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

In this paper, we examine a supply chain consisting of a manufacturer and retailer where the manufacturer undertakes greening efforts in terms of pack-size reduction and transportation cost reduction. The retailer decides on shelf-space allocation for the product. Both the players benefit from the greening efforts of the manufacturer. In such a setting, we examine strategic decisions of the players and compare and contrast the performance of the decentralised supply chain with the centralised supply chain. We also examine the effect of collaborative mechanisms by modelling two contracts in which the retailer offers a transportation cost reduction effort based contract and a two-part tariff contract. We find that the decentralised supply chain leads to lower greening efforts and shelf-space allocation decisions. We also find that the contracts improve pack-size reduction effort, transportation cost reduction effort and shelf-space allocation, while also improving the profitability of individual players. The findings demonstrate a scope for supply chain collaboration between manufacturer–retailer pairs in this setting. The paper uniquely combines three critical elements in supply chains, namely, product design, transportation and retailing decisions, and aims to provide insights into the decision making of players considering environmental waste and pollution. The paper also reflects consumer behavior and trade-offs that the supply chain players face. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

World University root node

International Journal of Production Research

Integrated product design, shelf-space allocation and transportation decisions in green supply chains

The TQM Journal

A response to “A research note on the article of ‘Quality framework in education through application of interpretive structural modeling'”

Marketing companies explore several strategies with a fundamental goal of increasing sales; one such popular emerging strategy is Social Media Marketing. People are more likely to adopt a product recommended received from their acquaintances or based on product reviews. In this regard, a mixed influence model is used for studying the effect of comments on a product post. Also, a Greedy discounting technique targeting potential customers with an objective to maximize revenue as well as increase the social contagion. Here, we aim to increase the influence on people by offering the product for free to potential buyers who are capable of influencing more people and then the product is offered at increasing price, i.e., decreasing discount rates and increasing the revenue as well as the growth of the influence among customers’ acquaintances. Computational experiments are conducted on real-world networks representing different scenarios with varying complexities and tested the effectiveness of these algorithms. © 2019 Elsevier Ltd

International Journal of Information Management

Estimation and maximization of user influence in social networks

The Intelligence Quotient (IQ) tests and the corresponding psychometric explanations dominate both the scientific and popular views about human intelligence. Though the IQ tests have been in currency for long, there exists a gap in what they are believed to measure and what they do. While the IQ tests index the quality of cognitive functioning in selected domains of mental repertoire, the applied settings often inflate their predictive value leading to an interpretive gap. The present article contends that studying the influence of motivational and affective processes on cognitive functioning would help to evolve a more psychologically comprehensive account of the IQ tests and bridge the interpretive gap. To conclude, the article suggests possible future research directions that could strengthen the predictive value of the IQ tests. © Copyright © 2019 Ganuthula and Sinha.

Fulltext

Frontiers in Psychology

The Looking Glass for Intelligence Quotient Tests: The Interplay of Motivation, Cognitive Functioning, and Affect

Using account-level transaction data at a major financial institution, we predict the incidence of suspicious activity that can be related to the external financial fraud of its elderly clients. The data consists of over 5 million accounts of clients aged 70 years and older, and over 250 million transactions extending from January 2015 to August 2016. Our main focus is to improve the detection of alerts within a proprietorial transaction monitoring system. Using logistic regression, random forest and support vector machine learning techniques, together with corrections for imbalanced alert samples, we provide a new alert model for the protection of elderly clients at a financial institution, with out-of-sample predictive accuracy. Our findings show the relative influence of client traits and account activity in our select external fraud alert models. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

European Journal of Finance

Can alert models for fraud protect the elderly clients of a financial institution?

Purpose: This paper aims to investigate whether improvement in human capital can foster energy conservation by reducing the energy consumption in India using annual data from 1980 to 2014. Further, this study examines the relationship between human capital and various forms of energy consumption such as electricity, coal, natural gas, hydrocarbon gas and petroleum consumption. Design/methodology/approach: To attain the objective, the study investigates this relation through the auto-regressive distributed lag model (ARDL) technique to find a long-run and short-run relationship. Second, to check the robustness of the results, the authors use alternative econometric methods such as dynamic ordinary least squares and fully modified dynamic ordinary least squares. Findings: The results reveal a negative relationship between human capital and energy consumption, which implies that improvement in human capital lowers the energy consumption and various forms energy consumption, except for petroleum consumption. The results derived from ARDL show that there exists a long-run and short-run association between human capital and energy consumption. The results are consistent across the econometric techniques. Practical implications: Because G20 countries including India aim at reducing carbon emission to a certain level, this study provides an insight that by emphasizing on human capital, India can reduce energy consumption, which would foster energy conservation. Originality/value: To the best of the authors’ knowledge, this the first study in India which attempts to examine the effect of human capital on energy consumption and its various forms. © 2018, Emerald Publishing Limited.

International Journal of Energy Sector Management

Does human capital matter for reduction in energy consumption in India?

We investigate consumer price convergence for 82 Indonesian cities using monthly data from 2014 to 2019. To do so, we employ recent techniques of club convergence and weak sigma convergence. The results reveal, first, consumer price divergence, implying price rigidities across the cities. Second, we find four clubs, suggesting that Indonesian cities converge along four unique transition paths. Third, we find weak evidence of consumer price convergence, suggesting that prices among Indonesian cities adjust, but not freely. Policy should therefore consider unique convergence paths for each club to promote stronger consumer price convergence. Copyright © 2019 Bank Indonesia Institute.

Buletin Ekonomi Moneter dan Perbankan

Do prices converge among Indonesian cities? An empirical analysis

Hyperspectral sensors are envisioned to acquire hundreds of images within narrow contiguous bands to characterize materials on the Earth. Many unknown materials are uncovered by the very high spectral resolution data. The virtual dimensionality (VD), originally developed by Chein-I Chang (2004), estimates the number of spectrally distinct materials in the sensed data. Subsequently, several approaches have been proposed wherein the VD is estimated by the Neyman-Pearson detection theory based eigen thresholding method. However, the methods are subjected to inflated Type I error as binary hypothesis tests are carried out separately on each band image (without controlling the overall Type I error). It may lead to false identification of the VD. In this paper, we propose a multiple-hypothesis based statistical approach while modifying p-values for the number of hypothesis tests carried out in order to overcome this issue. We propose to apply Ben-jamini and Hochberg procedure to control the false discovery rate (overall Type I error rate) and hence improve the VD estimation. It is a sequential Bonferroni type procedure which controls the expected proportion of falsely rejected null hypotheses or the false discovery rate. We evaluate the performance of the proposed approach by experimenting on synthetic hyperspectral data at different noise levels and on three real benchmark data sets. © 2019 IEEE.

IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium {\ldots}

A statistical approach to improve virtual dimensionality of hyperspectral data

Purpose: Google commands approximately 70 per cent of search market share worldwide, resulting in businesses investing heavily in search engine advertising on Google to target potential customers. Recently, Google changed the way in which content and ads were displayed on the search engine results page. This reshuffling of content and ads is expected to affect the advertisers who advertise on Google and/or use it to drive traffic to their websites. The purpose of this study is to analyze the impact of these changes on various stakeholders. Design/methodology/approach: Data have been collected from various sources on the internet including blogs and discussion forums. Netnography has been used as it allows a detailed evaluation of the consumers’ needs, wants and choices in a virtual space. Findings: The average cost-per-click for ads on the top positions is expected to increase. Advertisers whose ads usually occupy the lower positions would be adversely affected. To counter this, more emphasis should be placed on ad extensions and on product listing ads. In addition, organizations would benefit from increased efforts on search engine optimization. Practical implications: A variety of coping strategies have been developed that can help marketers to successfully navigate through the change, including the use of ad extensions and the use of product listing ads. Originality/value: This practice-focused paper offers guidelines for digital marketers to use sponsored search more effectively as part of their arsenal in light of some important changes recently made by Google. The potential of netnography as a research methodology has also been expanded by using it in a novel setting and in drawing up actionable insights. © 2018, Emerald Publishing Limited.

Journal of Information, Communication and Ethics in Society

Making sense of the changing face of Google’s search engine results page: an advertiser’s perspective

This study attempts to compare ‘the ethical value positioning’ of students of Business and Management studies from India and Germany. A complete enumerative survey was conducted for management students using the Ethical Positioning Questionnaire (EPQ) of Forsyth (1980). There were 134 respondents from India and 57 from Germany. The objective was to confer the differences in ethical positioning of students of two economically and culturally diverse nations. By the end of the research, it was constituted that both German and Indian students demonstrate a high degree of Idealism and Relativism and can be qualified as situationists. Exploratory analysis of the responses resulted in extraction of four factors (values): Non-Violence, Individualism, Non-Consequential, and Situational value. Within the analysis, Indian students displayed a higher preference for Individualism compared to their German counterparts. This study contributes to the literature in cross-cultural ethical value positioning of young managers. This study also opens a window for future research in the factors such as educational qualification, closed social groupings, and background of the students. © 2018, Springer Science+Business Media B.V., part of Springer Nature.