Knowledge that Transforms

The digital age has seen the rise of service systems involving highly distributed, heterogeneous, and resource-integrating actors whose relationships are governed by shared institutional logics, standards, and digital technology. The cocreation of service within these service systems takes place in the context of a paradoxical tension between the logic of generative and democratic innovations and the logic of infrastructural control. Boundary resources play a critical role in managing the tension as a firm that owns the infrastructure can secure its control over the service system while independent firms can participate in the service system. In this study, we explore the evolution of boundary resources. Drawing on Pickering’s (1993) and Barrett et al.’s (2012) conceptualizations of tuning, the paper seeks to forward our understanding of how heterogeneous actors engage in the tuning of boundary resources within Apple’s iOS service system. We conduct an embedded case study of Apple’s iOS service system with an in-depth analysis of 4,664 blog articles concerned with 30 boundary resources covering 6 distinct themes. Our analysis reveals that boundary resources of service systems enabled by digital technology are shaped and reshaped through distributed tuning, which involves cascading actions of accommodations and rejections of a network of heterogeneous actors and artifacts. Our study also shows the dualistic role of power in the distributed tuning process.

Despite the impressive progress in understanding the benefits and challenges related to enterprise system (ES) implementations—such as enterprise resource planning (ERP) systems—little is known about how the support structures traditionally used by organizations to help employees cope with a new ES affect employee outcomes related to the system and their jobs. Likewise, little is known about how existing peer advice ties in the business unit influence these outcomes after an ES implementation. Understanding employee outcomes is critical because of their ramifications for long-term ES success. This paper examines the impacts of four traditional support structures (namely, training, online support, help desk support, and change management support), and peer advice ties on four key employee outcomes (namely, system satisfaction, job stress, job satisfaction, and job performance). This paper also seeks to show that it is peer advice ties that best fill the complex informational needs of employees after an ES implementation by providing the right information at the right time and in the right context. The proposed model was tested in a field study conducted in one business unit of a large telecommunications company and gathered data from 120 supplier liaisons over the course of a year. Both traditional support structures and peer advice ties were found to influence the various outcomes, even after controlling for pre-implementation levels of the dependent variables. In all cases, peer advice ties was the strongest predictor, thus underscoring the importance of this critical internal resource.

The argument proffered in this paper is that use of enterprise social networking technologies can increase the accuracy of people’s metaknowledge (knowledge of “who knows what” and “who knows whom”) at work. The results of a quasi-natural field experiment in which only one of two matched-sample groups within a large financial services firm was given access to the enterprise social networking technology for six months revealed that by making people’s communications with specific partners visible to others in the organization, the technology enabled observers to become aware of the communications occurring amongst their coworkers and to make inferences about what and whom those coworkers knew based on the contents of the messages they sent and to whom they were sent. Consequently only individuals in the group that used the social networking technology for six months improved the accuracy of their metaknowledge (a 31% improvement in knowledge of who knows what and an 88% improvement in knowledge of who knows whom). There were no improvements in the other group over the same time period. Based on these findings, how technologically enabled “ambient awareness”—awareness of ambient communications occurring amongst others in the organization—can be an important antecedent for knowledge acquisition is discussed.

This paper investigates how friendship relationships act as pipes, prisms, and herding signals in a large online, peer-to-peer (P2P) lending site. By analyzing decisions of lenders, we find that friends of the borrower, especially close offline friends, act as financial pipes by lending money to the borrower. On the other hand, the prism effect of friends’ endorsements via bidding on a loan negatively affects subsequent bids by third parties. However, when offline friends of a potential lender, especially close friends, place a bid, a relational herding effect occurs as potential lenders are likely to follow their offline friends with a bid.

Consumer-generated ratings typically share an objective of illuminating the quality of a product or service for other buyers. While ratings have become ubiquitous and influential on the Internet, surprisingly little empirical research has investigated how these online assessments reflect the opinion of the population at large, especially in the domain of professional services where quality is often opaque to consumers. Building on the word-of-mouth literature, we examine the relationship between online ratings and population perceptions of physician quality. We leverage a unique dataset which includes direct measures of both the offline population’s perception of physician quality and consumer-generated online reviews. As a result, we are able to examine how online ratings reflect patients’ opinions about physician quality. In sharp contrast to the widely voiced concerns by medical practitioners, we find that physicians who are rated lower in quality by the patient population are less likely to be rated online. Although ratings provided online are positively correlated with patient population opinions, the online ratings tend to be exaggerated at the upper end of the quality spectrum. This study is the first to provide empirical evidence of the relationship between online ratings and the underlying consumer-perceived quality, and extends prior research on online word-of-mouth to the domain of professional services.

Fear appeals, which are used widely in information security campaigns, have become common tools in motivating individual compliance with information security policies and procedures. However, empirical assessments of the effectiveness of fear appeals have yielded mixed results, leading IS security scholars and practitioners to question the validity of the conventional fear appeal framework and the manner in which fear appeal behavioral modeling theories, such as protection motivation theory (PMT), have been applied to the study of information security phenomena. We contend that the conventional fear appeal rhetorical framework is inadequate when used in the context of information security threat warnings and that its primary behavioral modeling theory, PMT, has been misspecified in the extant information security research. Based on these arguments, we propose an enhanced fear appeal rhetorical framework that leverages sanctioning rhetoric as a secondary vector of threats to the human asset, thereby adding the dimension of personal relevance, which is critically absent from previous fear appeal frameworks and PMT-grounded security studies. Following a hypothetical scenario research approach involving the employees of a Finnish city government, we validate the efficacy of the enhanced fear appeal framework and determine that informal sanction rhetoric effectively enhances conventional fear appeals, thus providing a significant positive influence on compliance intentions.