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The Asian Handicap is a way to bet on soccer matches where payouts depend on an adjustment to the score that favors the weaker team. These bets can feature the possibility of all or half the bet being refunded and this makes the calculation of their expected return more complex than for traditional betting on a home win, away win or draw. We examine the behavior of odds in this market.

In addition to a using well-known publicly available source of information on Asian Handicap betting odds – which provides the average odds across a range of bookmakers – we have also sourced a large dataset of Asian Handicap odds offered by an individual bookmaker.

We show that bettors systematically lose more money on Asian Handicap bets where refunds are not possible than when it is possible to obtain a half refund. We also show that bets with the possibility of a full refund have the lowest loss rates. We demonstrate that this pattern of differences in loss rates across bets is predictable based on the odds quoted. This pattern could represent preferences, with gamblers disliking bets featuring potential refunds, but we argue the evidence points more towards gamblers incorrectly calculating expected loss rates.

Despite being one of the world's largest betting markets, there has been almost no previous research on the properties of the Asian Handicap soccer betting. Our finding of clear differences in returns on simultaneously available bets on the same team is also a new anomaly previously undocumented in any research on sports betting.

In this chapter, the authors present a theoretical framework to not only better understand the wicked nature of the Airbnb phenomenon but also, using case examples from around the world, to illustrate how governments have attempted to mitigate Airbnb’s negative impacts.

Analysing the sharing economy, specifically the Airbnb platform, through the lens of Karl Polanyi’s Double Movement Theory, brings growing tension between markets and society into sharp relief. In the ensuing sections of this chapter, the authors will then adopt a ‘wicked problem’ perspective to provide some analytical insights into how governments across the world have attempted to respond to this wicked policy problem and explore different policy responses and regulatory frameworks in greater depth. Through the review of exemplary cases from around the world, considerable variation in governance and policy responses could be identified.

Data-driven innovation is a key pillar for economic development in the 21st century, accordingly the role and value of data in developing new products, services and business models has gained attention. The study aims to identify three important factors explaining the challenges faced by young entrepreneurial firms when seeking to use public data in their business development.

This study presents the user journeys of five data-driven start-ups in the capital region of Norway aiming to use public data in their business development process. Multiple methods for data collection were used, such as interviews, observations and secondary data.

The study reveals how differences in culture, communication and work methods across stakeholders and sectors affect and delay the process of gaining access to data. Moreover, how various forms of knowledge are expressed differently throughout the user journeys of the start-up firms, with stronger dependency on explicit and codified in early phase, and tacit and experience-based knowledge in later stages, each stage relating to the maturity of the entrepreneurial ecosystem for data-driven innovation. Therefore, the ecosystem for data-driven innovation may be further developed through arenas for collaboration that simplify the process for access to – and use of public data.

The study reveals how young entrepreneurial firms identify opportunities whilst simultaneously facing substantial barriers when they seek to take advantage of publicly available data and transforming them into value creating activities. The study contributes to the theoretical understanding of data-driven innovation by exploring the user journeys of start-up firms and identifying the challenges they face when utilizing public data, highlighting the importance of a mature ecosystem, collaboration for market development and the evolving role of tacit and experience-based knowledge throughout the business development process.

Introduction: The notion of job losses during energy transition phases and their influences on fossil fuel economies have been debated in various aspects. Meanwhile, unemployment and poverty have been critical economic challenges for many developing countries, even the resource-rich countries in the Middle East. Concurrently, no country so far is poverty-free and has not entirely fulfilled Sustainable Development Goals (SDG) Nos. 1 and 8, as many resource-rich countries account for the significant global poverty and unemployment, such as Nigeria, Iraq, Yemen, and Venezuela.

Purpose: The issue of green transition has created new fears for the job market in the fossil fuel economies, where the lives of many people could be mainly affected. This study investigates the macroeconomic challenges of green transition and the macroeconomic consequences that fossil fuel economies will deal with.

Methodology: This study follows content analysis and a desk-search review of job loss during the green transition in the context of fossil fuel economies. In addition, the descriptive analysis is just a clear understanding of the fundamental review of the topic that will lead to another cross-country analysis study based on in-depth knowledge and analysing data.

Findings: The European Green Deal (EGD) will have profound economic, social, and political implications for fossil fuel-dependent economies for various reasons. First, fossil fuel economies are less diversified; the economy depends on a single commodity; the systems must be developed and people must prepare for a quick economic transition.

This paper analyzes the ways in which accounting enables operations managers to enter and perform multiple roles in their interplay with organizational groups on the shop floor and in management, and the associated negotiations that operations managers have with “the self.”

Using field-based studies in a mining organization, the study draws on Goffman’s backstage–frontstage metaphor to analyze how operations managers enter and perform several roles with the aid of accounting.

The findings show that accounting legitimizes operations managers when they cross organizational boundaries, as accounting gives them an “entry ticket” that legitimizes their presence with the group. Accounting further allows operations managers to embrace more than one role by “putting on a mask” to become an outsider or insider in relation to a group. In performing their roles, operations managers exhibit varying attributes and knowledge. Accounting can thereby be withheld from, or shared with, organizational groups. The illusion of accounting as deterministic presented frontstage is not necessarily negotiated that way backstage. Rather, alternatives discussed backstage often become silenced in the frontstage performance. The study concludes that operations managers cross boundaries, embrace roles and exert agency as they navigate with accounting, enrolling it into their performance simultaneously as they backstage reflect upon accounting and its role for their everyday work.

This study relies on the frontstage/backstage metaphor to visualize the discrepancies in how accounting is enrolled into role performances and how seemingly categorical fronts do not necessarily share that dominant position backstage.

Organizations are affected top-down by the overarching societies and bottom-up by foundational face-to-face encounters: societies provide norms, values, laws, institutions, beliefs, markets, political structures, and knowledge bases. What happens within organizations is done by people interacting with other people, arguing, discussing, convincing each other when preparing and making decisions. Organizations operate within social environments that leave their – however indirect – imprint on what is going on within organizations. This article argues that organizational sociology can benefit from an integrated theoretical framework that accounts for the embeddedness of organizations within the micro- and macro-levels of social order. The argument is developed in two main points: First, this article introduces the multilevel framework provided by Niklas Luhmann’s systems theory to demonstrate how organizations are shaped by the functionally differentiated macro-structure of society. Organizations follow and reproduce the operational logics of societal domains such as the political system, the economy, science, law, religion, etc. Second, this paper demonstrates how organizations are shaped by micro-level dynamics of face-to-face interactions. Face-to-face encounters form a social reality of its own kind that restricts and resists the formalization of organizational processes. Here, this article draws on Erving Goffman’s and Randall Collins’ work on interaction rituals, emotions, and solidarity, which is inspired by Durkheimian micro-sociology. At the end, this article brings together all the elements into one general account of organizations within the context of their macro- and micro-structural social environments. This account can yield a deeper and more sociological understanding of organizational behavior.

This study applies complexity theory to propose and empirically examine asymmetric case conditions of antecedents and outcome models of high (low) willingness-to-engage in workplace romance (WEWR). This study focuses on constructing complex antecedent conditions that accurately indicate which employees, and under what conditions, employees are high in WEWR.

Using an experimental design, 162 employees were assigned one of nine hypothetical vignettes describing different workplace romance contexts including three discrete policies regarding workplace romances (i.e. strictly forbidden, moderate, vs no policy), two motivations for the workplace romance (i.e. job vs love), and two organizational positions of the romance (i.e. hierarchical vs lateral). Participants then reported WEWR responses. Participants also provided demographic, behavioral, and psychological work-related information. This study assesses and supports recipes (i.e. algorithms) of case and organizational structure conditions to identify cases high (low) in WEWR accurately and consistently.

The results provide clarity of which and when employees are willing vs unwilling to engage in workplace romances – and the contextualized impacts of organizational bans on WEWR. The study’s results are useful for estimating for whom specific workplace policies are effective or not by specific workplace contexts.

In highlighting the role of varying antecedent conditions in predicting WEWR, this research will assist organizations and practitioners in understanding the context in which workplace romances are more likely to occur, providing insight as to when employees are likely to comply with workplace romance policies.

This paper is the first in the workplace romance literature to examine unique combinations of antecedent conditions on WEWR, adding nuance to the current understanding of the behavior.

Identifying the flow regime is a prerequisite for accurately modeling two-phase flow. This paper aims to introduce a comprehensive data-driven workflow for flow regime identification.

A numerical two-phase flow model was validated against experimental data and was used to generate dynamic pressure signals for three different flow regimes. First, four distinct methods were used for feature extraction: discrete wavelet transform (DWT), empirical mode decomposition, power spectral density and the time series analysis method. Kernel Fisher discriminant analysis (KFDA) was used to simultaneously perform dimensionality reduction and machine learning (ML) classification for each set of features. Finally, the Shapley additive explanations (SHAP) method was applied to make the workflow explainable.

The results highlighted that the DWT + KFDA method exhibited the highest testing and training accuracy at 95.2% and 88.8%, respectively. Results also include a virtual flow regime map to facilitate the visualization of features in two dimension. Finally, SHAP analysis showed that minimum and maximum values extracted at the fourth and second signal decomposition levels of DWT are the best flow-distinguishing features.

This workflow can be applied to opaque pipes fitted with pressure sensors to achieve flow assurance and automatic monitoring of two-phase flow occurring in many process industries.

This paper presents a novel flow regime identification method by fusing dynamic pressure measurements with ML techniques. The authors’ novel DWT + KFDA method demonstrates superior performance for flow regime identification with explainability.

To cope successfully with the pressures imposed by a devastating pandemic and other challenges, companies and policymakers need to look at how they conceptualize, define, measure and operationalize “value”. This paper aims to support this conversation.

This study presents a historical review of how the value construct has been conceptualized over time, demonstrating that its history is one of tension and debate with conceptualizations swinging between objective (i.e. the value of something exists independent of the observers) and subjective (i.e. the value of something depends on the personal response of the observer to what is being considered) views over time.

This paper outlines the implications to researchers of value’s low construct clarity, offering suggestions designed to exploit rather than ignore the duality of the value construct. Instead of thinking of the value construct as being subjective or objective, this study recommends that scholars consider value’s objectivity and subjectivity as being interrelated and complementary. The paper recommends that researchers use both quantitative and qualitative methodologies in studying this construct.

A major limitation of this paper is the word count limitation restricting the extent to which this paper could explore a more comprehensive list of the conceptualizations of value throughout history.

This paper presents practitioners with a nuanced understanding of value that should assist those interested in examining the worth of investments with observable expenses but less quantifiable outputs.

The authors have not found a similar analysis of the various conceptualizations of value.