This document discusses research on utilizing social media tools in new product development. It presents background on how internal use of social media has benefits for companies. The study aims to understand expectations of social media use and actual impacts. A questionnaire was administered before and after implementing social media tools (like blueKiwi and Confluence) at three case organizations. Results found expectations did not match usage, but familiarity with social media led to both high expectations and active use. Benefits included senior managers better supporting organizations and increased intra-organizational awareness for managers and specialists. The conclusion advocates minimizing reluctance across all organizational levels to leverage opportunities from social media.
Vast amounts of survey data are collected for many purposes, including governmental information, public opinion and election surveys, advertising and market research as well as scientific research
Survey data underlie many public policy and business decisions
Good quality data reduces the risk of poor policies and decisions and is of crucial importance
Selection of Articles Using Data Analytics for Behavioral Dissertation Resear...PhD Assistance
Outcomes in health-related issues including psychological, educational, Behavioral, environmental, and social are intended to sustain positive change by digital interferences. These changes may be delivered using any digital device like a phone or computer, and make them gainful for the provider. Complex and large-scale datasets that contain usage data can be yielded by testing a digital intervention. This data provides invaluable detail about how the users interact with these interventions and notify their knowledge of engagement, if they are analyzed properly. This paper recommends an innovative framework for the process of analyzing usage associated with a digital intervention .
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Vast amounts of survey data are collected for many purposes, including governmental information, public opinion and election surveys, advertising and market research as well as scientific research
Survey data underlie many public policy and business decisions
Good quality data reduces the risk of poor policies and decisions and is of crucial importance
Selection of Articles Using Data Analytics for Behavioral Dissertation Resear...PhD Assistance
Outcomes in health-related issues including psychological, educational, Behavioral, environmental, and social are intended to sustain positive change by digital interferences. These changes may be delivered using any digital device like a phone or computer, and make them gainful for the provider. Complex and large-scale datasets that contain usage data can be yielded by testing a digital intervention. This data provides invaluable detail about how the users interact with these interventions and notify their knowledge of engagement, if they are analyzed properly. This paper recommends an innovative framework for the process of analyzing usage associated with a digital intervention .
PhD Assistance is an Academic The Best Dissertation Writing Service & Consulting Support Company established in 2001. specialiWeze in providing PhD Assignments, PhD Dissertation Writing Help , Statistical Analyses, and Programming Services to students in the USA, UK, Canada, UAE, Australia, New Zealand, Singapore and many more.
Website Visit: https://bit.ly/3dANXUD
Contact Us:
UK NO: +44-1143520021
India No: +91-8754446690
Email: info@phdassistance.com
Css Founder is Website Designing Company working with the mission of Website For Everyone Website Start From 999/-* More Packages are available. we are best company in website designing company in Delhi, as we are also working in Website Designing company in Mumbai.
Between January and June 2018, the Isaac Newton Institute for Mathematical Sciences in the UK ran a six-month programme on uncertainty quantification. The aim of the programme was to bring together the applied mathematics/numerical analysis and the statistical communities, who have different approaches to the problem on quantifying uncertainty in complex numerical models. Despite joint initiatives from groups such as SIAM and the ASA on journals and conferences the two communities remain separate and there was little understanding from one group on what the other does. The programme was organised by Peter Challenor (University of Exeter), Max Gunzberger (Florida State University), Catherine Powell (University of Manchester) and Henry Wynn (London School of Economics). Our core themes were: surrogate models; multilevel, multi-scale, and multi-fidelity methods; dimension reduction methods; inverse UQ methods; and careful and fair comparisons. INI programme participants attend the programme for up six months and have opportunities to work together in a collaborative way. Most of our participants attended for between 2-4 weeks. In addition to the participants we had a number of workshops. Four one week workshops on: key UQ methodologies and motivating applications (an introductory workshop to give introductions to UQ methodologies from both traditions);, surrogate models for UQ in complex systems; reducing dimensions and cost for UQ in complex systems; and UQ for inverse problems in complex systems; and two one day workshops aimed at industry and other stakeholders. Most of the talks from the workshops are available on line. I will outline what happened during the programme and give my personal views on the achievements of the programme and what is still left to do.
The Chinese Academy of Agricultural Sciences (CAAS) and the International Food Policy Research Institute (IFPRI) jointly hosted the International Conference on Climate Change and Food Security (ICCCFS) November 6-8, 2011 in Beijing, China. This conference provided a forum for leading international scientists and young researchers to present their latest research findings, exchange their research ideas, and share their experiences in the field of climate change and food security. The event included technical sessions, poster sessions, and social events. The conference results and recommendations were presented at the global climate talks in Durban, South Africa during an official side event on December 1.
Between January and June 2018, the Isaac Newton Institute for Mathematical Sciences in the UK ran a six-month programme on uncertainty quantification. The aim of the programme was to bring together the applied mathematics/numerical analysis and the statistical communities, who have different approaches to the problem on quantifying uncertainty in complex numerical models. Despite joint initiatives from groups such as SIAM and the ASA on journals and conferences the two communities remain separate and there was little understanding from one group on what the other does. The programme was organised by Peter Challenor (University of Exeter), Max Gunzberger (Florida State University), Catherine Powell (University of Manchester) and Henry Wynn (London School of Economics). Our core themes were: surrogate models; multilevel, multi-scale, and multi-fidelity methods; dimension reduction methods; inverse UQ methods; and careful and fair comparisons. INI programme participants attend the programme for up six months and have opportunities to work together in a collaborative way. Most of our participants attended for between 2-4 weeks. In addition to the participants we had a number of workshops. Four one week workshops on: key UQ methodologies and motivating applications (an introductory workshop to give introductions to UQ methodologies from both traditions);, surrogate models for UQ in complex systems; reducing dimensions and cost for UQ in complex systems; and UQ for inverse problems in complex systems; and two one day workshops aimed at industry and other stakeholders. Most of the talks from the workshops are available on line. I will outline what happened during the programme and give my personal views on the achievements of the programme and what is still left to do.
The Chinese Academy of Agricultural Sciences (CAAS) and the International Food Policy Research Institute (IFPRI) jointly hosted the International Conference on Climate Change and Food Security (ICCCFS) November 6-8, 2011 in Beijing, China. This conference provided a forum for leading international scientists and young researchers to present their latest research findings, exchange their research ideas, and share their experiences in the field of climate change and food security. The event included technical sessions, poster sessions, and social events. The conference results and recommendations were presented at the global climate talks in Durban, South Africa during an official side event on December 1.
For more information about Klaas Hummel Diving, please visit my website http://www.klaashummel.com
Pictures by http://www.tahiti-private-expeditions.com
klaas hummel, diving, underwater filming
FACTORS INFLUENCING THE ADOPTION OF E-GOVERNMENT SERVICES IN PAKISTANMuhammad Ahmad
E-government provides opportunities to deliver various services more effectively and better serve citizens. In developing countries, e-government initiatives provide services that have been previously inaccessible to their citizens. However, e-government initiatives in developing countries are still in their infancy and face a wide range of barriers that restrict wide-spread use. Like many other developing countries, Pakistan has a low level of e-government services adoption. Previous research has investigated e-government services in developing countries from the organizational perspective. However, the research stream suffers from an absence of studies that have investigated e-government from a citizen’s perspective. The success of e-government services depends on government support as well as on citizen’s adoption. This paper aims to fill this gap by exploring the challenges and barriers of e-government services from the user’s perspective. In this study, an amended version of the UTAUT model is used to investigate the factors influencing the uptake of e-government services in Pakistan. The results show that the factors influencing the adoption of e-government services in Pakistan are related to ease of use, usefulness, social influence, technological issues, lack of awareness, data privacy, and trust. Implications for e-businesses and government policy decision makers are also considered in this study.
The Workshop on Data4Impact methodology and indicators took place on 24 June 2019 at the premises of the Research Executive Agency in Brussels. The goal of this hands-on, interactive workshop was to gather feedback on the chosen methodology, coverage and latency/timeliness of the developed indicators, to maximise the relevance for all stakeholders involved (particularly for funding agencies and policymakers).
This workshop report summarises the key sessions which took place during the event, including the introduction to Data4Impact, our conceptual framework, and the development of a series of indicators on the performance and societal impact of 40+ research programmes in the health domain. Furthermore, the report summarises the key group/panel discussion outcomes and suggestions for further steps. The list of workshop participants is annexed to the report.
Factors affecting the usage of ChatGPT: Advancing an information technology a...Mark Anthony Camilleri
Few studies have explored the use of artificial intelligence-enabled (AI-enabled) large language models (LLMs). This research addresses this knowledge gap. It investigates perceptions and intentional behaviors to utilize AI dialogue systems like Chat Generative Pre-Trained Transformer (ChatGPT). A survey questionnaire comprising measures from key information technology adoption models, was used to capture quantitative data from a sample of 654 respondents. A partial least squares (PLS) approach assesses the constructs' reliabilities and validities. It also identifies the relative strength and significance of the causal paths in the proposed research model. The findings from SmartPLS4 report that there are highly significant effects in this empirical investigation particularly between source trustworthiness and performance expectancy from AI chatbots, as well as between perceived interactivity and intentions to use this algorithm, among others. In conclusion, this contribution puts forward a robust information technology acceptance framework that clearly evidences the factors that entice online users to habitually engage with text-generating AI chatbot technologies. It implies that although they may be considered as useful interactive systems for content creators, there is scope to continue improving the quality of their responses (in terms of their accuracy and timeliness) to reduce misinformation, social biases, hallucinations and adversarial prompts.
20190528_Data4Impact_Open Science and Big data in support of measuring R&I In...OpenAIRE
Presented by Vilius Stanciauskas, Rainer Frietsch, Alexander Feidenheimer, Haris Papageorgiou, Ioanna Grypari, Iason Demiros and Gustaf Nelhans
during the OpenAIRE workshop "Research policy monitoring in the era of Open Science and Big Data" taking place in Ghent, Belgium on May 27th and 28th 2019
Day 2: Open Science and Big Data in support of measuring R&I Indicators
https://www.openaire.eu/research-policy-monitoring-in-the-era-of-open-science-and-big-data-the-what-indicators-and-the-how-infrastructures
Peter Levesque explores the critical areas of measuring, interpreting, and analyzing results to ensure continual improvement of KT activities to produce intended results.
In June 2013, the Alfred P. Sloan Foundation awarded NISO a grant to undertake a two-phase initiative to explore, identify, and advance standards and/or best practices related to a new suite of potential metrics in the community.The NISO Altmetrics Project has successfully moved to Phase Two, the formation of three working groups, A, B, & C. Working Group B, led by Kristi Holmes, PhD, Director, Galter Health Sciences Library at Northwestern University, and Mike Taylor, Senior Product Manager, Informetrics at Elsevier, is focused on the Output Types & Identifiers within the alternative metrics landscape.
Presentation on Data4Impact methodology & results in the workshop on the use ...Data4Impact
The workshop on the use of big data technologies for advanced research assessment was part of a two day event, co-organised by OpenAIRE and Data4Impact, with support of Science Europe, explored mechanisms for research policy monitoring and indicators, and how to link these to infrastructure and services. The first day was focused on open science indicators as these emerge from national and EU initiatives, while the second day explored more advanced aspects of indicators for innovation and societal impact.
The presentation of the second workshop day includes the introduction to Data4Impact, presents our conceptual framework, and discusses the development of a series of indicators on the performance and societal impact of 40+ research programmes in the health domain.
Not just for STEM: Open and reproducible research in the social sciencesUoLResearchSupport
On Thursday 22nd April 2021, Dr Viktoria Spaiser spoke about how open and reproducible research is currently practiced in the social sciences, how it varies in quantitative, computational, and qualitative social research and how these practices are currently changing. She also discussed what the specific barriers for open and reproducible research in social science are and how at least some of them could be addressed in the future.
Viktoria Spaiser is an Associate Professor in Sustainability Research and Computational Social Sciences at the School of Politics and International Studies, University of Leeds. Viktoria is interested in sustainability research and specifically in how societies can make a rapid, fair and empowering transition to zero-emissions / zero-pollution. She applies mathematical and computational approaches to these and other social and political science research questions.
Data for Impact - Horizon 2020 project pioneering big data approaches for improved assessment of the societal impact in the health, demographic change and well-being societal challenge at national and EU levels. Data4Impact aspires to develop a set of new indicators for assessing research and innovation performance based on a hands-on and data-driven approach.
Here is the presentation from the Data4Impact workshop, which took place on 24th of September 2018.
Holistic and timely monitoring of sti system through an annual panel survey t...Masatsura IGAMI
The National Institute of Science and Technology Policy (NISTEP) expert survey on Japanese science, technology and innovation (STI) system is an annual panel survey administered to Japanese experts and researchers at universities, public research institutions, and private firms. It intends to track the status of STI in Japan through 57 questions related to Japanese STI system. The survey provides a holistic view of the STI system in timely manner and qualitative information such as diversity in basic research and usability of research funds, which is generally difficult to gauge based on research and development statistics. Owing to the originality of the data, various governmental councils and committees have referenced the survey’s results in their official documents, including planning the fifth Science and Technology Basic Plan (STBP). This paper provides an overview of the survey’s methodology and design, and discusses changes that have occurred in Japanese STI during the fourth STBP’s implementation period between 2011–2015. Finally, directions for the survey’s future development are discussed.
Open Government Data Ecosystems: Linking Transparency for Innovation with Tra...Luigi Reggi
Presentation at IFIP EGOV 2016 Conference. September 5, 2016.
Abstract. The rhetoric of open government data (OGD) promises that data transparency will lead to multiple public benefits: economic and social innovation, civic participation, public-private collaboration, and public accountability. In reality much less has been accomplished in practice than advocates have hoped. OGD research to address this gap tends to fall into two streams – one that focuses on data publication and re-use for purposes of innovation, and one that views publication as a stimulus for civic participation and government accountability - with little attention to whether or how these two views interact. In this paper we use an ecosystem perspective to explore this question. Through an exploratory case study we show how two related cycles of influences can flow from open data publication. The first addresses transparency for innovation goals, the second addresses larger issues of data use for public engagement and greater government accountability. Together they help explain the potential and also the barriers to reaching both kinds of goals.
Report on requirements and expectations surveyBlue BRIDGE
Results from BlueBRIDGE survey on data management for the marine and aquaculture sector.
Respondents: 212 members of the French Business and Sea Innovation Cluster, the Pôle Mer Bretagne Atlantique.
My main interest currently is business driven cloud adoption and from that perspective I addressed migration and modernization themes on the Serverless meetup 10.11.2022. From business requirements perspective, should everything be serverless?
Digitaalisten työkalujen ja yhteisöllisten toimintatapojen hyötyjen mittaaminen,
Tähän esitykseen on kerätty tutkimusmateriaalia digitaalisten työkalujen ja yhteisöllisten toimintatapojen käyttöönotosta teollisuusyrityksissä.
Esitys on laadittu osana SYKE-projektia, joka tarjoaa suomalaisille teollisuusyrityksille konkreettisia malleja ja parhaita käytäntöjä, joiden avulla yritykset voivat tehokkaasti hyödyntää digitaalisia toimintatapoja.
http://www.insyke.fi
Doctoral Consortium "Networked Innovation - necessity, challenges and and research issues"
Tampere, Finland, September, 15-18,2011
www.nitim.eu is Ph.D. network on Network, Information Technology and Innovation Management
Finnish Doctoral Program in Industrial Engineering and Management
Arctic Workshop -Innovations in industrial operations held on 10.-11. November, 2011 at Tampere, Finland.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Instructions for Submissions thorugh G- Classroom.pptx
Expectations and benefits of utilizing social media tools in new product development
1. Expectations and benefits of
utilizing social media tools in new
product development
Dr. Tero Peltola & prof. Saku Mäkinen
CITER / Tampere University of Technology, Finland
PICMET’14 Conference | 27.-31.7.2014 | Kanazawa, Japan
4. Internal use of Web 2.0 applications has
produced measurable gains
% of respondents using Web 2.0 for internal purposes and reporting
the following benefits (avarage data from 2009, 2010, 2011)1
Tero Peltola / CITER 30.7.2014
5. • New product development (NPD)
– Cooper & Kleischmidt
– Kim & Wilemon
• Social media tools
- Haefliger et al.
- Dahl et al.
- Tsai
Background literature
30.7.2014Tero Peltola / CITER
2007
2002
2011
2011
2001
6. So what we know / expect
• Increased transparency between internal
functions will foster information sharing that is
among the NPD success factors
• The beginning of the NPD is the most
important phase of the whole development
• Social media tools have suggested to have
positive impact on productivity, interactions,
idea generation and harvesting
30.7.2014Tero Peltola / CITER
8. Questionaire preparation
• 1 to 7 Likert scales (41)
• Each of the question items are either adapted
or synthesized from literature
• Pre-test Pilot test Launch
30.7.2014Tero Peltola / CITER
9. Data collection
• 3 case organizations
• Online surveys
– Initial status
• Winter – Autumn 2012
– Follow-up
• By the end of 2013
• Tools implemented: blueKiwi, Confluence,
Sharepoint with Social Sites
30.7.2014Tero Peltola / CITER
11. Data collection
• 3 case organizations
• Online surveys
– Initial status
• Winter – Autumn 2012
– Follow-up
• By the end of 2013
30.7.2014Tero Peltola / CITER
Pre data collection
responses
Amount (response rate)
Post data collection
responses
Amount (response rate)
Case 1 37 pcs (46.8%) 33 pcs (38.8%)
Case 2 47 pcs (51.6%) 32 pcs (36.4%)
Case 3 47 pcs (44.8%) 57 pcs* (38%)
12. Data collection
• 3 case organizations
• Online surveys
– Initial status
• Winter – Autumn 2012
– Follow-up
• By the end of 2013
30.7.2014Tero Peltola / CITER
Comparative (two datasets)
Pre data collection
responses
Amount (response rate)
Post data collection
responses
Amount (response rate)
Case 1 37 pcs (46.8%) 33 pcs (38.8%)
Case 2 47 pcs (51.6%) 32 pcs (36.4%)
Case 3 47 pcs (44.8%) 57 pcs* (38%)
14. Statistical notes
• According to the background information of
respondents (in both initial and follow-up
rounds) the datasets are not biased.
• Datasets represents statistical different
groups (i.e. they are not subsets of the same
dataset)
– Verified by Mann-Whitney U –test; p<0,05
Comparing them is worthwhile
30.7.2014Tero Peltola / CITER
15. Expectations & Usage
• Expectations and the actual usage are not
alike
– Expectations are correlating with various
communication likelihoods
• But the usage only with intrinsic interactions with
external parties
– Familiarity towards social media technologies
seems to indicate high expectations and also
results active usage
30.7.2014Tero Peltola / CITER
16. The most important aspect
30.7.2014Tero Peltola / CITER
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Expert
dictionary
Information
transparency
Informal
discussions
Other
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Expert
dictionary
Information
transparency
Informal
discussions
Other
Pre Post
17. Benefits
According to the statistical differences between
active and conservative users
• Senior managers can support more the
organization
• Managers and specialists consider that intra-
organizational awareness has been
increased
30.7.2014Tero Peltola / CITER
19. 30.7.2014Tero Peltola / CITER
The impact of the organizational
members’ characteristics should be
minimized by organizational working
practices that utilize the possibilities
of OCT
Reluctance to utilize OCT on the all
organizational levels should be
minimized