Research Productive

Show result

Search Query :
Area :
Search Query :
3567 items in total found

Journal Articles | 2018

Theoretical comparisons of estimators of finite population proportion under simple random sampling. Stastistics and Applications

Sumanta Adhya, and Tathagata Banerjee

Statistics and Applications

We consider the classical survey problem of estimation of finite population proportions based on a polychotomous response variable when data on an auxiliary variable is known for all units in the finite population. Under simple random sampling different model and design-based estimators are compared theoretically and it is shown that model-based estimator performs more efficiently under mild conditions.

Read More

Journal Articles | 2018

The Aadhaar Debate: Where are the sociologists?

Reetika Khera

Contribution to Indian Sociology

The Aadhaar project which aims to provide all residents in India with a unique identity number requires much more attention from sociologists of India. There are several areas of research where sociologists can help: one, the implications of new technologies of surveillance for (a) privacy and (b) society; two, the repercussions of the desire for social ordering and control and technocratic solutionism for people in their interactions with the state demands fuller sociological study. This brief note attempts to outline some of the issues that call out for enquiry.

Read More

Journal Articles | 2018

Are you a cistern or a channel? Exploring factors triggering knowledge-hiding behaviour at the workplace: Evidence from the Indian R&D professionals

Jatinder Kumar Jha and Biju Varkkey

Journal of Knowledge Management

Purpose

Knowledge is considered as a strategic asset for the organizations, especially for knowledgeintensive firms. Research and development (R&D) is a significant unit in organizations, as it is devoted to knowledge creation and transfer. The success of any R&D project in an organization depends on its innovative value and the transfer of knowledge to the employees. This study aims to focus on factors triggering knowledge-hiding behavior among R&D employees, thus disrupting the knowledge creation in the organization.

Design/methodology/approach

The grounded theory approach has been used to analyze qualitative data collected from 19 in-depth interviews of R&D professionals (middle and junior level) working in Indian pharmaceutical firms.

Findings

The study identified factors that triggered knowledge-hiding behavior among employees. These factors include distrust, competitive work environment, perceived career insecurity, lack of recognition, lack of reciprocation and lack of confidence in own knowledge. In addition, four hiding strategies used by employees to hide their knowledge from their fellow members were explored and identified: playing innocent, being misleader/evasive hiding, rationalized hiding and counterquestioning.

Research limitations/implications 

Besides improving the understanding of knowledge-hiding behavior, particularly in the Indian context, this study has implications for both managerial practices and organizational policies.

Originality/value 

This paper highlights the factors influencing knowledge-hiding behavior among R&D employees. Knowledge-hiding construct has not been adequately studied; however, it prevails in the organization and has potential to influence various individual- and organizational-level outcomes. In addition, ways of hiding knowledge used by employees were identified and new forms of strategies named “counter-questioning” were found.

Read More

Journal Articles | 2018

Worth the wait? How restaurant waiting time influences customer Behaviour and revenue

Jelle De Vries, Debjit Roy, and Rene De Koster

Journal of Operations management

In many service industries, customers have to wait for service. When customers have a choice, this waiting may influence their service experience, sojourn time, and ultimately spending, reneging, and return behavior. Not much is known however, about the system-wide impact of waiting on customer behavior and resulting revenue. In this paper, we empirically investigate this by analyzing data obtained from 94,404 customers visiting a popular Indian restaurant during a 12 month period. The results show that a longer waiting time relates to reneging behavior, a longer time until a customer returns, and a shorter dining duration. To find out the impact of the consequences of waiting time, we use the empirical findings and data collected in a simulation experiment. This experiment shows that, without waiting, the total revenue generated by the restaurant would increase by nearly 15% compared to the current situation. Stimulating customers to reserve could enable restaurants to reap part of this benefit. Furthermore, the results of simulation experiments suggest that, within the boundaries of the current capacity, revenue could be increased by a maximum of 7.5% if more flexible rules were used to allocate customers to tables. Alternatively, by increasing the existing seating capacity by 20%, revenue could be boosted by 7.7% without the need to attract additional customers. Our findings extend the knowledge on the consequences of customer waiting, and enable service providers to better understand the financial and operational impact of waiting-related decisions in service settings.

Read More

Journal Articles | 2018

A statistical model for helices with applications

Kanti V. Mardia, Karthik Sriram, and Charlotte M. Deane

Biometrics

Motivated by a cutting edge problem related to the shape of α-helices in proteins, we formulate a parametric statistical model, which incorporates the cylindrical nature of the helix. Our focus is to detect a “kink,” which is a drastic change in the axial direction of the helix. We propose a statistical model for the straight α-helix and derive the maximum likelihood estimation procedure. The cylinder is an accepted geometric model for α-helices, but our statistical formulation, for the first time, quantifies the uncertainty in atom positions around the cylinder. We propose a change point technique “Kink-Detector” to detect a kink location along the helix. Unlike classical change point problems, the change in direction of a helix depends on a simultaneous shift of multiple data points rather than a single data point, and is less straightforward. Our biological building block is crowdsourced data on straight and kinked helices; which has set a gold standard. We use this data to identify salient features to construct Kink-detector, test its performance and gain some insights. We find the performance of Kink-detector comparable to its computational competitor called “Kink-Finder.” We highlight that identification of kinks by visual assessment can have limitations and Kink-detector may help in such cases. Further, an analysis of crowdsourced curved α-helices finds that Kink-detector is also effective in detecting moderate changes in axial directions.

Read More

Books | 2018

India moving: A history of migration

Chinmay Tumbe

Penguin Viking

Books | 2018

Contract terms are common sense

Akhileshwar Pathak

Penguin Random House India

Books | 2018

Dissent on Aadhaar: Big data meets big brother

Reetika Khera

Orient Black Swan

Books | 2018

Land use change trends of Indian cities- A bird's eye view: Vulnerabilities of unplanned urban growth

Amit Garg, Vidhee Avashia and Shrutika Parihar

Sage

Books | 2018

Indian perspectives on workplace bullying: A Decade of Insights

Premilla D'Cruz, Ernesto Noronha, Avina Mendonza and Nidhi Mishra

Springer