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The purpose of this paper is to explore the factors that drive the adoption of cloud-based services and further understand the impact of this adoption on the organizational flexibility. This study presents information technology executive’s perspective and discovers new constructs of organizational flexibility that can be achieved due to the adoption of cloud-based services, which is the main contribution of this paper.

This study uses in-depth interview approach. Total 21 Indian cases were studied by interacting with respondents having similar profiles (i.e. CIOs, CTOs, technology heads, and systems managers). Based on the literature review a semi-structured questionnaire was prepared and administered through in-depth interviews.

Analysis of data reveals that cloud-based services provide relative advantage in terms of scalability, accessibility, and on-demand deployment of services within no time. Easy to use interface, experience, and expertise of the cloud service provider as well as support from top management plays important role in the cloud adoption decision. Further the study also identifies that no matter which model of cloud-based services (software-as-a-service (SaaS), platform-as-a-service (PaaS), or infrastructure-as-a-service (IaaS)) is used; cloud-based services’ adoption impacts organizational flexibility, which can be divided into four categories, namely, economic flexibility, process flexibility, performance flexibility, and market flexibility.

This is an exploratory study conducted through in-depth interviews hence the results can further be verified through a quantitative research. The study does not explore negative factors that may discourage adoption of cloud-based services. Though two factors vendor lock-in and security emerged as a concern very prominently in the in-depth interviews but this issue can further be explored in detail.

This study bridge the gap in the research by identifying the factors that drive the adoption of cloud-based services in different forms (SaaS, PaaS, and IaaS) as well exploring the impact of cloud adoption on the organizational flexibility in case of Indian organizations.

Start‐up companies in particular can benefit from cloud computing services, since frequently they do not operate an internal IT infrastructure. The purpose of this paper is to present a total cost of ownership (TCO) approach for cloud computing services.

The authors applied a multi‐method approach (systematic literature review, analysis of real cloud computing services, expert interviews, case study) for the development and evaluation of a formal mathematical TCO model.

It was found that decision processes in cloud computing are conducted ad hoc and lack systematic methods. The presented method raises the awareness of indirect and hidden costs in cloud computing.

Some restrictive assumptions were made. For instance, cost types that focus on an existing internal IT infrastructure were hidden. Future research can combine risk and security aspects by means of a TCO approach. Additionally, benefits management in cloud computing is another new research field that can, for instance, be explored by means of cost‐benefit analyses.

The analysis of relevant cost types and factors of cloud computing services is an important pillar of decision making in cloud computing. The software tool allows for an easy application of the TCO model with reasonable effort.

The paper provides an evaluated mathematical model for the calculation of the TCO of cloud computing services. With this tool, decision makers are able to decide whether outsourcing into the cloud is monetarily attractive; to be more specific, whether the costs associated with cloud computing services are lower than with a pre‐existing infrastructure.

The restaurants in Peru enjoy today a high level of international recognition, and the gastronomy of the country is recognised as one of the best in the world. For this reason, aspiring to excellence should be one of the priorities in the industry, which should mean, among other things, enhancing those aspects related to food with the greatest impact on the maximum level of customer satisfaction. However, to the authors knowledge, this research line has not been addressed before in the context of Peruvian restaurant, so that this research focuses on assessing the influence of food – through the concept of food values –, on the probability of reaching the maximum level of satisfaction both with the food consumption experience and with the foods consumed in restaurants in Peru. This research also takes into account differences according to the geographical origin of the customers.

An in-person survey of customers was conducted at the exit of different flagship restaurants with a high level of recognition and tourist orientation in the department of Ayacucho (Peru) between September and November 2022. Five restaurants acknowledged as tourist restaurants were selected for this study, of which, one has been officially granted the status of Tourist Restaurant and One Fork, in accordance with the Peruvian legal regulations. A total of 468 valid questionnaires were collected. The database was analysed using descriptive statistics, principal component factor analysis for food values, and binary logistic regressions.

The following food values factors emerged from the factorial analysis: “Image and Accessibility (IAA)”, “Ethics and Sustainability (EAS)” and “Natural Food-Safe (NFS)”. For the overall sample, IAA is more influential in the probability of obtaining the maximum level of both satisfactions (i.e. satisfaction with the food consumption experience and with the foods consumed in restaurants in Peru). In second place, EAS, as well as NFS (the latter one with a significance level of 90%), also affect, in this order, the probability of obtaining the highest level of satisfaction, but only with the foods consumed. When the geographical origin of the customer is considered (regional, national, international), interesting findings appear. For national customers, IAA is the factor with the greatest impact on the probability of achieving the maximum level of the endogenous satisfaction variables considered, followed by EAS, whilst for regional customers, only EAS is found to be influential in the probability of obtaining the maximum level of both types of satisfaction. For international customers, no factor is found to exert a significant influence.

This is the first study to assess the influence of food values on the maximum level of satisfaction among restaurant customers in Peru with both the food consumption experience and the foods consumed. Thus, this research represents a notable contribution to this research line, especially considering the great international reputation of Peruvian cuisine.

Digital technologies create myriad innovation opportunities and have inspired the establishment of many new start-ups in recent years. Despite the growing knowledge on digital entrepreneurship, few studies explore how start-ups exploit these opportunities to achieve entrepreneurial success. The purpose of this paper is to explore start-ups’ capabilities for successful delivery of digital artefacts in a cloud computing infrastructure.

Empirical data were collected during a qualitative case study of an established start-up in the Chinese market by interviewing 41 interviewees. Informed by the notion of dynamic capabilities and using the Gioia methodology, the case firm's life cycle was analysed in detail.

The study identifies start-ups’ ordinary and dynamic capabilities for successful development and delivery of digital services. The findings provide insights into a portfolio of start-ups’ capabilities, namely adaptation, networking, reengineering and refinement.

The study suggests that start-ups’ capabilities and underlying entrepreneurial actions determine the degree to which adoption of digital technologies create and transfer value to customers. The study offers specific insights into how start-ups successfully develop and deliver digital artefacts in a cloud infrastructure based on entrepreneurs' prior expertise, vision and accumulated experience.

The purpose of this paper is to study bio‐safe technology – impact of rhizospheric bacteria Azotobacter and Bacillus within the composition of environmentally clean complex microbiological biofertilizer “BioWais” prepared on the basis of nitrogen‐, phospho‐ and silicon‐bacterin on physiological parameters of plants: growth, productivity, the role of rhizobacteria in plants resistance to biotic and abiotic factors.

The following contemporary methods of investigation of physiological parameters of biological objects: immunoenzyme analysis of phytohormones, method of combinatory light dissemination, determination of amino acid composition of grain proteins by ion‐exchange chromatography, spectrophotometric methods were used.

The positive impact of biofertilizer “BioWais” on plant growth and development, enhancement of resistance of bacterized plants to hypothermia and pathogenic infection, increase of carotid content were demonstrated.

The bacteria under study biopreparation were shown to act as plant growth‐promoting rhizobacteria foster increase of plant anti‐oxidant protection, adaptation of seedlings to hypothermia, synthesize cytokinins and indolyl acetic acid.

Bacterial preparation increases quality and amount of agricultures yield, it may be recommended to treat seeds prior to planting with the view to stimulate germination, to enhance plants resistance to hypothermia and fungus‐induced diseases, for improvement of plant growth and development.

New, innovative, environmentally pure bacterial preparation BioWais showed significant efficiency for a number of agrocultures and may be used for acquisition of safe plant products of high quality (with high content of protein, essential amino acids and carotin, potential source of vitamin A, low content of nitrates).

Hybrid cloud computing is considered a viable and cost-effective approach to satisfy the inability of a private cloud to meet the user requirements. The information status of the selected public cloud service may change at runtime which should be reflected at the broker server database. This research illustrates a mechanism to assist the IaaS discovery system to assess the status change of the selected public cloud service and to update the broker server database. The paper aims to discuss these issues.

A prototype was developed with the broker server as the main component in the service discovery system containing the status information of the selected public cloud service. The merge-ontology and patch-update methods were proposed, the processing cost details of each were measured, and the methods were evaluated.

Experimental results showed that in the merge update, the merging process incurred much longer time than its required communication, contributing to long overall time. Relatively, the patch update method incurred much less time than its counterpart.

The proposed mechanism is experimental with some ideal assumptions, and so further work in real conditions is needed for its improvement.

This research is believed to be the first proposal to investigate ontology merge/patch methods to support ontology update in the broker server database of a hybrid cloud and will serve as a reference to researchers in the field.

The main objective of this study is to propose a model to study the impact of radio-frequency identification (RFID) technology on organizational performance of the Library of the Academy of Arts in Iran. The Specialized Library at the Iranian Academy of the Arts (IAA) as one of the biggest national Iranian libraries has implemented and exploited RFID technology. This research aims to present a pattern for studying the effect of RFID on organizational performance at the Specialized Library at IAA from an employee’s perspective.

The statistical population includes 91 library staffs and managers of IAA. The data were collected through a questionnaire. The research literature was studied first, and the following four components were determined as research variables: service provision, costs, customer satisfaction and response time. The Cronbach’s alpha was calculated to test the questionnaire reliability, which resulted in an acceptable level of 0.829. The structural equation modelling method through SPSS and SmartPLS was applied to analyse the data.

The results indicate that there is a positive relationship between technology usage at the IAA library with an improved service provision, enhanced customer satisfaction and reduced response time; however, the hypothesis related to RFID usage and reduced costs was not supported.

As this study is limited to one library, it is recommended that to provide a suitable ground for benchmarking purposes and to facilitate successful implementation of RFID technology in other sectors of the country, future studies should be focused on various industries.

To the best knowledge of the authors, no comprehensive model has been developed to present a pattern for studying the effect of RFID on organizational performance, particularly in the context of Iran.

This study aims to provide insight into the determinants of wellness tourism satisfaction, thereby taking a nonlinear approach regarding the relationships between attribute-level performance of wellness facility attributes, on the one hand, and wellness destination attributes, on the other hand, and global wellness tourist satisfaction. In addition, scores of impact range are calculated to reveal the potentially most determinant wellness facility and destination attributes.

This study uses data from a survey-based study conducted among 1,331 wellness tourists who have engaged in wellness tourism activities at one of 28 hotels with wellness offerings and 10 spas in Croatia. Impact-asymmetry analysis and impact-range analysis are used to quantify the potential of individual wellness attributes to generate satisfaction and dissatisfaction among wellness tourists and to perform a classification of wellness attributes according to the three-factor theory of customer satisfaction.

Operators of wellness tourism facilities, as well as managers of wellness destinations, must not make any compromises in quality levels because most wellness attributes have significantly higher potential to frustrate than please tourists. Basic factors such as cleanliness, punctuality or safety turned out to have the strongest influence on global satisfaction levels. Moreover, in line with previous research, wellness tourists have large expectations from destinations to have a preserved and beautiful nature, which is by far the most influential destination attribute. In addition to a safe environment and high-quality accommodation, wellness tourists further prefer rich cultural offerings.

To the best of the authors' knowledge, this is the first study to apply a nonlinear analysis approach to the quality–satisfaction relationship in a wellness tourism setting. Moreover, to the knowledge of the authors, this is the only study that used separate attribute models for wellness facilities, on the one hand, and wellness destinations, on the other hand, based on a nation-wide sample that covers multiple cases (i.e. multiple facilities and destinations).

本研究旨在深入了解养生旅游满意度的决定因素, 从而采用非线性方法来研究（i）养生设施属性和 （ii）养生目的地属性对国际养生游客满意度的关系。此外, 本文还计算了影响范围的分数, 以揭示潜在的最具决定性的养生设施和目的地属性。

本研究使用了基于对 1,331 名养生游客进行调查问卷的数据, 这些游客曾在克罗地亚 28 的酒店以及10个水疗中心进行了养生旅游活动。本文采用影响不对称分析（IAA）和影响范围分析（IRA）来量化个体养生属性在健康游客中产生满意度和不满意的潜力, 并根据顾客三因素满意度理论对健康属性进行分类。

养生旅游设施的运营商以及养生目的地的管理者不能在质量水平上做出任何妥协, 因为大多数养生属性很可能使游客感到沮丧, 而不是取悦游客。事实证明, 清洁、准时及安全等基本因素对全球满意度影响最大。此外, 根据之前的研究, 健康游客对目的地抱有很大的期望, 希望拥有保存完好且美丽的自然风光, 这是最具影响力的目的地属性。除了安全的环境和高品质的住宿外, 养生游客更看重丰富的文化产品。

这是第一项将非线性分析方法应用于养生旅游环境中的质量与满意度关系的研究。此外, 据作者所知, 这是唯一一项基于涵盖多个案例（即多个设施及目的地）的国家样本, 一方面对养生设施使用单独的属性模型, 另一方面对养生目的地使用单独的属性模型的研究。

Este estudio tiene como objetivo proporcionar información sobre los determinantes de la satisfacción del turismo de bienestar, adoptando así un enfoque no lineal con respecto a las relaciones entre el rendimiento a nivel de atributos de (i) atributos de instalaciones de bienestar, por un lado, y (ii) atributos de destino de bienestar, por otro lado, y la satisfacción del turista de bienestar global. Además, se calculan puntajes de rango de impacto para revelar las instalaciones de bienestar y los atributos de destino potencialmente más determinantes.

este estudio utiliza datos de un estudio basado en encuestas realizado entre 1,331 turistas de bienestar que participaron en actividades de turismo de bienestar en uno de los 28 hoteles con ofertas de bienestar y diez spas en Croacia. El análisis de asimetría de impacto (IAA) y el análisis de rango de impacto (IRA) se utilizan para cuantificar el potencial de los atributos de bienestar individuales para generar satisfacción e insatisfacción entre los turistas de bienestar y para realizar una clasificación de los atributos de bienestar de acuerdo con la teoría de los tres factores del cliente. satisfacción.

Los operadores de instalaciones de turismo de bienestar, así como los administradores de destinos de bienestar, no deben comprometer los niveles de calidad porque la mayoría de los atributos de bienestar tienen un potencial significativamente mayor para frustrar que para complacer a los turistas. Los factores básicos, como la limpieza, la puntualidad o la seguridad, resultaron ser los que más influyeron en los niveles de satisfacción global. En consecuencia, estos atributos no deben verse como fuentes potenciales de satisfacción y deleite del cliente, sino que deben otorgarse altos niveles de desempeño para evitar una fuerte insatisfacción. Además, en línea con investigaciones anteriores, los turistas de bienestar tienen grandes expectativas de que los destinos tengan una naturaleza preservada y hermosa, que es, con mucho, el atributo de destino más influyente. Además de un entorno seguro y un alojamiento de alta calidad, los turistas de bienestar prefieren una rica oferta cultural. Aplicando la teoría de los tres factores, una visión más matizada de la formación de la satisfacción del turista de bienestar mostró que estos atributos del destino tienen un potencial mucho mayor para crear una fuerte insatisfacción que satisfacción.

Este es el primer estudio que aplica un enfoque de análisis no lineal a la relación calidad-satisfacción en un entorno de turismo de bienestar. Además, según el conocimiento de los autores, este es el único estudio que utilizó modelos de atributos separados para instalaciones de bienestar, por un lado, y destinos de bienestar, por el otro, en base a una muestra nacional que cubre múltiples casos (es decir, múltiples instalaciones y destinos).