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Digital business models are often designed for rapid growth, and some relatively young companies have indeed achieved global scale. However, despite the visibility and importance of this phenomenon, analysis of scale and scalability remains underdeveloped in management literature. When it is addressed, analysis of this phenomenon is often over-influenced by arguments about economies of scale in production and distribution. To redress this omission, this paper draws on economic, organization, and technology management literature to provide a detailed examination of the sources of scaling in digital businesses. We propose three mechanisms by which digital business models attempt to gain scale: engaging both non-paying users and paying customers; organizing customer engagement to allow self-customization; and orchestrating networked value chains, such as platforms or multi-sided business models. Scaling conditions are discussed, and propositions developed and illustrated with examples of big data entrepreneurial firms.

The chapter estimates the cost of maintaining a child, at different ages, the cost of being single, and the cost of additional adults present in a family, with the aim of making comparable the income levels of different households. The study investigates the issue of econometric identification of equivalence scales within a demand system modified to include demographic characteristics consistently with economic theory. It shows that a robust estimation of equivalence scales must take into formal consideration the problem of econometric identification. The estimate also puts forward all-encompassing demographic specifications to identify costs due to differences in needs, household lifestyles, and economies of scale.

Management and especially strategy research rely heavily on the use of ratios to measure a variety of firm, industry, and societal characteristics. Most often, these ratios are created simply to control for size effects (i.e., scaling) emanating from differences in the size of firms, industries, populations, or national economies on the variables of interest. In addition, ratios may also hold theoretical meaning apart from that of their components. Despite the popularity of ratios and regardless of their purpose, the use of ratios is not without controversy. In particular, several studies have demonstrated that the use of ratio measures in correlations and multiple regressions can exaggerate relations of interest leading to biased and unstable results. In this chapter, I review the debate surrounding the use of ratio measures, discuss the problems for estimation and inference that are likely to arise when ratios are used in statistical estimation, and provide alternatives to the use of ratio variables that still satisfy the purpose for which ratio measures are often created.

This paper reports a new experimental test of the notion that behavior switches from risk averse to risk seeking when gains are “reflected” into the loss domain. We conduct a sequence of experiments that allows us to directly compare choices under reflected gains and losses where real and hypothetical payoffs range from several dollars to over $100. Lotteries with positive payoffs are transformed into lotteries over losses by multiplying all payoffs by –1, that is, by reflecting payoffs around zero. When we use hypothetical payments, more than half of the subjects who are risk averse for gains turn out to be risk seeking for losses. This reflection effect is diminished considerably with cash payoffs, where the modal choice pattern is to exhibit risk aversion for both gains and losses. However, we do observe a significant difference in risk attitudes between losses (where most subjects are approximately risk neutral) and gains (where most subjects are risk averse). Reflection rates are further reduced when payoffs are scaled up by a factor of 15 (for both real and hypothetical payoffs).

To elucidate issues involved in the problem of scale, in particular the relations, analytical and dialectical, among first-person experiences of theorist and theorist’s object-complex of individual actor, group, society, motives and causes, intended and unintended effects, and so forth, as these experiences are manifest in an aesthetics of the judicial moment of perception, and enunciated as first-person accounts directly or indirectly, of third-person accounts, sometimes via explicit but usually via virtual or even vicarious second-person accounting practices.

Discussion begins with some classical formulations by neo-Kantian theorists (Simmel, Durkheim, Weber) regarding relations of “individual and society.” Brief citations of various twentieth century responses to the problem of scale follow. Attention then becomes more intensively focused on the basic problem of first-person experience and accounts with respect to the problem of scale, using Coleman’s “foundations” work as guidepost for navigating issues of effects of cognition, consciousness, and action in still mostly obscure processes of aggregation. This leads to explication of the thesis of “impossible individuality,” in present-day theoretical contexts and in the context of post-Kantian romanticism, with special attention to Hölderlin and the feeling/knowing dialectic, Benjamin’s treatment of temporality with respect to metrics of history, and the question what it means to “theorize with intent.”

The discussion ends with some tentative resolutions and several lacunae and aporia which are integral to the current face of the problem of scale (i.e., processes of aggregation, etc.).

The discussion builds upon the work of many others, with first-person illustrations.

In a supplemental analysis, Krawczyk and Sawyers (1995) (K&S) found evidence that variations in engagement letter language affect the likelihood that taxpayers hold CPAs “responsible” for additional tax assessments, a broad measure of risk. We extend the K&S analysis by examining the effect of engagement letters on a larger set of precisely-defined tax practice risks. Our factor analysis identifies two risk constructs relating to client loss and reimbursement. MANCOVA shows that engagement letters reduce the likelihood of incurring both categories of risks. Also, some evidence suggests that higher-income participants are greater tax practice risks, and subjects with external loci of control represent higher client loss and reimbursement risks. Finally, we find that engagement letters reduce the percentage of professional fees subjects request as reimbursements following an unfavorable IRS audit and that prior legal suits, gender, age, and income level also may affect the fee reimbursement requested.

This chapter investigates productivity and cost patterns in the all-cargo US air transport sector. We empirically test the productivity growth influence of changes in unexplained technology, air operations movement characteristics, and factor input prices. Findings show productivity trends depicting negative growth for the 1993–2001 sample, then shifting measurably such that productivity trends depict positive growth for the 2002–2014 sample. The post 2001 growth was fueled by changes in unexplained technological advancements. We interpret this finding as an indication of the importance of technological innovation as a performance enhancer in this transport sector. Findings also reveal a lack of productivity change associated with changes in input prices and movement characteristics. We interpret input price findings as indicating increases in factor input prices such as wages and fuel prices are commensurate with enhanced labor and fuel productivity. The movement characteristic findings are attributable to a lack of sustained increases in load factors, stage length, network size and carrying more volume over the network (density).

Organizational performance improves through several channels, including changes in efficiency, innovation and technological change. Most of the extant research has focused on overall performance, often measured by partial measures of productivity, with little attention given to the components of performance. The aim of this paper is to analyze the impact of HR practices and unionization on one important channel – organization efficiency - as measured by technical and scale efficiency. Using French industry survey data, the paper shows that HR practices do influence efficiency, but this is moderated by the existence of unions. The results show a rather complex set of associations. We find robust results that show that in France, HR practices have a positive effect on scale efficiency but this effect is dampened in the presence of unions. On their own, HR practices have no effect on technical efficiency. However, some of the results suggest that HR practices can exert a positive influence when combined with unions.

In this chapter, we analyzed the effects of internationalization on innovation, productivity, and firm performance among multinational pharmaceutical companies as representatives of a global knowledge-based industry. The empirical analysis used multiple stepwise regressions based on a sample of 149 firms headquartered in Europe and the US. The results indicate that innovation outcomes are positively correlated to the number of foreign subsidiaries (scope internationalization), whereas surprisingly, formal research and development (R&D) does not seem to directly influence innovation. This suggests that the firms benefit from local overseas subsidiaries to create and implement new innovative offerings. The number of foreign subsidiaries has a U-shaped relationship to patent productivity suggesting that firms can gain advantages by locating cost-intensive activities in low-cost countries and critical tasks in advanced market locations. Firm performance has a U-shaped relationship to sales abroad (scale internationalization) and the relationship is further enhanced by a high focus on R&D. This suggests that sales abroad enable scale economies, where R&D improves quality and relevance of products and thereby boosts performance. Finally, to validate the findings we conducted two semi-structured interviews with representative industry experts and gained further insights for an extended interpretation of results.

This chapter investigates how international trade affects pollution using annual data from 34 Asian countries for the period 1970–2019. Following the work of Antweiler, Copeland, and Taylor (2001), the authors divide the impact into three effects – scale, technique, and composition effects. The scale of economic activity drives pollution demand. The technique effect reflects increased willingness to bear the costs of abating pollution as a country gets more prosperous because of increased international trade. International trade changes the composition of output in a country and therefore the level of pollution as different goods are produced with different pollution intensities. This is called the composition effect. This chapter measures pollution using carbon dioxide emissions (metric tons per capita) obtained from the United States Energy Information Administration. This study estimates a regression model that provides estimates of the magnitudes of trade’s impact on pollution as per the aforesaid three effects. The authors find that the scale and the composition effects of pollution are positive, but the technique effect is negative, and that the net effect is negative (international trade leads to a lower level of emission) when the underlying model is linear, but it is positive (international trade leads to a higher level of emission when non-linearities are considered).