Exploring justice judgment patterns in Asia: a four country multi-group latent class analysis

We explore workers’ justice judgment patterns to understand how they use information to assess fair treatment at work. Justice judgment patterns are the unique set of information that individuals draw upon and use when evaluating the overall fairness of an entity. Data from four samples of workers from Malaysia, Cambodia, the Philippines, and China were analyzed using a multi-group latent class analysis. Results suggest four classes of justice judgment processes, three of which represent different patterns of heuristic processing. Comprehensive processors use a wide range of information when making justice judgments, while minimalist processors consider a limited range of information. Reward-focused processors focus on distributive justice cues and treatment-focused processors specifically attend to interpersonal justice cues while neglecting distributive justice cues. The latent class structure shared conceptual meaning across countries but the patterns had different rates of representation. Findings suggest that individuals do not always use complete information when assessing how fairly they are treated at work. Many appear to use heuristics that emphasize minimizing information processing, instrumental outcomes, or more relational outcomes. Results and implications are discussed.     

Mean-variance optimization using forward-looking return estimates

Despite its theoretical appeal, Markowitz mean-variance portfolio optimization is plagued by practical issues. It is especially difficult to obtain reliable estimates of a stock’s expected return. Recent research has therefore focused on minimum volatility portfolio optimization, which implicitly assumes that expected returns for all assets are equal. We argue that investors are better off using the implied cost of capital based on analysts’ earnings forecasts as a forward-looking return estimate. Correcting for predictable analyst forecast errors, we demonstrate that mean-variance optimized portfolios based on these estimates outperform on both an absolute and a risk-adjusted basis the minimum volatility portfolio as well as naive benchmarks, such as the value-weighted and equally-weighted market portfolio. The results continue to hold when extending the sample to international markets, using different methods for estimating the forward-looking return, including transaction costs, and using different optimization constraints.

     

How (Not) to Foster Innovations in Public Infrastructure Projects*

The government wants an infrastructure‐based public service to be provided. First, the infrastructure has to be built; subsequently, it has to be operated. Should the government bundle the building and operating tasks in a public–private partnership? Or should it choose traditional procurement (i.e., delegate the tasks to different firms)? Each task entails unobservable investments to come up with innovations. It turns out that, depending on the nature of the innovations, bundling can either stimulate or discourage investments. Moreover, we find that if renegotiation cannot be prevented, public–private partnerships might lead the government to deliberately opt for technologically inferior projects.     

Kidnap and ransom insurance: A strategically useful,often undiscussed,marketplace tool for international operations

With kidnaping rates rising, the disruptive forces of kidnaping threaten the stability and success of corporate investment projects and put stress on appropriate corporate governance response methodologies. While kidnaping targets vary considerably among countries where it frequently occurs, most often the goal of kidnapers is money from ransom payments. Financial consequences of a kidnap ransom payment can be severe for companies, and psychological damage can be lasting to employees and their families. Given the increasingly global nature of business and increasing expansion into less politically and legally stable emerging markets, kidnap, ransom, and extortion pose a problem for management of corporations wishing to take advantage of emerging market opportunities. Kidnap and Ransom (K&R) Insurance is a risk control technique used by about 75% of Fortune 500 companies, nongovernmental organizations, and an increasing percentage of small to medium sized companies. It is a bundled package policy that includes the purchase of an insurance policy to indemnify the company for the costs of kidnap, ransom, and extortion. Such policies can also provide protective consulting beforehand, provide crisis response and negotiation assistance, as well as psychological support services after the fact. In this paper, we describe the K&R policy, its history, other nonfinancial corporate benefits provided by K&R policies, and discuss its use by corporate managers for the benefit of corporate, financial, and personnel stability. It can also be used in course on managing international risk.     

‘Howzat’—how do artefacts without matter,matter? The case of decision review systems in professional cricket

It has been argued that the social and material worlds are increasingly entangled as they become mediated by and experienced through virtual representations of live events. Virtual decision review systems in professional sport provide an albeit unusual case study example of such developments where virtual (re‐)representations of events are increasingly used in match play to inform adjudicator decisions concerning ‘what really happened’. This has prompted an ongoing debate in many sports over both the accuracy and appropriateness of these technologies for representing events which are often fast moving and difficult to judge with the human eye. We explore these issues using a sociomaterial practice lens and indicate the broader relevance of the case for basing judgements and decisions on virtual views of reality.     

Thomas Carlyle on the use of numbers in economics

Thomas Carlyle’s criticism of economics goes far beyond his epithet, “Dismal Science.” One aspect of economics that attracted his attention was its use of numbers in both theories and empiricisms. Here is explored his attacks on economist’s use of arithmetic in explaining human behavior, and statistics in addressing the condition of the working class.     

Costs of hospital visits among patients with deep vein thrombosis treated with rivaroxaban and LMWH/warfarin

Background:

For many years, the standard of care for patients diagnosed with deep vein thrombosis (DVT) has been low-molecular-weight heparin (LMWH) bridging to an oral Vitamin-K antagonist (VKA). The availability of new non-VKA oral anticoagulants (NOAC) agents as monotherapy may reduce the likelihood of hospitalization for DVT patients.

Objective:

To compare hospital visit costs of DVT patients treated with rivaroxaban and LMWH/warfarin.

Methods:

A retrospective claim analysis was conducted using the MarketScan Hospital Drug Database for care provided between January 2011 and December 2013. Adult patients using rivaroxaban or LMWH/warfarin with a primary diagnosis of DVT during the first day of a hospital visit were identified (i.e., index hospital visit). Based on propensity-score methods, historical LMWH/warfarin patients (i.e., patients who received LMWH/warfarin before the approval of rivaroxaban) were matched 4:1 to rivaroxaban patients. The hospital-visit cost difference between these groups was evaluated for the index hospital visit, as well as for total hospital-visit costs (i.e., including index and subsequent hospital visit costs).

Results:

All rivaroxaban users (n?=?134) in the database were well-matched with four LMWH/warfarin users (n?=?536). The mean hospital-visit costs were $5257 for the rivaroxaban cohort and $6764 in the matched-cohort of patients using LMWH/warfarin. The $1508 cost difference was statistically significant between cohorts (95% CI?=?[?$2296; ?$580]; p-value?=?0.002). Total hospital-visit costs were lower for rivaroxaban compared to LMWH/warfarin users within 1, 2, 3, and 6 months after index visit (significantly lower within 1 and 3 months, p-values <0.05)

Limitations:

Limitations were inherent to administrative-claims data, completeness of baseline characteristics, adjustments restricted to observational factors, and lastly the sample size of the rivaroxaban cohort.

Conclusion:

The availability of rivaroxaban significantly reduced the costs of hospital visits in patients with DVT treated with rivaroxaban compared to LMWH/warfarin.     

Translating satisfaction determination from health care to the automotive industry

This study is based on the case of BMW, and aims to improve the determination of perceived consumer satisfaction in the automotive industry by transferring existing knowledge from the health care sector. A literature analysis of the health care sector and the automotive industry was conducted to identify the common concepts of determining satisfaction. These were the service encounter, situational factors, and sociodemographics. The practical application was tested by analyzing a contemporary survey from BMW. Based on the findings, managers responsible for customer satisfaction in after-sales services in the automotive industry could improve measurement of customer satisfaction.