Investment in Enterprise Resource Planning: Business Impact and Productivity Measures
By Lorin M. Hitt, D.J. Wu, Xiaoge Zhou. Journal of Management Information Systems, 2002
952 citations recorded by the source corpus.
Subfields: Accounting, Management Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/4462e6c004949d1ed46b59f1e959a1b35e55e190
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Prasanna B. Tambe
- M. Vasarhelyi
- Yasin Ozcelik
- Erik Brynjolfsson
- Robert G. Fichman
- Jun Dai
- Rosalind W. Picard
- Arun Rai
In Management Information Systems
- Arun Rai
- Prasanna B. Tambe
- Rosalind W. Picard
- Robert G. Fichman
- Huigang Liang
- Yajiong Xue
- Sinan Aral
- M. Vasarhelyi
In Management Science and Operations Research
- Robert G. Fichman
- Prasanna B. Tambe
- M. Vasarhelyi
- Jan vom Brocke
- Maria Fay
- Oliver Müller
- Yasin Ozcelik
- Arun Rai
Citations in the corpus
- IT capabilities and firm performance: A contingency analysis of the role of industry and IT capability type (2009, background): “[26] analysis of the association between a firm’s Tobin’s q value and ERP implementation.”
- Do business process reengineering projects payoff? Evidence from the United States (2010, methodology): “Such a specification has been used in past research as it provides flexibility in the relationship between the numerator and the denominator, while still retaining the interpretation as a performance measure [51].”
- Measuring the Performance of Information Systems: A Functional Scorecard (2005, background): “…most of the prior instruments were developed prompted the inclusion of new items to measure the IS function’s performance in seven new areas: ERP [51], knowledge management [45, 64, 97], electronic business [9, 55], customer relationship management [39], supply chain management [37], electronic…”
- The Effect of Big Data and Analytics on Firm Performance: An Econometric Analysis Considering Industry Characteristics (2018, background): “the BDA dummy variable can be interpreted as the percent productivity change associated with owning BDA assets [4, 30].”
- A Model of Organizational Integration, Implementation Effort, and Performance (2005, background): “ERP implementation and organizational performance (Hitt et al. 2002), studies have yet to examine ERP implementations in an integrative way by linking them to implementation effort and organizational performance.”
- Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance? (2011, background): “Thirty Second International Conference on Information Systems, Shanghai 2011 3 Closely related to these studies is the emerging literature on the value of enterprise systems, that have shown that investments in ERP (Hitt et al. 2002; Anderson et al. 2003) and combinations of ERP systems with other c”
- Cocreation of Value in a Platform Ecosystem: The Case of Enterprise Software (2012, background): “For example, implementation of enterprise software often requires extensive effort to configure it to meet the user’s idiosyncratic needs (Hitt et al. 2002; Ko et al. 2005).”
- Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities (2006, background): “In addition, since larger firms may be in a better position to achieve performance gains due to their ability to garner scale efficiencies (Hitt et al. 2002), we specify firm size as a control variable.”
- Firm Performance Effects in Relation to the Implementation and Use of Enterprise Resource Planning Systems (2004, background): “Hunton et al. (2003) collected a sample of 63 ERP-adopting firms and examined the longitudinal impact of ERP adoption on firm performance.”
- Interfirm Strategic Information Flows in Logistics Supply Chain Relationships (2009, background): “Larger firms also enjoy potential advantages in exploiting the resource endowments of smaller partners and in influencing their information-sharing behaviors (Hitt et al. 2002).”
- The Performance Effects of Complementarities Between Information Systems, Marketing, Manufacturing, and Supply Chain Processes (2007, background): “In addition to process automation and visibility, which reduce errors and delays associated with manual processes, integrated information systems for manufacturing enable improved decision making as well as improved interactions with supply chain partners (Hitt et al. 2002).”
- Toward Blockchain-Based Accounting and Assurance (2017, methodology): “Besides process automation, ERP systems also distribute timely and accurate data, which provides the basis for information analysis and management decision support (Hitt, Wu, and Zhou 2002).”
- The Effect of Enterprise Systems Implementation on the Firm Information Environment (2013, background): “Prior empirical studies examining the benefits of ES primarily focus on broad operating performance measures and provide mixed evidence (e.g., Poston and Grabski 2001; Hitt et al. 2002; Hunton, Lippincott, and Reck 2003; Nicolaou 2004; Chapman and Kihn 2009).”
- Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management (2007, background): “Existing post-implementation studies mainly focus on ascertaining their organizational impact of ERP systems and consequently their business value (e.g., Gattiker and Goodhue 2005; Hitt et al. 2002).”