A mixed-method approach to assess users' intention to use mobile health (mHealth) using PLS-SEM and fsQCA

PurposeDespite the enormous potential of mobile health (mHealth), identifying the asymmetric relationship among the predictors towards intention to use (ITU) of mHealth tends to remain unresolved. This study aims to investigate the predictors and their asymmetric effects on ITU of mHealth through patients and healthcare professionals.Design/methodology/approachAn integrated information systems (IS) model with four additional constructs has been developed to analyze symmetric and asymmetric effects on ITU of mHealth. An exploratory survey on 452 mHealth users with prior experience was conducted to evaluate the model using a mixed-method approach including partial least squares-based structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) technique.FindingsThe findings show that facilitating conditions, personal awareness building, perceived enjoyment, effort expectancy and perceived usefulness have predictive power for ITU of mHealth. In contrast, fsQCA reveals four more alternative solutions, including the main drivers explored by PLS-SEM. The results indicate that various conditions that were not crucial in PLS-SEM analysis are shown to be sufficient conditions in fsQCA.Research limitations/implicationsThis study contributes to theory by integrating self-actualization factors (i.e. personal awareness building, patients as decision support unit) into the IS model. And practically, this study makes an essential contribution to users' ITU of mHealth, enabling relevant stakeholders to build strategies to implement mHealth successfully.Originality/valueWhile mHealth has revolutionized healthcare and the prior literature only showed linear relationships, this empirical study revealed asymmetrical relationships among the determinants of ITU of mHealth. Thus, this study extends to the growing body of literature on the use of mHealth technology in the least developing nation.

A Methodological Literature Review on the Internationalisation of Higher Education

This chapter aims to critique the methodologies of studies conducted in the field of the internationalization of higher education. The authors of this chapter selected nine articles and presented the commonalities between them and how their tools determined the findings. The authors first evaluated three articles that implemented a qualitative approach. Then they evaluated three articles that implemented a quantitative approach. Finally, the authors examined studies investigating higher education's internationalization through a mixed-method approach. The authors provide critiques, guidance, and insights into the procedural correctness on how the selected articles could be conducted better in the future.

Fostering Imagined Economies on Twitter

Startups are entrepreneurial organisations that aim to develop a scalable and disruptive business. However, these small ventures operate in an environment of extreme uncertainty. The startup economy takes place in the present but is directed towards the future. This chapter critically investigates in online and offline realms the circulation of imagined futures that create causal links to bridge the gap between the present economic scenario and potential futures in the Italian startup food economy. This work adopted a mixed-method approach framed in a qualitative exploratory strategy which was designed to integrate qualitative techniques and digital methods. This work concludes by highlighting the co-evolutionary process between online and offline realms. On the one hand, online narratives allow economic actors to perform in radical uncertain economic contexts, while, on the other hand, the offline practices give legitimacy and credibility to these potential future scenarios.

Designing a PhD Proposal in Mixed Method Research

This chapter reviews the challenges and advantages of writing a mixed method research (MMR) proposal. The argument put forward is that a mixed method approach overcomes the shortcomings of the commonly used qualitative and quantitative methods. A brief definition of a research proposal is followed by a discussion on the different interpretations of a mixed method and what makes mixed methods ideal in the proposal example that follows. A mixed method can be either one that utilizes qualitative and quantitative methods to different degrees or it can be regarded as a distinct method by itself. A mixed method is suitable where both different types of data can be collected, when the data adds value to what would be achieved using one approach and where cost also justifies it. A hypothetical case example where an application is being made to conduct an evaluation of an anti-truancy program is presented.

Developing Theoretical Underpinnings for Nursing Workaround Research Using a Mixed Method Approach

The use of health information technology (HIT) in acute care had an unexpected impact on nursing workflow. It often took a nurse extra steps or extra time to complete a process once documentation and medication administration was automated. In response to HIT problems, nurses developed workarounds. Research on workarounds has been hindered by a lack of variable definitions and research models. This paper presents results of a mixed methods study that proposes definitions for workarounds, associated variables and a multi-level model.