Academic literature on the topic 'Standard Industrial Classification Code (SIC)'

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Journal articles on the topic "Standard Industrial Classification Code (SIC)"

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Jacobs, Gabriel, and Cliona O’Neill. "On the reliability (or otherwise) of SIC codes." European Business Review 15, no. 3 (2003): 164–69. http://dx.doi.org/10.1108/09555340310474668.

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Researchers often make use of SIC (Standard Industrial Classification) codes when gathering and analysing data about the activities of companies. The use of these codes is, however, fraught with potential difficulties, errors easily creeping in and consequently distorting results. This paper outlines the major SIC code systems in use on both sides of the Atlantic – which, despite efforts to standardise them (and thus to make them worthy of their name), still present levels of inconsistency and unreliability both internally and comparatively – and discusses various problems associated with using the codes as data sources.
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Hoberg, Gerard, and Gordon M. Phillips. "Text-Based Industry Momentum." Journal of Financial and Quantitative Analysis 53, no. 6 (2018): 2355–88. http://dx.doi.org/10.1017/s0022109018000479.

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We test the hypothesis that low-visibility shocks to text-based network industry peers can explain industry momentum. We consider industry peer firms identified through 10-K product text and focus on economic peer links that do not share common Standard Industrial Classification (SIC) codes. Shocks to less visible peers generate economically large momentum profits and are stronger than own-firm momentum variables. More visible traditional SIC-based peers generate only small, short-lived momentum profits. Our findings are consistent with momentum profits arising partially from inattention to economic links of less visible industry peers.
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Cheit, Ross E., and Jacob E. Gersen. "When Businesses Sue Each Other: An Empirical Study of State Court Litigation." Law & Social Inquiry 25, no. 03 (2000): 789–816. http://dx.doi.org/10.1111/j.1747-4469.2000.tb00161.x.

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Using a mixture of court docket data and case files, we construct a data set of business litigation in Rhode Island Superior Court during 1987 and 1988. Business litigation is defined as a suit involving an economic firm as both a plaintiff and a defendant. The empirical analysis complements recent scholarship providing answers to descriptive questions about the frequency, nature of, parties to, and intensity of the business litigation docket. Using Standard Industrial Classification (SIC) codes, indicators of industry participation in litigation are developed, and positive analysis undertaken to explain variation across industries. Several hypothesis are developed and tested using quantitative analysis. We conclude that contextual economic conditions favoring the creation of long-term business relationships help prevent litigation between firms.
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Lee, Won Seok, Insin Kim, and Joonho Moon. "Determinants of restaurant internationalization: an upper echelons theory perspective." International Journal of Contemporary Hospitality Management 28, no. 12 (2016): 2864–87. http://dx.doi.org/10.1108/ijchm-02-2015-0048.

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Purpose The purpose of this research is to account for the internationalization of restaurants. The conceptual framework of upper echelons theory is applied to identify the demographic determinants of internationalization among chief executive officers (CEOs). Design/methodology/approach Data from 30 restaurant firms for the period 1999-2013 were collected from a variety of sources, primarily Compustat and Execucomp, based on Standard Industrial Classification (SIC) code 5812, the annual 10-K and public information. A panel feasible generalized least squares model was used as the main instrument of analysis. Findings The findings indicate that the CEO gender and share ownership negatively affect the internationalization of restaurant companies, whereas size, the extent of franchising, the type of restaurant and stock options positively affect the degree of internationalization. Additionally, an inverted U-shaped relation exists between CEO tenure and the degree of internationalization. Practical implications The presented information may provide shareholders and boards of directors with valuable guidelines regarding the assignment of appropriate managers depending on the extent to which their companies are pursuing internationalization strategies. Originality/value Most studies in hospitality sectors have focused only on accounting-based measures to explain strategic decision-making, although proponents of upper echelons theory have argued that CEO attributes influence strategic decisions/changes. This study contributes to the literature on hospitality by identifying the effects of CEO characteristics on internationalization decisions.
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Smith, Paul A., and Gareth G. James. "Changing Industrial Classification to SIC (2007) at the UK Office for National Statistics." Journal of Official Statistics 33, no. 1 (2017): 223–47. http://dx.doi.org/10.1515/jos-2017-0012.

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Abstract As part of the changes to industrial classifications following the United Nations’ revision to the International Standard Industrial Classification, ISIC Rev. 4, the UK moved to its version of a new classification between 2007 and 2011. We describe the processes involved in changing an industrial classification, including model-based adjustment methods and changes to survey designs and operations. We discuss the quality of the approaches used for different time periods in the same series, and the ways in which consistent time series are produced for users of economic statistics. We provide some general evaluation of the changeover, and guidance on the best approaches to follow when updating classifications.
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Sannajust, Aurélie, Mohamed Arouri, and Alain Chevalier. "Drivers of LBO operating performance: an empirical investigation in Latin America." European Business Review 27, no. 2 (2015): 102–23. http://dx.doi.org/10.1108/ebr-04-2013-0076.

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Purpose – The purpose of this paper is to extend the research on private equity by studying the drivers of leveraged buyout (LBO) operating performance in Latin America. The authors consider a large set of candidate drivers (financial, governance, macroeconomic and industry variables) and study their effects on performance over short- and long-terms. Design/methodology/approach – To conduct this study, the authors used Capital IQ as a database as well as a hand-collected data set covering LBO in Latin America from 2000 to 2008. Findings – The empirical results show that macroeconomic variables have an important impact on LBO value creation. Governance variables show also that LBO transactions reduce information asymmetries between existing and new management teams. Consequently, a concentrated shareholder structure has a better impact on performance than diluted stockholders. Financial variables present significant effects after the delisting. Research limitations/implications – The characteristics of the debts included in the balance sheets (maturity for example) are not available in the authors' data basis. A test including this information could bring other elements of explanation. The measure of cumulative abnormal returns around going-private announcements and their impacts on shareholder’s value could also be of interest. This last study has been published for the UK (Wright et al., 2006). Further research should introduce other continents and particularly Asia in the analysis but also comparisons between the Brazil–Russia–India–China–South Africa (BRICS) countries. Originality/value – This study makes five main contributions. First, the authors construct an LBO sample with emerging markets and specially Latin America. It is the first time that an academic article has been realized. Data are very difficult to obtain to do empirical tests. Latin America is a part of emerging markets, which is an interesting study subject due to their attractiveness in terms of growth of private equity funds. Second, to understand clearly how LBOs create value, the authors construct a sample control to highlight the key factors. Criteria of size, sector of activity and Standard Industrial Classification (SIC) codes were strictly enforced. Third, the authors do not focus on the moment where the transaction is realized like many studies but before and after the delisting. Indeed, they observed, on the one hand, the operating performance between year −1 and year +1 and, on the other hand, the operating performance between year −1 and year +3. Generally, only the market reaction around the acquisition announcement is examined. Post-performance is not considered due to lack of data. Fourth, the authors take into account the macroeconomic effects on performance of LBOs. It is the first examination of the impact of macroeconomic factors on performance of LBOs in Latin America. And fifth, they analyze the impact of going-private decisions on employees.
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Calabrese, Armando, Nathan Levialdi Ghiron, and Luigi Tiburzi. "Investigating the relationships between service capabilities and financial statements indicators." International Journal of Engineering Business Management 13 (January 1, 2021): 184797902110195. http://dx.doi.org/10.1177/18479790211019522.

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This study analyses the relationships between service capabilities and financial statements indicators of 76 U.K. service providers belonging to the Standard Industry Classification (SIC) 49410 (‘Freight transport by road’). These firms were clustered in four different groups according to their service capabilities by employing content analysis on open secondary data. Then, statistical tests were employed to analyse whether groups with different service capabilities differ in key financial statements indicators. As the results show, economic-financial indicators (e.g., turnover) do not vary significantly between the groups, whereas differences arise in the number of employees and other asset-related indicators. It follows from these results that within the same SIC code, the various assortments of service capabilities do not have repercussions on the firms’ profitability; on the other hand, these assortments are correlated with firms’ size and infrastructure (e.g., magnitude of the Stock & W.I.P.). This research develops a heuristic approach using open secondary data to identify and classify service capabilities, and to investigate their relationship with financial statements indicators. This approach can be replicated in other business sectors thus supporting managers in identifying their firm’s capabilities and those of their competitors.
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Nonejad, Masoud. "Effects of comparative advantage on exports: A case study of Iranian industrial subsectors." Journal of Economics and Behavioral Studies 5, no. 5 (2013): 252–59. http://dx.doi.org/10.22610/jebs.v5i5.401.

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One of the informational requirements in planning import and export activities is to an awareness of a country’s comparative advantage in the production of goods and services. The present paper attempts to assess Iran’s Revealed Comparative Advantage (RCA) in industrial subsectors based on two-digit code of the International Standard Industrial Classification (ISIC) and effects of five top subsectors with the highest average of RCA on the total Iranian real industrial exports. RCAs for Iranian industrial subsectors (during 2001-2010) were calculated for 2001-2010 time period and seasonal data (2001- 2010) were collected to estimate the RCA Model. Auto Regressive Distributed Lags (ARDL) Method was employed to investigate the effects of these subsectors on the total Iranian real industrial exports. The econometric results show that the subsectors with highest RCA average have a positive and significant effect on the total Iranian real industrial exports.
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Simonton, Kevin J. "Washington State Summary of Work-Related Musculoskeletal Disorders by Industry." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 1 (1997): 614–18. http://dx.doi.org/10.1177/1071181397041001135.

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An analysis of work-related musculoskeletal disorders (MSDs) in Washington State using workers' compensation claims and Bureau of Labor Statistics (BLS) data was conducted in order to identify high risk industries. All claims and BLS cases from 1992–1994 were searched using a specific MSD selection criteria and grouped by risk classification and standard industrial classification (SIC). Twenty-seven percent of all State Fund claims were classified as MSDs. The mean annual cost of MSDs was $166.8 million. Incidence rate claims data showed clerical offices ranked 286 out of 303 risk classes with a rate of 0.64 per 100 workers per year, over five times below the state mean incidence rate of 3.7. The only industry to appear in the top 10 by highest MSD count, incidence rate (including BLS data), and cost was nursing homes. Detailed MSD data by industry can be used by researchers to hypothesis test dose-response relationships and by practitioners to focus intervention efforts where they're most needed.
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Boucher, Michel. "La théorie de Heckscher-Ohlin et la localisation des industries manufacturières canadiennes : présentation de quelques résultats empiriques." Articles 56, no. 1 (2009): 80–96. http://dx.doi.org/10.7202/600890ar.

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Abstract This paper applies the Heckscher-Ohlin hypothesis to the location of regional manufacturing industries in Canada. The empirical results demonstrate with strong evidence the first hypothesis that Quebec and Ontario enjoy different locational characteristics because of their relative factor endowments. More precisely, firms operating in Quebec adopt labor-intensive production process relatively to those located in Ontario which choose a capital-intensive production technique. The statistical results of the second hypothesis confirm sufficiently that both provinces increased their specialization in industries when they have a relative increasing comparative advantage respectively labor-intensive industries for Quebec and capital-intensive industries for Ontario. Finally, those hypotheses are confirmed not only for the twenty two-digit manufacturing industries of the Standard Industrial Classification (SIC), but also for thirty-one three-digit manufacturing industries.
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Books on the topic "Standard Industrial Classification Code (SIC)"

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Lea, Richard S. Job title index to SIC (Standard industrial classification) codes. McFarland, 1988.

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2

Smith, Bradford. The use of Standard Industrial Classification (SIC) Codes to classify the activities of nonprofit, tax-exempt organizations. Institute for Nonprofit Organization Management, 1992.

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3

Standard industrial classification manual: SIC 2+2. Dun & Bradstreet Information Resources, 1989.

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Great Britain. Central Statistical Office. and Great Britain. Government Statistical Service., eds. Standard industrial classification of economic activities: Correlation between SIC(92) and SIC(80). HMSO, 1993.

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UK Standard Industrial Classification of Economic Activities 1992: UK SIC(92). The Stationery Office Books (Agencies), 1997.

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UK Standard Industrial Classification of Economic Activities 1992: UK SIC(92). The Stationery Office Books (Agencies), 1997.

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United States. Small Business Administration. Associate Administrator for Finance and Investment, ed. Loan experience reference book, 1974-1984: By standard industrial classification code and franchise code. U.S. Small Business Administration, Associate Administrator for Finance and Investment, 1986.

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Indexes to the UK standard industrial classification of economic activities: UK SIC (2003). H.M.S.O., 2002.

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Great Britain. Office for National Statistics., ed. Indexes to the UK standard industrial classification of economic activities 1992: UK SIC(92). Stationery Office, 1997.

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Great Britain. Office for National Statistics. Classifications Unit., ed. UK SIC 1992 methodological guide: The United Kingdom Standard Industrial Classification of Economic Activities 1992. Stationery Office, 1996.

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Book chapters on the topic "Standard Industrial Classification Code (SIC)"

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MacDonald, Brian. "Implementing a Standard Industrial Classification (SIC) System Revision." In Business Survey Methods. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118150504.ch7.

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"High environmental risk activities: full Standard Industrial Classification (SIC) code listings." In Environmental Risk Management and Corporate Lending. Elsevier, 1999. http://dx.doi.org/10.1016/b978-1-85573-436-4.50013-9.

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Wei, James. "Product Marketing." In Product Engineering. Oxford University Press, 2007. http://dx.doi.org/10.1093/oso/9780195159172.003.0015.

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A marketer should follow the maxim of the 4th century BC strategist Sun-zi, who said “Know self, know opponents, hundred battles, hundred victories.” We are the chemical processing industries (CPI), which is a collection of firms that manufacture and sell a range of products that involve chemistry and employ many chemical engineers. The buyers are consumers, businesses, governments, and foreigners. When we consider selling a product to a buyer, we pay particular attention to profitable and growing markets where our product has a relative advantage over competition. It takes a bold pioneer to introduce a new product that requires the creation of a new market. Let us study the sellers of chemical products, which are collectively called the CPI. These manufacturers are skilled in the use of chemical reactions and separations to make their products, and they employ many chemical engineers and chemists, often in highly responsible positions. Many of the firms in the CPI are also our suppliers of raw materials and intermediates, our customers for our products, and our competition in making and selling their products. The Statistical Abstract of the United States is published annually by the U.S. Census Bureau, which groups all the economic activities in the United States into 11 divisions by the Standard Industrial Classification (SIC). The manufacturing division is divided into 20 sections designated by two-digit numbers. The manufacturers that involve chemistry intensively are listed in table 9.1, by two 2-digit numbers, such as: 20 Food, 28 Chemicals, and 29 Petroleum Refining. The table lists the number of establishments, the number of employees and value of shipment in 1996. The SIC 28, “Chemical and Allied Products,” is the basic supplying industry to the other sectors. Table 9.1 also gives the subdivision of SIC 28 into three-digit subsectors, such as: 281 Industrial Inorganics, 283 Drugs, and 286 Industrial Organics. The subsectors of 281 and 286 form the core of the Chemical and Allied Products, as they provide raw material and intermediates for the rest of the subsectors, such as 282 Plastics and 287 Agricultural chemicals.
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Conference papers on the topic "Standard Industrial Classification Code (SIC)"

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Abbas, Ahmad I., Mandana S. Saravani, Muhannad R. Al-Haddad, Ryoichi S. Amano, and Mohammad Darwish Qandil. "A Comparative Study of Industrial Energy Assessments for Small and Medium-Sized Industrial Facilities." In ASME 2018 12th International Conference on Energy Sustainability collocated with the ASME 2018 Power Conference and the ASME 2018 Nuclear Forum. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/es2018-7550.

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The Industrial Assessment Center at University of Wisconsin-Milwaukee (WM-IAC) has implemented over 100 industrial energy, waste, and productivity assessments, and has recommended $9.5 million of energy and operational savings with about 950 recommendations since it was re-established in 2011. This paper analyzes the assessments, and the recommendations were performed over two years only, 2014 and 2015. During these two years, a total of 40 assessments were created by visiting different manufacturing facilities with the analysis of the data gathered and processed. The determinants of the data were the number of recommendations, recommended energy savings (in kWh/year), recommended energy cost savings (in US$/year), implemented energy savings (in US$/year), the Standard Industrial Code (SIC) and the groups of Energy Efficiency Opportunities (EEOs). Such an analytical study was meant to reveal the significance of EEO groups through a variety of SICs in terms of the potential for energy savings, particularly focused towards choosing plant facilities for IAC assessments. Additionally, this paper could be considered as a guide for plant managers, energy engineers and other personnel involved in the energy assessment process. Conclusions are inferred with respect to the most promising EEOs that can be resolved based on the characteristics of the manufacturing plants visited. The information investigated can pave the way for composing energy demanding industries and expose priority goal areas regarding minimizing the energy consumption.
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