Search results

1 – 2 of 2
Article
Publication date: 17 April 2023

Jungmin Yoo, Jung-Hwan Kim, Minjeong Kim and Minjung Park

The purpose of this study is to investigate the effects of visual and verbal information presentations on mental imagery, perceived informativeness and purchase intention. The…

Abstract

Purpose

The purpose of this study is to investigate the effects of visual and verbal information presentations on mental imagery, perceived informativeness and purchase intention. The study assesses two types of product-related information: (1) visual information: static product images and augmented reality (AR) and (2) verbal information: abstract and concrete product reviews.

Design/methodology/approach

A total of 320 mobile consumers participated in the experiment. To increase external validity, this study was conducted in an existing digital shopping environment.

Findings

The results suggest that AR has a greater effect on consumers' shopping outcomes than static images. The findings further reveal that concrete product reviews are important in increasing mental imagery, perceived informativeness and purchase intention when visual information does not provide an AR function.

Originality/value

This study contributes to the current literature by providing empirical support for AR effects and concrete reviews on consumer responses. The results further provide an important perspective for retailers seeking ways to develop effective information presentations in digital retailing.

Details

Journal of Research in Interactive Marketing, vol. 18 no. 2
Type: Research Article
ISSN: 2040-7122

Keywords

Article
Publication date: 3 October 2022

Libiao Bai, Shuyun Kang, Kaimin Zhang, Bingbing Zhang and Tong Pan

External stakeholder risks (ESRs) caused by unfavorable behaviors hinder the success of project portfolios (PPs). However, due to complex project dependency and numerous risk…

296

Abstract

Purpose

External stakeholder risks (ESRs) caused by unfavorable behaviors hinder the success of project portfolios (PPs). However, due to complex project dependency and numerous risk causality in PPs, assessing ESRs is difficult. This research aims to solve this problem by developing an ESR-PP two-layer fuzzy Bayesian network (FBN) model.

Design/methodology/approach

A two-layer FBN model for evaluating ESRs with risk causality and project dependency is proposed. The directed acyclic graph (DAG) of an ESR-PP network is first constructed, and the conditional probability tables (CPTs) of the two-layer network are further presented. Next, based on the fuzzy Bayesian network, key variables and the impact of ESRs are assessed and analyzed by using GeNIe2.3. Finally, a numerical example is used to demonstrate and verify the application of the proposed model.

Findings

The proposed model is a useable and effective approach for ESR assessment while considering risk causality and project dependency in PPs. The impact of ESRs on PP can be calculated to determine whether to control risk, and the most critical and heavily contributing risks and project(s) in the developed model are identified based on this.

Originality/value

This study extends prior research on PP risk in terms of stakeholders. ESRs that have received limited attention in the past are explored from an interaction perspective in the PP domain. A new two-layer FBN model considering risk causality and project dependency is proposed, which can synthesize different dependencies between projects.

Details

Engineering, Construction and Architectural Management, vol. 31 no. 2
Type: Research Article
ISSN: 0969-9988

Keywords

Access

Year

Last 3 months (2)

Content type

1 – 2 of 2