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3893 items in total found

Journal Articles | 2017

The role of cluster presence and quality certification in internationalization and performance of offshore service providers

Rajesh S. Upadhyayula, Karthik Dhandapani, and Amit Karna

Journal of International Management

Offshore Service Providers (OSPs) have been a subject of research for several years now. However, there is little known about what drives the internationalization of OSPs. In this paper, we combine insights from economic geography and institutional view to investigate cluster presence and quality certification as the drivers of OSP internationalization and their performance. We hypothesize the facilitating role these two factors play in driving the performance of internationalized firms. We test our hypotheses using data from Indian software firms between 1992 and 2002. We find a positive effect of certification on OSP internationalization. Although certification contributes negatively to OSP performance, it positively moderates the performance effect of OSP internationalization. Cluster presence was found to drive OSP's overall performance, but has no effect on internationalization. Through our findings, we contribute towards the literature on OSP internationalization.

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Journal Articles | 2017

Accounting for political opinions, power, and influence: A Voting advice application

Tommi Pajala, Pekka Korhonen, Pekka Malo, Ankur Sinha, Jyrki Wallenius, and Akram Dehnokhalaji

European Journal of Operational Research

Voting Advice Applications (VAAs) are online decision support systems that try to match voters with political parties or candidates in elections, typically based on how each responds to a number of policy issue statements. Such VAAs play a major role in many countries. In this paper, we describe the development and large-scale application of a new innovative matching algorithm for the most widely used VAA in Finland. We worked closely with the owner of the VAA, the largest daily newspaper in Finland, Helsingin Sanomat. Their previous algorithm, which one might call a “naive” approach, was improved by including measures of candidate’s political power and influence, using proxy variables of media visibility and incumbency status. The VAA was implemented for the 2015 Parliamentary Election in Finland; our matching algorithm was used by 140,000 voters (26.7% of the electorate) in the Helsinki election district. The innovative algorithm generated recommendations that many voters were happy about, followed by users’ incidental comments that this was the first time the VAA recommended candidates they wanted to vote for. This showed the importance of catering to different kinds of voters with a model not previously considered by any VAA in any country.

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Journal Articles | 2017

Productivity differences and inter-state migration in the U.S.: A multilateral gravity approach

Anindya S. Chakrabarti and Aparna Sengupta

Economic Modelling

In this paper, we study the quantitative role of productivity differences in explaining migration in presence of multiple destination choices. We construct a dynamic general equilibrium model with multi-region, multi-sector set-up where labor is a mobile input, which adjusts to regional and sectoral productivity shocks, resulting in migration across regions. The proposed model generates a migration network where the flow of migrants between any two regions follows a gravity equation. We calibrate the model to the U.S. data and we find that variation in industrial and regional total factor productivity shocks explains about 63% of the interstate migration in the U.S. Finally, we perform comparative statics to estimate the effects of long-run structural changes on migration. We find that capital intensity of the production process and the demand for services over manufactured goods negatively impact aggregate level of migration whereas asymmetries in trade patterns do not appear to have substantial effects.

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Journal Articles | 2017

Quantifying invariant features of within-group inequality in consumption across groups.

Anindya S. Chakrabarti, Arnab Chatterjee, Tushar Nandi, Asim Ghosh, and Anirban Chakraborti

Journal of Economics interaction and Coordination

We study unit-level expenditure on consumption across multiple countries and multiple years, in order to extract invariant features of consumption distribution. We show that the bulk of it is lognormally distributed, followed by a power law tail at the limit. The distributions coincide with each other under normalization by mean expenditure and log scaling even though the data is sampled across multiple dimension including, e.g. time, social structure and locations. This phenomenon indicates that the dispersions in consumption expenditure across various social and economic groups are significantly similar subject to suitable scaling and normalization. Further, the results provide a measurement of the core distributional features. Other descriptive factors including those of sociological, demographic and political nature, add further layers of variation on the this core distribution. We present a stochastic multiplicative model to quantitatively characterize the invariance and the distributional features.

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Journal Articles | 2017

Financial fluctuations anchored to economic fundamentals: A mesoscopic network approach

Kiran Sharma, Balagopal Gopalakrishnan, Anindya S. Chakrabarti, and Anirban Chakraborti

Scientific Reports

We demonstrate the existence of an empirical linkage between nominal financial networks and the underlying economic fundamentals, across countries. We construct the nominal return correlation networks from daily data to encapsulate sector-level dynamics and infer the relative importance of the sectors in the nominal network through measures of centrality and clustering algorithms. Eigenvector centrality robustly identifies the backbone of the minimum spanning tree defined on the return networks as well as the primary cluster in the multidimensional scaling map. We show that the sectors that are relatively large in size, defined with three metrics, viz., market capitalization, revenue and number of employees, constitute the core of the return networks, whereas the periphery is mostly populated by relatively smaller sectors. Therefore, sector-level nominal return dynamics are anchored to the real size effect, which ultimately shapes the optimal portfolios for risk management. Our results are reasonably robust across 27 countries of varying degrees of prosperity and across periods of market turbulence (2008–09) as well as periods of relative calmness (2012–13 and 2015–16).

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Journal Articles | 2017

Emergence of anti-coordination through reinforcement learning in generalized minority games

Anindya S. Chakrabarti and Diptesh Ghosh

Journal of Economic Interaction and Coordination

In this paper we propose adaptive strategies to solve coordination failures in a prototype generalized minority game model with a multi-agent, multi-choice environment. We illustrate the model with an application to large scale distributed processing systems with a large number of agents and servers. In our set up, agents are assigned responsibility to complete tasks that require unit time. They request servers to process these tasks. Servers can process only one task at a time. Agents have to choose servers independently and simultaneously, and have access to the outcomes of their own past requests only. Coordination failure occurs if more than one agent simultaneously requests the same server to process tasks at the same time, while other servers remain idle. Since agents are independent, this leads to multiple coordination failures. In this paper, we propose strategies based on reinforcement learning that minimize such coordination failures. We also prove a null result that a large category of probabilistic strategies which attempts to combine information about other agents’ strategies, asymptotically converge to uniformly random choices over the servers.

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Journal Articles | 2017

Investigating a An evolutionary analysis of growth and fluctuations with negative externalities

Anindya S. Chakrabarti and Ratul Lakhar

Dynamic Games and Applications

We present an evolutionary game theoretic model of growth and fluctuations with negative externalities. Agents in a population choose the level of input. Total output is a function of aggregate input and a productivity parameter. The model, which is equivalent to a tragedy of the commons, constitutes an aggregative potential game with negative externalities. Aggregate input at the Nash equilibrium is inefficiently high causing aggregate payoff to be suboptimally low. Simulations with the logit dynamic reveal that while the aggregate input increases monotonically from an initial low level, aggregate payoff may decline from the corresponding high level. Hence, a positive technology shock causes a rapid initial increase in aggregate payoff, which is unsustainable as agents increase aggregate input to the inefficient equilibrium level. Aggregate payoff, therefore, declines subsequently. A sequence of exogenous shocks, therefore, generates a sustained pattern of growth and fluctuations in aggregate payoff.

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Journal Articles | 2017

Emergence of distributed coordination in Kolkata Paise Restaurant problem with finite information

Diptesh Ghosh and Anindya S. Chakrabarti

Physica: Statistical Mechanics and its Applications

In this paper, we study a large-scale distributed coordination problem and propose efficient adaptive strategies to solve the problem. The basic problem is to allocate finite number of resources to individual agents in the absence of a central planner such that there is as little congestion as possible and the fraction of unutilized resources is reduced as far as possible. In the absence of a central planner and global information, agents can employ adaptive strategies that uses only a finite knowledge about the competitors. In this paper, we show that a combination of finite information sets and reinforcement learning can increase the utilization fraction of resources substantially.

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Journal Articles | 2017

Exploring themes, trends, and frameworks: A meta-analysis of online business education research

Shailendra Palvia, Anil Kumar, Poonam Kumar, and Sanjay Verma

Americas Conference on Information Systems

The growth of online education has become a global phenomenon driven by emergence of new technologies, widespread adoption of the Internet, and intensifying demand for a skilled workforce for a digital economy. Online education is no longer a trend; it is slowly but surely becoming mainstream by 2025. This paper explores all efforts, accomplishments, issues, challenges, conclusions, and recommendations on this theme through meta-analysis of over 100 published papers since 2000. Through thorough content analysis, we provide useful recommendations for researchers and practitioners working in academia, industry, or government. We also propose a holistic model of interactions between diverse entities and stakeholders in the online tertiary business discipline education industry. This model will certainly be applicable with minor changes to other disciplines and other levels of education—primary and secondary. This model can be tested in piecemeal fashion by researchers using appropriate research methodology.

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Journal Articles | 2017

Groups and teams: A review of bad apple behavior

Saravana Jaikumar and Avina Mendonca

Team Performance Management: An International Journal

Purpose

The purpose of this conceptual paper is to broaden the understanding of the three negative member (bad apple) behaviors – withholding of effort, interpersonal deviance and negative affect – put forth by Felps et al. (2006).

Design/methodology/approach

An integrative review of extant literature was conducted to understand the impact of the negative member behaviors on other team members. Potential interventions to control this bad apple behavior are identified with supporting evidence from recent empirical studies.

Findings

A review of empirical findings in the literature indicate that perceived coworker loafing may lead to counterproductive work behavior toward coworkers and interpersonal deviance may affect the task cohesion of the group. However, the presence of affectively negative individuals is empirically proven to improve the group performance, especially when the group task is related to creativity or information processing (decision-making and idea generation).

Originality/value

Despite the empirical attention paid to “bad apple” behaviors, the implications for managing negative member behaviors are unclear and scattered. In this paper, building on the framework proposed by Felps et al. (2006), the authors focus on three behaviors and provide a concise review of literature and interventions to control or exploit these behaviors.

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