How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

The authors examine the implications of electronic shopping for consumers, retailers, and manufacturers. They assume that near-term technological developments will offer consumers unparalleled opportunities to locate and compare product offerings. They examine these advantages as a function of typical consumer goals and the types of products and services being sought and offer conclusions regarding consumer incentives and disincentives to purchase through interactive home shopping vis-à-vis traditional retail formats. The authors discuss implications for industry structure as they pertain to competition among retailers, competition among manufacturers, and retailer-manufacturer relationships.

Interactive home shopping: Consumer, retailer, and manufacturer incentives to participate in

House of Quality

This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focusses on business applications of data mining.Methods are presented with simple examples, applications are reviewed, and relativ advantages are evaluated.

http://cbafiles.unl.edu/public/cbainternal/facStaffUploads/AdvancedDataMiningTechniques.pdf

Advanced Data Mining Techniques

Quality function deployment: A literature review

In recent years, the use of option pricing models to support IT investment decisions has been proposed in the MIS literature. In this paper, we discuss the practical advantages of such techniques for the selection of a software platform. First, we argue that traditional quantitative approaches to a cost-benefit analysis give only a partial picture of such decision situations: due to the long planning horizon required because of the time-consuming and resource-intensive implementation process, it is not possible to exactly predict which applications will, in fact, run on the system over time. Thus, the investor is faced with the problem of valuing "implementation opportunities." We then compare different valuation techniques for this task and discuss their respective advantages and drawbacks. The practical advantages of employing such models are demonstrated by describing a real-life case study where option pricing models were used for deciding whether to continue employing SAP R/2 or to switch to SAP R/3.

Options analysis of software platform decisions: a case study

Purpose – The purpose of this paper is to investigate how and how much open innovation is used across Europe. The goal of this study is therefore to provide comprehensive empirical evidence for the adoption of inbound and outbound open innovation activities in Europe.Design/methodology/approach – Data from 180 European companies were used to test three hypotheses on open innovation adoption and the role of internal R&D. Data were collected in 2009 and the sample comprises companies from different industries and 24 European countries.Findings – It is found that 30.3 per cent of European companies are very open to innovation and 38.7 per cent are semi‐open. The results show that inbound open innovation is more commonly used than outbound open innovation, which can be explained by insufficiencies of the market or the organization. Finally, it is found that the type of innovation strategy (vertically integrated, inbound, outbound, or mixed) is related to the R&D intensity.Originality/value – This paper provid...

Open innovation modes and the role of internal R&D: An empirical study on open innovation adoption in Europe

An improved collaborative filtering approach for predicting cross-category purchases based on binary market basket data

https://isiarticles.com/bundles/Article/pre/pdf/2404.pdf

A dynamic segmentation approach for targeting and customizing direct marketing campaigns

The open innovation approach has been one of the most discussed topics in innovation management literature in the 2000s. Over the past few years, academic publications on open innovation have increased substantially. This paper attempts to summarize and review the state-of-the-art of empirical open innovation research and develop new opportunities for open innovation research in the future. In order to make the papers more comparable, a clear focus on large-scale quantitative-oriented studies was set. From a total of 282 documents, 30 studies were analyzed in detail along four key dimensions: Firstly, different methods of measuring open innovation adoption are compared. Then, the level of open innovation adoption is analyzed on a general basis. Thirdly, the level of adoption is compared at the level of the open innovation mode (inbound and outbound). Finally, the study results regarding the variables that influence open innovation adoption are compared and conclusions for future research directions are drawn.

Andreas Mild

Papers

Options analysis of software platform decisions: a case study

Open innovation modes and the role of internal R&D: An empirical study on open innovation adoption in Europe

An improved collaborative filtering approach for predicting cross-category purchases based on binary market basket data

A dynamic segmentation approach for targeting and customizing direct marketing campaigns

A critical review of empirical research on open innovation adoption