Journal articles: 'Industry-based studies'

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Deshpande, C. V., Tapas Nandy, and S. N. Kaul. "Studies on treatment of wastewater from tapioca based sago industry." Journal of Environmental Science and Health . Part A: Environmental Science and Engineering and Toxicology 29, no. 10 (December 1994): 2255–68. http://dx.doi.org/10.1080/10934529409376178.

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Kauppinen, Timo P. "Development of a Classification Strategy of Exposure for Industry-Based Studies." Applied Occupational and Environmental Hygiene 6, no. 6 (June 1991): 482–87. http://dx.doi.org/10.1080/1047322x.1991.10387916.

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Chavers, Scott, Daniel Fife, Mary Wacholtz, Paul Stang, and Jesse Berlin. "Registration of Observational Studies: perspectives from an industry-based epidemiology group." Pharmacoepidemiology and Drug Safety 20, no. 10 (August 25, 2011): 1009–13. http://dx.doi.org/10.1002/pds.2221.

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Luo, Fu Zhou, and Shu Ling Liu. "Industry Clusters Innovation Action Model Based on the CAS Theory – Shanxi Magnesium Industry." Applied Mechanics and Materials 580-583 (July 2014): 2528–32. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.2528.

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Based on complex adaptive systems (CAS) theory, using the method of case studies to explore the Shaanxi Province magnesium industry cluster knowledge innovation behavior. Based on the complexity stimulus—response rules, build the knowledge innovation system of metallic magnesium industry cluster main body behavior patterns; Based on complex adaptive - learning, building the overall behavior pattern of magnesium metal industry cluster knowledge innovation system; and based on the complex level—emerge theory, build the magnesium industry cluster evolution behavior pattern of knowledge innovation system. Use CAS theory to solve the problem of knowledge innovation in industrial cluster, which offers a basis for realize the sustainable and health development of industry cluster better.

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Dong, Feng, Qiguo Gong, Hui Wang, Siyuan Yi, and Yue Cai. "Rest Breaks Arrange Based on Empirical Studies of Productivity in Manufacturing Industry." Asian Economic and Financial Review 9, no. 9 (2019): 1043–66. http://dx.doi.org/10.18488/journal.aefr.2019.99.1043.1066.

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Jousma, Harmen. "Science-Based Business Studies at Leiden University." Industry and Higher Education 20, no. 4 (August 2006): 257–61. http://dx.doi.org/10.5367/000000006778175766.

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The Science Based Business (SBB) programme was established at Leiden University in 2001 in an effort to counter the unidirectional professionalism of students in science studies – not explicitly to meet the needs of business and industry. Nor is SBB a stand-alone Master's programme like the MS/MBA or the PSM in the USA: rather, it is designed to be an elective in all Leiden's research Master's programmes. It attracts both those students who want to stay on to study for a PhD and those who seek an occupation outside fundamental research. Especially pertinent to building capacity for innovation is the new course, ‘Orientation on Technopreneurship’, which is taught alongside the SBB programme. Because career opportunities for SBB and OOT graduates are diverse, the organizers have avoided an industry-specific focus in both cases.

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Hall, John Henry. "Value creation measures: an industry-based study." International Journal of Productivity and Performance Management 67, no. 2 (February 12, 2018): 426–44. http://dx.doi.org/10.1108/ijppm-08-2016-0178.

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Purpose The purpose of this paper is to identify the shareholder value creation measure best suited to express shareholder value creation for a particular industry. Design/methodology/approach The analysis was performed on 192 companies listed on the Johannesburg Stock Exchange, classified into nine different samples or industries. Five shareholder value creation measures were examined, namely market value added (MVA), a market-adjusted stock return, the market-to-book ratio, Tobin’s Q ratio, and the return on capital employed divided by the cost of equity. Findings An analysis of the nine categories of firms led to the identification of different measures that are suited to express value creation. Stock returns did not provide an appropriate value measure. Instead, depending on the specific industry, Tobin’s Q ratio, MVA, and the market-to-book ratio should be used to measure and express value creation. Practical implications For management, the value drivers identified for each industry present a clear indication of industry-specific variables upon which they can focus in operating activities to most efficiently increase shareholder value. Originality/value Unlike previous studies that use only one or two different shareholder value creation measures as dependent variables, this study uses five different value creation measures. Another contribution of this study is the compilation of a unique set of value drivers that explain shareholder value creation separately for each of the nine different categories of firms.

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Chang, Shu-Hao. "Key licensing technologies for patents based on university– industry collaboration." International Journal of Innovation Science 11, no. 4 (November 29, 2019): 539–60. http://dx.doi.org/10.1108/ijis-03-2019-0030.

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Purpose As the university–industry collaboration (UIC) gradually attracts the attention of various national governments, the number of studies on UIC has increased substantially. Past UIC studies have mostly focused on investigating the incentives and the motivation for UIC, forms of UIC and performance output of UIC. However, they have not actively identified the key technologies and technology distribution that are conductive to the commercialization of UIC outcomes. Therefore, this study aims to adopt the licensed UIC patents as the basis for analysis and to construct a patent licensing technology network. Design/methodology/approach This study focused on licensed patents because past studies have indicated that such patents usually have higher value. Moreover, patent licensing can be seen as the final step for the commercialization of UIC outcomes. Finally, past studies have rarely explored patent examiners’ views on key technologies. However, during the substantive examination of patents, patent examiners often use their background knowledge regarding the technology to include citations to other patented technologies that they consider valuable or indispensable. Therefore, this study focused on investigating the patents recognized and cited by patent examiners and conducted key technology identification. Findings The results indicated that past key technologies in UIC focused on surveying, medicine, biochemistry and electric digital data processing; these fields are crucial to the commercialization of key UIC technologies. Finally, the USA, Japan, Sweden and Germany play critical roles in the network of global university–industry cooperation and technology licensing. Originality/value Patent examiners’ perspectives were adopted to establish a patent licensing technology network, through which the key technologies that could promote UIC patent licensing were mined. This study can also serve as a reference for resource allocation in university research and development and for governments to promote new technologies.

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He, Xiao Ying, and Hui Zhou. "Investment Analysis of Electricity Industry Based on Cointegration Model." Advanced Materials Research 433-440 (January 2012): 2400–2405. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2400.

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By undertaking the cointegration theory with annual data over the period 1978-2008 in China, empirical studies on the relationship among power investment, electricity consumption and economic growth is carried out, and long-term equilibrium model and short-term vector error correction model are established; Granger causality test indicates that power investment is not the Granger causality of electricity consumption, while there exists bidirectional Granger causalities between electricity consumption and economic growth.

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Moroney, Robyn, and Peter Carey. "Industry- versus Task-Based Experience and Auditor Performance." AUDITING: A Journal of Practice & Theory 30, no. 2 (May 1, 2011): 1–18. http://dx.doi.org/10.2308/ajpt-10060.

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SUMMARY The purpose of this study is to investigate the relative influence of industry- and task-based experience on auditor performance. Prior research has shown that both forms of experience can be beneficial, but studies thus far have not clarified their relative importance. Non-specialist auditor participants are used as they gain task experience across a range of industries, making it possible to disentangle the impact of each on performance. The literature indicates that the knowledge gained from industry-based experience can be applied to unfamiliar tasks set within a familiar industry context. Results from a behavioral experiment indicate that, as expected, industry-based experience has a more significant impact on auditor performance than task-based experience. Performance gains through industry experience are found to occur quickly and then level out. Reported results have implications for audit staff allocations to optimize auditor performance. JEL Classifications: M42. Data Availability: Data and the tasks used in this study are available on request.

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Peters, David J. "Using Labor-Based Industry Complexes for Workforce Development in Missouri." Economic Development Quarterly 19, no. 2 (May 2005): 138–56. http://dx.doi.org/10.1177/0891242404271962.

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Koskinen, Jari, Josu Takala, and Joseph Sebuwufu Awali. "DYNAMIC BUSINESS MODEL BASED ON RESEARCH IN POWER ELECTRONICS INDUSTRY." Management and Production Engineering Review 4, no. 4 (December 1, 2013): 35–44. http://dx.doi.org/10.2478/mper-2013-0039.

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Abstract The recent global economic crisis has caused an uncertain and challenging business environment and has battered managements that are running businesses all over the world. This paper focuses on new capabilities that can be used successfully in a fast changing business environment for improving firms’ efficiency. This research utilizes constructive approach including interviews and case studies. The relevant findings of the study are the elements of the key success factors: entrepreneurial strategy, R&D to market performance, dynamic operational excellence and innovativeness with links to the key actions which have led to new business model called dynamic business model (DBC). This research focuses on power electronics business industry which at the same time is a limitation. This research helps directors and managers to think more widely and make better decisions for the success of the company. This research results bring additional value of the previous studies regarding a firm’s key success factors and dynamic capabilities.

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Zulkarnain, Iskandar, Nor Adila Mohamad Kassim, M. I. Syakir, Azhar Abdul Rahman, Mohamad Shaiful Md Yusuff, Rosdin Mohd Yusop, and Ng Oon Keat. "Sustainability-Based Characteristics of Abrasives in Blasting Industry." Sustainability 13, no. 15 (July 21, 2021): 8130. http://dx.doi.org/10.3390/su13158130.

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The abrasive blasting industry is identified as the most unsafe operation in terms of potential exposure to airborne crystalline silica. This is due to the free silica content in the common abrasives that are used for blasting activities. This paper will identify a sustainability-based or green blasting media to replace free silica content abrasives for blasting activities. The characteristics of sustainability-based abrasives are determined based on systematic review procedure. The combination keywords of “Abrasive blasting”, “Garnet’’, “Free Silica Media”, “Sustainable blasting”, “Eco-friendly blasting”, “Glass Bead blasting” and “Green blasting” were used to collect the existing studies on abrasive blasting operations. Six characteristics of green abrasives were identified: (1) zero content of free silica, (2) high efficiency and productivity, (3) low consumption media (4) low amount of waste generation and emission potentials (5) high recyclability and (6) environmentally friendly in line with sustainable development goals SDG3, SDG12, SDG13, SDG14 and SDG15. The application of green abrasives as substitution to free silica media is therefore important not only for safety and health reasons, but also for the environmental protection and sustainable business operations.

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Nugrahani, Tri Siwi, Yuni Nustini, Imanda Firmantyas Putri, and Teguh Erawati. "Industry 4.0 and University Performace Based on Prism Theory." Journal of Business Management Review 2, no. 2 (February 19, 2021): 065–91. http://dx.doi.org/10.47153/jbmr22.892021.

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This article aims to evaluate the performance of higher education based on the Higher Education National Standard (SN) which is implemented with the performance of Prisma. Prisma performance appraisal is able to assess the performance of all entities from various stakeholders including for universities in Indonesia. Every Prism performance appraisal goes through a satisfaction orientation, strategy, process, capability and contribution. Prism is very suitable for organizational assessment, especially in the era of the Industrial Revolution 4.0 because every aspect will always be related and affect performance achievement. Prism-based higher education performance studies by compiling Higher Education Standards can be used to add references as a measure of the level of satisfaction of stakeholders and can improve PT performance internally

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Juzsakova, Tatjána, Noor Al-Jammal, Igor Cretescu, Viktor Sebestyén, Cuong Le Phuoc, Endre Domokos, Ákos Rédey, and Catalina Stan. "Case Studies for Clean Technology Development in the Chemical Industry Using Zeolite Based Catalysts." Minerals 8, no. 10 (October 17, 2018): 462. http://dx.doi.org/10.3390/min8100462.

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This paper deals with the practical implementation of cleaner technologies in the chemical industry, using two case studies as an illustration. The first case study deals with the removal of NOx and N2O gases over an iron-doped ZSM-5 catalyst developed for tail gas treatment in nitric acid manufacturing. The aim for this case study was to investigate the efficiency of the zeolitic catalyst in the DeNOx process and to compare its catalytic activity with the conventional vanadia-titania. By the experiments carried out, it can be concluded that the new technological developments could significantly contribute to a decrease in environmental pollution. The second case study focuses on zeolite-based catalysts prepared from zeolitic tuff by the impregnation method, for biodiesel production from waste sunflower vegetable oil. The effects of operating and processing variables such as reaction temperature and time were investigated. The results showed that the highest biodiesel yield was 96.7% at an 11.5 MeOH/oil molar ratio, in the presence of 6.4 wt % catalyst at a 50 °C reaction temperature and reaction time of 2 h. The properties of the biodiesel that was produced, such as the viscosity, meet the required specifications of standard JUS EN14214. The common feature of the two different case studies is that both technologies use zeolite catalysts, namely naturally-occurring zeolitic tuff and synthetic ZSM type zeolite catalyst. The examples shown emphasize the importance of the zeolites in clean chemical technologies, which contribute to the protection of the environment.

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Cintamür, İsmail Gökhan, and Cenk Arsun Yüksel. "Measuring customer based corporate reputation in banking industry." International Journal of Bank Marketing 36, no. 7 (October 1, 2018): 1414–36. http://dx.doi.org/10.1108/ijbm-11-2017-0227.

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Purpose The purpose of this paper is to develop and validate a reliable and valid alternative scale to measure customer-based corporate reputation (CBCR) specific to the banking industry only, where high risks and uncertainties of choosing a service provider exist. Design/methodology/approach Both qualitative and quantitative methods were employed to develop and validate an alternative scale to measure CBCR in the banking industry. Following Churchill’s (1979) paradigm and other prominent scale development studies, a scale development procedure was generated, which consists of three main stages: scale generation and initial purification, scale refinement and scale validation. Findings As a consequence of the current study, a reliable and valid multidimensional scale was obtained, consisting of 20 items and four dimensions to measure CBCR in banking industry: financial performance and financially strong company, customer orientation, social and environmental responsibility and trust. Practical implications This study provides insight to managers to comprehend and manage their CBCR. Since this study has empirically demonstrated that the four dimensions of the CBCR are associated with the five important customer outcome variables, the study provides further support toward the importance of corporate reputation in strategic marketing decisions in the banking industry. Originality/value Numerous different disciplines have focused on corporate reputation measurement by adapting different perspectives and approaches. However, a reliable and valid measurement tool has been proposed here to evaluate corporate reputation from customers’ perspective specific to banking industry.

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Zhang, Wei, and Wenrui Zhang. "Knowledge creation through industry chain in resource-based industry: case study on phosphorus chemical industry chain in western Guizhou of China." Journal of Knowledge Management 22, no. 5 (June 11, 2018): 1037–60. http://dx.doi.org/10.1108/jkm-02-2017-0061.

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PurposeThis paper aims to provide a theoretical frame and practical experience for understanding and improving knowledge creation in the RIC. This paper proved through an empirical study that knowledge transfer, knowledge assimilation and knowledge sharing between firms in a resource-based industry chain (RIC) have positive influence on knowledge creation.Design/methodology/approachA theoretical model covering knowledge transfer, knowledge assimilation, knowledge sharing and knowledge creation is established in this paper. The research object is the phosphorus chemical industry chain in central Guizhou.FindingsThe findings of this paper provide a theoretical frame and practical experience for understanding and improving knowledge creation in the RIC.Research limitations/implicationsThe subjective measures of knowledge capacities present a serious limitation. Another limitation is that the authors examined knowledge creation within the context of RIC. The cross-sectional design prevented the authors from studying causal relationships among the variables.Originality/valueFirst, it contributes to the knowledge creation of inter-organization literature. Second, it contributes to the studies of knowledge creation in supply chains. Third, this study demonstrates the importance of investigating the strong network embeddedness and industry property of RIC, which have a critic effect on the capabilities of knowledge sharing, transfer and assimilation.

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Silva, Nuno. "Time-varying equity premium forecasts based on industry indexes." Applied Finance Letters 9 (December 9, 2020): 132–42. http://dx.doi.org/10.24135/afl.v9i.298.

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Various studies report that the ability of industry indexes to predict the broad market disappeared during the most recent years. I revisit this theme using more flexible switching models and imposing economically motivated constraints on the predictions. My results show that traditional constant coefficients linear models are unable to forecast the stock market over the period considered, but restricting the equity premium to be non-negative, five industries predict the market. I also show that the Markov-switching models exhibit a dismal performance, which is even worse than the ones from the constant coefficients model. Finally, I test a model with two regimes- recession and expansion- which are identified in real-time through the Arouba-Diebold-Scotti Business Conditions Index. Using this model, I find that 8 out of 33 industries can successfully forecast the market. Furthermore, a mean-variance investor who bases his decisions on it obtains sizeable utility gains, relative to another investor who uses, exclusively, the historical returns.

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Shin, Hyun-Jun, Kyoung-Woo Cho, and Chang-Heon Oh. "SVM-Based Dynamic Reconfiguration CPS for Manufacturing System in Industry 4.0." Wireless Communications and Mobile Computing 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/5795037.

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CPS is potential application in various fields, such as medical, healthcare, energy, transportation, and defense, as well as Industry 4.0 in Germany. Although studies on the equipment aging and prediction of problem have been done by combining CPS with Industry 4.0, such studies were based on small numbers and majority of the papers focused primarily on CPS methodology. Therefore, it is necessary to study active self-protection to enable self-management functions, such as self-healing by applying CPS in shop-floor. In this paper, we have proposed modeling of shop-floor and a dynamic reconfigurable CPS scheme that can predict the occurrence of anomalies and self-protection in the model. For this purpose, SVM was used as a machine learning technology and it was possible to restrain overloading in manufacturing process. In addition, we design CPS framework based on machine learning for Industry 4.0, simulate it, and perform. Simulation results show the simulation model autonomously detects the abnormal situation and it is dynamically reconfigured through self-healing.

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Koo, Jun. "Knowledge-based Industry Clusters: Evidenced by Geographical Patterns of Patents in Manufacturing." Urban Studies 42, no. 9 (August 2005): 1487–505. http://dx.doi.org/10.1080/00420980500185249.

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Garattini, Livio, Daniela Koleva, and Gianluigi Casadei. "Modeling in pharmacoeconomic studies: Funding sources and outcomes." International Journal of Technology Assessment in Health Care 26, no. 3 (June 29, 2010): 330–33. http://dx.doi.org/10.1017/s0266462310000322.

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Objectives: The prime objective of this study was to investigate whether sponsorship by the pharmaceutical industry affected the results of full economic evaluations (FEE) based on modeling. In particular, we focused on the flourishing literature based on Markov models, by far the most widely exploited tool for estimating lifetime costs and benefits.Methods: We made a literature search of the international database PubMed to find all the studies on pharmacological treatments based on Markov models published in English in the period January 1, 2004 to June 30, 2009. We selected the FEEs focused on single drugs only, specifically cost-effectiveness and cost-utility analyses. Two hundred articles including FEEs based on Markov models were considered eligible. For the analysis, we classified the FEEs into two groups according to whether or not they had financial backing from the pharmaceutical industry. We then assessed the main conclusions, which were classified as (i) “favorable,” (ii) “doubtful,” and (iii) “unfavorable.”Results: Of the 200 articles, 138 (69 percent) were sponsored and 162 (81 percent) reached favorable conclusions. Sponsored studies were much more likely to report favorable conclusions than nonsponsored ones (95 percent and 50 percent, p < .001), the former even omitting unfavorable conclusions.Conclusions: The review found a substantial share of studies supported by the pharmaceutical industry, almost all concluding in favor of the drug studied, without any unfavorable conclusions at all. These results confirm also in the field of pharmacoeconomic studies that the best way of limiting confounding factors is by clearly distinguishing assessors from manufacturers and marketers of any new technology.

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Henninger, Matthias, Wolfgang Schlüter, Dominik Jeckle, and Jörg Schmidt. "Simulation Based Studies of Energy Saving Measures in the Aluminum Tool and Die Casting Industry." Applied Mechanics and Materials 856 (November 2016): 131–39. http://dx.doi.org/10.4028/www.scientific.net/amm.856.131.

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This study, which focuses on analyzing aluminum melting and die casting procedures is part of the Smart Melting project in the research network Green Factory Bavaria (GFB). The aim of the present research project is to investigate these procedures and to suggest measures to increase the overall energy efficiency. The analysis starts with the capture of the operating structure, the relations between supply and consumption of liquid aluminum and an evaluation of aluminum furnaces themselves. The study concentrates on shaft furnaces whose specific energy consumption is 25 % higher than stated by the manufacturers. At the same time the melting capacity of the furnaces ranges at the lower end according to the manufacturer's data. The reason for this deviation is a discontinuous operation mode due to demand fluctuations. Consequently the flue gas has still a high temperature which means a high waste of energy. Based on these facts the furnace charge and operation mode have to be optimized and the high temperature flue gas can be used to preheat the pig aluminum.A numerical model of aluminum furnaces is applied to investigate this optimization potential. This model can simulate either a single aluminum furnace (case 1) or a furnace integrated in the entire manufacturing plant (case 2). The advantage of case 1 is the furnace's operation on its most efficient point because there is no influence of the die casting process. In case 1 an improvement of the furnace charge leads to a higher capacity utilization and therefore to a reduction of 30 % specific energy consumption and a 50 % increase of melting capacity. Whereas in case 2 the simulation of the entire manufacturing plant results in a rise of 25 % melting capacity and a 16 % decrease of specific energy consumption. The simulation proved increasing energy efficiency due to preheating the pig aluminum in both cases.

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Kamala, G. V., and K. N. Krishna Swamy. "A model for small-scale industry/university collaboration in the UK based on case studies." R&D Management 15, no. 1 (January 1985): 41–50. http://dx.doi.org/10.1111/j.1467-9310.1985.tb00030.x.

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Abualtaher, Mohd, and Eirin Skjøndal Bar. "Review of applying material flow analysis-based studies for a sustainable Norwegian Salmon aquaculture industry." Journal of Applied Aquaculture 32, no. 1 (September 25, 2019): 1–15. http://dx.doi.org/10.1080/10454438.2019.1670769.

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Olsen, Nina Veflen, and Geir Gripsrud. "Comparing internal and alliance-based New Product Development processes: case studies in the food industry." International Journal of Product Development 13, no. 3 (2011): 245. http://dx.doi.org/10.1504/ijpd.2011.040269.

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Yang, Zheng Shu, Shao Xun Lv, Peng Chong Cao, Muhammad Ibrahim Abdullah, and Wei Liu. "Key Technology Development Trend for Recycled Aluminum Industry Based on Technology Roadmap." Advanced Materials Research 335-336 (September 2011): 845–50. http://dx.doi.org/10.4028/www.scientific.net/amr.335-336.845.

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Recycled aluminum industry has great prospects in china. Early identification of key technologies for recycled aluminum plays a very important role in the healthy development of recycled aluminum industry. This paper studies the key technologies of recycled aluminum by technology roadmap method. Recycled aluminum technologies are evaluated by hierarchical analysis model, which is established by Delphi method, and then the key technologies of recycled aluminum industry are determined. Preliminary results and conclusions from this study point out the direction of technology research and technology upgradation for recycled aluminum industry.

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Kayaman, Rüçhan, and Huseyin Arasli. "Customer based brand equity: evidence from the hotel industry." Managing Service Quality: An International Journal 17, no. 1 (January 30, 2007): 92–109. http://dx.doi.org/10.1108/09604520710720692.

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PurposeThe paper aims to explore interrelations of the four brand equity components; brand awareness, brand loyalty, perceived quality and brand image in hotel industry and improve the conceptualization of customer‐based hotel brand equity.Design/methodology/approachThe paper is based on the recommendations of previous studies, the scale constructed to measure consumer‐based brand equity included brand awareness, brand loyalty, perceived quality and brand image. The present study used a sample of 345 actual customers from 11 different countries whose accommodation in North Cyprus hotels was used to test the relations of the proposed model Path analysis.FindingsThe findings in this paper support the three‐dimensional model of customer‐based brand equity in hotel industry. Brand awareness dimension was not found significant in the tested model for hotels. The present study contributes to the understanding of customer‐based brand equity measurement by examining the dimensionality of this construct.Research limitations/implicationsFurther research in this paper should attempt to examine brand equity across many different hotel categories. This will give the opportunity to make comparisons between different hotels' products and this concept. Furthermore, intra relationship of customer based‐brand equity components on the hotel performance needs to be investigated.Practical implicationsThe paper shows that hotel managers and executives should try to influence; perceived quality, brand loyalty, brand image and brand awareness in their organizations and design their service delivery process by considering relations between customer based brand equity components.Originality/valueThe principal contribution of the paper is that it provides important insights into the development and measurement of customer based hotel brand equity scale and limited hotel brand equity literature.

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Yao, Sheng, and Haotian Liang. "Analyst Following, Environmental Disclosure and Cost of Equity: Research Based on Industry Classification." Sustainability 11, no. 2 (January 9, 2019): 300. http://dx.doi.org/10.3390/su11020300.

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Prior studies argue that an analyst is an important mediator between a firm and investors, and has a significant influence on the cost of equity. However, how analyst following influences the cost of equity has not been studied in depth. In the Chinese setting, where environmental information has attracted much attention, we explore the interaction among analyst following, environmental information disclosure, and cost of equity. With two linear regression methods of ordinary least squares (OLS) and two-Stage least squares (2SLS), we establish regressions to verify the relationships among them by using empirical data from 2004 to 2011 in China. The results show that analyst following can improve environmental information disclosure and lower the cost of equity. This interaction is more significant in the heavy-pollution industry and after new environmental policy is issued. We also find that environmental disclosure has a mediating effect, which determines how analyst following influences the cost of equity. The results expand the research on environmental information’s motivations and economic consequences.

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Lu, Min, Xing Wang, and Yuquan Cang. "Carbon Productivity: Findings from Industry Case Studies in Beijing." Energies 11, no. 10 (October 17, 2018): 2796. http://dx.doi.org/10.3390/en11102796.

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Simultaneously protecting the environment and promoting the economy are two critical dimensions for sustainable development. Carbon productivity is popularly used in assessing the environmental and economic efficiency over time, and is deemed as the appropriate indicator of sustainable development. Given the prominent contribution of energy consumption to sustainable development, this study incorporates energy consumption into the Log Mean Divisia Index (LMDI) decomposition model to explore the main factors influencing carbon productivity change. Based on the data from 19 industries in Beijing from 2013 to 2016, this study then reports the carbon productivities and their changes. Energy productivity change is the main cause of carbon productivity changes, and its correlation with carbon productivity change is significantly positive, whereas there is a weak correlation and no significant difference in energy consumption per unit of carbon emissions. Although the average carbon productivities in all 19 industries increased year over year in Beijing, the average level could be further promoted by improving energy productivity. The carbon productivities of the primary and secondary industries are less than the average, and far below the tertiary industry level. For the primary industry, increasing economic levels is conducive to improving carbon productivity; for secondary industry, reducing energy consumption and enhancing energy efficiency are most effective; and for tertiary industry, maintaining an outstanding performance will guarantee sustainable development in Beijing. This study has defined carbon productivity change from the energy consumption perspective and for the first time, comprehensively measured it for all industries in Beijing. The results are expected to assist these industries to essentially improve productivity performance and thus improve development sustainability.

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Koerniawaty, Francisca Titing, and Muhamad Nova. "Developing Industry 4.0-Based English for Hospitality Business Learning Model." Premise: Journal of English Education 10, no. 1 (April 29, 2021): 1. http://dx.doi.org/10.24127/pj.v10i1.3557.

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This study aimed at developing English for Hospitality Business learning model which is adequate to Industry 4.0. This research applied the Research and Development research design. This study employed several research instruments, including a questionnaire, interview guide, observation field note, and expert judgment evaluation form. This study also invited a total number of six English lecturers and two experts on hospitality and management studies to participate in the study. As a result, a set of learning tools has been developed, including syllabus, lesson plan, and learning material. The syllabus made contains 14 learning outcomes distributed into sixteen learning topics in line with the hospitality management scope. The lesson plan developed has been arranged and organized with the combination of synchronous and asynchronous learning. The teaching and learning programs are designed for online and offline activities. The learning materials are arranged into a module covering learning materials, quiz, assignments, and discussion. The result of expert evaluation is 4.6 which can be classified as high-quality product. This learning model can be implemented for tourism vocational college, especially for hospitality management study program which needs the English subject as professional support to their career.

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Li, Lin Jun, Wen Jiang Li, Su Li, and Guo Yu Qiu. "The Measurement of Environmental Performance and Economic Performance Based on Catastrophe Theory: Case Studies of Thermal Power Industry and Steel Industry in China." Applied Mechanics and Materials 522-524 (February 2014): 1858–70. http://dx.doi.org/10.4028/www.scientific.net/amm.522-524.1858.

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We employed catastrophe theory and entropy method to measure and compare the environmental performance and economic performance of 40 listed companies from the thermal power and steel industries in China, to explore their relationship. The results showed that the environmental performance of the steel industry was less than that of the thermal power industry, but their economic performance was similar. This means that steel industry has had lower resource use efficiency and more pollutant emission, and has a larger potential to saving resources, energy and environment pollution. Both the correlation analysis and regression analysis indicated that there existed a significant positive relationship between the environmental performance and economic performance of the steel industry and thermal power industry in China. This means that it is very possible to gain win-win situation of these two performances, if the listed companies tend to make advanced production and environment protection activities come into a benevolent cycle, by means of technology upgrading and transformation.

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Yao, Xin Sheng, Ji Lai Ying, and Li Xin Cao. "Study on the Integration of Regional Logistics Resources Based on SOA." Advanced Materials Research 482-484 (February 2012): 2153–56. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.2153.

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China logistics industry is in a very high degree of marketization, which enterprises are uneven in scale and level, presenting with the scattered, weak, disordered and other typical features. Additionally, for lack of information platform and prefect industry management, the whole industry service quality is low; the logistics collaboration between the supply and demand becomes more difficult. Based on the SOA mode, this paper studies the regional logistics integration structure, regional logistics resource optimization. Combined with case study, the logistics business process based on SOA integration will promote a new way for the development of regional logistics industry.

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Kazakov, Yu M., N. Yu Bashkirtseva, M. V. Zhuravleva, G. O. Ezhkova, A. S. Sirotkin, and A. O. Ebel. "Engineering Education Based on Integration with Science and Industry." Vysshee Obrazovanie v Rossii = Higher Education in Russia 29, no. 12 (December 31, 2020): 105–18. http://dx.doi.org/10.31992/0869-3617-2020-29-12-105-118.

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The development of globalization processes requires the provision of scientific and technological leadership of economies. In solving this goal, universities are called upon to play a special role, which can ensure the competitiveness of engineering education. Among the main indicators of academic leadership are ensuring the world level of training content, increasing academic mobility, growing demand and efficiency of master's and postgraduate studies, increase in the number of online educational programs, increase in the number of competitive courses and programs taught online, development of a targeted training system. The key condition for increasing the competitiveness of engineering education is the strengthening of its integration with science and the industrial sector. This is due to the possibility of solving a set of tasks for the development of content, organization and management of the educational process. The effectiveness of their solution is determined by the composition of partners involved in joint activities. The analysis shows that there are trends in the expansion of partnerships and the intensification of international cooperation. This facilitates the development of various formats of interaction to improve the training of engineers. Among the most developing integrated forms of training are networked educational programs. A distinctive feature of their implementation is the growth in the number of participants in network partnerships, among them are universities (as a rule more than one), industry institutes, enterprises (more than one). The network format is being implemented and remains promising in the organization of student practices. The basic departments created at enterprises are the main instrument of targeted training. With the development of the system of professional standards, the role of integration of universities with enterprises in organizing and conducting procedures for assessing the qualifications of personnel has increased. The need to solve the problem of increasing the global competitiveness of education reinforces the requirement to develop the integration of universities with academic science in the form of scientific and educational centers, with foreign universities, enterprises and high-tech businesses.

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Kazakov, Yu M., N. Yu Bashkirtseva, M. V. Zhuravleva, G. O. Ezhkova, A. S. Sirotkin, and A. O. Ebel. "Engineering Education Based on Integration with Science and Industry." Vysshee Obrazovanie v Rossii = Higher Education in Russia 29, no. 12 (December 31, 2020): 105–18. http://dx.doi.org/10.31992/0869-3617-2020-29-12-105-118.

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The development of globalization processes requires the provision of scientific and technological leadership of economies. In solving this goal, universities are called upon to play a special role, which can ensure the competitiveness of engineering education. Among the main indicators of academic leadership are ensuring the world level of training content, increasing academic mobility, growing demand and efficiency of master's and postgraduate studies, increase in the number of online educational programs, increase in the number of competitive courses and programs taught online, development of a targeted training system. The key condition for increasing the competitiveness of engineering education is the strengthening of its integration with science and the industrial sector. This is due to the possibility of solving a set of tasks for the development of content, organization and management of the educational process. The effectiveness of their solution is determined by the composition of partners involved in joint activities. The analysis shows that there are trends in the expansion of partnerships and the intensification of international cooperation. This facilitates the development of various formats of interaction to improve the training of engineers. Among the most developing integrated forms of training are networked educational programs. A distinctive feature of their implementation is the growth in the number of participants in network partnerships, among them are universities (as a rule more than one), industry institutes, enterprises (more than one). The network format is being implemented and remains promising in the organization of student practices. The basic departments created at enterprises are the main instrument of targeted training. With the development of the system of professional standards, the role of integration of universities with enterprises in organizing and conducting procedures for assessing the qualifications of personnel has increased. The need to solve the problem of increasing the global competitiveness of education reinforces the requirement to develop the integration of universities with academic science in the form of scientific and educational centers, with foreign universities, enterprises and high-tech businesses.

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Li, Han, and Lin Wu. "Define China's Wind Power Industry Life Cycle Based on the Compartz Curve Model." Applied Mechanics and Materials 672-674 (October 2014): 213–16. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.213.

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Compartz curve model is used to define China's wind power industry according to the statistics of the decade's new wind power capacity worldwide and China’ new wind power capacity. Studies shown that China’ new wind power industry is in the growth stage of the industry life cycle. With the industry's characteristics of this phase, given the policies of soft environment improvement, leading enterprises development, market mechanisms introduction, technology innovation system building,industry service system improvement and intellectual property protection system establishment to our goverment.

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Kesisoglou, Filippos, John Chung, Judith van Asperen, and Tycho Heimbach. "Physiologically Based Absorption Modeling to Impact Biopharmaceutics and Formulation Strategies in Drug Development—Industry Case Studies." Journal of Pharmaceutical Sciences 105, no. 9 (September 2016): 2723–34. http://dx.doi.org/10.1016/j.xphs.2015.11.034.

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Kim, MinSoo, WonJae Seo, and SeungJin Han. "Suggestions for Promoting the Regional Sport Tourism Industry based on a SWOT Analysis and Case Studies." Journal of Korean Society of Sport Policy 16, no. 4 (November 30, 2018): 149–64. http://dx.doi.org/10.52427/kssp.16.4.10.

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Li, Dian Can. "Optimization Models of Mechanical Facility Layout Based on Genetic Algorithm." Advanced Materials Research 548 (July 2012): 677–81. http://dx.doi.org/10.4028/www.scientific.net/amr.548.677.

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With the changes in the way of the manufacturing, more and more enterprises managers and engineers and technicians begin to attach importance to the facility layout issues. The facility layout includes new production system design and the existing production system optimization. Therefore, there are broad application prospects in studying on the issues of facility design and optimization of manufacturing industry. This essay, based on the survey and analysis and summary of layout issues of facilities of manufacturing industry, and based on systematical layout design methods, conducts designs of facilities in manufacturing industry and studies the applications of the genetic algorithm in the facility layout and optimization in manufacturing industry.

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Susanto, Arif, Dony O. Setyawan, Firman Setiabudi, Yenni M. Savira, Aprilia Listiarini, Edi K. Putro, Aditya F. Muhamad, et al. "GIS-based mapping of noise from mechanized minerals ore processing industry." Noise Mapping 8, no. 1 (January 1, 2021): 1–15. http://dx.doi.org/10.1515/noise-2021-0001.

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Abstract Monitoring workers’ exposure to occupational noise is essential, especially in industrial areas, to protect their health. Therefore, it is necessary to collect information on noise emitted by machines in industries. This research aims to map the noise from mechanized mineral ore industry using the kriging interpolation method, and ArcGIS 10.5.1 to spatially process and analyze data. The experimental calculation result of the semivariogram showed a 0.83 range value, with an essential parameter of 1.75 sill and a spherical total theoretical model. The result shows that the main machines with the highest power consumption and the Leq value are located in the southwest position of the sampled areas with a noise map-projected to assess the workers’ noise exposure level. In conclusion, the study found that the highest noise level was generated ranged from 88 to 97 dBA and contributed to the whole sound pressure level at certain positions.

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Bero, Lisa A., and Drummond Rennie. "Influences on the Quality of Published Drug Studies." International Journal of Technology Assessment in Health Care 12, no. 2 (1996): 209–37. http://dx.doi.org/10.1017/s0266462300009582.

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AbstractTo practice evidence-based medicine, physicians need data on the clinical effectiveness, toxicity, convenience, and cost of new drugs compared with available alternatives. We give examples of published drug studies that are defective, sometimes because pharmaceutical industry funding has affected their content and quality. We make recommendations on how to avoid these defects.

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Daud, Zawawi, Mohd Zainuri Mohd Hatta, Mohd Baharufin Ridzuan, Halizah Awang, and Sharmiza Adnan. "Studies on Physical and Mechanical Properties by Soda-AQ Pulping of Napier Grass." Defect and Diffusion Forum 382 (January 2018): 318–21. http://dx.doi.org/10.4028/www.scientific.net/ddf.382.318.

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Pulp and paper production from wood material as their main resources have a total capacity about more than one million tons per year. Malaysia has a high scale of deforestation based on the main resource for pulp and paper-based industry. Malaysia as its rate is accelerating faster than any other tropical countries in the world. This problem also affects the economic losses of some countries that face deforestation. To overcome this, Napier grass as a substitute material from non-wood material had been choose for pulp and papermaking industry. This study through the full fibre analysis and morphological characterization, pulpability at kappa number via soda-AQ pulping and the characteristic. These conclude that Napier grass had a high percentage of pulp yields; with a low screening rejects; good mechanical properties by TAPPI method. Thus, Napier grass has a potential to be substitute material for becoming waste-wealth product especially for Malaysia’s pulp and papermaking industry.

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Murray, Edward P. "Cluster-Based Development Strategies: Lessons from the Plastics Industry in North Central Massachusetts." Economic Development Quarterly 13, no. 3 (August 1999): 266–80. http://dx.doi.org/10.1177/089124249901300306.

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Chung, Peichi. "The Creative Industry of Singapore: Cultural Policy in the Age of Globalisation." Media International Australia 128, no. 1 (August 2008): 31–45. http://dx.doi.org/10.1177/1329878x0812800105.

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This article examines the development of the creative industry in Singapore in the context of globalisation. In studying the application of a government-based development model that prioritises economic goals in fostering a culture-based creative industry, the article explores the effects on the complex social network when the state is involved in introducing Western globalisation into the local society of Singapore. It discusses the major government initiatives to develop the creative industry and the views of local new media artists towards this policy. The article concludes with the resilience of local culture, arguing that the public response and the ‘bottom-up’ artist movement are beginning to embrace new media art forms as part of the national culture in Singapore. New media technology has been a site of cultural practice that allows media artists to participate in the state's development of a homegrown new media industry.

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Sandstrom, Dr John. "Bloomsbury Medieval Studies." Charleston Advisor 22, no. 1 (July 1, 2020): 10–13. http://dx.doi.org/10.5260/chara.22.1.10.

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Bloomsbury Medieval Studies (BMS) is a good interdisciplinary resource that provides access to all of Bloomsbury Publishing’s offerings on Medieval Studies in one place. One strength of this product is the global view of the medieval period it takes, as opposed to the Eurocentric view of most of the other products currently on the market. The pricing is based on tiers and quite reasonable. The license terms and conditions are mainly in line with industry standards, although there are a few you will want to look at for possible negotiation. The user interface is clear and easy to use. This is a new product that currently has an update schedule of every six months. This makes the perpetual access model of dubious value, but an annual subscription could easily be worth the cost.

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Raj, Razaq, Valentin Beck, and Alaa Soliman. "Utilization of Value-based Management in the Strategic Management of German Automotive Industry." Global Business Review 20, no. 4 (July 17, 2019): 871–86. http://dx.doi.org/10.1177/0972150919845236.

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The purpose of this research article is to analyse the value-based management commitment of automotive enterprises and to examine the factors that explain the control parameters in automotive industry. There have been a few empirical studies published in the German’s automotive sector, but most of the existing studies failed to provide evidence of utilization of value-based management in the strategic management in the automotive sector. The German automotive industry’s development is closely related to global economic developments. Previous research work has considered control parameters of enterprises, but there is little evidence on the factors that explain which control parameters are used in automotive industry. A survey based on annual reports from 2008 to 2011 is used. In total, 20 annual reports of automotive companies were analysed. The results show that automotive companies, especially original equipment manufacturers and listed suppliers, have committed to value-oriented management and have implemented value-oriented approaches. However, not all of the suppliers are communicating this in their reports. The results also show that economic value added is the leading key indicator in the automotive industry.

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Cai, Shao Hong, and Ren Fa Li. "The Analysis of Industry Organization Model Based on the Economic and Ecological Benefits." Advanced Materials Research 204-210 (February 2011): 1203–6. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1203.

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This paper studies the production effectiveness of industrial cluster production and recycling production from the dual perspective of the economic and ecological benefits, and put forward a new model of recycling industry cluster which can get the best economic and ecological benefits. It has a great significance on harmonious development of resources, environment and economy.

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Matolcsi, Andrea, Natasha Mulvihill, Sarah-Jane Lilley-Walker, Alba Lanau, and Marianne Hester. "The Current Landscape of Prostitution and Sex Work in England and Wales." Sexuality & Culture 25, no. 1 (May 30, 2020): 39–57. http://dx.doi.org/10.1007/s12119-020-09756-y.

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AbstractThis paper presents a comprehensive typology of the sex industry based on primary data collected between 2018 and 2019 for a UK Home Office-funded study. Typologies of the contemporary sex industry in England and Wales have tended to be limited to particular sectors or have been developed from a specific disciplinary perspective or theme (e.g. sexual health programming, income). Situated in the context of international sex industry typologies, this paper seeks to address this gap. Data was derived from an online survey, questionnaires and consultations with stakeholders including individuals currently or formerly involved in selling sex, service providers/NGOs, police, local authority representatives and others. The data was supplemented with insights from a systematic literature search. This work aims to assist with programme and policy planning in the UK context. Our methods can assist in developing typologies in other contexts.

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Shi, Xiao Chun, and Deng Ying Jiang. "Analysis of Development of Real Estate Industry Based on FA and CA." Applied Mechanics and Materials 397-400 (September 2013): 2731–34. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2731.

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With the development of market economy, the real estate industry has become a driving force of the pillar industry of China's economic growth. The residential housing casing is used to construct the index system of real estate development. And on the combination of factor analysis and cluster analysis, this paper studies the real estate development status of China with the SPSS. By extracting three main factors that affect the development of residential housing industry, and with the factor score, the real estate development status of the 31 provinces and cities nationwide are classified and sorted. Last the causes and results of the classification are analyzed, and some targeted countermeasures are proposed.

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Guo, ZX, WK Wong, SYS Leung, and Min Li. "Applications of artificial intelligence in the apparel industry: a review." Textile Research Journal 81, no. 18 (June 20, 2011): 1871–92. http://dx.doi.org/10.1177/0040517511411968.

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This paper presents a systematic review on the state-of-art of artificial intelligence (AI) applications in the apparel industry. The existing literature is reviewed based on different research issues and AI-based methodologies. The research issues are categorized into four categories on the basis of the operation processes of the apparel industry, including apparel design, manufacturing, retailing, and supply chain management. This paper shows that research on AI applications in the apparel industry is still limited by analyzing the limitations of previous studies and research challenges. Finally, suggestions for further studies are offered.

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Wang, Yile, and Dashuai Zeng. "Development of sports industry under the influence of COVID-19 epidemic situation based on big data." Journal of Intelligent & Fuzzy Systems 39, no. 6 (December 4, 2020): 8867–75. http://dx.doi.org/10.3233/jifs-189284.

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Based on big data, this paper studies the influence of new type of filling pneumonia on the development of sports industry. When selecting the typical economic indicators that reflect the development trend of sports industry, it is found that the data is huge according to the big industrial data, but the information that can be reflected is poor and complex. Therefore, it is necessary to process these big economic data in order to obtain the impact of new coronary pneumonia on the development of sports industry. This paper studies the feature selection algorithm of big data samples, so as to select typical economic indicators from many economic indicators of sports industry to reflect the development trend of sports industry. A deep learning algorithm based on feature selection of big data is proposed. Firstly, a feature selection framework for big data is constructed, and then data fusion and deep learning are carried out. Experiments show that the algorithm can solve the contradiction between large data and poor information. This method has a certain forward-looking, and has a certain reference value for the information discrimination of the development trend of sports industry.

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Journal articles on the topic 'Industry-based studies'

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