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1 – 10 of over 118000Surabhi Verma and Som Sekhar Bhattacharyya
The purpose of this paper is to provide an insight about factors affecting Big Data Analytics (BDA) utilization and adoption in Indian firms. Research studies have so far focused…
Abstract
Purpose
The purpose of this paper is to provide an insight about factors affecting Big Data Analytics (BDA) utilization and adoption in Indian firms. Research studies have so far focused on BDA adoption in developed economies. This study examines the factors that influence BDA usage and adoption in the context of emerging economies.
Design/methodology/approach
This study proposed a theoretical model of factors influencing BDA utilization and adoption. Two independent research streams – first, the top managers’ perceived strategic value (PSV) in BDA and second, the factors that influence the adoption of BDA theoretically – have been integrated with the technology-organization-environment (TOE) framework. In the BDA context, there was a theoretical necessity to identify the driver and barriers of BDA from the TOE framework on PSV and adoption of BDA. A qualitative exploratory study using face-to-face semi-structured interviews was carried out to collect data from 22 different enterprises and service providers in India. India was selected as the context as it is one of the fastest growing large economies of the world with huge potential of BDA to improve the business landscape.
Findings
The results showed that the major reason behind BDA non-adoption is that the organizations did not realize the strategic value (SV) of BDA, and they were not ready to make the changes because of technological, organizational and environmental difficulties. The findings corroborate previous results about significant factors affecting IT adoption and implementation and provide new and interesting insights. The main factors identified as playing a significant role in organizations’ adoption of BDA were SV of BDA, complexity, compatibility, IT assets, top management support, organization data environment, perceived costs, external pressure and industry type.
Research limitations/implications
The main limitation related to this study is the difficulty in generalizing the findings to a larger population of enterprises. To overcome this, a statistical survey has been planned to be conducted in the future.
Practical implications
The BDA adoption model in this study will have both managerial implications for practitioners in India, as well as those in other developing countries, and academic implications for researchers who are interested in BDA adoption in developing counties, in terms of formulating better strategies for BDA adoption. For managers, using the research model of this study could assist in increasing their understanding of why some organizations choose to adopt BDA, while similar ones facing similar conditions do not. Also, the understanding of the strategic utilization of BDA in different business processes may improve the adoption of BDA in organizations.
Originality/value
This paper contributes in exploring and enhancing the understanding of the factors affecting the utilization and adoption of BDA in organizations from an Indian perspective. This study is an attempt to develop and explore a BDA adoption model by the fusion of PSV and TOE framework. The effect of the three contexts of this framework (technological, organizational and environmental) on the strategic utilization of BDA has been studied for the first time.
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Visual analytics is increasingly becoming a prominent technology for organizations seeking to gain knowledge and actionable insights from heterogeneous and big data to support…
Abstract
Purpose
Visual analytics is increasingly becoming a prominent technology for organizations seeking to gain knowledge and actionable insights from heterogeneous and big data to support decision-making. Whilst a broad range of visual analytics platforms exists, limited research has been conducted to explore the specific factors that influence their adoption in organizations. The purpose of this paper is to develop a framework for visual analytics adoption that synthesizes the factors related to the specific nature and characteristics of visual analytics technology.
Design/methodology/approach
This study applies a directed content analysis approach to online evaluation reviews of visual analytics platforms to identify the salient determinants of visual analytics adoption in organizations from the standpoint of practitioners. The online reviews were gathered from Gartner.com, and included a sample of 1,320 reviews for six widely adopted visual analytics platforms.
Findings
Based on the content analysis of online reviews, 34 factors emerged as key predictors of visual analytics adoption in organizations. These factors were synthesized into a conceptual framework of visual analytics adoption based on the diffusion of innovations theory and technology–organization–environment framework. The findings of this study demonstrated that the decision to adopt visual analytics technologies is not merely based on the technological factors. Various organizational and environmental factors have also significant influences on visual analytics adoption in organizations.
Research limitations/implications
This study extends the previous work on technology adoption by developing an adoption framework that is aligned with the specific nature and characteristics of visual analytics technology and the factors involved to increase the utilization and business value of visual analytics in organizations.
Practical implications
This study highlights several factors that organizations should consider to facilitate the broad adoption of visual analytics technologies among IT and business professionals.
Originality/value
This study is among the first to use the online evaluation reviews to systematically explore the main factors involved in the acceptance and adoption of visual analytics technologies in organizations. Thus, it has potential to provide theoretical foundations for further research in this important and emerging field. The development of an integrative model synthesizing the salient determinants of visual analytics adoption in enterprises should ultimately allow both information systems researchers and practitioners to better understand how and why users form perceptions to accept and engage in the adoption of visual analytics tools and applications.
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John Aliu, Douglas Omoregie Aghimien, Ogungbayi Olumide David and Ayodeji Emmanuel Oke
The slow adoption of unmanned aerial vehicles (UAVs) in the construction industry, particularly in developing countries like Nigeria, underscores the need for a deeper…
Abstract
Purpose
The slow adoption of unmanned aerial vehicles (UAVs) in the construction industry, particularly in developing countries like Nigeria, underscores the need for a deeper understanding of the critical factors influencing their adoption. This study aims to identify these factors using the Technology-Organization-Environment (TOE) framework and address uncertainties in their prioritization through Fuzzy Synthetic Evaluation (FSE). The utility of this approach lies in its ability to provide construction organizations with actionable insights to enhance operational efficiency and competitiveness through effective UAV adoption.
Design/methodology/approach
A post-positivist philosophical stance was adopted, wherein quantitative data were gathered from construction professionals in Nigeria via a questionnaire survey. The collected data were analyzed using the Cronbach alpha test as a measure of internal consistency and the FSE test to synthesize critical drivers for the adoption of UAVs.
Findings
The study found that drivers related to technology and organization are the most critical drivers. This implies that variables related to technology and organization warrant a higher level of focus if UAVs are to continue gaining popularity within the construction industry. Additionally, this study identified that logistic management, construction monitoring and site surveying represent the most critical areas of UAV application within the construction industry.
Practical implications
The emphasis on technology and organizational drivers as critical factors suggests that construction companies should prioritize investments in technology infrastructure and cultivate an organizational culture that embraces innovation. This may involve providing training to construction professionals to enhance their technological skills and fostering a leadership culture that champions technology adoption.
Originality/value
This study introduces novelty by applying the TOE framework, which has received limited attention in UAV adoption studies within construction. Additionally, the use of FSE addresses uncertainties in prioritizing critical drivers, particularly relevant in developing countries facing unique technological challenges. By assigning priority to these factors, this research lays the groundwork for a more informed and strategic approach to UAV adoption.
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Omar Ali, Anup Shrestha, Valmira Osmanaj and Shahnawaz Muhammed
The significance of cloud services in information technology (IT) is increasing as a means of achieving enhanced productivity, efficiency and cost reduction. Through cloud-based…
Abstract
Purpose
The significance of cloud services in information technology (IT) is increasing as a means of achieving enhanced productivity, efficiency and cost reduction. Through cloud-based service, the reliability and scalability of an organization’s systems can be enhanced since organizations such as local governments are able to concentrate on their main business strategies. This research seeks to identify critical factors that may have an impact on the acceptance of cloud-based services, where the organizational context is based on local governments in Australia.
Design/methodology/approach
To formulate a more comprehensive IT innovation adoption model for cloud technology, factors from the technology-organizational-environment framework, desires framework and diffusion of innovation model were integrated. Data was obtained from 480 IT staff working in 47 local government organizations.
Findings
The research results show that the factors which had a statistically significant and positive impact on the adoption of cloud-based services in local governments were compatibility, complexity, cost, security concerns, expected benefits and organization size. It is likely that the outcomes from this research will provide insights to any organization seeking to make investment decisions on the adoption of cloud-based services.
Research limitations/implications
Limitations include generalizability of the findings since the data is restricted to local government areas in Queensland, Australia. Further, the sample mostly included individuals with managerial positions and may not completely capture the cloud adoption factors relevant for front line IT employees. Another limitation is the possible omission of factors that may be relevant but not considered due to the selected theories. Lastly, this research did not differentiate between different types of cloud adoption such as private, public, community and hybrid models that are possible in this context.
Originality/value
The paper provides a combination framework of cloud-based service adoption based on a literature review on cloud adoption from an IS perspective. It adapts integrated model to establish a more comprehensive innovation adoption framework for cloud technology.
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David Adade and Walter Timo de Vries
This study aims to understand and explain factors that influence how, when and under which conditions local governments adopt digital technologies for citizen collaboration. It…
Abstract
Purpose
This study aims to understand and explain factors that influence how, when and under which conditions local governments adopt digital technologies for citizen collaboration. It discusses what these findings mean for city digital twin adoption.
Design/methodology/approach
This research uses the systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) process to collect and evaluate evidence needed to answer the research questions. It uses the technology–organisation–environment (TOE) framework and proposes an additional dimension: “stakeholders” as the analytical framework.
Findings
Critical influential factors identified include the technology dimension: security and privacy; organisation dimension: top management support; environment dimension: political influence; and stakeholders’ dimension: technological experience.
Research limitations/implications
This research extends the TOE framework and comprehensively analyses those factors which relate to citizens but significantly impact local government’s decision to adopt digital tools for collaboration purposes. This research posits that in the context of local government technology adoption for collaboration, both the organisation and stakeholders’ dimensions are critical.
Social implications
This research contributes to the government-citizen discourse and provides a constructive understanding of technological transformation in collaborative planning. The findings are helpful for local governments, researchers and geospatial industries as they offer a critical understanding of digital technology adoption, particularly city digital twins, for collaborative planning.
Originality/value
This study extends the TOE framework to include aspects relating to citizens. It provides a nuanced understanding of the influential factors and intricacies of technology adoption by local governments for citizen collaboration. It also discusses relevant issues of city digital twins’ adoption by local governments for citizen participation.
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Hart O. Awa, Ojiabo Ukoha Ojiabo and Longlife E. Orokor
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Practical implications
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.
Originality/value
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.
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Sunday C. Eze, Vera C. Chinedu-Eze, Hart Okorie Awa and Temitope A. Asiyanbola
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…
Abstract
Purpose
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).
Design/methodology/approach
This study deployed an inductive approach; data were generated from unstructured and semi-structured interviews with 20 participants drawn purposively from Luton directories.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
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Sunday C. Eze, Vera C. Chinedu-Eze, Adenike Oluyemi Bello, Henry Inegbedion, Tony Nwanji and Festus Asamu
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
Mei Peng Low, Choon Sen Seah, Tat-Huei Cham and Sian Hoon Teoh
This research is set to assess the achievement of digital economy through digitalization adoption (DA) among Small Medium-sized Enterprises (SMEs). For more insightful findings, a…
Abstract
Purpose
This research is set to assess the achievement of digital economy through digitalization adoption (DA) among Small Medium-sized Enterprises (SMEs). For more insightful findings, a comparison between the service-based and non-service-based industries was performed. Besides, it endeavours to identify the important and performing dimension of the Technology-Organization-Environment (TOE) framework. The purpose of this paper is to address these issues.
Design/methodology/approach
Quantitative approach through purposive sampling technique was used to collect data from the SMEs. Variance-based structural equation modeling was adopted to assess the model and multi-group analysis (MGA) was executed to examine the difference between the two classified industries. For the identification of the dimension, Importance-Performance Map Aanalysis (IPMA) was carried out.
Findings
Technology and organization recorded significant positive influence on digitalization adoption but not environment. Digitalization adoption between the two classified industries shows divergent results. IPMA concur the importance and performance of the technology and organization dimension, in which SMEs shall focus on for digitalization adoption.
Research limitations/implications
This is cross sectional research and data were collected at a single time frame. Hence, the result is a state-or-art finding. Assuming that if there are changes in government policies, the results may differ. Besides, there are other possible groupings that could affect the results in which is not covered in the present research.
Practical implications
The findings imply that the DA amongst SMEs has yet to achieve its full spectrum, which indicates Malaysia has yet to fully embrace digital economy. Nevertheless, DA is the fundamental for a successful digital economy.
Social implications
This research provides the general public an overview that SMEs are adopting digitalization with various degree. This specifies that the society is paving towards digitalization with the SMEs actively adopting more digital technologies.
Originality/value
The novelty of this research arises from the utilization of the TOE framework to link to the achievement of the national digital economy. Additionally, current research adopted a rigorous approach to investigate the issue by using MGA, the hierarchical component model (HCM) and IPMA for holistic findings.
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Sunday C. Eze, Vera C. Chinedu-Eze and Adenike O. Bello
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
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