Electronic Data Interchange: Research Review and Future Directions*

Abstract

For nearly two decades, electronic data interchange (EDI) has been widely viewed as a technology pivotal to supply chain management that has also provided benefits to firms on multiple levels. Despite a substantial body of literature, there are a number of conflicting and inconclusive research results in this field. In this study, we synthesize the diverse body of research in EDI by organizing the literature into an initial theoretical framework. Based on a meta-analysis of results from the empirical literature, we seek to clarify conflicting results from the literature in order to develop a more unified theoretical framework of contextual variables associated with EDI adoption factors and outcomes. From a managerial standpoint, our literature-based framework offers a set of guidelines for making successful EDI adoption and implementation decisions.

Big data and supply chain decisions: the impact of volume, variety and velocity properties on the bullwhip effect

“…Traditional applications have not been able to fully support the mitigation of the bullwhip effect (Narayanan, Marucheck, and Handfield 2009). The challenge with those supply chain applications is that they often cope with transactional data only (e.g.…”

Electronic interaction research 1988 – 2012 through the lens of the Bled eConference

“…A small number of classification schemes have been previously published that were of potential relevance to this study, e.g. Barki and Rivard (1993) and Whitley (2002, 2007) regarding the field of Information Systems (IS) generally, Elgarah et al (2005) and Narayanan et al (2009) both addressing EDI adoption, Ngai and Wat (2002) focusing on eCommerce, and Titah and Barki (2006) for the field of eGovernment. However none was found that addressed the electronic interaction field both in a comprehensive manner and at an appropriate level of detail.…”

Factors Affecting the Adoption of Electronic Data Interchange

“…Data collection then took place from June to September 2015. The respondents were selected on the basis of quota selection per the business 2: Expanded conceptual model (Source: Narayanan, Marucheck and Handfield, 2009) entity classification scheme within the classification of economic activities (CZ-NACE) and the investigation unit was a business, responding via the person responsible for document exchange with trading partners. In all some 6230 business entities were approached, and 290 valid questionnaires collected, being a questionnaire yield rate of 4.7 %.…”