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Journal Articles | 2020

What motivates members to transact on social C2C communities? A theoretical explanation

Deepak Trehan and Rajat Sharma

Journal of Consumer Marketing

Purpose – This paper aims to investigate the consumer motivation to buy products on consumer-to-consumer (C2C) communities on social networking sites (SNSs). These transactions involve no intermediation or payment of fees by any party. The phenomenon is in contrast with the traditional C2C transactions, on websites such as eBay, where the company website facilitates the transaction between consumers, charges a fee to sellers and provides limited information about buyers and sellers.

Design/methodology/approach – Drawing from media richness theory and social capital theory, this paper thus proposes and empirically tests a theoretical model developed using data collected from people making transactions on these communities that synthesize the motivations behind consumers’ intention to buy.

Findings – The results indicate that the media richness of the Facebook platform increases the social capital and sense of virtual community among users, which further impacts the purchase intentions of users. Social capital alone does not lead to purchase intention and indirectly impacts purchase intentions through the trust dimension.

Research limitations/implications – This study contributes to theorizing the role of the platform, social capital and sense of virtual community in buying behavior on SNSs and provides valuable new insights into these constructs for the brand managers on social media sites.

Originality/value – Existing research on social commerce does not hold true for C2C communities on SNSs. This paper provides a new perspective into these communities through the lens of media richness and social capital constructs as antecedents of purchase intentions on these communities.

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Journal Articles | 2020

Stochastic modeling of parallel process flows in intra-logistics systems: Applications in container terminals and compact storage systems

Govind Lal Kumawat, Debjit Roy, Rene De Koster, and Ivo Adan

European Journal of Operational Research

Many intra-logistics systems, such as automated container terminals, distribution warehouses, and cross-docks, observe parallel process flows, which involve simultaneous (parallel) operations of independent resources while processing a job. When independent resources work simultaneously to process a common job, the effective service requirement of the job is difficult to estimate. For modeling simplicity, researchers tend to assume sequential operations of the resources. In this paper, we propose an efficient modeling approach for parallel process flows using two-phase servers. We develop a closed queuing network model to estimate system performance measures. Existing solution methods can evaluate the performance of closed queuing networks that consist of two-phase servers with exponential service times only. To solve closed queuing networks with general two-phase servers, we propose new solution methods: an approximate mean value analysis and a network aggregation dis-aggregation approach. We derive insights on the accuracy of the solution methods from numerical experiments. Although both solution methods are quite accurate in estimating performance measures, the network aggregation dis-aggregation approach consistently performs best. We illustrate the proposed modeling approach for two intra-logistic systems: a container terminal with automated guided vehicles and a shuttle-based compact storage system. Results show that approximating the simultaneous operations as sequential operations underestimates the container terminal throughput on average by 28% and at maximum up to 47%. Similarly, considering sequential operations of the resources in the compact storage system results in an underestimation of the throughput capacity up to 9%.

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Journal Articles | 2020

Interplay between constraints and rewards in innovation tournaments: implications for participation

Swanand J. Deodhar

International Journal of Cooperative Information Systems

In this study, we examine how the monetary rewards and competitive constraints that organizers of innovation tournaments incorporate are associated with participation. These two aspects of innovation tournaments are crucial because they represent critical design decisions that the organizers must make beforehand. We show that the reward amount is negatively associated with participation, while the presence of competitive constraints, which “make the competitive landscape less asymmetric”, is positively associated with participation. Furthermore, the study shows that competitive constraints moderate the negative association between reward amount and participation. These findings provide insights into contestant motivation as well as the interdependencies between tournament design choices.

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Journal Articles | 2020

Modeling and design of container terminal operations

Debjit Roy, Rene De Koster, and Rene Bekker

Operations Research

The design of container terminal operations is complex because multiple factors affect operational performance. These factors include numerous choices for handling technology, terminal topology, and design parameters and stochastic interactions between the quayside, stackside, and vehicle transport processes. In this research, we propose new integrated queuing network models for rapid design evaluation of container terminals with automated lift vehicles and automated guided vehicles. These models offer the flexibility to analyze alternate design variations and develop insights. For instance, the effect of different vehicle dwell point policies is analyzed using state-dependent queues, whereas the efficient terminal layout is determined using variation in the service time expressions at the stations. We show the relation among the dwell point–dependent waiting times and also show their asymptotic equivalence at heavy traffic conditions. These models form the building blocks for design and analysis of large-scale terminal operations. We test the model efficacy using detailed in-house simulation experiments and real-terminal validation by partnering with an external party.

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Journal Articles | 2020

Using complier average causal effect estimation to examine student outcomes of the pax good behavior game when integrated with the PATHS curriculum

Catherine P. Bradshaw, Kathan Shukla, Elise T. Pas, Juliette K. Berg, and Nicholas S. Lalongo

Administration and Policy in Mental Health and Mental Health Services Research

A growing body of research has documented a link between variation in implementation dosage and outcomes associated with preventive interventions. Complier Average Causal Effect (CACE; Jo in J Educ Behav Stat 27:385-409, 2002) analysis allows for estimating program impacts in light of variation in implementation. This study reports intent-to-treat (ITT) and CACE findings from a randomized controlled trial (RCT) testing the impacts of the universal PAX Good Behavior Game (PAX GBG) integrated with Promoting Alternative Thinking Strategies (i.e., PATHS to PAX) and PAX GBG only compared to a control. This study used ratings by 318 K-5 teachers of 1526 at-risk children who, at baseline, were rated as displaying the top 33rd percentile of aggressive-disruptive behavior. Leveraging a prior study on these data (Berg et al. in Admin Policy Ment Health Ment Health Serv Res 44:558-571, https://doi.org/10.1007/s10488-016-0738-1 , 2017), CACE was defined as the effect of intervention assignment for compliers, using two compliance cut points (50th and 75th percentile), on posttest ratings of student academic engagement, social competence, peer relations, emotion regulation, hyperactivity, and aggressive-disruptive behavior. The ITT analyses indicated improvements for students in the integrated condition on ratings of social competence compared to the control condition. The CACE analyses also indicated significant effects of the integrated intervention on social competence, as well as academic engagement and emotion regulation for students in high compliance classrooms. These findings illustrate the importance of considering variation in implementation within the context of RCTs.

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Journal Articles | 2020

Implications of land use transitions and climate change on local flooding in urban areas: An assessment of 42 Indian cities

Vidhee Avashia and Amit Garg

Land Use Policy

Urban development induced land transitions affect urban hydrology, resulting in increased flooding risks. Climate change-related precipitation changes are an added complexity to the flood risks of cities. This study examines the role of land use changes in determining the occurrence of urban flooding events across 42 Indian cities under current and future climate change scenarios. Landsat images for 1990, 2000, 2010, and 2017 have been processed using a hybrid classification technique to determine the land use shares for all cities. A typical event-count study using newspaper archives has been conducted to create a flooding event database. A multilevel model employing logistic mixed-effects approach was used. Future projections of the occurrence of flooding events for nine models under three climate change-related Representative Concentration Pathways (RCPs)—2.6, 4.5, and 8.5—and three urban development scenarios have been carried out. The results suggest that cities should preserve the land uses that act as a sponge—the green, open and blue spaces. As these spaces decrease, the projected flooding events increase. Under the RCP 2.6 scenario, the number of flooding events is significantly lower (95 % confidence) than under RCPs 4.5 and 8.5. The expected flooding occurrences between RCP4.5 and RCP8.5 are not significantly different (95 % confidence) for many scenarios, suggesting that Indian cities should aim for a world temperature increase of below 2 °C, or devastating consequences are imminent. This study highlights the need for Indian cities to undertake integrated spatial planning measures for a resilient, sustainable urban future.

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Journal Articles | 2020

Reducing stranded assets through early action in the Indian power sector

Aman Malik, Christoph Bertram, Jacques Despres, Johannes Emmerling, Shinichiro Fujimori, Amit Garg, Elmar Kriegler, Gunnar Luderer, Ritu Mathur, Mark Roelfsema, Swapnil Shekhar, Saritha Vishwanathan, and Zoi Vrontisi

Environmental Research Letters

Cost-effective achievement of the Paris Agreement's long-term goals requires the unanimous phase-out of coal power generation by mid-century. However, continued investments in coal power plants will make this transition difficult. India is one of the major countries with significant under construction and planned increase in coal power capacity. To ascertain the likelihood and consequences of the continued expansion of coal power for India's future mitigation options, we use harmonised scenario results from national and global models along with projections from various government reports. Both these approaches estimate that coal capacity is expected to increase until 2030, along with rapid developments in wind and solar power. However, coal capacity stranding of the order of 133–237 GW needs to occur after 2030 if India were to pursue an ambitious climate policy in line with a well-below 2 °C target. Earlier policy strengthening starting after 2020 can reduce stranded assets (14–159 GW) but brings with it political economy and renewable expansion challenges. We conclude that a policy limiting coal plants to those under construction combined with higher solar targets could be politically feasible, prevent significant stranded capacity, and allow higher mitigation ambition in the future.

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Journal Articles | 2020

"Context" in healthcare information technology resistance: A systematic review of extant literature and agenda for future research.

Mayank Kumar, Jan Bahadur Singh, Rajesh Chandwani, and Agam Gupta

International Journal of Revenue Management

Resistance to Healthcare Information Technologies (HIT) continues to be a major challenge that hampers the realization of benefits. Attending to the noted significance of “context” in IT resistance, we carried out this review to understand how the “context” of healthcare in the extant HIT resistance literature has been studied. Based on a review of HIT resistance across 19 IS journals and 5 major IS conferences we organize and summarize the literature around the interaction of people, practice, and technology and provide several significant possibilities for future research.

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Journal Articles | 2020

Capacitated multi-period maximal covering location problem with server uncertainty

Amit Kumar Vatsa and Sachin Jayaswal

European Journal of Operational Research

We study the problem of assigning doctors to existing, non-operational Primary Health Centers (PHCs). We do this in the presence of clear guidelines on the maximum population that can be served by any PHC, and uncertainties in the availability of the doctors over the planning horizon. We model the problem as a robust capacitated multi-period maximal covering location problem with server uncertainty. Such supply-side uncertainties have not been accounted for in the context of multi-period facility location in the extant literature. We present an MIP formulation of this problem, which turns out to be too difficult for an off-the-shelf solver like CPLEX. We, therefore, present several dominance rules to reduce the size of the model. We further propose a Benders decomposition based solution method with several refinements that exploit the underlying structure of the problem to solve it extremely efficiently. Our computational experiments show one of the variants of our Benders decomposition based method to be on average almost 1000 times faster, compared to the CPLEX MIP solver, for problem instances containing 300 demand nodes and 10 facilities. Further, while the CPLEX MIP solver could not solve most of the instances beyond 300 demand nodes and 10 facilities even after 20 hours, two of our variants of Benders decomposition could solve instances upto the size of 500 demand nodes and 15 facilities in less than 0.5 hour, on average.

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Journal Articles | 2020

Why do institutions revert? Institutional elasticity and petroleum sector reforms in India

Kshitij Awasthi, K. V. Gopakumar, and Abhoy K. Ojha

Business and Society

The institutional change literature has predominantly focused on successful changes and sparsely on failed changes, but the idea of institutional fields reverting to their pre-change or near pre-change state, after change attempts, remains underexplored. Although recent studies have explored similar phenomenon from the perspective of actors resisting change and trying to restore status quo, a field-level understanding of the processes and the dynamics associated with it remains underexamined. The present study, using the case of reforms in the field of petroleum exploration and production in India, examines an institutional change where the institution, once modified, gradually reverted near to its prechange state. We suggest the concept of institutional elasticity to explain such reverting of institutions, and elaborate on three boundary conditions—scope of change, pace of change, and field-level actor constellations—which have implications for the relationship between institutional elasticity and reverting of institutions.

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