Enhancing B2B sales through digital transformation: Insights into effective sales enablement DOI
Sandip Mukhopadhyay, Harri Terho, Rakesh Kumar Singh

и другие.

Industrial Marketing Management, Год журнала: 2024, Номер 125, С. 29 - 47

Опубликована: Дек. 18, 2024

Язык: Английский

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, Год журнала: 2025, Номер unknown, С. 35 - 68

Опубликована: Янв. 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.

Язык: Английский

Процитировано

1

Is it really unreal? A two-theory approach on the impact of deepfakes technology on the protection motivation of consumers DOI Creative Commons
Dhanya Pramod, Kanchan Patil, S. Vijayakumar Bharathi

и другие.

Cogent Business & Management, Год журнала: 2025, Номер 12(1)

Опубликована: Фев. 5, 2025

Язык: Английский

Процитировано

1

How does AI affect the self-actualization of content creators in dynamic environments? A knowledge management perspective DOI
Mingsheng Wang,

Yongzhong Yang,

Pauline Zhong

и другие.

Technology in Society, Год журнала: 2025, Номер unknown, С. 102855 - 102855

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Artificial Intelligence (AI) and the Future of Marketing Trends DOI

Ajay Sharma,

Prashant Sharma,

Ripudaman Gaur

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 23 - 46

Опубликована: Фев. 28, 2025

AI in customer engagement chatbots and voice assistants are AI-driven tools that improve give businesses the ability to provide individualized experiences by conducting sentiment analysis. Nonetheless, issues like data privacy concerns, algorithmic bias, ethical challenges remain, which still need proper regulations drafting more transparency. Even with these challenges, has vast potential, including sustainable marketing, omni-channel strategies, AI-generated content. The future of marketing powered lies around integrating technology emotional intelligence thereby making strategy centric towards consumer leading a trust factor driving brand loyalty. Businesses adopting AI-powered solutions will rise above all competition growing digital world. Tackling head-on be critical unleashing AI's full potential for transformation.

Язык: Английский

Процитировано

1

Digital brand equity: The concept, antecedents, measurement, and future development DOI Creative Commons
Stephen L. France, Nebojsa S. Davcik, Brett Kazandjian

и другие.

Journal of Business Research, Год журнала: 2025, Номер 192, С. 115273 - 115273

Опубликована: Март 11, 2025

Язык: Английский

Процитировано

1

Artificial Intelligence-Driven Recommendations and Functional Food Purchases: Understanding Consumer Decision-Making DOI Creative Commons

Wenxin Wang,

Chen Zhiguang, Jiwei Kuang

и другие.

Foods, Год журнала: 2025, Номер 14(6), С. 976 - 976

Опубликована: Март 13, 2025

Amid rapid advancements in artificial intelligence (AI), personalized recommendation systems have become a key factor shaping consumer decision-making functional food purchases. However, the influence of AI characteristics on purchase intention, particularly underlying mediating mechanisms, remains underexplored. This study aims to investigate how features (personalization and transparency), along with attributes (perceived health benefits perceived naturalness), intention through roles packaging value. Grounded Stimulus-Organism-Response framework, data were collected via structured questionnaire survey, structural equation modeling was employed for hypothesis testing model validation. The results indicate that personalization significantly enhances both directly indirectly, while transparency influences only value, emphasizing its role fostering trust rather than driving purchasing behavior. Additionally, positively mediation, whereas naturalness affects indirectly These findings contribute behavior research by elucidating psychological mechanisms AI-driven decisions also providing insights marketers effectively integrate enhance engagement.

Язык: Английский

Процитировано

1

Artificial intelligence adoption dynamics and knowledge in SMEs and large firms: A systematic review and bibliometric analysis DOI
Samuel Godadaw Ayinaddis

Journal of Innovation & Knowledge, Год журнала: 2025, Номер 10(3), С. 100682 - 100682

Опубликована: Март 23, 2025

Язык: Английский

Процитировано

1

Novel Approaches to Analyze Consumer Behavior and Policies to Promote Sustainable Consumption DOI Creative Commons
Bhagyashree Katare, Xuejian Wang, Shuoli Zhao

и другие.

Agricultural Economics, Год журнала: 2025, Номер unknown

Опубликована: Апрель 16, 2025

ABSTRACT Technological advancements, such as online grocery shopping, have significantly transformed consumer retail environments and experiences. Effectively studying behavior in these new requires the use of novel methodological approaches, which will also aid developing interventions to encourage sustainable consumption. This paper begins by providing an overview current literature on approaches analyzing behavior, then provides empirical application examining decision‐making pathways within shopping platform. Specifically, focuses exploring consumers' digital footprints, page visits, product additions removals, interactions with information labels identify patterns interests responses healthy Findings highlight potential benefits integrating search tracking data environmental design facilitate informed conscious food choices.

Язык: Английский

Процитировано

1

The Impact of Artificial Intelligence Marketing on E-Commerce Sales DOI Creative Commons
Mitra Madanchian

Systems, Год журнала: 2024, Номер 12(10), С. 429 - 429

Опубликована: Окт. 12, 2024

This review explores the influence of AI marketing on e-commerce sales, examining how AI-driven strategies affect key metrics such as customer acquisition and conversion rates. Given growing importance in online retail, this paper employs a critical methodology, analyzing 50 documents from Scopus database. The analysis reveals that tools like chatbots, personalization engines, predictive analytics significantly enhance performance. study provides practical theoretical contributions, offering recommendations for businesses suggesting future research directions.

Язык: Английский

Процитировано

6

Metaverse platform attributes and customer experience measurement DOI Creative Commons
Syed Mahmudur Rahman, Noman H. Chowdhury, Jana Bowden

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 83, С. 104159 - 104159

Опубликована: Ноя. 26, 2024

Язык: Английский

Процитировано

6