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3853 items in total found

Journal Articles | 2021

A systematic review of labor-saving technologies: Implications for women in agriculture

Vidya Vemireddy and Anjali Choudhary

Global Food Security

In this study, we systematically review the literature on adoption factors and impacts of labor-saving technologies (LSTs) by smallholder and women farmers in developing countries. 85 articles are included in the review after meeting strict selection criteria through a search across several electronic platforms. We highlight several research gaps that need future research focus. Future research should include gendered differences in factors such as – comparing extension models, social networks, and farmers' underlying technological perceptions. We show the need for designing and providing access to gender-friendly LSTs suited to the context. While there are clear impacts of LST adoption on labor and productivity, few studies examine negative consequences such as labor-displacement. Further examination of these trade-offs and differential impacts on welfare dimensions across gender is needed. Our results indicate implications for future research and policy regarding incorporating gender differences in designing, promotion, and adoption of LSTs to reduce womnen's work burdens and to enhance welfare outcomes.

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Journal Articles | 2021

A prescriptive analytics framework for efficient E-commerce order delivery

Shanthan Kandula, Srikumar Krishnamoorthy, and Debjit Roy

Decision Support Systems

Achieving timely last-mile order delivery is often the most challenging part of an e-commerce order fulfillment. Effective management of last-mile operations can result in significant cost savings and lead to increased customer satisfaction. Currently, due to the lack of customer availability information, the schedules followed by delivery agents are optimized for the shortest tour distance. Therefore, orders are not delivered in customer-preferred time periods resulting in missed deliveries. Missed deliveries are undesirable since they incur additional costs. In this paper, we propose a decision support framework that is intended to improve delivery success rates while reducing delivery costs. Our framework generates delivery schedules by predicting the appropriate delivery time periods for order delivery. In particular, the proposed framework works in two stages. In the first stage, order delivery success for every order throughout the delivery shift is predicted using machine learning models. The predictions are used as an input for the optimization scheme, which generates delivery schedules in the second stage. The proposed framework is evaluated on two real-world datasets collected from a large e-commerce platform. The results indicate the effectiveness of the decision support framework in enabling savings of up to 10.2% in delivery costs when compared to the current industry practice.

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Journal Articles | 2021

Reinventing the universal structure of human values: Development of a new holistic values scale to measure Indian values.

Rajat Sharma

Journal of Human Values

This article investigates the universal values scale, Schwartz Value Survey (SVS) for its applicability to measure cultural context-specific values. The study establishes a need to construct a new scale by identifying and incorporating Indian culture-specific values in SVS. Deriving data using self-assessment questionnaires from 709 respondents in 2 studies and analysing them using principal component analysis and structural equation modelling, the article reconceptualizes Schwartz’s Portrait Values Questionnaire (PVQ) and the 10 motivational value factors and develops a new 76-item Holistic Values Scale (HVS) to measure Indian values using well-established scale development methods. The article further presents the research and policy implications and future research areas in this domain.

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Journal Articles | 2021

The impact of COVID-19 on tail risk: Evidence from Nifty index options

Sobhesh Kumar Agarwalla, Jayanth R. Varma, and Vineet Virmani

Economic Letters

We investigate the impact of COVID-19 using multiple forward-looking measures of uncertainty in Indian stock markets using liquid Nifty index options. The WHO declaration of COVID-19 as a pandemic coincides with a sharp rise in all measures of uncertainty considered, including option-implied volatility smiles, risk-neutral density, skewness, and kurtosis. We find that while subsequent government-imposed lockdowns and monetary easing induced a near-normalization of skewness and kurtosis, the volatility level remained elevated, demonstrating the importance of higher moments in capturing uncertainty during a pandemic. Structural breaks identified using the Bai–Perron methodology closely track the dates of significant announcements or interventions.

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Journal Articles | 2021

Designing and driving crowdsourcing contests in large public service organizations

B S Kiran and Rajat Sharma

Research-Technology Management

Overview: When designed and driven efficiently, crowdsourcing can leverage the power of collective intelligence and yield innovative solutions. To date, the crowdsourcing literature has focused on exemplary corporate initiatives and less on crowdsourcing contests in public service organizations (PSOs), which have a diverse ecosystem. Existing literature has only sparsely studied the design aspect of crowdsourcing as a process. We explored crowdsourcing contests hosted by two large PSOs, Deutsche Bahn and Indian Railways, from a process perspective. We created a six-stage framework for crowdsourcing contests that other PSOs can use. We highlight the need for effective internal and external marketing to enhance the effectiveness of crowdsourcing in PSOs. With structured efforts, crowdsourcing contests can help PSOs cocreate impactful solutions by seamlessly blending internal and external knowledge and efforts.

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Journal Articles | 2021

Marketplace literacy as a pathway to a better world: Evidence from field experiments in low-access subsistence marketplaces

Madhubalan Viswanathan, Nita Umashankar, Arun Sreekumar, and Ashley Goreczny

Journal of Marketing

Multinational companies increasingly focus on subsistence marketplaces, given their enormous market potential. Nevertheless, their potential is untapped because subsistence consumers face extreme constraints. The authors contend that subsistence consumers need marketplace literacy to participate effectively and beneficially in marketplaces. Marketplace literacy entails the knowledge and skills that enable them to participate in a marketplace as both consumers and entrepreneurs. This is crucial for subsistence consumers, as they often must function in both roles to survive. Previous research, however, has not empirically examined the influence of marketplace literacy on well-being or marketing outcomes related to well-being. To address this gap, the authors implemented three large-scale field experiments with approximately 1,000 people in 34 remote villages in India and Tanzania. They find that marketplace literacy causes an increase in psychological well-being and consumer outcomes related to well-being (e.g., consumer confidence, decision-making ability), especially for subsistence consumers with lower marketplace access, and it causes an increase in entrepreneurial outcomes related to well-being (e.g., starting a microenterprise) for those with higher marketplace access. Overall, this research generates practical implications for the use of marketplace literacy as a pathway to a better world.

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Journal Articles | 2021

Alternate second order conic program reformulations for hub location under stochastic demand and congestion

Sneha Dhyani Bhatt, Sachin Jayaswal, Ankur Sinha, and Navneet Vidyarthi

Annals of Operations Research

In this paper, we study the single allocation hub location problem with capacity selection in the presence of congestion at hubs. Accounting for congestion at hubs leads to a non-linear mixed integer program, for which we propose 18 alternate mixed integer second order conic program (MISOCP) based reformulations. Based on our computational studies, we identify the best MISOCP-based reformulation, which turns out to be 20–60 times faster than the state-of-the-art. Using the best MISOCP-based reformulation, we are able to exactly solve instances up to 50 nodes in less than half-an-hour. We also theoretically examine the dimensionality of the second order cones associated with different formulations, based on which their computational performances can be predicted. Our computational results corroborate our theoretical findings. Such insights can be helpful in the generation of efficient MISOCPs for similar classes of problems.

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Journal Articles | 2021

Women’s disempowerment and preferences for skin lightening products that reinforce colorism: Experimental evidence from India

Arzi Adbi, Chirantan Chatterjee, Clarissa Cortland, Zoe Kinias, and Jasjit Singh

Psychology of Women Quarterly

Global racism and colorism, the preference for fairer skin even within ethnic and racial groups, leads millions of women of African, Asian, and Latin descent to use products with chemical ingredients intended to lighten skin color. Drawing from literatures on the impact of chronic and situational disempowerment on behavioral risk-taking to enhance status, we hypothesized that activating feelings of disempowerment would increase women of color’s interest in stronger and riskier products meant to lighten skin tone quickly and effectively. In two experiments (Experiment 1: N = 253 women and 264 men; Experiment 2: replication study, N = 318 women) with distinct samples of Indian participants, we found that being in a state of psychological disempowerment (vs. empowerment) increased Indian women’s preference for stronger and riskier skin lightening products but not for milder products. Indian men’s interest in both types of products was unaffected by the same psychological disempowerment prime. Based on these findings, we recommend increased consideration among teaching faculty, research scholars, and clinicians on how feeling disempowered can lead women of color to take risks to lighten their skin as well as other issues of intersectionality and with respect to colorism. We also encourage the adoption of policies aimed at empowering women of color and minimizing access to harmful skin lightening products.

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Journal Articles | 2021

Do Big 4 auditors limit classification shifting? Evidence from India

Neerav Nagar, Naman Desai, and Joshy Jacob

Journal of International Accounting, Auditing and Taxation

Extant research suggests that Big 4 auditors compared to non-Big 4 auditors act as a superior deterrent to accrual-based earnings management. We extend this research to another form of earnings management, classification shifting. Our study examines whether Big 4 auditors are more likely to reduce classification shifting in settings where the enforcement of laws is weak. Big 4 accounting firms, because of their global operations, have incentives to develop and maintain strong and uniform reputation globally. Consistent with this argument, we find that employing Big 4 auditors in India is associated with significantly lower levels of classification shifting. Our results also indicate that Big 4 auditors are likely to charge significantly higher fees than non-Big 4 auditors, which, in turn, is associated with a significant reduction in classification shifting.

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Journal Articles | 2021

Optimal monopoly mechanisms with demand uncertainty

James Peck and Jeevant Rampal

Mathematics of Operations Research

This paper analyzes a monopoly firm’s profit-maximizing mechanism in the following context. There is a continuum of consumers with a unit demand for a good. The distribution of the consumers’ valuations is given by one of two possible demand distributions/states. The consumers are uncertain about the demand state, and they update their beliefs after observing their own valuation for the good. The firm is uncertain about the demand state but infers it from the consumers’ reported valuations. The firm’s problem is to maximize profits by choosing an optimal mechanism among the class of anonymous, deterministic, direct revelation mechanisms that satisfy interim incentive compatibility and ex post individual rationality. We show that, under certain sufficient conditions, the firm’s optimal mechanism is to set the monopoly price in each demand state. Under these conditions, Segal’s optimal ex post mechanism is robust to relaxing ex post incentive compatibility to interim incentive compatibility.

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