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The purpose of this study is to review the literature on strategic management in Africa with special emphasis on how strategy constructs have been measured and present a roadmap to help improve strategy research in Africa.

A content analysis of empirical research on strategic management published in journals using data from Africa from 2000 to 2013 is conducted to examine construct measurement practices.

The findings indicate that the average sample sizes in strategy research in Africa is not large as strategy research in general, and have low statistical power. While the studies rely heavily on single-indicator measures, there were also several studies using scale or multiple measures that report reliabilities.

Limitations of the research include small number of studies used, inability to examine journal effects’ of the findings due to few numbers of papers from many of the journals, and lack of examination of the influence of the context and topical areas of the articles on the use of the construct measurement techniques.

The study provides information about the use of construct measurement techniques and power analysis in strategy research in Africa. It further encourages the use of larger sample sizes, the examination of power, and more focus on variables which allow the assessment of reliabilities and validity.

Little is known about construct measurement practices of the empirical research in and about Africa in the discipline of strategic management. This chapter builds on extant research on construct measurement issues in strategic management research, but with the unique value-added contribution of focusing on the African environment where the discipline is beginning to take hold.

Nowadays, informed decision-making is catching up. Technological advancements and computing ability further fuel and facilitate this tilt toward informed decision-making. In such a scenario, data is cynosure. Therefore, the ability to gather data by a nation (incredibly accurate public data) becomes equally important and relevant, as measured by statistical performance indicators (SPI). This study aims to explore the association of financial inclusion (FI); environmental, social and governance (ESG); poverty; and SPI.

The panel data of 140 nations for nine years are gathered to explore the association of FI, ESG and poverty with the SPI. Panel data estimation is conducted to arrive at the results.

The findings of this study highlight mixed outcomes for FI. ESG is positively associated with SPI, but poverty is not associated with SPI. These findings imply that an increase in FI may reduce the statistical capacity of the nations. An increase in ESG increases the capacity. However, change in poverty does not influence the SPI. The recommendation based on this study’s outcome suggests auditing the FI and poverty vis-à-vis SPI to ensure SPI’s veracity and robustness in the long run.

The way in which the individual social, economic and environmental indicators influence the SPI needs to be tested to establish the veracity and robustness of the SPI, which is barely researched as observed in the literature.

While quantification and performance measurement have proliferated widely in academia and the business world, management and organization scholars increasingly agree on the need for a more in-depth focus on the complex dynamics embedded in the construction, use and effects of quantitative measures (pertaining to the thread of research called ethnostatistics). This paper develops a pluralistic method for conducting ethnostatistical research in organizational settings. Whilst presenting practical techniques for conducting research in live settings, it also discusses how historical approaches which focus on source criticism and contextual reconstruction could overcome the limitations of ethnostatistics.

The methodological approach of this paper encompasses an in-depth discussion of the ethnostatistical method, its underlying assumptions and its methodological limitations. Based on this analysis, the authors propose a pluralistic method (model) for conducting ethnostatistical research in organizational settings based on the integration of 1) research practices employed by one of the authors conducting ethnostatistical research in a large multinational organization and 2) best practices from ethnographic and historical research.

This paper suggests how historical approaches can successfully join ethnostatistical enquiries in an attempt to overcome some limitations in existing conventional methods. The developed framework explores four levels of analysis (ethnography, statistics at work, rhetoric of statistics and history of statistics) and suggests practical approaches for each level that can contribute to strengthening the research output and overcoming limitations when using ethnostatistics.

This paper contributes to the ethnostatistical field by discussing the intersection between history and ethnography and the ways for their complementary use in organizational and management research on quantification processes. As such it offers unique insights and hands-on experience from conducting ethnostatistical enquiries in live organizational settings.

This article concerns the process of conducting a machine qualification (or process capability) study. It presents the results of a research project undertaken to investigate the shortcomings inherent in the typical team approach to machine qualification, and to design a comprehensive computer system to overcome these shortcomings. The article begins with a discussion of the steps involved in a qualification study, pointing out that inefficiencies and inaccuracies often arise due to the heavy time and statistical burden placed on the study team. The functionality and the features of the PC‐based computer system developed in the research are described. Numerous screens are provided to illustrate these features. Finally, a synopsis is given of the primary benefits of the system, as well as its limitations.

Considers the basis for measurement of performance in assisting Facilities managers. Objectives regarding this must be based on both objective and subjective data and consider both services and the general working environment.

The purpose of this paper is to describe the creation and deliberate positioning of a new Bachelor of Commerce program at MacEwan School of Business, Canada, by formally integrating professional skills in the curriculum. Through institutional narratives and statistical measurements, the authors detail the process from the first broad conversation and the different phases of the institutional deliberations to a measurement of students’ development of professional skills and self-confidence through the eyes of student peer coaches.

The paper explains the institutional thinking process and the inputs that were sought when creating the new Bachelor of Commerce program with integrated professional skills. Hard data were collected on student peer coaches’ development of professional skills through a scale for assessing managerial competencies for undergraduate business students. In addition, coaches’ development of peer-coaching self-confidence was measured. This allows for the correlation between the two constructs self-confidence and professional skills development to be measured.

The formal implementation of professional skills and peer-coaching of professional skills in the Bachelor of Commerce program showed to be effective in furthering students’ development of professional skills and self-confidence. Also, this study illustrates the need for deliberate and systematic planning, and the inherent differentiating opportunities, when creating a new degree program.

This paper encourages institutional positioning initiatives and presents insights into the training of large cohorts of undergraduate business in their acquisition of professional skills.

The purpose of this study is to investigate the impacts of interval measured data, rather than traditional point data, on economic variability studies.

The study uses interval measured data to forecast the variability of future stock market changes. The variability (interval) forecasts are then compared with point data‐based confidence interval forecasts.

Using interval measured data in stock market variability forecasting can significantly increase forecasting accuracy, compared with using traditional point data.

An interval forecast for stock prices essentially consists of predicted levels and a predicted variability which can reduce perceived uncertainty or risk embedded in future investments, and therefore, may influence required returns and capital asset prices.

A major problem facing social work educators and students, as well as practitioners and policy formulators, is that of finding valid statistical data on social welfare and social work. As social work moves in the direction of becoming an empirically‐based profession, it will no doubt place a greater emphasis on the use of such data.

To find the root of the problem for compulsive buying behavior of students in the digital era by exploring psychological factors such as materialism, self-esteem, self-control, narcissism, money attitude and mood as boosters of the effect of income on compulsive buying behavior.

The unit of analysis in this research was a group of students having experience using e-commerce. The data collection method in this study was a closed questionnaire with a scale of 1–5 agree–disagree intervals distributed to 250 students who have shopping experience through e-commerce. WARP-PLS statistics was used.

The study shows that self-esteem and mood do not moderate the effect of income on compulsive buying behavior. Meanwhile, materialism, narcissism, self-control and money attitude can significantly moderate the effect of income on compulsive buying behavior.

That the data used is only limited to students in Central Java Province; so for future research, it is necessary to expand data to different provinces or different countries. This research has implications that the synthesis between mainstream conventional economic thought and behavioral economics can be tested well in this model.

This study is proof of the synthesis between conventional and behavioral economic thought, which is a solution to the contradiction of the neoclassical paradigm of thought and behavioral economic thought in understanding consumer behavior, especially in compulsive buying behavior.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2019-0652

This paper presents an evaluation and discussion of total quality management (TQM), focusing on its origin, measure, and implementation into a specific industry (managed care). It will further show the significance of the nursing profession when looking how to successfully join the two concepts together. The results of this paper will effectively demonstrate that the implementation of TQM into managed care reveals a higher level of quality and customer satisfaction.