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This study examined the factors influencing willingness-to-repurchase for each class of airline service, and integrate the constructs of service quality, satisfaction and willingness-to-repurchase which were rooted on Engel-Kollat-Blackwell (EKB) model. The study focuses on the domestic and international arrival of passengers at Murtala Muhammed International Airport in Lagos and Nnamdi Azikwe International Airport in Abuja. Information was gathered from domestic and foreign passengers who had post-purchase experience and had used the airline's services more than once. The survey data were obtained concurrently from arrival passengers at two major international airports using an electronic questionnaire through random and purposive sampling techniques. The data was analysed using the ordinal logit model and structural equation model. From the 606 respondents, 524 responses were received but 489 responses were valid for data analysis and reporting and were obtained mostly from economy and business class passengers. The study found that the quality of seat pitch, allowance of 30 kg luggage permission, availability of online check-in 24 hours before the departing flight, quality of space for legroom between seats, and the quality of seats that can be converted into a fully flatbed are the major service factors influencing willingness-to-repurchase economy and business class tickets. Also, it was found that passengers' willingness to repurchase is influenced majorly by service quality, but not necessarily influenced by satisfaction. These results reflect the passengers' consciousness of COVID-19 because the study was conducted during the heat of COVID-19 pandemic. Recommendations were suggested for airline management based on each class.

Through a systematic literature review, this paper aims to endeavor to present a thorough historical perspective on the evolution of employee-based brand equity (EBBE), offering a comprehensive understanding of its development. The study explores the general model, causes and effects of EBBE, as well as the role of culture, leadership and brand management in building EBBE. The paper proposes an integrative framework to understand the interrelationships between the various dimensions of EBBE and offers practical guidelines for future research and the business world.

The paper uses a systematic literature review approach to analyze and synthesize 30 studies on EBBE retrieved from SCOPUS and Web of Science. The analysis involves a thematic and content-based examination of the literature, which is organized into three thematic groups.

The review highlights the importance of EBBE as a driver of organizational performance and success. The paper identifies the evolution of the major themes, trends and debates in the literature and suggests areas for future research. It underscores the need for more qualitative, multi-level and longitudinal research on EBBE, as well as the exploration of the links between EBBE and other forms of brand equity.

This paper is one of the first systematic literature reviews of EBBE, offering a comprehensive and integrated view of the existing literature since the beginning of this concept. The paper’s originality lies in its proposed integrative framework that captures the interrelationships between the various dimensions of EBBE and provides practical guidelines for future research and the business world.

This paper aims to critically evaluate the evolution of Assurance of Learning (AoL) in business education and identify gaps and responsibilities in higher institution landscapes moving into the future. This comes amidst increasing structural reforms, an increasingly digitalised world, accelerated by the COVID-19 pandemic and wider scrutiny of graduate competencies for job readiness.

A systematic literature review comprising 27 journal articles published between 2018 and 2022 is the methodology used in this research. This approach is justified as it provides a recent synopsis of current trends on AoL and encompasses the changes over the course of the COVID-19-induced higher education landscapes.

The systematic literature review revealed a strong flavour for AoL measurement through the students' perspectives, with little emerging from faculty insights. Only six out of the 27 articles were framed in a non-English speaking background, revealing that most studies were still concentrated in a US or English environment. Also, while papers on AoL have increased in numbers from 2018 to 2022, there remains scant literature on AoL measurements related to the COVID-19 pandemic and recent digital technologies, and how these would have changed given the rapid shift to online or hybrid environments.

A comprehensive review of AoL literature from 2018 to 2022 is undertaken through Leximancer, which reveals conceptual and relational ties between core themes and concepts of interest. The findings inform business school leaders of the current state of AoL processes, by combining the views of students, faculty and managers.

The purpose of this study is to analyze the challenges encountered by international nongovernmental organizations (INGOs) operating in armed conflicts within the Democratic Republic of the Congo (DRC) and the Central African Republic (CAR). Through a 20-month fieldwork analysis, this research maps logistical risks and highlights key obstacles on the ground for successful humanitarian deployments in dynamically changing and complex environments. The study brings together academics and practitioners, providing practical and concrete recommendations for nongovernmental organizations (NGOs) to focus on in the conflict zones studied.

Using a mixed-methods approach that combines qualitative and quantitative methods, this research provides valuable insights into the challenges faced by INGOs in conflict zones. After collecting data from the field, including interviews with key stakeholders and on-the-ground observations, the data analysis uses software tools such as Text Analysis Markup System analyzer and Macbeth. By adhering to ethical principles and incorporating a reflexive analysis, the study sheds light on the multidimensional nature of successful humanitarian deployments.

The primary risk in all armed conflict zones, including the DRC and CAR, is insecurity. However, to achieve a successful humanitarian deployment in such contexts, a multidimensional approach is required. This involves first securing the acceptance of local communities and conflict parties, which can be achieved through a deep understanding of both political and customary structures, with a focus on respecting key engagement leaders. Sustainability also plays a crucial role, and NGOs must maintain a secure stock of energy and provide greater initiative for on-the-ground managers to meet the expressed needs of beneficiary populations and involve them from the planning stage onwards. Finally, effective communication, cooperation and collaboration with United Nations Office for the Coordination of Humanitarian Affairs are essential to overcome procurement, technical and security risks, particularly during the initial deployment phases.

This study provides an illustration of the uncommon practice of conducting collaborative research in humanitarian settings amidst two neighboring areas of armed conflict. The authors identified 268 common risk factors across eight categories during five deployment phases. To analyze these risks based on criticality and NGO responsiveness, the authors used a multicriteria method. This approach allowed the authors to validate unanimous judgments, resulting in valuable insights and concrete recommendations.

Retailers increasingly endeavour to implement artificial intelligence (AI) innovations, such as humanoid social robots (HSRs), to enhance customer experience. This paper investigates the interactive effect of HSR intelligence and consumers' speciesism on their perceptions of retail robots as sales assistants.

Three online experiments testing the effects of HSRs' intellectual intelligence on individuals' perceived competence and, consequently, their decision to shop at a retail store that uses HSRs as sales assistants are reported. Furthermore, the authors examine whether speciesism attenuates these effects such that a mediation effect is likely to be observed for individuals low in speciesism but not for those with high levels of speciesism. Data for all studies were collected on Prolific and analysed with SPSS to perform a logistic regression and PROCESS 4.0 (Hayes, 2022) for the mediation and moderated-mediation analysis.

The findings show that the level of speciesism moderates the relationship between HSR intellectual intelligence and perceived competence such that an effect is found for low but not for high HSR intelligence. When HSR intellectual intelligence is low, individuals with higher levels of speciesism (vs low) rate the HSR as less competent and display lower HSR acceptance (i.e. customers' decision to shop using retail robots as sales assistants).

This research responds to calls in research to adopt a human-like perspective to understand the compatibility between humans and robots and determine how personality traits, such as a person's level of speciesism, may affect the acceptance of AI technologies replicating human characteristics (Schmitt, 2019). To the best of the authors' knowledge, the present research is the first to examine the moderating role of speciesism on customer perceptions of non-human retail assistants (i.e. human-like and intelligent service robots). This study is the first to showcase that speciesism, normally considered a negative social behaviour, can positively influence individuals' decisions to engage with HSRs.

Businesses are increasingly vulnerable and exposed to physical climate change risks, which can cascade through local, national and international supply chains. Currently, few methodologies can capture how physical risks impact businesses via the supply chains, yet outside the business literature, methodologies such as sustainability assessments can assess cascading impacts.

Adopting a scoping review framework by Arksey and O'Malley (2005) and the PRISMA extension for scoping reviews (PRISMA-ScR), this paper reviews 27 articles that assess climate risk in supply chains.

The literature on supply chain risks of climate change using quantitative techniques is limited. Our review confirms that no research adopts sustainability assessment methods to assess climate risk at a business-level.

Alongside the need to quantify physical risks to businesses is the growing awareness that climate change impacts traverse global supply chains. We review the state of the literature on methodological approaches and identify the opportunities for researchers to use sustainability assessment methods to assess climate risk in the supply chains of an individual business.

Corporate social responsibility (CSR) is gaining recognition and value among researchers, academicians and business professionals. Drawing on theories of social identity and person–organisation fit, the present research propounds a model that investigates the role of CSR branding in influencing employee retention.

The paper is based on primary survey data from 348 employees working in organisations in the Indian industrial hubs. The study uses the regression and PROCESS macro model to analyse relationship among study variables.

The study indicated how CSR initiatives could help organisations handle the threat of high turnover storm all over the world, thereby retaining the employees with a high set of skills. Moreover, the paper connotes that employee retention is influenced directly by CSR branding as well as indirectly under the presence of organisational identification and person–organisation fit (mediators).

Results suggest the role of a positive identity and a mutual fit as significant predictors of employee retention. The implications for future research on CSR, employees' stay intentions, employees' identification and value congruence are further discussed in light of the findings.

The novelty of this research insists on shedding light on the indirect mechanisms linking CSR to employee retention that has been overlooked so far, particularly in the Indian setting; studies on an integrated model of organisational identification and person–organisation fit are limited.

The paper aims to enrich current debate about human–technology dichotomy in socio-economic settings by decoding and systematizing the main phases through which it has been approached in managerial and social studies.

A multi-interpretative framework is built thanks to the adoption of a qualitative approach inspired by the inductive logic, and for analyzing the historical evolution of the approach to human–technology dichotomy and for explaining them through an innovative conceptual model.

An innovative conceptual model is proposed for depicting connections and evolutions among the main four phases in the evolution of the approaches to human–technology dichotomy.

Reflections and conceptual model herein can support researchers in rereading the multiple theoretical and practical contributions provided with reference to human and technology relations in socio-economic settings.

The paper can support managers and entrepreneurs in defining and evaluating managerial approaches for efficiently enhancing human–technology interaction.

The paper proposes an innovative conceptual model based on a multi-interpretative framework for decoding the historical evolution of the approaches to human–technology dichotomy in business settings. New variables are added to the current debate about the topic for building an original interpretive viewpoint.

The digital revolution has changed consumer–service provider interaction, spawning a new generation of FinTech. This paper analyzes consumers' reactions to artificial intelligence (AI) (vs human) decisions.

The authors tested their predictions by conducting two experimental studies with FinTech consumers (n = 503).

The results reveal that consumers' responses to AI (vs human) credit decisions depend on the type of credit product. For personal loans, the rejection by an AI provider triggers higher levels of satisfaction compared to a credit analyst. This effect is explained via the perceived role congruity. In addition, the findings reveal that consumers’ rejection sensitivity determines how they perceive financial services role congruity.

To the best of the authors' knowledge, this research is the first to jointly examine AI (vs human) credit decisions in FinTech and role congruity, extending prior research in the field.

The proliferation of digital communication on social media provides new opportunities for businesses to take advantage of Internet memes to boost customer engagement. Academic literature on digital communications mostly focuses on popular forms such as selfies, branded posts, and branded emoticons. Less attention has been paid to brand memes and their implications for brand management. Based on the cue utilization theory, this research aims to investigate the informational cues of brand memes foster brand partnerships.

The structural equation modeling and importance-performance matrix analysis were used to empirically validate the research hypotheses with 595 respondents to an online survey.

Three informational cues of brand memes (i.e. comprehensibility, novelty, and meme-brand congruity) stimulated consumers' attitudes, which in turn impacted consumer-brand relationships. Another brand meme informational cue, sarcasm, negatively moderated the relationships between the three informational cues and consumer-brand relationships.

Our findings indicate that a brand can engage consumers in conversations on social media and foster long-term consumer-brand relationships through brand memes.