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This study aims to provide a systematic review of consumer privacy literature in the context of smartphones and undertake a comprehensive analysis of academic research on this evolving research area.

This review synthesises antecedents, consequences and mediators reported in consumer privacy literature and presents these factors in a conceptual framework to demonstrate the consumer privacy phenomenon.

Based on the synthesis of constructs reported in the existing literature, a conceptual framework is proposed highlighting antecedents, mediators and outcomes of experiential marketing efforts. Finally, this study deciphers overlooked areas of consumer privacy in the context of smartphone research and provides insightful directions to advance research in this domain in terms of theory development, context, characteristics and methodology.

This study significantly contributes to consumer behaviour literature, specifically consumer privacy literature.

Many manufacturers are exploring adopting smart technologies in their operations, also referred to as the shift towards “Industry 4.0”. Employees' contribution to high-tech initiatives is key to successful Industry 4.0 technology adoption, but few studies have examined the determinants of employee acceptance. This study, therefore, aims to explore how managers affect employees' acceptance of Industry 4.0 technology, and, in turn, Industry 4.0 technology adoption.

Rooted in the unified theory of acceptance and use of technology model and social exchange theory, this inductive research follows an in-depth comparative case study approach. The two studied Dutch manufacturing firms engaged in the adoption of Industry 4.0 technologies in their primary processes, including cyber-physical systems and augmented reality. A mix of qualitative methods was used, consisting of field visits and 14 semi-structured interviews with managers and frontline employees engaged in Industry 4.0 technology adoption.

The cross-case comparison introduces the manager's need to adopt a transformational leadership style for employees to accept Industry 4.0 technology adoption as an organisational-level factor that extends existing Industry 4.0 technology user acceptance theorising. Secondly, manager's and employee's recognition and serving of their own and others' emotions through emotional intelligence are proposed as an additional individual-level factor impacting employees' acceptance and use of Industry 4.0 technologies.

Synthesising these insights with those from the domain of Organisational Behaviour, propositions were derived from theorising the social aspects of effective Industry 4.0 technology adoption.

While the metaverse is promised to be the next big step for the Internet, this new technology may also bear negative impacts on individuals and society. Drawing on innovation resistance literature, this article explores the reasons for metaverse resistance.

The study is based on 66 semi-structured interviews, and the subsequent data were analysed thematically.

The findings revealed 11 reasons for metaverse resistance: lack of understanding, lack of regulation, addiction avoidance, claustrophobia, loss of social ties, disconnection from reality, privacy concerns, extreme consumer society, unseen benefits, infeasibility and nausea.

By understanding the various reasons for metaverse resistance managers and policymakers can make better decisions to overcome the challenges facing this innovation, rather than adopting a “one-size-fits-all” approach.

While the literature has mainly adopted a positive perspective on the metaverse, this research offers a more nuanced view by identifying the reasons why consumers may resist the metaverse. Furthermore, this study introduces for the first-time “addiction-driven-innovation-resistance (ADIR)” as a potential reason for metaverse resistance, which may also apply to other cases of innovation resistance, when new innovations are perceived as being “too good” and therefore potentially addictive.

This study aims to elucidate the process and internal mechanism of place identity construction in traditional villages under the impact of tourism by taking Cuandixia village as a case. The research methods comprise participatory observation and in-depth interviews with the residents. The main results are as follows: the impact of tourism on traditional villages is mainly reflected in space reconstruction, livelihood change, social relations restructuring and culture change; under the impact of tourism, the representation of residents’ identity construction shows complexity, with positive and negative effects; and the place identity construction of residents affects their perception of and attitudes toward tourism. Moreover, self-esteem and self-efficacy principles play a key role in their perception of tourism. This study provides some reference for further investigation of the tourism development model and the mental mechanism of residents in traditional villages.

This study aims to argue that user’s continued use behavior is contingent upon two perceptions (i.e. the app and the provider). This study examines the moderating effects of user’s perceptions of apps and providers on the effects of security and privacy concerns and investigate whether assurance mechanisms decrease such concerns.

This study conducts a scenario-based survey with 694 mobile cloud computing (MCC) app users to understand their perceptions and behaviors.

This study finds that while perceived value of data transfer to the cloud moderates the effects of security and privacy concerns on continued use behavior, trust only moderates the effect of privacy concerns. This study also finds that perceived effectiveness of security and privacy intervention impacts privacy concerns but does not decrease security concerns.

Prior mobile app studies mainly focused on mobile apps and did not investigate the perceptions of app providers along with app features in the same study. Furthermore, International Organization for Standardization 27018 certification and privacy policy notification are the interventions that exhibit data assurance mechanisms. However, it is unknown whether these interventions are able to decrease users’ security and privacy concerns after using MCC apps.

The main purpose of this research is exploring the tipping points for a radical shift in supplier (dis)satisfaction. This study identifies triggers and links them to consequences for the buyer–supplier relationship.

The Critical Incident Technique (CIT) was used to interview Dutch supplier representatives in the infrastructure sector, resulting in rich descriptions of 29 critical incidents, extracting first-hand information.

Safety issues, technical disputes and recruitment of supplier’s technical staff have been identified as tipping points for suppliers to become dissatisfied. Implementing performance-based contracting is another critical incident that caused irritation and disappointment. On a more operational level, dissatisfaction was provoked by tender errors and price discussions with the buyer. This study also identified tipping points by which dissatisfied suppliers abruptly turned into satisfied suppliers. The effect of a solution-oriented buyer intervention appears to be most powerful if this behaviour transcends prior expectations.

Consequences of misunderstandings and discussion between supplier and buyer may be manageable or repairable, depending on the causes and triggers that influenced a supplier’s dissatisfaction. An early warning system could prove its worth, so that buyers are not faced with unpleasant surprises.

Despite the growing number of studies, processes of how antecedents lead to supplier (dis)satisfaction are not well understood. Antecedents are predominantly investigated by cross-sectional survey data, giving little insights into micro-processes and actual interaction between buyers and suppliers. Although CIT has been applied in many disciplines, the technique is hardly used within the context of purchasing and supply management research.

Despite its significance, research on how attribute framing affects ordering decisions in dual sourcing remains insufficient. Hence, this study investigated the effects of attribute framing in a sourcing task involving certain and uncertain qualities of two suppliers and analysed the role of attention with respect to suppliers' information in framing effects.

The impacts of attribute framing on sourcing decisions were demonstrated in two online between-subject (2 × 2 factorial) experimental studies involving professional samples. Study 2 was an eye-tracking experiment.

In Study 1 (N = 251), participants presented with a “high-quality” rather than a “low-quality” frame made different sourcing decisions, opting for larger percentage of order(s) from a supplier under the “high-quality” frame. This pattern holds true for suppliers who differ in risk. This finding was replicated in Study 2 (N = 129). Attention asymmetry related to the information on supplier quality contributes to this effect. Attention directed towards information regarding the supplier's quality under a positive frame mediated the relationship between attribute framing and sourcing decisions.

Highlighting the positive attributes of a risky supplier is essential when ordering from the risky supplier is an optimal decision. It is advantageous for suppliers to highlight positive rather than negative attributes when describing the quality of their components against others.

This is the first study to examine the effect of attention on the relationship between attribute framing and dual sourcing. This presents a new behavioural perspective wherein managers' attention to information plays a vital role.

Using the social constructivist perspective of learning, this study aims to examine the patterns and the key areas of entrepreneurial learning based on a case study of 16 participants who were the incubatees of two technology-based business incubators in China. The key research question is: how do novice entrepreneurs, focusing on technology-based business incubators, learn from a social constructivist perspective?

The researchers applied a qualitative methodology in this study as they wanted to understand better the complexity of the learning process that is hard to achieve quantitatively. The qualitative data was collected through in-depth interviews with the incubatees, who were the managers and owners of their businesses. The interviews with the entrepreneurs were mainly focused on the learning patterns and the factors influencing learning through the use of the critical incident technique.

This will allow incubator managers to better evaluate the extent of effective entrepreneurial learning within the incubator's eco-system. The results show that the participants learn through socially constructivist systems that are structured around the support provided by the incubators. Learning in this context takes place in an extended spectrum, and participants are more interested in learning from networking with experienced entrepreneurs rather than from other incubatees or formal courses. Findings of this study help incubator managers and novice entrepreneurs to better shape learning and teamwork in an effort to improve the learning process. Policy makers should consider introducing schemes that encourage novice entrepreneurs to exhibit the creativity and innovation behaviour reported by experienced entrepreneurs.

The focus of this study is primarily on incubators as the context of learning, whereas the macro-environmental factors, such as the socio-cultural and regulatory environments in China, were considered as playing a subtle role and would affect the incubatees' learning indirectly. The paper is based on a relatively small sample size and is geographically located in Ningbo, China. As such, the authors call for further research for comparative studies with a larger sample size so that a possible theory of entrepreneurial learning in the context of incubators might emerge in the future.

Extensive research has demonstrated the influence of job resources on mitigating the impact of high job demands on individual well-being. Still, little is known about how individuals use job resources to cope. This study advances job demands-resources (JD-R) theory by investigating the process of job resource utilization from a coping perspective.

This study is based on in-depth interviews with 32 Chinese senior executives using a Critical Incident Technique (CIT) for data collection and thematic analysis for data analysis.

Data analysis reveals a 2x2 matrix model of resource utilization, highlighting the relevance of internal and external job resources in coping and resource creation.

The findings suggest that work stress intervention should look beyond the organizational domain and assist senior executives in exploring and developing external resources for coping. Additionally, organizations should equip senior executives with sufficient support to create new job resources that effectively manage complicated job demands.

The results of this study extend the understanding of job resources by distinguishing internal and external job resources. It also provides a dynamic view of resource utilization, emphasizing the role of job crafting in creating adaptable job resources to meet job demands.

This review provides an overview of recent advances in electrochemical sensors for analyte detection in saliva, highlighting their potential applications in diagnostics and health care. The purpose of this paper is to summarize the current state of the field, identify challenges and limitations and discuss future prospects for the development of saliva-based electrochemical sensors.

The paper reviews relevant literature and research articles to examine the latest developments in electrochemical sensing technologies for saliva analysis. It explores the use of various electrode materials, including carbon nanomaterial, metal nanoparticles and conducting polymers, as well as the integration of microfluidics, lab-on-a-chip (LOC) devices and wearable/implantable technologies. The design and fabrication methodologies used in these sensors are discussed, along with sample preparation techniques and biorecognition elements for enhancing sensor performance.

Electrochemical sensors for salivary analyte detection have demonstrated excellent potential for noninvasive, rapid and cost-effective diagnostics. Recent advancements have resulted in improved sensor selectivity, stability, sensitivity and compatibility with complex saliva samples. Integration with microfluidics and LOC technologies has shown promise in enhancing sensor efficiency and accuracy. In addition, wearable and implantable sensors enable continuous, real-time monitoring of salivary analytes, opening new avenues for personalized health care and disease management.

This review presents an up-to-date overview of electrochemical sensors for analyte detection in saliva, offering insights into their design, fabrication and performance. It highlights the originality and value of integrating electrochemical sensing with microfluidics, wearable/implantable technologies and point-of-care testing platforms. The review also identifies challenges and limitations, such as interference from other saliva components and the need for improved stability and reproducibility. Future prospects include the development of novel microfluidic devices, advanced materials and user-friendly diagnostic devices to unlock the full potential of saliva-based electrochemical sensing in clinical practice.