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This study aims to take a dual-process perspective and argues that peer influence on increasing impulse buying may also operate automatically. If-then plans, which can automate action control, may, thus, help regulate peer influence. This research extends existing literature explicating the deliberate influence of social norms.

Study 1 (N = 120) obtained causal evidence that forming an implementation intention (i.e. an if-then plan designed to automate action control) reduces peer impact on impulse buying in a laboratory experiment with young adults (students) selecting food items. Study 2 (N = 686) obtained correlational evidence for the role of norms, automaticity and implementation intentions in impulse buying using a large sample of high-school adolescents working on a vignette about clothes-shopping.

If-then plans reduced impulse purchases in the laboratory (Study 1). Both reported deliberation on peer norms and the reported automaticity of shopping with peers predicted impulse buying but an implementation intention to be thriftily reduced these links (Study 2).

This research highlights the role of automatic social processes in problematic consumer behaviour. Promising field studies and neuropsychological experiments are discussed.

Young consumers can gain control over automatic peer influence by using if-then plans, thereby reducing impulse buying.

This research helps understand new precursors of impulse buying in understudied European samples of young consumers.

Crises such as the Coronavirus pandemic pose extraordinary challenges to the decision making in management teams. Teams need to integrate available information quickly to make informed decisions on the spot and update their decisions as new information becomes available. Moreover, making good decisions is hard as it requires sacrifices for the common good, and finally, implementing the decisions made is not easy as it requires persistence in the face of strong counterproductive social pressures.

We provide a “psychology of action” perspective on making team-based management decisions in crisis by introducing collective implementation intentions (We-if-then plans) as a theory-based intervention tool to improve decision processes. We discuss our program of research on forming and acting on We-if-then plans in ad hoc teams facing challenging situations.

Teams with We-if-then plans consistently made more informed decisions when information was socially or temporally distributed, when decision makers had to make sacrifices for the common good, and when strong social pressures opposed acting on their decisions. Preliminary experimental evidence indicates that assigning simple We-if-then plans had similar positive effects as providing a leader to steer team processes.

Our analysis of self-regulated team decisions helps understand and improve how management teams can make and act on good decisions in crises such as the Coronavirus pandemic.

Currently, there is no formal recommended structure, particularly regarding the client’s ethics, for determining whether an external auditor should continue the business relationship with an audit client. This statement is not meant as a criticism, but rather as the backdrop for proposing that (1) a structure is needed that will assist auditors in evaluating client ethics and (2) such a structure should be institutionalized as an integral part of the continuance decision. Auditors will never be able to guarantee that a client is ethical – even those clients with detailed codes of ethics – but auditors could benefit from a more comprehensive and established process to assess a client’s commitment to ethical behavior. This paper begins by discussing some of the psychological aspects of the audit client continuance decision. Then, reviews existing, professional guidance related to evaluating client ethics. This is followed by the authors’ baseline model and client ethics evaluation checklist designed to assist external auditors in institutionalizing the evaluation of client ethics as part of the continuance decision.

The purpose of this paper is to design a novel optimized biped robot gait generator which plays an important role in helping the robot to move forward stably. Based on a mathematical point of view, the gait design problem is investigated as a constrained optimum problem. Then the task to be solved is closely related to the evolutionary calculation technique.

Based on this fact, this paper proposes a new way to optimize the biped gait design for humanoid robots that allows stable stepping with preset foot-lifting magnitude. The newly proposed central force optimization (CFO) algorithm is used to optimize the biped gait parameters to help a nonlinear uncertain humanoid robot walk robustly and steadily. The efficiency of the proposed method is compared with the genetic algorithm, particle swarm optimization and improved differential evolution algorithm (modified differential evolution).

The simulated and experimental results carried out on the small-sized nonlinear uncertain humanoid robot clearly demonstrate that the novel algorithm offers an efficient and stable gait for humanoid robots with respect to accurate preset foot-lifting magnitude.

This paper proposes a new algorithm based on four key gait parameters that enable dynamic equilibrium in stable walking for nonlinear uncertain humanoid robots of which gait parameters are initiatively optimized with CFO algorithm.

The purpose of this paper is to examine the successful implementation of a digital work method named Building Information Modelling (BIM) and make recommendations to help organizations better test and implement innovative work approaches. Learning experiences not only provide insights into the building sector, but also into any organization interested in culture and effective response mechanisms during technological change.

By applying a critical incident technique, BIM experts at one mid-sized case organization were interviewed to examine the learning experiences from converting implementation intentions into actions. The information from these interviews was used to formulate a number of practical recommendations.

The interviews outlined the various development opportunities that implementing new digital methods may offer for senior management and staff. Investing in small projects that work and the corresponding behavioral change required, together with regular project reviews, all help to build unique capabilities and to frame a culture that supports organizational development.

The discussion of the various benefits and conditions under which new technology implementation can improve organizational learning provides practitioners with insights into how effectively to convert change intentions into action.

A firestorm is a vast wave of negative information about a brand that disseminates quickly online. Their relative unpredictability represents a particularly challenging problem for brand marketers. This paper aims to show how firestorms are enabled and can be disabled by online community members (OCMs), exploring the dissemination of negative electronic word-of-mouth (e-WOM), the challenges in countering negative brand information and how brands can effectively communicate with OCMs to facilitate offsetting negative e-WOM.

This paper uses a sequential mixed-method research methodology. Study 1 uses an experimental design and tests serial mediation using PROCESS Model 6. Study 2 extends the findings while introducing a moderator using the PROCESS Model 83. Finally, qualitative findings are used to develop a practitioner-friendly typology of OCMs.

The perceived authenticity of a message can influence the believability of negative WOM in the presence of a negative availability cascade. Positive cascades are likely to prevent online communities from enabling negative e-WOM when the instigating message is perceived to be inauthentic. Qualitative findings from a post hoc analysis identify a typology of eight OCM types that enable and are also capable of disabling firestorms.

OCMs can both actively fuel and cool a firestorm. Brands should always monitor online communities and closely monitor discussions that are most likely to generate firestorms. More proactively, they should also develop communication strategies for each OCM type to help disable firestorms in the making.

Both negative and positive cascades are explored quantitatively and qualitatively to understand the mechanisms that can drive firestorms and provide both warnings and guidance for brands. An OCM typology guides brands’ mitigation strategies.