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Behavioral strategy completes the analyses of superior profitability by highlighting how non-economic, behavioral barriers generate an alternative source of strategic opportunities. Existing internal and external analysis frameworks fail to explain why strategic factors can be systematically mispriced and why large firms’ structural and resource advantage are regularly disrupted by entrepreneurs. We argue that the systematic biases documented in the behavioral and organizational sciences in fact illuminate an alternative source of competitive advantage. Strategists could develop superior insights into the value of resources and recognize factors that are either under- or overvalued while competitors remain blind to such possibilities. Our argument is illustrated by how three “underdogs” disrupted the incumbents in their industries by exploiting rivals’ predictable biases and blind spots. We conclude by discussing how our ideas can be generalized as an alternative, behavioral approach for strategy.

Over the last 30 years, a range of different complementary currency models have been developed and diffused across the world. Such currency systems have been researched from a variety of different perspectives, such as policy tools (Williams et al., 2001) and social movements (North, 2006). Many of these have explicit links to sustainability objectives and the green movement (Helleiner, 2000; Longhurst & Seyfang, 2011; North, 2010a; Seyfang, 2009), and some environmental writers argue that monetary reform and the development of multiple currency systems are critical factors in achieving environmental sustainability (Douthwaite, 1999). This chapter explains how such a ‘green’ currency emerged from within the environmentally focused Transition Town social movement. This movement has given rise to a range of locally based grassroots enterprises that deliver local services and goods. However, it is argued here that such enterprises can also act as instigators of radical innovations, such as complementary currencies. As such it conceptualises currencies as a form of technology and uses the empirical case of the Totnes Pound currency as an example of a technology that has emerged from civil society. Adopting this framing, the chapter draws on theory relating to the formation of innovative technological ‘niches’ to provide insights into the challenges that they have to overcome in order to survive and flourish. The chapter therefore argues that exploring complementary currencies through the lens of innovation theory can provide valuable insights into their development, and that such an approach may prove useful where grassroots enterprises are engaged in other forms of innovative activity.

Purpose – This paper focuses on a unique historical case study of industry evolution in order to develop a road map where historical and strategic research could develop a common ground for trans-disciplinary inquiry.

Design/methodology/approach – The industry I explore is the Universal Credit Card Industry since its inception with the Diners Club in 1949 until its maturity in late 1990s. My empirical objective here is to develop a historically detailed and theoretically rich case study in which evolutionary processes are discovered as a result of the historical narrative.

Findings – The historical account of the industry demonstrates how the evolution of alternative business models as organizing forms has led to the establishment of interorganizational platforms with unique ecosystems. These alternative business models, through various experimentations, have ultimately produced two critical interorganizational organizations, one based on an open-loop system represented by Visa and MasterCard, and the other based on a closed-loop system represented by Diners Club and the American Express. The historical account also shows that in a given industry competition is not only among specific firms in the industry but also among the business models and the platforms created by these models.

Originality/value – I conclude that historical analyses reveal the nature of competition not only among firms but also among alternative business models where traditional strategy research rarely covers.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

In this chapter, the authors investigate the correlation between social and economic indicators and Islamic finance, to see whether increasing Islamic banking will increase account penetration in Muslim majority countries. Inclusive financial services are beneficial to a country as a whole, especially for poorer individuals, giving them more access to investment and financing opportunities. Shari’ah law has guidelines for banking that Muslims must follow and many believe that commercial banks do not follow these guidelines. As many individuals cite religious reasons as their excuse for exclusion, there is potential to develop Islamic finance as a means of improving financial access in certain countries. The authors find that individuals from the countries in our study tend to be more religious and that there are potential economic and social benefits to an increase in Islamic banking in this region.

This chapter introduces a risk control framework on credit card fraud instead of providing a solely binary classifier model. The anomaly detection approach is adopted to identify fraud events as the outliers of the reconstruction error of a trained autoencoder (AE). The trained AE shows fitness and robustness on the normal transactions and heterogeneous behavior on fraud activities. The cost of false-positive normal transactions is controlled, and the loss of false-negative frauds can be evaluated by the thresholds from the percentiles of reconstruction error of trained AE on normal transactions. To align the risk assessment of the economic and financial situation, the risk manager can adjust the threshold to meet the risk control requirements. Using the 95th percentile as the threshold, the rate of wrongly detecting normal transactions is controlled at 5% and the true positive rate is 86%. For the 99th percentile threshold, the well-controlled false positive rate is around 1% and 83% for the truly detecting fraud activities. The performance of a false positive rate and the true positive rate is competitive with other supervised learning algorithms.