Search results

The COVID-19 lockdown has forced many organizations and employees to work from home. In such uncertain and unprecedented context, it is crucial for organizations to stimulate their employees’ creativity to adapt to new working environment and thus to sustain and improve organizational performance. This paper aims to examine how to stimulate employees’ creativity by focusing on their online knowledge sharing (OKS) behaviors, their use of online platforms and their organizations’ innovation climate in a working from home (WFH) context because of the lockdown. For empirical analysis, this research uses data from Vietnam – a developing country in the Southeast Asia.

Data are collected from employees working in Ho Chi Minh City but WFH during the COVID-19 lockdown. Structural equation models are used for analyzing the data.

Online platform use and organizational innovation climate are positively associated with creativity directly and indirectly via the mediating roles of internal and external OKS.

This research provides policymakers, organizational leaders and managers with an important evidence on how to stimulate creativity by emphasizing the roles of knowledge sharing, online platforms and innovation climate. Accordingly, relevant practical implications are also drawn to sustain or improve organizational performance in the context of WFH context because of COVID-19 lockdown. This research also contributes to knowledge management literature by providing an evidence on the relationships between online platform use, organizational innovation climate, OKS and creativity.

This research is among the early attempts that explore the associations between employees’ use of online platforms, their organizations’ innovation climate, their internal and external OKS behaviors and their creativity in the context of WFH because of a lockdown.

This study aims to adopt implicit theory (IPT) to develop a creative mindset model and drive entrepreneurial success through innovation capability (IC).

Expert interviews were conducted using a questionnaire protocol. This study investigated the effect of the creative mindset on entrepreneurial success through IC, using a partial least squares analytical technique and by interviewing 176 Thai business owners.

The creative mindset drove entrepreneurial success through IC. Entrepreneurs possessing a growth mindset reflected and drove success directly or through IC. Although, those with a strong, fixed mindset did not significantly affect entrepreneurial success, they could drive success through IC.

This study provides further insight into the probable causation of how the creative mindset and IC affect tourism entrepreneurs’ success. Accordingly, this study contributes a framework to help entrepreneurs’ creativity and performance in achieving their business goals.

Drawing from IPT, this study empirically tests and substantiates the mediating role of IC in the relationship between the creative mindset and entrepreneurial success in the tourism industry. This study can help entrepreneurs increase their managerial effectiveness.

The authors investigate the impacts of international capital inflows on bank lending in the Association of Southeast Asian Nations-6 (ASEAN-6) countries on the dynamics of both bank loan volumes and credit risk-taking. The authors further explore the heterogenous impacts of different components of the foreign capital. As a robustness check, the authors also examine the role of crisis periods and agency problem on the relationship between international capital inflows and bank lending.

The authors explore the impacts of international capital inflows on bank lending in the ASEAN-6 countries, including Malaysia, Indonesia, Thailand, Philippines, Singapore and Vietnam. The authors employ quarterly data from 2005Q1 to 2021Q2 from 45 commercial banks in the ASEAN-6 countries. The article uses bank-fixed and time-fixed effects in the panel dataset to account for any unobserved heterogeneity.

The authors find that capital inflows to the ASEAN-6 countries are associated with higher bank loan growth and lower loan loss provisions to net interest income ratios. Moreover, the positive relationships between capital inflows to the bank loan growth and credit risk-taking are mainly driven by the dynamics in foreign direct investments (FDIs) and other inflow (OI) components. Contrary to the global financial crisis (GFC), the authors note that the mediating role of capital inflows on bank lending is of particular importance in the COVID-19 pandemic.

This study has some limitations that provide vendors for future research. First, while the authors focus on the impact of capital inflows on bank-level lending activities, future research can also explore the role of foreign capital on bank efficiency and financial stability. Second, although foreign capital fluctuates the most during crisis periods, the movement of capital inflows is also sensitive to other periods of heightened global uncertainty. Thus, rather than focus on the behavior of foreign capital during crisis periods, future research can examine and explore the impacts of capital inflows in different periods of “stop” and “surge” for sudden contraction and boom in capital inflows to the ASEAN-6 countries.

First, the authors provide a comprehensive analysis of international capital inflows' impact on bank lending in the ASEAN region on both bank loan volumes and credit risk-taking. Second, the authors provide evidence of the impact of different forms of foreign capital on the bank lending. Third, the authors investigate the heterogeneous impact of foreign capital on crisis periods and bank sizes, which the authors emphasize the unusual characteristics of the COVID-19 crisis compared with the GFC.

The study compares the corporate social responsibility (CSR) actions of two sectors of hospitality, tourism and travel (hotels and airlines) by researching what Six Sense hotels (a hotel brand) and Air Canada (an airline company) have been doing in order to respond to the 17 Sustainable Development Goals (SDGs) and how they apply the concept of CSR in their operational activities. The article also considers how these activities align with quality-of-life (QoL) dimensions and contemporary CSR dimensions.

Provides a detailed comparative, case study analysis of the reported CSR practices of companies in different sectors of the hospitality and tourism industry based on competitive strategy; environmental protection; internationalization of CSR; and transparency and accountability. The impact of the varied initiatives on quality of work life (QWL) and QoL is also considered together with implications for the circular economy (CE).

Analysis of the two case study examples suggests that these companies' activities are designed to promote sustainability. The findings also suggest that there is a positive relationship between CSR activities and QoL that the case study companies are aware of this and are doing all they can to sustain this relationship given the benefits it yields.

Uses case study analysis of Six Senses Hotels Resorts & Spas and Air Canada to conduct a comparative analysis of the reported CSR practices of companies in different tourism sectors based on competitive strategy; environmental protection; internationalization of CSR; and transparency and accountability.

Data crawling in e-commerce for market research often come with the risk of poor authenticity due to modification attacks. The purpose of this paper is to propose a novel data authentication model for such systems.

The data modification problem requires careful examinations in which the data are re-collected to verify their reliability by overlapping the two datasets. This approach is to use different anomaly detection techniques to determine which data are potential for frauds and to be re-collected. The paper also proposes a data selection model using their weights of importance in addition to anomaly detection. The target is to significantly reduce the amount of data in need of verification, but still guarantee that they achieve their high authenticity. Empirical experiments are conducted with real-world datasets to evaluate the efficiency of the proposed scheme.

The authors examine several techniques for detecting anomalies in the data of users and products, which give the accuracy of 80 per cent approximately. The integration with the weight selection model is also proved to be able to detect more than 80 per cent of the existing fraudulent ones while being careful not to accidentally include ones which are not, especially when the proportion of frauds is high.

With the rapid development of e-commerce fields, fraud detection on their data, as well as in Web crawling systems is new and necessary for research. This paper contributes a novel approach in crawling systems data authentication problem which has not been studied much.

This study demonstrates that aggregated data from the Repository Analytics and Metrics Portal (RAMP) have significant potential to analyze visibility and use of institutional repositories (IR) as well as potential factors affecting their use, including repository size, platform, content, device and global location. The RAMP dataset is unique and public.

The webometrics methodology was followed to aggregate and analyze use and performance data from 35 institutional repositories in seven countries that were registered with the RAMP for a five-month period in 2019. The RAMP aggregates Google Search Console (GSC) data to show IR items that surfaced in search results from all Google properties.

The analyses demonstrate large performance variances across IR as well as low overall use. The findings also show that device use affects search behavior, that different content types such as electronic thesis and dissertation (ETD) may affect use and that searches originating in the Global South show much higher use of mobile devices than in the Global North.

The RAMP relies on GSC as its sole data source, resulting in somewhat conservative overall numbers. However, the data are also expected to be as robot free as can be hoped.

This may be the first analysis of aggregate use and performance data derived from a global set of IR, using an openly published dataset. RAMP data offer significant research potential with regard to quantifying and characterizing variances in the discoverability and use of IR content.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2020-0328

With the advent of new technologies, the integration of blockchain-enabled food supply chain (FSC) implementations is on the rise. Considering the multilateral, comprehensive and complex nature of the whole blockchain-enabled FSC implementation process, understanding knowledge management (KM) practices will add value. Prior literature shows that only a few studies have focused on this topic. As such, this study aims to identify and establish key KM enablers for blockchain-enabled FSC implementations.

This study conducted a qualitative research approach. By conducting 22 in-depth interviews with experienced blockchain implementation experts in FSC contexts, this study provides interesting insights for academics and practitioners.

The results of the analysis highlighted eight critical KM enablers that directly influence blockchain-enabled FSC implementations. They include external enablers (i.e. regulation and market competition) as well as internal enablers (i.e. people – organizational learning, strategy and leadership, culture, information technology, organizational infrastructure, processes and activities).

This study is one of the few studies that identify KM enablers for blockchain-enabled FSC implementations. Considering the novelty of decentralized blockchain implementations in FSC and its importance in transforming silo-based knowledge exchange to a decentralized operational structure, this study attempts to identify factors that increase the efficiency of blockchain implementations in FSC contexts.

The main purpose of this paper is to examine the existence of interdependence amongst banking earnings, banking security and growth performance across the Association of Southeast Asian Nations (ASEAN) region.

This paper utilizes a panel autoregressive distributed lag method with the annual data of nine ASEAN members over 1996–2017.

Only the short-run Granger causal impact of banking profitability on economic expansion is supported, while the long-run Granger causality between all the variables is strongly recognized. Increased banking well-being supports economic development, while higher banking security might have inverse impacts. However, increasing the banking profit without the corresponding better soundness can be detrimental to the economic growth in the short run and much more in the long run. Thus, improving banking profitability and stability simultaneously has positive net effects on the economic development.

This research is restricted to unavailable data and limited measurements of both banking profitability and stability. Further inclusion of other macro-economic variables, other banking development aspects or even non-banking indicators should also be considered.

National governments should emphasize a convenient financial environment, which can strongly enhance the positive relationship between banking earnings, banking safeness and output growth. Also, the relevant policies on higher banking well-being and stricter security obligations have to be simultaneously maintained.

Few papers have inspected the interrelationship between banking stability, banking profitability and economic growth, particularly in the ASEAN region. This causes the banking literature shortage, as well as insufficient insights for the financial policymakers into their endogenous dynamics. Thus, the study is the first attempt to fulfil the research gap.

Mental illness presents a huge individual, societal and economic challenges, currently accounting for 20% of the worldwide burden of disease. There is a gap between the need for and access to services. Digital technology has been proven effective in e-mental health for preventing and treating mental health problems. However, there is a need for cross-disciplinary efforts to increase the impact of e-mental health services. This paper aims to report key challenges and possible solutions for cross-disciplinary and cross-sectorial research teams within the domain of e-mental health.

The key challenges and possible solutions will be discussed in light of the literature on effective cross-disciplinary research teams.

Six topics have been key challenges in our cross-disciplinary and cross-sectorial research team: to develop a shared understanding of the domain; to establish a common understanding of key concepts among the project participants; to involve the end-users in the research and development process; to collaborate across sectors; to ensure privacy and security of health data; and to obtain the right timing of activities according to project dependencies.

This study focuses to increase knowledge and training in cross-disciplinary and cross-sectorial research, as this is often referred to as an important tool when developing sustainable solutions for major societal challenges.

This study needs to include theory and skills training in cross-disciplinary research in research training.

Cross-disciplinary teams have the potential to address major societal challenges, including more perspectives and more stakeholders than single disciplinary research teams.

Major societal challenges require complex and sustainable solutions. However, there is a lack of knowledge about how cross-disciplinary and cross-sectorial research teams may work productively to solve these challenges. This paper shares experiences regarding the challenges and possible solutions for productive collaboration in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health services.

This study aims to study the moderating effects of private ownership and government support on the relationship between outsourcing and product innovation in entrepreneurial ventures in a transition economy.

The data of 10,296 Vietnamese entrepreneurial ventures from the four rounds of the survey conducted by the General Statistics Office (GSO) of Vietnam to investigate the moderating effects of private ownership and government support on the association between outsourcing and entrepreneurial ventures’ product innovation performance. The Probit regression model is employed to estimate such associations.

Our research uncovered that the impact of outsourcing on the likelihood of product innovation is more significant for entrepreneurial operations characterized by a substantial degree of private ownership and government backing as opposed to those without.

The results of our research indicated that the resource-based perspective and extended resource-based view (ERBV) are essential in examining the impact of gaining resources or skills from external sources on the growth of entrepreneurial enterprises. These ideas have significance and importance not just in industrialized economies but also in countries undergoing transition. Our findings suggest that entrepreneurial enterprises should have the ability to manage a wide range of resources and make decisions about which activities should be handled internally and which should be delegated to other parties.

Our findings also imply that entrepreneurial ventures should be able to control many resources and choose which tasks should be performed in-house and which should be outsourced to third parties.

By adopting and leveraging the resource-based view (RBV) and extended resource-based views (ERBV), our study developed a theoretical model about private ownership and government support for moderate outsourcing’s impact on entrepreneurial innovation in a transition economy.