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This study aims to analyze and synthesize literature on consumer privacy-related behavior and intelligent device-to-device interactions within the Internet of Things (IoT).

We conducted a systematic review using Elsevier’s Scopus database, focusing on studies published in English from 2000 to 2023. The review targeted articles within selected social sciences and business disciplines, specifically concerning consumer behavior in IoT contexts.

We categorized the privacy literature into three thematic clusters: legislation and policy, business implications and consumer behavior. Within the consumer behavior cluster, our analysis indicates a shift from general Internet and e-commerce privacy concerns prior to 2016, toward issues related to advertising and policy between 2017 and 2018, and increasingly toward pronounced concerns in technological systems, particularly IoT, from 2019 onwards. We identify eight distinct areas of privacy concern within IoT and propose a framework that links antecedents and privacy concerns to subsequent attitudes and behaviors. This framework highlights varying patterns of information disclosure and bridges theoretical constructs with empirical research in IoT privacy.

Originality lies in enhancing the Antecedents-Privacy Concerns-Outcomes (APCO) macro-model by integrating diverse theoretical perspectives on technological and individual-specific antecedents, alongside privacy concerns and beliefs. This comprehensive integration enriches the framework, enabling it to predict and categorize consumer behavior in IoT environments more effectively. The revised model provides a robust tool for understanding privacy-related behavior within the IoT, significantly enriching its theoretical relevance and practical applicability.

The purpose of this study is to evaluate a bidimensional tool to measure overall service satisfaction: the evaluative space grid (GRID scale). The GRID scale provides a common measure for both positivity and negativity through 25 grid cells. The authors propose to use the GRID scale as an integrated measure of both satisfaction and dissatisfaction to capture mixed reactions or ambivalence.

Within a cross-sectional between-subjects survey design, this study compares overall satisfaction with bank services as measured on the GRID scale versus a traditional semantic differential (SD) scale.

The results show that the GRID scale performs as well as the SD scale with respect to different criteria, such as reliability and discriminant, convergent, nomological and predictive validity. However, it allows to measure separately indifference and ambivalence.

Such a distinction assists decision-makers with recommendations on different strategies not only to create customer loyalty based on satisfaction but also to encourage them to think how to decrease the levels of dissatisfaction and ambivalence.

The GRID scale would address survey needs of every business suffering from average performances. This tool provides them better in-depth overall satisfaction information, especially regarding the “middle-ground” customers.

The number of internet consumers who adopt ad-blocking is increasing rapidly all over the world. The purpose of this paper is to evaluate this phenomenon by: assembling the existing considerations and key theoretical aspects of the determinants of online ad-blocking; and by exploring the consumers’ beliefs and sentiments toward online ads and expected outcomes of ad-blocking behavior.

Data consist of 4,093 consumers’ opinions in response to the news items about ad-blocking, published by a leading news and technology website in the period 2010–2016. The unstructured data are analyzed using probabilistic topic modeling and sentiment analysis.

Five main topics are identified, unveiling the hidden structure of consumers’ beliefs. A sentiment analysis profiling the clustered opinions reveals that the opinions that are focused on the behavioral characteristics of ads express the strongest negative sentiment, while the opinions centered on the possibility to subscribe to an ad-free fee-financed website are characterized on average by a positive sentiment.

The findings provide useful insights for practitioners to create/adopt more acceptable ads that translate into less ad-blocking and improved internet surfing experience. It brings insights on the question of whether ad-free subscription websites have or do not have the potential to become a viable business opportunity.

The research: improves the current understanding of the determinants of ad-blocking by introducing a conceptual framework and testing it empirically; makes use of consumer-generated data on the internet; and implements novel techniques from the data mining literature.

The purpose of this paper is to investigate the role of relational competences, such as open-mindedness and the ability to adapt business style, in developing trustworthy relationships through communication in the export markets in different cultural contexts.

The analysis is performed on survey-based data from a sample consisting of 39.9 percent of the total population of Norwegian seafood companies involved in exporting, including 108 business relationships.

The findings reveal that adaptive business style and communication mediate the overall effect of open-mindedness on trust building between partners in the export markets. The adaptive business style fully explains the effect of open-mindedness on communication. Open-minded persons are better prepared to achieve communication on a high level because they are more likely to adapt to a new business style. Performing adaptive business style improves communication, particularly when the importer belongs to a dissimilar culture. For trust building, communication is equally important, irrespective of cultural differences.

Exporter should aim at recruiting open-minded people because they have the advantage that they are capable of performing a variety of negotiation styles and business approaches, depending on the situation.

This paper develops a model that integrates key constructs from the relational paradigm with constructs rooted in different research streams, extending our knowledge regarding salespeople competences that are important in order to develop business relationships in export markets.

In this study, we investigated the positive and negative effects of stress that is driven by responsible artificial intelligence (RAI) principles on employee job outcomes by adapting the challenge–hindrance stressors model.

The study design involved empirically validating the proposed model on 299 respondents who use AI for work-related tasks.

The results revealed several RAI-driven challenge and hindrance stressors related to employees’ positive and negative psychological responses and task performance in a digital workplace. Practitioners could use the RAI characteristics to improve employees’ RAI-driven task performance.

This study contributes to the ongoing discussion on technostress and awareness in the context of RAI in the AI literature. By extending the C-HS model to the RAI context, it complements the context-specific technostress literature by conceptualizing different characteristics of RAI as RAI-driven stressors.

Adoption and use of technologies like RAI are not automatically translated into expected job outcomes. Instead, practitioners and academicians also need to know whether the RAI characteristics actually help employees show positive or negative behavior. Furthermore, relying on the challenge–hindrance stressor (C-HS) model, we try to reveal the beneficial and detrimental effects of different RAI characteristics on employees’ job outcomes.

This study aims to address the role of habit strength in explaining loyalty behaviour.

The study uses 2,063 consumers' data from a survey in Denmark and Spain, and multigroup structural equation modelling to analyse the data. The paper describes an approach employing the psychological meanings of the habit construct, such as automaticity, lack of awareness or very little conscious deliberation.

The findings suggest that when habits start to develop and gain strength, less planning is involved, and that the loyalty behaviour sequence mainly occurs guided by automaticity and inertia. A new model with habit strength as a mediator between satisfaction and loyalty behaviour provides a substantial increase in explained variance in loyalty behaviour over the traditional model with intention as a mediator.

This study contributes to the existent literature by providing an extension of the prevalent consumer loyalty theorizing by integrating the concept of habit strength and by generating new knowledge concerning the conscious/strategic and unconscious/automatic nature of consumer loyalty. The study derives managerial implications on how to facilitate habit formation and how to influence habit‐based versus intention‐based loyalty behaviour. The external validity of this study is assured by nationwide representative samples in two countries.