32 research outputs found
Valid Construct Measurement Using Multiple Models
Get PDFInvalid measurement of constructs in survey research often remains undetected and can lead to false conclusions. An important determinant of a construct’s measurement validity is how it is modeled. A construct can often be modeled in different ways, such as the sum of its parts or the cause of its effects. Since each of these models is associated with a unique set of errors, the common practice of specifying only a single model undermines validity. Current guidelines on measurement have not focused on how better validity can be achieved by comparing and combining multiple models. In this paper we provide a framework for the development and use of multiple models. This, we hope, would lead researchers view their construct of interest from different perspectives and thus measure it more validly
Towards a Synthesis of the Guidelines for the Development of Measurement
Get PDFThe emergence of FinTech companies has drawn much speculation about their potential to disrupt incumbent financial institutions and take as much as 20% of their earnings by 2020. While time will tell about these predications, one emerging reality is that FinTech is creating a new ecosystem where the structure has incumbents, start-ups and tech firms forming alliances, partnerships, and investments. This paper investigates how Australian banks are assessing and developing initiatives within the FinTech ecosystem. We draw from the concepts of sensing and responding to analyse more than 3000 news articles, reports, and press releases covering the period 2008-2014 from four Australian Banks. Within the limitations of the method, our findings indicate that Australian Banks are actively embracing FinTech by creating mechanisms for inbound FinTech knowledge flows, monitoring and facilitating FinTech activities of start-ups, crowd-sourcing FinTech ideas, launching hubs to encourage internal FinTech innovations, modernizing their platforms with the adoption of technologies commonly associated with startups and investing in Fintech start-ups. These findings indicate banks’ continuous adaptive behaviour and open avenue for future research
Specifying the Software Project Risk Construct
Get PDFThis paper conceptualizes software project risk in terms of risk exposure and defines it as an aggregate multidimensional construct comprised of four interrelated dimensions: risk sources, risk events, risk management mechanisms, and expected outcomes. The paper also theorizes about relationships between the four dimensions. Furthermore, it argues that the risk factors identified in the literature could be systematically categorized using the proposed construct. The specification is derived from a review of 20 years of software project risk literature – from 1989 to 2009 and on a semantic decompositional analysis of software project risk definitions. The proposed construct conceptualization helps demarcate between the often intertwined behavioural factors and project attributes recognized risk factors in the literature pertaining to software project risk. By identifying the dimensions of risk and their interrelationships, the suggested specification should help improve the construct’s explanatory and predictive power
How to Tie a Construct to Indicators: Guidelines for Valid Measurement
Get PDFInvalid measurement of constructs in information systems research often remains un-detected and can lead to false conclusions. The prescriptive literature on measurement has led to a better understanding of the sources of error in various areas, including con-ceptual modeling, common method bias, and estimation procedures. It has also called for heterogeneity in indicators to overcome sources of error associated with each indicator specifically. It has not led, however, to widespread measurement practice that takes these separate insights into account. This paper aims to facilitate this by integrating insights from the literature. It complements extant guidelines on the development of measurement with a typology of the ways to tie a construct to its indicators. It demonstrates the recommendations with an empirical illustration. This, I hope, will lead researchers adopt more heterogeneous indicators, allowing them to measure their constructs with better confidence in validity
The Development of IT Suspicion as a Construct and Subsequent Measure
Get PDFSuspicion has not been studied in great depth; however, a conceptual understanding of suspicion is no less important than many of the other highly studied constructs related to healthy working relationships. Information technology (IT) is one area where suspicion study is lacking, and this research effort was a study into the specific domain of IT suspicion. An extensive study of the suspicion literature and the suspicion nomological net as well as informal surveys of the general populous and subject matter experts were used to create an IT suspicion conceptual definition and measure. In order to test IT suspicion’s relationships with other more established constructs a survey was created. The final pilot study consisted of two measures from suspicions nomological net, locus of control and disposition to trust, a trait IT suspicion measure, a manipulation exercise on a laptop computer intended to induce suspicion, and finally a state suspicion measure. Analysis indicated IT suspicion is a multi-dimensional construct, with independent state and trait properties. It also has separate dimensions within the state and trait components. Comparisons between the components of the IT suspicion construct and related measures indicated a negative correlation between state suspicion and locus of control
