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The rise of mobile technologies has driven rapid growth in mobile banking (m-banking), making service quality a central area of inquiry for researchers and industry practitioners alike. Despite this focus, understanding of service quality in m-banking remains fragmented. In this regard, this article endeavors to provide a comprehensive, state-of-the-art overview of service quality in m-banking.

Drawing on a systematic review of 71 studies, this article explores the concept of service quality in m-banking through the lens of theories, constructs, contexts, and methods (TCCM), revealing the multifaceted nature of service quality and its role in m-banking.

The review underscores the multifaceted nature of service quality and its pivotal role in steering pivotal customer-centric outcomes in m-banking. Introducing the stimulus-organism-response (S-O-R) framework into the discourse of m-banking, the review reveals a range of quality-, system success-, and user-based stimuli, affecting m-banking users’ attitude, brand attachment, flow, and trust, thus shaping their intended and actual behavior, including usage, satisfaction, loyalty, and word-of-mouth. Further scrutiny underscores opportunities for renewed endeavors to bridge identifiable gaps by harnessing mixed methods, exploring new constructs, probing demographic and cross-cultural variations, and forging new instruments tailored to evaluate contemporary m-banking service quality.

This review distinguishes itself by providing a comprehensive and systematic exploration of service quality in m-banking through the lens of TCCM. Unlike previous studies that often focus on isolated aspects, this review integrates diverse perspectives to offer a holistic understanding of service quality in m-banking. Employing the S-O-R framework, this review not only maps the pathways from service quality stimuli to user responses but also identifies critical gaps and promising directions.

This study aims to integrate the four-dimensional corporate social responsibility (economic, legal, ethical and philanthropic responsibility) with environmental responsibility. It also aims to measure how service quality and corporate image mediate the effects of the five CSR dimensions on customer retention.

This research employs structural equation modelling to test the proposed conceptual model. About 217 valid questionnaires were collected online from customers of restaurants in Tehran.

The results show that legal, ethical, philanthropic and environmental dimensions positively and significantly impact corporate image and service quality. Moreover, corporate image and service quality mediate the effects of the five CSR dimensions on customer retention.

Managers may learn that by enhancing their environmental responsibility, they are also working on increasing service quality and corporate image and, in turn, customer retention. Restaurants can differentiate themselves from competitors and attract and retain environmentally conscious customers, ultimately contributing to their competitive advantage.

This research extends Carroll’s dimensions by incorporating environmental responsibility, demonstrating its potential to boost service quality and corporate image for customer retention. A noteworthy contribution is introducing environmental responsibility as a novel dimension of CSR within the restaurant and food industry. Recognising the increasing importance of environmental sustainability in academic and societal discourse, it was crucial to consider the environment as a distinct aspect of this research.

The extensive brand associations research lacks organisation when it comes to the used information cues. This paper aims to systematically map and categorise the brand knowledge associations’ components and develop a typology applicable to any brand.

Using the restaurant and hotel industries in four different European cultural clusters as contexts, this work uses well-established systematic qualitative analysis approaches to categorise, code and model pictorial content in two studies. A four-stage sampling process identified Instagram brand-posted signals (photos), 243 from 26 restaurants in Madrid, Paris and Rome for study one and 390 from 29 hotels in Moscow, Berlin and Stockholm for study two. Adhering to relevant guidelines, the manual coding procedures progressed from 246 for restaurants and 231 for hotels initially generated free information coding inductive codes to a theory-informed categorisation. Quantitative analysis complemented the qualitative analysis, revealing the information cues relative utilisation.

For both studies, the analysis produced a typology consisting of two high-level and five lower-level brand knowledge association categories, namely: (a) brand characteristics consisting of the brand as a symbol, the brand as a product and the brand as a person, and (b) brand imagery consisting of user imagery and experience imagery. The five lower-level categories comprise of sub-categories and dimensions, providing a more comprehensive understanding of the brand associations conceptual structure relevant to brands operating in any industry.

Researchers can use this typology to holistically encapsulate brand associations or design projects aiming to deepen brand knowledge association aspects/dimensions understanding.

Managers can use this typology to portray brands. Some of the identified lower-level categories and/or sub-categories and dimensions are likely to need customisation to fit specific contexts.

The suggested categorisation offers a solid, comprehensive framework for effectively categorising and coding brand knowledge associations and proposes a new theory in the form of a typology.

This study differentiates pure impulse buying behaviour from suggestive impulse buying behaviour in using mobile shopping applications (apps). This study aims to assess the moderating effects of instant discount and cashback promotional offers along with the mediating effects of impulse buying intention (IBI) and user satisfaction (US), using the app stimuli (performance expectancy, effort expectancy, layout, atmosphere, privacy and security).

The study was done in three stages: analysis of variance, followed by structural equation modelling (SEM) and paired t-tests.

The results showed that instant discounts and cashback offers are different from each other for the mediating variable IBI. The SEM results for pure impulse buying showed that, except for layout, the remaining variables have a positive relationship with IBI. For suggestive impulse buying, effort expectancy and layout were significantly related to both the mediating variables. Finally, pure and suggestive impulse buying behaviour showed significant differences.

Previous studies have looked into impulse buying in its generic sense and not through the “types” of impulse buying they were measuring. As impulse buying behaviour is a predominant theme for discussion today, marketing professionals and researchers must comprehend the impact of app stimuli in the context of select types of impulse buying behaviour.

This paper aims to explore three operations and supply chain management (OSCM) approaches for meeting the 2 °C targets to counteract climate change: adaptation (adjusting to climatic impacts); mitigation (innovating towards low-carbon practices); and carbon-removing negative emissions technologies (NETs). We suggest that adaptation nor mitigation may be enough to meet the current climate targets, thus calling for NETs, resulting in the following question: How can operations and supply chains be reconceptualized for NETs?

We draw on the sustainable supply chain and transitions discourses along with interview data involving 125 experts gathered from a broad research project focused on geoengineering and NETs. We analyze three case studies of emerging NETs (biochar, direct air carbon capture and storage and ocean alkalinity enhancement), leading to propositions on the link between OSCM and NETs.

Although some NETs are promising, there remains considerable variance and uncertainty over supply chain configurations, efficacy, social acceptability and potential risks of unintended detrimental consequences. We introduce the concept of transformative OSCM, which encompasses policy interventions to foster the emergence of new technologies in industry sectors driven by social mandates but lack clear commercial incentives.

To the best of the authors’ knowledge, this paper is among the first that studies NETs from an OSCM perspective. It suggests a pathway toward new industry structures and policy support to effectively tackle climate change through carbon removal.

South Africa is the leading market for luxury goods in Africa – a fact evident from the statistics on luxury retail and the expanding footprint of international and local luxury brands. In a market that is dominated by prominent international brands, indigenous South African brands are seldom the subject of empirical research. This study addresses this gap by analysing the consumer-based brand equity (CBBE) of South African luxury fashion brands and its outcomes on the purchase/repurchase intention of consumers of South African luxury fashion brands.

The study adopted quantitative research methods and utilized survey questionnaires to acquire data from 130 respondents. Structural equation modelling was used in testing the proposed alternative hypotheses.

The study affirmed the relevance of Aaker's (1991) CBBE model for luxury goods in the emerging economy of South Africa. It established perceived quality and behavioural loyalty as significant predictors of brand equity while affirming the prevalence of hedonism and behavioural loyalty in South Africa's luxury fashion market.

The small sample size and the limited geographic scope of the study had a significant adverse impact on the broad application of the study's outcome. Furthermore, Aaker's (1991) CBBE model, while adequate, may have diminished the probability of a nuanced outcome.

This study advances the frontiers of interdisciplinary research by applying the marketing framework of CBBE to fashion studies in South Africa. The validated measurement scale, which emphasises the relevance of hedonism and behavioural loyalty in South Africa, may be useful for a similar study on luxury fashion brands in other emerging economies.

This study aims to examine the links between carbon emissions, electric vehicles, economic growth, energy use, and urbanisation in 15 countries from 2010 to 2020.

This study adopts seminal panel methods of moments quantile regression with fixed effects to trace the distributional aspect of the relationship. The reliability of methods is confirmed via fully modified ordinary least squares coefficients.

This study reveals that fossil fuel use, economic activity, and urbanisation negatively impact environmental quality, whereas renewable energy sources have a significant positive long-term effect on environmental quality in the selected panel of countries.

The main limitation of this study is the generalisability of the findings, as the study is confined to a limited number of countries, and focuses on non-renewable and renewable energy sources.

Finally, this study proposes several policy recommendations for decision-makers and policymakers in the 15 nations to address climate change, boost sales of electric vehicles, and increase the use of renewable energy sources.

This study calls for a comprehensive transition towards green energy in the transportation sector, enhancing economic growth, fostering employment opportunities, and improving environmental quality.

Technostress reduces employees' work performance and increases their turnover intentions, such that technostress harms organizations' success. This paper investigates how the digital mindset of employees, reflecting their cognitive filter while using digital technologies, influences reactions to techno-stressors.

In this quantitative study, the authors conducted a survey among 151 employees who regularly use digital technologies and encounter various techno-stressors in their daily work. To build this research model and evaluate the influence of employees’ digital mindset on technostress, the authors followed arguments from the transactional model of stress. The authors evaluated our research model using the covariance-based structural equation model.

The study findings reveal that employees’ digital mindset influences technostress. Employees with high levels of digital mindset react with less adverse effects on perceived techno-stressors. Further, the authors find that employees with high levels of digital mindset perform well and are satisfied with their job. The authors contribute to technostress research by revealing that digital mindset buffers the adverse effects of techno-stressors. The authors also contribute to research on digital mindset by showing that it influences psychological and behavioral reactions to techno-stressors.

This study develops and empirically tests an integrated model of technostress to explain how digital mindset mitigates technostress. The study findings outline relevant research avenues for studies investigating employees’ characteristics and technostress.

This study aimed to explore the antecedents of small- and medium-sized enterprises (SMEs) internationalization and to compare the different resources required to enter different geographical regions. This study adds to the discussion on internationalization from a resource-based view (RBV) and a focus on dynamic capability, especially the linkage with resources such as digital capability, domestic industrial networks and the business-to-business (B2B) model.

This study used secondary data collected by an SME association in 2020, using a logistic regression model to examine the hypotheses. The respondents were selected according to stratified random sampling.

Digital capability and the B2B model significantly and positively affect the likelihood of internationalization by SMEs, while domestic industrial networks were negatively correlated with this process. In addition, Taiwanese SMEs with high digital capability tend to expand to North America, Europe, Southeast Asia, Northeast Asia, Oceania and the Middle East. Smaller firms tend to develop in Southeast Asia, whereas larger firms opt to establish business in Oceania.

A research limitation is the generalizability of the sample. Findings could be enhanced if future studies include more industries and draw comparisons among different industries or countries. Future studies could explore digital entrepreneurship from a global perspective.

Managers need to emphasize better the development of digital capabilities and skills for SMEs. With limited financial resources and workforce, SMEs can strengthen the competence in international markets by adopting a suitable business model. When SMEs join an association to expand SMEs foreign networks, the study suggests that SMEs carefully evaluate the characteristics of each industrial association first, given that some associations are domestic-oriented. As for public policymakers, a project grant can be used to provide digital capability training for SME employees and owners or promote building a B2B model when internationalizing.

The authors' findings fill the research gaps in RBVs of internationalization, especially in linking resources such as digital capability, domestic industrial networks and the B2B model. The outcomes of this research serve as a reference not only to policymakers for improving the current SME ecosystem, but also to business practitioners positioning themselves in this system.

Technological innovations provide huge opportunities to expand and revolutionize the scope of products and services offered. This is particularly true for tourism, which is undergoing significant changes due to the development of new technologies. The level of technology diffusion depends on several factors like the exchange of information among peers, and the attitude and shared perception among the contributors. The aim of the study is to explore the diffusion of technology in tourism with a specific focus on the social media discourse around new technologies. Thus, the paper investigates the level of interest in these new technologies analysing the information exchange occurring between individuals on Twitter in order to explore the influence of reciprocal networking.

To capture the attitudes expressed in the industry, the study analyses the ongoing discourse on Twitter as a proxy for the participants “interest in new technologies. Through a social network analysis of the tweets and retweets conducted over a period of nine months, the research maps the level of information exchange about the diffusion of new technologies. Moreover, the sentiment analysis provides an interesting overview of the individuals” attitudes towards the awareness or the adoption of new technologies.

Our analysis has provided several insights: (1) the information network on blockchain in tourism consists of participants who change very quickly over time (high turnover of accounts); (2) some contributors have an extremely important role in influencing the flow of information in the system (information centralization), they can have a generalist (discussing several topics) or a specialist (focusing on a specific topic) behaviour and this strategic choice influences their network's structure; (3) these central nodes also have an impact on the definition of positive and negative sentiment towards a topic (sentiment influencer).

The paper contributes to the literature on technology diffusion, by focusing on one of the preconditions of diffusion that is the shared positive attitude towards technological innovation. More specifically, we adopt a network-based approach, which is useful to explain the level of information exchange and the public discourse that can impact the shared perception and attitude towards technological innovation. The study also highlights the role of knowledge brokers in influencing this public discourse. Future studies can deepen the association between positive perception, higher levels of information exchange and increasing usage of specific technologies. Our results also suggest further exploring the opportunity to combine social media data and other sources of information to shed more light on the technological innovation diffusion processes.

This paper shows how practitioners can benefit from the analysis of information exchange about new technologies in tourism adopting a network perspective with the aim of understanding the level of influence among contributors. Moreover, the increasing interest in blockchain technology and the potential combination between social media data and other sources of information can offer promising insights.

The present study explores the level of technology diffusion through the analysis of information exchange on social media (Twitter). Furthermore, the dynamics of individual user behaviour offers a better understanding about media effects.

While previous research is focused on the users' perception towards the development of new technologies in tourism, the aim of this study is to investigate the dynamics behind the level of diffusion of information and awareness about these new technologies, which still represents an unexplored area of research.