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Smartphone apps collect users' personal information, which triggers privacy concerns for app users. Consequently, app users restrict apps from accessing their personal information. This may impact the effectiveness of in-app advertising. However, research has not yet demonstrated what factors impact app users' decisions to use apps with restricted permissions. This study is aimed to bridge this gap.

Using a quantitative research method, the authors collected the data from 384 app users via a structured questionnaire. The data were analysed using AMOS and fuzzy-set qualitative comparative analysis (fsQCA).

The findings suggest privacy concerns and risks have a significant positive effect on app usage with restricted permissions, whilst reputation, trust and perceived benefits have significant negative impact on it. Some app-related factors, such as the number of apps installed and type of apps, also impact app usage with restricted permissions.

Based on the findings, the authors provided several implications for app stores, app developers and app marketers.

This study examines the factors that influence smartphone users' decisions to use apps with restricted permission requests. By doing this, the authors' study contributes to the consumer behaviour literature in the context of smartphone app usage. Also, by explaining the underlying mechanisms through which the principles of communication privacy management theory operate in smartphone app context, the authors' research contributes to the communication privacy management theory.

This study aims to integrate the theory of planned behavior (TPB) and the value-belief-norm (VBN) theory into a meta-analytic framework to synthesize green consumption literature.

By integrating the findings from 173 studies, a meta-analysis was performed adopting several analytical methods: bivariate analysis, moderation analysis and path analysis.

VBN- and TPB-based psychological factors (adverse consequences, ascribed responsibility, personal norms, subjective norms, attitude and perceived behavioral control) mediate the effects of altruistic, biospheric and egoistic values on green purchase intention. Further, inconsistencies in the proposed relationships are due to cultural factors (i.e. individualism-collectivism, power distance, uncertainty avoidance, masculinity–femininity, short- vs long-term orientation and indulgence-restraint) and countries’ human development status.

The authors selected papers published in English; hence, other relevant papers in this domain published in other languages might have been missed.

The findings are useful to marketers of green offerings in designing strategies, i.e. specific messages, targeting different customers based on countries’ cultural score and human development index, to harvest positive customer responses.

This study is the pioneering attempt to synthesize the TPB- and VBN-based quantitative literature on green consumer behavior to resolve the reported inconsistent findings.

The purpose of this study is to explore and identify the privacy concerns of smartphone app users pertinent to app usage.

Adopting a qualitative phenomenological approach, the authors conducted semi-structured interviews with app users to explore the app users' privacy concerns.

Credibility concerns, unauthorised secondary use and vulnerability concerns are the three major privacy concerns of app users, under which these concerns have sub-concerns, i.e. popularity, privacy policy, stalking, data sharing, hacking and personal harm.

The findings are useful to app marketers, app developers and app stores. App marketers, app developers and app stores can use the findings to understand and properly address app users' privacy concerns, thereby increasing the apps usage.

By exploring the privacy concerns of app users, the authors' study extends the literature and provides a theoretical development of individuals' privacy concerns in the context of a widely used technology, i.e. smartphone applications. Accordingly, this study contributes to the consumer privacy literature.

The paper explores the beliefs and perceptions of microfinance institution (MFI) managers about environmental threats and the role that green microfinance can play in mitigating them, to assess their influence on these institutions' engagement in green activities.

Drawing on protection motivation theory, the study follows a qualitative case study approach, focusing on the MFIs of the developing country of Cabo Verde.

Findings indicate that MFI managers understand and are aware of the environmental threats and identify their customers as the most vulnerable to them. They seem motivated to increase their green activity in the future as it is generally seen as effective in mitigating the problems. However, their response capacity is hindered by limitations such as a lack of financial conditions and technical environmental knowledge.

MFIs play an important role in promoting self-employment and breaking the poverty cycle, but their funds are also often used to develop environmentally damaging practices. Green microfinance can contribute to targeting a triple bottom line; considering together people, profit and the planet, provided implementation challenges are addressed.

Although the environmental behaviour of MFIs has been previously studied, the understanding of the core beliefs of MFI managers that can support their environmental actions is still limited. Thus, the study contributes to advancing the knowledge of green microfinance by considering individual-level factors in understanding organisational greening.

The growth in social content such as video facilitates consumer exposure to social information at e-tail settings. Research has recommended enhancing the e-store socialness. Focusing on focal consumer outcomes (flow and purchase intentions), the current research delineates a boundary condition, proposing that e-tail socialness improves outcomes when the consumer interdependent self, rather than the independent self, is activated.

The experimental approach is employed to test the research thesis. Two experiments (N1 = 303 Females 42.4%; N2 = 387 Females 51.4%) that used different manipulation for socialness and sample frames (USA and Canadian) are performed. Analysis of variance was applied.

The results generally support the research thesis, suggesting that e-tail socialness enhances consumer flow and purchase intentions when the interdependent self is activated. The effect, however, is marginal for segments with high brand preference.

As more information increase overload and reduce decision quality, e-tail practitioners should focus on providing social information predominately for consumers whose interdependent self is activated. This recommendation is particularly relevant for segments with low brand preference.

So far, studies recommend enhancing the e-store socialness, or increasing the social volume, to achieve better outcomes. Such research stream is giving rise to the “social is better in e-tail” conventional wisdom. The current work contributes by delineating a boundary condition based on consumer self-construal. This work suggests that the use of online socialness is fruitful predominantly for interdependent consumers.

The present study investigates the customers' behavioural intention to use voice-based artificial intelligence (AI) to find the appropriate hotels and resorts in an emerging nation. This study determines the influences of information quality, system quality, privacy, and novelty value on attitude and behavioural intention to use voice-based artificial intelligence to obtain the appropriate information and find the location of the hotels and resorts.

This study used a purposive sampling method for collecting data from the respondents, who are customers of the hotels and resorts in Bangladesh. A self-administered survey questionnaire was used to obtain responses from 378 respondents. After collecting the data, the reliability and validity of the constructs and hypotheses were tested via partial least squares structural equation modelling (PLS-SEM).

The findings of the study indicate that information quality, system quality, privacy and novelty value have a positive and significant impact on attitude and behavioural intention to use voice-based AI assistant services in an emerging nation. However, system quality does not significantly influence behavioural intention to use voice-based AI assistant but it has an indirect significant influence on behavioural intention through the mediation effect of attitude.

The study’s findings provide essential guidelines for practitioners to understand the impacts of information quality, system quality, privacy, and novelty value on attitude and behavioural intention to use voice-based artificial intelligence to find the appropriate hotels and resorts to meet customers' needs and expectations.

This study contributes to the existing literature on technology adoption by highlighting the interconnectedness of various factors influencing users' behavioural intentions. The study’s focus on an emerging nation provides a valuable theoretical contribution. It highlights that user perceptions and attitudes towards technology adoption may differ from those in developed nations due to unique contextual factors.

South Africa is increasingly becoming an attractive market for luxury fashion brands due to the growing middle-income consumer segment, which is perceived to be upwardly mobile. Despite evidence of black South African's exhibition of heightened interest in conspicuous consumption (CC), there seems to be limited research addressing the drivers and implications of such behaviour. This study aims to investigate the antecedents of CC by middle-income black South Africans and the marketing implications thereof.

This study employed a survey questionnaire approach and a quantitative methodology for primary data collection. Data were gathered from a sample of 170 respondents across South Africa and analysed using structural equation modelling (SEM) through SPSS and Mplus software. Confirmatory factor analysis was used to test model fit, reliability and validity of measurement instruments, while path modelling was used to test hypotheses adopted by this report.

Among the major findings made by this report was that social class signalling positively influenced CC. In contrast, CC was not predicted by status consumption (SC). This study concluded that social factors motivated the CC of luxury fashion brands by middle-income black South Africans.

This study's key recommendations were for marketing professionals to imbue overt status cues in their brand campaigns to drive the consumption of luxury fashion brands. Future studies could investigate whether or not the findings of this study are applicable across ethnic demographics in South Africa.

The study extends the discourse of the antecedents of ethnic consumer behavioural patterns in a historically segregated market. It weighs in on the growing research addressing factors driving the middle-income population from emerging economies to consume luxury fashion brands conspicuously.

Fuzzy-set qualitative comparative analysis (fsQCA) is explored as a transformative tool rooted in complexity theory, shedding light on uncertainties shaping real-world decisions in tourism, with a focus on its application in the hospitality domain.

This study systematically evaluates fsQCA’s application in hospitality and tourism research, employing bibliometric analysis to scrutinize the published literature since its induction in 2011. The research seeks to understand the evolving usage by qualitatively reviewing impactful studies based on total citations.

The study reveals the ascendancy of fsQCA as a predominant approach in hospitality and tourism studies, particularly in illuminating decision-making paradigms in key sectors like destination and hotel selections and entrepreneurial orientations. However, an absence of fsQCA applications in gastronomy and wine tourism is identified, signaling uncharted territories for future inquiry.

Theoretical implications include paradigm shifts to complexity theory, configural analysis and asymmetric algorithms. Practical implications involve improved decision-making and tailored marketing, benefiting industry practitioners. Limitations include potential academic bias, while future research suggests exploring sub-sectors, sustainability and emerging technologies.

This study identifies gaps in the fsQCA application and pioneers its examination within the hospitality domain, offering a unique perspective on understanding intricate relationships and configurations among variables. The study emphasizes the efficacy of asymmetric methodologies in elucidating behavioral nuances in hospitality and tourism, providing a foundation for future inquiries to expand horizons and unravel the nuanced applications of fsQCA in this research domain.

Given resource constraints such as time and staffing, hotels cannot respond to all negative online reviews (NORs). Therefore, this study investigates (1) what types of NORs hotels should prioritize responding; and (2) what response strategies are more effective in handling different types of NORs to minimize the negative ramifications.

Four experiments in the context of hospitability were used to test the hypotheses.

Our findings show that NORs with implicit conclusions (e.g. “I do not believe that is a good choice, you know what I mean.”) are more dissuasive than NORs with explicit ones (e.g. “Do not buy it.”) because the former NORs are perceived as more objective than the latter NORs. More importantly, our results show that firms do not need to respond to explicit NORs. When responding to implicit NORs, firms should prioritize those related to service failures caused by external (e.g. weather, technological misfunction) rather than internal (e.g. poor management, employee skills) factors.

Our studies focus on the language styles of Chinese NORs, and future research should investigate how language styles influence dissuasion in other languages.

Our results show that NORs with implicit conclusions negatively impact consumer attitude and thus hurt performance more significantly than those with explicit conclusions. Therefore, firms should allocate limited staffing and resources to NORs with implicit conclusions. When responding to implicit NORs, firms should select NORs that can be attributed to external factors.

Our findings shed light on the importance of the language styles of NORs and provide marketers with insights into how to handle NORs. Our results reveal that consumers perceive higher objectivity of NORs when these reviews are implicit than when they are explicit. Furthermore, this study contributes to the online review literature by suggesting that firms should tailor their response strategies for NORs based on the reviewers’ language styles.

Customer participation (CP) in service recovery is one of the ways to co-create value with the service provider. Most existing studies assume that customers are willing to participate in service recovery, provided the firm offers them the opportunity. In this study, the authors propose the construct named customer intention to participate in service recovery (CIPSR), develop a scale for it and argue that it is not always implicit but rather is dependent on the consumer's perceived control.

A multi-method approach was used with a combination of qualitative interviews, literature review, unaided dimension identification, correspondence analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modelling to develop the CIPSR scale. The authors used structural equation modelling to test the proposed effect of perceived control on CIPSR.

The study proposes a four-dimensional scale for CIPSR. The authors also found support for the effect of perceived control on CIPSR, with anxiety and failure controllability attribution as intermediate variables.

This study develops a comprehensive scale to measure CIPSR using a rigorous multi-method technique, as well as establishes its importance in the existing literature.