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The purpose of this paper is to critically evaluate the different market‐making systems found in most developed capital markets and to provide guidance to emerging market regulators for a possible implementation of such a system.

The paper looks closely at the market design of seven developed countries focusing on the obligations and privileges of market makers. Through a case study and empirical evidence the paper identifies advantage and disadvantage of a possible implementation of a similar design to an emerging market.

The paper identifies three forms of market making applied today: the quote‐driven, the centralized and non‐centralized systems. Four factors are proposed that regulatory authorities in emerging markets should consider when deciding whether, and which of, the three market‐making systems they should implement. These are: current exchange design and the costs of restructuring, international and domestic investors' sentiment towards the exchange, size of the emerging market and the market designs in countries hosting the target foreign capital.

The paper looks at the implementation of a market‐making system in an emerging market. Further research may investigate other ways of how emerging markets authorities can restructure their markets into more efficient, compatible and trustworthy financial venues in order to attract both domestic and foreign investors.

The area of emerging markets' microstructure design and market quality is still relatively under‐studied. We provide evidence of the challenges and benefits of the implementation of a market‐making system in those markets.

In the era of Big Data, larger volumes of data arrive in various forms at an increasing pace but of questionable quality and value. The abundant information (that emanates from these 5Vs – volume, variety, velocity, veracity, and value) taxes the bounded capacity of managers. This chapter introduces a taxonomy of approaches available for strategic decision making in an information-rich environment, several of which showcase that automation can help to augment (not supplant) managerial decision making. This taxonomy is then applied to an innovation context. Mapping a stylized version of the phases of the innovation process (i.e., front-end innovation, new product development, commercialization) onto the four decision-making approaches yields an organizing framework for understanding strategic decision making in the realm of innovation. The chapter concludes by identifying promising areas for future research.

This conceptual chapter: (1) explicates the foundational terminology regarding strategic decision making in a marketing context; (2) provides a primer on the era of Big Data and making strategic decisions in an information-rich environment; (3) introduces a taxonomy, which features approaches to decision making in an information-rich environment; and (4) applies the taxonomy in an innovation context to yield an organizing framework.

This chapter focuses on the nascent field that is emerging at the intersection of innovation, marketing strategy, and information-rich environments, and breaks new ground by exploring automation available to aid managerial decision making in this realm.

The main practical implication is to elucidate that managers can apply different approaches to decision making in today’s information-rich environment. Tables 2–4 provide to managers 12 examples of the types of decision making in an innovation context.

This chapter introduces a new taxonomy to classify four approaches for making strategic decisions in an information-rich environment, and extends that framework to the innovation realm. This framework aims to prompt researchers to explore important topics that exist at the intersection of innovation, marketing strategy, and managerial decision making in an information-rich environment.

The purpose of this paper is to propose an integrative framework bringing together results from neuroplasticity and decision-making from a neuroscience perspective with those from market plasticity, i.e. with which practices market actors shape markets.

Provided that developments in neuroscience indicate that training the brain for orientation toward efficient decision-making processes under uncertainty is possible, an in-depth analysis can be conducted by using the integrative framework, which was set up by the authors for advancing research efforts in neuroeconomics and neurofinance on these lines.

Markets have a plastic character; they can change shape and form and remain in that way thereafter. The marketers have always been causing this change to succeed in their marketing strategies and efforts. Plasticity, hitherto considered by marketing, market sociology and evolutionary economics, has a potential in financial decision-making processes, especially regarding its role in training the brain for stable financial decisions.

The theoretical approach can be incorporated for delivering an alternative representation of the knowledge processes associated with financial decisions.

The practical approach can be used for improving the practical aspects of financial decision-making processes.

The contribution is the first of its kind which integrates neuroscience approaches of plasticity and decision-making with the concept of market plasticity from the literature on economics and management, showing their similarities and opening a new front of discussion on how these two approaches can learn from each other to increase the explanatory power of financial decision-making processes and to gain new insights for financial decision makers on how to make more efficient financial decisions in the times of uncertainty.

Research concerning marketing standardisation is still developing. A new research theme has recently emerged, wherein it is suggested that the structure of marketing decision making is likely to be a factor of marketing standardisation strategy. This study aims to add insights to this new research field. Based on the outcome of previous studies, it aims to propose and test a research framework concerning the relationships among environmental factors, the structure of decision making and marketing standardisation/performance. This study seeks to focus on the two most important programme elements: promotion and product.

The study used the experience of 78 firms operating in the European Union (EU) region to achieve its research objectives. The data used were collected through a postal survey. This analysis used both partial least square (PLS) and hierarchical regression analysis methods to examine its research framework.

The study has generated a framework for future research. It is suggested that, with the absence of direct influence, the structure of decision making is still likely to have an indirect effect on marketing standardisation strategy. Although a path relationship is unlikely to exist between environmental factors, the structure of decision making and performance, the joint effect between environmental factors and the decision‐making structure on performance is confirmed. The outcomes of the study suggest that, through careful selection, firms adopting a high and low degree centralisation structure can benefit from operating in a similar high/low environment, as well as in a country with high/low market size and potential.

The study's findings have enhanced those uncovered by other researchers. A number of implications can be drawn for these findings.

This paper examines the relationship between marketing automation emergence and the marketers' use of heuristics in their decision-making processes. Heuristics play a role for the integration of human decision-making models and automation in augmentation processes, particularly in marketing where automation is widespread.

This study analyzes qualitative data about the impact of marketing automation on the scope of heuristics in decision-making models, and it is based on evidence collected from interviews with twenty-two experienced marketers.

Marketers make extensive use of heuristics to manage their tasks. While the adoption of new automatic marketing tools modify the task environment and field of use of traditional decision-making models, the adoption of heuristics rules with a different scope is essential to defining inputs, interpreting/evaluating outputs and control the marketing automation system.

The paper makes a contribution to research on the relationship between marketing automation and decision-making models. In particular, it proposes the results of in-depth interviews with senior decision makers to assess the impact of marketing automation on the scope of heuristics as decision-making models adopted by marketers.

This special issue seeks to create an interdisciplinary community of researchers applying decision-making theory to the international marketing context. The articles published in this special issue contain cutting-edge conceptual and empirical studies that enhance existing knowledge on international marketing decision-making.

Thirty-six (36) manuscripts were submitted to the editorial office focusing on a broad range of international marketing decision-making. Following a thorough review process, a collection of five original empirical studies on different facets of international marketing decision-making from multiple theoretical, contextual and methodological perspectives are included in this Special Issue.

Overall, the combined evidence presented in this Special Issue shows that the general field of international marketing decision-making is starting to mature. Evidence from the contributors to this Special Issue shows that researchers have taken inspiration from both the past and the present when designing and crafting their research and, by doing so, they have collectively contributed to new knowledge in terms of international marketing decision-making principles, decision-maker personality traits, the consequences of international marketing decisions and cross-cultural differences with regards to decision-making influences and behavior.

With few exceptions, not much is known about how international marketing decisions are made. Yet, the way international marketing decisions are made is critical for international marketing success. This sphere of international marketing decision-making research, while relatively anemic, is typically underpinned by behavioral economic theories of decision-making, such that a duality in decision-making processes is identified. Nevertheless, international marketing and management studies are dominated by the planning paradigm, while in practice, managers often see the attempt to deviate from planning as irresponsible and dangerous. The articles included in this special issue have addressed major unanswered questions regarding the content and processes of international marketing decision-making.

Companies inevitably interact and entrench in complex organic systems of business relationships with other. These business networks are not objectively defined, instead they are shaped by the subjective perception of actors. This inherent subjectivity is associated with the notion of network pictures, that is, a research tool that researchers or managers can use to grasp practitioner theories. In this chapter, we discuss how the importance of identifying these theories results mainly from underlying principles of sense-making theory, as well as from the idea around performativity. Drawing on these theoretical groundings, this chapter has two objectives: to explore how practitioners actually perceive their business surroundings and to assess the extent of overlapping between (IMP Group) academic theories and practitioner theories. To achieve these objectives, the researchers use a dimensional network pictures model previously developed in the literature to analyze the network pictures of 49 top-level managers across 17 companies from two very distinct contexts or networks: a product-based network and a project-based network. Among other practices, findings illustrate how practitioners tend to simplify what is going on in their complex surroundings, to personalize their relationships with those surroundings, and to think in a stereotyped way. Moreover, the juxtaposition between the captured practitioner theories and academic (IMP Group) theories show that these are not always overlapping, and are in some cases quite the opposite. This research contributes to the ongoing discussion of the importance of grasping actors’ views of the world, arguing that sense-making theory and the notion of performativity are the two main conceptual drivers justifying the urgency in making those views more visible. This research also adds to the research on the impact and suitability of IMP Group theories on managerial thinking and practice. Finally, this research reinforces the current call for further practice-based research in business network contexts.

This study aims to provide more insight into how customer voice is captured and used in managerial decision-making at the marketing-finance interface. This study’s focus is on understanding how the customer voice, often communicated through online and social media platforms, is used in high-performing hotels.

This research is based on a case study of four high-performing Irish hotels. For each case, multiple informants, including marketing managers, general managers and finance managers, were interviewed and shadowed. Twenty seven decisions across the four cases were analysed to assess the use of customer voice in managerial decision-making.

Social media provides a stage that has empowered the customer voice because of the public nature of the interaction and the network effect. Customer voice is incorporated in managerial decision-making in three distinct ways – symbolically as part of an early warning system, for action-oriented operational decisions and to some extent in the knowledge-enhancing role for tactical decisions. While there is a greater appreciation among senior managers and the finance and accounting managers of the importance of customer voice, this study finds clear limits in its utilisation and more reliance on traditional finance and accounting data, especially in strategic decision-making.

The cases belong to a highly visible open environment of hotels in an industry where customer voice has immediate and strong effects. The findings may not directly apply to industries characterised by a relatively more closed context such as banking or insurance. Moreover, the findings reflect the practices of high-performing hotels and do not necessarily capture the practices used in less successfully operating hotels.

While marketers need to enhance their ability to create a narrative that links the customer voice to revenue generation, finance managers also need to develop a skillset and adopt a mindset that appropriately reflects the influential role for customer voice in managerial decision-making.

Despite the linkage of marketing performance to business performance, there is limited research on the impact of customer information on managerial decision-making. This research provides insight into how customer voice is considered at the critical marketing-finance interface.

This book is a policy proposal aimed at the democratic left. It is concerned with gradual but radical reform of the socio‐economic system. An integrated policy of industrial and economic democracy, which centres around the establishment of a new sector of employee‐controlled enterprises, is presented. The proposal would retain the mix‐ed economy, but transform it into a much better “mixture”, with increased employee‐power in all sectors. While there is much of enduring value in our liberal western way of life, gross inequalities of wealth and power persist in our society.

This article aims to systematically review the literature published in recognized journals focused on cognitive heuristic-driven biases and their effect on investment management activities and market efficiency. It also includes some of the research work on the origins and foundations of behavioral finance, and how this has grown substantially to become an established and particular subject of study in its own right. The study also aims to provide future direction to the researchers working in this field.

For doing research synthesis, a systematic literature review (SLR) approach was applied considering research studies published within the time period, i.e. 1970–2021. This study attempted to accomplish a critical review of 176 studies out of 256 studies identified, which were published in reputable journals to synthesize the existing literature in the behavioral finance domain-related explicitly to cognitive heuristic-driven biases and their effect on investment management activities and market efficiency as well as on the origins and foundations of behavioral finance.

This review reveals that investors often use cognitive heuristics to reduce the risk of losses in uncertain situations, but that leads to errors in judgment; as a result, investors make irrational decisions, which may cause the market to overreact or underreact – in both situations, the market becomes inefficient. Overall, the literature demonstrates that there is currently no consensus on the usefulness of cognitive heuristics in the context of investment management activities and market efficiency. Therefore, a lack of consensus about this topic suggests that further studies may bring relevant contributions to the literature. Based on the gaps analysis, three major categories of gaps, namely theoretical and methodological gaps, and contextual gaps, are found, where research is needed.

The skillful understanding and knowledge of the cognitive heuristic-driven biases will help the investors, financial institutions and policymakers to overcome the adverse effect of these behavioral biases in the stock market. This article provides a detailed explanation of cognitive heuristic-driven biases and their influence on investment management activities and market efficiency, which could be very useful for finance practitioners, such as an investor who plays at the stock exchange, a portfolio manager, a financial strategist/advisor in an investment firm, a financial planner, an investment banker, a trader/broker at the stock exchange or a financial analyst. But most importantly, the term also includes all those persons who manage corporate entities and are responsible for making their financial management strategies.

Currently, no recent study exists, which reviews and evaluates the empirical research on cognitive heuristic-driven biases displayed by investors. The current study is original in discussing the role of cognitive heuristic-driven biases in investment management activities and market efficiency as well as the history and foundations of behavioral finance by means of research synthesis. This paper is useful to researchers, academicians, policymakers and those working in the area of behavioral finance in understanding the role that cognitive heuristic plays in investment management activities and market efficiency.