Unpacking the relationship between entrepreneurial marketing activities and small firm performance DOI
Aliasghar Aliakbari, James M. Crick, Wei‐Fen Chen

et al.

International Journal of Entrepreneurial Behaviour & Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 17, 2024

Purpose A question remains unresolved in existing cross-disciplinary research at the marketing/entrepreneurship interface (MEI). This features circumstances when employing a combination of market-oriented and entrepreneurially-oriented activities, known as entrepreneurial marketing (EM) behavior, is likely to lead positive performance outcomes. Earlier mixed findings provide need unpack nuances EM practices, terms their boundary conditions, regarding where this behavior does or not performance-enhancing Consequently, purpose study examine complexities association between activities small firm by assessing quadratic moderating effects. Design/methodology/approach was underpinned resource-based theory (RBT). Survey responses were collected from 214 smaller-sized companies United Kingdom. The statistical data passed all major checks for reliability, different forms validity, common method variance endogeneity bias. Findings had connection with performance, relationship being enhanced (in two-way interaction effect) market dynamism (a counter-intuitive result environmental conditions). Surprisingly, through post-hoc test, coopetition (cooperation among competitors leverage assets overcome resource constraints) did play any influential part helping owner-managers potential downsides like time cost implications identifying exploiting opportunities (i.e., non-significant three-way effect). Originality/value Unique insights outline how decision-makers organizations can harness benefits, minimise drawbacks, activities. However, should be cautious implementing these organization-wide since they are enhance but only up fixed point. Indeed, excessive weaken firms’ performance. moderation effect challenges certain earlier findings. Specifically, some dynamic could performance-enhancing, environmental-level forces might assist amplify merits MEI implemented effectively.

Language: Английский

Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework DOI
Rameshwar Dubey, Angappa Gunasekaran, Θάνος Παπαδόπουλος

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 189, P. 103689 - 103689

Published: July 25, 2024

Language: Английский

Citations

12
Leveraging Artificial Intelligence (AI) for Resilience in Industry 5.0 DOI
Tunde Toyese Oyedokun,

James Aransiola Ishola

Advances in business strategy and competitive advantage book series, Journal Year: 2025, Volume and Issue: unknown, P. 35 - 68

Published: Jan. 31, 2025

The incorporation of Artificial Intelligence (AI) within Industry 5.0 significantly enhances resilience among small businesses. This chapter explores how AI transforms resilience, sustainability, and customer engagement strategies. With Small businesses can analyze large datasets to identify risks, optimize operations, deliver personalized experiences that align with consumer expectations. AI's ability process data efficiently allows anticipate market changes navigate uncertainties. Additionally, adopting fosters a culture encouraging employees embrace change. also supports sustainable practices by optimizing resource use reducing waste. Customer improves through AI-driven personalization, allowing tailor products services individual preferences. concludes recommendations for businesses: invest in employee training collaboration, ensure leadership commitment, prioritize foster adaptability thrive today's 5.0.

Language: Английский

Citations

1
Generative AI-enabled supply chain management: A coordination theory perspective DOI
Lixu Li, Yaoqi Liu, Yong Jin

et al.

International Journal of Production Economics, Journal Year: 2024, Volume and Issue: 277, P. 109388 - 109388

Published: Aug. 28, 2024

Language: Английский

Citations

6
Artificial Intelligence as a Catalyst for Management System Adaptability, Agility and Resilience: Mapping the Research Agenda DOI Creative Commons
Ion Popa, Simona Cătălina Ștefan,

Andrei Josan

et al.

Systems, Journal Year: 2025, Volume and Issue: 13(1), P. 47 - 47

Published: Jan. 12, 2025

Artificial intelligence (AI) is an increasingly notable presence in society, industries, and organizations, making its necessity felt more managerial decisions practices. This paper aims to outline the importance of topic related increase adaptability, agility, resilience management system as a result AI integration, resorting bibliometric type research. A total 107 papers from period 2007–2024 exported Web Science Core Collection database were analyzed, with support Biblioshiny software. proving be one heightened global interest, being comprehensively addressed by world leaders research technologies such United States, China, Great Britain, France, India, beyond. Collaborative relationships established between geographic regions are captured, noting power expansion theme on all continents globe. Likewise, thematic strategic evolution characterized surprising one, managing incorporate relate concepts strong technical IT character feature extraction, machine learning, reinforcement learning nature supporting customer-tailored interaction, employee skills development, company productivity, innovation.

Language: Английский

Citations

0
Migrant women entrepreneurship and health-related crisis: an intersectional perspective DOI
Oyedele Martins Ogundana, Ugbede Umoru, Deborah Ikhile

et al.

Management Decision, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 7, 2025

Purpose Using an intersectional lens, this article explores the disproportionate effect of health-related crises on vulnerable groups, specifically focusing migrant women entrepreneurs and exacerbated by ingrained societal biases related to gender, ethnicity class. Design/methodology/approach Employing inductive, phenomenological approach, we conducted face-to-face interviews with affected COVID-19 pandemic. Supplementing our findings, analysed documents such as UK policy briefings government task force meeting reports. Findings Our research uncovered a substantial decline in customer base entrepreneurs, which was attributed perceived susceptibility virus. Balancing business responsibilities childcare resulted significant time commitment, influencing mood, well-being, family welfare financial stability. Through highlight that issue intersectionality extends beyond sociocultural factors encompass disruptive events like crises. To mitigate adverse effects, advocate for undertake crucial entrepreneurial actions, embrace orientations, utilise available support systems cultivate essential soft skills. Originality/value Emphasising holistic underscores necessity addressing multifaceted challenges faced during health crises, contributing significantly broader understanding dimensions.

Language: Английский

Citations

0
Generative Artificial Intelligence (GenAI) in entrepreneurial education and practice: emerging insights, the GAIN Framework, and research agenda DOI
Yogesh K. Dwivedi

International Entrepreneurship and Management Journal, Journal Year: 2025, Volume and Issue: 21(1)

Published: March 28, 2025

Language: Английский

Citations

0
Generative artificial intelligence in tourism management: An integrative review and roadmap for future research DOI
Hengyun Li, Jianpu Xi, Cathy H. C. Hsu

et al.

Tourism Management, Journal Year: 2025, Volume and Issue: 110, P. 105179 - 105179

Published: March 31, 2025

Language: Английский

Citations

0
The Role of Social Media and Artificial Intelligence (AI) in Enhancing Digital Marketing Resilience During Crises DOI Open Access
Bora Gündüzyeli

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3134 - 3134

Published: April 2, 2025

In an increasingly interconnected world, businesses may face the challenge of managing crises, whether they are economic downturns, natural disasters, or global pandemics. During such times, building strong and sustainable marketing resilience becomes crucial for aiming to survive thrive. Digital technologies—particularly social media platforms artificial intelligence (AI)—can play a vital role in enhancing resilience. This research seeks answer core question: “How can AI technologies help build during crises”? Drawing from literature review, this study analyzes wide range relevant research. The findings indicate that together contribute crises by enabling real-time engagement, data-driven decision-making, personalized communication. However, these also present challenges, as privacy concerns, algorithmic bias, potential risks brand reputation. contributes field analyzing how enable companies remain agile, reduce impact maintain sustainability objectives their practices.

Language: Английский

Citations

0
Generative artificial intelligence and the challenges to adding value ethically DOI
Samuel Fosso Wamba, Maciel M. Queiroz, Krithika Randhawa

et al.

Technovation, Journal Year: 2025, Volume and Issue: 144, P. 103235 - 103235

Published: April 8, 2025

Language: Английский

Citations

0
Exploring job embeddedness in the era of artificial intelligence (AI) and machine learning: a bibliometric analysis and future trends DOI
Anjali Dimri, Pankaj Kumar, Deepshi Garg

et al.

Benchmarking An International Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 11, 2025

Purpose As artificial intelligence (AI) and machine learning (ML) technologies continue to revolutionize various industries, understanding their impact on job embeddedness becomes crucial. This study examine the role of AI ML embeddedness, identifying key trends proposing future research directions. It seeks understand how these influence employee attachment within organizations. Design/methodology/approach uses bibliometric analysis assess 890 articles published from 2001 2023 its relationship with ML. The Scopus database is examined utilizing VOSviewer Biblioshiny applications determine themes deficiencies. visualizes intellectual landscape this area. Findings highlights growing interest in highlighting complex between adoption attachment, links fit. also emerging like AI-enabled talent management, remote work implications ethical considerations AI-driven workplaces. Research limitations/implications extent database, time period metadata correctness all provide restrictions investigation affect embeddedness. Nonetheless, results underscore need for empirical effects researchers useful insights. technological improvements influenced attitudes actions. Originality/value presents a comprehensive overview AI/ML technologies, techniques evaluate publications. reveals trends, identifies gaps suggests directions field.

Language: Английский

Citations

0