Matching Items (13)
Description
Social shopping has emerged as a popular online retailing segment. Social shopping revolves around online communities that bring consumers together to shop for deals. Online retailers have been making significant investments to encourage consumers to join online communities linked to their websites in the hope that social interactions among consumers will increase consumption rates. However, the assumption that social interactions increase consumption rates in social shopping remains largely untested in empirical settings. Also, the mechanisms of such an effect remain unclear. Moreover, extant literature has overlooked the role played by elements of the marketing mix, including product characteristics and the commercial context, in defining the effect that social interaction mechanisms have on consumption rates in this focused context. Furthermore, common knowledge in the operations management discipline challenges the largely held assumption, in the social interactions literature, that increasing consumption rates will always be beneficial to online retailers. Higher consumption rates may lead to stockouts, leading to lower service levels. This dissertation develops and empirically tests a theoretical framework that addresses these managerially relevant issues. Specifically, the investigation centers on the effects of social interaction mechanisms on consumption rates in social shopping. In turn, it assesses the nature of the relationship between consumption rates and service levels, after controlling for inventory provision. Finally, it assesses the role played by elements of the marketing mix in defining the relationship between social interaction mechanisms and consumption rates in this focused context. The research methodology uses experiments as the primary source of data collection, and employs econometrics techniques to statistically assess the conceptual framework. The results from the empirical analysis provide interesting insights. First, they unveil influential consumers in social shopping according to relational and structural elements of the social network of consumers and time of purchase. Second, the influence of early buyers' purchases on consumption rates becomes weaker when the quality of the products being offered as part of a deal increases, but it becomes stronger when the price of those products increases. Finally, as deals' consumption rates increase, their service levels decrease at a faster pace.
ContributorsSodero, Annibal (Author) / Rabinovich, Elliot (Thesis advisor) / Sinha, Rajiv (Committee member) / Maltz, Arnold (Committee member) / Arizona State University (Publisher)
Created2012
Description
The shift in focus of manufacturing systems to high-mix and low-volume production poses a challenge to both efficient scheduling of manufacturing operations and effective assessment of production capacity. This thesis considers the problem of scheduling a set of jobs that require machine and worker resources to complete their manufacturing operations. Although planners in manufacturing contexts typically focus solely on machines, schedules that only consider machining requirements may be problematic during implementation because machines need skilled workers and cannot run unsupervised. The model used in this research will be beneficial to these environments as planners would be able to determine more realistic assignments and operation sequences to minimize the total time required to complete all jobs. This thesis presents a mathematical formulation for concurrent scheduling of machines and workers that can optimally schedule a set of jobs while accounting for changeover times between operations. The mathematical formulation is based on disjunctive constraints that capture the conflict between operations when trying to schedule them to be performed by the same machine or worker. An additional formulation extends the previous one to consider how cross-training may impact the production capacity and, for a given budget, provide training recommendations for specific workers and operations to reduce the makespan. If training a worker is advantageous to increase production capacity, the model recommends the best time window to complete it such that overlaps with work assignments are avoided. It is assumed that workers can perform tasks involving the recently acquired skills as soon as training is complete. As an alternative to the mixed-integer programming formulations, this thesis provides a math-heuristic approach that fixes the order of some operations based on Largest Processing Time (LPT) and Shortest Processing Time (SPT) procedures, while allowing the exact formulation to find the optimal schedule for the remaining operations. Computational experiments include the use of the solution for the no-training problem as a starting feasible solution to the training problem. Although the models provided are general, the manufacturing of Printed Circuit Boards are used as a case study.
ContributorsAdams, Katherine Bahia (Author) / Sefair, Jorge (Thesis advisor) / Askin, Ronald (Thesis advisor) / Webster, Scott (Committee member) / Arizona State University (Publisher)
Created2019
Description
When preparing for and responding to disasters, humanitarian organizations must run effective and efficient supply chains to deliver the resources needed by the affected population. The management of humanitarian supply chains include coordinating the flows of goods, finances, and information. This dissertation examines how humanitarian organizations can improve the distribution of information, which is critical for the planning and coordination of the other two flows. Specifically, I study the diffusion of information on social media platforms since such platforms have emerged as useful communication tools for humanitarian organizations during times of crisis.
In the first chapter, I identify several factors that affect how quickly information spreads on social media platforms. I utilized Twitter data from Hurricane Sandy, and the results indicate that the timing of information release and the influence of the content’s author determine information diffusion speed. The second chapter of this dissertation builds directly on the first study by also evaluating the rate at which social media content diffuses. A piece of content does not diffuse in isolation but, rather, coexists with other content on the same social media platform. After analyzing Twitter data from four distinct crises, the results indicate that other content’s diffusion often dampens a specific post’s diffusion speed. This is important for humanitarian organizations to recognize and carries implications for how they can coordinate with other organizations to avoid inhibiting the propagation of each other’s social media content. Finally, a user’s followers on social media platforms represent the user’s direct audience. The larger the user’s follower base, the more easily the same user can extensively broadcast information. Therefore, I study what drives the growth of humanitarian organizations’ follower bases during times of normalcy and emergency using Twitter data from one week before and one week after the 2016 Ecuador earthquake.
In the first chapter, I identify several factors that affect how quickly information spreads on social media platforms. I utilized Twitter data from Hurricane Sandy, and the results indicate that the timing of information release and the influence of the content’s author determine information diffusion speed. The second chapter of this dissertation builds directly on the first study by also evaluating the rate at which social media content diffuses. A piece of content does not diffuse in isolation but, rather, coexists with other content on the same social media platform. After analyzing Twitter data from four distinct crises, the results indicate that other content’s diffusion often dampens a specific post’s diffusion speed. This is important for humanitarian organizations to recognize and carries implications for how they can coordinate with other organizations to avoid inhibiting the propagation of each other’s social media content. Finally, a user’s followers on social media platforms represent the user’s direct audience. The larger the user’s follower base, the more easily the same user can extensively broadcast information. Therefore, I study what drives the growth of humanitarian organizations’ follower bases during times of normalcy and emergency using Twitter data from one week before and one week after the 2016 Ecuador earthquake.
ContributorsYoo, Eunae (Author) / Rabinovich, Elliot (Thesis advisor) / Gu, Bin (Thesis advisor) / Rand, William (Committee member) / Fowler, John (Committee member) / Arizona State University (Publisher)
Created2018
Description
ABSTRACT American households are throwing out billions of dollars of valuable food every year, which in turn ends up in landfills, harms the environment, and consumes precious tax dollars. The nation must reduce the waste that is causing a drain on resources. Furthermore, rather than turn excess food to waste, people can redistribute food to feed the millions of food insecure households nationwide. To address this issue, this paper utilizes a supply chain approach to research central links in the food chain and identify the causes for waste at each process. Additionally, an investigation of barriers to change is conducted, explaining the struggles stakeholders face in the food challenge. Taking these barriers into consideration, various solutions are recommended that can help alleviate the food challenge. Waste reduction is possible through proper management of the six supply chain drivers: information, inventory, sourcing, transportation, pricing, and facilities. Through better information sharing, more accurate forecasts can be produced, reducing the bullwhip effect thus minimizing waste. Sourcing, transportation, and pricing can help create secondary food markets. These local, online, or discount venues put imperfect and short shelf life foods back on shelves instead of landfills. Small improvements in facilities such as reengineering display units can reduce the chances of damaged produce as well. To a humanitarian end, gleaning efforts bring nutritious, unharvested crops from farms to food pantries. Centralized donation networks better educate businesses and allocate resources to those in need. Moreover, consumer-driven initiatives at a store or web-based level can move food surpluses to food insecure homes. Combined, these methods will provide a triple bottom line benefit to profits, people, and the planet.
ContributorsChen, Jennifer (Author) / Dooley, Kevin (Thesis director) / Rabinovich, Elliot (Committee member) / Barrett, The Honors College (Contributor)
Created2013-12
Description
While scan-based trading (SBT) is a growing trend in the retail industry, evidence suggests that many SBT initiatives have contributed only to the retailers’ bottom line at the suppliers’ expense. This research attempts to disclose some of the causes of SBT failure as a collaborative inventory management initiative and identify SBT’s integrative potential using both positivistic and normative research methodologies.
In the first chapter, SBT contracts are analyzed through the lens of Agency Theory. By focusing on unique inventory ownership and risks considerations resulting from retailers managing supplier-owned inventory without bearing the cost of inventory shrinkage, the effect of SBT on inventory shrinkage is examined empirically using a data set from a packaged bakery manufacturer. The results show that inventory shrinkage tends to be higher under SBT contracts compared to traditional vendor-managed inventory (VMI) contracts. The study highlights a potential loss in efficiency in food supply chains reflected in higher shrinkage under SBT contracts.
The second chapter aims to identify conditions under which SBT contracts could be mutually beneficial for retailers and suppliers. Using stylized game theoretic models involving a retailer and a supplier of a product with limited shelf life, the study finds that, while inventory shrinkage may be amplified under SBT contracts compared to VMI contracts due to the decreased retailer’s incentive to manage inventory at the store, SBT could help suppliers minimize inventory overage and underage under high demand uncertainty. The integrative potential for SBT contracts, thus, lies in the trade-off between inventory shrinkage and forecasting accuracy.
In the third paper, the role of bargaining power on the performance of SBT contracts is examined. Based on the bargaining literature, it is hypothesized that perceptions of bargaining power can be reshaped in the bargaining process through concession tactics. The results of a negotiation experiment show that, while powerful retailers do tend to have the upper hand in negotiating SBT contracts, weak suppliers could ameliorate or even overcome retailer power by offering services as a concession in a way that the product-service bundle improves the value of their offerings in the eyes of the retailers.
In the first chapter, SBT contracts are analyzed through the lens of Agency Theory. By focusing on unique inventory ownership and risks considerations resulting from retailers managing supplier-owned inventory without bearing the cost of inventory shrinkage, the effect of SBT on inventory shrinkage is examined empirically using a data set from a packaged bakery manufacturer. The results show that inventory shrinkage tends to be higher under SBT contracts compared to traditional vendor-managed inventory (VMI) contracts. The study highlights a potential loss in efficiency in food supply chains reflected in higher shrinkage under SBT contracts.
The second chapter aims to identify conditions under which SBT contracts could be mutually beneficial for retailers and suppliers. Using stylized game theoretic models involving a retailer and a supplier of a product with limited shelf life, the study finds that, while inventory shrinkage may be amplified under SBT contracts compared to VMI contracts due to the decreased retailer’s incentive to manage inventory at the store, SBT could help suppliers minimize inventory overage and underage under high demand uncertainty. The integrative potential for SBT contracts, thus, lies in the trade-off between inventory shrinkage and forecasting accuracy.
In the third paper, the role of bargaining power on the performance of SBT contracts is examined. Based on the bargaining literature, it is hypothesized that perceptions of bargaining power can be reshaped in the bargaining process through concession tactics. The results of a negotiation experiment show that, while powerful retailers do tend to have the upper hand in negotiating SBT contracts, weak suppliers could ameliorate or even overcome retailer power by offering services as a concession in a way that the product-service bundle improves the value of their offerings in the eyes of the retailers.
ContributorsChoi, Min (Author) / Rabinovich, Elliot (Thesis advisor) / Richards, Timothy (Committee member) / Grebitus, Carola (Committee member) / Dooley, Kevin (Committee member) / Arizona State University (Publisher)
Created2016
Description
The Internet of Things (IoT) refers to the system of 'smart' inter-connected networked devices that contain sensors to communicate information to the Internet. Due to the complex and intricate nature of IoT technologies, in addition to the many applications of IoT, the IoT has the potential to revolutionize how we interact and work every day. The information gathered through IoT is aggregated and can be used to improve business decision making, as well as contribute to a greater society. IoT spans various market sectors including retail, energy, and transportation. IoT can also be used to improve efficiencies within the supply chain. By increasing the transparency of items in-transit, in addition to providing greater visibility about inventory usage and consumer consumption habits, there are many implications of IoT that can be utilized to transform logistical processes. While some literature exists that discusses the impact of the IoT on the supply chain, the findings are limited in size and scope and tend to focus on particular implementations of IoT technologies. Further research is necessary to evaluate the impact of IoT to advance supply chain best practices and to understand the potential implications of the IoT in improving supply chain planning and distribution. This thesis aims to address this gap in the literature. By focusing on supply chain management, the thesis will look at the context in which the IoT operates, the market and implications of IoT devices, current logistics processes, the capabilities of IoT, as well as the potential problems and weaknesses with the implementation of the IoT.
ContributorsBentley, Garrett Burton (Author) / Rabinovich, Elliot (Thesis director) / Kellso, James (Committee member) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
My thesis project explored Amazon's private label and how third-party sellers can protect their products. My study aimed to find ways that third-party sellers can prevent Amazon’s private labels from entering their product space while also developing strategies that third-party sellers can implement to protect themselves from Amazon's private label brands. Ultimately finding that success on Amazon requires strategic thinking and a commitment to delivering value to customers, and third-party sellers who prioritize these goals will be well-positioned for long-term success.
ContributorsPickren, Ethan (Author) / Rabinovich, Elliot (Thesis director) / Davila, Eddie (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2023-05
Description
Nonprofits and humanitarian organizations play a critical role in the modern world. Yet, to operate sustainably, they often encounter challenges including financial insecurity and operational obstacles. My dissertation investigates nonprofits' decisions and strategies for delivering sustainable services from the perspectives of financial security and operations in short- and long-term horizons.The first chapter is focused on the role of governance quality in nonprofits' donation income. Donors, generally, support charities that maintain higher program spending ratios (PSR). Yet, PSR does not reflect charities' actual social impact, and a focus on PSR may eventually limit their capacity in providing humanitarian aid. Since 2008, as a result of a policy change by the U.S. Internal Revenue Service, nonprofits are able to better display their governance quality. My empirical investigation shows that governance quality is now an important factor in driving donations to nonprofits, although PSR still remains a key driver. Results suggest that nonprofits should consider improving their governance quality in their strategies for securing donation income, although that may lead to lower PSRs.
Pressures resulted from the focus on PSR encourage nonprofits to prioritize strategies that enable them to report higher program expenses. In the second chapter, I empirically examine one of these strategies, grant provision, that allows nonprofits to increase their reported program expenses without having to spend their funds on their own programs. I find that providing grants to other organizations enables nonprofits to earn more revenue and make a bigger social impact in the long term, but this strategy increases the administrative burden needed to make an impact.
Given the challenges in coordination and lack of effective coordinated response in humanitarian operations, in the third chapter, I develop a non-cooperative game theoretical model to analyze horizontal coordination among non-governmental organizations in disaster relief operations in centralized and decentralized models. I show that coordination does not always maximize social welfare, and time inefficiencies due to bureaucracies involved in coordination mechanisms are substantial obstacles against higher levels of coordination, especially in urgent response operations. I also show that decentralization of coordination mechanisms increases both coordination levels and social welfare.
ContributorsParsa, Iman (Author) / Efrekhar, Mahyar (Thesis advisor) / Webster, Scott (Committee member) / Corbett, Charles J. (Committee member) / Arizona State University (Publisher)
Created2022
Description
As Charles Darwin’s evolution theory reveals, it is not the strongest species that survive, but those most responsive to change. This principle also applies in the realm of operations management, where managers shall creatively redesign operations to address new challenges. This dissertation presents three cases where renovating traditional operations cost-effectively solves emerging problems, including fraudulent reviews on online platforms (Chapter 1), inefficient strategy design of advertisers (Chapter 2), and inadequate user participation in global procurement initiatives (Chapter 3). I demonstrate that such a practice not only enhances operational efficiency but promotes social welfare. The first two chapters examine operational renovation in the private sector, while the third focuses on the public sector. Specifically, Chapter 1 investigates sellers’ review manipulation on e-commerce platforms and shows that platforms may not be as committed to combating fake reviews as they claim to be. To mitigate this problem, I craft a game-theoretic model and illustrate that restructuring return policies – an essential, long-established operation – can inhibit review manipulation. Chapter 2 analyzes geofencing, an emerging advertising strategy that enables advertisers to send ads to consumers within a virtual fencing zone. While extant literature shows the usefulness of geofencing, the optimal implementation of the strategy remains unclear. Therefore, I analytically examine the optimal operations of geofencing. The findings suggest that the typical practice of setting the geofence around the advertiser’s store is not cost-efficient. Advertisers shall think outside of the box and consider placing the fencing zone elsewhere. My proposed geofencing location and radius could increase resource utilization, advertising efficacy, and consumer welfare. Chapter 3 switches the focus to the public sector, addressing the unaffordability of health products in low- to middle-income countries (LMICs). Social planners have managed procurement pools to help LMICs access health products, yet countries’ willingness to join the pool can vary greatly. A lack of country participation would jeopardize the success of pooled procurement. To encourage more countries to join, I design a procurement mechanism that considers countries’ heterogeneous preferences, disease burdens, and ability to pay. This proposed mechanism, with an appropriately designed subsidy plan, could maximize the aggregate social welfare.
ContributorsChen, Xiangjing (Olivia) (Author) / Webster, Scott (Thesis advisor) / Wang, Yimin (Thesis advisor) / Ho, Yi-Jen (Ian) (Committee member) / Arizona State University (Publisher)
Created2023
Description
Evidence is mounting to address and reverse the effects of environmental neglect. Perhaps the greatest evidence for needing environmental stewardship originates from the ever-increasing extreme weather events ranging from the deadly wildfires scorching Greece and California to the extreme heatwaves in Japan. Scientists have concluded that the probability and severity for about two thirds of such extreme natural events that occurred between 2004 and 2018 is contributed by rising global temperatures.
Operations management literature regarding environmental issues have typically focused on the “win-win” approach with a multitude of papers investigating a link between sustainability and firm performance. This dissertation seeks to take a different approach by investigating firm responses to climate change. The first two essays explore firm emissions goals and the last essay investigates firm emissions performance.
The first essay identifies firm determinants of greenhouse gas (GHG) reduction targets. The essay leverages Behavioral Theory of the Firm (BTOF) and argues for two additional determinants, Data Stratification and Science-Based Targets, unique to GHG emissions. Utilizing system generalized method of moments on a dataset from Carbon Disclosure Project for years 2011-2017, the paper finds partial confirmation for BTOF and support for the two additional determinants of firm GHG emission goals.
The second essay is an exploratory study that seeks to understand factors for firm participation in the Science-Based Targets (SBT) initiative by combining both primary and secondary data analysis. The study is a working paper with primary data still needing to be completed. Secondary data analysis begins with a review of the literature which suggested four potential factors: ISO 14001 certification, Customer Engagement, Emission Credit Purchases, and presence of Absolute Emissions Targets. Preliminary results using panel logistic regression suggest that Emissions Credit Purchases and Absolute Emissions Targets influence SBT participation.
The third essay seeks to understand whether stakeholder pressure drives firm GHG emissions reductions. This relies on Stakeholder Theory and classification schemes proposed in Management literature to divide stakeholders, based on their relationship with the firm, into three groups: primary, secondary, and public. Random effects estimation results provide evidence for primary and public stakeholder pressure impacting firm GHG emissions.
ContributorsHsu, Ta Kang (Author) / Dooley, Kevin J (Thesis advisor) / Rabinovich, Elliot (Committee member) / Corbett, Charles J. (Committee member) / Arizona State University (Publisher)
Created2020