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Journal articles on the topic 'Empirical survey'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 April 2022

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1

Abramson, Paul R., and Charles W. Ostrom. "Macropartisanship: An Empirical Reassessment." American Political Science Review 85, no. 1 (March 1991): 181–92. http://dx.doi.org/10.2307/1962884.

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To evaluate the comparability of the Gallup and Michigan Survey Research Center measures for studying levels of partisanship among the U.S. electorate we compare the overtime distribution of partisanship and the correlates of partisanship using the results of Gallup surveys, the National Election Studies, and the General Social Surveys. Compared with the Gallup results, both the other two surveys reveal less short-term variation and also less total variation. Compared with the Gallup results, the National Election Studies partisanship results are less related to short-term electoral outcomes and do not appear to be strongly driven by short-term economic and political evaluations. Our analyses suggest that scholars should be cautious about using Gallup results to revise conclusions based upon analyses that employ the Michigan Survey Research Center party identification measure.

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2

Eckstein, Zvi, and Gerard J. van den Berg. "Empirical labor search: A survey." Journal of Econometrics 136, no. 2 (February 2007): 531–64. http://dx.doi.org/10.1016/j.jeconom.2005.11.006.

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3

Cansier, Dieter, and Raimund Krumm. "Air pollutant taxation: an empirical survey." Ecological Economics 23, no. 1 (October 1997): 59–70. http://dx.doi.org/10.1016/s0921-8009(97)00567-3.

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4

Hayakawa, Hitoshi, Susumu Imai, and Kazuko Nakata. "Empirical Analysis of Brands: A Survey." Japanese Economic Review 69, no. 3 (July 2, 2018): 324–39. http://dx.doi.org/10.1111/jere.12187.

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5

Hogan, Aidan, Jürgen Umbrich, Andreas Harth, Richard Cyganiak, Axel Polleres, and Stefan Decker. "An empirical survey of Linked Data conformance." Journal of Web Semantics 14 (July 2012): 14–44. http://dx.doi.org/10.1016/j.websem.2012.02.001.

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6

Goyal, Amit. "Empirical cross-sectional asset pricing: a survey." Financial Markets and Portfolio Management 26, no. 1 (December 24, 2011): 3–38. http://dx.doi.org/10.1007/s11408-011-0177-7.

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7

Lees-Haley, P. R., H. H. Smith, C. W. Williams, and J. T. Dunn. "Forensic neuropsychological test usage: An empirical survey." Archives of Clinical Neuropsychology 11, no. 1 (January 1, 1996): 45–51. http://dx.doi.org/10.1093/arclin/11.1.45.

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8

Ahsen, Anette von, Christoph Lange, and Mathias Pianowski. "Corporate environmental reporting: survey and empirical evidence." International Journal of Environment and Sustainable Development 3, no. 1 (2004): 5. http://dx.doi.org/10.1504/ijesd.2004.004686.

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9

Kaur, Sukhraj, and Dr Jyoteesh Malhotra. "Survey on Empirical Channel Models for WBAN." International Journal of Future Generation Communication and Networking 8, no. 2 (April 30, 2015): 399–410. http://dx.doi.org/10.14257/ijfgcn.2015.8.2.34.

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10

Meier, Jörg, and Henry Suhl. "Empirical Survey of EDI Applied in Practice." Electronic Markets 5, no. 2 (May 1995): 8–10. http://dx.doi.org/10.1080/10196789500000005.

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11

Dowding, Keith, Peter John, and Stephen Biggs. "Tiebout : A Survey of the Empirical Literature." Urban Studies 31, no. 4-5 (May 1994): 767–97. http://dx.doi.org/10.1080/00420989420080671.

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12

Lees-Haley, P. "Forensic neuropsychological test usage: An empirical survey." Archives of Clinical Neuropsychology 11, no. 1 (1996): 45–51. http://dx.doi.org/10.1016/0887-6177(95)00011-9.

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13

Aldinger, Carmen E., Jennifer Ligibel, Im Hee Shin, John W. Denninger, and Barbara E. Bierer. "Returning aggregate results of clinical trials: Empirical data of patient preferences." Journal of Clinical and Translational Science 2, no. 6 (December 2018): 356–62. http://dx.doi.org/10.1017/cts.2018.340.

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AbstractIntroduction:The purpose of this research was to understand the preferences of patients receiving integrative medicine services for return of aggregate study results.Methods:A brief online survey (survey 1) was sent to 341 cancer patients receiving integrative medicine interventions; subsequently, a minimally revised survey (survey 2) was sent to 812 individuals with various medical conditions who had been either research participants in integrative medicine studies (n = 446) or patients (n = 346) of mind–body medicine.Results:Feedback to a model plain language summary was elicited from survey 1 and survey 2 respondents. Seventy-seven survey recipients (23%) responded to survey 1, and 134 survey recipients (17%) responded to survey 2. The majority of respondents to the surveys were female and 51–70 years of age. Ninety percent of responders to survey 1 and 89% of responders to survey 2 indicated that researchers should share overall results of a study with participants. In terms of the means of result distribution, 37%–47% preferred email, while 22%–27% indicated that, as long as the results are shared, it did not matter how this occurred. Of 38 survey 1 respondents who had previously participated in a clinical trial, 37% had received the results of their study. In survey 2, 63 individuals indicated that they previously participated in clinical trials, but only 16% recalled receiving results.Conclusions:These results confirm that the majority (89%–90%) of integrative medicine patients are interested in receiving the results of clinical trials. The majority (82%–94%) of respondents felt the model plain language summary of results provided was helpful.

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14

Sampson, Geoffrey. "The empirical trend." International Journal of Corpus Linguistics 18, no. 2 (September 27, 2013): 281–89. http://dx.doi.org/10.1075/ijcl.18.2.05sam.

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Linguistic science of the past half-century has often been distorted through neglect of normal scientific standards of empirical falsifiability. An earlier paper in this journal used a quantitative literature survey to examine how far in practice the newer trend towards use by linguists of corpora and other empirical data sources had progressed. The result was ambiguous: a trend towards greater empiricism had occurred since about 1970, but around the turn of the century it appeared to have reversed, and the end of the period surveyed (2002) fell so soon thereafter that it was hard to guess whether this reversal was a blip or a long-term change. With a further decade of linguistic literature to examine, the present paper repeats the survey using a more systematic sampling technique, and this yields results that are much more clearcut than those of the earlier paper.

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15

Hendricks, Kenneth, and Harry J. Paarsch. "A Survey of Recent Empirical Work concerning Auctions." Canadian Journal of Economics 28, no. 2 (May 1995): 403. http://dx.doi.org/10.2307/136037.

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16

Blundell, Richard. "Consumer Behaviour: Theory and Empirical Evidence--A Survey." Economic Journal 98, no. 389 (March 1988): 16. http://dx.doi.org/10.2307/2233510.

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17

MUMMOLO, JONATHAN, and ERIK PETERSON. "Demand Effects in Survey Experiments: An Empirical Assessment." American Political Science Review 113, no. 2 (December 11, 2018): 517–29. http://dx.doi.org/10.1017/s0003055418000837.

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Survey experiments are ubiquitous in social science. A frequent critique is that positive results in these studies stem from experimenter demand effects (EDEs)—bias that occurs when participants infer the purpose of an experiment and respond so as to help confirm a researcher’s hypothesis. We argue that online survey experiments have several features that make them robust to EDEs, and test for their presence in studies that involve over 12,000 participants and replicate five experimental designs touching on all empirical political science subfields. We randomly assign participants information about experimenter intent and show that providing this information does not alter the treatment effects in these experiments. Even financial incentives to respond in line with researcher expectations fail to consistently induce demand effects. Research participants exhibit a limited ability to adjust their behavior to align with researcher expectations, a finding with important implications for the design and interpretation of survey experiments.

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18

Zafeiriou, Eleni, Veronika Andrea, Stilianos Tampakis, and Paraskevi Karanikola. "Wetlands Management in Northern Greece: An Empirical Survey." Water 12, no. 11 (November 13, 2020): 3181. http://dx.doi.org/10.3390/w12113181.

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Water management projects have an important role in regional environmental protection and socio-economic development. Environmental policies, strategies, and special measures are designed in order to balance the use and non-use values arising for the local communities. The region of Serres in Northern Greece hosts two wetland management projects—the artificial Lake Kerkini and the re-arrangement of Strymonas River. The case study aims to investigate the residents’ views and attitudes regarding these two water resources management projects, which significantly affect their socio-economic performance and produce several environmental impacts for the broader area. Simple random sampling was used and, by the application of reality and factor analyses along with the logit model support, significant insights were retrieved. The findings revealed that gender, age, education level, and marital status affect the residents’ perceived values for both projects and their contribution to local growth and could be utilized in policy making for the better organization of wetland management.

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19

Roll, Richard. "An empirical survey of Indonesian equities 1985–1992." Pacific-Basin Finance Journal 3, no. 2-3 (July 1995): 159–92. http://dx.doi.org/10.1016/0927-538x(95)00009-a.

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20

Lindsay, Bruce E. "An Empirical Overview of the NAREA Membership Survey." Northeastern Journal of Agricultural and Resource Economics 15, no. 2 (October 1986): 117–22. http://dx.doi.org/10.1017/s0899367x00001100.

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During the period of transition that culminated in our professional organization being renamed the Northeastern Agricultural and Resource Economics Association (formerly the Northeastern Agricultural Economics Council), discussion centered upon such issues as the composition of the executive committee, the election procedures for officers, financial stability, and membership involvement. As a result of such discussions, a questionnaire was designed to ascertain Association members’ attitudes towards the organization in three areas of interest: members’ professional background, members’ evaluation of the annual meeting, and attitudes towards our Journal. The objective of this survey was to establish attitudinal data for background information for future discussions concerning our Association.

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21

Zhao, Puying, Malay Ghosh, J. N. K. Rao, and Changbao Wu. "Bayesian empirical likelihood inference with complex survey data." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 82, no. 1 (October 20, 2019): 155–74. http://dx.doi.org/10.1111/rssb.12342.

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22

Worthington, Andrew C., and Mark Hoffman. "AN EMPIRICAL SURVEY OF RESIDENTIAL WATER DEMAND MODELLING." Journal of Economic Surveys 22, no. 5 (July 24, 2008): 842–71. http://dx.doi.org/10.1111/j.1467-6419.2008.00551.x.

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23

Massicotte, Louis, and André Blais. "Mixed electoral systems: a conceptual and empirical survey." Electoral Studies 18, no. 3 (September 1999): 341–66. http://dx.doi.org/10.1016/s0261-3794(98)00063-8.

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24

Im, Fernando Gabriel, and David Rosenblatt. "Middle-Income Traps: A Conceptual and Empirical Survey." Journal of International Commerce, Economics and Policy 06, no. 03 (October 2015): 1550013. http://dx.doi.org/10.1142/s1793993315500131.

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The term "middle-income trap" has entered common parlance in the development policy community, despite the lack of a precise definition. This paper discusses in more detail the definitional issues associated with the term. It also provides evidence on whether the growth performance of middle-income countries (MICs) has been different from other income categories, including historical transition phases in the inter-country distribution of income. A transition matrix analysis and an exploration of cross-country growth patterns provide little support for the existence of a middle-income trap.

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25

Mathieu, Sverine, Anne Fagot-Largeault, and Philippe Amiel. "Acculturating Human Experimentation: An Empirical Survey in France." Journal of Medicine and Philosophy 26, no. 3 (June 1, 2001): 285–98. http://dx.doi.org/10.1076/jmep.26.3.285.3022.

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26

Herzig, Christian. "Corporate volunteering in Germany: survey and empirical evidence." International Journal of Business Environment 1, no. 1 (2006): 51. http://dx.doi.org/10.1504/ijbe.2006.010128.

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27

Baruch, Yehuda, and Maury Peiperl. "Career management practices: An empirical survey and implications." Human Resource Management 39, no. 4 (2000): 347–66. http://dx.doi.org/10.1002/1099-050x(200024)39:4<347::aid-hrm6>3.0.co;2-c.

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28

Mahdi, Salehi, and Baezegar Bahram. "A survey of empirical studies on management ownership." African Journal of Business Management 5, no. 17 (September 4, 2011): 7188–97. http://dx.doi.org/10.5897/ajbm11.144.

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29

Lanfranchi, Maurizio, Grazia Calabrò, Angelina De Pascale, Alessandro Fazio, and Carlo Giannetto. "Household food waste and eating behavior: empirical survey." British Food Journal 118, no. 12 (December 5, 2016): 3059–72. http://dx.doi.org/10.1108/bfj-01-2016-0001.

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Purpose In the food chain the identification of household food wastes represents the most problematic aspect to analyze: both as regards the assessment of its qualitative and quantitative aspects and for the detection of measures to reduce or control its generation. In 2012, in fact, the analyzed area showed an inequality index for disposable income of 6.3, and a relative poverty risk index of 42.3. The paper aims to discuss these issues. Design/methodology/approach In order to get deeper insights into consumers’ wasting behaviors, a survey on food waste generation in households was carried out in a province of Sicily (Italy). The questionnaire has been formulated taking into account the socio-demographic characteristics for the person who, in the family, usually makes the expenditure, in particular: gender, age, marital status, number of household members, education level, type (single, with or without children, married with or without children), worker and/or student if responsible for food shopping, the number of monthly meals, the kind of ready meal eaten (frozen, fresh, canned or freeze-dried), net monthly income for the family, etc. (adapted by Bae et al., 2010). The data collected from the statistical return of the consumers were drawn up to transform the same data into information of simpler and more concise interpretation. Findings The results of the survey are presented in this paper. They can help understand the reasons for discarding edible food and to identify the food groups that are most wasted. Research limitations/implications The analysis of a larger land area or community allows most relevant conclusions. The research has an exploratory perspective since the sample strategy is not probabilistic. Social implications The findings could be susceptible to support practical and social implications for the identification of measures and instruments aimed at reducing food waste and at increasing consumers’ awareness on that issue. Originality/value The study can stimulate sustainable consumption and consumer behavior especially in light of the current economic crisis.

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30

Zhao, Puying, J. N. K. Rao, and Changbao Wu. "Empirical likelihood inference with public-use survey data." Electronic Journal of Statistics 14, no. 1 (2020): 2484–509. http://dx.doi.org/10.1214/20-ejs1726.

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31

S V V, Prasad. "Empirical Survey on Light Weight Silica Fume Concretes." International Journal of Civil Engineering 2, no. 5 (May 25, 2015): 28–31. http://dx.doi.org/10.14445/23488352/ijce-v2i5p108.

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32

Helal, Sumyea. "Subgroup Discovery Algorithms: A Survey and Empirical Evaluation." Journal of Computer Science and Technology 31, no. 3 (May 2016): 561–76. http://dx.doi.org/10.1007/s11390-016-1647-1.

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33

Zhang, Li, Jia-Hao Tian, Jing Jiang, Yi-Jun Liu, Meng-Yuan Pu, and Tao Yue. "Empirical Research in Software Engineering — A Literature Survey." Journal of Computer Science and Technology 33, no. 5 (September 2018): 876–99. http://dx.doi.org/10.1007/s11390-018-1864-x.

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34

Nightingale, Peter. "The extended global cardinality constraint: An empirical survey." Artificial Intelligence 175, no. 2 (February 2011): 586–614. http://dx.doi.org/10.1016/j.artint.2010.10.005.

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35

Kahn, Edward P. "Risks in independent power contracts: An empirical survey." Electricity Journal 4, no. 9 (November 1991): 30–45. http://dx.doi.org/10.1016/1040-6190(91)90114-9.

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36

Mandić, Luka, and Ksenija Klasnić. "Is It Biased? Empirical Analysis of Various Phenomena That Affect Survey Results." Revija za sociologiju 51, no. 2 (August 31, 2021): 231–56. http://dx.doi.org/10.5613/rzs.51.2.3.

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It is often assumed that survey results reflect only the quality of the sample and the underlying measuring instruments used in the survey. However, various phenomena can affect the results, but these influences are often neglected when conducting surveys. This study aimed to test the influences of various method effects on survey results. We tested the influences of the following method effects: item wording, confirmatory bias, careless responding, and acquiescence bias. Using a split-ballot survey design with online questionnaires, we collected data from 791 participants. We tested if these method effects had an influence on mean values, item correlations, construct correlations, model fits, and construct measurement invariance. The instruments used to test these influences were from the domain of personality and gender inequality, and their items were adapted based on the method effect tested. All tested method effects, except careless responding, had a statistically significant effect on at least one component of the analysis. Item wording and confirmatory bias affected mean values, model fit, and measurement invariance. Controlling for acquiescence bias improved the fit of the model. This paper confirms that the tested method effects should be carefully considered when using surveys in research, and suggests some guidelines on how to do so.

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37

Friesenbichler, Klaus S., Eva Selenko, and George Clarke. "Perceptions of Corruption: An Empirical Study Controlling for Survey Bias." Journal of Interdisciplinary Economics 30, no. 1 (September 14, 2017): 55–77. http://dx.doi.org/10.1177/0260107917723787.

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Survey data on corruption are widely used to construct corruption indices, but are hardly questioned. How do individual experiences shape perceptions of corruption? Do more work-engaged respondents perceive corruption as a bigger obstacle to business operations than others? What role does answer bias play in corruption surveys? This article brings together several strands of literature to discuss these questions, and tests them empirically with survey data from Bangladesh and Sri Lanka. We find that individuals who are more work engaged report corruption as a bigger obstacle. So did respondents who were previously exposed to corruption. We control for possible answer bias by implementing a randomized response technique, and find that corruption tends to be under-reported. The effects of work engagement and prior exposure to corruption are more pronounced when the bias indicator is considered, and again become stronger once we control for answer bias affecting past experiences with corruption. JEL: C83, D03, D73, O12

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38

Sullivan, Andrew L. "Wildland surface fire spread modelling, 1990 - 2007. 2: Empirical and quasi-empirical models." International Journal of Wildland Fire 18, no. 4 (2009): 369. http://dx.doi.org/10.1071/wf06142.

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In recent years, advances in computational power have led to an increase in attempts to model the behaviour of wildland fires and to simulate their spread across landscape. The present series of articles endeavours to comprehensively survey and précis all types of surface fire spread models developed during the period 1990–2007. The current paper surveys models of an empirical or quasi-empirical nature. These models are based on the statistical analysis of experimentally obtained data with or without some physical framework for the basis of the relations. Other papers in the series review models of a physical or quasi-physical nature, and mathematical analogues and simulation models. The main relations of empirical models are those of wind speed and fuel moisture content with rate of forward spread. The focus of the discussion is on the treatment of the wind speed and fuel moisture functions by the models.

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39

Xu, Kaibin. "An Empirical Study of Confucianism." Management Communication Quarterly 25, no. 4 (May 19, 2011): 644–62. http://dx.doi.org/10.1177/0893318911405621.

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Globalization has led to increased interest in leadership in indigenous cultures. The current study focused on developing a scale of faculty members’ perception of preferred academic leadership in Chinese universities. Seven factors were generated from the Confucian principles of leadership and were used to code and group items gathered through interviews. A survey consisting of 41 leadership items was administered to participants. Confirmatory factor analyses of three hypothesized models using LISREL 8.8 demonstrate that the survey is reliable with five confirmed factors—morality, nurturing, communicating/relating, fairness, and administrative competence. The findings suggest that the contemporary Chinese view of leadership is consistent with the Confucian philosophy of leadership.

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40

van der Waldt, Gerrit, David Fourie, Johan Jordaan, and Margaret Chitiga-Mabugu. "Skills profile of technical staff in the south African local government sector: an empirical survey." Problems and Perspectives in Management 16, no. 1 (February 27, 2018): 173–85. http://dx.doi.org/10.21511/ppm.16(1).2018.17.

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The purpose of this article is to reflect on the findings of a local government sector-wide technical skills audit. A mixed-method research design was followed in both a positivist and interpretivist scientific paradigm to conduct the survey in local, district and metropolitan municipalities. Quantitative and qualitative data were processed and thematic analyses were done per respondent and participant category to obtain rich descriptions of current technical skills challenges and skills development priorities in local government. From the empirical survey it is evident that significant technical skills shortages exist, especially in rural district and local municipalities. This severely compromises the delivery of the four basic technical services, namely water provisioning, waste management, sanitation and sewerage, and electricity.

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41

Rossow, Ingeborg. "How Well Do Survey Studies Capture Alcohol's Harm to Others?" Substance Abuse: Research and Treatment 9s2 (January 2015): SART.S23503. http://dx.doi.org/10.4137/sart.s23503.

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Empirical studies assessing alcohol's harm to others very often rely on population survey data. This study addresses some of the problems and challenges in using survey data for this purpose. Such problems include the limited capacity of population surveys in identifying infrequent harm and long-term consequences of drinking. Moreover, the drinker may report the alcohol-related harm or the person being harmed may report the damage. However, irrespective of who reports the harm, causal attribution to drinking is problematic. Challenges for future population surveys to address alcohol's harm to others include the need for improved models and understanding of complex mechanisms to guide empirical studies within the broad range of harm. Study designs other than cross-sectional surveys, such as longitudinal study designs and combinations of population surveys and other data sources, are likely to overcome some of the identified problems in current population surveys of alcohol's harm to others.

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42

Gocheva, Margarita, Nikolay Kasakliev, and Elena Somova. "E-Learning During Covid-19 Pandemic: An Empirical Research." Mathematics and Informatics LXIV, no. 6 (December 31, 2021): 585–97. http://dx.doi.org/10.53656/math2021-6-3-ele.

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The COVID-19 pandemic changed our way of life, affected many industries, and had a major impact on education. The paper presents observations and analyses of the challenges raised by the short adaptation time of the learning process and the caused technical, academic, and communication difficulties. An overview of the distinctive features of e-learning during crises, with special attention to communication, feedback and pedagogical approaches in an electronic environment, has been made. Empirical research of the opinion of students and teachers about online learning was conducted. The used research methods are survey and direct observation. Special attention is paid to the results of the survey, which are presented and discussed in detail.

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43

Agapitou, Chrysa, Anna Liana, Dimitrios Folinas, and Aggeliki Konstantoglou. "Airbnb Is Customers’ Choice: Empirical Findings from a Survey." Sustainability 12, no. 15 (July 30, 2020): 6136. http://dx.doi.org/10.3390/su12156136.

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The main objective of this paper is to identify the incentives (strengths) that attract tourists to use the Airbnb platform. Moreover, Airbnb tourists’ expectations are compared to the services provided by hotels in order to assess their possible weaknesses. Via a quantitative survey that includes the exploration of the knowledge and use of this platform, a comparative analysis of the levels of agreement, along with a disagreement with the various incentives, are identified in order to highlight how important the practical factors for Airbnb’s choice are. The results show that the hotel industry is actually exposed to Airbnb’s existence and clearly disputes the statement as to whether Aibnb complements or just competes with traditional accommodations.

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44

GIANNARAKIS, Grigoris, Eleni ZAFEIRIOU, Nikolaos SARIANNIDIS, and Kyriaki EFTHALITSIDOU. "DETERMINANTS OF DISSEMINATION OF ENVIRONMENTAL INFORMATION: AN EMPIRICAL SURVEY." Journal of Business Economics and Management 17, no. 5 (October 27, 2016): 749–64. http://dx.doi.org/10.3846/16111699.2016.1195771.

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The major objective of the present paper is to identify the factors that influence the dissemination of environmental information. In particular, analyst stock recommendation, country level risk, corporate value and environmental performance are surveyed as determinants of the environmental dissemination level. The survey was based on a sample of 92 multinational firms for the period 2009–2013, longer than that used in most past works. The methodology employed on our data is the panel data analysis with fixed effects. As proxies, for the dissemination level of environmental information, two different environmental disclosure indexes are used the Environmental Disclosure Score and Carbon Disclosure Leadership Index. According to our findings, the environmental performance in terms of Emission Reduction Initiatives and the country’s risk premium affects in a positive way the dissemination of environmental disclosures while the results regarding the stock analyst recommendation are controversial. Another important finding is that the firm’s value is validated as an insignificant factor for the dissemination level of environmental information. The aforementioned results provide the corporate managers with a tool to attract environmental friendly investors. The novelty on the present manuscript stands on the use of proxies for the environmental performance; namely the first one is based on outcome – objective while the second one refers to the corporate intention, elements that enrich the existing literature in the field of environmental behavior and dissemination of the environmental information of a firm.

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45

Pierucci, Eleonora. "A survey of empirical studies on international risk sharing." QA Rivista dell'Associazione Rossi-Doria, no. 2 (July 2014): 7–44. http://dx.doi.org/10.3280/qu2014-002001.

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46

Bhatia, Sugandh, and Jyoteesh Malhotra. "Cloud Security and Forensic Awareness Survey: An Empirical Analysis." Journal of Engineering and Applied Sciences 14, no. 2 (December 10, 2019): 539–44. http://dx.doi.org/10.36478/jeasci.2019.539.544.

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47

Zhan, Qian. "Survey evidence in China's trademark lawsuits: an empirical study." Queen Mary Journal of Intellectual Property 7, no. 3 (September 2017): 306–30. http://dx.doi.org/10.4337/qmjip.2017.03.03.

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48

Balaji, Saravana, Amin Salih, and Chiai Al-Atroshi. "Adaptability of SOA in IoT Services – An Empirical Survey." International Journal of Computer Applications 182, no. 31 (December 17, 2018): 25–28. http://dx.doi.org/10.5120/ijca2018918249.

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49

Zhang, Gexiang. "Quantum-inspired evolutionary algorithms: a survey and empirical study." Journal of Heuristics 17, no. 3 (June 29, 2010): 303–51. http://dx.doi.org/10.1007/s10732-010-9136-0.

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Harhoff, Dietmar, and Timm Körting. "Lending relationships in Germany – Empirical evidence from survey data." Journal of Banking & Finance 22, no. 10-11 (October 1998): 1317–53. http://dx.doi.org/10.1016/s0378-4266(98)00061-2.

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