990 resultados para Internet shopping


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[ES] Este trabajo se encuadra dentro de los estudios centrados en el análisis del comportamiento de compra del consumidor en Internet. Nos centramos en la adaptación del modelo de la jerarquía de efectos basado en su variante de la jerarquía estándar de aprendizaje para proponer teóricamente un modelo conceptual que explica cómo las creencias —i.e. diseño, velocidad de interacción, beneficios sociales y privacidad— y actitudes del consumidor hacia Internet, como medio de comunicación, pueden considerarse como determinantes plausibles de la confianza en la compra online. Asimismo, en nuestro modelo se plantea que las opiniones del consumidor respecto a la compra a distancia también deben ejercer una influencia sobre sus valoraciones de Internet, como medio de comunicación y, especialmente, de compra.

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This chapter identifies relevant factors of Maori trust in terms of encouraging online shopping of B2C e-commerce by Maori in New Zealand. The concepts of trust, risk and reputation are used to explore the uptake of Internet shopping in a B2C context by Maori, a minority-but significant-racial group, in New Zealand. Reputation and adoption of e-commerce in Maori culture emanates from family and tribe, typically by word of mouth. This chapter suggests that specific cultures like the Maori have different elements in their trust of e-commerce, which needs to be addressed to encourage broader use.

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The purpose of this dissertation was to investigate cross-cultural differences in the use of the Internet. Hofstede's model of national culture was employed as the theoretical foundation for the analysis of cross-cultural differences. Davis's technology acceptance model was employed as the theoretical foundation for the analysis of Internet use. ^ Secondary data from an on-line survey of Internet users in 22 countries conducted in April 1997 by the Georgia Tech Research Corporation measured the dependent variables of Internet use and the independent variables of attitudes toward technology. Hofstede's stream of research measured the independent variables of the five dimensions of national culture. ^ Contrary to expectations, regression analyses at the country level of analysis did not detect cultural differences. As expected, regression analyses at the individual level of analysis did detect cultural differences. The results indicated that perceived usefulness was related to the frequency of Internet shopping in the Germanic and Anglo clusters, where masculinity was high. Perceived ease of use was related to the frequency of Internet shopping in the Latin cluster, where uncertainty avoidance was high. Neither perceived usefulness nor perceived ease of use was related to the frequency of Internet shopping in the Nordic cluster, where masculinity and uncertainty avoidance were low. ^ As expected, analysis of variance at the cluster level of analysis indicated that censorship was a greater concern in Germany and Anglo countries, where masculinity was high. Government regulation of the Internet was less preferred in Germany, where power distance was low. Contrary to expectations, concern for transaction security. was lower in the Latin cluster, where uncertainty avoidance was high. Concern for privacy issues was lower in the U.S., where individualism was high. ^ In conclusion, results suggested that Internet users represented a multicultural community, not a standardized virtual community. Based on the findings, specific guidance was provided on how international managers and marketers could develop culturally sensitive strategies for training and promoting Internet services. ^

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Purpose – This paper compares the experiential consumption values that motivate consumer choice to purchase online for both male and female purchasers and non-purchasers. Design/methodology/approach – Using the theory of consumption value the study examines gendered perceptions of the functional, social and conditional value of using a virtual consumption setting for purchasing. Data was collected through an online survey and analysed using multiple discriminant analysis to determine meaningful differences between male and female purchasers and non-purchasers. Findings – The findings show that male online purchasers are discriminated from female purchasers by social value and from male non-purchasers by conditional value. Female purchasers are discriminated from male purchasers by functional value and from female non-purchasers by social value. Female non-purchasers are discriminated from female purchasers by conditional value. Male non-purchasers are discriminated from male purchasers by functional and social value. Research limitations/implications – Limitations include using an Internet survey and an Australian sample which may impact the generalisability of the findings to a wider population of Internet users. Future research should involve replication of the study in a country more or less developed in terms of gender composition of internet users to extend the generalisability of the findings. Additionally, researchers should examine whether other dimensions of consumption value,such as social influence through on- and off-line communication networks, may influence consumer choice to purchase online. Practical implications – The study provides practical implications for marketers to leverage consumption values that influence male and female consumers’ choice to purchase online and then drive their behaviour online through integrated marketing campaigns that involve both on- and offline strategies. Originality/value – The research makes an original contribution to the consumer behaviour literature as to date, no research has been found that undertakes such a comprehensive gender-based comparison of the perceived value of using a virtual consumption setting for purchasing.

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Reliability of the performance of biometric identity verification systems remains a significant challenge. Individual biometric samples of the same person (identity class) are not identical at each presentation and performance degradation arises from intra-class variability and inter-class similarity. These limitations lead to false accepts and false rejects that are dependent. It is therefore difficult to reduce the rate of one type of error without increasing the other. The focus of this dissertation is to investigate a method based on classifier fusion techniques to better control the trade-off between the verification errors using text-dependent speaker verification as the test platform. A sequential classifier fusion architecture that integrates multi-instance and multisample fusion schemes is proposed. This fusion method enables a controlled trade-off between false alarms and false rejects. For statistically independent classifier decisions, analytical expressions for each type of verification error are derived using base classifier performances. As this assumption may not be always valid, these expressions are modified to incorporate the correlation between statistically dependent decisions from clients and impostors. The architecture is empirically evaluated by applying the proposed architecture for text dependent speaker verification using the Hidden Markov Model based digit dependent speaker models in each stage with multiple attempts for each digit utterance. The trade-off between the verification errors is controlled using the parameters, number of decision stages (instances) and the number of attempts at each decision stage (samples), fine-tuned on evaluation/tune set. The statistical validation of the derived expressions for error estimates is evaluated on test data. The performance of the sequential method is further demonstrated to depend on the order of the combination of digits (instances) and the nature of repetitive attempts (samples). The false rejection and false acceptance rates for proposed fusion are estimated using the base classifier performances, the variance in correlation between classifier decisions and the sequence of classifiers with favourable dependence selected using the 'Sequential Error Ratio' criteria. The error rates are better estimated by incorporating user-dependent (such as speaker-dependent thresholds and speaker-specific digit combinations) and class-dependent (such as clientimpostor dependent favourable combinations and class-error based threshold estimation) information. The proposed architecture is desirable in most of the speaker verification applications such as remote authentication, telephone and internet shopping applications. The tuning of parameters - the number of instances and samples - serve both the security and user convenience requirements of speaker-specific verification. The architecture investigated here is applicable to verification using other biometric modalities such as handwriting, fingerprints and key strokes.

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Las tecnologías de la información han empezado a ser un factor importante a tener en cuenta en cada uno de los procesos que se llevan a cabo en la cadena de suministro. Su implementación y correcto uso otorgan a las empresas ventajas que favorecen el desempeño operacional a lo largo de la cadena. El desarrollo y aplicación de software han contribuido a la integración de los diferentes miembros de la cadena, de tal forma que desde los proveedores hasta el cliente final, perciben beneficios en las variables de desempeño operacional y nivel de satisfacción respectivamente. Por otra parte es importante considerar que su implementación no siempre presenta resultados positivos, por el contrario dicho proceso de implementación puede verse afectado seriamente por barreras que impiden maximizar los beneficios que otorgan las TIC.

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The theoretical understanding of online shopping behavior has received much attention. Less focus has been given to the formation of the customer experience (CE) that results from online shopper interactions with e-retailers. This study develops and empirically tests a model of the relationship between antecedents and outcomes of online customer experience (OCE) within Internet shopping websites using an international sample. The study identifies and provides operational measures of these variables plus the cognitive and affective components of OCE. The paper makes contributions towards new knowledge and understanding of how e-

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Despite the proliferation of e-commerce adoption by SMEs and the world-wide growth of e-commerce, in general there is a paucity of empirical studies that examine the adoption of e-commerce by SMEs in the Middle East. In this paper, the authors provide insights into the salient e-commerce adoption issues by focusing on Saudi Arabian SMEs. This research was designed using a qualitative approach through in-depth case studies selected from firms in Saudi Arabia. The findings contribute toward a better conceptual and practical understanding of the main factors driving SMEs to adopt e-commerce. The authors find that the level of e-commerce implementation has yet to mature and customer readiness for Internet shopping must improve before e-commerce reaches the levels of maturity seen in other regions of the world. This study highlights directions for future inquiry and implications for information and technology managers and policymakers in developing Arab nations.

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Electronic commerce (e-commerce) has become an increasingly important initiative among Small and Medium Enterprises (SMEs) as both a great opportunity and as a source of competition. The factors affecting adoption decisions of e-commerce by SMEs have been well documented, but there is a paucity of empirical studies that examine the adoption of e-commerce in the Arab world. The aim of this chapter is to provide insights into the salient e-commerce adoption issues by focusing on Saudi Arabian businesses. This chapter investigates the state of e-commerce adoption and analyses the factors that determine the extent to which SMEs in Saudi Arabia are inclined towards deploying e-commerce technologies. This research was designed using a qualitative approach through exploratory case studies selected from firms in Saudi Arabia. The findings contribute towards a better conceptual and practical understanding of the main factors driving SMEs to adopt e-commerce. The study has found that the level of e-commerce implementation has yet to mature and customer readiness for Internet shopping has to improve before e-commerce reaches the levels of maturity seen in other regions of the world. This study highlights several directions for future inquiry and implications for policymakers and managers who are involved in efforts to introduce complex innovations such as e-commerce into their organisations or are interested in expanding their e-commerce applications and generating more revenue.

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Despite the proliferation of e-commerce adoption by SMEs and the world-wide growth of e-commerce, in general there is a paucity of empirical studies that examine the adoption of e-commerce by SMEs in the Middle East. In this paper, the authors provide insights into the salient e-commerce adoption issues by focusing on Saudi Arabian SMEs. This research was designed using a qualitative approach through in-depth case studies selected from firms in Saudi Arabia. The findings contribute toward a better conceptual and practical understanding of the main factors driving SMEs to adopt e-commerce. The authors find that the level of e-commerce implementation has yet to mature and customer readiness for Internet shopping must improve before e-commerce reaches the levels of maturity seen in other regions of the world. This study highlights directions for future inquiry and implications for information and technology managers and policymakers in developing Arab nations.

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The experimental study investigated the interactions between homepage content and consumer personality based on an original conception of consumer online processing. The empirical findings enable homepage designers to frame communication messages with appeals to particular consumer personality segments, resulting in better message strategies.

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Research shows that consumers are readily embracing the Internet to buy products. This paper proposes that, in the case of grocery shopping, this may lead to sub-optimal decisions at the household level. Decisions online on what, where and from who to buy are normally taken by one individual. In the case of grocery shopping, decisions, however, need to be ‘vetted’ by ‘other’ individuals within the household. The ‘household wide related’ decisions influence how information technologies and systems for commerce should be designed and managed for optimum decision making. This paper argues, unlike previous research, that e-grocery retailing is failing to grow to its full potential not solely because of the ‘classical’ hazards and perceived risks associated with doing grocery shopping online but because e-grocery retailing strategy has failed to acknowledge the micro-household level specificities that affect decision making. Our exploratory research is based on empirical evidence which were collected through telephone interviews. We offer an insight into how e-grocery ‘fits’ and is ‘disrupted’ by the reality of day to day consumption decision making at the household level. Our main finding is to advocate a more role-neutral, multi-user and multi-technology approach to e-grocery shopping which re-defines the concept of the main shopper/decision maker thereby reconceptualising the ‘shopping logic’ for grocery products.