Influence of Big Data Capabilities in Knowledge Management—MSMEs

Jha, Ravi Shankar; Sahoo, Priti Ranjan

doi:10.1007/978-981-15-8289-9_50

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…The risk of theft of data may be reduced through cloud technology. Jha & Sahoo (2021) note that BDAC could help MSMEs not only retain their customers but also attract new customers by offering customized products.…”

Section: Introductionmentioning

confidence: 99%

Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19 – A multi-theoretical approach

Behl

Gaur

Pereira

et al. 2022

Journal of Business Research

109

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Section: Introductionmentioning

confidence: 99%

Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19 – A multi-theoretical approach

Behl

Gaur

Pereira

et al. 2022

Journal of Business Research

109

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“…Additionally, small ventures operate within industry and government-level contexts, which can influence their perception and use of information systems (Parker et al, 2015). Small businesses are fundamental pillars of large industries, as they spend time and effort exploring new and better ways of producing products and services, contributing significantly to the industrial development of countries (Jha & Sahoo, 2021;Philbin et al, 2022). Thus, an information system, as a logical structure, requires components such as planning.…”

Section: Sample and Datamentioning

confidence: 99%

“…External expertise, such as knowledge in information systems implementation, plays a crucial role in the success of small businesses (Apulu & Latham, 2009). Therefore, it is important for them to have well-defined and established know-how to manage their knowledge as a valuable asset (Jha & Sahoo, 2021;Upadhyay & Kundu, 2019).…”

Section: Configuration Analysismentioning

confidence: 99%

Knowledge management requirements for information systems in small ventures: A fuzzy-set qualitative comparative analysis (fsQCA)

Vargas-Zeledon

2023

Small Bus Int Rev

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Knowledge management and information systems have garnered increased attention for their potential to enhance venture performance. However, there is limited research on the specific competences of information systems based on knowledge management within the context of micro and small businesses. This study aims to fill this gap by examining small businesses in the entrepreneurship field to determine whether they recognize the importance of these competences. The research focuses on a sample of 70 small businesses operating in lower-middle-income economies and employs a fuzzy-set qualitative comparative analysis (fsQCA) methodology. The findings reveal that smaller businesses acknowledge the significance of information systems competences in facilitating their organizational development and that these ventures are increasingly exposed to the value of knowledge management in their day-to-day operations. This study contributes to the existing literature by shedding light on the role of smaller businesses in lower-middle-income economies.

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“…Bolade and Sindakis (2020) supported research on the paradigm (psycho-cognitive perspective) as the basis for the theorisation of knowledge creation; this focuses on the triad brain-intelligence rather than IT. Jha and Sahoo (2021) proposed to increase the efficiency of knowledge management through Big Data and IoT, as these help companies to create a more innovative environment.…”

Section: Knowledge Acquisition Process Within Sme´s As Limited Knowle...mentioning

confidence: 99%

Methodology for Selecting Optimal Knowledge Acquisition Through Analytic Hierarchy Process and Environment Parameters Impact.

Di Nardo,

Murino,

Adegbola

2023

JART

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In a global economy characterised by increasingly dynamic markets and technologies, the primary importance of intangible resources like knowledge is growing dramatically, especially for small and medium-sized enterprises (SME). Therefore, many companies are trying to support changes by configuring their production systems towards mass customisation. This evolving paradigm shift from mass production to mass customisation brings about complex product lifecycles that require continuous re-engineering/configuration of modern manufacturing systems. Rapid manufacturing companies' changes result in adjusting and updating the existing knowledge base to maintain their competitive advantage. Within companies, different tacit and explicit knowledge are available, relating to resources, processes and components. This data is usually not digitised, and therefore the main challenge for small and medium-sized enterprises is how to automate the knowledge acquisition process, choosing the best tools for knowledge preservation. Starting from the analysis of models presented in the literature, we defined a methodology to support selecting the optimal acquisition of knowledge and preservation in any phase of production systems. In an environment where business uncertainty is the norm, developing knowledge acquisition capabilities is increasingly important. The paper's main contribution is the AHP-PIE methodology, which provides a helpful guideline as a structured and logical means of ranking KA methods for evaluating appropriate tools for a small manufacturing industry organisation.

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Influence of Big Data Capabilities in Knowledge Management—MSMEs

Cited by 8 publications

References 12 publications

Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19 – A multi-theoretical approach

Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19 – A multi-theoretical approach

Knowledge management requirements for information systems in small ventures: A fuzzy-set qualitative comparative analysis (fsQCA)

Methodology for Selecting Optimal Knowledge Acquisition Through Analytic Hierarchy Process and Environment Parameters Impact.

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