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To address three issues of survey-based methods (i.e. the absence of behaviors, the reference inequivalence, and the lack of cross-cultural interaction), the purpose of this paper is to explore the potential of using the behavioral experiment method to collect cross-cultural data as well as the possibility of measuring culture with the experimental data. Moreover, challenges to this method and possible solutions are elaborated for intriguing further discussion on the use of behavioral experiments in international business/international management (IB/IM) research.

This paper illustrates the merits and downside of the proposed method with an ultimate-game experiment conducted in a behavioral laboratory. The procedure of designing, implementing, and analyzing the behavioral experiment is delineated in detail.

The exploratory findings show that the ultimate-game experiment may observe participants’ behaviors with comparable references and allow for cross-cultural interaction. The findings also suggest that the fairness-related cultural value may be calibrated with the horizontal and vertical convergence of cross-cultural behaviors (i.e. people’s deed), and this calibration may be strengthened by incorporating complementary methods such as a background survey to include people’s words.

The behavioral experiment method illustrated and discussed in this study contributes to the IB/IM literature by addressing three methodological issues that are not widely recognized in the IB/IM literature.

Middle managers’ intrapreneurial actions can be a powerful source of organizational adaptation and strategic renewal. Better understanding what drives such intrapreneurial actions is important, yet requires data, which allows testing directional claims. For example, whereas autonomy and supportive leadership might be antecedents to such intrapreneurial behavior, it equally seems possible that firms delegate more autonomy to individuals behaving entrepreneurially (rather than being “lazy”) or that senior managers are more inclined to show support for individuals engaging in entrepreneurial action. Lagged or longitudinal survey evidence to test whether autonomy and leadership support are antecedents of intrapreneurship or consequences, is – like for many other questions in research on strategic responsiveness – hard and expensive to collect. Vignette experiments (also called factorial surveys or conjoint studies) may be a way out – especially when combined with cross-sectional evidence. The present chapter illustrates this approach by studying the relations among autonomy, supportive leadership, and intrapreneurship by means of a vignette experiment and a cross-sectional field survey. The findings suggest that autonomy and supportive leadership are indeed antecedents to intrapreneurial behavior and illustrate the value of vignette experiments for research on strategic responsiveness.

We discuss the following three themes on the use of field experiments to study economic development: (1) We summarize the arguments for and against using experiments to gather behavioral data in the field; (2) We argue and illustrate that field experiments can provide data on behavior that can be used in subsequent analyses of the effect of behavioral social capital on economic outcomes; and (3) We illustrate that field experiments can be used as a development tool on their own to teach communities about incentives and strategic interaction.

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.

This paper reviews the current literature on theoretical and methodological issues in discrete choice experiments, which have been widely used in non-market value analysis, such as elicitation of residents' attitudes toward recreation or biodiversity conservation of forests.

We review the literature, and attribute the possible biases in choice experiments to theoretical and empirical aspects. Particularly, we introduce regret minimization as an alternative to random utility theory and sheds light on incentive compatibility, status quo, attributes non-attendance, cognitive load, experimental design, survey methods, estimation strategies and other issues.

The practitioners should pay attention to many issues when carrying out choice experiments in order to avoid possible biases. Many alternatives in theoretical foundations, experimental designs, estimation strategies and even explanations should be taken into account in practice in order to obtain robust results.

The paper summarizes the recent developments in methodological and empirical issues of choice experiments and points out the pitfalls and future directions both theoretically and empirically.

This paper tests whether employers responded particularly negatively to African American job applicants during the deep U.S. recession that began in 2007. Theories of labor queuing and social closure posit that members of privileged groups will act to minimize labor market competition in times of economic turbulence, which could advantage Whites relative to African Americans. Although social closure should be weakest in the less desirable, low-wage job market, it may extend downward during recessions, pushing minority groups further down the labor queue and exacerbating racial inequalities in hiring. We consider two complementary data sources: (1) a field experiment with a randomized block design and (2) the nationally representative NLSY97 sample. Contrary to expectations, both analyses reveal a comparable recession-based decline in job prospects for White and African American male applicants, implying that hiring managers did not adapt new forms of social closure and demonstrating the durability of inequality even in times of structural change. Despite this proportionate drop, however, the recession left African Americans in an extremely disadvantaged position. Whites during the recession obtained favorable responses from employers at rates similar to African Americans prior to the recession. The combination of experimental methods and nationally representative longitudinal data yields strong evidence on how race and recession affect job prospects in the low-wage labor market.

The paper's aim is to illustrate the use of a technique that can help researchers choose which techniques, and at what level, to employ in an internet‐based survey.

A screening experiment, designed as a Plackett‐Burman design, is used to study main effects of 11 techniques for increasing survey response. Three measures of effect used are click rate, completion rate, and response rate. A convenience sample of students at a large university in New Zealand is used.

Follow‐up had significant impact on click rate; incentive and pre‐notification had a significant impact on completion rate; no technique had significant effect on response rate.

Main effects are examined. Also, a limited number of approaches for each technique are studied.

This paper illustrates the use of a methodology that researchers, practitioner, and academics alike, can use to select techniques to employ in an internet survey. This is the first known application of the technique for selecting data collection techniques in marketing.

This study proposes and demonstrates a novel approach to analyzing customer channel preferences and willingness-to-pay (WTP) in the dual sales channel (DSC) system involving direct online channels and conventional offline retailers, and to how the pricing decisions are made under specific game competition.

Questionnaire survey based on central composite experiment design was utilized to obtain primary data. The model for customer channel preferences and WTP was then built by using multinomial logistic regression. The propensity of a customer to make purchases in either channel estimated by using the logit model was inserted in the bilevel programming model to formulate and solve for the Stackelberg competition where the conventional retailer acted as a leader.

The study found that channel prices have nonlinear impacts on WTP and channel preference. The empirical results complement the mathematical formulation well where high-order own-price and cross-price effects on channel selection are generally not analytical tractable. Under the Stackelberg competition, the traditional retailer (as the leader) still achieves higher profits than the online facility.

The proposed framework provides an empirical approach that can easily address the competition model in the sales channel when complicated own-price or cross-price effects are present.

The present work provides a novel approach to analyze customer preference and WTP of the DSC systems. This alternative method simplifies the procedure for investigating and estimating price sensitivity, especially when the online and offline prices affect customer WTP and channel preferences nonlinearly. This model is also utilized in the game competition to facilitate data-driven price decision making to better formulate and understand real-world DSC problems.

This study aims to describe the development of hospitality research in terms of research methods and data sources used in the 2010s.

Content analyses of the research methods and data sources used in original hospitality research published in the 2010s in the Cornell Hospitality Quarterly (CQ), International Journal of Hospitality Management (IJHM), International Journal of Contemporary Hospitality Management (IJCHM), Journal of Hospitality and Tourism Research (JHTR) and International Hospitality Review (IHR) were conducted. It describes whether the time span, functional areas and geographic regions of data sources were related to the research methods and data sources.

Results from 2,759 original hospitality empirical articles showed that marketing research used various research methods and data sources. Most finance articles used archival data, while most human resources articles used survey designs with organizational data. In addition, only a small amount of research used data from Oceania, Africa and Latin America.

This study sheds some light on the development of hospitality research in terms of research method and data source usage. However, it only focused on five English-based journals from 2010–2019. Therefore, future studies may seek to understand the impact of the COVID-19 pandemic on research methods and data source usage in hospitality research.

This is the first study to examine five hospitality journals' research methods and data sources used in the last decade. It sheds light on the development of hospitality research in the previous decade and identifies new hospitality research avenues.