Download Free Intertemporal Segmentation Via Flexible Duration Group Buying Book in PDF and EPUB Free Download. You can read online Intertemporal Segmentation Via Flexible Duration Group Buying and write the review.

(1) Problem definition: We study a special form of group buying: the group buying succeeds only if the number of sign-ups reaches a preset threshold, with no duration constraint. Customers with heterogeneous valuations arrive sequentially and decide between signing up for the group buying or purchasing a regular product. To decide on whether to join the group buying, customers need to anticipate their expected waiting time, which varies depending on the cumulative sign-ups by the time of their arrival. The firm decides on the prices of the group-buying product and regular product, with the product quality levels and group-buying size exogenously determined. (2) Academic/Practical relevance: Such type of group buying is often adopted for a special edition of the product and offered alongside a constantly available regular product. (3) Methodology: We study the product line design with the group-buying sign-up behavior of customers characterized by the rational expectations equilibrium in a random pledging process. (4) Results: We show that group buying with flexible duration can result in intertemporal customer segmentation, as different segments might be admitted at different times in the dynamic sign-up process. Such intertemporal segmentation is a natural discrimination scheme and has non-trivial implications. First, the efficiency loss due to waiting for enough sign-ups may decrease in the batch size required for economic production. Second, as valuation heterogeneity in the market increases, the firm may not always benefit from offering group buying along with the regular product. Third, group buying can achieve a win-win-win situation for both high-end and low-end customers as well as the firm. (5) Managerial implications: In addition to demonstrating the profitability of offering flexible-duration group buying, the firm can strengthen its profitability by contingently setting prices or concealing sign-up information in group buying. We also confirm the robustness of our main insights by considering customers' heterogeneous patience levels, and horizontally differentiated products, among others.
This edited book examines the challenges and opportunities arising from today’s sharing economy from an operations management perspective. Individual chapter authors present state-of-the-art research that examines the general impact of sharing economy on production and consumption; the intermediary role of a sharing platform; crowdsourcing management; and context-based operational problems. Sharing economy refers to a market model that enables and facilitates the sharing of access to goods and services. For example, Uber allows riders to share a car. Airbnb allows homeowners to share their extra rooms with renters. Groupon crowdsources demands, enabling customers to share the benefit of discounted goods and services, whereas Kickstarter crowdsources funds, enabling backers to fund a project jointly. Unlike the classic supply chain settings in which a firm makes inventory and supply decisions, in sharing economy, supply is crowdsourced and can be modulated by a platform. The matching-supply-with-demand process in a sharing economy requires novel perspectives and tools to address challenges and identify opportunities. The book is comprised of 20 chapters that are divided into four parts. The first part explores the general impact of sharing economy on the production, consumption, and society. The second part explores the intermediary role of a sharing platform that matches crowdsourced supply with demand. The third part investigates the crowdsourcing management on a sharing platform, and the fourth part is dedicated to context-based operational problems of popular sharing economy applications. “While sharing economy is becoming omnipresence, the operations management (OM) research community has begun to explore and examine different business models in the transportation, healthcare, financial, accommodation, and sourcing sectors. This book presents a collection of the state-of-the-art research work conducted by a group of world-leading OM researchers in this area. Not only does this book cover a wide range of business models arising from the sharing economy, but it also showcases different modeling frameworks and research methods that cannot be missed. Ultimately, this book is a tour de force – informative and insightful!” Christopher S. Tang Distinguished Professor and Edward Carter Chair in Business Administration UCLA Anderson School of Management
A new approach to dynamic allocation and pricing that blends dynamic paradigms from the operations research and management science literature with classical mechanism design methods. Dynamic allocation and pricing problems occur in numerous frameworks, including the pricing of seasonal goods in retail, the allocation of a fixed inventory in a given period of time, and the assignment of personnel to incoming tasks. Although most of these problems deal with issues treated in the mechanism design literature, the modern revenue management (RM) literature focuses instead on analyzing properties of restricted classes of allocation and pricing schemes. In this book, Alex Gershkov and Benny Moldovanu propose an approach to optimal allocations and prices based on the theory of mechanism design, adapted to dynamic settings. Drawing on their own recent work on the topic, the authors describe a modern theory of RM that blends the elegant dynamic models from the operations research (OR), management science, and computer science literatures with techniques from the classical mechanism design literature. Illustrating this blending of approaches, they start with well-known complete information, nonstrategic dynamic models that yield elegant explicit solutions. They then add strategic agents that are privately informed and then examine the consequences of these changes on the optimization problem of the designer. Their sequential modeling of both nonstrategic and strategic logic allows a clear picture of the delicate interplay between dynamic trade-offs and strategic incentives. Topics include the sequential assignment of heterogeneous objects, dynamic revenue optimization with heterogeneous objects, revenue maximization in the stochastic and dynamic knapsack model, the interaction between learning about demand and dynamic efficiency, and dynamic models with long-lived, strategic agents.
"This white paper focusses on the policy interventions made to help people manage risk, uncertainty and the losses from events whose impacts are channeled primarily through the labor market. The objectives of the white paper are: to scrutinize the relevance and effects of prevailing risk-sharing policies in low- and middle-income countries; take account of how global drivers of disruption shape and diversify how people work; in light of this diversity, propose alternative risk-sharing policies, or ways to augment and improve current policies to be more relevant and responsive to peoples' needs; and map a reasonable transition path from the current to an alternative policy approach that substantially extends protection to a greater portion of working people and their families. This white paper is a contribution to the broader, global discussion of the changing nature of work and how policy can shape its implications for the wellbeing of people. We use the term risk-sharing policies broadly in reference to the set of institutions, regulations and interventions that societies put in place to help households manage shocks to their livelihoods. These policies include formal rules and structures that regulate market interactions (worker protections and other labor market institutions) that help people pool risks (social assistance and social insurance), to save and insure affordably and effectively (mandatory and incentivized individual savings and other financial instruments) and to recover from losses in the wake of livelihood shocks ('active' reemployment measures). Effective risk-sharing policies are foundational to building equity, resilience and opportunity, the strategic objectives of the World Bank's Social Protection and Jobs Global Practice. Given failures of factor markets and the market for risk in particular the rationale for policy intervention to augment the options that people have to manage shocks to their livelihoods is well-understood and accepted. By helping to prevent vulnerable people from falling into poverty --and people in the poorest households from falling deeper into poverty-- effective risk-sharing interventions dramatically reduce poverty. Households and communities with access to effective risk-sharing instruments can better maintain and continue to invest in these vital assets, first and foremost, their human capital, and in doing so can reduce the likelihood that poverty and vulnerability will be transmitted from one generation to the next. Risk-sharing policies foster enterprise and development by ensuring that people can take appropriate risks required to grasp opportunities and secure their stake in a growing economy."--
This book presents the basic model of an agricultural household that underlies most of the case studies undertaken so far. The model assumes that households are price-takers and is therefore recursive. The decisions modeled include those affecting production and the demand for inputs and those affecting consumption and the supply of labor. Comparative results on selected elasticities are presented for a number of economies. The empirical significance of the approach is demonstrated in a comparison of models that treat production and consumption decisions separately and those in which the decisionmaking process is recursive. The book summarizes the implications of agricultural pricing policy for the welfare of farm households, marketed surplus, the demand for nonagricultural goods and services, the rural labor market, budget revenues, and foreign exchange earnings. In addition, it is shown that the basic model can be extended in order to explore the effects of government policy on crop composition, nutritional status, health, saving, and investment and to provide a more comprehensive analysis of the effects on budget revenues and foreign exchange earnings. Methodological topics, primarily the data requirements of the basic model and its extensions, along with aggregation, market interaction, uncertainty, and market imperfections are discussed. The most important methodological issues - the question of the recursive property of these models - is also discussed.
A large percentage of workers and firms operate in the informal economy, outside the line of sight of governments in emerging market and developing economies. This may hold back the recovery in these economies from the deep recessions caused by the COVID-19 pandemic--unless governments adopt a broad set of policies to address the challenges of widespread informality. This study is the first comprehensive analysis of the extent of informality and its implications for a durable economic recovery and for long-term development. It finds that pervasive informality is associated with significantly weaker economic outcomes--including lower government resources to combat recessions, lower per capita incomes, greater poverty, less financial development, and weaker investment and productivity.
Since its initial publication, this text has defined courses in dynamic optimization taught to economics and management science students. The two-part treatment covers the calculus of variations and optimal control. 1998 edition.
At the start of each decade the World Development Report focuses on poverty reduction. The World Development Report, now in its twenty-third edition, proposes an empowerment-security-opportunity framework of action to reduce poverty in the first decades of the twenty-first century. It views poverty as a multidimensional phenonmenon arising out of complex interactions between assets, markets, and institutions. This Report shows how the experience of poverty reduction in the last fifteen years has been remarkably diverse and how this experience has provided useful lessons as well as warnings against simplistic universal policies and interventions. It shows how current global trends present extraordinary opportunities for poverty reduction but also cause extraordinary risks, including growing inequality, marginalization, and social explosions. The World Development Report 2000/2001 explores the challenge of managing these risks in order to make the most of the opportunities for poverty reduction.
Introduction: From the Washington Consensus towards a new global governance / Narcís Serra, Shari Spiegel, Joseph E. Stiglitz -- A short history of the Washington Consensus / John Williamson -- Inequality and redistribution / Paul Krugman -- Is there a post-Washington Consensus consensus? / Joseph E. Stiglitz -- The Barcelona development agenda -- A broad view of macroeconomic stability / José Antonio Ocampo -- The wild ones : industrial policies in the developing world / Alice H. Amsden -- Sudden stop, financial factors, and economic collapse in Latin America : learning from Argentina and Chile / Guillermo A. Calvo, Ernesto Talvi -- Towards a new modus operandi of the international financial system / Daniel Cohen -- The world trading system and implications of external opening / Jeffrey A. Frankel -- The world trading system and development concerns / Martin Khor -- Reforming labor market institutions : unemployment insurance and employment protection / Olivier Blanchard -- International migration and economic development / Deepak Nayyar -- The future of global governance / Joseph E. Stiglitz -- Growth diagnostics / Ricardo Hausmann, Dani Rodrik, Andrés Velasco -- A practical approach to formulating growth strategies / Dani Rodrik.