Damon E. Campbell

The Effect of Perceived Novelty on the Adoption of Information Technology Innovations: A Risk/Reward Perspective

A fundamental characteristic of any innovation is its novelty, the newness or freshness of the innovation in the eyes of the adopter. Past research has often considered novelty to be inherent to an information technology (IT) innovation, yet it is also likely that perceptions of novelty differ widely across individuals. Nevertheless, the role that the novelty of an IT innovation plays in adoption is not well understood. The primary goal of this research effort is to frame the perceived novelty of an IT innovation as a salient affective belief in the nomological network related to adoption. Further, we examine how perceived novelty influences the way individuals reconcile their perceptions of risk versus reward when considering the adoption of an IT innovation. Two empirical studies with 424 and 138 participants, respectively, examine the effect of perceived novelty on IT innovations from a risk/reward perspective. Results indicate that perceived novelty is a salient affective belief that plays a significant role in the adoption of IT innovations. Implications for both theory and organizational decision making are examined.

Breaking the Ice in B2C Relationships: Understanding Pre-Adoption E-Commerce Attraction

This research proposes that the forming of a business-to-consumer (B2C) customer relationship is part of a multiphased technology adoption process where attraction is the first step in this sequence. A conceptual model, called the electronic commerce (e-commerce) attraction model (eCAM), offers a theoretical foundation for guiding two empirical studies (N = 345 and N = 240, respectively) investigating how initial customer perceptions of a website influence attraction toward this website. The results support the eCAM as a new theoretical lens for understanding electronic commerce-based attraction. Comparisons are made between the proposed eCAM and previously established adoption models (i.e., the Technology Acceptance Model and WebQual) as well as the discriminant validity of the constructs in these models. Results demonstrate that the eCAM provides additional insights for understanding how website design influences e-commerce attraction and adoption. The implications of these results for future research a...

Using Information Systems to Sense Opportunities for Innovation: Integrating Postadoptive Use Behaviors with the Dynamic Managerial Capability Perspective

Abstract Fast-paced environmental changes require that managers quickly sense opportunities for organizational innovation. Information systems (IS) that support business intelligence and analytics help managers access and analyze data from various sources, thereby providing insight into potential opportunities. Building on the dynamic managerial capability perspective, we investigate the extent to which two managerial IS use behaviors—routine use and innovative use—influence a manager’s volume and diversity of ideas for organizational innovation. We also examine the moderating role of three organization-level entrepreneurial orientation characteristics—autonomy, innovativeness, and risk taking. We test our research model with survey data collected from 248 managers. Our results show that routine IS use is not related to volume or diversity of ideas for organizational innovation. However, innovative IS use is positively related to idea volume and idea diversity. Furthermore, organizational autonomy and innovativeness positively moderate the aforementioned innovative use/idea relationships. Our study contributes to the literature by linking postadoptive IS use behaviors to managerial sensing ability, an important dynamic managerial capability. We also further the understanding of how organizational factors such as entrepreneurial orientation play a key role in determining whether, when, and how managers use IS to develop ideas for organizational innovation.

What Are Your Intentions: An Empirical Analysis of the Distinction between Behavioral Intentions and Behavioral Goals?

This study analyzes the distinction, both conceptually and operationally, between behavioral intentions and behavioral goals. This paper recognizes the importance of time orientation in the measurement of behavioral intentions as defined by Fishbein and Ajzen [1]. Literature is reviewed that shows this conceptual definition is often misused in information systems (IS) research because behavioral intention is sometimes operationalized with a long-term time orientation (i.e., continued use). This paper offers an empirical assessment of the discriminant validity between behavioral intentions and behavioral goals. Theoretical implications are that long-term oriented behavioral intentions actually represents behavioral goals and thus have less conceptual implications for predicting actual behavior.