This paper aims to examine the application of value co-creation approach in online travel service based on service-dominant logic. Drawing on recent works, the research indicates travellers as co-creators of value and emphasizes the development of customer–supplier interaction. The paper presents three case studies to analyse global travel service suppliers’ (service providers) behaviour: CouchSurfing International, Inc.; TripAdvisor LLC, AirBnbINc. Case studies analysis is followed by netnographic research of 22 different discussions (1243 records) in online forums related to selected service suppliers. The research findings suggest that value co-creation approach can be effectively used to analyse processes in global online travel service section. The originality of the paper lies in exploring the contribution of co-creation approach which allowed to identify the patterns of actions and behaviour of the online travel service providers and their consumers. As an additional value of the research, it was found that the online travel service providers integrate customer-to-customer interactions as a value co-creation in their platforms using consumers’ resources such as time, knowledge and experience.

The present study aims to elucidate the main variables that increase the level of stress at the beginning of military conscription service using an artificial neural network (ANN)-based prediction model. Random sample data were obtained from one battalion of the Lithuanian Armed Forces, and a survey was conducted to generate data for the training and testing of the ANN models. Using nonlinearity in stress research, numerous ANN structures were constructed and verified to limit the optimal number of neurons, hidden layers, and transfer functions. The highest accuracy was obtained by the multilayer perceptron neural network (MLPNN) with a 6-2-2 partition. A standardized rescaling method was used for covariates. For the activation function, the hyperbolic tangent was used with 20 units in one hidden layer as well as the back-propagation algorithm. The best ANN model was determined as the model that showed the smallest cross-entropy error, the correct classification rate, and the area under the ROC curve. These findings show, with high precision, that cohesion in a team and adaptation to military routines are two critical elements that have the greatest impact on the stress level of conscripts.

Although the large body of literature suggests that trust is a prerequisite for knowledge sharing, the understanding of mediational pathways remains limited. The paper fills the gap by combining two separate streams in knowledge sharing, where the first reflects the paradigm of the organizational behaviour theory and highlights the impact of organizational culture and employees’ trust; where the second one discloses the impact of technology deployment in knowledge sharing. Building on the premises that interdependence between variables that affect knowledge sharing raises form organizational culture of trust and available technologies, we examine the structural origins of knowledge sharing. As a method structural equation modelling test was used to analyse the data. Hypothesised five-factor model was tested through two stages using AMOS software. The findings carry theoretical implications for the knowledge management body of knowledge since they extended the research on knowledge sharing by integrating organisational culture and technological solutions into one complex system. Form practical perspective, the relationship among four predictors – trust in leadership, trust in co-workers, trust in technologies for knowledge management, and fear of losing one’s value – provide a proof on how organizations knowledge sharing is composed and how it could be developed.

The article analyzes the generational (age cohorts) effect on subjective wellbeing at work. The main aim is to reveal generational differences that lead to subjective wellbeing at work and possible discrepancies between the generations. The article contributes to the literature by creating and testing a theoretical model of subjective wellbeing at work as a composition of several dimensions that vary among generations, including physical experience, cognitive job performance, and appraisal, as well as social relationships and socio-emotional enablement at work. Using the military as an organization where daily routine creates similar conditions for different generations, we surveyed 890 army professionals representing three different generations: Gen Y, Gen X, and Gen Z. A structural equation modelling (SEM) technique is used to test the research model. The results support the hypothesis that generation has a strong moderating impact on the components of subjective wellbeing at work. Social relationship, as a socio-emotional experience, is the most important component of wellbeing at work for Gen Z, while socio-emotional enablement plays a central role in subjective wellbeing at work for Gen X and Gen Y.

As time‐varying volatility has found applications in roughly all time series modelling in economics, it largely draws attention in the areas of financial markets. This study also examines the characteristics of conditional volatility in the Baltic Stock Markets (Estonia, Latvia and Lithuania) by using a broad range of GARCH volatility models. Correctly forecasting the volatility leads to better understanding and managing financial market risk. Daily returns from four Baltic stock indexes are used; Estonia (TALSE index), Latvia (RIGSE index), Lithuania (VILSE index) and synthetic BALTIC benchmark index. We test a large family of GARCH models, including; the basic GARCH model, GARCH‐in‐mean model, asymmetric exponential GARCH and GJR GARCH, power GARCH and component GARCH model. We find strong evidence that daily returns from Baltic Stock Markets can be successfully modelled by GARCH‐type models. For all Baltic markets, we conclude that increased risk will not necessarily lead to a rise in the returns. All of the analysed indexes exhibit complex time series characteristics involving asymmetry, long tails and complex autoregression in the returns. Results from this study are firmly recommended to financial officers and international investors. Santrauka Straipsnyje analizuojamas salyginis Baltijos vertybiniu popieriu rinku (Estijos, Latvijos ir Lietuvos) nepastovumas, taikant eile GARCH kintamumo modeliu. Pažymetina, kad tinkamai prognozuojant nepastovuma, galima geriau suvokti ir valdyti finansiniu rinku rizika. Straipsnyje remiamasi keturiu Baltijos šaliu kasdienemis akciju indeksu gražomis; Estijos (TALSE indeksu), Latvijos (RIGSE indeksu), Lietuvos (VILSE indeksu) ir sintetiniu palyginamuoju BALTIC indeksu. Pritaikius eile GARCH kintamumo modeliu, galima teigti, kad didejanti rizika Baltijos šaliu rinkose nebūtinai itakos vertybiniu popieriu gražos augima. Tyrimo metu gauti rezultatai rekomenduojami finansu specialistams ir investuotojams.

The purpose of this study is to evaluate the effect of hardiness on the perceived military performance of reservists, i.e., young people who have full-time jobs in a civilian sector and perform military training as a part of their civic duty. We proposed the conceptual model with conditional indirect effects of the hardiness on personal military performance, where mediated moderation effects are observed from personality traits and variables important for military service: team cohesion, perceived stress, and psychological resilience. The final dataset was comprised of 384 self-reported paper–pencil questionnaires filled out by reserve soldiers, and PROCESS Macro 3.5 Model 7 and Model 14 were used for the analysis. The results revealed that perceived stress (Model 1) and psychological resilience (Model 2) have a statistically significant moderate mediating effect on the interlink between hardiness and performance when personality traits and team cohesion are taken into consideration. The change in R² is statistically significant and explains how perceived stress and psychological resilience affect individuals. When psychological hardiness is low, the level of perceived stress has a statistically significant moderating effect, i.e., it reduces the effect of hardiness on performance. When comparing the effects of perceived stress and psychological resilience, the latter has a stronger moderating effect on performance. Specifically, the moderating effect of resilience was more evident in Model 2 (66.9% variance, r = 0.818) for the military performance of the reservists than the perceived stress in Model 1 (52.5% variance, r = 0.724). This means that resilience increases the accountability of Model 2 compared to Model 1 by 14.4%. We conclude that resilience training could statistically significantly increase the military performance of reserve soldiers as a tactical population.