scholarly journals Tourism statistics, indicators and big data: a perspective article

2019 ◽  
Vol 75 (1) ◽  
pp. 304-309 ◽  
Author(s):  
Serena Volo
Keyword(s):  
Big Data ◽  
Design Methodology ◽  
Integrated System ◽  
Future Perspective ◽  
Technological Changes ◽  
Industry Data ◽  
Content Type ◽  
Data Statistics ◽  
Practical Implications ◽  
Collection Methods

Purpose This paper aims to discuss the evolution of tourism data and critically debates future perspective for producers and users of tourism data. Design/methodology/approach This paper provides a perspective on tourism data based on selected literature. Findings Industry developments, technological changes and novel methodologies have influenced tourism data sources. Closer attention to new data collection methods and novel analytics is required. Research limitations/implications A considerate and integrated system of tourism data (statistics, indicators, and big data) shall remain a priority for scholars and practitioners alike. Practical implications The thoughtful merging of tourists’ digital traces with industry data, the competences of data analysts and the theoretical strengths of tourism scholars will result in a redesign of the tourism data landscape. Social implications This perspective article provides a brief overview of the development and challenges related to the future use of tourism statistics, indicators and big data. Originality/value The paper offers a novel vision of tourism data by combining three different but complementary aspects of tourism data.

Fraud and counterfeit wines in France: an overview and perspectives

2017 ◽  
Vol 119 (1) ◽  
pp. 84-104 ◽  
Author(s):  
Benoit Lecat ◽  
Joelle Brouard ◽  
Claude Chapuis
Keyword(s):  
Media Coverage ◽  
Design Methodology ◽  
Modern Technology ◽  
Wine Industry ◽  
Technological Changes ◽  
Content Type ◽  
New Type ◽  
Technical Solutions ◽  
Official Data ◽  
Practical Implications

Purpose The purpose of this paper is to analyze the specificities of wine forgery today and to show the perspectives offered to the different stakeholders in the wine industry. Design/methodology/approach Owing to the technical aspects of this paper, a literature review based on academic papers (history) and articles coming from the professional press, internet websites and public organizations was made. Findings It was found that frauds have always existed. Forgers are constantly in search of new ways of counterfeiting wines. Producers have had to adapt to the various forms of counterfeiting, mainly by resorting to modern technology. As the traceability of great wines is becoming crucial, a new type of relationships between producers anxious to offer genuine estate wines and consumers anxious to drink the bottles they ordered has developed. This new constraint became a marketing opportunity for producers. Research limitations/implications It was difficult to obtain official data (interviews or surveys) because of the sensitiveness of the topic. Practical implications This paper, which offers an inventory of the methods used by forgers to deceive customers, makes both producers and consumers aware of the extent of the problem. The counterfeiting phenomenon is dangerous for producers’ image and the technological changes are a tool allowing producers to protect their wine and reinforce their relationships with consumers. Originality/value This paper gives an overview of forgers’ ploys in France. It opens a discussion about perspectives for the different stakeholders while most of the research tends to focus on technical solutions and the analysis of specific affairs which received media coverage.

An application of 5S concept to organize the workplace at a scientific instruments manufacturing company

2015 ◽  
Vol 6 (1) ◽  
pp. 73-88 ◽  
Author(s):  
Shaman Gupta ◽  
Sanjiv Kumar Jain
Keyword(s):  
Design Methodology ◽  
Shop Floor ◽  
Small Scale ◽  
Content Type ◽  
Audit Score ◽  
Manufacturing Organization ◽  
Practical Implications ◽  
Cause And Effect Diagram ◽  
Collection Methods

Purpose – The purpose of this paper is to use the 5S tool to assist a small-scale manufacturing organization to become more productive and more efficient. Design/methodology/approach – A simple approach has been adopted to create the teams for implementing 5S. Cause-and-effect diagram has been studied for shop floor analysis. Later, four data collection methods have been used to ensure right implementation of the 5S. Findings – In the frames of this case study, it has been analyzed that implementation of “5S” resulted in overall improvement of the organization. With the implementation of “5S”, major benefits in the form of tool searching time have been achieved. Tool searching time from shop floor has been reduced from 30 minutes to 5 minutes. “5S” audit has been conducted in the organization. “5S” audit score has been increased from 7 (Week 1) to 55 (Week 20). Practical implications – 5S is a powerful tool and can be implemented in various industries whether micro, small, medium or large. Implementation of 5S has large horizontal development and can be implemented in all the workstations of an organization. Originality/value – The publications and case study presented in this paper will be useful to researchers, professionals and others concerned with this subject to understand the significance of 5S.

Advertising change

2019 ◽  
Vol 35 (7) ◽  
pp. 37-39
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Cutting Edge ◽  
Content Type ◽  
Pertinent Information ◽  
Digital Disruption ◽  
Account Planning ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Digital disruption, such as the prevalence of Big Data and technological progression, has fundamentally altered the advertising marketplace. Account planning is a role within advertising that is seeing significant challenges and may no longer be necessary. Originality/value The briefing saves busy executives, strategists, and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

A knowledge management super-strategy fueled by big data

2019 ◽  
Vol 35 (1) ◽  
pp. 22-23
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Intellectual Capital ◽  
Management Strategy ◽  
Design Methodology ◽  
Business Value ◽  
Content Type ◽  
Pertinent Information ◽  
Conceptual Paper ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings This conceptual paper proposes a model for growing company competitive advantage into the future by integrating a knowledge management strategy with progressive insights from Big Data and artificial intelligence. The ultimate strategic aim here is to create and codify intellectual capital that adds business value. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Integrating Big Data in “e-Oman”: opportunities and challenges

Info ◽  
2016 ◽  
Vol 18 (5) ◽  
pp. 79-97 ◽  
Author(s):  
Stuti Saxena ◽  
Sujeet Kumar Sharma
Keyword(s):  
Big Data ◽  
Real Time ◽  
Design Methodology ◽  
Public Services ◽  
Content Type ◽  
Challenges And Opportunities ◽  
The Government ◽  
Time Basis ◽  
Privacy And Confidentiality ◽  
Practical Implications

Purpose This paper aims to integrate Big Data in e-government in Oman, also known as “e-Oman”, wherein Big Data might be better harnessed to tackle real-time challenges. Design/methodology/approach Besides a description of the concepts of e-government and Big Data in general, the paper underscores the dimensions of “e-Oman”. Following a qualitative approach, the paper asserts how integration of Big Data in “e-Oman” may be useful by invoking examples from four short case studies across different sectors. Findings The paper supports the integration of “e-Oman” and Big Data wherein besides providing smooth public services, the government is encouraged to forge inter- and intra-ministerial collaboration and public-private partnership. The paper probes through the challenges and opportunities in effecting this integration. Practical implications The paper provides a platform for the policymakers to conceive of a synchronized programme for integrating “e-Oman” and the Big Data generated by it. This integration would go a long way in building upon the economy of Oman, besides providing better public services to the individuals and businesses on a real-time basis. Social implications The paper does throw light on the issues of privacy and confidentiality of data available with the government. There are challenges of cybercrime as well. Therefore, the paper posits that a robust fool-proof infrastructure should be instituted by the government for effecting integration of e-government and Big Data. Originality/value This paper seeks to fill the gap in extant literature which remains scant on the integration of e-government with Big Data. This is especially true in the case of Oman where not a single study has been presented to probe this issue. Given that “e-Oman” is expanding its scope over the years, this paper foresees the concomitant opportunities and challenges in the integration of Big Data in “e-Oman”.

Examining the adoption of big data and analytics curriculum

2017 ◽  
Vol 23 (3) ◽  
pp. 506-517 ◽  
Author(s):  
Alexander J. McLeod ◽  
Michael Bliemel ◽  
Nancy Jones
Keyword(s):  
Big Data ◽  
Design Methodology ◽  
Academic Research ◽  
Software Support ◽  
Content Type ◽  
Software Vendor ◽  
Development Agenda ◽  
Practical Information ◽  
Information Materials ◽  
Practical Implications

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. Design/methodology/approach In this work, the authors reviewed recent academic utilization of big data and analytics curriculum in a large faculty-driven university program by examining school hosting request logs over a four-year period. The authors analyze curricula usage to determine how changes in big data and analytics are being introduced to academia. Findings Results indicate that there is a substantial shift toward curriculum focusing on big data and analytics. Research limitations/implications Because this research only considered data from one proprietary software vendor, the scope of this project is limited and may not generalize to other university software support programs. Practical implications Faculty interested in creating or furthering their business process programs to include big data and analytics will find practical information, materials, suggestions, as well as a research and curriculum development agenda. Originality/value Faculty interested in creating or furthering their programs to include big data and analytics will find practical information, materials, suggestions, and a research and curricula agenda.

Toward an inclusive understanding of technology intelligence: a literature review

foresight ◽  
2015 ◽  
Vol 17 (3) ◽  
pp. 240-256 ◽  
Author(s):  
Mostafa Safdari Ranjbar ◽  
Gholam Reza Tavakoli
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Selection Criteria ◽  
Design Methodology ◽  
Google Scholar ◽  
Technological Changes ◽  
Content Type ◽  
Technology Intelligence ◽  
Planning Processes ◽  
Practical Implications

Purpose – The aim of this paper is to promote the authors' understanding of technology intelligence by responding to two questions: What is technology intelligence? How is it accomplished? Design/methodology/approach – To respond to the two main questions about technology intelligence in this paper, the authors have studied relevant academic, peer-reviewed journals and books using the literature databases of Google Scholar, Sciencedirect, Inderscience, Wiley and Emerald Insight. They have used few selection criteria to choose papers and books for inclusion in their study. Findings – Enhancing the authors' understanding of the technology intelligence concept by responding to the two main questions (What is technology intelligence? How is it accomplished?), classifying the main studies in the field of technology intelligence and several practical and theoretical implications are the findings in this paper. Practical implications – A number of practical implications related to technology intelligence structure, process, methods, tools and players are suggested to managers of organizations and companies to improve their technology-related planning processes and decision-making. Originality/value – Despite the considerable level of consensus on the necessity of precise scanning and monitoring technological changes and trends, there is still limited understanding of the technology intelligence concept. This paper intends to enhance the authors' understanding of technology intelligence by responding to two questions: What is technology intelligence? And how is it accomplished?

The Big Data bandwagon

2020 ◽  
Vol 36 (10) ◽  
pp. 13-14
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Cutting Edge ◽  
Content Type ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Big Data is supremely powerful, and able to add huge potential to any organization that uses it. But is Big Data too big for its own boots? Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The big data boost

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Big Data ◽  
Competitive Advantage ◽  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Specific Data ◽  
Content Type ◽  
Bulk Data ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Organizations of all sizes are looking to big data to boost competitive advantage and create sustained growth. Yet bulk data is not typically enough on its own, and proprietary applications and organizationally-specific data is required. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

A modified BLISCO method and its combination with variable fidelity metamodel for engineering design

2016 ◽  
Vol 33 (5) ◽  
pp. 1353-1377 ◽  
Author(s):  
Ping Jiang ◽  
Qi Zhou ◽  
Xinyu Shao ◽  
Ren Long ◽  
Hui Zhou
Keyword(s):  
Multidisciplinary Design Optimization ◽  
Design Methodology ◽  
Mathematical Problem ◽  
Integrated System ◽  
Collaborative Optimization ◽  
Efficient Design ◽  
Content Type ◽  
Computational Costs ◽  
Variable Fidelity ◽  
Practical Implications

Purpose – The purpose of this paper is to present a modified bi-level integrated system collaborative optimization (BLISCO) to avoid the non-separability of the original BLISCO. Besides, to mitigate the computational burden caused by expensive simulation codes and employ both efficiently simplified and expensively detailed information in multidisciplinary design optimization (MDO), an effective framework combining variable fidelity metamodels (VFM) and modified BLISCO (MBLISCO) (VFM-MBLISCO) is proposed. Design/methodology/approach – The concept of the quasi-separable MDO problems is introduced to limit range of applicability about the BLISCO method and then based on the quasi-separable MDO form, the modification of BLISCO method without any derivatives is presented to solve the problems of BLISCO. Besides, an effective framework combining VFM-MBLISCO is presented. Findings – One mathematical problem conforms to the quasi-separable MDO form is tested and the overall results illustrate the feasibility and robustness of the MBLISCO. The design of a Small Waterplane Area Twin Hull catamaran demonstrates that the proposed VFM-MBLISCO framework is a feasible and efficient design methodology in support of design of engineering products. Practical implications – The proposed approach exhibits great capability for MDO problems with tremendous computational costs. Originality/value – A MBLISCO is proposed which can avoid the non-separability of the original BLISCO and an effective framework combining VFM-MBLISCO is presented to efficiently integrate the different fidelities information in MDO.

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