The Impact of Online and Offline Information Sources on Automobile Choice Behavior

The Internet has significantly impacted the information search behavior of consumers. Many consumers regularly consult Internet sources for information on product categories, brands, manufacturers, and retailers, particularly when making a purchase decision about major durable goods. Automobiles are one example of such goods. The Internet has become a major source for information on automobile brands, attributes, and dealers. While much research has been done on the impact of the Internet on automobile information search behavior and search costs, there is limited work on the relationship between Internet use and the ultimate automobile choice. This type of relationship may have interesting managerial implications for both manufacturers of automobiles and firms that provide information on automobiles. This paper attempts to address this gap. It examines whether Internet use is associated with different choice patterns for automobiles. Using discrete choice analysis on automobile choice data, we explore whether there will be differences in the salience of specific information types for online versus offline consumers. We find that Internet users rely more on ratings while non-Internet users rely more on recommendations when making automobile choices. Our findings have several useful managerial implications for information provision, both online and offline.     

Business groups and market failures: A focus on vertical and horizontal strategies

Drawing from transaction cost economics and strategic management, this paper develops a series of propositions that link market failure with corporate strategy. In doing so, the paper focuses on both vertical and horizontal strategies as strategic approaches that could be used to address different types of market failure. The significant contribution of the paper lies in its deconstruction of the various types of market failure and developing a theoretically grounded set of propositions that identifies appropriate corporate strategic responses that can be used to ameliorate the negative consequences of each type of failure. In doing so it also explores the evolution of business groups and the viability of strategic choices that groups are likely to make as they navigate the emerging market terrain.

Managing truck arrivals with time windows to alleviate gate congestion at container terminals

Long truck queues at gates often limit the efficiency of a container terminal and generate serious air pollution. To reduce the gate congestion, this paper proposes a method called ‘vessel dependent time windows (VDTWs)' to control truck arrivals, which involves partitioning truck entries into groups and assigning different time windows to the groups. The proposed VDTWs method includes three steps: (1) predicting truck arrivals based on the time window assignment, (2) estimating the queue length of trucks, and (3) optimizing the arrangement of time windows to minimize the total cost in the system. A conventional Genetic Algorithm (GA), a multi-society GA, and a hybrid algorithm using GA and Simulated Annealing are used to solve the optimization problem. A case study based on a real container terminal in China is performed, which shows the VDTWs method can flatten the truck arrivals and reduce the gate congestion significantly.     

Right person in the right place: How the host country IPR influences the distribution of inventors in offshore R&D projects of multinational enterprises

Research summary : Prior work has shown that the strength of the intellectual property regime (IPR) in a host country influences offshore R&D to that country. Building on this work we propose that the strength of the IPR in a host country differentially influences the threat of knowledge leakage on projects that are produced for the location where the multinational firm is headquartered (home) versus the offshore location to which the R&D project is sent (host). We argue and show that when the host location has a weak IPR, fewer host inventors are involved in host R&D projects when compared to home R&D projects. We test our hypotheses using a dataset of patents held by US assignees, but coinvented in 43 host locations with differing IPR strength. Managerial summary : Multinational enterprises often cite the weak IPRs at emerging economy host destinations as a significant impediment to offshore R&D activities in those countries, despite the abundant supply of inexpensive scientific talent there. We find that the weak IPR at the host destination is a greater impediment to offshore R&D that is aimed for end use at the host market than for R&D that is aimed for end use globally or in the home market. Since IPRs are local, a weaker IPR at the host location does not protect IP that is relevant to the host market. Since the IPR at the home country is more relevant for technologies aimed at the home market, the IPR at the host country is irrelevant for such R&D projects. Copyright © 2015 John Wiley & Sons, Ltd.     

A mathematical reformulation of the reference price

Reference prices have long been studied in applied economics and business research. One of the classic formulations of the reference price is in terms of an iterative function of past prices. There are a number of limitations of such a formulation, however. Such limitations include burdensome computational time to estimate parameters, an inability to truly account for customer heterogeneity, and an estimation procedure that implies a misspecified model. Managerial recommendations based on inferences from such a model can be quite misleading. We mathematically reformulate the reference price by developing a closed-form expansion that addresses the aforementioned issues, enabling one to elicit truly meaningful managerial advice from the model. We estimate our model on a real world data set to illustrate the efficacy of our approach. Our work is not only important from a modeling perspective, but also has valuable behavioral and managerial implications, which modelers and non-modelers alike should find useful.     

Why do business groups continue to matter? A study of market failure and performance among Indian manufacturers

This paper explores the nature of the influence that business groups exert in shaping performance outcomes in emerging economies. Set in India, this study used a longitudinal research design to assess the independent and collective performance impact of group affiliation and diversification both before and after economic reforms were introduced in the country. Consistent with the institutional theory perspective, results show that in the pre-reform period the group structure exerted an important positive moderating effect on the diversification-performance relationship. However, these group benefits appear to persist even after many of the sources of market failure had started to decline rapidly. This persistence of group effect may be indicative of the continued relevance of non-diversification benefits of the group structure in emerging economies. It may also be indicative of the fairly slow process of building institutional infrastructure in emerging economies where reforms are seldom introduced en masse but more a series of continuing measures as was the case in India.     

Design of Robust New Products under Variability: Marketing Meets Design*

In designing consumer durables such as appliances and power tools, it is important to account for variations in product performance across different usage situations and conditions. Since the specific usage of the product and the usage conditions can vary, the resultant variations in product performance also can impact consumer preferences for the product. Therefore, any new product that is designed should be robust to these variations—both in product performances and consumer preferences. This article refers to a robust product design as a design that has (1) the best possible (engineering and market) performance under the worst‐case variations and (2) the least possible sensitivity in its performance under the variations. Achieving these robustness criteria, however, implies consideration of a large number of design factors across multiple functions. This article's objectives are (1) to provide a tutorial on how variations in product performance and consumer preferences can be incorporated in the generation and comparison of design alternatives and (2) to apply a multi‐objective genetic algorithm (MOGA) that incorporates multifunction criteria in order to identify better designs while incorporating the robustness criteria in the selection process. Since the robustness criteria is based on variations in engineering performance as well as consumer preferences, the identified designs are robust and optimal from different functional perspectives, a significant advantage over extant approaches that do not consider robustness issues from multifunction perspectives. This study's approach is particularly useful for product managers and product development teams, who are charged with developing prototypes. They may find the approach helpful for obtaining customers' buy‐in as well as internal buy‐in early on in the product development cycle and thereby for reducing the cost and time involved in developing prototypes. This study's approach and its usefulness are illustrated using a case‐study application of prototype development for a handheld power tool.     

Structural model for analysis of key performance indicators for sustainable manufacturer–supplier collaboration: A grey-decision-making trial and evaluation laboratory-based approach

With growing competition in the market and dire need for sustainability, it has become imperative for companies to build long-term relationship with their supply chain partners through sustainable collaboration. Among these, the supplier–manufacturer relationship is crucial for improved organizational, business and sustainable performance. Sustainable collaboration with suppliers involves crucial decision-making processes such as continuous supplier monitoring and supplier development. Hence, a critical challenge that a company faces is to identify the key performance indicators (KPIs) for assessing the performance of a supplier for sustainable collaboration. In this regard, this study focuses on identification of KPIs for an Indian home appliance company through exhaustive discussions involving multiple decision-makers. Further, a grey-based decision-making trial and evaluation laboratory (DEMATEL) model is proposed in the study for analysing the importance levels among the fifteen KPIs based on multiple stakeholder perspectives. The results of the grey structural model indicate seven KPIs as influencing KPIs and eight KPIs as influenced KPIs. The KPI ‘Information disclosure’ has been identified as the most influential KPI for the evaluation of suppliers for sustainable collaboration. The implications drawn from the result analysis model can provide meaningful insights to managers for identifying strategies towards strengthening the supplier–manufacturer relationship and achieving organizational and market competence.     

Emerging technologies and analytics for a new era of value-centered marketing in healthcare

Journal of the Academy of Marketing Science - The healthcare system is undergoing a fundamental transformation fueled by regulatory shifts that reward value over volume, coupled with unprecedented...