Jaideep Prabhu

Bio: Jaideep Prabhu is an academic researcher from University of Cambridge. The author has contributed to research in topics: Frugal innovation & Emerging markets. The author has an hindex of 26, co-authored 60 publications receiving 6395 citations. Previous affiliations of Jaideep Prabhu include Wilfrid Laurier University & Tilburg University.

Service innovation in the digital age: key contributions and future directions

Abstract: Over the last decade, there has been an increasing focus on service across socioeconomic sectors coupled with transformational developments in information and communication technologies (ICTs). Together these developments are engendering dramatic new opportunities for service innovation, the study of which is both timely and important. Fully understanding these opportunities challenges us to question conventional approaches that construe service as a distinctive form of socioeconomic exchange (i.e., as services) and to reconsider what service means and thus how service innovation may develop. The aim of this special issue, therefore, is to bring together some of the latest scholarship from the Marketing and Information Systems disciplines to advance theoretical developments on service innovation in a digital age.

Radical Innovation Across Nations: The Preeminence of Corporate Culture

Abstract: Radical innovation is an important driver of the growth, success, and wealth of firms and nations. Because of its importance, authors across various disciplines have proposed many theories about the drivers of such innovation, including government policy and labor, capital, and culture at the national level. The authors contrast these theories with one based on the corporate culture of the firm. They test their theory using survey and archival data from 759 firms across 17 major economies of the world. The results suggest the following: First, among the factors studied, corporate culture is the strongest driver of radical innovation across nations; culture consists of three attitudes and three practices. Second, the commercialization of radical innovations translates into a firm's financial performance; it is a stronger predictor of financial performance than other popular measures, such as patents. The authors discuss the implications of these findings for research and practice.

The influence of satisfaction, trust and switching barriers on customer retention in a continuous purchasing setting

Abstract: Adopts a holistic approach that examines the combined effects of satisfaction, trust and switching barriers on customer retention in a continuous purchasing setting. Argues that such an approach helps uncover hitherto neglected effects on retention and, in the process, unveils more cost effective ways of retaining customers. Drawing on this framework develops several hypotheses regarding the main and interaction effects of customer satisfaction, trust and switching barriers on retention. Tests these hypotheses on data from a large‐scale mail survey of fixed line telephone users in the UK, finding that both customer satisfaction and trust have strong positive effects on customer retention. Contrary to some assertions in the literature, however, finds that the effect of trust on retention is weaker than that of satisfaction. Nevertheless, the interaction between trust and satisfaction also has a significant effect on retention, indicating that building both customer satisfaction and trust is a superior strategy to a focus on satisfaction alone. Qualitative evidence from the survey offers further support for this finding. Even a “satisfying” service recovery process might be inadequate to prevent loss of trust, with significant implications for future consumer behaviour. Finally, the results show that switching barriers have both a significant positive effect on customer retention as well as a moderating effect on the relationship between satisfaction and retention. While service providers may be able to retain even dissatisfied customers who perceive high switching barriers, argues that ideally, firms should aim at a combined strategy that makes switching barriers act as a complement to satisfaction.

Innovation for Inclusive Growth: Towards a Theoretical Framework and a Research Agenda

Abstract: Inclusive innovation, which we define as innovation that benefits the disenfranchised, is a process as well as a performance outcome. Consideration of inclusive innovation points to inequalities that may arise in the development and commercialization of innovations, and also acknowledges the inequalities that may occur as a result of value creation and capture. We outline opportunities for the development of theory and empirical research around this construct in the fields of entrepreneurship, strategy, and marketing. We aim for a synthesis in views of inclusive innovation and call for future research that deals directly with value creation and the distributional consequences of innovation.

Sources and Financial Consequences of Radical Innovation: Insights from Pharmaceuticals

Abstract: Radical innovations are engines of economic growth and the focus of much academic and practitioner interest, yet some fundamental questions remain unanswered. The authors use theoretical arguments on the risk associated with radical innovations, and the resources needed for them, to answer the following questions on the sources and financial consequences of radical innovation: (1) Who introduces a greater number of radical innovations: dominant or nondominant firms? (2) How great are the financial rewards to radical innovations, and how do these rewards vary across dominant and nondominant firms? (3) Is it only a firm’s resources in the aggregate or also its focus and leverage of resources that make its innovations more financially valuable? and (4) Which are more valuable: innovations that incorporate a breakthrough technology or innovations that provide a substantial increase in customer benefits? The authors pool information from a disparate set of sources in the pharmaceutical industry to stu...

Bowling alone: The collapse and revival of American community

Abstract: The present historical moment may seem a particularly inopportune time to review Bowling Alone, Robert Putnam's latest exploration of civic decline in America. After all, the outpouring of volunteerism, solidarity, patriotism, and self-sacrifice displayed by Americans in the wake of the September 11 terrorist attacks appears to fly in the face of Putnam's central argument: that \"social capital\" -defined as \"social networks and the norms of reciprocity and trustworthiness that arise from them\" (p. 19)'has declined to dangerously low levels in America over the last three decades. However, Putnam is not fazed in the least by the recent effusion of solidarity. Quite the contrary, he sees in it the potential to \"reverse what has been a 30to 40-year steady decline in most measures of connectedness or community.\"' As an example of how the current \"war on terrorism\" could generate a durable civic renewal, Putnam points to the burst in civic practices that occurred during and after World War II, which he says \"permanently marked\" the generation that lived through it and had a \"terrific effect on American public life over the last half-century.\" 3 If Americans can follow this example and channel their current civic

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Abstract: 1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Estimation and Inference in Econometrics

Abstract: Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Structural Equation Modeling

Abstract: Structural equation modeling (SEM) is a multivariate statistical framework that is used to model complex relationships between directly observed and indirectly observed (latent) variables. SEM is a general framework that involves simultaneously solving systems of linear equations and encompasses other techniques such as regression, factor analysis, path analysis, and latent growth curve modeling. Recently, SEM has gained popularity in the analysis of complex genetic traits because it can be used to better analyze the relationships between correlated variables (traits), to model genes as latent variables as a function of multiple observed genetic variants, and to assess the association between multiple genetic variants and multiple correlated phenotypes of interest. Though the general SEM framework only allows for the analysis of independent observations, recent work has extended SEM for the analysis of data on general pedigrees. Here, we review the theory of SEM for both unrelated and family data, describe the available software for SEM, and provide examples of SEM analysis.