Why Should Users Take the Risk of Sustainable Use of Generative Artificial Intelligence Chatbots DOI Open Access
Serge-Lopez Wamba-Taguimdje, Samuel Fosso Wamba, Hossana Twinomurinzi

и другие.

Journal of Global Information Management, Год журнала: 2024, Номер 32(1), С. 1 - 32

Опубликована: Дек. 28, 2024

Despite the risks associated with generative AI (GenAI) chatbots, people increasingly use these technologies, which may seem contradictory. This study identified and explored factors related to trust, perceived values, satisfaction, sustainable of GenAI chatbots. Relying on IS theories build a stimulus-organism-response model, authors tested model using PLS-SEM data from 393 ChatGPT users. The results show that user competence autonomy dramatically increase user's trust in ChatGPT, improves hedonic value (HV), utilitarian (UV), value-in-use, task-technology fit (TTF), information accuracy, knowledge acquisition, informativeness, satisfaction. In addition satisfaction depends HV, UV, TTF. sustainability HV However, privacy concerns, risks, awareness do not affect consumer trust. There is complete mediation between sustainability, as well sustainability.

Язык: Английский

“From expectations to frustrations”: Dissecting negative experiences to understand negative word-of-mouth in online grocery services DOI
Sk Abu Khalek, Debasmita Dey, Anirban Chakraborty

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2025, Номер 84, С. 104221 - 104221

Опубликована: Янв. 5, 2025

Язык: Английский

Процитировано

2

Autonomous Technology in the Marketplace: the impact of enjoyment on consumer responses DOI Creative Commons
Simoni F. Rohden, Carla Freitas Silveira Netto, Lélis Balestrin Espartel

и другие.

Computers in Human Behavior, Год журнала: 2025, Номер unknown, С. 108647 - 108647

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Lighting the fire of curiosity: How agents of transformation can ignite and sustain transformative consumer journeys DOI
Yuliya Komarova, Joan Ball, Verena Hüttl‐Maack

и другие.

AMS Review, Год журнала: 2025, Номер unknown

Опубликована: Янв. 14, 2025

Язык: Английский

Процитировано

0

The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce DOI Creative Commons
Jiwang Yin, Xiaodong Qiu, Ya Wang

и другие.

Journal of theoretical and applied electronic commerce research, Год журнала: 2025, Номер 20(1), С. 21 - 21

Опубликована: Фев. 5, 2025

AI-personalized recommendation technology offers more accurate and diverse choices to consumers increases click-through rates sales on e-commerce platforms. Yet, data consumers’ experiences of recommendations their impact path clicking intention are scarce. This article addressed these issues through three studies. In study 1, we adopted the Grounded Theory approach conduct in-depth interviews with 30 Chinese constructed a scale measure consumer experience click intention. 2, empirical research method reliability validity tests 347 valid questionnaires finalize officially. 3, based SOR theory, model formulated hypotheses then conducted analysis using 1097 questionnaires. We found that relevance, inspiration, insightful can significantly promote Moreover, immersive mediates between former factors intention, acceptance When perceive high degree information privacy infringement, experience’s positive will be weakened. Meanwhile, promoting effect also inhibited. quality improves, enhanced. fills gap in literature clarifies how affect It valuable insights for platforms continuously optimize personalized algorithms boost conversion rate online shopping.

Язык: Английский

Процитировано

0

Understanding the impact of informative contact in Pay-What-You-Want pricing: a sequential mediation analysis DOI Creative Commons
Oktay Güzel, Emili Vizuete–Luciano

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

Опубликована: Фев. 11, 2025

Язык: Английский

Процитировано

0

Grocery shopping in metaverse: understanding drivers and barriers DOI
Mehrgan Malekpour, Oswin Maurer, Vincenzo Basile

и другие.

EuroMed Journal of Business, Год журнала: 2025, Номер unknown

Опубликована: Фев. 22, 2025

Purpose This study aims to enhance our understanding of customer expectations and experiences in grocery shopping within the metaverse. It investigates factors influencing satisfaction driving continued engagement with metaverse platforms, offering insights into drivers adoption barriers usage. Design/methodology/approach Adopting a qualitative netnographic approach, this analysed reactions Walmart’s virtual store demonstration. Data were collected from user comments on YouTube, TikTok, Twitter Reddit. Thematic analysis was employed identify key contributing dissatisfaction experiences. Findings The reveals three major shaping subsequent positive intentions toward metaverse: social, functional hedonic stimuli. Eight critical affecting experience are identified: functional, hedonic, financial, privacy, safety, ownership atmospherics concerns, including tactile, acoustic visual elements. Research limitations/implications findings derived social media which may limit generalisability. Future studies could adopt mixed-methods approach validate these across broader datasets. Originality/value work is first research examine offers valuable expectations, barriers, laying groundwork for further exploration applications retail.

Язык: Английский

Процитировано

0

Consumer responses to 3D experiences: the role of enjoyment, surprise, and augmentation quality DOI
Simoni F. Rohden,

Dmitry Subbotin,

Lélis Balestrin Espartel

и другие.

Journal of Marketing Analytics, Год журнала: 2025, Номер unknown

Опубликована: Март 14, 2025

Язык: Английский

Процитировано

0

Theoretical perspectives and conceptual framework for online grocery shopping: Adapting to environmental circumstances and influencing internal factors DOI Creative Commons
Philipp Brüggemann, Luis F. Martinez, Koen Pauwels

и другие.

Electronic Commerce Research, Год журнала: 2025, Номер unknown

Опубликована: Апрель 3, 2025

Язык: Английский

Процитировано

0

Introduction: online grocery shopping – current and future challenges and opportunities DOI Creative Commons
Philipp Brüggemann, Luis F. Martinez, Koen Pauwels

и другие.

Electronic Commerce Research, Год журнала: 2024, Номер 24(2), С. 711 - 713

Опубликована: Июнь 1, 2024

As Guest Editors for the special issue of Electronic Commerce Research on "Online Grocery Shopping -Current and Future Challenges Opportunities", we are delighted to announce its release.Online grocery shopping (OGS) has surged in popularity significance recent years, with COVID-19 pandemic accelerating this trend.Although OGS offers numerous benefits, such as convenience flexibility, many questions remain about impact retail industry consumer behavior.The rise necessitates new insights retailers manufacturers, they may need adapt their marketing strategies analytics sales channel.To reduce current uncertainty field OGS, is dedicated presenting research broad topic.This features high-quality papers covering a wide spectrum electronic commerce research.Kumar et al. [1] provide comprehensive literature review offering readers holistic overview developments within scientific literature.Other publications focus technology context OGS.For instance, Bruni [2] examine how metaverse impacts competition both offline online retail.Upadhyay [3] analyze influence customer experience mobile food ordering applications reuse intention.Additionally, Rohden Espartel [4] investigate reactions recommendation agents related OGS.

Язык: Английский

Процитировано

1

Omnichannel word-of-mouth genesis: the confluence of online-offline experiences, social influence and skepticism DOI
Eunye Jeong, Hyeon Jo

Asia Pacific Journal of Marketing and Logistics, Год журнала: 2024, Номер unknown

Опубликована: Июль 15, 2024

Purpose This research aims to examine the integral elements of omnichannel retailing, an evolving approach that blends online and offline shopping experiences. It focuses on how various factors – merchandise variety, monetary saving, personal interaction, complaint handling, social influence, perceived crowd skepticism affect relative advantage, consumer satisfaction word-of-mouth (WOM) advocacy in context. Design/methodology/approach A comprehensive survey was conducted with 258 participants, data were analyzed using partial least squares structural equation modeling (PLS-SEM). methodology provided insights into complex relationships between different retailing their impact customer WOM. Findings The study found saving influences both advantage satisfaction. Personal interaction observed handling advantage. Importantly, Additionally, highlighted roles influence enhancing Originality/value adds existing literature by providing a nuanced understanding dynamics engagement retailing. bridges gap concurrently examining retail WOM setting.

Язык: Английский

Процитировано

1