Japan’s Model of Mobile Ecosystem Success: The Case of NTT DoCoMo

This research looks at the adoption of Internet and mobile applications in the United States and Japan. It is the intent ofthis meta-exploratory study to examine factors of success with Japan’s mobile industry over the past decade. Takeshi Natsuno defined the ecosystem as a collection of roles in a collaborative balance. It is here that we began to search for the factors that have had an impact on the success of the mobile industry in Japan over the past two decades. It is the intent of this study to identify and discuss those factors to validate the ecosystem research model and to recommend its use for future research. We found the ecosystem model to be very robust as a model to discuss, categorize, and explain the mobile industry in Japan, leading us to a robust and explanatory push-pull investment model. It is intended that this model will be used for future research. We concluded in this research that risk-taking was the predominant factor influencing the success of the mobile ecosystem in Japan. We found in Japan a clear investment earlier in the process, as the first step in most cases, where mobile carriers, such as NTT DoCoMo, would partner with university labs to develop mobile applications, such as i-Mode and e-payment systems, and then mobile consumers would have new applications and functionality to adopt. The model is very powerful and can be considered for adoption in other countries and maybe for other ecosystems

Confiabilidade, segurança e a decisão de comprar em plataformas eletrônicas : estudos de validade de uma escala

The digitization of the economy is creating difficulties for traditional companies, jeopardizing the survival of the most resistant to change. With e-commerce platforms, small and micro-businesses can open new channels of communication with consumers, paying attention to some psychological factors that influence the decision to buy online: the perception of security, reputation, trust, appearance and design websites. The purpose of this article is to assess the importance of these factors in the decision to purchase online, using a questionnaire administered online (GoogleForms) to a Portuguese convenience sample (n = 163). The results reveal differences based on sex and consumers’ previous experience in carrying out online transactions, as well as significant associations between some of the dimensions of the online trust scale of Sevim and Hall (2014) and the use of e-commerce platforms. In the conclusions, some proposals for conceptual clarification are presented and the psychometric properties of the scale used are discussed.info:eu-repo/semantics/publishedVersio

An Examination of Consumers’ High and Low Trust as Constructs for Predicting Online Shopping Behavior

This research examines the constructs of high and low trust on consumers’ behavior with online shopping. The authors developed a research model and instrument to study the trust construct in the acceptance online shopping applications. The authors hypothesized that trust positively influences a person’s intention to purchase from a virtual store and that trust positively affects the consumer’s attitude toward using the e-store. Consumers who trust an online company feel more committed to it. Previous research showed that the causal antecedents of customer confidence in e-tailers included the site’s ease of use, the level of online shopping resources, and existence of a trusted third party seal. The authors developed a survey instrument where in a sample of 940 respondents the constructs yielded respectable reliability and construct validity. The authors conducted analysis for the measurement reliability and validity by Cronbach alpha reliability coefficients and confirmatory factor analysis using AMOS 21. The measurement scales for this instrument showed strong psychometric properties. Average Variance Extracted (AVE) was extracted for assessing convergent and discriminant validity showing strong support for the research model. The causal structure of the research models was tested using a Structural Equation Model (SEM). The authors found that intrinsic motivation was more important for attitude toward online purchasing among high truster persons, and under low institution environments, people tended to form positive attitudes mainly based on preserved usefulness without intrinsic motivation. The authors found that attitude toward using acts as a strong predictor of behavioral intention to use and actual usage of online shopping technologies. According to the authors’ results, trust provides the foundation with which intrinsic motivation will work well. In other words, trust may have long-term effects on online shopping behavior

Examining the role of online motivations in consumer online shopping intention using technology acceptance model

Electronic commerce sales continue rising due to Internet growth. However, online retailers may not be doing enough to promote their products causing them to forego potential profits. Understanding the impact of motivational factors on consumer intention to shop online will enable online retailers to design effective ebusiness strategy that engage users, leading to additional purchases. In this study, the researcher modified the Technology Acceptance Model (TAM) to reflect the impact of some online motivational factors in online shopping. The TAM posits perceived ease of use (PEOU) and perceived usefulness (PU) contribute to an individual‘s behavioral intention. Research has shown motivational factors have the ability to influence PEOU and PU. Although many studies have used the model to better understand e-commerce, the problem is that they have ignored some important external variables. This study adopted a quantitative research methodology using surveys to collect research data from survey subject. A structural equation modeling software (Analysis of Moment Structures or AMOS) was applied to examine the direct and mediating effects hypotheses. The analysis of the data has supported some purposed relationships. It was found that convenience, social media, and personalization positively influence to consumer perceived usefulness of online shopping, and consumer intention to shop online. Moreover, perceived enjoyment positively influences to consumer intention to shop online, and website attributes positively affects perceived ease of use of online shopping. While, results failed to support relationships between the information density and consumer intention to shop online. This research makes several theoretical contributions and provides further insights on the effects of online shopping motivations on consumer behavior particularly in Malaysia. Methodological and practical implications were discussed and several potential avenues for future research were identified and proposed. Generally, this study improves our knowledge on what factors drive consumers to shop online, how they work, and what their implications are for customers and online retailers

Factors affecting cryptocurrency adoption in digital market of Malaysia

Cryptocurrency plays an important role in today's digital currency environment. Improving cryptocurrency adoption is important for consumers and practitioners, as it improves understanding, enhances behavior, attitude, trust, and increases satisfaction. Though the lack of cryptocurrency adoption is a significant issue that arises in the digital market, cryptocurrency adoption is crucial to the support of technology capability facilitated with appropriate behavioral intention too. Considering the fact, this study intended to investigate the impact of cryptocurrency adoption in the digital market in Malaysia. This empirical study examined the role of trust (TR), social influence (SI), cryptocurrency transaction transparency (CTT), technology awareness (TA), facilitating conditions (FC), performance expectancy (PE), attitude (AT), customer satisfaction on behavioral intention (BI) and cryptocurrency adoption (CA). The study also intended to examine the role of behavioral intention as a mediator in the context of cryptocurrency adoption. In line with the research objectives, systematic random sampling was used in this study. Cross-sectional data were collected using a questionnaire at the cryptocurrency consumer of Malaysia, which produced a total of 349 usable responses. The study employed Partial Least Squares Structural Equation Modelling (PLS-SEM) for data analysis. Findings o the study revealed that TR, SI, CTT, TA, and FC positively affect CA (dependent variable) through the mediation of behavioral intention (BI) in Malaysia's digital market. On the other hand, PE, AT, and CS negatively affect cryptocurrency adoption in Malaysia's digital market. Future researchers may replicate the study in different countries in a different industry context and integrate similar constructs to broaden the current body of knowledge