Implementation, deployment and maintenance of enterprise software pre-configured products are one of the key challenges managers need to address in order to stay competitive in the never ending ...search to find better ways of conducting business. In the literature there are discovered two general approaches through which managers can use for a successful implementation, deployment and maintenance of enterprise software products. First approach is based on the internal re-deployment of the managerial practices that are already used to manage other fields in the enterprise. Second – the deployment of “world-wide” industry “best practices” that international vendors of enterprise software and their local representatives sell as part of their pre-configured software products. This paper presents a novel model that enables enterprises to systematically evaluate the fit between their specific organizational characteristics and the organizational characteristics complementary with successful deployment of international pre-configured enterprise software products. The proposed model is tested through a comparison of two groups of enter-prises from the population of 1000 biggest enterprises in Slovenia. The first group mostly invests in local, while the second group mostly invests in international enterprise software products. The paper finds that on average there are significant and relevant differences in 44% of the examined organizational characteristics between the groups of enterprises that mostly invest in international or local enterprise software products. The model serves as a comprehensive organizational risk checklist for enterprises that are about to invest in enterprise software products.
Agriculture is a sector that today demands even greater efficiency; thus, it relies extensively on the use of precision agriculture technologies: IoT systems, mobile applications, and other ...digitalization technologies. Experience from a large-scale EU-funded project with a consortium made up of several software companies shows that software companies have a different and unequal knowledge/understanding of agricultural processes and the use of precision agriculture in agricultural processes. This finding coupled with what is known about the standard process model for IT governance (COBIT) triggered the idea of a reference standard process model for agriculture (RSPMA), which we present in this paper. We applied the Delphi technique to assess the RSPMA and evaluate its potential implementation in the area of agriculture. A panel of 20 members from Slovenia, Romania, Croatia, and Serbia was established for the study. The majority of RSPMA elements were identified as appropriate for the use in agriculture by the panel. The study results show that RSPMA is suitable for use in this field.
Worldwide spending of enterprises on information technologies (IT) in 2011 is projected to total USD 2.6 trillion with 350 enterprises each investing more than USD 1 billion. Despite such large and ...rapidly growing investment figures, the success rates of IT deployment projects over the past 20 years remained relatively low: approximately half of IT deployment projects were unsuccessful. Literature review reveals that inadequate strategic information system planning (SISP) is one of the main reasons for low deployment success rates of IT deployment projects and, thus, one of the current critical IT management issues. For this reason researchers and practitioners in the SISP field are currently directing their efforts into expanding the traditional understanding of SISP as a pure IT planning activity. In addition to the activities dedicated to the planning of IT investments, new SISP models should also include the contextual activities that enable adaptation of the deployed IT to the environment and knowledge transfer from the environment. In this paper, the authors propose an extended SISP model that includes influences of environmental stakeholders. The developed SISP model was empirically tested on a sample from the population of 1000 largest enterprises in Slovenia. The authors believe that the findings of their research and the suggested extended SISP model will improve understanding of SISP success factors in enterprises and consequently enable them to manage their IT investments with greater success.
The paper presents the idea of a reference standard process model for farming (RSPMF). The motivation of creation of RSPMF is to facilitate the work and increase the efficiency of the following ...target groups: product managers in software companies developing software products and ioT systems for farming, managers and owners of bigger farms and consultants for farming. We introduce the conceptual model of RSPMF through the introduce concepts on which RSPMF is being built, the structure of the model and the relations between the concepts. For the creation of the conceptual model entity-relationship diagramming technique is used. We have built RSPMF based on the idea and concepts of COBIT framework which is defined for the area of iT governance and which represents a de-facto standard for iT governance. We are not transforming cOBiT concepts to RSPMF in one-to-one manner: only those concepts are used which can be adapted and updated by expert knowledge of farming to be useful and appropriate for farming.
Na področju kmetijstva je na voljo čedalje več aplikacij in sistemov, ki med seboj niso integrirani. Posledično to onemogoča zbiranje podatkov različnih aplikacij ali sistemov na enem mestu in s tem ...analize nad vsemi podatki skupaj. Na podlagi tega problema je bil zasnovan in izpeljan EU-projekt AgroIT. V okviru EUprojekta AgroIT je bila zasnovana in implementirana oblačna integracijska platforma, ki omogoča integracije različnih aplikacij in sistemov. Integracije med aplikacijami in sistemi ne potekajo direktno, temveč prek oblačne integracijske platforme na podlagi standarda, ki je bil definiran v okviru projekta. Članek predstavlja realizacijo ciljev projekta AgroIT in koncepte oblačne integracijske platforme kot temeljnega gradnika projekta.
Nowadays, organisations aim to automate their business processes to improve operational efficiency, reduce costs, improve the quality of customer service and reduce the probability of human error. ...Business process intelligence aims to apply data warehousing, data analysis and data mining techniques to process execution data, thus enabling the analysis, interpretation, and optimisation of business processes. Data mining approaches are especially effective in helping us to extract insights into customer behaviour, habits, potential needs and desires, credit associated risks, fraudulent transactions and etc. However, the integration of data mining into business processes still requires a lot of coordination and manual adjustment. This paper aims at reducing this effort by reusing successful data mining solutions. We propose an approach for implementation of data mining into a business process. The confirmation of the suggested approach is based on the results achieved in eight commercial companies, covering different industries, such as telecommunications, banking and retail.
•A novel cloud-based decision support system AgroDSS was developed.•Users can upload own data and process it using the online data mining tools.•AgroDSS provides predictive modeling, explanation and ...time series analysis.•Case study of pest population dynamics illustrates the potential for the use.
Decision support systems, data analysis and data mining have become significant tools for improving business in professional world. The emerging technologies are making the precision agriculture omnipresent and allow potential for enriching it with computer-assisted decision support systems for farm management. In this paper we describe a novel system AgroDSS that bridges the gap between agricultural systems and state-of-the-art decision support methodology. The described system is intended for integration into the existing farm management information systems and provides a cloud-based decision support toolbox, allowing farmers to upload their own data, utilize several data analysis methods and retrieve their outputs. The implemented tools include predictive modeling with explanation, accuracy evaluation, time series clustering and decomposition, and structural change detection. They can help users make predictions for simulated scenarios and better understand the dependencies (interactions) within their domain. We apply the AgroDSS system on a case study of pest population dynamics, illustrating the potential for its use.
Consistency Checking of UML Business Model Vasilecas, Olegas; Dubauskaitė, Rūta; Rupnik, Rok
Technological and economic development of economy,
03/2011, Letnik:
17, Številka:
1
Journal Article
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Unified modelling language (UML) is often used in practice for modelling business system (BS) by various aspects. UML model of business system consists of different aspect models and their usage for ...information system (IS) design is related with inconsistency problem. It arises because ambiguous or even contradictory information are provided in different aspect models. The paper presents approach in ensuring UML model consistency. Several examples of consistency rules are included to the paper to illustrate how approach is working. Developed prototype of suggested approach is applied in a domain of enterprise manufacturing windows and doors. Obtained results are discussed.
Business decisions must rely not only on organisation’s internal data but also on external data from competitors or relevant events. This information can be obtained from the Web but must be ...integrated with the data in an organisation’s Data Warehouse (DW). In this paper we discuss the agent-based integration approach using ontologies. To enable common understanding of a domain between people and application systems we introduce business rules approach towards ontology management. Because knowledge in organisation’s ontologies is acquired from business users without technical knowledge simple user interface based on ontology restrictions and predefined templates are used. After data from internal DW, Web and business rules are acquired; agent can deduce new knowledge and therefore facilitate decision making process. Tasks like information retrieval from competitors, creating and reviewing OLAP reports are autonomously performed by agents, while business users have control over their execution through knowledge base in ontology. The approach presented in the paper was verified on the case study from the domain of mobile communications with the emphasis on supply and demand of mobile phones and its accessories.
For some decision processes a significant added value is achieved when enterprises’ internal Data Warehouse (DW) can be integrated and combined with external data gained from web sites of competitors ...and other relevant Web sources. In this paper we discuss the agent‐based integration approach using ontologies (DSS‐MAS). In this approach data from internal DW and external sources are scanned by coordinated group of agents, while semantically integrated and relevant data is reported to business users according to business rules. After data from internal DW, Web sources and business rules are acquired, agents using these data and rules can infer new knowledge and therefore facilitate decision making process. Knowledge represented in enterprises’ ontologies is acquired from business users without extensive technical knowledge using user friendly user interface based on constraints and predefined templates. The approach presented in the paper was verified using the case study from the domain of mobile communications with the emphasis on supply and demand of mobile phones. Santrauka Priimant kai kuriuos sprendimus reikšminga pridetinė vertė pasiekiama, kai įmones duomenų saugykla gali būti integruojama ir sujungiama su išoriniu konkurentų bei kitais svarbiais duomenimis, gaunamais iš interneto šaltiniu. Straipsnyje nagrinejamas tokio uždavinio sprendimas taikant ontologiją ir daugia‐agenčių integracijos metodų grindžiama būdą, naudotą daugiaagentėje sistemoje sprendimams rengti (DSS‐MAS). Taikant ši būdą duomenys iš vidinių duomenų saugyklų ir išorinių šaltiniu nagrinėjami bei renkami koordinuojamų agentų grupių. Veliau semantiškai integruoti bei atrinkti reikšmingi duomenys pateikiami verslo vartotojams pagal galiojančias verslo taisykles. Kai verslo taisykles, duomenys iš vidiniu duomenų saugyklų ir interneto šaltinių yra gauti, agentai naudodami šiuos duomenis, gali išvesti naujas žinias ir palengvinti sprendimu rengimo procesą. Žinios, vaizduojamos įmonės ontologijoje, gaunamos iš verslo vartotoju nekeliant jiems aukštu išsilavinimo reikalavimu, nes naudojama nežalinga sąsaja, kuri grindžiama prasmingais ribojimais ir iš anksto apibrėžtais šablonais. Straipsnyje pateiktas būdas buvo patikrintas nagrinėjant atvejį iš mobiliujų komunikacijų dalykinės srities ir pabrežiant mobiliųjų telefonų tiekimą bei paklausa.
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