Common method variance: An experimental manipulation

Although common method variance has been a subject of research concern for over fifty years, its influence on study results is still not well understood. Common method variance concerns are frequently cited as an issue in the publication of self-report data; yet, there is no consensus as to when, or if, common method variance creates bias. This dissertation examines common method variance by approaching it from an experimental standpoint. If groups of respondents can be influenced to vary their answers to survey items based upon the presence or absence of procedural remedies, a better understanding of common method variance can be developed. The results of this study supported that common method variance can be manipulated through research design, but not to the same degree for all variables. Further, not all of the proposed remedies resulted in significant changes in the results. In addition, the CFA marker technique was used to determine the extent of common method variance in the data. The results indicated that, while common method variance existed in the data set, it did not do so at such levels as to bias results. Additionally, the results indicated support for the noncongeneric perspective of common method variance in that all items were affected to differential degrees. Taken as a whole, these findings show that while common method variance exists and can potentially cause variance in data, the bias produced is minimal. Further, the results indicate the remedies that are posited to reduce common method variance may be less effective than previous researchers believed

Manipulating Common Method Variance via Experimental Conditions

Research data collected from single respondents may raise concerns regarding common method variance (CMV), which is believed to threaten the validity of findings. The primary concern is that CMV can inflate substantive relationships, such that they appear statistically significant when they are not. Thus, understanding the nature of CMV is critical, especially when one considers the popularity—and sometimes necessity—of using self-report data. Research examining CMV has found conflicting evidence about the impact of CMV. Researchers who believe CMV influences findings have proposed solutions to combat any real or perceived potential bias, including changing survey instructions and using marker variables, but few studies have examined the efficacy of these approaches. The purpose of this study is to examine the impact of these techniques and the nature of CMV using an experimental design. To conduct the experiment, multiple versions of a survey, which vary in their use of the remedial approaches, are utilized to collect data, which resulted in 1,069 usable responses. The experimental design was based on the faking literature and included instructions intended to induce or reduce the levels of CMV. Further, two different marker variables are used to determine the degree to which they create a psychological separation in substantive variables. Correlation analysis and measurement invariance are used to analyze the data. This study posits that, if CMV is a substantial concern for self-report data and these approaches are effective, then findings will differ in surveys that incorporate such approaches from surveys that do not. Results indicate few differences in experimental conditions, meaning that regardless of instructions or marker variable, substantive item correlations remained statistically similar. The results indicate this is likely due to the minimal impact of CMV, given that the proposed methods of correction did not significantly influence research findings. These findings have implications for researchers in that they do not support that CMV, or at least its proposed remedies, significantly alter findings. However, support for the null conclusions, in spite of appropriate statistical power, warrant future research examining the nature and impact of CMV

Data Quality Procedures in Survey Research: An Analysis and Framework for Doctoral Program Curricula

To ensure validity in survey research, it is imperative that we properly educate doctoral students on best practices in data quality procedures. A 14-year analysis of 679 studies in the AIS “Basket of 8” journals noted undercommunication in the most pertinent procedures, consistent across journals and time. Given recent calls for improvements in data transparency, scholars must be educated on the importance and methods for ensuring data quality. Thus, to guide the education of doctoral students, we present a “5-C Framework\u27\u27 of data quality procedures derived from a wide-ranging literature review. Additionally, we describe a set of guidelines regarding enacting and communicating data quality procedures in survey research

Towards a Synthesis of the Guidelines for the Development of Measurement

The 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

Green innovation, indeed a cornerstone in linking market requests and business performance

Many studies uphold market orientation as a key factor in creating and sustaining a firm’s competitive advantage. This research aims to explore this topic further by including within the model the concept of green innovation. In particular, this paper empirically tests the mediating role of green innovation performance in the relationship between market orientation and organizational performance. This study relies on a sample of 145 firms belonging to the Spanish automotive components manufacturing sector. The results obtained by applying Partial Least Squares (PLS) path-modelling, a variance-based structural equations modelling technique, reveal that market orientation exerts a direct impact on organizational performance. Subsequently, we observe how the green innovation performance construct partially mediates the market orientation-organizational performance link. The paper brings some theoretical conclusions and implications for research and practice

Green human resource management and employee innovative behaviour: Does inclusive leadership play a role?

Purpose: This study examines the relationship between green human resource management (green HRM) and employee innovative behaviour. It also investigates the mediating role of job satisfaction to explore the mechanism through which green HRM is related to employee innovative behaviour. Additionally, it examines the moderating role of inclusive leadership to determine the boundary condition of the relationship between green HRM and employee innovative behaviour. Design/methodology/approach: The study used a quantitative research approach using survey and collected 508 responses from full-time employees in Australia. Findings: The authors have found support for all the hypothesised relationships in the study. Specifically, green HRM is positively related to employee innovative behaviour. This relationship is mediated by job satisfaction and accentuated by inclusive leadership. Originality/value: Green HRM promotes a green atmosphere in which employees can contribute to a safer and healthier environment. Despite the increasing attention to green HRM in the management literature, little is known about the mechanisms and boundary conditions explaining employees\u27 responses to green HRM

The role of inclusive leadership in fostering organisational learning behaviour

Purpose: Organisational learning is fundamental in establishing a fearless organisation, creating a competitive advantage and maintaining a sustained growth. While research suggests that leaders can influence organisational learning, there is currently no empirical evidence on how inclusive leadership fosters organisational learning behaviour. Therefore, the purpose of this study is to investigate the relationship between inclusive leadership and organisational learning behaviour. It also seeks to explore the mediating role of psychological safety and climate for initiatives in the mentioned relationship. Design/methodology/approach: The study used a two-wave quantitative examination with 317 respondents. Online survey was used to collect data from randomly selected full-time Australian employees in two times. The data were then analysed using partial least squares structural equation modelling to provide insights. Findings: The study found empirical evidence on the positive association of inclusive leadership and organisational learning behaviour. Moreover, the two mediation paths of psychological safety and climate for initiative were supported for the relationship between inclusive leadership and organisational learning behaviour. Research limitations/implications: The current study contributes to theory by examining the role of inclusive leadership on organisational learning behaviour through two relatively unexplored mediating paths. It suggests how inclusive leadership can create a fearless organisation through fostering learning behaviour within the organisation which empowers organisations to sustain growth. Despite controlling for and assessing endogeneity, due to the cross-sectional design of the study, it is limited in demonstrating causal links. Originality/value: The current study provides empirical evidence on the role of inclusive leadership in fostering organisational learning behaviour through two mediating paths of psychological safety and climate for initiatives. The proposed model sets the ground for future research to further develop insights on positive impacts of inclusive leadership within organisations

Justification of Mass Surveillance: A Quantitative Study

Online mass surveillance by governmental organizations is omnipresent. Even though this results in a loss of privacy and further negative outcomes for individuals, a majority is justifying mass surveillance. Understanding, why this is the case is among others important for individuals, who want to decrease justification of mass surveillance. Therefore, this study aims to uncover the factors that drive this justification. Drawing on system justification theory we consider mass surveillance to be a political arrangement. Five factors were identified that potentially drive individuals’ justification of mass surveillance which are among others, perceived privacy control or perceived security. A quantitative study was carried out and the results support most of our hypotheses. With our results, we contribute to the privacy-related area in the domain of IS, by indicating that individuals consider mass surveillance not necessarily to be bad and by giving advice on how to alter the level of justification