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Innovative theory in the digital age: Clarifying our positions
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2023 | Journal of Information Technology | Citations: 0
Authors: Grover, Varun; Lyytinen, Kalle

Abstract: In this paper, we respond to Baiyere, Berente and Avital (2023) who misinterpret ... Expand

Abstract: In this paper, we respond to Baiyere, Berente and Avital (2023) who misinterpret portions of our article. In this essay, we engage in a dialog with these authors and clarify our positions and even reinforce some points the authors themselves are making. Collapse

Semantic filters: media richness theory

Topics: big data media richness communication service infrastructure reference discipline IS discipline

Methods: theory development conceptual analysis synthesis

Theories: media synchronicity theory media richness theory general systems theory socio technical theory transaction cost economics
Knowledge Sharing in Platform Ecosystems through Sponsored Online Communities: The Influence of User Roles and Media Richness

2023 | European Conference On Information Systems | Citations: 0
Authors: Kauschinger, Martin; Münch, Christian; Schreieck, Maximilian

Abstract: Platform ecosystems are characterized by knowledge boundaries that arise betwee ... Expand

Abstract: Platform ecosystems are characterized by knowledge boundaries that arise between the platform owner and third-party developers. Although major platform owners such as Microsoft and SAP nurture sponsored online communities to overcome knowledge boundaries in their ecosystem, the peculiarities of such communities are yet to be examined. Drawing upon the lead user and media richness theory, we investigate how different user roles and media types influence the value of a knowledge contribution in such communities. Analyzing one million answers from the SAP Community, we uncovered that both lead users and sponsor representatives are more likely to provide valuable knowledge contributions compared to normal users. Moreover, we show that attachments, code snippets, and links significantly enhance the value of a knowledge contribution. Surprisingly, we find a strong negative moderation effect of code snippets on the contributions of sponsor representatives but a strong positive moderation effect on the contributions of lead users. Collapse

Semantic filters: media richness theory

Topics: media richness online community usability digital ecosystem enterprise information system

Methods: regression analysis method descriptive statistic archival research natural language processing design artifact

Theories: media richness theory
Leveraging paradigms to foster theoretical contributions in information systems research
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2023 | Journal of Information Technology | Citations: 0
Authors: Marchildon, Philippe; Hadaya, Pierre

Abstract: Despite all our theorizing efforts and the importance that we and our major info ... Expand

Abstract: Despite all our theorizing efforts and the importance that we and our major information systems (IS) journals ascribe to theory development, making theoretical contributions to our field remains challenging. Recognizing that we cannot develop better theories without improving how we theorize, our field is now engaged in an in-depth discussion of the theorizing process. This manuscript contributes to this discussion by exposing why and how leveraging paradigms when theorizing can foster theoretical contributions within our field. Its premise is that we need to stop working within the confines of a limited set of well-entrenched paradigms and move beyond what is known as true and correct to come up with improvements that significantly alter the way we come to rationalize, explain, and master our world. Anchored on this premise, this manuscript begins by discussing the origin, role, and features of paradigms as well as explaining that they are of three different but interrelated forms (i.e., metaphysical, sociological, and artefactual). The manuscript then adds to this understanding of paradigms by detailing the unique relationships that tie paradigms of each form to theory and explaining why taking advantage of these unique bonds when theorizing may help us make theoretical contributions. Lastly, to foster theoretical contributions within our field, this manuscript proposes a set of guidelines to help us leverage paradigms of the different forms when theorizing. Collapse

Semantic filters: media richness theory

Topics: reference discipline technology adoption media richness systems development information system use

Methods: theory development theoretical contribution design artifact

Theories: technology acceptance model adaptive structuration theory technology acceptance theory structuration theory media richness theory
Reviewing from a Distance: Uncovering Asymmetric Moderations of Spatial and Temporal Distance between Sentiment Negativity and Rating

2023 | Management Information Systems Quarterly | Citations: 0
Authors: Neumann, Jürgen; Gutt, Dominik; Kundisch, Dennis

Abstract: Drawing on construal level theory, prior literature has found a positivity bias ... Expand

Abstract: Drawing on construal level theory, prior literature has found a positivity bias in online ratings when consumers evaluate an experience from a psychological distance, whether spatial or temporal. Selfdistancing theory posits that psychological distance enables individuals to reflect on psychologically distant negative experiences more genuinely, in a less biased way. This raises the question of whether the positivity bias in ratings due to psychological distance persists for negative experiences. To address this question, we collected data from a large review platform that enables the identification of reviewers' spatial and temporal distance. The negativity of an experience was operationalized via review text sentiment. We introduced spatial and temporal distance as moderators between sentiment negativity and ratings and found a negative moderation by spatial distance and a positive moderation by temporal distance. Our findings indicate that the relationship between sentiment negativity and rating grows stronger under spatial distance and gets weaker under temporal distance. Text mining confirmed selfdistancing as the driver behind the spatial moderation and construal levels as the driver behind the temporal moderation. We attribute the asymmetric moderations to differences in the tangibility of spatial distance (more tangible) and temporal distance (less tangible). These results improve our understanding of reviewing behavior and can help platforms de-bias ratings. Collapse

Semantic filters: media richness theory

Topics: online review decision making user-generated content website media richness

Methods: product review theory development robustness check sentiment analysis descriptive statistic

Theories: linguistic category model construal level theory media richness theory
Do Human Faces Matter? Evidence from User-Generated Photos in Online Reviews

2023 | International Conference on Information Systems | Citations: 0
Authors: Sun, Yan; Yang, Sung-Byung

Abstract: The importance of online reviews in e-commerce cannot be overstated, but few st ... Expand

Abstract: The importance of online reviews in e-commerce cannot be overstated, but few studies have focused on user-generated photos (UGPs) in reviews, especially human faces in UGPs. In this study, using Amazon online review data, we divide online reviews into text with UGPs, UGPs with faces, and UGPs with multiple faces based on the presence and number of faces, and discuss their effects on review helpfulness. Drawing on media richness theory and emotional contagion effects, we argue that faces provide a richness of information that can increase the effectiveness of photos as information mediators. Moreover, we argue that facial expressions and emotional states, as read-in and read-out devices that convey individual emotions, affect other consumers' perceived review helpfulness. This study contributes to the literature on online reviews, media richness theory, and emotional contagion effects, while providing practical insights for e-commerce sites and consumers seeking to write effective online reviews. Collapse

Semantic filters: media richness theory

Topics: online review media richness user-generated content Microsoft Azure application programming interface

Methods: descriptive statistic sentiment analysis literature study

Theories: media richness theory
The effects of social media posts’ characteristics on customer engagement: Evidence from WeChat
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2023 | Information & Management | Citations: 0
Authors: Xu, Yue; Chen, Weiping; Ow, Terence T.

Abstract: Many companies are using social media as emerging marketing channels in hopes of ... Expand

Abstract: Many companies are using social media as emerging marketing channels in hopes of encouraging engagement by customers. This study explored the effect of multiple social media post cues on customer engagement. By dis tinguishing WeChat posts’ characteristics into outer- and inner-layer features, the findings suggest that outerlayer features (title linguistic vividness and top position) have positive effects on reads, and inner-layer fea tures (post vividness and containing user-generated content) encouraged more likes, shares, and comments. In addition, by assigning post contents into sales and non-sales-related categories, we found the former attracts more comments and the latter is more helpful in promoting likes and shares. Further, within sales-related posts, storytelling category will receive more likes, whereas functional category boosts the number of shares. Collapse

Semantic filters: media richness theory

Topics: WeChat social media media richness marketing management Facebook

Methods: chi squared test regression analysis method robustness check descriptive statistic qualitative coding

Theories: media richness theory
How Do Knowledge Management Strategy and Communication Channels Influence Innovation?

2023 | International Conference on Information Systems | Citations: 0
Authors: Xu, Zheyi; Mithas, Sunil; Vreede, Triparna de

Abstract: How do knowledge management (KM) strategy and communication channels influence ... Expand

Abstract: How do knowledge management (KM) strategy and communication channels influence individuals' innovative behavior?We answer this research question by drawing on media richness theory, and studying how two KM strategies (codification and personalization) and communication approaches with varying degree of media richness (i.e., telephone communication and email communication) shape innovative behavior at the individual level. Our analyses of the survey collected from more than 900 employees from several firms belonging to a leading conglomerate reveal three findings. First, we find that codification KM strategy has a positive effect on employees' innovative behavior. Second, we find that both face-to-face communication and telephone communication foster innovative behavior, but such an effect is absent for email communication presumably due to its lack of media richness. Finally, we find that the codification KM approach diminishes the advantages of face-to-face communication in innovative behavior. We discuss implications for research and practice. . Firms often adopt IT to mimic inperson interactions and implement enterprise social systems that are meant to overcome knowledge sharing challenges brought on by geographical separation (Malgonde et al., 2023;Ou et al., 2014;Susarla et al., 2012). However, not all communication tools are created equal and they provide different levels of communication cues (i.e., different levels of media richness) to facilitate innovative behavior. In particular, communication channels such as emails and voice communication, with or without video (e.g., telephone and online meetings), provide varying degree of communication cues (Gubbins & Dooley, 2014;Moffett et al., 2021). Besides communication channels, firms also use different types of knowledge management (KM) strategies to influence innovative behavior. These KM strategies can also influence the knowledge transfer by using different communication channels.Although prior research has made impressive strides to enhance our understanding of the individual roles of KM strategy and communication channels on innovation (Al Shaar et al., 2015;López-Nicolás & Meroño-Cerdán, 2011;Trantopoulos et al., 2017), few studies have examined the combined effect of KM strategies and communication channels on innovation. Accordingly, in this study, we investigate the following research questions: (1) How do different communication channels facilitate innovative behavior? (2) How do KM strategies and communication channels jointly facilitate innovative behavior? Drawing upon the media richness theory (Daft & Lengel, 1986;Ishii et al., 2019), we focus on three communication channels that vary in their media richness: face-to-face communication, telephone/voice communication, and text/email communication. In addition, we investigate the effect of two KM strategies (i.e., structured strategy termed as codification versus unstructured strategy termed as personalization) on innovative behavior and how two KM strategies moderate the effect of communication channels on innovative behavior. We test our hypotheses using survey data collected from teams participating in the innovation program at the Tata group, one of the most reputed and largest conglomerates in the world.Our results suggest that codification strategy is associated with innovative behavior. Face-to-face communication and telephone/voice communication leads to similar levels of improvement in innovative behavior. However, text/email communication does not improve innovation, presumably because of the lack of media richness. Further, we investigate the role of KM strategies in moderating the effect of communication channels, and find that the codification strategy diminishes the positive effect of face-toface communication on innovation. Collectively, these findings extend the growing literature on digital innovation and provide important implications for research and practice. CodificationThis describes whether the firm's innovation process or knowledge management process is standardized or not. It is a binary variable (codification=1, personalization=0).( Srivastava et al., 2013) f2f communicationThe extent to which employees communicate via face-to-face. It is measured using one items scoring from 1 (strongly disagree) to 5 (strongly agree) and is treated as a continuous variable.Self-developed Telephone communicationThe extent to which employees communicate via telephone/voice chat. It is measured using one items scoring from 1 (strongly disagree) to 5 (strongly agree) and is treated as a continuous variable.Self-developed Email communicationThe extent to which employees communicate via emails/text chat. It is measured using one item scoring from 1 (strongly disagree) to 5 (strongly agree) and is treated as a continuous variable.Self-developed innovative behavior at an individual level in teams. We leveraged data from more than 959 employees in a large multinational conglomerate to document several findings. First, we find that codification is better than personalization in eliciting individual's innovative behavior, presumably because of standardization and low complexity. Second, we find that face-to-face communication, telephone communication, and email communication can all facilitate team collaboration and innovation, but they show nuanced differences. Telephone communication is equivalent to face-to-face communication suggesting that knowledge sharing happens through verbal cues, requiring fewer non-verbal cues. We find that email communication is not effective in improving innovation, presumably because (1) email lacks the benefit of synchronous communication and immediate feedback, and (2) knowledge sharing requires not only textual information but also verbal cues, such as tones of voice.Finally, we find that the codification strategy negatively moderates the relationship between face-to-face communication and innovative behavior, but the moderating effect does not exist for telephone and email communication. These findings indicate that high level of codification tends to diminish the effects of interpersonal relationship and the rich media provided by face-to-face communication on innovation. As IT-supported communication channels lack the merits of building interpersonal relationships, codification would not affect innovative behavior initiated by telephone and email communication. In summary, our results suggest that knowledge sharing via non-verbal communication, which is enabled by face-to-face communication, is important to innovation, and management of non-verbal knowledge is better facilitated via personalization strategy instead of codification strategy. Together these findings provide important KM Strategy, Communication Channels, and InnovationOur findings provide several implications for research. First, our findings related to the effect of communication channels on innovative behavior provide a greater insight into the antecedents of individuals' innovative behavior. As an individual-level construct, innovative behavior has been explained by individual-level antecedents, such as interpersonal relationships (Abdullah et al., 2016;Li & Hsu, 2018), but there is limited understanding on how various communication channels facilitate innovation. This presents a critical gap in innovation research. We address this gap by examining the role of IT in supporting communication, knowledge sharing, and innovation (Matta et al., 2017;Saraf et al., 2013). We also show the need for differentiating among different types of communication channels because they influence innovative behavior differently. Thus, this research contributes to a more holistic understanding of innovative behavior by considering factors beyond the typically explored individual-level antecedents.Second, we extend our understanding of media richness theory from the KM perspective. Although media richness theory proposes that increased media richness results in better communication outcomes, our research shows that telephone communication is as effective as face-to-face communication in motivating innovative behavior. We further show that email communication is less effective than telephone communication in stimulating innovative behavior suggesting that synchronous communication with nonverbal cues may be an effective communication mode to facilitate innovation. In other words, by empirically establishing the limitations of email for innovative tasks, we offer evidence that IT-intensive methods might not always be suitable for knowledge sharing in innovation contexts. While both face-to-face and telephone communications have homogeneous effects on innovative behavior, non-verbal cues might actually introduce complexity rather than value.Third, we answer the call for the simultaneous examination of human knowledge artifacts and technical artifacts when investigating digital innovation (Hund et al., 2021;Majchrzak & Griffith, 2020). In addition, our findings provide empirical evidence of considering the joint effect of KM strategies (i.e., the human knowledge artifact) and communication channels (i.e., the technical artifact) on digital innovation. Although prior literature proposes that the choice of codification or personalization is contingent on their knowledge reuse contexts (Kumar & Ganesh, 2011;Liu et al., 2013), these studies do not provide clear guidance of how to choose between codification and personalization when considering different communication channels for knowledge management. Our research builds on this proposition and shows (1) that the choice of codification (versus personalization) depends on the use of communication channel, and (2) that high codification may diminish the beneficial effects of face-to-face communication. Managerial ImplicationsOur research also provides several practical implications. First, our findings suggest that firms should tailor their deployment of communication tools considering their impact on innovative behavior. Managers should emphasize face-to-face and telephone communications over email communications if the goal is to promote innovation. This finding is relevant in the post-pandemic era when many firms are rethinking or transforming their working mode temporarily or permanently. Understanding that telephone communication can be as effective as face-to-face interaction can help organizations to be more diverse in their collaboration approaches. Organizations can also promote innovation by developing IT solutions that mimic the benefits of face-to-face and telephone communication while retaining the efficiency of email communication. For instance, firms can allocate more budget to implement voice-based electronic communication tools that replace email communication.Second, our findings provide insights to firms to synchronize their KM strategy with the deployment of communication channels to improve innovation. Firms should choose between codification and personalization depending on what communication channel the innovation teams adopt. For instance, when team members mostly meet in person to discuss ideas, personalization through non-verbal communication is likely to be a better way for them to generate innovative ideas.Finally, the findings of the study underscore the critical need for organizations to carefully consider their communication and KM strategy. One strategy does not fit all needs. It is imperative that organizations not KM Strategy, Communication Channels, and Innovation Collapse

Semantic filters: media richness theory

Topics: innovation management electronic mail knowledge management strategy usability telephone

Methods: statistical hypothesis test survey descriptive statistic theory development cross sectional survey

Theories: media richness theory
When Do Evaluators Publicly Express Their Legitimacy Judgments? An Inquiry into the Role of Peer Endorsement and Evaluative Mode
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2023 | Organization Science | Citations: 0
Authors: van den Broek, Tijs; Langley, David J.; Ehrenhard, Michel L.; Groen, Aard

Abstract: Legitimacy theory describes how individuals evaluate an organization’s behavior, ... Expand

Abstract: Legitimacy theory describes how individuals evaluate an organization’s behavior, form propriety evaluations, and subsequently decide whether to publicly express their legitimacy judgments. These individual judgments are influenced by sources of collective validity, for example, from recognized authority or from peer endorsement. Whereas most research on this topic has focused on the effects of authority, we study the influence of peer endorsement on the public expression of legitimacy judgments. Additionally, we assess evaluators’ preparedness to expend cognitive effort, that is, their evaluative mode, as an important condition under which judgment expressions are made. We present a set of three vignette experiments and one field study, all situated in social media that are quickly becoming the dominant setting for the expression of legitimacy judgments. This research provides new evidence that peer endorsement stimulates evaluators to express their judgments, particularly for evaluators who expend limited cognitive effort. Additionally, we find that evaluators in the active and passive evaluative modes act differently when their propriety evaluations are based on instrumental, moral, or relational considerations. These findings extend current legitimacy theory about how peer endorsement functions as a source of validity and when individual evaluators decide to publicly express their legitimacy judgments. This is important because individuals’ public expressions can bring about a cascade of judgments that change the consensus on an organization’s legitimacy, potentially contributing to institutional change.History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory.Supplemental Material: The online appendices are available at https://doi.org/10.1287/orsc.2022.1604. Collapse

Semantic filters: media richness theory

Topics: website information privacy concern missing data social media privacy

Methods: experiment survey statistical power analysis field study theory development

Theories: organizational behavior theory media richness theory self categorization theory social identity theory
Useful Products in Information Systems Theorizing: A Discursive Formation Perspective
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2022 | Journal of the Association for Information Systems | Citations: 20
Authors: Hassan, Nik; Lowry, Paul; Mathiassen, Lars

Abstract: Although there is a growing understanding of theory building in the information ... Expand

Abstract: Although there is a growing understanding of theory building in the information systems (IS) field, what constitutes IS theory remains the subject of intense debate. Following Weick's recommendation to focus on the products of theorizing rather than on what theories are, we assemble and analyze 12 products-question, paradigm, law, framework, myth, analogy, metaphor, model, concept, construct, statement, and hypothesis-that are rarely discussed together in any depth in the IS field and combine them into a coherent theorizing framework. Drawing on Foucault's thesis of discursive formation we characterize the unique role of each product in IS theorizing and illustrate the usefulness of the framework in relation to both classical IS theorizing in the form of media richness theory as well as next-generation theorizing. . He is on the senior editorial board of JMIS and is a senior editor at both JAIS and ISJ. His research interests include (1) organizational and behavioral security and privacy; (2) online deviance, online harassment, and computer ethics; (3) HCI, social media, and gamification; and (4) business analytics, decision sciences, innovation, and supply chains. . His research focuses on digital innovation, on IT development and management, and on the use of IT for health services. He has published extensively in major information systems, management, and software engineering journals, and has co-authored several books, including Professional Systems Collapse

Semantic filters: media richness theory

Topics: media richness usability

Methods: theory development survey qualitative content analysis

Theories: media richness theory information systems theory
PRIVACY CALCULUS OF PROVIDERS ON PEER-TO-PEER PLATFORMS: THE EFFECT OF MEDIA RICHNESS ON INFORMATION DISCLOSURE WHEN ADVERTISING ONESELF

2022 | European Conference On Information Systems | Citations: 0
Authors: Mehrwald, Pascal

Abstract: ... Expand

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Semantic filters: media richness theory

Topics: media richness usability information privacy concern perceived usefulness peer-to-peer model

Methods: experiment survey partial least squares path modeling descriptive statistic structural equation modeling

Theories: media richness theory privacy calculus theory

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Found 195 articles

Innovative theory in the digital age: Clarifying our positions

Knowledge Sharing in Platform Ecosystems through Sponsored Online Communities: The Influence of User Roles and Media Richness

Leveraging paradigms to foster theoretical contributions in information systems research

Reviewing from a Distance: Uncovering Asymmetric Moderations of Spatial and Temporal Distance between Sentiment Negativity and Rating

Do Human Faces Matter? Evidence from User-Generated Photos in Online Reviews

The effects of social media posts’ characteristics on customer engagement: Evidence from WeChat

How Do Knowledge Management Strategy and Communication Channels Influence Innovation?

When Do Evaluators Publicly Express Their Legitimacy Judgments? An Inquiry into the Role of Peer Endorsement and Evaluative Mode

Useful Products in Information Systems Theorizing: A Discursive Formation Perspective

PRIVACY CALCULUS OF PROVIDERS ON PEER-TO-PEER PLATFORMS: THE EFFECT OF MEDIA RICHNESS ON INFORMATION DISCLOSURE WHEN ADVERTISING ONESELF