This paper extends the unified theory of acceptance and use of technology (UTAUT) to study acceptance and use of technology in a consumer context. Our proposed UTAUT2 incorporates three constructs into UTAUT: hedonic motivation, price value, and habit. Individual differences--namely, age, gender, and experience--are hypothesized to moderate the effects of these constructs on behavioral intention and technology use. Results from a two-stage online survey, with technology use data collected four months after the first survey, of 1,512 mobile Internet consumers supported our model. Compared to UTAUT, the extensions proposed in UTAUT2 produced a substantial improvement in the variance explained in behavioral intention (56 percent to 74 percent) and technology use (40 percent to 52 percent). The theoretical and managerial implications of these results are discussed.

/pdf/consumer-acceptance-and-use-of-information-technology-4i09z552kr.pdf

Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology

Prior research has provided valuable insights into how and why employees make a decision about the adoption and use of information technologies (ITs) in the workplace. From an organizational point of view, however, the more important issue is how managers make informed decisions about interventions that can lead to greater acceptance and effective utilization of IT. There is limited research in the IT implementation literature that deals with the role of interventions to aid such managerial decision making. Particularly, there is a need to understand how various interventions can influence the known determinants of IT adoption and use. To address this gap in the literature, we draw from the vast body of research on the technology acceptance model (TAM), particularly the work on the determinants of perceived usefulness and perceived ease of use, and: (i) develop a comprehensive nomological network (integrated model) of the determinants of individual level (IT) adoption and use; (ii) empirically test the proposed integrated model; and (iii) present a research agenda focused on potential pre- and postimplementation interventions that can enhance employees' adoption and use of IT. Our findings and research agenda have important implications for managerial decision making on IT implementation in organizations.

/pdf/technology-acceptance-model-3-and-a-research-agenda-on-3xnjvztlvt.pdf

Technology Acceptance Model 3 and a Research Agenda on Interventions

This paper extends the unified theory of acceptance and use of technology (UTAUT) to study acceptance and use of technology in a consumer context. Our proposed UTAUT2 incorporates three constructs into UTAUT: hedonic motivation, price value, and habit. Individual differences — namely, age, gender, and experience — are hypothesized to moderate the effects of these constructs on behavioral intention and technology use. Results from a two-stage online survey, with technology use data collected four months after the first survey, of 1,512 mobile Internet consumers supported our model. Compared to UTAUT, the extensions proposed in UTAUT2 produced a substantial improvement in the variance explained in behavioral intention (56 percent to 74 percent) and technology use (40 percent to 52 percent). The theoretical and managerial implications of these results are discussed.

https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID2002388_code662786.pdf?abstractid=2002388&type=2

Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology

While researchers go to great lengths to justify and prove theoretical links between constructs, the relationship between measurement items and constructs is often ignored. By default, the relationship between construct and item is assumed to be reflective, meaning that the measurement items are a reflection of the construct. Many times, though, the nature of the construct is not reflective, but rather formative. Formative constructs occur when the items describe and define the construct rather than vice versa.

In this research, we examine whether formative constructs are indeed being mistaken for reflective constructs by information systems researchers. By examining complete volumes of MIS Quarterly and Information Systems Research over the last 3 years, we discovered that a significant number of articles have indeed misspecified formative constructs. For scientific results to be valid, we argue that researchers must properly specify formative constructs. This paper discusses the implications of different patterns of common misspecifications of formative constructs on both Type I and Type II errors. To avoid these errors, the paper provides a roadmap to researchers to properly specify formative constructs. We also discuss how to address formative constructs within a research model after they are specified.

/pdf/specifying-formative-constructs-in-information-systems-1bdpzwab2g.pdf

Specifying formative constructs in information systems research

JIBS receives many manuscripts that report findings from analyzing survey data based on same-respondent replies. This can be problematic since same-respondent studies can suffer from common method variance (CMV). Currently, authors who submit manuscripts to JIBS that appear to suffer from CMV are asked to perform validity checks and resubmit their manuscripts. This letter from the Editors is designed to outline the current state of best practice for handling CMV in international business research.

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From the Editors: Common method variance in international business research

The lack of consumer confidence in information privacy has been identified as a major problem hampering the growth of e-commerce. Despite the importance of understanding the nature of online consumers' concerns for information privacy, this topic has received little attention in the information systems community. To fill the gap in the literature, this article focuses on three distinct, yet closely related, issues. First, drawing on social contract theory, we offer a theoretical framework on the dimensionality of Internet users' information privacy concerns (IUIPC). Second, we attempt to operationalize the multidimensional notion of IUIPC using a second-order construct, and we develop a scale for it. Third, we propose and test a causal model on the relationship between IUIPC and behavioral intention toward releasing personal information at the request of a marketer. We conducted two separate field surveys and collected data from 742 household respondents in one-on-one, face-to-face interviews. The results of this study indicate that the second-order IUIPC factor, which consists of three first-order dimensions--namely, collection, control, and awareness--exhibited desirable psychometric properties in the context of online privacy. In addition, we found that the causal model centering on IUIPC fits the data satisfactorily and explains a large amount of variance in behavioral intention, suggesting that the proposed model will serve as a useful tool for analyzing online consumers' reactions to various privacy threats on the Internet.

Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model

Despite recurring concerns about common method variance (CMV) in survey research, the information systems (IS) community remains largely uncertain of the extent of such potential biases. To address this uncertainty, this paper attempts to systematically examine the impact of CMV on the inferences drawn from survey research in the IS area. First, we describe the available approaches for assessing CMV and conduct an empirical study to compare them. From an actual survey involving 227 respondents, we find that although CMV is present in the research areas examined, such biases are not substantial. The results also suggest that few differences exist between the relatively new marker-variable technique and other well-established conventional tools in terms of their ability to detect CMV. Accordingly, the marker-variable technique was employed to infer the effect of CMV on correlations from previously published studies. Our findings, based on the reanalysis of 216 correlations, suggest that the inflated correlation caused by CMV may be expected to be on the order of 0.10 or less, and most of the originally significant correlations remain significant even after controlling for CMV. Finally, by extending the marker-variable technique, we examined the effect of CMV on structural relationships in past literature. Our reanalysis reveals that contrary to the concerns of some skeptics, CMV-adjusted structural relationships not only remain largely significant but also are not statistically differentiable from uncorrected estimates. In summary, this comprehensive and systematic analysis offers initial evidence that (1) the marker-variable technique can serve as a convenient, yet effective, tool for accounting for CMV, and (2) common method biases in the IS domain are not as serious as those found in other disciplines.

Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research

Although initial use is an important indicator of information system (IS) success, it does not necessarily lead to the desired managerial outcome unless the use continues. However, compared with the great amount of work done on IS adoption, little systematic effort has gone into providing insight into continued IS use over time. The objective of this study is to develop a longitudinal model of how users' evaluations and behavior evolve as they gain experience with the information technology application. The proposed model is a unified framework that sheds light on four different mechanisms underlying postadoption phenomena: (1) the processes suggested by the technology acceptance model; (2) sequential updating mechanisms; (3) feedback mechanisms; and (4) repeated behavioral patterns. The proposed model was empirically tested in the context of Web-based IS use in a nonexperimental setting. Our findings suggest that, as hypothesized, each of the four theoretical viewpoints is essential for a deeper understanding of continued IS use. We discuss important findings that emerged from this longitudinal study and suggest directions for additional research.

https://pubsonline.informs.org/doi/suppl/10.1287/mnsc.1040.0326/suppl_file/mnsc.1040.0326-sm-kim_malhotra_extended_5_05.pdf

A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena

Although Internet users are expected to respond in various ways to privacy threats from online companies, little attention has been paid so far to the complex nature of how users respond to these threats. This paper has two specific goals in its effort to fill this gap in the literature. The first, so that these outcomes can be systematically investigated, is to develop a taxonomy of information privacy-protective responses (IPPR). This taxonomy consists of six types of behavioral responses-refusal, misrepresentation, removal, negative word-of-mouth, complaining directly to online companies, and complaining indirectly to third-party organizations-that are classified into three categories: information provision, private action, and public action. Our second goal is to develop a nomological model with several salient antecedents-concerns for information privacy, perceived justice, and societal benefits from complaining-of IPPR, and to show how the antecedents differentially affect the six types of IPPR. The nomological model is tested with data collected from 523 Internet users. The results indicate that some discernible patterns emerge in the relationships between the antecedents and the three groups of IPPR. These patterns enable researchers to better understand why a certain type of IPPR is similar to or distinct from other types of IPPR. Such an understanding could enable researchers to analyze a variety of behavioral responses to information privacy threats in a fairly systematic manner. Overall, this paper contributes to researchers' theory-building efforts in the area of information privacy by breaking new ground for the study of individuals' responses to information privacy threats.

https://www.jstor.org/stable/pdf/25148854.pdf

Internet users' information privacy-protective responses: a taxonomy and a nomological model

Sustained website traffic through consumers' patronage at the post-adoption stages is known as a key to the survival of an online service provider. Although a firm's survival depends much on repeated use, whether or not a firm survives is also influenced by a variety of other behavioral outcomes that include, but are not limited to, word-of-mouth, willingness to pay, and inattentiveness to alternatives. Whereas post-adoption research has recently paid attention to repeated use, the information systems field still lacks a systematic investiation into other behavioral outcomes that transcend mere usage. In an attempt to extend the horizons of post-adoption research, we develop and test a model that explains post-adoption behaviors in the context of online services. First, drawing on a dual model of relationship maintenance in consumer behavior research, we propose a conceptual framework to study and explain online consumer behavior. In particular, our model predicts that two contrasting mechanisms, that is, dedication and constraint, are the main drivers of post-adoption phenomena (i.e., consumers' post-adoption reactions to online services-beliefs, attitudes, intentions, and behaviors). We empirically test the proposed dual model through the use of data collected from 510 users of online portals. The results of structural equation modeling analysis indicate that, as expected, the dedication- and constraint-based mechanisms simultaneously, yet differentially, determine online consumer behavior. In general, our findings suggest that it is essential in examining the complex nature of post-adoption phenomena to take into account the interplay of the dedication- and constraint-based mechanisms.

Sung S. Kim

Papers

Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model

Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research

A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena

Internet users' information privacy-protective responses: a taxonomy and a nomological model

Out of dedication or constraint? a dual model of post-adoption phenomena and its empirical test in the context of online services