# Introduction or any developing nation Small and Medium Enterprises (SMEs) are acknowledged as the backbone for the county economy and Small and Medium Enterprises (SMEs) are acknowledged as the backbone to any economy as they are significant contributors to employment and economic growth [1]. Generally, SMEs account for the largest proportion of established businesses in most of the developing nations. As a developing country Sri Lanka has more than 80 percent employer firms, contributing to Gross Domestic Production (GDP) and generating more than 70 percent of employment [2]. Therefore, country economy has badly effected with the performance of SMEs in the country [3,4]. Lack of using information and communication technologies is one of the main barriers to SME development. This is more critical when local organizations make difficulties to adopting to advance communication technologies with the respective industry [5][6][7][8].E-commerce evolution is related to rapid perfection of information technologies, the growing possibilities of their adoption in various areas, and the decrease of their usage cost and nowadays it not just to take a competitive advantage but as a necessity [9]. Further ICT based E-commerce provides many advantages to both buyer and seller in the business in globally [10]. According to [11]improve SME performance technology playing an important role in Sri Lanka. E-commerce is a technology used to do businesses in digital communication media and it integrates different business components together. Therefore, according to the literature studies the main research questions is compiled as determine the influence of Information Technology factors to the adoption of Electronic Commerce among Small and Medium Scale manufacturing enterprises in Sri Lanka and to identify the effects on organizational performance by adopting to Electronic Commerce. To address this main question following specific objectives are being identified to address. To address this main issue and sub-questions are as follows, # To investigate the Information Technology factors on Ecommerce adoption among manufacturing sector Small and Medium sector enterprises in Sri Lanka. # To measure the level of influence from Information Technology factors for adoption of electronic commerce in Small and Medium sector manufacturing enterprises in Sri Lanka. 3. To determine the influence of E-commerce adoption on organization performance. 4. To derive a model from Information technology factors to E-commerce adoption and E-commerce adoption to organization performance. A questionnaire-based survey is conducted and modeled in Structural Equation Modeling (SEM). In the following section under methodology data collection and analysis part will be discussed in detail. # Methodology A questionnaire-based survey is conducted for data collection and modeled in Structural Equation Modeling (SEM). Initially, after data cleaning process reliability and validity of the data is checked and achieved the goodness of data and contracts under Exploratory Factor Analysis (EFA). Then Confirmatory Factor Analysis (CFA) is executing to check the model goodness of fit. # a) Structural Equation Modeling (SEM) SEM is a collection of statistical techniques that can be used to confirm a theory hypothesized on a phenomenon [12,13]. To confirm a theory. SEM is developing and validates a set of models consisting interrelated structural relationship among theoretical contracts and indicator variables [12]. The theoretical contracts refer to unobservable factors that are used to describe the phenomenon explained by the theory. Those theoretical contracts are represented by observable indicator variables [12]. In this study initially, Exploratory Factor Analysis (EFA) has been conducted and followed with Confirmatory Factor Analysis (CFA). # b) Exploratory Factor Analysis (EFA) In this study relative advantage of the technology is identified as the main factor [10, 14-24] and is measured using 5 five items in questionnaire and Ease of use of the technology is measured as compatibility [10,14,15,19,21,22,25] and simplicity [3,16,21,23,[26][27][28][29] and measured using four items. Further information and Network Security [7,[30][31][32][33][34] provided in the e-commerce solution is also found as a factor to be considered in e-commerce adoption. Which is measured using three items in the questionnairebased investigation. Further the E-commerce adoption [14,22,[35][36][37][38][39] and organization performance [20,24,[40][41][42][43][44] # Figure I: Testable Framework c) Data collection For data collection, a questionnaire is developed according to the theoretical framework and validated through a pilot test. In the pilot test sample from the population, academic and industry respondents were used to collect data and modified the questionnaire according to the results of it. The sampling method of the study used is a nonpropositional stratified random sampling. Unit of respondent is the owner for the SME or official nominated by the owner of the organization to represent the organization. Respondents of the study the study population is identified as the organizations under SME category are who are registered under Board of Industries (BOI) of Sri Lanka. BOI is the governmentowned organization for SME industries in the county [45]. According to the industrial development board total population is 980 [46]. According to [47]sample is 258 To get expected responses, 640 questionnaires were sent and 286 responses were received. Out of that responded with missing values and extreme answers 20 responses were removed and 266 responses were finalized for the analysis. The responding percentage is 44 percent. # III. Confirmatory Factor Analysis (CFA) Confirmatory factor analysis (CFA) is a sort of basic SEM model that works explicitly with measurement models; that is, the relationship between observed measures or indicators (e.g., test things, test scores, social perception appraisals) and latent factors or variables. The objective of latent variable measurement models (i.e., factor analysis) is to set up the number and nature of factors that represent the variety and covariation among set of variables. A factor is an observable variable that impacts in excess of one observed measure and which represents the relationship among these observed measures. At the end, the observed measures are intercorrelated because they share a typical reason (i.e., they are impacted by the same fundamental construct); if the latent construct was partial led out, the intercorrelations among the observed measures would be zero. Along these lines, a measurement model, for example, CFA gives a more parsimonious understanding of the covariation among an indicator of markers in light of the fact that the number of factors is not exactly the estimated factors at the EFA [48]. According to the literature proposed framework showed in figure I. The study assessed the reliability of individual items by examining their internal consistency values through computing the construct reliability, Average Variance Extracted (AVE) and Cronbach's Alpha values. Table 1portrayed the reliability of the each of the constructs. This AVE values are extracted before the measurement model in SEM and this has been developed in the measurement model and followed with the structural model in CFA. [49].According to [12]and The Cronbach's Alpha value should exceed the threshold of 0.70. The results in Table I indicated that the construct reliability and it is acceptable. The next step is to examine the Composite Reliability (CR) as well as converged and discriminant validity. CR value is more than 0.774 in this study and according to [50] it should be more than 0.6 in order to achieve the minimum reliability and internal consistency of latent constructs. AVE should be more than 0.5for adequate the convergent validity [12]. In this analysis AVE is more than 0.50for each construct and it is acceptable. According to [50] the diagonal values (in bold) is the square root of AVE (as shown in table2) while other values are the correlation between the respective constructs. The discriminant validity for all constructs is achieved when a diagonal value (in bold) is higher than the values in its row and column. Therefore, in the study discriminate validity is achieved. # Table 2: Inter construct Correlation a) Measurement model As statistics shows the goodness of data through table I, measurement model can be configured. Figure II shows the measurement model for the study. In this study absolute fit indicate using Root Mean Square Error Approximation (RMSEA) which is an index of the difference between observed covariance matrix which denote the model [51]. RAMSEA is a good fit indicator when the sample size is large. The incremental fit is measured using Comparative Fit Index (CFI). CFI is good even with a small sample and it assumes that all latent variables are uncorrelated (null/independence model) and compares the sample covariance matrix with this null model [52]. To test the parsimonies fit, mourned chi-squared is used. This is simple ratio of chisquared to degree of freedom [12]. Incremental Fit CFI A cut-off criterion of CFI ? 0.90 [12,[55][56][57] Parsimonious fit Chi-square(X 2 )/df Less than 5.0 [50,55] According to the validity types and its upper limits this model is acceptable. Therefore, it is evident that relative advantage of the technology, Ease of use of the technology and Security of E-commerce is considered as significant factors to be consider in E-commerce adoption. # Relative_A dvantage # Compatibility_S # b) Structural Model In the figure II, structural model of the study shows, and all the fit indexes are acceptable, and the model fit is achieved. According to the structural model it can see estimated coefficients are .20, .07 and .35 for Relative advantage, Ease of use and security respectively. The sizes of this coefficients are indicating that providing more security with the existing technical solutions has highest impact on adoption and relative advantage is average and ease of use has very small effect. Further .10 a small effect from E-commerce adoption to organization performance is indicated in the model. Therefor in this study if this study takes observed values for supervision following equations can be derived. # Conclusion Importance of SME development is significant for a developing country and it's is heavily integrated with the development of digital economy. A large proportion of digital economy depends on the level of adoption to ICT based E-commerce solutions. That enable countries to be more competitive in the respective market and access to global economies in all aspects. This paper explores the factors effecting to the adoption of E-commerce in specialized in Information Technology Factors in manufacturing sector SMEs in Sri Lanka. Research results show that SME sector industries have positive influence towards e-commerce adoption and it is affected by Information technology factors. Basically, Relative Advantage of the technology is identified as significant factor to be consider along with Ease of use to the e-commerce solution through compatibility of the existing technology and newly adopting technology and simplicity of the technology. According to results main barrier is identified as information and network security concerns when adopting to e-commerce solution. Therefore, providing a secure communication and building trust among uses or adopters in e-commerce will improve the adoption. The limitations of the research can be observed in a small number of SME (N=266) as well as in the selected factors. In Sri Lankan context only, few SME industries are registered under Board of Industries as many industries are falling under Micro scale organization. Yet, since the SME owners that have participated in this research are those who have expressed interest in cooperation in this context, obtained results can be used for future research. Furthermore, feedback for the questionnaire is positive and responds were much satisfied with the quality and the content of the questionnaire. In this study there is no moderation effect is considered in the relationship between E-commerce adoption and organizational performance. But according to the literature proper governance of technology or e-commerce solution use would moderate the relationship and improv the organization performance. ![II.](image-2.png "F") ![commerce Adoption = 0.35(Security) + 0.20(Relative Advantage) + 0.07(Ease of use) Similarly, predicted values for Organization performance Y Organization performance = 0.10 [ (0.35(Security) + 0.20(Relative Advantage) + 0.07(Ease of use)]IV.](image-3.png "") ![](image-4.png "") 1ConstructNo. of ItemsAVECRCronbach's AlphaOrganization Performance30.6900.8690.867Relative Advantage40.5250.8150.813Ease of Use40.5210.8120.784Security30.5780.8030.774E-commerce Adoption30.5350.7740.767The reliability of data is measured usingCronbach'salpha.Itindicatetheaverageintercorrelation between items and number of items IIValidity TypeCriteriaDescriptionLiteratureAbsolute fitRMSEAUpper limit should be less than 0.08. isthe good fit.implicitySecurityAdoptionOrganization Performance?AVERelative_Advantage1.000.588.623.457.359.831Compatibility_Simplicity.5881.000.722.481.132.725Security.623.7221.000.458.191.722Adoption.457.481.4581.000.203.760Organization Performance.359.132.191.2031.000.731Figure II: Measurement Model Goodness of the fit in the measurement model is measured using indicators in the table 2.[12,53,54] * An empirical investigation of green initiatives and environmental sustainability for manufacturing SMEs PYacob LSWong SCKhor Journal of Manufacturing Technology Management 30 2019 * Entrepreneurship success factors: an empirical investigation in Sri Lanka RLussier CBandara SMarom 2016 12 * SME EIS adoption: Towards development of EIS for SMEs in Sri Lanka IRMalawige LD J FNanayakkara 2014 14th International Conference on Advances in ICT for Emerging Regions (ICTer) 2014 * Productivity improvement through lean tools in a Sri Lankan small and medium enterprise: A case study HA DPerera 2016 Manufacturing & Industrial Engineering Symposium (MIES) 2016 * A stageoriented model (SOM) for e-commerce adoption: a study of Saudi Arabian organisations A.-SSAbdullah GRoya CBen Journal of Manufacturing Technology Management 26 2015 * An Introduction To Electronic Commerce YANanehkaran INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH 2 4 2013 * The Potential of E-commerce for SMEs in a Globalizing Business Environment MSavrul AIncekara SSener Procedia -Social and Behavioral Sciences 150 2014/09/15/ 2014 * Major Challenges Facing Small and Medium-sized Enterprises in Asia and Solutions for Mitigating Them NYoshino FTaghizadeh-Hesary 2016 * The evaluation of e-commerce impact on business efficiency PBarsauskas TSarapovas ACvilikas Baltic Journal of Management 3 2008 * Adoption of e-commerce applications in SMEs MGhobakhloo DArias-Aranda JBenitez-Amado Industrial Management & Data Systems 111 2011 * The Impact of Internet Adoption on SME performance in Sri Lanka: Development of a Conceptual Framework HPSuriyapperuma PD M S AYajid PD AKhatibi DS PPremarathne International Journal of Arts and Commerce 4 14 2016 * JFHair REAnderson BJBabin WCBlack Multivariate Data Analysis New Jersey Prentice-Hall 2010 * Using multivariate statistics BGTabachnick LSFidell 2007 Allyn & Bacon/Pearson Education Boston, MA 5th ed * Determinant Factors of Ecommerce Adoption by SMEs in Developing Country: Evidence from Indonesia RRahayu JDay Procedia-Social and Behavioral Sciences 195 2015/07/03 2015 * Adoption of new information technologies in rural small businesses GPremkumar MRoberts Omega 27 1999 * Electronic commerce adoption by SMEs in Singapore JKendall LLai HChua Khoon DNg Chia MTanHong Suan Proceedings of the 34th Annual Hawaii International Conference on System Sciences the 34th Annual Hawaii International Conference on System Sciences 2001 10 * The Effect of Market Orientation as Mediator to Strategic Planning Practices and Performance Relationship: Evidence from Malaysian SMEs RIdar YYusoff RMahmood Procedia Economics and Finance 4 2012 * Innovation characteristics and innovation adoptionimplementation: A meta-analysis of findings LGTornatzky KJKlein IEEE Transactions on Engineering Management 29 1982 * The role of owner/manager in adoption of electronic commerce in small businesses: The case of developing countries GMorteza HTSai Journal of Small Business and Enterprise Development 20 2013 * The Impact of Internal Organization Factors on the Adoption of E-commerce and its Effect on Organizational Performance among Palestinian Small and Medium Enterprise FHerzallah MMukhtar 2015 Malaysia International Conference on E-commerce * Technological and organizational factors influencing the e-commerce adoption by Indonesian SMEs YYMaryeni RGovindaraju BPrihartono ISudirman 2012 IEEE International Conference on Management of Innovation & Technology (ICMIT) 2012 * ICT Adoption in Small and Medium Enterprises: an Empirical Evidence of Service Sectors in Malaysia SSAlam MK MNoor International Journal of Business and Management 4 15 2009 * SMEs in Developing Countries Face Challenges in Adopting e-commerce Technologies MKapurubandara RLawson 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference 2007 * Influence of Information and Communication Technology (ICT) Adoption on Small and Medium Enterprise Performance in the Entertainment Sector BNassiuma DSergon Chesire 2018 5 Nakuru Town, Kenya * Supporting and inhibiting factors of e-commerce adoption: Exploring the sellers' side in Indonesia PIMuslim Sandhyaduhita 2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) 2016 * Barriers to the Take-up of Electronic Commerce among Small-Medium Sized Enterprises MStansfield KGrant MStansfield KGrant 2003 in Informing Science * Diffusion of Innovations EMRogers N 0-02- 874074-2 1995 The Free Press 51 New York 4th ed * Small firm e-business adoption: a critical analysis of theory MPCraig CTanya Journal of Enterprise Information Management 22 2009 * The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce BSuh IHan International Journal of Electronic Commerce 7 2003 * A survey of trust in internet applications TGrandison MSloman IEEE Communications Surveys & Tutorials 3 2000 * Extending UTAUT2 To Explore Consumer Adoption Of Mobile Payments ESlade MWilliams YDwivdei UK Academy for Information Systems Conference Proceedings United Kingdom 2013 23 * An Empirical Study of Determinants of E-Commerce Adoption in SMEs in Vietnam: An Economy in Transition MQHuynh LVHuy FRowe DTruex J. Glob. Inf. Manage 20 2012 * Building trust for online shopping and their adoption of e-commerce SURehman JCoughlan International Conference on Information Society i-Society 2012. 2012 * Factors impacting the adoption of the Internet among SMEs RRDholakia NKshetri 2004 23 12 * Model for Electronic Commerce Adoption for Small and Medium Sized Enterprises F NMYasin International Journal of Innovation, Management and Technology 3 5 2012 * E-business adoption and application portfolio management in remanufacturing small and medium enterprises YAFatimah PO HPutra ZAHasibuan 2016 International Conference on Informatics and Computing (ICIC) 2016 * Availability of ecommerce support for SMEs in developing countries MKapurubandara RLawson ICTer 2008 1 * E-commerce adoption by SMEs in developing countries: evidence from Indonesia RRahayu JDay Eurasian Business Review 7 April 01 2017 * E-COMMERCE ADOPTION LEVELS AND APPLICATIONS AMONG MANUFACTURING SMEs IN KENYA CYTibbs JOndiek PGKingori ANMwazuna International Journal of Economics, Commerce and Management 3 11 2015 * The Relationship between E-Commerce Adoption and Organization Performance MHalim AMunir BMohd Salleh Embat WAziz BWMohd Amin MSaladin Muda 2013 9 * Electronic commerce adoption, entrepreneurial orientation and small-and mediumsized enterprise (SME) performance MAbebe Journal of Small Business and Enterprise Development 21 2014 * The Impact of E-Commerce on Organizational Performance: The Role of Absorptive Capacity and Integrative Capability QHu JYang LYang 2012 Berlin, Heidelberg * An empirical assessment of the antecedents of electronic-business implementation and the resulting organizational performance MMMigdadi MK SZaid OSAl-Hujran AMAloudat Internet Research 26 2016 * Impact of Information Technology (IT) Adoption towards Small Medium Enterprises (SMEs) Performance in Malaysia: The Role of IT Governance as Moderator JShanmugam 2016 * Board of Investment of Sri Lanka Boi R. D. Division, Ed., ed. Colombo BOI 2018. 2018. 2018 1 Statistics for SME Sector * RBUma Sekaran Research Methods for Business: A Skill Building Approach 2016 7 ed. * Handbook of structural equation modeling TBrown MTMoore 2012 19 Confirmatory factor analysis * Validity and reliability of measurement instruments used in research CKimberlin AWinterstein 2009 65 * Structural Equation Modeling Using Amos Graphic ZAwang 2012 Penerbit Universiti Teknologi MARA * Comparison of Model Fit Indices Used in Structural Equation Modeling Under Multivariate Normality SCangur IErcan 2015 14 * Structural Equation Modelling: Guidelines for Determining Model Fit DHooper JCoughlan MMullen Electronic Journal of Business Research Methods 6 8 2008 * Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review JBSchreiber ANora FKStage EABarlow JKing The Journal of Educational Research 99 2006/07/01 2006 * Improving Innovation Capability Trough Creativity and Knowledge Sharing Behavior HAulawi IOP Conference Series: Materials Science and Engineering 434 12242 2018 * Assessing Reliability and Stability in Panel Models BWheaton BMuthen DAlwin F GSummers Sociological Methodology 8 53 1977 * Structural Equation Modelling: Guidelines for Determining Model Fit DHooper JCoughlan MMullen Electronic Journal of Business Research Methods 6 18 2008 * Structural Equation Modeling with AMOS BMByrne 2016 Taylor & Francis Group New York