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3890 items in total found

Journal Articles | 2018

Energy balance of Indian villages: A case study of seven villages

Amit Garg, Jaypalsinh Chauhan, and Abha Chhabra

Journal of Operation and Strategic Planning

This paper estimates the rural energy balance of 7 Indian villages of different agro-climate zones. This was done through primary survey of households in each village covering energy consumption, production, export, import and stock change across Crop, Livestock, Industry/Trade, Tree outside forest/plantations and Residential Sector. An energy flow model was created to capture all the various energy flows at household levels. Two villages are showing Negative annual energy balance—one is the desert village of Gujarat state and another is a tribal village of Mizoram state. All other villages were found to be energy positive mainly due to high forest density and high crop yields.

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Journal Articles | 2018

Investigating the impact of workforce racial diversity on the organizational corporate social responsibility performance: An institutional logics perspective

Amalesh Sharma, Aditya Christopher Moses, Sourav Bikash Borah, and Anirban Adhikary

Journal of Business Research

Racial diversity is considered an integral part of the business world. The extant literature has focused on the effect of racial diversity on a firm's financial performance and presented mixed findings. Building on the institutional logics lens and using a sample of 204 firms belonging to 9 industries and spread across 21 countries for a period of six years, we explore the impact of workforce racial diversity on the Corporate Social Responsibility Performance (CSRP) of a firm. In addition, we also investigate the contingency effects of a firm's absorptive capacity and slack resources on the proposed relationship. Using a seemingly unrelated regression model and accounting for endogeneity, we find that racial diversity has an inverted U-shaped relationship with a firm's financial and social performance and has a U-shaped relationship with its environmental performance. We also find significant moderating effects. Thus, we contribute to the theory and practice in the field.

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Journal Articles | 2018

Managing children's internet advertising experiences: Parental preferences for regulation

Akshaya Vijayalakshmi Meng‐Hsien (Jenny) Lin and Russell N. Laczniak

Journal of Consumer Affairs

Recent research suggests that children are spending a significant amount of time on the Internet which increases their exposure to subtle, engaging, and interactive ads. As a result, policy makers have developed regulations intended to empower parents to manage their children's exposure to Internet advertising. However, prior research has not examined parental perceptions of these regulations. This article aims to identify (1) parents' regulatory preferences regarding children's exposure to Internet advertising and (2) whether (and how) parents' locus of control (LOC) drives their regulation preferences. Findings reveal that internal-LOC parents prefer parental responsibility while external-LOC parents prefer government regulations, parental responsibility, and involvement of independent organizations and firms. External-LOC parents' preference is mediated by their concerns about Internet advertising and their tendency to have faith in regulation. Policy makers can use the findings to develop guidelines that better assist parents in influencing their children's Internet use.

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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.

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Journal Articles | 2018

'I show off, so I am well off': Subjective economic well-being and conspicuous consumption in an emerging economy

Saravana Jaikumar, Ramendra Singh, and Ankur Sarin

Journal of Business Research

Conspicuous consumption may be explained by the need to signal higher social status in a society. However, whether this consumption actually translates to improved perception of well-being remains unexamined. In the emerging economy context, we argue that conspicuous consumption may play the role of elevating one's own perception of economic well-being. Further we hypothesize the effect to be higher for the households in the ‘bottom of the pyramid’ (BOP). Using data from a panel of 34,621 households from India Human Development Surveys (2004 and 2011), we examine the relationship between conspicuous consumption and subjective economic well-being (SEWB) using several empirical strategies. Results support our hypotheses that higher conspicuous consumption may result in improved SEWB and that the effect is higher for households in the BOP. Our findings contribute to the domain of conspicuous consumption and BOP in emerging markets. Further, our results have significant marketing and policy implications.

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Journal Articles | 2018

Energy system transitions and macroeconomic assessment of the Indian building sector

Saritha S. Vishwanathan, Panagiotis Fragkos, Kostas Fragkiadakis, Leonidas Paroussos, and Amit Garg

Building Research & Information

India’s energy sector has grown rapidly in recent years with buildings playing a major role as they constitute about 40% of India’s final energy demand. This paper provides a quantitative model-based assessment of the evolution of India’s building sector in terms of both energy systems transition and its macroeconomic implications. The coupling of a bottom-up technology-rich energy system model with a macroeconomic computable general equilibrium (CGE) model provides an innovative approach for the in-depth robust analysis of the energy transition in India’s building stock and the induced macroeconomic and employment impacts on the Indian economy. Two main scenarios are explored, namely: the business-as-usual (BAU) and the advanced nationally determined contribution (Adv. NDC) scenarios. The investigation shows that efficiency improvements are vital to counteract the upward pressure on energy demand in the building sector. Energy demand in the building sector results in an increase of CO2 emissions by 27% between 2015 and 2030 due to the technology transition from inefficient solid fuels (traditional biomass) to cleaner energy (liquefied petroleum gas (LPG), piped natural gas (PNG)) before shifting to electricity. The Adv. NDC scenario also leads to a shift in employment from agriculture and towards sectors that benefit from the implementation of Adv. NDC, especially in the construction sectors, electricity and manufacturing sectors.

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Journal Articles | 2018

Proactive vs. reactive order-fulfillment resource allocation for sea-based logistics

Seyed Shahab Mofidi, Jennifer A. Pazour, and Debjit Roy

Transportation Research Part E: Logistics and Transportation Review

We study proactive and reactive sea-based order-fulfillment decisions for a set of SKUs. In such systems, a proactive strategy may be more costly than a reactive strategy and variable marginal costs change with respect to an activity profile. We derive the optimal sets of SKUs and their quantities to handle prior (proactive strategy) or after (reactive strategy) demand materializes. Counterintuitive results show the proactive set may not necessarily include the high-demanded SKUs. This work extends the newsvendor model by analyzing negative marginal shortage costs. The model is illustrated with historical data from a sea-based logistics military application.

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Journal Articles | 2018

Qasab: Kutch Craftswomen's Producer Co. Ltd.

Shweta Mittal, Vishal Gupta, and Manoj Motiani

Asian Case Research Journal

This case was prepared by Assistant Professor Shweta Mittal of Institute of Management & Research, Ghaziabad, India, Associate Professor Vishal Gupta of Indian Institute of Management Ahmedabad, India and Assistant Professor Manoj Motiani of Indian Institute of Management Indore, India, as a basis for classroom discussion rather than to illustrate either effective or ineffective handling of an administrative or business situation.

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Journal Articles | 2018

Informed trading around earnings announcements Spot, futures, or options?

Sobhesh Kumar Agarwalla, Jayanth R. Varma, and Ajay Pandey

Journal of Futures Markets

Recent literature reports higher single stock options (SSO) volume before earnings announcements (EA). There are no studies that explore single stock futures (SSF) in this context because of illiquid SSF markets in developed countries. Similar to SSO, SSF provide embedded leverage and facilitate short selling although at a lower cost, but do not provide downside-risk protection. India’s liquid SSO and SSF provide a unique setting to study the preference of informed traders. We observe an increase in both SSO and SSF volume before EA. Further, SSF dominate SSO possibly due to SSO becoming expensive before EA and higher information leakage in India.

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Journal Articles | 2018

Efficient mining of high utility itemsets with multiple minimum utility thresholds

Srikumar Krishnamoorthy

Engineering Applications of Artificial Intelligence

Mining high utility itemsets is considered to be one of the important and challenging problems in the data mining literature. The problem offers greater flexibility to a decision maker in using item utilities such as profits and margins to mine interesting and actionable patterns from databases. Most of the current works in the literature, however, apply a single minimum utility threshold value and fail to consider disparities in item characteristics. This paper proposes an efficient method (MHUI) to mine high utility itemsets with multiple minimum utility threshold values. The presented method generates high utility itemsets in a single phase without an expensive intermediate candidate generation process. It introduces the concept of suffix minimum utility and presents generalized pruning strategies for efficiently mining high utility itemsets. The performance of the algorithm is evaluated against the state-of-the-art methods (HUI-MMU-TE and HIMU-EUCP) on eight benchmark datasets. The experimental results show that the proposed method delivers two to three orders of magnitude execution time improvement over the HUI-MMU-TE method. In addition, MHUI delivers one to two orders of magnitude execution time improvement over the HIMU-EUCP method, especially on moderately long and dense benchmark datasets. The memory requirements of the proposed algorithm was also found to be significantly lower.

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