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We survey banks to construct national estimates of total noncash payments by type, payments fraud and related information. The survey is designed to create aggregate total estimates of all payments in the United States using data from responses returned by a representative, random sample. In 2016, the number of questions in the survey doubled compared with the previous survey, raising serious concerns of smaller bank nonparticipation. To obtain sufficient response data for all questions from smaller banks, we administered a modified survey design which, in addition to randomly sampling banks, also randomly assigned one of several survey forms, subsets of the full survey. This case study illustrates that while several other factors influenced response outcomes, the approach helped ensure sufficient response for smaller banks. Using such an approach may be especially important in an optional-participation survey, when reducing costs to respondents may affect success, or when imputation of unplanned missing items is already needed for estimation. While a variety of factors affected the outcome, we find that the planned missing data approach improved response outcomes for smaller banks. The planned missing item design should be considered as a way of reducing survey burden or increasing unit-level and item-level responses for individual respondents without reducing the full set of survey items collected.

Autonomous Vehicles (AVs) promise great benefits, including improving safety, reducing congestion, and providing mobility for elderly and the disabled; however, there are discussions on how they should be programmed to respond in an ethical dilemma where a choice has to be made between two or more courses of action resulting in loss of life. To explore this question, the authors examine the current academic literature where the application of the existing philosophical theories to ethics settings in AVs has been discussed, specifically the utilitarianism and the deontological ethics. These two theories are widely regarded as rivals, and are useful in demonstrating the complex ethical issues that must be addressed when programming AVs. We also look at the legal framework, specifically normative principles in criminal law used to regulate difficult choices in an emergency, which some have suggested as a plausible defence for manufacturers who seek to program AVs using a utilitarian framework. These include the doctrine of necessity, the sudden emergency doctrine, and the duty of care. The authors critique each theory, highlighting their benefits and limitations. The authors then make a case for programming AVs using a randomized decision system (RDS) and propose that it could be a viable solution in dealing with certain moral dilemmas. Finally using our assessment, the authors suggest certain objectives for manufacturers and regulators in designing and programming AVs that are technically viable, and would make them morally acceptable and fair.

Ecological systems comprise interdependent human and other living beings, along with their life-giving natural environments. The sustainability of such systems has become a critical global concern, both generally and in relation to business practice. This chapter considers the cultivation of care among business students as one important way of fostering engagement with such concern, with particular attention given to a specific and under-attended area in business research and practice: that of human sustainability. In order to overcome potential limitations of diverse and often disparate streams of research on care, this chapter considers Mayseless’ (2016) integrative framework for understanding caring motivation, and builds upon the four points of intervention for cultivating care that were articulated within that framework. Extant pedagogical research within business and management is used to elaborate additional insights and methods for developing caring skills, caring values, caring teaching and learning communities, and a more extensive vision of care that includes those who might be unknown, different from or distant to us. The framework, insights, methods, and examples discussed in this chapter provide a foundation that can help guide future care-related, ecologically focused pedagogical research and practice.

Purpose – In this chapter, I present a systematic discussion of the relationship between social work (SW) and library and information science (LIS) and explore how SW can contribute to the education of LIS practitioners so that they become more than information facilitators and grow professionally to be true agents of change.

Design/Methodology/Approach – Using engagement with immigrant communities as a case in point and building on the empirical comparative study of public librarians in the Greater Toronto Area and New York City, I outline the current gaps and deficiencies of LIS curricula that can be rectified through blended education. I also integrate the potential contributions of SW into LIS through the case study of an immigrant member of a library community.

Findings – Building on the case study, I introduce a four-tiered model that can be applied to a wide array of courses in LIS programs and conclude with suggestions for taking steps toward blending SW perspectives into the LIS curriculum.

Originality/Value – I position the potential fusion of SW and LIS as “professional blendedness,” which serves as a catalyst for change, and also examine the concept of the blended professional as a change agent. I introduce the rationale for adopting theoretical, practical, and pedagogical approaches from SW in the field of LIS and focus on four specific contributions that can most benefit LIS:

• the person-in-environment approach;

• the strengths perspective and empowerment;

• the interrelated notions of cultural competence, diversity, and intersectionality; and

• the theory-mindedness approach (including theory and practice models).

the person-in-environment approach;

the strengths perspective and empowerment;

the interrelated notions of cultural competence, diversity, and intersectionality; and

the theory-mindedness approach (including theory and practice models).

Purpose: The purpose of this chapter is to elaborate on the major conceptual and practical considerations of the use of robots, artificial intelligence and service automation (RAISA) in travel, tourism, and hospitality companies (TTH).

Design/methodology/approach: The chapter develops a conceptual framework of the major issues related to the use of RAISA in the travel, tourism and hospitality context.

Findings: The findings indicate that while there is a creeping incursion of RAISA into TTH, there are major concerns that the TTH industry has to consider in regard to automating TTH services.

Practical implications: In a practical sense, the chapter identifies the decisions that TTH industry professionals need to take when dealing with RAISA technologies. Furthermore, the chapter elaborates on the impacts RAISA have on business operations, marketing management, human resources and financial management of TTH companies. The TTH industry has to adjust its practices and communicate with its workforce in ways as not to increase Luddite tendencies and resistance among employees.

Social implications: The analysis shows that there is an upcoming era in which automation of services will be so advanced that wealthy countries may not need to import labour to make up with its own aging workforce, suggesting that RAISA and its further development has the potential for disrupting society and international relations.

Originality/value: This chapter provides a comprehensive review of the issues related to the use of RAISA in the TTH industry, including the drivers of RAISA adoption in tourism, advantages and disadvantages of RAISA technologies compared to human employees, decisions that managers need to take, and the impacts of RAISA on business processes. It shows how macroenvironmental pressures shape the microeconomic decisions to use RAISA in a TTH context.

Over the past several decades, scholars and universities have made efforts to increase the retention of students in higher education, but graduation rates remain low. Whereas two-thirds of high school graduates attend college, fewer than half graduate. The likelihood of graduation decreases even more for Black, Latino, American Indian, and low-income students, who have a 12–15% lower chance of earning their degree. The importance of psychosocial adjustment to student persistence has received relatively less attention than academic and social integration. Racial/ethnic minority students face unique challenges to psychosocial adjustment in college, including prejudice and discrimination, unwelcoming campus environments, underrepresentation, and a lack of culturally appropriate counseling resources. The current chapter will discuss the impact of these challenges on the persistence, academic success, and health of racial/ethnic minority students, and strategies that universities can employ to create inclusive policies, resources and campus environments that empower students of color and maximize their success.