Forecasting Technological Impacts on Customers’ Co-Consideration Behaviors: A Data-Driven Network Analysis Approach

2016 ◽  
Author(s):  
Mingxian Wang ◽  
Zhenghui Sha ◽  
Yun Huang ◽  
Noshir Contractor ◽  
Yan Fu ◽  
...  
Keyword(s):  
Network Analysis ◽  
Product Design ◽  
Data Driven ◽  
Analysis Approach ◽  
Quadratic Assignment ◽  
Technological Changes ◽  
Technological Developments ◽  
Complex Relationships ◽  
The Impact

Forecasting customers’ responses and market competitions is essential before launching major technological changes in product design. In this research, we present a data-driven network analysis approach to understand the interactions among technologies, products, and customers. Such an approach provides a quantitative assessment of the impact of technological changes on customers’ co-consideration behaviors. The multiple regression quadratic assignment procedure (MRQAP) is employed to quantitatively predict product co-consideration relations as a function of various effect networks created by associations of product attributes and customer demographics. The uniqueness of the proposed approach is its capability of predicting complex relationships of product co-consideration as a network. Using vehicles as a case study, we forecast the impacts of two technological changes — adopting the fuel economy-boosting technology and the turbo engine technology by individual auto companies. The case study provides vehicle designers with insights into the change of market competitions brought by new technological developments. Our proposed approach links the market complexity to technology features and subsequently product design attributes to guide engineering design decisions in the complex customer-product systems.

scholarly journals Predicting product co-consideration and market competitions for technology-driven product design: a network-based approach

2018 ◽  
Vol 4 ◽  
Author(s):  
Mingxian Wang ◽  
Zhenghui Sha ◽  
Yun Huang ◽  
Noshir Contractor ◽  
Yan Fu ◽  
...  
Keyword(s):  
Data Driven ◽  
Quadratic Assignment ◽  
Vehicle Design ◽  
Technological Changes ◽  
Integrated Network ◽  
Market Structures ◽  
Qualitative Understanding ◽  
Technological Developments ◽  
The Impact

We propose a data-driven network-based approach to understand the interactions among technologies, products, and customers. Specifically, the approach enables both a qualitative understanding and a quantitative assessment of the impact of technological changes on customers’ co-consideration behaviors (decision of cross-shopping) and as a consequence the product competitions. The uniqueness of the proposed approach is its capability of predicting complex co-consideration relations of products as a network where both descriptive analyses (e.g., network statistics and joint correspondence analysis) and predictive models (e.g., multiple regressions quadratic assignment procedure) are employed. The integrated network analysis approach features three advantages: (1) It provides an effective visual representation of the underlying market structures; (2) It facilitates the evaluation of the correlation between customers’ consideration preferences and product attributes as well as customer demographics; (3) It enables the prediction of market competitions in response to potential technological changes. This paper demonstrates the proposed network-based approach in a vehicle design context. We investigate the impacts of the fuel economy-boosting technologies and the turbocharged engine technology on individual automakers as well as the entire auto industry. The case study provides vehicle engineers with insights into the change of market competitions brought by technological developments and thereby supports attribute decision-making in vehicle design.

Exploring Shared Work Values and Work Collaboration With a Network Approach

2021 ◽  
pp. 43-58
Author(s):  
Aizhan Tursunbayeva ◽  
Stefano Di Lauro ◽  
Gilda Antonelli
Keyword(s):  
Network Analysis ◽  
Work Values ◽  
Real Life ◽  
Shared Values ◽  
Analysis Approach ◽  
Organizational Leaders ◽  
Organizational Network ◽  
Substantial Interest

A real-life case study presented in this chapter reports on how organizational network analysis approach was used in a medium-sized Italian company with circa 100 employees to examine how the company employees were connected by shared values at work, what these values are, and whether and how their value connectedness impacted the quality of their collaboration. The findings indicate that there was a positive correlation between shared work values and work collaboration, present benchmarks for network parameters, as well as propose macro-categories of work values. To the best of the authors' knowledge, this is the first study to use the network-analysis approach to explore shared values and employee collaboration at work. The chapter should be of substantial interest not only to academic scholars but also to organizational leaders and HR practitioners.

scholarly journals Vulnerability in a tracked society: Combining tracking and survey data to understand who gets targeted with what content

2020 ◽  
Vol 22 (11) ◽  
pp. 1996-2017
Author(s):  
Nadine Bol ◽  
Joanna Strycharz ◽  
Natali Helberger ◽  
Bob van de Velde ◽  
Claes H de Vreese
Keyword(s):  
Survey Data ◽  
Online Communication ◽  
Data Driven ◽  
Health Conditions ◽  
User Characteristics ◽  
Individual Perceptions ◽  
Health Related ◽  
Online Tracking ◽  
The Impact

While data-driven personalization strategies are permeating all areas of online communication, the impact for individuals and society as a whole is still not fully understood. Drawing on Facebook as a case study, we combine online tracking and self-reported survey data to assess who gets targeted with what content. We tested relationships between user characteristics (i.e. socio-demographic and individual perceptions) and exposure to branded content on Facebook. Findings suggest that social media use sophisticated algorithms to target specific groups of users, especially in the context of gender-stereotyping and health. Health-related content was predominantly targeted at older users, females, and at those with higher levels of trust in online companies, as well as those in poorer health conditions. This study provides a first indication of unfair targeting that reinforces stereotypes and creates inequalities, and suggests rethinking the impact of algorithmic targeting in creating new forms of individual and societal vulnerabilities.

A Window on Digital Games Interactions in Home Settings

2009 ◽  
pp. 127-145 ◽  
Author(s):  
Elhanan Gazit
Keyword(s):  
Learning Environments ◽  
Digital Games ◽  
Building Blocks ◽  
Interactive Learning Environments ◽  
Design And Implementation ◽  
Close Observation ◽  
Real World Learning ◽  
Complex Relationships ◽  
The Impact

This chapter presents an analysis of the dynamics of children’s digital games interactions, which take place in their home surroundings, based on empirical case study. Since digital games have become one of the main building blocks in children’s world, there is a need to examine the impact of the widespread use of digital games in children’s everyday life. The study’s framework served as a window for close observation of the ways young children spontaneously play digital games and interact with each other. Theoretical implications for digital games research and the pedagogical implications regarding the design and implementation of interactive learning environments are discussed. In addition, there are methodological challenges of finding new pathways for studying the complex relationships between digital games and real-world learning interactions. The study’s findings and their implications could serve as a small step in perusing these challenges.

A Conceptual Model for Sustainable Product Design

2013 ◽  
Vol 572 ◽  
pp. 3-6 ◽  
Author(s):  
Awanis Romli ◽  
Paul Prickett ◽  
Rossitza Setchi ◽  
Shwe Shoe
Keyword(s):  
Product Design ◽  
Conceptual Model ◽  
Design Model ◽  
Quality Analysis ◽  
Sustainable Product Design ◽  
Product Usage ◽  
Sustainable Product ◽  
Decision Making Model ◽  
The Impact

This paper proposes a conceptual model to support sustainable product design. The approach develops an integrated multimodal decision making model which is to be introduced early in the design process, as the basis for the integration of the life cycle assessment into an Eco-design model. The model, which is based upon an adapted “House of Quality” analysis, supports designers when assessing the environmental impact of the product design. The resulting Eco-design model evaluates the sustainability of the designed product using criteria that consider the impact of manufacturing process, product usage and end-of-life (EoL) disposal strategy. This approach is demonstrated using a case study that considers the design of a set of crocodile medical forceps, in which the redesign of a new forceps is undertaken by considering all the parameters in the Eco-design model.

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