Hey, Alexa! What attributes of Skills affect firm value?

Bahmani, Navid; Bhatnagar, Amit; Gauri, Dinesh K.

doi:10.1007/s11747-022-00851-0

Cited by 12 publications

(21 citation statements)

References 58 publications

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“…Investment in voice assistants is more beneficial as a means of attracting new buyers rather than for utility‐type products with a high repeat purchasing rate. However, issues of trust and privacy are associated with the use of voice assistants (Bahmani et al, 2022; Oliveira et al, 2023), and incongruency between listening and speaking can undermine the trust in, and use of, these devices (Hu et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

“…While we acknowledge the limitations of our work, we consider them to be opportunities for future research. Hernandez-Ortega & Ferreira, 2021;Lim, Cheah, et al, 2022;Wu, Aw, & Chuah, 2023) 10 Cue utilization theory 2 (Branca et al, 2023;Das et al, 2021) 11 Naïve theory 2 (Das et al, 2021;Kluge & Fassnacht, 2015) 12 Theory of reasoned action (TRA) 2 (Balasubramanian et al, 2005;Wagner et al, 2020) 13 Uses and Gratifications (U&G) theory 2 (Wagner et al, 2020;Zimand-Sheiner et al, 2022) 14 8C Framework 1 (Baker et al, 2018) 15 Assemblage theory 1 (Bahmani et al, 2022) 16 Behavioral decision theory 1 (Li et al, 2020) 17 Bias of omission theory 1 (Kees et al, 2008) 18 Business model framework 1 (Jeansson et al, 2017) 19 Categorical uncertainty theory 1 (Hu et al, 2023) 20 Channel theory 1 (Wu, Aw, & Chuah, 2023) 21 Commodity theory 1 (Kluge & Fassnacht, 2015) 22 Competitive advantage theory 1 (Jindal et al, 2007) 23 Consumer search theory 1 (Moriuchi, 2019) 24 Demand life-cycle theory 1 (Webb & Hogan, 2002) 25 Economics of information theory 1 (Wagner et al, 2020) 26 Effectuation theory 1 (Tolstoy et al, 2021) 27 ES-QUAL model 1 (Shaw et al, 2022) 28 Expectation-disconfirmation model theory 1 (Fergurson et al, 2021) 29 Expectancy-value theory 1 (Loupiac & Goudey, 2020)…”

Section: Limitations and Future Researchmentioning

confidence: 99%

“…# Focus of research Author and date 36 Conversion rates in SME websites (Di Fatta et al, 2018) 37 Automating adaptive selling online (Kaptein et al, 2018) 38 Relationship networks and disintermediation in aftermarket service (Wagner et al, 2018) 39 Consumer perception of luxury brand websites (Kim, 2019) 40 Luxury brand marketing and eWoM via social media (Liu et al, 2019) 41 Factors affecting use of Voice Assistants and engagement and loyalty to the brand (Moriuchi, 2019) 42 Consumers' cross-channel price perceptions (Gonzales et al, 2020) 43 SME internationalization (Jean & Kim, 2020) 44 Online luxury experience (OLX) (Klaus, 2020) 45 Risk-related factors of SMEs' DTC adoption and continuance (Li et al, 2020) 46 How online website experience creates beliefs about brands physical stores (Loupiac & Goudey, 2020) 47 Omnichannel data integration (Mirzabeiki & Saghiri, 2020) 48 Consumer behavior via online channel touchpoints across the customer journey (Wagner et al, 2020) 49 Product personalization and performance (Ben-Jebara & Modi, 2021) 50 Factors and features linked to the popularity of wine producers' websites (Bernal-Jurado et al, 2021) 51 Omnichannel logistic service quality, satisfaction, and customer loyalty (Cotarelo et al, 2021) 52 Social selling cues of reporting numbers viewed and bought online and the impact on purchase intentions (Das et al, 2021) 53 DTC selling attributes influencing customer perceptions and digital word-of-mouth (Fergurson et al, 2021) 54 How voice assistant experiences build service loyalty (Hernandez-Ortega & Ferreira, 2021) 55 Customer experience and shopping value (Lao et al, 2021) 56 SME digital power in the value chain (Oliveira et al, 2021) 57 The impact of subscription-based DTC channel additions on firm value (Pasirayi & Fennell, 2021) 58 SMEs' international expansion online (Tolstoy et al, 2021) 59 Consumers' perceptions of website and voice assistant human likeness and the impact of a parasocial relationship on decision making (Whang & Im, 2021) 60 Voice assistant function announcements (as an additional channel) and the impact on firm value (Bahmani et al, 2022) 61 Small entrepreneurial online brands growth in developing countrie...…”

Section: Conflict Of Interest Statementmentioning

confidence: 99%

See 2 more Smart Citations

The evolving direct‐to‐consumer retail model: A review and research agenda

McKee

Sands

Pallant

et al. 2023

Int J Consumer Studies

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The substantial growth of e‐commerce sales, driven by digital advancements, has enticed brands to sell direct‐to‐consumers (DTC) online. Despite the growth of the DTC online retail model in practice, academic literature remains fragmented. This systematic review is timely as it meets the need for a comprehensive understanding of the evolution of DTC over two decades of research to 2023. A SPAR‐4‐SLR protocol combined with a Theory–Context–Methods (TCM) approach examines the extant literature through a marketing lens. An analysis of 81 articles reveals a need for consumer behavior theories to underpin research on the DTC retail model. We conclude the review by identifying areas for further development, such as the need for research on the technology‐driven balance of power between brands, retailers, and consumers. Contextually, the authors highlight research opportunities on SME brands' internationalization and the DTC online luxury experience. Methodological directions include empirical qualitative studies and experiments on the emerging topics of technology‐enabled retail services and the experiential e‐commerce impact on customer experience. These future research undertakings will help us to better understand the DTC retail model.

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Section: Discussionmentioning

confidence: 99%

Section: Limitations and Future Researchmentioning

confidence: 99%

Section: Conflict Of Interest Statementmentioning

confidence: 99%

See 1 more Smart Citation

The evolving direct‐to‐consumer retail model: A review and research agenda

McKee

Sands

Pallant

et al. 2023

Int J Consumer Studies

View full text Add to dashboard Cite

show abstract

“…At the same time, they find that firms with an AI focus reduced advertising expenditure. Bahmani et al (2022) focus on organizations' investments on voice assistant devices, such as Amazon's Alexa. They highlight how announcements of various capabilities in their devices can influence firm value.…”

Section: Enhancing Value Creation Using Artificial Intelligencementioning

confidence: 99%

The future of digital technologies in marketing: A conceptual framework and an overview

Plangger

Grewal

Ruyter

et al. 2022

J. of the Acad. Mark. Sci.

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Digital technologies are key to achieving competitive advantage across marketing and retailing contexts. At the same time, marketing managers are confronted with a variety of challenges surrounding the strategic use of these technologies and the need to re-think their digital strategies. Importantly, managers need to develop a deeper understanding of consumer attitudes towards and engagement with (or lack thereof) digital technologies. Marketing strategists can benefit from academic marketing's thought leadership to learn how they can transform these challenges into strategic opportunities for competitive advantage. This can lead to technological innovations that create customer, firm, and societal value. Some of these benefits are described in the articles that make up this special issue. We propose a framework that focuses on the role of strategic resources used by managers to develop and deliver on the promise of digital technologies. Then, we report insights from 16 boardroom interviews with senior marketing managers resulting in three broad themes: decentralized marketing, metamodern customer experiences, and marketing mechanization. We close with a research agenda to motivate additional thought-leading research in this fast-growing area.

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“…Given the massiveness of the voice-assisted product market, firms are eager to identify the challenges and opportunities for consumers to accept such innovative products (Bahmani et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Why can’t you be all talk to get things done? Consumer acceptance of voice-assisted products

Xiao,

Tan

2023

JPBM

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Purpose Voice assistant technology represents one of the most radical artificial intelligence innovations. Drawing on the processing fluency theory and consumer learning literature, this study aims to explore how consumer acceptance of new products is influenced by voice assistant function (VAF), along with the impacts of role clarity and learning modality. Design/methodology/approach Four between-subjects experimental studies were conducted. Study 1 tested the main effect of VAF on consumer acceptance. Study 2 included role clarity as a mediator between VAF and consumer acceptance. Study 3 examined the moderation effect of learning modality and contrasted the effectiveness of experiential and verbal learning in helping increase consumer acceptance. Study 4, as a post hoc study, tested serial mediations to validate whether processing fluency was indeed the mechanism explaining the indirect relationship between VAF and consumer acceptance via role clarity. Findings The negative impact of VAF on consumer acceptance was demonstrated in all four studies. Studies 2 and 3 showed VAF decreased role clarity which further influenced consumer acceptance. Moreover, Study 3 evidenced that experiential learning was more effective than verbal learning in increasing consumer acceptance of voice-assisted products via role clarity. Study 4 demonstrated that VAF decreased role clarity, which in turn decreased processing fluency, leading to lower consumer acceptance. Originality/value This research views the usage of voice-assisted products as a coproduction process between consumers and the VAF. Accordingly, findings provide novel insights into processing fluency of tasks assisted by VAF through the lens of role clarity and learning modality, which enriches the understanding of potential barriers and opportunities for consumers to accept voice-assisted products.

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Hey, Alexa! What attributes of Skills affect firm value?

Cited by 12 publications

References 58 publications

The evolving direct‐to‐consumer retail model: A review and research agenda

The evolving direct‐to‐consumer retail model: A review and research agenda

The future of digital technologies in marketing: A conceptual framework and an overview

Why can’t you be all talk to get things done? Consumer acceptance of voice-assisted products

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