Combined Railways Union float during Mayday procession 1965 Brisbane Australia

Combined Railways Union float during Mayday procession in 1965, Brisbane, Australia. Banners read Stop menacing hand of Vietnam War and 50,000 people used Beenleigh Southport line in 1963.

Meatworkers float during Mayday procession 1965 Brisbane Australia

Meatworkers float during Mayday procession 1965 Brisbane Australia. The Australasian Meat Industry Employees' Union, originally called the Australasian Federated Butchers Employees' Union, was formed in 1905 as an organisation of skilled and unskilled workers in all sectors of the Australian meat processing industry. Faced with a volatile industrial relations environment, AMIEU members developed a reputation for militancy and the AMIEU became one of Australia's most significant unions. In Queensland the union has been involved in many bitter industrial disputes, including the Townsville meatworkers' strike of 1918-19 and the 1946 meat industry strike.

BWIU float with banner End War in Vietnam during Mayday march Brisbane 1965

BWIU with float End war in Vietnam during Mayday procession Brisbane, Australia, May 1965.

Information internalization and hurdle rates in small and medium enterprise internationalization

We investigate the role of information in the internationalization of small and medium enterprises (SMEs). Information internalization is fundamentally antecedent to SME internationalization and is being facilitated increasingly by recent important trends. We offer a conceptual explanation and related propositions on information internalization, emphasizing hurdle rate theory for ascertaining the acceptability of firms' internationalization projects.

Pat Connoly during May Day procession 1971 Brisbane Australia

Marchers including Pat Connoly during the May Day procession 1971 Brisbane, Australia.

Marchers during May Day procession 1971 Brisbane Australia

Marchers during the May Day procession 1971 Brisbane, Australia.

A model of factors affecting an information system's change in state

Management are keen to maximize the life span of an information system because of the high cost, organizational disruption, and risk of failure associated with the re-development or replacement of an information system. This research investigates the effects that various factors have on an information system's life span by understanding how the factors affect an information system's stability. The research builds on a previously developed two-stage model of information system change whereby an information system is either in a stable state of evolution in which the information system's functionality is evolving, or in a state of revolution, in which the information system is being replaced because it is not providing the functionality expected by its users. A case study surveyed a number of systems within one organization. The aim was to test whether a relationship existed between the base value of the volatility index (a measure of the stability of an information system) and certain system characteristics. Data relating to some 3000 user change requests covering 40 systems over a 10-year period were obtained. The following factors were hypothesized to have significant associations with the base value of the volatility index: language level (generation of language of construction), system size, system age, and the timing of changes applied to a system. Significant associations were found in the hypothesized directions except that the timing of user changes was not associated with any change in the value of the volatility index. Copyright (C) 2002 John Wiley Sons, Ltd.