Impact of IS agility and HR systems on job satisfaction: an organizational information processing theory perspective

Purpose This paper aims to examine the link between information systems (IS) agility, HR performance management systems and job satisfaction using organizational information processing theory. The objective of this study answers the following questions: How does use of different IS agility impact HR systems and job satisfaction? What are the connecting pathways by which IS agility affects HR systems and job satisfaction? Design/methodology/approach The authors developed a theoretical framework based on the organizational information processing theory and collected primary data through an online-based questionnaire. Following these procedures, the authors analyzed the data using structural equation modeling (SEM). Findings SEM analysis of the data from 150 respondents supports the organizational information processing theory. The authors proposed eight hypotheses, and only one was rejected. Research limitations/implications The data were collected from South Africa only, which is an emerging economy, and these cross-sectional data were gathered from the perspectives of the respondents. Originality/value The present paper empirically tests the conceptual model through the lens of organizational information processing theory.

How supply chain analytics enables operational supply chain transparency

Purpose The global business environment combined with increasing societal expectations of sustainable business practices challenges firms with a host of emerging risk factors. As such, firms seek to increase supply chain transparency, enabling them to monitor operational activities and manage supply chain risks. Drawing on organizational information processing theory, the purpose of this paper is to examine how supply chain analytics (SCA) capabilities support operational supply chain transparency. Design/methodology/approach Using data from 477 survey participants, hypotheses are tested using seemingly unrelated regression. Findings The results reveal that: analytics capability in support of planning functions indirectly affects organizational supply chain transparency (OSCT) via SCA capabilities in source, make, and deliver functions; SCA capabilities in source, make, and deliver positively influence OSCT; and supply uncertainty moderates the relationship between SCA capabilities in make and OSCT. Research limitations/implications This research suffers from limitations inherent in all survey-based research. Nonetheless, the authors found convincing evidence that suggests firms can employ SCA capabilities to meet transparency requirements. Practical implications The findings inform design of SCA systems, noting the importance of linking planning tools with tools that support source, make, and deliver functions. The research also shows how transparency can be increased via employing SCA capabilities. Originality/value This is one of first studies to empirically demonstrate that SCA capabilities can be used to increase supply chain transparency. The research also advances organizational information processing theory by illustrating an analytics capability paradox, where increased levels of certain analytics capabilities can become counterproductive in the face of supplier uncertainty.

Using Organizational Information Processing Theory to Examine the Relationship between Information Sharing and Supply Chain Performance

Supply chains operate under conditions of uncertainty, and chain members exchange information as a means to mitigate such uncertainty within the chain. While these exchanges have largely been viewed as a positive method of achieving operational cohesion, some supply chains appear to benefit more from increased levels of information sharing than others. To assist in explaining the performance differences experienced by supply chains engaged in information-sharing activities, a new perspective of information sharing within supply chains based on organizational information processing theory (Galbraith, 1973) is introduced. More specifically, it is posited that individual supply chains may be examined as single information processors and that their characteristics can induce complexities in the shared information—ultimately an issue that affects how supply chains process this information. Furthermore, the degree to which supply-chain members’ information systems are compatible with each other is posited to also play a significant role in information-processing capabilities.