Showing papers in "Management Information Systems Quarterly in 2013"

Positioning and presenting design science research for maximum impact

Abstract: Design science research (DSR) has staked its rightful ground as an important and legitimate Information Systems (IS) research paradigm We contend that DSR has yet to attain its full potential impact on the development and use of information systems due to gaps in the understanding and application of DSR concepts and methods This essay aims to help researchers (1) appreciate the levels of artifact abstractions that may be DSR contributions, (2) identify appropriate ways of consuming and producing knowledge when they are preparing journal articles or other scholarly works, (3) understand and position the knowledge contributions of their research projects, and (4) structure a DSR article so that it emphasizes significant contributions to the knowledge base Our focal contribution is the DSR knowledge contribution framework with two dimensions based on the existing state of knowledge in both the problem and solution domains for the research opportunity under study In addition, we propose a DSR communication schema with similarities to more conventional publication patterns, but which substitutes the description of the DSR artifact in place of a traditional results section We evaluate the DSR contribution framework and the DSR communication schema via examinations of DSR exemplar publications

Digital business strategy: toward a next generation of insights

Abstract: Over the last three decades, the prevailing view of information technology strategy has been that it is a functional-level strategy that must be aligned with the firm's chosen business strategy. Even within this so-called alignment view, business strategy directed IT strategy. During the last decade, the business infrastructure has become digital with increased interconnections among products, processes, and services. Across many firms spanning different industries and sectors, digital technologies (viewed as combinations of information, computing, communication, and connectivity technologies) are fundamentally transforming business strategies, business processes, firm capabilities, products and services, and key interfirm relationships in extended business networks. Accordingly, we argue that the time is right to rethink the role of IT strategy, from that of a functional-level strategy--aligned but essentially always subordinate to business strategy--to one that reflects a fusion between IT strategy and business strategy. This fusion is herein termed digital business strategy. We identify four key themes to guide our thinking on digital business strategy and help provide a framework to define the next generation of insights. The four themes are (1) the scope of digital business strategy, (2) the scale of digital business strategy, (3) the speed of digital business strategy, and (4) the sources of business value creation and capture in digital business strategy. After elaborating on each of these four themes, we discuss the success metrics and potential performance implications from pursuing a digital business strategy. We also show how the papers in the special issue shed light on digital strategies and offer directions to advance insights and shape future research.

Bridging the qualitative-quantitative divide: guidelines for conducting mixed methods research in information systems

Abstract: Mixed methods research is an approach that combines quantitative and qualitative research methods in the same research inquiry. Such work can help develop rich insights into various phenomena of interest that cannot be fully understood using only a quantitative or a qualitative method. Notwithstanding the benefits and repeated calls for such work, there is a dearth of mixed methods research in information systems. Building on the literature on recent methodological advances in mixed methods research, we develop a set of guidelines for conducting mixed methods research in IS. We particularly elaborate on three important aspects of conducting mixed methods research: (1) appropriateness of a mixed methods approach; (2) development of meta-inferences (i.e., substantive theory) from mixed methods research; and (3) assessment of the quality of meta-inferences (i.e., validation of mixed methods research). The applicability of these guidelines is illustrated using two published IS papers that used mixed methods.

The generative mechanisms of digital infrastructure evolution

Abstract: The current literature on digital infrastructure offers powerful lenses for conceptualizing the increasingly interconnected information system collectives found in contemporary organizations. However, little attention has been paid to the generative mechanisms of digital infrastructure, that is, the causal powers that explain how and why such infrastructure evolves over time. This is unfortunate, since more knowledge about what drives digital infrastructures would be highly valuable for managers and IT professionals confronted by the complexity of managing them. To this end, this paper adopts a critical realist view for developing a configurational perspective of infrastructure evolution. Our theorizing draws on a multimethod research design comprising an in-depth case study and a case survey. The in-depth case study, conducted at a Scandinavian airline, distinguishes three key mechanisms of digital infrastructure evolution: adoption, innovation, and scaling. The case survey research of 41 cases of digital infrastructure then identifies and analyzes causal paths through which configurations of these mechanisms lead to successful evolution outcomes. The study reported in this paper contributes to the infrastructure literature in two ways. First, we identify three generative mechanisms of digital infrastructure and how they contingently lead to evolution outcomes. Second, we use these mechanisms as a basis for developing a configurational perspective that advances current knowledge about why some digital infrastructures evolve successfully while others do not. In addition, the paper demonstrates and discusses the efficacy of critical realism as a philosophical tradition for developing substantive contributions in the field of information systems.

The ambivalent ontology of digital artifacts

Abstract: Digital artifacts are embedded in wider and constantly shifting ecosystems such that they become increasingly editable, interactive, reprogrammable, and distributable. This state of flux and constant transfiguration renders the value and utility of these artifacts contingent on shifting webs of functional relations with other artifacts across specific contexts and organizations. By the same token, it apportions control over the development and use of these artifacts over a range of dispersed stakeholders and makes their management a complex technical and social undertaking. These ideas are illustrated with reference to (1) provenance and authenticity of digital documents within the overall context of archiving and social memory and (2) the content dynamics occasioned by the findability of content mediated by Internet search engines. We conclude that the steady change and transfiguration of digital artifacts signal a shift of epochal dimensions that calls for rethinking some of the inherited wisdom in IS research and practice.

Community intelligence and social media services: a rumor theoretic analysis of tweets during social crises

Abstract: Recent extreme events show that Twitter, a micro-blogging service, is emerging as the dominant social reporting tool to spread information on social crises. It is elevating the online public community to the status of first responders who can collectively cope with social crises. However, at the same time, many warnings have been raised about the reliability of community intelligence obtained through social reporting by the amateur online community. Using rumor theory, this paper studies citizen-driven information processing through Twitter services using data from three social crises: the Mumbai terrorist attacks in 2008, the Toyota recall in 2010, and the Seattle cafe shooting incident in 2012. We approach social crises as communal efforts for community intelligence gathering and collective information processing to cope with and adapt to uncertain external situations. We explore two issues: (1) collective social reporting as an information processing mechanism to address crisis problems and gather community intelligence, and (2) the degeneration of social reporting into collective rumor mills. Our analysis reveals that information with no clear source provided was the most important, personal involvement next in importance, and anxiety the least yet still important rumor causing factor on Twitter under social crisis situations.

Beyond deterrence: an expanded view of employee computer abuse

Abstract: Recent academic investigations of computer security policy violations have largely focused on nonmalicious noncompliance due to poor training, low employee motivation, weak affective commitment, or individual oversight. Established theoretical foundations applied to this domain have related to protection motivation, deterrence, planned behavior, self-efficacy, individual adoption factors, organizational commitment, and other individual cognitive factors. But another class of violation demands greater research emphasis: the intentional commission of computer security policy violation, or insider computer abuse. Whether motivated by greed, disgruntlement, or other psychological processes, this act has the greatest potential for loss and damage to the employer. We argue the focus must include not only the act and its immediate antecedents of intention (to commit computer abuse) and deterrence (of the crime), but also phenomena which temporally precede these areas. Specifically, we assert the need to consider the thought processes of the potential offender and how these are influenced by the organizational context, prior to deterrence. We believe the interplay between thought processes and this context may significantly impact the efficacy of IS security controls, specifically deterrence safeguards. Through this focus, we extend the Straub and Welke (1998) security action cycle framework and propose three areas worthy of empirical investigation--techniques of neutralization (rationalization), expressive/instrumental criminal motivations, and disgruntlement as a result of perceptions of organizational injustice--and propose questions for future research in these areas.

Critical realism and affordances: theorizing IT-associated organizational change processes

Abstract: Convincing arguments for using critical realism as an underpinning for theories of IT-associated organizational change have appeared in the Information Systems literature A central task in developing such theories is to uncover the generative mechanisms by which IT is implicated in organizational change processes, but to do so, we must explain how critical realism's concept of generative mechanisms applies in an IS context Similarly, convincing arguments have been made for using Gibson's (1986) affordance theory from ecological psychology for developing theories of IT-associated organizational change, but this effort has been hampered due to insufficient attention to the ontological status of affordances In this paper, we argue that affordances are the generative mechanisms we need to specify and explain how affordances are a specific type of generative mechanism We use the core principles of critical realism to argue how affordances arise in the real domain from the relation between the complex assemblages of organizations and of IT artifacts, how affordances are actualized over time by organizational actors, and how these actualizations lead to the various effects we observe in the empirical domain After presenting these arguments, we reanalyze two published cases in the literature, those of ACRO and Autoworks, to illustrate how affordance-based theories informed by critical realism enhance our ability to explain IT-associated organizational change These examples show how researchers using this approach should proceed, and how managers can use these ideas to diagnose and address IT implementation problems

Leveraging digital technologies: how information quality leads to localized capabilities and customer service performance

Abstract: With the growing recognition of the customer's role in service creation and delivery, there is an increased impetus on building customer-centric organizations. Digital technologies play a key role in such organizations. Prior research studying digital business strategies has largely focused on building production-side competencies and there has been little focus on customer-side digital business strategies to leverage these technologies. We propose a theory to understand the effectiveness of a customer-side digital business strategy focused on localized dynamics--here, a firm's customer service units (CSUs). Specifically, we use a capabilities perspective to propose digital design as an antecedent to two customer service capabilities--namely, customer orientation capability and customer response capability--across a firm's CSUs. These two capabilities will help a firm to locally sense and respond to customer needs, respectively. Information quality from the digital design of the CSU is proposed as the antecedent to the two capabilities. Proposed capability-building dynamics are tested using data collected from multiple respondents across 170 branches of a large bank. Findings suggest that the impacts of information quality in capability-building are contingent on the local process characteristics. We offer implications for a firm's customer-side digital business strategy and present new areas for future examination of such strategies.

Methodological implications of critical realism for mixed-methods research

Abstract: Building on recent developments in mixed methods, we discuss the methodological implications of critical realism and explore how these can guide dynamic mixed-methods research design in information systems. Specifically, we examine the core ontological assumptions of CR in order to gain some perspective on key epistemological issues such as causation and validity, and illustrate how these shape our logic of inference in the research process through what is known as retroduction. We demonstrate the value of a CR-led mixed-methods research approach by drawing on a study that examines the impact of ICT adoption in the financial services sector. In doing so, we provide insight into the interplay between qualitative and quantitative methods and the particular value of applying mixed methods guided by CR methodological principles. Our positioning of demi-regularities within the process of retroduction contributes a distinctive development in this regard. We argue that such a research design enables us to better address issues of validity and the development of more robust meta-inferences.

Sensemaking and sustainable practicing: functional affordances of information systems in green transformations

Abstract: This paper explores how a world-wide operating software solutions provider implemented environmentally sustainable business practices in response to emerging environmental concerns Through an interpretive case study, we develop a theoretical framework that identifies four important functional affordances originating in information systems, which are required in environmental sustainability transformations as they create an actionable context in which (1) organizations can engage in a sensemaking process related to understanding emerging environmental requirements, and (2) individuals can implement environmentally sustainable work practices Through our work, we provide several contributions, including a better understanding of IS-enabled organizational change and the types of functional affordances of information systems that are required in sustainability transformations We describe implications relating to (1) how information systems can contribute to the creation of environmentally sustainable organizations, (2) the design of information systems to create required functional affordances, (3) the management of sustainability transformations, and (4) the further development of the concept of functional affordances in IS research

How a firm's competitive environment and digital strategic posture influence digital business strategy

Abstract: In this paper, we examine how the competitive industry environment shapes the way that digital strategic posture (defined as a focal firm's degree of engagement in a particular class of digital business practices relative to the industry norm) influences firms' realized digital business strategy. We focus on two forms of digital strategy: general IT investment and IT outsourcing investment. Drawing from prior literature on determinants of IT activity and competitive dynamics, we argue that three elements of the industry environment determine whether digital strategic posture has an increasingly convergent or divergent influence on digital business strategy. By divergent influence, we mean an influence that leads to spending substantially more or less on a particular strategic activity than industry norms. We predict that a digital strategic posture (difference from the industry mean) has an increasingly divergent effect on digital business strategy under higher industry turbulence, while having an increasingly convergent effect on digital business strategy under higher industry concentration and higher industry growth. The study uses archival data for 400 U.S.-based firms from 1999 to 2006. Our findings imply that digital business strategy is not solely a matter of optimizing firm operations internally or of responding to one or two focal competitors, but also arises strikingly from awareness and responsiveness to the digital business competitive environment. Collectively, the findings provide insights on how strategic posture and industry environment influence firms' digital business strategy.

Integrating service quality with system and information quality: an empirical test in the e-service context

Abstract: Wixom and Todd (2005) integrated the user satisfaction and the technology acceptance literatures to theorize about and account for the influence of the information technology artifact on usage. Based on Wixom and Todd's integrated model of technology usage, we propose the 3Q model by investigating the role of service quality (SQ), in addition to system quality (SysQ) and information quality (IQ), in website adoption. Attention to SQ is critical, as consumer websites have increasingly become the target of SQ assessment made by consumers, not just traditional SysQ and IQ evaluations. As part of our study, we further theorize and empirically test the relationships among these three types of quality constructs and hypothesize that perceived SysQ influences perceived IQ and perceived SQ, and perceived IQ influences perceived SQ. Our study extends the Wixom and Todd model in the e-service context and is the first of its kind to empirically examine the combined impact of perceived SQ, perceived SysQ, and perceived IQ on usage intention. Our study advances the theoretical understanding of SQ and the relationships among perceptions of SysQ, IQ, and SQ in the e-service context. The results also inform practitioners that high IQ and SysQ can directly or indirectly improve SQ in the e-service context.

Addressing the personalization-privacy paradox: an empirical assessment from a field experiment on smartphone users

Abstract: Privacy has been an enduring concern associated with commercial information technology (IT) applications, in particular regarding the issue of personalization. IT-enabled personalization, while potentially making the user computing experience more gratifying, often relies heavily on the user's personal information to deliver individualized services, which raises the user's privacy concerns. We term the tension between personalization and privacy, which follows from marketers exploiting consumers' data to offer personalized product information, the personalization--privacy paradox. To better understand this paradox, we build on the theoretical lenses of uses and gratification theory and information boundary theory to conceptualize the extent to which privacy impacts the process and content gratifications derived from personalization, and how an IT solution can be designed to alleviate privacy concerns. Set in the context of personalized advertising applications for smartphones, we propose and prototype an IT solution, referred to as a personalized, privacy-safe application, that retains users' information locally on their smartphones while still providing them with personalized product messages. We validated this solution through a field experiment by benchmarking it against two more conventional applications: a base nonpersonalized application that broadcasts non-personalized product information to users, and a personalized, nonprivacy safe application that transmits user information to a central marketer's server. The results show that (compared to the non-personalized application), while personalized, privacy-safe or not increased application usage (reflecting process gratification), it was only when it was privacy-safe that users saved product messages (reflecting content gratification) more frequently. Follow-up surveys corroborated these nuanced findings and further revealed the users' psychological states, which explained our field experiment results. We found that saving advertisements for content gratification led to a perceived intrusion of information boundary that made users reluctant to do so. Overall our proposed IT solution, which delivers a personalized service but avoids transmitting users' personal information to third parties, reduces users' perceptions that their information boundaries are being intruded upon, thus mitigating the personalization--privacy paradox and increasing both process and content gratification.

Discovering unobserved heterogeneity in structural equation models to avert validity threats

Abstract: A large proportion of information systems research is concerned with developing and testing models pertaining to complex cognition, behaviors, and outcomes of individuals, teams, organizations, and other social systems that are involved in the development, implementation, and utilization of information technology. Given the complexity of these social and behavioral phenomena, heterogeneity is likely to exist in the samples used in IS studies. While researchers now routinely address observed heterogeneity by introducing moderators, a priori groupings, and contextual factors in their research models, they have not examined how unobserved heterogeneity may affect their findings. We describe why unobserved heterogeneity threatens different types of validity and use simulations to demonstrate that unobserved heterogeneity biases parameter estimates, thereby leading to Type I and Type II errors. We also review different methods that can be used to uncover unobserved heterogeneity in structural equation models. While methods to uncover unobserved heterogeneity in covariance-based structural equation models (CB-SEM) are relatively advanced, the methods for partial least squares (PLS) path models are limited and have relied on an extension of mixture regression--finite mixture partial least squares (FIMIX-PLS) and distance measure-based methods--that have mismatches with some characteristics of PLS path modeling. We propose a new method--prediction-oriented segmentation (PLSPOS)--to overcome the limitations of FIMIX-PLS and other distance measure-based methods and conduct extensive simulations to evaluate the ability of PLS-POS and FIMIX-PLS to discover unobserved heterogeneity in both structural and measurement models. Our results show that both PLS-POS and FIMIX-PLS perform well in discovering unobserved heterogeneity in structural paths when the measures are reflective and that PLS-POS also performs well in discovering unobserved heterogeneity in formative measures. We propose an unobserved heterogeneity discovery (UHD) process that researchers can apply to (1) avert validity threats by uncovering unobserved heterogeneity and (2) elaborate on theory by turning unobserved heterogeneity into observed heterogeneity, thereby expanding theory through the integration of new moderator or contextual variables.

Information technology and business-level strategy: toward an integrated theoretical perspective

Abstract: Information technology matters to business success because it directly affects the mechanisms through which they create and capture value to earn a profit: IT is thus integral to a firm's business-level strategy. Much of the extant research on the IT/strategy relationship, however, inaccurately frames IT as only a functional-level strategy. This widespread under-appreciation of the business-level role of IT indicates a need for substantial retheorizing of its role in strategy and its complex and interdependent relationship with the mechanisms through which firms generate profit. Using a comprehensive framework of potential profit mechanisms, we argue that while IT activities remain integral to the functional-level strategies of the firm, they also play several significant roles in business strategy, with substantial performance implications. IT affects industry structure and the set of business-level strategic alternatives and value-creation opportunities that a firm may pursue. Along with complementary organizational changes, IT both enhances the firm's current (ordinary) capabilities and enables new (dynamic) capabilities, including the flexibility to focus on rapidly changing opportunities or to abandon losing initiatives while salvaging substantial asset value. Such digitally attributable capabilities also determine how much of this value, once created, can be captured by the firm--and how much will be dissipated through competition or through the power of value chain partners, the governance of which itself depends on IT. We explore these business-level strategic roles of IT and discuss several provocative implications and future research directions in the converging information systems and strategy domains.

Internet privacy concerns: an integrated conceptualization and four empirical studies

Abstract: Internet privacy concerns (IPC) is an area of study that is receiving increased attention due to the huge amount of personal information being gathered, stored, transmitted, and published on the Internet. While there is an emerging literature on IPC, there is limited agreement about its conceptualization in terms of its key dimensions and its factor structure. Based on the multidimensional developmental theory and a review of the prior literature, we identify alternative conceptualizations of IPC. We examine the various conceptualizations of IPC with four online surveys involving nearly 4,000 Internet users. As a baseline, study 1 compares the integrated conceptualization of IPC to two existing conceptualizations in the literature. While the results provide support for the integrated conceptualization, the second-order factor model does not outperform the correlated first-order factor model. Study 2 replicates the study on a different sample and confirms the results of study 1. We also investigate whether the prior results are affected by the different perspectives adopted in the wording of items in the original instruments. In study 3, we find that focusing on one's concern for website behavior (rather than one's expectation of website behavior) and adopting a consistent perspective in the wording of the items help to improve the validity of the factor structure. We then examine the hypothesized third-order conceptualizations of IPC through a number of alternative higher-order models. The empirical results confirm that, in general, the third-order conceptualizations of IPC outperform their lower-order alternatives. In addition, the conceptualization of IPC that has the best fit with the data contains a third-order general IPC factor, two second-order factors of interaction management and information management, and six first-order factors (i.e., collection, secondary usage, errors, improper access, control, and awareness). Study 4 cross-validates the results with another data set and examines IPC within the context of a nomological network. The results confirm that the third-order conceptualization of IPC has nomological validity, and it is a significant determinant of both trusting beliefs and risk beliefs. Our research helps to resolve inconsistencies in the key underlying dimensions of IPC, the factor structure of IPC, and the wording of the original items in prior instruments of IPC. Finally, we discuss the implications of this research.

A longitudinal study of herd behavior in the adoption and continued use of technology

Abstract: Herd literature suggests that people tend to discount their own beliefs and imitate others when making adoption decisions and that the resulting adoption decisions are fragile and can be easily reversed during the post-adoptive stage This helps explain why the adoption of a number of new technologies--from Amazon's Kindle, to Apple's iPod, iPhone, and iPad, to various types of Web 20 technologies--appears to have adoption patterns similar to those of new fashion trends (i e, an initial en masse acquisition followed by subsequent abandonment) It is important to understand these phenomena because they are strongly related to the staying power of technology From a herd behavior perspective, this study proposes two new concepts, namely discounting one's own information and imitating others, to describe herd behavior in technology adoption A research model is developed to describe the conditions under which herd behavior in technology adoption occurs, how it impacts technology adoption decision making, and how it influences post-adoptive system use A longitudinal study is conducted to examine the research model Findings from this research suggest that the discounting of one's own beliefs and the imitating of others when adopting a new technology are provoked primarily by the observation of prior adoptions and perceptions of uncertainty regarding the adoption of new technology Herd behavior has a significant influence on user technology adoption; however, it does not necessarily lead to the collapse of the user base, as predicted in the herd literature Instead, imitation can help reduce post-adoption regret and thus serve as a legitimate strategy for choosing a good enough technology, which may or may not be the best option to enhance job performance People tend to adjust their beliefs when herding and also to revive their discounted initial beliefs to modify their beliefs about the technology at the post-adoptive stage Findings from this study have significant research and practical implications

Impactful research on transformational information technology: an opportunity to inform new audiences

Abstract: Information technology has arguably been one of the most important drivers of economic and social value in the last 50 years, enabling transformational change in virtually every aspect of society. Although the Information Systems community is engaged in significant research on IT, the reach of our findings may be limited. In this commentary, our objective is to focus the IS community's attention on the striking transformations in economic and social systems spawned by IT and to encourage more research that offers useful implications for policy. We present examples of transformations occurring in four distinct sectors of the economy and propose policy-relevant questions that need to be addressed. We urge researchers to write papers based on their findings that inform policy makers, managers, and decision makers about the issues that transformational technologies raise. Finally, we suggest a new outlet to publish these essays on the implications of transformational informational technology.

The affective response model: a theoretical framework of affective concepts and their relationships in the ICT context

Abstract: Affect is a critical factor in human decisions and behaviors within many social contexts. In the information and communication technology (ICT) context, a growing number of studies consider the affective dimension of human interaction with ICTs. However, few of these studies take systematic approaches, resulting in inconsistent conclusions and contradictory advice for researchers and practitioners. Many of these issues stem from ambiguous conceptualizations of various affective concepts and their relationships. Before researchers can address questions such as "what causes affective responses in an ICT context" and "what impacts do affective responses have on human interaction with ICTs," a theoretical foundation for affective concepts and their relationships has to be established. This theory and review paper addresses three research questions: (1) What are pertinent affective concepts in the ICT context? (2) In what ways are these affective concepts similar to, or different from each other? (3) How do these affective concepts relate to or influence one another? Based on theoretical reasoning and empirical evidence, the affective response model (ARM) is developed. ARM is a theoretically bound conceptual framework that provides a systematic and holistic reference map for any ICT study that considers affect. It includes a taxonomy that classifies affective concepts along five dimensions: the residing, the temporal, the particular/general stimulus, the object/behavior stimulus, and the process/outcome dimensions. ARM also provides a nomological network to indicate the causal or co-occurring relationships among the various types of affective concepts in an ICT interaction episode. ARM has the power for explaining and predicting, as well as prescribing, potential future research directions.

Content or community? a digital business strategy for content providers in the social age

Abstract: The content industry has been undergoing a tremendous transformation in the last two decades. We focus in this paper on recent changes in the form of social computing. Although the content industry has implemented social computing to a large extent, it has done so from a techno-centric approach in which social features are viewed as complementary rather than integral to content. This approach does not capitalize on users' social behavior in the website and does not answer the content industry's need to elicit payment from consumers. We suggest that both of these objectives can be achieved by acknowledging the fusion between content and community, making the social experience central to the content website's digital business strategy. We use data from Last.fm, a site offering both music consumption and online community features. The basic use of Last.fm is free, and premium services are provided for a fixed monthly subscription fee. Although the premium services on Last.fm are aimed primarily at improving the content consumption experience, we find that willingness to pay for premium services is strongly associated with the level of community participation of the user. Drawing from the literature on levels of participation in online communities, we show that consumers' willingness to pay increases as they climb the so-called "ladder of participation" on the website. Moreover, we find that willingness to pay is more strongly linked to community participation than to the volume of content consumption. We control for self-selection bias by using propensity score matching. We extend our results by estimating a hazard model to study the effect of community activity on the time between joining the website and the subscription decision. Our results suggest that firms whose digital business models remain viable in a world of "freemium" will be those that take a strategic rather than techno-centric view of social media, that integrate social media into the consumption and purchase experience rather than use it merely as a substitute for offline soft marketing. We provide new evidence of the importance of fusing social computing with content delivery and, in the process, lay a foundation for a broader strategic path for the digital content industry in an age of growing user participation.

Critical realism in information systems research

Abstract: Critical realism offers exciting prospects in shifting attention toward the real problems that one faces and their underlying causes. As such, it offers a robust framework for the use of a variety of methods in order to gain a better understanding of the meaning and significance of information systems in the contemporary world. One of the interesting tensions is that Archer's argument for the centrality of reflexivity in contemporary conditions tends to downplay both routine action and tacit forms of knowing, whereas a considerable volume of work on organizations and IS stresses the centrality of both. A great strength of the paper is that MA is used in an in-depth study to reveal over a long time line the processes and mechanisms that explain how the ICT for development trajectory emerged from the interplay of interactions at different levels of players in global, national, public, private, third sector, and civil society institutions and organizations.

When does technology use enable network change in organizations? a comparative study of feature use and shared affordances

Abstract: The goal of this study is to augment explanations of how newly implemented technologies enable network change within organizations with an understanding of when such change is likely to happen. Drawing on the emerging literature on technology affordances, the paper suggests that informal network change within interdependent organizational groups is unlikely to occur until users converge on a shared appropriation of the new technology's features such that the affordances the technology enables are jointly realized. In making the argument for the importance of shared affordances, this paper suggests that group-level network change has its most profound implications at the organization level when individuals use the same subset of a new information technology's features. To explore this tentative theory, we turn to a comparative, multimethod, longitudinal study of computer-based simulation technology use in automotive engineering. The findings of this explanatory case study show that engineers used the new technology for more than three months, during which time neither group experienced changes to their advice networks. Initially, divergent uses of the technology's features by engineers in both groups precluded them from being able to coordinate their work in ways that allowed them to structure their advice networks differently. Eventually, engineers in only one of the two groups converged on the use of a common set of the technology's features to enact a shared affordance. This convergence was necessary to turn the technology into a resource that could collectively afford group members the ability to compare their simulation outputs with one another and, in so doing, alter the content and structure of the group's advice network. The implications of these findings for the literatures on technology feature use, affordances, social networks, and post-adoption behaviors in organizations are discussed.

Digital games and beyond: what happens when players compete?

Abstract: Because digital games are fun, engaging, and popular, organizations are attempting to integrate them within organizational activities as serious components, with the anticipation that they can improve employees' motivation and performance But in order to do so and to obtain the intended outcomes, it is necessary to first obtain an understanding of how different digital game designs impact players' behaviors and emotional responses Hence, in this study, we address one key element of popular game designs: competition Using extant research on tournaments and intrinsic motivation, we model competitive games as a skill-based tournament and conduct an experimental study to understand player behaviors and emotional responses under different competition conditions When players compete with players of similar skill levels, they apply more effort as indicated by more games played and longer duration of play But when players compete with players of lower skill levels, they report higher levels of enjoyment and lower levels of arousal after game-playing We discuss the implications for organizations seeking to introduce games premised on competition and provide a framework to guide information system researchers to embark on a study of games

Motivating energy-efficient behavior with Green Is: an investigation of goal setting and the role of defaults

Abstract: This study investigates the role of information systems in stimulating energy-efficient behavior in private households. We present the example of Velix, a web portal designed to motivate customers of a utility company to reduce their electricity consumption. In particular, we consider the effectiveness of goal setting functionality and defaults in influencing energy conservation behavior. For this purpose, we use the web portal as a test of the theoretical propositions underlying its design. Based on data collected from a field experiment with 1,791 electricity consumers, we test hypotheses regarding the structural relations between defaults and goals, the impact of defaults and goals on consumption behavior, and the moderating role of feedback on goal choice. Our results confirm the positive impact of goal setting on energy conservation. We show that default goals lead to statistically significant savings by affecting goal choice. However, if the default goals are set too low or too high with respect to a self-set goal, the defaults will detrimentally affect behavior. We also show that feedback on goal attainment moderates the effect of default goals on goal choice. The results extend the knowledge on goal setting and defaults and have implications for the design of effective energy feedback systems. The study's approach, which combines hypothesis-driven work and design-oriented IS research, could serve as a blueprint for further research endeavors of this kind, particularly with regard to feedback systems based on future smart metering infrastructures.

The impact of shaping on knowledge reuse for organizational improvement with Wikis

Abstract: In this study, we explore the Wiki affordance of enabling shaping behavior within organizational intranets supported by Wikis. Shaping is the continuous revision of one's own and others' contributions to a Wiki. Shaping promotes knowledge reuse through improved knowledge integration. Recognizing and clarifying the role of shaping allows us to theorize new ways in which knowledge resources affect knowledge reuse. We examine the role of three knowledge resources of a Wiki contributor: knowledge depth, knowledge breadth, and assessment of the level of development of the Wiki community's transactive memory system. We offer preliminary evidence based on a sample of experienced organizational Wiki users that the three different knowledge resources have differential effects on shaping, that these effects differ from the effects on the more common user behavior of simply adding domain knowledge to a Wiki, and that shaping and adding each independently affect contributors' perceptions that their knowledge in the Wiki has been reused for organizational improvement. By empirically distinguishing between the different knowledge antecedents and consequences of shaping and adding, we derive implications for theory and research on knowledge integration and reuse.

Spurring impactful research on information systems for environmental sustainability

Abstract: As the future of our ecosystem and society hangs in delicate balance, sustainability issues have come to the societal and governmental forefront. Organizations, governments, and cross-national bodies are turning their attention to the question of how we can make the world a better place. Sustainability is a complex term that can encompass environmental, economic, and societal issues. In essence, sustainability is conservation, deployment, and reuse of resources in responsible ways. From an organizational perspective, sustainability has been widely operationalized as endeavoring to achieve societal goals within commercial goals in such a way as to optimize social, environmental, and economic dimensions simultaneously—rather than these goals being treated as trade-offs (Porter and Kramer 2006).

Knowing what a user likes: a design science approach to interfaces that automatically adapt to culture

Abstract: Adapting user interfaces to a user's cultural background can increase satisfaction, revenue, and market share. Conventional approaches to catering for culture are restricted to adaptations for specific countries and modify only a limited number of interface components, such as the language or date and time formats. We argue that a more comprehensive personalization of interfaces to cultural background is needed to appeal to users in expanding markets. This paper introduces a low-cost, yet efficient method to achieve this goal: cultural adaptivity. Culturally adaptive interfaces are able to adapt their look and feel to suit visual preferences. In a design science approach, we have developed a number of artifacts that support cultural adaptivity, including a prototype web application. We evaluate the efficacy of the prototype's automatically generated interfaces by comparing them with the preferred interfaces of 105 Rwandan, Swiss, Thai, and multicultural users. The findings demonstrate the feasibility of providing users with interfaces that correspond to their cultural preferences in a novel yet effective manner.

Insiders' protection of organizational information assets: development of a systematics-based taxonomy and theory of diversity for protection-motivated behaviors

Abstract: Protecting information from a variety of security threats is a daunting organizational activity. Organization managers must recognize the roles that organization insiders have in protecting information resources rather than solely relying upon technology to provide this protection. Unfortunately, compared to negative insider behaviors, the extant literature provides sparse coverage of beneficial insider activities. The few beneficial activities in the literature represent only a small portion of the diverse collection of insiders' protective actions. This research focuses on protection-motivated behaviors (PMBs), which are volitional behaviors enacted by organization insiders to protect (1) organizationally relevant information and (2) the computer-based information systems in which the information is stored, collected, disseminated, and/or manipulated from information security threats. Based on systematics, we propose a six-step methodology of qualitative and quantitative approaches to develop a taxonomy and theory of diversity for PMBs. These approaches integrate the classification techniques of multidimensional scaling (MDS), property fitting (ProFit), and cluster analyses. We leverage these techniques to identify and display how insiders collectively classify 67 unique PMBs and their homogeneous classes. Our taxonomy provides researchers and practitioners a comprehensive guide and common nomenclature for PMBs. Our methodology can be similarly used to create other theories of diversity.