scholarly journals Open Innovation in Crowdfunding Context: Diversity, Knowledge, and Networks

2019 ◽  
Vol 11 (1) ◽  
pp. 180 ◽  
Author(s):  
Chien-Chi Chu ◽  
Ya-Fang Cheng ◽  
Fu-Sheng Tsai ◽  
Sang-Bing Tsai ◽  
Kun-Hwa Lu
Keyword(s):  
Open Innovation ◽  
Theoretical Foundation ◽  
Innovation Performance ◽  
Future Research ◽  
Research Issues ◽  
Demographic Attributes

Open innovation is an essential phenomenon in the crowdfunding context. This conceptual piece tends to offer an integrative discussion of three important mechanisms upon which stakeholders of a crowdfunding platform conduct open innovation and value co-creation in crowdfunding sites. These mechanisms include: diversity, knowing, and networking. We argued that: 1. diverse demographic attributes facilitate multiple-party value co-creation; 2. knowledge of platform stakeholders improves quality of ideas; 3. networking positively impacts on open innovation performance. With such discussions, a theoretical foundation for future research is built and more research issues are stimulated.

scholarly journals 6G Enabled Smart Infrastructure for Sustainable Society: Opportunities, Challenges, and Research Roadmap

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1709
Author(s):  
Agbotiname Lucky Imoize ◽  
Oluwadara Adedeji ◽  
Nistha Tandiya ◽  
Sachin Shetty
Keyword(s):  
Wireless Communication ◽  
Psychological Health ◽  
Future Research ◽  
Agriculture Education ◽  
Social Psychological ◽  
Research Issues ◽  
Data Intensive ◽  
Wireless Communication Network ◽  
Data Intensive Applications

The 5G wireless communication network is currently faced with the challenge of limited data speed exacerbated by the proliferation of billions of data-intensive applications. To address this problem, researchers are developing cutting-edge technologies for the envisioned 6G wireless communication standards to satisfy the escalating wireless services demands. Though some of the candidate technologies in the 5G standards will apply to 6G wireless networks, key disruptive technologies that will guarantee the desired quality of physical experience to achieve ubiquitous wireless connectivity are expected in 6G. This article first provides a foundational background on the evolution of different wireless communication standards to have a proper insight into the vision and requirements of 6G. Second, we provide a panoramic view of the enabling technologies proposed to facilitate 6G and introduce emerging 6G applications such as multi-sensory–extended reality, digital replica, and more. Next, the technology-driven challenges, social, psychological, health and commercialization issues posed to actualizing 6G, and the probable solutions to tackle these challenges are discussed extensively. Additionally, we present new use cases of the 6G technology in agriculture, education, media and entertainment, logistics and transportation, and tourism. Furthermore, we discuss the multi-faceted communication capabilities of 6G that will contribute significantly to global sustainability and how 6G will bring about a dramatic change in the business arena. Finally, we highlight the research trends, open research issues, and key take-away lessons for future research exploration in 6G wireless communication.

scholarly journals A Survey on Machine Learning and Deep Learning based Quality of Service aware Protocols for Software Defined Networks

2021 ◽  
Author(s):  
Hiren Kumar Deva Sarma
Keyword(s):  
Machine Learning ◽  
Quality Of Service ◽  
Deep Learning ◽  
Service Level Agreement ◽  
Service Level ◽  
Future Research ◽  
Traffic Classification ◽  
Software Defined Networks ◽  
Research Issues

<p>Quality of Service (QoS) is one of the most important parameters to be considered in computer networking and communication. The traditional network incorporates various quality QoS frameworks to enhance the quality of services. Due to the distributed nature of the traditional networks, providing quality of service, based on service level agreement (SLA) is a complex task for the network designers and administrators. With the advent of software defined networks (SDN), the task of ensuring QoS is expected to become feasible. Since SDN has logically centralized architecture, it may be able to provide QoS, which was otherwise extremely difficult in traditional network architectures. Emergence and popularity of machine learning (ML) and deep learning (DL) have opened up even more possibilities in the line of QoS assurance. In this article, the focus has been mainly on machine learning and deep learning based QoS aware protocols that have been developed so far for SDN. The functional areas of SDN namely traffic classification, QoS aware routing, queuing, and scheduling are considered in this survey. The article presents a systematic and comprehensive study on different ML and DL based approaches designed to improve overall QoS in SDN. Different research issues & challenges, and future research directions in the area of QoS in SDN are outlined. <b></b></p>

scholarly journals The Effect of Open Innovation on Eco-Innovation Performance: The Role of Market Knowledge Sources

2021 ◽  
Vol 13 (7) ◽  
pp. 3890
Author(s):  
Fernando Sanchez-Henriquez ◽  
Ignacio Pavez
Keyword(s):  
Open Innovation ◽  
Innovation Performance ◽  
Future Research ◽  
Knowledge Sources ◽  
Market Knowledge ◽  
Broad Perspective ◽  
Multiple Strategies ◽  
Innovation Activities ◽  
Sources Of Knowledge

Organizations use multiple strategies to increase the number and impact of eco-innovations as a path to achieve competitive advantage. In this article, we study the role of open innovation activities, specifically related to market sources, as a driver of eco-innovation performance. While studies have looked at the relationship between these two emergent innovation phenomena from a broad perspective, we explore whether specific market knowledge sources—clients, suppliers, competitors, and consultants—and their combined use—affect eco-innovation performance. We rely on insights from theories of open innovation and sustainable and environmental innovation to build a theoretical framework about the determinants of eco-innovation performance from a market-driven open innovation perspective. Our sample consists of 3047 firm-year observations obtained from three consecutive panels of the Chilean Innovation Survey (2009–2014). We found that clients, suppliers, competitors, and consultants as knowledge sources positively influence eco-innovation performance in firms. In addition, our results suggest that a combination of client sourcing with supplier and consultant sources of knowledge positively affect eco-innovation performance. We discuss the implications of our findings for open innovation activities on eco-innovation and suggest ideas for future research.

Improving the Quality of Rural Nursing Care

2008 ◽  
Vol 26 (1) ◽  
pp. 175-194 ◽  
Author(s):  
Kathleen Cox ◽  
Irma Mahone ◽  
Elizabeth Merwin
Keyword(s):  
Health Care ◽  
Quality Of Care ◽  
Rural Areas ◽  
Ethical Issues ◽  
The United States ◽  
Operational Definition ◽  
Future Research ◽  
Quality Health Care ◽  
Research Issues

The purpose of this chapter is to review the literature on quality of care in rural areas. Keywords related to rural quality of care were used to search CINAHL and MEDLINE databases for articles published between 2005 and 2007 (limited to studies occurring in the United States). The review consisted of a total of 46 articles. Limitations include inconsistent definitions of rural, the use of only articles available to the reviewers, an unclear understanding of the context of many of the studies, and lack of a clear operational definition of quality. The studies were grouped and discussed according to quality of workforce, practice, treatment, interventions, and technology in rural areas. Each study’s contribution to the understanding of quality health care in rural areas and to determining what was effective in improving staff, patient, or organizational outcomes in rural areas was considered. This chapter also offers a discussion of ethical issues and data quality in rural research. Issues for future research include a focus on patient safety, mental health issues, and the use of technology to improve quality of care in rural areas. Future research should also focus on demonstration studies of model applications. The nursing profession has a unique opportunity to conduct research that will contribute to the development of knowledge that will ultimately improve the quality of health and health care for individuals in rural communities.

scholarly journals The auditor as an element of in- and external corporate governance theoretical findings in the German two tier system

2009 ◽  
Vol 7 (1) ◽  
pp. 168-172 ◽  
Author(s):  
Carl-Christian Freidank ◽  
Patrick Velte ◽  
Stefan Christoph Weber
Keyword(s):  
Corporate Governance ◽  
Theoretical Foundation ◽  
Future Research ◽  
Conflicts Of Interests ◽  
External Audit ◽  
Tier System ◽  
Theoretical View ◽  
External Auditor

This article is focused on the assisting role and gatekeeper function of the external auditor in the German two tier system. From on an agency-theoretical view, the auditor is part of the in- and external corporate governance. Conflicts of interests may arise from different tasks of the assisting role and gatekeeper function of the auditor, influencing the quality of the in- and external audit. Thus, future research is needed to provide theoretical foundation of the auditor’s assisting role for the benefit of the shareholders

scholarly journals A Survey on QoE-Oriented VR Video Streaming: Some Research Issues and Challenges

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2155
Author(s):  
Jinjia Ruan ◽  
Dongliang Xie
Keyword(s):  
Video Streaming ◽  
Service Providers ◽  
Future Research ◽  
Research Issues ◽  
Current State ◽  
Large Numbers ◽  
Smart Education ◽  
Future Research Directions ◽  
Streaming Services

With the advent of the information age, VR video streaming services have emerged in large numbers in scenarios such as immersive entertainment, smart education, and the Internet of Vehicles. People are also demanding an increasing number of virtual-reality (VR) services, and service providers must ensure a good user experience. Therefore, the quality of the VR user’s experience is receiving increasing attention from academia and industry. The review in this paper focuses on a comprehensive summary of the current state of quality-of-experience (QoE) technologies applied to VR video streaming. First, we review the main influencing factors of QoE and VR video streaming. Second, the user QoE for VR evaluation is discussed. Third, the modeling of QoE for VR video streaming, the QoE-oriented VR optimization problem, and enabling techniques of machine learning for VR video streaming improvement are summarized. Lastly, we present current challenges and possible future research directions.

scholarly journals A Survey on Machine Learning and Deep Learning based Quality of Service aware Protocols for Software Defined Networks

2021 ◽  
Author(s):  
Hiren Kumar Deva Sarma
Keyword(s):  
Machine Learning ◽  
Quality Of Service ◽  
Deep Learning ◽  
Service Level Agreement ◽  
Service Level ◽  
Future Research ◽  
Traffic Classification ◽  
Software Defined Networks ◽  
Research Issues

<p>Quality of Service (QoS) is one of the most important parameters to be considered in computer networking and communication. The traditional network incorporates various quality QoS frameworks to enhance the quality of services. Due to the distributed nature of the traditional networks, providing quality of service, based on service level agreement (SLA) is a complex task for the network designers and administrators. With the advent of software defined networks (SDN), the task of ensuring QoS is expected to become feasible. Since SDN has logically centralized architecture, it may be able to provide QoS, which was otherwise extremely difficult in traditional network architectures. Emergence and popularity of machine learning (ML) and deep learning (DL) have opened up even more possibilities in the line of QoS assurance. In this article, the focus has been mainly on machine learning and deep learning based QoS aware protocols that have been developed so far for SDN. The functional areas of SDN namely traffic classification, QoS aware routing, queuing, and scheduling are considered in this survey. The article presents a systematic and comprehensive study on different ML and DL based approaches designed to improve overall QoS in SDN. Different research issues & challenges, and future research directions in the area of QoS in SDN are outlined. <b></b></p>

Self-Compassion and Quality of Life in Adults Who Stutter

2020 ◽  
Vol 29 (4) ◽  
pp. 2097-2108
Author(s):  
Robyn L. Croft ◽  
Courtney T. Byrd
Keyword(s):  
Quality Of Life ◽  
Social Connectedness ◽  
The Self ◽  
Future Research ◽  
Self Compassion ◽  
Adults Who Stutter ◽  
And Gender ◽  
Relationship Of ◽  
The Impact

Purpose The purpose of this study was to identify levels of self-compassion in adults who do and do not stutter and to determine whether self-compassion predicts the impact of stuttering on quality of life in adults who stutter. Method Participants included 140 adults who do and do not stutter matched for age and gender. All participants completed the Self-Compassion Scale. Adults who stutter also completed the Overall Assessment of the Speaker's Experience of Stuttering. Data were analyzed for self-compassion differences between and within adults who do and do not stutter and to predict self-compassion on quality of life in adults who stutter. Results Adults who do and do not stutter exhibited no significant differences in total self-compassion, regardless of participant gender. A simple linear regression of the total self-compassion score and total Overall Assessment of the Speaker's Experience of Stuttering score showed a significant, negative linear relationship of self-compassion predicting the impact of stuttering on quality of life. Conclusions Data suggest that higher levels of self-kindness, mindfulness, and social connectedness (i.e., self-compassion) are related to reduced negative reactions to stuttering, an increased participation in daily communication situations, and an improved overall quality of life. Future research should replicate current findings and identify moderators of the self-compassion–quality of life relationship.

The Relationship Between Interoception and Metacognition

2016 ◽  
Vol 30 (2) ◽  
pp. 76-86 ◽  
Author(s):  
Judith Meessen ◽  
Verena Mainz ◽  
Siegfried Gauggel ◽  
Eftychia Volz-Sidiropoulou ◽  
Stefan Sütterlin ◽  
...  
Keyword(s):  
Memory Performance ◽  
Memory Task ◽  
Demographic Characteristics ◽  
Metacognitive Awareness ◽  
Interoceptive Awareness ◽  
Future Research ◽  
Heartbeat Perception ◽  
Interoceptive Accuracy ◽  
The Relationship

Abstract. Recently, Garfinkel and Critchley (2013) proposed to distinguish between three facets of interoception: interoceptive sensibility, interoceptive accuracy, and interoceptive awareness. This pilot study investigated how these facets interrelate to each other and whether interoceptive awareness is related to the metacognitive awareness of memory performance. A sample of 24 healthy students completed a heartbeat perception task (HPT) and a memory task. Judgments of confidence were requested for each task. Participants filled in questionnaires assessing interoceptive sensibility, depression, anxiety, and socio-demographic characteristics. The three facets of interoception were found to be uncorrelated and interoceptive awareness was not related to metacognitive awareness of memory performance. Whereas memory performance was significantly related to metamemory awareness, interoceptive accuracy (HPT) and interoceptive awareness were not correlated. Results suggest that future research on interoception should assess all facets of interoception in order to capture the multifaceted quality of the construct.

Assessments of User Comments With “Alternative Views” as a Function of Media Trust

2020 ◽  
pp. 1-12
Author(s):  
Marlene Kunst
Keyword(s):  
Online Discussions ◽  
Future Research ◽  
Political Issues ◽  
Argument Quality ◽  
The Public ◽  
Mainstream Media ◽  
User Comments ◽  
Media Trust ◽  
Heuristic Information Processing

Abstract. Comments sections under news articles have become popular spaces for audience members to oppose the mainstream media’s perspective on political issues by expressing alternative views. This kind of challenge to mainstream discourses is a necessary element of proper deliberation. However, due to heuristic information processing and the public concern about disinformation online, readers of comments sections may be inherently skeptical about user comments that counter the views of mainstream media. Consequently, commenters with alternative views may participate in discussions from a position of disadvantage because their contributions are scrutinized particularly critically. Nevertheless, this effect has hitherto not been empirically established. To address this gap, a multifactorial, between-subjects experimental study ( N = 166) was conducted that investigated how participants assess the credibility and argument quality of media-dissonant user comments relative to media-congruent user comments. The findings revealed that media-dissonant user comments are, indeed, disadvantaged in online discussions, as they are assessed as less credible and more poorly argued than media-congruent user comments. Moreover, the findings showed that the higher the participants’ level of media trust, the worse the assessment of media-dissonant user comments relative to media-congruent user comments. Normative implications and avenues for future research are discussed.

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