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Turnover in high-tech companies has long been a concern for managers and executives. Recent meta-analyses from the general turnover literature consistently show that job satisfaction is a major attitudinal antecedent to turnover intention and turnover behavior. Additionally, the available research on information technology (IT) employees focuses primarily on turnover intentions and not on a risky decision-making perspective and actual turnover (turnover behavior). The paper aim is to focus on that.

This study uses hierarchical ordinary least squares, process (Preacher and Hayes, 2004) and logistic regression.

The main predictor of actual turnover is risky decision-making, whereas job satisfaction is the main predictor of turnover intention.

The joint effects of risk and job satisfaction on turnover intention and behavior have not been studied in the IT domain. Hence, this study extends our understanding of turnover in general and particularly among IT employees by studying the combined effect of risk and job satisfaction on turnover intentions and turnover behavior. The study’s theoretical and practical implications are likewise discussed.

This study aims to argue that user’s continued use behavior is contingent upon two perceptions (i.e. the app and the provider). This study examines the moderating effects of user’s perceptions of apps and providers on the effects of security and privacy concerns and investigate whether assurance mechanisms decrease such concerns.

This study conducts a scenario-based survey with 694 mobile cloud computing (MCC) app users to understand their perceptions and behaviors.

This study finds that while perceived value of data transfer to the cloud moderates the effects of security and privacy concerns on continued use behavior, trust only moderates the effect of privacy concerns. This study also finds that perceived effectiveness of security and privacy intervention impacts privacy concerns but does not decrease security concerns.

Prior mobile app studies mainly focused on mobile apps and did not investigate the perceptions of app providers along with app features in the same study. Furthermore, International Organization for Standardization 27018 certification and privacy policy notification are the interventions that exhibit data assurance mechanisms. However, it is unknown whether these interventions are able to decrease users’ security and privacy concerns after using MCC apps.

The objective of this paper is to employ a model to expand the literature's comprehension of the organisational citizenship behaviour (OCB) phenomenon in the Indian banking sector. The authors examine OCB as a mediator of the relationship between job embeddedness (JE), self-efficacy (SE) and organisation effectiveness (OE). The authors also verify the moderating role of affective commitment (AC) on the JE, SE and OE relationship.

Data for the purpose of this paper are collected from 568 employees in 89 branches of banks located in North and Central India using a survey questionnaire. The data collected were analysed using structural equation modelling (SEM).

The findings confirm the positive association between JE, SE and OE. The results also suggest that OCB mediates the association between the independent and dependent variables. Furthermore, the authors observed that AC moderates the OCB and OE relationship.

The results of this examination will assist the employees to realise the substance of OCB in directing their performance towards OE. This investigation will inspire bank managers to notice that employee readiness to put in extra effort in a bank is primarily the effect of apt individual characteristics, namely JE and SE, that can be shaped and developed. Furthermore, this study draws the attention of bank managers towards the significance of AC, as an essential phenomenon to emotionally attach the employees to their organisation.

This study contributes to the existing literature on OCB by examining how OCB leads to desired outcomes and the conditions that promote the effect of OCB. The authors address these questions by building on a more contemporary perspective, i.e., PsyCap.

This study aims to examine the direct influence of supervisor ostracism on employee turnover intention and the mediating roles of employee cynicism and job embeddedness.

Surveys were conducted to collect data in 3 waves, and 211 samples were finally obtained. The hypothesised relationships were tested using hierarchical multiple regression analyses and ProClin bootstrapping.

The results suggested that supervisor ostracism was positively related to employee turnover intention and that employee cynicism and job embeddedness played mediating roles. The analysis further confirmed that employee cynicism and job embeddedness played serial, double-mediating roles between supervisor ostracism and employee turnover intention.

This study helps understand the influence of supervisor ostracism on employee turnover intention, mitigating undesirable consequences that lead to employee turnover intention.

This study refines the knowledge on workplace ostracism, explores the impact of supervisor ostracism on employee turnover intention from different perspectives and reveals the relationship between them. It integrated cultural factors in a Chinese context, providing a further reference for local management practices.

This paper aims to provide a comprehensive analysis of the state of the art in energy efficiency for autonomous mobile robots (AMRs), focusing on energy sources, consumption models, energy-efficient locomotion, hardware energy consumption, optimization in path planning and scheduling methods, and to suggest future research directions.

The systematic literature review (SLR) identified 244 papers for analysis. Research articles published from 2010 onwards were searched in databases including Google Scholar, ScienceDirect and Scopus using keywords and search criteria related to energy and power management in various robotic systems.

The review highlights the following key findings: batteries are the primary energy source for AMRs, with advances in battery management systems enhancing efficiency; hybrid models offer superior accuracy and robustness; locomotion contributes over 50% of a mobile robot’s total energy consumption, emphasizing the need for optimized control methods; factors such as the center of mass impact AMR energy consumption; path planning algorithms and scheduling methods are essential for energy optimization, with algorithm choice depending on specific requirements and constraints.

The review concentrates on wheeled robots, excluding walking ones. Future work should improve consumption models, explore optimization methods, examine artificial intelligence/machine learning roles and assess energy efficiency trade-offs.

This paper provides a comprehensive analysis of energy efficiency in AMRs, highlighting the key findings from the SLR and suggests future research directions for further advancements in this field.

This study aims to test negotiation outcomes when bilinguals negotiate in a foreign rather than their native language. Decision research on the foreign language effect indicates that bilingual individuals may be less susceptible to framing bias when using a foreign language because they make less emotional and biased choices. With increasing international business activity, there is a pressing need to examine the effect of language on bilingual negotiators.

The authors tested the hypotheses using a two (task frame: gain vs loss) × 2 (language: foreign vs native) factorial design recruiting 246 Korean–English bilinguals. A negotiation simulation with three issues was used, and participants exchanged offers with a preprogrammed computer they believed to be a real counterpart.

There was no significant interaction effect between framing and language on the offers made, but the framing effect was mitigated and nonsignificant for negotiators who used their foreign language. The interaction between framing and language conditions significantly affected negotiators’ positive emotions and satisfaction with the negotiation.

The uniqueness of this paper is related to its effort to investigate the effect of negotiation language on a negotiator’s decision-making. Considering globalization and the increasing prevalence of international negotiations, this paper has implications for researchers and practitioners.

When organizations implement a new information system (IS), they often experience users' resistance behaviors. This study explored the effects of IS self-efficacy, perceived ease of use, perceived usefulness, and anxiety on resistance to IS change within the hospitality domain. It also compared these relationships before and after completing e-learning courses for a new IS.

Survey responses were gathered from current and future hospitality employees. All hypotheses were tested via confirmatory factor analysis and structural equation modeling.

The results demonstrated that (1) IS self-efficacy had significant effects on both perceived usefulness and perceived ease of use of IS; and (2) IS anxiety had a significant impact on resistance to IS change, both before and after completing the e-learning courses. The results also showed that self-efficacy had a significant effect on anxiety and, in turn, resistance to change, after completing the e-learning courses, but not prior to the training.

This study addressed the lack of theory-driven empirical research on predictors of user resistance to IS change, based on social cognitive theory, technology acceptance models, and user resistance research.

Based on the findings, hospitality operators and vendors can focus on improving factors influencing user adoption of a new IS when they design and implement it. Operators can design better change management strategies to reduce resistance to IS change.

Few investigations have been conducted to explain the relationships among the aforementioned factors, before and after completing e-learning for a hospitality IS.

This study aims to propose a risk-induced game theoretic forecasting model to predict average daily rate (ADR) under COVID-19, using an advanced recurrent neural network.

Using three data sets from upper-midscale hotels in three locations (i.e. urban, interstate and suburb), from January 1, 2018, to August 31, 2020, three long-term, short-term memory (LSTM) models were evaluated against five traditional forecasting models.

The models proposed in this study outperform traditional methods, such that the simplest LSTM model is more accurate than most of the benchmark models in two of the three tested hotels. In particular, the results show that traditional methods are inefficient in hotels with rapid fluctuations of demand and ADR, as observed during the pandemic. In contrast, LSTM models perform more accurately for these hotels.

This study is limited by its use of American data and data from midscale hotels as well as only predicting ADR.

This study produced a reliable, accurate forecasting model considering risk and competitor behavior.

This paper extends the application of game theory principles to ADR forecasting and combines it with the concept of risk for forecasting during uncertain times.

This study is the first study, to the best of the authors’ knowledge, to use actual hotel data from the COVID-19 pandemic to determine an appropriate neural network forecasting method for times of uncertainty. The application of Shapley value and operational risk obtained a game-theoretic property-level model, which fits best.

Amidst pressing environmental concerns, the service industry has increased its focus on sustainable production and consumption patterns. This study aims to explore whether Generation Z’s perceived value of plant-based food influences feelings of guilt as a result of consuming meat instead of plant-based food and/or pride from consuming plant-based foods, which might then lead to decisions to purchase alternative plant-based products at restaurants.

A survey was conducted measuring a range of variables and their relationships. The hypothesized model was tested using covariance-based structural equation modeling.

Results showed that perceived social value significantly influenced guilt and pride with perceived emotional value only influencing pride. Both guilt and pride significantly influenced the decision to switch eating patterns from conventional meat to plant-based protein at restaurants. And, finally, environmental concern significantly moderated the effect of emotional value on guilt.

To achieve sustainable goals, food producers should promote plant-based menu items by increasing the awareness of social approval through marketing communications.

This study bridges a gap in the literature by investigating how consumers’ perceived value affects their anticipated emotional feelings of guilt and pride leading to the switch from meat-based to plant-based diets at restaurants.

This article aimed to propose and validate a roadmap to enhance the insertion of social sustainability practices in logistics activities considering the scenario of companies operating in Brazil.

The initial construction of the aforementioned roadmap was based on a detailed literature review and the fine-tuning as well as validation of it was carried out through a Delphi process developed with professionals specialized in the area of logistics and sustainability.

As main results, it is highlighted that the validated roadmap includes actions ranging from meeting and adapting legal issues related to sustainability, through the initial diagnosis of the company, motivation and awareness of the importance of social sustainability, followed by encouraging the inclusion of social sustainability practices in logistic activities, and finally, the identification of opportunities for improvement and establishment of execution plans within the organization. The phases and actions of the validated roadmap converge towards restructuring and redefinition of the organizational culture oriented towards meeting sustainable guidelines, and also contemplate the dynamics of seeking continuous improvement throughout all levels and sectors belonging to a given organization.

The originality of this study lies in the fact that the roadmap focuses on the inclusion of social sustainability practices in logistic activities, since, according to the literature, social aspects are still relegated to the background when compared to environmental and economic aspects.