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The gastronomy industry is one of the industries in which consumers use technology most frequently, such as robotics, artificial intelligence and automation systems. Service robots are generally defined as online programs that can act independently or under the control of a human that can carry human characteristics such as speaking, understanding and acting. This study aims to examine and evaluate the studies on service robots in the gastronomy industry regarding quantity or quality, to understand the phenomenon more comprehensively, and to determine a holistic perspective. To this end, a qualitative research approach was adopted. Document technique was used to collect data within a systematic literature review framework, and the data were analysed by descriptive analysis. According to the findings, the papers on service robots in the gastronomy industry are still in their infancy, and these studies have increasingly gained speed in the last five years.

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.

The purpose of this case study was to complement existing weeding and retention criteria beyond the most used methods in academic libraries and to consider citation counts in the identification of important scholarly works.

Using a small sample of items chosen for withdrawal from a small liberal arts college library, this case study looks at the use of Google Scholar citation counts as a metric for identification of notable monographs in the social sciences and mathematics.

Google Scholar citation counts are a quick indicator of classic, foundational or discursive monographs in a particular field and should be given more consideration in weeding and retention analysis decisions that impact scholarly collections. Higher citation counts can be an indicator of higher circulation counts.

The authors found little indication in the literature that Google Scholar citation counts are being used as a metric for identification of notable works or for retention of monographs in academic libraries.

Diversity and inclusion initiatives are normally centred on legally protected traits such as race and gender. As the legal framework expands to ensure that underrepresented workers are protected, there exists a subset of the workforce who have diversity characteristics that are legally unprotected. For example, individuals who have visible tattoos can face employment discrimination when they are looking for work or looking to progress their careers. To add to the challenge, the perception of stigma is fluid and expectations related to the appearance of employees are determined by managers' perceptions of consumers' preferences. Drawing theoretically from self-categorisation theory and information processing theory, we discuss how the creation of a marketing and brand proposition framework can help to build an organisational identity that can benefit consumers and the organisation simultaneously. We also discuss the practical implications and strategies that organisations can consider to reduce such workplace discrimination.

Several studies have shown that the mechanism of labour-intensive construction (LIC) projects can mitigate high unemployment and create skilled development, especially in developing nations. The guidelines and practices for implementation may have faced some encumbrances in some countries. Whether the current guidelines and practices for municipal infrastructure support agent (MISA) to execute LIC projects face hindrances in South Africa has yet to receive in-depth studies. Thus, this study attempts to proffer policy solutions to improve the proposed revised guidelines and practices for MISA in LIC project execution in South Africa.

The study's objectives were accomplished via a combination of 16 virtual interviews of built environment professionals and government officials involved in LIC project execution in South Africa and supported by the analysed documents. A thematic approach was used to analyse the data and presented two main themes.

Findings show lax enforcement of discretionary funds, lax institutional capacity and inadequate individual skills, among others, as the gaps in existing South Africa's LIC guidelines and practices. Also, policy solutions to address the gaps were proffered.

The suggested feasible policies will improve the proposed revised guidelines and practices for MISA in LIC project execution in South Africa. This guide will promote the development of individual skills, institutional capacities and increase employment across South Africa.

This study promotes the use of LIC to create employment and contribute to proffering measures that will improve the proposed revised third edition of the guidelines and practices for MISA to execute LIC.

This study aims to discern medieval information literacy (IL) practices through scrutiny of medieval manuscripts: both the content and the “marks of usage” evident therein.

Analysis of the writing of scribes. Engagement with selected primary texts (manuscripts) and prior scholarly investigations.

Ample evidence exists of the practice of IL in the medieval era, and how it was transmitted and negotiated across time and space. Popular guides for scholars, including Hugh of St. Victor's Didascalicon, and the marks of usage left on manuscripts by readers/scribes, are evidence of how members of scholarly communities engaged in collaborative metacognitive work, helping each other with tasks such as understanding the ordinatio (organisation) of texts; cross-referencing; locating information; and making judgments about relevance, amongst others. New practices were stimulated by key historical transitions, particularly the shift from ecclesiastical to secular settings for learning.

This is a preliminary study only, intended to lay foundations and suggest directions for more detailed future investigations of primary texts. The scope is Eurocentric, and similar work might be undertaken with the records of practice available elsewhere, e.g. the Arab world, South and East Asia.

Some previous work (e.g. Long, 2017) has investigated medieval scholarly communities by retrospectively applying notions from practice theory, but no prior work has specifically focused upon IL as the practice under investigation.

This chapter on anti-racism struggles applies an anti-racist activist framing, both critically examining and recognising the milestones achieved through centuries of pro-justice and anti-racism struggles. It delves into the arduous journey that the global fight for racial equity has undergone and highlights the significant progress as well as setbacks experienced during this lengthy struggle. The earliest history of the fight against racial oppression and domination goes back to anti-slavery and anti-colonial movements. Scholars have analysed the emergence, development and state of global anti-racism struggles in a variety of ways. I approach this subject from a sociological perspective, highlighting the role of social structures, groups and institutions that have contributed to shaping the outcomes of anti-racist initiatives. While recognising the role of individuals and leading political activists, this chapter emphasises anti-racism as a collective social justice struggle. To do this, I explore various local and global anti-racism endeavours and examine how they may influence discussions on race, racism and racial equity and their evolving trajectories across different societies.

Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture and manage interactive marketing relationships. However, most marketers do not have a clear understanding of what AI is and how it may mutually benefit consumers and firms. In this paper, the authors conduct an extensive review of the marketing literature, develop an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships, identify research gaps and offer a future research agenda.

The authors first conduct an extensive literature review in 16 top marketing journals on AI. Based on this review, an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships was conceptualized.

The literature review led to a number of key research findings and summary areas: (1) an historical perspective, (2) definitions and boundaries of AI, (3) AI and interactive marketing, (4) relevant theories in the domain of interactive marketing and (5) synthesizing AI research based on antecedents to AI usage, interactive AI usage contexts and AI-enabled value co-creation outcomes.

This is one of the most extensive reviews of AI literature in marketing, including an evaluation of in excess or 300 conceptual and empirical research. Based on the findings, the authors offer a future research agenda, including a visual titled “What is AI in Interactive Marketing? AI design factors, AI core elements & interactive marketing AI usage contexts.”

The Brundtland Commission report has been widely cited in debates about sustainable development (SD), but disagreements still exist about what SD is and the role or importance of ecology are central to the debate. SD is a movement that seeks to address social and economic issues to meet the needs of the entire community through alternative methods of development. The Kyoto Protocol, United Nations Framework Convention on Climate Change (UNFCCC), World Summit on Sustainable Development, and Rio+20 have all been significant initiatives to reduce greenhouse gas (GHG) emissions. This book focused on the development of sustainable infrastructure, which is linked to seven of the recently established Sustainable Development Goals (SDGs). Researchers emphasized the importance of developing an objective definition of SD. The most used definition of SD is proposed in the World Conference on Environment and Development (WCED) report, which emphasizes harmony among the three pillars: social, ecological, and economic. However, Lehtonen (2004) contends that separating the terms ‘social’ and ‘economic’ will isolate economic problems from their larger social context. This SD model recognizes that economic activities must be carried out for the benefit of society and that initiatives affecting humanity’s social context must be completed within ecological bounds. Mebratu (1998) classified SD definitions and origins into three categories: functional, conceptual, and intellectual. Hopwood et al. (2005) demonstrated the many ecological, social, and economic implications of SD. O’Riordan (1988) and Robinson (2004) define sustainability as an integral concept with a strong emphasis on nature. SD is a conservationist approach to natural resource allocation that focuses on technology to address pollution and resource depletion issues. To achieve development, current institutions must be transformed, with an emphasis on meeting people’s wants and interests in a way that is consistent with economic, equitable, and environmental concerns. It is frequently used to describe outdated economic development that disregards the environment. SD is viewed differently by different authors. Mitcham (1995) discovered ‘investigated or creative ambiguity’ in the term, which is a strength, not a flaw. O’Riordan (1988) admitted that the ambiguity surrounding the concept’s definition has sparked debate. Dresner (2008) demonstrated that the confusion surrounding SD does not render it ineffective. The Forum for the Future’s 5-capitals model and the triple bottom line (TBL) model are two examples of SD models that promote SD, but technological and scientific progress has been slow. The definition of SD is ambiguous, with various perspectives and insights from various authors. This section examined the body of knowledge on sustainability and its underlying concepts and principles, with references and a discussion of the TBL.