scholarly journals An exploratory design science study on theory testing using crowdsourcing

2021 ◽  
Author(s):  
◽  
Ijay Ushaka
Keyword(s):  
Conceptual Framework ◽  
Design Science ◽  
Large Data ◽  
Science Research ◽  
Design Science Research ◽  
Theory Testing ◽  
Data Sets ◽  
Decision Tool ◽  
Research Activities ◽  
Principles Of Design

<p>Theory in Information Systems (IS) is very important to the development of the field. Theory building, and theory testing seeks to accumulate knowledge about the relationships between people and technology. Testing theory can be difficult to accomplish, especially when it involves humans, a diversity of methods and sources, multiple experiments, large data sets, and careful tuning of conditions and instruments. Crowdsourcing is a strategy supporting the distribution of activities to crowd workers, which suggests that it may be used to support theory testing.  This exploratory study seeks to analyse the adoption of crowdsourcing in theory testing, and to develop guidance for researchers to instantiate the strategy in their research projects.  The study adopts the design science research paradigm to explore incorporating the crowdsourcing strategy in theory testing, and to evaluate its viability and utility. According to the principles of design science research, the study is structured around the construction of several interconnected IS artefacts: 1) a conceptual framework articulating the main principles of theory testing; 2) a pattern model of theory testing, which codifies existing research approaches to theory testing; and 3) a decision tool, which codifies guidelines for researchers making decisions on which research activities to crowdsource.  In order to build the conceptual framework and pattern model, the study conducts a systematic review of theory testing in the IS domain. Both the conceptual framework and pattern model are then operationalized in the decision tool. The utility of the various artefacts is then assessed with the participation of research practitioners.  This study is relevant because it synthesizes knowledge about theory testing, builds innovative artefacts supporting the adoption of crowdsourcing in theory testing, helps academic researchers understanding the theory testing process, and enables them to adopt crowdsourcing for theory testing.</p>

scholarly journals An exploratory design science study on theory testing using crowdsourcing

2021 ◽  
Author(s):  
◽  
Ijay Ushaka
Keyword(s):  
Conceptual Framework ◽  
Design Science ◽  
Large Data ◽  
Science Research ◽  
Design Science Research ◽  
Theory Testing ◽  
Data Sets ◽  
Decision Tool ◽  
Research Activities ◽  
Principles Of Design

<p>Theory in Information Systems (IS) is very important to the development of the field. Theory building, and theory testing seeks to accumulate knowledge about the relationships between people and technology. Testing theory can be difficult to accomplish, especially when it involves humans, a diversity of methods and sources, multiple experiments, large data sets, and careful tuning of conditions and instruments. Crowdsourcing is a strategy supporting the distribution of activities to crowd workers, which suggests that it may be used to support theory testing.  This exploratory study seeks to analyse the adoption of crowdsourcing in theory testing, and to develop guidance for researchers to instantiate the strategy in their research projects.  The study adopts the design science research paradigm to explore incorporating the crowdsourcing strategy in theory testing, and to evaluate its viability and utility. According to the principles of design science research, the study is structured around the construction of several interconnected IS artefacts: 1) a conceptual framework articulating the main principles of theory testing; 2) a pattern model of theory testing, which codifies existing research approaches to theory testing; and 3) a decision tool, which codifies guidelines for researchers making decisions on which research activities to crowdsource.  In order to build the conceptual framework and pattern model, the study conducts a systematic review of theory testing in the IS domain. Both the conceptual framework and pattern model are then operationalized in the decision tool. The utility of the various artefacts is then assessed with the participation of research practitioners.  This study is relevant because it synthesizes knowledge about theory testing, builds innovative artefacts supporting the adoption of crowdsourcing in theory testing, helps academic researchers understanding the theory testing process, and enables them to adopt crowdsourcing for theory testing.</p>

Improving Online Collaboration in Contemporary IT Development Teams

2018 ◽  
pp. 160-178
Author(s):  
Jan Pries-Heje ◽  
Lene Pries-Heje
Keyword(s):  
Social Capital ◽  
Conceptual Framework ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Online Collaboration ◽  
Research Approach ◽  
Development Teams ◽  
Geographically Distributed ◽  
Six Elements

An interview study focusing on online collaboration in geographically distributed IT development teams in Danske Bank revealed seven problem areas. To cope with the problems the authors applied a design science research approach to construct a conceptual framework for improving online collaboration. The conceptual framework combines a six-phase teambuilding model with six elements of social capital. Thus, in each phase of teambuilding, the online collaborators aim at building up all six elements of social capital. The complete six-by-six framework was successfully tried and diffused throughout Danske Bank. This chapter gives an account of the framework content and the results from the evaluation.

Design Science Research Roadmap Model for Information Systems Projects

2018 ◽  
Vol 9 (3) ◽  
pp. 1-19
Author(s):  
Nadhmi Gazem ◽  
Azizah Abdul Rahman ◽  
Faisal Saeed ◽  
Noorminshah A. Iahad
Keyword(s):  
Information Systems ◽  
Small And Medium Enterprises ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Is Research ◽  
Research Activities ◽  
Medium Enterprises ◽  
Almost All

This article contends that design science research (DSR) has emerged as an important approach in information systems (IS) research. The design science research roadmap (DSRR) model describes the process of using the DSR in IS in great detail. Unfortunately, the existing literature does not address the task of demonstrating the use of the DSRR in detail by conducting a real case study. This article aims to examine the implementation of the DSRR with real IS research activities. The construction of a systematic innovation framework to solve problems for small and medium enterprises (SMEs) is used as a case study for demonstration purposes. This article shows that the DSRR provides very useful guidance, since it covers almost all the necessary steps to conduct DSR in the information systems field. The illustrations provided with each step of the DSRR in this article will help other researchers, especially novice researchers, to gain a comprehensive understanding of the use of the DSRR model.

scholarly journals Which technology to which challenge in democratic governance? An approach using design science research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maria Anastasiadou ◽  
Vitor Santos ◽  
Filipe Montargil
Keyword(s):  
Political Participation ◽  
Conceptual Framework ◽  
Information Technologies ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Democratic Governance ◽  
Digital Government ◽  
Content Type ◽  
The Impact

Purpose Information systems (IS) play an important role in contemporary society, but critical questions remain on their potential use and impact on democracy. This study aims to contribute to the discussion on which technology can be adequate to which major challenge of democratic governance, through the identification and pairing of challenges of democratic governance with specific information technologies with the potential to be used in applications related to this challenge. This perspective can be considered positioned in the confluence between IS, political science and public administration. Design/methodology/approach Design science research, a research approach in IS, was used. The suggestion of a conceptual framework with pairs of challenges in democratic governance and information technologies was initially developed. In a subsequent phase, this framework was discussed and assessed through interviews with a panel of selected experts in e-government and IS, reaching a revised conceptual framework. Findings Results suggest that the conceptual pairing of challenges in democratic governance with IS’s solutions such as artificial intelligence, systems integration or blockchain technologies, for instance, if used in a critical, transparent and accountable way, can play a role in capacitating the delivery of better public services and contribute to encouraging citizen trust and political participation. These results may contribute to open a methodological agenda dedicated to the selection of adequate IS resources to address specific challenges of democratic governance, as well as to help in the development of public policies in the area. Originality/value Previous studies on digital government offer important insights on the impact of information and communication technologies-enabled public governance tools for government openness, public service efficiency and user-friendliness, and for citizen political participation and societal mobilization. But the literature still lacks a systematic conceptual framework mapping and assessing the role of distinctive IS instruments in democratic challenge-solving and specifying functional relationships between specific technology and democratic outcomes. This paper aims to contribute to filling this analytical gap.

IoT And Mobile Apps for Pandemic Risk Management during Hajj: Design Science Research (Preprint)

2021 ◽  
Author(s):  
Md. Hoque ◽  
Sami S. Binyamin ◽  
Bassam Abdulwahab Zafar
Keyword(s):  
Risk Management ◽  
Conceptual Framework ◽  
Design Science ◽  
Mobile Apps ◽  
Health Benefit ◽  
Science Research ◽  
Design Science Research ◽  
Mobile App ◽  
Interactive Systems ◽  
Guidance System

BACKGROUND Hajj pilgrims are often affected by the risks of the rapid spread of communicable diseases. Such risks have emerged intensively more than ever before the recent COVID-19 pandemic. The previous study has recommended Hajj surveillance data management systems for efficient control of health risks. As a preventive measure, however, no previous studies have followed Design Science Research Methodology (DSRM) to develop any framework for ultimately developing any interactive technological intervention for pandemic risk management, especially in the context of Hajj. OBJECTIVE The objective of this study was to use a DSRM for developing a framework that would guide the researchers and policymakers in using IoT and mobile apps in combination for pandemic risk management during Hajj. METHODS This study followed the DSRM consisting of three cycles (namely, Relevance Cycle, Design Cycle, and Rigor Cycle). The design science-based framework allows to development of a technological solution (e.g., mobile app) for a problem through a series of actions using expertise and iteration. It takes into account the factors of people, system configurations, technologies, and work environment that interplay together. RESULTS Upon following the DSRM, a conceptual framework has been developed for pandemic risk management during Hajj. The framework would guide the researchers in developing features like 1) path guidance system, 2) advising system, 3) alert system, 4) assistance delivery system, and 5) bigdata and situation analysis system for pandemic risk management at the event of Hajj. Also, in the development process of the conceptual framework, the findings in rigor cycle show that perceived health benefit influences the users in adopting wearable and mobile app use (beta = 0.722, t = 15.98, p=0.000) the most followed by facilitating condition (beta = 0.853, t = 20.29, p=0.000) and social influence (beta = 0.53, t = 8.58, p=0.000) respectively. CONCLUSIONS The design science-based framework will also help the Saudi Arabian government to modernize the country’s current capacity to ensure effective management of pandemic risk services through developing additional modern surveillance techniques and strategies. Furthermore, the development of IoT and mobile app-based interactive systems using this framework will also contribute to big data-based predictive analysis because of the integration of IoT systems which will generate a large amount of useful data.

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