Exploring the Role of Artificial Intelligence in Achieving a Net Zero Carbon Economy in Emerging Economies: A Combination of PLS-SEM and fsQCA Approaches to Digital Inclusion and Climate Resilience DOI Open Access
Subhra Rani Mondal, Subhankar Das, Vasiliki Vrana

и другие.

Sustainability, Год журнала: 2024, Номер 16(23), С. 10299 - 10299

Опубликована: Ноя. 25, 2024

In this paper, we examine the role of artificial intelligence (AI) in sovereignty and carbon neutrality, emphasizing digital inclusion climate-resilient AI strategies for emerging markets. Considering previous studies on neutrality climate research along with technology policy frameworks as a guide, paper undertakes Partial Least Squares Structural Equation Modelling (PLS-SEM) outcomes. At same time, fuzzy-set Qualitative Comparative Analysis (fsQCA) is used to reveal different configurations leading achieving resilience. The model covers various aspects AI-enabled policy, including adoption, frameworks, literacy, public engagement. Survey data were collected from key stakeholders sectors, local communities using structured survey understand their attitudes towards negative emissions technologies prominent experts countries like Vietnam, Italy, Malaysia, Greece. PLS-SEM results importance developing critical strategic dimension (Data analytics capability support). Some fsQCA findings present heterogeneous outcomes, highlighting complex combinations inclusion, resilience which are industry-specific. This study would further enrich literature concerning by exploring AI, interactions. Theoretically, practical enriching suggestions future derived help infuse sustainable actions.

Язык: Английский

Exploring the Impact of Social Robot Design Characteristics on Users’ Privacy Concerns: Evidence from PLS-SEM and FsQCA DOI
Yongkang Chen,

Xingting Wu,

Fusheng Jia

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 22

Опубликована: Сен. 17, 2024

Язык: Английский

Процитировано

2

Crafting Robust Brands for Premium Pricing: Understanding the Synergy of Brand Strength, Loyalty, and Attachment DOI Creative Commons
Sofiane Laradi, Tawfiq Seraa, Mahmaod Alrawad

и другие.

Human Behavior and Emerging Technologies, Год журнала: 2024, Номер 2024(1)

Опубликована: Янв. 1, 2024

Consumers’ willingness to pay a price premium is pivotal for assessing brand value and competitive advantage. Yet, limited scattered research has focused on how combining emotion, strength, loyalty can influence consumers’ accept premium. The present study examines the role of attachment, in determining explores their interplay using serial mediation model within unified framework, specifically focusing home appliance brands. Data from 323 valid questionnaires collected Algerian households were analyzed PLS‐SEM. Results demonstrate that significantly positively influenced by loyalty. Furthermore, relationship between strength mediated attachment Grounded various theories addressing gaps captured previous studies, this considered pioneering field. This advances our understanding emotional bonds, relationships, findings highlight importance managers sustain robust brands stimulate opening extra, thereby achieving maintaining long‐term success market.

Язык: Английский

Процитировано

1

Avatars at risk: Exploring public response to sexual violence in immersive digital spaces DOI
Navneet Kumar Singh, Rajeev Kumar Ray,

Nikee Silayach

и другие.

Computers in Human Behavior, Год журнала: 2024, Номер 163, С. 108500 - 108500

Опубликована: Ноя. 12, 2024

Язык: Английский

Процитировано

0

Exploring Customer Engagement Intentions with Interactive Smart Tables of AI for Full-Service Restaurants Sustainability DOI
Ghada Taher Al-Lami, Hadi Al‐Abrrow, Hasan Oudah Abdullah

и другие.

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 168 - 186

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Maximizing the Marketing Capabilities and Digital Sustainability of B2B & B2C Platforms Using Artificial Intelligence DOI

Saad Kathim Khammat,

Abbas Gatea Atiyah

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 365 - 374

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Exploring University Faculty Members’ Sustainable Innovative Behavior of Work with Artificial Intelligence: A Review of the Literature DOI

Hafiza Saadia Sharif,

Al-Amin Mydin,

Israa M. Hayder

и другие.

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 157 - 167

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Towards Digital Sustainability: Integrating Canonical Correlation with Artificial Neural Network DOI

Ali Naser Hussein

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 328 - 341

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Exploring the Role of Artificial Intelligence in Achieving a Net Zero Carbon Economy in Emerging Economies: A Combination of PLS-SEM and fsQCA Approaches to Digital Inclusion and Climate Resilience DOI Open Access
Subhra Rani Mondal, Subhankar Das, Vasiliki Vrana

и другие.

Sustainability, Год журнала: 2024, Номер 16(23), С. 10299 - 10299

Опубликована: Ноя. 25, 2024

In this paper, we examine the role of artificial intelligence (AI) in sovereignty and carbon neutrality, emphasizing digital inclusion climate-resilient AI strategies for emerging markets. Considering previous studies on neutrality climate research along with technology policy frameworks as a guide, paper undertakes Partial Least Squares Structural Equation Modelling (PLS-SEM) outcomes. At same time, fuzzy-set Qualitative Comparative Analysis (fsQCA) is used to reveal different configurations leading achieving resilience. The model covers various aspects AI-enabled policy, including adoption, frameworks, literacy, public engagement. Survey data were collected from key stakeholders sectors, local communities using structured survey understand their attitudes towards negative emissions technologies prominent experts countries like Vietnam, Italy, Malaysia, Greece. PLS-SEM results importance developing critical strategic dimension (Data analytics capability support). Some fsQCA findings present heterogeneous outcomes, highlighting complex combinations inclusion, resilience which are industry-specific. This study would further enrich literature concerning by exploring AI, interactions. Theoretically, practical enriching suggestions future derived help infuse sustainable actions.

Язык: Английский

Процитировано

0