Global architecture of marketing information systems - Scientific Information

Dařena, František

doi:10.17221/625-agricecon

Cited by 10 publications

(9 citation statements)

References 22 publications

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“…Mistr (2007) also stressed that the future of the information systems will have to be designed as user friendly computer programs and portals in the agricultural information systems. Dařena (2007) applied the information systems theory to marketing and established marketing information systems to support and manage marketing activities. in summary, the literature review showed there are few studies about the models of (röling 1988;röling and Engel 1991;rolls et al 1994;röling and Jiggins 1998) and analysis methods for (röling 1988;Engel 1995;garforth and Usher 1996;ramirez 1997) agricultural information systems.…”

Section: Literature Review About Previous Studiesmentioning

confidence: 99%

“…Although there are some farm-level studies on information systems (ramkumar 1995;ortiz 1997;Demiryürek 2000;Jordan et al 2003;Boyacı 2006;Demiryürek et al 2008), studies on social networks (rogers and Kincaid 1981;hoang et al 2006;Morone et al 2006;Demiryürek 2008) for farmers are very limited. Apart form the application of information systems to agricultural sectors, information systems can be applied to agricultural business, marketing and food sectors with the appropriate software and web portals to support decision making and information management (Kučera and Látečková 2006;Šilerová and Lang 2006;Dařena 2007;Šilerová and Kučírková 2008).…”

Section: Literature Review About Previous Studiesmentioning

confidence: 99%

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Information systems and communication networks for agriculture and rural people

Demiryürek¹

2010

AGR ECON-CZECH

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This review paper presents the concepts, theories and literature review that are relevant to information systems and communication networks for agriculture and rural people. The usefulness of information systems and communication networks is discussed in order to identify the system components, their networks, the understanding of how successfully they work and how to improve their performances. The definitions of terms used in this paper, such as information, system, information system, agricultural information systems and communication networks are first presented and discussed. The rationale of the system theory and information system approach and analysis method for agricultural information systems are described and discussed. in addition, the findings of related previous studies are reviewed and summarized. Finally, general conclusions about agricultural information systems are emphasized and implications for further research areas are presented.Key words: system, information, information system, agricultural information system, communication networks Abstrakt: Autor prezentuje koncepty, teorie a literární rešerši týkající se informačních systémů a komunikačních sítí pro zemědělství a venkov. Užitečnost informačních systémů a komunikačních sítí je zde diskutována za účelem identifikace systémových komponent, jejich sítí a pochopení toho, jak mohou úspěšně fungovat a jak lze jejich činnost zlepšit. nejprve jsou prezentovány definice pojmů použitých v příspěvku, jako je informace, systém, informační systém, zemědělský informační systém a komunikační sítě. Poté jsou popsáné a komentované základy systémové teorie, přístup založený na informačních systémech a metody analýzy zemědělských informačních systémů. Je zde rovněž shrnut přehled předchozích studií týkajících se uvedené problematiky. Konečně příspěvek podtrhuje obecné závěry týkající se zemědělských informač-ních systémů a poznatky vyplývající z nich pro další výzkum.Klíčová slova: systém, informace, informační systém, zemědělský informační systém, komunikační sítě

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Section: Literature Review About Previous Studiesmentioning

confidence: 99%

Section: Literature Review About Previous Studiesmentioning

confidence: 99%

Information systems and communication networks for agriculture and rural people

Demiryürek¹

2010

AGR ECON-CZECH

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“…Algunos estudios se han centrado sobre el desarrollo del SIM (v.g., Darena, 2007;Lin & Hong, 2009;MatviychukSoskina, 2009), el uso del SIM (v.g., Li, 1995;Li, Chen & Roan, 2001a;Li, McLeod & Rogers, 2001b), las aplicaciones del SIM (v.g., Wöber, 1994;Ritchie & Ritchie, 2002;Molina, Gómez y Martín-Consuegra, 2010) y las consecuencias de la adopción del SIM (O'Brien, Schoenbachler & Gordon, 1995;Talvinen & Saarinen, 1995;Van Bruggen, Smidts & Wierenga, 1998). En cambio, hay algún otro aspecto poco estudiado todavía, como es la medida de la efectividad del SIM (Gounaris, Panigyrakis & Chatzipanagiotou, 2007).…”

Section: Sistema De Información De Marketingunclassified

Sistemas de Información de Marketing: una visión integradora

López-Bonilla

Peña‐Vinces

2015

TMS

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ResumenLa información es un recurso imprescindible en la toma de decisiones de las organizaciones. Por ello, las organizaciones recurren a sistemas de información que les provean de este recurso básico. Un sistema de información es un medio por el que fluyen datos en una organización, desde un trabajador o departamento hasta otros trabajadores o departamentos. Esto puede ocurrir desde la comunicación interna de la organización hasta los sistemas informatizados que generan informes periódicos para distintos usuarios.En el presente trabajo, nos centramos en los sistemas de información desde la perspectiva de marketing. Se ha llevado a cabo un enfoque de estudio cualitativo, realizando una revisión de los modelos más relevantes presentados históricamente en la literatura académica respecto a los sistemas de información de marketing. Los sistemas más comunes son el Sistema de Información de Marketing (SIM) y el Sistema de Apoyo a las Decisiones de Marketing (SADM). Hemos observado que existe una cierta confusión en la literatura respecto a estos sistemas de información. Así, hemos tratado de aportar una visión integradora de los distintos puntos de vista existentes, proponiendo un sistema híbrido y global.Palabras claves: Sistema de información, sistema de información de marketing, SIM, sistema de apoyo a las decisiones de marketing, SADM. AbstractInformation is a basic resource for the decision making. For this, the organizations use information systems which give this basic resource. An information system is a means through which data flow inside a company, from a worker or department to other workers or departments. This may occur everywhere, from the organizations`s internal communication to computerized systems that generate periodical reports for varied users.In the present work, we center on the information systems from a marketing perspective. The methodology of this paper is based on a qualitative research approach. This article reviews relevant marketing information system models presented historically in the academic literature. The information systems most commonly examined are the Marketing Information System (MIS) and the Marketing Decision Support System (MDSS). We have observed that there is some confusion in the literature regarding these information systems. Hence, we have aimed to give an integrative viewpoint and we have proposed a hybrid and global system. Keywords: Information system, marketing information system, MIS, marketing decision support system, MDSS. IntroducciónEs sobradamente conocido que la información es un recurso imprescindible en la toma de decisiones de las organizaciones. La experiencia de los responsables de las organizaciones se debe complementar con la información necesaria para tratar de reducir riesgos y tomar las decisiones más adecuadas. Por ello, las organizaciones recurren a sistemas de información que les provean de este recurso básico. Además, como indican Pérez-López y Junquera (2013), las empresas se enfrentan a un entorno competitivo caracterizado por la globaliz...

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“…Tools to facilitate individual steps of marketing research, particularly collection of data and their analysis can be more eff ective through increased use of databases and data mining techniques (Bradly, 2007;Kříž, Dostál, 2010). As a part of a Marketing Information System (Dařena, 2007) such tools provide decision makers with a continuous fl ow of information relevant to their area of responsibility (Boone, Kurt, 2013).…”

Section: Introductionmentioning

confidence: 99%

Exploring Consumer Behavior: Use of Association Rules

Turčínek

Turčínková

2015

Acta Univ. Agric. Silvic. Mendelianae Brun.

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This paper focuses on problematic of use of association rules in exploring consumer behavior and presents selected results of applied data analyses on data collected via questionnaire survey on a sample of 1127 Czech respondents with structure close to representative sample of population the Czech Republic. The questionnaire survey deals with problematic of shopping for meat products. The objective was to explore possibilities of less frequently used data-mining techniques in processing of customer preference. For the data analyses, two methods for generating association rules are used: Apriori algorithm and FP-grow algorithm. Both of them were executed in Weka software. The Apriori algorithm seemed to be a better tool, because it has provided finer data, due to the fact that FP-growth algorithm needed reduction of preference scale to only two extreme values, because the input data must be binary. For consumer preferences we also calculated their means. This paper explores the different preferences and expectations of what customers’ favorite outlet should provide, and offer. Customers based on the type of their outlet loyalty were divided into five segments and further explored in more detail. Some of the found best association rules suggest similar patterns across the whole sample, e.g. the results suggest that the respondents for whom a quality of merchandise is a very important factor typically also base their outlet selection on freshness of products. This finding applies to all types of retail loyalty categores. Other rules seem to indicate a behavior more specific for a particular segment of customers. The results suggest that application of association rules in customer research can provide more insight and can be a good supplementary analysis for consumer data exploration when Likert scales were used.

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Global architecture of marketing information systems - Scientific Information

Cited by 10 publications

References 22 publications

Information systems and communication networks for agriculture and rural people

Information systems and communication networks for agriculture and rural people

Sistemas de Información de Marketing: una visión integradora

Exploring Consumer Behavior: Use of Association Rules

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