scholarly journals User experience evaluation method based on online product reviews

2021 ◽  
pp. 1-15
Author(s):  
Fangmin Cheng ◽  
Suihuai Yu ◽  
Shengfeng Qin ◽  
Jianjie Chu ◽  
Jian Chen

Evaluating the quality of the user experience (UX) of existing products is important for new product development. Conventional UX evaluation methods, such as questionnaire, have the disadvantages of the great subjective influence of investigators and limited number of participants. Meanwhile, online product reviews on e-commerce platforms express user evaluations of product UX. Because the reviews objectively reflect the user opinions and contain a large amount of data, they have potential as an information source for UX evaluation. In this context, this study explores how to evaluate product UX through using online product reviews. A pilot study is conducted to define the key elements of a review. Then, a systematic method of product UX evaluation based on reviews is proposed. The method includes three parts: extraction of key elements, integration of key elements, and quantitative evaluation based on rough number. The effectiveness of the proposed method is demonstrated by a case study using reviews of a wireless vacuum cleaner. Based on the proposed method, designers can objectively evaluate the UX quality of existing products and obtain detailed suggestions for product improvement.

Author(s):  
K G Swift ◽  
M Raines ◽  
J D Booker

In this paper, recent advances in the analysis of products for assessing the consequences of design decisions on quality of conformance are presented. The approach, called conformability analysis, uses estimates of likely process capability levels and likely failure severity to approximate the costs of failure in production and service, associated with non-conforming design characteristics. Improvements in estimating process capability are discussed and the correlation between the estimated values and shop-floor capability levels is reported. A case study is employed to illustrate how the analysis can be used in new product development and the benefits that may accrue from its applications.


2015 ◽  
Vol 25 (3) ◽  
pp. 435-452 ◽  
Author(s):  
Kyung Young Lee ◽  
Sung-Byung Yang

Purpose – The purpose of this paper is to investigate the impact of features involving online product reviews (OPRs) on information adoption by new product developers (NPDs). Design/methodology/approach – In total, 143 OPRs on a specific product on Amazon.com were collected as the sample of this study. Using content analysis ratings and observed data in OPRs, the research model was analyzed with the partial least squares (PLS) method. Findings – Results suggest that helpfulness rating and the degree of referencing are positively associated with NPDs’ information adoption, while the extremeness of product rating is negatively associated. Moreover, title attractiveness mitigates the negative relationship between the extremeness of product rating and information adoption. Practical implications – The findings provide interesting insight for NPDs who visit e-commerce sites to learn through electronic word-of-mouth (eWOM) communication. OPRs with a higher degree of referencing, higher helpfulness rating, moderate level of product rating, and higher degree of title attractiveness are better adopted by NPDs. Social implications – This paper investigates the value of OPRs for a specific group of information users and suggests that information about products generated by anonymous consumers can be crucial. Originality/value – While extant studies have focussed on the impacts of OPRs on consumers’ purchasing intention and behavior, this paper is among the first attempts to investigate the impacts of OPRs on developers’ information adoption. Therefore, it contributes to the body of knowledge on knowledge transfer from consumers to business as well as the information adoption literature.


2021 ◽  
Vol 1 ◽  
pp. 61-70
Author(s):  
Ilia Iuskevich ◽  
Andreas-Makoto Hein ◽  
Kahina Amokrane-Ferka ◽  
Abdelkrim Doufene ◽  
Marija Jankovic

AbstractUser experience (UX) focused business needs to survive and plan its new product development (NPD) activities in a highly turbulent environment. The latter is a function of volatile UX and technology trends, competition, unpredictable events, and user needs uncertainty. To address this problem, the concept of design roadmapping has been proposed in the literature. It was argued that tools built on the idea of design roadmapping have to be very flexible and data-driven (i.e., be able to receive feedback from users in an iterative manner). At the same time, a model-based approach to roadmapping has emerged, promising to achieve such flexibility. In this work, we propose to incorporate design roadmapping to model-based roadmapping and integrate it with various user testing approaches into a single tool to support a flexible data-driven NPD planning process.


Author(s):  
J Poolton ◽  
I Barclay

There are few studies that have found an adequate means of assessing firms based on their specific needs for a concurrent engineering (CE) approach. Managers interested in introducing CE have little choice but to rely on their past experiences of introducing change. Using data gleaned from a nine month case study, a British-wide survey and a series of in-depth interviews, this paper summarizes the findings of a research study that examines how firms orientate themselves towards change and how they go about introducing CE to their operations. The data show that there are many benefits to introducing CE and that firms differ with respect to their needs for the CE approach. A tentative means to assess CE ‘needs’ is proposed which is based on the level of complexity of goods produced by firms. The method is currently being developed and extended to provide an applications-based framework to assist firms to improve their new product development performance.


2010 ◽  
Vol 27 (3-4) ◽  
pp. 172-182 ◽  
Author(s):  
Effrosyni Petala ◽  
Renee Wever ◽  
Chris Dutilh ◽  
Han Brezet

2011 ◽  
Author(s):  
Chun-Yu Lin ◽  
Amy H. I. Lee ◽  
Ilias Kotsireas ◽  
Roderick Melnik ◽  
Brian West

2012 ◽  
Vol 452-453 ◽  
pp. 253-257 ◽  
Author(s):  
Li Lin ◽  
Xian Sheng Ran ◽  
Tian Hong Luo

This study extends the new product development (NPD) to a new field; Market Driving Digital New Product Development Method is addressed in this paper, which is based on reverse engineering and rapid prototyping technology. This study finds that the higher the effort on marketing-R&D process, the less possible it might encounter risk. Thus, a better NPD performance can be achieved by market driving Digital NPD method (MDDNPD).A case study of All-Terrain Vehicle (ATV) is used to illustrate the new method. We believe that the proposed methodology will have a positive impact on the future new product development.


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