Price and quality competition with quality positions

In this study, we investigate price and quality decisions in a duopoly in the presence of firms’ quality positions , which are determined by the quality levels of their existing core products. Into a standard model of vertical differentiation, we incorporate a “repositioning cost” that is proportional to the quality differences between firms’ current and new products. By varying the levels of quality positions, we analyze the impact of this cost on the equilibrium outcomes. Our results show that the presence of repositioning costs restricts firms’ abilities to improve profitability and differentiate themselves vertically. As a result, a high‐positioned firm does not necessarily have a competitive advantage over a low‐positioned firm, even if the former offers a superior new product in equilibrium. In addition, if a low‐positioned firm is significantly cost‐efficient compared with its rival with regard to repositioning, then that firm can earn higher profits than those of a high‐positioned firm by strategically offering its low‐end product. These results contrast sharply with those based on the standard vertical differentiation model.     

Disaster‐Relief Logistics With Limited Fuel Supply

Disaster‐relief logistics consists of providing adequate emergency supplies rapidly to the affected people so as to minimize human suffering and death. This study empirically examines the impact that the shortage of fuel, a commonly encountered problem in many disaster situations, can have on the effectiveness of disaster‐relief logistics operations. We focus on investigating the following two issues: (1) whether the shortage of fuel is more damaging in attaining logistical goals than the equivalent‐sized shortage in emergency supplies themselves, and (2) what types of vehicles should be used when the fuel supply is limited. Results suggest that the shortage of fuel may be more damaging than the shortage of emergency supplies, and that smaller trucks may be preferred to larger trucks when the shortage of fuel becomes severe.     

Corporate bankruptcy prediction in Japan

The purpose of this study is to highlight the financial characteristics of failed firms in Japan, and to construct corporate bankruptcy prediction models with greater prediction accuracy. Our principal component analysis indicated that failed firms in Japan could be classified into two groups: a group having negative financial structures and a group having a declining flow of funds. Additionally, they can be classified into two other different categories of groups: one whose financial position during three years before shows a ‘V’ shape and another group that shows a ‘XXX’ shape.Our discriminant analysis indicated that improved prediction accuracy could be obtained by using, as predictor variables, both ratios and absolute amounts based on cash base financial statement data three years before failure. This data was adjusted to properly reflect the exceptions, reservations, and qualifications appearing in the audit reports and those based on accrual base financial statement data.     

Technological innovation and diffusion of wind power in Japan

The purpose of this paper is to analyze the diffusion of wind power in Japan by focusing on the value chain and the interaction between technology and markets and to contribute towards recommendations on technology policy and management. This paper proposes a framework for analyzing the early stage diffusion of wind power systems by combining the use of several approaches considering wind power system as a complex technological system. Firstly, the business system approach is used as an analytical framework by focusing on efficiency, effectiveness and development criteria. As a second approach, the technological trajectory was analyzed based on the concept of technological disequilibrium and the evolutionary patterns of innovation of wind power generation systems were analyzed and the relationship between innovations at the sub-system, modular, and system level was identified. We apply the framework to investigate why wind power diffusion has not picked up momentum in Japan.The results include the following: (1) Technological imbalances within the product system were solved by technological innovation (2) The wind power business in Japan is insufficiently effective due to organizational disequilibrium (3) The technology system has begun to evolve in the direction of micro grid systems. (4) It is important to consider the demand-pull measures for wind power generation so that Japanese institution can have a “time slot” for ”learning by doing” to catch up and accelerate diffusion of wind power generation, including institutional reform of RPS law. Also further technological development related to stabilizing unstable wind energy is required.     

The Last Mile: Managing Driver Helper Dispatching for Package Delivery Services

Hiring seasonal driver helpers is one widely used approach by parcel delivery companies to deal with increased home-delivery volumes during peak seasons. Nonetheless, driver helper-related issues have not received much attention in academic research. This study investigates how driver helpers can be utilized in the most effective way by parcel delivery companies. We show that by separating a parcel delivery route into two sub-routes, namely “no-helper” and “with-helper” routes, the utilization rates of driver helpers can be improved, and the carrier cost be reduced considerably. Three main contributions of this study are as follows. First, based on costtrade-off insights, we develop a new mathematical model for the last-mile distribution problem, which we call the Driver Helper Dispatching Problem. Second, using this mathematical model, we perform a series of numerical experiments to identify the conditions under which the proposed “split-route solution” works most or least effectively. Finally, we perform sensitivity analyses to investigate the impact that changes in model parameters, such as fuel cost, would have on study results.     

Automated Certification for Compliant Cloud-based Business Processes

A key problem in the deployment of large-scale, reliable cloud computing concerns the difficulty to certify the compliance of business processes operating in the cloud. Standard audit procedures such as SAS-70 and SAS-117 are hard to conduct for cloud-based processes. The paper proposes a novel approach to certify the compliance of business processes with regulatory requirements. The approach translates process models into their corresponding Petri net representations and checks them against requirements also expressed in this formalism. Being based on Petri nets, the approach provides well-founded evidence on adherence and, in case of noncompliance, indicates the possible vulnerabilities.     

Income and Employment Generation from Agricultural Processing and Marketing: The Case of Soybean in Indonesia

This study aims to illustrate the potential of agricultural processing and marketing activities in generating local income and employment in developing economies, using soybean in Indonesia as a case. The results show that those activities add to rural income and employment at a scale equal or even larger than those generated from farm production itself, indicating their role in alleviating poverty and inequality in the rural sector.     

Predicting truck driver turnover

We propose a decision tool for truckload carriers that can help control driver turnover rates. Our approach is to use an existing econometric method, along with the drivers’ work data, to predict the quit probability of each driver on a weekly basis, so that carriers can identify a subset of drivers who are “about to quit” in a timely manner. Empirical results from two case studies indicate that our approach does a nice job of predicting driver exits, and that it may become a useful management decision tool. Our method was recently adopted by two US truckload carriers.     

Knowledge transfer in corporate venturing activity and impact of control mechanisms

This study investigated how control mechanisms impacts knowledge transfer between a parent company and its new ventures in corporate venturing (CV). Based on the knowledge-based theory, we proposed that autonomy and incentive scheme may stimulate or eliminate knowledge flows in CV activity, and such relationships may be moderated by the extent to which CV activity is aimed at exploring new technologies/markets. Using a sample of 61 companies in both Japan and the United States, we found strong evidence that the impacts of autonomy and incentive schemes are contingent upon various CV objectives.