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Technology serves as a key catalyst in shaping society and the economy, significantly altering customer dynamics. Through a deep understanding of these evolving behaviors, a service can be tailored to address each customer's unique needs and personality. We introduce a strategy to integrate customer complaints with their personality traits, enabling responses that resonate with the customer’s unique personality.

We propose a strategy to incorporate customer complaints with their personality traits, enabling responses that reflect the customer’s unique personality. Our approach is twofold: firstly, we employ the customer complaints ontology (CCOntology) framework enforced with multi-class classification based on a machine learning algorithm, to classify complaints. Secondly, we leverage the personality measurement platform (PMP), powered by the big five personality model to predict customer’s personalities. We develop the framework for the Indonesian language by extracting tweets containing customer complaints directed towards Indonesia's three biggest e-commerce services.

By mapping customer complaints and their personality type, we can identify specific personality traits associated with customer dissatisfaction. Thus, personalizing how we offer the solution based on specific characteristics.

The research enriches the state-of-the-art personalizing service research based on captured customer behavior. Thus, our research fills the research gap in considering customer personalities. We provide comprehensive insights by aligning customer feedback with corresponding personality traits extracted from social media data. The result is a highly customized response mechanism attuned to individual customer preferences and requirements.

An AI concierge is a technologically advanced, intelligent and personalized assistant that is designated to an individual customer, proactively taking care of that customer’s needs throughout the service journey. This article envisions the idea of AI concierges and discusses how to leverage AI concierges in the customer journey.

This article takes a conceptual approach and draws insights from literature in service management, marketing, psychology, human-computer interaction and ethics.

This article delineates the fundamental forms of AI concierges: dialog interface (no embodiment), virtual avatar (embodiment in the virtual world), holographic projection (projection in the physical world) and tangible service robot (embodiment in the physical world). Key attributes of AI concierges are the ability to exhibit semantic understanding of auditory and visual inputs, maintain an emotional connection with the customer, demonstrate proactivity in refining the customer’s experience and ensure omnipresence through continuous availability in various forms to attend to service throughout the customer journey. Furthermore, the article explores the multifaceted roles that AI concierges can play across the pre-encounter, encounter and post-encounter stages of the customer journey and explores the opportunities and challenges associated with AI concierges.

This paper provides insights for professionals in hospitality, retail, travel, and healthcare on leveraging AI concierges to enhance the customer experience. By broadening AI concierge services, organizations can deliver personalized assistance and refined services across the entire customer journey.

This article is the first to introduce the concept of the AI concierge. It offers a novel perspective by defining AI concierges’ fundamental forms, key attributes and exploring their diverse roles in the customer journey. Additionally, it lays out a research agenda aimed at further advancing this domain.

Tracing the development of a parallel-engaged pedagogy of care that extended and adapted the critical and transformative pedagogies of Freire, De Sousa Santos and hooks to the South African context. The development of this transformative pedagogy addresses the local conditions of an architectural design studio at a postcolonial, post-Apartheid and post “Fees must Fall” protests South African university. This pedagogy used practice-based design research to build a more conscious, critical and careful design practice in both students and educators.

The pedagogy was developed through participatory action research, over five years, from 2019 to 2023 including two years of the COVID-19 pandemic. Parallel and active engagement of students and educators within a nurturing and caring environment evolved from year to year, through a conscious and critical reflection on the process. Student surveys, reflective essays and focus groups unearth the impact of the parallel-engaged pedagogy of care.

The parallel-engaged pedagogy of care was shown to support and scaffold students becoming more conscious, critical and careful in their design practices validating diverse lived experiences as generative for design and important for social justice and transformative equity.

The parallel-engaged pedagogy of care is part of a global shift to more transformative pedagogies that address student diversity and decoloniality.

Through dismantling traditional hierarchical teaching modes, the pedagogy is more student-led, agile and adaptable. Through centring and demonstrating care in the pedagogy, students are encouraged to develop both self-care and care in their design practice. This is especially critical in the South African context where the cultural capital of the institution, with its roots in colonial and Apartheid education differs from that of the majority of students of colour.

This paper aims to analyze the impact of green people management (GPM) practices on the development of organizational competencies for sustainability in Brazilian publicly traded companies.

To validate the proposed model and hypotheses, a quantitative-descriptive methodological strategy was adopted, empirically investigated through a survey with publicly traded companies listed on B3 S.A. (Brazil, Stock and Exchange). The collected data were analyzed using exploratory factor analysis and multiple linear regression.

The results indicate that green ability has a positive impact on the development of strategic and systemic competence for sustainability. Green motivation has a negative impact on the development of systemic and economic competencies for sustainability. Green opportunity positively impacts the development of strategic, systemic and economic competencies for sustainability.

In terms of academic contributions, this study allowed for an empirical and comprehensive evaluation of variables related to GPM practices and their impact on the development of organizational competencies for sustainability, in line with the research agenda of the management field, focusing on outcomes for individuals (employees) and organizations.

The identification and possible implementation of certain GPM practices as a way to boost recruitment, selection, evaluation, rewards, recognition and involvement of individuals with green values and objectives, minimizing environmental and societal impacts, represent the main managerial and social contribution.

Limited research has investigated how spirit at work, functioning as a “good barrel,” fosters ethical decision-making (EDM) even in the presence of unethical managerial behavior (“bad apples”). Therefore, this study aims to investigate the spirit at work, a situational variable, as a moderating variable in the relationship between the love of money (LoM), an individual-level factor, and EDM.

A time-lagged survey of the members of the Marketing Association of Pakistan was conducted. The data were analyzed using partial least square structural equation modeling.

Adding to much of the existing research, which finds that LoM can influence ethical intention directly, this research finds that LoM influences ethical intention only through ethical judgment. Moreover, the spirit at work tempers the negative relationship between LoM and ethical judgment, thereby mitigating LoM’s detrimental effects not only on ethical judgment but also its downstream effects on ethical intention.

Organizations, by planting the seeds of spirit at work, can institutionalize good barrels, which can alleviate the negative effects of the marketing managers’ LoM, the root cause of unethical behavior. This way, this study establishes a business case for spirit at work.

The novelty of this study is the development and investigation of a holistic conceptual framework for EDM of marketing professionals that incorporates LoM as an antecedent, ethical judgment as an underlying mechanism, ethical intention as an outcome variable and spirit at work as a boundary condition.

The purpose of this study is to comprehensively examine the ethical implications surrounding generative artificial intelligence (AI).

Leveraging a novel methodological approach, the study curates a corpus of 364 documents from Scopus spanning 2022 to 2024. Using the term frequency-inverse document frequency (TF-IDF) and structural topic modeling (STM), it quantitatively dissects the thematic essence of the ethical discourse in generative AI across diverse domains, including education, healthcare, businesses and scientific research.

The results reveal a diverse range of ethical concerns across various sectors impacted by generative AI. In academia, the primary focus is on issues of authenticity and intellectual property, highlighting the challenges of AI-generated content in maintaining academic integrity. In the healthcare sector, the emphasis shifts to the ethical implications of AI in medical decision-making and patient privacy, reflecting concerns about the reliability and security of AI-generated medical advice. The study also uncovers significant ethical discussions in educational and financial settings, demonstrating the broad impact of generative AI on societal and professional practices.

This study provides a foundation for crafting targeted ethical guidelines and regulations for generative AI, informed by a systematic analysis using STM. It highlights the need for dynamic governance and continual monitoring of AI’s evolving ethical landscape, offering a model for future research and policymaking in diverse fields.

The study introduces a unique methodological combination of TF-IDF and STM to analyze a large academic corpus, offering new insights into the ethical implications of generative AI across multiple domains.

There are two main objectives in this study. First, we aim to develop a set of constructs for health task management support (HTMS) features to evaluate which health-related tasks are supported by mobile health application (mHealth app) functions. Second, drawing on innovation resistance theory (IRT), we examine the impacts of the newly developed HTMS dimensions on perceived usefulness, alongside other barrier factors contributing to technology anxiety.

Using a mixed-method research design, this research seeks to develop new measurement scales that reflect how mHealth apps support older adults’ health-related needs based on interviews. Subsequently, data were collected from older adults and exploratory factor analysis was used to confirm the validity of the new scales. Partial least squares structural equation modeling (PLS-SEM) was used to analyze survey data from 602 older adults.

The PLS-SEM results indicated that medical management task support, dietary task support, and exercise task support were positively associated with perceived usefulness, while perceived complexity and dispositional resistance to change were identified as antecedents of technology anxiety. Perceived usefulness and technology anxiety were found to positively and negatively influence adoption intention, respectively.

This study enriches the information systems literature by developing a multidimensional construct that delineates how older adults’ health-related needs can be supported by features of mHealth apps. Drawing on IRT, we complement the existing literature on resistance to innovation by systematically examining the impact of five types of barriers on technology anxiety.

This study aims to explore the knowledge, attitudes, and experiences of PhD students in India regarding research ethics and institutional review boards (IRBs), assess awareness levels, identify training gaps, examine ethical priorities and understand challenges in the IRB application process.

A quantitative approach was used, and a self-evaluator questionnaire was distributed electronically to PhD students. Data collection occurred between 1 March 1 and 30 March 2024, with analysis conducted using SPSS software.

The study reveals a significant gap in formal training on IRB procedures within PhD programs and challenges in completing IRB applications despite recognising ethical priorities such as informed consent and confidentiality.

This study provides insights into PhD students’ perspectives on research ethics and IRBs in India, highlighting the need for enhanced education and awareness initiatives to promote responsible conduct and safeguard research participants.

In this study, we attempt to investigate and examine the correlations among enterprise culture (EC), business ethic rules (BERs) and talented human resource supply chain management (THRSCM) in service SMEs in the Middle East region.

This study is quantitative in nature and adopts the quantitative-deductive hypothesis testing approach. To do this, a self-administrated survey was used and carried out to reach managers, human resource (HR) staff and workers from various small and medium-sized enterprises (SMEs) in the service sector that are listed in the Chambers of the Industries of Qatar, Saudi Arabia, the United Arab Emirates and Jordan in the Middle Eastern countries.

The empirical findings show that THRSCM and the BERs have a strong, positive correlation. Further, it found that there is also a strong and positive correlation between the EC and the BERs. As a result, THRSCM and EC can be extremely important in advancing and implementing BERs in SME service businesses. HR staff members should receive greater attention when implementing the BERs to accomplish the company’s goals and give customers a positive image of their enterprises. The HRM division and the company must be deeply aware of the significance of the BERs in their enterprises.

These findings can give managers, executives and HR staff helpful information to support the creation and upkeep of efficient business ethics rules inside their service SMEs.

Because there is not much study on the relationships between THRSCM, EC and BERs in the Middle East, this article attempts to investigate these relationships and consider them a benchmark for other future studies in ethics. Furthermore, it significantly influences service SMEs in the Middle East region.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2023-0763.