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Working Papers | 2013

Degree of Openness and Project Performance: A Multi-Country Empirical Assessment of Information Technology (IT) Innovation Projects

Sudeep K. Krishnan, Rekha Jain, and Rakesh Basant

Open innovation is a paradigm that is based on the concept of availability of abundant knowledge outside the boundaries of organizations. This study identified the influence of degree of openness, strength of appropriability regime, and project management maturity on the performance of open innovation projects. Performance was measured based on reduction of technology transfer time from research labs to business units, time to market innovations from the business units, and degree of innovativeness of the outcome. Data from 92 open innovation IT projects across India and Europe were used to test the proposed hypotheses using multiple linear regression and binary logistic regression. We developed an index termed Partner Collaboration Intensity (PCI) to measure degree of openness based on number of partners, intensity of collaboration, and innovation funnel openness. Results showed that specialized research or market partners reduced technology transfer time from research labs to business units. Results also indicated higher values of PCI index, higher strength of appropriability regime, and higher levels of project management maturity positively influenced reduction of technology transfer time from research labs to business units. Results of the logistic regression model showed that all parameters except higher strength of appropriability regime had a positive correlation with the occurrence of breakthrough innovations compared with incremental innovations.

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Working Papers | 2013

Time Resolution of the St. Petersburg Paradox: A Rebuttal

Jayanth R. Varma

Peters (2011) claims to provide a resolution of the three century old St Petersburg paradox by using
time averages and thereby avoiding the use of utility theory completely. Peters also claims to have found an error in Menger (1934, 1967) who established the vulnerability of any unbounded utility function to the St Petersburg paradox. This paper argues that both these claims in Peters (2011) are incorrect. The time average argument can be circumvented by using a single random number (between zero and one) to represent the entire infinite sequence of coin tosses, or alternatively by applying a time reversal to the coin tossing. Menger's proof can be reinstated by comparing the utility of playing the Super St Petersburg game to the utility of an arbitrarily large sure payoff.

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Working Papers | 2013

Alliance Capability, Governance Mechanisms And Stakeholder Management In Complex Settings

Rakesh Basant and Rajnish Rai

In today's business environment, inter-firm alliances of simultaneous cooperation and competition (IASCC) have become very important for enhancement of internal resources as well as market shares of firms. Evidence suggests that majority of the alliances today occur between competitors or within the same industry. Given the increasing importance and complexity of IASCC, issues of stakeholder management and governance structures in such alliances need to be more clearly understood. Using primary data collected from Indian firms in different sectors, this paper explores the antecedents of governance mechanisms in IASCC from a stakeholder perspective by viewing alliance partners as stakeholders. It is argued that alliance capabilities are important determinants of governance structures. Moreover, the role of these capabilities is moderated by the strategic context of the IASCC in determining the nature of governance structures.

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Working Papers | 2013

Access To Higher Education In India: An Exploration Of Its Antecedents

Rakesh Basant and Gitanjali Sen

Deficits in participation of marginalized groups in Higher Education (HE) have attracted significant policy and research attention. Recent studies have explored the role of socio-religious affiliation and other factors in determining participation in HE. It is also shown that appropriate measures of 'deficits' in participation should inform the nature and scope of affirmative action for marginalized groups. Using appropriate measures of participation, this paper explores if the role of socio-religious background and other factors has changed over a period of time. This dynamics of participation in HE is analyzed by using three rounds of NSS data for the period 1999-2010.

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Working Papers | 2013

A Customer Oriented Approach To Identifying Competitive Advantage

Arvind Sahay

A firm's 'competitive advantage' is considered to arise from certain 'factors internal to the firm as postulated by the resource based view' or from 'external sources and industry structure.' However, it remains unclear as to "how" these factors result in competitive advantage, since the literature has largely focused on establishing that the presence of these factors results in the manifestation of competitive advantage. Since firms serve customers, in this paper, we explore how both internal and external factors influence the organization-customer interface which, in turn, results in competitive advantage for the firm, i.e., we examine the process of manifestation of competitive advantage. We advance propositions to elucidate how internal and external factors influence different stages of organization's interaction with the customer in terms of an increase or decrease in search, evaluation, and purchase transaction costs and a change in the consumption experience, as applicable. Competitive advantage is a function of these interactions. We also consider the role of three moderating variables-product involvement, frequency of purchase and cognitive vs. affect based evaluation-that are germane to the outcomes at the organization-customer interface.

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Working Papers | 2013

Market-Driving Behaviors: A Framework for Developing Theory and Practice

Arvind Sahay

Whereas marketing scholars have explored firms' market-driven behaviors, relatively limited attention has focused on firms' market-driving behaviors. Early writings on the subject suggest that market-driving behaviors serve as an important complement to market-driven behaviors. The purpose of this paper is to develop a framework for studying market-driving behaviors and their antecedent conditions. We develop a taxonomy for classifying the different ways in which a firm can drive markets, and delineate the major classes of antecedent conditions under which market-driving behaviors are likely to be observed. An illustrative set of propositions is developed in an effort directed at building theory on the subject. Our framework offers managers a way to structure their strategic thinking in actionable terms. Additionally, the framework offers a platform for further developing theory about market-driving behaviors.

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Working Papers | 2013

On Estimation of Number of Species and Biodiversity

Atanu Biswas and Apratim Guha

Suppose S is the unknown number of species in a community, and the sample consists of m distinct species, fj species are represented j times in the sample, j = 1; 2; ... ; k. Let f0 be the number of missing species in the sample. Several existing approaches are available for estimating f0 (and hence S), and also the measure of biological diversity given by Shannons index of diversity, denoted by H. The standard approach, although derived from elegant distribution theory, uses some sort of approximation, and essentially ignores all the species in the sample with counts two or more. The present paper proposes an alternative estimate of f0, and hence of H, using all the observed counts f1; f2; ; fk. The performance of the proposed estimates are studied and compared with the existing competitors through simulations. Some real data sets are used for illustration.

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Working Papers | 2013

Auto-Havra Charvat entropic measures for stationary time series of categorical data

Atanu Biswas, Maria del Carmen Pardo, and Apratim Guha

For stationary time series of nominal categorical data or ordinal categorical data (with arbitrary ordered numberings of the categories), autocorrelation does not make much sense. One can alternatively think of
using some entropic measures, of which a measure introduced by Havrda and Charvat (1967) could be particularly useful. We discuss some theoretical properties of measures from this class in the context of categorical
time series and look at specific examples. Theoretical properties and simulation results are given along with an illustrative real data example.

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Working Papers | 2013

Modelling and coherent forecasting of zero-inflated time series count data

Raju Maiti, Atanu Biswas, Apratim Guha, and Huat Ong Seng

In this article, a new kind of stationary zero-inflated Pegrams operator based integer-valued time series process of order p with Poisson marginal or ZIPPAR(p) is constructed for modelling a count time series consisting a large number of zeros compared to standard Poisson time series processes. Estimates of the model parameters are studied using three methods, namely Yule-Walker, conditional least squares and maximum likelihood estimation. Also h-step ahead coherent forecasting distributions of the proposed process for p = 1; 2 are derived. Real data set is used to examine and illustrate the proposed model with some simulation studies.

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Working Papers | 2013

Some Auto-power Divergence Measures for Stationary Time Series of Categorical Data

Atanu Biswas, Maria del Carmen Pardo, and Apratim Guha

For stationary time series of nominal categorical data or ordinal categorical data (with arbitrary ordered numberings of the categories), autocorrelation does not make much sense. Biswas and Guha (2009) used mutual information as a measure of association and introduced the concept of auto-mutual information in this context. In this present paper we generalise to auto-power divergence measures for this purpose and study some special cases. Theoretical properties and simulation results are given along with an illustrative real data example.

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