The purpose of this paper is to explore the relationship between social networking sites (SNSs) users’ switching intentions and switching behavior. With regard to the former, the…
Abstract
Purpose
The purpose of this paper is to explore the relationship between social networking sites (SNSs) users’ switching intentions and switching behavior. With regard to the former, the authors focus on three factors (perceived value, trust, and perceived risk), and investigate whether and to what extent habit moderates the relationship between SNS-switching intention and actual switching behavior.
Design/methodology/approach
Data collection for this study was carried out using an anonymous survey. The questionnaire was devised based on the literature review. It consisted of a total of 34 items, all of which used the seven-point Likert scale, and was divided into nine sections. Data collection lasted for approximately three months from March to May 2015. Data analysis used SPSS and SmartPLS statistical software packages. First, the descriptive statistics were computed. Next, reliability as a measure of internal consistency was calculated. Then, the relations between all factors were explored.
Findings
Before they switch, users usually evaluate the perceived values and risks of the SNSs they might join, as well as establish the degrees of trust with respect to those networks. Hence, this study is potentially useful to SNS providers planning their business strategies, and/or seeking to optimize their services based on a detailed understanding of the concerns of users and potential users.
Originality/value
This study is of considerable importance to the future development of research on switching intention behavior theory and practice, adding to the body of work on specific frameworks that explain the SNS-switching intention and behavior. The main theoretical implication is that the epistemic value component of the perceived value may not significantly affect switching intentions, at least in the SNS context. In addition, the results regarding the moderating effects of habits are a useful confirmation, in the SNS context, of the findings of a small but important body of prior studies.
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Chun-Nan Lin and Jinsheng Roan
The purpose of this study is to explore some quantitative indicators from the social network analysis, observe the variations of these indicators over time and determine whether…
Abstract
Purpose
The purpose of this study is to explore some quantitative indicators from the social network analysis, observe the variations of these indicators over time and determine whether these indicators fit into the traditional team development stages model or theory. The primary focus is on the perspective of social interaction rather than the suitability of the indicator, i.e. the authors will not determine the optimal indicators nor compare the performance of different indicators. This study aims to propose a quantitative method to identify the development stages of virtual teams.
Design/methodology/approach
Two phases were designed in this study. The first phase was a simple study to prove the preliminary ideas and explore which quantitative indicators would be suitable for analysis. In total, 16 undergraduates were randomly assigned to two virtual teams. They were required to complete an information system (IS) project through virtual teamwork and use information and communications technologies (ICTs) to communicate with each other. After proving the preliminary ideas, the authors collected communication data of the 30 virtual teams working on IS projects in the second phase. The total duration of this process was two months.
Findings
The findings practically identified three stages, which were found to be consistent with that of the previous qualitative studies. In the initial (inclusion) stage, intensity had an upward trend. In the second (control) stage, centralization had an upward trend. In the final (affection) stage, intensity and density had upward trends and centralization had a downward trend. Both density and centralization also became smooth in this final stage. The conclusion can serve as a basis for further studies in virtual team development.
Originality/value
A successful virtual team will help industries to reduce their costs and increase performance and benefits. The findings will help industries quickly and objectively identify which stage they are at. This quantified approach will provide managers and leaders with a simple, useful way to highlight the needs for managing different aspects of team behavior at each stage of development. After establishing this approach, managers and leaders will be able to make plans to improve existing processes, set priorities, provide suitable principles and guidelines, etc., and eventually improve virtual team performance.
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Chun‐Nan Lin, Chih‐Fong Tsai and Jinsheng Roan
Because of the popularity of digital cameras, the number of personal photographs is increasing rapidly. In general, people manage their photos by date, subject, participants, etc…
Abstract
Purpose
Because of the popularity of digital cameras, the number of personal photographs is increasing rapidly. In general, people manage their photos by date, subject, participants, etc. for future browsing and searching. However, it is difficult and/or takes time to retrieve desired photos from a large number of photographs based on the general personal photo management strategy. In this paper the authors aim to propose a systematic solution to effectively organising and browsing personal photos.
Design/methodology/approach
In their system the authors apply the concept of content‐based image retrieval (CBIR) to automatically extract visual image features of personal photos. Then three well‐known clustering techniques – k‐means, self‐organising maps and fuzzy c‐means – are used to group personal photos. Finally, the clustering results are evaluated by human subjects in terms of retrieval effectiveness and efficiency.
Findings
Experimental results based on the dataset of 1,000 personal photos show that the k‐means clustering method outperforms self‐organising maps and fuzzy c‐means. That is, 12 subjects out of 30 preferred the clustering results of k‐means. In particular, most subjects agreed that larger numbers of clusters (e.g. 15 to 20) enabled more effective browsing of personal photos. For the efficiency evaluation, the clustering results using k‐means allowed subjects to search for relevant images in the least amount of time.
Originality/value
CBIR is applied in many areas, but very few related works focus on personal photo browsing and retrieval. This paper examines the applicability of using CBIR and clustering techniques for browsing personal photos. In addition, the evaluation based on the effectiveness and efficiency strategies ensures the reliability of our findings.
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Iván Santiago Galarza, Rocío Guadalupe León-Carlosama, Alba Grisela Cevallos-Pineda and Mónica Martínez-Gómez
The purpose of this research paper is to establish the impact of process and service innovation on non-financial and financial performance in the tourism sector, as well as to…
Abstract
Purpose
The purpose of this research paper is to establish the impact of process and service innovation on non-financial and financial performance in the tourism sector, as well as to explain the mediating role of organizational learning.
Design/methodology/approach
A quantitative approach was used, based on partial least squares–structural equation modeling (PLS-SEM), Smart PLS 4.0 software. The sample consisted of 426 establishments in the tourism sector in Zone I, Ecuador. Online surveys were employed to collect data, yielding 118 responses, to assess the impact of innovation on business performance from 2020 to 2022.
Findings
Process and service innovation positively and significantly affect non-financial and financial performance, respectively. Organizational learning mediates the relationship between process innovation and disservice. The relationship between non-financial and financial performance could not be confirmed. The model explains 53.10% of non-financial performance and 26.10% of financial performance.
Originality/value
The relationship between innovation and performance in the tourism sector has been studied in several developed economies, while little has been studied in developing countries. This work contributes to an empirical discussion including a mediating variable in the innovation–performance relationship in the Latin American context.
Propósito
El propósito de esta investigación es establecer el impacto de la innovación de procesos y servicios en el desempeño no financiero y financiero en el sector turístico, así como explicar el papel mediador del aprendizaje organizacional.
Diseño/metodología/enfoque
Se utilizó un enfoque cuantitativo, basado en el software PLS SE M, Smart PLS 4.0. La muestra estuvo constituida por 426 establecimientos del sector turístico de la Zona I, Ecuador. Se aplicaron encuestas en línea para recopilar datos, que arrojaron 118 respuestas, para evaluar el impacto de la innovación en el desempeño empresarial de 2020 a 2022.
Hallazgos
La innovación de proceso y de servicio afecta positiva y significativa al desempeño no financiero y financiero, respectivamente. El aprendizaje organizacional media la relación entre innovación de proceso y des servicio. No se pudo confirmar la relación entre desempeño no financiero y financiero. El modelo explica el 53.10% del desempeño no financiero y el 26.10 del desempeño financiero.
Originalidad/valor
La relación entre innovación y rendimiento en el sector turístico se ha estudiado en varias economías desarrolladas, mientras que en los países en desarrollo se ha estudiado poco. Este trabajo contribuye a una discusión empírica incluyendo una variable mediadora en la relación innovación-desempeño en contexto latinoamericano.