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The purpose of this chapter is to present an economic perspective of how understanding individual decision-making can be impacted by transactional costs, and benefits in the context of gastronomic tourism. This chapter broadly discusses observable and perceived information search, bargaining and decision, policing and enforcement costs, and benefits in the context of gastronomic tourism in India. The proposed framework incorporates elements of Indian gastronomic offerings for tourists. Implications are discussed for future research and in the backdrop of the post-COVID-19 crisis.

As Chinese imported cross-border e-commerce has entered a stage of rapid development, the problem of consumer shopping risk is increasingly prominent and the crisis of consumer trust is intensified. The theory of establishing consumer trust in traditional online shopping can no longer meet the need of cross-border context.

The researchers used the methods of network logs and grounded theory. The data collection and analysis are conducted on consumer comments from Tmall Global, NetEase Koala and JD Worldwide in the product comment area. This article explored and extracted the moderating variables of consumer perceived risk and cross-border characteristics in cross-border e-commerce. Based on the theory of “perceived risk – consumer trust – consumer purchase decision – making,” this article deduced mechanism of consumer dynamic trust based on the whole process of cross-border e-commerce transaction.

In the prepurchase, purchase and postpurchase stages of cross-border e-commerce transactions, consumers' perceived cognitive risk, transaction risk and utility risk are moderated by the cultural distance, geographical distance and institutional distance caused by the cross-border transaction subjects. On this basis, the preinfluence factors of trust in each transaction stage are synthesized to respectively influence the establishment of cognitive trust, emotional trust and behavioral trust, so as to affect consumers to make the order payment, confirm receipt and praise repurchase decisions. At the same time, with the advance of prepurchase, purchase and postpurchase transactions in cross-border online shopping, consumer trust presents a dynamic evolutionary path of “cognitive trust – emotional trust – behavioral trust.”

This article expands the application context of the theory of consumer rational behavior from traditional online shopping to the context of cross-border online shopping and expands the scope of interpretation of the theory of consumer rational behavior. This article also supplements the theoretical gaps in the dynamic evolution of consumer trust in cross-border online shopping, enriches the decision-making process model of consumers in the context of cross-border online shopping and provides new ideas for follow-up research.

In response, the purpose of this paper is to provide theoretical frameworks about the organizational uncertainty behind what and when to adopt blockchain technology and their implications on transaction costs. The immature nature and the absence of standards in blockchain technology lead to uncertainty in government organizations concerning the adoption (“what to adopt”) and the identification of the right time (“when to start”).

Using transaction cost theory and path dependency theory, this paper proposes two frameworks: to assess transaction cost risks and opportunities costs; and to depict four different types of transaction costs outcomes regarding blockchain adoption.

This paper identifies various theoretical concepts that influence blockchain adoption and combine the two critical constructs of “bounded rationality” and the “lock-in effect” to categorize the multiple transaction costs outcomes for blockchain adoption.

Although existing research in blockchain highlights mainly the potential benefits of blockchain applications, only a little attention has been given to frameworks that categorize potential transaction costs outcomes under uncertainty, in particular from organizational theorists.

Both frameworks advance the understanding of the decision-making behind blockchain adoption and synthesize the current literature to offer conceptual clarity regarding the varied implications and outcomes linked to the uncertainty regarding transactions costs stemming from blockchain technology.

This paper aims to provide a transaction cost analysis (TCA) perspective to exporting firms' selection of foreign markets and the performance consequences of this international market selection (IMS) decision. This paper proposes a conceptual framework that hypothesizes the relationship between transaction cost factors, IMS and export performance.

This paper tests the proposed framework with a database of Chinese manufacturing firms using regression models and controlling for possible endogeneity. The endogeneity issue may arise due to IMS being influenced by unobserved industrial/firm attributes.

The results show that transaction cost factors are able to explain IMS. Furthermore, firms whose decisions have incorporated transaction cost factors perform significantly better than their rivals.

Understanding transaction costs helps decision-makers formulate more efficient IMS strategy to achieve superior export performance. Future research on IMS may examine “passive exporting”, i.e. exporting initiated by overseas buyers, consider the role of institutional distance and use other approaches toward cultural distance-based IMS.

This study adds a new theoretical underpinning for IMS by developing a framework based on TCA, and thus broadens the applications of TCA into IMS. Our empirical results support this extension.

The theories of transaction‐cost economics, the resource‐based view and the core competencies approach have been used extensively to justify the rationale behind strategic decisions on outsourcing, but their validity has not been investigated yet in comparative empirical research. Additionally, no study has examined the operational effects of these decisions in‐depth. The purpose of this paper is to fill these two gaps in the academic literature.

A literature review confirms the existence of these gaps and informs hypotheses based on the three theories. Additionally, the model for continuous decision making on outsourcing is used to systematically collect data from five cases studies. The cases – all make‐to‐order or engineering‐to‐order – have been analysed on effects for operational performance and control resulting from strategic decision making on outsourcing.

From this evaluation, it appears that these companies perform weakly on the control of the outsourced activities. Furthermore, it seems that the (manufacturing) strategy is disconnected from outsourcing practices and that outsourcing hardly contributes to competitive advantage. Moreover, from some of the case studies it appears that the decision for strategic outsourcing is irreversible. Finally, traditional criteria and behaviour during decision making prevail, i.e. a cost‐driven perspective, which does not address contemporary challenges.

Despite being explorative and based on only five cases, these findings indicate that strategic decision making on outsourcing based on the three theories insufficiently accounts for operational issues that emerge later during manufacturing; it might be necessary to revise the theoretical base for outsourcing to include management of outsourced manufacturing activities.

The findings imply also that managers in companies, in any case those firms that operate on the basis of make‐to‐order or engineering‐to‐order, should be less “rushed” into strategic decision making on outsourcing that has adverse effects. Rather, outsourcing requires integral decision making in contrast to factual decision making that displayed signs of bounded rationality (particularly expressed through the focus on cost savings).

The dominant, one‐sided view of the cost perspectives contributes to the notion that the shareholders' interests for short‐term profitability conflict with long‐term organisational health (apparent through the impact on operational management of outsourcing activities).

Stakeholders involved in strategic decision making might use this research to evaluate fundamentally decisions that cover outsourcing. At the same time, for consultants and practitioners it offers insight that is complementary to the often one‐sided strategic decision making with its focus on cost reductions. Furthermore, this paper demonstrates the limited validity of current theories that underpin strategic decision making on outsourcing and provides an impetus for academics to develop more appropriate theory.

The purpose of this paper is the development for a conceptual framework with regard to the risk management of real estate positions as foundation for transaction decisions. In this context, the current market environment and legal obligations are the main drivers for market participants to improve their risk management practices. Based on this environment, a practical but science backed model is outlined.

The paper uses a conceptual approach based on the existing literature to develop a practical decision support system. In addition, the current risk management best practices are outlined to illustrate the corporate and methodological foundation for the decision support system.

The conceptual model development reveals a clear necessity for the supplementation of price to value measures. Additional measures are derived from theoretic considerations based on Monte Carlo Simulation approaches to the risk management of property investments. These additional risk metrics support investors in order make risk-appropriate decisions.

The resulting decision support system can be applied to the risk management of transaction decisions. Here, the model can be applied in any investment decision to support portfolio management considerations from a comprehensive risk management perspective. Investors can implement the system as part of their transaction procedure.

The existing body of literature mainly focuses on macroeconomic ratios in the context of decision support. In contrast, the present paper reveals a corporate decision support system, which is supposed to foster decisions of market agents especially with regard to potential price and value divergences and tightening legal obligations.

Management engages in self-examination by studying the account data reporting the results of prior decision-actions. Actual transaction experience data will be more significant than data that are hypothetical. This is so because back of financial statements lie consummated transactions reflecting planned efforts on the part of the buyer and planned performance on the part of the seller. With this in mind, profit as motivation can be over emphasized, although in reality it is still a good indication of sound prior policies, plans, and decisions of management. Standardized accounting, however, is not without its limitations, as it cannot reflect the individuality of competitive enterprise and their management.

This chapter focuses on a case study of Kareem Exchange Company and its use of big data analysis to detect and prevent fraud and suspicious financial transactions. The chapter describes the various phases of the big data analysis cycle, including discovery, data preparation, model planning, model building, operationalization, and communicating results, and how the Kareem Exchange Company team implemented each phase. This chapter emphasizes the importance of identifying the business problem, understanding the resources and stakeholders involved, and developing an initial hypothesis to guide the analysis. The case study results demonstrate the potential of big data analysis to improve fraud detection capabilities in financial institutions, leading to informed decision making and action.

Reshoring and insourcing decisions have been discussed in the popular press, yet coverage of these topics in the academic literature is limited. The purpose of this paper is twofold: first, it seeks to develop a more complete understanding of the underlying drivers of reshoring and insourcing decisions and their permutations. Second, it seeks to provide directions for future research to further analyze the link between drivers and outcomes of the reshoring and insourcing phenomena.

This research follows a conceptual approach guided by transaction cost economics (TCE) and organizational buying behavior (OBB) theories. First, a theoretical framework of reshoring and insourcing decisions is developed. Next a comprehensive summary of reshoring and insourcing drivers is evaluated, yielding an in-depth discussion of future research directions (FRDs).

The analysis demonstrates that the framework can be utilized to explain recent insourcing and reshoring changes of firms and to help dismantle the external and organizational challenges associated with reshoring and insourcing decision making.

Three FRDs are presented in the light of TCE and OBB. A fourth research direction highlights additional contextual factors outside the scope of these two theoretical lenses. These four research directions yield insightful implications for scholars and contribute to the emerging reshoring and insourcing literature.

The full array of potential reshoring and insourcing permutations are structured to allow for an elaboration of their respective drivers. Moreover, enablers and obstacles in implementing the multitude of combined reshoring and insourcing decisions are highlighted and summarized as contextual variables.

The concluding conceptual framework guides the evaluation of the reshoring and insourcing driver-outcome relationship across various value creation tasks and provides guidance to scholars and managers alike.

The authors believe the COVID-19 pandemic has an impact on supply and demand. The potential decline in real sector performance leads to lower expectations of securities performance. The uncertainty of future performance can change investor behaviour. This study tried to gain insight into stock investor behaviour during the COVID-19 pandemic. The results showed that the majority of the investor realized and believed the pandemic would affect the stock market performance. Hence, they did not show herding behaviour and were very confident during the COVID-19 pandemic. The survey also indicates that investors tend to avoid risk rather than take the opportunity to buy at a lower price. Moreover, investors believe that the COVID-19 vaccine will soon be found, and the economy will return to normal. Government and self-regulated organizations (SRO) are responsible for making effective policies to convince the investors about the future prospect.