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743 items in total found

Journal Articles | 2023

A role that takes its toll? The moderating role of leadership in role stress and exposure to workplace bullying

Piotr Stapinski, Brita Bjørkelo, Premilla D’Cruz, Eva G. Mikkelsen, Malgorzata Gamian-Wilk

The purpose of the article is to provide further evidence for the work environment hypothesis. According to the work environment hypothesis and as documented by empirical evidence, organizational factors play a crucial role in the development of workplace bullying. However, to better understand and prevent bullying at work and establish sustainable, responsible and ethical workplaces, it is crucial to understand which organizational factors are particularly important in the development of bullying and how these factors, independently and combined, act as precursors to bullying over time. One prominent theory that explains how organizational and individual factors interact is the affective events theory (AET).

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Journal Articles | 2023

How data-driven decisions help restaurants stay competitive

Debjit Roy, Eirini Spiliotopoulou, and Jelle de Vries

Today data is an increasingly important part of how restaurants create value, both on the demand side (how consumers choose a place to eat, make a reservation, give their order, and pay their bill) and the supply side (detailed preparation and food resource-management records that enable restaurants to optimize inventory and reduce waste). To remain competitive, restaurants need to change the way they approach business decisions; they need to shift focus from food cost to revenue management and exploit opportunities for scaling up. Based on their research, the authors offer six strategies to guide strategic and operational decisions.

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Journal Articles | 2023

Consumer preference for nutrition front-of-pack-label formats in India: Evidence from a large-scale experimental survey

Ranjan Kumar Ghosh, Rahul Sanghvi, Arvind Sahay

Global policy discourse emphasizes placing front-of-pack nutrition labels (FOPLs) on packaged foods, but debates continue to rage on the appropriate format. There are two key types of label formats, summary and informative. In developing countries, with mixed to low levels of education, it is advised that FOPLs need to be easily identifiable, understandable, and can influence purchase decisions. In this context, we tested the suitability of five FOPL formats in India through a randomized experimental design survey. Respondents were allocated to different groups representing the FOPLs and controls. A 15-treatment and 1 control cell between-subjects design was used for the study. Surveys were conducted on the field through face-to-face interactions with a total of 20,564 participants from all over India across regions, genders, age groups, and education levels. The results, which were validated using sub-sample tests, suggest that summary formats of Health Star Ratings and Warning Labels ranked higher on ease of identification and understanding and were also able to influence purchase intentions as compared to informative labels such as Multiple Traffic Lights, monochrome Guideline Daily Amounts, and Nutriscore. Our analysis reveals that summary FOPLs are more useful in influencing healthier food choices as compared to informative FOPL formats. The study's insights can help regulators design a policy that empowers consumers and nudges food brands toward healthier product reformulations.

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Journal Articles | 2023

Consumer preference for nutrition front-of-pack-label formats in India: Evidence from a large-scale experimental survey

Ranjan Kumar Ghosh, Rahul Sanghvi, Arvind Sahay

Global policy discourse emphasizes placing front-of-pack nutrition labels (FOPLs) on packaged foods, but debates continue to rage on the appropriate format. There are two key types of label formats, summary and informative. In developing countries, with mixed to low levels of education, it is advised that FOPLs need to be easily identifiable, understandable, and can influence purchase decisions. In this context, we tested the suitability of five FOPL formats in India through a randomized experimental design survey. Respondents were allocated to different groups representing the FOPLs and controls. A 15-treatment and 1 control cell between-subjects design was used for the study. Surveys were conducted on the field through face-to-face interactions with a total of 20,564 participants from all over India across regions, genders, age groups, and education levels. The results, which were validated using sub-sample tests, suggest that summary formats of Health Star Ratings and Warning Labels ranked higher on ease of identification and understanding and were also able to influence purchase intentions as compared to informative labels such as Multiple Traffic Lights, monochrome Guideline Daily Amounts, and Nutriscore. Our analysis reveals that summary FOPLs are more useful in influencing healthier food choices as compared to informative FOPL formats. The study's insights can help regulators design a policy that empowers consumers and nudges food brands toward healthier product reformulations.

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Journal Articles | 2023

Assessing policy options for sustainable water use in India's cereal production system

Vartika Singh, Miodrag Stevanović, Chandan Kumar Jha, Felicitas Beier, Ranjan Kumar Ghosh, Hermann Lotze-Campen, Alexander Popp

In India, the production of rice and wheat account for more than 80% of its total agricultural water use. As farming is highly dependent on water availability, rapidly receding water levels require urgent measures to manage withdrawals. We assess policy instruments that can reduce pressures on water resources, while at the same time limiting adverse impacts on water-intensive cereal production systems, land-use changes and economic welfare. To this end, we use a dynamic and integrated partial equilibrium model of agricultural production and its impact on the environment to reflect two options: an increase in energy costs for irrigation water (price-related effects), and alternatively, physical quotas on water withdrawals (quantity-related effects). We conclude that it is possible to increase energy prices for agriculture with minimal impacts on agricultural production, agricultural prices, and trade in cereal crops, and moderately reduce water withdrawals by 2050. We find that the intermediate effects of pricing policies are negative for all indicators as compared to quota policies. However, by 2050, both policies yield similar outcomes for all indicators. Our results offer insights into ways in which these policies drive different mechanisms and trade-offs on important agro-economic indicators, and they offer the choice for water conservation policy decision-making based on other critical factors such as implementation costs.

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Journal Articles | 2023

High-frequency traders’ evolving role as market makers

Anirban Banerjee, Prince Roy

The current academic literature on HFTs considers them as the present-day de facto market makers. We show that HFT trading strategies have moved away from passive market-making over time. We explore the role of regulatory hurdles in this regard and find that penalties on high OTR (order-to-trade ratio) negatively affect HFT market-making and result in HFTs participating in trades as liquidity takers rather than liquidity providers. HFT passive market making is positively associated with the OTR. We also observe reduced profitability of HFT market-making strategies over time.

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Journal Articles | 2023

An overarching conceptual framework for ICT-enabled responsive governance

Amit Anand Tiwari, Samrat Gupta, Efpraxia D. Zamani, Neeraj Mittal, Renu Agarwal

Over the recent years, responsiveness has gained importance as it is a critical element of public governance processes and acts as a driving factor for supporting the achievement of governance objectives, especially in the implementation phases. In this study, we identify the knowledge gaps in the realm of responsive governance based on a systematic literature review. Based on our analysis, we propose a conceptual framework of major building blocks (input, process and outcomes) for the development and implementation of responsive governance at the local, regional and national levels of administrative hierarchy.

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Journal Articles | 2023

Did it increase energy consumption? A difference-in-differences evaluation of a rural electrification policy in Gujarat, India using night-time lights data

Namrata Chindarkar, Nihit Goyal

Electricity access is an important issue and building capacity for it requires drawing relevant lessons from past policies. In this study, we evaluate the effect of the Jyotigram Yojana, or the lighted village scheme, a supply-side policy intervention during 2003–08 to increase rural electricity access in Gujarat, India. We hypothesize that policy implementation is associated with increased electricity consumption. To test this hypothesis, we exploit variation in the timing of policy implementation at the village level, and use a generalized difference-in-differences strategy for identification. Further, we use night-time luminosity measured through remote sensing as a proxy for electricity consumption, and control for weather, village fixed effect, year fixed effect, and village or administrative block specific time trend. We find that while the overall effect of the policy on night-time luminosity was not statistically significant, the effects were likely heterogeneous, with the night-time luminosity increasing in some districts after policy implementation and decreasing in others. We conclude that the policy might have had a re-distributive effect on electricity access or consumption and recommend adopting a more holistic approach – incorporating both supply-side and demand-side measures – to increase electricity access.

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Journal Articles | 2023

Understanding consumers in-store behavior: The dual role of episode-specific motive adjustment and motive selection

Soumya Mukhopadhyay, Akshaya Vijayalakshmi, Shailendra P. Jain

Understanding purchase motivations is vital but challenging due to their unobservable, concomitant, and dynamic nature. Recent research has proposed frameworks to examine their impact on choice by treating motivations as latent states. This study contributes to this line of research by introducing the notion of “episode-specific motive adjustment,” that accounts for variations in consumers' willingness to pursue specific motives during a shopping trip. Utilizing this concept, the study uncovers valuable insights into how different types of purchase motivations influence consumer product interactions and choices. Analyzing a comprehensive dataset from multiple Indian cities, the research contributes to a theoretical understanding of and practical applications for businesses seeking to comprehend and influence consumer behavior. Theoretically, we show that consumers display diverse patterns of in-store product engagement behavior as they adjust the intensity of instrumental and experiential motives across purchase episodes. Furthermore, we illustrate that the relationship between willingness to pursue a motive (motive intensity) and the likelihood of making a choice follows distinct functional patterns. We highlight the significance of considering individual-level heterogeneity and dynamic behavioral patterns to enhance consumer experiences and purchase decisions. Practically, this research identifies the key drivers that influence motive intensity in stores, providing managers with insights to optimize store layouts and effectively influence consumer purchase motives that align with their business objectives. Emphasis is placed on context-specific strategies, as the impact of these drivers varies with purchase context.

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Journal Articles | 2023

Capacitated multiple allocation hub location problems under the risk of interdiction: Model formulations and solution approaches

Vishal Bansal, Sachin Jayaswal, Ankur Sinha

Hub-and-spoke networks play a critical role in reducing cost and enhancing service levels in various infrastructural sectors since hubs act as the consolidation and transshipment points of the flows. The failure of hubs in such a network can cause severe disruptions. While disruptions can be natural or man-made, a disruption by a rational individual or entity can be significantly detrimental to the network and is often studied as an interdiction problem. It is important to take interdiction effects at the design stage; therefore, we study the three-level capacitated hub-and-spoke network design problem from the perspective of a defender who considers the risk of interdiction by a rational attacker. Within the three levels, the upper level represents the network design level, and the lower two levels represent the bi-level hub interdiction problem. The introduction of capacity constraints within an interdiction model dramatically increases the complexity of the problem, as there can be some unfulfilled flows post-interdiction. Moreover, a flow may or may not be fulfilled through the least-cost route using the nearest hubs. This work makes two major contributions: the first contribution is on the efficient handling of the bi-level hub interdiction problem using the Dual-based approach and the Penalty-based approach, and the second contribution is on solving the overall three-level problem using a super valid inequality. These two contributions allow us to solve large-scale versions of the capacitated multiple allocation p-median hub location problem under the risk of interdiction, which is otherwise mathematically intractable and can be handled only using complete enumeration techniques.

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