1,720,958 research outputs found
The antecedents of m-banking usage under capital controls in Greece: a mixed methods approach
No full textPurpose: capital controls restrict cash withdrawals and international transfers, among other restrictions. The purpose of the study is to explore how capital controls have influenced m-banking usage and disclose the underlying factors that explain m-banking usage intentions.Design/methodology/approach: grounded on the Technology Acceptance Model (TAM), this study assumes that usage behavior may be different from intentions to adopt. In-depth interviews (study 1) were employed with both consumers and bank employees to explore the factors of m-banking adoption under capital controls, followed by an online survey (study 2) pertaining to examine the relationships between underlying factors.Findings: Study 1 reveals that the growth of m-banking usage is strongly associated with capital controls that perceived ease of use, usefulness, risk, technology anxiety and decision comfort are significant attributes in influencing usage intention. Study 2 verifies that most underlying factors are important predictors of m-banking usage intention, except technology anxiety does not impact m-banking usage.Research limitations/implications: the respective effects on usage intentions may be different in the absence of capital controls. A similar study could examine the importance of the respective constructs in conditions of no forced use. The case of forcing consumers to adopt a technological innovation could be further explored.Practical implications: retail banking consumers have changed their banking and financing behaviors because of capital controls. Forced usage may cause customers to cultivate positive attitudes towards the technology and consider it for continuous usage.Originality/value: capital controls were found to impact positively customer behavior towards m-banking. It is revealed that capital controls have forced bank customers to adopt and use m-banking for their financial needs
The relationship between the factors that drive diffusion and resistance to diffusion in the context of consumer self-service technologies
No full textEThOS - Electronic Theses Online ServiceGBUnited Kingdo
Mobile Marketing Tools And The Consumer Decision-Making Process
Full text linkThis paper explores the influence of mobile marketing tools in the consumer decision-making process. The aim is to provide a better understanding of consumer mobile shopping behaviour. There is limited research on this topic, which mainly explains the use of qualitative method in this study. The dining industry in Lebanon provides the respective service and geographic research contexts for this exploratory study. In-depth interviews conducted with a purposive sample of service providers and consumer opinion leaders. Their views were contrasted. The results show that there is limited use of the traditional mobile marketing tools and a shift from traditional mobile tools to modern or more trendy ones was noticed (e.g., Push Notifications instead of SMS). Moreover, it is found that mobile tools influence consumer shopping differently and their effect varies given the customer type. The decision-making process of loyal customers and influencers is more affected by mobile marketing tools than the regular or ordinary customers. In addition, in some cases mobile marketing may speed up the shopping process and may encourage impulse purchases. Marketers should be aware of the different mobile tools and know how and when to use them to develop effective targeting campaigns
An examination of consumers' resistance to computer-based technologies
No full textPurpose: This paper aims to provide a better understanding of non-adoption of technological interfaces. The majority of diffusion research on technological innovations does not distinguish clearly between non-adoption and resistance behavior and assumes a symmetrical or linear relationship between the positive and negative influencing factors. As a result, it has not recognized the different types of non-adoption. Design/methodology/approach: The determinants of customers' propensity to adopt or not to adopt computer-based technologies were examined in the context of internet banking. Several multivariate analysis methods were combined to examine the dimensionality of the constructs involved and their explanatory power on customer intentions and usage behavior. Findings: The resulting five dimensions revealed new links that help to explain customer intention in relation to usage behavior. The results reveal that some of the factors explaining non-adoption are not the opposite of those explaining adoption behavior and that others influence positively both behaviors. It is also found that pre-adoption behavior may be different from usage behavior and that delay behavior may be characterized by different phases. Research limitations/implications: The findings of this exploratory study suggest new evidence on non-adoption behavior that may stimulate further research inquiry. Practical implications: Recognizing these different aspects of customer behavior in relation to adoption/non-adoption has implications for managers involved in utilizing the internet as a channel for customer service. Originality/value: This study examined diffusion of innovation from a different angle, looking at non-adoption behavior which may sometimes be the result of some kind of resistance. © Emerald Group Publishing Limited
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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