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The Current State of Big Data Research in Tourism : Results of a Systematic Literature Analysis

Hartmann, Kim; Lederer, Matthias - In: Zeitschrift für Tourismuswissenschaft 13 (2021) 2, pp. 209-226

Abstract The use of large and diverse data in real time (called Big Data) affects many business processes and models. The tourism industry, characterized by manifold sub-sectors and players, provides a variety of starting points for Big Data usage. Examples are the optimization of transport...

Persistent link: https://www.econbiz.de/10014624569

Big Data and corporate reporting: impacts and paradoxes

Al-Htaybat, Khaldoon; von Alberti-Alhtaybat, Larissa - In: Accounting, Auditing & Accountability Journal 30 (2017) 4, pp. 850-873

Purpose The purpose of this paper is to investigate the phenomenon of Big Data and corporate reporting, and to determine the impact of Big Data and the current Big Data state of mind with regard to corporate reporting, what accountant and non-accountant participants’ perceptions are of the...

Persistent link: https://www.econbiz.de/10014642401

Big data and Ag-Analytics : An open source, open data platform for agricultural & environmental finance, insurance, and risk

Woodard, Joshua - In: Agricultural Finance Review 76 (2016) 1, pp. 15-26

Purpose – The purpose of this paper is to provide a brief and necessarily partial overview of the design, motivation, and use of the Ag-Analytics platform (ag-analytics.org), focussing on integration and warehousing of publicly available research data for broad communities of researchers,...

Persistent link: https://www.econbiz.de/10014667377

Big data in the Danish industry: application and value creation

Müller, Sune Dueholm; Jensen, Preben - In: Business Process Management Journal 23 (2017) 3, pp. 645-670

Purpose The development within storage and processing technologies combined with the growing collection of data has created opportunities for companies to create value through the application of big data. The purpose of this paper is to focus on how small and medium-sized companies in Denmark...

Persistent link: https://www.econbiz.de/10014688132

Automated competitor analysis using big data analytics : Evidence from the fitness mobile app business

Guo, Liang; Sharma, Ruchi; Yin, Lei; Lu, Ruodan; Rong, Ke - In: Business Process Management Journal 23 (2017) 3, pp. 735-762

Purpose Competitor analysis is a key component in operations management. Most business decisions are rooted in the analysis of rival products inferred from market structure. Relative to more traditional competitor analysis methods, the purpose of this paper is to provide operations managers with...

Persistent link: https://www.econbiz.de/10014688373

Let’s stop trying to be “sexy” – preparing managers for the (big) data-driven business era

Carillo, Kevin - In: Business Process Management Journal 23 (2017) 3, pp. 598-622

Purpose The purpose of this paper is to analyze the inadequacies of current business education in the tackling of the educational challenges inherent to the advent of a data-driven business world. It presents an analysis of the implications of digitization and more specifically big data...

Persistent link: https://www.econbiz.de/10014688640

A bibliographic study on big data: concepts, trends and challenges

Mishra, Deepa; Luo, Zongwei; Jiang, Shan; Papadopoulos, … - In: Business Process Management Journal 23 (2017) 3, pp. 555-573

Purpose The purpose of paper is twofold. First, it provides a consolidated overview of the existing literature on “big data” and second, it presents the current trends and opens up various future directions for researchers who wish to explore and contribute in this rapidly evolving field....

Persistent link: https://www.econbiz.de/10014688682

A big data framework for facilitating product innovation processes

Zhan, Yuanzhu; Tan, Kim Hua; Ji, Guojun; Chung, Leanne; … - In: Business Process Management Journal 23 (2017) 3, pp. 518-536

Purpose The purpose of this paper is to suggest how firms could use big data to facilitate product innovation processes … organisations to integrate big data in accelerating their product innovation processes. The proposed factors are further examined … reduce lead times and costs in product innovation processes. Findings The three determined key success factors are …

Persistent link: https://www.econbiz.de/10014688755

Examining the adoption of big data and analytics curriculum

McLeod, Alexander J.; Bliemel, Michael; Jones, Nancy - In: Business Process Management Journal 23 (2017) 3, pp. 506-517

Purpose The purpose of this paper is to explore the demand for big data and analytics curriculum, provide an overview of the curriculum available from the SAP University Alliances program, examine the evolving usage of such curriculum, and suggest an academic research agenda for this topic....

Persistent link: https://www.econbiz.de/10014688832

Chicken swarm foraging algorithm for big data classification using the deep belief network classifier

R, Sathyaraj; L, Ramanathan; K, Lavanya; V, Balasubramanian - In: Data Technologies and Applications 55 (2020) 3, pp. 332-352

Purpose The innovation in big data is increasing day by day in such a way that the conventional software tools face …

Persistent link: https://www.econbiz.de/10014712727