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Institution

Indian Institute of Management Ahmedabad

EducationAhmedabad, India
About: Indian Institute of Management Ahmedabad is a education organization based out in Ahmedabad, India. It is known for research contribution in the topics: Context (language use) & Emerging markets. The organization has 1828 authors who have published 4011 publications receiving 59269 citations. The organization is also known as: IIMA & IIM Ahmedabad.


Papers
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Journal ArticleDOI
TL;DR: This article provided an overview of the scholastic literature on cause-related marketing during the period 1988-2016, identifying significant knowledge gaps and identifying important knowledge gaps in CRM research.
Abstract: This study provides an overview of the scholastic literature on cause-related marketing (CRM) during the period 1988–2016. The purpose of this study was to first identify significant knowledge gaps...

42 citations

Journal ArticleDOI
TL;DR: In this article, the authors determine the energy-environment-economy implications of transport sector dynamics by undertaking an integrated analysis using a novel methodological approach involving two main aspects: soft-coupling the IMACLIM-IND and AIM/Enduse models; and back-casting approach with long-term benchmarks.
Abstract: Dependence on crude oil imports, high correlation with economic growth, and contribution to air pollution cause the transformations in transport sector in India to have significant ramifications. Moreover, these transitions are to be steered through the global and domestic sustainable development and carbon neutrality goals. In this paper, we determine the energy-environment-economy implications of transport sector dynamics by undertaking an integrated analysis using a novel methodological approach involving two main aspects: soft-coupling the IMACLIM-IND and AIM/Enduse models; and back-casting approach with long-term benchmarks. We examine four scenarios: business-as-usual (BAU), development first (DEVF), carbon neutrality (CNT) and synchronous (SYNCH). Our synchronous scenario pathway reduces the crude oil and natural gas imports by 68% for the year 2050 compared to 2012 in the BAU scenario, leading to foreign exchange saving of 5.8 trillion US$ during 2013–2050. The envisioned transitions necessitate formulation of strategic policies which provide equitable access of transportation to all.

42 citations

Journal ArticleDOI
TL;DR: A system for providing decision support to people who make locational decisions is described in which the domain-specific knowledge of users is combined with the general problem-solving strategies, techniques, and mathematical models of location analysts.
Abstract: A system for providing decision support to people who make locational decisions is described in which the domain-specific knowledge of users is combined with the general problem-solving strategies, techniques, and mathematical models of location analysts. The system elicits and stores separately environmental, procedural, and structural knowledge so that experts in particular problem domains can access, examine, and modify this knowledge. A metaplanner interacts with users to generate scenarios which describe the general problem-solving strategy to be pursued. These scenarios are organised into a series of tractable problems which are solved in a subproblem-solver module consisting of location-allocation and other analytical models. The system enables decisionmakers to examine systematically the results of a series of analyses leading to a desired solution. The approach is suitable for location-selection problems in complex geographical decisionmaking environments.

42 citations

Journal ArticleDOI
01 Dec 2020
TL;DR: Analysis of the factors affecting the consumer's willingness to pay for health and wellness food products in India reveals that 44 percent of the consumers are willing to pay an average of 9 percent additional price for buying their desired health and wellbeing food products.
Abstract: This study aims at analyzing the factors affecting the consumer's willingness to pay for health and wellness food products in India, based on the primary consumer survey of 218 respondents. A structured questionnaire survey was administered using a stratified random sampling technique. The Poisson Count Regression Model (PCRM) has been used to analyse the factors affecting the willingness to pay for health and wellness food products. The analysis reveals that 44 percent of the consumers are willing to pay an average of 9 percent additional price for buying their desired health and wellness food products. Results of regression analysis show that important demographic variables that are more likely to affect the consumers' willingness to pay for healthy food products are income and education. Health consciousness is the key psychological factor of the buyers influencing their willingness to pay for purchasing followed by product quality, taste, packaging, price, and consumers look for convenience in shopping and are less influenced by market offerings and sales assistance in the store while buying health and wellness food products. This study provides practical insight to various stakeholders and helps in mapping the factors affecting the willingness to pay for purchasing health and wellness food products.

42 citations

Journal ArticleDOI
TL;DR: A methodology to organize work distribution globally in an industrial setting, utilizing the design structure matrix to quantify the system architecture of the firm and results show significant cost savings through a restructured PD organization.
Abstract: This study describes (through an application) a novel approach toward organizing work distribution across globally distributed design and development centers of a product development (PD) organization. While there exist several studies (and modeling applications) for work distribution and allocation for manufacturing and supply chain networks, those related to product development organizations are limited to qualitative suggestions such as offshoring of modular tasks. However, most PD efforts are characterized by significant complexity in information sharing and information dependency among PD tasks (represented by coupling in the system architecture of the firm), thus preventing the identification of modular tasks. Also, redesigning the architecture to introduce modularity has associated risks of costs and product integrity. We demonstrate a methodology to organize work distribution globally in an industrial setting, utilizing the design structure matrix to quantify the system architecture of the firm. Our optimization results show significant cost savings through a restructured PD organization. On analysis of the results, we make two significant observations: (a) while offshoring based on modularity is generally appropriate, it is not the whole answer, as there exists a trade-off between the efficiency of performing specific PD tasks at the offshore location and the modularity of the task; and (b) firms should successively increase work allocation to the offshore location, benefiting from capability improvements through learning effects.

42 citations


Authors

Showing all 1868 results

NameH-indexPapersCitations
Kanti V. Mardia5423520393
Mousumi Banerjee5319311141
Marti G. Subrahmanyam522027641
Vishal Gupta473879974
Anil K. Gupta4117517828
Priyadarshi R. Shukla391369749
Asha George351564227
Ashish Garg342464172
Justin Paul311194082
Narendra Singh Raghuwanshi311364298
Sumeet Gupta311085614
Nitin R. Patel31554573
Rahul Mukerjee302063507
Chandan Sharma301243330
Gita Sen30573550
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
202269
2021423
2020357
2019266
2018243