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The purpose of this paper is to outline the articles presented in the Special Issue on the topic of “Marketing and flexibility”, and to discuss key issues associated with major debates relating to flexibility in order to position the articles within a wider context and highlight some key issues for further research.

Themes in prior research relating to “Marketing and flexibility” are documented and the growth of research interest into strategic flexibility is tabulated. The contributions of each article are briefly discussed.

There has been a steady growth of research interest into flexibility. To provide an example of this growth, the increase in the number of articles published on the topic of strategic flexibility in scholarly journals is highlighted over a 20‐year period. Key issues in prior research such as alternative definitions and the different postulated relationships between market orientation and strategic flexibility are revealed, as are issues for future research.

Key issues relating to research into flexibility for marketing scholars are revealed.

The increased utilization of artificial intelligence-enabled applications (AI-ETs) across the customer journey has transformed customer experience (CX), introducing entirely new forms of the concept. This paper aims to explore existing academic research on the AI-enabled customer experience (AICX), identifying gaps in literature and opportunities for future research in this domain.

A systematic literature review (SLR) was conducted in March 2022. Using 16 different keyword combinations, literature search was carried across five databases, where 98 articles were included and analysed. Descriptive analysis that made use of the Theory, Characteristics, Context, Methods (TCCM) framework was followed by content analysis.

This study provides an overview of available literature on the AICX, develops a typology for classifying the identified AI-ETs, identifies gaps in literature and puts forward opportunities for future research under five key emerging themes: definition and dynamics; implementation; outcomes and measurement; consumer perspectives; and contextual lenses.

This study establishes a fresh perspective on the interplay between AI and CX, introducing the AICX as a novel form of the experience construct. It also presents the AI-ETs as an integrated and holistic unit capturing the full range of AI technologies. Remarkably, it represents a pioneering review exclusively concentrating on the customer-facing dimension of AI applications.

随着人工智能应用程序 (AI-ET)在旅途中的使用不断增加, 消费者体验 (CX)得以转变, 引入了全新的概念形式。 本文旨在探索有关人工智能客户体验（AICX）的现有学术研究, 从中找出文献中的空白以及该领域未来研究的机会。

本系统性文献综述（SLR）于2022 年 3 月开工。基于16 个不同的关键词组合, 本综述统共收录并分析了来自 5 个数据库98 篇文献, 采用理论-特征-背景-方法 (TCCM) 框架先后进行描述性分析和内容分析。

该研究概述了 AICX 的现有文献, 开发了对已识别的 AI-ET 进行分类的类型学, 确定了现有文献中的空白, 并在 5 个关键新兴主题下提出了未来研究的机会：1. 定义和动态, 2 . 实施, 3. 结果和衡量, 4. 消费者视角, 5. 情境视角。

本研究建立了全新的视角看待 AI 和 CX 之间的相互作用, 引入了 AICX 这种新颖的体验构造形式, 还将 AI-ET 展示为一个集成了全方位人工智能技术的整体单元。 值得一提的是, 本文代表了一项专门关注人工智能应用面向客户维度的开创性综述。

La creciente utilización de aplicaciones habilitadas por inteligencia artificial (AI-ET) a lo largo del recorrido del cliente han transformado la experiencia del cliente (CX), introduciendo formas totalmente nuevas del concepto. Este artículo pretende explorar la investigación académica existente sobre la experiencia del cliente a través de la IA (AICX), identificando las lagunas en la literatura y las oportunidades para futuras investigaciones en este ámbito.

En marzo de 2022 se llevó a cabo una revisión bibliográfica sistemática (SLR). Utilizando 16 combinaciones diferentes de palabras clave, se realizó una búsqueda bibliográfica en 5 bases de datos en las que se incluyeron y analizaron 98 artículos. El análisis descriptivo que hizo uso del marco Teoría, Características, Contexto, Métodos (TCCM) fue seguido del análisis de contenido.

El estudio ofrece una visión general de la bibliografía disponible sobre la AICX, desarrolla una tipología para clasificar las AICX detectadas, identifica lagunas en la literatura y plantea oportunidades para futuras investigaciones bajo cinco temas emergentes claves: 1. Definición y dinámica, 2. Implementación, 3. Resultados y medición, 4. Perspectivas del consumidor, 5. Lentes contextuales.

El estudio establece una nueva perspectiva sobre la interacción entre la IA y la CX, introduciendo la AICX como una forma novedosa del constructo experiencia. También presenta las AICX como una unidad integrada y holística que capta toda la gama de tecnologías de la IA. Notablemente, representa una revisión pionera que se concentra exclusivamente en la dimensión orientada al cliente de las aplicaciones de la IA.

Digitalization is revolutionizing the retail sector as today's consumers prefer a seamlessly integrated, fluid and irritation-free shopping experience enhanced with artificial intelligence (AI)-powered technologies. Literature highlights gaps in the understanding of the shopping experience in an omnichannel context, involving aesthetic, cognitive and affective experience dimensions. This research highlights the direct effects and the mechanism triggered in the presence of such device.

A sample of 259 consumers was interviewed at the point of sale. Data have been collected after a shopping experience in two concept stores belonging to the same fashion brand: (1) not equipped with AI-powered technology and (2) equipped with these tools. The measurement scales were validated through ANCOVA analysis and causal relationship analysis with structural equation modeling.

The results show that the presence of an in-store AI-powered technologies in a connected store generates a higher aesthetic reaction when visiting the store, a higher absorption when shopping through the flow and a higher intent to purchase. The authors further investigate the underlying mechanism triggered by the presence of this technology, which enables the authors to outline their consequences regarding purchase intention.

The study, conducted within an actual connected store in France, explores the impact of AI technology in connected retail environments on consumer responses. It is an early research in this field, shedding light on a rarely explored area. The authors’ research addresses a significant gap, providing insights into AI-driven retail experiences.

In today's world, retailers must embrace technological devices to provide fluid, convenient and complete customer experiences. Therefore, combining the offline and online spaces into a single strategy becomes essential, representing a significant opportunity for retailers to improve customer experience. Therefore, this study aims to explore and compare the importance of digital elements in an omnichannel experience by companies in the luxury and non-luxury segments.

The research offers a model to explore and compare the omnichannel strategies that brands use, considering six dimensions that cover recent technological advances, thus offering a complete experience to their customers. A multiple case study was selected based on a sample of six international companies from two different price segments (luxury and non-luxury).

The data collected allowed the authors to verify the presence of some dimensions, even though some had little evidence. Nevertheless, the dimensions connectivity, innovativeness and flexibility (only in luxury segment companies) were not present. Overall, and even though they present just little evidence, the results showed that retailers for the luxury segment invest more in delivering digital experiences within omnichannel strategies than the non-luxury ones.

This study improves the existing knowledge of omnichannel retailing. By analysing and comparing the omnichannel experiences, companies can identify areas for improvement and enhance the overall customer journey. Additionally, the model allows managers to compare and re-evaluate their omnichannel strategies with other competitors to gain competitiveness in an ever-evolving market.

The study applied the stimulus–organism–response (S–O–R) framework to investigate the influence of flow elements (e.g. perceived control, concentration and cognitive enjoyment) on artificial intelligence (AI)-enabled e-tail services in evoking awe experience in online fashion apparel context.

Data of 739 active users of online fashion retail shoppers were collected using Amazon Mechanical Turk (MTurk). Partial least square-structural equation modeling was used for analysis.

This study suggested the relevance of AI-enabled services in evoking flow and stimulating the customers' awe experience in online fashion shopping.

The use of AI could help online fashion retailers to improve the experiential elements by using stimuli that evoke feelings of vastness, novelty and mysticism.

The study offers insights about the relevance and applicability of AI in enhancing the flow elements and awe experience on online fashion apparel shopping in an emerging economy.

The purpose of this paper is to design and test a model integrating the attributes of national culture and total quality management (TQM) principles for successful TQM implementation in international projects involving Chinese construction firms in Nigeria.

Based on the culture-specific relationship between TQM implementation and national culture and ISO 9001 being a stepping stone to TQM implementation, a model in the form of a matrix was designed integrating Hofstede’s five national cultural dimensions (NCD) and ISO 9001 eight quality management principles. The model was then tested through a three-phase research process including cross-sectional surveys of the Chinese (n=48) and the Nigerians (n=80) (Phase 1), Delphi study involving TQM experts (n=12) (Phase 2), and case studies of Chinese projects in Nigeria (n=6) (Phase 3).

The model predicts important attributes of national culture and TQM principles for achieving good-quality performance, the management of which leads to a Chinese firm being perceived as delivering good or poor-quality services in Nigeria. Statistical testing using κ statistics revealed significant agreement between two perceived good-quality Chinese firms on the important attributes and significant disagreement between perceived good-quality and poor-quality Chinese firms in Nigeria.

The model designed is based on ISO 9001: 2008 version.

International businesses in Africa will benefit from this study’s findings.

Overseas Chinese firms’ service quality perceptions can be better managed.

This empirical study presents a model for successful TQM implementation through ISO 9001.

This study broadens the understanding of how omnichannel service convenience, shopping value and channel congruence affect customer perceived trust and satisfaction and, in turn, affect selection intention after an omnichannel shopping experience.

Target participants were recruited based on previous purchases from the Japanese clothing brand Uniqlo. A questionnaire was distributed via social media. In total, 341 valid responses were collected for structural equation modelling (SEM).

The results revealed that in omnichannel shopping context, perceived trust and satisfaction are positively affected by service convenience and shopping value and are especially affected by channel congruence. Further analysis showed that perceived trust and satisfaction have a positive effect on omnichannel selection intention, with satisfaction playing a mediating role in the relationships of omnichannel service convenience, shopping value and channel congruence with omnichannel selection intention.

This study contributes to the literature on omnichannel customer behaviour by shedding light on the antecedents of intention to select omnichannel retailers from the customer’s perspective.

The quality of higher education has become a topic of increasing interest to researchers in recent decades. This study, therefore, aims to investigate the comparative effectiveness of instructors at higher education institutions in Kuwait and the USA, while also investigating the parallel differences in student culture and gender.

The researchers employed a quantitative research paradigm, using a questionnaire survey method to examine four dimensions of effective instructorship (teaching skills, human relations, ethics, and assessment). Descriptive statistics were used to analyze data from 254 college students (N = 254), comprising 132 students at Bemidji State University in the USA and 122 students at Kuwait University in Kuwait.

The findings showed that students ranked “human relations” as the most significant attribute of an effective university instructor. Study results also indicated that culture is an important influencer of student perceptions regarding effective instructor characteristics. Gender also played a role in student perceptions of teacher effectiveness. Cross-culturally, female participants ranked teacher effectiveness dimensions such as human relations, ethics, and assessment, significantly higher than did their male colleagues, while within each culture, male students at the American university showed significantly greater concern for ethics in comparison to their counterparts in Kuwait.

This study offers findings from a cross-cultural comparative perspective. It provides value to administrators, deans, and department chairs at higher educational institutions who are evaluating their current rank, tenure, and promotions criteria and processes for teaching faculty. Additionally, while K-12 education has received significant attention over the past few decades regarding the qualities and practices of effective teachers in that realm, this study extends such research significantly into higher education.

This study aims to explore the influence of the individual student profile of Hofstede’s Power Distance, Uncertainty Avoidance, Collectiveness and Long-Term Orientation on student service quality expectations in higher education.

Data is collected via a survey consisting of items from a standard Hofstede and a higher education adapted SERVQUAL questionnaire. The survey sample includes 128 students who represent the entire population of a taught postgraduate course in Finance at a UK Higher Education Institution (HEI). Descriptive statistics and bivariate correlation analysis are used to describe and identify the relationship between student individual cultural values and student service quality expectations. Multiple regression analysis is applied to estimate the relationship between SERVQUAL constructs and items with respect to Hofstede’s cultural determinants.

The findings of this study suggest that individual culture can influence student service quality expectations in higher education.

In a context of a prospective quality management approach, there is value for HEIs to explore the individual cultural profile of their students as a way of understanding and actively managing student service quality expectations.

To the authors’ best knowledge, no previous study combines the SERVQUAL and Hofstede models in exploring the impact of cultural values on student service quality expectations in higher education.