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821 items in total found

Journal Articles | 2021

Space between products on display: The impact of interspace on consumer estimation of product size

Yuli Zhang, Hyokjin Kwak, Marina Puzakova, and Charles R. Taylor

Journal of the Academy of Marketing Science

This research examines the effect that leaving space between products has on consumers’ estimation of product size. We theorize and empirically confirm that when space is left between products (i.e., the display is interspaced), consumers are better able to distinguish the product from the environment, which results in more attention being devoted to the product, and, in turn, larger estimation of the product’s size. Furthermore, we demonstrate downstream outcomes (i.e., consumer choices, purchase intentions) of the effect of interspatial product display on product size estimates; that is consumers react more favorably to products that are displayed in an interspatial product display when their product usage goals require large-sized products. Meanwhile, non-interspatial product displays are preferred when consumers holding a consumption goal geared to a small product size. Finally, we validate and solidify these novel interspace effects in both advertising and retailing contexts via a series of six studies including five different product types (e.g., shampoo, food, water bottle).

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Journal Articles | 2021

How does the adoption of digital payment technologies influence unorganized retailers’ performance? An investigation in an emerging market

Anirban Adhikary, Krishna Sundar Diatha, Sourav Bikash Borah, and Amalesh Sharma

Journal of the Academy of Marketing Science

Unorganized retail dominates the retail landscape across emerging markets (EMs) and is undergoing rapid digitalization. However, the extant literature has not explored the impact of digital payment system adoption on unorganized retailer (UR) performance. By conducting three related studies and relying on the tenets of the resource-based view of firms, we show that digital payment technologies’ adoption increases economic performance (i.e., revenue) for a sample of 403 EM URs. This effect is enhanced by such retailers’ prioritization of technological investments and attenuated by their credit facilities. We find that card-based and app-based technologies positively impact UR performance. URs can maximize their performance by adopting two technologies, and there is a synergistic effect between card-based and account-based technologies. On average, adoption increases a UR’s economic performance by 9.6%. We present a nuanced understanding of whether, how much, and which digital payment technologies should be adopted by EM URs.

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Journal Articles | 2021

Asymmetric political attention across foreign and domestic private equity real estate investors

Ashish Gupta and Prashant Das

Journal of Property Research

Private equity real estate (PERE) markets suffer from information inefficiency. In this study, we examine if Google Trends could help in partially mitigating the inefficiency issues. Using monthly PERE investment activities in India between 2005 and 2017, and controlling for macroeconomic variables, we show that relevant search trends are significantly associated with future investment activities. Compared to domestic investors, foreign investors are subject to information asymmetry and their investment activity is particularly sensitive to political search trends in the target country. We detect a mutually causal association between investment activity and political searches. Although significant, the effect of political Google Trends on investment activity is short-lived and fades within two months.

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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

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

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

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

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

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

Exploration of factors affecting the use of Web 2.0 for knowledge sharing among healthcare professionals: an Indian perspective

Bhawana Maheshwari, Miguel Sarrion, Manoj Motiani, Siobhan O'Sullivan, and Rajesh Chandwani

Journal of Knowledge Management

Purpose

This study aims to explore knowledge sharing (KS) attitudes and intention of healthcare professionals in India through the use of information and communication technology platforms such as Web 2.0. The research specifically focuses on individual motivators such as the face, reputation and reciprocity, which, to an extent, are influenced by indigenous culture.

Design/methodology/approach

The study uses a cross-sectional survey design to collect data. A sample of 207 was obtained from professionals working in healthcare in India. The data were analyzed using the partial least square-structural equation modeling.

Findings

The results confirmed that attitude toward KS leads to the intention to share knowledge. Attitude toward KS using Web 2.0 was found to be positively related to self-efficacy and reciprocity. Furthermore, face and reputation were found to moderate the relationship between attitude and intention to share knowledge while the moderating effect of rewards was found to be insignificant.

Research limitations/implications

This study was limited to healthcare professionals in India. Knowledge workers in other industries can be considered for further studies.

Practical implications

This study provides useful insights into KS practices using Web 2.0 among knowledge workers. Particularly it emphasizes the individual motivators, which can be manipulated by Web 2.0 designers to nurture a positive attitude toward KS and to encourage user’s participation.

Originality/value

The study investigates, using an integrated theoretical framework, how certain factors act as a motivator or a barrier for sharing knowledge using Web 2.0. in the specific cultural context of healthcare professionals in India.

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