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Article
Publication date: 10 April 2017

Surabhi 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…

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.

Details

Journal of Enterprise Information Management, vol. 30 no. 3
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 10 August 2018

Mohammad Kamel Daradkeh

Visual analytics is increasingly becoming a prominent technology for organizations seeking to gain knowledge and actionable insights from heterogeneous and big data to…

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 technologyorganizationenvironment 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.

Details

Information Technology & People, vol. 32 no. 3
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 28 April 2020

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…

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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Article
Publication date: 9 October 2017

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.

Details

Journal of Enterprise Information Management, vol. 30 no. 6
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 26 April 2019

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…

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.

Details

Journal of Science and Technology Policy Management, vol. 10 no. 3
Type: Research Article
ISSN: 2053-4620

Keywords

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Article
Publication date: 4 December 2020

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…

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 technologyorganizationenvironment 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.

Details

Journal of Science and Technology Policy Management, vol. 12 no. 1
Type: Research Article
ISSN: 2053-4620

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Article
Publication date: 26 April 2011

Liang‐Chieh (Victor) Cheng, Michael L. Gibson, Edward E. Carrillo and Grayson Fitch

This paper seeks to explore the necessity to incorporate technology as a key component in studying business operations of industrial entities.

Abstract

Purpose

This paper seeks to explore the necessity to incorporate technology as a key component in studying business operations of industrial entities.

Design/methodology/approach

Reviews of key management theories that shaped organization‐centric and process‐centric views in industrial management research are conducted. The paper then identifies the limitations of these two schools of thinking and develops a technology‐centric framework that integrates technology, organization, and process in general. A series of case studies that apply the framework at multiple levels of observations are presented. The research concludes with theoretical and managerial implications.

Findings

This paper presents a “trinity” framework that includes three core constructs that can simultaneously develop into variants. Technology as a holistic concept must be taken into consideration when researchers or practitioners take a dynamic view to study business entities. A multi‐dimensional, technology‐centric framework acknowledges technology as the transformational resource and helps the practitioners and researchers to examine technology as potential facilitators for organizational operations.

Originality/value

A review of the cases found that technology, organizational structures, and business processes impact one another. Firms' actions are indicative that in today's technology‐intensive environment, organizational structures and business processes need to be developed or modified in coordination with technological development. In doing so, organizations will gain the potential to harvest benefits from technologyorganization‐process integration.

Details

Industrial Management & Data Systems, vol. 111 no. 4
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 30 June 2020

Feria Wirba Singeh, A. Abrizah and K. Kiran

The purpose of this paper is to describe a new benchmarking framework on the factors that influence digital library (DL) adoption by aligning them with the constructs of…

Abstract

Purpose

The purpose of this paper is to describe a new benchmarking framework on the factors that influence digital library (DL) adoption by aligning them with the constructs of DL models to establish the likely critical success factors (CSFs) for DL implementation.

Design/methodology/approach

Concept mapping is used to illustrate the relationship between the information systems success model and DL frameworks. Technology organisation and environment (TOE) framework was chosen as the central theme and was mapped with the three DL frameworks reviewed (5S framework; the Zachman Framework for Enterprise Architecture and the DELOS DL reference model) to come up with the likely success dimensions for DLs. A set of possible success factors was assembled from the literature on previous studies relating to factors that are critical to the success of information systems and DLs. The description of each DL potential success factors was finally developed as an item statement with verification from the literature review.

Findings

A total of 53 success factors items were assembled from literature represented by the final ten constructs of the CSFs; 16 items characterise DL technology, 13 items denote DL organisation and 24 items symbolise DL environment. Findings show that these factors may be good determinants for an effective implementation of DLs.

Research limitations/implications

The outcome can positively influence the implementation of DLs worldwide.

Originality/value

This is the first study in library science that incorporates TOE with DL frameworks to come up with the success factors of DL implementation.

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Article
Publication date: 20 September 2018

Diana Cordes Feibert and Peter Jacobsen

The purpose of this paper is to refine and expand technology adoption theory for a healthcare logistics setting by combining the technologyorganizationenvironment

Abstract

Purpose

The purpose of this paper is to refine and expand technology adoption theory for a healthcare logistics setting by combining the technologyorganizationenvironment framework with a business process management (BPM) perspective. The paper identifies and ranks factors impacting the decision to implement instances of technologies in healthcare logistics processes.

Design/methodology/approach

A multiple case study is carried out at five Danish hospitals to investigate the bed logistics process. A combined technology adoption and BPM lens is applied to gain an understanding of the reasoning behind technology adoption.

Findings

A set of 17 factors impacting the adoption of technologies within healthcare logistics was identified. The impact factors perceived as most important to the adoption of technologies in healthcare logistics processes relate to quality, employee work conditions and employee engagement.

Research limitations/implications

This paper seeks to understand how managers can use knowledge about impact factors to improve processes through technology adoption. The findings of this study provide insights about the factors impacting the adoption of technologies in healthcare logistics processes. Differences in perceived importance of factors enable ranking of impact factors, and prioritization of changes to be implemented. The study is limited to five hospitals, but is expected to be representative of public hospitals in developed countries and applicable to similar processes.

Originality/value

The study contributes to the empirical research within the field of BPM and technology adoption in healthcare. Furthermore, the findings of this study enable managers to make an informed decision about technology adoption within a healthcare logistics setting.

Details

The International Journal of Logistics Management, vol. 30 no. 1
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 14 June 2019

Sunday C. Eze, Sulaimon Olatunji, Vera Chinwendu Chinedu-Eze, Adenike O. Bello, Adebanji Ayeni and Fred Peter

Most studies in information behaviour have focussed on information behaviour aspects such as environmental uncertainty, scanning behaviour of top management executives…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

The Bottom Line, vol. 32 no. 2
Type: Research Article
ISSN: 0888-045X

Keywords

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