Influence of demographics,psychographics, shopping orientation,mall shopping attitude and purchase patterns on mall patronage in India

Retail boom in India is generating considerable interest from within the country as well as abroad. This growth in retail has been fueled by the mushrooming of shopping malls across the country. Despite this very little is known about the characteristics of the Indian mall shoppers. Also of special interest is the behavior of heavy shoppers because regardless of the footfalls at the mall, if the money spent is low, the mall does not benefit. The purpose of this study, therefore, was to profile Indian mall consumers, identify characteristics differentiating the high rupee volume purchasers at the mall and to evolve a model that can help predict heavy rupee volume purchasers in a catchment.The results of this study, spanning eight cities of India and 3026 mall consumers, indicate that the heavy shoppers are significantly different from the other groups along multiple demographic and socio-economic variables, behavioral variables, attitude and shopping orientation. Additionally, the study contributes to literature by evolving a typology of shoppers. The model evolved using Discriminant Analysis was used to predict potential heavy and low rupee volume purchasers for a city of interest, where currently there are no malls.     

Diversity & internationalization: The case of boards and TMT's

Using a mixed US and European sample where both the board and TMT units are analyzed at the same time, we test the variables age, tenure and functional background.We extend the information/decision making perspective (Williams & O’Reilly, 1998) to both TMTs and boards by analyzing them as separate but related entities. In line with our hypotheses we find a positive effect on internationalization for functional background diversity of both boards and TMTs.Contrary to our expectations longer TMT tenure and younger board age also have a positive effect on internationalization.     

Innovation management techniques and tools: a review from theory and practice

Knowledge is considered to be an economic driver in today's economy. It has become a commodity, a resource that can be packed and transferred. The objective of this paper is to provide a comprehensive review of the scope, trends and major actors (firms, organizations, government, consultants, academia, etc.) in the development and use of methods to manage innovation in a knowledge-driven economy. The paper identifies the main innovation management techniques (IMTs) aiming at the improvement of firm competitiveness by means of knowledge management. It will specifically focus on those IMTs for which knowledge is a relevant part of the innovation process. The research study, based on a survey at the European level, concludes that a knowledge-driven economy affects the innovation process and approach. The traditional idea that innovation is based on research (technology-push theory) and interaction between firms and other actors has been replaced by the current social network theory of innovation, where knowledge plays a crucial role in fostering innovation. Simultaneously, organizations in both public and private sectors have launched initiatives to develop methodologies and tools to support business innovation management. Higher education establishments, business schools and consulting companies are developing innovative and adequate methodologies and tools, while public authorities are designing and setting up education and training schemes aimed at disseminating best practices among all kinds of businesses.     

Resampling and bootstrap algorithms to assess the relevance of variables: applications to cross section entrepreneurship data

Empirical Economics - In this paper, we propose an algorithmic approach based on resampling and bootstrap techniques to measure the importance of a variable, or a set of variables, in econometric...     

China's membership in the World Trade Organization (WTO) and the exports of the developing economies of East Asia: a computable general equilibrium approach

There is a general perception particularly among the developing countries of East Asia that China's WTO membership would spell bad news for their exports. The ASEAN countries in particular are quite concerned about its likely negative impact on their export and growth potentials. In this light, the main objective of this paper is to empirically assess the trade implications of China's WTO membership for these countries. Only few studies, using a Computable General Equilibrium (CGE) approach, have addressed the issue of China's WTO membership trade implications. Further, these studies have not adequately addressed the issue from the perspective of the developing countries of East Asia, particularly the ASEAN countries. Using the latest version of the Global Trade Analysis Project (GTAP) model and based on the latest tariff reduction commitments by China, the results showed that, contrary to the current perception and previous studies, almost all of the developing countries of East Asia are likely to benefit from China's WTO membership overall, after allowing for anticipated price adjustments. Without the price adjustments, the Philippines and Singapore would have come out as net losers. These findings have confirmed the need for economic and export restructuring among the ASEAN countries and the importance of accelerating their economic integration. They have also highlighted the importance of promoting trade and investment cooperation between China and ASEAN countries.     

Long- and Short-run Relationship Between Firm Creation and the Ease and Cost of Doing Business

Abstract

To promote private-sector growth, many countries have implemented reforms aimed at making it easier and less costly to do business. Using data from Philippine cities and municipalities from 2011 to 2015, this paper tested for the relationship between business creation and the ease and cost of doing business. The results provide evidence that the overall ease and cost of doing business is indeed associated with business creation, but the relationship becomes more apparent with disaggregation. In particular, lower cost of doing business is found to be a much stronger predictor of business creation than ease of doing business. The specific indicators that drive this relationship are minimum wage, price of electricity, price of water, and price of land from the “cost” dimension, and number of days to process a new business permit from the “ease” dimension. These relationships have implications on policy making, especially in designing programs that target firm creation.     

A theory of serial entrepreneurship

The contribution of serial entrepreneurs to entrepreneurial activity is significant: in Europe, 18–30% of entrepreneurs are serial; in the US, their contribution is about one-eighth. Yet, theories of entrepreneurship and industry dynamics presume that all firms are launched by novice entrepreneurs and firm failure is synonymous with exit from entrepreneurship. We propose a theory of serial entrepreneurship in which an entrepreneur has three occupational choices: maintain his business in operation, shut it down to enter the labor market to earn an exogenous wage, or shut it down to launch a new venture while incurring a serial startup cost. In equilibrium, a high-skill entrepreneur shuts down a business of low quality to become a serial entrepreneur, launching and subsequently closing firms until a high quality business is found; a low-skill entrepreneur shuts down a business of low quality to enter the labor market, never to become a serial entrepreneur. A decrease in the wage or serial startup cost, or an increase in the startup capital, enhances the contribution of serial entrepreneurs to entrepreneurial activity and promotes new firm formation (by increasing entrepreneurship and the number of new firms that survive), but its effect on the exit rate of new firms is ambiguous. We show the model is consistent with evidence relating to the impact of an entrepreneur’s characteristics and prior experience in entrepreneurship on the survival of his firm and his entry into and survival in entrepreneurship.     

Tests of asset pricing with time‐varying factor loads

This paper proposes an empirical asset pricing test based on the homogeneity of the factor risk premia across risky assets. Factor loadings are considered to be dynamic and estimated from data at higher frequencies. The factor risk premia are obtained as estimates from time series regressions applied to each risky asset. We propose Swamy‐type tests robust to the presence of generated regressors and dependence between the pricing errors to assess the homogeneity of the factor risk premia and the zero intercept hypothesis. An application to US industry portfolios shows overwhelming evidence rejecting the capital asset pricing model, and the three and five factor models developed by Fama and French (Journal of Financial Economics, 1993, 33, 3–56; Journal of Financial Economics, 2015, 116, 1–22). In particular, we reject the null hypotheses of a zero intercept, homogeneous factor risk premia across risky assets, and the joint test involving both hypotheses.