Big data and dynamic capabilities: a bibliometric analysis and systematic literature review

Rialti, Riccardo; Marzi, Giacomo; Ciappei, Cristiano; Busso, Donatella

doi:10.1108/md-07-2018-0821

Cited by 210 publications

(200 citation statements)

References 76 publications

(129 reference statements)

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“…Based on the result obtained from current systematic research work, this study recommends that future scholars conduct more systematic and empirical studies on the use of big data analytics in diverse types and sizes of companies to explore what other factors may help an organization to amplify the adoption of big data analytics for improvement of their performance. Future scholars may expand the domain of search of big data analytics and business analytics in the area of business and management to capture more studies including those missing in WoS Core Collection as other research works have not appeared in our search result but deserve to be reviewed systematically (for example, Refs [7,8,70,76,[78][79][80]).…”

Section: Discussion Future Research Directions and Conclusionmentioning

confidence: 99%

Big Data Analytics and Firm Performance: A Systematic Review

et al. 2019

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The literature on big data analytics and firm performance is still fragmented and lacking in attempts to integrate the current studies’ results. This study aims to provide a systematic review of contributions related to big data analytics and firm performance. The authors assess papers listed in the Web of Science index. This study identifies the factors that may influence the adoption of big data analytics in various parts of an organization and categorizes the diverse types of performance that big data analytics can address. Directions for future research are developed from the results. This systematic review proposes to create avenues for both conceptual and empirical research streams by emphasizing the importance of big data analytics in improving firm performance. In addition, this review offers both scholars and practitioners an increased understanding of the link between big data analytics and firm performance.

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Section: Discussion Future Research Directions and Conclusionmentioning

confidence: 99%

Big Data Analytics and Firm Performance: A Systematic Review

et al. 2019

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“…Buckner (1993) stated that Japanese managers increasingly place a high priority on synergizing both human resource development and information technology using Artificial Intelligence techniques. But in a condition, AI requires the role of big data to make decisions even though it returns to managers in formulating new strategies (Rialti, Marzi, Ciappei, & Busso, 2019).…”

Section: Discussionmentioning

confidence: 99%

An Integrated Artificial Intelligence and Resource Base View Model for Creating Competitive Advantage

Ristyawan

2020

J. Bus. Econ. Review

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Objective – The performance of MSMEs (Micro, Small, and Medium Enterprises) is one of the main indicators to increase Indonesia's economic growth. The contribution of Indonesia's MSMEs is low in the global market and the lowest in ASEAN. One of the ways to increase the contribution is to create the value of competitiveness product. Management of resources is needed to provide high-quality products and competitive advantage of the company. This study aims to examine the combination of resources of the company through the Resource Base-View (RBV) approach. Methodology/Technique – A mix research method was employed, utilizing multiple criteria decision making as the analysis method and the Analytical Hierarchy process (AHP) as the instrument tool of the analysis. The respondents were 100 MSMEs in Pontianak. Findings – The criteria were determined by RBV Concept and the characteristic of company resources. The combination was the sequence level of the weight of the resources. The study also formulated the integration of the Artificial Intelligence and RBV model. The results of the study indicated that human resource is as the highest priority of company attention and the following sequences are marketing and distribution, finance and funding, operational and production, and the internet usage and technology. Novelty – The study also resulted in the creation of the RBV-AI Framework model to obtain strategic resources maintaining the competitive advantage of the company. Type of Paper: Empirical. Keywords: Artificial Intelligence (AI), Resource Base-View (RBV), MSMEs. Reference to this paper should be made as follows: Ristyawan; M.R. 2020. An Integrated Artificial Intelligence and Resource Base View Model for Creating Competitive Advantage, J. Bus. Econ. Review, 5(1) 28– 37 https://doi.org/10.35609/jber.2020.5.1(4) JEL Classification: M15, O32

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“…Dynamic capability is defined as the ability of an organization to adapt its changing environment by reconfiguring internal and external processes and resources with existing competencies (Eisenhardt & Martin, 2000;Gaur et al, 2014). The use of dynamic capability theory will enable a researcher to dismantle big data to analyze it and disseminate it to everyone in the organization (Rialti et al, 2019).…”

Section: Dynamic Capabilitiesmentioning

confidence: 99%

“…Dynamic capabilities represent a suitable approach for studying the effects of information systems or their specific abilities on organizations (Rialti et al, 2019;Contractor et al 2016). Utilization of the system is able to analyze big data and can be used to solve various problems related to data (Wamba & Mishra, 2017).…”

mentioning

confidence: 99%

Dynamic Capabilities for SME’s: Ready to Change and Cloud Service Role Toward Digital Business

Suhendi¹,

Nugroho²,

Yahya³

et al. 2020

Proceedings of the 17 Th International Symposium on Management (INSYMA 2020)

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The digital age is an exciting era for technology and business. In this era, all business sectors change from manual to digitalization in their operations, including the Small Medium Enterprises (SMEs). Digitalization is required to survive and sustainable competitive advantages. The biggest challenge being faced by SMEs is how to increase the accessibility of SMEs to go digital and improve the capabilities of SMEs, so their products can compete with foreign products. In Indonesia, some SME players already applied digital business for selling their products. Some of the players have their own startup, website, or application. Meanwhile, some of them rely on social media, either Facebook, Instagram, Twitter, WhatsApp, or LinkedIn. Some SME players in Indonesia have skills in technology; unfortunately, they use the computer only as a business tool, not as communication or marketing medium. Digital business application in Indonesia is shown by The global innovation Index 2017, whereby Indonesia was ranked 87th out of 127 countries in digital innovation. The digital innovation here includes digital advertising and communication by the SME players.

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Big data and dynamic capabilities: a bibliometric analysis and systematic literature review

Cited by 210 publications

References 76 publications

Big Data Analytics and Firm Performance: A Systematic Review

Big Data Analytics and Firm Performance: A Systematic Review

An Integrated Artificial Intelligence and Resource Base View Model for Creating Competitive Advantage

Dynamic Capabilities for SME’s: Ready to Change and Cloud Service Role Toward Digital Business

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