E-Perakendecilik ve Gelişimi Engelleyen Dirençler

Günümüzde e-perakendeciler tüketicilerin isteklerine cevap verdiklerini iddia ederken, acaba tüketicilere yegane seçenekleri sunmakta olduklarini göz ardi mi ediyorlar? Özellikle gelisen pazar sartlarinda, kamusal alanlarin özellestirilmesi ve güvenlikli sitelerin insasi ile tüketicilerin geo-demografik özellikleri degisirken vakti kisitli ama alim gücü yüksek bireylerin katma degerli farkli hizmet seçenekleri beklentisi içerisine girmelerine yol açiyor. Ancak, günümüzde perakendecilerin yeni e-market uygulamalarina gösterdikleri direnç, modern e-tüketicilerin nitelikli ürün ve servis firsatlarindan faydalanmasini engelliyor. Bilgi ve iletisim teknolojilerindeki son gelismeler, e-kanallar söz konusu oldugunda lojistik aginin küçük ölçekli nitelikli ürünlere yönelik mikro düzeyde degerlendirilmesi gerekmekte ve kentsel yenilenme, e-perakende firmalari, lojistik saglayicilar ve kentsel planlamacilar arasinda bir isbirligi ihtiyaci dogurmaktadir. Ancak öte yandan hizla degisen perakende yapisi içerisinde, yerel cografyanin etkisini ve çoklu iliskileri anlama konusunda e-kanallarda varlik gösteren bu üç oyuncunun gösterdigi karsilikli direnç de önemli bir role sahip olarak ortaya çikmakta. Süreci yöneten üç aktörün dinamik bir pazar yapisi içerisinde e-market dagitim planlama ve uygulama süreçlerine gösterdikleri direnç detayli olarak incelenmelidir. Peki, ucunda daha iyi hizmet verebilmek, daha çok kazanç elde etmek de olsa çoklu entegrasyona ve isbirliksel ortakliga gösterilen bu çift tarafli direncin sebepleri acaba nedir?

E-government strategy in Turkey:a case for m-government

Market orientation strategies are now expected to be integrated and enacted by firms and governments alike. While private services will surely continue to take the lead in mobile strategy orientation, others such as government and Non-Governmental Organizations (NGOs) are also becoming prominent Mobile Players (m-Players). Enhanced data services through smart phones are raising expectations that governments will finally deliver services that are in line with a consumer ICT lifestyle. To date, it is not certain which form of technological standards will take the lead, e.g. enhanced m-services or traditional Internet-based applications. Yet, with the introduction of interactive applications and fully transactional services via 3G smart phones, the currently untapped segment of the population (without computers) have the potential to gain access to government services at a low cost.

Discriminating behaviors through value added premium online grocery offering

Despite many interest in e-grocery, little has changed, over the years, in the offering that is often geared only towards low value staple products. Yet, from an e-supermarket perspective, the number of sourcing stores is increasing regularly providing an illusion of service improvement. This situation, we argue is leading e-grocery providers to forego profits as consumers need to look both at the competition online and offline to satisfy their overall regular grocery needs. Expansion of e-grocery operations could be better achieved, we argue, by serving diverse and premium priced products (e.g. organic, limited production, regional items; special occasions items and products related to health e.g. allergies, diabetes) and utilizing more efficiently modern logistic techniques. A framework is offered presenting a model including the delivery of premium products from various suppliers and providing an integrated service solution to e-grocery customers that complete traditional supermarket ranges, creating potential high value added products niches. In this context, the objective was to understand the consumer discrimination factors (ie: range of product, delivery timing, location, service quality) leading to intentions towards purchasing more items from e-grocery retailers. Data are derived from a survey of 356 respondents in Turkey’s three biggest metropolitan areas. The relationship between consumer attitudes and demographic characteristics are also analyzed. Factor and SEM analyses are used to discriminate within the sample (n=356, no of items=150). Results, future research and policy implications are discussed.