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Journal articles on the topic 'Demand Theory'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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1

Greenfield, Harry. "Surrogate Demand: A Note on Demand Theory." Challenge 43, no. 6 (November 2000): 109–14. http://dx.doi.org/10.1080/05775132.2000.11472183.

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2

Che-Ani, Adi Irfan, and Roslan Ali. "Facility management demand theory." Journal of Facilities Management 17, no. 4 (September 2, 2019): 344–55. http://dx.doi.org/10.1108/jfm-09-2018-0057.

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Purpose This study aims to confirm the inverse relationship between scheduled corrective maintenance (SCM) and corrective maintenance (CM) in health-care facility management. That is, the higher the SCM, the lower the demand for CM, and the lower the SCM, the higher the demand for CM. Furthermore, the study shows the importance of SCM as compared with CM in healthcare facilities. Design/methodology/approach This study investigated 28 services in facility engineering services for an exploratory study by using the open-ended approach of the grounded theory. Five years of data with a total of 20,480 SCM work orders and 84,837 CM work orders were extracted from the central management information system database. Data were analyzed using the Statistical Package for the Social Sciences program. Data were presented in the form of mathematical scores using descriptive statistics and correlation test to elaborate the variable characteristics and make conclusions. Findings This study provides empirical insights about the effectiveness of proactive maintenance in reducing breakdowns for systems or equipment in health-care facilities. Findings suggest that increasing SCM will reduce CM demands. Research limitations/implications The location approach, with restrictions to the comparison between CM and SCM, still allows for exploration, especially on the factors that can reduce the demand for correction. These factors include planned preventive maintenance, work flow process, level of competency of maintenance workers and health-care maintenance strategic planning. Practical implications Proactive maintenance is important in preventing dangerous occurrences in hospitals. Reducing breakdowns increases customer satisfaction. Therefore, this study shows implications to health-care maintenance organizations in the context of business strategic development. Originality/value Data are crucial in proving a hypothesis. This study confirms the evidence of facility management demand theory and highlights the inverse relationship between SCM and CM.
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3

Quah, John K.-H. "Weak axiomatic demand theory." Economic Theory 29, no. 3 (October 1, 2005): 677–99. http://dx.doi.org/10.1007/s00199-005-0017-y.

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4

Barr, D. G., and K. Cuthbertson. "Neoclassical Consumer Demand Theory and the Demand for Money." Economic Journal 101, no. 407 (July 1991): 855. http://dx.doi.org/10.2307/2233859.

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5

SCHMIDT, JENS, and THOMAS KEIL. "UNIQUE DEMAND COMPLEMENTARITIES -- A DEMAND-BASED THEORY OF DIVERSIFICATION." Academy of Management Proceedings 2010, no. 1 (August 2010): 1–6. http://dx.doi.org/10.5465/ambpp.2010.54499102.

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6

Tang, Chao Lan, and Xian Yang. "Research of FFE in TRIZ Theory." Advanced Materials Research 655-657 (January 2013): 2052–56. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.2052.

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In TRIZ theory, Fuzzy Front End (FFE) is the stage of forming idea in New Product Development (NPD) process. A method combining UED and Kano model is proposed and applied to FFE of TRIZ theory. User study theory and methods in User-Experience Design (UED) are used to collecting user demand for new product, and Kano model is used to analyze the priority of user demands and translate user demands into function demands. The design of mobile application is illustrated as an example, this method is proved to be a perfect solution to form the design idea through analysis of user demand in FFE stage of new product development.
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7

BAL TASTAN, Seçil. "Predicting Psychological Strain with Job Demands and Organizational Injustice through the Implications of Job Demand-Control Model and Fairness Theory." Postmodern Openings 5, no. 4 (December 31, 2014): 111–43. http://dx.doi.org/10.18662/po/2014.0504.09.

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8

Lorenzoni, Guido. "A Theory of Demand Shocks." American Economic Review 99, no. 5 (December 1, 2009): 2050–84. http://dx.doi.org/10.1257/aer.99.5.2050.

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This paper presents a model of business cycles driven by shocks to consumer expectations regarding aggregate productivity. Agents are hit by heterogeneous productivity shocks, they observe their own productivity and a noisy public signal regarding aggregate productivity. The public signal gives rise to “noise shocks,” which have the features of aggregate demand shocks: they increase output, employment, and inflation in the short run and have no effects in the long run. Numerical examples suggest that the model can generate sizable amounts of noise-driven volatility. (JEL D83, D84, E21, E23, E32)
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9

Wallgren, Lars Göran. "Theory Y Embedded in Theory X." International Journal of Human Capital and Information Technology Professionals 4, no. 4 (October 2013): 1–17. http://dx.doi.org/10.4018/ijhcitp.2013100101.

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Using the Job Demands-Resources (JD-R) model, this cross-sectional study tests whether the direct effects and interaction effects of job demand and motivators affect the level of perceived stress among information technology (IT) consultants. A web-based questionnaire survey was conducted among 380 IT consultants at ten IT consultancy companies in Sweden. The results showed that job demands, autonomy, and motivators are important factors that explain perceived stress among the IT consultants. Those consultants with a high level of job demands and a low level of autonomy had a four times higher risk of perceived stress than the consultants with the theoretically lowest level of strain. However, the interaction effect of job demands/autonomy and the interaction effect of job demands/motivators on perceived stress were non-significant. It is suggested that IT consultants’ autonomy exists within the demands dictated by others - Theory Y embedded in Theory X. Future avenues for research are suggested.
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10

Neuberg, Leland G., and Werner Hildenbrand. "Market Demand: Theory and Empirical Evidence." Southern Economic Journal 62, no. 1 (July 1995): 290. http://dx.doi.org/10.2307/1061412.

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11

Džmuráňová, Hana, and Petr Teplý. "Duration of Demand Deposits in Theory." Procedia Economics and Finance 25 (2015): 278–84. http://dx.doi.org/10.1016/s2212-5671(15)00738-8.

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12

Hunter, Lindsay Brandon. "My One Demand by Blast Theory." Theatre Journal 68, no. 1 (2016): 116–17. http://dx.doi.org/10.1353/tj.2016.0008.

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13

KOHLI, ULRICH. "DIRECT INDEX NUMBERS AND DEMAND THEORY." Australian Economic Papers 25, no. 46 (June 1986): 17–32. http://dx.doi.org/10.1111/j.1467-8454.1986.tb00830.x.

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14

Alpern, Steve. "Geometric search theory and demand uncertainty." Engineering Costs and Production Economics 17, no. 1-4 (August 1989): 245–51. http://dx.doi.org/10.1016/0167-188x(89)90073-6.

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15

Nicolau, Juan Luis. "Testing prospect theory in airline demand." Journal of Air Transport Management 17, no. 4 (July 2011): 241–43. http://dx.doi.org/10.1016/j.jairtraman.2010.11.001.

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16

Cueni and Queloz. "WHENCE THE DEMAND FOR ETHICAL THEORY?" American Philosophical Quarterly 58, no. 2 (2021): 135. http://dx.doi.org/10.2307/48614001.

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17

Jossa, Bruno. "Liquidity Preference Theory or Loanable Funds Theory." Archives of Business Research 9, no. 8 (August 14, 2021): 87–91. http://dx.doi.org/10.14738/abr.98.10544.

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In Keynes’s approach, interest rates are driven up by rises in demand for money and scaled down by rises in money supply. On the contrary, this paper argues that neither of these propositions will stand the test of scrutiny. Keynes traced demand for money to three main factors, the transaction, precautionary and speculative motives, but rises in demand associated with the transaction motive do not necessarily drive up the rate of interest. The paper shows also that the liquidity preference theory and the loanable funds theory are different theories and that the former is faulty, while the latter is correct.
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18

Ayres, Ron. "Demand Theory Reconsidered: Reflections on the Demand for Tourism in Cyprus." Tourism Economics 4, no. 4 (December 1998): 353–65. http://dx.doi.org/10.1177/135481669800400404.

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19

Fuchs-Seliger, Susanne. "A reformulation of the theory of demand by compensated demand functions." Journal of Economics 57, no. 3 (October 1993): 279–93. http://dx.doi.org/10.1007/bf01234640.

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20

Gorbunov, Vladimir K., and Alexander G. Lvov. "Inverse problem of the market demand theory and analytical indices of demand." Zhurnal Srednevolzhskogo Matematicheskogo Obshchestva 21, no. 1 (March 30, 2019): 89–110. http://dx.doi.org/10.15507/2079-6900.21.201901.89-110.

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The inverse problem of the market demand's theory is constructing a collective utility function via a trade statistics consisting of a finite set of pairs ``prices-quantities''. The main computational problem here is the solution of the Afriat's inequalities system, which determines the values of the utility function and the Lagrange multiplier on the trade statistics data, which are ``Afriat's numbers''. This inverse problem is ill-posed one because of multiplicity of inequalities system's solutions and also because of their possible inconsistency and instability. A regularization method for this problem is proposed, based on the relaxation of the Afriat's system yielding local Hausdorf continuity of its solution set, and on the use of characteristics of analytical index numbers determined via Afriat's numbers. These characteristics formalized by choice criteria are: optimism, pessimism, objectivity. The results of constructing analytical index numbers for real trade statistics of Ulyanovsk region are presented.
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21

Thomas, Alex M. "Arun Bose on Sraffa:Value Theory and Demand." Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics 60, no. 1 (March 1, 2018): 17. http://dx.doi.org/10.21648/arthavij/2018/v60/i1/174309.

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22

Morley, Clive L. "A microeconomic theory of international tourism demand." Annals of Tourism Research 19, no. 2 (January 1992): 250–67. http://dx.doi.org/10.1016/0160-7383(92)90080-9.

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23

Smith, Matthew. "Demand-led Growth Theory: A Historical Approach." Review of Political Economy 24, no. 4 (October 2012): 543–73. http://dx.doi.org/10.1080/09538259.2012.729931.

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24

STEVENS, BENJAMIN H., and C. PETER RYDELL. "SPATIAL DEMAND THEORY AND MONOPOLY PRICE POLICY." Papers in Regional Science 17, no. 1 (January 14, 2005): 195–204. http://dx.doi.org/10.1111/j.1435-5597.1966.tb01349.x.

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25

Littleboy, B., and G. Mehta. "Patinkin on Keynes' Theory of Effective Demand." History of Political Economy 19, no. 2 (June 1, 1987): 311–28. http://dx.doi.org/10.1215/00182702-19-2-311.

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26

Patinkin, D. "Keynes' Theory of Effective Demand: A Reply1." History of Political Economy 19, no. 4 (December 1, 1987): 647–58. http://dx.doi.org/10.1215/00182702-19-4-647.

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27

Calzolari, Giacomo, Vincenzo Denicolò, and Piercarlo Zanchettin. "The demand‐boost theory of exclusive dealing." RAND Journal of Economics 51, no. 3 (August 24, 2020): 713–38. http://dx.doi.org/10.1111/1756-2171.12338.

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28

Hannes, Sharon. "A Demand‐Side Theory of Antitakeover Defenses." Journal of Legal Studies 35, no. 2 (June 2006): 475–524. http://dx.doi.org/10.1086/505051.

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29

Browne, Mark J., and Shinichi Kamiya. "A Theory of the Demand for Underwriting." Journal of Risk and Insurance 79, no. 2 (November 23, 2011): 335–49. http://dx.doi.org/10.1111/j.1539-6975.2011.01436.x.

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30

Dalziel, Paul C. "Aggregate demand curves in macroeconomic theory: Comment∗." New Zealand Economic Papers 21, no. 1 (January 1987): 105–11. http://dx.doi.org/10.1080/00779958709544125.

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31

Henry, Ken, and Alan Woodfield. "Aggregate demand curves in macroeconomic theory: Reply." New Zealand Economic Papers 21, no. 1 (January 1987): 113–16. http://dx.doi.org/10.1080/00779958709544126.

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32

Serrano, David Teira. "A positivist tradition in early demand theory." Journal of Economic Methodology 13, no. 1 (March 2006): 25–47. http://dx.doi.org/10.1080/13501780600566321.

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33

PRECIOUS, MARK. "DEMAND CONSTRAINTS, RATIONAL EXPECTATIONS AND INVESTMENT THEORY *." Oxford Economic Papers 37, no. 4 (December 1985): 576–605. http://dx.doi.org/10.1093/oxfordjournals.oep.a041711.

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34

Wagstaff, A. "The demand for health: theory and applications." Journal of Epidemiology & Community Health 40, no. 1 (March 1, 1986): 1–11. http://dx.doi.org/10.1136/jech.40.1.1.

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35

Shieh, Yeung-Nan. "Demand, location, and the theory of production." Annals of Regional Science 23, no. 2 (June 1989): 93–103. http://dx.doi.org/10.1007/bf01582000.

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36

LaFrance, Jeffrey T. "Linear demand functions in theory and practice." Journal of Economic Theory 37, no. 1 (October 1985): 147–66. http://dx.doi.org/10.1016/0022-0531(85)90034-1.

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37

Savageau, Michael A. "Demand Theory of Gene Regulation. I. Quantitative Development of the Theory." Genetics 149, no. 4 (August 1, 1998): 1665–76. http://dx.doi.org/10.1093/genetics/149.4.1665.

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Abstract The study of gene regulation has shown that a variety of molecular mechanisms are capable of performing this essential function. The physiological implications of these various designs and the conditions that might favor their natural selection are far from clear in most instances. Perhaps the most fundamental alternative is that involving negative or positive modes of control. Induction of gene expression can be accomplished either by removing a restraining element, which permits expression from a high-level promoter, or by providing a stimulatory element, which facilitates expression from a low-level promoter. This particular design feature is one of the few that is well understood. According to the demand theory of gene regulation, the negative mode will be selected for the control of a gene whose function is in low demand in the organism's natural environment, whereas the positive mode will be selected for the control of a gene whose function is in high demand. These qualitative predictions are well supported by experimental evidence. Here we develop the quantitative implications of this demand theory. We define two key parameters: the cycle time C, which is the average time for a gene to complete an ON/OFF cycle, and demand D, which is the fraction of the cycle time that the gene is ON. Mathematical analysis involving mutation rates and growth rates in different environments yields equations that characterize the extent and rate of selection. Further analysis of these equations reveals two thresholds in the C vs. D plot that create a well-defined region within which selection of wild-type regulatory mechanisms is realizable. The theory also predicts minimum and maximum values for the demand D, a maximum value for the cycle time C, as well as an inherent asymmetry between the regions for selection of the positive and negative modes of control.
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38

Francis, Richard L., and Timothy J. Lowe. "Comparative error bound theory for three location models: continuous demand versus discrete demand." TOP 22, no. 1 (December 24, 2011): 144–69. http://dx.doi.org/10.1007/s11750-011-0244-2.

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39

Lewbel, Arthur. "Demand Systems With and Without Errors." American Economic Review 91, no. 3 (June 1, 2001): 611–18. http://dx.doi.org/10.1257/aer.91.3.611.

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Revealed preference theory assumes that each consumer has demands that are rational, meaning that they arise from the maximization of his or her own utility function. In contrast, econometric or statistical demand models assume that each consumer's demands equal a rational systematic component derived from a common utility function, plus an individual-specific, additive error term. This paper reconciles these differences, by providing necessary and sufficient conditions for rationality of statistical demand models given individual consumer rationality. (JEL D11, D12, C30, C43)
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40

Kaul, Kate. "Vulnerability, for Example: Disability Theory as Extraordinary Demand." Canadian Journal of Women and the Law 25, no. 1 (January 2013): 81–110. http://dx.doi.org/10.3138/cjwl.25.1.081.

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41

Famulari, Melissa. "A Household-Based, Nonparametric Test of Demand Theory." Review of Economics and Statistics 77, no. 2 (May 1995): 372. http://dx.doi.org/10.2307/2109872.

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42

Henderson, John S., and Richard H. Henderson. "Perversity in Factor Demand Curves-Simulation and Theory." Economica 53, no. 212 (November 1986): 515. http://dx.doi.org/10.2307/2554101.

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43

Hasanov, Fakhri J., and Jeyhun I. Mikayilov. "Revisiting Energy Demand Relationship: Theory and Empirical Application." Sustainability 12, no. 7 (April 6, 2020): 2919. http://dx.doi.org/10.3390/su12072919.

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In this paper, we revisit the theoretical framework for energy demand. We then use this theoretical framework to empirically model the Saudi Arabian industrial electricity demand. We show, in the case of Saudi Arabian data, that imposing parsimonious energy demand specification on data without testing relevant assumptions can lead to biased estimations and noticeably poor approximations, while imposing general energy demand specification without accounting for the data properties can lead to redundant estimations and lower approximation than what could be obtained otherwise. Combining the theory with the data can provide unbiased and irredundant estimations with high levels of approximations. Hence, this paper recommends, based on the empirical findings, that a better strategy would be the combination of theoretical coherence with data coherence in the General to Specific Modeling (GtSM) framework for the empirical analyses of energy demand.
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44

WHITE, MICHAEL V. "JEVONS ON UTILITY, EXCHANGE, AND DEMAND THEORY: COMMENT." Manchester School 59, no. 1 (March 1991): 80–83. http://dx.doi.org/10.1111/j.1467-9957.1991.tb00439.x.

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45

Bar-Lev, Shaul K., Ernst Schulte-Geers, and Wolfgang Stadje. "On the demand pooling anomaly in inventory theory." Operations Research Letters 39, no. 6 (November 2011): 411–13. http://dx.doi.org/10.1016/j.orl.2011.09.002.

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46

Chipman, J. S. "Aggregation and Estimation in the Theory of Demand." History of Political Economy 38, Suppl 1 (January 1, 2006): 106–29. http://dx.doi.org/10.1215/00182702-2005-019.

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47

Moscati, I. "Early Experiments in Consumer Demand Theory: 1930-1970." History of Political Economy 39, no. 3 (September 1, 2007): 359–401. http://dx.doi.org/10.1215/00182702-2007-015.

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48

Fullbrook, Edward. "Caroline Foley and the Theory of Intersubjective Demand." Journal of Economic Issues 32, no. 3 (September 1998): 709–31. http://dx.doi.org/10.1080/00213624.1998.11506076.

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49

Chou, Tsung Yu, Ming Tao Chou, and An Chi Liu. "Fuzzy time series theory application for tourism demand." International Journal of Services, Economics and Management 8, no. 3 (2017): 169. http://dx.doi.org/10.1504/ijsem.2017.095445.

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50

Chou, Ming Tao, An Chi Liu, and Tsung Yu Chou. "Fuzzy time series theory application for tourism demand." International Journal of Services, Economics and Management 8, no. 3 (2017): 169. http://dx.doi.org/10.1504/ijsem.2017.10012734.

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