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Purpose: The purpose of this chapter is to review and critically evaluate robots, artificial intelligence and service automation (RAISA) applications in the restaurant industry to educate professors, graduate students, and industry professionals.

Design/methodology/approach: This chapter is a survey of applications of RAISA in restaurants. The chapter is based on the review of professional and peer-reviewed academic literature, and the industry insight section was prepared based on a 50-minute interview with Mr. Juan Higueros, Chief Operations Officer of Bear Robotics.

Findings: Various case studies presented in this chapter illustrate numerous possibilities for automation: from automating a specific function to complete automation of the front of the house (e.g., Eatsa) or back of the house (e.g., Spyce robotic kitchen). The restaurant industry has already adopted chatbots; voice-activated and biometric technologies; robots as hosts, food runners, chefs, and bartenders; tableside ordering; conveyors; and robotic food delivery.

Practical implications: The chapter presents professors and students with a detailed overview of RAISA in the restaurant industry that will be useful for educational and research purposes. Restaurant owners and managers may also benefit from reading this chapter as they will learn about the current state of technology and opportunities for RAISA implementation.

Originality/value: To the best of the authors’ knowledge, this chapter presents the first systematic and in-depth review of RAISA technologies in the restaurant industry.

While academia continuously probes and advocates for a definition of a comprehensive, inclusive ideal, diversity, multiculturalism, and equity are bridging ties elements that must be considered. Currently, liberal arts colleges have the unique opportunity to shape equitable environments for all their members and become role models for other higher educational institutions. If there is an institutional commitment, and people are willing to work for a common goal, small colleges can undoubtedly offer the appropriate academic conditions where all faculty, staff, and students can achieve their highest personal and professional potentials.

This chapter discusses the role of chief diversity officer (CDO) on liberal arts campuses and how the CDO should take the lead as equity advocator and conveyor and help set the desired dialogue conditions. Among the topics examined is the institutional inclusion process which includes innovative and supportive new ideas and programs for equity among all members of the academic community. Also the hiring of underrepresented faculty members is crucial and can support the growth of enrollment and retention of diverse groups of students. Diversity and inclusion create common goals, and liberal arts colleges should rapidly move to allow the best hiring practices during the recruitment of new faculty members. Equitable learning conditions for all are as crucial as the creation of faculty evaluation systems that promote equitable opportunities. Liberal arts colleges have a historic opportunity to lead the way and become exemplary role models in practicing diversity and inclusion on campus.

Cross-docking is a supply chain distribution and logistics strategy for which less-than-truckload shipments are consolidated into full-truckload shipments. Goods are stored up to a maximum of 24 hours in a cross-docking terminal. In this chapter, we build on the literature review by Ladier and Alpan (2016), who reviewed cross-docking research and conducted interviews with cross-docking managers to find research gaps and provide recommendations for future research. We conduct a systematic literature review, following the framework by Ladier and Alpan (2016), on cross-docking literature from 2015 up to 2020. We focus on papers that consider the intersection of research and industry, e.g., case studies or studies presenting real-world data. We investigate whether the research has changed according to the recommendations of Ladier and Alpan (2016). Additionally, we examine the adoption of Industry 4.0 practices in cross-docking research, e.g., related to features of the physical internet, the Internet of Things and cyber-physical systems in cross-docking methodologies or case studies. We conclude that only small adaptations have been done based on the recommendations of Ladier and Alpan (2016), but we see growing attention for Industry 4.0 concepts in cross-docking, especially for physical internet hubs.