My Research Programme (2002 - Now)

Innovative Auto-ID and LBS - Chapter One Introduction

This study is concerned with the automatic identification (auto-ID) industry which first came to prominence in the early 1970s. Auto-ID belongs to that larger sector known as information technology (IT). As opposed to manual identification, auto-ID is the act of identifying a living or nonliving thing without direct human intervention. Of course, the process of auto-ID data capture and collection requires some degree of human intervention, but the very act of authenticating or verifying an entity can now be done automatically. An entity can possess a unique code indicating personal identification or a group code indicating conformity to a common set of characteristics. Some of the most prominent examples of auto-ID techniques that will be explored in this book include bar code, magnetic-stripe, integrated circuit (IC), biometric and radio-frequency identification (RFID). The devices in which these techniques are packaged include a variety of form factors such as labels and tags, card technologies, human feature recognition, and implants. 

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The Auto-ID Trajectory - Titlepage

This is the titlepage of my PhD thesis completed at the University of Wollongong in 2003 on the topic of the Automatic Identification Trajectory. I began my research in February 1997, submitted on the 5th May 2003, and graduated on the 19th December 2003. I received news of my PhD results some 12 hours after giving birth to my first child. Needless to say after 28 hours of intense labour, the news of the 6+ years of research on automatic identification was put in perspective. It is indeed the journey that matters...

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The Auto-ID Trajectory - Abstract

Traditionally the approach used to analyse technological innovation focused on the application of the techno-economic paradigm with the production function as its foundation. This thesis explores the rise of the evolutionary paradigm as a more suitable conceptual approach to investigating complex innovations like automatic identification (auto-ID) devices. Collecting and analysing data for five auto-ID case studies, (bar codes, magnetic-stripe cards, smart cards, biometrics and RF/ID transponders), it became evident that a process of migration, integration and convergence is happening within the auto-ID technology system (TS). The evolution of auto-ID is characterised by a new cluster of innovations, primarily emerging through the recombination of existing knowledge. Using the systems of innovation (SI) framework this study explores the dynamics of auto-ID innovation, including organisational, institutional, economic, regulatory, social and technical dimensions. The results indicate that for a given auto-ID innovation to be successful there must be interaction between the various stakeholders within each dimension. The findings also suggest, that the popular idea that several technologies are superseded by one dominant technology in a given selection environment, does not hold true in the auto-ID industry. 

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The Auto-ID Trajectory - Publications

During my PhD I was working full-time for Nortel Networks as a senior network and business planner. I did not have much time left over to write papers for conferences or submit to journals. But I did manage to write a number of case studies for a textbook on electronic commerce and as part of my day job present at several global conferences.

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The Auto-ID Trajectory - Chapter One Introduction

This thesis is concerned with the automatic identification (auto-ID) industry which first came to prominence in the early 1970s. Auto-ID belongs to that larger sector known as information technology (IT). As opposed to manual identification, auto-ID is the act of identifying a living or nonliving thing without direct human intervention. Of course the process of auto-ID data capture and collection requires some degree of human intervention but the very act of authenticating or verifying an entity can now be done automatically. An entity can possess a unique code indicating personal identification or a group code indicating conformity to a common set of characteristics. Some of the most prominent examples of auto-ID techniques that will be explored in this thesis include bar code, magnetic-stripe, integrated circuit (IC), biometric and radio-frequency identification (RF/ID). The devices in which these techniques are packaged include labels and tags, card technologies, human feature recognition, and implants. Generally the devices are small in size, not larger than that of a standard credit card.

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