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Uses of cellular phone among the university students are increasing in Bangladesh. To capture this growing market segment and meeting their diverse demand, it is important for the manufacturers and marketers of cellular phone to know about the factors that these young truly judge. This study is undertaken to find out the factors that affect young Bangladeshi university students' intention to purchase cellular phone. Through using a structured questionnaire, completed responses of 350 respondents were collected by applying convenience sampling technique. To test the reliability of the collected data, Cronbach's alpha was measured. Besides this, Regression and ANOVA is used to explain the relationship between the factors affecting university students' cell phone purchase intention and test the proposed hypotheses. Statistical package for the social sciences (SPSS) version 21.0 was used to perform the statistical tests. This study found significant influence of cell phone price, cell phone feature, brand name and social influence on university students' cellular phone purchase intention. Findings of the study will help the cellular phone manufacturers and marketers to design their youth centric marketing strategies. Moreover, managerial implications along with the directions for future research have also been discussed.

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With increased use of Internet and information technology platforms, e-commerce has experienced tremendous growth worldwide in the recent years. Although growing steadily in various digital services, Bangladesh has not been able to gain full advantages and benefits of e-commerce due to its poor adoption rate. This study aims at exploring the factors affecting e-commerce adoption in Bangladesh by applying an extended version of Unified Theory of Acceptance and Use of Technology (UTAUT) model which includes perceived risk, perceived cost and personal awareness with perceived usefulness, perceived ease of use, social influence, and facilitating conditions. This study applies a mixed methods research approach by combining qualitative field study and quantitative survey. A PLS based structural equation modeling is employed to a dataset of 253 individuals which are collected by applying a convenient sampling technique. The study results reveals that perceived usefulness, perceived cost, personal awareness and facilitating conditions affect consumer behavioral intention while facilitating conditions as well as behavioral intention have positive influence on actual use of e-commerce. This study also provides several implications that might be useful for the academic proponents, decision makers, and various stakeholders.

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