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The purpose of the study was threefold: to understand security behaviours in practice by investigating factors that may cause an individual to comply with a request posed by a perpetrator; to investigate if adding information about the victim to an attack increases the probability of the attack being successful; and, finally, to investigate if there is a correlation between self-reported and observed behaviour.

Factors for investigation were identified based on a review of existing literature. Data were collected through a scenario-based survey, phishing experiments, journals and follow-up interviews in three organisations.

The results from the experiment revealed that the degree of target information in an attack increased the likelihood that an organisational employee falls victim to an actual attack. Further, an individual’s trust and risk behaviour significantly affected the actual behaviour during the phishing experiment. Computer experience at work, helpfulness and gender (females tend to be less susceptible to a generic attack than men), had a significant correlation with behaviour reported by respondents in the scenario-based survey. No correlation between the results from the scenario-based survey and the experiments was found.

One limitation is that the scenario-based survey may have been interpreted differently by the participants. Another is that controlling how the participants reacted when receiving the phishing mail, and what actually triggered each and every participant to click on the attached link, was not possible. Data were however collected to capture these aspects during and after the experiments. In conclusion, the results do not imply that one or the other method should be ruled out, as they have both advantages and disadvantages which should be considered in the context of collecting data in the critical domain of information security.

Two different methods to collect data to understand security behaviours have rarely been used in previous research. Studies that add target information to understand if such information could increase the probability of attack success is sparse. This paper includes both approaches.

Drawing on signaling theory, the purpose of this study is to investigate the effects of the strength and framing of firm signals sent to repair relationships following relationship violations.

Three 2 × 2 scenario-based experiments (total n = 527) manipulate signal strength × violation type (Study 1); signal frame × violation type (Study 2); and signal strength × brand familiarity (Study 3) to examine their dynamic impacts on relationship recovery efforts.

Stronger signals are more effective at relationship repair and are especially important following integrity (vs competence) violations. Signals framed as customer gains (vs firm costs) lead to more favorable relationship outcomes. Finally, brands that are less (vs more) familiar see greater benefits from strong signals.

The three experiments were scenario-based, which may not replicate real-life behavior or capture participants’ actual emotions following a violation, thus future research should extend into real-world recovery efforts.

Managers should send strong signals (communicating the level of resources invested in the recovery efforts) framed as benefits to the customer, rather than costs to the firm. Strong signals are especially important when brand familiarity is low or an integrity violation has occurred.

This is the first research to directly apply signaling theory to the relationship recovery process and contributes to theory by examining the role of signal strength; framing of the signal as a customer gain vs firm cost; and the interplay of signal strength and brand familiarity on the relationship recovery effort.

As an emerging technology, medical artificial intelligence (AI) plays an important role in the healthcare system. However, the service failure of medical AI causes severe violations to user trust. Different from other services that do not involve vital health, customers' trust toward the service of medical AI are difficult to repair after service failure. This study explores the links among different types of attributions (external and internal), service recovery strategies (firm, customer, and co-creation), and service recovery outcomes (trust).

Empirical analysis was carried out using data (N = 338) collected from a 2 × 3 scenario-based experiment. The scenario-based experiment has three stages: service delivery, service failure, and service recovery. The attribution of service failure was divided into two parts (customer vs. firm), while the recovery of service failure was divided into three parts (customer vs. firm vs. co-creation), making the design full factorial.

The results show that (1) internal attribution of the service failure can easily repair both affective-based trust (AFTR) and cognitive-based trust (CGTR), (2) co-creation recovery has a greater positive effect on AFTR while firm recovery is more effective on cognitive-based trust, (3) a series of interesting conclusions are found in the interaction between customers' attribution and service recovery strategy.

The authors' findings are of great significance to the strategy of service recovery after service failure in the medical AI system. According to the attribution type of service failure, medical organizations can choose a strategy to more accurately improve service recovery effect.

Despite blockchain's potential supply chain benefits, few organizations have moved beyond pilot projects. The paper aims to explore blockchain adoption intentions for supply chain applications using two theoretical perspectives: innovation diffusion theory (IDT) and institutional theory (IT).

Based on theory, five propositions were developed addressing the intention to adopt blockchain. The propositions were tested using scenario-based experiments with supply chain professionals. To provide additional insights, interviews with 21 supply chain professionals in 15 organizations representing 8 industries were content analyzed.

Experiments suggest that the intention to adopt blockchain is higher when there are government regulations regarding product origin, organizations are using updated cloud-based information systems and organizations are working with third-party consultants. The content analysis suggests that organizations that face normative pressures to adopt blockchain supply chain applications and recognize blockchain's relative advantage, compatibility and complexity are more likely to be actively seeking information about and adopting blockchain supply chain applications. The authors synthesize findings and provide new propositions to guide future research.

Using a multi-method approach, the study provides an important window into supply chain managers' perceptions of the necessary conditions to support organization-level blockchain adoption. The findings also indicate key characteristics present in supply chain networks poised for blockchain adoption.

In the competitive retailing environment, retailers who provide service experiences that stand out from the competition can gain a competitive advantage. Increasingly, an important aspect of the service experience involves product returns, in particular, the fairness of returns policies and procedures. Previous research studies support that interpersonal justice and informational justice relate positively to consumer attitudes and behaviors. In this paper, the authors examine the relative effects of interpersonal justice and informational justice on return satisfaction, positive word-of-mouth (PWOM) and trust. Additionally, the authors examine the moderating effects of returns process convenience and returns policy restrictiveness as indicators of procedural justice.

A scenario-based experiment methodology was used to test the relationships of interest.

Results support that the effects of interpersonal justice on the outcome variables are stronger than the effects of informational justice. There is also support for a moderating effect of returns process convenience on the relationships between interpersonal justice and each outcome variable, as well as partial support for the moderating effect of returns policy restrictiveness on the relationship between interpersonal justice and PWOM.

The research extends previous work on the effects of justice on customer outcomes. Results support the importance of retailers treating customers with fairness during the returns experience and further support the benefits of providing a convenient returns experience.

The optimal level of customer participation is an important factor in service design. However, researchers know little about the impact of customer participation for their willingness to pay and hence organizations’ financial outcomes. This paper examines the impact of customer participation in a pay-what-you-want (PWYW) pricing system, allowing customers to pay any price they want for a product or service.

This paper reports the results of three experiments, in which the authors manipulated the level of customer participation (Study 1: Low versus high, Study 2: Medium versus high, Study 3: Low versus medium versus high) and measured customers' PWYW payments (Studies 1–3), customer satisfaction (Studies 1–3), perceived equity (Study 3) and perceived enjoyment (Study 3). Studies 1 and 3 were scenario-based experiments, while study 2 was a field experiment. Study 3 was preregistered.

The results support a direct effect of customer participation in service production on customer PWYW payments, yet only when comparing low to high levels of customer participation. High levels of customer participation lead to a decrease in perceived equity and an increase in perceived enjoyment, which in turn spilled over to customer PWYW payments through customer satisfaction.

This research provides causal evidence at the individual level of analysis for the relationship between customer participation in service production and financial results. The paper also provides insights into its underlying mechanisms.

The environment in which users acquire medical and health information has changed dramatically, with online health communities (OHCs) emerging as an essential means for accessing health information. It is imperative to comprehend the factors that shape the users' compliance willingness (UCW) to health information in OHCs.

This study adopted the information adoption model (IAM) and theory of planned behavior (TPB) to investigate the influence of argument quality (AQ), source credibility (SC) and subjective norms (SN) on UCW while considering the two types of online health information – mature and emerging treatments. The authors conducted an explanatory-predictive study based on a 2 (treatment types: mature vs. emerging) * 2 (AQ: high vs. low) * 2 (SC: high vs. low) scenario-based experiment, using the partial least squares structural equation modeling (PLS-SEM).

SC positively influences AQ. AQ, SC and SN contribute to information usefulness (IU). These factors positively affect UCW through the mediation of IU. SN were found to improve UCW directly. Moreover, the moderating effect of SC on AQ and IU was more substantial for emerging treatments.

The research model integrates IAM and TPB, considering information types as an additional variable. The approach and findings provide a valuable explanation for UCW to health information in OHCs.

Based on the foundations of the schema theory, the elaboration likelihood model (ELM) and customer experience literature, this research examines how the interplay between a consumer's previous shopping experience(s) and perceived credibility of negative online word-of-mouth (PCNWOM) leads to improved consumer–firm relationship quality (RQ).

The authors utilised series of scenario-based experiments (N = 918) to test the research hypotheses.

The authors show that a focal customer's previous shopping experiences attenuate the perceived credibility of negative word-of-mouth on social media by other customers, which in turn weakens consumer–firm RQ. The authors also show that positive and negative perceptual experiences are asymmetric.

First, the online shopping experiences described in the experimental scenarios were generic and did not refer to any particular product/service. Thus, calibrating products and services into categories, and studying how product type differences impact online shopping experiences warrant further research.

From a practical perspective, the authors demonstrate that not only does enhancing consumer–firm relationship quality demand meticulous integration of consumers' website and social media experiences but also in positive vs negative perception scenarios, RQ wane as review frequency increases.

The authors contribute significant insight into the existing literature by specifically adopting the premise that consumers' previous online shopping experience(s) will influence how credibly they will perceive negative online WOM posted on social media.

Given increasing customer expectations and disturbances to product returns management, capabilities such as supply chain resilience (SCR) can complement service recovery strategies in retail supply chains. This study utilizes procedural justice theory (PJT) to conceptualize service recovery resilience as a capability that allows firms to meet customer requirements when dealing with disruptions, and empirically investigates its impact on procedural and interactional justice and customer outcomes (i.e. satisfaction and loyalty) in the context of product replacement.

This research employs two scenario-based experiments using a sample of 368 customers to explore the outcomes associated with service recovery resilience.

The investigation shows more satisfied and loyal customers when a retail supply chain can overcome service recovery challenges through SCR. The study shows that customers evaluate not only the process itself, but also their interactions with the retailer. Specifically, procedural justice and interactional justice have a significant influence on these relationships.

This study proposes service recovery resilience as a concept that bridges service recovery theory with supply chain strategy in the unique context of product replacement. Further, this study also notes how information enhances customer satisfaction with the retailer's effort to address disturbances in the recovery process. Finally, this study informs managers on the capabilities needed to face new customers' needs.

The aim of the research presented in this paper is to enhance our understanding of self-gift giving behavior. Self-regulatory theory is used as a conceptual support to achieve this objective. The main idea that is explored is that consumers’ self-gift purchase intentions vary across contexts and situations to the extent that these are compatible or not with their self-regulatory mindset, whether it is chronic or situational.

Two studies, using a scenario-based experiment, were conducted to investigate the effects that regulatory focus has on consumers’ intentions to buy themselves a gift.

The results support the proposition that the chronic form of regulatory focus in success and failure situations has a significant impact on the intention to purchase a gift to oneself and show that the situational form of regulatory focus has an influence on self-gift purchase intention as well. They also confirm that situations that are congruent with consumers’ self-regulatory mindset lead to stronger self-gift purchase intentions.

The main contribution of this research lies in delineating the role that some specific dispositional and situational factors play in shaping consumers’ perceptions of success and failure events and how this impacts the eventual purchase of a gift to oneself. This contrasts with previous research on self-gift giving, where success and failure situations are assumed to be perceived similarly by consumers. Marketing managers wishing to stimulate consumers’ propensity to buy themselves gifts should consider using regulatory focus as a segmentation basis. Marketing communications should be adapted to consumers’ self-regulatory mindset.