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Open Access
Article
Publication date: 13 July 2023

Ana Irimia-Diéguez, Francisco Liébana-Cabanillas, Antonio Blanco-Oliver and Juan Lara-Rubio

Traditional payment systems based on cash and bank cards are being replaced by new innovative formats. This research analyzes the success factors in the adoption by customers of…

1957

Abstract

Purpose

Traditional payment systems based on cash and bank cards are being replaced by new innovative formats. This research analyzes the success factors in the adoption by customers of Bizum, a peer-to-peer (P2P) mobile payment system widely used in Spain. This study proposes a theoretical framework based on the Stimulus–Organism–Response (S-O-R) model and includes the analysis of the moderating effect of perceived risk and the mediating effect of perceived trust.

Design/methodology/approach

To achieve the proposed objectives, an online questionnaire was administered to 701 Spanish smartphone users, potential users of the proposed P2P payment systems.

Findings

The results show that perceived usefulness is the most important predictor of intention to use. Additionally, a medium predictive relevance performance of the proposed model is found.

Originality/value

This research contributes to a more holistic understanding of the adoption of P2P payment systems and provides new business opportunities that companies can exploit through the use of this technology.

研究目的

以現金和銀行卡為基礎的傳統支付系統、正被嶄新而又富創意的模式取代。本研究擬分析驅使消費者使用Bizum的成功因素 (Bizum 是一個在西班牙得到廣泛使用的P2P移動支付系統) 。本研究以刺激-有機體-反應模型為基礎, 建議了一個概念框架;研究亦擬分析感知風險的調節作用, 以及感知信任的中介效應。

研究設計/方法/理念

為達研究目標, 研究人員處理了701名西班牙智慧型手機使用者回答的網上問卷, 這些使用者是本研究提出的P2P支付系統的潛在用戶。

研究結果

研究結果顯示、感知有用性是消費者會否使用P2P支付系統最重要的預測因素。研究結果亦顯示、本研究建議的概念框架的預測能力水平屬中等。

研究的原創性

本研究使我們對驅使消費者使用P2P支付系統的因素更全面地了解;研究也使企業可透過使用這技術, 為自己創造新的商機。

Details

European Journal of Management and Business Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2444-8451

Keywords

Article
Publication date: 12 September 2020

Arturo Calvo-Mora, Antonio Blanco-Oliver, José L. Roldán and Rafael Periáñez-Cristóbal

Within the framework of Total Quality Management (TQM) and the EFQM Excellence Model (EEM), the main objective of this paper is to develop a causal-predictive analysis of the…

1036

Abstract

Purpose

Within the framework of Total Quality Management (TQM) and the EFQM Excellence Model (EEM), the main objective of this paper is to develop a causal-predictive analysis of the relationships between soft and strategic-hard EFQM factors and the organisational results (customers, people, society and key results).

Design/methodology/approach

From a causal-predictive perspective, four EEM models, designed for each organisational result, are compared applying partial least squares structural equation modelling (PLS-SEM) and using a sample with 225 Spanish organisations.

Findings

The results confirm that soft and strategic-hard EFQM factors constitute a socio-technical system in which there are multiple direct and indirect relationships, between these factors and the results. Finally, the predictive nature of the proposed models is confirmed, highlighting the predictive performance of the people results model.

Practical implications

The results can lead to an improvement in organisational performance, as the developed models enable managers to anticipate the effects of their management decisions on those results concerning customers, people, society and key business results.

Originality/value

First, a novel way of grouping TQM enabler factors has been proposed within the EEM framework. Second, four research models have been generated, which allow carrying out an in-depth study of the direct and indirect relationships, between soft and strategic-hard EFQM factors and result variables. Finally, this contribution has applied the most updated techniques in order to assess the prediction performance of the four research models posited.

Details

Industrial Management & Data Systems, vol. 120 no. 12
Type: Research Article
ISSN: 0263-5577

Keywords

Content available
Article
Publication date: 17 October 2016

Jörg Henseler

1433

Abstract

Details

Industrial Management & Data Systems, vol. 116 no. 9
Type: Research Article
ISSN: 0263-5577

Article
Publication date: 28 February 2023

Isabel Abinzano, Harold Bonilla and Luis Muga

The aim of this paper is to provide an overview of the impact of the implementation of Colombian Corporate Insolvency Act 1116 of 2006 in the period 2008–2018 and to assess the…

Abstract

Purpose

The aim of this paper is to provide an overview of the impact of the implementation of Colombian Corporate Insolvency Act 1116 of 2006 in the period 2008–2018 and to assess the relevance of a broad set of financial predictors, as well as variables related to the economic context or the characteristics of the process itself, in explaining the failure of reorganization processes.

Design/methodology/approach

Both logit and probit models are estimated, starting from a large number of variables proposed in the literature which are then narrowed down to a final selection based on their individual significance and machine learning.

Findings

The results show the prevalence of a limited number of financial variables related to equity, indebtedness, profits and liquidity as predictors of the failure of reorganization processes. The use of financial information from the year prior to the completion of the reorganization improves predictive accuracy and reliability. The debt-to-equity indicator provides no significant explanatory power, while voluntary entry into a reorganization process favors its success.

Originality/value

While financial and accounting information is used across the literature to predict insolvency events, it is used here to predict success or failure in reorganization processes under the conditions imposed by a specific legislative act in a Latin American context.

Propósito

Proporcionar una panorámica de la implementación de la Ley 1116 de 2006 a partir de las empresas que suscribieron acuerdos de reorganización en Colombia en el periodo 2008–2018 y evaluar la relevancia de un conjunto amplio de predictores financieros, así como variables relacionadas con el entorno económico o de características del propio proceso, para explicar el fracaso de la reorganización.

Diseño/Metodología/Aproximación

Se han estimado tanto modelos logit como probit, partiendo de un amplio número de variables propuestas en la literatura, que luego se reducen a una selección final basada en su significancia individual y una metodología de machine learning.

Hallazgos

Un número reducido de variables relacionadas con los fondos propios, el endeudamiento, los beneficios y la liquidez prevalecen como predictores financieros del fracaso de los procesos de reorganización. El uso de información del año anterior al cierre del acuerdo mejora la precisión de las predicciones realizadas. El indicador de conversión de deuda en capital no ofrece capacidad explicativa significativa, mientras que la entrada voluntaria a la reorganización favorece su éxito.

Originalidad/Valor

Muchos trabajos han usado información financiera y contable para predecir eventos de insolvencia. En nuestro caso se usa esta información para predecir el éxito o fracaso de los procesos de reorganización bajo una ley específica en el contexto latinoamericano.

Details

Academia Revista Latinoamericana de Administración, vol. 36 no. 1
Type: Research Article
ISSN: 1012-8255

Keywords

Article
Publication date: 13 October 2022

Juan Antonio Giménez Espín, Daniel Jiménez Jiménez and Micaela Martínez Costa

This paper aims to adopt Cameron and Quinn’s analysis of organizational culture and March’s learning framework to analyze the type of organizational culture (OC) that promotes…

Abstract

Purpose

This paper aims to adopt Cameron and Quinn’s analysis of organizational culture and March’s learning framework to analyze the type of organizational culture (OC) that promotes learning competences and whether exploration and exploitation competences (ambidexterity) improve the European Foundation of Quality Management (EFQM) results (excellent results). In addition, this research tests if these competences exercise a mediating effect in the relationship between OC and performance.

Design/methodology/approach

A model is proposed whose relationships have been tested using structural equations. The sample was obtained from the SABI database. Two hundred valid questionnaires were returned via a webpage, in which four managers from each of the 200 organizations responded.

Findings

The results support the proposed relationships. Adhocracy, hierarchy and market culture have a positive relationship with excellent results. A hierarchical culture develops exploitation competences, and a market culture develops learning ambidexterity. Moreover, exploration and exploitation increase results. Finally, these two cultures indirectly influence results through exploration and exploitation competences.

Research limitations/implications

The proposed model can help managers who implement the EFQM model to better understand how the culture of their organization promotes learning and how these two variables improve their performance.

Practical implications

Because the EFQM model requires organizations to use a knowledge management system to enhance the effect of the enabliers criteria on excellent results, the managers of these companies must know that only market and hierarchy cultures are suitable for it. Besides, this study highlights the importance of two cultural values for the implementation of the EFQM Model and, therefore, to promote excellent results: market orientation and process control.

Originality/value

This study fills an existing gap in the literature by combining exploitation, exploration, OC and EFQM results in a single model and highlights the importance of market orientation and process control for excellent results and knowledge exploration and exploitation.

Details

Journal of Knowledge Management, vol. 27 no. 6
Type: Research Article
ISSN: 1367-3270

Keywords

Open Access
Article
Publication date: 4 March 2021

Kari Lepistö, Minna Saunila and Juhani Ukko

This study examines whether certification improves the dimensions of total quality management (TQM) and whether the impact of certification is similar across companies of…

3931

Abstract

Purpose

This study examines whether certification improves the dimensions of total quality management (TQM) and whether the impact of certification is similar across companies of different sizes and industries. The benefits of certification for companies have been widely discussed in recent years. The general debate has been partly marked by the dispute about whether companies will benefit more from certification or the implementation of TQM. This debate has led to numerous studies on the benefits of certification; however, few studies simultaneously have examined traditional TQM issues and the requirements of the new quality standard, ISO 9001: 2015, as well as the updated European Foundation for Quality Management (EFQM) criteria.

Design/methodology/approach

This study was conducted via a survey of Finnish SMEs and covered both industrial and service companies. The study comprehensively compared industrial companies with service companies and small companies with medium-sized companies.

Findings

In industrial and small enterprises, certification clearly has a positive effect on the dimensions of TQM, but a similar effect was not observed in medium-sized enterprises or in the service sector.

Originality/value

This is one of the first studies to examine the effect of certification on TQM in different types of SMEs while simultaneously considering EFQM and ISO 9001:2015 in Finland. The significant originality of this research lies in the formation of a comprehensive research framework for the dimensions of TQM.

Details

International Journal of Quality & Reliability Management, vol. 39 no. 1
Type: Research Article
ISSN: 0265-671X

Keywords

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