# Introduction n the technology advancement era, Information and Communication Technologies (ICT) have become an integral part of modern humans' lives. People use technology to speed-up their necessary processes (Sigerson, Li, Cheung, and Cheng, 2017). On the other hand, the internet becomes an essential service of every life, and eventually, it was the best innovator, which enhances the lives of many (Garín-Muñoz et al., 2019). In the new era, a series of innovations that leverage the internet could have a significant impact on the global trades. Currently industries are at the commencing of the fourth industrial revolution. The third industrial revolution was launched in the 1960s and called as a computer or electronic revolution, which used electronics and information technology to automate production. The fourth revolution is building on the third revolution, and it is the fusion of technology (Chinoracký & ?orejová, 2019). The use of Artificial Intelligence (AI), Internet of Things (IoT), Cloud computing, Machine learning (ML), etc. involves speeding up the process and enhancing performance (Syam & Sharmab, 2018). The fourth industrial generation classifies firms into two main segments; wholly digital companies, such as Google, Yahoo, LinkedIn, Facebook, etc. which are purely internetbased business models. Partly digitalized or goingdigital are the companies that are different from the existing "brick-and-mortar" businesses that are adopting digital technologies into their existing business (Eden, 2018). The connected life using the internet is also one of the elements in the fourth industrial revolution, such as the adoption of e-commerce (Xu, David, & Kim, 2018). E-commerce is a business strategy and modern trending art of trading goods and services using the # II. Models of Technology Adoption The Technology Acceptance Model (TAM) developed by Davis (1986) is widely referred to as the Information System (IS) success model. TAM enables us to comprehend and explain user behavior in IS implementation. The model suggests two factors of "perceived usefulness" and "perceived ease of use" that influence the use and success of the system and address the issue of why users accept and reject the information system. This model is an adaptation of the well-known model of the social psychology domain; the Theory of Reasoned Action (TRA) model by Fishbein and Ajzen (1975) and explains how a person's attitude and subjective norms affect that person's behavioral intention. The Theory of Planned Behavior (TPB) by Ajzen (1985Ajzen ( , 1991) ) is also an extension of TRA. It suggests that behavioral intention is jointly determined by a person's attitude and subjective norms, like TRA, but with the addition of perceived behavioral control. The TAM has been continuously studied and expanded. The two upgrades are TAM2 by Venkatesh and Davis (2000) and UTAUT by Venkatesh (2003). TAM2 rationalized the fact that perceived usefulness is depending on other factors, including the user's experience, voluntariness, subjective norm, image, job relevance, and result demonstrability. The theory of Acceptance and Use of Technology (UTAUT) aims to explain a user's intention to use IS and subsequent usage behavior. The theory holds the four constructs of performance expectancy, effort expectancy, social influence, and facilitating conditions. The first three elements influence the behavioral intention, and the fourth element is a direct determinant of user behavior. Gender, age, experience, and voluntariness of use are moderating the impact of the four constructs on usage intentions and behavior. The Diffusion of Innovations Theory (DOI) was introduced by Rogers (1995), which explained the process of the members of a social system, communicated an innovation through specific channels over time, known as diffusion. The theory explained that the innovation and adoption transpired after going through several stages, including understanding, persuasion, decision, implementation, and confirmation. The Technology, Organization, Environment (TOE) framework was introduced by Tornatzky and Fleischer (1990),which depicts the entire process of innovation, which entrepreneurs adopt and implement those innovations within the context of a firm. Moreover, the TOE framework is an organization-level theory that explains three different elements of the firm, which influence the adoption decisions of technological innovation. In the recent past, the Integrated model for the adoption of e-commerce among SMEs (IMAES) was introduced by Sanchez-Torres and Juarez-Acosta (2019). This model, integrated with the theory of contingency, DOI, and TAM. Further, the Technology Readiness Index (TRI) was introduced by Parasuraman in 2000. The model contends the tendency of individuals to pursue and utilize new technologies to achieve their goals. TRI measures the readiness of individuals to use new technologies and consists of four dimensions: optimism, innovativeness, discomfort, and insecurity. Nevertheless, the theories of TAM, TPB, TRA, and UTAUT concentrate primarily on the individual level perception of technology acceptance and DOI, TOE, and IMAES are at the firm level theory of technology adoption. TRI is the combination of individual and companies' level perception of technology readiness. # III. Firm-Level Technology Adoption Models As described above, there are few firm-level perceptions of technology adoption models. # a) Technological, Organizational, Environmental (TOE) Framework TOE framework of Tornatzky and Fleischer 1990, identifies three aspects of an enterprise's context, that influence the process of adoption and implementation of technological innovation: The context portrays both the internal and external technologies relevant to the firm. The technological context denotes the internal current practices and equipment of the firm, and available technologies external to the firm. The organizational context refers to the descriptive measures about the organization, such as scope, size, and managerial structure. The environmental context is the arena in which a firm conducts its business, which consists of its industry, competitors, and government involvement. DOI is a theory of new ideas and technology spread through cultures, operating at the individual and firm-level. DOI theory sees innovations as being communicated through specific channels over time and within a particular social system (Rogers, 1995). Individuals possess different degrees of willingness to adopt innovations. Roger categorized the individuals into five adoption stages, such as innovators, early adopters, early majority, late majority, and laggards. The innovation process in an organization is more complex. The DOI theory at the firm level is emphasized; the innovativeness is related to three independent variables such as Individual (leader) characteristics describes the leader attitude toward change. The Internal characteristics of organizational structure include; centralization of power and the control in a system are concentrated in the hands of a relatively few individuals, complexity is an organization member possess a relatively high level of knowledge and expertise, formalization is an organization emphasizes its members' following rules and procedures, interconnectedness is the units in a social system linked by interpersonal networks, organizational slack is uncommitted resources are available to an organization and size is the number of employees of the organization. The External characteristics of an organization refer to system openness. # Individual (Leader) Characteristics Attitude towards change # External Characteristics of the Organization System openness IV. # Internal Characteristics of Organizational Structure Centralization Complexity Interconnecdeness Organizational Slack Size Organizational Innovativness Empirical Literature This study focuses on technology adoption models at firm-level with special emphasis on ecommerce adoption. The researcher reviewed 50 empirical studies from 33 countries, representing nine (09) regions such as Asia, Africa, Middle East, European Union, North America, Central America, South America, Eastern Europe, and Oceania, within the past ten years from 2011 to 2020 and five (05) empirical studies for each year. © 2020 Global Journals The majority of technology adoption studies, particularly e-commerce adoption at the firm level, have adopted either TOE or DOI theory or combination of both. Limited studies have found that one of the main theories was adopted with another technology adoption theory (Table 02). Putra and Santoso (2020) adopted the TOE framework in their study to investigate the interrelationships amongst contextual factors that influence e-business utilization and its impact on the performance of SMEs in Indonesia. Similarly, Yoon, Lim, and Park (2020) investigate the factors affecting the adoption of the smart farm in Korea, using the TOE framework. Ezzaouia and Bulchand-Gidumal (2020) applied the TOE model to examine factors in fluencing the adoption of information technology (IT) in the hotel industry in Morocco. Oliveira, Martins, Sarker, Thomas, and Popovi? (2019) used the TOE framework to understand the SaaS (Software as a service) adoption in Portugal. They further explore the moderating effects of the environmental context in the adoption of SaaS and how it shapes the direct in fluences of the technological and organizational setting of the TOE model. Also, Govinnage and Sachitra (2019) examine the adoption of e-commerce in the retail SMEs sector by using the TOE framework and TAM in the Sri Lankan context. E-commerce adoption and its impact on customer satisfaction by using TRA, TPB, TAM, and DOI theories were investigated by Alnaser, Alrawashed, and Saeed (2018) in Jordan. Moreover, García-Moreno, Moreno, Nájera-Sanchez, and Pablos-Heredero (2018) used the TOE framework to study the organizational factors impacts on e-business adoption in Spain. Indeed, Aboelmaged (2014) applied the TOE and TRI theories to analyze the TOE effects on emaintenance readiness in manufacturing firms in the United Arab Emirates. Furthermore, Lin (2014) used TOE to study the adoption of electronic supply chain management systems in Taiwan, and Cao, Jones, and Sheng (2014) used the TOE framework for the study of the adoption of hospital RFID patient tracking in the USA. DOI theory was adopted by Poorangi, Khin, Nikoonejad, and Kardevani (2013) to examine the ecommerce adoption in practitioner firm SMEs in Malaysia. According to the empirical analysis (Table 3), the majority of the studies, 54% (27) have used the TOE framework to examine the technology adoption, and Oliveira and Martins (2010), study reiterates that the majority of firms in 27 countries of the European Union had used the TOE framework for technology adoption studies. V. # Conclusion The purpose of this review is to identify theoretical models that were commonly adopted by the researchers for the technology adoption studies at the firm level, especially in e-commerce adoption and implementation, in different contexts. Hence, based on the extensive review of the 50 empirical studies conducted in 33 countries, it is evident that the TOE was the most adopted framework at the firm level of technology adoption studies within the past 10 years. Technological-Organizational-Environmental factors are considered as the fundamental elements of innovative technology adoption in any organization. The DOI theory is the second-largest theory applied by the researchers. This study helps future researches and recommends them to adopt these commonly tested theories in different contexts in the recent past, especially e-commerce related adoption studies at firm level. 12![Figure 1: Technological, organizational, and environmental framework (Tornatzky and Fleischer 1990) © 2020 Global Journals](image-2.png "Figure 1 : 2 Global") 14 2Literature Review of Technology Adoption Models at Firm Level; Special Reference to E-CommerceAdoptionYear 20206Volume XX Issue VI Version ITOETheoryNo of Studies 27% 54%( ) BDOI510%Global Journal of Management and Business ResearchTAM TOE and DOI TOE and TAM TOE and TRI TOE and TPB TOE and eMICA DOI and TAM TRI TPB TRA, TPB, TAM and DOI CAT, SM, IAM, TAM and ECBM4 3 1 1 1 1 2 1 1 1 18% 6% 2% 2% 2% 2% 4% 2% 2% 2% 2%General12%5010% (05) have adopted DOI theory for their studies.Another 8% (04) applied TAM and 6% (03) used TOEand DOI both for their studies.© 2020 Global Journals 3 © 2020 Global Journals * Affecting Factors to Intentions to Adoption of E-Commerce Technologies in SMEs of Pakistan AAbbas SAbdullah doi: 10.32861/ jssr.spi4.147.155 The Journal of Social Sciences Research SPI4 2018 * Social commerce adoption using TOE framework: An empirical investigation of Saudi Arabian SMEs SSAbed doi: 10.1016/ j.ijinfomgt.2020.102118 International Journal of Information Management 53 102118 2020 * Predicting e-readiness at firm-level: An analysis of technological, organizational and environmental (TOE) effects on e-maintenance readiness in manufacturing firms MGAboelmaged 10.1016/j.ijinfomgt.2014.05.002 International Journal of Information Management 34 5 2014 * Factors Affecting E-Commerce Adoption by Small Businesses in a Developing Country AAcilar Ç&karamasa 10.4018/978-1-4666-1957-9.ch010 ICT Influences on Human Development, Interaction, and Collaboration 2013 * Adoption Model of E-Commerce from SMEs Perspective in Developing Country Evidence -Case Study for Indonesia &taufikAgus H 2017 * 10.35808/ersj/887 European Research Studies Journal Issue 4B XX * E-Commerce Adoption at Customer Level in Jordan: an Empirical Study of Philadelphia General Supplies MAl SAl-Masaeed LAl-Qaisi Z&hunaiti doi: 10. 14569/ijacsa.2016.071125 International Journal of Advanced Computer Science and Applications 7 11 2016 * Factors Affecting e-Commerce Adoption in SMEs in the GCC: An Empirical study of Kuwait AIAl-Alawi FMAl-Ali 10.3923/rjit.2015.1.21 Research Journal of Information Technology 7 1 2015 * An Empirical Study of Factors Affecting Electronic Commerce Adoption Among Smes In Malaysia / Veiksni?, Turin?i??takos Elektorine iPrekybai, Studija: MalaizijosPavyzdys SSAlam MYAli MF MJani doi: 10.3846/ 16111699.2011.576749 Journal of Business Economics and Management 12 2 2011 * The factors affecting e-commerce adoption by Jordanian SMEs AAAl-Bakri MIKatsioloudes 10.1108/mrr-12-2013-0291 Management Research Review 38 7 2015 * Factors Influencing e-commerce Adoption by Retailers in Saudi Arabia: a qualitative analysis. The Electronic Journal of Information Systems in Developing Countries RAlghamdi SDrew WAl-Ghaith 10.1002/j.1681-4835.2011.tb00335.x 2011 47 * Adoption of E-Commerce by SMEs and Its Impact on Customer Satisfaction AS MAlnaser NHAlrawashed MASaeed Advanced Social Research 01 8 2018 * The Moderating Role of Power Exercise in B2B Ecommerce Adoption Decision AKAlsaad RMohamad NAIsmail 10.1016/j.sbspro.2014.04.060 Procedia -Social and Behavioral Sciences 130 2014 * Technology Readiness and E-Commerce Adoption among Entrepreneurs of SMEs in Bandung City NCAstuti RANasution 10.22146/gamaijb.5468 Indonesia. Gadjah Mada International Journal of Business 16 1 69 2014 * Factors affecting e-commerce adoption among SMEs in Ghana RAwiagah JKang JILim 10.1177/0266666915571427 Information Development 32 4 2016 * Factors affecting E-commerce adoption: A case of Turkey BBasarir-Ozel SMardikya The International Journal of Management Science and Information Technology 23 2017 * Contained nomadic information environments: Technology, organization, and environment influences on adoption of hospital RFID patient tracking QCao DRJones HSheng 10.1016/j.im.2013.11.007 Information & Management 51 2 2014 * E-Commerce Adoption of Small and Medium Enterprises in Fiji SChand BAKumar Fijian Studies 02 15 2017 * Factors affecting e-business adoption in SMEs: An empirical research PChatzoglou DChatzoudes 10.1108/jeim-03-2014-0033 Journal of Enterprise Information Management 29 3 2016 * Impact of Digital Technologies on Labor Market and the Transport Sector RChinoracký T?orejová 10.1016/j.trpro.2019.07.139 Transportation Research Procedia 40 2019 * Adoption of Electronic Commerce in Thai Travel Small and Medium Enterprises NChoochinprakarn 10.20472/bm.2016.4.1.001 International Journal of Business and Management 1 2016 * What Hinder SMEs from Adopting E-commerce? A Multiple Case Analysis SDahbi CBenmoussa 10.1016/j.procs.2019.09.118 Procedia Computer Science 158 2019 * Chapter 1 the Fourth Industrial Revolution: Seven Lessons from the Past LEden 10.1108/s1745-886220180000013002 Progress in International Business Research International Business in the Information and Digital Age 2018 * E-Commerce Adoption in Nigerian Businesses UOEkong PIfinedo CKAyo AIfinedo 10.4018/978-1-4666-3886-0.ch041 Small and Medium Enterprises 2012 * An Empirical Analysis of the Adoption Barriers of Ecommerce in Small and Medium sized Enterprises (SMEs) with implementation of Technology Acceptance Model MEsmaeilpour SYHoseini YJafarpour Journal of Internet Banking and Commerce 21 2 2016 * Factors influencing the adoption of information technology in the hotel industry. An analysis in a developing country IEzzaouia JBulchand-Gidumal 10.1016/j.tmp.2020.100675 Tourism Management Perspectives 34 100675 2020 * The impact of organizational factors on-business adoption: An empirical analysis MGarcía-Moreno SM GMoreno JJNájera-Sanchez CDPablos-Heredero 10.3926/jiem.2378 Journal of Industrial Engineering and Management 11 3 466 2018 * The Adoption of Electronic Commerce by Small and Medium Enterprises in Pretoria East. The Electronic Journal of Information Systems in Developing Countries AKGarg T&choeu 10.1002/j.1681-4835.2015.tb00493.x 2015 68 * Models for individual adoption of ecommerce, eBanking and eGovernment in Spain TGarín-Muñoz RLópez TPérez-Amaral IHerguera AValarezo MGhobakhloo DArias-Aranda JBenitez-Amado 10.1016/j.telpol.2018.01.002.29 Industrial Management & Data Systems 43 1 2019. 2011 Telecommunications Policy * Factors Affecting E-commerce Adoption of Small and Medium Enterprises in Sri Lanka: Evidence from Retail Sector DYGovinnage KM VSachitra 10.9734/ajarr/2019/v6i230147 Asian Journal of Advanced Research and Reports 2019 * An Empirical Study of Determinants of E-Commerce Adoption in SMEs in Vietnam LeHuy Van 10.4018/jgim.2012070102 Journal of Global Information Management 20 3 2012 * A Study of the Effectiveness of E-Commerce Adoption among Small and Medium-sized Enterprise (SME) in Postnatal Care Services Industry: a Case Study in Selangor I MSm S 10.37200/ijpr/v24i1/pr200182 Malaysia. International Journal of Psychosocial Rehabilitation 24 1 2020 * E-Commerce Adoption Among Retailing Malaysia's SMEs In Perspective of Technological-Organizational Environmental (TOE) Framework AFIsmail WSTean MFSam CSPei International Journal of Economics, Commerce and Management 12 2017 * Factors Affecting Adoption of Electronic Commerce among Small Medium Enterprises in Kenya: Survey of Tour and Travel Firms in Nairobi WKenneth MNRebecca AEunice International Journal of Business 2 4 2012 Humanities and Technology * A strategic framework for determining e-commerce adoption PLi WXie 10.1108/17468771211207321 Journal of Technology Management in China 7 1 2012 * Factors Influence SMEs in Malaysia to Adopt Ecommerce: Moderating Roles of Perceived Strategic Value SCLim ASBaharudin RQLow Journal of Engineering and Applied Science 06 12 2017 * Understanding the determinants of electronic supply chain management system adoption: Using the technology-organizationenvironment framework H.-FLin 10.1016/j.techfore.2013.09.001 Technological Forecasting and Social Change 86 2014 * The Impact of E-Commerce Adoption for Small and Medium Enterprise in Developing Country: A Case Study Uganda AMohamed RJenal SAHanawi Theoretical and Applied Information Technology 18 96 2018 * Impact of E-Commerce on Global Business and Opportunities -A Conceptual Study KSNair International Journal of Advanced Engineering and Management Research 2 2 2017. 2017th * Firms Patterns of e-Business Adoption: Evidence for the European Union27 TOliveira MMartins F The Electronic Journal Information Systems Evaluation 13 2010. 1 2010 * Understanding SaaS adoption: The moderating impact of the environment context TOliveira RMartins SSarker MThomas A&popovi? 10.1016/j.ijinfomgt.2019.02.009 International Journal of Information Management 49 2019 * Adoption of E-Commerce by the Small Scale Famers in Zimbabwe: An Empirical Analysis APhiri 10.6007/IJARBSS/v9-i4/5815 International Journal of Academic Research Business and Social Sciences 9 4 2019 * E-commerce adoption in Malaysian Small and Medium Enterprises Practitioner Firms: A revisit on Rogers model MMPoorangi EWKhin SNikoonejad A&kardevani 10.1590/0001-37652013103512 Anais Da Academia Brasileira De Ciências 85 4 2013 * Contextual factors and performance impact of e-business use in Indonesian small and medium enterprises (SMEs) PO HPutra HBSantoso 10.1016/j.heliyon.2020.e03568 2020 Heliyon 6 * Determinant Factors of E-commerce Adoption by SMEs in Developing Country: Evidence from Indonesia RRahayu JDay 10.1016/j.sbspro.2015.06.423 Procedia -Social and Behavioral Sciences 195 2015 * Organizational Factors Affecting E-commerce Adoption in Small and Medium-sized Enterprises RSenarathna HWickramasuriya 10.4038/tar.v22i2.2829 Tropical Agricultural Research 22 2 204 2011 * Explaining Contextual Factors Affecting e-Commerce Adoption Progression in Selected SMEs: Evidence from Botswana AlicePShemi ChrisProcter doi:10.1504/ ijmp.2013.052319 International Journal of Management Practice 6 1 94 2013 * Examining common information technology addictions and their relationships with non-technology-related addictions LSigerson AYLi .-LCheung MW .-LCheng C 10.1016/j.chb.2017.05.041 Computers in Human Behavior 75 2017 * Factors Affecting the Adoption of B2B e-Commerce Technologies IsmailSila 10.1007/s10660-013-9110-7 Electronic Commerce Research 13 2 2013 * Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice. Industrial Marketing Management, 69 NSyam ASharmab 2018 * Factors affecting e-commerce adoption in Jordanian SMEs STarawneh SAllahawiah European Journal of Scientific Research 64 4 2011 * Factors Influencing E-Commerce Adoption by SMEs Indonesia: A Conceptual Model ETriandini ADjunaidy D&siahaan Lontar Komputer 3 4 2013 * Strategies for the Adoption of E-commerce JGVargas-Hernández 10.4172/2375-4389.1000157 Journal of Global Economics 04 3 2015 * Factors Affecting Ecommerce Adoption and Implementation in Small and Medium-Sized Enterprises HWang JHou 10.4156/jdcta.vol6.issue7.21 International Journal of Digital Content Technology and Its Applications 6 7 2012 * The Fourth Industrial Revolution: Opportunities and Challenges MXu JMDavid SHKim 10.5430/ijfr.v9n2p90 International Journal of Financial Research 9 2 90 2018 * Factors Affecting E-Commerce Adoption by Handicraft SMEs of India RYadav T&mahara 10.4018/jeco.2019100104 Journal of Electronic Commerce in Organizations 17 4 2019 * Factors affecting adoption of smart farms: The case of Korea CYoon DLim CPark 10.1016/j.chb.2020.106309 Computers in Human Behavior 108 106309 2020 * The Role of E-commerce Industry in the Sustainable Economic Development of Iraq AAZaboon NKGanawi AADakhil International Journal of Entrepreneurship 22 2018 Special Issue