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Adopting a dual processing cognitive perspective, this study explores the decision-making processes past the start-up stage that small entrepreneurial businesses employ to grow. The author examines how entrepreneurs evaluate and make decisions on growth opportunities in their business environment. The author uses cognitive style as a theoretical lens to capture differences in information processing, combining interviews and psychometric questionnaires to analyse cognitive styles. The longitudinal mixed methods approach illustrates the richness of the entrepreneur’s decision-making process, which the author tracks over a two-year period. The author determines how intuitive and analytical cognitive styles are used by entrepreneurs and the contribution these styles make to decision-making. The findings show that the two cognitive styles are versatile as entrepreneurs adjust and adapt their cognitive style over time, in keeping with the situational factors of their business environment. The author also finds marked differences between novice and mature entrepreneurs and that experienced entrepreneurs exhibited greater levels of cognitive versatility, which was directly linked to their prior experience. The study has significant implications for future research, which should consider the question how an entrepreneur’s cognitive style is dependent on the business context and their prior experience.

In the knowledge economy, greater togetherness is the prerequisite for innovating and having more: selflessness extends scope while selfishness increases limitations. But human beings are not automatically attracted to innovation: between the two lies culture and cultural values vary widely, with the egoistic accent or the altruistic intonation setting the scene. In the representations of open innovation we submit to the reader’s attention, selfishness and selflessness are active in the cultural space.

Popularized in the early 2000s, open innovation is a systematic process by which ideas pass among organizations and travel along different exploitation vectors. With the arrival of multiple digital transformative technologies and the rapid evolution of the discipline of innovation, there was a need for a new approach to change, incorporating technological, societal and policy dimensions. Open Innovation 2.0 (OI2) – the result of advances in digital technologies and the cognitive sciences – marks a shift from incremental gains to disruptions that effect a great step forward in economic and social development. OI2 seeks the unexpected and provides support for the rapid scale-up of successes.

‘Nothing is more powerful than an idea whose time has come’ – this thought, attributed to Victor Hugo, tells us how a great deal is at stake with open innovation. Amidon and other scholars have argued that the twenty-first century is not about ‘having more’ but about ‘being more’. The promise of digital technologies and artificial intelligence is that they enable us to extend and amplify human intellect and experience. In the so-called experience economy, users buy ‘experiences’ rather than ‘services’. OI2 is a paradigm about ‘being more’ and seeking innovations that bring us all collectively on a trajectory towards sustainable intelligent living.

The ability for learners to interact online via their avatars in a 3-D simulation space means that virtual worlds afford a host of educational opportunities not offered by other learning technology platforms, but their use also raises several pertinent issues that warrant consideration. This chapter reviews the educational use of virtual worlds from a design perspective. Virtual-world definitions are explored, along with their key educational characteristics. Different virtual-world environments are briefly contrasted, including Second Life, Active Worlds, Open Sim, and Minecraft. A wide variety of virtual-world uses in schools and universities are examined so as to understand their versatility. Key educational benefits of virtual worlds are distilled from the literature, such as the ability to facilitate 3-D simulations, role-plays, construction tasks, and immersive learning. Emergent issues surrounding the use of virtual worlds are also analyzed, including cognitive load, safety, and representational fidelity. One higher education and one school level vignette are provided in order to offer more detailed insight into the use of virtual worlds in practice. Recommendations for learning design and implementation are presented, based on the thematic analysis of contemporary virtual-worlds research.

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.

Two interrelated theoretical schemes on leadership are presented in this paper. One is the Chinese CPM leadership behavior model, and the other, the Chinese implicit leadership theory. The CPM model recognizes three factors: Moral Character (“C” factor), Performance (“P” factor) and Maintenance (“M” factor). The Chinese implicit theory on leadership differentiates four trait factors: Personal Morality, Goal Efficiency, Interpersonal Competence, and Versatility. As such, it corresponds well with the CPM theory’s three-factor model. Both of these studies point to the salience of a cultural aspect. It has been demonstrated in the Chinese cultural context that the Chinese still place key importance on the moral character of their leaders and their behavior.

Overconfidence in one’s entrepreneurial abilities is often assumed to motivate the behaviors of founders of high growth ventures. However, when founders encounter significant obstacles in the firm growth process, some begin to doubt their efficacy of their abilities to manage these growth processes successfully. In these circumstances, prior research suggests that such self-doubt creates significant cognitive constraints on an entrepreneur’s growth ambitions. Similar to other types of resource constraints, cognitive constraints are thought to impact firm performance outcomes negatively. Despite these claims, in this study, phenomenological analysis of the experiences of a group of entrepreneurs creating and managing high-growth ventures based largely in Silicon Valley suggests that a number of these entrepreneurs experience significant levels of self-doubt but still persist in growing their ventures. Yet current entrepreneurship theory provides limited guidance regarding how entrepreneurs overcome these self-doubts and persist in creating a new venture. To address these theoretical limitations, in this chapter, we examine the cognitive process through which entrepreneurs wrestle with self-doubt in order to overcome self-imposed, cognitive constraints on firm growth. Based on this analysis, we develop a process model using a unique sample of interviews with 27 high-tech, high-growth entrepreneurs who have received venture capital funding. This model suggests entrepreneurs overcome self-doubt by managing the emotional impact derived from the discrepancy between their ideal and actual selves. Furthermore, entrepreneurs engage in an active process of transforming negative mental states by leveraging their intentionality, engaging in forethought, taking consistent action, and relying on the support of others. Overall, we find that entrepreneurs display a high level of entrepreneurial agency when attempting to transform negative mental states in order to persist with their ventures. Implications of these findings for cognitive theories of entrepreneurial action are discussed.

The idea that a significant portion of what consumers do, feel, and think is driven by automatic (or “implicit”) cognitive processes has sparked a wave of interest in the development of assessment tools that (attempt to) capture cognitive processes under automaticity conditions (also known as “implicit measures”). However, as more and more implicit measures are developed, it is becoming increasingly difficult for consumer scientists and marketing professionals to select the most appropriate tool for a specific research question. We therefore present a systematic overview of the criteria that can be used to evaluate and compare different implicit measures, including their structural characteristics, the extent to which (and the way in which) they qualify as “implicit,” as well as more practical considerations such as ease of implementation and the user experience of the respondents. As an example, we apply these criteria to four implicit measures that are (or have the potential to become) popular in marketing research (i.e., the implicit association test, the evaluative priming task, the affect misattribution procedure, and the propositional evaluation paradigm).