The impact of data quality and analytical capabilities on planning performance: insights from the automotive industry

Conventional wisdom suggests that data quality plays a central role for compiling valid and reliable plans to make the right decisions. At the same time, it is acknowledged that planning processes are both data and knowledge intensive and characterized by the human-computer interface. However, there are limited academic investigations on how data quality and analytical capabilities simultaneously impact planning performance. Drawing on the conceptual approach of business analytics, we introduce the notion of analytical capabilities, which is operationalized through three distinct resources: IT-usability, user competence, and analytical execution. To assess the impact of data quality and analytical capabilities on planning performance, we develop a structural equation model, which is then tested using data from the automotive industry. Our results suggest that analytical capabilities are a significant mediator for the effect of data quality on planning performance

Why Don’t You Use It? Assessing the Determinants of Enterprise Social Software Usage: A Conceptual Model Integrating Innovation Diffusion and Social Capital Theories

Social software has recently attracted the attention of organizations. Nowadays organizational social software applications are often bundled within enterprise social software platforms (ESSPs). Given the popularity of social software in the private realm (e.g., Facebook), organizations expect their employees to use the ESSPs in the same frequency right after rollout. However, employees do not always meet this expectation, leading to internal social software platforms that starve for attention. While there is some research investigating users’ motives to adopt social software in the private realm, empirical research on social software adoption in an enterprise setting is still scarce. As a step towards closing this research gap, we collected a rich set of qualitative data aiming at investigating the determinants of employees’ ESSP usage. Based on theory and the collected qualitative data, this paper proposes a conceptual ESSP adoption model combining the theoretical perspectives of innovation diffusion theory and social capital theory

Measuring the Impact of Organizational Social Web Site Usage on Work Performance: A Multilevel Model

This paper describes the development of a multilevel model for investigating the impact of organizational social web site (SWS) usage on individual and team performance. Despite the SWS focus on collective phenomena – such as crowd sourcing and collective intelligence – previous research on SWS usage in general does not investigate it as a multilevel phenomenon. Our paper addresses this gap by drawing on existing guidelines for multilevel theorizing. We thus propose that SWS usage impacts individual and team performance through its improved collaboration capabilities. Organizational learning and social capital theories serve as the theoretical foundation. Ultimately, we present a multilevel model as the foundation for future empirical research on SWS usage’s impact on individual and team performance. Our research’s contribution lies in the theoretical derivation of a multilevel model

Connect Me! Antecedents and Impact of Social Connectedness in Enterprise Social Software

Companies are increasingly adopting social software to support collaboration and networking. Although increasing their employees’ connectedness is a major driver for organizations to deploy enterprise social software (ESS), the social connectedness concept itself is still not sufficiently defined and conceptualized. The study therefore provides a richer perspective on social connectedness’s role in an ESS context. The authors thus investigate (1) social connectedness’s antecedents and (2) its impact on employees’ individual performance. With a survey-based investigation among 174 employees of an international business software provider headquartered in Germany, the authors show that both reputation and a critical mass significantly influence employees’ social connectedness. The authors further find that reputation’s effect is significantly stronger than critical mass’s effect and that social connectedness influences employees’ individual performance positively. The findings are discussed in the light of psychological studies and deduce implications for theory and practice

Organizational Climate's Role in Enterprise Social Software Usage: An Empirical Assessment

Abstract. The focus of organizations' internal communication and collaboration infrastructures has recently been extended from conventional intranets to enterprise social software platforms (ESSPs). However, as ESSPs rely on content creation and interaction through users, many platforms struggle. Previous research suggests that organizational climate plays an important role during IS adoption. Accordingly, our study quantitatively explores the influence of organizational climate on both contributive ESSP usage (knowledge sharing) and consumptive ESSP usage (knowledge consumption). Our results indicate that organizational climate -measured by the dimensions of trust, collaboration norms, and community identification -influences employees' ESS

UNCOVERING THE PHENOMENON OF EMPLOYEES´ ENTERPRISE SOCIAL SOFTWARE USE IN THE POST-ACCEPTANCE STAGE - PROPOSING A USE TYPOLOGY

Social software applications such as wikis, weblogs, and social networking sites have in recent years attracted the attention of organizations. However, a better understanding of employees´ enterprise social software use behaviors would help organizations to make better informed decisions regarding enterprise social software implementations. As an important step toward addressing this need, this study “ on the basis of (i) qualitative empirical data and (ii) existing literature “ identifies four post-acceptance information system (IS) use behaviors related to how employees leverage implemented enterprise social software platforms (ESSPs): Consumptive use, contributive use, hedonic use, and social use. A conceptualization of these four distinct use behaviors is proposed and subsequntly validated based on data from 233 employees using an ESSP in the post-acceptance stage at a communications and high-tech sector organization. By providing an enterprise social software use framework, developing and rigorously validating an according measurement instrument, this study provides researchers as well as practitioners with a proven instrument to assess employees´ post-acceptance enterprise social software use behaviors

Organizational Climate\u27s Role in Enterprise Social Software Usage: An Empirical Assessment

The focus of organizations\u27 internal communication and collaboration infra-structures has recently been extended from conventional intranets to enterprise social software platforms (ESSPs). However, as ESSPs rely on content creation and interaction through users, many platforms struggle. Previous research sug-gests that organizational climate plays an important role during IS adoption. Accordingly, our study quantitatively explores the influence of organizational climate on both contributive ESSP usage (knowledge sharing) and consumptive ESSP usage (knowledge consumption). Our results indicate that organizational climate - measured by the dimensions of trust, collaboration norms, and com-munity identification - influences employees\u27 ESSP usage behaviors to a certain extent. In addition, collaboration norms appear to have a stronger impact on consumptive ESSP usage than on contributive ESSP usage. Lastly, trust was found to primarily support consumptive ESSP usage, not contributive usage