An analysis of Internet Banking in Portugal: the antecedents of mobile banking adoption

This is an open access journal distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.In recent years, mobile operations have gained wide popularity among mainstream users, and banks tend to follow this trend. But are bank customers ready to move forward? Mobile banking appears to be a natural extension of Internet banking, . Thus, to predict consumer decisions to adopt mobile banking, it’s useful to understand the pattern of adoption of Internet banking (IB). This investigation seeks contribute to an expansion of the knowledge regarding this matter by researching Portuguese consumers’ patterns and behaviors concerning the acceptance and use intention of IB as a foundation for establishing growth strategies of mobile banking. For data collection, we used an online “snowball” process. The statistical treatment used included a factor analysis in order to allow examination of the interrelationships between the original variables. The analysis was made possible by developing a set of factors that expresses the common traits between them. The results revealed that the majority of respondents did not identify problems with the use of and interaction with the IB service. The study generated some interesting findings. First, the data generally supports the conceptual framework presented. However, some points need to be made: (i) trust and convenience, from all the elements referenced in the literature as relevant from the client’ perspective, continue to be a very important elements; (ii) the results did not support the paradigm that the characteristics of individuals affect their behavior as consumers, (iii) individual technological characteristics affect consumer adoption of IB service; (iv) consumer perceptions about the IB service affect their use, as reveal by the existence of three types of customers that show different practices and perceptions of IB; and (v) intention to use IB is dependent upon attitudes and subjective norms regarding the use of IB

Mining Consumer Knowledge from Shopping Experience: A case study on Indian E_Commerce Industry

E_Commerce becomes far much popular in recent years. E Commerce nowadays is almost everywhere. People go through online ; meanwhile, they are more and more accustomed to buy goods via E_Commerce channel. - The E-Commerce web sites are facing lots of problems today. Customers prefer traditional way to purchase the products and not from E-Commerce web sites. If we see the history of E-Commerce, then we get that E-Commerce is the purpose of Internet and the web to conduct business Even in recession, it is thriving and has become one of the most important consumption modes. This study uses cluster analysis to identify the profiles of E_Commerce consumers. The rules between E_Commerce spokespersons and commodities from consumers are recognized by using association analysis. Depicting the marketing knowledge map of spokespersons, the best endorsement portfolio is found out to make recommendations. By the analysis of spokespersons, period, customer profiles and products, four business modes of E_Commerce are proposed for consumers: new product, knowledge, low price and luxury product; the related recommendations are also provided for the industry reference

Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThis study presents a framework for segmenting Food Delivery Application (FDA) customers based on psychographic and behavioral variables as an alternative to existing segmentation. Customer segments are proposed by applying clustering methods to primary data from an electronic survey. Psychographic and behavioral constructs are formulated as hypotheses based on existing literature, and then evaluated as segmentation variables regarding their discriminatory power for customer segmentation. Detected relevant variables are used in the application of clustering techniques to find adequate boundaries within customer groupings for segmentation purposes. Characterization of customer segments is performed and enriched with implications of findings in FDA marketing strategies. This paper contributes to theory by providing new findings on segmentation that are relevant for an online context. In addition, it contributes to practice by detailing implications of customer segments in an online sales strategy, allowing marketing managers and FDA businesses to capitalize knowledge in their conversion funnel designs

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

An Empirical Study of Guarantee in Service E-Commerce

Service e-Commerce (SeC) is emerging as a booming form of e-commerce where various services are contracted, managed, sold, and even delivered via the Internet. However, the uncertainty of service quality due to information asymmetry has been a major challenge to the development of SeC. Some SeC platforms tried to promote service business by lowering buyer’s perceived risk through the service guarantee mechanism. However, the mechanism seems not very successful to lift the low participation rate. This study investigated the effects of service guarantee on service e-marketplace by examining the case of zhubajie.com, a well-known service e-marketplace in China. A total of 30,406 providers (including 406 service-guarantee and 30,000 non-service-guarantee providers) were collected and analyzed. The analyses found that there are different modes for low-reputation and high-reputation service providers to participate in the service guarantee. In addition, results also show that service guarantee only improves business performance for the service providers with high reputation. For low-reputation service providers, the service guarantee mechanism does not have significant effects. Implications and suggestions were made to guide future practice and research in similar contexts

Latent segmentation of older adults in the use of social networks and e-banking services

Introduction. This study analyses heterogeneity in the online behaviour of elderly people. Previous research has centred on the socio-demographic segmentation of the elderly regarding their Internet use. Method. The novelty that this study adds is in determining this segmentation through variables that have been especially chosen for studies of the elderly and which are related to their utilitarian use of e-banking, compared to the more hedonic nature of using online social networks. Analysis. The sample was collected using 474 students over 55 years old enrolled in a class of experience in a University in the South of Europe (Spain). We use a latent class cluster model which is appropriate in situations of a posterior segmentation. Results. In dealing with such behaviour in situations of the elderly using these technologies, we have detected the presence of five groups or segments with highly differentiated use-related profiles concerning the variables analysed: venturesomeness, technology anxiety and selfconfidence in information and communication technologies use. Conclusion. We discover the existence of heterogeneity in the behaviour of the elderly regarding services available in Internet. The results support the idea proposed. The stereotype of the elderly cut off from technology is mistaken, as is shown by the different segments found

Consumers´ behaviour towards online grocery shopping

The purpose of this article is to examine the ability of the theory of planned behavior - in predicting the online grocery purchasing intentions of Portuguese consumers. The empirical investigation included a sample of 100 people. A main component and two stage cluster analysis methodology was used to identify three well-defined and highly interpretable categories based on attitudes, norms, perceptions from the Theory of planned behaviour (TPB) which were then profiled by demographic and grocery purchasing characteristics. The study's key findings reveal that attitude and perceived behavioral control are the components that have a substantial impact on influencing Portuguese consumers' intention to purchase online groceries.O presente estudo tem como objetivo estudar a capacidade da teoria do comportamento planeado - ao prever as intenções de compra de mercearia online dos consumidores portugueses. A investigação empírica incluiu uma amostra de 100 pessoas. Foi utilizada uma componente principal e uma metodologia de análise de agrupamento em duas fases para identificar três categorias bem definidas e altamente interpretáveis baseadas em atitudes, normas, perceções da Teoria do Comportamento Planeado (TPB) que foram depois perfiladas pelas características demográficas e de compra de mercearia.As principais conclusões deste estudo sugerem que a atitude e controlo comportamental percebido são componentes que têm um impacto significativo na intenção dos consumidores portugueses quando realizam compras de mercearias online

The social side of brick and mortar: the impact of brand-related user-generated content on different consumer typologies in food retailing

Social media influences most off-line purchasing decisions, thereby impacting the relationship between retailers and (prospective) customers. User-generated content (UGC) is a means of engaging with consumers and shaping their trust perception and loyalty. Based on a sample of 967 food retail customers, we identify four segments into which brand-related UGC consumers can be categorized: Brand Lovers, True-Blues, Detached Customers, and Confiding Customers. These clusters are distinct in terms of trust toward brand-related UGC, loyalty, brand-related UGC involvement, and demographics. Our findings add to the understanding of digital content marketing consequences by mapping four different brand-related UGC consumer typologies. From a managerial point of view, our findings suggest how to best engage with the determined consumer typologies and highlight the importance of social media for off-line businesses