Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis

2020 ◽  
Vol 31 (3) ◽  
pp. 731-752
Author(s):  
Xiaomo Liu ◽  
G. Alan Wang ◽  
Weiguo Fan ◽  
Zhongju Zhang
Keyword(s):  
Design Science ◽  
Theory Of Knowledge ◽  
Analytic Framework ◽  
Knowledge Communities ◽  
Useful Knowledge ◽  
Knowledge Repository ◽  
Adoption Model ◽  
Knowledge Adoption ◽  
Empirical Design ◽  
Kernel Theory

In this study, we utilize a kernel theory of knowledge adoption model and propose a novel text analytic framework to classify the usefulness of solutions in online knowledge communities. The study combines multiple disciplines (behavioral, empirical, design science, and technical) to tackle an important and relevant business problem: how to effectively manage an online knowledge repository and identify useful solutions. Our framework can be implemented in online knowledge communities to improve users’ experience of searching for useful knowledge. The proposed framework has the potential to guide the development of customer-facing chatbots, which understand human-language questions and return helpful answers immediately.

scholarly journals Towards the development of a DSS supporting the integration of crowdsourcing in theory testing: Analytical framework design

2020 ◽  
Author(s):  
I Enwereuzo ◽  
Pedro Antunes ◽  
David Johnstone
Keyword(s):  
Information Systems ◽  
Design Science ◽  
Reliability And Validity ◽  
Analytical Framework ◽  
Research Process ◽  
Theory Testing ◽  
Analytic Framework ◽  
Framework Design ◽  
Internet Users ◽  
Insight Into

© 2019 Association for Information Systems. All rights reserved. Crowdsourcing can be an adopted strategy for researchers where tasks are distributed to internet users to harness different forms of data, which adds to the reliability and validity of the research process. As theory testing is an essential part of the research process, involving activities that most times needs input from different and diverse participants, the need to consider adopting the crowdsourcing strategy for theory testing is paramount. Adopting a design science paradigm to manage this challenge, we design an analytic framework which comprises of important attributes that need to be considered if crowdsourcing is to be used for any of the theory testing activities. The framework which was justified using sample cases gives us an insight into what attributes make such activity crowdsource-able. The value of this artefact lies in its capacity to help researchers utilize crowdsourcing to their advantage.

scholarly journals Towards the development of a DSS supporting the integration of crowdsourcing in theory testing: Analytical framework design

2020 ◽  
Author(s):  
I Enwereuzo ◽  
Pedro Antunes ◽  
David Johnstone
Keyword(s):  
Information Systems ◽  
Design Science ◽  
Reliability And Validity ◽  
Analytical Framework ◽  
Research Process ◽  
Theory Testing ◽  
Analytic Framework ◽  
Framework Design ◽  
Internet Users ◽  
Insight Into

© 2019 Association for Information Systems. All rights reserved. Crowdsourcing can be an adopted strategy for researchers where tasks are distributed to internet users to harness different forms of data, which adds to the reliability and validity of the research process. As theory testing is an essential part of the research process, involving activities that most times needs input from different and diverse participants, the need to consider adopting the crowdsourcing strategy for theory testing is paramount. Adopting a design science paradigm to manage this challenge, we design an analytic framework which comprises of important attributes that need to be considered if crowdsourcing is to be used for any of the theory testing activities. The framework which was justified using sample cases gives us an insight into what attributes make such activity crowdsource-able. The value of this artefact lies in its capacity to help researchers utilize crowdsourcing to their advantage.

scholarly journals Towards the development of a DSS supporting the integration of crowdsourcing in theory testing: Analytical framework design

2020 ◽  
Author(s):  
I Enwereuzo ◽  
Pedro Antunes ◽  
David Johnstone
Keyword(s):  
Information Systems ◽  
Design Science ◽  
Reliability And Validity ◽  
Analytical Framework ◽  
Research Process ◽  
Theory Testing ◽  
Analytic Framework ◽  
Framework Design ◽  
Internet Users ◽  
Insight Into

© 2019 Association for Information Systems. All rights reserved. Crowdsourcing can be an adopted strategy for researchers where tasks are distributed to internet users to harness different forms of data, which adds to the reliability and validity of the research process. As theory testing is an essential part of the research process, involving activities that most times needs input from different and diverse participants, the need to consider adopting the crowdsourcing strategy for theory testing is paramount. Adopting a design science paradigm to manage this challenge, we design an analytic framework which comprises of important attributes that need to be considered if crowdsourcing is to be used for any of the theory testing activities. The framework which was justified using sample cases gives us an insight into what attributes make such activity crowdsource-able. The value of this artefact lies in its capacity to help researchers utilize crowdsourcing to their advantage.

scholarly journals Towards the development of a DSS supporting the integration of crowdsourcing in theory testing: Analytical framework design

2020 ◽  
Author(s):  
I Enwereuzo ◽  
Pedro Antunes ◽  
David Johnstone
Keyword(s):  
Information Systems ◽  
Design Science ◽  
Reliability And Validity ◽  
Analytical Framework ◽  
Research Process ◽  
Theory Testing ◽  
Analytic Framework ◽  
Framework Design ◽  
Internet Users ◽  
Insight Into

© 2019 Association for Information Systems. All rights reserved. Crowdsourcing can be an adopted strategy for researchers where tasks are distributed to internet users to harness different forms of data, which adds to the reliability and validity of the research process. As theory testing is an essential part of the research process, involving activities that most times needs input from different and diverse participants, the need to consider adopting the crowdsourcing strategy for theory testing is paramount. Adopting a design science paradigm to manage this challenge, we design an analytic framework which comprises of important attributes that need to be considered if crowdsourcing is to be used for any of the theory testing activities. The framework which was justified using sample cases gives us an insight into what attributes make such activity crowdsource-able. The value of this artefact lies in its capacity to help researchers utilize crowdsourcing to their advantage.

Theory-Based Problem Formulation and Ideation in mHealth Analysis and Recommendations

2022 ◽  
Vol 34 (4) ◽  
pp. 0-0
Keyword(s):  
Cognitive Mapping ◽  
Design Science ◽  
Stakeholder Analysis ◽  
Science Research ◽  
Problem Formulation ◽  
Design Science Research ◽  
Problem Analysis ◽  
Input Use ◽  
Kernel Theory

This article reports on an investigation into how to improve problem formulation and ideation in Design Science Research (DSR) within the mHealth domain. A Systematic Literature Review of problem formulation in published mHealth DSR papers found that problem formulation is often only weakly performed, with shortcomings in stakeholder analysis, patient-centricity, clinical input, use of kernel theory, and problem analysis. The study proposes using Coloured Cognitive Mapping for DSR (CCM4DSR) as a tool to improve problem formulation in mHealth DSR. A case study using CCM4DSR found that using CCM4DSR provided a more comprehensive problem formulation and analysis, highlighting aspects that, until CCM4DSR was used, weren’t apparent to the research team and which served as a better basis for mHealth feature ideation.

FAKTOR KESIAPAN DAN ADOPSI TEKNOLOGI INFORMASI DALAM KONTEKS TEKNOLOGI SERTA LINGKUNGAN PADA UMKM DI JAKARTA

2019 ◽  
Vol 5 (1) ◽  
pp. 49-56 ◽  
Author(s):  
Asrul Sani ◽  
Ninuk Wiliani
Keyword(s):  
Information Technology ◽  
Technology Adoption ◽  
Quantitative Study ◽  
Business Management ◽  
Technology Readiness ◽  
Business Sector ◽  
Research Model ◽  
Information Technology Adoption ◽  
Technology Adoption Model ◽  
Adoption Model

Use of information technology in general is very important for the development of the organization. Likewise, if the development of information technology can be applied to the small and medium business sector, so that it can increase the selling value of the sector. This research was conducted to answer the readiness of the SMEs sector in adopting information technology developments in business management. In this case the researcher develops the research model by adopting the technology readiness model and information technology adoption model in the context of technology and environment, combining and adjusting it according to the development of SMEs in Jakarta. This quantitative study involved 67 samples from MSME workers. Data was processed and analyzed using the PLS-SEM method using SmartPLS 2.0 software. The study also explained the results of the readiness factor which has a significant relationship to the utilization of information technology in SMEs in Jakarta

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