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The overall goal of science is to build a valid and reliable body of knowledge about the functioning of the world and how applying that knowledge can change it. As personnel and human resources management researchers, we aim to contribute to the respective bodies of knowledge to provide both employers and employees with a workable foundation to help with those problems they are confronted with. However, what research on research has consistently demonstrated is that the scientific endeavor possesses existential issues including a substantial lack of (a) solid theory, (b) replicability, (c) reproducibility, (d) proper and generalizable samples, (e) sufficient quality control (i.e., peer review), (f) robust and trustworthy statistical results, (g) availability of research, and (h) sufficient practical implications. In this chapter, we first sing a song of sorrow regarding the current state of the social sciences in general and personnel and human resources management specifically. Then, we investigate potential grievances that might have led to it (i.e., questionable research practices, misplaced incentives), only to end with a verse of hope by outlining an avenue for betterment (i.e., open science and policy changes at multiple levels).

Limited facilities operating and modernization budgets require organizations to carefully identify, prioritize and authorize projects to ensure allocated resources align with strategic objectives. Traditional facility prioritization methods using risk matrices can be improved to increase granularity in categorization and avoid mathematical error or human cognitive biases. These limitations restrict the utility of prioritizations and if erroneously used to select projects for funding, they can lead to wasted resources. This paper aims to propose a novel facility prioritization methodology that corrects these assessment design and implementation issues.

A Mamdani fuzzy logic inference system is coupled with a traditional, categorical risk assessment framework to understand a facilities’ consequence of failure and its effect on an organization’s strategic objectives. Model performance is evaluated using the US Air Force’s facility portfolio, which has been previously assessed, treating facility replicability and interruptability as minimization objectives. The fuzzy logic inference system is built to account for these objectives, but as proof of ease-of-adaptation, facility dependency is added as an additional risk assessment criterion.

Results of the fuzzy logic-based approach show a high degree of consistency with the traditional approach, though the value of the information provided by the framework developed here is considerably higher, as it creates a continuous set of facility prioritizations that are unbiased. The fuzzy logic framework is likely suitable for implementation by diverse, spatially distributed organizations in which decision-makers seek to balance risk assessment complexity with an output value.

This paper fills the identified need for portfolio management strategies that focus on prioritizing projects by risk to organizational operations or objectives.

To explore the appropriateness of statistical significance testing to measure the practical, managerial significance of outcomes in marketing programmes.

An in‐depth analysis of SST's scientific roots is coupled with delineation of a set of general objectives of marketing‐programme measurement to identify the applicability limits of significance testing.

In particular, it is shown that the relatively well known sample‐size dependence of SST and its somewhat lesser known replicability, representativeness and impact fallacies can severely affect the robustness of significance tests. Statistical significance is not the same concept as practical significance.

Comprehensive discussion of principles and practice leads to a set of prescriptive usage recommendations, directed at the goal of establishing much‐needed applicability rules and limits for the use of significance‐testing methodologies in an applied marketing context.

This robust challenge to the efficacy of significance testing in marketing practice should be of interest to any marketing planner concerned with the collection and use of marketing intelligence.

Outside influences affect the progression of research in any discipline, including accounting. These influences offer one explanation for problems of replicability or comparability to previous studies, a common concern today. This article examines “who” participates in behavioral experiments and surveys involving accountants. This issue is important because of nontrivial differences in the composition of those in the accounting profession (and thus, participants in subject pools) over approximately 50 years of behavioral accounting research. Based on the theory of individual differences, we explore whether differences in the population of accounting research participants through the years could impact the replication or comparability of current-day research to earlier studies.

Our reading of available literature suggests that our profession has become more diverse in terms of gender and country of origin and that the oft-referenced characteristics of the millennial generation may also represent a distinct difference from previous generations of accountants. We discuss instances in which this changing nature of our profession, and thus our research population, could have implications for current-day behavioral accounting research.

The purpose of this paper is to integrate existing body of knowledge on evidence‐based management, develop a theory of evidence, and propose a model of evidence‐based decision making.

Following a literature review, the paper takes a conceptual approach toward developing a theory of evidence and a process model of decision making. Formal research propositions amplify both theory and model.

The paper suggests that decision making is at the heart of management practice. It underscores the importance of both research and experiential evidence for making professionally sound managerial decisions. It argues that the strength of evidence is a function of its rigor and relevance manifested by methodological fit, relevance to the context, transparency of its findings, replicability of the evidence, and the degree of consensus within the decision community. A multi‐stage mixed level model of evidence‐based decision making is proposed with suggestions for future research.

An explicit, formal, and systematic collaboration at the global level among the producers of evidence and its users akin to the Cochrane Collaboration will ensure sound evidence, contribute to decision quality, and enable professionalization of management practice.

The unique value contribution of this paper comes from a critical review of the evidence‐based management literature, the articulation of a formal theory of evidence, and the development of a model for decision making driven by the theory of evidence.

Over the years, there have been calls for the integration of the Igbo Traditional Business School (I-TBS) into the contemporary entrepreneurship space, especially in Africa, to scale up entrepreneurial activities. The I-TBS model has demonstrated prominence in influencing entrepreneurial culture, skills transfer, start-up support mechanisms, enterprise success and sustainability; however, its reliability and replicability are often questioned. Among a myriad of issues, lack of comprehensive documentation that isolates the merits as well as demerits, is a concern. An understanding of I-TBS’ validity, reliability, replicability and compatibility are others. As a result, it has been difficult to accord the model the needed recognition. This desktop review chapter, is an effort to contribute to the improvement of the model, synthesise its strengths, weaknesses, opportunities, and threats with specific reference to the Igba-Boi entrepreneurship scheme. The Atlas-ti v8 software was used in the synthesis. Based on the review, attributes such as togetherness and solidarity in business, free transfer of skills, upholding entrepreneurial culture which are passed from generation to generation and building family/social ties were key strengths of the model. The weaknesses come in the form of lack of regulations to monitor irregularities, inappropriate contractual method and the abuse of mentees. Openings for interested individual to access training, assurance for start-up capital and partnership/collaboration options were key opportunities. False accusations of mentees, breaching settlement agreement, unfair dismissal of mentee, and lack of solid ground for justice, are the major threats. It is expected that these findings will form the basis for further research and policy actions to improve the model.

This paper describes the development and implementation of a modular school building design prototype to support “build back better” after the disaster. The purpose of this paper is to bridge the gap between the two standard practices of post-disaster reconstruction: the quickly temporary construction and the permanent solution with longer time to complete.

The modular school design prototype was developed based on three design criteria established to achieve a relatively quick construction with good quality as a post-disaster permanent solution. The prototype was implemented in Kerandangan Village, Lombok and evaluated to review its compliance with the design criteria.

Three design strategies were proposed to respond to the main design criteria: the use of modular units and components, the material durability and availability, and the “plug-and-play” configuration system. Through these strategies, the prototype demonstrated the ability to perform as a permanent solution to be implemented in a short time. The prototype evaluation suggests some possible improvement to ensure a more efficient process and further replicability.

The development of the modular design bridges the gap between temporary and permanent approach for post-disaster school reconstruction. The highlighted criteria and the proposed design strategies contribute to the “build back better” attempt by providing better learning experiences for children through a replicable modular design that could be flexibly adapted to various local contexts.

Inconsistent research output makes critical literature reviews crucial tools for assessing and developing the knowledge base within a research field. Literature reviews in the field of supply chain management (SCM) are often considerably less stringently presented than other empirical research. Replicability of the research and traceability of the arguments and conclusions call for more transparent and systematic procedures. The purpose of this paper is to elaborate on the importance of literature reviews in SCM.

Literature reviews are defined as primarily qualitative synthesis. Content analysis is introduced and applied for reviewing 22 literature reviews of seven sub‐fields of SCM, published in English‐speaking peer‐reviewed journals between 2000 and 2009. A descriptive evaluation of the literature body is followed by a content analysis on the basis of a specific pattern of analytic categories derived from a typical research process.

Each paper was assessed for the aim of research, the method of data gathering, the method of data analysis, and quality measures. While some papers provide information on all of these categories, many fail to provide all the information. This questions the quality of the literature review process and the findings presented in respective papers.

While 22 literature reviews are taken into account in this paper as the basis of the empirical analysis, this allows for assessing the range of procedures applied in previous literature reviews and for pointing to their strengths and shortcomings.

The findings and subsequent methodological discussions aim at providing practical guidance for SCM researchers on how to use content analysis for conducting literature reviews.

The purpose of this paper is to define the Internet as a virtual space supported by technologies and presented in the form of socioeconomic relations from the perspective of political economy. The Internet space is a unique virtual commodity different from ordinary commodities and has the following effect characteristics: super replicability, space- and time-transcendence, open-source shareability and reality–virtuality transformation.

Internet space can also be imagined as a piece of virtual land. Internet space can be deemed as a piece of virtual land and its value can be divided into labor value and virtual value. The pricing model of virtual value is mainly determined by the gain and discount rate and this value comes from the transfer and markup of social value. In the context of the Internet Plus era, Internet space has become an essential economic factor that influences human economic activities.

Therefore, it is of practical significance and theoretical value to introduce Internet space as an economic variable into the framework of economic theory. The realistic logic of Internet space is to influence human economic behaviors with the combination of information binding.

The theoretical mechanism is to have an impact on the micro-market price by changing market relations from two-dimensional to three-dimensional. Its path to functioning at the macro level is to influence economic behaviors by changing the expectations of investment and consumption, resulting in new economic trends.

This study aims to focus on assessing the psychometric properties necessary to validate the internal structure of the TOURQUAL scale.

A quantitative research study was conducted in collaboration with the Brazilian Network of Tourism Observatories, comprising 927 respondents surveyed between October 2021 and May 2022. The data analysis involved the application of descriptive statistics and exploratory factor analysis, in alignment with the principles outlined in the Standards for Educational and Psychological Testing 2014 to validate the scale.

The findings of this study validate the TOURQUAL scale as a robust tool for assessing the perceived quality of tourist services, with results demonstrating one-dimensionality and replicability.

To the best of the authors’ knowledge, this study is the first to assess the psychometric properties for validating the internal structure of the TOURQUAL scale.