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Relevant bibliographies by topics / Business on Demand

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Academic literature on the topic 'Business on Demand'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Business on Demand"

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O'Farrell, Patrick N. "Manufacturing demand for business services." Cambridge Journal of Economics 19, no. 4 (1995): 523–43. http://dx.doi.org/10.1093/oxfordjournals.cje.a035329.

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Ravikumar, K., Atul Saroop, H. K. Narahari, and Pankaj Dayama. "Demand sensing in e-business." Sadhana 30, no. 2-3 (2005): 311–45. http://dx.doi.org/10.1007/bf02706250.

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Thavikulwat, Precha. "Modeling Market Demand in a Demand-Independent Business Simulation." Simulation & Games 20, no. 4 (1989): 439–58. http://dx.doi.org/10.1177/104687818902000403.

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McFadden, Roger D. "The Business Case for Transitioning to Safer Chemicals." NEW SOLUTIONS: A Journal of Environmental and Occupational Health Policy 21, no. 3 (2011): 403–16. http://dx.doi.org/10.2190/ns.21.3.g.

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Emerging domestic and international chemical regulations and a heightened consumer awareness of chemicals of concern in products is challenging American businesses to reevaluate and reconsider their approaches to supply chain management and product design. Some of these companies recognize business opportunities and are responding proactively with innovative strategies and tactics. This article describes steps that Staples Inc., the world's largest office products provider, is taking to meet demand for products that are safer and more sustainable. In trying to meet the demand for safer products, Staples faces significant barriers, including the complexity of supply chains, data gaps, and confidential business information. New collaborations between companies, government, and advocates, and improved tools and criteria for defining safer products enhance the ability of businesses, like Staples, to meet new consumer demands.

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Lindner, Maik A., Luis M. Vaquero, Luis Rodero Merino, and Juan Caceres. "Cloud economics: dynamic business models for business on demand." International Journal of Business Information Systems 5, no. 4 (2010): 373. http://dx.doi.org/10.1504/ijbis.2010.032938.

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Tamegawa, Kenichi. "DEMAND UNCERTAINTY, INVENTORY AND BUSINESS CYCLES." Journal of Business Economics and Management 15, no. 4 (2014): 664–83. http://dx.doi.org/10.3846/16111699.2014.953569.

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This paper introduces demand uncertainty and inventory into a dynamic stochastic general equilibrium model. We assume that firms must predict demand before production. The purpose of this study is to investigate the effects of several exogenous shocks on the model economy in our settings. A numerical simulation using our model shows the following results. When shocks that raise expected demand are given, inventory stocks increase because output exceeds demand. In the next period, firms release the inventory stock, reducing excess stock and decreasing output. Thus, inventory adjustment causes recession. This result implies that cyclical movement (economic boom and bust) continues until variables return to the steady state. Furthermore, we confirm that our model can reproduce stylized facts for inventory movements and enhance empirical fit relative to the model without inventory.

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Chant, Elizabeth M., and David A. Walker. "Small business demand for trade credit." Applied Economics 20, no. 7 (1988): 861–76. http://dx.doi.org/10.1080/00036848800000012.

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Nathan, Richard, and David Swinbanks. "Scientists with business flair in demand." Nature 394, no. 6693 (1998): 601–2. http://dx.doi.org/10.1038/29114.

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Contino, Diana S. "Supply and demand: It's your business." Nursing Management (Springhouse) 32, no. 12 (2001): 20–21. http://dx.doi.org/10.1097/00006247-200112000-00007.

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Beaudry, Paul, and Franck Portier. "Understanding Noninflationary Demand-Driven Business Cycles." NBER Macroeconomics Annual 28, no. 1 (2014): 69–130. http://dx.doi.org/10.1086/674592.

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Dissertations / Theses on the topic "Business on Demand"

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Schwartz, Eva-Maria. "Einsatz von Empfehlungssystemen bei „Business on Demand“." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-142814.

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Schwartz, Eva-Maria. "Einsatz von Empfehlungssystemen bei „Business on Demand“." Technische Universität Dresden, 2010. https://tud.qucosa.de/id/qucosa%3A28018.

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Gray, Obra L. "Supply and demand for business education in naval aviation." Monterey, California. Naval Postgraduate School, 2005. http://hdl.handle.net/10945/10032.

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MBA Professional Report<br>In light of the Navy's transformation plan, advanced business education is increasing in importance. As part of the Navy's Sea Power 21 strategy, Sea Enterprise encourages Naval Aviation to steer historical management practices towards better business practices. As pilots and Naval Flight Officers evolve from Mission Commander to Commanding Officer, they must be equipped with requisite business skill sets to engage the challenge of balancing aircraft modernization with current readiness. This project analyzes the supply and demand for postgraduate business education to determine how prepared Naval Aviation is to achieve long-term transformation objectives. The results show that 25 percent of all aviation officers (O-1 to O- 6) have a graduate business degree; 17 percent of Commanding Officers with advanced degrees have a business specialization; and 2.5 percent of aviation officer billets require a postgraduate business degree. Recommendations to better prepare the aviation community for the Sea Enterprise environment include: (1) Early emphasis of graduate business education, (2) Promote advanced business education as a major career milestone, (3) Tie first shore tour assignments to graduate business education, and (4) Increase the overall billet requirement for advanced business degrees. These improvements may greatly enhance the Navy's efforts towards achieving its transformation goals.

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Mericle, David. "Income Risk and Aggregate Demand over the Business Cycle." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10216.

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This dissertation consists of three essays on income risk and aggregate demand over the business cycle, each addressing an aspect of the Great Recession. The ﬁrst chapter reframes the standard liquidity trap model to illustrate the costly feedback loop between idiosyncratic risk and aggregate demand. I ﬁrst show that a liquidity trap can result from excess demand for precautionary savings in times of high uncertainty. Second, I show that the output and welfare costs of the ensuing recession depend crucially on how the drop in demand for output is translated into a reduction in demand for labor. Increased unemployment risk compounds the original rise in idiosyncratic productivity risk and reinforces precautionary motives, deepening the recession. Third, I show that increasing social insurance can raise output and welfare at the zero bound. I decompose these effects to distinguish the component unique to the liquidity trap environment and show that social insurance is most effective at the zero bound when it targets the type of idiosyncratic risk households face, which in turns depends on the labor market adjustment mechanism. The second paper offers a novel model of the connection between the consumer credit and home mortgage markets through an individual’s credit history. This paper introduces a novel justiﬁcation for the home mortgage interest deduction. In an economy with both housing assets and consumer credit, the mortgage interest deduction is modeled as a subsidy for the accumulation of collateralizable assets by households who have maintained good credit. As such, the subsidy loosens participation constraints and facilitates risk-sharing. Empirical evidence and a calibration exercise reveal that the subsidy has a sizable impact on the availability of credit. The third paper assesses the role of policy uncertainty in the Great Recession. The Great Recession features substantial geographic variation in employment losses, a fact that is often presented as a challenge to uncertainty-based models of the downturn. In this paper we show that there is a substantial correlation between the distribution of employment losses and the increases in local measures of both economic and policy uncertainty. This relationship is robust across a wide range of measures.<br>Economics

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Arora, Neeraj. "A hierarchical model to study primary demand." The Ohio State University, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=osu1277406634.

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Zhou, Weihua. "Optimal operation policies with heterogeneous demand /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?IELM%202007%20ZHOU.

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Rhee, Zusun. "Two essays on slotting allowances under demand uncertainty." The Ohio State University, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=osu1273591737.

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Hamwi, Michael. "Understanding and analysing business models in the context of energy transition. Proposition of the DRBMC (Demand Response Business Model Canvas) to design new entrepreneur's business model in “Demand Response” markets." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0114/document.

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L'accumulation de gaz à effet de serre dans l'atmosphère, produite par des activités anthropiques notamment dans le secteur de l’énergie est une des causes principales du changement climatique. Par conséquent, réaliser une véritable transition énergétique par une décarbonisation des réseaux électriques est devenue un besoin urgent pour atténuer les effets du réchauffement climatique. Dans cette transition, l’introduction des énergies renouvelables a été initiée depuis plusieurs années, principalement en raison de la participation de nouveaux acteurs à ce marché. Aujourd’hui, l’un des grands défis est de maintenir l’équilibre et la sécurité du réseau électrique en tenant compte de la diversité et de la variabilité des ressources énergétiques renouvelables connectées au réseau. L’une des approches permettant de régler ce problème et d’accroître la flexibilité du réseau électrique par ce que l’on désigne comme la Réponse à la Demande (RD). Cette thèse examine précisément ces nouvelles approches et montre l’intérêt de repenser les relations entre les différentes partie-prenantes pour faire émerger des nouveaux modèles d’affaires afin de déployer de nouvelles innovations au service de la transition énergétique. La méthodologie de recherche mise en œuvre de cette thèse consiste en une revue systématique de la littérature et une étude des données empiriques de 15 jeunes entreprises européennes du secteur de l’énergie. En conséquence, la thèse fournit à la communauté de la recherche (1) une méthode de classification pour catégoriser les différents modèles d’affaires de l’énergie (MAEs) et présente une première synthèse des MAE identifiés dans la littérature; (2) un cadre d’analyse des start-ups dans le secteur de l’énergie, complété par l’analyse de 15 start-ups de ce domaine; (3) un outil conceptuel pour l'innovation en matière de RD, appelé Canevas de Modèle d'Affaires de Réponse de Demande (CMARD), qui comprend 12 éléments interreliés. Ce canevas vise à évaluer les activités des offres de RD et à soutenir l'émergence de nouveau modèles d'affaires de RD. Ces résultats permettent de proposer un cadre analytique simplifié des pratiques existantes et peuvent également aider des entrepreneurs ou décideurs à explorer et concevoir de nouvelles offres sur le marché de la réponse à la demande<br>The accumulation of greenhouse gases in the atmosphere, produced by human activities in the energy sector is one of the main causes of climate change. Therefore, the decarbonization of power systems has become an urgent need the mitigate to the effects of climate change and achieve the energy transition. The share of renewable energy technologies has been increasing mainly due to the participation of new market players. Today, however, one of the great challenges is to maintain the electricity system’s balance and security despite the large amount of renewable energy resources connected to the grid. One of the approaches to deal with this issue and to increase power system flexibility is the Demand Response (DR). Moreover, scholars argue that business model innovation can act as an energy transition driver. This thesis examines business model innovations in the context of the energy transition by investigating emerging start-up business models. The implemented research methodology in this thesis consists of a systematic literature review and an investigation of empirical data of 15 European energy start-ups. As a result, the thesis provides the research community with (1) a grouping method to classify different Energy Business Models (EBMs) and an initial synthesis of the EBMs identified in the literature; (2) a framework to analyse start-ups in the energy sector, completed with the analysis of 15 energy start-ups; (3) and a conceptual tool for DR innovation, named as the Demand Response Business Model Canvas (DRBMC), which includes 12 interrelated elements. This canvas aims at evaluating DR activities and supporting the emergence of new DR business models. These results can also help entrepreneurs explore new demand response market opportunities, enabling a better understanding and providing a simplified analytic framework of existing business practices

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Jiang, Sida. "Modelling demand for high speed rail in Sweden. : Business trips." Thesis, KTH, Transportvetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-48031.

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Recently conducted revealed preference and stated choice surveys in Sweden have extended data availability for travel demand modelling. Refined models with destination and mode choice are herein developed mainly for the long-distance business-trip market in Sweden. With focus on the nonlinearity of crucial variables and the underlying pattern of unobserved correlation, general Box-Cox transformations as well as nested logit formulation together with other data techniques are employed. Finally, the model with best goodness of fit is recommended for the high-speed train (HST) prediction. The main findings implicate multiple impressive impacts of HST on the business trip market, as well as instructive and practical hints on the blueprint of business trip market in the long term.

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Jonsson, Mattias. "The business value of demand response for balance responsible parties." Thesis, Uppsala universitet, Elektricitetslära, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-223803.

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By using IT-solutions, the flexibility on the demand side in the electrical systems could be increased. This is called demand response and is part of the larger concept called smart grids. Previous work in this area has concerned the utilization of demand response by grid owners. In this thesis the focus will instead be shifted towards the electrical companies that have balance responsibility, and how they could use demand response in order to make profits. By investigating electrical appliances in hourly measured households, the business value from decreasing electrical companies’ power imbalances has been quantified. By an iterative simulation scheme an optimal value was found to be 977 SEK/year and appliance. It could however be shown that the value became larger for energy inefficient households, and that such consumers’ participation in a demand response market would be prioritized ahead of other measures like isolating walls is rather unlikely. Thermal appliance whose load depend on the outdoor temperature are less valuable for demand response during the summer months, and the annual value would increase if less seasonally dependent appliances were used. Additionally, by increasing the market price amplitudes and the imbalance price volatility, it could be shown that the potential for such demand response markets is larger in e.g. the Netherlands and Germany.

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Books on the topic "Business on Demand"

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Chase, Charles. Demand-Driven Forecasting. John Wiley & Sons, Ltd., 2009.

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Spencer, Douglas. IBM software for e-business on demand: Business transformation and the on demand software infrastructure. Maximum Press, 2004.

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Perry, Gail. Quickbooks 2010 on demand. Que Pub., 2010.

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Laura, Madeira, ed. Quickbooks 2010 on demand. Que Pub., 2010.

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QuickBooks 2009 on demand. Que Pub., 2009.

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Demand driven strategic planning. Routledge, 2012.

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Lorenzoni, Guido. A theory of demand shocks. National Bureau of Economic Research, 2006.

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Lorenzoni, Guido. A theory of demand shocks. National Bureau of Economic Research, 2006.

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I, Rivin Eugene, ed. Innovation on demand. Cambridge University Press, 2005.

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Microsoft Office 2007 on demand. Que Pub., 2007.

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Book chapters on the topic "Business on Demand"

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Taylor, Lester D. "Business Telecommunications Demand." In Telecommunications Demand in Theory and Practice. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0892-8_4.

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Zeng, Liangzhao, Boualem Benatallah, and Anne H. H. Ngu. "On Demand Business-to-Business Integration." In Cooperative Information Systems. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44751-2_30.

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Ivanov, Dmitry, Alexander Tsipoulanidis, and Jörn Schönberger. "Demand Forecasting." In Springer Texts in Business and Economics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94313-8_11.

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Ivanov, Dmitry, Alexander Tsipoulanidis, and Jörn Schönberger. "Demand Forecasting." In Springer Texts in Business and Economics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24217-0_11.

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Kilger, Christoph, and Michael Wagner. "Demand Planning." In Springer Texts in Business and Economics. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55309-7_7.

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Sato, Ryuzo, and Rama V. Ramachandran. "Utility and Demand." In Advances in Japanese Business and Economics. Springer Japan, 2013. http://dx.doi.org/10.1007/978-4-431-54430-2_4.

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Kolmar, Martin, and Magnus Hoffmann. "Supply and Demand." In Springer Texts in Business and Economics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-62662-8_4.

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Rasmussen, Svend. "Input Demand Functions." In Springer Texts in Business and Economics. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30200-8_7.

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Ferguson, Paul R., Glenys J. Ferguson, and R. Rothschild. "Demand: Understanding the Customer and the Market." In Business Economics. Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-22696-2_9.

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Langdana, Farrokh K. "Aggregate Demand: Setting the Stage for Demand-Side Stabilization." In Springer Texts in Business and Economics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32854-6_4.

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Conference papers on the topic "Business on Demand"

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Lee1, Seung-gil, and Sun Young Chang. "Study on the Wine Demand Model and Demand Determinants." In Business 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.70.04.

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Qu, Huashuai, Ilya O. Ryzhov, and Michael C. Fu. "Learning logistic demand curves in business-to-business pricing." In 2013 Winter Simulation Conference - (WSC 2013). IEEE, 2013. http://dx.doi.org/10.1109/wsc.2013.6721405.

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FENG, Jian, Bing LI, Kai ZHANG, Jianhua LIU, Sicheng ZHU, and Songsong CHEN. "Research and Design of Business Model for Power Demand Response Business." In 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2019. http://dx.doi.org/10.1109/ei247390.2019.9062067.

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Rozentale, Sarmite, Agita Livina, Sandra Brigsa, Aigars Andersons, and Ieva Kreituze. "Future labour market demand in vidzeme region, Latvia." In Business and Management 2016. VGTU Technika, 2016. http://dx.doi.org/10.3846/bm.2016.18.

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The objective of the study was to identify employers’ needs of the future labour market in 5–7 years in Vidzeme Region. The data were obtained from a quantitative survey of employers and expert interviews according to Delphi method. Experts believe that some brand new profession may appear, but mostly changes will affect the contents of the professions and the required skills. As regards the topicality of occupations within the next five years, the experts all agree on priority of information and communication services and related professions. The second most frequently mentioned is the processing industry, since a change in the working specifics will require employees, able to use complicated equipment.

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Negnevitsky, M., T. D. Nguyen, and M. de Groot. "Novel business models for Demand Response Exchange." In Energy Society General Meeting. IEEE, 2010. http://dx.doi.org/10.1109/pes.2010.5589432.

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Feng, Shiyu. "Research on Demand Control of Business Intelligence." In 2019 International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). IEEE, 2019. http://dx.doi.org/10.1109/mlbdbi48998.2019.00065.

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Borsche, Theodor, and Goran Andersson. "A review of demand response business cases." In 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). IEEE, 2014. http://dx.doi.org/10.1109/isgteurope.2014.7028916.

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Kim, Eunjin, Dongwoo Seo, Jaesung Kim, and Sung-Uk Park. "Demand Analysis of Modeling & Simulation for Innovation of National Manufacturing Productivity." In Business 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.70.12.

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Tang, Zhongjun, and Jing Xiao. "Tools for a New Demand Forecasting Paradigm "Individual Demand Forecasting'." In 2009 International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2009. http://dx.doi.org/10.1109/bife.2009.76.

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Yang, Biyu, Xu Wang, and Yuxin Huang. "Demand Analysis of Terminal Consumers of Online Shopping Based on Maslow Demand Theory." In First International Conference Economic and Business Management 2016. Atlantis Press, 2016. http://dx.doi.org/10.2991/febm-16.2016.9.

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Reports on the topic "Business on Demand"

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Ring, Colm. Evaluating online business-to-business demand generation through LinkedIn. University of Limerick, 2020. http://dx.doi.org/10.31880/10344/10133.

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Marshak, David. IBM’s “E-Business On Demand” Message. Patricia Seybold Group, 2003. http://dx.doi.org/10.1571/psgp5-15-03cc.

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Gray, Obra L. Supply and Demand for Business Education in Naval Aviation. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada435692.

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Mian, Atif, and Amir Sufi. Finance and Business Cycles: The Credit-Driven Household Demand Channel. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w24322.

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Nogueira Simões, Nádia. Labor Demand, Productivity and Business Cycle: Evidence From Portuguese Large Firms. DINÂMIA'CET-IUL, 2004. http://dx.doi.org/10.7749/dinamiacet-iul.wp.2004.40.

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Balla-Elliott, Dylan, Zoë Cullen, Edward Glaeser, Michael Luca, and Christopher Stanton. Business Reopening Decisions and Demand Forecasts During the COVID-19 Pandemic. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w27362.

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Herter, Karen, Seth Wayland, and Josh Rasin. Small Business Demand Response with Communicating Thermostats: SMUD's Summer Solutions Research Pilot. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/974442.

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Reiter, Patrick, Hannes Poier, Christian Holter, et al. Business Models of Solar Thermal and Hybrid Technologies. IEA SHC Task 55, 2019. http://dx.doi.org/10.18777/ieashc-task55-2019-0002.

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District Heating required annually 600 TWh in the European Union and represents more than 10% of the EUs heat demand. Fossil fuels are the major source for heat production. Approximately 5000 district heating grids in the EU are operated by burning fossil fuels valued at € 18 billion (600 TWh) and emitting more than 150 million tons of CO2 emissions every year.

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Banerjee, Onil, Juan M. Murguia, Martin Cicowiez, and Adela Moreda. The Integrated Economic-Environmental Modeling (IEEM) Platform Approach to Tourism Investment Analysis: An Application to Costa Rica. Inter-American Development Bank, 2020. http://dx.doi.org/10.18235/0002288.

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Public investment in different types of tourism, from business to leisure tourism, has differentiated impacts on local economies, environment, people and government revenues. A fully integrated analytical approach such as the Integrated Economic-Environmental Modeling (IEEM) Platform is required to capture these multi-dimensional impacts. Applying IEEM to public investment in tourism in Costa Rica we find: investing in a higher skilled labor force particularly in traditional tourism-related activities will improve household welfare; similar increases in demand across all types of tourism show that Health tourism generates the greatest impact on household welfare, while Business tourism has the best prospects for reducing unemployment; Business tourism generates the largest increase in government revenues, but also has the largest greenhouse gas emission footprint, and; the whole of economy perspective of IEEM that captures direct, indirect and induced impacts results in a higher Net Present Value estimation of the investment.

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Gettings, M., and J. MacDonald. Expansion of electric utility DSM (demand side management) services to small businesses. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5226735.

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