Communicative Channels of Stakeholder Interaction as an Element of Ensuring Sustainable Development of the Business Sector DOI Creative Commons

Olena Chygryn,

Yevheniia Ziabina, Andrii Iskakov

et al.

E3S Web of Conferences, Journal Year: 2023, Volume and Issue: 456, P. 02001 - 02001

Published: Jan. 1, 2023

Given the rapid globalization and intensive development of information communication technologies, an increasing number stakeholders are participating in various business processes. The paper aims to conduct a systematic structural analysis trends features stakeholders’ engagement channels companies’ activity following implementation tasks sustainable development. Analyzing features, priorities implementing goals for will be provided based on KPMG Survey Sustainability Reporting. countries’ rates reporting illustrates steadily growing dynamics publicly available presentation results environmental activities, which indicates actualization ensuring transparent permissive relations among subjects economic activity. priority shows heterogeneity preferences. most urgent SDGs SDG7, SDG8, SDG9, SDG12, SDG13. Ukrainian requirements involvement decision-making EU policy SDGs’ testified compliance with European legislation by indicators obligations, responsibility public consultation disclosure, duration complaint mechanism. At same time, that describe participants process, communication, reports were not well regulated. Building trusting relationships involving consultations promote formation positive green image brand company growth market capitalization.

Language: Английский

الدور الوسيط للذكاء الاصطناعي القابل للتفسير في العلاقة بين حوكمة البيانات والأداء المؤسسي DOI Creative Commons

مديح ناير الجداوي

المجلة العربية للعلوم الإدارية., Journal Year: 2024, Volume and Issue: 30(1), P. 67 - 13

Published: June 4, 2024

هدف الدراسة: تهدف الدراسة إلى تعرّف أثر حوكمة البيانات في الأداء المؤسسي عبر الذكاء الاصطناعي القابل للتفسير بوصفه متغيراً وسيطاً.تصميم/ منهجية/ طريقة تنتمي هذه الدراسات الوصفية التحليلية؛ إذ تساعد تحليل الظاهرة محل من خلال الحصول على معلومات عنها، ووصف متغيراتها، وتحديد العلاقة بين المتغيرات.عينة وبياناتها: اعتمدت منهج المسح الاجتماعي بطريقة العينة لآراء عينة عشوائية، قوامها 384 المديرين التنفيذيين لتقنية المعلومات الملمين بتقنيات الاصطناعي، وجمعت باستخدام أداة الاستبانة.نتائج توصلت استنتاجات عدة، أهمها أن الممارسات المتعلقة بمتغيرات الثلاثة متوافرة بدرجة مرتفعة المنظمات، ووجود اختلاف معنوي تقديرات الخبراء نحو درجة ممارسة منظماتهم للذكاء وفقاً لاختلاف عدد سنوات الخبرة، وأن يلعبدور الوساطة الجزئية المكملة علاقة بالأداء المؤسسي؛ بلغ التأثير غير المباشر وسيطاً (0.144) والتأثير لحوكمة (0.452)؛ مما يعني الكلي قدره (0.596).أصالة لم يتم قياس تأثير المتغير المستقل (حوكمة البيانات) والمتغير التابع (الأداء المؤسسي) العربية والإنجليزية السابقة، قدر علمنا.حدود وتطبيقاتها: الحدود البشرية: طبقت الاصطناعي.الحدود الزمنية: أجريت فترة زمنية محددة استغرقت ثلاثة أشهر.الحدود الموضوعية: اقتصرت متغيرات، هي: البيانات، والذكاء للتفسير، والأداء المؤسسي.

Citations

11
The Impact of Artificial Intelligence (AI) on Marketing Strategy DOI Creative Commons
Asep Supriadi

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(1), P. 146 - 153

Published: Jan. 31, 2024

This research explores the impact of artificial intelligence (AI) on marketing strategy with a focus contextual understanding consumers, increasing operational efficiency, better personalization content, decision-making effectiveness, and need for integration expertise. Through systematic literature analysis, this identifies positive potential challenges faced by companies in adopting AI technology their strategies. The results provide deep insight into how can shape modern deliver significant benefits.

Language: Английский

Citations

6
Perception of Artificial Intelligence: GSR Analysis and Face Detection DOI Creative Commons
Oleksii Lyulyov, Tetyana Pimonenko, Alfonso Infante Moro

et al.

Virtual Economics, Journal Year: 2024, Volume and Issue: 7(2), P. 7 - 30

Published: June 23, 2024

This study explored the perception of artificial intelligence (AI) through GSR analysis and facial expression detection across eight different video stimuli. The results indicate that one elicited highest cognitive engagement, while another showed significant engagement both frequency intensity responses. Certain videos displayed a lower but higher Shapiro‒Wilk Levene’s tests validated use ANOVA, confirming normality homogeneity variances. Despite variations in mean peaks per minute, ANOVA revealed no differences physiological responses among interaction types. Gender similar high to AI stimuli for males females, with most eliciting statistically minute. Affectiva AFFDEX SDK classifier analysed emotional responses, revealing joy was predominantly video, sadness. Anger fear were nearly non-existent, contempt varied, showing response. Disgust surprise generally low. These findings highlight importance content engaging viewers utility understanding AI's impact on user perception. research provides insights into AI-related stimuli, emphasizing need tailored enhance interaction. study's implications extend marketing, education, healthcare, where optimizing can lead improved outcomes satisfaction.

Language: Английский

Citations

6
AI and Customer Experience: Personalization and Engagement in Middle Eastern Markets DOI
Nada Jabbour Al Maalouf, Nada Sarkis

Published: Jan. 1, 2025

Language: Английский

Citations

0
Artificial Intelligence in Digital Marketing: Towards an Analytical Framework for Revealing and Mitigating Bias DOI Creative Commons

C REED,

Martín Wynn, Robin Bown

et al.

Big Data and Cognitive Computing, Journal Year: 2025, Volume and Issue: 9(2), P. 40 - 40

Published: Feb. 12, 2025

Artificial intelligence (AI) affects many aspects of modern life, and most predictions are that the impact AI on business society will only increase. In marketing function today’s leading businesses, two main types can be discerned. Traditional centres supervised learning algorithms to support enable application data rules, predictive functionality other AI-based features. Generative AI, hand, uses large language model (LLM) sets user prompts generate new content. While AI-generated applications content boost efficiency, they also present challenges regarding transparency authenticity, question bias is central these concerns. This article adopts a qualitative inductive approach research this issue in context global software supplier. Based systematic literature review in-depth interviews with company marketeers, perceived issues coding, prompting deployment digital identified. Then, based provisional conceptual framework derived from extant literature, an analytical for revealing mitigating put forward, incorporating perspectives industry-based practitioners. The used as checklist activities which may exist either traditional or generative across different stages customer journey. thus contributes development theory practice management interest researchers practitioners operational guide point departure subsequent studies.

Language: Английский

Citations

0
Impact of Generative Artificial Intelligence on Footwear Design Concept and Ideation DOI Creative Commons

Shih-Hung Cheng

Published: Nov. 30, 2023

The impact of Generative artificial intelligence (GAI) on footwear design creativity and feasibility was investigated in this study. Using a text-to-image GAI tool called Midjourney, 17 prompts were tested to generate concepts. Ten distinct outcomes selected from the results evaluated by seven experts design. Prompt implementation correlated weakly positively with feasibility. A set Japanese style showed significantly higher due explicit descriptions. Sharp generative features had but lower Concepts generated without subcategories induced prompt implementation. These findings offer insights into GAI's role innovation.

Language: Английский

Citations

9
AI in Marketing Management: Executive Perspectives from Companies DOI Creative Commons
Luis-Alfonso Maldonado-Canca, Juan-Pedro Cabrera-Sánchez, Eva María González Robles

et al.

Marketing and Management of Innovations, Journal Year: 2024, Volume and Issue: 15(4), P. 42 - 55

Published: Jan. 1, 2024

The integration of artificial intelligence (AI) in marketing and business communication is transforming corporate strategies, offering significant opportunities while presenting notable challenges. This study examines the factors influencing AI adoption by companies, focusing on perspectives CEOs. Using a survey 409 senior executives from Spanish firms, this research develops an advanced framework based unified theory acceptance use technology (UTAUT), enriched with additional constructs.The findings reveal that effort expectancy facilitating conditions are critical drivers adoption. aversion, reflecting concerns about distrust, complexity, ethical risks, emerges as barrier, particularly for CEOs smaller where its impact notably stronger. Relative advantage perceived value also influence intentions, albeit to lesser degree, indicating benefits tangible outcomes improving processes such segmentation, automation, predictive analytics. Key differences arise between companies varying revenue sizes: firms exhibit greater aversion AI, whereas larger organisations focus maximizing their strategic drive innovation. These insights highlight importance tailored approaches, financial incentives, pilot programs, targeted training, reduce encourage across diverse organizational contexts. contributes academic discourse extending UTAUT address emerging challenges Practically, it provides actionable strategies leaders human-centric technological barriers, fostering more efficient data-driven process. By comprehensive understanding enablers barriers adoption, equips harness AI’s full potential, enhancing competitive increasingly digital landscape.

Language: Английский

Citations

2
The Influence of Digital Technology on Marketing Strategy DOI Creative Commons

Elisa Purnawati

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(3), P. 432 - 446

Published: March 27, 2024

The alignment of Artificial Intelligence (AI) Technology in marketing has revolutionized market segmentation and strategies. This paper examines the factors that influence relationship between use AI strategy, including data resource availability, organizational readiness corporate culture, legal ethical considerations. Through a comprehensive literature review analysis, this study identifies key hypotheses discusses their implications for future research practice. Despite challenges such as privacy concerns dilemmas, integration provides significant opportunities enhanced customer experiences better business performance.

Language: Английский

Citations

1
An Examination of the Utilization of Artificial Intelligence Technologies by Advertising Agencies DOI Creative Commons
Görkem Bir, Simge AKSU

Yeni Medya Dergisi, Journal Year: 2024, Volume and Issue: unknown

Published: June 10, 2024

This article aims to discover the mechanisms behind adoption and acceptance of AI in advertising industry Turkey. Semi-structured interviews reflecting technology literature conducted with agency practitioners usages conditions supported applications. Participants are selected accordance convenience snowball sampling methods. The results provide important insights into four main strands literature: Technology usefulness, ease use, attitudes toward technologies barriers preventing restricting use technologies. It is understood that effectively utilize their business processes highlighting its contribution efficiency creative production. While being actively utilized, process understanding exploring still ongoing background. In line literature, point out skepticism exists among advertisers. noticable as a result finding tools useful easy overall attitude participants tend be positive. asserted they do not have any concerns about replaced by AI. Their confidence on this matter seems based idea could most efficient cooperation human intelligence.

Language: Английский

Citations

1
AI in Communication: Theoretical Perspectives, Ethical Implications, and Emerging Competencies DOI
Aleksandra Mirek-Rogowska, Wojciech Kucza, Krzysztof Gajdka

et al.

Communication Today, Journal Year: 2024, Volume and Issue: unknown, P. 16 - 29

Published: Nov. 24, 2024

Artificial intelligence (AI) is rapidly transforming communication processes across various sectors, including marketing, education, healthcare, and entertainment. This study explores the theoretical perspectives surrounding AI’s integration into communication, examining how AI-driven tools such as ChatGPT, MidJourney, Google Gemini are reshaping content creation, personalisation, human-machine interaction. While AI enhances efficiency allows for real-time customisation of messages, it also presents ethical challenges related to privacy, data security, algorithmic bias. By synthesising key academic studies, outlines critical considerations, risks deepfakes disinformation, emphasises need frameworks guide responsible use. The text discusses new digital competencies required navigate AI-enhanced environments, literacy, proficiency, reasoning. Through a systematic literature review, this contributes ongoing discourse on role in by offering comprehensive framework that highlights both opportunities limitations technologies. Future research should focus addressing gaps empirical particularly concerning long-term impacts decision-making governance AI-generated content.

Language: Английский

Citations

1