Hamed Hakimian Book order

Focusing on the export marketing landscape, this study examines the factors influencing Iranian Small and Medium-sized Enterprises (SMEs). It presents a developed export decision model based on extensive literature and a cross-sectional survey of 358 exporting SMEs in Iran. Utilizing SPSS for data analysis, the research identifies key enablers of export marketing, including technology intensiveness, product attractiveness, management expertise, government support, and market barriers. Out of seven proposed hypotheses, six were confirmed, highlighting critical elements for SMEs' export success.

Nowadays, Recommendation Systems are becoming increasingly vital to the Web users to identify products, services or contents that they might like. Recommendation Systems using Collaborative Filtering are very vulnerable to the Cold-Start problem because they operate solely on the basis of users' preferences. Hence, researches have recently proposed efficient hybrid solutions, so called "Hybrid Recommendation Systems," that combine both Content-based Filtering and Collaborative Filtering to boost the performance. This book attempts to resolve the Cold-Start problem along with implementing a web application working based on information of users' profiles. Finally, to do business analysis, the results of questionnaires and interviews have been brought.