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Journal articles on the topic 'Production relationships'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Letarte, Yvon, Hans J. Hansen, Morten Søndergaard, and Bernadette Pinel-Alloul. "Production and abundance of different bacterial sizeclasses: relationships with primary production and chlorophyll concentration." Archiv für Hydrobiologie 126, no. 1 (November 12, 1992): 15–26. http://dx.doi.org/10.1127/archiv-hydrobiol/126/1992/15.

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2

Forand, Jean Guillaume, and Jan Zápal. "Production priorities in dynamic relationships." Theoretical Economics 15, no. 3 (2020): 861–89. http://dx.doi.org/10.3982/te2963.

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We characterize optimal contracts in a dynamic principal–agent model of joint production in which project opportunities are heterogenous, utility from these projects is nontransferable, and the agent has the option to quit the relationship at any time. To demand the production of projects that benefit her but not the agent, the principal must commit to produce projects that benefit the agent in the future. Production at all stages of the relationship is ordered by projects' cost‐effectiveness, which is their efficiency in transferring utility between the principal and the agent: cost‐effective demands impose relatively low costs on the agent and cost‐effective compensation imposes relatively low costs on the principal. Over time, optimal contracts become more generous toward the agent by adding commitments to less cost‐effective compensation. In turn, because this new compensation cannot be profitably exchanged against less cost‐effective demands, the principal narrows the scope of her demands.

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3

Lindau, Mona, and Peter Ladefoged. "Interarticulatory relationships in vowel production." Journal of the Acoustical Society of America 86, S1 (November 1989): S114. http://dx.doi.org/10.1121/1.2027308.

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4

Fischer, Markus. "Positive biodiversity–production relationships: towards mechanisms." Trends in Ecology & Evolution 17, no. 2 (February 2002): 61. http://dx.doi.org/10.1016/s0169-5347(01)02419-3.

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5

Poison, Rudolph A., and C. Richard Shumway. "Production Relationships in South Central Agriculture." Journal of Agricultural and Applied Economics 24, no. 2 (December 1992): 121–35. http://dx.doi.org/10.1017/s0081305200018446.

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AbstractOutput supplies and input demands were estimated for each of five South Central states. The model structure in each state was based on prior parametric tests of homothetic separability, and estimates were generally consistent with a competitive, profit-maximizing industry. Considerable diversity among states was evident in selected production relationships. These results further document the non-uniform ways in which producers respond to government farm programs and market information.

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6

Menard, Lucie, Jean‐Luc Schwartz, Louis‐Jean Boe, and Jerome Aubin. "Production‐perception relationships during speech development." Journal of the Acoustical Society of America 117, no. 4 (April 2005): 2398. http://dx.doi.org/10.1121/1.4785984.

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7

Yovchevska, P. "Land relationships in Bulgaria." Agricultural Economics (Zemědělská ekonomika) 48, No. 11 (March 1, 2012): 490–94. http://dx.doi.org/10.17221/5358-agricecon.

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Agriculture is a traditional branch for the Republic of Bulgaria. The favourable agriclimatic and soil conditions further the growth of 145 agricultural crops and the production of various products, many of which have leading positions in the international market. The aim of this paper is to examine the nature and specific features of the reform of the land relationships in the Republic of Bulgaria during the period of transition towards market economy. The development of land relationships in this country reflects the economic interests of its society, which show their specific nature in the relationships between the owners and the leaseholders of the plots. It is typical for this country that during the collectivisation period, which took place in the middle of the last century, the land, being the basic production factor in the agricultural branch, was public property, the private character of which was never abolished. During the transition period, a process for restoring the land ‘within its real borders’ was started. This led to delay in the reform and a significant fragmentation of the land. The completed agricultural reform contributes to the recovery and precipitation in the process of developing of the land relationships in the country. A sign of this is the formation of land market. In the year 2001, 28 878.1 ha changed their owners, and another 280 000 ha were leased. The aim is, through active laws, to achieve synchrony of the social interests with the interests of the owners and leaseholders and to create conditions for optimisation of the production process in agriculture. A favourable economic environment will contribute to increasing the efficiency of the agricultural branch in the Republic of Bulgaria and to the formation of the land relationships, which will facilitate the process.

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8

Bastola, Umesh, and Carole R. Engle. "Economically important production relationships in channel catfish (Ictalurus punctatus) foodfish production." Reviews in Aquaculture 4, no. 2 (June 2012): 94–107. http://dx.doi.org/10.1111/j.1753-5131.2012.01063.x.

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9

SHIYOMI, MASAE. "RELATIONSHIPS BETWEEN METEOROLOGICAL STATISTICS AND GRASSLAND PRODUCTION." Japanese Journal of Biometrics 8, no. 2 (1987): 2_99–106. http://dx.doi.org/10.5691/jjb.8.2_99.

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10

Porter, Keith, David Little, Matthew Peck, and Ralph Rollins. "Manufacturing classifications: relationships with production control systems." Integrated Manufacturing Systems 10, no. 4 (August 1999): 189–99. http://dx.doi.org/10.1108/09576069910280431.

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11

Walters, Carl J. "Nonstationarity of Production Relationships in Exploited Populations." Canadian Journal of Fisheries and Aquatic Sciences 44, S2 (December 19, 1987): s156—s165. http://dx.doi.org/10.1139/f87-319.

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Stock assessment usually proceeds from the assumption that there are time-invariant relationships between stock size and rate processes such as recruitment, although such relationships are difficult to discern due to noise caused by factors other than stock size. There are good biological reasons not to trust this assumption in exploited populations, where persistent environmental changes and shifts in stock structure may cause various parameters to change. Graphical and statistical procedures can be used to detect this nonstationarity in historical data sets for which stock size has varied so as to repeatedly sample a range of sizes. The policy implications of nonstationarity depend on whether the changes are clearly observable as deviations from known, Song-term baseline responses. If the changes are observable, it is usually best to pretend that the current deviation will persist unless strong constraints on policy change make it necessary to plan for changes that may occur far into the future. If the changes are not observable (the usual case), then it is necessary to make a difficult policy choice between passively waiting for informative stock responses versus actively experimenting with harvest rates so as to quickly get information about responses over a range of stock sizes.

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12

Tam, F. Y., K. L. Moon, S. F. Ng, and C. L. Hui. "Production sourcing strategies and buyer‐supplier relationships." Journal of Fashion Marketing and Management: An International Journal 11, no. 2 (May 15, 2007): 297–306. http://dx.doi.org/10.1108/13612020710751446.

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13

Bucks, D. A., F. S. Nakayama, O. F. French, W. W. Legard, and W. L. Alexander. "Irrigated guayule — Production and water use relationships." Agricultural Water Management 10, no. 1 (May 1985): 95–102. http://dx.doi.org/10.1016/0378-3774(85)90037-x.

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14

Chen, Zhixiang. "The relationships among JIT, TQM and production operations performance." Business Process Management Journal 21, no. 5 (September 7, 2015): 1015–39. http://dx.doi.org/10.1108/bpmj-09-2014-0084.

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Purpose – The purpose of this paper is to investigate the relationships among just-in-time (JIT), total quality management (TQM) and production operations performance (POP) based on the survey data from Chinese manufacturing firms, provide managerial implications of effectively implementing JIT and TQM for firms in developing countries. Design/methodology/approach – Questionnaires were collected from 173 Chinese manufacturing firms. Three hypotheses on the relationships among JIT, TQM and POP were first established based on literature review. Empirical study method of structural equation modeling using SPSS and AMOS as data processing tools is employed to test the hypotheses. Findings – The results show that, on one hand, JIT positively influences TQM and POP; on the other hand, although TQM also has positive relationship with POP, the relationship is not significant at a given significant level. Meanwhile, the author survey also shows that JIT and TQM have complementary relationship, i.e., JIT and TQM can benefit each other in a firm. Practical implications – TQM is a base of implementing JIT, it is valuable to concurrently implement JIT and TQM in manufacturing firms in order to improve the POP. Originality/value – It is believed that this research reveals new insights about the JIT and TQM implementation in Chinese manufacturing firms; it has practice value for firms to improve the implementation performance of JIT and TQM.

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15

Li, Shihao, Yanghong Hu, Lan Xu, and Guoqun Fu. "Exploring regulatory fit between service relationships and appeals in co-production." Journal of Services Marketing 35, no. 4 (January 21, 2021): 505–15. http://dx.doi.org/10.1108/jsm-06-2020-0236.

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Purpose This paper aims to explore how different service relationships (mentoring relationship versus partnering relationship) in service co-production affect service outcomes. Specifically, it aims to explore whether the effects of service relationships on customers’ intention to purchase the service are contingent upon service appeals’ regulatory focus (promotion versus prevention focus) and when the regulatory fit effects exist. Design/methodology/approach Three experimental studies were conducted to test hypotheses. ANOVA and bootstrapping were used to analyze the data. Findings The findings of the three experiments provide convergent evidence for the hypotheses. Specifically, when customers view service employees as mentors (versus partners) in service co-production, promotion-focused (versus prevention focused) service appeals effectively enhance customers’ intention to purchase the service because customers experience a regulatory fit. Moreover, the regulatory fit effects are strengthened or attenuated according to customers’ subjective social status. Practical implications Service firms should adopt promotion-focused (versus prevention-focused) service appeals if employees and customers are having mentoring (versus partnering) relationships, especially when customers have higher (lower) social status. Originality/value To better manage service co-production, this paper investigates beneficial outcomes of mentoring and partnering relationships from a regulatory fit perspective. It highlights the importance of compatibility between service relationship and service appeals’ regulatory focus and demonstrates a novel regulatory fit effect. It also uncovers engagement as the underlying mechanism for the regulatory-fit effect and identifies social class as a boundary condition.

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16

ten Napel, J., and R. Johnson. "Genetic relationships among production traits and rebreeding performance." Journal of Animal Science 75, no. 1 (1997): 51. http://dx.doi.org/10.2527/1997.75151x.

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17

Agayev, Bikes, and Sitara Safarova. "INFORMATION PRODUCTION AND DEVELOPMENT OF SOCIETY: CAUSAL RELATIONSHIPS." Problems of Information Society 08, no. 1 (January 23, 2017): 78–85. http://dx.doi.org/10.25045/jpis.v08.i1.10.

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18

Gao, Qiong, Mei Yu, Junhua Wang, Haikun Jia, and Kun Wang. "Relationships between regional primary production and vegetation patterns." Ecological Modelling 172, no. 1 (February 2004): 1–12. http://dx.doi.org/10.1016/s0304-3800(03)00250-3.

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19

Egel, Daniel S. "Relationships Among Isolates ofAspergillussect.flavithat Vary in Aflatoxin Production." Phytopathology 84, no. 9 (1994): 906. http://dx.doi.org/10.1094/phyto-84-906.

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20

MacGREGOR, M. A. "Statistical Problems in Measuring Production Relationships in Agriculture1." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 7, no. 1 (November 13, 2008): 36–46. http://dx.doi.org/10.1111/j.1744-7976.1959.tb01303.x.

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21

Frigant, Vincent, and Yannick Lung. "Geographical proximity and supplying relationships in modular production." International Journal of Urban and Regional Research 26, no. 4 (December 2002): 742–55. http://dx.doi.org/10.1111/1468-2427.00415.

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22

Widrlechner, Mark P., and Neil P. Senechal. "Relationships Between Nectar Production and Honey Bee Preference." Bee World 73, no. 3 (January 1992): 119–27. http://dx.doi.org/10.1080/0005772x.1992.11099125.

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23

Kinghorn, B. "Modelled relationships between animal size and production efficiency." Journal of Animal Breeding and Genetics 102, no. 1-5 (January 12, 1985): 241–55. http://dx.doi.org/10.1111/j.1439-0388.1985.tb00693.x.

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24

Vita, Michael G. "Exploring hospital production relationships with flexible functional forms." Journal of Health Economics 9, no. 1 (June 1990): 1–21. http://dx.doi.org/10.1016/0167-6296(90)90038-5.

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25

Grega, L. "Multifunctionality of agriculture and joint production." Agricultural Economics (Zemědělská ekonomika) 50, No. 9 (February 24, 2012): 381–87. http://dx.doi.org/10.17221/5222-agricecon.

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There is growing the importance of the concept of multifunctionality of agriculture both in the Czech Republic and in the whole European Union. Multifunctionality reflects the fact, that agriculture produces many food and non-food commodities, while some of them have the character of externalities and public goods. The methodological framework for analysis of extra-production benefits of agriculture must include both production relationships between commodity and non-commodity products and the view on multifunctional agriculture from the demand side, e.g. it must consider the solution of externalities and public goods. This article is dealing with joint production, e.g. with the supply side view on multifunctional agriculture. Presented are the possible methodological approaches to optimisation of joint production in agriculture if commodities are produced in fixed proportions, the possibility, that non-commodity product is provided in fixed amount and finally the possibility, that joint production may be realised with variable proportions of individual products. However, to assess multifunctionality of agriculture, it is necessary to analyse not only production relationships between commodities and non-commodity outputs, but also externalities and public goods connected with this production must be valuated.

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26

Tsui‐Auch, Lai Si. "Regional Production Relationships and Developmental Impacts: A Comparative Study of Three Production Networks." International Journal of Urban and Regional Research 23, no. 2 (June 1999): 329–44. http://dx.doi.org/10.1111/1468-2427.00199.

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27

Šprysl, M., J. Čítek, and R. Stupka. "Interaction of selected production indicators of the economics of pork production." Czech Journal of Animal Science 55, No. 1 (January 25, 2010): 1–10. http://dx.doi.org/10.17221/1705-cjas.

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Estimates of the effects influencing the economics of pig production are of primary importance for breeders. For this purpose, costs, revenues and profitability were determined on the basis of individual parameters of the efficiency of tested pigs and of average commodity prices. The calculation was the result of the efficiency of actual animals and of the average and simulated prices of inputs received by producers in large-scale production operations. 136 animals, 64 of crossbred combinations (LWs × D) × (LW<sub>D</sub> × L) and 72 of PN × (LW<sub>D</sub> × L) were used. The total cost of 1 pig represented the costs per weaned piglet, feed and other costs; the revenues represented the actual price of a pig at slaughter. Multivariable hierarchical models were constructed to assess the relationships between the following factors: crossbred combination, nutrition and sex, ADG, number of piglets bred, CFM price and carcass price with the outcome variables: costs, revenues and profitability. The results demonstrated that the total cost of fattening pig is considerably influenced by the price of a piglet and feed, not by the price of the carcass and the growth intensity. There was no proof of a relationship between the price of a pig and reproduction and/or the price of feed. Profitability is significantly influenced by the reproduction rate, price of feed, growth intensity and revenues. The results also showed that the intensity of nutrition and the sex considerably influence the total cost of 1 fattened pig, which represents an increase in the total cost by 3.80 € in the application of <I>ad libitum</I> feeding techniques, and 5.39 €/pc in the fattening of barrows. The choice of a suitable combination represents a decrease in the total cost by 1.49% and an increase in revenues by 2.93%. Profitability is significantly associated with the intensity of nutrition, sex and breed. With unrestricted feeding it is reduced by 4.1%, for barrows by 6.6%, and in the use of four-breed combinations of crossbreds it increases by 4.13%.

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28

Wiggins, M. L. "Analytical Inflow Performance Relationships." Journal of Energy Resources Technology 121, no. 1 (March 1, 1999): 24–30. http://dx.doi.org/10.1115/1.2795056.

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The performance of oil wells producing during boundary-dominated flow was investigated to develop a better understanding of multiphase flow and its effects on single well performance. This understanding can assist the petroleum engineer in predicting the pressure-production behavior of oil wells producing under boundary-dominated flow conditions. An analytical inflow performance relationship (IPR) was developed from the multiphase flow equations. This relationship is based on the physical nature of the multiphase flow system and contributes to a better understanding of the pressure-production behavior of an individual well. The analytical IPR was verified using simulator information and provides a method for the petroleum engineer to develop individual IPRs for each reservoir.

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29

Ayudhya, Sudasna Na, and Panornuang. "Relationships between Foreign Language Sound Perception and Production and Experimental Evidences Obtained in Thai Native Speakers." International Journal of Psychosocial Rehabilitation 24, no. 03 (February 18, 2020): 1668–74. http://dx.doi.org/10.37200/ijpr/v24i3/pr200915.

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30

Arnoult, Stéphanie, Annabelle Obeuf, Linda Béthencourt, Marie-Chantal Mansard, and Maryse Brancourt-Hulmel. "Miscanthus clones for cellulosic bioethanol production: Relationships between biomass production, biomass production components, and biomass chemical composition." Industrial Crops and Products 63 (January 2015): 316–28. http://dx.doi.org/10.1016/j.indcrop.2014.10.011.

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31

Fortune, Jim C. "Why Production Function Analysis is Irrelevant in Policy Deliberations Concerning Educational Funding Equity." education policy analysis archives 1 (November 2, 1993): 11. http://dx.doi.org/10.14507/epaa.v1n11.1993.

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Hanushek and Walberg use production function methodology to contend that there is no relationship between school expenditures and student achievement. Production function methodology uses correlational methods to demonstrate relationships between input and output in an economic system. These correlational methods may serve to hide rather than reveal these relationships. In this paper threats to the validity of these correlational methods for analysis of expenditure-achievement data are discussed and an alternative method of investigation is proposed. The proposed method is illustrated using data from two states (Ohio and Missouri). The method demonstrates relationships between expenditures and achievement that were overlooked by the production function method.

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32

KOROTKOVA, KSENIIA. "PRODUCTION AND OPERATIONAL ACTIVITIES: MODERN INTERPRETATIONS OF ESSENCE AND RELATIONSHIPS OF CONCEPTS." HERALD OF KHMELNYTSKYI NATIONAL UNIVERSITY 296, no. 4 (June 2021): 29–34. http://dx.doi.org/10.31891/2307-5740-2021-296-4-5.

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In the conditions of constant transformations of business and its main activity, the research of production and operational activity that, sometimes, is missed at research of all activity of the organization remains actual question. The purpose is to present the results of the study to clarify the essence and distinguish between the concepts of “production activity” and “operational activity of the organization”. The article defines the concept of “production” and “production activity”, which defines the creation of tangible products, ie material values. It is determined that production is aimed at creating a physical product by any means of labor. In the conditions of constant transformation of post-industrial society, development of high technologies, science-intensive productions and informatization of all spheres of life, interweaving and interaction of economic and social activity the sphere of services increasingly begins to prevail over the sphere of production. To confirm or refute this fact, statistical information on the ratio of production to services as of 2012 and 2019 was examined, and it is determined that by the criterion of the number of economic entities by type of economic activity, the service sector significantly outweighs the production sector (86% and 14%, respectively). That is why there is a need to separate the names of these activities. The terms “production” and “production activity” continued to be interpreted traditionally – as the manufacture of tangible products, and for the non-productive sphere was created an analogue – “operations”. The authors’ approaches to the essence of “operational activity” are considered and it is determined that this concept is broader than “production activity”, as it includes the non-productive sphere and the sphere of services. The terms “production and operating activities” are distinguished.

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33

Khumalo, Godfrey, and Jerry Holechek. "Relationships Between Chihuahuan Desert Perennial Grass Production and Precipitation." Rangeland Ecology & Management 58, no. 3 (May 2005): 239–46. http://dx.doi.org/10.2111/1551-5028(2005)58[239:rbcdpg]2.0.co;2.

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34

Malefyt, Timothy De Waal. "Writing Advertising: the Production of Relationships in Historical Review." Journal of Business Anthropology 1, no. 2 (November 6, 2012): 218. http://dx.doi.org/10.22439/jba.v1i2.3942.

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This article examines a range of writings on advertising. It shows that advertising has been written about as instrumental to an emerging capitalistic market, touted as a flamboyant lifestyle in autobiographical tales of charismatic advertising leaders, depicted as a coercive tool of manipulation for creating false desires in consumers, and analyzed for its complex social and political relations among its internal divisions and suppliers. I argue that the many ways advertising is written about reveal an ever-changing structural alignment within advertising itself, in what Pierre Bourdieu (1993) calls a field of strategic relations and possibles. In this, advertising, as well as the writing about advertising, is shown from a shifting ‘production of relations’ relative to economic, political, social and self-intended issues. The article concludes with possible future directions that writings on advertising will take.

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35

Donaldson, Edwin, William F. Schillinger, and Stephen M. Dofing. "Straw Production and Grain Yield Relationships in Winter Wheat." Crop Science 41, no. 1 (January 2001): 100–106. http://dx.doi.org/10.2135/cropsci2001.411100x.

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36

RENARD, Christine, J. P. BIDANEL, G. PETIT, Agnès PALOVICS, M. VAIMAN, G. GUERIN, and J. P. RUNAVOT. "Relationships between genetic markers and production traits in pigs." CrossRef Listing Of Deleted DOIs 37, no. 3 (1988): 205. http://dx.doi.org/10.1051/rnd:19880345.

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37

McIntosh, John. "Changing Relationships at the R & D/Production Interface." International Journal of Operations & Production Management 6, no. 4 (April 1986): 74–86. http://dx.doi.org/10.1108/eb054773.

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38

PARMENTIER, ERIC, DAVID LECCHINI, BRUNO FREDERICH, CHRISTOPHE BRIE, and DAVID MANN. "Sound production in four damselfish (Dascyllus) species: phyletic relationships?" Biological Journal of the Linnean Society 97, no. 4 (July 23, 2009): 928–40. http://dx.doi.org/10.1111/j.1095-8312.2009.01260.x.

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39

Van Koevering, Thomas E., Michael D. Morgan, and Thomas J. Younk. "The energy relationships of corn production and alcohol fermentation." Journal of Chemical Education 64, no. 1 (January 1987): 11. http://dx.doi.org/10.1021/ed064p11.

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40

Smith, Bruce L. "Relationships among temporal patterns of speech production in English." Journal of the Acoustical Society of America 108, no. 5 (November 2000): 2467. http://dx.doi.org/10.1121/1.4743097.

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41

RENARD, Christine, J. P. BIDANEL, G. PETIT, Agnès PALOVICS, M. VAIMAN, G. GUERIN, and J. P. RUNAVOT. "Relationships between genetic markers and production traits in pigs." Annales de Zootechnie 37, no. 3 (1988): 205. http://dx.doi.org/10.1051/animres:19880345.

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42

Akoroda, M. O. "Relationships of plantable okra seed and edible fruit production." Journal of Horticultural Science 61, no. 2 (January 1986): 233–38. http://dx.doi.org/10.1080/14620316.1986.11515695.

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43

SAKAGUCHI, Minoru. "Relationships between reproduction and production in postpartum dairy cows." Nihon Chikusan Gakkaiho 79, no. 3 (2008): 353–59. http://dx.doi.org/10.2508/chikusan.79.353.

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44

Payne, Julianne, Steve McDonald, and Lindsay Hamm. "Production Teams and Producing Racial Diversity in Workplace Relationships." Sociological Forum 28, no. 2 (June 2013): 326–49. http://dx.doi.org/10.1111/socf.12021.

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45

Moore, Chris, David Furrow, Lorraine Chiasson, and Maria Patriquin. "Developmental relationships between production and comprehension of mental terms." First Language 14, no. 40 (February 1994): 001–17. http://dx.doi.org/10.1177/014272379401404001.

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46

Moore, Chris, David Furrow, Lorraine Chiasson, and Maria Patriquin. "Developmental relationships between production and comprehension of mental terms." First Language 14, no. 42-43 (October 1994): 001–17. http://dx.doi.org/10.1177/014272379401404201.

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47

Williams, Allan M., and C. Michael Hall. "Tourism and migration: New relationships between production and consumption." Tourism Geographies 2, no. 1 (January 2000): 5–27. http://dx.doi.org/10.1080/146166800363420.

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48

Riccobono, Francesca, Manfredi Bruccoleri, Kathryn R. Harrigan, and Giovanni Perrone. "Do horizontal relationships matter to production and operations managers?" International Journal of Production Research 52, no. 16 (February 12, 2014): 4731–46. http://dx.doi.org/10.1080/00207543.2014.884291.

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49

Lopes de Sousa Jabbour, Ana Beatriz, Alceu Gomes Alves Filho, Adriana Backx Noronha Viana, and Charbel José Chiappetta Jabbour. "Relationships between company size, production system and supply chain." Journal of Advances in Management Research 8, no. 1 (May 24, 2011): 30–52. http://dx.doi.org/10.1108/09727981111129291.

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50

Harrewijn, Paul, Albert K. Minks, and Chris Mollema. "Evolution of plant volatile production in insect-plant relationships." Chemoecology 5-6, no. 2 (June 1994): 55–73. http://dx.doi.org/10.1007/bf01259434.

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