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Zeitschriftenartikel zum Thema „Productivity“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 9. Juni 2025

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1

Lee, Stephen. "Productivity and Affinity in the Age of Dignity." Michigan Law Review, no. 114.6 (2016): 1137. http://dx.doi.org/10.36644/mlr.114.6.productivity.

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This Review proceeds as follows. Part I summarizes The Age of Dignity. Part II explains how this segment of immigrant workers challenges the productivity/affinity binary that dominates immigration law’s formal migration rules. Part III shows how this binary sets up dual migration streams, both of which could account for future flows of care workers. As Part III shows, the example of the eldercare industry nicely illustrates how the employment based and family-based migration systems simply represent two different ways of filling labor needs. I then conclude.

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IGUE, Charlemagne Babatoundé. "Efficacité et Progrès Technologique dans la Productivité des Banques de l’UEMOA." Revue d’Economie Théorique et Appliquée 1, no. 1 (June 30, 2011): 17–40. https://doi.org/10.62519/reta.v1n1a2.

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Résumé : Cet article étudie l’évolution de la productivité totale des facteurs du secteur bancaire de l’UEMOA et ses déterminants sur la période (1990-2003). La productivité est mesurée par l’indice de Malmquist et ses déterminants sont mis en exergue par l’estimation de modèles à effets fixes sur données de panel. Si en moyenne, la productivité du secteur bancaire de l’UEMOA s’est améliorée, elle varie selon les types de banques et les pays. Le ratio des capitaux propres et le nombre d’agences bancaires affectent négativement la productivité bancaire. Par contre, le ratio de liquidité, le taux de rentabilité, la proportion des cadres supérieurs et le taux d’approfondissement financier affectent positivement la productivité des banques. Mots clés : Productivité, Efficacité, Libéralisation financière, Banques, UEMOA Efficiency and Technological Progress in the Productivity of WAEMU Banks Abstract: This paper studies the evolution of total factor productivity in WAEMU banking sector and its determinants over the period from 1990 to 2003. The total factor productivity is measured by the Malmquist index and its determinants are analyzed by the estimation of panel data fixed effects models. On average, if the total factor productivity improved in WAEMU banking sector, its evolution varies according to types of banks and countries. The regression estimates from the models suggest that stockholders’ equity ratio and number of banking agencies negatively affected total factor productivity while liquidity ratio, return rate, high-grade employees’ proportion and financial deepening rate improved banks productivity. Keywords: Productivity, Efficiency, Financial Liberalization, Banks and WAEMU. Classification JEL : G21, G28, O55

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Agustini, Ni Kadek Ira, and A. A. Sagung Kartika Dewi. "PENGARUH KOMPENSASI, DISIPLIN KERJA DAN MOTIVASI TERHADAP PRODUKTIVITAS KARYAWAN." E-Jurnal Manajemen Universitas Udayana 8, no. 1 (December 5, 2018): 231. http://dx.doi.org/10.24843/ejmunud.2019.v08.i01.p09.

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The success of the company is determined by the human resources so that the company needs to meet the needs of employees so employees can work productively. Employee's punctuality is the ability of employees to complete their tasks effectively and efficiently. Employee productivity can be affected by several factors including compensation, work discipline and motivation. The purpose of this study is to determine the effect of compensation, work discipline and motivation to employee productivity. The research was conducted at Single Fin Restaurant & Bar Bali. The number of respondents in this study was 79 people. In the data collection is done through the spread of questionnaires using Likert scale data measurement method. The analysis technique used in this research is multiple linear regression. The results of this study showed that each variable of compensation, work discipline and motivation partially have a positive and significant effect on employee productivity at Single Fin Restaurant & Bar Bali. Keywords: compensation, work discipline, motivation, employee productiviy

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4

Budd, Gita B. "Productivity." Journal of Ambulatory Care Management 11, no. 1 (February 1988): 1–12. http://dx.doi.org/10.1097/00004479-198802000-00002.

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5

West, Barbara L., Larry Janowicz, Margaret Maffet, and Richard Roscoe. "Productivity." Journal of Ambulatory Care Management 14, no. 4 (October 1991): 77–84. http://dx.doi.org/10.1097/00004479-199110000-00014.

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6

Doyle, Rodger. "Productivity." Scientific American 282, no. 5 (May 2000): 34. http://dx.doi.org/10.1038/scientificamerican0500-34.

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7

BAULD, THOMAS J. "Productivity." Journal of Clinical Engineering 12, no. 2 (March 1987): 139–46. http://dx.doi.org/10.1097/00004669-198703000-00014.

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8

HERZOG, THOMAS P. "Productivity." Nursing Management (Springhouse) 16, no. 1 (January 1985): 34D. http://dx.doi.org/10.1097/00006247-198501000-00008.

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9

GUTHRIE, MICHAEL B., GEORGE MAUER, ROBERT A. ZAWACKI, and J. DANIEL COUGER. "Productivity." Nursing Management (Springhouse) 16, no. 2 (February 1985): 16???22. http://dx.doi.org/10.1097/00006247-198502000-00003.

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10

&NA;. "Productivity." Nursing Management (Springhouse) 16, no. 9 (September 1985): 12???15. http://dx.doi.org/10.1097/00006247-198509000-00002.

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11

Lown, Maris. "Productivity." Teaching and Learning in Nursing 4, no. 1 (January 2009): 1. http://dx.doi.org/10.1016/j.teln.2008.11.002.

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12

Bazelmans, Rudy. "Productivity." ACM SIGSOFT Software Engineering Notes 10, no. 3 (July 1985): 63–75. http://dx.doi.org/10.1145/1012483.1012492.

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13

Kjeldsen, John. "Productivity." Journal of Business Strategy 14, no. 4 (April 1993): 15–17. http://dx.doi.org/10.1108/eb039568.

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14

van Ark, Bart. "Productivity." Journal of the Japanese and International Economies 12, no. 2 (June 1998): 171–74. http://dx.doi.org/10.1006/jjie.1998.0401.

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15

Hauhart, Robert C. "Productivity and Prosperity: A Historical Sociology of Productivist Thought." Contemporary Sociology: A Journal of Reviews 47, no. 6 (November 2018): 708–10. http://dx.doi.org/10.1177/0094306118805422p.

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16

BATIONO, Lwungili Justin. "Effet de l’éducation sur la productivité agricole au Burkina Faso : Rôle de l’adoption des nouvelles technologies." Revue d’Economie Théorique et Appliquée 12, no. 2 (December 30, 2022): 165–84. https://doi.org/10.62519/reta.v12n2a3.

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Résumé : Cet article analyse les effets de l’éducation sur la productivité de maïs par le canal de l’adoption de technologies agricoles au Burkina Faso. En utilisant un modèle de régression à commutation endogène, l’étude a trouvé qu’un niveau minimum d’éducation et l’encadrement agricole influencent significativement l’adoption de semences améliorées de maïs et donc la productivité agricole des adoptants. Ainsi, les résultats soutiennent l’hypothèse de Schultz selon laquelle l’éducation améliore la productivité agricole par le canal de l’adoption des technologies agricoles. L’étude suggère que le programme des champs-écoles pour agriculteurs doit être mis en œuvre avec un réseau de vulgarisation fort pour une diffusion plus large de la technologie. Des politiques et programmes visant à améliorer la productivité agricole devraient mettre l’accent sur ces formes éducation à l’application de diverses technologies agricoles. Mots clés : Education - Adoption de technologies - Productivité agricole. Effect of education on agricultural productivity in Burkina Faso : The role of new technology adoption Abstract : This paper analyzes the effects of education on maize productivity through the adoption of agricultural technologies in Burkina Faso. Using an endogenous switching regression model, the study found that a minimum level of education and agricultural supervision significantly influence the adoption of improved maize seed and thus the agricultural productivity of adopters. Thus, the results support Schultz's hypothesis that education improves agricultural productivity through the adoption of agricultural technologies. The study suggests that the farmer field school program needs to be implemented with a strong extension network for wider dissemination of the technology. Policies and programs to improve agricultural productivity should emphasize these forms of education in the application of various agricultural technologies. Keywords : Education - Technology adoption - Agricultural productivity J.E.L. Classification : I25 – J24 - Q12 - O47

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Basu, Susanto, and John G. Fernald. "Aggregate Productivity and the Productivity of Aggregates." International Finance Discussion Paper 1995, no. 532 (December 1995): 1–52. http://dx.doi.org/10.17016/ifdp.1995.532.

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18

Webber, Don J., Gail A. Webber, Sebastian Berger, and Peter Bradley. "Explaining productivity in a poor productivity region." Environment and Planning A: Economy and Space 50, no. 1 (October 16, 2017): 157–74. http://dx.doi.org/10.1177/0308518x17735103.

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Productivity is the preferred measure of firm-level efficiency and perceived to reflect resource use rates. Semi-structured interviews with restaurant managers in a tourism-dominated low productivity rural area reveal that they are motivated to supply products that they believe in and to sustain a quality of life that meets their needs rather than striving to achieve higher productivity. Pricing strategies, managerial objectives and local market characteristics are found to radically influence the area’s productivity value. An area’s productivity value might not be an indicator of resource use rates or productive efficiency, and could instead reflect resident managers’ motivations towards money and the presence of opportunities to achieve scale economies.

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Macdermott, Kathy. "Women's Productivity: Productivity Bargaining and Service Workers." Journal of Industrial Relations 35, no. 4 (December 1993): 538–53. http://dx.doi.org/10.1177/002218569303500402.

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20

Sauerborn, J. "Site Productivity, the Key to Crop Productivity." Journal of Agronomy and Crop Science 188, no. 6 (December 2002): 363–67. http://dx.doi.org/10.1046/j.1439-037x.2002.00585.x.

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ALLEN, STEVEN G. "Productivity Levels & Productivity Change Under Unionism." Industrial Relations: A Journal of Economy and Society 27, no. 1 (January 1988): 94–113. http://dx.doi.org/10.1111/j.1468-232x.1988.tb01048.x.

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22

Kim, Tae Wan, Hyun-soo Lee, Moonseo Park, and Jung-Ho Yu. "Productivity management methodology using productivity achievement ratio." KSCE Journal of Civil Engineering 15, no. 1 (December 11, 2010): 23–31. http://dx.doi.org/10.1007/s12205-011-0983-5.

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23

Chikofsky, E. J. "How to Lose Productivity with Productivity Tools." IFAC Proceedings Volumes 23, no. 5 (October 1990): 1–4. http://dx.doi.org/10.1016/s1474-6670(17)52199-0.

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24

Ma, Hongyan. "Informational Productivity-the Productivity of Sustainable Development." Proceedings 1, no. 3 (June 9, 2017): 93. http://dx.doi.org/10.3390/is4si-2017-04068.

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25

Matthews, R. C. O. "Research on Productivity and the Productivity Gap." National Institute Economic Review 124 (May 1988): 66–72. http://dx.doi.org/10.1177/002795018812400106.

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26

Tzeremes, Nickolaos G. "Hotel productivity: A robust Luenberger productivity indicator." Tourism Economics 25, no. 6 (January 4, 2019): 987–96. http://dx.doi.org/10.1177/1354816618821271.

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The article presents a robust version of the Luenberger productivity indicator. The proposed productivity indicator is less sensitive to potential outliers and extreme values. We apply the robust productivity index on a sample of 176 hotels operating in the Canary Islands over the period from 2004 to 2013. The results indicate that hotels have increased their productivity levels over the examined time period. In relation to their productivity levels, it is also evident that hotels have demonstrated strong resilience during the global financial crisis. Finally, it is evident that hotels have been recovered quickly from the global financial crisis based mainly on the ability to increase their technological change levels.

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Gordon, Jenny. "Australia's Productivity: Some Insights from Productivity Analysis." Asia & the Pacific Policy Studies 3, no. 2 (May 2016): 173–86. http://dx.doi.org/10.1002/app5.137.

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28

Shishkina, T. V., N. V. Nikishova, S. Yu Dmitrieva, and A. A. Galiullin. "Beef productivity of steers of different productivity." Glavnyj zootehnik (Head of Animal Breeding), no. 12 (November 20, 2023): 43–53. http://dx.doi.org/10.33920/sel-03-2312-05.

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The purpose of the work was to compare the indicators of beef productivity of steers of different breeds and different productivity. The results of assessing the growth intensity and slaughter traits of steers have been presented in the article. The object of the research was steers of Black-and-White (dairy productivity) and Simmental (dairy and beef productivity) breeds. When studying the fattening traits of steers, the dynamics of live weight, its absolute, average daily and relative gains were established. When assessing meat traits, the live weight after fattening and pre-slaughter weight, slaughter weight and slaughter yield were determined, and a tasting assessment of the meat and broth was carried out. When comparing the beef productivity indicators of steers of two breeds, it was found that the breed of animals had a signifi cant infl uence on live weight and its growth. At the end of the rearing period, animals of Simmental breed had the highest live weight 496,0 kg; for steers of Blackand- White breed the fi gure was significantly lower 449,5 kg. When slaughtering animals, carcasses with the high slaughter yield were obtained. The largest carcass weight and slaughter yield were in animals of Simmental breed: 275,7 kg and 58,8 % (p ≤ 0,01), respectively. The results of the tasting assessment showed that the meat of Simmental steers was superior in organoleptic qualities to the meat of steers of Black-and-White breed. Thus, in order to increase the volume of beef production and improve its quality with optimal technological indicators in the Penza region, it is recommended to breed steers of Blackand-White breed, and to obtain high-quality beef, to rear animals of Simmental breed.

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KY, Habi. "Effet de la participation aux activités non agricoles sur la productivité agricole au Burkina Faso." Revue d’Economie Théorique et Appliquée 13, no. 2 (December 30, 2023): 201–18. http://dx.doi.org/10.62519/reta.v13n2a4.

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Résumé : Ce papier analyse l’effet de la participation aux activités non agricoles sur la productivité agricole en utilisant des modèles de probabilité linéaire et la décomposition Blinder-Oaxaca sur un échantillon de 7 203 producteurs céréaliers. Les résultats montrent que la participation aux activités non agricoles augmente la productivité de 11,78% et que cet accroissement est essentiellement expliqué par les inputs variables tels les fertilisants chimiques (55%), l’utilisation des produits phytosanitaires (24%), les dépenses en main d’œuvre salariée (8%) et la pratique du labour attelé ou motorisé (5%). La possession foncière et la résidence en milieu rural réduisent l’écart en faveur des producteurs qui ne participent pas aux activités non agricoles. Ces résultats indiquent qu’il existe un effet d'entraînement des activités non agricoles sur la productivité agricole. Par conséquent, la participation à des activités non agricoles est un choix efficace pour augmenter la productivité agricole au Burkina Faso. Une stratégie de politique économique est d'encourager le développement des activités non agricoles pour promouvoir le développement de la production agricole Mots clés : Activités non agricoles, Productivité agricole, Décomposition Blinder-Oaxaca, Burkina Faso Effect of non-farm activities on agricultural productivity in Burkina Faso. Summary: This paper analyses the effect of non-farm activities on agricultural productivity using linear probability models and the Blinder-Oaxaca decomposition on a sample of 7,203 cereal farmers. The results show that the non-farm activities increases productivity by 11.78%. This increase is mainly due to variable inputs such as chemical fertilisers (55%), the use of phytosanitary products (24%), expenditure on hired labour (8%) and the practice of ploughing with a tractor or motorised plough (5%). Land ownership and rural residence reduced the gap in favour of producers who did not participate in non-farm activities. These results indicate that non-farm activities have a spillover effect on agricultural productivity. Consequently, participation in non-farm activities is an effective choice for increasing agricultural productivity in Burkina Faso. Policy-makers must encourage the development of non-agricultural activities to support the development of agricultural production. Keywords: Non-farm activities, Agricultural productivity, Blinder-Oaxaca decomposition, Burkina Faso JEL Classification : D24 - L26 - Q12.

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Jalil, Abdurrahman. "Designing A Mobile Application to Improve User’s Productivity on Computer-based Productivity Software." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 226–36. http://dx.doi.org/10.5373/jardcs/v12sp3/20201257.

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31

Singgih, Moses Laksono, and Bhakti Yudha P. "Pengukuran Produktivitas Personel dalam Penentuan Pemberian Insentif Karyawan di Perusahaan Pembangkit Listrik." Jurnal Teknik Industri 8, no. 1 (February 26, 2008): 60–66. http://dx.doi.org/10.22219/jtiumm.vol8.no1.60-66.

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The measurement of productivity employer was crucial for the development of a organization and company. This was influenced for the company's working. One of the electricity's source company wanted to know how the achievements of employer's productivity are. This research is focused to maintaining department which concerned with three level division, they were specialist, supervisor, staff or technician crew. This research have done by using Will, can, May approach as the way to measure of the productivity's measurement. To conduct this research, it must be known the criterion of each elements, it used brainstorming with the company, and also the literature's reference. Another method which was used in this research is the priority each Will, Can, and May elements used Analytical Hierarchy Process (AHP) and fuzzy method to found single value which can form the productivity each employer as the achievement every elements of Will, can, and May. The result of this research showed that the productivity's achievement in middle and high scale from 43 employers who have measured their productivity. From the result of productivity's approach which have done was to know how are incentives which have got as the result of productivity each employer, and the result of incentive giving which have formulated gave the higher incentive's value than before. The result of giving more motivate the productivity of employer and the incentive's measurement didn't decrease the company from the benefit of allocation which is old incentive's giving and it is not look the stagnancy's nominal.

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Mendoza-Guerra, José María. "Beyond Productivity." Desarrollo Gerencial 10, no. 1 (June 5, 2018): 5–7. http://dx.doi.org/10.17081/dege.10.1.3152.

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As it is well known, by examining the two most important competitive scales, we find that Colombia has been placed in the middle for a long period of time, according to the position achieved in each ranking. Besides, the country’s growth rates have depended more on the price fluctuations of commodities rather than on the direction of the economy for generating value in the market. These two factors have existed for a long period of time, so it can be said that the phenomenon of under competitivity, and therefore of under growth, is a structural one. The overall sensation is that Colombia has not been able to move forward on this matter. As it is obvious, this situation becomes commonplace and the population starts to worry about what is happening: the fact that we simply are an average country from the competitive point of view. As an answer, economic and business people and concerning entities within the country have proposed the need to increase productivity, echoing those voices that have underlined this variable as a key element in today’s world economy. But a question must really be asked: Is productivity enough? This means, If we aim towards an increase in productivity, can we overcome the competitivity problem?

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Pilat, Dirk, and Paul Schreyer. "Measuring productivity." OECD Economic Studies 2001, no. 2 (May 7, 2003): 127–70. http://dx.doi.org/10.1787/eco_studies-v2001-art13-en.

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Machline, Claude. "Productivity Management." Revista de Administração de Empresas 30, no. 1 (March 1990): 79–80. http://dx.doi.org/10.1590/s0034-75901990000100010.

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Williams, Ruth. "Productivity improvement." Nursing Management 16, no. 10 (March 3, 2010): 15. http://dx.doi.org/10.7748/nm.16.10.15.s24.

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Singh, Satbir, and Sandeep Singhal. "Productivity Betterment." International Journal of Productivity Management and Assessment Technologies 6, no. 2 (July 2018): 1–18. http://dx.doi.org/10.4018/ijpmat.2018070101.

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This article describes how instant research explicates the features, analogy, and principles, of manufacturing productivity management in contemporary industrial arenas. It is exceedingly necessary to increase manufacturing production to improve productivity of the company. Current research provides a substitute way-out to optimize the material and workforce resources available in the plant. The authors proposed the implementation of clustering concept with improved tooling for manufacturing. The intended approach stimulated productivity growth by using improved production facilities, which resulted in reduced monthly rejections arising out of manufacturing's critical component. Component production cost was reduced through the use of curbing cycle time. The implementation study magnificently contributed towards productivity enhancement by producing more with less resource input. The experimentation recorded an increase of over16% in monthly production by dint of curtailed cycle time. An average gain of 5.27% in total productivity was achieved.

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Fernando, Yudi, Anas Mathath, and Mohsen Ali Murshid. "Improving Productivity." International Journal of Robotics Applications and Technologies 4, no. 1 (January 2016): 43–62. http://dx.doi.org/10.4018/ijrat.2016010103.

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The role of robots is becoming substantial for industrial applications and business competitiveness. The purpose of this paper is to review robotic transformation concept and to investigate its business applications in the food industry. The robot transformation in food industry provided a robust support in raising business productivity, reduced cost and enhanced customer's loyalty, besides the food safety and quality. Its service in production systems for material handling and packaging operations is inevitable. Despite the importance of robotics in improving productivity, small scale food companies are often reluctant to invest in robotization of their operations. Since it involves high initial investment, maintenance and costs associated with training skilled employees for programming of robotics. Mainly, two points have raised concerns in the discussion of this paper. First, the robot technology has been enhanced to deliver services for the large scale food companies. Meanwhile, the experiences gained in the food service sector which implement robots can replace the human touch. At the end of this review, several solutions are recommended to shed light on the applications of the robot in the food industry.

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Lekanne Deprez, Frank. "Office productivity." Information Services & Use 6, no. 2-3 (March 1, 1986): 83–102. http://dx.doi.org/10.3233/isu-1986-62-304.

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Henderson, Albert. "Research Productivity." Science 271, no. 5256 (March 22, 1996): 1653–54. http://dx.doi.org/10.1126/science.271.5256.1653.b.

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Khan, Fahad, Yasmeen Taj, Arif Ali, Hafsa Mohuddin, Iqra Yasin, Hira Qaisar, Nimra Siddiqui, Asad Matin, and M. Abdullah Sheikh. "RESEARCH PRODUCTIVITY." Professional Medical Journal 22, no. 03 (March 10, 2015): 359–64. http://dx.doi.org/10.29309/tpmj/2015.22.03.1356.

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Research training at higher education level for clinical and teaching staff isimportant and there are methods to introduce research culture in employees at clinical andteaching departmental level. Objectives: To recognize and quantify the research productivitystatus of teaching and clinical faculty of (DUHS) Dow University of Health Sciences Karachibefore and after its establishment in 2003. Design: Non experimental cross sectional study.Period: 1st October 2012 to 1st February 2013. Setting: Medical college Karachi. Subjects andmethod: Students of third semester were applied to sort out the ten years record from 1998 to2008 of all researches conducted by faculty of Dow University of Health Sciences, published ininternational and national journals by using different online search engines. Research Outputwas measured in terms of the increase in the number of publications and quality of publicationsbefore and after the launch of Dow University. Data was entered in Microsoft office excel version2007 and analyzed it in statistical package for social sciences (SPSS) version 17; Pearson chisquarewas applied to test the statistical significance at 95% confidence interval. Results: Dataof total 594 researches was found out between the years1998 to 2008, 175(29.5%) researcheswere published before the foundation of Dow university of Health sciences Karachi (2003)while 419(70.5) researches were produced after 173(45.6%) research papers were published inindexed journals before, “whereas” 206(54.4%) were published in indexed journal after 2003.Original research articles were 152 (31%) before 2003, which rose to 339 (69%). Publications ofarticle types such as case reports, case series, and short communication, editorials and reviewarticles also increased to 80 from 23 after establishment of Dow University. Conclusions: Froma total of 594 faculty researches o published in indexed and non indexed journals betweenthe years 1998 and 2008; there was a significant increase in production after establishment ofDow university of Health Sciences Hence it is confidently reported that due to establishmentof research committees after the founding, there is a promotion and facilitation of researchactivities among faculty members.

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Henderson, Albert. "Research Productivity." Science 271, no. 5256 (March 22, 1996): 1653–54. http://dx.doi.org/10.1126/science.271.5256.1653-b.

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Stang, Paul, Roger Cady, Alice Batenhorst, and Lynn Hoffman. "Workplace Productivity." PharmacoEconomics 19, no. 3 (2001): 231–44. http://dx.doi.org/10.2165/00019053-200119030-00002.

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Uskova, T. "Labor Productivity." Problems of Economic Transition 53, no. 1 (May 1, 2010): 51–62. http://dx.doi.org/10.2753/pet1061-1991530104.

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Gray, Selena. "Measuring productivity." Journal of the Royal Society of Medicine 101, no. 6 (June 2008): 272. http://dx.doi.org/10.1258/jrsm.2008.080122.

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Reynolds, Dennis. "Productivity Analysis." Cornell Hotel and Restaurant Administration Quarterly 39, no. 3 (June 1998): 22–31. http://dx.doi.org/10.1177/001088049803900307.

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Hébert, Thomas P. "Creative Productivity." Gifted Child Today Magazine 15, no. 6 (November 1992): 8–11. http://dx.doi.org/10.1177/107621759201500602.

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Coonce, Thomas, Robert Bitten, Joseph Hamaker, and Henry Hertzfeld. "NASA Productivity." Journal of Cost Analysis and Parametrics 3, no. 1 (January 2010): 59–78. http://dx.doi.org/10.1080/1941658x.2010.10462228.

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Logigian, M. K. "Productivity Analysis." American Journal of Occupational Therapy 41, no. 5 (May 1, 1987): 285–91. http://dx.doi.org/10.5014/ajot.41.5.285.

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Leier, Mark. "Debating Productivity." Labour / Le Travail 44 (1999): 315. http://dx.doi.org/10.2307/25149030.

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