scholarly journals Information Fusion Algorithm for Big Data in Digital Publishing Industry Chain

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Haixiang He
Keyword(s):  
Big Data ◽  
Information Integration ◽  
Publishing Industry ◽  
Population Analysis ◽  
Digital Publishing ◽  
Fusion Algorithm ◽  
Industry Chain ◽  
Digital Era ◽  
Specific Regulation ◽  
Knowledge Services

This paper studies the information of big data in the digital publishing industry chain and adopts advanced algorithms for its fusion calculation. The basic theory of digital publishing ecological chain is dissected, the construction requirements, construction methods, and construction paths of digital publishing ecological chain are analysed, and feasible construction measures are proposed. It also defines the connotation of the fusion of knowledge services between publishing institutions and libraries in the digital era; then analyses the characteristics and principles of the fusion of knowledge services between publishing institutions and libraries in the digital era; and finally sorts out the theoretical foundations such as synergy theory, information integration service theory, and game theory. Meanwhile, this paper also studies the flow of digital publishing resources and empirically analyses the eco-efficiency of digital publishing eco-chain by using metabolic network analysis, population analysis, and life cycle analysis, and it finds the eco-efficiency problems of the existing e-book eco-chain from its analysis. Finally, the imbalance in the digital publishing ecological chain and its hazards are analysed, and specific regulation and optimization measures are proposed. The research in this paper makes up for the deficiencies of related studies and can well solve the problems that exist in the previous and provide theoretical support for the healthy development of digital publishing enterprises.

scholarly journals Analysis of Product Distribution Strategy in Digital Publishing Industry Based on Game-Theory

Open Physics ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 207-212 ◽  
Author(s):  
Li-ping Xu ◽  
Haiyan Chen
Keyword(s):  
Game Theory ◽  
Publishing Industry ◽  
Distribution Channel ◽  
Distribution Channels ◽  
Digital Publishing ◽  
Product Distribution ◽  
Market Size ◽  
Industry Chain ◽  
Distribution Strategy ◽  
Traditional Industry

AbstractThe digital publishing output increased significantly year by year. It has been the most vigorous point of economic growth and has been more important to press and publication industry. Its distribution channel has been diversified, which is different from the traditional industry. A deep research has been done in digital publishing industry, for making clear of the constitution of the industry chain and establishing the model of industry chain. The cooperative and competitive relationship between different distribution channels have been analyzed basing on a game-theory. By comparing the distribution quantity and the market size between the static distribution strategy and dynamic distribution strategy, we get the theory evidence about how to choose the distribution strategy to get the optimal benefit.

Predictors of e-publishing adoption in environments of uncertainty

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emmanuel Chukwunonye Ifeduba
Keyword(s):  
Copyright Protection ◽  
Predictive Value ◽  
Design Methodology ◽  
Publishing Industry ◽  
Innovation Adoption ◽  
Digital Publishing ◽  
Empirical Examination ◽  
Content Type ◽  
Education Industry ◽  
Shed Light

Purpose Many developing environments are characterised by uncertainties and research on how these uncertainties impact development in different industries is on-going. However, there is hardly any empirical examination of how this phenomenon impacts innovation adoption in the publishing industry, notwithstanding that the education industry largely depends on publishing. This study aims to interrogate this phenomenon with a view to describing clearly the factors that influence e-publishing innovation adoption in environments of uncertainty. Design/methodology/approach E-publishing data were collected from 79 websites whereas 109 firms filled out a questionnaire both online and offline. Four interviews were conducted and data were analysed using the SPSS to compute frequencies, percentages and correlates of digital publishing innovation adoption. Findings Book piracy and curriculum uncertainty were found to play greater influential roles in the adoption of e-publishing; and though they both correlated positively with e-publishing adoption, only book piracy has a significant predictive value in the adoption of e-publishing. Originality/value The results of this study shed light on the predictors of digital publishing adoption and should help interested publishers and scholars in environments of uncertainty to understand why efforts should be intensified to pursue copyright protection and enforcement.

scholarly journals The limits of computation: A philosophical critique of contemporary Big Data research

2018 ◽  
Vol 5 (2) ◽  
pp. 205395171881184 ◽  
Author(s):  
Petter Törnberg ◽  
Anton Törnberg
Keyword(s):  
Big Data ◽  
Social Life ◽  
Quantitative Methods ◽  
Qualitative Change ◽  
Philosophical Discussion ◽  
Philosophical Critique ◽  
Social Phenomena ◽  
Social Patterns ◽  
Digital Era

This paper reviews the contemporary discussion on the epistemological and ontological effects of Big Data within social science, observing an increased focus on relationality and complexity, and a tendency to naturalize social phenomena. The epistemic limits of this emerging computational paradigm are outlined through a comparison with the discussions in the early days of digitalization, when digital technology was primarily seen through the lens of dematerialization, and as part of the larger processes of “postmodernity”. Since then, the online landscape has become increasingly centralized, and the “liquidity” of dematerialized technology has come to empower online platforms in shaping the conditions for human behavior. This contrast between the contemporary epistemological currents and the previous philosophical discussions brings to the fore contradictions within the study of digital social life: While qualitative change has become increasingly dominant, the focus has gone towards quantitative methods; while the platforms have become empowered to shape social behavior, the focus has gone from social context to naturalizing social patterns; while meaning is increasingly contested and fragmented, the role of hermeneutics has diminished; while platforms have become power hubs pursuing their interests through sophisticated data manipulation, the data they provide is increasingly trusted to hold the keys to understanding social life. These contradictions, we argue, are partially the result of a lack of philosophical discussion on the nature of social reality in the digital era; only from a firm metatheoretical perspective can we avoid forgetting the reality of the system under study as we are affected by the powerful social life of Big Data.

scholarly journals Towards Big Data: Digitising Economic and Business History

2020 ◽  
pp. 45-67
Author(s):  
Jari Eloranta ◽  
Pasi Nevalainen ◽  
Jari Ojala
Keyword(s):  
Big Data ◽  
Data Gathering ◽  
Business History ◽  
General State ◽  
Research Projects ◽  
Digital History ◽  
History Data ◽  
Digital Era ◽  
Research Outcomes ◽  
History Of

This chapter describes the experiences in computational and digital history of economic and business historians who for decades have been forerunners in digital history data gathering and computational analysis. It attempts to discuss the major developments within this area internationally and, in some specific cases, in Finland in the fields of digital economic and business history. It concentrates on a number of research projects that the authors have previously been involved in, as well as research outcomes by other economic and business historians within Finland and elsewhere. It is not claimed that the projects discussed are unique or ahead of their time in the field of economic and business history—on the contrary they are representing a more general state of the art within the field and used as illustrative cases illuminating the possibilities and challenges facing historians in the digital era.

Insight Into Big Data Analytics

2018 ◽  
pp. 67-79
Author(s):  
Mohd Vasim Ahamad ◽  
Misbahul Haque ◽  
Mohd Imran
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Healthcare Services ◽  
Huge Amount ◽  
Business Decision ◽  
Digital Era ◽  
Data Formats ◽  
Recent Trends ◽  
Analytical Approaches

In the present digital era, more data are generated and collected than ever before. But, this huge amount of data is of no use until it is converted into some useful information. This huge amount of data, coming from a number of sources in various data formats and having more complexity, is called big data. To convert the big data into meaningful information, the authors use different analytical approaches. Information extracted, after applying big data analytics methods over big data, can be used in business decision making, fraud detection, healthcare services, education sector, machine learning, extreme personalization, etc. This chapter presents the basics of big data and big data analytics. Big data analysts face many challenges in storing, managing, and analyzing big data. This chapter provides details of challenges in all mentioned dimensions. Furthermore, recent trends of big data analytics and future directions for big data researchers are also described.

scholarly journals Unpacking China’s Social Credit System: Informatization, Regulatory Framework, and Market Dynamics

2020 ◽  
Vol 45 (1) ◽  
Author(s):  
Lianrui Jia
Keyword(s):  
Big Data ◽  
Population Analysis ◽  
Self Regulation ◽  
The Self ◽  
Internet Technology ◽  
Credit System ◽  
Social Credit ◽  
Internet Users ◽  
Regulatory Data

Background  China, with a population of 802 million internet users, a handful of the world’s largest internet companies, and an unfolding Social Credit System (SCS), is often criticized for exerting its data power to surveil and discipline its population. Analysis  This article first provides a historical and situated analysis of the SCS as a part of China’s informatization and datafication processes. It then highlights problems in the current legal and regulatory data-protection framework and discusses the self-regulation practices of the private sector. Conclusions and implications  Overall, this case study provides a historical and contextualized understanding of China’s SCS and related big data developments and assesses the implications of these development for the globalizing Chinese internet, technology companies and the Chinese public.Contexte  Avec une population de 802 million d’utilisateurs d’Internet, avec quelques des plus grandes sociétés Internet du monde, et une Système de Crédit Sociale (SCS) en pleine développement, La Chine est souvent critiqué pour utilizer son pouvoir de données pour surveiller et discipliner sa population. Analyse  Tout d’abord, cet article fournit une analyse historique et située de la SCS comme partie des processus de informatisation et datafication de la Chine. Ensuite, il souligne les problèmes du cadre juridique et régulatoire actuel en matière de protection des données et examine les pratiques d’autorégulation du secteur privé.Conclusions et implications  En global, cette étude de cas fournit une compréhension historique et contextualisée du SCS chinois et de l’évolution du Big Data, et évalue les implications de ce développement pour l’Internet chinois en pleine mondialisation, les entreprises technologiques et le public chinois.

scholarly journals Transformations and Mutations of the Chinese Language Publishing Field in the Digital Age

MANUSYA ◽  
2015 ◽  
Vol 18 (2) ◽  
pp. 92-112
Author(s):  
Yu-Ching Lee
Keyword(s):  
Business Model ◽  
Cultural Production ◽  
Value Chain ◽  
Publishing Industry ◽  
Transition Period ◽  
Chinese Language ◽  
Digital Age ◽  
Digital Publishing ◽  
Reading Habits ◽  
The West

In the traditional publishing arena, the publishing fields around the world all operate according to a fixed value chain system, which has been in operation ever since the existence of the publishing industry over 500 years. Now the publishing industry is going through a transition period toward digitization, which has overwhelmed not only the entire system but the entire publishing field. In this digital age, publishing houses in the West have carried on with their conventional model of value chains and have established a comprehensive digital publishing system. But in Chinesespeaking regions, due to factors such as market traits, consumer reading habits, publishing policies and consumption habits which are vastly different from those in the West, the Western system of digital publishing is not applicable. This study analyzes the Chinese language publishing field by interviewing Cross- Straits publishing experts. The aim is to examine the differences between the publishing structure of Chinese-speaking regions (specifically mainland China and Taiwan), the typical publishing field in the West, and the traditional paper-based publishing field which has existed for hundreds of years. The result shows that Taiwan follows the Western e-publishing model. However, because of the differences in market size and reading habits, the e-publishing model is not applicable in Taiwan. China, on the other hand, has developed its own system called “Internet Literature” in accordance with readers’ reading preferences and habits. Moreover, this model uses the intellectual property to extend the value of publications by transforming literature texts into other forms of cultural production. This publishing business model is carried out by big Internet companies such as Tencent, Baidu, rather than by publishers. These mutations of Internet literature content have really challenged the Chinese state-regulated publishing system, and have become the foundations of a successful business model. This development in China has challenged the conventional definition of publishing, as literature has been a symbol of highbrow civilization whereas Internet Literature is more a symbol of uncultured entertainment.

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