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The purpose of this paper is to compare the effects of equity financing and debt financing on technological innovation, and prove that the enhancement of a financing system’s risk tolerance for technological innovation can enhance the innovation risk preference of enterprises and thus promote innovation.

This study is based on a transnational sample of 35 developed countries from 1996 to 2015, by using the panel econometric model to empirically examine the effects of two financing modes on innovation.

The findings showed that equity financing, which has higher risk tolerance, has a more positive impact on innovation than debt financing in terms of both economic uptrend and economic downtrend, and that government efficiency plays a significant role in supporting the performance of technological innovation.

The paper provides a research framework for examining how a financing system’s risk tolerance capacity affects the development of technological innovation through promoting risk preference among enterprises. This paper provides transnational and cross-cycle comparative evidence that equity financing with a strong risk tolerance capacity can better support technological innovation, even in periods of economic downtrend. Moreover, the importance of financing system’s risk tolerance capacity for innovation during economic crises is discussed.

This article empirically tests the impact of risk appetite of the executive team on the re-innovation strategy after technological innovation failure using a panel regression model from the perspective of regional financial development level of enterprises.

By means of time series global principal component analysis and panel regression model method, the study validated and analyzed the impact of risk appetite of the executive team on the re-innovation strategy after enterprise technological innovation failure.

The research found that the higher the risk appetite of executive team, the more inclined the enterprise is to choose the “focusing on quantity, ignoring quality” re-innovation strategy after technological innovation failure. The better the financial development level of the region where the enterprise is located, the better it can effectively reduce the re-innovation strategy of “focusing on quantity, ignoring quality” of the enterprise due to the high risk appetite of the executive team.

The findings of this study are helpful in improving the financial development level of the region where the enterprise is located. It can help the executive team of the enterprise to more objectively choose the innovation strategy after technological innovation failure, and reduce the phenomenon that the executive team of the enterprise only pays attention to the quantity of re-innovation and underestimates the quality of re-innovation after technological innovation failure due to its high risk appetite.

The purpose of this conceptual paper is to name and categorize risks related to emerging technological innovations and to propose a number of countermeasures. The emphasis is placed on knowledge risks that are grouped under human, organizational and technological spheres and are presented from a small business perspective.

The presented paper takes into account the prior literature and the authors’ thoughts and experiences to identify potential knowledge risks and countermeasures.

Having a better overview of possible knowledge risks that may emerge in conjunction with the adoption and application of emerging technological innovations can help small businesses to better assess these new developments and their possible upsides and downsides. The proposed risks and countermeasures can also help policymakers as well as other organizations working for or together with smaller businesses to help them maintain and even increase their competitiveness.

Different implications are suggested for not only managers and employees in small businesses but also other stakeholders working for or with small businesses.

To the best of the authors’ knowledge, this paper is the first one that focuses on how small businesses can improve their decision-making regarding the adoption of new emerging technological innovation from a knowledge risk perspective.

The purpose of this study is to investigate the influence that technological, environmental and organizational factors have on the rate of Internet of Things (IoT) adoption within the logistics industry. In addition, the moderating effect that the risk factor has on the technological, environmental and organizational factors regarding the implementation of IoT in logistics.

For the purpose of testing the models and hypotheses, a survey was carried out in order to collect the responses from currently employed individuals at various companies working in the field of logistics or IoT. For the purpose of analysis, the authors made use of the partial least squares structure equation model (PLS-SEM) technique.

Findings of this study concluded that technology- and environmental-related factors significantly affect the adoption of IoT in logistics, while risk acts as a moderator for the technological-related factor only in the adoption of IoT in logistics.

The relevance of the authors' study lies in the growing importance of IoT in logistics and the need for logistics companies to understand the factors that impact the adoption of IoT in their operations. By identifying and analyzing the factors that influence IoT adoption in logistics, the authors' study provides valuable insights that can help logistics companies make informed decisions about whether and how to adopt IoT.

The research will help organizations make strategies for the successful adoption of IoT and ease the lives of all the stakeholders.

In this research, the authors attempted to find the factors that influence the adoption of IoT in logistics management. The influence of the technological, environmental, organizational and risk-related factors on the adoption of IoT in logistics management was studied. The moderating effect of risk over these factors on the adoption of IoT in logistics was also analyzed. This is original work and has never been done earlier.

Technological innovation is one of the strongest driving forces in the survival and growth of any organization, including textile and apparel industries. However, technological innovation inherits a wide array of risks due to the uncertainty involved in it. In-depth research reveals the existence of a significant relationship between innovation failures and the approach used to innovate, that is, the organization’s innovator type. However, quantitative evidence supporting this concern is still lacking. Hence, the purpose of this paper is to bridge the existing gap in the literature on effective management of technological innovation risk factors and the innovator type of textile and apparel industries.

The risk factors related to technological innovations are identified under different innovator types. Analytic network process (ANP) has been used to evaluate the contribution of risk factors according to the innovator type of the organization. Data was gathered through the literature review and structured and semi structured interviews with textile and apparel industry experts. The contribution of risk factors was determined through priorities, derived according to the ANP using Super Decision software.

Contribution of risk factors takes different values according to innovator type. This provides comprehensive knowledge on developing a risk management strategy according to the innovator type of the organization. Furthermore, this provides insight into the fact that a generalized risk management strategy will not be effective and sensible for all innovator types.

The findings provide a thorough understanding of developing a customized risk management strategy by determining the “most to least” criticality of risks based on the innovator type of the organization. Furthermore, findings can be used to adopt the most appropriate innovator type based on the organization’s key competencies. Moreover, this guides the organization in making the best use of internal resources during risk management. Furthermore, this provides insight into the risk factors that must be addressed prior to embarking on new innovative approaches.

The topic of the risk associated with innovation is being investigated through the influence of technological risk on technology adoption.

The paper analyses the dynamics of technology adoption in high technology products thanks to several regressions. The paper uses data gathered from a major European space integrator.

The paper shows that a firm may implement a reliability-based inertia strategy under a specific context. This type of inertia strategy is rational and leads a firm to limit the adoption of new technologies and favours the reuse of proven technologies. This strategy is relevant to facing a risk of decrease in technical reliability.

While the space industry displays some similarities with other capital good industries, it remains specific compared to mass production industries. The current paper should be considered as a preliminary research that aims at structuring the notion of inertia strategy.

In order to increase the commercial demand, the paper proposes that satellite manufactures adopt more intensive reliability-based inertia strategy and institutional demand asks for less experimental satellites.

This paper contributes to show that delays in technology adoption should not systematically be regarded as a weakness. Implementing a strategy that aims at slowing down technology adoption may sometimes improve firm survival. The paper also intends to provide a new insight to the paradoxical nature of change.

Due to advances in both software and hardware, obsolescence risk refers to the fear that a product will soon become obsolete, which can be very high for technological products such as smartwatches or smartphones. Drawing on the perceived risk theory and innovation resistance, this study examines the effects of different obsolescence risks on consumer resistance to smartwatches.

A sequential explanatory approach using a mixed method was adopted in this study. In Study 1, we conducted semi-structured and in-depth face-to-face interviews with 16 individuals to identify the most important obsolescence risks affecting consumers’ resistance to smartwatches. This qualitative study develops a novel theoretical model based on interpretive results, including technological, economic, functional, and aesthetic obsolescence risks. In Study 2, we tested our theoretical model by applying partial least-squares structural equation modeling to a sample of 298 smartwatch users.

The results show that consumer resistance to smartwatches is affected by technological, economic, functional, and aesthetic obsolescence risks.

Although most extant studies have focused on the factors influencing the adoption and use of consumer electronics, little is known about the role of obsolescence risk in consumers’ resistance to these products.

This paper aims to contribute to the risk management studies in small and medium enterprises (SMEs) by examining the complicated relationship between risk-taking behavior and firm performance.

The study conducted a survey of the Indonesian SME owner-managers and used partial least square structural equation modeling to examine the mediating effect of pricing capability and moderating effects of information technological turbulence.

The results do not only confirm the positive impact of risk-taking behavior on firm performance but also identify that impact of risk-taking behavior on firm performance is more effective at the low information technological turbulence than at the high one.

This study relied on information from the owner-managers in SMEs, which may bias against the perspective of their employees and the business partners.

This study advances the risk-taking behavior research in SMEs context by introducing the effect of pricing capability and information technological turbulence.

Technological innovation has become a significant part of textile and apparel industries. To become distinguished from competitors, it is essential to harness the potentials of the organizations in achieving higher speeds, faster delivery times, more precise research and development processes followed by modern manufacturing techniques, lower inventory and lower costs. This paper aims to present the risk factors, root causes and their impact related to technological innovation. This uncovers deeper problems inherent to the technological innovation process while providing insight to develop a more robust risk management strategy in marking the survival and growth of the organizations in the textile and apparel trade.

Literature review and structured interviews with industry experts were conducted to identify the risk factors and root causes associated with technological innovations related to textile and apparel industries. The impact of root causes to the risk factors was determined through priorities, derived according to analytic network process using Super Decision software.

Impact of the root causes on risk factors take different priorities, highlighting the most alarming root causes, which contribute more to the outcome. This provides insight for a more precise decision-making on the order of prioritization of root causes in managing risks involved.

Findings of this research provide insight on the most influential competencies of any textile and apparel organization for a thriving innovation. Profound knowledge on risk factors, root causes and their contribution to the outcome enhances complex decision-making. This ultimately leads to “credible performances’’ of the technological innovation and optimizing the resources available, which bridges the gap that exists in the current literature.

The purpose of this study is to examine diverse risks and barriers that influence customers' attitude leading to their actual use of wearable devices in India. This study used technological literacy as a moderating variable to understand the relationship between barriers and attitudes toward adoption of wearable device.

A survey questionnaire was developed through focused group discussions with field experts. Data were collected through online as well as offline modes. A Google form was created and its weblink was shared with the respondents using wearable devices. Both online as well as offline modes were used for data collection. Several reminders through telephone and revisits were undertaken to approach the respondents.

The results of this study indicated that psychological risk and financial risk emerged strongest barriers of wearable technologies. This was followed by infrastructure barriers and performance risk. The strength of the relationship between technological anxiety and attitudes was lower but still significant. Surprisingly, privacy risk and social risk were not statistically significant. This study also validated the impact of technological literacy as a moderator between risks and attitudes.

This study contributes to the research by validating numerous risks and barriers in the adoption of wearable devices. This study not only offers a novel perspective on researching diverse barriers but also elucidates the moderating role of technological literacy which has not been covered in extant literature.