The gender composition of boards after an IPO

Purpose - The purpose of this paper is to empirically analyse the change in the gender composition of the boards of large Australian companies, after listing.
Design/methodology/approach - This study investigates the gender composition of the boards of large Australian companies at the time of the initial public offering (IPO) and subsequently as these companies mature into established public companies. It also investigates industry influences and organizational size influences on the board composition at the time of the IPO and subsequently.
Findings - No significant change is found in the proportion of male and female directors holding directorships at the time of the IPO and some five to eight years later when the company is recorded as a top 500 company (by market capitalization) on the Australian lists. This implies that the capital market is generally satisfied by the gender composition of boards from the time of the IPO.
Originality/value - This paper extends on previous work which provides evidence of a relatively low proportion of female directors on the boards of Australian initial public offerings.

Factors influencing money left on the table by property trust IPO issuers

While previous listed property trust (LPT) initial public offering (IPO) studies have identified low under pricing returns, this study specifically examines the amount of money left on the table by the pre-IPO owners in this category of IPO. This study investigates 58 property trust IPOs in Australia from 1994 to 2004 and finds that the amount of money left by LPT IPOs is considerably less than industrial company IPOs, implying considerably less uncertainty about the valuation of such IPOs compared to industrials. We also find that more recent (post 2000) LPT IPOs in Australia appear to be significantly different to previous LPT IPOs in both money left and under pricing terms.

Market virtues and public failures : antecedents to public sector reform in the contract state

This paper considers the historical factors that have contributed to the pressures for reform in the Australian State of Victoria which proved to be more radical than paths taken by the Commonwealth Government and any other Australian states. As public management in Victoria made tentative steps towards market orientated practices, the inexperienced public officials, together with a mixture of political, economic, administrative and social factors made the government more vulnerable to a perceived need for reform. Australia, like the United Kingdom and New Zealand with which it shares similarities of government structure, commenced the path of reform in a tentative manner with major reforms being implemented by powerful leaders. Powerful reformers were Margaret Thatcher in the United Kingdom, a group of like minded politicians from Treasury in New Zealand and in the Australian State of Victoria, Jeff Kennett. Each capitalised on a sense of crises to move their reform agenda forward at a rapid pace. Victoria is offered as an illustration of how the past provides a means of understanding why Premier Jeff Kennett was able during the 1990's, to implement public sector reform into Victoria in such a dramatic way.

Stakeholder and gender characteristics of mining and energy IPO boards of directors

The mining and energy sectors are particularly publicly sensitive sectors and subject to a high degree of public scrutiny. Evan and Freeman (1993) suggest that such public scrutiny needs may be better met by having direct public stakeholder representation on the board of directors. Similarly, Bilimoria (2000) argues a strong commercial case for engaging women on boards. This paper investigates the number and proportion of non equity holding public stakeholder directors and the number and proportion of women directors on the boards of Australian mining and energy company initial public offerings (IPOs) and reports a paucity of public stakeholder directors and also a low proportional female representation on such IPO boards.

Hot issues, new economy stocks and Australian industry IPO returns in the late 1990s

This paper analyses Australian IPOs at an industry level for the period 1994 to 1999. We find a significant relationship between capital weighted IPO industry returns and contemporaneous index returns suggesting that capital raising and money left on the table arguments matter. We do not find any hot issue years at an industry level. Further at an industry level we find that new economy listings are not different to listings from other sectors of the economy.

Analysis of IPO dividend forecasts for Australian LPTs

While dividend forecasts in the prospectuses of initial public offerings (IPOs) are common, Brown et al. (2000) have found them to be optimistically biased. This study investigates the dividend/distribution forecasts in the prospectuses of Australian LPT IPOs during the period 1994 to 2004 and finds on average that they are not optimistically biased. Because dividends have important cash flow implications for investors, this study also examines factors that might influence the magnitude of the errors between the forecast and the actual distributions. It finds that LPT IPOs that offer stapled securities have overestimated their distribution paying ability.

Auditor change during listing : effect on IPO premiums

The study investigates the relationship between auditing services provided to 213 listed firms over a period from 1996 to 2000 by reputable (or tier 1) and non-reputable (non-tier 1) audit firms and the initial returns at listing. We use market adjusted initial return to reflect the firm’s choice of auditor during the initial public offering (IPO’s). The findings show that there is an inclination for listed firms to engage tier 1 audit firms, probably due to management’s intention of signal the firm’s favorable private information and credibility and integrity of reported financial information and ultimately increasing their chances of getting listed. The findings alos show that there is no significant difference in the initial returns of IPO’s firms irrespective of the reputation of auditors. However, there is a significant difference in the initial return of main and second board firms at listing whether firms are either audited by Tier 1 or non-Tier 1 audit firms. Firms that had upward switch showed higher returns, inconsistent with the auditor reputation hypothesis. This results, however, could be biased by the large number of new firms that did not switch auditors at listing, probably due to lack of time to make changes before listing, and/or have engaged tier 1 auditors at incorporation in anticipation of listing. However, the findings showed significant higher returns for second board firms relative to main board firms. These results do not support the widely held view that firms that seek listing do switch auditors prior to their listing for positive market signalling. The results indicate that auditor’s reputation is not an important determinant of the IPO’s initial return.

Textural fractography of fatigue failures under variable cycle loading

A new concept of counting time at fatigue processes is proposed, aimed to reach fractographic compatibility in cases of different loading sequences. Values of cycle effectivity are summarized to give the new reference time. The improvement is shown in application - textural fractography of three specimens loaded by constant cycle, constant cycle with periodic overloading, and a random block, respectively. In contrast to the conventional crack growth rate, the reference crack growth rate is related to common morphologic features of all fracture surfaces.

A guided rule reduction system for prioritization of failures in fuzzy FMEA

Traditional Failure Mode and Effect Analysis (FMEA) utilizes the Risk Priority Number (RPN) ranking system to evaluate the risk level of failures, to rank failures, and to prioritize actions. Although this method is simple, it suffers from several shortcomings. In this paper, use of fuzzy inference techniques for RPN determination in an attempt to overcome the weaknesses associated with the traditional RPN ranking system is investigated. However, the fuzzy RPN model, suffers from the combinatorial rule explosion problem. As a result, a generic rule reduction approach, i.e. the Guided Rule Reduction System (GRRS), is proposed to reduce the number of rules that need to be provided by users during the fuzzy RPN modeling process. The proposed approach is evaluated using real-world case studies pertaining to semiconductor manufacturing. The results are analyzed, and implications of the proposed approach are discussed.

Fuzzy FMEA with a guided rules reduction system for prioritization of failures

Purpose – To propose a generic method to simplify the fuzzy logic-based failure mode and effect analysis (FMEA) methodology by reducing the number of rules that needs to be provided by FMEA users for the fuzzy risk priority number (RPN) modeling process.

Design/methodology/approach – The fuzzy RPN approach typically requires a large number of rules, and it is a tedious task to obtain a full set of rules. The larger the number of rules provided by the users, the better the prediction accuracy of the fuzzy RPN model. As the number of rules required increases, ease of use of the model decreases since the users have to provide a lot of information/rules for the modeling process. A guided rules reduction system (GRRS) is thus proposed to regulate the number of rules required during the fuzzy RPN modeling process. The effectiveness of the proposed GRRS is investigated using three real-world case studies in a semiconductor manufacturing process.

Findings – In this paper, we argued that not all the rules are actually required in the fuzzy RPN model. Eliminating some of the rules does not necessarily lead to a significant change in the model output. However, some of the rules are vitally important and cannot be ignored. The proposed GRRS is able to provide guidelines to the users which rules are required and which can be eliminated. By employing the GRRS, the users do not need to provide all the rules, but only the important ones when constructing the fuzzy RPN model. The results obtained from the case studies demonstrate that the proposed GRRS is able to reduce the number of rules required and, at the same time, to maintain the ability of the Fuzzy RPN model to produce predictions that are in agreement with experts' knowledge in risk evaluation, ranking, and prioritization tasks.

Research limitations/implications – The proposed GRRS is limited to FMEA systems that utilize the fuzzy RPN model.

Practical implications – The proposed GRRS is able to simplify the fuzzy logic-based FMEA methodology and make it possible to be implemented in real environments.

Originality/value – The value of the current paper is on the proposal of a GRRS for rule reduction to enhance the practical use of the fuzzy RPN model in real environments.