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This study aims to address the challenge of training a detection model for the robot to detect the abnormal samples in the industrial environment, while abnormal patterns are very rare under this condition.

The authors propose a new model with double encoder–decoder (DED) generative adversarial networks to detect anomalies when the model is trained without any abnormal patterns. The DED approach is used to map high-dimensional input images to a low-dimensional space, through which the latent variables are obtained. Minimizing the change in the latent variables during the training process helps the model learn the data distribution. Anomaly detection is achieved by calculating the distance between two low-dimensional vectors obtained from two encoders.

The proposed method has better accuracy and F1 score when compared with traditional anomaly detection models.

A new architecture with a DED pipeline is designed to capture the distribution of images in the training process so that anomalous samples are accurately identified. A new weight function is introduced to control the proportion of losses in the encoding reconstruction and adversarial phases to achieve better results. An anomaly detection model is proposed to achieve superior performance against prior state-of-the-art approaches.

Introduction: The insurance sector provides security to society by pooling resources to manage risks. Insurers’ improved ability to analyse risks by examining vast amounts of granular data has considerably refined this technique. Compiling and analysing the fine data sets is now transformed into the ‘Big Data’ technique. The introduction of big data analytics (BDA) is transforming the insurance industry and the role data plays in insurance.

Purpose: This chapter will attempt to examine the applications and role of big data in the insurance sector and how big data affects the different insurance segments like health insurance, property and casualty, and travel insurance. This chapter will also describe the disruptive impact of big data on the insurance market.

Methodology: Systematic research is carried out by analysing case studies and literature studies, emphasising how BDA is revolutionary for the insurance market. For this purpose, various articles and studies on BDA in the insurance market are selected and studied.

Findings: The execution of big data is continuously increasing in the insurance sector. The performance of big data in the insurance market results in cost reduction, better access to insurance services, and more fraud detection that benefits the customers and stakeholders. Therefore, big data has revolutionised the insurance market and assisted insurers in targeting customers more precisely.

This study aims to examine the ability of the social influence heuristics framework to capture skillful and creative social media influencer (SMI) marketing in long-form video content on YouTube for influencer-owned brands and products.

The theoretical lens was a framework of seven evidence-based social influence heuristics (reciprocity, social proof, consistency, scarcity, liking, authority and unity). For the methodological lens, a qualitative case study approach was applied to a purposeful sample of 6 SMIs and 15 videos on YouTube.

The evidence shows that self-promotional influencer marketing in long-form video content is relatable to all seven heuristics and shows signs of high elaboration, innovativeness and skillfulness.

The study reveals that a heuristic-based account of self-promotional influencer marketing in long-form video content can greatly contribute to the understanding of how various well-established marketing concepts (e.g. source attractivity) might be expressed in real-world communications and behaviors. Based on this improved, in-depth understanding, current research efforts, such as experimental studies using one video with a more or less arbitrary influencer and pre-post measure, are advised to explore research questions via designs that account for the observed subtle and complex nature of real-world influencer marketing in long-form video content.

This structured account of skillful and creative marketing can be used as educational and instructive material for influencer marketing practitioners to enhance their creativity, for consumers to increase their marketing literacy and for policymakers to rethink policies for influencer marketing.

Prior research has created a body of knowledge on influencer marketing. However, a conceptual disconnect has hampered the advancement of the field. The social influence heuristics framework is a highly functional conceptual bridge that links the qualitative and quantitative evidence and will advance the understanding of influencer marketing more effectively.

This paper aims to investigate factors affecting the relationship between consumers’ brand trust and purchase intentions after exposure to targeted mobile app ads during holiday periods, including the mediating roles of consumers’ ad attitudes, different discount levels and their interactions; and the moderating roles of the anticipated gain (loss) (i.e. access to discounts) associated with mobile app usage (non-usage).

Data were collected from 559 respondents who were randomly assigned to six groups based on a 2 (ad type: new, holiday-themed vs regular product) × 3 (promotion level: 0% vs 20% vs 40%) between-subjects design. Regression analysis and structural equation modeling techniques are used to test the hypothesized mediators and moderators.

Consumers with high brand trust are likely to purchase both new and regular products. Consumers with low brand trust are most responsive to mobile app ads for regular products when offered a high discount. Ad attitudes across all discount rates and product types mediate the relationship between brand trust and purchase intentions; the anticipated gain associated with using a mobile app (i.e. access to discounts) moderates the effect of attitudes toward ads promoting regular products when a high discount is offered.

To the best of the author’s knowledge, this is one of the first studies to explore how interactions among important factors in contexts involving mobile apps and holiday promotions influence and mediate the relationship between brand trust and purchase intentions. This study also reveals an important boundary condition that moderates consumers’ responses to targeted mobile app ads in the context of holiday marketing.

I reexamine the conflicting results in Frank, Lynch, and Rego (2009) and Lennox, Lisowsky, and Pittman (2013). Frank et al. (2009) conclude that firms can manage book income upward and taxable income downward in the same period, implying a positive relation between aggressive book and tax reporting. Lennox et al. (2013) conclude the relation is negative and aggressive book reporting informs users that aggressive tax reporting is less likely. I identify four key differences in the research designs across the two studies, including measures of aggressive book reporting, measures of aggressive tax reporting, sample time periods, and empirical models. I systematically examine whether each of these differences is responsible for the conflicting results by altering the key difference while holding other factors as constant as possible. I find the relation between aggressive book and tax reporting is driven by the measure of aggressive book reporting, as the relation is positive for some subsets of firms and negative for others. Firms accused of financial statement fraud have a negative relation while nonfraud firms exhibit a positive relation. Using discretionary accruals, I also look for, but do not find a “pivot point” in the relation between aggressive book and tax reporting. I provide a better understanding of the relation between aggressive book and tax reporting by identifying research design choices that are responsible for prior results. I show that measures of both discretionary accruals and financial statement fraud are necessary to gain a more complete picture of the relation between aggressive book and tax reporting.

A significant body of extant empirical evidence has shown that online customer reviews (OCRs) are important in driving organizational performance outcomes. However, it is posited in this manuscript that the relationship between OCRs and organizational performance is unlikely to be the same in all cases. This paper aims to study if niche organizations experience different performance impacts from OCR activity than mainstream organizations do.

To test the hypothesized predictions, an empirical analysis is conducted in the context of higher education in the USA, where liberal arts colleges are classified as niche organizations and research universities are classified as mainstream organizations. The regression methods are used to analyze archival data on these organizations of interest.

The first major finding is that niche organization status positively influences the relationship between OCR valence and organizational performance outcomes. Second, a large volume of OCRs is found to have a negative impact on performance outcomes for niche organizations.

The research uncovers important differences in the relationship between OCRs and organizational performance for niche and mainstream organizations. These findings add to the extant body of literature on this area of inquiry by providing further nuance to the existing arguments and empirical evidence.

This study aims to investigate a sharing economy context, where vacation rental units that are owned and operated by individuals throughout the world are rented out through a common website: vrbo.com. It is posited that gross domestic product (GDP) per capita, a common indicator of the level of economic development of a nation, will impact the likelihood that prospective travelers will choose to book accommodations in the sharing economy channel (vs traditional hotels). The role of online customer reviews in this process is investigated as well, building upon a significant body of extant research which shows their level of customer decision influence.

An empirical analysis is conducted using data from the website Vacation Rentals By Owner on 1,940 rental listings across 97 countries.

GDP per capita serves as risk deterrent to prospective travelers, making the sharing economy an acceptable alternative to traditional hotels for the average traveler. It is also found that the total number of online customer reviews (OCR volume) is a signal of popularity to prospective travelers, while the average star rating of those online customer reviews (OCR valence) is instead a signal of accommodation quality.

This study adds to a growing agenda of research investigating the effect of online customer reviews on consumer decisions, with a particularly focus on the burgeoning sharing economy. The findings help to explain when the sharing economy may serve as a stronger disruptive threat to incumbent offerings. It also provides the following key insights for managers: sharing economy rental units in developed nations are more successful in driving booking activity, managers should look to promote volume of online customer reviews and positive online customer reviews are particularly influential for sharing economy rental booking rates in less developed nations.

The purpose of this paper is to develop an understanding of the experience of secure care from the patients’ perspective.

A systematic review of qualitative literature was conducted. The data was sourced from the electronic databases: PsychINFO, CINAHL, Medline and the Web of Science Core Collection using pre-defined search terms. A total of 17 studies, conducted in various countries worldwide and covering high, medium and low secure inpatient settings, were included for review. The analysis involved integrating findings from across the literature and was guided by thematic synthesis.

A total of eight themes were generated from the data, three of which provided an understanding of the experience of forensic secure care, and the remaining five themes provided an understanding of the factors which may influence the experience of secure care.

Developing understanding of patient experience can lead to service improvements, potentially impacting patients’ motivation and engagement and thus reducing admission times, potential recalls and recidivism.

To the best of the authors’ knowledge, this is the first systematic review to date to exclusively explore the broad topic of the patient experience of secure mental health care.

The purpose of this paper is to investigate how individuals respond to messages asking for donations in broadcast advertising. It does so by considering both preexisting attitudes and beliefs related to donating, as well as message processing. The goal is to uncover messages that may help nonprofit organisations increase donations.

The research combines the theory of planned behaviour (TPB) to measure preexisting beliefs and the elaboration likelihood model (ELM) to measure involvement in an investigation of donation responses to broadcast-quality advertisements developed by a professional ad agency featuring the following two messages: one that leverages social norms and another that legitimises minimal giving. Two studies collected data from a total of 544 respondents in two between-subjects 2 × 2 × 2 experiments.

Injunctive norm messages affect the intended donation behaviour of individuals who are pre-disposed to donating, but only if they are highly involved with the ad. Social legitimisation messages affect donations from individuals who look to referents to direct behaviour, but unlike what was expected, only by those not highly involved with the ad. Similarly, individuals who do not think they can donate increased donations when they saw the legitimisation message and had low advertisement involvement.

Results extend the ELM-TPB integrated framework by discovering when and how involvement drives intended donation behaviour. The research also sheds light on message processing by focussing on the preexisting characteristics of recipients.

The results provide nonprofit managers with strategies to increase donations with targeted messages. Those who pay attention to the ad and have a positive attitude toward giving are going to donate if they are told others support the cause. Therefore, the focus should be on those who are not involved with the ad but still believe giving is appropriate.

This research is the first to use the ELM-TPB framework to discover that ELM has varying utilities and values from TPB in different ad contexts.

After decades of hypergrowth, since the 2008 global financial crisis there has been a deceleration of globalization and a partial jamming of its main engines (trade and foreign direct investment [FDI]). This study aims to critically reflect on the current phase, labeling it as “win-lose globalization” characterized by firm-firm competition increasingly intertwined with that between the respective nation-states, which aim to be the relative winners, even at the expense of joint absolute gains. Acting as “strategists,” states implement policies to weaponize economic interdependences, which the paper analyzes.

The approach is “problem setting” rather than “problem solving.” The latter offers well-defined solutions but often assumes unambiguous definitions of problems, which obscure their complexity. This phase is so intricate that the problem itself is problematic. Thus, to advance knowledge, the focus is given on nation-state policies: FDI screening and the politicization of international trade relations; protectionism; misuses of antitrust and regulation.

The intensification of firm-firm/state-state competition, seeking disproportionate gains over rivals, is the ultimate result of the contradictions and dissatisfactions accumulated over decades of globalization, the benefits of which have been far from equally distributed. Conflicts in international economic relations are bound to intensify, and a return to win-win globalization is unlikely. International cooperation to strengthen existing/new supranational governance institutions in the interest of absolute global inclusive benefits is urgently needed.

The paper integrates the international business debate on the fate of globalization with interpretations from industrial policy studies and international relations theory. This allows for suggestions for policymakers, corporate executives and scholars.