Search results

The main purpose of this paper is to explore whether the nature of innovation is accumulative or radical and to what extent past year accumulation of technology stock can predict future innovation. More importantly, the authors are concerned with whether a change of policy regime or a variance in the quality of technology will moderate the nature of innovation.

The authors examined a dataset of 3.6 million Chinese patents during 1985–2015 and constructed more than 5 million citation pairs across 8 sections and 128 classes to track knowledge spillover across technology fields. The authors used this citation dataset to calculate the technology innovation network. The authors constructed a measure of upstream invention, interacting the pre-existing technology innovation network with historical patent growth in each technology field, and estimated measure's impact on future innovation since 2005. The authors also constructed three sets of metrics – technology dependence, centrality and scientific value – to identify innovation quality and a policy dummy to consider the impact of policy on innovation.

Innovation growth is built upon past year accumulation and technology spillover. Innovation grows faster for technologies that are more central and grows more slowly for more valuable technologies. A pro-innovation and pro-intellectual property right (IPR) policy plays a positive and significant role in driving technical progress. The authors also found that for technologies that have faster access to new information or larger power to control knowledge flow, the upstream and downstream innovation linkage is stronger. However, this linkage is weaker for technologies that are more novel or general. On most occasions, the nature of innovation was less responsive to policy shock.

This paper contributes to the debate on the nature of innovation by determining whether upstream innovation has strong predictive power on future innovation. The authors develop the assumption used in the technology spillover literature by considering a time-variant, directional and asymmetric matrix to model technology diffusion. For the first time, the authors answer how the nature of innovation will vary depending on the technology network configurations and policy environment. In addition to contributing to the academic debate, the authors' study has important implications for economic growth and industrial or innovation management policies.

The aim of this study is to provide a detailed picture of the digitalization propensity and human IT agility of Italian SMEs, verifying whether companies are pursuing coherent and reliable choices for these dimensions and whether digitalization choices affect human IT agility.

Using a POSET approach, this study constructs two nonaggregative multidimensional indicators of human information technology (IT) agility and firms' digitalization. The analysis is based on the microdata provided by ISTAT relating to 4,682 Italian manufacturing companies.

The results show the existence of a strong relationship between digitalization propensity and human IT agility. However, the analysis shows that companies are characterized by a low level of digitalization propensity and human IT agility. At the same time, the findings highlighted that the managerial choices adopted by companies appear to be inconsistent with respect to the two multidimensional indicators.

This study has important implications for managers and policymakers by suggesting acting specific policies to promote a better implementation of digitalization that considers the key role of human IT agility.

This study contributes to the existing literature on organizational agility and digitalization by providing a detailed picture of the Italian manufactured SMEs. At the same time, the POSET approach allows to aggregate a lot of information in one or more indicators without neglecting the value of each dimension faced with the extreme heterogeneity of companies' profiles.

The new ways to complete financial transactions have been developed by setting up mobile payment (m-payment) platforms and such platforms to access banking in the financial mainstream can transact as never before. But, does m-payment have veiled consequences? To seek an answer, the research was undertaken to explore the dark sides of m-payment for consumers by extending the theory of innovation resistance (IR) and by measuring non-adoption intention (NAI).

Three hundred individuals using popular online m-payment apps such as Paytm, PhonePe, Amazon Pay and Google Pay were surveyed for the primary data. IBM AMOS based structural equation modelling (SEM) was used to analyse the data.

Each m-payment transaction leaves a digital record, making some vulnerable consumers concerned about privacy threats. Lack of global standards prevents consumers from participating in the m-payment system properly until common interfaces are established based on up-to-date standards. Self-compassion (SC) characteristics such as anxiety, efficacy, fatigue, wait-and-see tendencies and the excessive choice of technology effect contribute to the non-adoption of m-payment.

This study proposes a threat model and empirically explores the dark sides of m-payment. In addition, it also unveils the moderator's role of SC in building the structural relationship between IR and NAI.

This study aims to perform a systematic literature review to organize the abundance of information on employee relations (ER) and sustainable organizations. Moreover, this study identifies the research gaps by investigating the review of ER’ mediating and moderating variables and the relationship between ER and sustainable organizations.

This study is based on the systematic literature review methodology involving 257 studies in the final stage. The Scopus and Google Scholar databases with search criteria “employee relations” and “employee relations and sustainable organization” were used to achieve the research objective. After applying inclusion and exclusion criteria, researchers come to the distribution of the articles based on the subthemes, geographical region, types of methods, top authors with affiliation and complete research articles based on the citation. In the final stage, this study concluded with the conceptual model comprising mediators and moderators of ER as well as the mediating and moderating variables of the relationship between ER and sustainable organizations.

The reviewed literature shows that employee relation is an optimal strategy for retaining employees via proper disclosure of human resources (HRs) and ER Index. This study included the top six publishers, namely, Emerald, Elsevier, Sage, Springer, Taylor and Francis and Wiley Online Library, to do an exhaustive review on a specific topic. The findings indicate that after COVID-19, the ER index, HR disclosures and the sustainability of ER are among the new and required paradigm shifts needed to manage a crisis impact and perform productively. The mediator and moderator variables that can improve employee–employer relationships are organizational trusts, organizational justice, perceived job satisfaction, organizational structure and firm ownership. On the other hand, variables that mediate and moderate the relationship between ER and sustainable organizations are organizational climate, organization trust, organization culture, perceived organization support, psychological empowerment, firm ownership, leadership behavior and attitude, respectively. The findings concluded that harmonious and cordial ER are pertinent in building sustainable organizations and accomplishing organizational goals.

The mediating and moderating variables that have been identified can be helpful for enthusiastic researchers in contributing to empirical research. Practitioners and managers can use the findings in making an effective organizational model that develops good employee–employer relationships and helps create a culture of trust and harmony. This study focuses on exploring the variables of ER, which strengthens employee–employer relationships and supports organizations to stay agile and attain sustainability to endure in the future.

This study insights on the specific mediating and moderating variables of ER and sustainable organizations. Till date, studies exploring constructs of ER and sustainable organizations are still in deficit. Better employee relation reflects and leads to a more resilient organization. Future researchers should explore the connection between pandemics and ER which is done insufficiently in the present time.

The purpose of this study was to address calls for and test efficacy of an app based, short term resilience intervention for individual benefit.

Three independent samples of participants were assessed to determine the efficacy of an employee focused resilience intervention. Study 1 includes a cross sectional validation of the approach. Study 2 examines validity of the intervention using pre- and post-tests. Study 3 utilizes random assignment of groups (treatment and control) to determine invention results on resilience and individual psychological well-being.

Evidence suggests employees in the experimental group reported higher levels of resilience and psychological well-being as a result of the intervention. Further, the authors found no significant changes in resilience or psychological well-being amongst employees in the control group suggesting the intervention induced the effect.

Previous research attempting resilience interventions have been long, cumbersome and expensive for organizations. Basing the authors’ method on previous research regarded as micro interventions, this intervention is individualized, flexible and very cost effective for organizational application.

The increasing frequency and intensity of the extreme weather events could cause devastating consequences in tourism. Climate change–related extreme weather events and their relation to tourism is an emerging field for education and research. The purpose of this study is to categorize the impact of climate change on tourist destinations with regard to extreme weather-related risks in outdoor recreation and tourism. Managerial implications for policymakers and stakeholders are discussed.

To outline the risks from climate change associated with tourism, this study uses the Prisma analysis for identification, screening, checking for eligibility and finding relevant literature for further categorization.

Based on a thoroughly examination of relevant literature, risks and threats posed by climate change could be categorized into following four areas: reduced experiential value in outdoor winter recreation; reduced value in beach scenery and comfort; land degradation and reduced biodiversity; and reduced value in personal safety and comfort in tourism. It also focuses on the significance of using big data applications in catastrophic disaster management and risk reduction. Recommendations with technology and data analytics to continuously improve the disaster management process in tourism education are provided based on findings of this study.

Primary contributions of this study include the following: providing a summarized overview of the risks associated with climate change in terms of tourist experiential value for educational implications; and revealing the role of data analytics in disaster management in the context of tourism and climate change for tourism education.