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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.

Fertility aspirations shape family planning behavior of a couple. Desire to have certain number of children is linked with various micro- and macro-level factors such as individuals’ characteristics, sociocultural contexts and unconscious personal motivations. Fertility aspirations are an important component of fertility decision-making and a major predictor of childbearing. In India, Uttar Pradesh (UP) is the most populated state with historically high levels of fertility rates as compared to national average. This research is a qualitative exploration of the perspectives and practices of women with respect to their fertility aspirations and family planning behavior in an urban setting. A cross-sectional study was conducted between August 2017 and July 2018 among married women and men of the reproductive age group of 17–49 years using qualitative methods. The study was done in Pakbara, a Census Town (has a minimum population of 5,000) in the district of Moradabad, situated in western UP. It was found that along with personal motivations of having a quality life change in objective circumstances has led to changes in the fertility aspirations of the participants, particularly women. Increasing education, more mobility in public spaces, aspirations for a quality life, exposure to mass media and new job opportunities generate revision of parental aspirations. Couples, particularly from middle and upper-middle classes, limit their family size to attain upward social mobility. Couples from lower economic class have realized that rise of household income has not been commensurate with rise in prices. Thus, restricted childbearing is one way to cope with the situation.

This chapter introduces electroencephalography (EEG), a measure of neurophysiological activity, as a critical method for investigating individual and team decision-making and cognition. EEG is a useful tool for expanding the theoretical and research horizons in organizational cognitive neuroscience, with a lower financial cost and higher portability than other neuroimaging methods (e.g., functional magnetic resonance imaging). This chapter briefly reviews past work that has applied cognitive neuroscience methods to investigate cognitive processes and outcomes. The focus is on describing contemporary EEG measures that reflect individual cognition and compare them to complementary measures in the field of psychology and management. The authors discuss how neurobiological measures of cognition relate to and may predict both individual cognitive performance and team cognitive performance (decision-making). This chapter aims to assist scholars in the field of managerial and organizational cognition in understanding the complementarity between psychological and neurophysiological methods, and how they may be combined to develop new hypotheses in the intersection of these research fields.

The purpose of this paper is to determine a baseline level of the Professional Quality of Life (ProQOL 5) in emergency dispatchers in the state of Florida, as well as to examine the how it is associated with psychological resilience, perceived coworker support, different types of debriefing, and perceived organizational support.

This was done through a cross-sectional administration of surveys to emergency telecommunicators and dispatchers in the state of Florida.

In total, 186 surveys were completed by active emergency dispatch personnel across the state of Florida. The study found that psychological resilience, education, and perceived organizational support were statistically related to professional quality of life in Florida Dispatchers.

There are limitations due to the nature of cross-sectional survey design and due to the sample size. There are also possible issues with the accuracy of self-reported survey answers. The lack of participation from all agencies also hinders generalizability.

This study serves as a reference point for a very under studied emergency service population. There are also implications that psychological resilience development in dispatch personnel would assist in multiple aspects of their professional quality of life.

This is the first study to use the ProQOL 5 on dispatch personnel in Florida. It also displays statistical relationships between factors which dispatch agencies could use to increase employee job satisfaction and potentially reduce turnover.

Indian railways (IR) is one of the largest railway networks in the world. As a part of its strategic development initiative, demand forecasting can be one of the indispensable activities, as it may provide basic inputs for planning and control of various activities such as coach production, planning new trains, coach augmentation and quota redistribution. The purpose of this study is to suggest an approach to demand forecasting for IR management.

A case study is carried out, wherein several models i.e. automated autoregressive integrated moving average (auto-ARIMA), trigonometric regressors (TBATS), Holt–Winters additive model, Holt–Winters multiplicative model, simple exponential smoothing and simple moving average methods have been tested. As per requirements of IR management, the adopted research methodology is predominantly discursive, and the passenger reservation patterns over a five-year period covering a most representative train service for the past five years have been employed. The relative error matrix and the Akaike information criterion have been used to compare the performance of various models. The Diebold–Mariano test was conducted to examine the accuracy of models.

The coach production strategy has been proposed on the most suitable auto-ARIMA model. Around 6,000 railway coaches per year have been produced in the past 3 years by IR. As per the coach production plan for the year 2023–2024, a tentative 6551 coaches of various types have been planned for production. The insights gained from this paper may facilitate need-based coach manufacturing and optimum utilization of the inventory.

This study contributes to the literature on rail ticket demand forecasting and adds value to the process of rolling stock management. The proposed model can be a comprehensive decision-making tool to plan for new train services and assess the rolling stock production requirement on any railway system. The analysis may help in making demand predictions for the busy season, and the management can make important decisions about the pricing of services.

Recent academic work on leadership has focused largely on organizational leadership. This study takes a close look at political leadership, especially that given to popular movements, and delineates a new model of transformational leadership.

The current study borrows models from organizational leadership research and applies them to a specific case study to reveal critical concepts underlying transformational leadership. Application of these models to Bangladesh's founding father, Bangabandhu Sheikh Mujibur Rahman, during the two decades of the 1950 and 1960s, shows potential for a new flexible framework for transformational leadership with added significance on leader–follower relatedness, socio-historical context and charisma.

This study presents clear evidence on the nature of leadership in popular movements and using a specific case study elucidates that movements pick leaders who meet distinct criteria specific to the movement, including a vision that resounds with key follower-groups and prototypicality.

This study presents a new lens under which political and popular leadership can be studied, focusing away from person, political party or rational choice and voting behavior-based ideas of political leadership.

The findings reveal the importance of seeking new ways to fit leadership theory with burgeoning social phenomenon.

The primary purpose of this paper is to fill the research gap regarding the evolution of managerial processes within (largely family) diamond industry firms, especially over the past seven decades.

Qualitative data were gathered from interviews with 100 managers in the diamond industry in Israel, together with data from Israeli Government, industry and academic sources.

Over the recent life cycle of the diamond industry, with its changing structures and dynamics, participant firms have evolved through seven stages of engagement, from one based on trust and personal connections to more impersonal, standardized connections that exist today.

In seeking to tell the story of industry participants as a group, the differences in behaviours between the family firms and the non-family firms have not explored. This should be the work of future research, which, if aimed at teasing out the results of this study, may help shed additional light on the strategic processes that occur within family firms.

Although the firms examined in this study were from one industry (and an arguably narrow cultural base), their development over time was not dissimilar to the experience reported in other industries and cultures. This suggests that the components of the evolution of the strategic process that ensues within family firms may be generalizable throughout cultures. In the absence of kin relationships, the importance of trust in their dealings cannot be overstated.

The findings demonstrate how one group of participants in the global diamond industry has responded to the changing economic, social and political contexts of their operations, where trust and personal connections have been replaced by more impersonal, standardized dealings.