Are enterprises ready for big data analytics? A survey-based approach

Brock, Vitor Fabian; Khan, Habib Ullah

doi:10.1504/ijbis.2017.10004408

Cited by 11 publications

(4 citation statements)

References 38 publications

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“…The IT infrastructure and human capital are both parts of the organization's technical capital skills [6]. This condition confirms that further studies are being carried out to examine the drivers behind the extremely complex adoption procedure in BDA [7]. Currently, researcher have given the BDA considerable attention.…”

Section: Introductionmentioning

confidence: 88%

“…BDA is focussed on the aspects of technology, organization, and the environment, and has positive impact on the business success [9]. However, theoretical framework has not been established which takes full account of all these prospects for implementing BDA and it is largely uncharted to predict the value of factors influencing the use of BDA [7]. Most studies have been conducted in the developed world on the use of BDA.…”

Section: Introductionmentioning

confidence: 99%

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The Adoption of Big Data Analytics Among Manufacturing Small and Medium Enterprises During Covid-19 Crisis in Malaysia

Loh¹,

Teoh²

2021

Advances in Economics, Business and Management Research

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Global epidemic Coronavirus Disease 2019 (COVID-19) has a significant impact on the global economy. The Big Data Analytics (BDA), which helps businesses to obtain useful insights, is seen as a new strategic weapon in industry particularly during this challenging time. This study investigated the influence of technological factors on BDA adoption among Malaysian manufacturing Small and Medium Enterprises (SMEs). The data was collected from 185 manufacturing SMEs in Malaysia and analysed using SmartPLS version 3.3.2. This study uncovers significant technological factors that drive BDA adoption and highlight the role of technological resource competency as a mediator in this model. The findings contribute to the Malaysian SMEs to strategize BDA adoption in today's dynamic business environment, and can be a reference to ASEAN developing nations as well.

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Section: Introductionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

The Adoption of Big Data Analytics Among Manufacturing Small and Medium Enterprises During Covid-19 Crisis in Malaysia

Loh¹,

Teoh²

2021

Advances in Economics, Business and Management Research

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“…But, big data is not a single product rather a complex set of technologies and techniques for data gathering, data store, data processing, data access, data analytics and data visualisation. Each layer of the big data technology stack adds significant level of complexity that challenges organisational resources and capabilities (Khan, 2017). Big data is considered a strategic technology which is perceived as a source of competitive advantage for various businesses regardless of its industry by many researchers.…”

mentioning

confidence: 99%

“…Big data is considered a strategic technology which is perceived as a source of competitive advantage for various businesses regardless of its industry by many researchers. Big data empowers data analysts to make sense of exabyte's of diverse data sets and transforms them into useful information and new knowledge (Khan, 2017). The benefits of big data in the business environment are indeed numerous as this new technology allows high-performance analytics from multiple structures and non-structured sources.…”

mentioning

confidence: 99%

Big Data Adoption in Selected Companies of the Retail Sector in the Republic of Macedonia

Jovevski¹,

Mijoska²,

Blagoeva³

2018

KIJ

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In a highly digitalized world, big data and analytics are among major trends companies worldwide are facing. As companies generate data across different sources (information systems), which is increasing rapidly in volume, variety and velocity, big data analytics becomes essential. Big data is a term that describes the large volume of data (both structured and unstructured), that overwhelms a business on a day-to-day basis. But the importance of big data doesn't revolve around how much data one organization has, but what organizations do with the data that matters. Big data and analytics, provide organizations with the opportunity to analyze data generated from any source and to find answers that enable cost reductions, time reductions, new product development and optimized offerings, and smart decision making. Big data is affecting companies from different size and in almost every industry, and has the potential not only to transform the business world, but the society as well at large extent. Emerging literature and the empirical evidence suggest that companies from the retail sector can gain competitive advantage from data if they adopt big data analytics technologies. In spite of that, companies in the country are still in the early stages of adoption of big data analytics technologies. Hence, the goal of this paper is to determine factors affecting the big data analytics adoption in selected companies in the Republic of Macedonia from the retail sector. This is a pilot study and as such represents the first attempt to assess the level of big data analytics adoption in the country. This small scale preliminary study will provide evaluation of the feasibility of the key steps of the proposed research model (methodology) in order to conduct future research in larger extent and sample. There have been several theoretical models that explain technology acceptance. The research model in this study is based on Technology-Organization-Environment (TOE) framework (Tornatzky & Fleischer, 1990). The TOE framework explains that adoption of technological innovations is influenced by a range of factors in the context of the technology, organization and external environment. The framework explains that these three factors stimulate and influence the technology innovation adoption-decision in companies. It is considered as multi-perspective framework and an integrative model that is developed for studying factors affecting adoption of innovative technologies and has been used to assess organizations' adoption of big data analytics technologies mostly in telecommunications, e-commerce and other. The proposed research model specifies the following technological characteristics (technical capacity, relative advantage and complexity), intra-organizational factors (top management support, organizational culture, organizational size and IT expertise/ technological competence), and inter-organizational factors (competitive pressure, external support, and regulatory /government policy as well as data security and privacy) as determ...

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A Preliminary Analysis of the Adoption of Intelligent Information Systems in Colombia

Abadía,

Avila

2024

Enterprise Information Systems

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Are enterprises ready for big data analytics? A survey-based approach

Cited by 11 publications

References 38 publications

The Adoption of Big Data Analytics Among Manufacturing Small and Medium Enterprises During Covid-19 Crisis in Malaysia

The Adoption of Big Data Analytics Among Manufacturing Small and Medium Enterprises During Covid-19 Crisis in Malaysia

Big Data Adoption in Selected Companies of the Retail Sector in the Republic of Macedonia

A Preliminary Analysis of the Adoption of Intelligent Information Systems in Colombia

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