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Since the 1980s, a substantial number of theories have contributed extensively to information and communication technology (ICT) adoption. Much of such theories regarded ICT adoption as a one-off action as they specifically focus on factors affecting decision making at one decision point. They tend to play down on the fact that as adoption decision progresses through stages, they are supposedly influenced by the same or different factors. Therefore, the purpose of this paper is to examine the dynamic process of ICT adoption using the concepts of dynamic capabilities.

This study used qualitative approach to gain in-depth insight into the dynamic and evolutionary process of emerging information and communication technology (EICT) adoption in UK small service SMEs. Unstructured and semi-structured interviews were conducted in two separate rounds with 26 participants drawn from Crunch Online Data Base and Luton Business Directory. The participants were selected from a sample of 65 drawn from extended classification of professional service businesses proposed by Ramsey et al. (2008). They include managers, government agencies, SMEs consultants and IT vendors; and then purposeful random sampling and snowball sampling were used.

The study developed a framework from the concept of dynamic capabilities and found that using the concept of dynamic capabilities to examine the process of EICT adoption helps to unveil the recursive nature of the process and how the factors vary at both single and multiple stages of adoption.

This study is limited by its focus and other factors. Studying the opinions of small service UK SMEs limits the power of generalizing the identified causal relationships; therefore, extended measures are required on accounts of environmental, cultural, geographical and sectoral differences. While some errors seemed unavoidable when measures appear subjective and prone to common error biases, the study advised on recognizing the over-riding influence of the factor(s) at each stage of the adoption process in order to be proactive in committing resources.

This work focuses on emerging ICT adoption in SMEs from the dynamic and evolutionary process perspective using the concept of dynamic capability. It advances ICT adoption research by developing a framework to depict that ICT is not a one-off event, rather it is dynamic and interactive in nature and factors influencing adoption vary from one stage or the other.

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.

Most studies in information behaviour have focussed on information behaviour aspects such as environmental uncertainty, scanning behaviour of top management executives, student and women information behaviour, information source and credibility, while little is known about the information behaviour of small- and medium-sized enterprises (SMEs) when the need for emerging information and communication technology (EICT) adoption decision-making arises. This paper, therefore, aims to explore the major determinants of perceived information need for EICT adoption by UK small service-oriented businesses.

The study adopted qualitative method to explore 13 key determinants of SME managers’ information behaviour for EICT adoption decision-making by using both unstructured and semi-structured interviews at two different stages with 20 participants drawn purposeful from Luton directories.

The study developed an extended technology, organisation and environment (TOE) framework by identifying and incorporating the information context which helped to unveil 13 key determinants of perceived information need and their impact on EICT adoption decision-making in SMEs. This further provided insight into understanding SMEs’ information behaviour. While the determinants associated with TOE and information contexts influence SMEs’ perceived information need for EICT adoption, the extent at which these four constructs shape SMEs’ perceived information need for EICT adoption decision-making differs.

The limitation of this study emerged because of the use of qualitative methodologies in relation to the research design, rigour in the collection and management of the large volume of the raw data, the data analysis and the credibility of the findings. This may lead to unforeseen respondent – and research – bias in the data analysis, which may lead to limited understanding of alternatives and insights into the key determinants of perceived information need for EICT adoption decision. Hence, other measures and approaches such as case study and mix-method could be deployed to further validate the findings. Also, one of the limitations of qualitative study has been the issue of theoretical generalizability of the framework. The generalizability of the formwork needs to be established across a wider range of population. Future studies may apply a confirmatory statistical techniques to test and ascertain the validity and reliability of the framework across a wider population. Such studies may be used as a benchmark for the theoretical constructs and the factors that may lead to success or failure of mobile marketing technology adoption.

The study has further enriched TOE framework and provided an analytical dimension for exploring key determinants of SMEs’ perceived information need for EICT adoption decision-making. It also demonstrates the capacity to provide a reliable explanation of the determinants and serves as a tool for evaluating the benefits or challenges of SMEs’ information behaviours when the need for EICT adoption arises.

The popularity and use of mobile marketing technologies or devices have led to significant interest from researchers and practitioners, particularly in small- and medium-sized enterprises (SMEs), where these technologies offer significant benefits to SMEs given the poor human capital and financial constraints encountered. The use of mobile marketing devices assists SMEs to boost their sales promotion strategies which aim at increasing the sales of their products and services. However, there has been limited focus on developing a suitable framework that enables the evaluation and shared an understanding of the factors influencing the adoption of mobile marketing technology by service SMEs in Nigeria. Therefore, this paper aims to develop a theoretically grounded framework for exploring these factors and explaining their impact on mobile marketing technology adoption in SMEs in Nigeria.

The study is qualitative and used both unstructured and semi-structured interviews with a total of 26 participants drawn purposively from NIJA database in Nigeria. Thematic analysis was deployed in analysing the data.

The study developed an extended technology organisation environment (TOE) framework by incorporating the value anticipation context which helped to unveil 16 key factors influencing mobile marketing technology adoption in service SMEs in Nigeria. The finding revealed that factors associated with the extended TOE framework have an impact on SMEs mobile le marketing technology adoption but at different levels.

The limitation of this study emerged because of the use of qualitative methodologies about the research design, rigour in the collection and management of the large volume of the raw data, the data analysis and the credibility of the findings. This may lead to unforeseen respondent and research bias in the data analysis, which may lead to a limited understanding of alternatives and insights into the factors influencing the adoption of mobile marketing. Hence, other measures and approaches such as case study and mix-method could be deployed to validate the findings further. Also, one of the limitations of qualitative study has been the issue of theoretical generalizability of the framework. The generalizability of the formwork needs to be established across a broader range of the population. Future studies may apply confirmatory statistical techniques to test and ascertain the validity and reliability of the framework across a broader population of mobile marketing technology adopters in Nigeria. Such studies may be used as a benchmark for the theoretical constructs and the factors that may lead to the success or failure of mobile marketing technology adoption.

The study had further enriched TOE framework and provided an analytical dimension for exploring the adoption of mobile marketing technology. It also demonstrates the capacity to provide a reliable explanation of the factors and serves as a tool for evaluating the benefits or challenges of mobile marketing technology adoption in SMEs in Nigeria.

While traditional theories of information and communication technology (ICT) adoption have been deployed to study ICT adoption in the past, these theories considers ICT adoption as static and rely on conceptualising factors as variables and predicting their levels of outcome at a single decision stage. Although much has been credited to these theories, they have continuously ignored the fact that as decisions to adopt are made and challenged along the adoption process, such decision can be influenced by the same, different or combination of factors at different stages of the adoption process. This paper aims to examine ICT adoption from a dynamic process perspective and to explore the key determinants and how these differ from one stage of the adoption process to another.

Qualitative method was adopted in this study. Both unstructured and semi-structured interviews were conducted in two separate stages using purposeful random sampling. Hybrid approach of thematic analysis was adopted in analysing the data.

This study develops a framework informed by actor network theory (ANT) concepts and finds that using ANT to examine the process of adoption helps to unveil the recursive nature of the process. The study reveals that the 14 determinants identified in this study influenced adoption at different stages. Factors such as ease of use, managerial time, customer focus and adoption influenced adoption at all the stages. This reveals that factors influencing ICT adoption are not static at one particular stage rather it may influence ICT adoption at different stages.

Qualitative research is often subjective and interpretive in nature, and one of the limitations is the sample used in this research. Considering the small number of interviews carried out in this study, the generalisation of finding and the framework remains to be established across a wider population. Therefore, the factors presented could be limited considering that a number of practitioners that are involved in establishing emerging ICT are numerous. Therefore, other factors are prevailing to other industries or sectors that may provide scholars another way of examining these factors. Also, the framework demonstrates that it is a valuable analytical tool for researchers to examine how and why different actors including small and medium enterprise (SME) managers act around emerging ICT.

This study develops a framework that revealed the interactive and recursive nature of ICT adoption and the determinants influencing the process of ICT adoption at different stages thereby advancing ICT adoption research. The study challenges researchers to always consider ICT adoption as dynamic and unpredictable instead of one-off action as factors influencing its adoption are not static rather; they vary from one stage to another.

While a substantial number of studies have examined information behaviour, most centred on choice of information source, student information behaviour, information behaviour of women, environmental uncertainty and scanning behaviour of top-level hotel executives. However, little is known about how the small and medium enterprise (SME) managers scan, seek, gather, document and use information relevant for emerging information and communication technology (EICT) adoption decision-making. This paper aims to examine the key success factors influencing SME manager’s information behaviour on EICT adoption decision-making.

This study deploys a qualitative approach to exploring 16 key success factors shaping SME managers’ information behaviour on EICT adoption decision-making. More specifically, the study adopted both unstructured and semi-structured interviews with 20 small business managers drawn purposeful from Crunch Database.

This study develops an extended technology, organisation and environment framework by incorporating the information context which helped to unravel 16 key success factors influencing small business managers’ information behaviour on EICT. From the technology context, uncertainty driven, compatibility, replacement of legacy technology, relative advantages, lack of technical know-how and perceived affordability fit for purpose influence SME managers’ information behaviour. Users’ acceptance information, efficiency driven, owner’s support shape the organisation context of perceived information need; competitor’s intelligence gathering, customer’s information gathering provider credibility and government policy influence the environmental context of perceived information need; and finally, perceived information sources credibility, herding event, testimonial and openness to other people’s ideas and experiences are shaped by the information context.

Qualitative research is normally subjective, interpretive and limited on the sample used. Because of the limited number of interviews, the generalisation of the framework and the finding is difficult. Therefore, the finding and the framework need to be established across broader population. The findings are vital considering the fact that small business managers are limited in knowledge and the study may improve the way and manner they go about seeking and gathering information relevant in adopting new ICT.

This research provides further insight into SME managers’ information behaviour by developing a framework and identifying main factors influencing SMEs information behaviours on EICT. Therefore, understanding such factors will enrich their knowledge on some of the factors that may shape their decisions during EICT adoption decision to make effective decision.

Although several researchers have made significant efforts to examine the adoption of social media marketing technology in Nigeria, many have focussed on large organizations while others have constantly extrapolated the findings obtained in the Western world as if small and medium enterprises (SMEs) have the same structure, managerial capabilities, and operate in the same way. This has hindered the development of an integrated framework aimed at unravelling the factors shaping the adoption of social media marketing applications in SMEs in Nigeria. The paper, therefore, aims to explore some antecedent factors that shape SMEs adoption of social media marketing applications in SMEs in Nigeria.

The study deployed a qualitative approach with the use of unstructured and semi-structured interviews with a total of 20 participants drawn purposeful from Nigeria directories and analysed by using a hybrid method of thematic analysis.

The study developed an extended technology–organization–environment framework (TOE) framework that incorporated the communication context, which aids in identifying 11 key success factors shaping SMEs adoption of social media marketing technology in Nigeria. The findings associated with the extended TOE framework show that they have an impact on social media marketing technology adoption in SMEs.

Because the researchers adopted the qualitative method, the findings may lead to some bias in the analysis of the data which may limit the insights into the key factors shaping the adoption of social media marketing technology adoption. Future studies may adopt a mixed-method approach or a comparative approach to confirm the finding and to better understand the critical factors linked to the framework. Although it is believed the with the use of thematic data analysis, the results are well associated with the structure; however, the structure has limitations. Drawing from the data analysis, the factors are limited. Other factors which may positively influence social media marketing adoption in SMEs. Hence, further studies are needed in this area in a bid to explore these factors by using different research appraoches.

The study has enriched the existing TOE framework and provided insights into the dominant issue faced by SMEs in adopting social media marketing technology, provided an analytical dimension, reliable explanation of these finding and tool for evaluating some of the challenges faced by SMEs in the adoption of social media marketing technology.

Emphasis of previous research on e-banking has been on factors that influence its adoption or constraints to the adoption or the extent to which customer awareness influences its adoption. This study investigated “Exposure to/usage of e-banking channels: Implications for customer awareness and attitude in Nigeria”. The purpose of this paper is to determine the extent to which consumers’ exposure to and usage of e-banking channels influence their awareness and attitude towards e-banking in Nigeria.

The study used the quantitative research design; specifically, the conclusive research design was used and data collection was done through the survey method. The population of the study consisted of the customers of EcoBank, First bank and Zenith bank in Edo, Kogi and Kwara states of Nigeria. A structured questionnaire was used to elicit the desired data from 480 respondents selected from 30 branches of 3 banks in two states. One sample t test was used to test for significance of the usage of e-banking channels to customers’ awareness and attitude towards e-banking. Subsequently, regression analysis was performed to determine the predictive power of the e-banking channels.

Customers’ exposure to and usage of ATM, internet banking and mobile banking has significant influence on consumers’ attitude towards e-banking in Nigeria. In view of the findings, a modified model of customer usage and attitude towards e-banking in Nigeria is proposed.

The customer’s inability to exercise absolute right on the banking option to use at all times and the non-inclusion of other channels of e-banking whose usage can influence consumers’ awareness and attitude towards e-banking.

The need for financial institutions, especially banks, to expose their customers to e-banking channels to demystify their fears as well as increase their awareness and thus influence their attitude to e-banking.

Exposure of bank customers to e-banking will reduce cash transactions and thus help to significantly reduce social vices associated with physical cash, especially armed robbery.

The work is a departure from previous studies because it is the only one that has emphazised exposure to e-banking as a solution to awareness creation and positive attitude of customers. Its value lies in its potential to make e-banking user friendly in no distance time.

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.

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.