"Incumbent System Context and Job Outcomes of Effective Enterprise System Use "

Abstract

Enterprise system (ES) implementations frequently fail to deliver job benefits for employees, many of whom are dissatisfied with these systems that were implemented to support them in their jobs. The literature is clear that the realization of job benefits depends on how these systems are used, motivating us to focus on the determinants and outcomes of effective ES use. Focusing on employees' use of systems to support their work processes, we examine how employees' preimplementation context-specifically, the use of an incumbent system and the associated work processes-affects their performance expectancy of a new ES and, consequently, their effective use of the ES and the resulting job outcomes. Our results suggest that (1) employees' perceptions of two facets of information transparency based on incumbent system use, namely information visibility and information credibility, have different impacts on employees' performance expectancy of a new ES depending on their perceptions of process standardization in the incumbent system context, and that (2) effective ES use mediates the impact of pre-implementation performance expectancy on postimplementation user satisfaction and, consequently, job effectiveness. Our findings provide insights into the mechanisms linking the context of using an incumbent system to post-implementation effective ES use and job outcomes, thereby integrating perspectives from technology acceptance and use, IS success, and work design.

Software investment and organizational change: Evidence from panel data

“…Thus, labor work reorganization is a boundary condition of the mechanism through which software investment can improve labor productivity. Without adjusting work processes based on technological features, it could be disruptive to existing work processes by implementing a software system and hurt labor productivity (Hornyak et al, 2020). In the meantime, developing human capital is crucial for the mechanism through which software systems can be used to facilitate learning, thereby lowering scaling costs and supporting firm growth.…”

“…A key theoretical implication from this study is that software investment could serve as a double-edged sword to improve market predictions to cope with market uncertainty on the one hand, and to reduce labor productivity and firm growth on the other hand. (Hornyak et al, 2020). In the meantime, developing human capital is crucial for the mechanism through which software systems can be used to facilitate learning, thereby lowering scaling costs and supporting firm growth.…”

A Design Theory for Transparency of Information Privacy Practices

“…Research approaching transparency as a strategic issue typically focuses on business issues that arise when revealing or concealing information on items or products (Granados et al 2010)-for example, with respect to sharing of information about transaction details (eg, Nicolaou and McKnight 2006), product prices (eg, Soh et al 2006), product quality attributes (eg, Liang et al 2017), or trade-offs between product attributes (eg, Xu et al 2014). Research employing transparency as a measure of how well system output can be explained generally treats transparency as an empirical outcome in research fields such as government services (eg, Venkatesh et al 2016), knowledge management (eg, Hornyak et al 2020), research methods (eg, Paré et al 2016), or market interactions (eg, Cho et al 2021). Similarly, extant privacy research typically treats transparency as an antecedent of consumer behaviors (eg, Awad and Krishnan 2006, Betzing et al 2020, Karwatzki et al 2017, Tsai et al 2011 or as an instrumental design goal (eg, Hosseini et al 2018, Nussbaumer et al 2012, Samavi and Consens 2018, Schaub et al 2017.…”

Narrowing the age‐based digital divide: Developing digital capability through social activities

“…These faithful representations allow older adults to decide which doctor to consult and to make appointments. Therefore, the effective use of the system depends on the user's digital capability (Burton‐Jones & Grange, 2013; Burton‐Jones & Volkoff, 2017; Hornyak et al, 2020; Serrano & Karahanna, 2016; Weeger & Gewald, 2015). Users can take adaptation actions to improve the system's representation of the domain of interest and enhance their access to the system (Dendere et al, 2019; Kretzer & Maedche, 2018; Lin et al, 2019).…”