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The hospitality and tourism industry faces a number of workforce challenges, especially the high turnover rates and associated replacement costs associated with continually identifying and hiring new employees. The purpose of this paper is to discuss how hospitality and tourism organizations can use electronic human resource management (eHRM) and artificial intelligence (AI) to help recruit and select qualified employees, increase individual retention rates and decrease the time needed to replace employees. Specifically, it discusses how e-recruiting and e-selection and AI tools can help hospitality and tourism organizations improve recruiting and selection outcomes.

Research on eHRM, AI, employee recruitment and employee selection are applied to the hospitality and tourism industry and insights for how eHRM and AI can be applied to the industry are discussed.

eHRM and AI have the potential to transform how the hospitality and tourism industry recruit and select employees. However, care must be taken to ensure that the insights gained and the decisions made are well received by employees and lead to better employee and organizational outcomes.

This paper represents the first research that integrates research from eHRM and AI and applies it to the hospitality and tourism industry.

This paper represents the first research that integrates research from eHRM and AI and applies it to the hospitality and tourism industry.

Using data from 184 employed Hispanic‐American and Anglo‐American participants in the United States, the present study examined the relations between four cultural values (i.e., collectivism, power distance, familism, present time orientation) and job choice preferences. Results revealed that (1) collectivism was positively related to the importance of coworkers and working in a diverse organization, (2) familism was related to preferences for jobs with personal time off, and (3) power distance was related to the importance of organizational reputation and promotion opportunities. In addition, the findings revealed that, relative to Anglo‐Americans, Hispanic Americans felt that organizational reputation, flexible work hours, bonuses, and diversity were more important job choice factors. Implications are offered for conducting future research on job choice and developing recruitment practices in multicultural organizations in the United States.

The purpose of this study was to develop and empirically examine a model of cloud-based human resource information systems (HRIS) adoption by small businesses based on the technology–organization–environment model (Tornatzky & Fleischer, 1990).

This study utilized a survey of 41 small- to medium-sized enterprises in the northeastern United States to examine what HR functions were being supported by cloud-based HRIS and the relationship between three technology factors, three organizational factors, and three environmental factors, and their relationship with the adoption of cloud-based HRIS.

Findings indicated that small businesses are most likely to implement cloud-based HRIS to support day-to-day HR operations. In addition, the findings indicated that top management support (positive), vendor support (positive), and anticipated growth (negative) were each related to organizational adoption of cloud-based HRIS.

The study illustrates how the adoption of a cloud-based HRIS is motivated by different factors than those underlying the adoption of other types of information systems. Executives and small business owners will need to adapt their strategy when considering cloud-based HRIS compared to other types of systems.

Given that small- to medium-sized organizations are the backbone of most global economies, findings from this study can help support society by helping these businesses better understand how to best consider the factors that will support the implementation of cloud-based HRIS.

This chapter represents one of the first to empirically validate a model of the factors affecting adoption of cloud-based HRIS by small businesses.

The purpose of this paper is to integrate previous research findings on the factors which affect e‐learning effectiveness. To do this, a model is developed which proposes that the effects of individual learner characteristics and technology characteristics on e‐learning outcomes are partially mediated by the metacognitive learning processes in which the learner engages.

A survey of 914 individuals in an online introductory information systems course examines the relations between general computer self‐efficacy (GCSE), locus of control, age, peer interaction, technology reliability, social presence, media synchronicity, and metacognitive activity and the e‐learning outcomes of course, performance, course utility, and course satisfaction.

The results indicate that GCSE, age, social presence, reliability, media synchronicity, and metacognitive activity are related to course satisfaction and utility judgments. In addition, age, metacognitive activity, and reliability are related to course performance and interaction is related to satisfaction. Finally, metacognitive activity partially mediates the relationship between social presence, media synchronicity and satisfaction, and utility judgments.

This paper represents one of the first to investigate a model of e‐learning effectiveness which integrates research on metacognitive activity as well as the role of technology and trainee characteristics.

Neural networks offer an alternative to numerical scoring schemes for credit granting and extension decisions. A standard back‐ propagation neural network running on a DOS personal computer is used with 125 credit applicants whose loan outcomes are known. Applicant characteristics are described as input neurons receiving values representing the individuals' demographic and credit information. Three categories of payment history, delinquent, charged‐off, and paid‐off, are used as the networks output neurons to depict the loan outcomes. After training on part of the data, correct classifications were made on 76–80% of the holdout sample.

To compete in an increasingly volatile global business environment, many firms are choosing to partner with multiple firms, creating a series of independent alliances which have been called virtual organizations. Enabled by the advances in information and communication technologies, these virtual organizations often utilize a different organization structure than traditional organizations. With this new structure comes a need for a deeper understanding of the impacts this structure has on the human resource concerns within the virtual organization. Although much research has focused on the technological and communication requirements for virtual organizations, limited research has been conducted focusing on the broader managerial issues facing these organizations. Using the organizational framework developed by Galbraith (1973), this chapter outlines some of the changes in human resource management that a virtual organization both enables and necessitates and the implications this has for the role and responsibility of managers in the 21st century virtual organization.

A survey of some means—mostly photographic or mechanised—of converting a large card catalogue to book form. Details are those calculated for the Main Library catalogues at Birmingham University.

Uses Monte Carlo simulation to demonstrate the benefits of employing a currency swap to hedge the exchange rate exposure in a single international real estate investment. The only cashflow exposed to the currency fluctuations is the appreciation associated with the investment. Shows that this hedging technique has some potential for protecting the investor from adverse currency fluctuations if an international real estate investment is made. However, promises to explore unresolved issues in future research. Demonstrates that some elements of exchange rate risk may be hedged, resulting in improved risk‐adjusted returns. Thus extends earlier research in international property investment and suggests that international real estate strategies based on diversification (as opposed to currency plays) may be more effective than has been argued in previous research.

Considers the relevance for marketing practitioners of the recent research findings about the decision‐framing process. Presents an overview of recent empirical research findings and a brief description of the theoretical rationale of the research. Surmises that decision‐framing of alternatives has a substantial impact on the choice among alternatives, even when relevant objective information remains invariant.