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Working Papers | 2013

Processes, Strategies, and Performance Aspects of
Open Innovation in Information Technology
Sector - Insights from Experts

Sudeep K. Krishnan and Rekha Jain

Open innovation paradigm considers that in order to advance technologies and markets, firms can and should leverage internal and external knowledge, ideas, expertise, and paths to market. This is in contrast to the traditional or closed model of innovation management, where organizations usually leverage the in-house capabilities for innovations. Even though the concept of open innovation has received much interest in management research, majority of the studies on open innovation to date have been mostly exploratory in nature. We used semi-structured interviews to gain experts' perspective on open innovation concepts in the Information Technology (IT) sector. Twenty four interviews were conducted with top management executives in IT firms across India, Europe, and Australia over a period of eight months. A content based analysis of these interviews using open coding was used to investigate experts' perspective of open innovation, strategic relevance of open innovation, and industry perception and trends of open innovation adoption. We developed a framework to classify open innovation projects based on the market knowledge strategy, innovation objective, and stage of the project. We also analysed the existing openness and open innovation project performance measures as perceived by these experts.

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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

Testing the Dependence Structure of the Components of Hybrid Processes Using Mutual Information

Apratim Guha

Mutual information is a useful extension of the correlation coecient to study the dependence
among multiple random processes. Hybrid processes are multivariate time series with some
components continuous time series and the rest point processes. Assessment of the strength
of the dependence structure amongst the components of hybrid processes are usually done by
various linear methods which often prove inadequate. In this paper mutual information is studied
for bivariate stationary hybrid processes. Results on convergence of the mutual information
estimates for bivariate time series are developed. It is shown that the mutual information
statistic can be super-optimal compared to the class of non-parametric estimates discussed in
Stone (1980).

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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

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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Working Papers | 2013

A Test for the Two-Sample Problem using Mutual Information

Apratim Guha and Tom Chothia

For two independently drawn samples from continuous distributions,
a statistical test based on the mutual information statistic is proposed
for the null hypothesis that both the samples originate from the same
population. Asymptotic properties of the test statistic under the null
hypothesis of equality is developed. It is demonstrated through simulation
that this test is more powerful than the commonly used nonparametric
tests in many situations. As an application we discuss the information
leak of e-passports. Using the mutual information based test, we detect
information leak in a situation where other non-parametric tests fail.

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