MY PAPERS

Organizations usually have difficulty adjusting to technology-enabled changes. Recent research has examined the interaction between technology and the key job outcomes of employees. But this research stream has done so using a linear lens even though this interplay has been recognized to be dynamic and complex. We challenge here this linearity assumption. We theorized that enterprise system (ES) use influences post-implementation job scope, and the change from pre- to post-implementation job scope perceptions will have a complex effect on job outcomes that are best captured by a polynomial model. Drawing on the anchoring-and-adjustment perspective in decision-making research, our polynomial model highlights the dynamic nature of employee reactions to changes in job scope brought about by an ES implementation that cannot be captured by traditional linear models. We found support for our model using data collected in a longitudinal field study from 2,794 employees at a telecommunications firm over a period of 12 months. Our findings highlight the key role an ES implementation can have in changing the nature of jobs and how those changes can, in turn, drive job performance and job satisfaction. This research also extends classical job characteristics research by arguing for a more complex relationship between the scope and outcomes of technology-supported jobs.

Investors and companies have always aspired to make informed investment decisions by using diverse information sources. With the explosion of information sources on the web and emergence of predictive analytics, many investors moved beyond traditional financial measures, as key predictors of firm performance, to textual content from analysts�?? reports. Empirical research suggests that these information sources complement each other by providing a clear picture of firm performance, but remains silent on the role of additional textual content that continues to emerge and reach more potential investors on the web. We build on this line of research to examine the effect of textual content from business journals in conjunction with summary measures on cumulative abnormal returns. We use sentiment analysis with machine learning and econometrics methods to examine content extracted from textual articles about S&P 500 index companies that are published in the Wall Street Journal (years 2013�??2016). Textual analysis of business journals in conjunction with quantitative measures revealed direct and interaction effects on abnormal returns over time. We also tested for robustness by replicating the analysis with different variable operationalization and observe consistent patterns. Relative to positive sentiments, negative sentiments have more profound effects on cumulative abnormal returns. The effect of positive sentiments becomes weaker when past quantitative measures are high. As information sources continue to emerge on the web, this work makes key contributions to the practice of sentiment analysis in financial markets.

Data breaches are a major threat to organizations from both financial and customer relations perspectives. We developed a nomological network linking post-breach compensation strategies to key outcomes, namely continued shopping intentions, positive word-of-mouth, and online complaining, with the effects being mediated by customers�?? justice perceptions. We conducted a longitudinal field study investigating Target�??s data breach in 2013 that affected more than 110 million customers. We examined customers�?? expectations toward compensation immediately after the breach was confirmed (survey 1) and their experiences after reparations were made (survey 2). Evidence from polynomial regression and response surface analyses of data collected from 388 affected customers showed that customers�?? justice perceptions were influenced by the actual compensation provided as well as the type and extent of compensation an organization could and should have provided (i.e., customers�?? compensation expectations). Interestingly, both positive and negative expectation disconfirmation led to less favorable justice perceptions compared to when expectations were met. Justice perceptions were, in turn, associated with key outcomes. We discuss implications for research on data security, information systems, and justice theory.

Drawing from the knowledge management literature, we developed and tested a nomological network related to knowledge sharing �?? i.e., knowledge seeking and knowledge providing using knowledge management systems. We investigated the effect of cultural contingencies on the prediction of both knowledge seeking and knowledge providing. In addition, we examined the effect of knowledge sharing using a KMS on employee job performance. We conducted a study using a field survey of 224 employees in an organization in the People�??s Republic of China and United States. We found that sensitivity to image and sensitivity to organizational incentives influenced both knowledge seeking and knowledge providing, and the effect was varied across individuals with different cultural values. For example, our findings suggested that the negative relationship between sensitivity to image and knowledge seeking was stronger for individuals with collectivistic values than for those with individualistic values. We also found that both knowledge seeking and knowledge providing led to better job performance.

There are both formal and informal cries that UTAUT and, by association, the stream of research on technology adoption has reached its limit, with little or no opportunities for new knowledge creation. Such a conclusion is ironic because the theory has not been sufficiently and suitably replicated. It is possible that misspecifications in the various replications, applications, and extensions have led to the incorrect conclusion that UTAUT is more robust than it really is, leaving limited opportunities for future work. Although work on UTAUT has included important variables, predictors, and moderators, absent a faithful use of the original specification, it is impossible to assess the true nature of the effects of the original and additional variables. The present meta-analysis uses 25,619 effect sizes reported by 737,112 users in 1,935 independent samples to address this issue. Consequently, we develop a clear current state-of-the-art and revised UTAUT that extends the original theory with new endogenous mechanisms from different, other theories (i.e., technology compatibility, user education, personal innovativeness, and costs of technology) and new moderating mechanisms to examine the generalizability of UTAUT in different contexts (e.g., technology type and national culture). Based on this revised UTAUT, we present a research agenda that can guide future research on the topic of technology adoption in general and UTAUT in particular.

We developed a contextualized model to predict the use of technology among the urban poor. Based on the core idea that, in developing countries, the urban poor face different challenges from those of the rural poor, we argued that five key facilitating conditions (FC)�??namely, infrastructure, technical and support services, legal and regulatory framework, financial factors and affordability, and self-efficacy�??are the central drivers of both non-instrumental and instrumental use of mobile devices. Situated in the unified theory of acceptance and use of technology (UTAUT), these FC were found to be important drivers in our study conducted among 396 mobile phone users in a poor urban area in Malaysia. In addition to extending a key UTAUT construct to an important context, our results have important practical implications, in that, to increase non-instrumental and instrumental use, careful attention should be given to co-development of mobile phone friendly policies pertaining to FC in developing countries.

This paper is motivated by the widespread availability of AI tools, whose adoption and consequent benefits are still not well understood. As a first step, some critical issues that relate to AI tools in general, humans in the context of AI tools, and AI tools in the context of operations management are identified. A discussion of how these issues could hinder employee adoption and use of AI tools is presented. Building on this discussion, the unified theory of acceptance and use of technology is used as a theoretical basis to propose individual characteristics, technology characteristics, environmental characteristics and interventions as viable research directions that could not only contribute to the adoption literature, particularly as it relates to AI tools, but also, if pursued, such research could help organizations positively influence the adoption of AI tools.

Purpose �?? Advances in information technology coupled with the need to build resilience against disruptions by pandemics like COVID-19 continue to emphasize offshoring services in the software industry. Service-level agreements (SLAs) have served as a key mechanism for safeguarding against risk in offshore service arrangements. Yet, variations in service cost and quality persist. This study aims to open up the blackbox linking SLAs to offshore project outcomes by examining (1) how the provisions in these contracts affect the ability of project teams �?? the work unit primarily in charge of producing the offshored service �?? to achieve their objectives and fulfill client requirements and (2) how differences in contextual factors shape the effects of these provisions. Design/methodology/approach �?? The authors incorporate the role of organizational work practice differences to understand the challenges that 270 offshore project teams faced in coordinating and integrating technical and business domain knowledge across organizational boundaries in offshore arrangements. The examined offshore IT projects were managed by a leading software vendor in India and several of its US-based clients over a three-year period. Findings �?? The authors demonstrate that organizational work practice differences represent a barrier to offshore project success, and that project team transition processes are an important mechanism for overcoming these barriers. Moreover, the authors find that transition processes represent key mediating mechanisms through which SLA provisions affect offshore project outcomes. Originality/value �?? The study findings shed light on how SLAs shape software project teams�?? balance between activities aimed at meeting client needs and those aimed at containing costs.

This research investigates an artifact-centric view of the telecommuting experience, examining how system use and software quality influence job outcomes of telecommuters. We develop and test our moderated mediation model in a cross-organizational study of 184 teleworkers. Results show the extensive use of telecommuting systems negatively impacts social exchange processes and job satisfaction, organizational commitment, and job performance of telecommuters, underscoring limitations of virtual interactions. However, high-quality software can moderate this negative effect, because the negative relationship between telecommuting system use and job outcomes becomes nonsignificant, as telecommuting software quality increases.

Although research has suggested that enterprise system (ES) implementations have major impacts on employee job characteristics and outcomes, there has been limited research that has examined the impacts of ES implementations on interpersonal relationships over time. Building on and extending recent studies that have examined changes in employee job characteristics and outcomes during an ES implementation, this research examined the nature, extent, determinants, and outcomes of changes in an important interpersonal relationship construct�??coworker exchange (CWX)�??following an ES implementation. CWX is considered a critical aspect of employees�?? job and an important determinant of their success in the workplace. Drawing on social exchange theory, we theorize that employees will perceive a change in CWX following an ES implementation. A longitudinal field study over a period of 6 months among 249 employees was conducted. Latent growth modeling was used to analyze the data. We found that employees�?? work process characteristics, namely perceived process complexity, perceived process rigidity, and perceived process radicalness, significantly explained change, i.e., decline in our case, in CWX during the shakedown phase of an ES implementation. The decreasing trajectory of change in CWX led to declining job performance and job satisfaction. The role of CWX and its importance in the context of ES implementations is a key novel element of this work.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>