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Purpose: This chapter describes the design and implementation, at the computer hardware and software level, of the Greggg robot. Greggg is a scalable high performance, low cost hospitality robot constructed from off-the-shelf parts. Greggg has a robust architecture and acts as a tour guide on-campus, both indoors or outdoors. This research allows one to build a customized robot at a low cost, under U.S. $2,000, for accomplishing the desired hospitality tasks, and scale, and expand the capability of the robot as required.

Practical Implications: The practical implication of the research is the capability to build and program a robot for hospitality tasks. Greggg is a customizable robot capable of giving on-campus tours both indoors and outdoors. In its current architecture, Greggg can be trained to be a museum docent and give directions to visitors on-campus or at an airport and scaled up for other hospitality tasks using off-the-shelf components. Enhancing the robot by scaling it up and expanding it, in addition to testing it with a range of increasingly more difficult tasks using machine learning algorithms, is highly beneficial to advancing research on the use of robots in the hospitality sector. Greggg can also be used for Robot-as-a-service (Rass) applications.

Societal Implications: The economic implication of Greggg is the ease and low cost with which one, with minimal technology know-how, can construct an autonomous hospitality industry robot. This chapter details the hardware and software needed to build a low cost scalable and customizable autonomous robot for the hospitality industry without having to pay an exorbitant price.

Research/Limitations/Implications: This research allows one to build their own customized hospitality robot under U.S. $2,000. Given the cost of building the robot, it has limitations on the hospitality tasks it can perform. It can navigate on flat surfaces, has limited vision and speech processing capabilities and has a battery life not exceeding an hour. Furthermore, it does not have any robotic manipulators or tactile processing capabilities.

We examine the market valuation of targets with multiple large shareholders (MLS) and single large shareholder (SLS) structures, in an international sample of M&A announcement in 19 countries outside North America. We find that the presence and power of MLS in these firms are negatively associated with abnormal returns and first-bid-to-merger-completion returns, suggesting that MLS mitigate agency problems in the target, and hence their acquisition is perceived as “a loss of good governance.” The negative association between MLS targets and returns is stronger in widely held firms suggesting that MLS indeed curb expropriation of minority shareholders. By contrast, when the second largest shareholder in the MLS structure of the target is a family, we find positive cumulative abnormal returns at the merger announcement, suggesting exacerbated agency problems in these firms that should benefit from the “acquisition of good governance.” Our evidence is robust to a battery of tests and to addressing potential endogeneity.

Post-conflict economies are characterized by high, and often growing, levels of debt. At the same time, peace is particularly fragile in the aftermath of a conflict. This chapter studies how debt affects the risk of war in the 10 years that follow the end of a previous conflict. After controlling for per-capita income and other economic, political, and geographical factors, external debt is found to increase the risk of war. Conversely, the effect of domestic debt is negligible. The policy implication for the international community is clear: debt relief helps stabilize peace in war-torn economies.

With the rise of employer-promulgated mandatory employment arbitration, scholars have become concerned that these policies may reduce the economic viability of lower value employment claims. Of particular worry are claims made under the Fair Labor Standards Act since the FLSA does not include punitive damages. This study empirically tests the relationship between 368 Fortune 1000 companies’ employment arbitration policies and their wage and hour violations discovered during the Department of Labor inspections. Surprisingly, firms that used arbitration were found to have fewer violations and lower back wages for those violation compared to firms that did not use arbitration. This suggests that viewing arbitration merely as a cost-reduction tool may cast the practice too narrowly and instead it may be part of a larger conflict management system that seeks to address conflict at the earliest possible stage.

Behavioral finance literature has long claimed that internet stock message boards can move markets. In this chapter, the authors study more than 2,000 internet board messages posted across finance message boards in India (Chittorgarh, etc.) for 110 companies that went for initial public offering (IPO) in the last one year. This study has multi-fold objectives. First, the authors try to identify the factors which lead to a discussion on an IPO stock in the message board. Second, the authors identify the factors which differentiate a widely discussed stock from the less discussed one. Next, the authors apply advanced machine learning technique to identify the topics which are discussed in the message board through automatic topic modeling. The methodology used includes a logistic regression model for identifying firm characteristics which leads to a probability of getting stakeholders’ attention and hence more discussion. The authors also use advanced topic modeling techniques to identify topics of discussion on the message boards through machine learning. The authors find that larger sized firms, younger firms, firms with low leverage, and non-manufacturing firms get discussed more and the topics of discussion relate to their financial statements, trading strategies, stock behavior, and performance.

Purpose – This study examines how managerial ability relates to employee productivity using a broad and generalized sample of US firms.

Methodology – This study employs a generalized sample of firm-years from all industries between 1980 and 2013.

Findings – By contending that managers differ in their ability to synchronize management processes and human capital in ways that enhance employee productivity, the authors provide evidence showing that more-able managers are associated with higher employee productivity. In addition, the authors find that high-ability managers moderate the negative relation between uncertain environments (high-technology firms) and employee productivity. Furthermore, the authors decompose employee productivity into employee efficiency components and employee cost components. The authors find a significant positive association between managerial ability and the employee efficiency component, but do not see a significant association between managerial ability and the employee cost component.

Value – The results contribute to the understanding of employee productivity by showing the relation between managerial ability and employee productivity.

This paper investigates the substance of institutions in the context of business ethics. In particular, I test a theory of stakeholder attention to resource commitments by firms that implement the Ethics and Compliance Officer (ECO) position, from 1990 to 2008. Results support the hypothesized curvilinear relationship between resource commitments and stakeholder attention – while both high and low levels of ECO implementation generate low levels of reported ethics transgressions (the former due to good firm behavior and the latter due to stakeholder disengagement), moderate ECO implementation produces elevated transgression reports (due to raised expectations and increased engagement). Contrary to extant theory, results are consistent across both internal and external firm stakeholder groups.

A major consequence of global environmental change is projected to be the alteration in flood periodicity, magnitude, and geographic patterns. There are a number of extant methods designed to help identify areas vulnerable to these consequences, the construction of composite vulnerability indices prominent among them. In this paper we have implemented the Order Rated Effectiveness (ORE) model (Klimberg & Ratick, 2020) to produce composite flood vulnerability indicators through the aggregation of six constituent vulnerability indicators future projected for 204 hydrologic subbasins that cover the contiguous US. The ORE aggregation results, when compared with those obtained using the Weighted Linear Combination and Data Envelopment Analysis, provided a more robust and actionable distribution of composite vulnerability results for decision-makers when prioritizing Hydrologic Unit Codes for further analysis and for effectively and efficiently implementing adaptation and mitigation strategies to address the flooding consequences due to global climate change.

The possibility of institutional distance exerting an asymmetric effect on the entry strategies of multinational enterprises (MNEs) has attracted recent scholarly attention. In this context, we re-examine the relationship described by Hernandez and Nieto (2015) on the effect of the direction of regulatory institutional distance on MNEs’ choice of entry mode in host countries. We extend this research by (1) focussing on the context of emerging markets and (2) accounting for a greater variety of MNEs as well as institutions by including both large and small firms, and a larger set of home and host countries. In contrast to Hernandez and Nieto’s study, we find that, in the context of emerging markets, institutionally distant MNEs are more likely to choose the full-ownership mode when they originate from an institutionally stronger country in comparison to the host (emerging) country, and they are more likely to choose the joint-ownership mode when they originate from an institutionally weaker country. We discuss our findings with respect to Hernandez and Nieto’s study, which explores this relationship more generally (i.e. beyond emerging-market contexts), however in the context of small and medium enterprises.