Public interest, ethics, and the balanced scorecard: implications for the accounting profession

The accounting profession bos been grappling with the issue of public interest responsibility for a number of years. The aim of this paper is to examine how a balanced scorecard (BSC) model can be used by the accounting profession to more effectively incorporate a public interest responsibility in its strategic framework. By using a BSC model, the paper provides an integrated framework for translating strategic values into a comprehensive set of objectives, performance measures and improvement actions.

Operationalising the balanced scorecard : an initial analysis of factor structure

To date there has been very little empirical analysis of the Balanced Scorecard (BSC) within the marketing literature. With measuring performance being a central issue in marketing and the BSC being one of the most utilised approaches, this paper investigates the BSC and its factor structure. This research tested independently the “goodness-of-fit” of both the traditional four-factor model and a later five-factor model, which included an “employee/human resource” dimension. Data were collected from a sample of medium-tolarge Australian businesses. Factor analysis was conducted on the two alternative factor structures, revealing that the five-factor model fits the observed data as well as does the fourfactor model, supporting the inclusion of an “employee/human resource” perspective in future BSC models.

Reference functions and balanced concessions in bargaining

In bargaining, agents expect their concessions to be reciprocated. Using the 'reference function' concept of Thomson (1981), this paper constructs a class of solutions the outcomes of which lead to balanced concessions by agents as prescribed by the reference function adopted. The Kalai/Smorodinsky solution arises as a special case. Another solution in this class, which depends on the entire feasible set, is generated by using the centre of gravity as the reference function.

Balanced efficacy, safety, and tolerability recommendations for the clinical management of bipolar disorder

Objective:  To provide practical and clinically meaningful treatment recommendations that amalgamate clinical experience and research findings for each phase of bipolar disorder.

Methods:  A comprehensive search of the literature was undertaken using electronic database search engines (Medline, PubMed, Cochrane reviews) using key words (e.g., bipolar depression, mania, treatment). All relevant randomised controlled trials were examined, along with review papers, meta-analyses, and book chapters known to the authors. In addition, the recommendations from accompanying papers in this supplement have been distilled and captured in the form of summary boxes. The findings, in conjunction with the clinical experience of international researchers and clinicians who are practiced in treating mood disorders, formed the basis of the treatment recommendations within this paper.

Results:  Balancing clinical experience with evidence informed and lead to the development of practical clinical recommendations that emphasise the importance of safety and tolerability alongside efficacy in the clinical management of bipolar disorder.

Conclusions:  The current paper summarises the treatment recommendations relating to each phase of bipolar disorder while providing additional, evidence-based, practical insights. Medication-related side effects and monitoring strategies highlight the importance of safety and tolerability considerations, which, along with efficacy information, should be given equal merit.

Balanced-budget consumption taxes and aggregate stability in a small open economy

In a small open economy facing a perfect world capital market, this paper shows that if the government follows a balanced-budget fiscal policy based on endogenous consumption tax rates, then the steady state is saddle-path stable and hence beliefs-driven aggregate instability can be ruled out. This result is in contrast to those obtained in some closed economy models, and it suggests that unrestricted world capital mobility can help stabilize the economy under the balanced-budget fiscal policy based on consumption taxation.

Robot coordination for energy-balanced matching and sequence dispatch of robots to events

Given a set of events and a set of robots, the dispatch problem is to allocate one robot for each event to visit it. In a single round, each robot may be allowed to visit only one event (matching dispatch), or several events in a sequence (sequence dispatch). In a distributed setting, each event is discovered by a sensor and reported to a robot. Here, we present novel algorithms aimed at overcoming the shortcomings of several existing solutions. We propose pairwise distance based matching algorithm (PDM) to eliminate long edges by pairwise exchanges between matching pairs. Our sequence dispatch algorithm (SQD) iteratively finds the closest event-robot pair, includes the event in dispatch schedule of the selected robot and updates its position accordingly. When event-robot distances are multiplied by robot resistance (inverse of the remaining energy), the corresponding energy-balanced variants are obtained. We also present generalizations which handle multiple visits and timing constraints. Our localized algorithm MAD is based on information mesh infrastructure and local auctions within the robot network for obtaining the optimal dispatch schedule for each robot. The simulations conducted confirm the advantages of our algorithms over other existing solutions in terms of average robot-event distance and lifetime.