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The purpose of this paper is to investigate the influence of macroeconomic cyclical indicators and country governance on bank non-performing loans in African countries.

Data was collected from the 53 African countries covering 2005–2021. The paper develops an empirical model to examine the impact of country governance in reducing macroeconomic cycle-induced adverse effects on bank credit risk. This research estimates Random Effects models and the General Method of Moment to examine the link between microeconomic and governance factors on bank non-performing loans. Stata version 15.1 was used to conduct panel regression analysis.

The findings of the study revealed that the generalized method of moments findings contributes valuable insights into the persistence of NPLs over time and the specific effects of variables on NPL levels. The study findings highlight that the debt-to-GDP ratio, unemployment, regulatory quality, government effectiveness and inflation have significant relationships with NPLs, shedding light on their specific contributions to credit risk dynamics.

The focus on a specific set of determinants for NPLs, which may not capture all the factors that influence NPL levels. Thus, the study did not consider the impact of macroeconomic shocks, such as natural disasters or global economic crises, which can have a significant impact on NPLs.

Policymakers should prioritize maintaining sustainable debt levels, promoting employment growth and controlling inflation rates to mitigate credit risk and reduce nonperforming loans. Also, enhancing regulatory quality and government effectiveness is crucial in ensuring financial stability and minimizing non-performing loans in Africa.

This paper provides a new possible solution to minimise bank non-performing loans risk by examining interactions of country governance regarding the macroeconomic cycle behaviour.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0729

The present study has been carried out to study whether and how different aspects of brand management (brand identity, brand image and brand meaning) are instrumental in maintaining and enhancing attachment strength of students with higher education institutes (HEIs). Further, to understand what brand management aspect channels the impact of what branding driver on attachment strength in most effective manner.

The study analysed combined mediating effects as well as specific mediating effects to test the mediating role of brand management aspects.

The study reveals that brand image plays highest mediating role among all aspects of brand management. HEIs need to enhance service quality because brand image carries the highest influence of service quality on attachment strength. Similarly, brand identity carries the highest influence of heritage on attachment strength. Brand meaning carries the highest influence of competence and reputation on attachment strength.

The present study, based on empirical research, has built the framework and mechanism for creating attachment strength utilising the intangible resources of HEIs through brand management. The present study examines how specific intangible resources exhibit varying influences on attachment strength via distinct brand management mediation effects.

The present study provides framework for designing branding strategies to build and channelise necessary intangible resources of branding for nourishing and nurturing attachment strength.

The present study contributes to scarce branding literature in context of HEIs. The study proposes role of HEI branding in developing students' attachment strength with their HEIs.

The purpose of this paper is to develop surrogate models, using deep learning (DL), that can facilitate the application of EM analysis software. In the current status quo, electrical systems can be found in an ever-increasing range of products that are part of everyone’s daily live. With the advances in technology, industries such as the automotive, communications and medical devices have been disrupted with new electrical and electronic systems. The innovation and development of such systems with increasing complexity over time has been supported by the increased use of electromagnetic (EM) analysis software. Such software enables engineers to virtually design, analyze and optimize EM systems without the need for building physical prototypes, thus helping to shorten the development cycles and consequently cut costs.

The industry standard for simulating EM problems is using either the finite difference method or the finite element method (FEM). Optimization of the design process using such methods requires significant computational resources and time. With the emergence of artificial intelligence, along with specialized tools for automatic differentiation, the use of DL has become computationally much more efficient and cheaper. These advances in machine learning have ushered in a new era in EM simulations where engineers can compute results much faster while maintaining a certain level of accuracy.

This paper proposed two different models that can compute the magnetic field distribution in EM systems. The first model is based on a recurrent neural network, which is trained through a data-driven supervised learning method. The second model is an extension to the first with the incorporation of additional physics-based information to the authors’ model. Such a DL model, which is constrained by the laws of physics, is known as a physics-informed neural network. The solutions when compared with the ground truth, computed using FEM, show promising accuracy for the authors’ DL models while reducing the computation time and resources required, as compared to previous implementations in the literature.

The paper proposes a neural network architecture and is trained with two different learning methodologies, namely, supervised and physics-based. The working of the network along with the different learning methodologies is validated over several EM problems with varying levels of complexity. Furthermore, a comparative study is performed regarding performance accuracy and computational cost to establish the efficacy of different architectures and learning methodologies.

Following the continued development of transformative service research and the prevalence of the service-dominant logic in services marketing literature, increased scholarly interest centers on the co-creation of service actors’ well-being. In light of this significant evolution in service research, this study aims to provide a systematic review and synthesis of the growing, fragmented body of literature on well-being co-creation in services.

The hybrid systematic review approach combines bibliometric and framework-based literature reviews to analyze a sample of 160 article obtained from the Web of Science database. To examine the conceptual structure of the research domain, VOSviewer is used for conducting a bibliometric coupling analysis and a keyword co-occurrence analysis. Next, a content analysis is used to explore how the extant literature addresses the key concepts of service actors’ participation in co-creation, their resource integration and well-being outcomes across the micro-, meso- and macro levels of service ecosystems.

Service actors’ participation and resource integration are key theoretical concepts for understanding well-being co-creation. Yet, a comprehensive overview of well-being co-creation across the different levels of service ecosystems is lacking due to the presence of various application contexts, levels of aggregation, theoretical backgrounds and methodological perspectives. A conceptual framework of well-being co-creation in service ecosystems is developed, highlighting the participation of multilevel service actors and suggesting priorities for further research.

To the best of the author’s knowledge, this paper represents a first effort to systematically review and organize growing literature on well-being co-creation in service ecosystems.

This study aims to examine the roles of advertising (ADV) and sales promotion (SP) in creating airline brand equity (BE) in the UAE, and to test the mediational effect of customer perceived value on the proposed relationships. Additionally, the study examines the outcomes of airline BE (i.e. trust, satisfaction and loyalty).

A structured and self-administered survey was used targeting 234 passengers, from which 197 were valid for the analysis. Exploratory and confirmatory factor analyses were used to assess the research constructs unidimensionality, validity and composite reliability.

The empirical findings support the direct relationship between ADV and BE. Perceived value fully mediates the effect of SP on BE. In addition, BE positively affects trust, satisfaction and loyalty.

Future research could investigate BE and perceived value as multidimensional constructs. Additionally, future research should expand the effect of other variables such as airline type, airline class and other marketing mix elements.

The findings from this research highlight the importance of both ADV and sale promotion in enhancing airline BE, and the pivotal role of perceived value.

The originality of this research is highlighted in conceptualizing a parsimonious model of the preceding constructs (i.e. ADV, SP, customer perceived quality) and subsequent constructs of BE (i.e. customer trust, customer satisfaction, customer loyalty), which has never been investigated collectively in one model in the literature particularly in the airline’ context of emerging economies such as UAE.

Governments worldwide seek to optimize value in public project bids. Social procurement (SP) has become a global tool for achieving project goals. The purpose of this study is to assess the understanding of SP among contractors and identify its drivers to optimize the value associated with public projects.

A total of 15 major contractors were interviewed to obtain their views on SP, appreciate their current practices and identify the main drivers of SP in projects. A semistructured interview was used to gather relevant data. Neo-institutional theory is the lens of the study used to provide the focus of the research. The collected data were analyzed using the thematic data analysis technique.

The study found that SP is understood as corporate social responsibility and is not handled in a structured manner guided by policies or clearly defined procedures. Additionally, research has shown that compliance requirements, rather than value and goodwill, are the main inspiration for SP practices.

The study’s limitation is the fact that it was conducted in the context of Botswana and only used the interview technique as the solo data collection method. The other limitation is the lack of empirical literature on SP concerning the lack of SP policy in Botswana.

This study raises awareness of the concept of SP among contractors in Botswana and eases its implementation within the industry.

This study aims to identify the irritating aspects in the mall environment that impact shoppers with disability and explore the opportunities to design inclusive mall environments.

A mixed-methods design was used in which data collected using a survey (n = 1,434 shoppers with and without disability) were analyzed by structural equation modeling (SEM) and repeated-measures two-way ANOVA. In addition, qualitative data were obtained from critical incident technique (CIT) stories (n = 521) from shoppers with and without disability.

Mall environmental irritants evoke feelings of irritation that mediate the impacts of “inconvenient ambient conditions,” “the annoying socialscape” and “overwhelming design and atmospherics” on decreased mall-visit frequency. Compared with shoppers without disability, shoppers with disability suffer more from these irritating aspects of the mall environment, as evidenced by significantly greater high-activation unpleasant emotions. The “poor access and accessibility” category of irritants mainly affects the mall experiences of shoppers with disability.

Based on the findings, this study offers spatial-, temporal-, social-, material- and virtual-oriented recommendations for the design of inclusive retail spaces. The authors suggest that people with disability have a unique “lived experience” perspective on retail environments and that solutions should be co-created based on ongoing consultations with shoppers and employees with disability.

To the best of the authors’ knowledge, this study offers the first systematic, comprehensive comparison of the impact of environmental irritants on shoppers with and without disability and extends the literature on irritating aspects of retail environments from individual stores to malls.

The primary purpose of this study was to examine the underlying consumer values that drive hotel booking mobile app users to engage more with the app and use the app continuously for hotel booking purposes.

By conducting confirmatory factor analysis (CFA) and structural equation modeling (SEM) on the data collected through the Qualtrics online survey platform from 506 respondents in the United States, the proposed measurements and structural models were tested.

The findings for both Generation Xers and Millennials revealed that hedonic and social values influenced mobile app engagement, which strongly influenced mobile app loyalty. Thus, to enhance customer engagement and indirectly influence mobile app loyalty, the app value delivery should appeal to social and hedonic values. Although the utilitarian values for using apps had a potential direct impact on mobile app loyalty, the mediation analysis showed that mobile app engagement, when connecting consumption values to mobile app loyalty, served as a full mediator for Generation Xers and a partial mediator for Millennials.

This study provides insights into how hotels and online travel agent (OTA) marketing managers may consider augmenting user engagement with hotel booking mobile apps. This study suggests that hoteliers and OTAs should further develop their user experience efforts to enhance the utilitarian features of their mobile app to increase revenue from repeat purchases. Additionally, this study provides implications for enhancing the hedonic and social features of hotel booking mobile apps to appeal to Millennials and Gen Xers.

This study developed and assessed an integrated model to investigate the relationships between consumption values, engagement and loyalty in hotel booking mobile apps. Furthermore, it examined generational cohorts' role in the relationships between these constructs.

Business process modeling faces a difficult balance: on the one hand, organizations seek to enact, control and automate business processes through formal structures (procedures and rules). On the other hand, organizations also seek to embrace flexibility, change, innovation, value orientation, and dynamic capabilities, which require informal structures (unique user experiences). Addressing this difficulty, the authors propose the composite approach, which integrates formal and informal process structures. The composite approach adopts a socio-material conceptual lens, where both material and human agencies are supported.

The study follows a design science research methodology. An innovative artifact – the composite approach – is introduced. The composite approach is evaluated in an empirical experiment.

The experimental results show that the composite approach improves model understandability and situation understandability.

This research explores the challenges and opportunities brought by adopting a socio-material conceptual lens to represent business processes.

The study contributes an innovative hybrid approach for modeling business processes, articulating coordination and contextual knowledge. The proposed approach can be used to improve model understandability and situation understandability. The study also extends the socio-material conceptual lens over process modeling with a theoretical framework integrating coordination and contextual knowledge.

Environmental uncertainty (EU) and firm size (FS) generate inertial forces that can push small and medium-sized enterprises (SMEs) to emphasize either exploration or exploitation. In this article, the authors explore how structural (e.g. formal processes, control and discipline) and social (e.g. employee support and decision-making involvement) managerial instruments counteract such inertial forces and enable SME ambidexterity. Building on the organization-context literature, the authors propose a model in which EU and firms' size moderate the relationship between structural and social managerial instruments on SME ambidexterity.

The authors examined a moderation model using surveys of chief executive officers (CEOs) and performance archival data from 237 Chilean SMEs.

The authors find that the positive effect of structure on SME ambidexterity decreases with FS. In contrast, social instruments have a positive effect on ambidexterity for larger firms, especially for those operating in uncertain environments. In cases in which EU and firms' size reinforce the exploration or exploitation tendencies of SMEs, structural and social instruments play a complementary role in achieving ambidexterity.

The authors contribute by proposing a contingent mix of structural and social instruments to enable SME ambidexterity. These results inform policymakers and SME managers by suggesting strategies to promote ambidexterity based on firms' size and EU.