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Among the various online services provided by the government, e-tax system is one of the commonly used e-government platforms, which offers significant benefits to government and citizens by reducing costs, eliminate human errors, and reduce the turnaround time for processing income tax returns. Despite these plausible benefits, some reservations have been articulated regarding the continuance usage intention of e-tax system. Thus, we investigate the most critical factors of e-tax continuance usage in this paper. We developed an integrated theoretical model based on the technology continuance theory (TCT) extended with social influence and perceived risk. The proposed conceptual model was empirically validated with data collected from a sample of 345 e-tax service users in Bangladesh. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the collected data. The study findings suggest that user satisfaction, perceived usefulness, and attitude have a direct impact on continuance usage intention where confirmation, ease of use and social influence have indirect influence on continuance usage intention of e-tax system. This paper discusses some contributions to theory and practice based on our findings

The study was conducted to examine the nature of vegetable price variation from farmers to different traders through different marketing channels and identified some factors that were causes for vegetable price variation. On the basis of vegetable trader, five marketing channels identified which responsible for transporting vegetables from farmer to consumer. This study pointed out that the maximum price variation chain is Farmer ? Wholesaler ? Agent ? Retailer ? Consumer. This study also explored that price variation has a positive relationship with the increase of trader’s number and several times price variation executed in retailers’ level. Sometimes new trader arrivals in retail level which depends on the nature of vegetable deterioration. The majority farmers and traders remarked that price variation is occurred due to high input cost, high transportation cost, and traditional marketing system