful or misleading information.Contribution Value Added: This may aid bringing attention significance resolving legal arise from by drawing hazards these technologies.

Language: Английский

Citations

247
Reimagining global food value chains through effective resilience to COVID-19 shocks and similar future events: A dynamic capability perspective DOI Creative Commons
Imran Ali, Ahmad Arslan, Md. Maruf Hossan Chowdhury

et al.

Journal of Business Research, Journal Year: 2021, Volume and Issue: 141, P. 1 - 12

Published: Dec. 10, 2021

The restructuring of global value/supply chains gained increasing attention as the unprecedented COVID-19 echoed around world. Yet, related theory-driven, large scale quantitative, and empirical studies are relatively scarce. This study advances extant literature by empirically investigating how do firms in food value (GFVCs) re-imagine their businesses structure response to COVID-19-becoming more resilient competitive current pandemic similar future events. We leverage a unique data 231 senior managers Australian GFVCs examine firms' strategies. Drawing upon key insights from dynamic capability view, we find that GFVCs' competitiveness is achieved when exposure shocks elicits capabilities-readiness, response, recovery-and these capabilities work jointly sequentially cultivate resilience. A finding this with domestic plus chain partners than those having only business partners. implies excessive reliance on offshoring sometimes becomes lethal, especially amid unexpected prolonged and, therefore, companies should strike balance between remain competitive. These findings offer important contributions theory, practice, UN sustainable development goals.

Language: Английский

Citations

158
Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda DOI Creative Commons
Araz Zirar, Syed Imran Ali, Nazrul Islam

et al.

Technovation, Journal Year: 2023, Volume and Issue: 124, P. 102747 - 102747

Published: March 15, 2023

Workplace Artificial Intelligence (AI) helps organisations increase operational efficiency, enable faster-informed decisions, and innovate products services. While there is a plethora of information about how AI may provide value to workplaces, research on workers can coexist in workplaces evolving. It critical explore emerging themes agendas understand the trajectory scholarly this area. This study's overarching question will with workplaces. A search protocol was employed find relevant articles Scopus, ProQuest, Web Science databases based appropriate specific keywords article inclusion exclusion criteria. We identified four themes: (1) Workers' distrust workplace stems from perceiving it as job threat, (2) entices worker-AI interactions by offering augment worker abilities, (3) coexistence require workers' technical, human, conceptual skills, (4) Workers need ongoing reskilling upskilling contribute symbiotic relationship AI. then developed propositions questions for future research. review makes contributions: argues that an existential argument better explains AI, gathers required skills groups them into suggests technical benefit but cannot outweigh human offers 20 evidence-informed guide inquiries.

Language: Английский

Citations

132
Maturity assessment for Industry 5.0: A review of existing maturity models DOI Creative Commons
Franziska Hein-Pensel,

Heiner Winkler,

Anja Brückner

et al.

Journal of Manufacturing Systems, Journal Year: 2022, Volume and Issue: 66, P. 200 - 210

Published: Dec. 21, 2022

With the introduction of Industry 5.0, a new paradigm shift is planned. Whereas 4.0 still focused primarily on economic objectives to be achieved through digital transformation and automation monotonous work processes, 5.0 will also bring in social ecological objectives. The focus holistic, sustainable, human-centered value creation. Thus, complexity digitalization increasing with implementation direct collaboration between humans machines. In particular, small medium-sized enterprises (SMEs) are faced major challenges as they have limited resources for implementing successful strategy. This makes use maturity models (MMs) valuable tool shaping strategically aligned transition companies. this context, paper reviews whether currently existing MMs address specific requirements sufficiently consider approach along assessment readiness disruptive technologies companies (especially SMEs). study examines part systematic literature review. A total 297 German- English-language publications were found systematically investigated, which 24 provided sufficient scientific information end. These categorized using self-developed evaluation matrix. Furthermore, evaluated discussed regarding their applicability SMEs. Through analysis, key characteristics identified, can serve basis development an

Language: Английский

Citations

110
Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework DOI
Ashish Malik, Pawan Budhwar, Bahar Ali Kazmi

et al.

Human Resource Management Review, Journal Year: 2022, Volume and Issue: 33(1), P. 100940 - 100940

Published: Nov. 16, 2022

Language: Английский

Citations

91
Artificial Intelligence and Human Resources Management: A Bibliometric Analysis DOI Creative Commons
Pedro R. Palos‐Sánchez, Pedro Baena‐Luna,

A. Badicu

et al.

Applied Artificial Intelligence, Journal Year: 2022, Volume and Issue: 36(1)

Published: Nov. 18, 2022

Artificial Intelligence (AI) is increasingly present in organizations. In the specific case of Human Resource Management (HRM), AI has become relevant recent years. This article aims to perform a bibliometric analysis scientific literature that addresses connected way application and impact field HRM. The databases consulted were Web Science Scopus, yielding an initial number 156 articles, which 73 selected for subsequent analysis. information was processed using Bibliometrix tool, provided on annual production, journals, authors, documents, keywords, etc. results obtained show applied HRM developing study with constant growth positive future vision, although it should also be noted very character as result fact most research focused recruitment selection actions, leaving aside other sub-areas great potential application.

Language: Английский

Citations

85
Social media platforms and social enterprise: Bibliometric analysis and systematic review DOI
Imran Ali, Maria Balta, Θάνος Παπαδόπουλος

et al.

International Journal of Information Management, Journal Year: 2022, Volume and Issue: 69, P. 102510 - 102510

Published: March 16, 2022

Language: Английский

Citations

81
Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review DOI Open Access
Imran Ali, Devika Kannan

Annals of Operations Research, Journal Year: 2022, Volume and Issue: 315(1), P. 29 - 55

Published: March 31, 2022

Language: Английский

Citations

69
AI-Augmented HRM: Literature review and a proposed multilevel framework for future research DOI Creative Commons
Verma Prikshat,

Mohammad Islam,

Parth Patel

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 193, P. 122645 - 122645

Published: May 24, 2023

The research using artificial intelligence (AI) applications in HRM functional areas has gained much traction and a steep surge over the last three years. extant literature observes that contemporary AI have augmented HR functionalities. AI-Augmented HRM(AI) assumed strategic importance for achieving domain-level outcomes organisational sustainable competitive advantage. Moreover, there is increasing evidence of reviews pertaining to use different management disciplines (i.e., marketing, supply chain, accounting, hospitality, education). There considerable gap existing studies regarding focused, systematic review on HRM(AI), specifically multilevel framework can offer scholars platform conduct potential future research. To address this gap, authors present (SLR) 56 articles published 35 peer-reviewed academic journals from October 1990 December 2021. purpose analyse context chronological distribution, geographic spread, sector-wise theories, methods used) theoretical content (key themes) identify gaps robust Based upon SLR, noticeable gaps, mainly stemming - unequal distribution previous terms smaller number sector/country-specific studies, absence sound base/frameworks, more routine functions(i.e. recruitment selection) significantly less empirical We also found minimal links organisational-level outcomes. overcome we propose offers researchers draw linkage among diverse variables starting contextual level eventually enhance operational financial performance.

Language: Английский

Citations

60