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Article
Publication date: 12 April 2022

Robert Zimmermann, Daniel Mora, Douglas Cirqueira, Markus Helfert, Marija Bezbradica, Dirk Werth, Wolfgang Jonas Weitzl, René Riedl and Andreas Auinger

The transition to omnichannel retail is the recognized future of retail, which uses digital technologies (e.g. augmented reality shopping assistants) to enhance the customer…

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Abstract

Purpose

The transition to omnichannel retail is the recognized future of retail, which uses digital technologies (e.g. augmented reality shopping assistants) to enhance the customer shopping experience. However, retailers struggle with the implementation of such technologies in brick-and-mortar stores. Against this background, the present study investigates the impact of a smartphone-based augmented reality shopping assistant application, which uses personalized recommendations and explainable artificial intelligence features on customer shopping experiences.

Design/methodology/approach

The authors follow a design science research approach to develop a shopping assistant application artifact, evaluated by means of an online experiment (n = 252), providing both qualitative and quantitative data.

Findings

Results indicate a positive impact of the augmented reality shopping assistant application on customers' perception of brick-and-mortar shopping experiences. Based on the empirical insights this study also identifies possible improvements of the artifact.

Research limitations/implications

This study's assessment is limited to an online evaluation approach. Therefore, future studies should test actual usage of the technology in brick-and-mortar stores. Contrary to the suggestions of established theories (i.e. technology acceptance model, uses and gratification theory), this study shows that an increase of shopping experience does not always convert into an increase in the intention to purchase or to visit a brick-and-mortar store. Additionally, this study provides novel design principles and ideas for crafting augmented reality shopping assistant applications that can be used by future researchers to create advanced versions of such applications.

Practical implications

This paper demonstrates that a shopping assistant artifact provides a good opportunity to enhance users' shopping experience on their path-to-purchase, as it can support customers by providing rich information (e.g. explainable recommendations) for decision-making along the customer shopping journey.

Originality/value

This paper shows that smartphone-based augmented reality shopping assistant applications have the potential to increase the competitive power of brick-and-mortar retailers.

Details

Journal of Research in Interactive Marketing, vol. 17 no. 2
Type: Research Article
ISSN: 2040-7122

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Publication date: 22 May 2017

Brenda Jones Harden, Brandee Feola, Colleen Morrison, Shelby Brown, Laura Jimenez Parra and Andrea Buhler Wassman

Children experience toxic stress if there is pronounced activation of their stress-response systems, in situations in which they do not have stable caregiving. Due to their…

Abstract

Children experience toxic stress if there is pronounced activation of their stress-response systems, in situations in which they do not have stable caregiving. Due to their exposure to multiple poverty-related risks, African American children may be more susceptible to exposure to toxic stress. Toxic stress affects young children’s brain and neurophysiologic functioning, which leads to a wide range of deleterious health, developmental, and mental health outcomes. Given the benefits of early care and education (ECE) for African American young children, ECE may represent a compensating experience for this group of children, and promote their positive development.

Details

African American Children in Early Childhood Education
Type: Book
ISBN: 978-1-78714-258-9

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Article
Publication date: 5 January 2010

Herbert De Gersem, Olaf Henze, Thomas Weiland and Andreas Binder

The purpose of this paper is to offer a simulation method for predicting the impedance of machine windings at higher frequencies.

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Abstract

Purpose

The purpose of this paper is to offer a simulation method for predicting the impedance of machine windings at higher frequencies.

Design/methodology/approach

A transmission‐line model (TLM) is developed based on parameters calculated on the basis of electroquasistatic and magnetoquasistatic finite‐element (FE) model of the winding cross‐section.

Findings

The FE formulations for the low‐ and high‐frequency limits give acceptable results for the respective frequency ranges. An eddy‐current formulation is only accurate on a broader region when the FE mesh is sufficiently fine to resolve the skin depth.

Research limitations/implications

The paper is restricted to frequency‐domain simulations.

Practical implications

The results of the paper improve the understanding of higher‐frequency parasitic effects in electrical drives with long windings.

Originality/value

The paper shows the limitations of the FE methods used for determining the parameters of the TLMs and remedies to avoid these.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 29 no. 1
Type: Research Article
ISSN: 0332-1649

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