Showing papers in "Management Information Systems Quarterly in 2014"

What's different about social media networks? a framework and research agenda

Abstract: In recent years, we have witnessed the rapid proliferation and widespread adoption of a new class of information technologies, commonly known as social media. Researchers often rely on social network analysis (SNA) when attempting to understand these technologies, often without considering how the novel capabilities of social media platforms might affect the underlying theories of SNA, which were developed primarily through studies of offline social networks. This article outlines several key differences between traditional offline social networks and online social media networks by juxtaposing an established typology of social network research with a well-regarded definition of social media platforms that articulates four key features. The results show that at four major points of intersection, social media has considerable theoretical implications for SNA. In exploring these points of intersection, this study outlines a series of theoretically distinct research questions for SNA in social media contexts. These points of intersection offer considerable opportunities for researchers to investigate the theoretical implications introduced by social media and lay the groundwork for a robust social media agenda potentially spanning multiple disciplines.

Digital innovation as a fundamental and powerful concept in the information systems curriculum

Abstract: The 50-year march of Moore's Law has led to the creation of a relatively cheap and increasingly easy-touse world-wide digital infrastructure of computers, mobile devices, broadband network connections, and advanced application platforms. This digital infrastructure has, in turn, accelerated the emergence of new technologies that enable transformations in how we live and work, how companies organize, and the structure of entire industries. As a result, it has become important for all business students to have a strong grounding in IT and digital innovation in order to manage, lead, and transform organizations that are increasingly dependent on digital innovation. Yet, at many schools, students do not get such grounding because the required information systems core class is stuck in the past. We present a vision for a redesigned IS core class that adopts digital innovation as a fundamental and powerful concept (FPC). A good FPC serves as both a foundational concept and an organizing principle for a course. We espouse a particularly broad conceptualization of digital innovation that allows for a variety of teaching styles and topical emphases for the IS core class. This conceptualization includes three types of innovation (i.e., process, product, and business model innovation), and four stages for the overall innovation process (i.e., discovery, development, diffusion, and impact). Based on this conceptualization, we examine the implications of adopting digital innovation as an FPC. We also briefly discuss broader implications relating to (1) the IS curriculum beyond the core class, (2) the research agenda for the IS field, and (3) the identity and legitimacy of IS in business schools.

Trust, satisfaction, and online repurchase intention: the moderating role of perceived effectiveness of E-commerce institutional mechanisms

Abstract: The effects of e-commerce institutional mechanisms on trust and online purchase have traditionally been understood in the initial online purchase context. This study extends this literature by exploring the role of e-commerce institutional mechanisms in the online repurchase context. In doing so, it responds to the emerging call for understanding the institutional context under which customer trust operates in an e-commerce environment. Specifically, this study introduces a key moderator, perceived effectiveness of e-commerce institutional mechanisms (PEEIM), to the relationships between trust, satisfaction, and repurchase intention. Drawing on the theory of organizational trust, and based on a survey of 362 returning online customers, we find that PEEIM negatively moderates the relationship between trust in an online vendor and online customer repurchase intention, as it decreases the importance of trust to promoting repurchase behavior. We also find that PEEIM positively moderates the relationship between customer satisfaction and trust as it enhances the customer's reliance on past transaction experience with the vendor to reevaluate trust in the vendor. Consistent with the predictions made in the literature, PEEIM does not directly affect trust or repurchase intention. Academic and practical implications and future research directions are discussed.

Anxious or angry? effects of discrete emotions on the perceived helpfulness of online reviews

Abstract: This paper explores the effects of emotions embedded in a seller review on its perceived helpfulness to readers. Drawing on frameworks in literature on emotion and cognitive processing, we propose that over and above a well-known negativity bias, the impact of discrete emotions in a review will vary, and that one source of this variance is reader perceptions of reviewers' cognitive effort. We focus on the roles of two distinct, negative emotions common to seller reviews: anxiety and anger. In the first two studies, experimental methods were utilized to identify and explain the differential impact of anxiety and anger in terms of perceived reviewer effort. In the third study, seller reviews from Yahoo! Shopping web sites were collected to examine the relationship between emotional review content and helpfulness ratings. Our findings demonstrate the importance of examining discrete emotions in online word-of-mouth, and they carry important practical implications for consumers and online retailers.

Contribution behavior in virtual communities: cognitive, emotional, and social influences

Abstract: The long-term viability of virtual communities depends critically on contribution behavior by their members. We deepen and extend prior research by conceptualizing contributions to virtual communities in terms of small friendship group-referent intentional actions. Specifically, we investigate cognitive, emotional, and social determinants of shared we-intentions and their consequences for member contribution behavior to the small friendship group to which they belong within a larger community. Using multiple measurement sources and a longitudinal quasi-experimental design, we show that group norms and social identity, as well as attitudes and anticipated emotions, contribute to the development of behavioral desires, which in turn influence we-intentions. In addition, subjective norms are less effective than either group norms or social identity in encouraging contribution behavior. Finally, members' experience levels positively moderate the relationship between we-intentions and contribution behaviors, and differences between collectivistic versus individualistic orientations moderate the effects of social identity and anticipated emotions on the desire to contribute to one's friendship group in the virtual community. Tests for methods biases were conducted, as well as rival hypotheses. These findings have significant research and managerial implications.

Information technology capability and firm performance: contradictory findings and their possible causes

Abstract: Several studies support the positive link between information technology capability and firm performance, including Bharadwaj (2000) and Santhanam and Hartono (2003), which appeared in MIS Quarterly. We conducted a study to see if this link is still statistically significant. It is now over a decade since the first study was published, during which several significant developments in the IT industry have taken place. Unlike the 1990s, when proprietary information systems prevailed, the 2000s are characterized by more standardized and homogeneous information systems and with the rapid adoption of ERP and web technologies. Thus, we attempted to reexamine the link between IT capability and firm performance with data from the 2000s. Surprisingly, the results of our current analysis showed no significant link between IT capability and firm performance. Contrary to earlier studies, IT leader firms in our study didn't show better financial performance than control firms. We discuss several possible causes for the change in findings and present an in-depth comparison in business performance between the two groups--IT leader and control--over a period extending from 1991 to 2007.

Data collection in the digital age: innovative alternatives to student samples

Abstract: Online crowdsourcing markets (OCM) are becoming more popular as a source for data collection. In this paper, we examine the consistency of survey results across student samples, consumer panels, and online crowdsourcing markets (specifically Amazon's Mechanical Turk) both within the United States and outside. We conduct two studies examining the technology acceptance model (TAM) and the expectation-disconfirmation theory (EDT) to explore potential differences in demographics, psychometrics, structural model estimates, and measurement invariances. Our findings indicate that (1) U.S.-based OCM samples provide demographics much more similar to our student and consumer panel samples than the non-U.S.-based OCM samples; (2) both U.S. and non-U.S. OCM samples provide initial psychometric properties (reliability, convergent, and divergent validity) that are similar to those of both student and consumer panels; (3) non-U.S. OCM samples generally provide differences in scale means compared to those of our students, consumer panels, and U.S. OCM samples; and (4) one of the non-U.S. OCM samples refuted the highly replicated and validated TAM model in the relationship of perceived usefulness to behavioral intentions. Although our post hoc analyses isolated some cultural and demographic effects with regard to the non-U.S. samples in Study 1, they did not address the model differences found in Study 2. Specifically, the inclusion of non-U.S. OCM respondents led to statistically significant differences in parameter estimates, and hence to different statistical conclusions. Due to these unexplained differences that exist within the non-U.S. OCM samples, we caution that the inclusion of non-U.S. OCM participants may lead to different conclusions than studies with only U.S. OCM participants. We are unable to conclude whether this is due to of cultural differences, differences in the demographic profiles of non-U.S. OCM participants, or some unexplored factors within the models. Therefore, until further research is conducted to explore these differences in detail, we urge researchers utilizing OCMs with the intention to generalize to U.S. populations focus on U.S.-based participants and exercise caution in using non-U.S. participants. We further recommend that researchers should clearly describe their OCM usage and design (e.g., demographics, participant filters, etc.) procedures. Overall, we find that U.S. OCM samples produced models that lead to similar statistical conclusions as both U.S. students and U.S. consumer panels at a considerably reduced cost.

Swift Guanxi in online marketplaces: the role of computer-mediated communication technologies

Abstract: The concept of guanxi (i.e., a close and pervasive interpersonal relationship) has received little attention in the literature on online marketplaces, perhaps due to their impersonal nature. However, we propose that computer-mediated communication (CMC) technologies can mimic traditional interactive face-to-face communications, thus enabling a form of guanxi in online marketplaces. Extending the literature on traditional guanxi, we herein introduce the concept of swift guanxi, conceptualized as the buyer's perception of a swiftly formed interpersonal relationship with a seller, which consists of mutual understanding, reciprocal favors, and relationship harmony. Integrating theories of CMC and guanxi, we develop a model that explains how a set of CMC tools (i.e., instant messaging, message box, feedback system) facilitate repeat transactions with sellers by building swift guanxi and trust through interactivity and presence (social presence and telepresence) with sellers. Longitudinal data from 338 buyers in TaoBao, China's leading online marketplace, support our structural model, showing that the buyers' effective use of CMC tools enable swift guanxi and trust by enhancing the buyers' perceptions of interactivity and presence. In turn, swift guanxi and trust predict buyers' repurchase intentions and their actual repurchases from sellers. We discuss the implications of swift guanxi in online marketplaces with the aid of CMC technologies.

The sociomateriality of information systems: current status, future directions

Abstract: Our motivation for putting together this special issue on “Sociomateriality of Information Systems and Organizing” was the mounting interest in the relationship between the social and the material, in the context of our increasingly digital society. The attention to this relationship is manifested in the emergence of studies of technology intended to augment and complement, but also and importantly, to question the received views on technology in social life (see Carlile et al. 2013a; Leonardi et al. 2012; Suchman, 2007).

Social media, traditional media, and music sales

Abstract: Motivated by the growing importance of social media, this paper examines the relationship between new media, old media, and sales in the context of the music industry. In particular, we study the interplay between blog buzz, radio play, and music sales at both the album and song levels of analysis. We employ the panel vector autoregression (PVAR) methodology, an extension of vector autoregression to panel data. We find that radio play is consistently and positively related to future sales at both the song and album levels. Blog buzz, however, is not related to album sales and negatively related to song sales, suggesting that sales displacement due to free online sampling dominates any positive word-of-mouth effects of song buzz on sales. Further, the negative relationship between song buzz and sales is stronger for niche music relative to mainstream music, and for less popular songs within albums. We discuss the implications of these results for both research and practice regarding the role of new media in the music industry.

Explaining data-driven document classifications

Abstract: Many document classification applications require human understanding of the reasons for data-driven classification decisions by managers, client-facing employees, and the technical team. Predictive models treat documents as data to be classified, and document data are characterized by very high dimensionality, often with tens of thousands to millions of variables (words). Unfortunately, due to the high dimensionality, understanding the decisions made by document classifiers is very difficult. This paper begins by extending the most relevant prior theoretical model of explanations for intelligent systems to account for some missing elements. The main theoretical contribution is the definition of a new sort of explanation as a minimal set of words (terms, generally), such that removing all words within this set from the document changes the predicted class from the class of interest. We present an algorithm to find such explanations, as well as a framework to assess such an algorithm's performance. We demonstrate the value of the new approach with a case study from a real-world document classification task: classifying web pages as containing objectionable content, with the goal of allowing advertisers to choose not to have their ads appear on those pages. A second empirical demonstration on news-story topic classification shows the explanations to be concise and document-specific, and to be capable of providing understanding of the exact reasons for the classification decisions, of the workings of the classification models, and of the business application itself. We also illustrate how explaining the classifications of documents can help to improve data quality and model performance.

Entanglements in practice: performing anonymity through social media

Abstract: Information systems researchers have shown an increasing interest in the notion of sociomateriality. In this paper, we continue this exploration by focusing specifically on entanglement: the inseparability of meaning and matter. Our particular approach is differentiated by its grounding in a relational and performative ontology, and its use of agential realism. We explore some of the key ideas of entanglement through a comparison of two phenomena in the travel sector: an institutionalized accreditation scheme offered by the AA and an online social media website hosted by TripAdvisor. Our analysis centers on the production of anonymity in these two practices of hotel evaluation. By examining how anonymity is constituted through an entanglement of matter and meaning, we challenge the predominantly social treatments of anonymity to date and draw attention to the uncertainties and outcomes generated by specific performances of anonymity in practice. In closing, we consider what the particular agential realist concept of entanglement entails for understanding anonymity, and discuss its implications for research practice.

The effects of web personalization on user attitude and behavior: an integration of the elaboration likelihood model and consumer search theory

Abstract: Web personalization can achieve two business goals: increased advertising revenue and increased sales revenue. The realization of the two goals is related to two kinds of user behavior: item sampling and item selection. Prior research does not provide a model of attitude formation toward a personalization agent nor of how attitudes relate to these two behaviors. This limits our understanding of how web personalization can be managed to increase advertising revenues and/or sales revenues. To fill this gap, the current research develops and tests a theoretical model of user attitudes and behaviors toward a personalization agent. The model is based on an integration of two theories: the elaboration likelihood model (ELM) and consumer search theory (CST). In the integrated model, a user's attitude toward a personalization agent is influenced by both the number of items he/she has sampled so far (from CST) and the degree to which he/she cognitively processes each one (from ELM). In turn, attitude is modeled to influence both behaviors--that is, item selection and any further item sampling. We conducted a lab study and a field study to test six hypotheses. This research extends the theory on web personalization by providing a more complete picture of how sampling and processing of personalized recommendations influence a user's attitude and behavior toward the personalization agent. For online merchants, this research highlights the trade-off between item sampling and item selection and provides practical guidance on how to steer users toward the attitudes and behaviors that will realize their business goals.

Looking toward the future of IT-bUSINESS strategic alignment through the past: a meta-analysis

Abstract: Research examining the relationship between IT-business strategic alignment (hereafter referred to as alignment) and firm performance (hereafter referred to as performance) has produced apparently conflicting findings (i.e., an alignment paradox). To examine the alignment paradox, we conducted a meta-analysis that probed the interrelationships between alignment, performance, and context constructs. We found the alignment dimensions (intellectual, operational, and cross-domain) demonstrate unique relationships with the different performance types (financial performance, productivity, and customer benefit) and with many of the other constructs in alignment's nomological network. All mean corrected correlations between dimensions of alignment and dependent variables were positive and most of the credibility interval values in these analyses were also positive. Overall, the evidence gathered from the extant literature suggests there is not much of an alignment paradox. This study contributes to the literature by clarifying the relationships between alignment and performance outcomes and offering insight into sources of inconsistencies in alignment research. By doing so, this paper lays a foundation for more consistent treatment of alignment in future IT research.

Transformational issues of big data and analytics in networked business

Abstract: The era of big data and analytics is upon us and is changing the world dramatically. The field of Information Systems should be at the forefront of understanding and interpreting the impact of both technologies and management so as to lead the efforts of business research in the big data era. We need to prepare ourselves and our students for this changing world of business. In this discussion, we focus on exploring the technical and managerial issues of business transformation resulting from the insightful adoption and innovative applications of data sciences in business. We end by providing an overview of the papers included in this special issue and outline future research directions.

Content sharing in a social broadcasting environment: evidence from twitter

Abstract: The rise of social broadcasting technologies has greatly facilitated open access to information worldwide, not only by powering decentralized information production and consumption, but also by expediting information diffusion through social interactions like content sharing. Voluntary information sharing by users in the context of Twitter, the predominant social broadcasting site, is studied by modeling both the technology and user behavior. A detailed data set about the official content-sharing function on Twitter, called retweet, is collected and the statistical relationships between users' social network characteristics and their retweeting acts are documented. A two-stage consumption-sharing model is then estimated using the conditional maximum likelihood estimatio (MLE) method. The empirical results convincingly support our hypothesis that weak ties (in the form of unidirectional links) are more likely to engage in the social exchange process of content sharing. Specifically, we find that after a median quality tweet (as defined in the sample) is consumed, the likelihood that a unidirectional follower will retweet is 3.1 percentage point higher than the likelihood that a bidirectional follower will do so.

Enterprise system implementation and employee: understanding the role of advice networks

Abstract: The implementation of enterprise systems, such as enterprise resource planning (ERP) systems, alters business processes and associated workflows, and introduces new software applications that employees must use. Employees frequently find such technology-enabled organizational change to be a major challenge. Although many challenges related to such changes have been discussed in prior work, little research has focused on post-implementation job outcomes of employees affected by such change. We draw from social network theory-- specifically, advice networks--to understand a key post-implementation job outcome (i.e., job performance). We conducted a study among 87 employees, with data gathered before and after the implementation of an ERP system module in a business unit of a large organization. We found support for our hypotheses that workflow advice and software advice are associated with job performance. Further, as predicted, we found that the interactions of workflow and software get-advice, workflow and software give-advice, and software get- and give-advice were associated with job performance. This nuanced treatment of advice networks advances our understanding of post-implementation success of enterprise systems.

Cultural differences and geography as determinants of online prosocial lending

Abstract: In this paper, we analyze patterns of transaction between individuals using data drawn from Kiva.org, a global online crowdfunding platform that facilitates prosocial, peer-to-peer lending. Our analysis, which employs an aggregate dataset of country-to-country lending volumes based on more than three million individual lending transactions that took place between 2005 and 2010, considers the dual roles of geographic distance and cultural differences on lenders' decisions about which borrowers to support. While cultural differences have seen extensive study in the Information Systems literature as sources of friction in extended interactions, here, we argue and demonstrate their role in individuals' selection of a transaction partner. We present evidence that lenders do prefer culturally similar and geographically proximate borrowers. An analysis of the marginal effects indicates that an increase of one standard deviation in the cultural differences between lender and borrower countries is associated with 30 fewer lending actions, while an increase of one standard deviation in physical distance is associated with 0.23 fewer lending actions. We also identify a substitution effect between cultural differences and physical distance, such that a 50 percent increase in physical distance is associated with an approximate 30 percent decline in the effect of cultural differences. Considering approaches to overcoming the observed cultural effect, we offer some empirical evidence of the potential of IT-based trust mechanisms, focusing on Kiva's reputation rating system for microfinance intermediaries. We discuss the implications of our findings for prosocial lending, online crowdfunding, and electronic markets more broadly.

Reliability generalization of perceived ease of use, perceived usefulness, and behavioral intentions

Abstract: A reliability generalization study (a meta-analysis of reliability coefficients) was conducted on three widely studied information systems constructs from the technology acceptance model (TAM): perceived ease of use, perceived usefulness, and behavioral intentions. This form of meta-analysis summarizes the reliability coefficients of the scores on a specified scale across studies and identifies the study characteristics that influence the reliability of these scores. Reliability is a critical issue in conducting empirical research as the reliability of the scores on well-established scales can vary with study characteristics, attenuating effect sizes. In conducting this study, an extensive literature search was conducted, with 380 articles reviewed and coded to perform reliability generalization. Study characteristics, including technology, sample, and measurement characteristics, for these articles were recorded along with effect size data for the relationships among these variables. After controlling for number of items, sample size, and sampling error, differences in reliability coefficients were found with several study characteristics for the three technology acceptance constructs. The reliability coefficients of PEOU and PU were lower in hedonic contexts than in utilitarian contexts, and were higher when the originally validated scales were used as compared to when other items were substituted. Only 27 percent of the studies that provided the measurement items used the original PEOU items, while 39 percent used the original PU items. Scales that were administered in English had higher reliability coefficients for PU and BI, with a marginal effect for PEOU. Reliability differences were also found for other study characteristics, including reliability type, subject experience, and gender composition. While average reliability coefficients were high, the results show that, on average, relationships among these constructs are attenuated by 12 percent with maximum attenuation in the range of 35 to 43 percent. Implications for technology acceptance research are discussed and suggestions for addressing variation in reliability coefficients across studies are provided.

An economic analysis of online advertising using behavioral targeting

Abstract: Online publishers and advertisers have recently shown increasing interest in using targeted advertising online. Such targeting allows them to present users with advertisements that are a better match, based on their past browsing and search behavior and other available information (e.g., hobbies registered on a web site). This technique, known as behavioral targeting, has been hailed as the new "Holy Grail" in online advertising because of its potential effectiveness. In this paper, we study the economic implications when an online publisher engages in behavioral targeting. The publisher auctions off an advertising slot and is paid on a cost-per-click basis. Using a horizontal differentiation model to capture the fit between a user and an advertisement being displayed, we identify the factors that affect the publisher's revenue, the advertisers' payoffs, and social welfare. We show that revenue for the online publisher in some circumstances can double when behavioral targeting is used. However, increased revenue for the publisher is not guaranteed: in some cases, the prices of advertising and hence the publisher's revenue can be lower, depending on the degree of competition and the advertisers' valuations. We identify two effects associated with behavioral targeting: a competitive effect and a propensity effect. The relative strength of the two effects determines whether the publisher's revenue is positively or negatively affected. We also demonstrate that, although social welfare is increased and small advertisers are better off under behavioral targeting, the dominant advertiser might be worse off and reluctant to switch from traditional advertising.

The nature and consequences of trade-off transparency in the context of recommendation agents

Abstract: That recommendation agents (RAs) can substantially improve consumers' decision making is well understood. Far less understood is the influence of specific design attributes of the RA interface on decision making and other outcome measures. We investigate a novel design for an RA interface that enables it to interactively demonstrate trade-offs among product attribute values (i.e., trade-off transparency feature) to improve consumers' perceived product diagnosticity and perceived enjoyment. We also examine the extent to which the trade-offs among product attribute values should be revealed to the user. Further, based on the stimulus-organism-response model, we develop a theoretical model that extends the effort-accuracy framework by proposing perceived enjoyment and perceived product diagnosticity as two antecedents for perceived decision quality and perceived decision effort, respectively. In an experimental study, we find that (1) the trade-off transparency feature significantly affects perceived enjoyment and perceived product diagnosticity, (2) perceived enjoyment and perceived product diagnosticity follow an inverted U-shaped curve as the level of tradeoff transparency increases, (3) although users spend more time understanding attribute trade-offs with the trade-off transparency feature, they are more efficient in selecting a product, (4) perceived enjoyment simultaneously leads to better perceived decision quality and lower perceived decision effort, and (5) perceived product diagnosticity leads to better perceived decision quality without compromising perceptions of decision effort. Theoretically, this study increases our understanding of how the design of an RA interface can improve consumers' product diagnosticity and enjoyment, and proposes two antecedents to improve perceived decision quality and reduce perceived decision effort. For design practitioners, our results indicate the importance of providing the trade-off transparency design feature to potential consumers.

Knowledge exchange and symbolic action in social media-enabled electronic networks of practice: a multilevel perspective on knowledge seekers and contributors

Abstract: Organizational knowledge is one of the most important assets of an enterprise. Therefore, many organizations invest in enterprise social media (ESM) to establish electronic networks of practice and to foster knowledge exchange among employees. ESM improves interaction transparency and can be regarded as a sociotechnical system that provides a language for communication and symbolic action as well as a better sense of others' social identity. Accordingly, the individual characteristics of knowledge seekers and contributors determine why and how interactions occur. However, existing studies tend to focus only on knowledge contributors' characteristics and to treat knowledge as an object that needs to be transferred. To address this gap, this study conceptualizes and empirically tests a multilevel model of knowledge exchange in electronic networks of practice (ENoP) that includes the characteristics of knowledge seekers and knowledge contributors as well as their dyadic relationship from an activity-centered language/action point of view. A dataset of 15,505 enterprise microblogging messages reveals that knowledge seekers' characteristics and relational factors drive knowledge exchanges in social media-enabled ENoP. Focusing on organizations with knowledge exchanges supported by information technology, our research extends prior findings by providing the first evidence that the communicative act expressed by question-answer pairs impacts the quality of knowledge exchanged.

A matter of life and death: exploring conceptualizations of sociomateriality in the context of critical care

Abstract: Sociomateriality has been attracting growing attention in the Organization Studies and Information Systems literatures since 2007, with more than 140 journal articles now referring to the concept. Over 80 percent of these articles have been published since January 2011 and almost all cite the work of Orlikowski (2007, 2010; Orlikowski and Scott 2008) as the source of the concept. Only a few, however, address all of the notions that Orlikowski suggests are entailed in sociomateriality, namely materiality, inseparability, relationality, performativity, and practices, with many employing the concept quite selectively. The contribution of sociomateriality to these literatures is, therefore, still unclear. Drawing on evidence from an ongoing study of the adoption of a computer-based clinical information system in a hospital critical care unit, this paper explores whether the notions, individually and collectively, offer a distinctive and coherent account of the relationship between the social and the material that may be useful in Information Systems research. It is argued that if sociomateriality is to be more than simply a label for research employing a number of loosely related existing theoretical approaches, then studies employing the concept need to pay greater attention to the notions entailed in it and to differences in their interpretation.

Beyond being there: the symbolic role of communication and identification in perceptions of proximity to geographically dispersed colleagues

Abstract: Using a mixed-methods approach, we develop the concept of perceived proximity, which is created through communication, shared identity, and the symbolic aspects thereof. Building on previous theoretical work, we create and validate measures of perceived proximity. Then, we compare how perceived proximity and objective distance relate to relationship quality for collocated and geographically dispersed work colleagues. Our results show that perceived proximity (i.e., a cognitive and affective sense of relational closeness) and not physical proximity (i.e., geographic closeness measured in miles or kilometers) affects relationship quality in an international survey of more than 600 people and 1,300 dyadic work relationships. We also find that people's perceptions of proximity mediate the effects of communication and identification on relationship quality. Using qualitative data (2,289 comments from 1,188 respondents coded into 9 themes), we explore the symbolic meaning of perceived proximity. We show how people can form strong bonds despite being separated by large distances and continue to shift the emphasis from information systems as "pipes" or channels to information systems as vehicles for conveying shared meaning and symbolic value. Our findings have important implications for scholars, managers, systems designers, and members of virtual teams, teleworkers, and other geographically dispersed contexts.

Expectation confirmation in information systems research: a test of six competing models

Abstract: Expectation confirmation research in general, and in information systems (IS) in particular, has produced conflicting results. In this paper, we discuss six different models of expectation confirmation: assimilation, contrast, generalized negativity, assimilation-contrast, experiences only, and expectations only. Relying on key constructs from the technology acceptance model (TAM), we test each of these six models that suggests different roles for expectations and experiences of the key predictor--here, perceived usefulness--and their impacts on key outcomes--here, behavioral intention, use, and satisfaction. Data were collected in a field study from 1,113 participants at two points in time. Using polynomial modeling and response surface analysis, we provide the analytical representations for each of the six models and empirically test them to demonstrate that the assimilation-contrast is the best existing model in terms of its ability to explain the relationships between expectations and experiences of perceived usefulness and important dependent variables--namely, behavioral intention, use, and satisfaction--in individual-level research on IS implementations.

Collaboration through open superposition: a theory of the open source way

Abstract: This paper develops and illustrates the theory of collaboration through open superposition: the process of depositing motivationally independent layers of work on top of each other over time. The theory is developed in a study of community-based free and open source software (FLOSS) development, through a research arc of discovery (participant observation), replication (two archival case studies), and theorization. The theory explains two key findings: (1) the overwhelming majority of work is accomplished with only a single programmer working on any one task, and (2) tasks that appear too large for any one individual are more likely to be deferred until they are easier rather than being undertaken through structured team work. Moreover, the theory explains how working through open superposition can lead to the discovery of a work breakdown that results in complex, functionally interdependent, work being accomplished without crippling search costs. We identify a set of socio-technical contingencies under which collaboration through open superposition is likely to be effective, including characteristics of artifacts made from information as the objects being worked on. We demonstrate the usefulness of the theory by using it to analyze difficulties in learning from FLOSS in other domains of work and in the IS function of for-profit organizations.

Theorization and translation in information technology institutionalization: evidence from Danish home care

Abstract: Although institutional theory has become a more dominant perspective in information systems research, studies have only paid scant attention to how field dynamics and organizational processes coevolve during information technology institutionalization. Against this backdrop, we present a new conceptualization based on the "traveling of ideas" metaphor that distinguishes between theorization of ideas about IT usage across an organizational field and translation of such ideas into practical use of IT within particular organizations. Drawing on these distinct analytical views, we posit that IT institutionalization is constituted through recursive intertwining of theorization and translation involving both linguistic and material objects. To illustrate the detailed workings of this conceptualization, we apply it to a longitudinal study of mobile IT institutionalization within Danish home care. We demonstrate how heterogeneous actors within the Danish home care field theorized ideas about mobile IT usage and how these ideas translated into different local arrangements. Further, our account reveals a complex institutionalization process in which mobile IT was first seen as a fashionable recipe for improvement but subsequently became the subject of controversy. The paper adds to the emerging process and discourse literature on IT institutionalization by shedding new light on how IT ideas travel across a field and within individual organizations, how they transform and become legitimized over time, and how they take on different linguistic and material forms across organizational settings.

Reframing success and failure of information systems: a performative perspective

Abstract: The paper questions common assumptions in the dominant representational framings of information systems success and failure and proposes a performative perspective that conceives IS success and failure as relational effects performed by sociomaterial practices of IS project actor-networks of developers, managers, technologies, project documents, methodologies, and other actors. Drawing from a controversial case of a highly innovative information system in an insurance company--considered a success and failure at the same time-- the paper reveals the inherent indeterminacy of IS success and failure and describes the mechanisms by which success and failure become performed and thus determined by sociomaterial practices. This is explained by exposing ontological politics in the reconfiguration and decomposition of the IS project actor-network and the emergence of different agencies of assessment that performed both different IS realities and competing IS assessments. The analysis shows that the IS project and the implemented system as objects of assessment are not given and fixed, but are performed by the agencies of assessment together with the assessment outcomes of success and failure. The paper demonstrates that by reframing IS success and failure, the performative perspective provides some novel and surprising insights that have a potential to change conversations on IS assessments in both the IS literature and IS practice.

Emergence of power laws in online communities: the role of social mechanisms and preferential attachment

Abstract: Online communities bring together individuals with shared interest in joint action or sustained interaction. Power law distributions of user popularity appear ubiquitous in online communities but their formation mechanisms are not well understood. This study tests for the emergence of power law distributions via the mechanisms of preferential attachment, least efforts, direct reciprocity, and indirect reciprocity. Preferential attachment, where new entrants favor connections with already popular participants, is the predominant explanation suggested by prior literature. Yet, the attribution of preferential attachment or any other mechanism as a single unitary reason for the emergence of power law distributions runs contrary to the social nature of online communities and does not account for diversity of participants' motivation. Agent-based modeling is used to test if a single social mechanism alone or multiple mechanisms together can generate power law distributions observed in online communities. Data from 28 online communities is used to calibrate, validate, and analyze the simulation. Simulated communication networks are randomly generated according to parameters for each hypothesis. The fit of the power law distribution in the model testing subset is then compared against the fit for these simulated networks. The major finding is that, in contrast to research in more general network settings, neither preferential attachment nor any other single mechanism alone generates a power law distribution. Instead, a blended model of preferential attachment with other social network formation mechanisms was most consistent with power law distributions seen in online communities. This suggests the need to move away from stylized explanations of network emergence that rely on single theories toward more highly socialized and multitheoretic explanations of community development.

Toward generalizable sociomaterial inquiry: a computational approach for zooming in and out of sociomaterial routines

Abstract: In this paper, a computational, mixed methods approach that combines qualitative analysis with a novel approach to sequence analysis for studying the entanglement of human activities and digital capabilities in organizational routines is described. The approach is scalable across multiple contexts and complements the dominant idiographic modes of sociomaterial inquiry. The approach is rooted in the epistemology of a "rational reconstruction" consistent with the interpretive stance underlying the sociomaterial position. It arms researchers with the means to seek and uncover regularities in the ways human activities and digital capabilities become entangled across contexts by enabling the identification and articulation of generalizable patterns of sociomaterial activity. The computational approach is founded on sequence-analytic techniques that originated from the field of computational biology (genetics), but are now gaining popularity in the study of temporally ordered social phenomena such as organizational routines. These techniques are extended by drawing upon theoretical insights gained within sociomaterial scholarship on how the digital and the social become entangled. By detecting the variation in activities, actors, artifacts, and affordances that comprise what we denote a sociomaterial routine, the approach directly attends to ways in which human actors and the material features of technology become entangled in patterns of practice. Beyond motivating and describing the approach, the different insights that researchers can generate through its application in the study of the digitalization of organizational routines are illustrated. We conclude by suggesting several lines of inquiry that can enrich sociomaterial research.