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Article
Publication date: 21 April 2022

Jiang Wu, Xiao Huang and Bin Wang

To better understand the success of an open source software (OSS) project, this study aims to examine the role of social dependency networks (i.e. social and technical…

Abstract

Purpose

To better understand the success of an open source software (OSS) project, this study aims to examine the role of social dependency networks (i.e. social and technical dependencies) in online communities.

Design/methodology/approach

This study focuses on dependencies using three network metrics – degree centrality, betweenness centrality and closeness centrality – in developer and module networks. A longitudinal analysis from the projects hosted at Sourceforge.net is conducted to examine the effects of social and technical networks on the success of OSS projects. To address our research questions, we have constructed research models to investigate the social network effects in developer networks, the technical network effects in module networks, and the social-technical network effects in both types of networks.

Findings

The results reveal nonlinear relationships between degree centrality in both social and technical networks and OSS success, highlighting the importance of a moderate level of degree centrality in team structure and software architecture. Meanwhile, a moderate level of betweenness centrality and a lower level of closeness centrality between developers lead to a higher chance of OSS project success.

Originality/value

This study is the first attempt to consider the network metrics in both module networks of the technical sub-system and developer networks of the social sub-system to better understand their influences on project success.

Details

Information Technology & People, vol. 36 no. 2
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 7 November 2016

Devis Bianchini, Valeria De Antonellis and Michele Melchiori

Modern Enterprise Web Application development can exploit third-party software components, both internal and external to the enterprise, that provide access to huge and valuable…

Abstract

Purpose

Modern Enterprise Web Application development can exploit third-party software components, both internal and external to the enterprise, that provide access to huge and valuable data sets, tested by millions of users and often available as Web application programming interfaces (APIs). In this context, the developers have to select the right data services and might rely, to this purpose, on advanced techniques, based on functional and non-functional data service descriptive features. This paper focuses on this selection task where data service selection may be difficult because the developer has no control on services, and source reputation could be only partially known.

Design/methodology/approach

The proposed framework and methodology are apt to provide advanced search and ranking techniques by considering: lightweight data service descriptions, in terms of (semantic) tags and technical aspects; previously developed aggregations of data services, to use in the selection process of a service the past experiences with the services when used in similar applications; social relationships between developers (social network) and their credibility evaluations. This paper also discusses some experimental results regarding the plan to expand other experiments to check how developers feel using the approach.

Findings

In this paper, a data service selection framework that extends and specializes an existing one for Web APIs selection is presented. The revised multi-layered model for data services is discussed and proper metrics relying on it, meant for supporting the selection of data services in a context of Web application design, are introduced. Model and metrics take into account the network of social relationships between developers, to exploit them for estimating the importance that a developer assigns to other developers’ experience.

Originality/value

This research, with respect to the state of the art, focuses attention on developerssocial networks in an enterprise context, integrating the developers’ credibility assessment and implementing the social network-based data service selection on top of a rich framework based on a multi-perspective model for data services.

Details

International Journal of Web Information Systems, vol. 12 no. 4
Type: Research Article
ISSN: 1744-0084

Keywords

Book part
Publication date: 13 December 2017

Qiongwei Ye and Baojun Ma

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to…

Abstract

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

Details

Internet+ and Electronic Business in China: Innovation and Applications
Type: Book
ISBN: 978-1-78743-115-7

Article
Publication date: 16 November 2010

Ben Light and Kathy McGrath

This paper aims to provide insights into the moral values embodied by a popular social networking site (SNS), Facebook.

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Abstract

Purpose

This paper aims to provide insights into the moral values embodied by a popular social networking site (SNS), Facebook.

Design/methodology/approach

This study is based upon qualitative fieldwork, involving participant observation, conducted over a two‐year period. The authors adopt the position that technology as well as humans has a moral character in order to disclose ethical concerns that are not transparent to users of the site.

Findings

Much research on the ethics of information systems has focused on the way that people deploy particular technologies, and the consequences arising, with a view to making policy recommendations and ethical interventions. By focusing on technology as a moral actor with reach across and beyond the internet, the authors reveal the complex and diffuse nature of ethical responsibility and the consequent implications for governance of SNS.

Research limitations/implications

The authors situate their research in a body of work known as disclosive ethics, and argue for an ongoing process of evaluating SNS to reveal their moral importance. Along with that of other authors in the genre, this work is largely descriptive, but the paper engages with prior research by Brey and Introna to highlight the scope for theory development.

Practical implications

Governance measures that require the developers of social networking sites to revise their designs fail to address the diffuse nature of ethical responsibility in this case. Such technologies need to be opened up to scrutiny on a regular basis to increase public awareness of the issues and thereby disclose concerns to a wider audience. The authors suggest that there is value in studying the development and use of these technologies in their infancy, or if established, in the experiences of novice users. Furthermore, flash points in technological trajectories can prove useful sites of investigation.

Originality/value

Existing research on social networking sites either fails to address ethical concerns head on or adopts a tool view of the technologies so that the focus is on the ethical behaviour of users. The authors focus upon the agency, and hence the moral character, of technology to show both the possibilities for, and limitations of, ethical interventions in such cases.

Details

Information Technology & People, vol. 23 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 15 February 2023

Zahra Sarmast, Sajjad Shokouhyar, Seyed Hamed Ghanadpour and Sina Shokoohyar

Warranty service plays a critical role in sustainability and service continuity and influences customer satisfaction. Considering the role of social networks in customer feedback…

Abstract

Purpose

Warranty service plays a critical role in sustainability and service continuity and influences customer satisfaction. Considering the role of social networks in customer feedback channels, one of the essential sources to examine the reflection of a product/service is social media mining. This paper aims to identify the frequent product failures through social network mining. Focusing on social media data as a comprehensive and online source to detect warranty issues reveals opportunities for improvement, such as user problems and necessities. This model will detect the causes of defects and prioritize improving components in a product-service system based on FMEA results.

Design/methodology/approach

Ontology-based methods, text mining and sentiment analysis with machine learning methods are performed on social media data to investigate product defects, symptoms and the relationship between warranty plans and customer behaviour. Also, the authors have incorporated multi-source data collection to cover all the possibilities. Then the authors promote a decision support system to help the decision-makers using the FMEA process have a more comprehensive insight through customer feedback. Finally, to validate the accuracy and reliability of the results, the authors used the operational data of a LENOVO laptop from a warranty service centre and classifier performance metrics to compare the authors’ results.

Findings

This study confirms the validity of social media data in detecting customer sentiments and discovering the most defective components and failures of the products/services. In other words, the informative threads are derived through a data preparation process and then are based on analyzing the different features of a failure (issues, symptoms, causes, components, solutions). Using social media data helps gain more accurate online information due to the limitation of warranty periods. In other words, using social media data broadens the scope of data gathering and lets in all feedback from different sources to recognize improvement opportunities.

Originality/value

This work contributes a DSS model using multi-channel social media mining through supervised machine learning for warranty-service improvement based on defect-related discovery to unravel the potential aspects of social networks analysis to predict the most vulnerable components of a product and the main causes of failures that lead to the inputs for the FMEA process and then, a cost optimization. The authors have used social media channels like Twitter, Facebook, Reddit, LENOVO Forums, GitHub, Quora and XDA-Developers to gather data about the LENOVO laptop failures as a case study.

Details

Industrial Management & Data Systems, vol. 123 no. 5
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 23 October 2023

Parinda Doshi, Priti Nigam and Bikramjit Rishi

This paper aims to conceptualize a framework drawn upon the self-regulation theory to study the effect of system quality features on the continuous usage intention of social

Abstract

Purpose

This paper aims to conceptualize a framework drawn upon the self-regulation theory to study the effect of system quality features on the continuous usage intention of social network users. The study explores the relationship among the selected variables and identifies the determinants of continuous usage intention of social networks.

Design/methodology/approach

A survey method was used to collect data from 301 male and 311 female social network users to test the research model with the help of the structural equation modelling technique.

Findings

The results show a difference between male and female social media users for the continuous usage intention of social networks. A substantial difference in the relationship was seen between the attitude and continuous usage intention, where female social network users had a more robust and significant relationship than their male counterparts.

Originality/value

This study uses the self-regulation theory to understand the continuous usage intention of social networks in the Indian context. This research study contributes to the existing literature on social networks/social media and the adoption intention.

Details

Journal of Systems and Information Technology, vol. 25 no. 4
Type: Research Article
ISSN: 1328-7265

Keywords

Article
Publication date: 1 June 2015

Mihail Cocosila and Andy Igonor

The purpose of this paper is to report on a value-based empirical investigation of the adoption of Twitter social networking application. The unprecedented popularity of social

1909

Abstract

Purpose

The purpose of this paper is to report on a value-based empirical investigation of the adoption of Twitter social networking application. The unprecedented popularity of social networking applications in a short time period warrants exploring theory-based reasons of their success.

Design/methodology/approach

A cross-sectional survey-based study to elicit user views on Twitter was conducted with participants recruited through the web site of a North-American university.

Findings

All facets of perceived value considered in the study (utilitarian, hedonic and social) had a significant and relatively strong influence on consumer intent to use Twitter. Quite surprisingly for a social networking application, though, the social value facet had comparatively the weakest contribution in the use equation.

Research limitations/implications

User value perception might have been influenced by the features of the actual social networking application under scrutiny (i.e. Twitter in this case).

Practical implications

To maximize the chances of success of new social networking applications, developers and marketers of these media should focus on the hedonic and utilitarian sides of their perceived value.

Social implications

Additional efforts are necessary to better understand the reasons and factors leading to a comparatively lower social value perception of a social networking application, compared to its hedonic and utilitarian values.

Originality/value

Overall, the study opens the door for investigating user perceptions on popular social networking applications in an effort to understand the unparalleled success of these services in a short time period.

Details

Information Technology & People, vol. 28 no. 2
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 4 January 2021

Paolo Dello Vicario and Valentina Tortolini

The purpose of this paper is to define a methodology to analyze links between programming topics and libraries starting from GitHub data.

Abstract

Purpose

The purpose of this paper is to define a methodology to analyze links between programming topics and libraries starting from GitHub data.

Design/methodology/approach

This paper developed an analysis over machine learning repositories on GitHub, finding communities of repositories and studying the anatomy of collaboration around a popular topic such as machine learning.

Findings

This analysis indicates the significant importance of programming languages and technologies such as Python and Jupyter Notebook. It also shows the rise of deep learning and of specific libraries such as Tensorflow from Google.

Originality/value

There exists no survey or analysis based on how developers influence each other for specific topics. Other researchers focused their analysis on the collaborative structure and social impact instead of topic impact. Using this methodology to analyze programming topics is important not just for machine learning but also for other topics.

Article
Publication date: 30 October 2018

Vladlena Benson, Jean-Noel Ezingeard and Chris Hand

Social media users’ purchasing behaviour is yet to be fully understood by research. The purpose of this paper is to investigate how purchase intention is affected by social media…

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Abstract

Purpose

Social media users’ purchasing behaviour is yet to be fully understood by research. The purpose of this paper is to investigate how purchase intention is affected by social media user traits, cognitive factors (such as perceived control and trust) and individual beliefs, such as risk propensity and trustworthiness.

Design/methodology/approach

The authors propose and empirically test a model of purchase intention on social platforms. The study of over 500 active social media users finds the links between risk propensity, trust, technical efficacy and perceived control and explores the moderating effect of age and gender.

Findings

Purchase intention on social platforms is influenced by demographic factors, cognitive factors and beliefs. Both age and gender moderate the effects of beliefs and cognitive factors: age is a determinant of purchase intention for men, while beliefs are significant for younger women and cognitive factors are significant for older women.

Research limitations/implications

This study involved a cross-sectional design via online survey of social networking users. Gender differences in purchase intentions are found which are, in turn, influenced by age. Further empirical testing of social purchase intention could include less experienced users or non-users.

Practical implications

The results of this study provide guidance for SNS providers and technology developers in social networking commerce in terms of the different drivers of purchase intention.

Originality/value

Social media users’ purchasing behaviour is yet to be fully understood. The study shows that purchase intention antecedents vary between genders and age groups of users. The identified connection between users’ perceptions of social networking sites (SNS) usage of personal information and purchase behaviour has an impact on the likelihood of user engagement in social transactions.

Details

Information Technology & People, vol. 32 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 24 April 2020

Xiufeng Cheng, Ziming Zhang, Yue Yang and Zhonghua Yan

Social coding platforms (SCPs) have been adopted by scores of developers in building, testing and managing their codes collaboratively. Accordingly, this type of platform (site…

Abstract

Purpose

Social coding platforms (SCPs) have been adopted by scores of developers in building, testing and managing their codes collaboratively. Accordingly, this type of platform (site) enables collaboration between enterprises and universities (c-EU) at a lower cost in the form of online team-building projects (repositories). This paper investigates the open collaboration patterns between these two parties on GitHub by measuring their online behaviours. The purpose of this investigation is to identify the most attractive collaboration features that enterprises can offer to increase university students' participation intentions.

Design/methodology/approach

The research process is divided into four steps. First, the authors crawled for numerical data for each interactive repository feature created by employees of Alibaba on GitHub and identified the student accounts associated with these repositories. Second, a categorisation schema of feature classification was proposed on a behavioural basis. Third, the authors clustered the aforementioned repositories based on feature data and recognised four types of repositories (popular, formal, normal and obsolete) to represent four open collaboration patterns. The effects of the four repository types on university students' collaboration behaviour were measured using a multiple linear regression model. An ANOVA test was implemented to examine the robustness of research results. Finally, the authors proposed some practical suggestions to enhance collaboration between both sides of SCPs.

Findings

Several counterintuitive but reasonable findings were revealed, for example, those based on the “star” repository feature. The actual coding contribution of the repositories had a negative correlation with student attention. This result indicates that students were inclined to imitate rather than innovate.

Originality/value

This research explores the open collaboration patterns between enterprises and universities on GitHub and their impact on student coding behaviour. According to the research analysis, both parties benefit from open collaboration on SCPs, and the allocation or customisation of online repository features may affect students' participation in coding. This research brings a new perspective to the measurement of users' collaboration behaviour with output rates on SCPs.

Details

Internet Research, vol. 30 no. 4
Type: Research Article
ISSN: 1066-2243

Keywords

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