This paper reports on the development of an instrument designed to measure the various perceptions that an individual may have of adopting an information technology (IT) innovation. This instrument is intended to be a tool for the study of the initial adoption and eventual diffusion of IT innovations within organizations. While the adoption of information technologies by individuals and organizations has been an area of substantial research interest since the early days of computerization, research efforts to date have led to mixed and inconclusive outcomes. The lack of a theoretical foundation for such research and inadequate definition and measurement of constructs have been identified as major causes for such outcomes. In a recent study examining the diffusion of new end-user IT, we decided to focus on measuring the potential adopters' perceptions of the technology. Measuring such perceptions has been termed a “classic issue” in the innovation diffusion literature, and a key to integrating the various findings of diffusion research. The perceptions of adopting were initially based on the five characteristics of innovations derived by Rogers (1983) from the diffusion of innovations literature, plus two developed specifically within this study. Of the existing scales for measuring these characteristics, very few had the requisite levels of validity and reliability. For this study, both newly created and existing items were placed in a common pool and subjected to four rounds of sorting by judges to establish which items should be in the various scales. The objective was to verify the convergent and discriminant validity of the scales by examining how the items were sorted into various construct categories. Analysis of inter-judge agreement about item placement identified both bad items as well as weaknesses in some of the constructs' original definitions. These were subsequently redefined. Scales for the resulting constructs were subjected to three separate field tests. Following the final test, the scales all demonstrated acceptable levels of reliability. Their validity was further checked using factor analysis, as well as conducting discriminant analysis comparing responses between adopters and nonadopters of the innovation. The result is a parsimonious, 38-item instrument comprising eight scales which provides a useful tool for the study of the initial adoption and diffusion of innovations. A short, 25 item, version of the instrument is also suggested.

The field of information systems is premised on the centrality of information technology in everyday socio-economic life. Yet, drawing on a review of the full set of articles published in Information Systems Research (ISR) over the past ten years, we argue that the field has not deeply engaged its core subject matter—the information technology (IT) artifact. Instead, we find that IS researchers tend to give central theoretical significance to the context (within which some usually unspecified technology is seen to operate), the discrete processing capabilities of the artifact (as separable from its context or use), or the dependent variable (that which is posited to be affected or changed as technology is developed, implemented, and used). The IT artifact itself tends to disappear from view, be taken for granted, or is presumed to be unproblematic once it is built and installed. After discussing the implications of our findings, we propose a research direction for the IS field that begins to take technology as seriously as its effects, context, and capabilities. In particular, we propose that IS researchers begin to theorize specifically about IT artifacts, and then incorporate these theories explicitly into their studies. We believe that such a research direction is critical if IS research is to make a significant contribution to the understanding of a world increasingly suffused with ubiquitous, interdependent, and emergent information technologies.

The Internet has provided IS researchers with the opportunity to conduct studies with extremely large samples, frequently well over 10,000 observations. There are many advantages to large samples, but researchers using statistical inference must be aware of the p-value problem associated with them. In very large samples, p-values go quickly to zero, and solely relying on p-values can lead the researcher to claim support for results of no practical significance. In a survey of large sample IS research, we found that a significant number of papers rely on a low p-value and the sign of a regression coefficient alone to support their hypotheses. This research commentary recommends a series of actions the researcher can take to mitigate the p-value problem in large samples and illustrates them with an example of over 300,000 camera sales on eBay. We believe that addressing the p-value problem will increase the credibility of large sample IS research as well as provide more insights for readers.

Organizations are setting up online forums to obtain inputs and feedback from key stakeholders, such as employees, customers, and citizens. Examples of such virtual spaces are online policy deliberation forums (OPDFs) initiated by government organizations to garner citizens’ views on policy issues. Incorporating the inputs from these forums can result in more inclusive policies for societal benefit. Yet, as with other such forums, a common issue facing OPDFs is the sustainability of participation. When examining this issue, previous research has mostly explored the participation antecedents of existing contributors. However, engaging lurkers is also important, because these forums need to compensate for contributor attrition and become more effective with greater reach. Thus motivated, this study develops a model to explain the antecedents of both contributors’ and lurkers’ participation deriving from public participation and information technology-enabled public goods theories. It hypothesizes differences in the antecedents for contributors versus lurkers based primarily on construal level theory. The model was empirically validated through a survey of contributors and lurkers in a nationwide OPDF. The results reveal significant differences in the participation antecedents of the two groups as hypothesized. Specifically, contributors are influenced by political career benefit and political efficacy motives, whereas lurkers’ future participation intention is driven by collective benefits, possession of civic skills, and mobilization. Furthermore, perceived connectivity of the OPDF directly influences participation intention for contributors and indirectly impacts participation intention for both groups via perceived communality. Perceived communality, on the other hand, influences collective and persuasion benefits for both contributors and lurkers. These findings are useful for understanding and promoting participation through differential strategies for contributors and lurkers in OPDFs in particular, and by extension, other feedback or online forums.

Privacy is of prime importance to many individuals when they attempt to develop online social relationships. Nonetheless, it has been observed that individuals' behavior is at times inconsistent with their privacy concerns, e.g., they disclose substantial private information in synchronous online social interactions, even though they are aware of the risks involved. Drawing on the hyperpersonal framework and the privacy calculus perspective, this paper elucidates the interesting roles of privacy concerns and social rewards in synchronous online social interactions by examining the causes and the behavioral strategies that individuals utilize to protect their privacy. An empirical study involving 251 respondents was conducted in online chat rooms. Our results indicate that individuals utilize both self-disclosure and misrepresentation to protect their privacy and that social rewards help explain why individuals may not behave in accordance with their privacy concerns. In addition, we find that perceived anonymity of others and perceived intrusiveness affect both privacy concerns and social rewards. Our findings also suggest that higher perceived anonymity of self decreases individuals' privacy concerns, and higher perceived media richness increases social rewards. Generally, this study contributes to the information systems literature by integrating the hyperpersonal framework and the privacy calculus perspective to identify antecedents of privacy trade-off and predict individuals' behavior in synchronous online social interactions.

The digital divide has loomed as a public policy issue for over a decade. Yet, a theoretical account for the effects of the digital divide is currently lacking. This study examines three levels of the digital divide. The digital access divide (the first-level digital divide) is the inequality of access to information technology (IT) in homes and schools. The digital capability divide (the second-level digital divide) is the inequality of the capability to exploit IT arising from the first-level digital divide and other contextual factors. The digital outcome divide (the third-level digital divide) is the inequality of outcomes (e.g., learning and productivity) of exploiting IT arising from the second-level digital divide and other contextual factors. Drawing on social cognitive theory and computer self-efficacy literature, we developed a model to show how the digital access divide affects the digital capability divide and the digital outcome divide among students. The digital access divide focuses on computer ownership and usage in homes and schools. The digital capability divide and the digital outcome divide focus on computer self-efficacy and learning outcomes, respectively. This model was tested using data collected from over 4,000 students in Singapore. The results generate insights into the relationships among the three levels of the digital divide and provide a theoretical account for the effects of the digital divide. While school computing environments help to increase computer self-efficacy for all students, these factors do not eliminate knowledge the gap between students with and without home computers. Implications for theory and practice are discussed.

Research Spotlight A natural disaster may result in a situation where lenders can hardly find appropriate loans from the disaster-affected region. When faced with the mismatch between the supply and demand of microloans, lenders can either simply choose not to make any contributions or divert their prosocial intentions towards a different group of beneficiaries. Using a natural experiment based on the Ebola outbreak in Africa in 2014, our research shows that a natural disaster increases (over the short-term) the average contribution size and decreases (over the long-term) the average fundraising time per dollar for prosocial microloans by borrowers from regions closer to the affected region. In contrast, a natural disaster decreases (over the long-term) the average contribution size and increases (over the long-term) the average fundraising time per dollar for prosocial microloans by borrowers from regions farther away from the affected region. This redistribution of prosocial microlending is an unintended consequence of a natural disaster that inflicts long-term economic hardship in some regions. Policymakers and researchers should closely monitor the redistribution of prosocial microlending resulting from a natural disaster so that prompt action can be taken to alleviate potential negative consequences that may arise.

This editorial introduces a conceptual framework that reimagines research on Information and Communication Technologies for Development (ICT4D) as “digital development,” recognizing the inseparable intertwining of digital and development trajectories. This framing is aimed at the broader information systems (IS) research community, which includes ICT4D researchers, based both in the Global South and the Global North. Digital development encompasses three dimensions: digital in development (institutional use), digital for development (conscious design for outcomes), and development in a digital world (digital entanglement in development practice.). We argue that this reimagination is necessary for three reasons. First, digital technologies are becoming increasingly entangled with many development initiatives, implying the need to be studied as a duality, not a dualism. Second, we are witnessing the rising complexity of contemporary and emergent development challenges, which are not just limited to the Global South, but to the world at large. Third, the IS and ICT4D research fields have long worked in relative isolation from each other, but they need to synergistically create new theories and methods to address the rising complexities inherent in the “digital” and “development.” We provide a brief overview of the existing ICT4D field to identify critical areas for reconceptualization and expansion. This is then illustrated by examples from four empirical domains, namely humanitarian governance, global health, financial inclusion, and digital nomadism, which are representative of contemporary and emerging digital development challenges. This leads to the development of theoretical, policy and practice, and methodological implications, which provide a basis to formulate a research agenda for digital development.