Psychological Determinants of Consumer’s Usage, Satisfaction, and Word-of-Mouth Recommendations Toward Smart Voice Assistants

Mishra, Anubhav; Shukla, Anuja

doi:10.1007/978-3-030-64849-7_24

Cited by 10 publications

(5 citation statements)

References 35 publications

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“…Hence, the marketer may prioritize the display of reviews in terms of valence on the website. Marketers can incorporate multisensory technologies as they lead to higher visual appeal (Mishra & Shukla, 2020).…”

Section: Discussionmentioning

confidence: 99%

Role of Review Length, Review Valence and Review Credibility on Consumer’s Online Hotel Booking Intention

Shukla

Mishra

2022

FIIB Business Review

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Information and communication technologies have empowered the consumers with ease of access to information about products and services in form of electronic word of mouth (eWOM). eWOM plays a critical role in consumer purchase decisions in the form of online reviews. The study uses the S-O-R framework to examine the impact of online reviews on online hotel booking. The data were collected using purposive sampling through an online self-administered questionnaire and analyzed using the PLS-SEM technique. The results of the study show that review valence significantly impacts review credibility whereas review length does not. Furthermore, credible reviews lead to high purchase intention. The positive impact of purchase intention on purchase in online hotel booking context is a novel finding. We suggest managers to include more positive valanced reviews to develop trust and credibility while take proper measures to reduce risk.

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Section: Discussionmentioning

confidence: 99%

Role of Review Length, Review Valence and Review Credibility on Consumer’s Online Hotel Booking Intention

Shukla

Mishra

2022

FIIB Business Review

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“…The visual information embedded in the consumer reviews improves the credibility of review; however, its impact is relatively low. Marketers can incorporate the multisensory technologies as they lead to higher visual appeal (Mishra & Shukla, 2020).…”

Section: Discussionmentioning

confidence: 99%

Effects of Visual Information and Argument Concreteness on Purchase Intention of Consumers Towards Online Hotel Booking

Shukla¹,

Mishra

2021

Vision: The Journal of Business Perspective

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Online consumer reviews impact the traveller’s decision to book hotel online. The study examines the role of visual information and argument concreteness on the credibility of reviews and consequently on purchase intention. The study examines the effect of trust and perceived risk as mediators on the relationship of review credibility and purchase intention. An online survey was conducted on 310 travellers above 18 years. The data was analysed using PLS-SEM. Travellers believed visual information and argument concreteness of review enhances the review credibility. Traveller’s purchase intentions were influenced by the credibility of reviews. This relationship was partially mediated by trust but not by perceived risk. The research suggests that the elaborate travel reviews with visual elements that describe the location and surroundings of the hotel are considered to be more credible and develop a positive intention towards booking the hotel.

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“…23. (Mishra & Shukla, 2020;Rzepka et al, 2020) 04 Learning Management System (Al-Skaf et al, 2021;Salloum et al, 2021) 04…”

Section: Methodsunclassified

“…As Mishra & Shukla (Mishra & Shukla, 2020) argued, Reasoning involves approaches that help to generate conclusions from the available information by using logical Reasoning, primarily induction and deduction. Reasoning in Artificial Intelligence plays an important role in employing knowledge-based systems (Che et al, 2021).…”

Section: Artificial Intelligence In Pakistanmentioning

confidence: 99%

Artificial Intelligence in Learning Management System: A Case Study of the Students of Mass Communication

Ali

Yousaf

Behlol

2023

Voyage Journal of Educational Sciences

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Artificial Intelligence (AI) in learning and education is not new. However, the rise of the Covid-19 pandemic led to a focus on its role in Learning Management Systems (LMS). This study also examined the role of AI in the LMS with features including Natural Language Processing and Reasoning. The researchers used a self-proposed model and gathered data from the mass communication students in two public sector universities in Pakistan. Results revealed that Artificial Intelligence is integral to Learning Management Systems (LMS) in the selected institutions. Further, the effect of Natural Language Processing (NLP) on Reasoning indicated these two factors as interlinked, improving the quality of LMS. Additionally, Natural Language Processing significantly mediated the effect of AI on the LMS, showing that language processing facilitates LMS usage among students. Finally, the results also indicated the significant mediation effect of Reasoning on the relationship s between AI and the LMS. Overall, the results also remained supported towards the incorporation of Artificial Intelligence (AI) along with Natural Language Processing (NLP) and Reasoning in Learning Management Systems (LMS). The researchers conclude that AI in Learning Management Systems is widely applied in Pakistani institutions. The young students also acknowledge the benefits of AI-enabled LMS that have enhanced their learning experiences and provided them with logical solutions and answers to their complex queries. Further, the study limitations are discussed and highlighted accordingly.

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Psychological Determinants of Consumer’s Usage, Satisfaction, and Word-of-Mouth Recommendations Toward Smart Voice Assistants

Cited by 10 publications

References 35 publications

Role of Review Length, Review Valence and Review Credibility on Consumer’s Online Hotel Booking Intention

Role of Review Length, Review Valence and Review Credibility on Consumer’s Online Hotel Booking Intention

Effects of Visual Information and Argument Concreteness on Purchase Intention of Consumers Towards Online Hotel Booking

Artificial Intelligence in Learning Management System: A Case Study of the Students of Mass Communication

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