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We examined the role gender plays in managerial stereotypes and changes that have occurred in the US for executive women in the workforce. We also investigated factors and personality traits that affect advancement into upper management for all executives and those that affect women in particular. Despite increased organisational sensitivity, public policies, and equal rights legislation, women continue to be underrepresented in corporate America. Pay increases and promotions for females have not kept pace with those for men. Study results also indicate that managerial womenwho juggle jobs and family life benefit from these multiple roles, but women who put off marriage and family to build top‐level careers suffer in later years from greatly reduced chances of finding spouses and having children. Further adaptation of organisational culture in the new economy, weakening of the glass ceiling phenomenon, and family friendly work policies may alleviate some of the difficulties experienced by women who want it all.

This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/02610150310787351. When citing the article, please cite: Dean Elmuti, Judith Lehman, Brandon Harmon, Xiaoyan Lu, Andrea Pape, Ren Zhang, Terad Zimmerle, (2003), “Inequality between genders in the executive suite in corporate America: moral and ethical issues”, Equal Opportunities International, Vol. 22 Iss: 2, pp. 40 - 58.

The introduction of “should cost” in 2011 required all Major Defense Acquisition Programs (MDAP) to create efficiencies and improvements to reduce a program’s “will-cost” estimate. Realistic “will-cost” estimates are a necessary condition for the “should cost” analysis to be effectively implemented. Owing to the inherent difficulties in establishing a program’s will-cost estimate, this paper aims to propose a new model to infuse realism into this estimate.

Using historical data from 73 Departments of Defense programs as recorded in the selected acquisition reports (SARs), the analysis uses mixed stepwise regression to predict a program’s cost from Milestone B (MS B) to initial operational capability (IOC).

The presented model explains 83 per cent of the variation in the program acquisition cost. Significant predictor variables include: projected duration (months from MS B to IOC); the amount of research development test and evaluation (RDT&E) funding spent at the start of MS B; whether the program is considered a fixed-wing aircraft; whether a program is considered an electronic system program; whether a program is considered ACAT I at MS B; and the program size relative to the total program’s projected acquisition costs at MS B.

The model supports the “will-cost and should-cost” requirement levied in 2011 by providing an objective and defensible cost for what a program should actually cost based on what has been achieved in the past. A quality will-cost estimate provides a starting point for program managers to examine processes and find efficiencies that lead to reduced program costs.

There appears to be no empirical-based method in the literature for estimating if an engineering change proposal (ECP) will occur or the dollar amount incurred. This paper aims to present an empirically based approach to address this shortfall.

Using the cost assessment data enterprise database, 533 contracts were randomly selected via a stratified sampling plan to build two regression models: one to predict the likelihood of a contract experiencing an ECP and the other to determine the expected median per cent increase in baseline contract cost if an ECP was likely. Both models adopted a stepwise approach. A validation set was placed aside prior to any model building.

Not every contract incurs an ECP; approximately 80 per cent of the contracts in the database did not have an ECP. The likelihood of an ECP and the additional amount incurred appears to be statistically independent of acquisition phase, branch of service, commodity, contract type or any other factor except for the basic contract amount and the number of contract line item numbers; both of these later variables equally affected the contract percentage increase because of an ECP. The combined model overall bested current anecdotal approaches to ECP withhold.

This paper both serves as a published reference point for ECP withholds in the archival forum and presents an empirically based method for determining per cent ECP withhold to use.

Scholars have begun calling for broader conceptualisations of moral disengagement processes that reflect the interaction of dispositional and situational antecedents to a predilection to morally disengage. The authors argue that collective leadership may be one such contingent antecedent. While researching leaders from the Gilded Age of American business history, the authors encountered a compelling historical case that facilitates theory elaboration within these intersecting domains. Interpreting evidence from the embittered leader dyad of Andrew Carnegie and Henry Clay Frick, the authors show how leader egoism can permeate moral identity to promote symbolic moral self-regard and moral licensing, which augment a propensity to morally disengage. The authors use insights developed from our analysis to illustrate a process conceptualisation that reflects a dispositional and situational interaction as a precursor to moral disengagement and explains how collective leadership can function as a moral disengagement trigger/tool to reduce cognitive dissonance and support the cognitive, behavioural, and rhetorical processes utilised to justify unethical behaviour.

Based on previous literature on big data analytics (BDA) and supply chain (SC) management, the purpose of this paper is to address the factors determining firms’ intention to adopt BDA in their daily operations. Specifically, this study classifies potential factors into four categories: technological, organizational, environmental factors, and SC characteristics.

Drawing on the innovation diffusion theory, a model consisted of direct technological and organizational factors as well as moderators was proposed. Subsequently, survey data was collected from 210 organizations. Then we used SPSS and SmartPLS to analyze the collected data.

The empirical results revealed that perceived benefits and top management support can significantly influence the adoption intention. And environmental factors, such as competitors’ adoption, government policy, and SC connectivity, can significantly moderate the direct relationships between driving factors and the adoption intention.

Given the fact that big data (BD) usage in logistics and SC management is still in the start-up stage, the interpretations toward BDA might vary from different perspectives, thus causing some ambiguity in understanding the meaning and potential BD has. In addition, we collected data through questionnaires completed by IT managers, whose viewpoint may not fully represent that of an organization.

This paper tests the organizational adoption intention of BDA and extends the literature streams of BD and SC management simultaneously.

This research helps top managers assess the benefits of BDA as well as how to adjust their business strategy along the changes of environment and SC maturity.

This paper contributes to the literature of organizational adoption intention of BDA and extends the literature streams of BD and SC management simultaneously.

The present paper reports on the development of SITE EXPERT: a prototype knowledge‐based expert system. It is an advisory system. SITE EXPERT is intended to be used for productivity improvement in construction and provides advice on: (1) the productivity of three basic operations of construction, i.e. pouring and placing of concrete, erection and removal of formwork, and fixing reinforcement; and (2) human resources and site layout as productivity factors. The system uses information from construction experts, text books, data recorded at construction sites and the engineer's own knowledge, as well as knowledge obtained by running simulation models. In the present paper, the development, operation and evaluation of the prototype system is described. The results of this prototype system development demonstrate that artificial intelligence methodologies provide powerful facilities for capturing information about construction processes and advising the practitioners of construction on productivity improvement within a computer format close to human reasoning.

While supply chain scholars concur on the need to integrate supply chain finance (SCF) processes to meet ever-changing customer demands, it is unclear how SCF influences business performance in the presence of perceived opportunistic behavior. Therefore, the study aims to investigate the moderating role of perceived partner opportunism in the supply chain.

Drawing on the dynamic capability theory (DCT), this study investigates how perceived supply chain partner opportunism moderates the mediating role of supply- and demand-oriented performances on the link between SCF and business performance, from the retail industry perspective. Data was collected from Australian retailing firms. In all, 293 completed surveys were received. Moderated mediation analysis was conducted.

The results of this study indicate that supply- and demand-oriented performances serially mediate the relationship between SCF and business performance. The study also found that the effect of SCF on performance was higher when perceived partner opportunism was lower.

To respond to changes in consumer preferences and demand effectively, supply chain and marketing managers need to understand the complex interaction between supply- and demand-oriented performances and the key role of SCF in developing such capabilities.

The current study theorizes and demonstrates the effects of supply- and demand-oriented performances that can facilitate the effects of SCF on business performance. Also, the study reveals the effect of each dimension of SCF (accounts payable, accounts receivable and inventory finance) on supply- and demand-oriented performances. Additionally, the study shows the key role of perceived partner opportunism in supply chain management.

The current study examines the strategies that nonbinary people use to communicate their gender identities across contexts, including an exploration of how they modify their gender presentations in response to situations perceived as risky or unsafe. Data were drawn from interviews with 19 nonbinary people, and a modified grounded theory approach was used to identify prevalent or recurring elements in the data. Nonbinary people struggled to communicate their genders to others and felt constrained by the knowledge that others would inevitably interpret their gender presentations within the context of a strict binary. Moreover, they often felt pressure to enact normative, binary presentations in order to feel safer or less visibly gender-nonconforming, particularly in contexts in which social norms were experienced as heightened, such as when engaging with institutions or navigating public spaces such as restrooms or transit systems. This study contributes to the limited literature on nonbinary identities and highlights how dominant transnormative narratives constrain presentation and communication.

The purpose of this paper is to present a comprehensive IT tools based methodology (CITM) for BPR projects in order to facilitate implementing BPR project by considering relevant IT tools in each phase of the methodology, both approaches (clean slate and analysis of existing processes on details), and failure analysis for diminishing the risk of the BPR project.

In today's world, corporations need to adjust with the environment changes in order to stay stable in facing market changes. This paper presents a comprehensive methodology in which by considering different aspects for implementing BPR project including IT tools, both BPR approaches, and failure analysis can facilitate BPR project. The proposed methodology's validation was tested by getting the 50 experts' ideas in each phase of the methodology and in a case study at organization and planning department in an IT company.

The structured methodology developed in this paper contain the two debatable approaches of BPR (clean slate approach as well as analysis of existing processes on details approach). This methodology enables the organization to derive a proper way to implement BPR project in order to its situation. In every phase of this methodology, based on their applications in each specific phase, required softwares and IT tools are proposed. The applicability of methodology was analyzed and confirmed thoroughly by the 50 BPR experts and in a case study at an IT company.

This study provides a comprehensive methodology to consider the gap of the BPR methodologies in their comprehensiveness, use IT tools and softwares and lower the risk of the BPR implementation. In developing the CITM the challenging approaches are considered, the related softwares and IT tools are proposed and failure analysis is done and considered in each phase of the CITM in order to decrease the risk of its implementation.