Partial least squares structural equation modeling in HRM research

Abstract

Partial least squares structural equation modeling (PLS-SEM) has become a key multivariate analysis technique that human resource management (HRM) researchers frequently use. While most disciplines undertake regular critical reflections on the use of important methods to ensure rigorous research and publication practices, the use of PLS-SEM in HRM has not been analyzed so far. To address this gap in HRM literature, this paper presents a critical review of PLS-SEM use in 77 HRM studies published over a 30-year period in leading journals. By contrasting the review results with state-of-the-art guidelines for use of the method, we identify several areas that offer room of improvement when applying PLS-SEM in HRM studies. Our findings offer important guidance for future use of the PLS-SEM method in HRM and related fields.     

'The environment matters' and 'designing toward the whole'

A nurse/health care executive/architecture specialist and an artist/designer offer insights to creating environments that effectively support the delivery of care, the wellbeing of patients and their families, and the well-being of the health care workforce. The care environment is more than bricks, mortar, doors, windows, walls, and flooring. It is a sanctuary where healing can take place, where the spirit can be released, and where the provision of care, often fairly intimate, can happen through the connection between patient and care providers. Evidence-based design has brought forth the kind of inquiry and solutions that begin to address what an environment for healing requires. The interaction of built environment, staff, patients, families, and doctors is an overlapping ebb and flow that relies at its heart on the ability to hold all the parts as having equal priority.     

Estimation of tourism demand by multivariable regression analysis Evidence from Kenya

Between 1963 and 1982, tourism was one of the top three domestic exports of Kenya. Knowledge of the variables which significantly Influence Kenyan tourism demand could help tourism policy makers in planning growth strategies. The results of this study indicate that multivariable regression analysis has limited usefulness in identifying the significant factors which influence tourists' decisions. Data problems and resulting multicollinearity cause unsuitable results in one case, while model specification appears to be a problem in another. The author concludes that quantitative studies should be supplemented by qualitative analysis in order for Kenyan policymakers to make optimal decisions.     

The green globe programme: Developing a greener future for travel and tourism

This paper examines the concept of sustainable tourism planning in New Zealand and its relationship to the Resource Management Act. The paper considers the public sector planning responses towards tourism development issues within the context of New Zealand's Resource Management Act, and the ability of these organisations to respond to tourism issues. It argues that the absence of a national vision for tourism is a major constraint on achieving sustainable tourism options at the regional and local level because the Resource Management Act s principles of sustainable planning are not guided by any national policy or strategy. By using a postal questionnaire, the paper provides the first in-depth analysis of planners responses to tourism and their ability to integrate tourism into the planning process within New Zealand. The paper also expands the arguments initially developed by Dredge &; Moore (1992) on the lack of integration in relation to tourism and planning.     

Matching food security and malnutrition indicators: evidence from Southeast Asia

This article aims to understand the relation between household food security and individual undernutrition. The multitude of indicators available raises the question which aspects of food security are captured by the respective indicator. In our analysis, we first assess the relation between the dimensions of food security and households’ socioeconomic characteristics. Second, we examine whether household indicators detect undernutrition in children. Finally, we investigate the role of individual‐specific characteristics for child undernutrition. The analysis is based on a novel data set of 1,200 rural households from Cambodia and Lao PDR, which combines household‐ and individual‐level data. We capture household food security by three indicators including a dietary diversity score, a consumption behavior measure, and an experiential measure. Individual nutrition status is measured via anthropometric indicators. Our results show that different household‐level indicators capture fundamentally different aspects of food security. Moreover, household food security fails to explain stunting for children under five. Dietary diversity indicators, however, explain underweight in children to a small extent. We call for more research on intrahousehold allocation of food and stress the implications of our research for the design and targeting of food and nutrition support programs.     

The Delphi method, impeachment and terrorism: Accuracies of short-range forecasts for volatile world events

Two experiments examined the effects of iterated polling and feedback on prediction accuracy for volatile world events using the Delphi paradigm. In both experiments, participants predicted rapidly changing geopolitical events. The first experiment occurred during the litigation surrounding the Clinton/Lewinsky affair in 1998. Results indicated that feedback improved individual and group accuracy for predictions of whether an event would occur. These types of predictions derived from group consensus were approximately 90% accurate, which was significantly higher than the average individual participant's accuracy. Neither polling nor feedback had much effect on time course predictions. The second experiment occurred during the American military action against the Taliban regime in Afghanistan in 2001. In Experiment 2, participants were polled three times to determine if increasing the number of iterated polls would improve Delphi accuracy. The results showed that accuracy improved from the first to the second poll but not from the second to the third. The groups predicted whether these scenarios would occur with approximately 75% accuracy, which was significantly higher than the accuracy of any individual participant. Once again, the Delphi procedure did not enhance time course predictions in Experiment 2.     

Agent-based model generating stylized facts of fixed income markets

Journal of Economic Interaction and Coordination - We develop an agent-based model (ABM) of a financial market with multiple assets belonging either to the fixed income or equity asset classes. The...     

Overlooked encounters: young tourists' experiences at dark sites

This research note reviews the existing literature comprised of dark tourism articles and chapters mentioning children. Publications meeting the search criteria were few. Accordingly, we offer possible reasons for the scarcity of research on children in dark tourism, including the legal constraints when researching with minors, the academic risk in undertaking a new field of research, and the substantial expertise needed to engage children in studies. We conclude with the compelling reasons to undertake such research: to inform interpretation of emotionally provocative sites for children, to understand and mitigate children's psychological distress at dark sites, and to advance theoretical work on children as tourists.     

Some Variants of Constrained Estimation in Finite Population Sampling

This is a review article that unifies several important examples using constrained optimisation techniques. The basic tools are three simple mathematical optimisation results subject to certain constraints. Applications include calibration, benchmarking in small area estimation and imputation. A final illustration is constrained optimisation under a general divergence loss.