scholarly journals Product Recommendation Agents for Cyber Shopping Consumers

2012 ◽  
pp. 586-599
Author(s):  
Tobias Kowatsch ◽  
Wolfgang Maass

With cyber shopping, consumers face a massive amount of product information before an educated purchase decision can be made. Identifying relevant products is therefore laborious for consumers, in particular when they look for non-commodity products such as consumer electronics. Product Recommendation Agents (PRAs) help consumers in finding relevant products efficiently. PRAs recommend a set of products either explicitly according to product attributes preferred by the consumer or implicitly based on consumers’ interests and activities. PRAs retrieve hereby product information from various sources such as a retailer’s product database or a third-party’s review database. This entry introduces and discusses PRAs for cyber shopping consumers from five perspectives: (1) Purchase decision-making, (2) natural language interaction, (3) dynamic pricing, (4) product reviews, and finally, (5) product recommendation infrastructures. Future research directions on PRAs for cyber shopping conclude this entry.

Author(s):  
Jing Huo ◽  
Qinglong Gou ◽  
Qi Dai ◽  
Zhimin Huang

Online word-of-mouth (WOM) has received significant research attention as the Internet has rapidly developed. Owing to specific Internet platforms such as consumer reviews sites and social network sites, online WOM spreads much more quickly and widely than traditional WOM, and that phenomenon ultimately makes online WOM play a key role in a consumer's purchase decision. In this chapter we present an overview of previous research on online WOM to facilitate future research in this area. In this review, previous researches are divided into three streams, i.e., (1) the effectiveness of online WOM, (2) the valence of online WOM, and (3) the antecedents and consequences of online WOM. Also, two possible future research directions are suggested at the end the chapter.


Author(s):  
Kamran Goher ◽  
Essam Shehab ◽  
Ahmed Al-Ashaab

Model-Based Definition (MBD) is being adopted by the manufacturing industry as a single source for all product information in place of conventional 2D drawings. This paper aims to review the current literature on Model-Based Definition (MBD) and Model-Based Enterprise (MBE) to recognize the main contributions towards the development and implementation of MBD and explore its various perspectives. The publications encompassing technology and applications of MBD are categorized into seven domains. These domains are lifecycle information; design, discrete part manufacturing, and inspection; assembly; maintenance, repair, and overhaul; process planning; engineering change management; and contemporary aspects of digital product definition. The major outcomes of research literature, in these domains, are reviewed and future research directions are identified and formulated. Additionally, the paper highlights the issues and challenges associated with the realization of MBE by the manufacturing industry. These issues are categorized into technical, management, and certification categories. The prevalent issues in each of these categories are further discussed and analyzed.


2016 ◽  
Vol 26 (4) ◽  
pp. 1001-1026 ◽  
Author(s):  
Kyung Young Lee ◽  
Ying Jin ◽  
Cheul Rhee ◽  
Sung-Byung Yang

Purpose – The purpose of this paper is to investigate how consumers respond to price changes by analyzing online product reviews (OPRs) posted on a product (Amazon’s Kindle 2), and to suggest several future research topics on online consumers’ reactions embedded in OPRs. Design/methodology/approach – An exploratory case study is conducted using OPRs added to the Kindle 2. By analyzing 6,714 OPRs, the authors examine how online consumers respond to two continual price decreases embedded in the observable (star rating and review depth) and implicit (positive and negative emotions) features of OPRs as well as how the number of OPRs per day has changed after two price drops. Findings – The authors found that all four features of OPRs (star rating, review depth, positive emotion, and negative emotion) and the number of OPRs per day had significantly changed after two price decreases for both long-term and short-term periods. In addition, online consumers’ reactions to price decreases in terms of these four features and the change in the number of OPRs per day were different between the first and the second price drops. Research limitations/implications – This study investigates online consumers’ reactions to price decreases only. Future research should investigate other cases where price changes under the dynamic pricing strategy in order to find the relationship between price increases/decreases and consumers’ reactions. Practical implications – This study implies that online merchants should consider consumer groups’ innovation adoption stages and make strategic decisions for price decreases to improve the sales of their products. Originality/value – While prior research involving the effects of price changes on consumers’ reactions has focussed on offline consumers, this is among the first attempts to address the long- and short-term reactions to price changes in terms of both the observable and implicit features of OPRs, and suggests that consumers’ reactions to price changes in OPRs are more complex.


Author(s):  
Zhanjun Li ◽  
Min Liu ◽  
Karthik Ramani

Engineers spend a significant amount of time searching for the right product information during the design and manufacturing process. A large amount as well as various types of product information have been generated and are available within the engineering databases. But representing and indexing the products effectively and retrieving them efficiently, remains a challenge. The purpose of this survey is to document the current state of research and development. We then identify avenues for exploration and provide a comparison of the advantages, disadvantages, and limitations among the various techniques. This survey concludes by suggesting possible future research directions.


2019 ◽  
Vol 34 (2) ◽  
pp. 401-411 ◽  
Author(s):  
Birce Dobrucalı

PurposeThis study aims to provide a contemporary, holistic and systematic review regarding the impact of country-of-origin on industrial purchase decision-making by ascertaining, synthesizing and evaluating theoretical, methodological and empirical dimensions of studies on the subject.Design/methodology/approachAfter the collection and refinement of 43 studies that appeared in marketing, business and management literatures during 1970-2017, systematic review was applied to discover the current situation and future research directions on the subject.FindingsThe vast majority of the existing studies obtained data from a single source even though industrial purchase decisions are mainly made by a large group of decision-makers. Moreover, the existing literature contains few over-studied theoretical perspectives while lacking integration of the subject with the more contemporary ones. Additionally, in the literature, combination of developing countries as source countries, and developed ones as target countries, is under-examined, and the differentiation between country-of-design and country-of-assembly is mainly avoided during operationalization. Finally, majority of the studies lack investigation of antecedents and mainly investigated few over-examined constructs as outcomes.Research limitations/implicationsThis study provides a conceptual synthesis of existing studies. A meta-analysis may be applied to empirical studies for providing a further detailed framework.Originality/valueThis study contributes to industrial marketing literature by providing a compiled and synthesized inventory of knowledge for scholars; deriving a comprehensive analysis of research designs, methodologies and findings addressed by researchers in the field; noticing various theoretical, methodological and other gaps to be examined; and providing future research directions.


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