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As a response to global population growth and increasing demand for food, farmers have been complementing traditional agriculture practices with vertical farming (VF) and indoor hydroponic systems. To facilitate the growth of the VF industry, this paper aims to identify business model elements and their configurations that lead to high firm performance.

The research goals were met by conducting literature reviews coupled with a fuzzy-set qualitative comparative analysis (fsQCA) on five business model elements, “superior” OR “strong” performance as two possible outcomes, and the top-ranked global VF growers listed in the Crunchbase Database.

From the fsQCA results, it was observed that several business model configurations lead to strong firm performance. Vertical farms growing in urban settings and having strong customer engagement platforms, coupled with a presence of business-to-business (B2B) sales channels, are more consistently associated with superior performance. These results imply that the decision configuration of location, along with customer engagement activity and sales activity are differentiating factors between good firm performance and superior firm performance in the case of vertical farms.

This paper contributes to expanding the knowledge of business model theory, business model configurations and VF management, providing specific guidelines for vertical farm owners and investors related to decision-making for higher firm performance, as well as positive environmental, social and economic impact.

This study aims to investigate the influence of personality characteristics (risk-aversion and self-consciousness) on skepticism toward online services information (STOSI), consumer stress and health.

A between-subjects experiment (n = 228) was designed to compare effects based on third-party organization endorsement (TPO endorsed vs nonendorsed).

Results revealed that personality characteristics positively influenced STOSI, which in turn escalated consumer stress. Furthermore, consumer stress predicted detrimental effects on consumer health (increased blood pressure and heartbeat). Regarding TPO endorsements, both the risk-aversive and self-conscious consumers showed lesser STOSI when exposed to TPO-endorsed ads compared with nonendorsed ads.

This study is one of the first to examine the effects of consumer personality on consumer health through STOSI and consumer stress. In addition, the remedial roles of TPO in coping with STOSI and consumer stress also accumulate to the novelty of this study.

The purpose of this research is to ascertain the impact of audit committee (AC) activism and independence on the quality and quantity of environmental, social and governance (ESG) disclosures for energy sector firms in Australia. This paper aims to understand how AC attributes such as meeting frequency, and the number of independent directors influence the compliance with the global reporting initiative (GRI) guidelines and quantity of ESG disclosures.

Bloomberg ESG disclosure scores and company reported AC attributes are collected and analysed using the pooled ordinary least square (OLS) regression framework with Petersen’s (2009) technique by using a two-dimensional cluster at the firm and year level. Further, this paper uses a lagged independent variable and two-stage least square approach to address endogeneity concerns.

The results show a significant positive effect of AC activism and independence on the level of compliance with the GRI guidelines, indicating the favourable effect of AC attributes on ESG reporting quality. Likewise, AC attributes positively affect the quantity of ESG disclosures. Notably, the impact of AC attributes is more pronounced on environmental disclosures.

This paper validates the significance of the management control mechanism in improving the quality and quantity of ESG disclosures for an environmentally sensitive sector, hence offering a potential answer to reduce agency and legitimacy issues for the sensitive industry firms.

This chapter briefly explores selected English and general education policy documents, curricula, and textbooks within the context of Kingdom of Saudi Arabia (KSA) from a Critical Discourse Analysis perspective and examines how they have changed pre- and post-21st century. First, a policy document related to education in KSA in general (pre-21st century) is analyzed along with an English language teaching (ELT) policy document of the same period. Next, two general policy documents post-21st century are explored, followed by one related to ELT policy. Finally, one post-21st century document related to higher education is discussed. The “network of practices” within which these documents are situated are first detailed, as well as the structural order of the discourse, and some linguistic analysis of the choice of vocabulary and grammatical structures (Meyer, 2001). Issues which might be problematic to the learning and teaching identities of the students and teachers interpreting these documents are also highlighted. Finally, we consider whether the network of practices at this institution and KSA in general “needs” the problems identified in the analysis and critically reflect on the analysis.

This book is essential for anyone in artificial intelligence (AI) and destination management in the tourism industry or government. The book includes both theoretical and practical writings for stakeholders. In all chapters, we provide titles including AI, regenerative and green destinations, sustainable tourism, tourist motivations and expectations, good examples of smart destinations and regions, the regeneration of the tourism industry via AI, rethinking tourism activities and products, current issues in robots, self-service technology, effect of pandemic on smart destinations, sustainable gastronomy and regenerative tourism and tourism issues are discussed in the management plans of the centralisation. This book provides cases and empirical studies that deal in depth with the current situation, challenges, solutions and future strategies after technological development of tourism and increasing interest on smart destinations from a responsible perspective, for readers with an equitable interest or involvement with the organizations in inquiry.

Artificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively influence customer behaviors. Businesses use AI to generate behaviors such as customer retention (CR). The existing literature on “AI and CR” is vastly scattered. The paper aims to review the present research on AI in CR systematically and suggest future research directions to further develop the field.

The Scopus database is used to collect the data for systematic review and bibliometric analysis using the VOSviewer tool. The paper performs the following analysis: (1) year-wise publications and citations, (2) co-authorship analysis of authors, countries, and affiliations, (3) citation analysis of articles and journals, (4) co-occurrence visualization of binding terms, and (5) bibliographic coupling of articles.

Five research themes are identified, namely, (1) AI and customer churn prediction in CR, (2) AI and customer service experience in CR, (3) AI and customer sentiment analysis in CR, (4) AI and customer (big data) analytics in CR, and (5) AI privacy and ethical concerns in CR. Based on the research themes, fifteen future research objectives and a future research framework are suggested.

The paper has important implications for researchers and managers as it reveals vital insights into the latest trends and paths in AI-CR research and practices. It focuses on privacy and ethical issues of AI; hence, it will help the government develop policies for sustainable AI adoption for CR.

To the author's best knowledge, this paper is the first attempt to comprehensively review the existing research on “AI and CR” using bibliometric analysis.

The purpose of this study is to develop a scale to measure coronavirus shopping anxiety. Numerous studies have developed a scale for measuring coronavirus anxiety and fear, notably absent is a concerted effort to review and assess the impact of coronavirus on the shopping anxiety of consumers. This scale fulfills this gap.

The steps taken for checking the various psychometrics of the scale include item generation, followed by exploratory factor analysis (EFA) through SPSS and confirmatory factor analysis through AMOS. The data were collected from over 208 respondents.

This study resulted in the development of a nine-item scale with robust psychometric properties. The scale resulted in highlighting two factors related to anxiety: in-store shopping anxiety and online shopping anxiety.

The scale developed has the desirable reliable and valid properties that could be used by aspiring researchers.

The scale developed highlighted that the restrictions in shopping impact the mental health and psychology of consumers. The scale resulted in analyzing the factors related to shopping anxiety, which could give top management a perspective and vision to look into the minds of the consumer's shopping anxiety behaviors.

Companies, firms, health professionals and marketers could use this scale to investigate the various shopping anxiety perceptions among consumers in society.

This research fills the gap by developing a first nine-item scale based on the qualitative research and quantitative assessment for measuring shopping anxiety caused due to the pandemic.

本研究擬設計一個等級表、以量度新型冠狀病毒肺炎肆虐期間之購物焦慮和不安。至目前為止,已有很多研究成功設計等級表、以量度人們對新型冠狀病毒肺炎的焦慮和恐懼。唯就學術研究而言,顯然缺乏協同一致的努力、去仔細審核和評估新型冠狀病毒肺炎對消費者購物焦慮的影響。本研究擬設計一個有關的等級表,以填補這個研究缺口。

研究人員檢查其設計之等級表的各個心理測量學時所採用的步驟包括:項目生成,以及透過統計產品與服務解決方案軟件 (SPSS) 而進行的探索性因素分析、和透過AMOS而進行的驗證性因素分析。數據取自208名以上的受訪者。

本研究成功設計了一個具有嚴格心理測量特性的九項目等級表。這個等級表、使人注意到與焦慮相關的兩個因素,就是:店內購物的焦慮和網絡購物的焦慮。

本研究透過定性研究和定量評估、設計了首個九項目等級表、來量度大流行病導致的購物焦慮; 就此而言,本研究填補了有關的研究缺口。