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Artificial intelligence–enabled voice assistants (VAs), such as Amazon's Alexa, Google Assistant, and Apple's Siri, are available in smartphones, smart speakers, and other digital devices and channels. Use of these VAs is growing rapidly and are expected to significantly impact purchase intentions. This article focuses on how the communications enabled and provided by these VAs influence VA evaluations and usage intentions, contingent on the stage of the customer journey.

This paper builds from work on VAs, work on artificial intelligence (AI) and work on communications, to offer a comprehensive and up-to-date understanding of how VA evaluations and usage intentions may be impacted by the communications from VAs, contingent on the stage of the customer journey.

This paper proposes a model for VA enabled communications impact VA evaluations. It builds from work on VAs, AI, communications, and customer journey management. In the proposed model, VA evaluations are not only impacted by source, message and recipient characteristics (per prior communication models), but also by (1) VA/AI specific features, like perceptions of humanness and perceptions of artificiality, and (2) stage of the customer journey.

This paper provides guidance to firms, as regards how VA communications may influence VA evaluations and usage intentions. As an initial conjecture, (1) increasing perceptions of humanness, (2) decreasing perceptions of artificiality (3) a better fit between communications style (e.g. abstract vs concrete), and request type (e.g. transactional vs informational) (4) a better fit between VA communications (e.g. information vs banter), and consumer perceptions of the VA (servant vs partner) and (5) a better fit between VA communications and the stage of the customer journey may positively influence VA evaluations and VA usage intentions.

This paper provides a fresh look at the impact of VA communications, clarifying how such communications impact VA evaluations and usage intentions at various stages of the customer journey.

The current work reviews all retailing articles published in four prominent retailing journals – Journal of Retailing, Journal of Retailing and Consumer Services, International Journal of Retail & Distribution Management, and International Review of Retail, Distribution and Consumer Research – in the 2009-2015 period, picking up where Runyan and Hyun (2009) left off. The purpose of this paper is to identify leading authors and institutions in retailing research based on overall impact.

Content analysis/literature review/descriptive research.

In total, 1,392 articles were published during this time period, and through a procedure of weights and adjustments for author count, journal impact, journal quality, and journal publishing opportunity, the findings reveal that research collaboration is highly prevalent, as evidenced by the high number of multi-authored papers and cross-university/international partnerships. Additionally, some authors and institutions remain influential, while others have emerged as highly influential in the last seven years. This shows the dynamic nature of the field and the need to remain active in quality publishing.

Scholars must understand that several factors influence impact judgments, which cannot be assessed using raw counts alone. Journal quality, impact, and publishing opportunity as well as author counts are important elements to consider.

These reviews are vital to the field in that they provide status updates on scholarship, so these reviews should be done periodically. Additionally, the findings in this paper provide a more holistic understanding of research impact and permit better assessment for scholars and administrators.

This editorial aims to discuss how the modern world is causing pricing practices of both retailers and consumers to evolve. The contributions of seven papers included in this special issue have been highlighted.

The purpose is to explore how different cues impact consumer reactions to prices.

These cues include both cues regarding the price itself (e.g. the level of the discount, how the price is broken into component parts, the starting price in an auction), as well as non-price-related cues (e.g. private labels, brand familiarly, consumer ratings, creativity of an ad). In addition, this special issue includes a review article which provides a comprehensive review of behavioral pricing research.

The contributions of seven papers included in this special issue have been highlighted.

To study the strategies of eBay as it moves on from its now “traditional” online market for the masses to extend its expertise into areas such as business to business. The paper also considers online trading in general.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Amanda Aldridge notes that, as well as being an online auction, eBay is increasingly acting as a shop‐front for new goods sold by professional retailers at fixed prices. She recommends that retailers start selling small batches of goods on eBay and to consider how to integrate this with their existing multi‐channel strategies. Glenn Baker warns that, with the fragmentation of traditional marketing media and the rise of the Internet, any company without an e‐marketing strategy may fall by the wayside. Dhruv Grewal et al. suggest that although online retailing started out as a separate retail format, it has now become part of a multi‐channel strategy. They list, and explain, various limiters and enablers to Internet retailing growth. Ralph A. Oliva says that some of the benefits and innovations being brought to individual customers by eBay are now available to small businesses, and that eBay is creating a new marketplace for the sort of things small businesses need. Growth to service bigger industries is a distinct possibility.

Offers advice to businesses which have not yet taken the “online plunge” that they might be wise to test the water, accepting it as just another channel for their goods.

This research examines the effects of bundling format (partially‐bundled attributes vs. unbundled attributes) and framing of promotional discounts (rebate, discount and free‐options) on perceived quality, price acceptability, perceived value and subsequent purchase intentions. The results indicate that price reductions that are framed as providing “free” product options are perceived more favorably than conventional discounts which, in turn, are more favorable than rebates, holding the total amount of a price reduction constant. The results also suggest that unbundling of deals (or segregation of gains) enhances these perceptions.

In this brief paper, the aim is to highlight three important pricing areas: the business strategies and pricing models that have evolved over the past 20 years of research, the customers that have been targeted, and the role of the internet on pricing. The advent of social media, mobile marketing and display technologies are likely to encourage researchers to pursue additional research on these topics.

The current paper is an essay aimed at stimulating pricing research in three major domains.

The authors review illustrative current practices and research findings pertaining to emerging pricing business models, customer target marketing and price dispersion on the web.

The paper highlights areas that need empirical investigation.

Managers need to explicitly understand the role of these emerging technologies (e.g. social media, mobile media, and web‐application) and appropriately incorporate them into their pricing strategies.

The paper's central contribution is to stimulate additional research on key pricing areas.

This paper aims to investigate the presence of varying price points on the impact of product valuations in both English and reverse auctions on potential bidders, that is, those not yet engaged in the auction. Internet auctions, both English style and reverse, constitute one of the success stories of digital commerce.

As its method of research, this paper uses an experimental approach to explore the effects of multiple reference prices.

While previous research has done well to show that a lower initial price decreases barriers to entry and can lead to a higher final price in English-style auctions, this research shows that such a strategy may harm potential bidders’ product perceptions due to multiple reference prices. The authors explore situations of multiple reference prices in the context of reverse auctions, where both higher and lower reference prices are shown to be able to increase product valuations.

Additional research of a variety of products and using a representative sample would enhance the findings of this paper.

The findings show that reference prices have differing impacts, which are dependent upon the goal of either maximizing or minimizing the distance between the initial price and the price consumers are willing to pay in an online auction.

The investigation links differing goals created by the type of auction to the potential impact of the reference price. In addition, we explore the effects of multiple reference prices on consumer valuations.

Reference price is a key input in deciding product/service prices by organizations and has a significant influence on consumer purchase decisions. This study aims to provide a deeper understanding of reference pricing literature using bibliometric analysis and offers specific research questions for future research in this domain.

Using a sample of 309 articles published between 1977 and 2021, the study conducts bibliographic coupling, citation analysis, cluster analysis, content analysis, keyword analysis and a three-field plot to map the intellectual structure of reference price.

The content analysis gave seven research clusters: (1) modeling reference price, (2) consumer perceptions of price (un)fairness, (3) price framing, (4) comparative price-based promotion, (5) reference price formulation, (6) pay-what-you-want (PWYW) pricing and (7) range theory and price perceptions. The study also delineates reference price literature across several parameters like authorship, highest cited paper, most popular journal, institutions, region-wise publication trend and author-networks. The emerging research themes for future scholars working in this domain have also been highlighted.

This is the first comprehensive study to explore reference price from a bibliometric lens. The study highlights and discusses the recent themes on reference price, from both academic and managerial perspectives.

This paper aims to examine how two non-price cues – consumer rating and number of purchased social coupons (SCs) – serve as risk-relievers for high and low variety-seekers and subsequently impact their purchase decision for SCs offered by unfamiliar brands.

Participants recruited from Amazon Mechanical Turk online panels participated in three scenario-based experiments.

Low (vs high) variety-seekers perceive greater risk and indicate lower likelihood of purchasing SCs offered by unfamiliar brands. Both high and low variety-seekers utilize the two non-priced cues – consumer rating and number of purchased SCs – as risk-relievers sequentially. That is, consumer rating constantly has a substantial impact on purchase likelihood for such SCs, whereas number of purchased SCs is influential only when consumer rating becomes ambiguous. Specifically, low (vs high) variety-seekers have a greater tendency to rely on number of purchased SCs in addition to consumer rating as a risk-reliever.

This paper examines cue utilization process in the SC context and suggests that high and low variety-seekers respond to the two non-price cues differently and sequentially. This provides theoretical insights on consumers’ cue utilization process and managerial insights regarding how managers could strategically handle the cues on SC provider websites. Further, this paper identifies situations where high variety-seekers may not prefer unfamiliar experiences and low variety-seekers may become more likely to embrace unfamiliar experiences.