Consumer Acceptance of Personal Cloud: Integrating Trust and Risk with the Technology Acceptance Model

This paper conducts a conceptual replication of Pavlou (2003) which studied factors that impacted consumer’s behavioral intentions to make online transactions by integrating trust and perceived risk with the technology acceptance model (TAM). We test the generalizability of the model by replicating the study a decade later using a different online setting—personal cloud computing. Our results that are based on 240 observations, confirm the original study’s research model except perceived ease of use lost its direct predictive power to trust, perceived risk and perceived usefulness. Trust continues to be an important factor in perceived ease of use and perceived usefulness and should be an area of focus in online marketing strategies. Perceived usefulness continued to have a significant relationship for consumer’s intentions to use, but perceived ease of use did not affect consumer’s intention to use. Thus, more online businesses should focus on the usefulness of their service(s). Future studies are encouraged to methodologically replicate this study in different contexts and after another period in time to examine whether results hold. *This article has been revised to correct an error (September 2016)

Open Data Discourse: Consumer Acceptance of Personal Cloud: Integrating Trust and Risk with the Technology Acceptance Model

This paper provides the data used to analyze the conceptual replication of Pavlou (2003) by Moqbel and Bartelt (2015) which studied factors that impacted consumer’s behavioral intentions to make online transactions by integrating trust and perceived risk with the technology acceptance model (TAM). We provide a detailed description of the data so it meets the open data standards. In particular, we explain the structure of the data so that other researchers can easily analyze the same dataset to come to the same results and conclusions. Our dataset consists of 240 observations which includes the following constructs: perceived trust, perceived risk, perceived usefulness, perceived ease of use, satisfaction, and perceived familiarity. Control variables include age, sex, educational level, race/ethnicity, employment status, and work experience. Future studies are encouraged to follow the footsteps of this study in providing open data to support the body of knowledge in the IS field

Open Data Discourse: Consumer Acceptance of Personal Cloud: Integrating Trust and Risk with the Technology Acceptance Model

This paper provides the data used to analyze the conceptual replication of Pavlou (2003) by Moqbel and Bartelt (2015) which studied factors that impacted consumer’s behavioral intentions to make online transactions by integrating trust and perceived risk with the technology acceptance model (TAM). We provide a detailed description of the data so it meets the open data standards. In particular, we explain the structure of the data so that other researchers can easily analyze the same dataset to come to the same results and conclusions. Our dataset consists of 240 observations which includes the following constructs: perceived trust, perceived risk, perceived usefulness, perceived ease of use, satisfaction, and perceived familiarity. Control variables include age, sex, educational level, race/ethnicity, employment status, and work experience. Future studies are encouraged to follow the footsteps of this study in providing open data to support the body of knowledge in the IS field

Open Materials Discourse: Consumer Acceptance of the Personal Cloud: Integrating Trust and Risk with the Technology Acceptance Model

This paper provides the materials used to collect survey data for the conceptual replication of Pavlou (2003) by Moqbel and Bartelt (2015). This replication paper used trust and perceived risk, in addition to the technology acceptance model (TAM) factors of perceived usefulness and perceived ease of use, to determine how consumer’s behavioral intentions affect online transactions (Moqbel & Bartelt, 2015). Two hundred forty participants took part in the 15-minute survey, with the option of choosing either online or paper format. This paper provides additional materials and details on how the survey was conducted. Step-by-step explanations are provided for the design, procedures, consent form, survey instructions, and the survey questions. We hope that this background paper will allow others a better understanding of our replication research and will also enable others to adapt our methodological techniques into their research

Consumer Acceptance of Personal Cloud: Integrating Trust and Risk with the Technology Acceptance Model

This paper conducts a conceptual replication of Pavlou (2003) which studied factors that impacted consumer’s behavioral intentions to make online transactions by integrating trust and perceived risk with the technology acceptance model (TAM). We test the generalizability of the model by replicating the study a decade later using a different online setting—personal cloud computing. Our results that are based on 240 observations, confirm the original study’s research model except perceived ease of use lost its direct predictive power to trust, perceived risk and perceived usefulness. Trust continues to be an important factor in perceived ease of use and perceived usefulness and should be an area of focus in online marketing strategies. Perceived usefulness continued to have a significant relationship for consumer’s intentions to use, but perceived ease of use did not affect consumer’s intention to use. Thus, more online businesses should focus on the usefulness of their service(s). Future studies are encouraged to methodologically replicate this study in different contexts and after another period in time to examine whether results hold. *This article has been revised to correct an error (September 2016)

Personal cloud user acceptance: The role of trust and perceived risk in the technology acceptance model

This research considers technology adoption issues, as well as risk and trust factors, that lead to behavioral intention of personal cloud computing. We are interested in whether similar results are found in personal cloud computing, a tool that may be perceived as having more risks. Our research found that perceived risk decreased behavioral intentions. Perceived usefulness served as a mediator between trust and behavioral intentions, significantly increasing both relationships. Trust was found to decrease perceived risk; however, it directly increased behavioral intention, perceived usefulness, and perceived ease of use. Interestingly, perceived ease of use did not significantly affect behavioral intentions. This leads to the finding that perceived usefulness may be a greater contributing factor than perceived ease of use in behavioral intention for personal cloud computing. In this research study we offer an interesting perspective on the acceptance of personal cloud computing and explore individual user acceptance of cloud computing

A Study of Personal Cloud Computing: Compatibility, Social Influence, and Moderating Role of Perceived Familiarity

Building on a research framework based on the Theory of Reasoned Action (TRA), Innovation Diffusion Technology (IDT), and the Technology Adoption Model (TAM), we propose a model integrating compatibility, social influence, and perceived familiarity given the implicit uncertainty of personal cloud. Our model emphasizes the moderating effect of perceived familiarity on the relationships between both perceived compatibility and social influence on behavioral intention. PLS-based structural equation modeling is employed to test the related propositions empirically. Results from a survey, involving 265 university students, reveal that perceived compatibility explains a larger proportion of the variance in behavioral intention; perceived familiarity plays a significant role in moderating the impact of perceived compatibility and social influence on intention to adopt personal cloud. Managerial and theoretical implications are discussed

Intended Continued Use Social Networking Sites: Effects on Job Satisfaction and Performance

Hedonic information systems are those that are used primarily for pleasure. Previous research has established that the intention to use hedonic information systems is explained mainly by perceived ease of use and perceived enjoyment, with perceived usefulness to one’s job being given less importance. Facebook could be seen as a hedonic information system. This paper employs a cross-sectional survey of 178 professionals who used Facebook to various degrees. Predictably, the authors’ empirical results show that perceived enjoyment is indeed a much stronger determinant of intended continued Facebook use than ease of use or usefulness to one’s job, explaining a considerable proportion of variance in continued use behavior. The authors also find that ease of use is a strong determinant of perceived enjoyment. Interestingly, their results suggest that intended continued Facebook use is significantly and positively associated with job performance, both directly and indirectly via job satisfaction

Mental Health and Information Technology Catalysts as Determinants of Innovative Work Behavior

Interpersonal interactions, such as impromptu face-to-face workplace conversations, facilitate knowledge transfer and spur innovation within individual work roles; however, the move to remote work during the COVID-19 pandemic disrupted these dynamics. This research examines how innovation can be maintained in remote work settings by considering Information Technology (IT) catalysts (a combination of IT mindfulness, IT identity, and IT empowerment) during disruptive events and crises. We also highlight the importance of remote workers’ mental health and coping as precursors for IT catalysts to stimulate innovative work behaviors. Our paper contributes to information systems (IS) theory by establishing remote workers’ mental health and coping as distal factors of innovation and precursors to IT catalysts. In addition, we extend IS theory by establishing the relationships among the IT catalyst factors as well as their impact on innovative work behaviors. Our research provides insights for organizations interested in sustaining innovation, especially during crises or other stress-inducing events or conditions

買主ノ物品受取ノ義務ヲ論ズ

Markets are central to modern society, so their failures can be devastating. Here, we examine a prominent failure: price bubbles. Bubbles emerge when traders err collectively in pricing, causing misfit between market prices and the true values of assets. The causes of such collective errors remain elusive. We propose that bubbles are affected by ethnic homogeneity in the market and can be thwarted by diversity. In homogenous markets, traders place undue confidence in the decisions of others. Less likely to scrutinize others’ decisions, traders are more likely to accept prices that deviate from true values. To test this, we constructed experimental markets in Southeast Asia and North America, where participants traded stocks to earn money. We randomly assigned participants to ethnically homogeneous or diverse markets. We find a marked difference: Across markets and locations, market prices fit true values 58% better in diverse markets. The effect is similar across sites, despite sizeable differences in culture and ethnic composition. Specifically, in homogenous markets, overpricing is higher as traders are more likely to accept speculative prices. Their pricing errors are more correlated than in diverse markets. In addition, when bubbles burst, homogenous markets crash more severely. The findings suggest that price bubbles arise not only from individual errors or financial conditions, but also from the social context of decision making. The evidence may inform public discussion on ethnic diversity: it may be beneficial not only for providing variety in perspectives and skills, but also because diversity facilitates friction that enhances deliberation and upends conformity