Theory-Driven Choice Models

We explore issues in theory-driven choice modeling by focusing on partial-equilibrium models of dynamic structural demand with forward-looking decision-makers, full equilibrium models that integrate the supply side, integration of bounded rationality in dynamic structural models of choice and public policy implications of these models.     

Introducing E-MARKPLAN: A practical methodology to plan e-marketing activities

Although e-marketing is highly prevalent, no template currently exists for managers who wish to use the Internet/Web and related information technologies to market their products and services. This paper provides managers with a comprehensive, actionable, and practical methodology (E-MARKPLAN) to plan, enact, and analyze e-marketing activities. Five case studies are used to illustrate the diversity of e-marketing actions. E-MARKPLAN consists of five parts: goals, actors (i.e., those who take e-marketing actions), spaces (i.e., theaters of engagement), actions, and outcomes. The E-MARKPLAN methodology is versatile, and is not limited to companies which have e-commerce operations.     

Role of Forgetting in Memory-Based Choice Decisions: A Structural Model

We propose a structural model to investigate the impact of forgetting on consumers' brand choice decisions in frequently purchased products. Forgetting results in consumers imperfectly recalling their prior brand evaluations when making a purchase decision in the category. We conceptualize the imperfect recall by positing that consumers recall their prior evaluations with noise. Based on prior research in the behavioral area, we characterize the extent of forgetting as an increasing and concave function of time. Our framework generates analytical results on the impact of forgetting on consumers' brand evaluations and their consequent purchase behavior. We calibrate our model using scanner panel data for liquid detergents. Furthermore, we obtain insights into the consumers' extent of forgetting in the category, extent of learning, predicted price elasticities and implications on state dependence and habit persistence. Our results underscore the importance of modeling consumers' ability to recall only imperfectly.     

Customer loyalty in e-commerce: an exploration of its antecedents and consequences

This paper investigates the antecedents and consequences of customer loyalty in an online business-to-consumer (B2C) context. We identify eight factors (the 8Cs—customization, contact interactivity, care, community, convenience, cultivation, choice, and character) that potentially impact e-loyalty and develop scales to measure these factors. Data collected from 1,211 online customers demonstrate that all these factors, except convenience, impact e-loyalty. The data also reveal that e-loyalty has an impact on two customer-related outcomes: word-of- mouth promotion and willingness to pay more.     

THE IMPACT OF LABOR MARKET REGULATION ON EMPLOYMENT IN LOW‐INCOME COUNTRIES: A META‐ANALYSIS

Controversy over labor market policy often centers on achieving a balance between preventing worker exploitation, and avoiding loss of productivity or employment through excessive regulation. Although the literature documenting the impact of labor market regulation on employment is extensive, there is a dearth of evidence on the impact of such policies in low‐income countries (LICs). Since it is easier for workers, especially women, to slip into the informal sector in LICs, regulations are likely to have stronger impacts on formal employment in these countries (but lower impacts on unemployment). We systematically reviewed available research from countries that are, or were until recently, LICs. Most studies document that more stringent labor regulations are associated with lower formal sector employment and higher informal sector employment. We also conducted a metaregression analysis of the impact of minimum wages on formal and informal employment. After controlling for publication bias, higher minimum wages are associated with lower formal employment and a higher share of informal workers.     

Interactive Technologies and Retailing Strategy: A Review,Conceptual Framework and Future Research Directions

During the past decade, a number of interactive technologies, including the Internet, have fundamentally transformed how retailers compete in the marketplace. In a similar vein, emerging interactive technologies can be expected to significantly alter the retailing landscape through their impact on retailing strategy and operations. Furthermore, it is conceivable that certain emerging interactive technologies will be perceived by some retailers as enablers (tools to more effectively compete in the marketplace) and by other retailers as disruptors of the present ways of doing business. Interactive technologies can either be generic, a technology that is readily available from an information technology (IT) vendor and is widely adopted by retailers, or proprietary. An interactive technology that is proprietary can enable a firm to generate economic rents from the innovation for an extended duration of time. Investing in a generic interactive technology, however, may be perceived as a cost of doing business for a retailer, and not a potential source of sustainable competitive advantage. However, a retailer's complementary resource endowments may enable the retailer to more effectively leverage a generic technology relative to its competitors and thereby achieve a sustainable competitive advantage. In this paper, we review the related literature, develop a process model delineating the mechanisms by which an interactive technology can affect and necessitate changes in retailers' strategies and identify directions for future research.     

ExpertLens: A system for eliciting opinions from a large pool of non-collocated experts with diverse knowledge

The complexity of policy decision-making raises the need to elicit opinions from large and heterogeneous groups of stakeholders with broad and diverse sets of expertise. Existing options for elicitation include small face-to-face panels of experts by using the Nominal Group Technique (NGT), large Delphi panels whose members do not interact with each other face-to-face, and crowdsourcing, which involves an open call for input issued to a large community of people. In an attempt to close the gap between the practical needs of policy makers and the methodological challenges associated with eliciting opinions of large, diverse, and distributed groups, we have developed a new online elicitation system and methodology called ExpertLens. By optimizing the direct interactions of NGT with the larger number of Delphi participants and the wisdom of “selected crowds,” our approach is designed to save on the costs associated with traditional expert panels, while increasing accuracy in elicitation by reducing the potential for group process losses that can occur in large, diverse, and non-collocated panels whose members interact via asynchronous online discussion boards. The ExpertLens approach is iterative, does not require participants to develop consensus, and determines what the group “thinks” by statistically analyzing data collected in all rounds of the elicitation. This paper describes the ExpertLens system and methodology, briefly discusses recent ExpertLens trials, provides conceptual arguments for why it is an appropriate model for eliciting expert opinions, illustrates its main components and analytics by using an infrastructure investment example, and discusses a research agenda for testing the underlying tenets of the ExpertLens approach.     

Grain price stabilization in India: Evaluation of policy alternatives

Stabilization of prices is an important element of food policy in India as in most other countries — both developing and eveloped. However, since the magnitude of grain stocks held for this purpose as well as the costs of physical storage have become prohibitively high, there is now a need for finding cost-effective alternatives including non interventionist and market-oriented methods for price stabilization. In this paper we consider the case of rice and wheat which are staple foodgrains in India. We make a comparison between alternative price stabilization policies including that of holding buffer stocks in terms of their impact on domestic price stability, producer and consumer welfare and government costs. A multi-market equilibrium framework is used where private storage, consumption, supply and prices of rice and wheat are determined simultaneously. Indian exports and imports are assumed to affect world prices. The alternative price stabilizing mechanisms are ranked according to both the criteria, welfare and price stability achieved. The main findings are as follows. The ranking of alternatives varies with the criterion used. Greater price stability need not necessarily imply greater welfare. The option of variable levies on private external trade turns out to be the most inexpensive and that of domestic buffer stocks the costliest in achieving price stability. Further, the efficacy of buffer stocks and subsidy to private storage in stabilizing prices is lower under free trade as compared to the case where the economy is closed to private external trade.