A framework to evaluate the impact of ICT usage on collaborative product development performance in manufacturing firms : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Engineering at Massey University, Auckland, New Zealand

Manufacturers are increasingly adopting collaborative product development (CPD) to achieve competitive advantage through joint synergies. Information and communication technology (ICT) is the major enabler of communication, collaboration, product designing, development, knowledge and information management, project management, and market research activities involved in CPD. Most ICT implementations incur a significant cost for firms, thus a deeper understanding of the impact of ICT usage on CPD performance would be immensely useful for managing ICT resources effectively in innovation programmes. However, existing evidence for the direct relationships between ICT usage and performance dimensions are counterintuitive (negative or insignificant). Not considering the different aspects of ICT usage was identified as a key reason for the lack of strong empirical evidence. Furthermore, the impact of ICT usage on collaboration-based product development performance and indirect impact through this collaboration performance on new product performance, as well as moderating effects of project characteristics on the direct and indirect ICT impact have largely been ignored in the literature. Therefore, drawing on relational resource-based view and organizational information processing theory, this study develops and utilizes a model including multidimensional ICT usage and CPD performance measurements, and possible moderating project characteristics, for better evaluating the impact of ICT usage on CPD performance. Initially, product development professionals from manufacturing firms and knowledgeable managers from ICT vendor firms were interviewed for a preliminary qualitative evaluation of the suggested model with industry perspectives. In addition, a quantitative investigation of secondary data obtained from the PDMA’s (Product Development and Management Association) 2012 comparative performance assessment study was conducted prior to the main survey in order to assess the significance of the proposed model with a different source of data. In the final main quantitative study, data collected from 244 CPD projects via an online global survey were used to test the research hypotheses. The study contributes to the current body of knowledge by revealing a positive direct impact of ICT usage on new product performance in terms of quality, commercial success, and time performance, and collaboration performance, which also in turn increases new product performance. In addition, moderating effects of project characteristics (complexity and uncertainty) on these associations have been explored. The study implies that manufacturers need to value not only the direct project benefits of ICT use, but also the collaboration-related outcomes that significantly increase the likelihood of achieving higher performance in their present and future CPD projects. Adequate attention must be paid to individual ICT usage dimensions as well. Particularly, other than frequency of ICT use, manufacturing firms need to improve the utilization of available features and functionalities of the tools (intensity) and the ICT proficiency of R&D staff, to gain the desired results in CPD projects

Quantum and Classical Strong Direct Product Theorems and Optimal Time-Space Tradeoffs

A strong direct product theorem says that if we want to compute k independent instances of a function, using less than k times the resources needed for one instance, then our overall success probability will be exponentially small in k. We establish such theorems for the classical as well as quantum query complexity of the OR function. This implies slightly weaker direct product results for all total functions. We prove a similar result for quantum communication protocols computing k instances of the Disjointness function. Our direct product theorems imply a time-space tradeoff T^2*S=Omega(N^3) for sorting N items on a quantum computer, which is optimal up to polylog factors. They also give several tight time-space and communication-space tradeoffs for the problems of Boolean matrix-vector multiplication and matrix multiplication.Comment: 22 pages LaTeX. 2nd version: some parts rewritten, results are essentially the same. A shorter version will appear in IEEE FOCS 0

A Hypercontractive Inequality for Matrix-Valued Functions with Applications to Quantum Computing and LDCs

The Bonami-Beckner hypercontractive inequality is a powerful tool in Fourier analysis of real-valued functions on the Boolean cube. In this paper we present a version of this inequality for matrix-valued functions on the Boolean cube. Its proof is based on a powerful inequality by Ball, Carlen, and Lieb. We also present a number of applications. First, we analyze maps that encode $n$ classical bits into $m$ qubits, in such a way that each set of $k$ bits can be recovered with some probability by an appropriate measurement on the quantum encoding; we show that if $m<0.7 n$, then the success probability is exponentially small in $k$. This result may be viewed as a direct product version of Nayak's quantum random access code bound. It in turn implies strong direct product theorems for the one-way quantum communication complexity of Disjointness and other problems. Second, we prove that error-correcting codes that are locally decodable with 2 queries require length exponential in the length of the encoded string. This gives what is arguably the first ``non-quantum'' proof of a result originally derived by Kerenidis and de Wolf using quantum information theory, and answers a question by Trevisan.Comment: This is the full version of a paper that will appear in the proceedings of the IEEE FOCS 08 conferenc