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This paper aims to examine the prevalence and trend of experimental research in hospitality and tourism. Hospitality and tourism researchers have long been encouraged to increase their use of experimental designs. However, a solid support for such advocacy is lacking, and the present paper fills in this research gap.

By using a systematic approach, this study reviews 161 tourism and hospitality articles and conducts content analysis based on certain criteria including journal outlets, Social Sciences Citation Index journals, years of publication, contexts, disciplinary foci, experimental designs, settings, number of independent variables, number of studies per article, manipulation methods, manipulation check, research subjects, sample size, subjects per experimental condition, statistical analyses and provision of effect size. The criteria between hospitality and tourism publications are also compared.

Findings show that the number of experimental publications has significantly increased over the past decade, especially in hospitality publications. Nonetheless, there is still room for improvement in applying the experimental design in hospitality and tourism research.

Researchers in hospitality and tourism are recommended to report manipulation check results and the effect size of statistically significant results, as well as to devote more effort to knowledge accumulation and methodological advancement of experimental designs.

This study is the first to review experimental research in hospitality and tourism. The findings of this study provide significant implications and directions for hospitality and tourism researchers to conduct experimental research in the future.

Based on previous inventories, the purpose of this paper is to extend the knowledge on public administration experiments by focusing on their experimental type, design, sample type and realism levels and external validity. The aim is to provide an overview of experimental public administration and formulate potential ways forward.

The authors examine the current state of experimental public administration, by looking at a systematic selection of ISI ranked experimental publications in major public administration journals (1992-2014) and recommend ways forward based on this review.

The review indicates a rise in experimentation in public administration in recent years, this can be attributed mostly to some subfields of public administration. Furthermore, most experiments in public administration tend to have relatively simple designs, high experimental realism and a focus on external validity. Experimental public administration can be strengthened by increasing diversification in terms of samples, experimental designs, experimental types and substantive scope. Finally, the authors recommend to better utilize experiments to generate usable knowledge for practitioners and to replicate experiments to improve scientific rigour.

This paper contributes to experimental public administration by drawing on a systematic selection of papers and assessing them in depth. By means of a transparent and systematic selection of publications, various venues or ways forward are presented.

Human lab experiments have become an established method in information systems research for investigating user behavior, perception and even neurophysiology. The purpose of this paper is to facilitate experimental research by providing a practical guide on how to implement and conduct lab experiments in the freely available experimental platform Brownie.

Laying the groundwork of the tutorial, the paper first provides a brief overview of common design considerations for lab experiments and a generic session framework. Building on the use case of the widely used trust game, the paper then covers the different stages involved in running an experimental session and maps the conceptual elements of the study design to the implementation of the experimental software.

The paper generates findings on how computerized lab experiments can be designed and implemented. Furthermore, it maps out the design considerations an experimenter may take into account when implementing an experiment and organizing it along a session structure (e.g. participant instructions, individual and group interaction, state and trait questionnaires).

The paper reduces barriers for researchers to engage in experiment implementation and replication by providing a step-by-step tutorial for the design and implementation of human lab experiments.

This paper covers different types of research designs, like, longitudinal, cross-section and sequential design, experimental design (including factorial experimental design), and correlational design, with illustrative examples. This paper will help a scholar to know how choice of research design depends on a number of parameters, highlighted by author.

This article presents how to use the technique of experimental design in developing a new product ‐ an extrusion press. Using experimental design has significantly reduced the time needed to develop the extrusion press and improved the quality of the new product. This clearly demonstrates that experimental design is an efficient technique for new product development. To ensure success when undertaking experimental design in new product development, there are some prerequisites which have to be taken into account. These include, for example, the need for a better understanding of customer requirements and expectations, a carefully planned design, and sound knowledge in the subject‐matter. It may be suggested that an experimental design similar to the one presented in this article can also be used for developing other new products.

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.

The purpose of this paper is to address misconceptions about the design of experiments (DoE) usefulness, avoid bad practices and foster processes’ efficiency and products’ quality in a timely and cost-effective manner with this tool.

To revisit and discuss the hindrances to DoE usage as well as bad practices in using this tool supported on the selective literature from Web of Science and Scopus indexed journals.

A set of recommendations and guidelines to mitigate DoE hindrances and avoid common errors or wrong decisions at the planning, running and data analysis phases of DoE are provided.

Errors or wrong decisions in planning, running and analyzing data from statistically designed experiments are always possible so the expected results from DoE usage are not always 100 percent guaranteed.

Novice and intermediate DoE users have another perspective for developing and improving their “test and learn” capability and be successful with DoE. To appropriately plan and run statistically designed experiments not only save the user of DoE from incorrect decisions and depreciation of their technical competencies as they can optimize processes’ efficiency and products’ quality (reliability, durability, performance, robustness, etc.) in a structured, faster and cheaper way at the design and manufacturing stages.

DoE usefulness will be increasingly recognized in industry and academy and, as consequence, better products can be made available for consumers, business performance can improve, and the link between industry and academy can be strengthened.

A supplemental perspective on how to succeed with DoE and foster its usage among managers, engineers and other technical staff is presented.

The purpose of this paper is to demonstrate the power of experimental design as a technique to understand and evaluate the most important factors which influence teaching effectiveness for a postgraduate course in a higher education (HE) context.

The methodology involves the execution of a case study in the form of an experiment in a business school setting. The experiment was carried out with the assistance of over 100 postgraduate students from 26 countries. The data were collected over a two year period (2015 and 2016) from a postgraduate course offered by the same tutor for repeatability reasons.

The key findings of the experiment have clearly indicated that students’ perceptions of teaching effectiveness based on intuition and guesswork are not identical to the outcomes from a simple designed experiment. Moreover, the results of the experiment provided a greater stimulus for the wider applications of the technique to other processes across the case study HE sector.

One of the limitations of the study is that the experiment was conducted for a popular postgraduate course. It would be beneficial to understand the results of the experiment for less popular postgraduate courses in the university in order to drive improvements. Moreover, this research was conducted only for postgraduate courses and the results may vary for undergraduate courses. This would be an interesting study to understand the differences in the factors between undergraduate and postgraduate teaching effectiveness.

The outcome of this experiment would help everyone who is involved in teaching to understand the factors and their influences to improve students’ satisfaction scores during the delivery of teaching.

This paper shows how experimental design as a pure manufacturing technique can be extended to a HE setting.

The purpose of this paper is to extend two‐dimensional sequential uniform design and present three‐dimensional sequential uniform design which can optimize the problem of determining the extreme value of three‐factor polynomial.

Since there are limitations in two‐dimensional sequential uniform design, three‐dimensional sequential uniform design introduced in this paper is to arrange the experimental points by U₉(9³) uniform design table and to determine the maximum of the experimental values according to the demand. It is proven that the convergence of the experimental central point's sequence and that it can optimize the problem of determining the extreme value of no‐cross term quadratic polynomial monotone function class and the corresponding conditions are also proven. Taking the no‐cross term quadratic polynomial monotone function as an example, the superiority of it is testified.

Three‐dimensional sequential uniform design can optimize the problem of determining the extreme value of three‐factor polynomial. It can get higher precision and better convergence but do fewer experiments than general uniform design.

A very effective method in resolving the problem of selecting optimum on multi‐dimensional space.

A new method of three‐dimensional sequential uniform design which can get higher precision and better convergence is presented.

We discuss how experimental analysis can be integrated into strategic human resources management (SHRM) research in Africa so as to develop theory and value principles to guide executives.

The model we propose – experiment-based SHRM – is predicated on the use of experimental approaches to demonstrate the value of SHRM and to derive principles that guide research and practice in Africa.

We illustrate how scholars can conduct experiments from an SHRM perspective.

We discuss the strengths and limitations of the model and suggest ways of maximizing its potential.

The technique is a resource for scholars of SHRM in Africa. They can use it to supplement other approaches for studying SHRM.

This chapter discusses a typology of experimental analysis. The lack of such a typology in the context of Africa makes it a valuable contribution. Thus, it fills a contextual gap in the SHRM research methodology literature. It can therefore help graduate students and junior faculty improve their research.