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This paper aims to evaluate the robustness of the listing effect in Australia, that is whether acquisitions of private firms create more value to the bidding firm’s shareholders than acquisitions of publicly listed firms.

The authors analyze the market reaction to the announcement of takeover bids initiated by Australian public firms on private and public targets over the period 1990-2011. The analysis controls for a wide range of bidder, deal and target country characteristics that are likely to correlate with the target’s listing status and acquirer abnormal returns. The authors also use a selection model to address the endogenous choice of the target’s listing status.

The results indicate that bidders experience significantly higher abnormal returns of about 1.7 per cent in the 11-day event window when the target is a private firm. The authors show that this result is broad-based and persistent. It does not appear to depend on whether the target is small or large; whether it is related or unrelated to the bidder’s industry; whether it is in the resources sector; and whether the transaction is domestic or cross-border. They find some evidence that bidder returns might be stronger for larger acquisitions, for unrelated targets, and in poor market conditions such as in the wake of the recent global financial crisis.

The research would benefit from the inclusion of the bidding firm’s ownership and governance characteristics.

The results support the view that market frictions contribute to make private firms attractive targets.

The analysis confirms the pervasiveness of the listing effect in a market characterized by a lesser degree of competition, higher search costs and the significance of the natural resources sector.

This study aims to investigate magnetohydrodynamic (MHD) conjugate pure mixed convection considering interior heat production and resistive heating inside a square closed/open cavity featuring a rotating cylinder for aiding (clockwise) and opposing (counterclockwise) flow configurations. Moreover, the impacts of altering cylinder size and conductivity on the system’s overall performance to determine optimum conditions are examined in this investigation.

The closed chamber is differentially heated by keeping high and low temperatures at the vertical boundaries. In contrast, the open cavity has a heated left wall and an open right boundary. The Galerkin finite element method is used to solve the Navier–Stokes and the thermal energy equations, which construct the present study’s mathematical framework. Numerical simulations are conducted for the specified ranges of several controlling parameters: Reynolds (31.62 ≤ Re ≤ 1000), Grashof (10³ ≤ Gr ≤ 10⁶) and Hartmann numbers (0 ≤ Ha ≤ 31.62), and volumetric heat generation coefficient (Δ = 0, 3).

When Gr, Re and Ha simultaneously increase, the average Nusselt number along the warmed boundary rises accordingly. Conversely, interior heat production lowers heat transmission within the computational domain, which is also monitored regarding mean fluid temperature, overall entropy production and thermal performance criterion. Finally, the open cavity confirms better thermal performance than the closed cavity.

Comprehending the impacts of the magnetic field, Joule heating, internal heat generation and enclosed or open boundary on pure MHD combined free-forced convective flow offers valuable understandings of temperature fluctuations, velocity propagations, heat transport and irretrievable energy loss in numerous engineering applications.

The purpose of this paper is to investigate the effect of operating leverage, and the subsequent abandonment option available to managers, on the relationship between corporate earnings and optimal financial leverage, thereby providing an alternative (rational) explanation for the observed negative relationship between these two quantities.

Working in a dynamic capital structure setting, where corporate earnings are modelled as an exogenous stochastic process, the paper explicitly adds fixed operating costs to the firm's value optimisation. This introduces a degree of operating leverage (DOL) and a non-zero value to the implicit abandonment option of the firm's manager. Solving for the firm's optimal timing and financing decisions the paper is able to derive the relationship between current corporate earnings and optimal financial leverage for a large class of earnings uncertainty assumptions. The theoretical implications are then tested empirically using a large selection of S&P 500 firms.

The analysis reveals that the manager's flexibility to abandon the project introduces nonlinearities into the valuation that are sufficient to reconcile the trade-off theory with the empirically observed negative earnings/financial leverage relationship. The paper further finds theoretical and empirical evidence of a positive relationship between operating and financial leverage.

Previous studies have used mean-reverting earnings as an explanation for the observed negative earnings/financial leverage relationship in a trade-off theory setting. The paper shows that the relationship does not need to be process specific. Instead, it is a direct result of the financial flexibility of managers.

The purpose of this paper is to identify the implications of managerial herding for investors’ wealth and capital allocation across funds, and the critical role played by fund governance in monitoring herding incentives.

The author adopt the fund herding measure first proposed by Grinblatt et al. (1995) over the long sample period 1992-2007. Univariate and multivariate tests are then constructed to examine the relationship between managerial herding, performance, and investors’ sensitivities. OLS, fixed-effect panel data models are utilized to conduct the tests.

The author show that managers that do not herd have above-average managerial skills, trade less on noise, and significantly outperform herding managers. The author also illustrate that although fund herding could be used as a signal of managerial quality, underperforming herding funds manage to survive in equilibrium, indicating that investor flows do not adequately respond to the information content of a persistent herding behavior. Finally, the author demonstrate that better governance in the form of stronger managerial incentive schemes constitutes a significant deterrent against detrimental herding strategies, representing an effective monitoring device of the response of fund managers to poor flow-performance sensitivity.

The paper provides original evidence on the efficacy of external and internal governance in deterring wealth-reducing herding strategies. The author document that where more effective managerial incentives schemes are put in place by the management companies, fund managers are more likely to be better informed, resulting in fewer incentives to mimic the trading decisions of their peers.

Mentoring is an intense relationship between a senior experienced individual who is the mentor and a less experienced individual who is the protégé. Mentors provide counselling, guidance, advice, support and feedback for the protégé's personal and professional development. With the well-being of the family as the central issue in family firms, mentoring is often seen to be akin to a parent–child relationship. In Bangladesh, paternalistic and informal parental mentoring is the norm for grooming children both morally and professionally. Using six caselets of large family firms of Bangladesh, this chapter provides insight into the paternalistic style of mentoring, and also the generational differences in mentoring between the firm's owner and his successor.

The objective of this systematic literature review (SLR) is to explore the current state of research in the field of household finance (HF). This study aims to summarize the existing research to highlight the importance of household finance in a nation’s economy. By exploring all conceptual and applied implications of HF, this study projects directions for future research to develop a comprehensive understanding of the subject.

This SLR is based on 112 articles published in peer-reviewed journals between 2006 and 2020 (Table 3). The methodology comprises five steps, namely, formulation of research questions, identification of studies, their selection and evaluation, analyses and syntheses and presentation of results.

The findings of this study show that studies on HF are gradually increasing worldwide with the USA registering the highest number of published research on the topic during the period under scrutiny. Notwithstanding the increasing attention and research on HF, empirical research in emerging economies is lagging. Additionally, this study finds that HF structure presents a perfect setting to understand how households compose their financial portfolio, make financial decisions and what factors influence their decisions.

This study is an SLR – an accurate and accepted method of reviewing available literature on a selected subject. However, the selection of inclusion and exclusion criteria depends on the researchers’ rationale which might lead to research bias. This should be considered an inherent limitation of SLR.

By synthesizing the contents of extant literature, this study presents important insights into HF. This study underlines the most discussed topics in the domain and identifies potential investigation areas. This study gives the knowledge of leading articles, authors and journals and informs scholars and academicians about the areas that need further investigation by portraying the complete picture of the subject in a systematic manner. Further, this study highlights that households make suboptimal financial decisions that affect their financial well-being. To reduce the adverse impacts of these decisions, policymakers and financial institutions must take steps to improve households’ use of formal financial markets. Household decisions can be reformed by enhancing consumers’ knowledge about financial products and services. Furthermore, households can be served better by offering customization in traditional financial products.

This study synthesizes the main findings of selected literature on HF. The expansion of studies on HF has generated the need to review the existing literature in a systematic manner. To the researchers’ best knowledge, this SLR is the first thorough study of available articles in the HF domain. This study presents the scope of future research by highlighting numerous aspects and functions of HF.

Micro, small, and medium enterprises (MSMEs) can play a significant role in achieving sustainable development goals (SDGs) as they have the ability to reduce unemployment. Digitalization helps MSMEs in a number of ways, including lowering transaction costs, quickening access to information, and bettering communication with extended supply chain members. This chapter aims to understand the level of digitalization in MSMEs in an emerging economy such as Bangladesh. MSMEs in Bangladesh account for 25% of the gross domestic product and employ 87% of civilians. This chapter builds on qualitative data from 60 MSMEs from various manufacturing and service sectors such as textile, retail, food delivery, IT companies, etc. The interviews were semi-structured and followed an interview protocol. The length of interviews varied between 40 and 50 minutes. Content analysis was used to analyze the data. Findings suggest that counterintuitively the level of digitization in MSMEs is not low in Bangladesh. Many micro and small enterprises use MS Excel to help them manage customer and product data. Medium Enterprises use Enterprise Resource Planning (ERP) software for planning enterprise-wide resources. Some medium enterprises also use powerful data analytics software such as Oracle, Power BI, Google Analytics, Python, and SPSS. Results also reveal barriers to digitization in MSMEs, which include a lack of employee awareness, training, and motivation of top management. This chapter maps the digitalization levels in MSMEs in Bangladesh and provides implications for SGDs. The chapter also presents policy recommendations for improving the digitalization level in emerging economies.

The purpose of this paper is to define the “fast evolving industry” (FEI) and its supply chain management (SCM) challenges. The authors review and structure the literature regarding integration strategies and implementation methods to develop a strategic decision-making framework for SCM in the FEI.

The authors conduct a review of SCM literature, including supply chain strategy, supply chain integration (SCI), agile and responsive supply chain and SCM for innovative and fast-changing industries. The authors develop a conceptual model and a decision-making framework and use four mini cases to provide support for the model and framework.

The FEI, characterised by a high level of innovation and differentiation, short products/services lifecycle and high variety, is yet to be fully defined. Inherent uncertainty in FEI supply systems makes SCM in these industries a complex but strategic task for their managers. The framework and the model offered in this study, which employ a core competency concept and provide risk management strategies, offer a strategic tool for managers and scholars in the field to optimise their integration strategies and to operationalise integration decisions.

Little research has been published on transferable and cross-industrial SCM in FEIs. This paper defines the FEI and its resource-related concerns and then offers a conceptual model and a strategic decision-making framework for SCI in FEIs.

Environmental pollution has been a great concern for the government of Bangladesh. Bangladesh was the least developed country, with a lot of financial challenges. The industrial process in Bangladesh has not been able to maintain the directives of the SDGs. The lack of proper industrial policy, technological backwardness and lacunae in implementing environmental governance have affected the environment of the country. The unorganised and informal manufacturing units are often accused of emitting greenhouse gases. Like other South Asian countries, the informal manufacturing sector in Bangladesh has been established without proper planning and environmental guidelines. In Bangladesh, the informal sector includes brick kilns, food processing factories, leather tanning, etc., which are responsible for environmental pollution, health hazards and violations of SDG goals. The issue of environmental pollution by the informal manufacturing sectors of Bangladesh needs to be investigated in the context of the socioeconomic profile of the country and the performance of the government in monitoring the issue. Due to the lack of environmental governance, a high level of pollution has been occurring in the country. What kinds of economic tools and industrial policies are needed to be implemented to avoid environmental hazards? The content analysis method will be applied in this chapter.

The success of any organization in a knowledge-based economy depends on effective knowledge transferring and then proper use of the transferred knowledge. As is known, optimizing the knowledge transferring costs in a product portfolio plays an important role in improving productivity, competitive advantage and profitability of any organization. Therefore, this paper aims to determine an optimal product portfolio by minimizing the konlwedge transferring costs.

Here, a fuzzy binary linear programming model is used to select an optimal product portfolio. The model is capable of considering the knowledge transferring costs while taking into account the human-hours constraints for each product by a fuzzy approach. Using fuzzy ranking functions, a reasonable solution of the model can be achieved by classical or metaheuristic algorithms.

Numerical experiments indicate that the proposed fuzzy model is practically effective.

The contributions of this work essentially consist of considering knowledge transferring costs in selecting an optimal product portfolio and using the fuzzy data which make the model more realistic.