An examination of actors that impact technology introduction to FM

Developing and implementing a technology for Facilities Management (FM) can be a complex process. This is particularly the case when a technology impacts on an organisation as a whole. There are often a number of relevant actors, internal and external to FM, who should be engaged. This engagement is guided by the strategy of the organisation which is led by top management decisions. Indeed, it is top management who have the final decision to implement a technology. Actors of top management and other relevant actors will have their own discourses toward the implementation of the technology based on how they foresee the technology befittingly benefitting the organisation. This paper examines actors who play a relevant and necessary part in supporting and implementing a technology to FM. It examines how an actor’s discourse toward the project inhibits or speeds up the implementation of a technology. The methods used for this paper are based on a two year case study in a FM department where a technology development was observed and interviews with key participants were conducted. Critical discourse analysis is used to analyse the data. Prominent discourses that emerge from the data are emphasised during the process of introducing the technology. This research moves beyond focusing purely on project successes but examines the difficulties and the hurdles that must be overcome to reach a successful technology implementation.

A three-regime model of speculative behaviour: modelling the evolution of the S&P 500 composite index

We examine whether a three-regime model that allows for dormant, explosive and collapsing speculative behaviour can explain the dynamics of the S&P 500. We extend existing models of speculative behaviour by including a third regime that allows a bubble to grow at a steady rate, and propose abnormal volume as an indicator of the probable time of bubble collapse. We also examine the financial usefulness of the three-regime model by studying a trading rule formed using inferences from it, whose use leads to higher Sharpe ratios and end of period wealth than from employing existing models or a buy-and-hold strategy.