School of Management & Entrepreneurship

&ldquo;IIT Jodhpur is committed to impart quality education to facilitate the creation of qualified, competent and responsible human resources to meet the emerging technological challenges of the world. It is working towards creating an equitable learning platform that is positive, accessible and effective in the face of the modern societal and scientific advancements.

Flexibility in curriculum, in all its academic programs, encompassing elements of teaching, research, creativity, innovation and entrepreneurship is the most unique feature of IIT Jodhpur. The Department of Science and Technology (DST), under the National Mission on Cyber Physical Systems, has identified IIT Jodhpur as a Technology &amp; Innovation Hub in the area of Augmented Reality and Virtual Reality. The institute has also been nominated as the coordinator for the Jodhpur City and Knowledge Cluster by the Office of Principal Scientific Adviser, Government of India.

The sprawling 852-acre IIT Jodhpur campus is a majestic tribute to the deep-rooted diverse cultural heritage of the region. The campus is an architectural masterpiece, which is slated to become an international exemplar of sustainability with net-zero energy, and advanced water and waste management strategies.&rdquo;

IIT Jodhpur

World University root node

Australasian Journal of Information Systems

The Evolving Nature of Information Systems Controls in Healthcare Organisations

Purpose: The present piece of research aims at enhancing our understanding of situational and intentional showrooming behaviour. The study further tests and validates a model based on the stimulus–organism–response framework to draw richer insights. Design/methodology/approach: The study adopts a two-phased approach to discover the consumers' rationale behind showrooming. In the first phase, a narrative-based examination followed by an inductive thematic analysis was employed. In the second phase, the stimulus–organism–response model was validated through structural equation modelling method. Findings: The results of the study highlighted the factors that contribute to intentional and situational showrooming behaviour. Results show that consumers also showroom on account of situational circumstances such as assortment issues, poor sales-staff assistance and long payment queues at offline stores. However, intentional showroomers are primarily driven by perceived showrooming value which emerges as a combination of in-store search value and online purchase value. Past showrooming experience also plays a role in stimulating consumers to showroom. The results also revealed the moderating impact of product involvement and perceived product type, barring time pressure. The impact of showrooming self-efficacy was also observed. Research limitations/implications: The study majorly validates the factors stimulating intentional showrooming conduct intertwined with product-related factors, time pressure and showrooming self-efficacy. Hence, the future scope of the study lies in quantitatively validating the findings concerning situational showroomers as this would help draw richer insights. Practical implications: The findings of the study can be utilized by both offline and online retailers for managing showroomers. Originality/value: The study offers rich insights on showrooming which has been identified as a major challenge being faced by offline retailers nowadays. © 2020, Emerald Publishing Limited.

International Journal of Retail \& Distribution Management

Understanding consumers' showrooming behaviour: a stimulus–organism–response (SOR) perspective

Meditation applications for smartphones have been steadily growing in popularity. During the current Coronavirus pandemic, usership of various meditation apps has grown to reach record levels. This study explores the motivations for and barriers to adoption and usage of meditation apps during times of crisis. The study is based on qualitative, semi-structured interviews conducted with seventeen participants. The interviews were audio recorded, transcribed verbatim, and coded using the NVivo software. Inductive thematic analysis identifies five themes: job-related factors, changing lifestyles, psychological conditions and worries, perceived outcomes, and price. All themes except for pricing were found to be motivators for use, while price was deemed a barrier to use. The themes align with the constructs from the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Diffusion of Innovation (DOI) Theory, providing some useful guidance to meditation app providers. © 2020 International Consortium for Electronic Business. All rights reserved.

Proceedings of The 20th International Conference on Electronic Business {\ldots}

Calm my headspace: Motivations and barriers for adoption and usage of meditation apps during times of crisis

Billing fraud by health care providers is a widespread problem to a country’s health care system. This article develops a general theory for estimating the billing error in medical claims within pre-specified error bound using auxiliary information on the average payment amount made by all persons in the population. Estimation methods with pre-specified sample size cannot be used to achieve the fixed-width confidence interval for billing error. In this article we propose two two-stage procedures for accuracy in estimating billing error in medical claims using sample standard deviation and sample Gini’s mean difference as estimators of population standard deviation. This problem is the same as constructing a fixed-width confidence interval for billing error. In two-stage estimation procedures, the final sample size is not fixed in advance by using supposed unknown population parameter(s). Data in two-stage procedures are collected in two stages in which the final sample size is based on the estimate of the unknown parameter(s) in the first stage. The comparison of the proposed two-stage procedures are examined using a Monte Carlo simulation study. © 2020 South African Statistical Association

South African Statistical Journal

Accuracy in insurance billing error estimation using auxiliary information

Smartphones have become the colossal point of attention for both individuals and businesses worldwide resulting into a whole level of new and innovative experience in mobile computing. Mobile applications (mobile app) is an upshot of such innovative mobile computing and produces a noticeable change in the way humans feel and experience. Each and every mobile app has a rating attached to it on App store, which measures the overall feedback of users for a particular mobile app. The present research develops a theoretical research model as a framework to identify the key decision factors influencing Indian users to rate mobile banking apps. A mix method approach consisting of qualitative interviews and a self-administered survey was used to gather information from 343 respondents in Delhi, India. The empirical analysis identifies and ranks six important decision factors: Login time, visual design, navigational design, information design, collaboration and service quality, influencing the ratings of a mobile app. This study is one of the very few that has attempted to investigate the relationship between mobile app attributes and user ratings for retail banks and for providing new insights into mobile app attributes of retail banks and their effects on user ratings. © 2020 Universidad de Talca - Chile.

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Journal of Theoretical and Applied Electronic Commerce Research

How to Boost your app Store Rating? An Empirical Assessment of Ratings for Mobile Banking Apps

This paper investigates the impact urbanization, industrialization, corruption, human development, energy consumption, and foreign direct investment (FDI) on carbon dioxide (CO2) emissions of 61 developing economies of the global south region of Asia, Africa, and Latin America during the period 1990–2015. The empirical results show that the effect of corruption on CO2 emissions is indeed heterogeneous and contradictory. Specifically, results exhibit that due to immature economic system, and policy paralysis, corruption penetrates the developing economies, and eventually cause carbon emission and pollution. Furthermore, results reveal that FDI guided by clean development mechanism and involved in emission reduction projects in the developing economies play a predominant role to curb the CO2 emission, pollution, and environmental degradation. © 2020, © 2020 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.

Cogent Economics and Finance

Governance, urbanization, and pollution: A cross-country analysis of global south region

Using firm-level data from 7165 firms from Indian manufacturing, this paper explores the effects of firm age and size on its inclination to invest in research and development (R&D). The paper addresses the inadequately answered question on the choice between in-house R&D and technology purchase from foreign firms. To the best of author's knowledge, this is the first study to examine the impact of age, size and technology transfer on firm's inclination to invest in R&D for the manufacturing sector in India. Our results suggest that young firms are more likely to invest in R&D. A firm's exports further increase its propensity towards R&D. Contrary to the previous results, we show that young and small firms possibly use in-house R&D as a complementary input with purchased foreign technology. Thereafter, policy prescriptions are drawn. © 2021 World Scientific Publishing Company.

Singapore Economic Review

R&amp;D in indian manufacturing firms: Effects of age, size &amp; technology transfer

Learning outcomes: The case discussion will help the participants figure out ways the entrepreneur could handle problems such as labour shortage, demonetisation and customer retention and find possible strategies to overcome them. Case overview/synopsis: MVR Leathers is a small-scale leather-processing unit located in Chennai. MVR was the brainchild of Venkat Raj, who started his career in 1982 as a casual labourer in an unrelated domain. His unwavering persistence helped him to become an independent entrepreneur by 2008. In achieving his dream to become an entrepreneur, Raj encountered many challenges and an equal number of new opportunities. Each time he faced a challenge, he met a new set of people who helped him. However, at times, the same people who had helped him once might throw him out of the scene. In brief, his struggle is never-ending. He keeps fighting to come back and find new avenues to success. A different set of challenges surfaced as he took charge of his firm as a sole owner. Once again, he countered those challenges with courage and grit. In doing so, he made full use of his experience. Complexity academic level: The case can be used for discussions at the executive, postgraduate and undergraduate levels. Academic courses that address topics such as entrepreneurship, entrepreneurs, small-firm strategies, business environments, leather industry, leadership, human resource management and entrepreneurial journeys can use the case for classroom learning. Supplementary materials: Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes. Subject code: CSS 3: Entrepreneurship. © 2020, Emerald Publishing Limited.

Emerald Emerging Markets Case Studies

Making of an entrepreneur: a journey with leather – MVR Leathers

Estimating the number of materials present in a scene is the fundamental step in many hyperspectral remote sensing applications. The virtual dimensionality (VD) estimates the number of spectrally distinct materials in the hyperspectral data. The VD is generally considered as the number of signal sources under binary hypothesis, based on the Neyman-Pearson detection criteria. We observe that the hypothesis testing procedure used in many approaches is prone to inflated Type-I (false positive) error. This is due to carrying out the binary hypothesis test individually on each band image, i.e., more than 200 images in hyperspectral data. In this article, we propose multiple hypothesis testing to control the expected proportion of falsely rejected null hypotheses, i.e., false discovery rate (FDR), and in turn, improve the probability of better performance in estimating the VD. To this end, we employ Benjamini and Hochberg procedure that controls the FDR. We provide multiple hypothesis testing-based algorithms to estimate VD wherein the hypothesis can be formulated according to eigenanalysis, the target specified by statistical approach, and by geometric analysis. The efficacies of the proposed algorithms are evaluated by estimating the number of endmembers for the spectral unmixing application. We conduct experiments on four synthetic hyperspectral data sets at different noise levels as well as on two well-known real hyperspectral datasets. Time complexity and execution time are discussed to study the algorithmic aspects while sensitivity analyses of parameters are carried out for better performance analysis of the proposed approach. We found that the use of multiple hypothesis testing improves estimation of number of endmembers in hyperspectral data. © 2008-2012 IEEE.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote {\ldots}

Virtual dimensionality of hyperspectral data: Use of multiple hypothesis testing for controlling Type-I error

Developing countries require organizations engaged in making Appropriate technologies which address the development of rural community. The Rural Technology Action Group (RuTAG) located inside Indian Institute of Technology (IIT) Delhi is one of the pioneer organizations which synergies the collaborative efforts of government, academia and Non-Government Organizations(NGOs) for research, development and dissemination of appropriate technologies in India. It is essential to understand the organizational aspects of RuTAG for better technology management. The novelty of this study lies in exploring the organizational aspects of RuTAG for technology development and management using a systems theory approach. Data presented in this study is based on primary and secondary sources. The different organizational elements of RuTAG has been demonstrated and explained for deeper understanding. The findings from the study analyses technology development from an organizational perspective with theoretical and practical implications. © 2020 IEEE.