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Purpose: To consider the extent to which the legal recognition of non-binary gender has the potential to disrupt the gender binary.

Methodology/Approach: This chapter will employ case study as method, focusing on recent changes to Australian law and policy, which introduce a third gender category. I rely on the work of queer theorists on normativity and recognition as a theoretical framework and on the work of social scientists on transgender people as evidence.

Findings: This chapter finds that while there is much to be celebrated about increasing alternatives to the dominant categories of male and female, the legal recognition of non-binary gender may in fact serve to conceptually purge the dominant gender categories of non-conforming elements while simultaneously masking the ways in which institutions of regulatory power continue to demand conformity with normative standards of gender.

Research Limitations: Since few non-binary individuals in Australia have adopted the X marker the implications laid out in this paper are speculative. The experiences of non-binary individuals present an important avenue for further research.

Practical Implications: I recommend, as an alternative to further gender classifications, that we should seek to minimize the degree to which membership of a particular gender category is used to distribute rights and privileges.

Originality/Value of Paper: This chapter advances the literature on non-binary gender, contributes to existing queer and feminist analyses of the gender binary and extends work on normativity to legal recognition of alternative genders.

This paper aims to provide a historical case study of strategic changes in accounting at an Australian university’s business school department during 1972-1992 when it was repositioning itself in the early stages of major changes in the Australian and international tertiary accounting education environment. The study is conducted within the context of the university history within which the department operated as well as major government policy and global education shifts shaping university structures and focus.

This study offers a historical analysis of early stage changes in university focus at the business school’s accounting department, developed through departmental and university reports and oral history interviews. A narrative analytical methodology is adopted to portray a history of an academic accounting department in transition.

This case study illuminates the impacts of and responses to the beginning of marketisation and globalisation of higher education, and the commercialisation of universities and explains the strategic implementation processes in one university’s business school departmental during a period of significant formative change in the Australian accounting education landscape.

This study deepens our understanding of environmental, structural, educational and research changes at the operational departmental level of academic institutions, paying particular attention to the organisational culture and human capital dimensions.

In this chapter, educational philosopher Michael Peters discusses the emergence of new movements in thought and educational research practice in an “epoch of digital reason” that encompass the posthuman and decentered intimate scholarship. Peters describes changes that have occurred at the juncture of philosophy, culture, and science, probing the notion of a “coming after” of postmodernism in a post-truth era that has seen a rise in reactionary, anti-intellectual, anti-immigrant reaction across the Western world. Peters provides insight regarding this collection of changes in thinking, to which the decentering of subjectivity is critical, and even, as he suggests, one of the foundations of modern philosophy after Descartes. This shift in thinking across disciplines entails a turn to systems and ecological thinking; an understanding of consciousness as situated, distributed, and enacted; and a view of the world as constituted by productive difference. Other changes include connecting affect and cultural dimensions to research, which is expanding our view of science and what shapes science. Peters notes that these shifts turn us to new questions about rethinking concepts that are grounded in the liberal, intentional notion of the subject, such as agency and responsibility for one’s actions. As we engage in this rethinking, Peters suggests that we learn from indigenous studies, as indigenous peoples have been putting to work different forms of posthumanism for millennia.

Addressing the challenges expressed by organization researchers and Leslie McCall with her conceptual framework of intercategorical analysis, this paper contributes to the methodological debate on intersectionality. The purpose of this paper is to explore intersectionality on the organizational level in the Finnish defence forces (FDF). In the paper, the authors explore how the interactions between categories of gender, age, and position in the organization explain the concerns of employees in the changing military organization. Furthermore, the authors also investigate the types of intersectional mechanisms behind the empirical observations.

The logistic regression analysis is based on a survey addressed to the whole salaried personnel in the FDF in 2011 (n=8,093, response rate being 54 per cent).

In line with McCall’s (2005) intercategorical approach, the analysis shows that the plain examination of main effects of the variables will not suffice, but the interaction effects of the variables must also be examined. The analysis indicates that even though women in general experienced more concerns, gender does not alone explain the concerns expressed by the members of the FDF, but age and especially personnel group are significant in understanding configurations of positions in relation to the organizational change process.

The methodological limitation of the study is that although the data were large, it was not possible to conduct three-ways analysis, because of the size of some groups.

The study offers a noteworthy addition to the rare research of practising intersectionality in the conceptual framework using quantitative methods.

Strong agreement in the extant business literature emphasizes that digital developments are key to economic growth internationally. This is in spite of the recorded high levels (up to 50 percent) of failure among digital companies and entrepreneurs. The purpose of this paper is to identify the digital debates in Italy, explore current policies and develop a typology that characterizes digital entrepreneurs (DEs) and their start-up companies in Italy.

The digital debates and policies are explored through an extensive telephone survey of the self-perceptions and identified supports required by 348 Italian active DEs. Quantitative statistical techniques were used including factor analysis, cluster analysis and ANOVA, to identify motivations, profiles and critical success factors relevant to the sample.

The study identifies three main clusters among the DEs: emerging very young; emerging business focused and experienced. These clusters vary with the entrepreneurs’ background and competence base, motivation and satisfaction factors. The different kinds of profiles require specific kinds of supporting policies identified by the sample that focus on financial, educational and/or networking provision.

The paper affirms the central role of digital entities in modern economies expressed in the current literature and increases knowledge of the perceived success factors identified by DEs. The identification and classification of self-reported characteristics of Italian DEs and to what extent these characterizations might be useful for tailored interventions to support their success are the main contributions of this study. Accordingly, an authentic, original and self-reported portrayal has been constructed of the self-perceptions of Italian DEs. Finally, the study explores the implications for actions and new policies considering self-perceived profiles, needs and expectations of DEs.

The purpose of this study is to explore the effect and mechanism of the digital economy’s influence on the binary margin of agricultural exports.

Based on the theoretical analysis of the mechanism of the digital economy’s influence on the binary margin of agricultural exports, this study empirically examines the effect and mechanism of the digital economy’s influence on the binary margin of agricultural exports based on China’s customs export data from 2011 to 2016.

The relevant findings are threefold. (1) The digital economy significantly improves the binary margin of agricultural exports, and its effect on the intensive margin is stronger than that on the expansive margin. After the expansive margin is subdivided, the effects on the three sub-variables of the expansive margin are in the following order: old products exported to new markets > new products exported to old markets > new products exported to new markets. (2) The heterogeneity analysis reveals that the digital economy has a stronger role in promoting the binary margin of exports for enterprises in the eastern region, high-income countries as the destination of exports and state-owned enterprises. (3) Mechanism analysis shows that the digital economy promotes the binary margin of agricultural exports by reducing trade costs and intensifying market competition.

First, in terms of research perspective, although there are some studies on the impact of the digital economy on export trade in existing literature, the research objects mainly focus on manufacturing enterprises. In fact, agricultural trade is susceptible to natural conditions and seasonal factors, and countries may impose more SPS measures and TBT measures on agricultural trade due to risk considerations. The relationship between the digital economy and agricultural trade also has its own characteristics, but there are few research studies in this area. At present, only Liu and Gao (2022), based on the data of total imports and exports of different agricultural products from 2004 to 2018, have established a vector auto-regressive model to empirically analyse the heterogeneous dynamic impact of the digital economy on the trade volume of agricultural products. In addition, Ma and Guo (2023) conducted an empirical test on the total effect, regional heterogeneity and threshold effect of the digital economy on agricultural export trade based on China’s provincial panel data from 2011 to 2020. Therefore, under the new circumstances of continuous integration of digital technology and agriculture, this study interprets the impact effect and mechanism of the digital economy on the binary margin of agricultural exports from the perspective of the digital economy, providing new research perspectives and approaches for promoting the growth of agricultural exports. Second, in terms of theoretical analysis, the above studies have not been fully analysed in terms of the specific mechanism of the impact of the digital economy on agricultural exports. Based on the positive and negative characteristics of agricultural trade, this study introduces two kinds of roles into the theoretical analysis framework to comprehensively determine the trade impact effect of the digital economy. Third, in terms of research design, this study empirically examines the impact of the digital economy on the binary margin of agricultural products, passing a series of robustness tests and investigating the mediating roles of trade cost and market competition effects, producing an empirical basis for China to leverage the digital economy to promote the binary margin of agricultural exports.

In the early days of the COVID-19 pandemic, an area could only report its first positive cases if the infection had spread into the area and if the infection was subsequently detected. A standard probit model does not correctly account for these two distinct latent processes but assumes there is a single underlying process for an observed outcome. A similar issue confounds research on other binary outcomes such as corporate wrongdoing, acquisitions, hiring, and new venture establishments. The bivariate probit model enables empirical analysis of two distinct latent binary processes that jointly produce a single observed binary outcome. One common challenge of applying the bivariate probit model is that it may not converge, especially with smaller sample sizes. We use Monte Carlo simulations to give guidance on the sample characteristics needed to accurately estimate a bivariate probit model. We then demonstrate the use of the bivariate probit to model infection and detection as two distinct processes behind county-level COVID-19 reports in the United States. Finally, we discuss several organizational outcomes that strategy scholars might analyze using the bivariate probit model in future research.

The purpose of this paper is to investigate the decomposition behavior of binary mixtures of organic activators commonly used in the no-clean wave flux systems upon their exposure to thermal treatments simulating wave soldering temperatures. The binary blends of activators were studied at varying ratios between the components.

Differential scanning calorimetry and thermogravimetric analysis were used to study the characteristics of weak organic acid (WOA) mixtures degradation as a function of temperature. The amount of residue left on the surface after the heat treatments was estimated by gravimetric measurements as a function of binary mixture type, temperature and exposure time. Ion chromatography analysis was used for understanding the relative difference between decomposition of activators in binary blends. The aggressivity of the left residue was assessed using the acidity indication gel test, and effect on reliability was investigated by DC leakage current measurement performed under varying humidity and potential bias conditions.

The results show that the typical range of temperatures experienced by electronics during the wave soldering process is not sufficient for the removal of significant activator amounts. If the residues contain binary mixture of WOAs, the final ratio between the components, the residue level and the corrosive effects depend on the relative decomposition behavior of individual components. Among the WOA investigated under the conventional wave soldering temperature, the evaporation and removal of succinic acid is more dominant compared to adipic and glutaric acids.

The findings are attributed to the chemistry of WOAs typically used as flux activators for wave soldering purposes. The results show the importance of controlling the WOA content and ratio between activating components in a flux formulation in relation to its tendencies for evaporation during soldering and the impact of its residues on electronics reliability.

The results show that the significant levels of flux residues can only be removed at significantly higher temperatures and longer exposure times compared to the conventional temperature range used for the wave soldering process. The potential corrosion issues related to insufficient flux residues removal will be determined by the residue amount, its composition and ratio between organic components. The proper time of thermal treatment and careful choice of fluxing formulation could ensure more climatically reliable product.

The use of power sectionalizers in electric power distribution networks as disconnecting devices for optimum network configuration is indispensable. Major reasons to use sectionalizers, here manual sectionalizers, is their lower installation and operating prices compared to other types of disconnecting devices and that most of conventional realistic electric power distribution systems are still using manual sectionalizers due to their ease of procurement. However, in case of failure for these switches, power supply interruptions are unavoidable unless optimum solutions are used for configuration (and possibly reconfiguration) of sectionalizers. Thus, in this research, binary exchange market algorithm (BEMA) as a novel evolutionary metaheuristic is used to meet the maximized customer satisfaction by optimized configuration of sectionalizers within electric power distribution networks in the presence of distributed generations (DGs). To solve the problem, BEMA is used on sectionalizing switch placement problem, which has only two open and close (0/1) states. A novel multi-objective optimization problem has been formulated as a function of two aspects, namely, improved reliability index (for customer benefit) and minimized sectionalizing switch costs (for utility benefits). Simulations are carried out in three different case studies to validate the effectiveness of the BEMA both in theory and practice: Standard IEEE 33-bus test system, practical feeder-8 of MeshkinShahr Town’s electric power distribution network in northwest of Iran; and Roy Billinton test system Bus 4 (RBTS-Bus 4). The obtained results are compared with those of the previously validated ant colony optimization (ACO) technique in RBTS-Bus 4.

The optimum configuration of sectionalizers in the presence of DGs has been formulated as a multi-objective function consisting of two conflicting objectives. First objective is to improve the power distribution network reliability indices. Second objective is to fulfill the first objective with a minimized sectionalizing switch cost. The latter is probably obtained by reducing the number of installed sectionalizers. The obtained results by BEMA have been compared with those of ACO technique.

In this paper, optimal configuration of sectionalizers has been performed based on a multiobjective function by binary exchange market algorithm. By simulations carried out on two standards and one practical test systems, the proposed algorithm effectiveness was confirmed and the obtained results were compared to ACO algorithm. Changing weighting factors shows that better satisfaction can be obtained when difference between the weighting factors is relatively greater. In other words, the reliability membership function is more than switch cost membership, and thus, if the values of two weighting factors are close enough, the satisfaction level reduces. The number of installed sectionalizing switches by BEMA and ACO techniques in different scenarios were performed.

Proposal of a novel multi-objective function for finding optimal location of sectionalizers in the presence of DGs with binary exchange market algorithm whose merit over the other heuristics is to consider all the problem specifications only in one multi-objective function. Despite previously reported works that have used various high-priced protective devices for achieving the enhanced reliability this research only utilizes inexpensive manual sectionalizers with the least possible cost in the presence of DGs. Two standard test cases IEEE 33-bus test system and RBTS-Bus 4 and one realistic test case feeder-8 of MeshkinShahr Town power distribution network in northwest of Iran are used to demonstrate the effectiveness of the proposed technique in theory and real-world applications. Thus, utilities may take the advantage of the proposed method for configuration of sectionalizers in their own local power distribution systems throughout the country.

The present study aims to gauge the experience of gender non-binary (NB) employees in the context of employee value propositions (EVP) in Indian enterprises and make suggestions for organizations to align their gender-aligned interventions with the EVP framework.

Qualitative methodology was used for collecting data through semi-structured interviews and subsequent analysis of the transcripts. The data was gathered from 10 NB participants working in Indian enterprises with the use of non-probabilistic purposive snowball sampling.

The analysis revealed eight themes representing the good, bad and ugly experiences of NB individuals within the context of EVP. These findings underscore the potential of enriching value propositions for employees to promote gender inclusion in corporate settings, contributing to long-term organizational success.

The study offers both theoretical and practical implications for fostering inclusivity at the workplace. It suggests that policymakers and organizations should align EVP with diversity and inclusion initiatives, re-evaluate hiring processes and promotion policies to ensure equal opportunities for NB individuals, provide regular staff training to address biases and implement inclusive insurance policies and representation in employee resource groups (ERGs).

This study provides unique insights into the experiences of NB employees within the framework of EVPs in Indian organizations.