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The consumer behaviour literature is evolving towards the assumption that products are inherently experiential bundles, and after all, all businesses are operating within the experienced economy. Experiences are much more advantageous for the consumers because they advance happiness or enjoyment of life (instead of survival or maintenance). Experiential purchases lead to greater happiness levels compared to material purchases. Reliance on materialism and material purchases is shown to be the reason of low happiness levels in even the most affluent countries.

In this chapter, based on theoretical as well as empirical papers, I analyse experiences and the consumption of experiences in the Turkish context. The arguments are supported by up-to-date market analysis of related industries conducted by independent market research agencies. The first section looks at the rise of experientialism in retail industries, such as in the case of shopping malls. The following sections touch upon main experiential categories such as tourism, dining and sports. Finally, the social aspects of experiences are discussed in the context of third-place experiences, and some empirical findings are presented. The chapter concludes with some recommendations for practitioners, experience designers, service providers as well as researchers.

This chapter addresses the current state of librarian participation in the global lesbian, gay, bisexual, transgender, and queer+ (LGBTQ+) Wikipedia engagement efforts and proposes an extended librarian advocacy to advance LGBTQ+ rights and concerns. The author provides a brief history of global LGBTQ+ Wikipedia engagement, librarian involvement in Wikipedia, and librarian participation in global LGBTQ+ Wikipedia initiatives. In the process, the author examines the underrepresentation and invisibility of librarians in global LGBTQ+ Wikipedia engagement efforts and Wikipedia initiatives in general, as well as the barriers that librarians face in becoming active Wikipedian librarians. Based on a review of the literature, the analysis of data gathered from Wikipedia, and the author’s own experiences as an LGBTQ+ Wikipedian librarian, the author recommends strategies for librarians to advocate for and include global LGBTQ+ Wikipedia engagement in their professional practice.

To explain how cumulative efforts contribute to learning and literacy development.

A representation of how efforts lead to lasting growth is discussed through a variety of historical and current perspectives across content disciplines. This chapter includes depictions of how positive experiences can promote further success and recognizing one’s cumulative efforts and the effects from those are fundamental to educational attainment.

The value one places on tasks such as reading or writing is often aligned to the frequency with which those events occur. Students view their time and effort as capital; they are students’ most valued possessions, and how they allocate these commodities is a choice.

For students to become avid readers and writers, we must utilize a host of strategies to impress the notion that these activities are worth their attention, time, and investment.

Higher education researchers are often challenged by the difficulty of empirically validating causal links posited by theories or inferred from correlational observations. The instrumental variable (IV) estimation strategy is one approach that researchers can use to estimate the causal impact of various higher education–related interventions. In this chapter, we discuss how the body of quantitative research specifically devoted to higher education has made use of the IV estimation strategy: we describe how this estimation strategy was used to address causality concerns and provide examples of the types of IVs that were used in various subfields of higher education research. Our discussion is based on a systematic review of a corpus of econometric studies on higher education–related issues that spans the last 30 years. The chapter concludes with a critical discussion of the use of IVs in quantitative higher education research and a discussion of good practices when using an IV estimation strategy.

Little is known about how assistive technology standards have been implemented in preservice teacher preparation. This chapter provides a review of the literature concerning the importance of evidence-based practice and the research base supporting assistive technology in order to set the context for reporting the results of a comprehensive national study of the status of assistive technology state standards for teachers in all of the 50 states (plus Washington, DC). This chapter includes the findings of the study, the research that the study was based upon, and a review of relevant research in the fields of assistive technology, educational technology, and evidence-based practice. Only six states reported having AT standards and six states reported having AT competencies. Three states reported having both standards and competencies, yielding nine unique states (out of 51) with AT standards and/or AT competencies. Regression analyses to determine the relationship between the study variables and national reading and math performance of students with disabilities were inconclusive. The implications of the study findings and recommendations for future research are presented.

Determining the right number of customers inside a store (i.e. human or customer density) plays a crucial role in retail management strategies. On the one hand, retailers want to maximize the number of visitors they attract in order to optimize returns and profits. On the other hand, ensuring a pleasurable, efficient and COVID-19-proof shopping experience, would go against an excessive concentration of shoppers. Fulfilling both retailer and consumer perspectives requires a delicate balance to be struck. This chapter aims at supporting retailers in making informed decisions, by clarifying the extent to which store layouts influence (perceived) consumer density. Specifically, the chapter illustrates how new technologies and methodologies (i.e. agent-based simulation) can help in predicting a store layout's ability to reduce consumers' perceived in-store spatial density and related perceptions of human crowding, while also ensuring a certain retailers' profitability.

There is a growing interest in the use of HR-based Industry 4.0 technologies for equality, diversity, and inclusion (EDI) issues yet the emerging trends of Industry 4.0 in EDI implementations and interventions are not fully covered. This chapter investigates the emerging themes regarding EDI and Industry 4.0 interaction through Google-based big data that show the actual interest in Industry 4.0 and EDI. Drawing on a web analytics method that tracks the real click behaviours of web users through querying combined sets of keywords, the study explores the trends and interactions between Industry 4.0 technologies and EDI-related HR practices. Our search engine results page (SERP) analyses find a high volume of queries and a significant interest between EDI elements and artificial intelligence (AI) only. In contrast to the suggestions of the extant literature, no significant user interest in other Industry 4.0 applications for EDI implementations was observed. The authors suggest that other Industry 4.0 technologies such as machine learning (ML) and natural language processing (NLP) for EDI implementations are in their early stages.

The Internet of Things (IoT) is becoming increasingly popular in agribusiness to help increase food production capacity for the ever-expanding global population. This chapter provides a holistic overview of the latest trends around the applications of IoT in agriculture. We begin by giving an overview of IoT and its capabilities, followed by a deep dive into the practical and realistic aspects of leveraging IoT into the agroecosystem. IoT is already being used for many intelligent agriculture applications, such as open-field agriculture, controlled environment agriculture (greenhouse), livestock breeding, agricultural machinery, and more. This chapter examines those applications and ventures beyond the farm into several other aspects of the ecosystem, including storage, warehouse ambiance control, agri-data analytics and decision control, logistics, environmental safety, etc. The contents of the chapter would be based on extensive studies and empirical analysis of the latest research papers on this subject from around the globe, accurately interpreted and transformed by the authors in light of their academic background and professional experience in the digital transformation arena.