scholarly journals Open Innovation and Social Big Data for Sustainability: Evidence from the Tourism Industry

2018 ◽  
Vol 10 (9) ◽  
pp. 3215 ◽  
Author(s):  
Pasquale Del Vecchio ◽  
Gioconda Mele ◽  
Valentina Ndou ◽  
Giustina Secundo
Keyword(s):  
Big Data ◽  
Open Innovation ◽  
Tourism Industry ◽  
Longitudinal Case Study ◽  
Huge Amount ◽  
Knowledge Assets ◽  
Social Big Data ◽  
Tourism Experience ◽  
Innovation Processes

This paper aims to contribute to the debate on Open Innovation in the age of Big Data by shedding new light on the role that social networks can play as enabling platforms for tourists’ involvement and sources for the creation and management of valuable knowledge assets. The huge amount of data generated on social media by tourists related to their travel experiences can be a valid source of open innovation. To achieve this aim, this paper presents evidence of a digital tourism experience, through a longitudinal case study of a destination in Apulia, a Southern European region. The findings of the study demonstrate how social Big Data could open up innovation processes that could be of support in defining sustainable tourism experiences in a destination.

Absorbing in-bound knowledge within open innovation processes. The case of Fiat Chrysler Automobiles

2019 ◽  
Vol 23 (4) ◽  
pp. 786-807 ◽  
Author(s):  
Diego Matricano ◽  
Elena Candelo ◽  
Mario Sorrentino ◽  
Aurora Martínez-Martínez
Keyword(s):  
Absorptive Capacity ◽  
Open Innovation ◽  
Design Methodology ◽  
Single Case ◽  
Single Case Study ◽  
Longitudinal Case Study ◽  
Content Type ◽  
Top Managers ◽  
Innovation Processes

Purpose The purpose of this paper is to investigate the way companies involved in Open Innovation Processes (OIPs) routinize the procedure through which they can absorb in-bound knowledge, i.e. knowledge that comes from the outside and, in particular, from the crowd. In-bound knowledge passes through the phases of acquisition, assimilation, transformation and exploitation. Thus, companies need to define mechanisms and paths – related to their potential and realized absorptive capacity –to manage and exploit it. Design/methodology/approach The present paper is based on a longitudinal case study, an OIP launched by Fiat Chrysler Automobiles (FCA) that has already been implemented for three times. Multiple direct interviews with FCA top managers have allowed rebuilding the routinized procedure through which the company absorbs in-bound knowledge. Findings To routinize the procedure of absorbing in-bound knowledge, the company has settled specific mechanisms and paths and has established some bottlenecks over the process of acquisition, assimilation, transformation and exploitation of in-bound knowledge. These mechanisms and path, as well as these bottlenecks, are identified and descripted in the paper. Research limitations/implications Beyond the limitations linked to the use of a single case study, another limitation might be the reference to a big company in a specific industry. Anyway, with due caution, achieved findings can be referred to other industries as well. Originality/value This paper contributes to exploring if and how companies managing OIPs routinize the procedure through which they can absorb in-bound knowledge.

The combination of different open innovations: a longitudinal case study

2019 ◽  
Vol 13 (2) ◽  
pp. 342-362
Author(s):  
Xiaodong Yuan ◽  
Xiaotao Li
Keyword(s):  
New Product Development ◽  
Open Innovation ◽  
Point Of View ◽  
Longitudinal Case Study ◽  
Key Factors ◽  
Content Type ◽  
Strategic Direction ◽  
Different Types ◽  
Innovation Capacity

Purpose The purpose of this paper is to explore how an organization can combine different types of open innovations and what are the key factors that may influence the combination of different open innovations. Design/methodology/approach The basic methodology of this paper is the longitudinal inductive analysis within the conceptual framework of the open innovation proposed by Dahlander and Gann (2010). In this case study of Xiaomi Tech Inc., the open innovation combination is investigated through examining 25 new products created between August 2010 and December 2016 in terms of four general types: acquiring, sourcing, selling and revealing open innovation. Findings In practice, the combination of different types of open innovations can be realized. A firm may combine different open innovations at three levels: a single product level, a related product cluster level and a company level. In addition, different open innovations can be combined in diverse modes. The purpose of combining different types of open innovations is to overcome the disadvantages of each type and to exploit the advantages of all different types. Many factors may affect a firm’s option of how to combine open innovations. At different development stages, a firm may make and implement corresponding strategic direction based on its innovation capacity and internal resource. For a given strategy, the firm needs to create profits and manage intellectual property in the implementation of open innovations. These factors are interacted each other, rather than isolated. Originality/value The findings of this paper are helpful for better understanding how and why an organization can combine different types of open innovations. From a managerial point of view, an organization may combine different types of open innovations to leverage advantages and avoid disadvantages of each certain type of open innovation. An appropriate combination of different open innovations can effectively improve new product development.

The Customer as a Source of Open Innovation in the Tourism Sector

2019 ◽  
pp. 158-178
Author(s):  
Patricia P. Iglesias-Sánchez ◽  
Marisol B. Correia ◽  
Carmen Jambrino-Maldonado
Keyword(s):  
Social Media ◽  
Open Innovation ◽  
Tourism Industry ◽  
Innovation Implementation ◽  
New Paradigm ◽  
Customer Involvement ◽  
Tourism Sector ◽  
Strategic Support ◽  
Innovation Processes ◽  
Practical Implications

This chapter analyzes the implementation of open innovation supported by social media, aiming to make it more effective in the tourism sector. Regression analysis is used to verify the relationships between competitive environment, research and development (R&D)/innovation level, external openness, and open innovation implementation using a sample of 135 tourism companies in the south of Spain and Portugal. The potential of social media as an instrument for customer involvement in innovation processes is verified, as is the ongoing adoption of open innovation as a competitiveness strategy in the tourism industry. Regarding the practical implications, open innovation is becoming established and there is strategic support from social media. However, there is a lack of models to give structure to this new paradigm and allow its management. The originality of this chapter lies in combining the models proposed by Narver and Slater and Atuahene-Gima regarding the ways in which companies can approach open innovation.

scholarly journals Top Management Involvement in Open Innovation Processes: Learning from a Global Carmaker

2018 ◽  
Vol 11 (7) ◽  
pp. 142 ◽  
Author(s):  
Elena Candelo ◽  
Diego Matricano ◽  
Mario Sorrentino
Keyword(s):  
Human Resources ◽  
Open Innovation ◽  
Business Models ◽  
Research Question ◽  
Future Developments ◽  
Top Managers ◽  
Ex Post ◽  
The Future ◽  
Innovation Processes

Over the last decades, management scholars have largely investigated several aspects related to Open Innovation Processes – OIPs that concern the beginning, the diffusion and the future developments of the phenomenon, its typologies, its linkages with strategies and business models, its implementation, and even errors to be avoided when managing them. However, there is one aspect that seems to be underexplored and this deals with the involvement of top management.OIPs, like all the other managerial activities, need to be planned and defined ex ante; implemented, launched and managed; analyzed ex post. Thus, a decisional process – pertaining the activities to be carried out, human resources to be involved, criticalities to be avoided and results to be exploited – needs to be managed. Accordingly, the research question posed herein is: How do top managers handle OIPs?In order to respond to the above research question, a case study is presented hereinafter. This case study deals with an OIP launched by Fiat Chrysler Automobiles (FCA), one of the top ten global carmakers, and concerning the car of the future. In particular, through this case study, it is rebuilt and analysed how FCA top managers have handled the whole OIP.By leveraging on the achieved results, the paper speculates on the strong commitment that top managers need to put in practice if they aspire to make OIPs successful.

How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study

2015 ◽  
Vol 165 ◽  
pp. 234-246 ◽  
Author(s):  
Samuel Fosso Wamba ◽  
Shahriar Akter ◽  
Andrew Edwards ◽  
Geoffrey Chopin ◽  
Denis Gnanzou
Keyword(s):  
Systematic Review ◽  
Big Data ◽  
Longitudinal Case Study

Gamification as an Intervention Method in Practice-Based Innovation

2015 ◽  
Vol 12 (04) ◽  
pp. 1550018 ◽  
Author(s):  
Mirva Hyypiä ◽  
Satu Parjanen
Keyword(s):  
Open Innovation ◽  
Successful Method ◽  
Innovation Activities ◽  
A Value ◽  
Intervention Method ◽  
Research Questions ◽  
The Impact ◽  
Innovation Processes

This paper concentrates on the possibilities offered by gamification in practice-based innovation activities. It addresses the following research questions: How does gamification enhance creativity in practice-based innovation? How can gamification be modified into a method that facilitates experiences of gamefulness? A case study presented in the paper examines the impact of gamification in co-creating a value-adding network for open innovation processes between organizations. The results indicate that gamification can be developed into a successful method that enhances creativity and interaction among collaborators.

scholarly journals A Web-Based Framework for Classification and Integration of News Articles Big Data using Ontology

2019 ◽  
Vol 8 (3) ◽  
pp. 3257-3263
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Semantic Web ◽  
Social Networking ◽  
Social Networking Sites ◽  
Climate Information ◽  
Huge Amount ◽  
Web Based ◽  
Different Sources

Around 2.5 quintillion bytes of data have been created online: out of which most of the data has been generated in the last two years. To generate this huge amount of data from different sources, many devices are being utilized such as sensors to get the data about climate information, social networking sites, banking records, e-commerce records, etc. This data is known as Big Data. It mainly consists of three 3v’s volumes, velocity, and variety. Variety of data discusses about different formats of data originating from various data foundations. Hence, the big data variety’s issue is significant in explaining some genuine challenges. The semantic Web is utilized as an Integrator to join information from different sorts of data foundations like web services, social databases, and spreadsheets and so on and in various formats. The semantic Web is an all-encompassing type of the present web that gives simpler methods to look, reuse, join and offer the data. In this manner, it is along these lines seen as a combiner transversely over different things, information applications, and systems. This paper is an effort to uncover the nature of big data and a brief survey on the use of various semantic web-based methods and tools to add value to today’s big data. In addition, it discusses a case study on performing various machine learning functionalities on news articles and proposes a web-based framework for classification and integration of news articles big data using ontologies.

scholarly journals Topic Detection and Tracking Techniques on Twitter: A Systematic Review

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Meysam Asgari-Chenaghlu ◽  
Mohammad-Reza Feizi-Derakhshi ◽  
Leili Farzinvash ◽  
Mohammad-Ali Balafar ◽  
Cina Motamed
Keyword(s):  
Social Media ◽  
Big Data ◽  
Topic Detection ◽  
Huge Amount ◽  
News Reporting ◽  
Topic Detection And Tracking ◽  
Detection And Tracking ◽  
Social Big Data ◽  
New Information ◽  
Text Images

Social networks are real-time platforms formed by users involving conversations and interactions. This phenomenon of the new information era results in a very huge amount of data in different forms and modalities such as text, images, videos, and voice. The data with such characteristics are also known as big data with 5-V properties and in some cases are also referred to as social big data. To find useful information from such valuable data, many researchers tried to address different aspects of it for different modalities. In the case of text, NLP researchers conducted many research studies and scientific works to extract valuable information such as topics. Many enlightening works on different platforms of social media, like Twitter, tried to address the problem of finding important topics from different aspects and utilized it to propose solutions for diverse use cases. The importance of Twitter in this scope lies in its content and the behavior of its users. For example, it is also known as first-hand news reporting social media which has been a news reporting and informing platform even for political influencers or catastrophic news reporting. In this review article, we cover more than 50 research articles in the scope of topic detection from Twitter. We also address deep learning-based methods.

scholarly journals Tourism Experience and Construction of Personalized Smart Tourism Program Under Tourist Psychology

2021 ◽  
Vol 12 ◽  
Author(s):  
Feiya Lan ◽  
Qijun Huang ◽  
Lijin Zeng ◽  
Xiuming Guan ◽  
Dan Xing ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Field Investigation ◽  
Big Data Analysis ◽  
Tourism Industry ◽  
Literature Analysis ◽  
Tourism Experience ◽  
Urban Security ◽  
Travel Services ◽  
Smart Tourism

The present work aims to boost tourism development in China, grasp the psychology of tourists at any time, and provide personalized tourist services. The research object is the tourism industry in Macau. In particular, tourists' experiences are comprehensively analyzed in terms of dining, living, traveling, sightseeing, shopping, and entertaining as per their psychological changes using approaches including big data analysis, literature analysis, and field investigation. In this case, a model of tourism experience formation path is summarized, and a smart travel solution is proposed based on psychological experience. In the end, specific and feasible suggestions are put forward for the Macau tourism industry. Results demonstrate that the psychology-based smart travel solution exerts a significant impact on tourists' tourism experience. Specifically, the weight of secular tourism experience is 0.523, the weight of aesthetic tourism experience is 0.356, and the weight of stimulating tourism experience is 0.121. Tourists prefer travel destinations with excellent urban security and scenic authenticity. They give the two indexes comprehensive scores of 75.14 points and 73.12 points, respectively. The proposed smart travel solution can grasp the psychology of tourists and enhance their tourism experiences. It has strong practical and guiding significances, which can promote constructing smart travel services in Macau and enhancing tourism experiences.

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