Effect of substantial competent team on training after ERP implementation, continual system improvement, department related to decision support and business performance- A study of critical success factors on implementation of ERP systems among process in

 The current research focused on estimating critical success factors that are substantial competent team, training after ERP implementation, continual system improvement, department related to decision support and business performance. The respondents chosen for the current research were employees of process industries in India who are working under ERP platform. Researcher formulated four research objectives and four research hypotheses and the sample size for the current study was 139. The researcher formulated one predictor variable being substantial competent team and three predicted variables as training after ERP implementation, continual system improvement, department related to decision support and business performance. The impact between predictor variable and predicted variables were positive and significant except substantial competent team and continual system improvement which were negative but significant. Organizations may concentrate more on continual system improvement as critical success factor to increase productivity after implementation of ERP systems at department level

Effect of substantial competent team on training after ERP implementation, continual system improvement, department related to decision support and business performance- A study of critical success factors on implementation of ERP systems among process industries.

The current research focused on estimating critical success factors that are substantial competent team, training after ERP implementation, continual system improvement, department related to decision support and business performance. The respondents chosen for the current research were employees of process industries in India who are working under ERP platform. Researcher formulated four research objectives and four research hypotheses and the sample size for the current study was 139. The researcher formulated one predictor variable being substantial competent team and three predicted variables as training after ERP implementation, continual system improvement, department related to decision support and business performance. The impact between predictor variable and predicted variables were positive and significant except substantial competent team and continual system improvement which were negative but significant. Organizations may concentrate more on continual system improvement as critical success factor to increase productivity after implementation of ERP systems at department level

Antecedents of mobile marketing adoption by SMEs : Does industry variance matter?

Abstract: Please refer to full text to view abstrac

ERP Institutionalisation- A Quantitative Data Analysis Using The Integrative Framework of IS Theories

There is a wide agreement that IT projects have disappointing success rates and often generate less value than originally promised. In the context of ERP systems, the same statistical reports exist which demonstrate an overwhelming number of failures in ERP implementations. A thorough review of IS literature, however, leads us to believe that organisations that broadly deploy and routinise IT (in particular, ERPs) into their day-to-day work procedures realise the greatest productivity benefit and business values, and in return perceive to be more successful. The stage wherein ERP is fully assimilated, widely accepted and routinised is also referred to as institutionalised ERP in the extant IS literature of institutional theory. As a result, the authors of this paper believe that studying the influence of various social, environmental, technological and organisational factors on ERP institutionalisation has significant potential in improving the chance of successful ERP projects. In doing so, this paper introduces an integrative framework of IS theories based on an in-depth review of IS literature. The survey instrument is developed to gather data on possible impacts of factors derived from each theory on ERP institutionalisation. The gathered data is then analysed using quantitative data analysis methods to shape the final hypothetical inferences. Finally, based on the data analysis results, this paper proposed valuable suggestions to business and IT managers to improve the chance of ERP success in their organisations

Critical Success Factors in Enterprise Resource Planning Implementation in U.S. Manufacturing

Organizational leaders have increasingly turned to enterprise resource planning (ERP) applications, also known as decision-support systems, to make their firms\u27 operational, tactical, and strategic processes more efficient and effective in the changing global marketplace. High failure rates in ERP systems implementations make these projects risky, however. Most prior research on critical success factors for conventional ERP implementation has been on large enterprises, resulting in a gap in knowledge on these factors in the small and medium enterprises that constitute the majority of U.S. employer firms. A qualitative modified Delphi study with an expert panel of U.S. manufacturing consultants and 3 iterative rounds of data collection and analysis revealed consensus on 8 critical success factors in ERP implementations, with the highest agreement on top management support and commitment, enterprise resource planning fit with the organization, quality management, and a small internal team of the best employees. In addition to furthering knowledge in the fields of leadership and enterprise applications, the study expands enterprise resource planning experts\u27 and scholars\u27 understanding of strategies to improve project success and the triple bottom line for any size enterprise in the manufacturing industry. Practitioners in the ERP industry can also apply approaches outlined during ERP implementations to mitigate risk during these engagements. Implications for positive social change include additional job opportunities and higher wages through increased efficiencies in ERP applications