The proof is in the pudding: public beliefs, emotions and sentiments on drone deliveries in extreme contexts DOI
Ali B. Mahmoud, Kamran Mahroof

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

Опубликована: Апрель 9, 2025

Purpose The rapid advancement of drone technology has opened up a new frontier in package delivery, presenting promising solution for logistics and transportation challenges. However, there remains significant gap identifying the public’s belief structure regarding adoption this extreme contexts, such as natural disasters or remote areas. This study aims to fill research by investigating public beliefs, emotions sentiments towards deliveries these high-risk scenarios, where traditional delivery methods are often impractical unavailable. Design/methodology/approach Using big data approach, authors applied machine learning scrape comments made social media users on recent popular posts videos related from Reddit YouTube. cleaning process narrowed down 6,403 2,337, which were then analysed using thematic, emotion sentiment analysis techniques. Findings thematic revealed five key themes structure: safety security concerns, scepticism distrust, ethical support innovation efficiency concerns about practicality feasibility. Sentiment showed predominantly negative outlook (53%), with confusion (19.32%) disappointment (14.26%) being most prevalent emotions. positive (45%) curiosity (9.08%) approval (4.51%) indicate cautious optimism interest potential benefits deliveries. Research limitations/implications Future should expand sources include Twitter, Facebook Instagram broader insights. Differentiating between e.g. disasters, pandemics conflict zones, can reveal varying perceptions. Investigating how influence actual behaviours through longitudinal designs field experiments is essential. Developing theoretical models that integrate unique factors like implications existing frameworks will enhance understanding. In addition, large-scale quantitative surveys needed generalise findings across different populations contexts. Practical have practical policymakers, developers marketers. Addressing safety, while highlighting help build trust acceptance. Transparent communication robust regulatory essential successful systems. Originality/value To best authors’ knowledge, one first systematically analyse discussions It extends Unified Theory Acceptance Use Technology 2 Diffusion Innovations theories, providing fresh insights into influencing acceptance technologies. results offer valuable guidance developing effective policies strategies systems, contributing reinvention marketing disruptive economy.

Язык: Английский

Exploring new realms or losing touch? Assessing public beliefs about tourism in the metaverse–a big-data approach DOI
Ali B. Mahmoud, Leonora Fuxman,

Yousra Asaad

и другие.

International Journal of Contemporary Hospitality Management, Год журнала: 2024, Номер unknown

Опубликована: Июль 13, 2024

Purpose The Metaverse is rapidly reshaping the understanding of tourism, yet public perception this new domain remains largely uncharted empirically. This paper aims to build on technology acceptance model (TAM) and diffusion innovations theory (DIT) fill gap, offering crucial insights that could inform scholars practitioners in both tourism sectors. Design/methodology/approach Using a big-data approach, authors applied machine learning scrape comments made by social media users recent popular posts or videos related from three prominent platforms. cleaning process narrowed down 15,461 2,650, which were then analysed using thematic, emotion sentiment analysis techniques. Findings thematic revealed virtual evokes complex range beliefs. While many express awe excitement toward its immersive capabilities, others remain sceptical about authenticity compared physical travel. Additional themes show people draw comparisons real-world discuss technology’s role note educational value novelty. However, some raise concerns potential societal harms, exploitation mental health impacts. Sentiment found over half positive, though negative. Emotion showed contentment, happiness as most frequent, sadness, worry loneliness also featured. Overall, perceptions encompass enthusiasm substantial ambivalence. Originality/value To best authors’ knowledge, study one first comprehensively analyse discussions tourism. It takes TAM Rogers’s DIT step further provides fresh into how these theories can be employed emerging field conceptual multidimensional factors shaping beliefs thus informing scholarly research interaction regarding In addition, results help providers, platforms marketers address salient sentiments/attitudes developing marketing offerings, experiences communications. Over time, methodology used track evolving

Язык: Английский

Процитировано

6

Digital Marketing Analytics in Sports DOI
Ali B. Mahmoud

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

6

Analysing the public's beliefs, emotions and sentiments towards Metaverse workplace: A big-data qualitative inquiry DOI Creative Commons
Ali B. Mahmoud

Acta Psychologica, Год журнала: 2024, Номер 250, С. 104498 - 104498

Опубликована: Сен. 19, 2024

Язык: Английский

Процитировано

4

A cross-country analysis of self-determination and continuance use intention of AI tools in business education: Does instructor support matter? DOI Creative Commons
Egena Ode, Rabake Nana,

Irene O. Boro

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100402 - 100402

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

The proof is in the pudding: public beliefs, emotions and sentiments on drone deliveries in extreme contexts DOI
Ali B. Mahmoud, Kamran Mahroof

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

Опубликована: Апрель 9, 2025

Purpose The rapid advancement of drone technology has opened up a new frontier in package delivery, presenting promising solution for logistics and transportation challenges. However, there remains significant gap identifying the public’s belief structure regarding adoption this extreme contexts, such as natural disasters or remote areas. This study aims to fill research by investigating public beliefs, emotions sentiments towards deliveries these high-risk scenarios, where traditional delivery methods are often impractical unavailable. Design/methodology/approach Using big data approach, authors applied machine learning scrape comments made social media users on recent popular posts videos related from Reddit YouTube. cleaning process narrowed down 6,403 2,337, which were then analysed using thematic, emotion sentiment analysis techniques. Findings thematic revealed five key themes structure: safety security concerns, scepticism distrust, ethical support innovation efficiency concerns about practicality feasibility. Sentiment showed predominantly negative outlook (53%), with confusion (19.32%) disappointment (14.26%) being most prevalent emotions. positive (45%) curiosity (9.08%) approval (4.51%) indicate cautious optimism interest potential benefits deliveries. Research limitations/implications Future should expand sources include Twitter, Facebook Instagram broader insights. Differentiating between e.g. disasters, pandemics conflict zones, can reveal varying perceptions. Investigating how influence actual behaviours through longitudinal designs field experiments is essential. Developing theoretical models that integrate unique factors like implications existing frameworks will enhance understanding. In addition, large-scale quantitative surveys needed generalise findings across different populations contexts. Practical have practical policymakers, developers marketers. Addressing safety, while highlighting help build trust acceptance. Transparent communication robust regulatory essential successful systems. Originality/value To best authors’ knowledge, one first systematically analyse discussions It extends Unified Theory Acceptance Use Technology 2 Diffusion Innovations theories, providing fresh insights into influencing acceptance technologies. results offer valuable guidance developing effective policies strategies systems, contributing reinvention marketing disruptive economy.

Язык: Английский

Процитировано

0