Global Journal of Computer Science and Technology, G: Interdisciplinary, Volume 23 Issue 1

© 2023 Global Journals Global Journal of Computer Science and Technology Volume XXIII Issue I Version I 34 ( ) Year 2023 G Table 3: Reliability Analysis of Variables in Pilot Survey Variable Cronbach Alpha No of Items Top Management Commitment .852 3 Change Management .961 3 Communication .923 3 User Training and Education .827 3 Implementation Strategy .863 3 Project Management .907 3 ERP Implementation Success .876 4 Overall Value .958 22 Source: Author’s developed based on SPSS results When all the questions in the Top Management Commitment variable were added together, Cronbach's Alpha value was .852, in the data set, it is generated as a good score. The Change Management variable has a good Cronbach Alpha rating of .961, it can be an excellent score for that data set. The Communication variable also got a .923 score for all their items. The Cronbach Alpha value for that data set is very high. The User Training and Education variable has a good Cronbach Alpha rating of .827, which means it can be taken as a good score for that data set. The Cronbach's Alpha value was .863 for the Implementation Strategy in the data set, it also generated a good score. The Project Management variable got a .907 score for all items, it means the Cronbach Alpha value for that data set is high. ERP implementation success is the dependent variable in the data set. It achieved a score of .952 among its four items. When identifying overall reliability, the data set achieved a score of .958, it was an excellent Cronbach Alpha value. Bryman and Bell (2003) define validity as the degree to which any measuring instrument measures what it claims to measure. In this regard, different theories and empirical studies have been analyzed to ensure their validity in the literature survey. According to Stapleton (1997), an approach to discovering the number and nature of the variables which underpin a huge number of variables or metrics is factor analysis. It instructs the researcher on which tests or measurements should be used jointly. When a test user needs to have an implication from the test results to acts that may be categorized under a specific psychological construct, construct validity is investigated. According to Hair et al. (1998), the minimum communality value is 0.4 and the current study has a value of 0.570. The Cronbach's Alpha value of this study in diverse between 0.96 and 0.82. All the independent variables and dependents acquire a Cronbach's Alpha value which is higher than 0.7, as stated by Hair et al. (1998). The Kaiser–Meyer–Olkin measure (KMO = 0.721) confirmed the analysis's sampling adequacy (Field 2009). All individual items’ KMO values were more significant than 0.7. Table 4: KMO Values for Individual Items Variable Kaiser-Meyer-Olkin (KMO) Top Management Commitment .721 Change Management .874 Communication .832 User Training and Education .756 Implementation Strategy .811 Project Management .830 ERP Implementation Success .743 Source: Author developed based on SPSS results The validity of the study is established if the research tool evaluates what it claims to quantify (Field, 2009). According to Hair et al. (1998), if the cut-off level of KMO is 0.7, and all the variables exceeded that value, then instrument is valid. V. R esults and A nalysis This section indicates the facts to which extent the identified factors are impacting onremote ERP implementation success and what are the critical factors that has the highest impact on remote ERP implementation success. Critical Success Factors of Remote ERP Implementation: From System Users’ Perspective