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The purpose of this paper is to conduct a critical review of the mediation studies published in the field of Human Resource Development (HRD) to discern if the study designs, the nature of data collection and the choice of statistical methods justify the causal claims made in those studies.

This paper conducts a critical review of published refereed articles that examined mediation in Human Resource Development Quarterly, Human Resource Development International, Advances in Developing Human Resources and European Journal of Training and Development. Mediation studies published in these journals from 2000 to 2015 were identified and coded. The four journals sampled were chosen to provide breadth of coverage of the different types of empirical studies published in the field of HRD.

The review findings imply that HRD scholars are not employing experimental or longitudinal designs in their studies when randomized experiments and longitudinal studies with at least three waves of data collection are regarded as the golden standards of causal research. Further, the findings indicate that sophisticated statistical modeling approaches like structural equation modeling are widely used to examine mediation in cross-sectional studies and most importantly, a large number of such studies do not acknowledge that cross-sectional data does not allow definite causal claims.

Although the findings urge us to rethink the inferences of mediation effects reported over the past 15 years in the field of HRD, this study also serves as a guide in thinking about framing and testing causal mediation models in future HRD research and even argues for a paradigm shift from a positivist orientation to critical and postmodern perspectives that can accommodate mixed methods designs for mediation research in HRD.

This paper presents a critical review of the trends in examining mediation models in the HRD discipline, suggests best practices for researchers examining the causal process of mediation and directs readers to recent methodological articles that have discussed causal issues in mediation studies.

The purpose of this paper is to survey the research methods employed in the extant environmental accounting literature, finding few experimental studies. The need for more experimentation in the literature is discussed, as well as how experiments' unique methodological advantages can help address important environmental accounting issues. These issues culminate in a proposed model for conducting experimental environmental accounting research.

A synthesis of the environmental accounting literature emphasizes the research methods, and, advantages and disadvantages of each method, as well as why and how experimental designs can contribute to the environmental accounting literature. Finally, the paper proposes and analyzes a framework for conducting environmental accounting experiments.

Experiments can provide unique contributions to the environmental accounting literature. Relative to traditional accounting information, environmental accounting information comprises lower levels of user familiarity which may hinder effective processing of these non‐traditional data. These characteristics make the organizational display of these data, and their combination with non‐environmental metrics, a particular and unique concern. The proposed model considers the impact of environmental strategy on the implementation of environmental information systems, which in turn influences evaluation effectiveness of decisions based on environmental accounting information. Stakeholder influences, management communication of environmental issues, and evaluation scales also influence these relationships.

The model assumes environmental information generates from within the entity (i.e. private firms, public agencies, etc.). Future research can enhance and/or modify the framework to include information design and capture from non‐entity end‐users (e.g. stakeholders), as well as empirically test the model's relationships.

The framework provides factors to consider to design more effective environmental accounting information systems. Also, the model's factors should aid researchers in developing robust experimental designs for environmental accounting studies.

This is the first paper to propose a framework for conducting experimental environmental accounting research.

Mediating effects are often tested using hierarchical multiple regression (HMR) procedures. Typical of the HMR-based strategies is the very frequently cited and widely used procedure described by Baron and Kenny (1986). Unfortunately, there are several important problems with it. More specifically, as we demonstrate below, it: (a) is of virtually no value for buttressing claims of mediating effects for data from non-experimental research; (b) produces erroneous inferences about the existence of mediating effects for misspecified mediation models; and (c) is incapable of providing credible evidence of such effects in a large proportion of cases, even for properly specified mediation models. We detail a number of important implications of our analyses.

This study aimed to examine whether the use of wiki-systems in healthcare internship courses that adopt a problem-based learning approach may have significant influences on the relationships among students' relationship commitment, knowledge-sharing behavior and perceived problem-based learning performance in the context of higher education.

This study adopted a quasi-experimental approach. Cross-sectional survey data collected from 187 undergraduate students in Taiwan were used for the data analysis procedures. The students in the experimental group used wiki-systems and a set of information and communication technologies as learning tools, while the students in the control group used the same set of information and communication technologies only. The statistical techniques of independent t-tests and component-based structural equation modeling were adopted to examine the research hypotheses.

The results reveal significant differences between the experimental and control groups concerning relationship commitment, knowledge-sharing behavior, independent study and active participation. However, there was no significant difference between the two groups regarding group interaction and reasoning skills. Additionally, all the hypotheses regarding the relationships among constructs were supported.

Wiki-systems have unique features that can enhance the effectiveness of problem-based learning activities. This study is among the first to investigate how wiki-systems may affect the effectiveness of problem-based learning processes by investigating the relationships among healthcare students' relationship commitment, knowledge-sharing behavior and perceived problem-based learning performance. The results of this study can advance the current understanding of the effectiveness of wiki-based problem-based learning in the context of healthcare education.

The research aims to identify the effectiveness of using the blended learning strategy on achievement among students of higher colleges of technology in the United Arab Emirates (UAE), through the answer to the following question: Is there a statistically significant difference at the significance level (a = 0.05) in students' achievements in general studies courses at higher education attributed to the method of teaching (blended learning, traditional).

The research applied a Quasi-experimental. The current research used two groups experimental group and controlled group across two phases: pilot study and experimental study. Phase 1 examined the difference between the pilot group and the nonpilot group at Sharjah colleges across three different courses: Fundamentals of Applied Mathematics, Professional Communication and Reporting and Basic Research Methods during the spring semester 2019 at Sharjah colleges. Phase 2 examined the difference between the experimental group (using blended learning during summer 2019) and the controlled group (learned the same courses during summer 2018) across three different courses and the same three courses.

There is no statistically significant difference at significance level (a = 0.05) in students' achievements in the Fundamentals of Applied Mathematics (LSM 1000) course between the experimental and controlled groups. There is a statistically significant difference at significance level (a = 0.05) in students' achievements in the Professional Communication and Reporting (LSC 1103) in favor of the experimental group course at higher education attributed to the method of teaching (blended learning, traditional). There is no statistically significant difference at significance level (a = 0.05) in students' achievements in the Basic Research Methods (LSS 1123) between the experimental and controlled groups.

1. The study is limited to students of Higher Colleges of Technology in the UAE. 2. The study is limited to the General Studies Department at Higher Colleges of Technology. 3. The achievement test used in the study is a standardized test developed by the college.

This research considered the first research to discuss the effectiveness of using blended learning where three teaching strategies are combined together (normal face-to-face classes, flipped classroom and online face-to-face classes) in students' achievement at higher education in the UAE.

Seeking to build an objective scientific approach to psychiatry, American psychiatrists, physiologists, and psychologists began to turn to the conditional reflex method of Ivan Pavlov from the late 1920s. The generation of “neurotic” animals in the laboratory was critical to the emergence of a new experimental psychiatry in the United States. To understand the development of this field of research, the chapter will draw first on Mary Morgan’s identification of the mediatory and intermediary role of models and their ability to surprise and generate new questions, and second, upon her recent work on narratives in science. It will argue that it was through discursive and descriptive techniques that traced over time the tangled and interconnected lives of experimental subjects, that such elements of unpredictability in the animal laboratory were transformed into tools of research and put to disciplinary uses, promoting the clinical relevance of this new objective approach to psychiatric medicine.

The purpose of this paper is to focus the application of design of experiments (DOE) using industrial equipments, reinforcing idea that non‐statistical aspects in planning and conducting experiments are so important as formal design and analysis.

Two case studies are presented to illustrate typical industrial applications and difficulties. Supported on these case studies and literature, this paper presents guidelines to planning, conducting and analysis involving technical and organizational aspects.

Solving problems in industry, including in companies recognized as competent in the respective industrial sector, is not just a question of applying the right technique. Ceramic industry case study illustrates how important are non‐statistical issues in DOE application. Paint industry case study illustrates the strong relationship of the results with incorporating presented guidelines into practice. Moreover, both case studies consolidating a fundamental advantage of DOE: experimentation provides more knowledge about products, processes and technologies, even in unsuccessful case studies.

Unsuccessful cases studies are very useful for identifying pitfalls and others limitations. This paper highlight difficulties aroused from non‐statistical aspects, although it is possible to find unsuccessful case studies due to statistical issues also. So, papers illustrating inadequate application of statistical techniques are welcome.

Successful DOE implementation depends on statistical and non‐statistical aspects. Although none of them shall be neglected, technical skills and technological knowledge about processes and products, management understanding of potential possibilities of statistical techniques and statistical fundamentals and knowledge about techniques of DOE must be ensuring to successful case studies in industrial setting.

This paper highlights non‐statistical aspects instead of the statistical ones. Tob overcome difficulties structured guidelines were designed to support DOE application in industrial setting.

The purpose of this paper is to argue that the time is ripe to establish a powerful tradition in Experimental International Business (IB). Probably due to what the Arjen van Witteloostuijn refers to as the external validity myth, experimental laboratory designs are underutilized in IB, which implies that the internal validity miracle of randomized experimentation goes largely unnoticed in this domain of the broader management discipline.

In the following pages, the author explains why the author believes this implies a missed opportunity, providing arguments and examples along the way.

Although an Experimental Management tradition has never really gained momentum, to the author, the lab experimental design has a very bright future in IB (and management at large). To facilitate the development of an Experimental IB tradition, initiating web-based tools would be highly instrumental. This will not only boost further progress in IB research, but will also increase the effectiveness and playfulness of IB teaching.

Given the high potential of an Experimental IB, the Cross-Cultural and Strategic Management journal will offer a platform for such exciting and intriguing laboratory work, cumulatively contributing to the establishment of an Experimental IB tradition.

Tests of assumed mediation models are common in research in many disciplines, including managerial psychology, industrial and organizational psychology, organizational behavior, and organizational theory. Thus, the purpose of this paper is to detail experimental design options for conducting such tests in a manner that has the potential to yield results that have high levels of internal and construct validity.

The paper presents a logical analysis of strategies for testing mediation models so as to insure valid inferences about causal relations between variables.

The most appropriate strategy for testing assumed mediation models is research that uses randomized experimental designs.

Managers should base their actions on valid evidence about phenomena. More specifically, managerial actions should be predicated on research results that have high levels of internal, construct, and statistical conclusion validity. Thus, this paper encourages managers to base decisions about organizational policies and practices on well‐designed experimental research.

This paper addresses a number of points about issues involving internal and construct validity in tests of assumed causal models that have not been covered in previous work.

Companies are starting to capitalize on the potential of experimental economics as a decision-making tool. Hewlett-Packard (HP) is one of such pioneering companies. Experiments, conducted at HP Labs, were used to test retailer contract policies in three areas: return, minimum advertised-price (MAP), and market development funds. The experimental design models the multifaceted contemporary market of consumer computer products. While the model is quite complex, participants were found to be effective decisions-makers and that their behavior is sensitive to variations in policies. Based on the experimental results, HP changed its policies; for example, it made the consequences for minimum advertisement price violations forward-looking as well as backward-looking. This line of research appears promising for complex industrial environments. In addition, methodological issues are discussed in the context of differences between business and academic economics experiments. Finally, the author speculates about potential future business applications.