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This study aims to advance a behavioural approach towards understanding how managerial perception impacts the enactment of responses to risk management during the implementation of digital technologies in industrial operations and supply chains. The purpose is to investigate the influence of (digital) technology and task uncertainty on the risk perception of managers and how this impacts risk responses adopted by managers.

Following an exploratory theory elaboration approach, the authors collected more than 80 h of interview material from 53 expert interviews. These interviews were conducted with representatives of 46 German companies that have adopted digital technologies for different industrial applications within manufacturing, assembly and logistics processes.

The findings provide nuanced insights on how individual and combined sources of uncertainty (technology and task uncertainty) impact the perception of decision makers and the resulting managerial responses adopted. The authors uncover the important role played by the interaction between digital technology and human being in the context of industrial operations. The exploratory study shows that the joint collaboration between humans and technologies has negative implications for managerial risk responses regardless of positive or negative perception, and therefore, requires significant attention in future studies.

The empirical base for this study is limited to German companies (mainly small and medium size). Moreover, German culture can be characterised by a high uncertainty avoidance and this may also limit the generalizability of the findings.

Managers should critically revise their perception of different types of digital technologies and be aware of the impact of human-machine interaction. Thereby, they should investigate more systematic approaches of risk identification and assessment.

This paper focuses on the managerial risk responses in the context of digitalisation projects with practical insights of 53 expert interviews.

The purpose of this study is to investigate the antecedents and the conditions of coopetition at the inter-organizational level.

This study is based on survey research methodology and analyzes the data from 138 companies regarding the antecedents and the conditions of their coopetition.

The results indicate that the interdependence between partners (i.e. the antecedent) positively affects interfirm coopetition, and that this relationship is contingent on the joint occurrence of opportunism (a behavioral condition) and technology uncertainty (a contextual condition). Specifically, highly interdependent firms are more likely to be involved in a coopetitive relationship when both opportunism and technology uncertainty are high. Interestingly, the authors’ data also show that opportunism or technology uncertainty alone may not be adequate in moderating the interdependence–coopetition relationship.

This study contributes to the current literature in two meaningful ways. First, it empirically examines interdependence as a potential antecedent of interfirm coopetition. Second, it improves our understanding of the behavioral and contextual conditions that facilitate the formation of coopetitive relationships by examining the moderating roles of opportunisms and technology uncertainty in the relationship between interdependence and interfirm coopetition. The limitations of this study lie in its confined method of cross-sectional survey from the focal firm’s perspective. Future research may advance beyond this study through experimental and/or longitudinal research designs.

This study provides managers with two important practical insights in coopetition management. First, the findings suggest a two-step approach to help a firm assess and manage the level of coopetition in its relationship with a business partner. In addition, the findings provide a counterintuitive suggestion to managers that the joint conditions of high opportunism and high technology uncertainty indeed prime the relationship for the rise of coopetition, provided that managerial efforts are made to somewhat increase the level of interdependence in the relationship.

Despite the growing number of studies on coopetition, research still lacks knowledge about the antecedents and the conditions of inter-organizational coopetition, and this study aims to fill this gap.

This conceptual paper aims to examine theoretical issues in the proactive ethical assessment of technology development, with a focus on uncertainty. Although uncertainty is a fundamental feature of complex technologies, its importance has not yet been fully recognized within the field of ethics. Hence, the purpose of this paper is to study uncertainty in technology development and its consequences for ethics.

Going on the insight of various scientific disciplines, the concept of uncertainty will be scrutinised and a typology of uncertainty is proposed and introduced to ethical theory. The method used is theoretical and conceptual analysis.

The analysis results in questions with regard to the collection of information about the object of assessment (i.e. complex technologies and their development) and the framework of assessment (i.e. ethical theory and its practical aim of guiding the assessment of technology development). Moreover, based on the insights of the analysis of uncertainty, it is argued that substantive ethical theories prove to be inapt for the ethical assessment of complex technology development and therefore require a concomitant procedural approach. The paper concludes with requirements for any future ethics of technology under uncertainty.

The value of the paper consists in establishing the need of researching and incorporating uncertainty in ethics. The results are consequently of practical and theoretical interest for anyone working in the field of ethics and technology.

The objective of this paper is to offer a validated framework for the analysis of (future) risks and uncertainties involved in the decision‐making process concerning the upgrade and roll‐out of large infrastructural projects, e.g. broadband networks. The framework classifies risks and uncertainties based on the nature of the risks, levels and sources.

The approach takes the form of conceptual as well as qualitative and quantitative empirical analyses.

Telecommunications operators are faced with various types of risks and uncertainties in their decision‐making process concerning the upgrade and roll‐out of their broadband networks. In one respect, these risks and uncertainties have to do with the characteristics of large infrastructural projects, while, on the other hand, being caused by (unknown) competitor behaviour, (unknown) end‐user demand, rapid technological development and different development paths available to operators. Framing risks and uncertainties into a typology provides greater insight into the categories, characteristics and sources of the risks and uncertainties, as well as being a first step in finding ways to deal with them.

The paper presents and validates a framework for the analysis of risks and uncertainty. It also offers empirical data on how operators manage risk and uncertainties.

Along with technology-based ecosystems, healthcare start-ups are expanding multi-fold. On the other hand, underlying uncertainties pose several challenges for these health-tech enterprises at macro-meso-micro level, influencing their business circumstances and profitability. The current study aims to comprehend the macro-, meso- and micro-level barriers that make it difficult for enterprises to set up healthcare technology start-ups. The study also observed the perceived effect of these challenges on firms' performance and cost structure over time. Using the theory of behaviour under uncertainty, the study revealed multiple systemic, sector-related, human and implementation barriers that hinder business growth and lead to uncertainties for health-tech start-ups.

Using a grounded theory approach, the study collected the views of 51 health tech start-ups in the UK using an online participants pool. The data was collected using qualitative data techniques in the form of open-ended essays, and a content analysis using thematic coding process was conducted. The questions centered around the different institutional uncertainties or barriers while setting up or running a healthcare start-up.

The study revealed several macro-, meso- and micro-level barriers these technology-based enterprises perceive in the healthcare industry. These are recognised as systemic barriers, such as lack of funding and procedural issues; sector-related barriers, such as market-related impediments; human barriers, including psychological barriers and resistance to new technology; and implementation barriers, such as operational and personnel issues.

The study used qualitative, open-ended essay techniques to collect the data. Future studies may use a mixed-methods approach to provide holistic insights. The study is conducted in a single developed country, the UK. Future work may expand these findings by comparing developed market challenges with those of emerging markets and by assessing the viewpoints of healthcare start-ups.

This research will assist the healthcare sector and government understand health tech start-up hurdles and uncertainty. Policymakers must assist start-ups and encourage entrepreneurial innovation. Regulating and enabling policies will help. The paper examines start-ups' macro, meso and micro uncertainties. Policymakers promoting sector entrepreneurship must consider these barriers while designing policy guidelines.

The study contributes to the existing literature on technology start-ups, particularly in the healthcare industry, and identifies significant barriers these start-ups face. The study synthesizes research on health-tech start-up uncertainty and bridges the gap between theory and practice by applying empirical findings.

The performance of the World Wide Web is evaluated as an information resource in a specific information domain. The theoretical framework underpinning this approach recognises the contribution of information‐seeking behaviour from the discipline of information science and models of information systems success from the discipline of information systems in explaining World Wide Web usage as an information resource. A model integrating the construct of uncertainty and the task‐technology fit model is presented. A questionnaire‐based empirical study is used to test this integrated approach. Our results confirm that richer models representing the broad context of World Wide Web usage are required to evaluate usage of the World Wide Web as an information resource. Usage for travel tasks, uncertainty reduction, the Web as an information resource, and mediation all have a significant impact on users' perception of performance, explaining 46 per cent of the variance.

This paper investigates the effects of different uncertainties on Internet stock trading (IST) adoption intentions of individual investors in China and aims to determine the interaction effects of trust and perceived benefits in the relationship between uncertainty dimensions and IST adoption intentions.

Using a structured questionnaire, a survey of 353 experienced stock traders was conducted in China. The proposed uncertainty-trust-perceived benefits framework was examined through structural equation modelling using Smart PLS 3.0.

The study found significant negative effects of perceived technology uncertainty, perceived regulatory uncertainty and perceived information asymmetry on the IST adoption intentions of individual investors. Perceived service intangibility was found to have only insignificant effects on IST adoption intentions. In terms of interaction results, trust significantly moderates the relationship between IST adoption intentions and, respectively, perceived technology uncertainty and perceived information asymmetry. Similarly, perceived benefits significantly moderate the relationship between intentions to adopt IST and both perceived technology uncertainty and perceived regulatory uncertainty.

The regulators for IST development in China could utilise the results of this study as guidelines for strategies to increase the use of IST among existing and potential investors.

Using social cognitive theory, this research investigates the effects of various uncertainties on IST adoption intentions of individual investors in China; these effects have not been explored by previous literature. Furthermore, few studies other than this one have investigated the interaction effects of factors which counteract the negative effect of other factors.

In addition to leading a new tide of global financial technology, blockchain delivers advantages in terms of risk control compared to traditional financial systems. By exploring the relationship between blockchain technology and macroeconomic uncertainty, this study aims to identify the hedge risk attribute of blockchain technology.

From a data set comprising 6,323 Chinese firms with A-shares listed on the Shenzhen and Shanghai Stock Exchanges in 2015–2018, the authors obtain the use of blockchain technology by listed companies on the basis of annual reports, news reports, search engines and prospectuses. These documents are then subjected to text analyses based on computer technology. Cross-sectional and propensity score matching analyses are used to ensure robustness.

The empirical results show that with an increase in macroeconomic uncertainty, blockchain technology can potentially enable companies to reduce their systemic risks and enhance their investment efficiency.

This study expands the literature on the application of blockchain technology, offers references for enterprises to address future risks based on specific macroeconomically uncertain environments and provides guidelines for governments to maintain financial market stability.

This paper empirically examines the process of acquiring technology from a source, external to the firm, and incorporating it into a new product or operational process under development. We refer to this key activity in product and process innovation as external technology integration. This paper develops a conceptual model of external technology integration based on organizational information processing theory and a wide range of technology management literature. Field interviews were conducted to evaluate the validity of the model across diverse settings. Our results indicate general support for the conceptual model. We close with a discussion of the implications of this study for both theory and practice.

This study aims to develop a moderated mediation model to explain the practices of supply base management and how they can achieve innovation performance, and the authors explore the boundary conditions of this implementation mechanism.

The authors used the bootstrap procedure to conduct empirical tests on 328 Chinese manufacturers to verify the proposed model.

The results showed that supplier innovation focus, supply-base structuring and long-term relationship focus have a positive impact on innovation performance through supplier innovativeness, and the mediation performs differently under technology and demand uncertainty.

The authors only focused on innovation performance, and it does not explore the links between supply base management and other performance outcomes. This study involves part of the supply network which is easier to manage, i.e. supply base. The authors ignored the importance of other members in supply network. Finally, the data obtained in this study belong to the cross-sectional data during the same period but it accomplishes the research aim well.

The focal firm needs to improve their supply base composition, establish permeable organizational boundaries, and build long-term strategic partnerships characterized by equality and trust with suppliers to stimulate supply base members to make innovative contributions.

This study complements the implementation path of manufacturers around innovation, emphasizing multidimensional characteristics of supply base management. And this study clarifies the mechanism and boundary conditions between supply base management and innovation performance.