How big data innovates an organisation's business model: a systematic literature review

2022 ◽  
Vol 6 (1) ◽  
pp. 43
Author(s):  
Emilia Romeo ◽  
Nicola Capolupo
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Saurabh Agrawal ◽  
Abhishek Sahu ◽  
Yigit Kazancoglu

PurposeThe proposed article is aimed at exploring the opportunities, challenges and possible outcomes of incorporating big data analytics (BDA) into health-care sector. The purpose of this study is to find the research gaps in the literature and to investigate the scope of incorporating new strategies in the health-care sector for increasing the efficiency of the system.Design/methodology/approachFora state-of-the-art literature review, a systematic literature review has been carried out to find out research gaps in the field of healthcare using big data (BD) applications. A detailed research methodology including material collection, descriptive analysis and categorization is utilized to carry out the literature review.FindingsBD analysis is rapidly being adopted in health-care sector for utilizing precious information available in terms of BD. However, it puts forth certain challenges that need to be focused upon. The article identifies and explains the challenges thoroughly.Research limitations/implicationsThe proposed study will provide useful guidance to the health-care sector professionals for managing health-care system. It will help academicians and physicians for evaluating, improving and benchmarking the health-care strategies through BDA in the health-care sector. One of the limitations of the study is that it is based on literature review and more in-depth studies may be carried out for the generalization of results.Originality/valueThere are certain effective tools available in the market today that are currently being used by both small and large businesses and corporations. One of them is BD, which may be very useful for health-care sector. A comprehensive literature review is carried out for research papers published between 1974 and 2021.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahriar Akter ◽  
Md Afnan Hossain ◽  
Qiang (Steven) Lu ◽  
S.M. Riad Shams

PurposeBig data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.Design/methodology/approachThe study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.FindingsThe findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.Research limitations/implicationsThe study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.Originality/valueThe study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.


2018 ◽  
Vol 47 (4) ◽  
pp. 308-314 ◽  
Author(s):  
Pia Ulvenblad ◽  
Henrik Barth ◽  
Jennie Cederholm* Björklund ◽  
Maya Hoveskog ◽  
Per-Ola Ulvenblad ◽  
...  

The importance of business model innovation (BMI) is widely recognized. BMI is especially important in the agri-food industry that faces enormous challenges as the demand for food increases worldwide. Much of the BMI research focuses on the technology and biomedical industries. Far less attention has been paid to the agri-food industry. This article is a systematic literature review of the BMI research in the agri-food industry. The article’s aim is to identify and categorize various barriers to BMI as described in the literature (in English) published in peer-reviewed journals between 1990 and 2014. The findings show a fairly even distribution among external and internal BMI barriers. Because the main barrier is the mind-set that is resistant to change, it is recommended the researchers and practitioners should focus more on the cognitive barriers to BMI in the agri-food industry.


2017 ◽  
Vol 10 (3) ◽  
pp. 342-359 ◽  
Author(s):  
Mokter Hossain

Purpose The purpose of this paper is to provide state-of-the-art knowledge about business model innovation (BMI) and suggest avenues for future research. Design/methodology/approach A systematic literature review approach was adopted with thematic analysis being conducted on 92 articles. Findings The body of knowledge for this concept is in its infancy and is highly fragmented. This study therefore attempts to consolidate this fragmented knowledge. It reveals dominant themes, establishes coherence, and identifies conflicting arguments in the current literature. It also points out gaps in the research and highlights new directions for research. Research limitations/implications This study analyzed articles that were found based on a systematic literature review approach. Practical implications This study identifies some fundamental issues that managers need to understand regarding BMI. Originality/value The main value of this study lies in its synthesis of the current knowledge of BMI.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gabriella Arcese ◽  
Marco Valeri ◽  
Stefano Poponi ◽  
Grazia Chiara Elmo

PurposeThe aim of this paper is to verify whether, in the tourism sector, the “family business model” is an important development opportunity and, in particular, if it is an innovation driver for this industry development. In the literature, there is no conclusive evidence of this for the tourism sector. In this context, the authors investigate personal and family needs and preferences alongside the relationship between family business model, growth and profit maximization and the development of tourism businesses through innovation drivers.Design/methodology/approachTo develop this topic, the authors conducted an extensive literature review considering the scientific papers published and contained mainly in database in the last 10 years (2010–2020) and focused the attention on the last five years. The authors ran content and structural analysis on the collected sources by main scientific databases (EBSCO, Scopus, Thomson Reuter, etc.). Based on a systematic literature review, the analysis was conducted using statistical criteria and bibliometric indicators. In detail, the authors used systematic literature review, bibliometric analysis and automatic text analysis (ATA) tools for identified lexicon analysis and strategic keywords and used statistical correlation to classify the different approaches in the literature and to outline the orientations of the various research groups.FindingsFrom this analysis, the correlation between tourism, hospitality, entrepreneurship, life cycle and innovation dynamics was analysed. Important research gaps are identified, and future research priorities are suggested. Implications for both family business and tourism theory are discussed.Originality/valueWhile the intersection between tourism management and family business model has been established in the literature, the number of related publications is still limited. Against this background, a literature review as a total analysis was an adequate and practicable research methodology. This paper proposes a comprehensive literature review and a reflection on the potential developments and applications for family business in the tourism sector. Authors also suggest several research directions that have not been adequately investigated yet. In particular, scholars do not seem to have caught all the implications of innovation adoption, especially for SMEs and family ownerships in tourism.


2019 ◽  
Vol 57 (8) ◽  
pp. 2052-2068 ◽  
Author(s):  
Riccardo Rialti ◽  
Giacomo Marzi ◽  
Cristiano Ciappei ◽  
Donatella Busso

Purpose Recently, several manuscripts about the effects of big data on organizations used dynamic capabilities as their main theoretical approach. However, these manuscripts still lack systematization. Consequently, the purpose of this paper is to systematize the literature on big data and dynamic capabilities. Design/methodology/approach A bibliometric analysis was performed on 170 manuscripts extracted from the Clarivate Analytics Web of Science Core Collection database. The bibliometric analysis was integrated with a literature review. Findings The bibliometric analysis revealed four clusters of papers on big data and dynamic capabilities: big data and supply chain management, knowledge management, decision making, business process management and big data analytics. The systematic literature review helped to clarify each clusters’ content. Originality/value To the authors’ best knowledge, minimal attention has been paid to systematizing the literature on big data and dynamic capabilities.


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