Navigating the organizational AI journey: The phased AI transformation framework DOI

Jonny Holmström,

Johan Magnusson

Business Horizons, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Impact of AI on Customer Experience in Video Streaming Services: A Focus on Personalization and Trust DOI
Saif Ahmed, Norzalita Abd Aziz

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 20

Опубликована: Сен. 11, 2024

Язык: Английский

Процитировано

16

The need for an empirical research program regarding human–AI relational norms DOI Creative Commons
Madeline G. Reinecke, Andreas Kappes, Sebastian Porsdam Mann

и другие.

AI and Ethics, Год журнала: 2025, Номер 5(1), С. 71 - 80

Опубликована: Янв. 9, 2025

Abstract As artificial intelligence (AI) systems begin to take on social roles traditionally filled by humans, it will be crucial understand how this affects people’s cooperative expectations. In the case of human–human dyads, different relationships are governed norms: For example, two strangers—versus friends or colleagues—should interact when faced with a similar coordination problem often differs. How rise ‘social’ (and ultimately, superintelligent AI) complicate expectations about norms that should govern types relationships, whether human–AI? Do people expect AI adhere same dynamics as humans in given role? Conversely, they certain act more like AI? Here, we consider may pull apart between and human–AI detailing an empirical proposal for mapping these distinctions across relationship types. We see data resulting from our relevant understanding relationship–specific age AI, which also forecast potential resistance towards occupying roles. Finally, can form basis ethical evaluations: What adopt interactions, reinforce through responsible design, depends partly facts what find intuitive such interactions (along costs benefits maintaining these). Toward end paper, discuss relational change over time implications proposed research program.

Язык: Английский

Процитировано

2

Leveraging artificial intelligence and blockchain in accounting to boost ESG performance: the role of risk management and environmental uncertainty DOI
Nha Minh Nguyen, Malik Abu Afifa,

Vo Thi Truc Dao

и другие.

International journal of organizational analysis, Год журнала: 2025, Номер unknown

Опубликована: Март 4, 2025

Purpose This study aims to explore key questions within the context of Asian countries: How do artificial intelligence (AI) and blockchain adoption in accounting influence enterprise risk management environmental, social governance (ESG) performance? What role does have as a mediator this relationship? In addition, how environmental uncertainty shape interplay between AI accounting, ESG Design/methodology/approach The authors collected data from Thomson Reuters Eikon Datastream, initially targeting 20 countries with highest gross domestic product (GDP) per capita. Using stringent selection criteria, research sample included 22,212 firms these Bahrain, China, Hong Kong, Indonesia, Israel, Japan, Jordan, Kazakhstan, South Korea, Kuwait, Lebanon, Malaysia, Oman, Qatar, Saudi Arabia, Singapore, Sri Lanka, Thailand, United Arab Emirates Vietnam. After rigorous screening process, final comprised 1,742 firms, representing 17,420 firm-year observations over 2014–2023 period. paper applied maximum likelihood structural equation modeling analyze data. Findings findings reveal that both along management, positively impact performance context. Enterprise serves mediating factor performance. significantly moderates relationships well Practical implications uncovers internal factors – such external factors, notably uncertainty, fostering sustainable value for firms. Internal enable integrate considerations into their operations, facilitating mitigation enhancing Meanwhile, heightened drives practices. Consequently, Governments should prioritize development regions characterized by high advance national goals encourage responsible business Originality/value contributes existing literature uncovering combined effects on performance, offering empirical evidence GDP Specifically, it underscores efficacy moderating

Язык: Английский

Процитировано

2

The Role of Generative Artificial Intelligence in Digital Agri-Food DOI Creative Commons
Sakib Shahriar, Maria G. Corradini, Shayan Sharif

и другие.

Journal of Agriculture and Food Research, Год журнала: 2025, Номер unknown, С. 101787 - 101787

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

2

A review of medical tourism entrepreneurship and marketing at regional and global levels and a quick glance into the applications of artificial intelligence in medical tourism DOI

Maryam Sadat Reshadi,

Azimeh Mohammadi Chehragh

AI & Society, Год журнала: 2025, Номер unknown

Опубликована: Янв. 7, 2025

Язык: Английский

Процитировано

1

Internal business process governance and external regulation: How does AI technology empower financial performance? DOI

Xuanmei Cheng,

Min Du,

Chengnuo Yan

и другие.

International Review of Financial Analysis, Год журнала: 2025, Номер unknown, С. 103927 - 103927

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Navigating the future of AI in marketing: AI integration across borders, ethical considerations, and policy implications DOI
Suraksha Gupta, Yichuan Wang, Parth Patel

и другие.

International Journal of Information Management, Год журнала: 2025, Номер 82, С. 102871 - 102871

Опубликована: Янв. 23, 2025

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

Unlocking AI capabilities: exploring strategic fit, innovation ambidexterity and digital entrepreneurial intent in driving digital transformation DOI
Zeshan Ahmad

Journal of Management Development, Год журнала: 2025, Номер unknown

Опубликована: Фев. 12, 2025

Purpose The insurgence of the COVID-19 pandemic insinuated that family-owned small hotels (F-OSH) should adopt AI capabilities and innovation activities digitize their operations to survive. This study examines potential digitally transform F-OSHs by leveraging ambidexterity, preparing them for future disasters proactively. Additionally, it sheds light on how impact ambidexterity varies based strategic fit. In addition, this research explores influence digital entrepreneurial intention fostering essential transformation in F-OSHs. Design/methodology/approach collected primary data from 318 descendant entrepreneurs designated as chairpersons or managing directors F-OSH analyzed using partial least structural equation modeling technique. Findings found a positive association capabilities, with F-OSHs, while fit does not have an ambidexterity. Innovation mediates relationship between Moreover, strong increases effect Furthermore, high entrepreneurship reduces Practical implications combination has transformed F-OSHs' transformation. proactive approach dealing economic recessions such is also influenced Originality/value Anchored dynamic capability theory, provides valuable insights novel empirical evidence investigating mediating mechanism boundary condition

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