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Article
Publication date: 11 August 2022

Maricela Salgado, María Valeria De Castro Martínez, Esperanza Marcos Martínez, Marcos López-Sanz and María Luz Martín-Peña

The purpose of the paper is to present a service design (SD)-based methodology developed to help small and medium enterprises (SMEs) undertake organisational change.

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Abstract

Purpose

The purpose of the paper is to present a service design (SD)-based methodology developed to help small and medium enterprises (SMEs) undertake organisational change.

Design/methodology/approach

This research used the design science research methodology, which enabled the creation of the Service Design for Organisational Change (SD4OCh) methodology. A real case study of a small service company specialised in neuropsychological disorders was used for the definition and validation of SD4OCh.

Findings

The main outcome of this study is the SD4OCh methodology, which is based on three key stages: diagnosis (knowing where to begin by detecting the organisation's strengths and weaknesses), innovation (improving the structure/processes and designing/redesigning services by employing a customer-centric approach), and implementation (enabling the definition of the route towards organisational change). There is also a transversal evaluation stage, which quantifies the organisational changes.

Research limitations/implications

This study adds valuable knowledge to the service science research field and contributes to the awareness of the usefulness of SD theory within companies, especially those which are small and medium-sized, since those companies lack the tools and methods required to tackle organisational change, signifying that the challenges the companies confront are different to those of larger companies.

Originality/value

Although this is a SD-based research, the SD4OCh methodology was developed in order to enable companies to make holistic changes, namely, to innovate their services, structure, and processes, thus supporting and guiding organisational change.

Details

Journal of Service Theory and Practice, vol. 32 no. 5
Type: Research Article
ISSN: 2055-6225

Keywords

Article
Publication date: 17 November 2020

Juan Carlos Aguirre, Marco Leonardo Peralta Zuñiga, Pedro Mora and Francisco Blanco

This article is based on the assumption that entrepreneurship improves quality of life (HDI). Its main objective is to establish causal relationships between entrepreneurship…

Abstract

Purpose

This article is based on the assumption that entrepreneurship improves quality of life (HDI). Its main objective is to establish causal relationships between entrepreneurship variables such as credits, innovation (R&D), business growth, foreign direct investment and the Global Competitiveness Index and how these have influenced a country's development.

Design/methodology/approach

To analyse and validate this assumption, relevant information has been extracted about Ecuador (the subject of the study) for the 1998–2017 period. The information has received the respective econometric treatment, through a multivariate estimation by the autoregressive vector (ARV) method that made it possible to establish impulse-response functions.

Results

The results indicate that there is a significant and positive statistical impact between the variables related to entrepreneurship and quality of life (HDI), with the exception of “Innovation”, which is not representative in the model, demonstrating that the investment made at country level in R&D is not sufficient to have an impact on the HDI. It was also determined that promoting entrepreneurship would be useful as this would alter the trend of the variables, making them conducive to increasing the HDI.

Originality/value

This article is one of the few to address this issue. It includes the self-regressive vector model as a key methodology used to evaluate and establish public policies. RVM has provided positive results in the field of economics and can be adopted in the area of entrepreneurship.

Propósito

El presente artículo se basa en el supuesto de que el emprendimiento mejora la calidad de vida de los individuos (IDH), siendo el objetivo principal establecer relaciones causales entre variables de emprendimiento como: Créditos, Innovación (I + D), Crecimiento Empresarial, Inversión Extranjera Directa e Índice de Competitividad Global; y, como estas han influido en el desarrollo de un país.

Diseño/metodología/enfoque

Para el análisis y validación del supuesto mencionado anteriormente, se ha extraído información relevante sobre el Ecuador (sujeto de estudio) para el período comprendido entre 1998 y 2017, a los cuales se les ha dado el respectivo tratamiento econométrico, a través de una estimación multivariante por el método de Vectores Autorregresivos (VAR) que permitió establecer funciones de impulso – respuesta.

Resultados

Los resultados señalan que existe una significativa incidencia estadística entre las variables relacionadas con el emprendimiento y la calidad de vida (IDH) de manera positiva, a excepción de la “Innovación” que no tiene representatividad en el modelo, demostrando que la inversión realizada a nivel país en I + D es insuficiente para impactar el IDH. También se determinó la conveniencia de impulsar el emprendimiento, pues esto cambia la tendencia de las variables haciéndolas favorables para el crecimiento del IDH.

Originalidad/valor

Este artículo es uno de los pocos en abordar esta problemática, además incluye el Modelo de Vectores Autorregresivos como una metodología clave para evaluar y establecer políticas públicas, que ha brindado resultados positivos en el campo de la Economía y que puede adoptarse en la rama del Emprendimiento.

Details

Academia Revista Latinoamericana de Administración, vol. 34 no. 1
Type: Research Article
ISSN: 1012-8255

Keywords

Article
Publication date: 7 March 2016

Ricardo Monge-González, Juan Antonio Rodríguez-Alvarez and Juan Carlos Leiva

The purpose of this paper is to estimate the impact of one productive development program (PROPYME) in a developing nation like Costa Rica. This program seeks to increase the…

Abstract

Purpose

The purpose of this paper is to estimate the impact of one productive development program (PROPYME) in a developing nation like Costa Rica. This program seeks to increase the capacity of small and medium-sized firms (SMEs) to innovate.

Design/methodology/approach

Impacts have been estimated assuming that beneficiary firms are trying to maximize their profits and that PROPYME aims to increase these firms productivity. The impacts were measured in terms of three result variables real average wages employment demand and the probability of exporting. A combination of fixed effects and propensity score matching techniques was used in estimations to correct for any selection bias. The authors worked with panel data companies treated and untreated for the period 2001-2011.

Findings

PROPYME’s beneficiaries performed better than other firms in terms of labor demand and their probability of exporting. In addition, the dose and the duration of the effects of the treatment (timing effects) are important.

Originality/value

The authors study the impact in ways that go beyond the average treatment effects on the treated (ATT) usually estimated in the existing literature. Specifically, the research focusses on the identification of the timing or dynamic effects (i.e. how long should we wait to see results?) and treatment intensity (dosage effects).

Propósito

Se estima el impacto de un programa de desarrollo productivo (Propyme) en un país en vías de desarrollo como Costa Rica. El Propyme busca incrementar la capacidad innovadora de las pequeñas y medidas empresas (pymes) costarricenses.

Diseño/metodológico

el impacto se ha estimado y evaluado asumiendo que las pymes beneficiaras buscan maximizar sus beneficios y que Propyme se enfoca en incrementar la productividad de esas empresas. El impacto se valoró en función de tres variables: salarios reales medios, empleo demandado y la probabilidad de exportar. Se utilizó una combinación de técnicas de efectos fijos y emparejamiento en las estimaciones con el fin de prevenir sesgos de selección. Se trabajó con un panel de datos, incluyendo empresas tratadas (beneficiarias de Propyme) así como no tratadas para el periodo 2001-2011.

Hallazgos

los beneficiarios de Propyme tuvieron mejor desempeño que las restantes empresas en términos de empleo demandado y su posibilidad de exportar. Adicionalmente los efectos dinámicos (dosis y duración) de los tratamientos son importantes.

Originalidad y valor

este artículo evalúa el impacto de una forma que va más allá de lo usual en la literatura por medio de los efectos promedios de los tratamientos sobre los beneficiarios. Esto por cuanto se enfoca en efectos dinámicos como la duración así como la intensidad.

Article
Publication date: 3 December 2021

Laura Fuentes-Moraleda, Ana Muñoz-Mazón, Coral Santiago-Rincón and Alicia Orea-Giner

This exploratory study aims to identify the main risk reduction strategies when individuals suffer from coeliac disease (CD) or non-coeliac gluten sensitivity (NCGS) travel. Based…

Abstract

Purpose

This exploratory study aims to identify the main risk reduction strategies when individuals suffer from coeliac disease (CD) or non-coeliac gluten sensitivity (NCGS) travel. Based on Yeung and Yee's (2013; 2019) model, the paper offers a new framework for analysing the main travel risk reduction strategies for people with specific food needs. The empirical work focuses on the perspectives of different stakeholders (CD and NCGS community, restaurant managers/service providers and nutritionists).

Design/methodology/approach

A qualitative approach based on thematic analysis is adopted. The results of 32 semi-structured in-depth interviews reveal different stakeholders' perspectives in order to understand the various strategies.

Findings

The findings confirm the high level of consensus that the main food risk reducers are: travel information, staff training in safety assurance, legislation and risk prevention protocols. The findings also show significant limitations in the information offered by restaurants, organisations and tourist destinations and the negative repercussions on the tourist experience and the reputation on a particular destination.

Practical implications

The results will help hospitality business managers and destination management organisations develop food risk reduction strategies to solve some of the most important food-related problems when people in this market segment travel.

Originality/value

This work contributes to the literature by providing a new framework on travel risk reduction strategies for people with specific food needs. The novelty of this research is mainly found in the study of risk reduction strategies related to the travel decision-making process for those with CD and NCGS from different perspectives.

Details

British Food Journal, vol. 124 no. 2
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 5 August 2022

Teresa Villacé-Molinero, Juan José Fernández-Muñoz, Ana Isabel Muñoz-Mazón, M. Dolores Flecha-Barrio and Laura Fuentes-Moraleda

This study proposes an extension of the theory of planned behaviour (TPB) model to understand international travellers' intentions to visit Spain. This study aims to compare…

Abstract

Purpose

This study proposes an extension of the theory of planned behaviour (TPB) model to understand international travellers' intentions to visit Spain. This study aims to compare whether the predictive variables of the intention to travel differ depending on nationality. The extension includes: perceived risk, loyalty to the destination, past travel experience, public opinion climate and electronic word-of-mouth (eWOM).

Design/methodology/approach

A multiple-indicator, multiple-cause (MIMIC) model was developed as a structural equational model to predict the 1,978 participants' intention to travel. The structural model was used to determine the theoretical model for the total sample and by nationality (Germans, Britons and those from other European countries).

Findings

The extended models fitted the data well, explaining 64%–68% of the total variance, while differences depending on tourist nationality were also found. The MIMIC model indicated that German people's intention to travel to a holiday destination was influenced by their perception of risk, eWOM and loyalty to the country. In the British group, only the TPB variables were relevant. For those of other European nationalities, loyalty and eWOM were also significant. Travel experience, used as a variable in previous studies, was shown not to be significant. Overall, these results offer insights into how people from diverse countries and cultures embrace the aforementioned constructs when making travel decisions.

Practical implications

This study also has practical implications for policymakers in holiday tourism destinations, such as Spain. In particular, this study provides a better understanding of Britons' and Germans' travel intentions and could be beneficial for guiding policies for the recovery of the tourism industry in major tourism destinations.

Originality/value

Previous studies have applied various extended TPBs to one specific country or made comparisons between Asian countries. This study’s proposal makes a comparison of the variables used to predict the intention to visit a holiday destination among the European countries.

目的

本研究提出了计划行为理论 (TPB) 模型的扩展, 以了解国际旅行者访问西班牙的意图。目的是比较旅行意图的预测变量是否因国籍而异。扩展包括:感知风险、对目的地的忠诚度、过去的旅行经历、舆论氛围和电子口碑(eWOM)。

设计/方法/方法

开发了一个多指标、多原因 (MIMIC) 模型作为结构方程模型来预测 1,978 名参与者的旅行意图。结构模型用于确定总样本和国籍(德国人、英国人和来自其他欧洲国家的人)的理论模型。

发现

扩展模型很好地拟合了数据, 解释了总方差的 64%–68%, 同时还发现了取决于旅游国籍的差异。 MIMIC 模型表明, 德国人前往度假目的地的意愿受到他们对风险、eWOM 和对国家忠诚度的认知的影响。在英国组中, 只有 TPB 变量是相关的。对于其他欧洲国家的人来说, 忠诚度和 eWOM 也很重要。旅行经验, 在以前的研究中用作变量, 被证明并不重要。总体而言, 这些结果提供了有关来自不同国家和文化的人们在做出旅行决定时如何接受上述结构的见解。

原创性/价值

以前的研究已经将各种扩展的 TPB 应用于一个特定的国家或在亚洲国家之间进行了比较。我们的建议对用于预测欧洲国家旅游目的地意图的变量进行了比较。

Objetivo

Este estudio propone una extensión del modelo de la teoría del comportamiento planificado (TPB) para comprender las intenciones de visitar España de los viajeros internacionales. El objetivo es comparar si las variables que predicen la intención de viajar difieren según la nacionalidad. Esta extensión del modelo incluye variables como: riesgo percibido, lealtad al destino, experiencia de viaje anterior, clima de la opinión pública y el boca a boca electrónico (eWOM).

Diseño/metodología/enfoque

Se desarrolló un modelo de indicadores y causas múltiples (MIMIC) como modelo de ecuaciones estructurales para predecir la intención de viajar de los 1978 participantes. El modelo estructural se utilizó para comprobar el modelo teórico para la muestra total y por nacionalidades (alemanes, británicos y otros países europeos).

Recomendaciones

Los modelos ampliados propuestos se ajustaron bien a los datos, explicando entre el 64% y el 68% de la varianza total, si bien se encontraron diferencias en función de la nacionalidad del turista. El modelo MIMIC indicó que la intención de los alemanes de viajar a un destino de vacaciones estaba influenciada por su percepción de riesgo, el eWOM y la lealtad a España. En el grupo británico, solo las variables TPB resultaron relevantes. Para el grupo de otras nacionalidades europeas, la lealtad y el eWOM también fueron significativas. Sin embargo, la experiencia de viaje, utilizada en estudios previos, se mostró no significativa en todos los grupos. En general, estos resultados ofrecen información sobre cómo las personas de diversos países y culturas adoptan los constructos antes mencionados cuando toman decisiones de viaje.

Originalidad/valor

Estudios previos han aplicado varios TPB extendidos a un país específico o han comparado los resultados entre países asiáticos. Nuestra propuesta hace una comparación de las variables utilizadas para predecir la intención de visitar un destino vacacional entre países europeos.

Article
Publication date: 14 March 2022

Diego Corrales-Garay, Marta Ortiz-de-Urbina-Criado and Eva-María Mora-Valentín

This paper aims to analyse the open data business models (ODBMs) as a source of knowledge and innovation to generate economic and social value. A framework for understanding ODBMs…

Abstract

Purpose

This paper aims to analyse the open data business models (ODBMs) as a source of knowledge and innovation to generate economic and social value. A framework for understanding ODBMs is presented. First, the knowledge structure of the ODBMs literature is identified. Second, a conceptual model for analysing the ODBMs is proposed. And finally, the future trends in ODBMs research are discussed.

Design/methodology/approach

In this paper, co-word analysis is performed to identify the topics related with ODBMs.

Findings

The ODBMs structure of knowledge is articulated in five themes: business model, smart city, business ecosystem, decision-making and innovation. Based on these results, a five-step model for analysing ODBMs is proposed. Finally, a discussion of the future trends of ODBMs focussed on a knowledge management perspective, open data ecosystems and business intelligence is presented.

Originality/value

The paper presents a picture of what, where, for whom and for what ODBMs have been studied and develops a new model to explain the value creation process of ODBMs. Taking a step further, applying the principles and models of knowledge management and business intelligence to ODBMs is also recommended in order to transfer and transform open data into valuable knowledge that can be used for developing apps. In that context, the importance of encouraging collaboration between different agents in the so-called open data ecosystem is presented.

Details

Business Process Management Journal, vol. 28 no. 2
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 3 September 2019

N. Arranz, Marta F. Arroyabe and Juan Carlos Fernandez de Arroyabe

The purpose of this paper is to analyze the effects of obstacles and institutional factors on the cooperation for innovation. The collaboration between different types of…

Abstract

Purpose

The purpose of this paper is to analyze the effects of obstacles and institutional factors on the cooperation for innovation. The collaboration between different types of organizations has been seen as a strategy that allows the firms to obtain reciprocal benefits, and that incentivises innovation. However, following D’Este et al. (2012) and Antonioli et al. (2017), the authors assume that the decision to cooperate is perceived as a strategy to overcome the obstacles and barriers of the innovation process.

Design/methodology/approach

The authors analyze these questions in the frame of the PITEC-2013 data that covers the period 2012–2013 and includes 5,461 Spanish innovative companies.

Findings

The results support that an important drive for the firm’s cooperation is to overcome the obstacles of the innovation process. Moreover, the type of partner for cooperation is influenced by the different perception that those companies have on the obstacles to innovation. Additionally, results contribute to the regional literature with new empirical evidence to characterize regions in terms of innovation. Such factors shed new light about the intensity of regional innovation and variables of the cooperation pattern.

Originality/value

Considering that a fourth of the Spanish companies develop technological cooperation agreements (PITEC, 2013), it is still observed that the level of cooperation and their results are lower with respect to other countries in the environment, therefore to analyze the role of cooperation agreements, evaluating the factors that characterize the dynamics of these agreements, is a critical research question for the Spanish economy.

Details

European Journal of Innovation Management, vol. 23 no. 4
Type: Research Article
ISSN: 1460-1060

Keywords

Article
Publication date: 18 July 2019

Fernando E. García-Muiña, Laura Fuentes-Moraleda, Trinidad Vacas-Guerrero and Juan José Rienda-Gómez

The hostile environments in which museums operate force them to be innovative. Most of them have fewer resources and are publicly owned. Because these factors may hinder their…

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Abstract

Purpose

The hostile environments in which museums operate force them to be innovative. Most of them have fewer resources and are publicly owned. Because these factors may hinder their innovative potential, this paper aims to propose an open innovation model adapted to this type of organization to improve visitors’ experience.

Design/methodology/approach

A qualitative method based on a thematic analysis is carried out. Data sources are: (i) focus group with stakeholders from the destination and (ii) in-depth interviews with museums experts.

Findings

This new framework is important because it brings something new to a field that previous research had barely considered. The study of the implementation of open innovation in publicly owned small and medium-sized museums brings to light the growing importance of the relational, organizational, technological and experiential dimensions, their interactions and their main constituent factors.

Research limitations/implications

The study is limited to a specific type of institution, and results should not be extrapolated to other contexts. The construct of open innovation is highly complex, and that advises future research to include other players. Quantitative methods and longitudinal techniques will contribute to tackling new challenges in future research works.

Practical implications

Results are helpful for museum managers and policymakers. Stakeholders improve their comprehension of how an open innovation model works because the paper offers a few guidelines for its active designing. A solid networking based on trust and the emphasis on improving the visitor experience determine making-decision processes.

Originality/value

The paper provides a systemic innovation management model for museums, where there is almost no previous research. It is theoretically supported in the open innovation paradigm, as well as the absorptive capacity framework. The emerging and central role of the experiential dimension constitutes another notable contribution to literature.

Details

International Journal of Contemporary Hospitality Management, vol. 31 no. 11
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 8 March 2023

Pilar Talón-Ballestero, Lydia González-Serrano, M. Dolores Flecha-Barrio and Alicia Orea-Giner

This research aims to answer two major research questions related to the COVID-19 crisis from a longitudinal approach: What is the revenue management (RM) role during the…

Abstract

Purpose

This research aims to answer two major research questions related to the COVID-19 crisis from a longitudinal approach: What is the revenue management (RM) role during the different periods subject to analysis? What are the RM strategies and measures implemented during this crisis in contrast with a non-crisis context? It also aims to propose an RM implementation model that provides a contingency plan to face future crises.

Design/methodology/approach

This qualitative study, following a longitudinal approach, analyses three round-table discussions with 11 internationally renowned experts during three key scenarios of the COVID-19 crisis: the lockdown period (from March to June 2020) and the following two summer seasons (the post-lockdown period): Post-lockdown I (the summer campaign, 2020) and Post-lockdown II (the summer campaign, 2021). Based on a deductive approach, thematic analysis is conducted using NVivo.

Findings

Further professionalisation of revenue managers, which has enabled the correct application of strategies and measures, highlighting the importance of not lowering prices, the flexibility of booking conditions, the development of other sources of income and the increase in the value of services, amongst others, are key factors in managing this crisis. The longitudinal analysis carried out in three different periods of this crisis shows how these measures have evolved and the contrast with RM application in a non-crisis context. The revenue manager's leadership and proactivity, the holistic organisation of RM marketing, commercial and sales departments and the quick adaptation of RM systems (RMSs) by modifying their algorithms are essential to reducing the impact of COVID-19 on the hospitality industry. This crisis has led the industry to rethink processes and strategies and to increase digitalisation. The proposed model, which considers the various RM strategies and measures implemented during COVID-19 in contrast to a non-crisis context, is the cornerstone for developing a graded contingency plan to face future crises. This research sheds light on the widely discussed role of RM during this crisis.

Research limitations/implications

This study has various limitations. First, the three round-table discussions were held online due to the health crisis, and the chosen webinar format may have biased the participants' answers due to its public nature. Second, the survey was carried out in Spanish. Despite the strong international profiles of the participants, cultural distortion may appear, suggesting that the research should possibly be extended to other cultural contexts in the future. Third, some of the participants were unable to attend all the round-table discussions due to their professional duties, so people with similar profiles were invited to the rest of the sessions.

Practical implications

The revenue manager's leadership and proactivity, the holistic organisation of RM marketing, commercial and sales departments and the quick adaptation of RMSs by modifying their algorithms are essential to reducing the impact of COVID-19 on the hospitality industry. This crisis has led the industry to rethink processes and strategies and to increase digitalisation. The proposed model, which considers the various RM strategies and measures implemented during COVID-19 in contrast to a non-crisis context, is the cornerstone for developing a graded contingency plan to face future crises. This research sheds light on the widely discussed role of RM during this crisis.

Originality/value

This work contributes to the literature by providing a model that considers the various RM strategies and measures implemented during COVID-19 in contrast to a non-crisis context. The novelty of this research is mainly found in the conducting of a deductive and longitudinal study considering previous research focussed on RM strategies applied during the COVID-19 crisis and supplementing it with new measures by applying qualitative techniques.

Details

International Marketing Review, vol. 40 no. 5
Type: Research Article
ISSN: 0265-1335

Keywords

Article
Publication date: 21 May 2019

Pilar Abad, Concepción De la Fuente-Cabrero, Lydia González-Serrano and Pilar Talón-Ballestero

The aim of this paper is to define which characteristics of a hotel and staff organization determine successful revenue management (RM) implementation in urban hotels.

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Abstract

Purpose

The aim of this paper is to define which characteristics of a hotel and staff organization determine successful revenue management (RM) implementation in urban hotels.

Design/methodology/approach

Multiple linear regression analysis was used to determine whether the characteristics of the hotel and the staff member in charge of RM are explanatory variables for the degree of RM implementation.

Findings

The findings show that hotel category, chain affiliation and the existence of qualified full-time staff are the determinants for successful RM implementation. The creation of the revenue manager position alone is not determinant in the degree of RM implementation, but his/her qualification and dedication are fundamental variables.

Research limitations/implications

Given that this survey was confined to the region of Madrid, it would be interesting to carry out similar research nationwide.

Practical implications

This study provides researchers and professionals guidance for the satisfactory implementation and use of RM, tailored to the characteristics of any given establishment. Therefore, this paper states that the creation of a qualified, on-site, full-time revenue manager position is crucial.

Originality/value

To the best of the authors’ knowledge, this is the first paper to conduct a formal statistical analysis of the relationship between hotel characteristics, staff organization and the degree of RM implementation. The greatest contribution of this research is the empirical demonstration that having a qualified full-time staff in charge of RM leads to better results in terms of RM implementation as opposed to not having one, having one part-time or having one at the corporate level. Therefore, this paper states that the creation of the professional revenue manager position within hotels is fundamental. Thus, the reported results provide a significant contribution to the literature related to the characteristics and organization of RM in hotels.

Details

Tourism Review, vol. 74 no. 3
Type: Research Article
ISSN: 1660-5373

Keywords

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