scholarly journals The Economics of Open Source Software: A Survey of the Early Literature

2002 ◽  
Vol 1 (1) ◽  
Author(s):  
Aaron Schiff
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Business Models ◽  
Recent Literature ◽  
Future Research ◽  
Research Directions ◽  
Early Literature ◽  
Future Research Directions ◽  
Closed Source

This paper reviews the recent literature on the economics of open source software. Two different sets of issues are addressed. The first looks at the incentives of programmers to participate in open source projects. The second considers the business models used by profit-making firms in the open source industry, and the effects on existing closed source firms. Some possible future research directions are also given.

Prediction Models and Techniques for Open Source Software Projects

2014 ◽  
Vol 5 (2) ◽  
pp. 1-39 ◽  
Author(s):  
M.M. Mahbubul Syeed ◽  
Imed Hammouda ◽  
Tarja Systä
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Prediction Models ◽  
Literature Survey ◽  
Future Research ◽  
Software Projects ◽  
Reliable Prediction ◽  
Research Directions ◽  
Fundamental Knowledge ◽  
Future Research Directions

Open Source Software (OSS) is currently a widely adopted approach to developing and distributing software. For effective adoption of OSS, fundamental knowledge of project development is needed. This often calls for reliable prediction models to simulate project evolution and to envision project future. These models provide help in supporting preventive maintenance and building quality software. This paper reports on a systematic literature survey aimed at the identification and structuring of research that offer prediction models and techniques in analyzing OSS projects. In this review, we systematically selected and reviewed 52 peer reviewed articles that were published between January, 2000 and March, 2013. The study outcome provides insight in what constitutes the main contributions of the field, identifies gaps and opportunities, and distills several important future research directions.

Social media and consumer engagement: a review and research agenda

2016 ◽  
Vol 10 (4) ◽  
pp. 268-287 ◽  
Author(s):  
Victor Barger ◽  
James W. Peltier ◽  
Don E. Schultz
Keyword(s):  
Social Media ◽  
Recent Literature ◽  
Future Research ◽  
Consumer Engagement ◽  
Research Directions ◽  
Content Type ◽  
Future Research Directions ◽  
Antecedents And Consequences ◽  
Area Of Concern ◽  
Definition Of

Purpose In “Social media’s slippery slope: challenges, opportunities and future research directions”, Schultz and Peltier (2013) asked “whether or how social media can be used to leverage consumer engagement into highly profitable relationships for both parties”. The purpose of this article is to continue this discussion by reviewing recent literature on consumer engagement and proposing a framework for future research. Design/methodology/approach The paper reviews the marketing literature on social media, paying particular attention to consumer engagement, which was identified as a primary area of concern in Schultz and Peltier (2013). Findings A significant amount of research has been conducted on consumer engagement since 2010. Lack of consensus on the definition of the construct has led to fragmentation in the discipline, however. As a result, research related to consumer engagement is often not identified as such, making it difficult for academics and practitioners to stay abreast of developments in this area. Originality/value This critical review provides marketing academics and practitioners insights into the antecedents and consequences of consumer engagement and offers a conceptual framework for future research.

Business Models and Organizational Processes Changes

2011 ◽  
pp. 192-205
Author(s):  
Helena Halas ◽  
Tomaž Klobucar
Keyword(s):  
Pervasive Computing ◽  
Business Models ◽  
Business Processes ◽  
Future Research ◽  
Organizational Processes ◽  
Research Directions ◽  
Main Stress ◽  
Future Research Directions ◽  
Future Business

This chapter explores the influence of pervasive computing on companies and their businesses, with the main stress on business models. The role of business models for companies is presented. Introduction to pervasive computing and a survey of existing e-business models classifications are used as a base for our research. The main characteristics of today’s business models are discussed and a method for evaluating business models characteristics is proposed. We concentrate on characteristics of pervasive computing and their influence on companies’ business processes and business models. The present and future business characteristics and business models are briefly compared, and future research directions on pervasive computing and business models are presented.

A Classification Analysis of the Success of Open Source Health Information Technology Projects

2011 ◽  
pp. 256-273
Author(s):  
Evangelos Katsamakas ◽  
Balaji Janamanchi ◽  
Wullianallur Raghupathi ◽  
Wei Gao
Keyword(s):  
Information Technology ◽  
Open Source ◽  
Health Information Technology ◽  
Health Information ◽  
Open Source Software ◽  
Future Research ◽  
Software Projects ◽  
Information Technology Projects ◽  
Development Status ◽  
Future Research Directions

As the number of open source software (OSS) projects in healthcare grows rapidly, researchers are faced with the challenge of understanding and explaining the success of the open source phenomenon. This article proposes a research framework that examines the roles of project sponsorship, license type, development status and technological complements in the success of open source health information technology (HIT) projects and it develops a systematic method for classifying projects based on their success potential. Drawing from economic theory, a novel proposition in the authors’ framework suggests that higher project-license restrictiveness will increase OSS adoption, because organizations will be more confident that the OSS project will remain open source in the future. Applying the framework to a sample of open source software projects in healthcare, the authors find that although project sponsorship and license restrictiveness influence project metrics, they are not significant predictors of project success categorization. On the other hand, development status, operating system and programming language are significant predictors of an OSS project’s success categorization. Application implications and future research directions are discussed.

Demography of Open Source Software Prediction Models and Techniques

2021 ◽  
pp. 620-652
Author(s):  
Kaniz Fatema ◽  
M. M. Mahbubul Syeed ◽  
Imed Hammouda
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Preventive Maintenance ◽  
Prediction Models ◽  
Journal Article ◽  
Literature Survey ◽  
Future Research ◽  
Fundamental Knowledge ◽  
Future Research Directions ◽  
Insight Into

Open source software (OSS) is currently a widely adopted approach to developing and distributing software. Many commercial companies are using OSS components as part of their product development. For instance, more than 58% of web servers are using an OSS web server, Apache. For effective adoption of OSS, fundamental knowledge of project development is needed. This often calls for reliable prediction models to simulate project evolution and to envision project future. These models provide help in supporting preventive maintenance and building quality software. This chapter reports on a systematic literature survey aimed at the identification and structuring of research that offers prediction models and techniques in analysing OSS projects. The study outcome provides insight into what constitutes the main contributions of the field, identifies gaps and opportunities, and distils several important future research directions. This chapter extends the authors' earlier journal article and offers the following improvements: broader study period, enhanced discussion, and synthesis of reported results.

Industry 4.0 in Pumping Applications

2021 ◽  
pp. 941-954
Author(s):  
Luiz Eduardo Marques Bastos
Keyword(s):  
Working Conditions ◽  
Industry 4.0 ◽  
Business Models ◽  
Industrial Revolution ◽  
Future Research ◽  
Research Directions ◽  
Equipment Operation ◽  
The World ◽  
Future Research Directions ◽  
Traditional Industry

This chapter addresses the so-called Industry 4.0 and some of its applications in industrial pumps, seeking to emphasize its characteristics and benefits. The introduction of 4.0 industry technologies in this traditional industry can cause profound changes in existing business models, providing greater customer satisfaction, either improving the effectiveness of equipment operation, contributing to better adjustment to working conditions, and also prolonging their life cycle. We are still in the early stages of these technologies and a lot is yet to evolve; however, there are already interesting examples developed by some pump manufacturers around the world, some of which will be mentioned in this chapter. It is subdivided into three main parts, namely brief historical panorama from the first industrial revolution to Industry 4.0, current applications in the industrial pump industry, and finally, future research directions and conclusion.

Business Models and Organizational Processes Changes

2011 ◽  
pp. 155-168
Author(s):  
Helena Halas ◽  
Tomaž Klobucar
Keyword(s):  
Pervasive Computing ◽  
Business Models ◽  
Business Processes ◽  
Future Research ◽  
Organizational Processes ◽  
Research Directions ◽  
Main Stress ◽  
Future Research Directions ◽  
Future Business

This chapter explores the influence of pervasive computing on companies and their businesses, with the main stress on business models. The role of business models for companies is presented. Introduction to pervasive computing and a survey of existing e-business models classifications are used as a base for our research. The main characteristics of today’s business models are discussed and a method for evaluating business models characteristics is proposed. We concentrate on characteristics of pervasive computing and their influence on companies’ business processes and business models. The present and future business characteristics and business models are briefly compared, and future research directions on pervasive computing and business models are presented.

scholarly journals Service modularity and architecture – an overview and research agenda

2017 ◽  
Vol 37 (6) ◽  
pp. 686-702 ◽  
Author(s):  
Saara A. Brax ◽  
Anu Bask ◽  
Juliana Hsuan ◽  
Chris Voss
Keyword(s):  
Business Models ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Research Designs ◽  
Architectural Innovation ◽  
Future Research Directions ◽  
The Subject ◽  
Research Stream ◽  
Tangible Product

Purpose Services are highly important in a world economy which has increasingly become service driven. There is a growing need to better understand the possibilities for, and requirements of, designing modular service architectures. The purpose of this paper is to elaborate on the roots of the emerging research stream on service modularity, provide a concise overview of existing work on the subject, and outline an agenda for future research on service modularity and architecture. The articles in the special issue offer four diverse sets of research on service modularity and architecture. Design/methodology/approach The paper is built on a literature review mapping the current body of literature on the topic and developing future research directions in service modularity and architecture. Findings The growing focus on services has triggered needs to investigate the suitability and implementation of physical-product-focused modularity principles and theories in service contexts, and to search for principles/theories that enhance services. The expanding research stream has explored various aspects of service modularity in empirical contexts. Future research should focus on service-specific modularity theories and principles, platform-based and mass-customized service business models, comparative research designs, customer perspectives and service experience, performance in context of modular services, empirical evidence of benefits and challenges, architectural innovation in services, modularization in multi-provider contexts, and modularity in hybrid offerings combining service and tangible product modules. Originality/value Nine areas are recommended for further research on service modularity and architecture. The introductory piece also discusses the roots of service modularity and provides an overview of current contributions.

Issues and Challenges in Securing eHealth Systems

2014 ◽  
Vol 5 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Yan Bai ◽  
Lirong Dai ◽  
Juan Li
Keyword(s):  
Data Collection ◽  
Recent Literature ◽  
Health Data ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
Ehealth Services

With the widespread eHealth usage, security of eHealth services is becoming increasingly important. In this paper, we analyze the security problems in eHealth systems, discuss various approaches of securing health data collection and sharing proposed in the recent literature on eHealth security, and provide comparative evaluations that include advantages and limitations of each approach. Possible future research directions on each approach for enhancing security for eHealth applications are also suggested.

scholarly journals Temporal Binding in Multisensory and Motor-Sensory Contexts: Toward a Unified Model

2021 ◽  
Vol 15 ◽  
Author(s):  
Kishore Kumar Jagini
Keyword(s):  
Motor Control ◽  
Causal Inference ◽  
Recent Literature ◽  
Uncertainty Reduction ◽  
Future Research ◽  
Temporal Binding ◽  
Research Directions ◽  
Daily Lives ◽  
Future Research Directions ◽  
Causal Event

Our senses receive a manifold of sensory signals at any given moment in our daily lives. For a coherent and unified representation of information and precise motor control, our brain needs to temporally bind the signals emanating from a common causal event and segregate others. Traditionally, different mechanisms were proposed for the temporal binding phenomenon in multisensory and motor-sensory contexts. This paper reviews the literature on the temporal binding phenomenon in both multisensory and motor-sensory contexts and suggests future research directions for advancing the field. Moreover, by critically evaluating the recent literature, this paper suggests that common computational principles are responsible for the temporal binding in multisensory and motor-sensory contexts. These computational principles are grounded in the Bayesian framework of uncertainty reduction rooted in the Helmholtzian idea of unconscious causal inference.

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