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Despite major progress made in improving the health and well-being of millions of people, more efforts are needed for investment in 21st century health care. However, public hospital waiting lists continue to grow. At the same time, there has been increased investment in e-health and digital interventions to enhance population health and reduce hospital admissions. The purpose of this study is to highlight the accounting challenges associated with measuring, investing and accounting for value in this setting. The authors argue that this requires more nuanced performance metrics that effect a shift from a technical practice to one that embraces social and moral values.

This research is based on field interviews held with clinicians, accountants and administrators in public hospitals throughout Australia and Europe. The field research and multidisciplinary narratives offer insights and issues relating to value and valuing and managing digital health investment decisions for the post-COVID-19 “value-based health-care” future of accounting in the hospital setting.

The authors find that the complex activity-based hospital funding models operate as a black box, with limited clinician understanding and hybridised accounting expertise for informed social, moral and ethical decision-making. While there is malleability of the health economics-derived activity-based hospital funding models, value contestation and conflict are evident in the operationalisation of these models in practice. Activity-based funding (ABF) mechanisms reward patient throughput volumes in hospitals but at the same time stymie investment in digital health. Although classified as strategic investments, there is a limit to strategic planning.

Accounting in public hospitals has become increasingly visible and contested during the pandemic-driven health-care crisis. Further research is required to examine the hybridising accounting expertise as it is increasingly implicated in the incremental changes to ABF in the emergence of value-based health care and associated digital health investment strategies. Despite operationalising these health economic models in practice, accountants are currently being blamed for dysfunctional health-care decisions. Further education for practicing accountants is required to effect operational change. This includes education on the significant moral and ethical dilemmas that result from accounting for patient mix choices in public hospital service provision.

This research involved a multidisciplinary team from accounting, digital health, information systems, value-based health care and clinical expertise. Unique insights on the move to digital health care are provided. This study contributes to policy development and the limited value-based health-care literature in accounting.

The purpose of this paper is to investigate the expected outcomes, both of positive and negative returns occurred by shariá credit instruments in global Islamic banks. The annual panel data from 2005 to 2012 is collected from 40 Islamic banks from 12 countries and value at risk (VaR) technique is employed in the investigation process. The findings of this study indicate several outcomes: first, majority of Islamic banks use debt-based financing (DBF) and avoid asset-based financing (ABF) due to the lack of secured rate of fixed returns and collateral. Second, the ABF financing shows the positive returns. Third, interestingly, DBF financing faces higher credit risk compared to ABF even DBF secures its financing through tight policy implementation. Finally, this paper comes up with policy recommendations for the further reduction of credit risks and improvement of bankers’ confidence level in implementing the ABF financing policy.

VaR on panel data.

Shariá credit instruments play an important role.

Data findings.

Fully original.

The purpose of this paper is to present and solve the problem of adaptive beamforming (ABF) for a uniform linear array (ULA) as an optimization problem. ABF mainly concerns with estimation of weights of antenna array so as to direct the major lobe in the direction of desired user and nulls in the direction of interfering signals with reduced side lobe level (SLL).

The potential of gravitational search algorithm is explored to optimize multi-objective fitness function for ABF using MATLAB software.

The performance of the algorithm has been compared by considering different number of interference signals at different power levels. The proposed algorithm presents good convergence rate and accurate steering of main lobe and nulls with reduced SLL compared to the well-known ABF technique, namely, minimum variance distortionless response (MVDR) and previously reported results. The simulation results are presented in tabular form.

The present work is limited to simulation. The researchers are encouraged to solve the problem of ABF using the proposed approach in hardware.

The application of proposed algorithm is to optimize multi-objective function for ABF with reduced SLL in linear antenna arrays.

Offers an overview of the well‐established and growing franchising sector in Brazil, which encompasses almost 1,000 brands in 23 different sectors; lists the sectors involved and a number of the major foreign chains operating in the country, together with statistics on numbers of employees, turnover, initial investment by franchisees and payback time. Details the activities of the Brazilian Franchise Association (ABF) which exists to promote franchising in the country and has recently launched a training course for potential franchisees; considers the future prospects for franchising in Brazil.

The purpose of this paper is to present the application of an adaptive bacterial foraging (BF) algorithm for the design optimization of an energy efficient induction motor.

The induction motor design problem is formulated as a mixed integer nonlinear optimization problem. A set of nine independent variables is selected, and to make the machine feasible and practically acceptable, six constraints are imposed on the design. Two different objective functions are considered, namely, the annual active material cost, and the sum of the annual active material cost, annual cost of the active power loss of the motor and annual energy cost required to supply such power loss. A new adaptive BF algorithm is used for solving the optimization problem. A generic penalty function method, which does not require any penalty coefficient, is employed for constraint handling.

The adaptive BF algorithm is validated for two sample motors and benchmarked with the genetic algorithm, particle swarm optimization, simple BF algorithm, and conventional design methods. The results show that the proposed algorithm outperforms the other methods in both the solution quality and convergence rate. The annual cost of the induction motor is remarkably reduced when designed on the basis of minimizing its annual total cost, instead of minimizing its material cost only.

To the best of the knowledge, none of the existing work has applied the BF algorithms for electrical machine design problems. Therefore, the solution to this problem constitutes the main contribution of the paper. According to the huge number of induction motors operating all over the world, the BF techniques used in their design, on minimum annual cost basis, will lead to a tremendous saving in global energy consumption.

The purpose of this paper is to provide an overview of the franchising sector in Brazil and highlight the opportunities and offer strategies for practitioners. It also points out some challenges and gives suggestions to overcome them and thrive in the Brazilian market through the franchising system.

This paper reviews both literature and practical sources providing primary data from interviews conducted with franchising experts from the Brazilian Franchising Association and a consultant company.

International franchisors willing to enter the Brazilian market might face some challenges, such as the language barrier, the complex tax system and the need for local adaptations. Foreign entrants should consider low control entry modes as master franchising and area development agreements, with local partners that know the Brazilian culture, business system and regulations.

Brazil presents a great market potential for international franchisors. It counts with an established franchising system and a stable regulatory environment. This paper provides relevant information about the characteristics, opportunities and challenges to operate in the Brazilian market, offering suggestions of strategies and several possibilities to explore different regions, locations and models across the country.

The purpose of this paper is to explore issues relating to imposing a ban on the importation of asbestos-contaminated building materials (ACBMs) in the Australian context to better understand the multiple accountabilities and consequences.

This study undertakes a qualitative content analysis of the multiple accountabilities and stakeholder expectations using the lens of actor–network theory. This study further explores the weaknesses and complexities associated with implementing a complete ban on asbestos, ensuring that only asbestos-free building materials are imported to Australia. This study uses data collected from 15 semi-structured interviews with stakeholders, responses from the Australian Border Force to a questionnaire and 215 counter accounts from the media, the Australian Government, industry organizations, non-governmental organizations and social group websites during the period from 2003 to 2021.

This study reveals that stakeholders' expectations of zero tolerance for asbestos have not been met. This assertion has been backed by evidence of asbestos contamination in imported building materials throughout recent years. Stakeholders say that the complete prevention of the importation of ACBMs has been delayed because of issues in policy implementations, opaque supply chain activities, lack of transparency and non-adherence to mandatory and self-regulated guidelines.

Stakeholders expect public and private sector organizations to meet their accountabilities through mandatory adoption of the given policy framework.

This research provides a road map to identify the multiple accountabilities, their related weaknesses and the lack of implementation of the necessary protocol, which prevents a critical aspect of legislation from being effectively implemented.

Mesh Parameterization is central to reverse engineering, tool path planning, etc. This work synthesizes parameterizations with un-constrained borders, overall minimum angle plus area distortion. This study aims to present an assessment of the sensitivity of the minimized distortion with respect to weighed area and angle distortions.

A Mesh Parameterization which does not constrain borders is implemented by performing: isometry maps for each triangle to the plane Z = 0; an affine transform within the plane Z = 0 to glue the triangles back together; and a Levenberg–Marquardt minimization algorithm of a nonlinear F penalty function that modifies the parameters of the first two transformations to discourage triangle flips, angle or area distortions. F is a convex weighed combination of area distortion (weight: α with 0 ≤ α ≤ 1) and angle distortion (weight: 1 − α).

The present study parameterization algorithm has linear complexity [𝒪(n), n = number of mesh vertices]. The sensitivity analysis permits a fine-tuning of the weight parameter which achieves overall bijective parameterizations in the studied cases. No theoretical guarantee is given in this manuscript for the bijectivity. This algorithm has equal or superior performance compared with the ABF, LSCM and ARAP algorithms for the Ball, Cow and Gargoyle data sets. Additional correct results of this algorithm alone are presented for the Foot, Fandisk and Sliced-Glove data sets.

The devised free boundary nonlinear Mesh Parameterization method does not require a valid initial parameterization and produces locally bijective parameterizations in all of our tests. A formal sensitivity analysis shows that the resulting parameterization is more stable, i.e. the UV mapping changes very little when the algorithm tries to preserve angles than when it tries to preserve areas. The algorithm presented in this study belongs to the class that parameterizes meshes with holes. This study presents the results of a complexity analysis comparing the present study algorithm with 12 competing ones.

One of the major features of the trade union movement in Sweden is its educational effort. The ideological powerhouse of LO (the TUC) has provided, since the thirties, a wide range of ideas on the place of the trade unions in the economy. Their approach to full employment, centralised wage bargaining and differentials, the improvement of the working environment, wage earners' investment funds, works councils and the recent law on Co‐determination in Decision Making (MBL) was outlined in the April issue. But ideas have to be debated and discussed in a democratic movement. Their translation to deeds requires an informed trade union membership and leaders in the workplaces trained to inform, to persuade and to lead. The means for achieving these objectives have been through centralised and de‐centralised methods of education and training.

In the real world, developed countries are permitted to impose tariffs only on a small range of imports (partial tariff). For this reason, tariff policies have been replaced in many countries by other policy devices such as a competition policy. This study compares a competition policy with a partial tariff policy. It demonstrates that if a country can impose a tariff on only a small part of the imports and at sufficiently low tariff rates, optimal partial tariff policy may not create as large a protective effect as optimal competition policy.