Relevant bibliographies by topics / Export marketing Data processing

Academic literature on the topic 'Export marketing Data processing'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Export marketing Data processing"

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Muis, Indra. "Marketing Strategy and Capability as the Mediators in Relationship of Market Orientation and Export Performance: A Case Study of Rattan Processing SMEs." Binus Business Review 11, no. 1 (March 31, 2020): 31–42. http://dx.doi.org/10.21512/bbr.v11i1.5964.

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The research examined the performance of export marketing performance through the implementation of market orientation intervened by export marketing strategy and export marketing capability. Primary data were collected through questionnaires from 108 samples out of 148 rattan processing Small and Medium Enterprises (SMEs) in nine provinces in Indonesia. The respondents were marketing managers or owners of SMEs with at least two years of experience. Structural Equation Modeling (SEM), which was processed by using Lisrel 8.7, was employed. The results indicate that market orientation, export marketing strategy, and export marketing capability are well implemented in the business operation of SMEs. However, the export marketing performance needs to be improved. Concerning the variables studied, market orientation has a significant effect on export marketing strategy, export marketing capability, and export marketing performance. Then, export marketing strategy affects export marketing performance significantly. Moreover, export marketing capability also has a significant effect on export marketing performance. Finally, export marketing strategy and capability intervene in the relationship between market orientation and export performance.
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Hoq, MS, SK Raha, and N. Sultana. "Value addition in vegetables production, processing and export from Bangladesh." Bangladesh Journal of Agricultural Research 37, no. 3 (October 7, 2012): 377–88. http://dx.doi.org/10.3329/bjar.v37i3.12081.

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Bangladesh has immense prospect for exporting vegetables to the world market and it has also produced high quality exportable fresh vegetable. Although the share of export earning in vegetables increasing day by day but export is constrained by several issues. Thus the present study was undertaken to determine the value addition, cost and return of vegetables production and export at different levels and also suggest some policy implication for improving the present system. The study was based on both primary and secondary data. The sample included vegetables producer, suppliers, and exporters. Vegetable producers and suppliers were selected from Ulokhola of Kaligonj Upazila and exporters were selected from Dhaka city (Motijheel, Kakrail, Shantinagar, Khilgaon, and Sham Bazar).Appling conventional profitability analysis the study revealed that per hectare production cost for cowpea, snake gourd, and bitter gourd were estimated at Tk. 73838, Tk.72,029 and Tk.1,04,644 respectively and value addition for cowpea, snakegroud, and bitter gourd were calculated at Tk.86,162, Tk.1,52,611 and Tk.2,37,356 respectively by farmers. The average estimated marketing costs incurred by suppliers were Tk.2906 per ton. The value addition by suppliers were Tk.3094 per ton. The average estimated marketing cost incurred by different exporters for UK, Saudi Arabia, Kuwait, and Qatar were Tk.1,69,442, Tk.98,429, Tk.1,03,499, and Tk.85,324 per ton, respectively. The value addition by different exporters for UK, Saudi Arabia, Kuwait, and Qatar were Tk.55,778, Tk.16,661, Tk.16,902, and Tk. 23,754 per ton respectively. Among all the cost items, airfreight charge was the highest. It was revealed from the study that bitter gourd cultivation is more profitable and BCR is also highest (3.27) and UK market was more profitable for vegetables export. Bangladesh J. Agril. Res. 37(3): 377-388, September 2012 DOI: http://dx.doi.org/10.3329/bjar.v37i3.12081
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Haque, Md Mojammel, Md Golam Rabbani, and Md Kamrul Hasan. "Efficiency of Marine Dry Fish Marketing in Bangladesh: A Supply Chain Analysis." Agriculturists 13, no. 1 (January 24, 2016): 53–66. http://dx.doi.org/10.3329/agric.v13i1.26548.

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The marine dried fishes have the demand both in domestic and international market. Bangladesh has a great potentiality to earn huge foreign exchange by exporting marine dry fishes. The present study was designed to analyze the supply chain and to examine marketing efficiency of marine dry fish in Bangladesh. Data were collected from 170 stakeholders and 9 export oriented firms/agencies using face to face semi-structured interviews considering 9 major species of marine fishes. A number of FGDs were conducted to supplement the information collected through survey method. The study areas were purposively selected. Three types of market such as primary market, secondary market and consumer market were considered for data gathering. High priced fish demanded high marketing cost resulting higher marketing margin and profit compared to low priced fish. Processing and transportation costs were also higher for high valued species compared to the low valued ones. Marketing margin and marketing profit were very high in export market compared to domestic market. However, shorter supply chains (channels) were more efficient than longer supply chains.The Agriculturists 2015; 13(1) 53-66
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John, Eze, Felix, Odigbo, Ben E., and Bassey, Agness Edem. "Small and Medium-Scale Agro-Produce Entrepreneurship and Promotion of Non-Oil Exports from Nigeria." International Business Research 11, no. 11 (October 23, 2018): 164. http://dx.doi.org/10.5539/ibr.v11n11p164.

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The study undertook a critical appraisal of marketing communications’ tools for the promotion of non-oil exports by small and medium-scale agro-produce entrepreneurs in Nigeria. It was motivated by the problem of low performance of the non-oil export sub-sector in the country. This is in spite of government’s incentives and the introduction of African Growth and Opportunity Act (AGOA) in May 2000 by the United States of America, which was to improve export of products particularly in agriculture from Sub-Saharan Africa to the United States. The focus of AGOA was to enhance the economic growth of countries in Sub-Saharan Africa through export leverages rooted in the reduction of tariffs and non-tariff barriers. The specific objectives of the study were to: determine the effect of internet-marketing communications media as tools for promoting small and medium-scale farming entrepreneurs’ non-oil exports from Nigeria; and ascertain the effect of social-media communications as tools for promoting small and medium-scale farming entrepreneurs’ non-oil exports from Nigeria. Survey research design was adopted in the study. The sample frame comprised small and medium-scale agro-produce farmers drawn from three States representing the three-former regional structure of the country. Data sourced were statistically analyzed. Results indicate that both internet marketing and social media communications were not yet significant for promoting non-oil exports by small and medium-scale farming entrepreneurs from Nigeria, because of other serious diluting variables like poor products’ quality, packaging, processing, storage and other systemic bottlenecks. It was then recommended that the Governments in sub-Saharan Africa, particularly Nigeria, should introduce and educate small and medium-scale agro-produce entrepreneurs wishing to go into non-oil exports, among other things, to improve their products’ qualities to meet international markets’ standards, before employing internet and social media marketing communications to create global awareness and demands for them.
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Sirait, Jaulim, Arpan Nasri Siregar, Tri Putri Mayangsari, and Yuliati H. Sipahutar. "PROSES PENGOLAHAN FILLET IKAN KERAPU (Epinephelus Sp) BEKU DI PT. BINTAN INTAN GEMILANG, BINTAN – KEPULAUAN RIAU." MARLIN 3, no. 1 (March 25, 2022): 251. http://dx.doi.org/10.15578/marlin.v3.i1.2022.249-257.

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Grouper fish is an important commodity in Indonesian waters which has bright marketing prospects, both domestic and export. Grouper fish is Indonesia's leading non-oil and gas export commodity, in addition to seaweed, shrimp and tuna. Indonesia is the world's largest export of grouper, especially live grouper exports. This study aims to see the processing of frozen grouper fillets. The method is carried out by observation and survey, by directly following the entire processing process, from receiving raw materials to transportation, by conducting quality testing (organoleptic and microbiological), cold chain observation, yield, labor productivity. Data analysis was done descriptively. The results showed that the processing was carried out properly according to SNI No. 2696: 2013 concerning frozen fish fillets. The results of the organoleptic quality test of raw materials and final products were 8, microbiological tests ranged from 3 × 103 cabbage / gr for the ALT test, <3.0 APM / gr for the E. coli test and negative results for the Salmonella test, according to SNI. The application of cold chain has done well with the raw material temperature of grouper 1.580C. The yields in the filling and tidying process averaged 49.9% and 64.6%, according to company standards. The labor productivity in the filling and tidying process was 97.79 and 107.89 kg / hour / person, according to company standards.
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Sirait, Jaulim, Arpan Nasri Siregar, Tri Putri Mayangsari, and Yuliati H. Sipahutar. "PROSES PENGOLAHAN FILLET IKAN KERAPU (Epinephelus Sp) BEKU DI PT. BINTAN INTAN GEMILANG, BINTAN – KEPULAUAN RIAU." MARLIN 3, no. 1 (March 25, 2022): 251. http://dx.doi.org/10.15578/marlin.v3.i1.2022.249-257.

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Grouper fish is an important commodity in Indonesian waters which has bright marketing prospects, both domestic and export. Grouper fish is Indonesia's leading non-oil and gas export commodity, in addition to seaweed, shrimp and tuna. Indonesia is the world's largest export of grouper, especially live grouper exports. This study aims to see the processing of frozen grouper fillets. The method is carried out by observation and survey, by directly following the entire processing process, from receiving raw materials to transportation, by conducting quality testing (organoleptic and microbiological), cold chain observation, yield, labor productivity. Data analysis was done descriptively. The results showed that the processing was carried out properly according to SNI No. 2696: 2013 concerning frozen fish fillets. The results of the organoleptic quality test of raw materials and final products were 8, microbiological tests ranged from 3 × 103 cabbage / gr for the ALT test, <3.0 APM / gr for the E. coli test and negative results for the Salmonella test, according to SNI. The application of cold chain has done well with the raw material temperature of grouper 1.580C. The yields in the filling and tidying process averaged 49.9% and 64.6%, according to company standards. The labor productivity in the filling and tidying process was 97.79 and 107.89 kg / hour / person, according to company standards.
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Islam, MS, MM Haque, MG Rabbani, and S. Sharmin. "Marketing of shrimp in Bangladesh-A value chain analysis." Journal of the Bangladesh Agricultural University 12, no. 2 (July 12, 2016): 359–68. http://dx.doi.org/10.3329/jbau.v12i2.28696.

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Shrimp is an important fisheries resource in the national economy of Bangladesh. It is considered as an exportable item and in each year it shared about 2.75% of the total export earning of Bangladesh. The present study was conducted to examine the marketing system and value chain, and marketing efficiency of shrimp marketed both in domestic and export market. For this study a total of 182 stakeholders (market intermediaries) were selected where shrimp farmers, export oriented farms, depot owners and other market participants and selling agents were included. Data were collected for the period of 2012-13. The study revealed that 80% shrimp is exported and rest 20% is consumed in the local market. Usually shrimp is exported through exporting agencies and firms. Considering all kinds of market, the average gross marketing margin and profit of shrimp in the local market were Tk 171.00/kg and Tk 134.04/kg respectively but for export market, the corresponding amounts were Tk 142.76/kg and Tk 89.51/kg respectively. Shrimp is sold both in domestic and overseas market and accordingly major supply chain and value chain were identified. Shrimp farmers and exporting agencies supply shrimp to ultimate consumers through supply chain. Actually value chain actors added value at each level of market. After processing and adding value, domestic and overseas consumers purchase 1 kg of shrimp at Tk 55.00 and Tk 142.76 respectively. Marketing efficiency was studied only for domestic market. It revealed that shorter supply channel resulted efficient marketing of shrimp where the shrimp producer received the higher percentages of sales price provided by the retailer in consumer market.J. Bangladesh Agril. Univ. 12(2): 359-368, December 2014
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Katunze, Miriam, and Annette Kuteesa. "Uganda’s Revealed Comparative Advantage in COMESA." Journal of Sustainable Development 9, no. 3 (May 30, 2016): 192. http://dx.doi.org/10.5539/jsd.v9n3p192.

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Most recently, Uganda increased its trade engagements with COMESA as demonstrated by its submission of accession instruments to COMESA Secretariat in order to access the Free Trade Area (FTA). It is envisaged that trade with COMESA can compensate for the low export demand elsewhere by enabling diversification of the export basket and facilitating value addition to traditional exports. It is also expected to enhance producer competitiveness and consumer welfare. Full exploitation of this requires information on where and in what commodities Uganda’s trade niche lies. This study assesses the country competiveness within COMESA based on the concept of Revealed Comparative advantage (RCA). The paper also evaluates the stability of Uganda’s RCA in COMESA from 1997-2014 using HS6-digit level export and re-exports data obtained from the World Integrated Trade System. Findings reveal that Uganda’s RCA is in all 16 industries at the product chapter level. It is stable in exports of animals, vegetables, food production, wood, textiles, &amp; cloth, stone &amp; glass and metals. Policies for further development of these sectors should aim at addressing sectoral challenges including the low productivity, marketing, and processing capacity in the animal sector, low capacity to test phytosanitary and sanitary certification in the vegetable sector. Additionally, tackling market and low production challenges for the textile sector and, high costs of production for the metals sector will further boost exports to the region.
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Septi Veronica and Sri Ayu Kurniati. "PENGEMBANGAN PEMASARAN KOPI BUBUK LIBERIKA MERANTI DI DESA KEDABU RAPAT KECAMATAN RANGSANG PESISIR KABUPATEN KEPULAUAN MERANTI (KASUS PADA CV. ZAROHA)." DINAMIKA PERTANIAN 38, no. 2 (January 18, 2023): 205–14. http://dx.doi.org/10.25299/dp.2022.vol38(2).11896.

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Meranti Islands Regency has the potential to develop Liberian coffee. It is important to develop marketing to increase profits. The purpose of this study is to analyze: (1) the business profile, (2) ground coffee processing techniques (3) internal and external environment affecting marketing, (4) marketing strategy, and (5) marketing strategy priority. The research method is a case study of Liberika Meranti Ground Coffee Processing Company CV Zaroha in Meranti Islands Regency, Rangsang Pesir District, Kedabu Meeting Village, from January to May 2021. The respondents consisted of 4 employees, including contractors. Research data comes from primary data and secondary data. The data was analysed using SWOT and QSPM methods. The results showed that CV. Zaroha was established in 2008 and is classified as a small-scale business with a capital of Rp. 63.813.00. The fraw materials used are an average of 20 tons/month with a price of Rp. 3,500/kg and the worker comes from outside the family. Liberika coffee processing techniques into ground coffee through various processes, starting from weighing, pulling, fermentation, drying, hulling, roasting, grading, and packing. Having a business license and trademark is one of the advantages, but the lack of online-based promotions and higher prices than other coffees are weaknesses for CV. Zaroha. The SWOT matrix showed that the business was in the SO (Strength and Opportunities) quadrant with a strategy of utilizing online media in increasing marketing, adding sales outlets with varied products, becoming a supplier for Coffee Shops as well as fulfilling and standardizing export requirements so that the market share become bigger.
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Kopp, Thomas, Bernhard Brümmer, Zulkifli Alamsyah, and Raja Sharah Fatricia. "Welfare implications of intertemporal marketing margin manipulation." British Food Journal 119, no. 8 (August 7, 2017): 1656–71. http://dx.doi.org/10.1108/bfj-11-2016-0572.

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Purpose In Indonesia, rubber is the most valuable export crop produced by small scale agriculture and plays a key role for inclusive economic development. This potential is likely to be not fully exploited. The observed concentration in the crumb rubber processing industry raises concerns about the distribution of export earnings along the value chain. Asymmetric price transmission (APT) is observed. The paper aims to discuss these issues. Design/methodology/approach This study investigates the price transmission between international prices and the factories’ purchasing prices on a daily basis. An auto-regressive asymmetric error correction model is estimated to find evidence for APT. In a subsequent step the rents that are redistributed from factories to farmers are calculated. The study then provides estimations of the size of this redistribution under different scenarios. Findings The results suggest that factories do indeed transmit prices asymmetrically, which has substantial welfare implications: around USD3 million are annually redistributed from farmers to factories. If the price transmission was only half as asymmetric as it is observed, the majority of this redistribution was re-diverted. Originality/value This study combines the approaches of non-parametric and parametric estimation techniques of estimating APT processes with a welfare perspective to quantify the distributional consequences of this intertemporal marketing margin manipulation. Especially the calculation of different scenarios of alternative price transmissions is a novelty. The data set of prices on such a disaggregated level and high frequency as required by this approach is also unique.
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Dissertations / Theses on the topic "Export marketing Data processing"

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Bilimoria, Cyrus M. "Use of computers and the Internet to facilitate export of prefabricated housing from Canada." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq64106.pdf.

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Ip, Lai Cheng. "Mining on social network community for marketing." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950661.

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Davidson, Kelly A. "THE IMPACT OF PERCEIVED BARRIERS TO EXPORT: AN ANALYSIS OF KENTUCKY AGRICULTURAL AND FOOD PROCESSING FIRMS." Lexington, Ky. : [University of Kentucky Libraries], 2009. http://hdl.handle.net/10225/1115.

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Thesis (M.S.)--University of Kentucky, 2009.
Title from document title page (viewed on May 3, 2010). Document formatted into pages; contains: vii, 80 p. : ill. (some col.). Includes abstract and vita. Includes bibliographical references (p. 76-79).
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Venkataraman, Suzanne Marie. "CAD graphics utilization in the design and marketing phases of textile/apparel product development." Thesis, Virginia Tech, 1992. http://hdl.handle.net/10919/41538.

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The purpose of this research was to identify the expertise of CAD graphics operators/managers in the design and marketing phases of textile/apparel product development. Additionally, the purposes were to determine the effect of CAD graphics on product development in the textile/apparel industry, and to identify future needs and uses of CAD graphics in the industry. A questionnaire was sent to 117 CAD graphics operators/managers. The results from the questionnaire were obtained through frequency and percentage distributions. The major findings of this study concluded that textile design and/or colorations and coloration of sketches were the major uses for CAD graphics systems. The shortening of response time of development of idea in design cycle was the major benefit of using a CAD graphics system. Future needs and wants were found to be mainly in the areas of better color control, matching and selection, better resolution in printing, and faster, larger printout capabilities.
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容勁 and King Stanley Yung. "Application of multi-agent technology to supply chain management." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31223886.

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李安敏 and On-man Andrew Lee. "Some thoughts on the applications of management science in sales and marketing activities on the professional products." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31267397.

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王達才 and Tat-choi Wong. "The strategic importance of information systems to airline revenue management." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31266873.

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Winn, David. "An analysis of neural networks and time series techniques for demand forecasting." Thesis, Rhodes University, 2007. http://hdl.handle.net/10962/d1004362.

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This research examines the plausibility of developing demand forecasting techniques which are consistently and accurately able to predict demand. Time Series Techniques and Artificial Neural Networks are both investigated. Deodorant sales in South Africa are specifically studied in this thesis. Marketing techniques which are used to influence consumer buyer behaviour are considered, and these factors are integrated into the forecasting models wherever possible. The results of this research suggest that Artificial Neural Networks can be developed which consistently outperform industry forecasting targets as well as Time Series forecasts, suggesting that producers could reduce costs by adopting this more effective method.
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Soutar, Garron. "Target marketing : the geographical information systems approach." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53611.

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Thesis (MA)--Stellenbosch University, 2003.
ENGLISH ABSTRACT: Geodemographics has been used extensively as a decision-support tool in both the business sector and the market survey environment in the United States, the United Kingdom and numerous other countries. This has however not been the case in South Africa, partly because of the expense involved in capturing current and complete customer information. As an alternative to capturing all the required customer information, geodemographics has frequently made use of government census data to supplement the organisation-specific data. However, even the census data has its shortcomings. This research has explored a method for building an organisation-specific database using a combination of government census data and organisation-specific data. The organisation-specific data was captured using a questionnaire that was targeted to a specific group of people. The information obtained from the questionnaire and which overlapped with specific census data variables was then used to update the relevant census variables. Cluster analysis was subsequently conducted on the census data in order to identify enumerator areas within the Western Province that had demographic and economic characteristics similar to those of the surveyed areas. Once the appropriate enumerator areas had been identified, the organisation-specific information from the survey was extrapolated to these new areas outside of the surveyed areas. The methodology used in this research provides a process that allows organisations to build a unique geodatabase by making use of the good qualities of both the census data and user-specific data. The resulting geodatabase is one that contains current and pertinent information while also providing complete spatial coverage.
AFRIKAANSE OPSOMMING: Geodemografie word op groot skaal gebruik as n hulpmiddel vir die ondersteuning van besluitneming in die sakesektor en die markopname-omgewing in die Verenigde State, die Verenigde Koninkryk en talle ander lande. Dit is egter nie in Suid-Afrika die geval nie, deels as gevolg van die onkoste verbonde aan vaslegging van die jongste en volledige kliente-inligting. As n altematief vir die vaslegging van al die vereiste kliente-inligting maak geodemografie dikwels gebruik van sensusdata om data eie aan n organisasie aan te vul. Selfs sensusdata het egter tekortkominge. Hierdie navorsing het n metode ondersoek vir die opbou van n databasis eie aan n organisasie deur gebruik te maak van n kombinasie van sensusdata en data eie aan n organisasie. Die data eie aan ri organisasie is vasgele deur gebruik te maak van ri vraelys vir n spesifieke teikengroep. Die inligting wat uit die vraelys verkry is en wat met die spesifieke sensusdataveranderlikes ooreengestem het, is toe gebruik om die relevante sensusveranderlikes by te werk. Skakelingsanalise is daama op die sensusdata uitgevoer ten einde opnemerareas in die Westelike Provinsie te identifiseer wat soortgelyke demografiese en ekonomiese kenmerke gehad het as die areas waarin die vraelysopname gemaak is. Nadat die geskikte opnemerareas gei'dentifiseer is, is die inligting eie aan die organisasie uit die opname geekstrapoleer na hierdie nuwe areas buite die areas waar die opname gemaak is. Die metodologie wat in hierdie navorsing gebruik is, verskaf n metodologie wat organisasies in staat stel om n unieke geodatabasis op te bou deur gebruik te maak van die goeie eienskappe van beide die sensusdata en die data eie aan die gebruiker. Die geodatabasis wat hieruit voortspruit, is een wat die jongste en verbandhoudende inligting bevat en volledige ruimtelike dekking bied.
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Pettersson, Christoffer. "Investigating the Correlation Between Marketing Emails and Receivers Using Unsupervised Machine Learning on Limited Data : A comprehensive study using state of the art methods for text clustering and natural language processing." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189147.

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The goal of this project is to investigate any correlation between marketing emails and their receivers using machine learning and only a limited amount of initial data. The data consists of roughly 1200 emails and 98.000 receivers of these. Initially, the emails are grouped together based on their content using text clustering. They contain no information regarding prior labeling or categorization which creates a need for an unsupervised learning approach using solely the raw text based content as data. The project investigates state-of-the-art concepts like bag-of-words for calculating term importance and the gap statistic for determining an optimal number of clusters. The data is vectorized using term frequency - inverse document frequency to determine the importance of terms relative to the document and to all documents combined. An inherit problem of this approach is high dimensionality which is reduced using latent semantic analysis in conjunction with singular value decomposition. Once the resulting clusters have been obtained, the most frequently occurring terms for each cluster are analyzed and compared. Due to the absence of initial labeling an alternative approach is required to evaluate the clusters validity. To do this, the receivers of all emails in each cluster who actively opened an email is collected and investigated. Each receiver have different attributes regarding their purpose of using the service and some personal information. Once gathered and analyzed, conclusions could be drawn that it is possible to find distinguishable connections between the resulting email clusters and their receivers but to a limited extent. The receivers from the same cluster did show similar attributes as each other which were distinguishable from the receivers of other clusters. Hence, the resulting email clusters and their receivers are specific enough to distinguish themselves from each other but too general to handle more detailed information. With more data, this could become a useful tool for determining which users of a service should receive a particular email to increase the conversion rate and thereby reach out to more relevant people based on previous trends.
Målet med detta projekt att undersöka eventuella samband mellan marknadsföringsemail och dess mottagare med hjälp av oövervakad maskininlärning på en brgränsad mängd data. Datan består av ca 1200 email meddelanden med 98.000 mottagare. Initialt så gruperas alla meddelanden baserat på innehåll via text klustering. Meddelandena innehåller ingen information angående tidigare gruppering eller kategorisering vilket skapar ett behov för ett oövervakat tillvägagångssätt för inlärning där enbart det råa textbaserade meddelandet används som indata. Projektet undersöker moderna tekniker så som bag-of-words för att avgöra termers relevans och the gap statistic för att finna ett optimalt antal kluster. Datan vektoriseras med hjälp av term frequency - inverse document frequency för att avgöra relevansen av termer relativt dokumentet samt alla dokument kombinerat. Ett fundamentalt problem som uppstår via detta tillvägagångssätt är hög dimensionalitet, vilket reduceras med latent semantic analysis tillsammans med singular value decomposition. Då alla kluster har erhållits så analyseras de mest förekommande termerna i vardera kluster och jämförs. Eftersom en initial kategorisering av meddelandena saknas så krävs ett alternativt tillvägagångssätt för evaluering av klustrens validitet. För att göra detta så hämtas och analyseras alla mottagare för vardera kluster som öppnat något av dess meddelanden. Mottagarna har olika attribut angående deras syfte med att använda produkten samt personlig information. När de har hämtats och undersökts kan slutsatser dras kring hurvida samband kan hittas. Det finns ett klart samband mellan vardera kluster och dess mottagare, men till viss utsträckning. Mottagarna från samma kluster visade likartade attribut som var urskiljbara gentemot mottagare från andra kluster. Därav kan det sägas att de resulterande klustren samt dess mottagare är specifika nog att urskilja sig från varandra men för generella för att kunna handera mer detaljerad information. Med mer data kan detta bli ett användbart verktyg för att bestämma mottagare av specifika emailutskick för att på sikt kunna öka öppningsfrekvensen och därmed nå ut till mer relevanta mottagare baserat på tidigare resultat.
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Books on the topic "Export marketing Data processing"

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Marketing research for the global construction industry. Singapore: Singapore University Press, National University of Singapore, 1993.

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Bruce, Curry, and Rita Paulo 1963-, eds. Expert systems in tourism marketing. New York: Routledge, 1996.

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P, Gallagher John, ed. Expert systems for scanner data environments: The marketing workbench laboratory experience. Boston: Kluwer Academic Publishers, 1990.

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Heer, Aart Jan de. Informationsstrategier på exportmarknaden: Probelemidentifiering och problemlösning bland finländska stockhusexportörer på den tyska marknaden. Åbo: Åbo akademi förlag, 1999.

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Heer, Aart Jan de. Informationsstrategier på exportmarknaden: Problemidentifiering och problemlösning bland finländska stockhusexportörer på den tyska marknaden. Åbo: Åbo akademis förlag, 1999.

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The expert executive: Using AI and expert systems for financial management, marketing, production, and strategy. New York: Wiley, 1988.

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Computergestützte Entscheidungshilfen im Marketing: Die Integration informationsorientierter, modellorientierter und wissensbasierter Ansätze im Rahmen eines Systems zur Unterstützung der Analyse von Marketingdaten. Frankfurt am Main: P. Lang, 1989.

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Moriarty, Rowland T. The adoption of marketing and sales automation: A model to explore benefits and risks, working paper. Cambridge, Mass: Marketing Science Institute, 1991.

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Digital marketing: Using new technologies to get closer to your customers. London: Kogan Page, 2002.

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A practical guide to localization. Amsterdam: Benjamins, 2000.

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Book chapters on the topic "Export marketing Data processing"

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Stepanova, Viktorija, and Ingars Eriņš. "Overview of Professional Growth Data Processing in Latvia." In Marketing and Smart Technologies, 389–400. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4183-8_31.

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Lambert, Paul B. "ight to Prevent Direct Marketing Processing." In Essential Introduction to Understanding European Data Protection Rules, 225–27. Boca Raton : CRC Press, 2017.: Auerbach Publications, 2017. http://dx.doi.org/10.1201/9781315115269-22.

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Lambert, Paul B. "ight to Prevent Direct Marketing Processing." In Essential Introduction to Understanding European Data Protection Rules, 225–27. Boca Raton : CRC Press, 2017.: Auerbach Publications, 2017. http://dx.doi.org/10.1201/9781138069848-22.

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Viloria, Amelec, Noel Varela, Doyreg Maldonado Pérez, and Omar Bonerge Pineda Lezama. "Data Processing for Direct Marketing Through Big Data." In Computational Vision and Bio-Inspired Computing, 187–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37218-7_21.

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Benslama, Teissir, and Rim Jallouli. "Clustering of Social Media Data and Marketing Decisions." In Lecture Notes in Business Information Processing, 53–65. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64642-4_5.

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Wang, Tingzhong, and Lingli Zhu. "Development Strategy of E-Commerce Network Marketing Based on New Media Marketing Mode." In Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019), 417–24. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1468-5_51.

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Kaabi, Safa, and Rim Jallouli. "Overview of E-commerce Technologies, Data Analysis Capabilities and Marketing Knowledge." In Lecture Notes in Business Information Processing, 183–93. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30874-2_14.

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Mbwambo, Naza A., and Emma T. Liwenga. "Cassava as an adaptation crop to climate variability and change in coastal areas of Tanzania: a case of the Mkuranga district." In Climate change impacts and sustainability: ecosystems of Tanzania, 23–33. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789242966.0023.

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Abstract This study was carried out in two villages, Kizapala and Kazole, of the Mkuranga District, in the Coast Region of Tanzania. The objective of the study was to establish the role of cassava as an adaptation crop to the changing climate and household food security. Primary data were obtained using household questionnaires and different participatory rural appraisal (PRA) techniques which included focus group discussions (FGDs), key informants and expert meetings. Secondary data were collected through a literature review, whereas temperature and rainfall data from 1984 to 2014 was obtained from the Tanzania Meteorological Agency (TMA). In each village, a sample size of 10% of all households was interviewed. Findings showed that 96% of respondents from Kazole village and 90% from Kizapala linked climate change with major climatic extreme events such as prolonged droughts and occasional abnormal floods. Analysis of temperature data for the last 30 years (1984-2014) revealed that temperature had significantly risen by a correlation coefficient of R2 = 0.4936 for maximum and R2 = 0.777 for minimum temperature. The field survey results closely correlated with findings from the analysis of TMA rainfall and temperature data. Findings revealed a decline in crop production which resulted in food shortages and livelihood insecurity in the study villages. The respondents in both villages consider cassava as a crop that is least affected by climate and environmental extremes, thus serves to ensure food availability and security in their households. As a result, growing cassava should be considered as an adaptation strategy to climate change and variability now and in the future. Improving cassava production, processing, marketing and value chain infrastructures is, therefore, crucial for enhancing sustainable adaptation in the district.
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Zhu, Lisa, and Feng Yang. "Innovation of Real Estate Marketing Strategies Based on “Internet+”." In Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019), 661–66. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1468-5_78.

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Liu, Yishu. "Data Analysis of Marketing Development Status Under the Background of Big Data." In 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems, 945–52. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1726-3_116.

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Conference papers on the topic "Export marketing Data processing"

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Puke, Ieva, Anda Batraga, Jelena Salkovska, and Henrijs Kalkis. "Specific Marketing Capabilities for Improved Export Performance in Young Firms." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002655.

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The key challenge for young firms in export markets is to find the market opportunity and to develop an appropriate value proposition. The aim of this study is to identify the specific marketing capabilities that support the process of internationalization in young firms and to develop the model that links marketing capabilities to the export performance. The research model was tested within young exporting firm sample in Latvia. Quantitative data was analysed using factor analysis and structural equation modelling with PLS-SEM. This study identifies a unique set of marketing capabilities that enhance the export performance. Strategic marketing capabilities that have a positive effect on export performance are 1) customer engagement (the largest effect), 2) partner linking, 3) market sensing, 4) new product development and 5) strategic creativity capabilities. Firms need to develop cultural marketing capabilities - agility, proactivity, adaptiveness and openness to experiments in the export marketing process. This type of behaviour, particularly proactivity and openness to experiments, has a positive effect on export results and enhances the level of strategic marketing capabilities. The research model can be used by export firm managers and owners to improve the export performance and by government export promotion program leaders to develop and substantiate support tools and activities.
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Harper, William, Nader A. Al-Otaibi, Abdulaziz N. Ababtain, Thomas Bubenik, and Husain M. Al-Muslim. "Susceptibility of Stress Corrosion Cracking in Liquid and Gas Pipelines: A Saudi Aramco Study Using Statistical Approaches." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64348.

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Owned by the Saudi Arabian Government, Saudi Aramco is a fully-integrated, global petroleum enterprise and a world leader in exploration and producing, refining, distribution, shipping and marketing. The company manages the largest proven reserves of conventional crude and the fourth-largest gas reserves in the world. The company runs a vast network of pipelines transporting oil, gas and refined products to processing plants, refineries, export terminals and other customers all over the Kingdom of Saudi Arabia. Saudi Aramco maintains its commitment to supply gas to the continuously growing local markets by implementing latest technologies and state of the art engineering solutions. Since 2009, and as a result of launching an Electromagnetic Acoustic Transducer (EMAT) In-Line Inspection (ILI) Program, Saudi Aramco has discovered Stress Corrosion Cracking (SCC) defects in a number of its pipelines. Saudi Aramco built on ASME B31.8S criteria for identifying SCC susceptible segments to prioritize its network to manage the utilization of the EMAT technology. The criteria were based on pipeline operating parameters, environment, age and condition. An Extensive Field Verification program was put in action that illustrated the capabilities of the EMAT ILI tools. (Saudi Aramco’s ILI program included a few additional runs of Ultrasound Crack Detection Tool, UTCD, as well). This paper discusses in more detail how the Study Team enhanced the ASME B31.8S prioritization criteria and the major findings and highlights realized from this activity. A statistical evaluation of the data compiled in the 1st phase of the comprehensive study was conducted along with the literature review. The Study Team used logistic regressions[1,2] to identify factors that increase or decrease the likelihood that cracking is present. The trends that were identified relate to coating type, pipe grade, pipeline age, diameter, thickness, metal loss, cathodic protection (CP) level, slope, and pipe type. The Study Team used the findings to profile crack susceptibility in the pipelines found with SCC and for the Saudi Aramco pipeline network as a whole to identify pipelines susceptible to cracking to include in the future ILI runs.
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Zhou, Chennan, Rixin Zhuang, and Fei Chen. "Application of Big Data Processing Technology in Power Marketing System." In 2022 International Conference on 3D Immersion, Interaction and Multi-sensory Experiences (ICDIIME). IEEE, 2022. http://dx.doi.org/10.1109/icdiime56946.2022.00016.

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Wang, Jingzhe. "Design of customer marketing big data processing system based on data mining clustering technology." In 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/ameii-16.2016.20.

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He, Qiong. "Research on the Advantage Strategy of Social Network Big Data in Marketing." In CIPAE 2021: 2021 2nd International Conference on Computers, Information Processing and Advanced Education. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3456887.3457106.

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Xu, Hongsheng, Ke Li, and Ganglong Fan. "Novel Model of E-Commerce Marketing Based on Big Data Analysis and Processing." In 2017 International Conference on Computer Network, Electronic and Automation (ICCNEA). IEEE, 2017. http://dx.doi.org/10.1109/iccnea.2017.51.

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Rajappa, Shivnarayan, and Gaurav Raj. "Application and scope analysis of Augmented Reality in marketing using image processing technique." In 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence). IEEE, 2016. http://dx.doi.org/10.1109/confluence.2016.7508159.

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Yan, Cheng. "Data Mining and Marketing Strategy Analysis of E-commerce Enterprises Based on RFM Model." In ICIIP '22: 2022 7th International Conference on Intelligent Information Processing. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3570236.3570243.

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Li, Jianwei, and Xi Chen. "Research on On-line Marketing Model of Agricultural Products Based on Data Mining Algorithm." In IPEC2022: 2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3544109.3544346.

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Shi, Yuanning. "Analysis of the Developmental Trend of Data Mining and the Applications on Precision Marketing." In 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/amitp-16.2016.17.

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Reports on the topic "Export marketing Data processing"

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Lawrence, Vivian. Issues in interpreting the export administration regulations' processing data rate. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.88-4022.

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, July 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detection, refractometer and a scale (mass). Data were analyzed and provided input for five classification models. Chlorophyll from fluorescence was found to give the best estimation for ripeness stage while the combination of machine vision and firmness from impact performed best for quality sorting. A new algorithm was developed to estimate and minimize training size for supervised classification. A new criteria was established to choose a training set such that a recurrent auto-associative memory neural network is stabilized. Moreover, this method provides for rapid and accurate updating of the classifier over growing seasons, production environments and cultivars. Different classification approaches (parametric and non-parametric) for grading were examined. Statistical methods were found to be as accurate as neural networks in grading. Classification models by voting did not enhance the classification significantly. A hybrid model that incorporated heuristic rules and either a numerical classifier or neural network was found to be superior in classification accuracy with half the required processing of solely the numerical classifier or neural network. In Israel: A multi-sensing approach utilizing non-destructive sensors was developed. Shape, color, stem identification, surface defects and bruises were measured using a color image processing system. Flavor parameters (sugar, acidity, volatiles) and ripeness were measured using a near-infrared system and an electronic sniffer. Mechanical properties were measured using three sensors: drop impact, resonance frequency and cyclic deformation. Classification algorithms for quality sorting of fruit based on multi-sensory data were developed and implemented. The algorithms included a dynamic artificial neural network, a back propagation neural network and multiple linear regression. Results indicated that classification based on multiple sensors may be applied in real-time sorting and can improve overall classification. Advanced image processing algorithms were developed for shape determination, bruise and stem identification and general color and color homogeneity. An unsupervised method was developed to extract necessary vision features. The primary advantage of the algorithms developed is their ability to learn to determine the visual quality of almost any fruit or vegetable with no need for specific modification and no a-priori knowledge. Moreover, since there is no assumption as to the type of blemish to be characterized, the algorithm is capable of distinguishing between stems and bruises. This enables sorting of fruit without knowing the fruits' orientation. A new algorithm for on-line clustering of data was developed. The algorithm's adaptability is designed to overcome some of the difficulties encountered when incrementally clustering sparse data and preserves information even with memory constraints. Large quantities of data (many images) of high dimensionality (due to multiple sensors) and new information arriving incrementally (a function of the temporal dynamics of any natural process) can now be processed. Furhermore, since the learning is done on-line, it can be implemented in real-time. The methodology developed was tested to determine external quality of tomatoes based on visual information. An improved model for color sorting which is stable and does not require recalibration for each season was developed for color determination. Excellent classification results were obtained for both color and firmness classification. Results indicted that maturity classification can be obtained using a drop-impact and a vision sensor in order to predict the storability and marketing of harvested fruits. In conclusion: We have been able to define quantitatively the critical parameters in the quality sorting and grading of both fresh market cantaloupes and tomatoes. We have been able to accomplish this using nondestructive measurements and in a manner consistent with expert human grading and in accordance with market acceptance. This research constructed and used large databases of both commodities, for comparative evaluation and optimization of expert system, statistical and/or neural network models. The models developed in this research were successfully tested, and should be applicable to a wide range of other fruits and vegetables. These findings are valuable for the development of on-line grading and sorting of agricultural produce through the incorporation of multiple measurement inputs that rapidly define quality in an automated manner, and in a manner consistent with the human graders and inspectors.
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Finkelstain, Israel, Steven Buccola, and Ziv Bar-Shira. Pooling and Pricing Schemes for Marketing Agricultural Products. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568099.bard.

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In recent years there has been a growing concern over the performance of Israel and U.S. agricultural marketing organizations. In Israel, poor performance of some marketing institutions has led to radical reforms. Examples are the two leading export industries - citrus and flowers. In the U.S., growth of local market power is eliminating competitive row product prices which served as the basis for farmer cooperative payment plans. This research studies, theoretically, several aspects of the above problem and develops empirical methods to assess their relative importance. The theoretical part deals with two related aspects of the operation of processing and marketing firms. The first is the technological structure of these firms. To this end, we formalize a detailed theory that describes the production process itself and the firm's decision. The model accounts for multiple products and product characteristics. The usefulness of the theory for measurement of productivity and pricing of raw material is demonstrated. The second aspect of the processing and marketing firm that we study is unique to the agricultural sector, where many such firms are cooperatives. In such cooperative an efficient and fair mechanism for purchasing raw materials from members is crucial to successful performances of the firm. We focus on: 1) pricing of raw materials. 2) comparison of employment of quota and price regimes by the cooperative to regulate the quantities, supplied by members. We take into consideration that the cooperative management is subject to pressure from member farmers. 3) Tier pricing for raw materials in order to ensure efficiency and zero profits at the cooperative level. This problem is examined in both closed and open cooperatives. The empirical part focuses in: 1) the development of methodologies for estimating demand for differentiated products; 2) assessing farmers response to component pricing; 3) measurement of potential and actual exploitation of market power by an agricultural marketing firm. The usefulness of the developed methodologies are demonstrated by several application to agricultural sub-sectors, including: U.S. dairy industry, Oregon wine industry, Israeli Cotton industry and Israeli Citrus industry.
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Volkova, Nataliia P., Nina O. Rizun, and Maryna V. Nehrey. Data science: opportunities to transform education. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3241.

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The article concerns the issue of data science tools implementation, including the text mining and natural language processing algorithms for increasing the value of high education for development modern and technologically flexible society. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to discover knowledge from the raw data. Data science is developing fast and penetrating all spheres of life. More people understand the importance of the science of data and the need for implementation in everyday life. Data science is used in business for business analytics and production, in sales for offerings and, for sales forecasting, in marketing for customizing customers, and recommendations on purchasing, digital marketing, in banking and insurance for risk assessment, fraud detection, scoring, and in medicine for disease forecasting, process automation and patient health monitoring, in tourism in the field of price analysis, flight safety, opinion mining etc. However, data science applications in education have been relatively limited, and many opportunities for advancing the fields still unexplored.
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Dzanku, Fred M., and Louis S. Hodey. Achieving Inclusive Oil Palm Commercialisation in Ghana. Institute of Development Studies (IDS), February 2022. http://dx.doi.org/10.19088/apra.2022.007.

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Oil palm is the most important export crop in Ghana, aside from cocoa. Compared with cocoa, however, oil palm has a more extensive local value chain, including greater opportunity for local industrial and artisanal processing into palm oil and other products, which creates a high potential for employment generation and poverty reduction; as a result oil palm is classified as a priority crop. The selection of oil palm as a priority crop aims to promote agricultural commercialisation through domestic agroindustry development and exports. In spite of this, the oil palm economy has still not achieved its potential, and this begs the question, why? Although it is known in general that commercialisation potential and its benefits are not equally distributed across groups, it is not clear how and why different subgroups (women, men, youth) might benefit differently from the oil palm economy. This brief addresses why different groups of smallholders (women, men, youth) benefit unequally from oil palm value chains, and how returns to oil palm production and marketing could become more inclusive.
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