scholarly journals E-banking in Colombia: factors favouring its acceptance, online trust and government support

2018 ◽  
Vol 36 (1) ◽  
pp. 170-183 ◽  
Author(s):  
Javier A. Sánchez-Torres ◽  
Francisco-Javier Arroyo Canada ◽  
Alexander Varon Sandoval ◽  
James-Ariel Sánchez Alzate

Purpose The purpose of this paper is to examine the adoption of e-banking in Colombia, including a comprehensive analysis of consumer trust in this type of transaction and of the impact of the current government policy to promote e-commerce. Design/methodology/approach An empirical investigation based on the UTAUT2 model collected data from throughout the country to develop 600 online questionnaires. Findings The proposed model was validated in that the factors hypothesised to build trust in the use of electronic banking were shown to be significant: trust, performance expectancy and effort expectancy had a positive impact on the use of financial websites in Colombia, while government support did not have a significant impact. Research limitations/implications The study explains the antecedents to trust, as well as the government support variable, and concludes by producing a model that is highly successful in predicting financial customers’ online behaviour. Practical implications The results can help Colombia’s Government and private banks to further develop trust and other conditions necessary for e-banking. Social implications Studies on the adoption of electronic banking provide users of these services solutions for their needs. Government policies to support the development of e-banking are not viewed favourably by Colombians. Originality/value This study is one of the first to present empirical findings on the acceptance of e-banking in Latin America; it further presents a model that integrates the most important variables needed for an analysis of the acceptance of e-banking.

2008 ◽  
Vol 15 (1) ◽  
pp. 45-57 ◽  
Author(s):  
Jens Rowold ◽  
Sabine Hochholdinger ◽  
Jan Schilling

PurposeAlthough proposed from theory, the assumption that career‐related continuous learning (CRCL) has a positive impact on subsequent job performance has not been tested empirically. The present study aims to close this gap in the literature. A model is derived from theory that predicts a positive impact of CRCL, learning climate, and initial job performance on consequent job performance. In addition, CRCL is hypothesized to mediate the impact of learning climate on final job performance.Design/methodology/approachImplementing a longitudinal approach, this model was tested empirically in a call center context. Within the first year of their respective career, multiple source data were gathered from employees about their formal CRCL activities, their initial performance, as well as their perception about learning climate.FindingsResults indicated that CRCL predicted final job performance and mediated the impact of learning climate on final job performance. A total of 28 percent of final job performance was explained by the proposed model, highlighting the importance of CRCL for organizational contexts.Practical implicationsThe results of this study support the notion that CRCL programs are highly useful for both employees and organizations.Originality/valueFor the first time, the impact of CRCL on job performance is demonstrated empirically.


2019 ◽  
Vol 20 (4) ◽  
pp. 380-398
Author(s):  
Ramesh Kumar ◽  
Raiswa Saha ◽  
Sekar P.C. ◽  
Richa Dahiya

Purpose The purpose of this paper is to measure the influence of peers, and the Government and non-governmental organization (NGO) initiatives on an individual’s attitudinal drivers such as environmental knowledge and environmental concern, which are the reasons for their green purchasing intentions. This concept was applied among the Indian young consumers. Design/methodology/approach For the research, a structured online questionnaire was used to obtain responses from 342 Indians from various cities. The participants were 20-25 years of age. SPSS software package was used to refine the data while SmartPLS was used to test the validity of the hypotheses. Findings The findings revealed that the Government and NGO initiatives along with peer influence do have a significant effect on a consumer’s environmental knowledge and environmental concerns. Further, this study found a significant positive effect of environmental knowledge and environmental concern on perceived value. In turn, the perceived value had a direct positive impact on green attitude leading to green purchase intention. Practical implications This paper provides critical insights for marketers, as well as for governmental agencies and NGOs promoting the conservation of the environment through environmental-friendly practices. These parties aim to generate greater awareness among consumers and impart knowledge about the benefits of green practices. Originality/value The studies measuring the impact of external factors on green consumption are scarce. Even the few studies available have measured the direct impact of external factors on green purchase intention. Governmental and NGO initiatives along with peer influence are the stimuli impacting operational factors such as environmental knowledge, environmental concern, perceived value, and green attitude, which, in turn, lead to the response of green purchase intention. This study provides new insights to this relationship by using a stimulus – organism – response framework.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Herolinda Murati-Leka ◽  
Besnik Fetai

Purpose The purpose of this paper will be on finding and analyzing the impact of government on the information and communication technology (ICT) companies’ innovation performance. The study aims to conduct in-depth research about the government as an integrated actor of the innovation ecosystem (IE), not a sole member. This would be the core finding toward doing further research about the impact of the innovation ecosystem in the ICT sector in Kosovo. Design/methodology/approach Quantitative research has been considered the most suitable data collection method. Furthermore, in this study, it is used convenience sampling as a technique of the sampling process. The sample size of this study is 106 participants. The participants are owners or representatives of ICT companies in Kosovo. Since the study is conducted using the deductive approach, the questionnaire is considered to be the most suitable instrument for gathering data. Findings This paper provides empirical insights that the company’s size and the dedicated department for research and development have no impact on how the company takes advantage of public funding from the government. Furthermore, the authors of the paper found out that government has a positive impact on companies’ introduction of new products and services, while the impact of the government on a company’s financial performance was insignificant. Research limitations/implications The future research direction should be firstly on studying other IE actors and their impact on companies’ innovation performance and secondly on measuring the IE actors as a set of actors to have a broader picture on how IE impacts the companies’ innovation performance. Practical implications The scientific contribution of this study will be on mapping, analyzing and proposing government policies in accordance with the findings of this study that would lead to a more comprehensive and sustainable IE in Kosovo. Originality/value This study tries to fulfill an identified need to study the impact of interconnected actors of an innovation ecosystem and to show how they affect each other. In this study, it is taken for research one fragment of a set of actors.


2020 ◽  
Vol 22 (5/6) ◽  
pp. 437-453
Author(s):  
Kriti Priya Gupta ◽  
Harshit Maurya

Purpose This study aims to understand the role of access convenience of common service centres (CSCs) in determining the e-government continuance intention from the perspective of citizens who are dependent on these centres for using e-government services, in developing countries such as India. The study uses the DeLone and McLean’s information systems (IS) success model as a theoretical basis and analyses the effect of access convenience of CSCs (AC), on the three quality dimensions (namely, information quality [IQ], system quality [SyQ] and service quality [SQ]), and the e-government continuance intention. The effects of the three quality dimensions on continuance intention are also analysed. Design/methodology/approach The primary data were collected from the field surveys conducted at various CSCs in Uttar Pradesh state of India using convenience sampling technique. The study sample included 358 respondents who use e-government services through CSCs. Structural equation modelling was used to test the hypothesized relationships in the proposed model. Findings The findings of the study suggest that CSCs’ access convenience has a significant positive impact on the e-government continuance intention. The findings also confirm the significant positive impact on all the three quality dimensions of e-government i.e. IQ, SyQ and SQ. Though the findings do not provide support for the impact of IQ and SyQ on the e-government continuance intention but the impact of SQ on the e-government continuance intention is found to be significantly positive. Research limitations/implications The explanatory power of the model indicates the scope of including more variables in determining the continued usage of e-government. Future studies may extend the present study by including concepts such as trust, satisfaction and security/privacy concerns of citizens. The present study has failed to support the impact of IQ and SyQ on the intention to continue using e-government services. Future studies may test the model in different contexts with different respondents to further examine these relationships. Future studies may also see the association between the continuance intention and actual use of e-government services. Practical implications The government should provide accessible CSCs to the citizens which are conveniently available to them. To diffuse the e-government services successfully among all citizens, the government needs to see that sufficient numbers of CSCs are available in the areas where people lack the required infrastructure for using the e-government services. The government also needs to ensure that the CSCs are fully functional and equipped with facilities for providing the best quality services. Originality/value The study combines the quality constructs from the IS success model with AC, for predicting the e-government continuance intention. The joint use of these constructs has provided a model with high explanatory power, which is able to explain 76.6% variation in the continued usage of e-government services. The study also contributes to the existing literature by presenting AC as a strong determinant of the e-government quality dimensions.


2018 ◽  
Vol 34 (8) ◽  
pp. 30-32

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Strategic networks involving SMEs can make a significant contribution to the economic growth of a country. Government support is vital to network development and their overall effectiveness. However, the impact of support on different stages of the development process depends on the type of policy adopted by the government. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.


2019 ◽  
Vol 61 (5/6) ◽  
pp. 517-529
Author(s):  
Ashok Chakraborty

Purpose This study aims to examine the impact of statutory regulatory order by the government on the degree of corporate social responsibility (CSR) performance and disclosures. It also aims to empirically investigate the relationship of a firm’s key internal and governance factors with CSR performance and disclosures. Design/methodology/approach The study is based on empirical data from all banking firms listed in the Dhaka Stock Exchange (DSE) for a period of 2011-2015. The difference in difference analysis has been used to test the regulatory impact, where content analysis has been performed to find CSR disclosure scores. The multivariate regression analysis has been used to test hypotheses to find impact of firm’s internal factor on CSR disclosures. Findings The analysis and results of the study show that there is no significant impact of statutory regulatory impact on a firm’s level of CSR performance and disclosure. On the other hand, the study has found that board expertizes and board meetings have significant positive impact on firm’s CSR while no significant impact is found for firm networks to influence firm’s CSR disclosures. Research limitations/implications The main research limitation of the study is that it covers all listed firms of the banking industry in Bangladesh. Because of data inconsistency, other industries are not included in the data sample of this study. Originality/value The value of the study lies in its contribution to the empirical investigation of regulatory impact and key internal and governance factors in a developing country perspective, which will add value to the CSR literature.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Sreenivasulu N.S.

Purpose The purpose of this study is to investigate the impacts of regulations and governance of artificial intelligence (AI) on personal data sharing (PDS) in the context of sociolegal, technology and policy perspective. Design/methodology/approach With the help of theories and literature review, some hypotheses have been formulated and a conceptual model has been developed. These are statistically validated. The validated model has been compared again using impact of regulation and governance of AI as a moderator. The validation has been done using survey by PLS analysis. Findings The study found that there is a high level of positive impact of regulation and governance of AI on the online PDS by the users. Research limitations/implications This study has provided a statistical model which can provide the antecedents of PDS by the online users with the impact of AI regulation and governance as a moderator. The proposed model has explanative power of 92%. Practical implications The study highlighted that there is a necessity of having appropriate AI regulations so that users could share their personal data online without any hesitation. Policymakers and legal fraternity should work together to formulate a comprehensive AI regulation and governance framework. Originality/value To the best of the authors’ knowledge, there is no study on the impact of AI regulation and governance towards PDS and how it impacts on the security, privacy and trust of the online users.


2021 ◽  
pp. 0958305X2110153
Author(s):  
Chao Li ◽  
Xiangyou Li ◽  
Deyong Song ◽  
Meng Tian

Based on the panel data of 277 cities between 2003 and 2017 and a unique city-level dataset of green patent applications, this study employs the difference-in-differences (DID) method to evaluate the effect of China’s carbon emission trading scheme (ETS) pilots on urban green innovation. The findings indicate that China’s ETS pilots have a positive impact on urban green innovation, and that impact is more significant for municipalities than for prefecture-level cities. Furthermore, the impact on different categories of urban green innovation is heterogeneous. More specifically, China’s ETS pilots have significantly spurred urban green innovation that is closely related to energy conservation and emission reduction, including alternative energy production, transportation, energy conservation and so forth. Moreover, the facilitating effect of China’s ETS pilots on urban green innovation suffers from a lagging effect, which began to show a significant positive effect in 2016. Overall, this paper identifies the effect of China’s ETS pilots on urban green innovation, and suggests that the government should consider the heterogeneity of urban green innovation when designing national ETS policies.


2021 ◽  
Vol 10 (s1) ◽  
Author(s):  
Said Gounane ◽  
Yassir Barkouch ◽  
Abdelghafour Atlas ◽  
Mostafa Bendahmane ◽  
Fahd Karami ◽  
...  

Abstract Recently, various mathematical models have been proposed to model COVID-19 outbreak. These models are an effective tool to study the mechanisms of coronavirus spreading and to predict the future course of COVID-19 disease. They are also used to evaluate strategies to control this pandemic. Generally, SIR compartmental models are appropriate for understanding and predicting the dynamics of infectious diseases like COVID-19. The classical SIR model is initially introduced by Kermack and McKendrick (cf. (Anderson, R. M. 1991. “Discussion: the Kermack–McKendrick Epidemic Threshold Theorem.” Bulletin of Mathematical Biology 53 (1): 3–32; Kermack, W. O., and A. G. McKendrick. 1927. “A Contribution to the Mathematical Theory of Epidemics.” Proceedings of the Royal Society 115 (772): 700–21)) to describe the evolution of the susceptible, infected and recovered compartment. Focused on the impact of public policies designed to contain this pandemic, we develop a new nonlinear SIR epidemic problem modeling the spreading of coronavirus under the effect of a social distancing induced by the government measures to stop coronavirus spreading. To find the parameters adopted for each country (for e.g. Germany, Spain, Italy, France, Algeria and Morocco) we fit the proposed model with respect to the actual real data. We also evaluate the government measures in each country with respect to the evolution of the pandemic. Our numerical simulations can be used to provide an effective tool for predicting the spread of the disease.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
David Laborde ◽  
Abdullah Mamun ◽  
Will Martin ◽  
Valeria Piñeiro ◽  
Rob Vos

AbstractAgricultural production is strongly affected by and a major contributor to climate change. Agriculture and land-use change account for a quarter of total global emissions of greenhouse gases (GHG). Agriculture receives around US$600 billion per year worldwide in government support. No rigorous quantification of the impact of this support on GHG emissions has been available. This article helps fill the void. Here, we find that, while over the years the government support has incentivized the development of high-emission farming systems, at present, the support only has a small impact in terms of inducing additional global GHG emissions from agricultural production; partly because support is not systematically biased towards high-emission products, and partly because support generated by trade protection reduces demand for some high-emission products by raising their consumer prices. Substantially reducing GHG emissions from agriculture while safeguarding food security requires a more comprehensive revamping of existing support to agriculture and food consumption.


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