What attracts vehicle consumers’ buying:A Saaty scale-based VIKOR (SSC-VIKOR) approach from after-sales textual perspective?

Purpose: The increasingly booming e-commerce development has stimulated vehicle consumers to express individual reviews through online forum. The purpose of this paper is to probe into the vehicle consumer consumption behavior and make recommendations for potential consumers from textual comments viewpoint. Design/methodology/approach: A big data analytic-based approach is designed to discover vehicle consumer consumption behavior from online perspective. To reduce subjectivity of expert-based approaches, a parallel Naïve Bayes approach is designed to analyze the sentiment analysis, and the Saaty scale-based (SSC) scoring rule is employed to obtain specific sentimental value of attribute class, contributing to the multi-grade sentiment classification. To achieve the intelligent recommendation for potential vehicle customers, a novel SSC-VIKOR approach is developed to prioritize vehicle brand candidates from a big data analytical viewpoint. Findings: The big data analytics argue that “cost-effectiveness” characteristic is the most important factor that vehicle consumers care, and the data mining results enable automakers to better understand consumer consumption behavior. Research limitations/implications: The case study illustrates the effectiveness of the integrated method, contributing to much more precise operations management on marketing strategy, quality improvement and intelligent recommendation. Originality/value: Researches of consumer consumption behavior are usually based on survey-based methods, and mostly previous studies about comments analysis focus on binary analysis. The hybrid SSC-VIKOR approach is developed to fill the gap from the big data perspective

The Determinants and Effects of Environmental Product Innovations - An Analysis on the Basis of Case Studies

The aim of the Integrated Product Policy (IPP) is to promote product-related eco-innovations. These, in turn, depend on both support for the development of environmentally-friendly products and stimulation of demand for such products. However, it is companies that play the crucial role in the ecological optimisation of products as it is they who – during the R&D phase - determine the basic environmental characteristics for the product utilisation and disposal phases. This paper therefore examines the main determinants and effects of environmental product innovations, including several case studies of companies in the German manufacturing sector. With regard to the possible determinants of ecological product innovations, regulation appears to be one of the main drivers of ecological innovation. New technology is the second most important stimulus. An increasing number of firms from different industries have identified the ecological and economic potential which lies in the consumption and waste disposal phases. Nevertheless, eco-efficient products still have to grapple with the problem of weak market performance. Neither eco-labels nor life-cycle analyses appear to be of great significance for innovating firms as they are – especially in the short term- far too costly and time-consuming. On the other hand, instruments which take account of manufacturers? product responsibility appear to have a major impact on ecological product design. --Integrated product policy (IPP),environmentally-friendly product innovations,innovation research,case studies

The role of industry, occupation, and location specific knowledge in the survival of new firms

How do regions acquire the knowledge they need to diversify their economic activities? How does the migration of workers among firms and industries contribute to the diffusion of that knowledge? Here we measure the industry, occupation, and location-specific knowledge carried by workers from one establishment to the next using a dataset summarizing the individual work history for an entire country. We study pioneer firms--firms operating in an industry that was not present in a region--because the success of pioneers is the basic unit of regional economic diversification. We find that the growth and survival of pioneers increase significantly when their first hires are workers with experience in a related industry, and with work experience in the same location, but not with past experience in a related occupation. We compare these results with new firms that are not pioneers and find that industry-specific knowledge is significantly more important for pioneer than non-pioneer firms. To address endogeneity we use Bartik instruments, which leverage national fluctuations in the demand for an activity as shocks for local labor supply. The instrumental variable estimates support the finding that industry-related knowledge is a predictor of the survival and growth of pioneer firms. These findings expand our understanding of the micro-mechanisms underlying regional economic diversification events

Introduction

This book investigates restructuring in the electronics industry and in particular the impact of a \u2018Chinese\u2019 labour regime on work and employ - ment practices in electronics assembly in Europe.1 Electronics is an extremely dynamic sector, characterized by an ever-changing organi - zational structure, as well as cut-throat competition, particularly in manufacturing. Located primarily in East Asia, electronics assembly has become notorious for poor working conditions, low unionisation and authoritarian labour relations. However, hostile labour relations and topdown HR policies are not unique to East Asia. They have become associated with the way the sector is governed more broadly, with a number of Western companies also coming to rely on such practices

Mediating between AI and highly specialized users

We report part of the design experience gained in X-Media, a system for knowledge management and sharing. Consolidated techniques of interaction design (scenario-based design) had to be revisited to capture the richness and complexity of intelligent interactive systems. We show that the design of intelligent systems requires methodologies (faceted scenarios) that support the investigation of intelligent features and usability factors simultaneously. Interaction designers become mediators between intelligent technology and users, and have to facilitate reciprocal understanding