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Journal articles on the topic 'Management Sciences and Quantitative Methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 January 2023

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1

Oppenheim, Alan J., and William P. Cooke. "Quantitative Methods for Management Decisions." Journal of Business & Economic Statistics 4, no. 2 (April 1986): 278. http://dx.doi.org/10.2307/1391331.

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2

Garg, K. C. "Quantitative Methods in Information Science." Collection Management 14, no. 3-4 (September 18, 1991): 75–100. http://dx.doi.org/10.1300/j105v14n03_07.

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3

Borowska, Maria. "Quantitative methods in the field of economic sciences." VUZF Review 5, no. 2 (June 29, 2020): 22–37. http://dx.doi.org/10.38188/2534-9228.20.2.03.

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The usage of quantitative tools for creating the mathematical models of functioning different economic facilities abounds the opportunity for better understanding and acquaintance of the surrounding reality. A lot of thinkers identify even universality of the particular branch of knowledge with the extent of its ‘mathematization’. Applying mathematical methods so called quantitative provide great and not to overestimate services not only in the science research of technique, physics, astronomy, biology and medicine, but also – within the qualitative methods- in the field of social science in the sphere of the control of the quality of production or in the process of service management or decision making. Complex nature of the social and economic phenomena requires making the usage of the most modern means and the ubiquitous computerization significantly confirms the usefulness of these methods. Progressing ‘mathematization’ and computerization of the science forces creating and applying quantitative (mathematical) models including economic science. The model of operating of studied system was considered in two variants. I. when the process of the product delivery to the store represents inclusively the subsystem of production and the subsystem of the transportation – it could be then said that the level of filling the store up is controlled by the aggregated process of the delivery of the product. when the process of the product delivery to the store takes into account explicate both the production process and also the operating of transportation subsystem, so it is then the structural process of the product delivery. Both in the aggregated and structural version, the analyses of the functioning of the system was made in three variants of the store filling: intermediate state of the store filling; zero state of the store filling that is lower barrier; the state of full storage of the store, that is the upper barrier. The result of my analyses are two proprietary probabilistic models of system operation which are presented through the system of differential equations both in the aggregated and structural variant. Probabilistic models of functioning of the system in both variants presented throughout the probabilistic model also enable determining sizing prognosis which are characteristic for the functioning of this system. These prognoses are transferred to the unit of the management system and they provide the premises to the streamline of its functioning. These tools create the basics of theoretical and methodological constructed computer programmes of the informative systems of decision-making support.
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4

Lewis, Colin, N. R. Farnum, and L. W. Stanton. "Quantitative Forecasting Methods." Journal of the Operational Research Society 41, no. 8 (August 1990): 783. http://dx.doi.org/10.2307/2583483.

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5

Lewis, Colin. "Quantitative Forecasting Methods." Journal of the Operational Research Society 41, no. 8 (August 1990): 783. http://dx.doi.org/10.1057/jors.1990.107.

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6

Molina-Azorin, José F., Donald D. Bergh, Kevin G. Corley, and David J. Ketchen. "Mixed Methods in the Organizational Sciences." Organizational Research Methods 20, no. 2 (January 4, 2017): 179–92. http://dx.doi.org/10.1177/1094428116687026.

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A growing methodological trend is emerging from the recognition that integrating qualitative and quantitative methods in the same study, that is, employing a mixed methods approach, can provide the necessary empirical intricacy and rigor to match the complexities of organizational phenomena. The authors describe opportunities and challenges of mixed methods research in the organizational sciences, explain how the articles offered in this Feature Topic help to advance mixed methods in our field, and offer suggestions for future work that may create additional progress.
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7

Zvoch, Keith. "Modern Quantitative Methods for Evaluation Science." American Journal of Evaluation 35, no. 3 (February 4, 2014): 430–40. http://dx.doi.org/10.1177/1098214013514128.

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8

Boas, J. "Quantitative forecasting methods." European Journal of Operational Research 45, no. 2-3 (April 1990): 375–76. http://dx.doi.org/10.1016/0377-2217(90)90206-q.

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9

Rosenberg, Eric, and Alan Gleit. "Quantitative Methods in Credit Management: A Survey." Operations Research 42, no. 4 (August 1994): 589–613. http://dx.doi.org/10.1287/opre.42.4.589.

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10

Mytton, M., and A. Curnock. "Quantitative Methods in Business." Journal of the Operational Research Society 48, no. 6 (June 1997): 658. http://dx.doi.org/10.2307/3010234.

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11

Curnock, A. "Quantitative Methods in Business." Journal of the Operational Research Society 48, no. 6 (June 1997): 658. http://dx.doi.org/10.1057/palgrave.jors.2600782.

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12

Dzwigol, H. "Innovation in Marketing Research: Quantitative and Qualitative Analysis." Marketing and Management of Innovations, no. 1 (2020): 128–35. http://dx.doi.org/10.21272/mmi.2020.1-10.

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This article focuses on the triangulation of research methods and techniques in the discussion on the evaluation of marketing research. Research traditions in marketing can be referred to the division of research methodologies, according to which the methods of conceptual, theoretical, empirical and formal research is distinguished, based on the use of quantitative methods, mathematical and statistical models. In scientific research on marketing, conceptual methods (i.e. heuristic or creative methods) are used, with a primary focus on the analysis of qualitative aspects of the studied processes, thus making little reference to empirics. The methodology of empirical research in marketing is used to a great extent. It allows developing empirical models, thus making it possible to recognize, e.g. actually implemented models of marketing strategies that may be consistent with or deviate from the theoretical models. However, it should be noted that empirical models do not always have implementation properties, as they most often refer to the present or past reality. Nevertheless, these models may be subject to benchmarking. Moreover, they serve to make conceptual models more probable. For the further development of marketing, it becomes essential to increase the scope of application of formal research methodologies as well. The analysis of the literature indicates the need for an in-depth diagnosis of combined methods in the research process in the broader context of management sciences. The aim of the article is therefore expressed as a research problem in the form of the following question: Is methodological triangulation a prerequisite for research processes in the management sciences? The research results presented in this article are a fragment of complex study on research methodology. Moreover, the conducted empirical research confirms and theoretically proves that methodological triangulation is a necessary condition in research processes. In contrast, verification of developed methods, models or procedures is an essential condition allowing to combine science and management practice, while methodological triangulation supports research processes. Concerning the preceding, the author recommends in the present article to make a scientific effort aimed at elaborating a tool, method or procedure to select proper research methods and techniques for the research process within the scope of management science, with a particular emphasis on factors determining the process quality. Keywords: methods, research techniques, marketing research, triangulation, research methodology
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13

Alavi, Hamed, and Patrycja Hąbek. "Addressing Research Design Problem in Mixed Methods Research." Management Systems in Production Engineering 21, no. 1 (March 1, 2016): 62–66. http://dx.doi.org/10.2478/mspe-10-01-2016.

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Abstract Alongside other disciplines in social sciences, management researchers use mixed methods research more and more in conduct of their scientific investigations. Mixed methods approach can also be used in the field of production engineering. In comparison with traditional quantitative and qualitative research methods, reasons behind increasing popularity of mixed research method in management science can be traced in different factors. First of all, any particular discipline in management can be theoretically related to it. Second is that concurrent approach of mixed research method to inductive and deductive research logic provides researchers with opportunity to generate theory and test hypothesis in one study simultaneously. In addition, it provides a better justification for chosen method of investigation and higher validity for obtained answers to research questions. Despite increasing popularity of mixed research methods among management scholars, there is still need for a comprehensive approach to research design typology and process in mixed research method from the perspective of management science. The authors in this paper try to explain fundamental principles of mixed research method, its typology and different steps in its design process.
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14

Kafandaris, S., M. Wisniewski, and R. Stead. "Foundation Quantitative Methods for Business." Journal of the Operational Research Society 48, no. 7 (July 1997): 760. http://dx.doi.org/10.2307/3010069.

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15

Wisniewski, M., and R. Stead. "Foundation Quantitative Methods for Business." Journal of the Operational Research Society 48, no. 7 (July 1997): 760–61. http://dx.doi.org/10.1057/palgrave.jors.2600799.

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16

Tilanus, C. B. "Failures and successes of quantitative methods in management." European Journal of Operational Research 19, no. 2 (February 1985): 170–75. http://dx.doi.org/10.1016/0377-2217(85)90169-9.

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17

Carraway, Robert L., and James R. Freeland. "MBA Training in Operations Management and Quantitative Methods." Interfaces 19, no. 4 (August 1989): 75–88. http://dx.doi.org/10.1287/inte.19.4.75.

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18

Hanges, Paul, and David V. Day. "Quantitative Methods Special Series." Leadership Quarterly 14, no. 2 (April 2003): 239. http://dx.doi.org/10.1016/s1048-9843(03)00002-x.

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19

Cuthbert, Margaret, and Michael Cuming. "A Manager's Guide to Quantitative Methods." Journal of the Operational Research Society 36, no. 7 (July 1985): 653. http://dx.doi.org/10.2307/2582490.

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20

Hollocks, Brian W., Graham Hackett, and David Caunt. "Quantitative Methods: An Active Learning Approach." Journal of the Operational Research Society 47, no. 6 (June 1996): 838. http://dx.doi.org/10.2307/3010296.

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21

Cuthbert, Margaret. "A Manager's Guide to Quantitative Methods." Journal of the Operational Research Society 36, no. 7 (July 1985): 653. http://dx.doi.org/10.1057/jors.1985.116.

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22

Hollocks, Brian W. "Quantitative Methods: An Active Learning Approach." Journal of the Operational Research Society 47, no. 6 (June 1996): 838. http://dx.doi.org/10.1057/jors.1996.108.

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23

Shu, Tong, and Xia Mao. "Research on Quantitative Methods of Supply Chain Based on Disruptions Management Framework." Applied Mechanics and Materials 687-691 (November 2014): 4882–85. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.4882.

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With the development of supply chain businesses and natural disasters, the probability of risk of supply chain disruption is increasing and this kind of risk can bring huge losses to the enterprises. In this paper, disruption management strategy is an effective and necessary part of the supply chain disruption risk in supply chain management research, which is a new bright spot in the field. The new management ideas and sophisticated quantitative analysis results continue to emerge, but they are overall relatively fragmented, lack of system. So supply chain disruption research related to risk management is still in its infancy. Through the theories and methods of management science of quantitative supply chain integration and management, optimal configuration of the entire resources and benefit maximization of the whole supply chain can be achieved. The paper reviewed foreign research on quantitative integration of supply chain management, and proposed a comparative analysis, finally provided some possible future research directions.
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24

Vijverberg, Wim P. M. "The quantitative methods component in social sciences curricula in view of journal content." Journal of Policy Analysis and Management 16, no. 4 (1997): 621–29. http://dx.doi.org/10.1002/(sici)1520-6688(199723)16:4<621::aid-pam7>3.0.co;2-i.

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25

Coates, Dave, Jon Curwin, and Roger Slater. "Quantitative Methods for Business Decisions (3rd Edition)." Journal of the Operational Research Society 43, no. 4 (April 1992): 367. http://dx.doi.org/10.2307/2583163.

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26

Evans, K., and J. Dickinson Gibbons. "Nonparametric Methods for Quantitative Analysis (3rd Edition)." Journal of the Operational Research Society 48, no. 8 (August 1997): 853. http://dx.doi.org/10.2307/3010721.

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27

Coates, Dave. "Quantitative Methods for Business Decisions (3rd Edition)." Journal of the Operational Research Society 43, no. 4 (April 1992): 367–69. http://dx.doi.org/10.1057/jors.1992.55.

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28

Gibbons, J. Dickinson. "Nonparametric Methods for Quantitative Analysis (3rd edition)." Journal of the Operational Research Society 48, no. 8 (August 1997): 853. http://dx.doi.org/10.1057/palgrave.jors.2600854.

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29

Geroliminis, Nikolas, and Jack Haddad. "Quantitative methods in transportation systems." EURO Journal on Transportation and Logistics 3, no. 3 (October 2015): 177–78. http://dx.doi.org/10.1007/s13676-014-0044-6.

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30

Kafandaris, Stelios, C. B. Tilanus, O. B. De Gans, and J. K. Lenstra. "Quantitative Methods in Management: Case Studies of Failures and Successes." Journal of the Operational Research Society 37, no. 11 (November 1986): 1102. http://dx.doi.org/10.2307/2582700.

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31

Kafandaris, Stelios. "Quantitative Methods in Management: Case Studies of Failures and Successes." Journal of the Operational Research Society 37, no. 11 (November 1986): 1102–3. http://dx.doi.org/10.1057/jors.1986.193.

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32

Pidd, M. "Quantitative methods in management: Case studies of failures and successes." European Journal of Operational Research 26, no. 2 (August 1986): 314. http://dx.doi.org/10.1016/0377-2217(86)90197-9.

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33

Yauch, Charlene A., and Harold J. Steudel. "Complementary Use of Qualitative and Quantitative Cultural Assessment Methods." Organizational Research Methods 6, no. 4 (October 2003): 465–81. http://dx.doi.org/10.1177/1094428103257362.

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34

Dźwigoł, Henryk. "Research methods and techniques in new management trends: research results." Virtual Economics 2, no. 1 (January 17, 2019): 31–48. http://dx.doi.org/10.34021/ve.2019.02.01(2).

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Findings from domestic and foreign literature analyses on the research methods and techniques applied in the management sciences confirmed the necessity to elaborate a certain procedure of selecting proper research methods, with consideration given to new management trends. With reference to the foregoing, the article presented qualitative studies (interviews, experts’ opinions) and quantitative ones (surveys) in order to diagnose the problem in a proper way by providing answers to five research hypotheses. As a result of the research effort, the anticipated goal of the article was achieved, i.e. the readers were presented with an elaborated procedure (Dźwigoł, 2018) of selecting the methods and techniques for the sake of the management-related research process, and with essential components of the research process used for designing the procedure in question. Since the research hypotheses were positively assessed, the author was able to present recommendations as to putting the procedures into practice, which were supported by a dedicated online tool. What is more, the achieved goal allowed not only to determine the application rate of the particular methods and techniques, or their combined versions, but also to identify certain rules as to recognising the research process in the present context and in terms of other variables, since the latter may influence whether the selected methods and techniques, related to the research subject in the context of management sciences, are essential. All foregoing steps were aimed at enhancing the reliability, quality and level of the research studies being carried out. Furthermore, it was recommended to perform further research studies aimed at verifying the adopted model and procedure of selecting research methods and techniques in the management sciences, especially in the practical context.
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35

Ngulube, Patrick, and Beatrice Ngulube. "Mixed methods research in the South African Journal of Economic and Management Sciences: An investigation of trends in the literature." South African Journal of Economic and Management Sciences 18, no. 1 (March 4, 2015): 1–13. http://dx.doi.org/10.4102/sajems.v18i1.633.

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Mixed methods research (MMR), which is touted as a third methodological movement is increasingly becoming a popular approach in several fields as a result of the promise it holds to providing a better and balanced investigation of research problems in context. In spite of that, there is limited knowledge about its pervasiveness in economic and management sciences in South Africa. Based on a content analysis of 332 articles published in The South African Journal of Economic and Management Sciences from 2003 to 2011, the main purpose of this quantitative study is to explore the prevalence of MMR in SAJEMS. Although methodological advances have been made in the field of economic and management sciences as reflected in the articles in SAJEMS, the findings reveal that scholars employ quantitative and qualitative methodologies than MMR. Given the paucity of MMR in the field, this study underscores the potential benefits of embracing methodological pluralism as it offers methodological and theoretical benefits. First, the use of MMR provides the possibility for researchers to obtain a comprehensive picture of a phenomenon under investigation and achieve their research purpose effectively. Secondly, its utilisation may also contribute to theory development and the maturity of the field as reflected in SAJEMS.
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36

Lashgari, Shima, and Jurgita Antuchevičienė. "USING QSPM AND WASPAS METHODS FOR DETERMINING OUTSOURCING STRATEGIES." Journal of Business Economics and Management 15, no. 4 (April 29, 2014): 729–43. http://dx.doi.org/10.3846/16111699.2014.908789.

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The aim of the current study is to select the best strategies for outsourcing development, applying decision-making tools that enable to make reasoned decision. To evaluate outsourcing strategies, a new model of Comprehensive Framework for Strategy Formulation and Selection is presented. Development of outsourcing of healthcare services in Tehran is analysed in the paper. Strengths, Weaknesses, Opportunities, and Threats analysis is used to evaluate the internal and external factors affecting the outsourcing of healthcare services in health deputy of the Tehran University of Medical Sciences in different aspects and to develop several possible outsourcing strategies. Quantitative Strategic Planning Matrix is applied for quantitative evaluation of strategies. It is proposed to validate the approach by applying Multiple Criteria Decision Making methods. Robust and accurate Weighted Aggregated Sum Product Assessment method is selected and applied for quantitative evaluation of strategies. Based on the consistency of the results of the both approaches, the five best strategies to develop healthcare services outsourcing are offered.
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37

Schnitzer, Martin, Kathrin Kronberger, Filippo Bazzanella, and Sebastian Wenger. "Analyzing Project Management Methods in Organizing Sports Events." SAGE Open 10, no. 4 (October 2020): 215824402097094. http://dx.doi.org/10.1177/2158244020970940.

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The purpose of this study was to investigate the use and importance of project management (PM) methods in organizing sports events (SEs). Furthermore, the study analyzed differences in usage and importance of PM methods in relation to the type of SE. Finally, reasons for and obstacles to the implementation of PM methods in organizing SEs were identified. To assess the research questions, a quantitative survey ( n = 78) and a focus group discussion ( n = 5) were carried out. The results showed that PM methods were employed for SEs with higher usage and importance rates in large compared with small SEs. Requirements by event stakeholders, knowledge transfer, confidence building, progress control, and justification as well as opportunities to save money by introducing an improved planning process were identified as the main reasons for using PM in the organization of SEs. This study is the first work to provide an overview of the usage of specific PM methods in organizing SEs.
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38

Dvoryatkina, Svetlana N., and Arseny M. Lopukhin. "SEARCH FOR NEW METHODOLOGICAL APPROACHES AND METHODS IN RISK MANAGEMENT." Educational Psychology in Polycultural Space 54, no. 2 (2021): 35–47. http://dx.doi.org/10.24888/2073-8439-2021-54-2-35-47.

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The study actualized the complex and large-scale problem of adapting the theory of risk man-agement for the education system. A comprehensive analysis of domestic and international stud-ies revealed the lack of a theoretical framework, a general methodological vision of the problem of riskiness and risk-taking in the educational sphere. While effective management of education-al activities, ensuring the development of the competitiveness of the individual in the labor mar-ket and its potential for active participation in the life of society is possible on the basis of the modern paradigm of risk management, integrating achievements in pedagogical, economic, mathematical and computer sciences. A new methodology in the study is the fractal approach, which defines the idea of quantitative and qualitative analysis and assessment of the risk of non-formation of professional competencies, complex educational and cognitive constructs of subject activity. The fractal model of assessing the formation of knowledge and competencies, its risk landscape, taking into account the subject and cognitive divergence, will ensure the effective-ness of the structure of knowledge storage in the educational process, minimizing the time for building space and engineering knowledge bases, and the depth of solving the problem of pre-dicting educational risks. New methods of risk modeling based on machine learning algorithms and factor analysis, methods for constructing neural integrators, quantitative methods with and without taking into account the probability distribution will ensure the accuracy and speed of risk assessment and prediction, will allow one to identify new patterns of risk activity and further ways to develop the theory of risk. The presented effective strategies and innovative tools will solve the problem of minimizing unplanned chaos, the cascade of negative consequences of risky situations, including the COVID-19 epidemic.
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39

Desai, Anand. "Quantitative methods, economics, and or models." Journal of Policy Analysis and Management 27, no. 3 (2008): 640–69. http://dx.doi.org/10.1002/pam.20345.

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40

Arvan, Meysam, Behnam Fahimnia, Mohsen Reisi, and Enno Siemsen. "Integrating human judgement into quantitative forecasting methods: A review." Omega 86 (July 2019): 237–52. http://dx.doi.org/10.1016/j.omega.2018.07.012.

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41

Peng, T. K., Mark F. Peterson, and Yuh-Ping Shyi. "Quantitative methods in cross-national management research: Trends and equivalence issues." Journal of Organizational Behavior 12, no. 2 (March 1991): 87–107. http://dx.doi.org/10.1002/job.4030120203.

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42

Orlova, Ekaterina V. "Innovation in Company Labor Productivity Management: Data Science Methods Application." Applied System Innovation 4, no. 3 (September 17, 2021): 68. http://dx.doi.org/10.3390/asi4030068.

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The article considers the challenge of labor productivity growth in a company using objective data about economic, demographic and social factors and subjective information about an employees’ health quality. We propose the technology for labor productivity management based on the phased data processing and modeling of quantitative and qualitative data relations, which intended to provide decision making when planning trajectories for labor productivity growth. The technology is supposed to use statistical analysis and machine learning, to support management decision on planning health-saving strategies directed to increase labor productivity. It is proved that to solve the problem of employees’ clustering and design their homogeneous groups, it is properly to use the k-means method, which is more relevant and reliable compared to the clustering method based on Kohonen neural networks. We also test different methods for employees’ classification and predicting of a new employee labor productivity profile and demonstrate that over problem with a lot of qualitative variables, such as gender, education, health self-estimation the support vector machines method has higher accuracy.
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43

Fortuin, Leonard, and Antonius T. M. Korsten. "Quantitative methods in the field: Two case studies." European Journal of Operational Research 37, no. 2 (November 1988): 187–93. http://dx.doi.org/10.1016/0377-2217(88)90328-1.

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44

Gabriele Weston, Paul, and Giuseppina Vullo. "United we stand: quantitative and qualitative methods to assess cooperation." Library Management 35, no. 6/7 (August 5, 2014): 508–20. http://dx.doi.org/10.1108/lm-02-2014-0020.

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Purpose – The purpose of this paper is to describe the quantitative and qualitative methods to assess the sustainability of cooperation models within research libraries networks in the humanities. Design/methodology/approach – Changing research environment and budget constraints currently are the main challenges of research libraries networks: to cope with this pressure libraries need to build collective capacity through a strong model of collaboration and partnership and foster closer interaction between actors both from the library and the external world. In order to build effective and efficient cooperation models research libraries networks will first need to share a common vision and a well-focused organisation. Nevertheless, a multi-level approach should help them to identify their core functional requirements, the specialised needs of their users and a flexible cooperation structure able to maintain the financial sustainability of the system. Findings – After illustrating the current challenges in the research libraries world, and how cooperation and collaboration issues have been connoting library management and activities, this work presents the methodology and the preliminary results of a research project which surveyed the URBS network, an international consortium of 12 libraries from academic and research institutions of several nations (Austria, Denmark, Finland, Great Britain, Italy, the Netherlands, Norway, Spain, Sweden, Switzerland, the USA) based in Rome, Italy. Originality/value – This paper will be of interest and value to other research library networks or consortia with an interest in the development of new organisational models, and in the evaluation and assessment of their sustainability.
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45

Affleck-Graves, John, Arthur Money, and Enrico Uliana. "Quantitative methods in a developing country: Managers' perceptions and desires." Omega 15, no. 6 (January 1987): 523–33. http://dx.doi.org/10.1016/0305-0483(87)90010-7.

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46

Ayob, Maryam Rukayyah Al-Munirah Binti, Mohamad Shukri Bin Abdul Hamid, Faezzah Binti Mohd Daud, and Ong Yi Sean. "Healthy Lifestyle Among School of Quantitative Sciences Lecturers, Universiti Utara Malaysia (UUM)." Malaysian Journal of Social Sciences and Humanities (MJSSH) 4, no. 8 (December 16, 2019): 39–44. http://dx.doi.org/10.47405/mjssh.v4i8.326.

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The role of individual healthy behaviors like physical activity, nutrition and stress management on reduction of rate of disease mortality and morbidity is well known. The aim of this study is to determine healthy lifestyle in lecturers employed in School of Quantitative Sciences, University Utara Malaysia, in 2019. Materials and Methods: The participants of this cross-sectional study were 66 lecturers in School of Quantitative Sciences, selected via random sampling method. The data collection was performed using a questionnaire including demographic healthy lifestyle questions. Analysis of the data was performed through Software Statistical Analysis System Enterprise Guide (SAS EG) version 7.1. Results: The mean age of the subjects was 42.68 ± 1.37 years and, BMI mean was 24.13 ± 0.86. 92.42% of them were married and 7.58% also were single. Conclusion: According to the results, planning for lecturers in School of Quantitative Sciences for receiving information about healthy lifestyle on weight control and nutrition are important.
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47

Mulyani, Yun Prihantina. "The Forty-year History of Revenue Management: Bibliometric Analysis." OPSI 14, no. 1 (June 24, 2021): 38. http://dx.doi.org/10.31315/opsi.v14i1.4677.

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This paper presents research trends, leading publishers, influential articles, and shifting concerns in the field of Revenue Management for over forty years based on bibliometric analysis. Bibliometric data was retrieved from Web of Science core collection with a well-defined strategy. The data was processed using Network Analysis Interface for Literature Studies Project scripts. Subject-wise and year-wise research trends were presented. The shifting concerns in RM in terms of topic, method, and domain were highlighted using keyword analysis. In general, RM showed an increasing number of published papers with exponential manner every year. The research core in RM covered the three major decisions in RM including pricing, quantity control, and structural decision. It was highlighted that RM’s concern has shifted from single-firm decision to be more consumer- and competition-centric. The data showed that the needs of empirical study and more advanced quantitative methods for complex and real-time problems were urged. In addition, the adoption of RM was extended for industries with semi-flexible capacity. The top influential publishers were Decision Sciences, Operations Research, Management Science, and Management Science Manufacturing & Service Operations Management.
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48

Bickmeier, Robert M., Steven G. Rogelberg, and Gregory C. Berka. "Integrating Qualitative and Quantitative Methods in Doctoral Education: A Case Study." Industrial and Organizational Psychology 9, no. 4 (December 2016): 748–53. http://dx.doi.org/10.1017/iop.2016.85.

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We were honored and flattered to be recognized in the feature article for our commitment to qualitative methods training. As an interdisciplinary program focused on organizational science, we strive not to privilege one form of training, thought, or inquiry over another. We recognize that a number of the problems and questions faced by organizational scholars and practitioners cannot adequately be addressed solely by a single discipline or method. Instead, we emphasize the synergy between different methods and modes of thought. Ultimately, our philosophy is that organizational phenomena are inherently interdisciplinary, thus training should reflect that. Our students are trained in industrial–organizational (I-O) psychology, management, organizational sociology, and organizational communication. We use this commentary as an opportunity to explain why our program values qualitative methods equally with quantitative methods, describe how we integrate that training, highlight a few success stories resulting from qualitative projects in our program, and then share some advice to other programs considering additional qualitative training.
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49

Sanders, Nada R., and Karl B. Manrodt. "The efficacy of using judgmental versus quantitative forecasting methods in practice." Omega 31, no. 6 (December 2003): 511–22. http://dx.doi.org/10.1016/j.omega.2003.08.007.

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50

Naude, P., S. Stray, and T. Wegner. "The penetration of quantitative methods into management decision making in the United Kingdom." Omega 19, no. 5 (January 1991): 447–57. http://dx.doi.org/10.1016/0305-0483(91)90061-w.

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