193 research outputs found

    Relationship marketing in service oriented companies: Retail pharmacy case study

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    Marketing is a moral responsibility of every modern company. All successful companies have to be marketing oriented. Marketing concept is based on the idea that customers and satisfaction of their needs and wants are always in focus of the companies, as most appropriate manner for increasing their profitability. Small companies are forced to be marketing oriented, also. Small companies have generally employed intuitions rather than marketing research techniques in their attempts to maximize customer satisfaction. Managers of small firms usually are focused on the fact that products and services they provide are those factors that will satisfy and retain the consumers. Most of small firm managers are not concerned with potential feedback from consumers. Relationship marketing as valuable tool for attracting and retaining consumers in small service oriented companies is defined in the study. How relationship marketing works in practice is shown through case study conducted in local retail pharmacy. Challenging situation for the pharmacy is to discover how to increase the profit when work with uniform prices of drugs. The research process conducted in the study has to provide insights into relationship marketing based on the patient’s behavior and patients buying decision making. Cognition of these two aspects would serve as good basis for developing further marketing actions for retaining the existing and attracting new patients as strategy for increasing the profit

    ÜdvΓΆzlΕ‘

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    Educational funcion of the school in contemporary society

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    А variety of factors are involved in raising children but the most important are: family and school, i.e. teacher. Among other factors peers, social environment, mass - media (especially TV), NGOs, and political parties have very strong influence, and, with the development of information society, the impact of different social networks or the Internet is constantly increasing. So, we can state two types of influence: one that is spontaneous, unintentional, and the other - influence that is deliberate, intentional, with a specially emphasized purpose, tasks and means of implementation. In this context, the pedagogical thought distinguishes functional education (inadvertent, spontaneous impact) and guided, intentional impact which falls within the domain of intentional education. Intentional education is realized by the school or by the teacher, according to a specific program, with specific objectives, tasks, methods and means. Key words: school, educational function, contemporary society

    Oral and maxillofacial rehabilitation of head and neck cancer patients

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    The general aim of this paper was to gain insight into the effects of maxillofacial rehabilitation in head and neck cancer patients using implantretained prostheses regarding treatment planning, implant survival, treatment outcome and quality of life. In R.Macedonia, this kinde of rehabilitation and research is very rare. This can finally contribute to improved rehabilitation of patients with head and neck cancer and to rise awerenes about the need of using implantretained prostheses regarding treatment planning, implant survival, treatment outcome and quality of life. Based on research done by Schoen (2004), we can concluded that, when following the technique described, a mandibulotomy can be combined safely with the insertion of implants in the ventral part of the edentulous mandible. We are about the first step in this area, hopefully that will develop proposed rehabilitation of head and neck cancer patients in Macedonia. Key words:oral ; Maxillofacial; rehabilitation; Head and Neck Cancer; patients

    ΠœΠ΅Π½Π°ΡŸΠΈΡ€Π°ΡšΠ΅ Π½Π° односитС со ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΈΡ‚Π΅ ΠΊΠ°ΠΊΠΎ основа Π·Π° ΡƒΠ½Π°ΠΏΡ€Π΅Π΄ΡƒΠ²Π°ΡšΠ΅ Π½Π° ΠΊΠ²Π°Π»ΠΈΡ‚Π΅Ρ‚ΠΎΡ‚ Π½Π° услугитС Π½Π° смСтководствСнитС ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ

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    Π’ΠΎ Π΄Π΅Π½Π΅ΡˆΠ½ΠΎΡ‚ΠΎ бизнис ΠΎΠΊΡ€ΡƒΠΆΡƒΠ²Π°ΡšΠ΅ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈΡ‚Π΅ сè повСќС користат Π½Π°Π΄Π²ΠΎΡ€Π΅ΡˆΠ½ΠΈ Π΄Π°Π²Π°Ρ‚Π΅Π»ΠΈ Π½Π° услуги Π·Π° ΠΎΠ΄Ρ€Π΅Π΄Π΅Π½ΠΈ Π΄Π΅Π»ΠΎΠ²Π½ΠΈ активности, со Ρ†Π΅Π» Π΄Π° Π±ΠΈΠ΄Π°Ρ‚ Π²ΠΎ моТност цСлосно Π΄Π° сС фокусираат Π½Π° ΡΠ²ΠΎΡ˜ΠΎΡ‚ основСн бизнис ΠΌΠΎΠ΄Π΅Π». ΠšΠΎΠΌΠΏΠ°Π½ΠΈΠΈΡ‚Π΅ ΡƒΠΏΠΎΡ‚Ρ€Π΅Π±ΡƒΠ²Π°Π°Ρ‚ ΡˆΠΈΡ€ΠΎΠΊΠ° Π»Π΅ΠΏΠ΅Π·Π° Π½Π° услуги бизнис ΠΊΠΎΠ½ бизнис (Π‘2Π‘), со ΠΈΠ½Ρ‚Π΅Π½Π·ΠΈΡ‚Π΅Ρ‚ кој Π²Π°Ρ€ΠΈΡ€Π° Π²ΠΎ зависност ΠΎΠ΄ ΠΏΡ€ΠΈΡ€ΠΎΠ΄Π°Ρ‚Π° Π½Π° ΠΈΠ½Π΄ΡƒΡΡ‚Ρ€ΠΈΡ˜Π°Ρ‚Π°, ΠΏΡ€ΠΈ ΡˆΡ‚ΠΎ Π½Π°Ρ˜Ρ‡Π΅ΡΡ‚ΠΎ сС Ρ€Π°Π±ΠΎΡ‚ΠΈ Π·Π° Π½Π°Π±Π°Π²ΠΊΠΈ Π²ΠΎ ΠΌΠ½ΠΎΠ³Ρƒ ΠΏΠΎΠ³ΠΎΠ»Π΅ΠΌ Ρ€Π°Π·ΠΌΠ΅Ρ€ ΠΎΠ΄ ΠΎΠ½ΠΈΠ΅ ΡˆΡ‚ΠΎ Π³ΠΈ ΠΏΡ€Π°Π²Π°Ρ‚ ΠΏΠΎΠ΅Π΄ΠΈΠ½Ρ†ΠΈ ΠΈΠ»ΠΈ ΡΠ΅ΠΌΠ΅Ρ˜ΡΡ‚Π²Π°. Π—Π° ΠΆΠ°Π», ΠΏΠΎΡ‚Ρ€ΠΎΡˆΡƒΠ²Π°Ρ‡ΠΈΡ‚Π΅ ΠΈΠ»ΠΈ Π±Π°Ρ€Π°Ρ‚Π΅Π»ΠΈΡ‚Π΅ Π½Π° услуги Π½Π΅ сС сСкогаш Π·Π°Π΄ΠΎΠ²ΠΎΠ»Π½ΠΈ ΠΎΠ΄ ΠΊΠ²Π°Π»ΠΈΡ‚Π΅Ρ‚ΠΎΡ‚ ΠΈ врСдноста Π½Π° услугитС ΡˆΡ‚ΠΎ Π³ΠΈ Π΄ΠΎΠ±ΠΈΠ²Π°Π°Ρ‚. ПонСкогаш искуствата Π²ΠΎ врска со Π½Π°Π±Π°Π²ΠΊΠ°Ρ‚Π° ΠΈ ΠΊΠΎΡ€ΠΈΡΡ‚Π΅ΡšΠ΅Ρ‚ΠΎ Π½Π° услугитС сС сосСма ΠΊΠΎΡ€Π΅ΠΊΡ‚Π½ΠΈ ΠΈ ΠΏΠΎΠ·ΠΈΡ‚ΠΈΠ²Π½ΠΈ, Π½ΠΎ ΠΏΠΎΡΡ‚ΠΎΡ˜Π°Ρ‚ ΠΈ искуства ΠΊΠΎΠΈ Π²ΠΎ Π³ΠΎΠ»Π΅ΠΌΠ° ΠΌΠ΅Ρ€Π° сС Ρ€Π°Π·ΠΎΡ‡Π°Ρ€ΡƒΠ²Π°Ρ‡ΠΊΠΈ, односно Π½Π΅ Π³ΠΈ исполнуваат ΠΎΡ‡Π΅ΠΊΡƒΠ²Π°ΡšΠ°Ρ‚Π°. РастСчката ΡƒΠ»ΠΎΠ³Π° Π½Π° услугитС, ΠΊΠ°ΠΊΠΎ Π³Π»ΠΎΠ±Π°Π»Π΅Π½ Ρ„Π΅Π½ΠΎΠΌΠ΅Π½ кој ја Π΄Π΅Ρ‚Π΅Ρ€ΠΌΠΈΠ½ΠΈΡ€Π° ΡƒΡΠΏΠ΅ΡˆΠ½ΠΎΡΡ‚Π° Π½Π° Π΅ΠΊΠΎΠ½ΠΎΠΌΠΈΠΈΡ‚Π΅ Π²ΠΎ свСтски Ρ€Π°ΠΌΠΊΠΈ, ја ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΡ€Π° ΠΏΠΎΡ‚Ρ€Π΅Π±Π°Ρ‚Π° ΠΎΠ΄ ΠΎΡ„ΠΎΡ€ΠΌΡƒΠ²Π°ΡšΠ΅ Π½Π° Π½Π°ΡƒΡ‡Π½Π° Ρ€Π°ΠΌΠΊΠ° која засСбно ќС Π³ΠΈ Ρ‚Ρ€Π΅Ρ‚ΠΈΡ€Π° услугитС ΠΊΠ°ΠΊΠΎ Π½Π°ΡƒΡ‡Π½ΠΎ ΠΏΠΎΠ΄Ρ€Π°Ρ‡Ρ˜Π΅. Оваа докторска Ρ‚Π΅ΠΌΠ° сС фокусира Π½Π° Ρ‚.Π½. Π½Π°Π΄Π²ΠΎΡ€Π΅ΡˆΠ½ΠΈ (outsourcing) Π΄Π°Π²Π°Ρ‚Π΅Π»ΠΈ Π½Π° смСтководствСни услуги. ΠžΡΠ½ΠΎΠ²Π½Π°Ρ‚Π° Ρ†Π΅Π», ΡΠΈΠ½Ρ‚Π΅Ρ‚ΠΈΠ·ΠΈΡ€Π°Ρ˜ΡœΠΈ најнови Π½Π°ΡƒΡ‡Π½ΠΈ ΠΈΡΡ‚Ρ€Π°ΠΆΡƒΠ²Π°ΡšΠ° ΠΎΠ΄ ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½Π°Ρ‚Π° област, Π΅ Π΄Π° сС ΠΏΡ€ΠΎΡƒΡ‡ΠΈ ΠΈ структуира Π΄Π΅Π»ΠΎΠ²Π½ΠΈΠΎΡ‚ однос Π½Π° Ρ€Π΅Π»Π°Ρ†ΠΈΡ˜Π° Π΄Π°Π²Π°Ρ‚Π΅Π»-корисник Π½Π° смСтководствСни услуги, Π΄Π° сС ΠΏΡ€Π΅Π·Π΅Π½Ρ‚ΠΈΡ€Π°Π°Ρ‚ карактСристикитС Π½Π° услуТниот ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ ΠΈ услуТната ΠΎΠΊΠΎΠ»ΠΈΠ½Π° ΠΈ Π΄Π° сС ΠΏΠΎΠ½ΡƒΠ΄ΠΈ бизнис ΠΌΠΎΠ΄Π΅Π» кој ќС ΠΎΠ²ΠΎΠ·ΠΌΠΎΠΆΠΈ Π΄ΠΎΠ΄Π°Π΄Π΅Π½Π° врСдност Π½Π° услугата ΡˆΡ‚ΠΎ сС Π½ΡƒΠ΄ΠΈ. Под прСтпоставка Π΄Π΅ΠΊΠ° Π΄Π°Π²Π°Ρ‚Π΅Π»ΠΈΡ‚Π΅ Π½Π° смСтководствСни услуги посСдуваат силно истакната СкспСртиза ΠΎΠ΄ областа Π½Π° смСтководствСнитС Π½Π°ΡƒΠΊΠΈ, ΠΎΠ²Π°Π° Ρ‚Π΅ΠΌΠ° ќС придонСсС иститС Π΄Π° Π³ΠΎ ΠΊΡ€Π΅Π½Π°Ρ‚ своСто ΠΊΡ€ΠΈΡ‚ΠΈΡ‡ΠΊΠΎ Ρ€Π°Π·ΠΌΠΈΡΠ»ΡƒΠ²Π°ΡšΠ΅ Π½Π° Π΅Π΄Π½ΠΎ повисоко Π½ΠΈΠ²ΠΎ, Π²ΠΌΠ΅Ρ‚Π½ΡƒΠ²Π°Ρ˜ΡœΠΈ ΠΌΠ°Ρ€ΠΊΠ΅Ρ‚ΠΈΠ½Π³ - ΠΌΠ΅Π½Π°ΡŸΠΌΠ΅Π½Ρ‚ пристап Π²ΠΎ своСто Ρ€Π°Π±ΠΎΡ‚Π΅ΡšΠ΅. Π£ΠΏΡ€Π°Π²ΡƒΠ²Π°ΡšΠ΅Ρ‚ΠΎ Π½Π° Π΄Π΅Π»ΠΎΠ²Π½ΠΈΡ‚Π΅ односи со ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΈΡ‚Π΅ Π΅ процСс кој Ρ‚Ρ€Π΅Π±Π° Π΄Π° сС ΠΌΠ΅Π½Π°ΡŸΠΈΡ€Π°, ΡƒΠΏΡ€Π°Π²ΡƒΠ²Π° ΠΈ инвСстира. ΠŸΡ€Π°Π²ΠΈΠ»Π½ΠΎΡ‚ΠΎ ΡΡ‚Ρ€ΡƒΠΊΡ‚ΡƒΠΈΡ€Π°ΡšΠ΅ Π½Π° Π΄Π΅Π»ΠΎΠ²Π½ΠΈΠΎΡ‚ однос ΠΎΠ²ΠΎΠ·ΠΌΠΎΠΆΡƒΠ²Π° ΠΏΠΎΠ²Π΅ΡœΠ΅ΠΊΡ€Π°Ρ‚Π½ΠΈ ΠΏΡ€ΠΈΠ΄ΠΎΠ±ΠΈΠ²ΠΊΠΈ Π·Π° странитС Ρ‡ΠΈΠ½ΠΈΡ‚Π΅Π»ΠΈ Π½Π° истиот. ΠŸΡ€Π΅ΠΊΡƒ свСсно ΡƒΠΏΡ€Π°Π²ΡƒΠ²Π°ΡšΠ΅ Π½Π° односитС со ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΈΡ‚Π΅ ΠΎΠ΄ страна Π½Π° Π΄Π°Π²Π°Ρ‚Π΅Π»ΠΈΡ‚Π΅ Π½Π° смСтководствСни услуги, сС ΠΎΠ²ΠΎΠ·ΠΌΠΎΠΆΡƒΠ²Π° спознавањС Π½Π° спСцифичнитС ΠΏΠΎΠ±Π°Ρ€ΡƒΠ²Π°ΡšΠ° Π½Π° ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΈΡ‚Π΅-корисници. Π—Π° соодвСтно Π΄Π° сС ΠΏΠΎΠ·ΠΈΡ†ΠΈΠΎΠ½ΠΈΡ€Π°Π°Ρ‚ Π½Π° ΠΏΠ°Π·Π°Ρ€ΠΎΡ‚, смСтководитСлитС сС исправСни ΠΏΡ€Π΅Π΄ ΠΏΡ€Π΅Π΄ΠΈΠ·Π²ΠΈΠΊΠΎΡ‚ ΠΊΠΎΠ½Ρ‚ΠΈΠ½ΡƒΠΈΡ€Π°Π½ΠΎ Π΄Π° Π³ΠΎ Π½Π°Π΄Π³Ρ€Π°Π΄ΡƒΠ²Π°Π°Ρ‚ сопствСното знаСњС ΠΈ ΡƒΠΌΠ΅Π΅ΡšΠ΅ ΠΈ ΠΏΠΎΡΡ‚ΠΎΡ˜Π°Π½ΠΎ Π΄Π° ΠΏΡ€ΠΎΠ½Π°ΠΎΡ“Π°Π°Ρ‚ Π½Π°Ρ‡ΠΈΠ½ΠΈ, ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ ΠΈ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, со ΠΊΠΎΠΈ Π±ΠΈ ја ΡƒΠ½Π°ΠΏΡ€Π΅Π΄ΠΈΠ»Π΅ услугата која ја Π½ΡƒΠ΄Π°Ρ‚ ΠΊΠΎΠ½ ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΎΡ‚ - корисник. Како сСопфатна бизнис Ρ„ΠΈΠ»ΠΎΠ·ΠΎΡ„ΠΈΡ˜Π° која ΠΎΠ²ΠΎΠ·ΠΌΠΎΠΆΡƒΠ²Π° ΡƒΠ½Π°ΠΏΡ€Π΅Π΄ΡƒΠ²Π°ΡšΠ΅ Π½Π° односот Π΄Π°Π²Π°Ρ‚Π΅Π» - корисник Π½Π° смСтководствСни услуги, Π²ΠΎ докторскиот Ρ‚Ρ€ΡƒΠ΄ Π΅ ΠΏΡ€Π΅Π·Π΅Π½Ρ‚ΠΈΡ€Π°Π½ ΠΊΠΎΠ½Ρ†Π΅ΠΏΡ‚ΠΎΡ‚ Π½Π°Ρ€Π΅Ρ‡Π΅Π½ CRM (Customer Relationship Management) ΠΈΠ»ΠΈ ΠœΠ΅Π½Π°ΡŸΠΈΡ€Π°ΡšΠ΅ Π½Π° односитС со ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΈΡ‚ΠΈΡ‚Π΅. ЦРМ систСмитС прСтставуваат синтСза Π½Π° софтвСр ΠΈ бизнис Ρ„ΠΈΠ»ΠΎΠ·ΠΎΡ„ΠΈΡ˜Π°, ΠΊΠΎΠΈ Π²ΠΎ фокус Π³ΠΈ ΠΈΠΌΠ°Π°Ρ‚ спСцифичнитС ΠΏΠΎΠ±Π°Ρ€ΡƒΠ²Π°ΡšΠ° Π½Π° ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΈΡ‚Π΅. ΠŸΡ€Π΅ΠΏΠΎΠ·Π½Π°Π²Π°ΡšΠ΅Ρ‚ΠΎ Π½Π° ΠΏΡ€ΠΈΠ΄ΠΎΠ±ΠΈΠ²ΠΊΠΈΡ‚Π΅ ΠΊΠΎΠΈ Π³ΠΈ Π½ΡƒΠ΄Π°Ρ‚ ΠΎΠ²ΠΈΠ΅ систСми ΠΎΠ²ΠΎΠ·ΠΌΠΎΠΆΡƒΠ²Π° ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈΡ‚Π΅ Π΄Π°Π²Π°Ρ‚Π΅Π»ΠΈ Π½Π° смСтководствСни услуги Π΄Π° сС снабдат со Ρ€Π΅Π»Π΅Π²Π°Π½Ρ‚Π½ΠΈ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ Π·Π° карактСристикитС Π½Π° сопствСнитС ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΈ ΠΈ Π΄Π° ΠΏΠΎΠ½ΡƒΠ΄Π°Ρ‚ Π΄ΠΎΠ΄Π°Π΄Π΅Π½Π° врСдност Π½Π° услугитС ΠΊΠΎΠΈ Π³ΠΈ Π½ΡƒΠ΄Π°Ρ‚, ΡˆΡ‚ΠΎ ќС влијаС Π½Π° Π·Π³ΠΎΠ»Π΅ΠΌΡƒΠ²Π°ΡšΠ΅ Π½Π° Π»ΠΎΡ˜Π°Π»Π½ΠΎΡΡ‚Π° Π½Π° постоСчкитС ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΈ, ќС ΠΎΠ²ΠΎΠ·ΠΌΠΎΠΆΠΈ ΠΏΠΎΠ΄Π»ΠΎΠ³Π° Π·Π° Ρ€Π°Π·Π²ΠΈΠ²Π°ΡšΠ΅ Π½Π° ΡΡ‚Ρ€Π°Ρ‚Π΅Π³ΠΈΡ˜Π° Π·Π° ΠΏΡ€ΠΈΠ²Π»Π΅ΠΊΡƒΠ²Π°ΡšΠ΅ Π½Π° Π½ΠΎΠ²ΠΈ ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΈ ΠΈ Π²ΠΎ ΠΊΡ€Π°Ρ˜Π½Π° линија ќС Ρ€Π΅Π·ΡƒΠ»Ρ‚ΠΈΡ€Π° Π²ΠΎ Π·Π³ΠΎΠ»Π΅ΠΌΡƒΠ²Π°ΡšΠ΅ Π½Π° профитабилноста Π½Π° ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈΡ‚Π΅ Π΄Π°Π²Π°Ρ‚Π΅Π»ΠΈ Π½Π° смСтководствСни услуги. ΠšΠ»ΡƒΡ‡Π½ΠΈ Π·Π±ΠΎΡ€ΠΎΠ²ΠΈ: смСтководство, услуги, Аутсорсинг, ΠΎΠ΄Π½Π΅ΡΡƒΠ²Π°ΡšΠ΅, ΠΏΠΎΡ‚Ρ€ΠΎΡˆΡƒΠ²Π°Ρ‡ΠΈ, ΠΌΠ°Ρ€ΠΊΠ΅Ρ‚ΠΈΠ½Π³, ΠΌΠ΅Π½Π°ΡŸΠΈΡ€Π°Ρš

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    In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification

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    Self-supervised learning (SSL) has emerged as a promising approach for remote sensing image classification due to its ability to leverage large amounts of unlabeled data. In contrast to traditional supervised learning, SSL aims to learn representations of data without the need for explicit labels. This is achieved by formulating auxiliary tasks that can be used to create pseudo-labels for the unlabeled data and learn pre-trained models. The pre-trained models can then be fine-tuned on downstream tasks such as remote sensing image scene classification. The paper analyzes the effectiveness of SSL pre-training using Million AID - a large unlabeled remote sensing dataset on various remote sensing image scene classification datasets as downstream tasks. More specifically, we evaluate the effectiveness of SSL pre-training using the iBOT framework coupled with Vision transformers (ViT) in contrast to supervised pre-training of ViT using the ImageNet dataset. The comprehensive experimental work across 14 datasets with diverse properties reveals that in-domain SSL leads to improved predictive performance of models compared to the supervised counterparts
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