It’s all about Trust and Loyalty: Partner Selection Mechanisms in Tourism Networks

Does expected partner or task related criteria affect how trust and loyalty is developed between tourism firms? This paper poses a model, which is developed on the assumption that well defined partner and task related partner expectations and experienced trust, should build loyalty between tourism firms. The model provides a more precise assessment for scholars, which believes that trust is related to the risk that is associated with personal relationships between two or more firms, and that risk depends on expectations that are derived from personal relationships. The model also integrates the role of experienced trust in transforming different partner selection criteria into loyalty. The contribution of the model is that it provides insights into cooperative relationships by examining the role of trust between small tourism firms when cooperation is established. Data from a sample of 96 tourism firms in the Northern U.S. is used to test the model. The findings provide implications for tourism scholars and policy-makers who are interested in developing managerial strategies that are based on personal relationships.Loyalty; partner selection; trust; tourism; Experience stratos

Multilevel modeling for longitudinal data: concepts and applications

Purpose – This paper aims to discuss multilevel modeling for longitudinal data, clarifying the circumstances in which they can be used. Design/methodology/approach – The authors estimate three-level models with repeated measures, offering conditions for their correct interpretation. Findings – From the concepts and techniques presented, the authors can propose models, in which it is possible to identify the fixed and random effects on the dependent variable, understand the variance decomposition of multilevel random effects, test alternative covariance structures to account for heteroskedasticity and calculate and interpret the intraclass correlations of each analysis level. Originality/value – Understanding how nested data structures and data with repeated measures work enables researchers and managers to define several types of constructs from which multilevel models can be used

Integrating the Expanded Task-technology Fit Theory and the Technology Acceptance Model: A Multi-wave Empirical Analysis

Task-technology fit theory proposes that the match between tasks and technologies, known as task-technology fit, has a positive relation with technology use and performance. Researchers have recently extended task-technology fit theory by conceptualizing task-technology misfit, which describes instances in which technology provides too few (too little) or too many (too much) features to perform a task. We link this newly expanded theory, which we label expanded task- technology fit (E-TTF) theory, with the technology acceptance model (TAM). We conducted a study and found that task- technology fit and too little significantly related to the variables in the TAM and that each ultimately had an indirect effect on use. In contrast, too much did not significantly relate to any variable in the TAM. These results support that E-TTF theory explains meaningful variance in the TAM, which suggests that integrating these theories is important for understanding technology use. Likewise, these results emphasize the importance of the multidimensional conceptualization that the E-TTF theory proposes. Too little (too few features) predicted outcomes beyond task- technology fit and meaningfully improved our model’s predictive abilities. In contrast, too much’s (too many features) relationships lacked significance, which emphasizes the need to distinguish types of task-technology misfit. Therefore, our study provides benefits for research on E-TTF theory, the TAM, and their integration

Root trait variability in Coffea canephora genotypes and its relation to plant height and crop yield

Co ee breeding based on root traits is important to identify productive genotypes under adverse environmental conditions. This study assessed the diversity of root traits in Co ea canephora and its correlation with plant height and crop yield. Undisturbed soil samples were collected down to 60 cm from 43 co ee genotypes, in which one of them was propagated by seed and all others by stem cutting. The roots were washed, scanned, and processed to quantify root length density, root volume, root superficial area, and root diameter. Additionally, plant height and crop yield were also assessed. Root length density ranged from 40 to 1411 mm cm3, root volume from 6 to 443 mm3 cm3, root superficial area from 61 to 1880 mm2 cm3, and root diameter from 0.6 to 1.1 mm. Roots were concentrated in the topsoil (0–20 cm) for most genotypes. In deeper depths (30–60 cm), root length density, root volume, and root superficial area were higher in genotypes 14, 25, 31, and 32. Positive correlations were found between root traits and both plant height and crop yield. The results of this work may contribute to the overall cultivation of C. canephora, specially for crop breeding in adverse environmental conditionsinfo:eu-repo/semantics/publishedVersio

Development and validation of attitudes measurement scales: fundamental and practical aspects

Purpose – This paper aims to present the fundamental aspects for the development and validation (D&V) of attitudes’ measurement scale, as well as its practical aspects that are not deeply explored in books and manuals. These aspects are the results of a long experience of the authors and arduous learning with errors and mistakes. Design/methodology/approach – The nature of this paper is methodological and can be very useful for an initial reading on the theme that it rests. This paper presents four D&V stages: literature review or interviews with experts; theoretical or face validation; semantic validation or validation with possible respondents; and statistical validation. Findings – This is a methodological paper, and its main finding is the usefulness for researchers. Research limitations/implications – The main implication of this paper is to support researchers on the process of D&V of measurement scales. Practical implications – Became a step-by-step guide to researchers on the D&V of measurement scales. Social implications – Support researchers on their data collection and analysis. Originality/value – This is a practical guide, with tips from seasoned scholars to help researchers on the D&V of measurement scale

Corporate branding’s influence on front-line employee and consumer value co-creation in UK household consumer markets

General managers are presented with an extensive opportunity to innovate and gain market advantage from front-line employees (FLEs) and consumers working together to exchange services and co-create value. To do this, general managers need to understand more about what influences the content and quality of FLE and consumer service exchanges? What predisposes FLEs to commit to service exchange and value co-creation? And what organizational phenomena can general managers use to influence this predisposition? This article presents results from an empirical research study of FLEs employed by a firm that provides installation, servicing and emergency services to domestic households across the United Kingdom. The study reveals the importance of the firm’s corporate brand in its influence upon FLE’s sense of membershipand attachment to a firm (organizational identity) and the consequent effect of this on their predisposition for serviceexchange (organizational commitment), that is, whether FLEs want to remain in their role, because they feel they ought to,want to or they have too much to lose by leaving

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM

A cross validation of Consumer-Based Brand Equity (CBBE) with Private Labels in Spain

Molinillo,S., Ekinci, Y., Japutra, A. (2014)'A cross validation of Consumer-Based Brand Equity (CBBE) with Private Labels in Spain'. in Martínez-López, Gázquez-Abad, J.C. and Sethuraman, R. J.A. (eds.) Advances in National Brand and Private Label Marketing. Second International Conference, 2015. Springer Proceedings in Business and Economics, pp. 113-125In recent years a number of Consumer-Based Brand Equity (CBBE) models and measurement scales have been introduced in the branding literature. However, examinations of brand equity in Private Labels (PL) are rather limited. This study aims to compare the validity of the two prominent CBBE models those introduced by Yoo and Donthu (2001) and Nam et al. (2011). In order to test the models and make this comparison, the study collected data from 236 respondents who rated private labels in Spain. A list of 30 different fashion and sportswear PL was introduced to respondents. These brands do not make any reference to the retail store in which they are sold. Research findings suggest that the extended CBBE model introduced by Nam et al. (2011) and Ciftci et al. (2014) is more reliable and valid than Yoo and Donthu’s model for assessing PL. Theoretical contributions and managerial implications are discussed.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech