Search results

The economics literature on gender has expanded considerably in recent years, fueled in part by new sources of data, including from experimental studies of gender differences in preferences and other traits. At the same time, economists have been developing more realistic models of psychological and social influences on individual choices and the evolution of culture and social norms. Despite these innovations, much of the economics of gender has been left behind, and still employs a reductive framing in which gender gaps in economic outcomes are either due to discrimination or to “choice.” I suggest here that the persistence of this approach is due to several distinctive economic habits of mind – strong priors driven by market bias and gender essentialism, a perspective that views the default economic agent as male, and an oft-noted tendency to avoid complex problems in favor of those that can be modeled simply. I also suggest some paths forward.

This paper investigates the strategic behavior of algorithmic trading firms from an innovation economics perspective. The authors seek to uncover the sources of competitive advantage these firms develop to make markets inefficient for them and enable their survival.

First, the authors review expected capability, a quantitative behavioral model of the sustainable, or reliable, profits that lead to survival. Second, they present qualitative data gathered from semi-structured interviews with industry professionals as well as from the academic and industry literatures. They categorize this data into first-order concepts and themes of opportunity-, advantage- and meta-seeking behaviors. Associating the observed sources of competitive advantages with the components of the expected capability model allows us to describe the economic rationale these firms have for developing those sources and explain how they survive.

The data reveals ten sources of competitive advantages, which the authors label according to known ones in the strategic management literature. We find that, due to the dynamically complex environments and their bounded resources, these firms seek heuristic compromise among these ten, which leads to satisficing. Their application of innovation methodology that prescribes iterative ex post hypothesis testing appears to quell internal conflict among groups and promote organizational survival. The authors believe their results shed light on the behavior and motivations of algorithmic market actors, but also of innovative firms more generally.

Based upon their review of the literature, this is the first paper to provide such a complete explanation of the strategic behavior of algorithmic trading firms.

The purpose of this paper is to re-visit social construction of technology (SCOT) framework in understanding of innovation in the construction sector and unpack the role of innovation brokers in this context.

This is a conceptual paper adopting SCOT framework to understand innovation in the context of the construction sector. The role of innovation brokers is unpacked in the paper, currently under-explored in the construction innovation studies.

The authors suggest SCOT framework as a useful overarching frame through which to understand construction innovation. The authors argue that innovation brokers should be positioned to oversee the interface of multiple social groups.

Further empirical research is proposed to test the theoretical assumptions outlined in the paper. The research agenda is to conduct further empirical research adopting a socio-technical theoretical lens and appropriate qualitative or mixed-design methodologies. There are other socio-technical theoretical frameworks that could be used to explore socio-technical interactions in different ways, e.g. socio-technical systems theory, sociomateriality, actor-network theory, etc.

Three propositions are developed regarding the position of an innovation broker from the perspectives of multi-social-groups interfaces, shifting significance of the roles of innovation broker and the collaboration with government.

The authors outline the value of SCOT framework for innovation study within project-based construction sector. The authors contribute to better understanding of the role of innovation brokers in the system of construction innovation.

In light of the data economy, data protection law is a key legal element for being able to leverage data-driven innovation and is often regarded as a limitation for businesses and service design. Contrasting this traditional view, this chapter argues why designing with privacy in mind is a win-win situation, not only, but especially in the context of data-based services. On the backdrop of new regulations around the globe setting incentives, we show how research in the domain of usable privacy can be leveraged to embed innovative privacy features for customers into digital services as competitive advantage. Building upon these insights, we argue that a well-designed privacy and/or data protection process should be a key element for customer experience management.

This paper aims to investigate the curvilinear effects of firms’ market learning on radical innovation and the moderation effects of the focal firms’ horizontal ties and vertical ties.

This study uses regression analysis with the survey data from 303 Chinese firms.

Explorative/exploitative market learning has an inverted U-shaped/U-shaped effect on radical innovation. The effects of explorative market learning on radical innovation increase when firms have strong horizontal ties, but decrease when firms have strong vertical ties. The opposite is true for the effects of exploitative market learning.

This study uses unilateral data to examine the moderation effects of the focal firms’ vertical and horizontal ties on the market learning-radical innovation links. Future research that conducted in the dyadic-paradigm would be preferable to test the generalizability of this research and address the potential changes.

The value of the current study centers on its integrated framework that incorporates organizational learning theory and the social network perspective to account for radical innovation. The integrative view helps us to interpret the curvilinear effects of market learning on radical innovation and outlines the moderation mechanisms of horizontal ties and vertical ties.

This paper uses the theory of planned behavior (TPB) to explain entrepreneurial intentions (EIs) among students from different South-East (SE) European countries, considering various personal and situational variables. The authors examine how the regional cultural context affects individual perceptions and beliefs about entrepreneurship, which in turn form the basis of the cognitive antecedents of the TPB model.

Using a sample of 850 respondents, the authors estimate a two-level model, addressing the issue of endogeneity in the relationship between attitudes and beliefs and the respondents' EI. Specifically, the authors focus on heterogeneity across nations in attitudes toward entrepreneurial behavior (ATEB), subjective norms (SN) and perceived behavioral control (PBC).

The results show that the perceived behavioral control and the attitude toward entrepreneurial behavior are the main determinants of Balkan students' EI. The authors find that the role of SE European culture in entrepreneurship intentions does not follow the Western pattern. In this particular regional environment dominated by collectivist culture, students' EIs are influenced more by cooperation, caring for others and other non-monetary benefits.

Like any study, this study has limitations. First, all the variables were measured using a single questionnaire. Although common method bias was shown not to be an issue, in future research different variables should be measured with different methods. For instance, using the items by Liñán and Chen (2009) which were developed in the United States of America, to measure SE European students' entrepreneurial perceived behavioral control might ignore some requisite resources or abilities typical for SE European students, such as personal relational network (similar to the notion of guanxi in China (see, e.g. Hwang et al., 2009). Second, Busenitz et al. (2000) indicate that cross-national differences in entrepreneurship are best explained by a broader set of institutions, i.e. educational and governmental support agencies. In general, the empirical evidence on the relationship between national culture and entrepreneurial behavior is mixed and this is generally agreed that an important issue that needs to be considered is the interactions between cultural values, social institutions, industry characteristics and outcomes such as entrepreneurship (Hayton et al., 2002). In the future, similar studies could include respondents with a larger dispersion of prior education, age, and human, social and financial capital.

The existence of support received in the family environment and the lack of individualistic and competitive aspirations create a more favorable environment for a young person to become entrepreneur. This must be taken seriously into account by educators and policy makers aiming at encouraging entrepreneurship, because in the societies studied here the motivation of prospective entrepreneurs depends on totally different drivers than those usually encountered in the Western world. Furthermore, from a gender perspective, the authors' study suggests that in societies with stronger family ties and more gender discrimination, an individual's closer social environment may not create the appropriate context for women to decide to become entrepreneurs.

A strong hierarchical culture in a society goes against the intention of becoming an entrepreneur. That is, when people accept that social mobility is low and, thus, reversing people's relative positions in the society is unlikely, people are less prone to becoming entrepreneurs. In Western societies, where collectivism is low, the contrary holds. In the societies considered here, where family and social links are strong, entrepreneurship is considered to be a rather safer option, which is encouraged by non-individualistic values and is negatively associated with aggressive competitiveness. In those societies, formal institutions such as the government and the educational sector could play an important role to support prospective female entrepreneurs (Borges et al., 2021).

The motivation of prospective entrepreneurs in SE European countries depends on totally different drivers than those usually encountered in the Western world.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

Financial technology innovation within the developed world is driving financial markets, yet its adoption is lagging among consumers in emerging markets. At the same time, most African economies continue to be at the tail end of global financial innovations adoption. Given lagging consumer adoption of cryptocurrency in South Africa, the purpose of this paper is to apply the theory of planned behaviour (TPB) to predict behavioural intention to adopt cryptocurrency.

A survey instrument based on the TPB was used to collect quantitative data for predicting adoption from adult distance students at the Mancosa, Cape Town campus. For data analysis, the two-step structural equation modelling approach was used.

The findings indicate that attitude and perceived behavioural control positively impact the intention to adopt cryptocurrency. Subjective norm showed a negative non-significant influence. Overall, the results of the study show that the model has a good model fit and can be used to explain the theory.

The results of this study may not be generalisable to the wider population as it is only based on a cross-sectional study of a sample of adult students at a single institute in South Africa.

The contribution of this paper is threefold: it is one of a few studies on the behavioural intention to adopt cryptocurrency in South Africa using the TPB model, it contributes towards the use of predictive behavioural economics models in understanding consumer behaviour critical to accelerating the adoption of financial innovations, and the results of the study also inform behaviour change strategies that can be applied by practitioners or policymakers to improve adoption. Studies of this nature may lead to the development of financial innovation in emerging markets through a nuanced understanding of consumer behaviour.

George Loewenstein, a prominent behavioral economist, recalls thatIn 1994, when Thaler, Camerer, Rabin, Prelec and I spent the year at the Center for Advanced Study in the Behavioral Sciences, we had a meeting to make a kind of final decision about what to call what we were doing. Remarkably, at that time, the name behavioral economics was not yet well established. I actually advocated “psychological economics,” and Thaler was strong on behavioral economics. I'm kind of glad that he prevailed; I think it's a better, catchier, label, although it creates confusion due to association with Behaviorism. (G. Loewenstein, personal email to author, June 16, 2008)