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Does Training Formats Influence the Go/No-Go of ERP Implementation? A Case Study Approach

EasyChair Preprint no. 8657

26 pagesDate: August 11, 2022


Implementing enterprise resource planning (ERP) at the optimal time can greatly boost income streams and improve corporate performance; nevertheless, a delayed or unsuccessful deployment can have immediate effects on the success, function, or functionality of the firm. To establish a uniform information system, enterprises have implemented ERP solutions throughout the previous few decades (IS). Prior research indicates that business users and stakeholders may be resistant to this transition, even though enterprises devote substantial tangible and intangible resources to implementing and maintaining ERP systems. Using a single case study of an SME (Small and Mid-Sized Enterprise) migration from a small-scale ERP to a global enterprise solution also known as System Application Product and Data Processing (SAP), we interviewed 15 business-focused key users to determine the impact of employee product training in remote, in-person, and hybrid learning environments. To support our analysis, we identify educational theories for knowledge transfer, transfer of training, and the unified theory of user adoption of technology. Given that the COVID-19 pandemic has restricted the movement of consultants and business users, qualitative evaluations of our data indicate that the training formats, perceived usefulness, and learnability are drivers of whether a company decides to advance with ERP implementation.

Keyphrases: Enterprise Resource Planning, Perceived Ease of Use, Perceived Usefulness, Training formats

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Sachin Sharma and Johnna Murray and Regina McWilliams and Tracey Clark Jeffries and Nathan Pennington and Sean Leahy},
  title = {Does Training Formats Influence the Go/No-Go of ERP Implementation? A Case Study Approach},
  howpublished = {EasyChair Preprint no. 8657},

  year = {EasyChair, 2022}}
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