260 research outputs found

    Consumer online purchase behaviour: perception versus expectation

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    Conceptualising online customer behaviour is very important, as more and more customers are interested in buying products through online. To capture online customer behaviour, this study has conducted empirical research in Bangladesh among general online customers who have experience in online buying or have an intention to buy from online boutique websites in Bangladesh. In this regard, the quality-purchase interaction model that was developed, based on both customer perception and the expectation of buying online from business-to-consumer electronic-commerce in Bangladesh, was used to capture actual customer behaviour or behavioural intention for online purchasing. We conducted path analysis through LISREL to reveal the causal relation between independent and dependent variables. There are some significant differences between online buying behaviour and the behavioural intention to buy online, that is between customers who have experience of online buying from a boutique website and those who have the intention to buy online but have not yet gotten an online buying experience

    Novel Frame Work for Blockchain Based Votingapplication Using Ethereum Virtual Machine

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    Blockchain fills in as a scattered record development which licenses propelled assets for be executed in decentralized framework which works in a common manner. In bound together systems everything depends upon the central structure and the outcomes of throwing a voting form system were not exact considering the way that anyone can change. These kinds of results are wrong and not trustworthy by the people who are voting. The Voting machines that are accessible as of now rely upon the servers which are centralized. Here the people who are voting have to keep belief on the concentrated individuals for the accurate results. So, the contemplating decentralized law-based systems that can settle on the political choice procedure very snappy and easy. These scattered systems are the most praised advancement improvement in this present genuine world. Here Blockchain advancement has various wide extent of usages starting and beginning from distributing statistics, economics etc. Here the blockchain advancement is used as a help of achieve this just assembled application that depends concerning a decentralized appropriated application. Here, the structure works in the way as follows, the transactions or understandings whichever executed are changed over into machine reasonable method of reasoning that engages and ensures understanding among various people who are in the organization, and in like manner who has the solidarity to support their individual money exchanges, different activities and opposite party challenges that are associated with their checking and observing. Smart understandings will be enabled and they are to be passed on into a blockchain space or stage, the amount of possible use cases for this development will be checked and improves amazingly. The most critical use of this blockchain is that to empty the prerequisite for pariahs in the two individuals when all is said in done and the private parts, to end up being progressively capable and effective

    Service delivery through mobile-government (mGov): Driving factors and cultural impacts

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    The mobile-Government (mGov) service system is conducted through an open network, and it is virtual. This service mode and pattern change inevitably necessitates a behavioral change in citizen attitudes and intentions. Nevertheless, this new pattern of service delivery through mGov has hardly been systematically investigated by any researchers. The objective of this current research is twofold. First, we attempt to reveal the sources of beliefs for developing intention toward the mGov (ITM) system. Then, as the second objective, we investigate cultural influence as the reason for a difference in consumer attitudes and intentions toward mGov. In this regard, the empirical study was conducted in Bangladesh and the USA, which have potential differences in the cultural traits listed by Hofstede. From our statistical analysis, we have identified the sources of beliefs for both Bangladeshi and USA consumers.We observed clear differences in sources of beliefs and their influence on attitudes leading to intention, which demonstrates support for our second objective which was designed to verify the cultural impacts on belief-attitude relations.We understand that these different sources of beliefs influence cognitive, affective, and connative attitudes toward mGov in different ways

    Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction

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    Diabetic Retinopathy (DR) is one of the major causes of visual impairment and blindness across the world. It is usually found in patients who suffer from diabetes for a long period. The major focus of this work is to derive optimal representation of retinal images that further helps to improve the performance of DR recognition models. To extract optimal representation, features extracted from multiple pre-trained ConvNet models are blended using proposed multi-modal fusion module. These final representations are used to train a Deep Neural Network (DNN) used for DR identification and severity level prediction. As each ConvNet extracts different features, fusing them using 1D pooling and cross pooling leads to better representation than using features extracted from a single ConvNet. Experimental studies on benchmark Kaggle APTOS 2019 contest dataset reveals that the model trained on proposed blended feature representations is superior to the existing methods. In addition, we notice that cross average pooling based fusion of features from Xception and VGG16 is the most appropriate for DR recognition. With the proposed model, we achieve an accuracy of 97.41%, and a kappa statistic of 94.82 for DR identification and an accuracy of 81.7% and a kappa statistic of 71.1% for severity level prediction. Another interesting observation is that DNN with dropout at input layer converges more quickly when trained using blended features, compared to the same model trained using uni-modal deep features.Comment: 18 pages, 8 figures, published in Electronics MDPI journa

    Exploring multichannel design: Strategy and consumer behaviour

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    This research is engaged in identifying and linking different research findings in the wide area of online and offline channel design that is based on the possibility of offering multichannel design. Recent marketing trends have shown that suppliers of products/services are very interested in inventing different new web-based channels and social networks as selling channels and communication outlets in addition to conventional offline channels. This current study attempts to review literature in this area that is addressing the apparently fragmented, but theoretically connected, issues, such as channel strategy, multichannel design criteria, optimisation of channel switching, consumer channel selection criteria, consumer preferences in adopting any channel, consumer attitudes towards online advertisements, market segmentation based on consumer psycho-social traits for channel selection, and a comparative analysis between conventional and online channels. Through a detailed literature review, this study has identified the limitations of these research articles and acknowledged research gaps. Based on those research gaps, a set of sequential recommendations are stated to advance the theoretical and managerial gap in marketing research on multichannel design reflecting consumer integrative behaviour

    Content design of advertisement for consumer exposure: Mobile marketing through short messaging service

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    The success of mobile phone-based short messaging service (SMS) commercials as a tool of promotional marketing depends upon the wording, statement, language, presentation − in other words, the overall content of the message. If consumers are not exposed to the mobile phone SMS containing promotional offers, marketers would less likely to achieve any benefits by sending SMS to prospective consumers. This study is aimed to identify and empirically examine the critical variables that can attract consumers to open and read the advertisement on the SMS. To address consumer exposure, the study was designed on the conceptual paradigms of the UTAUT2 with the inclusion of three external constructs: personalization, self-concept, and trust. Through a consumer survey, this study found significant variations from the UTAUT2 to provide new constructs to capture consumer intentions for exposure to the product. By doing so, this study has developed and tested an extended version of UTAUT2, which is named as UTAUT-CEMM (Unified Theory of Acceptance and Use of Technology of Consumer Exposure for Mobile Message). It revealed that consumer segmentation and target marketing is the most effective way to communicate with consumers through promotional marketing conducted by the mobile phone SMS. It also suggested that this promotional marketing is valuable only for highly reputable vendors/retailers

    Reformation of public service to meet citizens’ needs as customers: Evaluating SMS as an alternative service delivery channel

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    Citizens of different countries are now experiencing a newly invented service delivery channel to receive service from government portals. This study addresses whether a service delivery channel, based on mobile phones and provided through a short messaging service can be included in public administration to meet citizen requirements. The study further examines what factors are important to develop citizen perceptions of high value and effectiveness of this new service delivery channel. It also attempts to identify if culture has any effect on developing a positive attitude toward this service delivery channel. This study, through an empirical investigation among citizens in three countries - the USA, India, and Bangladesh, has identified that citizens are quite satisfied with this new service delivery channel use by the public service domain. The success of this delivery channel depends on the issue of segmentation. If public service providers can effectively segment the market based on time, location, and requirements, and can deliver the preferred message to concerned users with relevant and information that is easy to access and process, citizens will regard this service delivery channel as effective and satisfactory, and as competent as its private counterparts

    The inherent tensions within sustainable supply chains: a case study from Bangladesh

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    The complexities surrounding the supply chain logistics for perishable commodities within Bangladesh are extensive. Poor infrastructure, fragmented transportation and corruption compound the operational complexities within this emerging market. This case study analyses many of the day-to-day operational challenges and tensions inherent within Micro-Small-Medium Enterprises (MSMEs) forming the backbone of the Bangladesh socio-economic structure. The drive for transition toward greater levels of sustainability and corporate responsibility is problematic, affecting many levels within an extended and fragmented supply chain. The selected case study highlights the “lived in” geographical, environmental, economic and cultural factors that impact the ability of emerging market enterprises to remain profitable within emergency scenarios whilst transitioning toward a more sustainable model. This study, whilst detailing many of the tensions and critical issues facing MSMEs, highlights the benefits of direct Government intervention, criticality of a leaner and more efficient supply chain and reassessment of financial incentives to drive the transition to a more efficient and sustainable economy
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