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The T-O-E framework enjoys robust scholarly accolade but it rarely espouses clearly task and individual factors. Although task and individual contexts had been separately addressed by task-technology-fit (TTF) and unified theory of acceptance and use of technology (UTAUT), respectively, the purpose of this paper is to complement and/or extend the T-O-E’s insights by integrating TTF and UTAUT frameworks, and developing and empirically testing a 12-factor framework that spans five contexts.

Survey data were proportionally collected from six groups of small service enterprises with strong operations in Port Harcourt, Nigeria and the mode of sampling was purposive and snow-ball while analysis involved logistic likelihood regression.

The relationship between adoption and the factors within the contexts of technology, organization, environment and task were statistically supported though some had negative coefficients. For individual context, social factor had a statistically significant negative coefficient but hedonistic drive was not statistically supported.

The study is limited by its scope of coverage; therefore, extended data are needed to apply the findings to other sectors/industries and to factor in the implementation and post-adoption phases and business-to-business adoption in order to forge a more integrated and holistic adoption framework.

The findings encourage vendors and policy makers to place more premiums on organizational and task factors than on technological, environmental and individual factors and to craft informed marketing programs that would appeal to actual and potential adopters and cause them to progress in the loyalty ladder.

This paper contributes to the growing research on technology adoption; it uses factors within the T-O-E, TTF and UTAUT frameworks to explain adoption of technologies and to establish the underlying relationships amongst T-O-E factors through integrating other useful frameworks.

This paper aims to propose and test a ten-factor framework of four contexts from technology-organization-environment (T-O-E) theory and unified theory of acceptance and use of technology (UTAUT) to provide insight(s) that complements and extends extant inquiries on technology adoption.

Survey data were collected from small service enterprises with strong operations in Port Harcourt, Nigeria, and the mode of sampling was purposive and snow ball, whereas analysis involved structural equation modeling.

The results show that factors in the technological, organizational and environmental contexts have direct statistically significant relationship with adoption; thus, adoption is more driven by T-O-E factors than by individual factors. For individual context, social factor equally was statistically supported, whereas hedonistic drive was not.

The study is limited by its scope of data collection and phases; therefore, extended data are needed to apply the findings to other sectors/industries/countries and to factor in the implementation and post-adoption phases and business to business (B2B) adoption to forge a more holistic framework.

Implicit is that the findings encourage vendors and policy makers to recognize the strength of interpersonal and group relationships in addition to T-O-E contexts in developing investment decisions.

The paper contributes to the growing research on innovation adoption by using factors within the T-O-E and UTAUT frameworks to explain SMEs’ adoption of technologies.

The purpose of this paper is to attempts to provide further insight into IS adoption by investigating how 12 factors within the technology-organization-environment framework explain small- and medium-sized enterprises’ (SMEs) adoption of enterprise resource planning (ERP) software.

The approach for data collection was questionnaire survey involving executives of SMEs drawn from six fast service enterprises with strong operations in Port Harcourt. The mode of sampling was purposive and snow ball and analysis involves logistic regression test; the likelihood ratios, Hosmer and Lemeshow’s goodness of fit, and Nagelkerke’s R² provided the necessary lenses.

The 12 hypothesized relationships were supported with each factor differing in its statistical coefficient and some bearing negative values. ICT infrastructures, technical know-how, perceived compatibility, perceived values, security, and firm’s size were found statistically significant adoption determinants. Although, scope of business operations, trading partners’ readiness, demographic composition, subjective norms, external supports, and competitive pressures were equally critical but their negative coefficients suggest they pose less of an obstacle to adopters than to non-adopters. Thus, adoption of ERP by SMEs is more driven by technological factors than by organizational and environmental factors.

The study is limited by its scope of data collection and phases, therefore extended data are needed to apply the findings to other sectors/industries and to factor in the implementation and post-adoption phases in order to forge a more integrated and holistic adoption framework.

The model may be used by IS vendors to make investment decisions, to meet customers’ needs, and to craft informed marketing programs that would appeal to actual and potential adopters and cause them to progress in the customer loyalty ladder.

The paper contributes to the growing research on IS innovations’ adoption by using factors within the T-O-E framework to explains SMEs’ adoption of ERP.

The purpose of this paper is to specifically investigate and prioritize the effects of 13 factors in determining ICT adoption in Nigerian universities.

The constructs of theoretical framework of technology‐organization‐environment (T‐O‐E) underpin the survey. The survey adopted in‐depth unstructured and semi‐structured interviews with 30 senior executives drawn purposefully from at least one university in each of the five state capitals in south‐eastern Nigeria.

Evidence from the study shows that, irrespective of the perceived competitive pressures and perceived benefits of ICT solutions, government‐owned universities are yet to exploit its full potentials in their operations. This behaviour is informed by incessant corrupt practices; irregular energy supply and internet connectivity/accessibility; lack of financial capacity, expert skills, managerial and technical flexibility/support; and poor regulatory policies and government supports.

The paper raised some challenges that will serve as points of departure to future researchers and provides university management, government, policy makers, and other stakeholders the bases for encouraging ICT adoption.

This paper aims to propose a framework that integrated the technology acceptance model (TAM), theory of planned behaviour (TPB) and technology-organization-environment (TOE) and extended the constructs to enrich literature and capture some peculiarities of small and medium-scale enterprises (SMEs). Individually, the frameworks of extant TAM, TPB and TOE are insightful to the understanding of e-commerce adoption but a bit parochial in their constructs and so, can rarely provide clear lenses to deal with SMEs.

The adoption of e-commerce depends largely on the users’ conscious assessment of the influencing constructs as proposed, among others, in theories of reasoned action, TAM, TPB and TOE. This paper reviewed, synthesized and extended the constructs of these models in an integrated framework. The proposed integrated framework led to 18 propositions to promote and facilitate future research, and to guide explanation and prediction of e-commerce adoption in an organized system.

The introduced constructs in the integrated framework (e.g. company mission, individual difference factors, perceived trust and perceived service quality) introduce socio-technical systems and improve the theoretical base of adoption.

Neither the adoption drivers nor the constructs in the theoretical framework are mutually exclusive and exhaustive; rather, they are complementary and could incorporate other factors. Although the theoretical implications of the findings of this paper extend the scope of adoption drivers, the proposed framework needs to be tested empirically.

The integrated and extended theoretical framework links three adoption drivers and attempts to improve existing knowledge on e-commerce adoption and to provide bases for more informed decision(s).

The purpose of this paper is to investigate the impacts of such demographic variables as age composition, gender sensitivity, experience, homogeneity/heterogeneity and educational attainment of top management teams (TMT) on small to medium‐sized enterprises (SMEs)' information technology (IT) adoption behaviour.

The data collection method was primarily field survey guided by the five working hypotheses and research objectives. Analysis of the data was made with multiple regression analysis and Pearson correlation coefficient as there were five independent variables that entered into the equation, though at different stages/times.

As the study unravelled, the age composition, experience and gender sensitivity of TMT members of SMEs were found to have significantly strong power of predicting the extent of adoption of IT. Group homogeneity, in terms of functional track, has negative impacts and education has weak impacts, contrary to many previous inquiries.

The paper takes a sample of subjects across industries from where findings are specifically generalized. Extended data and measures are required for further in‐depth investigation in specific areas and industries not covered by this work in order to build external validity and further expand knowledge. Also, the paper suggests that marketers of IT infrastructures are encouraged to focus more on individual and group idiosyncrasies of decision makers measured by age, gender and experience in order to accurately predict and timely package programmes that win trial, loyal, switching and viral/advocacy behaviours in this global age.

The paper bridges a knowledge gap by replicating and complementing upper echelon theory on the extent to which IT adoption is determined and shaped by the demographic factors of members of TMT in Nigeria, where such studies rarely exist.

This paper aims to consolidate the state of research on information behaviour. Regardless of the scholarly surge on information behaviour using numerous models and extended ones, gaps still exist on the development of more pragmatic frameworks that explain and/or predict the information behaviour across different fragmented environmental situations. Therefore, this paper extends technology-organization-environment (T-O-E) framework and synthesizes different research positions into a multi-dimensional framework that assists small and medium enterprises (SMEs) to understand their information behaviour and to make informed decisions on the adoption of emerging information communication technology (EICT).

This study deployed an inductive approach; data were generated from unstructured and semi-structured interviews with 20 participants drawn purposively from Luton directories.

This study developed a more integrated framework underpinned by T-O-E framework, which helped to identify how EICT adoption is critically shaped by perceived information need, information sources selection and the factors determining information source selection.

Qualitative research is normally subjective, inductive, interpretive and limited on the sample used. However, because of the limited number of interviews used, as well as industry-specific nature of the study, the generalization of the framework and the findings will be difficult, hence, the need to test the framework on a broader population and cross-context testing.

The T-O-E framework is extended to Expectancy (T-O-E-E) to provide a more robust insight into information behaviour of SMEs from a multi-dimensional perspective. It also offers a more analytical framework for exploring critical issues identified and demonstrates the capacity to provide a reliable explanation to the findings. Further, it serves as a tool for assessing the benefits or challenges of SMEs information behaviour especially on the EICT adoption decision.

The purpose of this paper is to examine the effect of auditor alternative work arrangement (AWA) participants’ and non-participants’ perceptions of procedural and distributive justice on organizational commitment.

Using survey data from 110 auditors in the USA, this study uses a regression model to explore how AWA participants’ and non-participants’ perceptions of procedural and distributive justice affect organizational commitment.

As predicted, results show both participants’ and non-participants’ perceptions of procedural justice significantly affect organizational commitment. However, neither groups’ perceptions of distributive justice significantly affect their organizational commitment.

Organizational justice literature has shown that procedural and distributive justice influence organizational commitment. However, no study has controlled for AWA participation. The authors extend research by investigating the effects of procedural and distributive justice perceptions on organizational commitment for both participants and non-participants. The authors also extend accounting research that has narrowly examined AWA benefits and drawbacks, support, viability and perceptions of subordinate career success. Furthermore, there is limited AWA auditing research and this study offers a view prior to the COVID-19 pandemic.