Amended final-offer arbitration over an uncertain value: A comparison with CA and FOA

Arbitration is increasingly employed to resolve disputes. Two arbitration mechanisms, conventional arbitration (CA) and final-offer arbitration (FOA) are commonly utilized, but previous theoretical and empirical research has found that they are unsatisfactory. Several alternative mechanisms have been proposed, but ultimately laboratory research has found that they do not offer an improvement. An exception is amended final-offer arbitration (AFOA), which not only has desirable theoretical properties but also has been demonstrated to outperform FOA in the laboratory. This study provides a direct laboratory comparison of AFOA with CA. Also, by utilizing an environment with an uncertain payoff to one of the parties, this study tests the robustness of AFOA’s performance relative to FOA. The results indicate that AFOA does outperform FOA, but that AFOA is only weakly better than CA. JEL Classification C7, C9, J5, K4     

Using Laboratory Experiments in Logistics and Supply Chain Research

Laboratory experiments provide an underutilized methodology for subjecting research in logistics and supply chain management to rigorous scientific scrutiny. As discussed in this paper, by following established procedures researchers can create an economic system in which behavior can be observed and replicated. With the ability to control the institution and the environment, researchers have complete information and can exogenously manipulate treatment variables, neither of which may be feasible in field work. We also address many of the reservations that skeptics of laboratory experiments often express including issues of realism, participant sophistication, and payoff stakes. We then provide several examples where experiments have been used to study issues relevant to logistics and supply chain management including auctions, wholesale practices in gasoline markets, inventory replenishment, liberalization of the electric power industry, and deregulation of the natural gas markets. Finally, we identify several additional areas where laboratory experiments could be informative.     

创新生产力最大化

许多企业都曾经历过这样的困境：在研发方面投入更多金钱而不能收获丰硕成果。PRTM最近的跨行业研究表明，研发费用与业务增长、获利性、市场覆盖率或者股东价值之间只有很少或几乎没有关联。相当多企业高管觉得他们的组织创新能力发挥不足，改进的努力不尽人意，而在创新上的巨额付出也少有回报。发生这种情况的原因何在，又该如何改进呢？     

Cumulative trauma and stress at work

Cumulative trauma is a form of workers' compensation claim in which an employee contends that a major illness or disability is the cumulative result of minor job stresses and strains extending over a period of years. The paper reviews the U.S. legal developments in this area and discusses their implications for both corporate policy and the developments of accounting for the human resource.     

A Comparison of Bundling and Sequential Pricing in Competitive Markets: Experimental Evidence

Technological advances enable sellers to identify relationships among offered goods. Sellers can leverage this information through pricing strategies such as bundling and sequential pricing. While these strategies have primarily been studied under monopoly assumptions, the strategies are available to competitive firms as well. This paper reports on a series of laboratory experiments comparing bundling and sequential pricing while varying the underlying relationship between the goods in markets where a fraction of buyers comparison shop. The results indicate that sequential pricing is generally as profitable to the seller; however, there is evidence that sequential pricing may be more harmful to consumers than bundling when the goods have complementary values or the buyer’s values are positively correlated.     

A multi-dimensional Bühlmann credibility approach to modeling multi-population mortality rates

In this paper, we first propose a multi-dimensional Bühlmann credibility approach to forecasting mortality rates for multiple populations, and then compare forecasting performances among the proposed approach, the CBD model, the Lee-Carter model (LC), the joint-k (JoK-LC), the co-integrated (CoI-LC), and the augmented common factor (ACF-LC) Lee-Carter models for multiple populations. Mortality data from the Human Mortality Database are fitted to the underlying mortality models for both genders of three well-developed countries (the US, the UK, and Japan) and both genders of a developed country (France) and a developing country (Poland) with an age span 25–84 and a wide range of fitting year spans. Empirical illustrations show that the proposed multi-dimensional Bühlmann credibility approach contributes to more accurate forecast results, measured by AMAPE (average of mean absolute percentage errors over all fitting year spans), than the CBD, LC, JoK-LC, CoI-LC and ACF-LC models for three forecasting year spans 2004–2013 (10-year wide), 1994–2013 (20-year wide) and 1984–2013 (30-year wide).