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This chapter describes a research study in which data about the uses of Facebook by higher education students were gathered simultaneously with measurements of a set of psychological dimensions (personal and collective self-esteem, self-concept, general self-efficacy, satisfaction with social support and with academic life, and several aspects of academic experiences: interpersonal, career, institutional, personal and course satisfaction). The final result of the study is a path model inspired on the structural model proposed by Mazman and Usluel (2010) in which the psychological variables that have a significant influence on the academic use of Facebook were incorporated. A positive total effect of identity collective self-esteem in the educational use of Facebook was found and a negative total effect was found for public collective self-esteem in the educational usage of Facebook (EUF). Institutional adaptation proved to have a significant positive total effect on students’ willingness to use Facebook for educational purposes. Satisfaction with life was not a direct predictor of the educational use of Facebook. However, it was a direct predictor of the use of Facebook for work-related purposes, which was the strongest predictor of educational use of Facebook. Therefore, although the effect of satisfaction with life in the educational use of Facebook was only indirect, it was nevertheless positive and statistically significant.

Scalar terms, such as “local” and “global,” “big” and “small” are fundamental in how academics and practitioners make sense of and respond to grand challenges. Yet, scale is so taken-for-granted that we rarely question or critically reflect on the concept and how it is used. The aim of this paper is to identify scale as an important concept in research on grand challenges and to point out why taking scale for granted can be problematic. In particular, I suggest that to date most research on grand challenges sees scale as a fundamental ontological feature of the world. Yet, scalar categories and hierarchies are not as self-evident and given as they may seem. Moreover, taking scale as an ontological fixed category limits our ability to make sense of, theorize and respond to grand challenges. As an alternative, I suggest seeing scale as an epistemological frame that participants employ in their everyday practices to make sense of, navigate and develop solutions to grand challenges. The chapter concludes with a research agenda for studying scale as socially constructed in practice.

Purpose: This chapter aims to enlighten the stakeholders on the role and contribution and the issues and challenges of large-scale industries in the wake of the globally unified economies.

Need for the study: Large-scale industries are one of the pillars of any nation and can exercise an immense impact on the numerous facets of the economy of any country. Their role and contribution can benefit all the stakeholders, especially in today’s integrated and interdependent world economies. Hence, there is an absolute need to highlight the issues and challenges and suggest measures to overcome them to promote a resilient global economy.

Methodology: The study gathered data from secondary sources like textbooks, articles, and the internet.

Findings: The findings of the study state that large-scale industries are enormous contributors to employment creation, development of the economy, growth of revenue, research and development (R&D) and innovation, export promotion, and infrastructure. The significant challenges include regulatory compliance, workforce management, economic volatility, political instability, supply chain management, environmental compliance, and technology and infrastructure.

Protectionism, deregulation, public–private partnership, privatisation, and environmental regulation are significant government decisions that affect large-scale industries. The study identifies tax incentives, easy access to financing, and domestic and international trade policies to safeguard large-scale industries’ interests.

Practical implications: Large-scale industries contribute towards the growth of global economic resilience in terms of employment generation, technological advancements, and innovation, fostering international trade in today’s interconnected world.

Purpose: This literature review aims to answer the calls for further exploration of scaling challenges and opportunities for social entrepreneurs (SEs). We address the scaling issue of social entrepreneurship through the theoretical lens of sustainable business models. Methodology: This paper investigates, on a multilevel approach, 340 journal articles published in one of the 20 peer-reviewed journals in management, entrepreneurship, CSR, organizational behavior, and nonprofit. It also considers influential articles due to their relatively high citation count (i.e., more than 150 times) outside of those selected journals. This paper furthermore analyses in-depth 32 scaling articles. Findings: This study positions the topics of social entrepreneurship over the last decades, together with the six types of scaling strategies: scaling up, scaling down, scaling across, scaling deep, scaling out, and diversification. It also discusses 15 challenges related to the scaling efforts by SEs. It furthermore elaborates on potential leads for research and practice regarding scaling social impact. Social Implications: There are many pathways for SEs to increase their impact on society, even though it remains quite challenging to achieve for most. Understanding what possibilities or limitations apply to individual SEs is but a first step in developing the full potential of social entrepreneurship. Originality: This paper approaches scaling from three complementary levels of analysis, i.e., individual, organizational, and institutional. Thus we provide more clarity and a nuanced perspective on past and future research regarding scaling challenges and opportunities.

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.

This paper examines the impact on German personal income distribution of income-dependent (variable) equivalence scales. The use of variable equivalence scales causes distinctive increases in income inequality compared with income-independent, constant equivalence scales. The narrowing of income limits between the upper and lower income regions also leads to an increase in income inequality.

Purpose – A major limitation in cross-cultural research continues to be attempts to compare construct measurements across cultures without adequate conceptual and empirical evidence of the equivalency of the measurement scores. Of significant concern in such studies is the presence of various types of response bias that may systematically differ from one culture to another, resulting in a potential violation of the assumption that measurement scores across cultures are equivalent. The focus of this study is to investigate the role of the response format type, extreme response style (ERS). Most studies have investigated response bias styles using Likert-type scales as response formats, yet it has long been argued that these particular formats tend to result in various types of response style bias, especially in cross-cultural research. Would other scaling devices, such as semantic differential (SD), lessen response style bias in pan-cultural studies? To answer this question, our study employs two types of response formats (i.e., Liker-type and SD) to empirically test for the presence of ERS within each response format style.

Methodology/approach – This chapter takes the form of empirical research using ERS indices to test for the degree of ERS between response formats using samples from a collectivistic culture (i.e., South Korea) and an individualistic culture (i.e., United States).

Findings – Results show that samples from both cultures exhibit greater levels of ERS when using Likert-type scales compared to SD scales. Additionally, this study finds that, when using Likert-type scales, ERS is greater for U.S. respondents than for South Korea respondents. Finally, results show that there is no statistically significant difference in ERS between the two cultural groups when using SD response formats.

Research implications – Findings show that the use of SD response formats eliminates systematic differences in ERS between a collectivist sample and an individualist sample. Therefore, the use of such response formats in future cross-cultural research can greatly diminish the problematic effects of culturally based ERS and lead to greater confidence in the equivalency of measurement scores across cultures.

Originality/value of paper – This study is the first to simultaneously assess culturally based ERS using two types of response formats to investigate the impact of response format on ERS. Furthermore, this study assesses the role of response format on ERS both within and between two distinctly different cultures.

Purpose – The purpose is to present item response theory (IRT) as a promising approach to deal with theoretical and methodological challenges which may not be adequately addressed with linear factor analysis (LFA) techniques.

Approach – We address this limitations and present IRT's approach to counteracting these difficulties. We further present two IRT models in greater detail and make a theoretical comparison between these models and LFA techniques. Then, we illustrate how IRT is applied in practice by analyzing a scale of trust by an IRT and an LFA approach and comparing their results.

Practical implications – Scale properties may vary among countries because some items may function differently in different contexts. Moreover, a scale's reliability depends on the value of the latent variable being assessed, which implies that the scale may discriminate better among certain ranges of the latent trait than among others. The theory we hereby present offers a more adequate approach to dealing with these issues than extant LFA methods.

Originality/value – This chapter presents a methodology of recognized value in other fields of knowledge into the field of strategy and international business, thereby advancing the methodologies available for doing research in these domains.

This paper extends organizational ecology by making an attempt to disentangle the consequences of scale and scope economies for organizational survival under different product market configurations. We test our hypotheses by analyzing the mortality rates of 643 UK motorcycle producers during the 1899–1993 period. The findings obtained offer two specific contributions. First, by separating the performance impact of scale from scope economies we clarify the complex mechanisms behind the survival consequences of different organizational strategies. Second, we show how the intensity of both scale and scope forces is relative to the aggregate market-level product configuration. The implications of these findings for organizational ecology and strategic management, and their cross-fertilization, are further discussed.