{"title":"The Role of Industry Studies and Public Policies in Production and Operations Management","authors":"N. Joglekar, Jane Davies, E. Anderson","doi":"10.2139/ssrn.2744143","DOIUrl":"https://doi.org/10.2139/ssrn.2744143","url":null,"abstract":"Industry studies and public policy (IS&PP) is a research domain that seeks to further our understanding of industrial practices and managerial challenges by explicitly considering contextual details in the design and interpretation of studies. These details can also be vital considerations when shaping public policies. This article reviews a sample of IS&PP publications and analyzes the content of 180 selected papers - 85 papers published in the Production and Operations Management (POM) journal and 95 research papers published in related journals between 1992 and 2014. Analysis of the sampled data set and examination of exemplar papers provide four findings. First, studies in different industries emphasize different themes of operational decisions. This difference in emphasis reveals potential research opportunities, especially for conducting inter-industry studies. Second, our analysis reveals a shift in focus. Earlier studies contain a mix of benchmarks and inter-industry comparisons, while the later studies tend to focus on context specific, single-industry studies. This trend highlights the potential for developing new measures and multi-method approaches. Third, we report on empirics-analytics-empirics cycles that reveal gaps for building novel theories. Finally, we observe that the relationship between POM decisions and public policy is bi-directional. This highlights the need to jointly examine operational decisions with policy considerations, especially in information goods, healthcare, sustainable operations and high-tech manufacturing industries.","PeriodicalId":153244,"journal":{"name":"System & Policy Design in Public Sector eJournal","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129738071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Indonesia Embraces the Data Science","authors":"Hokky Situngkir","doi":"10.2139/ssrn.2641757","DOIUrl":"https://doi.org/10.2139/ssrn.2641757","url":null,"abstract":"The information era is the time when information is not only largely generated, but also vastly processed in order to extract and generated more information. The complex nature of modern living is represented by the various kind of data. Data can be in the forms of signals, images, texts, or manifolds resembling the horizon of observation. The task of the emerging data sciences are to extract information from the data, for people gain new insights of the complex world. The insights may come from the new way of the data representation (function of R(x) over data x), be it a visualizations, mapping, or other. The insights may also come from the implementation of mathematical analysis and/or computational processing (function A(x) over data x) giving new insights of what the states of the nature represented by the data. Both ways implement the methodologies reducing the dimensionality of the data. The relations between the two functions, R(x) and A(x) are the heart of how information in data is transformed mathematically and computationally into new information. The paper discusses some practices, along with various data coming from the social life in Indonesia becoming the variables within R(x) and A(x) to gain new insights about Indonesia in the emerging data sciences. The data sciences in Indonesia has made Indonesian Data Cartograms, Indonesian Celebrity Sentiment Mapping, Ethno-Clustering Maps, social media community detection, and a lot more to come, become possible. All of these are depicted as the exemplifications on how “data science” has become integral part of the technology bringing data closer to people.","PeriodicalId":153244,"journal":{"name":"System & Policy Design in Public Sector eJournal","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124733457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling for Transition Management","authors":"É. Chappin, G. Dijkema","doi":"10.2139/ssrn.2618413","DOIUrl":"https://doi.org/10.2139/ssrn.2618413","url":null,"abstract":"A framework for the modeling and simulation of transitions is presented. A transition, “substantial change in the state of a socio-technical system”, typically unfolds over a long timespan. We therefore suggest to use simulation to inform transition managers on the effect of their decisions. Transition models preferably meet five functional requirements: to allow for the representation of physical and social components, for material and immaterial interactions, to allow the system structure to change, to compute transition indicators and to capture the effect of interventions. Modeling the decarbonization of the power sector illustrates that an agent-based model allows us to let both the content and the structure of a system to emerge in a simulation.","PeriodicalId":153244,"journal":{"name":"System & Policy Design in Public Sector eJournal","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126561082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sustaining Highly-Fragile Collaborations: A Study of Planning Mega Infrastructure Projects in the UK","authors":"N. Gil","doi":"10.2139/ssrn.2557370","DOIUrl":"https://doi.org/10.2139/ssrn.2557370","url":null,"abstract":"This study discusses the sustainability of highly-fragile, consensus-oriented developments which rely on voluntary contributions of resources. The research is grounded on a dataset of interorganizational controversies that arose during the planning of four mega infrastructure projects in the UK. It uses Design Structure Matrices to qualify the decomposability of the design structures and of the structures that govern high-level decisions to set performance expectations. The analysis shows that fixed deadlines, tight budgets and equity concerns constrain efforts to decentralise governance and seek local consensuses. Time constraints also bring to the fore mutual-gains bargaining and compromise-seeking despite genuine efforts to engage in deliberative decision-making and effective collaboration. Hence, I argue, sustaining these pluralistic enterprises is per se a measure of positive performance. The study suggests four mechanisms that allow carrying the parties along as the development inches forward: loosening local targets, global buffers, flexible designs in use; and an umpire — an actor accountable to all parties and empowered to settle disputes.","PeriodicalId":153244,"journal":{"name":"System & Policy Design in Public Sector eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125942161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Strategic Commitment to a Production Schedule with Uncertain Supply and Demand: Renewable Energy in Day-Ahead Electricity Markets","authors":"Nur Sunar, J. Birge","doi":"10.1287/mnsc.2017.2961","DOIUrl":"https://doi.org/10.1287/mnsc.2017.2961","url":null,"abstract":"We consider a day-ahead electricity market that consists of multiple competing renewable firms (e.g., wind generators) and conventional firms (e.g., coal-fired power plants) in a discrete-time setting. The market is run in every period, and all firms submit their price-contingent production schedules in every day-ahead market. Following the clearance of a day-ahead market, in the next period, each (renewable) firm chooses its production quantity (after observing its available supply). If a firm produces less than its cleared day-ahead commitment, the firm pays an undersupply penalty in proportion to its underproduction. We explicitly characterize firms’ equilibrium strategies by introducing and analyzing a supply function competition model. The purpose of an undersupply penalty is to improve reliability by motivating each firm to commit to quantities it can produce in the following day. We prove that in equilibrium, imposing or increasing a market-based undersupply penalty rate in a period can result in a...","PeriodicalId":153244,"journal":{"name":"System & Policy Design in Public Sector eJournal","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122003765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Minimizing the Probability of Ruin in Retirement","authors":"Christopher J. Rook","doi":"10.2139/ssrn.2420747","DOIUrl":"https://doi.org/10.2139/ssrn.2420747","url":null,"abstract":"Retirees who exhaust their savings while still alive are said to experience financial ruin. These savings are typically grown during the accumulation phase then spent during the retirement decumulation phase. Extensive research into invest-and-harvest decumulation strategies has been conducted, but recommendations differ markedly. This has likely been a source of concern and confusion for the retiree. Our goal is to find what has heretofore been elusive, namely an optimal decumulation strategy. Optimality implies that no alternate strategy exists or can be constructed that delivers a lower probability of ruin, given a fixed inflation-adjusted withdrawal rate.","PeriodicalId":153244,"journal":{"name":"System & Policy Design in Public Sector eJournal","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121144215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Developing a Model of Total Quality Management for Primary School Education in India","authors":"K. Gopalan","doi":"10.2139/SSRN.2409888","DOIUrl":"https://doi.org/10.2139/SSRN.2409888","url":null,"abstract":"This paper examines the concept and strategies of Total Quality Management (TQM), in order to develop a model of TQM based school education for implementation in primary education in India. It begins with a description of challenges of Indian education. After defining the concept of TQM, a philosophy developed for industry by W.E. Deming and adapted to education, it examines its application in the U.S.A. and U.K. A study of the differences between the two nations leads to the analysis that TQM succeeds best as a local school-based initiative. TQM is adaptable as a generic model suitable to the diversity in Indian education. The paper posits a model for TQM in schools, along with enabling conditions and possible pitfalls. TQM is an attitude towards school improvement broad enough to encompass the multifarious needs for school reform in India. Based on the research work in the primary schools of Karnataka, a detailed blueprint for reform is evolved, which incorporates the TQM way of thinking with the major requirements for school improvement. These include: systemic thinking with the school as unit, a decentralized structure, teacher development, teamwork and collegiality, school-level leadership, involvement of the community, focus on the process of learning, and non-threatening assessment.","PeriodicalId":153244,"journal":{"name":"System & Policy Design in Public Sector eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133239429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sveinn Vidar Gudmundsson, S. Paleari, Renato Redondi
{"title":"Spillover Effects of the Development Constraints in London Heathrow Airport","authors":"Sveinn Vidar Gudmundsson, S. Paleari, Renato Redondi","doi":"10.2139/ssrn.2380226","DOIUrl":"https://doi.org/10.2139/ssrn.2380226","url":null,"abstract":"In this article we assess the growth impact of London Heathrow’s development constraints on other airports in the UK. To test the relationship we use a two-stage methodology yielding an estimate of a congestion spillover effect. Our data are passenger traffic from 1990 to 2012 containing both intercontinental and European air traffic. For intercontinental air traffic, our results show high congestion spillover effect between Heathrow and Gatwick airports, and significant but lesser effect to Stansted airport. We also find significant congestion spillover effects from Heathrow to the spatially more distant Manchester and Birmingham airports, showing the extensive spatial impact of Heathrow’s development constraints. For European air traffic, controlling for low-cost air carrier growth, only two airports show significant congestion spillover effects: Gatwick and London City Airports. Illustrating that low-cost carriers do not operate from Heathrow, so its limitations cannot affect the predominant low-cost air traffic in other airports. The novel methodology we present in this paper can be applied to congestion research in general to assess regional and modal spills within networks.","PeriodicalId":153244,"journal":{"name":"System & Policy Design in Public Sector eJournal","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121822150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Politics of Big Data: A Three-Level Analysis","authors":"Alon Peled","doi":"10.2139/ssrn.2315891","DOIUrl":"https://doi.org/10.2139/ssrn.2315891","url":null,"abstract":"What role does politics play in the emerging Big Data domain? The paper argues that Big Data political power struggles surface at three distinct levels of analysis: the social sciences, the information state, and bureaucratic politics. At the social sciences level of analysis, Big Data threatens to divide social scientists into antagonistic methodological camps as it does not conform to traditional research techniques. At the information state level of analysis, a handful of powerful agencies and corporations created around data generation are consolidating their competitive advantage and are unlikely to support important data access and privacy protections. The one brighter spot for Big Data is found inside governmental bureaucracy. Here, trends such as “governance by numbers” at the sub-national level and mutually profitable data exchanges at the national level suggest that Big Data may propel agencies to share information better. The article concludes with a proposal to view Dr. John Snow and his work to stop the cholera epidemic in central London in 1854 as an early harbinger of the Big Data movement. Snow’s work displays redeeming features that may mitigate less desirable effects of Big Data projects across the three levels of analysis. These features are a sense of purpose, ingenuity, clever data collection design, collaboration, humility and humanity.","PeriodicalId":153244,"journal":{"name":"System & Policy Design in Public Sector eJournal","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127294665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Capacity Payment Impact on Gas-Fired Generation Investments under Rising Renewable Feed-In -- A Real Options Analysis","authors":"Daniel Hach, S. Spinler","doi":"10.2139/ssrn.2258386","DOIUrl":"https://doi.org/10.2139/ssrn.2258386","url":null,"abstract":"We assess the effect of capacity payments on investments in gas-fired power plants in the presence of different degrees of renewable energy technology (RET) penetration. Low variable cost renewables increasingly make investments in gas-fired generation unprofitable. At the same time, growing feed-in from intermittent RETs amplifies fluctuations in power generation, thus entailing the need for flexible buffer capacity—currently mostly gas-fired power plants. A real options approach is applied to evaluate investment decisions and timing of a single investor in gas-fired power generation. We investigate the necessity and effectiveness of capacity payments. Our model incorporates multiple uncertainties and assesses the effect of capacity payments under different degrees of RET penetration. In a numerical study, we implement stochastic processes for peak-load electricity prices and natural gas prices. We find that capacity payments are an effective measure to promote new gas-fired generation projects. Especially in times of high renewable feed-in, capacity payments are required to incentivize peak-load investments.","PeriodicalId":153244,"journal":{"name":"System & Policy Design in Public Sector eJournal","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116486120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}