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Technostress reduces employees' work performance and increases their turnover intentions, such that technostress harms organizations' success. This paper investigates how the digital mindset of employees, reflecting their cognitive filter while using digital technologies, influences reactions to techno-stressors.

In this quantitative study, the authors conducted a survey among 151 employees who regularly use digital technologies and encounter various techno-stressors in their daily work. To build this research model and evaluate the influence of employees’ digital mindset on technostress, the authors followed arguments from the transactional model of stress. The authors evaluated our research model using the covariance-based structural equation model.

The study findings reveal that employees’ digital mindset influences technostress. Employees with high levels of digital mindset react with less adverse effects on perceived techno-stressors. Further, the authors find that employees with high levels of digital mindset perform well and are satisfied with their job. The authors contribute to technostress research by revealing that digital mindset buffers the adverse effects of techno-stressors. The authors also contribute to research on digital mindset by showing that it influences psychological and behavioral reactions to techno-stressors.

This study develops and empirically tests an integrated model of technostress to explain how digital mindset mitigates technostress. The study findings outline relevant research avenues for studies investigating employees’ characteristics and technostress.

This chapter discusses the control of women's bodies and minds through the daily practices of menstrual control apps. Based on Michel Foucault's concepts (2003, 2006, 2013), the research is based on women's relationship with their own bodies. Still, it is wider than the body per se since the central theme is the construction of subjectivities. This paper embraces power modalities and explores disciplinary and discursive practices and regimes of truth, biopower, biopolitics and governance. The paper frames the fundamental points of Michel Foucault's analysis of power and how they are associated with strategies used for menstrual tracking apps. It looks at how apps act on the subjectivity of being a woman, shaping ways of thinking and acting. It looks at how disciplinary practices, knowledge–power and surveillance, as Foucault tells us, relate to themselves and medicine. The text highlights that monitoring data and corporate surveillance by menstrual apps poses unprecedented challenges to feminist politics. Therefore, we argue that the technology of menstrual tracking apps acts subtly and uninterruptedly to docilise female bodies and make them useful. Trying to find new paths and solutions from a feminist and critical perspective, we offer suggestions for further research on the topic, disregarding liberal approaches which rely on media literacy exclusively rather than a holistic comprehension of technology and women's rights.

This study aims to understand the progressive marketization of health data collection and use, through a study of its historical development in France, from the 1930s to the present day.

The authors collected a set of legal, institutional, political and media data. These came from the INA (National Audiovisual Institute), the French national newspaper websites and the websites legifrance.gouv.fr and vie-publique.fr. The authors then conducted a thematic content analysis.

The study results highlight the changes in the health-care system related to the increased use of data in France over three major periods. The first period – 1930s to 1980s – is marked by the creation of the French social security system to collect large sets of data to better manager people’s health care. The second period – 1980s to 2000s – is characterized by the adoption and assimilation of tools to manage patient data through several national and European regulations. The last period – 2000s to the present – saw the introduction of measures in favor of the digitalization of health care, and consequently of data, in parallel with the advancement of digital technologies in general. The institutional dynamics in healthcare have evolved with the nature of the actors and their practices, in connection with new perceptions about health data.

This research sheds light on the historical transformation of health data collection and use in France, revealing the involvement of diverse stakeholders, the discourses driving data development and the need for regulation. It exposes the dual nature of health data collection and use, initially sanctioned by the state and public entities but later exploited for private interests.

Based on neo-institutional theory, this study evaluates factors that affect instances of data breaches in a hospital. The authors study the effect of adopting the health information exchange (HIE) initiative on a hospital’s data breach threats. This study integrates formal and information institutional factors to identify the antecedents that influence data breaches when adopting HIE. This study uses a hospital’s entrepreneurial orientation (EO) as a formal institutional factor and national culture (collectivism–individualism) as an informal institutional factor.

Using a Statistical Analysis System, the authors analyze US hospital observations over five years. The data was collected from the Health Information and Management Systems Society (HIMSS) database, the Health and Human Services website and the Vandello and Cohen (1999) collectivism index.

This study finds that when hospitals adopt HIEs, data breaches increase. This study also finds that both EO (formal institutional factor) and the individualism–collectivism index (informal institutional factor) significantly moderate these instances.

HIMSS has not updated its data set to reflect recent hospital data, so this study’s data set lacks recent data on US hospitals.

This study is one of the few studies to address the impact of cultural variation in US hospitals and how it interacts with entrepreneurial activity to lower data breach threats when adopting new data exchange standards.

Drawing on a theoretical framework of sustainable career ecosystem theory, our paper aims to consider how domestic and international postgraduates can enhance their employability through participation in a landscape of practice.

The study employed an exploratory, longitudinal case study design to capture students' lived experiences on an 18-month Master of Professional Practice course at a higher education institution in New Zealand. The data collection procedure involved field note observations (months 1–4), a focus group (month 13) and narrative frames (months 16–18). The sample was domestic students from New Zealand (n = 2) and international students from Asia (n = 5).

One’s participation in multiple communities of practice represents their landscape of practice and a commitment to lifewide learning. Through participation in various communities of practice, domestic and international students can enhance their employability in three ways: (1) boundary encounters to develop social capital, (2) transcending contexts to enhance cultural capital, and (3) acknowledging the development of psychological capital and career agency.

Our work offers one of the earliest empirical validations of sustainable career ecosystem theory. Expressly, communities of practice represent various contexts whereby employability capital is developed over time. Additionally, the postgraduate students themselves are portrayed as interconnected and interdependent actors, presenting a novel framing of such dependencies at the micro-level of the ecosystem. The practical implications come from informing universities of the value of a landscape of practice to enhance the employability of domestic and international students in preparation for sustainable careers and to promote the sustainability of the career ecosystem.

This study aims to examine decision factors for global sourcing, differentiated into transcontinental and continental sourcing to obtain insight into locational aspects of sourcing decisions and global trends. This study analyzed various country perceptions to reveal their influence on sourcing decisions. The country of origin (COO) theory explains why certain country perceptions and images influence purchasing experts in their selection of suppliers.

This study used a two-study approach. In Study 1, the authors conducted discrete choice card experiments with 71 purchasing experts located in Europe and the USA to examine the importance of essential decision factors for global sourcing. Given the clear evidence that location is a factor in sourcing decisions, in Study 2 the authors investigated purchasers’ perceptions and images of countries, adding country ranking experiments on various perceived characteristics such as quality, price and technology.

Study 1 provides evidence that the purchasers’ personal relationship with the supplier plays a decisive role in the supplier selection process. While product quality and location impact sourcing decisions, the attraction of the buying company and cultural barriers are less significant. Interestingly, however, these factors seem as important as price to respondents. This implies that a strong relationship with suppliers and good quality products are essential aspects of a reliable and robust supply chain in the post-COVID-19 era. Examining the locational aspect in detail, Study 2 linked the choice card experiments with country ranking experiments. In this study, the authors found that purchasing experts consider that transcontinental countries such as Japan and China offer significant advantages in terms of price and technology. China has enhanced its quality, which is recognizable in the country ranking experiments. Therefore, decisions on global sourcing are not just based on such high-impact factors as price and availability; country perceptions are also influential. Additionally, the significance of the locational aspect could be linked to certain country images of transcontinental suppliers, as the COO theory describes.

The new approach divides global sourcing into transcontinental and European sourcing to evaluate special decision factors and link these factors to the locational aspect of sourcing decisions. To deepen the clear evidence for the locational aspect and investigate the possible influence of country perceptions, the authors applied the COO theory. This approach enabled authors to show the strong influence of country perception on purchasing departments, which is represented by the locational effect. Hence, the success of transcontinental countries relies not only on factors such as their availability but also on the purchasers’ positive perceptions of these countries in terms of technology and price.

The purpose of this paper is to investigate how different manufacturing technologies are bundled together and how these bundles influence operations performance and, indirectly, business performance. With the emergence of Industry 4.0 (I4.0) technologies, manufacturing companies can use a wide variety of advanced manufacturing technologies (AMT) to build an efficient and effective production system. Nevertheless, the literature offers little guidance on how these technologies, including novel I4.0 technologies, should be combined in practice and how these combinations might have a different impact on performance.

Using a survey study of 165 manufacturing plants from 11 different countries, we use factor analysis to empirically derive three distinct manufacturing technology bundles and structural equation modeling to quantify their relationship with operations and business performance.

Our findings support an evolutionary rather than a revolutionary perspective. I4.0 technologies build on traditional manufacturing technologies and do not constitute a separate direction that would point towards a fundamental digital transformation of companies within our sample. Performance effects are rather weak: out of the three technology bundles identified, only “automation and robotization” have a positive influence on cost efficiency, while “base technologies” and “data-enabled technologies” do not offer a competitive advantage, neither in terms of cost nor in terms of differentiation. Furthermore, while the business performance impact is positive, it is quite weak, suggesting that financial returns on technology investments might require longer time periods.

Relying on a complementarity approach, our research offers a novel perspective on technology implementation in the I4.0 era by investigating novel and traditional manufacturing technologies together.

To keep up with their changing environment, organizations are investing in continuous skills development of their employees and therefore implement personal development plans (PDPs). However, to be effective, PDPs require employees to show self-direction in learning (SDL). Autonomy-supportive supervisors can foster employees’ SDL. Therefore, the purpose of this cross-sectional study is two-fold. First, this study explores the relationship between perceived autonomy support and learning at the workplace. Second, this study investigates the mediating role of SDL when using a PDP.

Based on data from a convenience sample from employees in various industries (n = 193), structural equation modelling was used to investigate the relationships between the different variables.

First, a positive relationship was found between perceived autonomy support and informal learning activities, but not with formal learning activities. Second, results indicated that SDL when using a PDP mediates the relation between perceived autonomy support and both formal and informal learning activities at the workplace. These results suggest that a supervisor who is perceived as autonomy supportive can foster employees’ SDL when using a PDP and, in turn, support learning at the workplace.

Also, these findings indicate that autonomy-supportive supervisors can encourage the undertaking of learning activities by stimulating SDL when using a PDP.

For a PDP to be effective, a degree of SDL is assumed. To the best of the authors’ knowledge, this is the first study to investigate SDL within a PDP setting.

Prior research suggests that collaboration is key to sustainable community development and environmental management, and peer-to-peer learning (P2PL) may facilitate community building and collaborative learning skills. This study aims to examine the effect of P2PL on the enhancement of environmental management and sustainable development skills, community building and social capital (i.e. connectedness) and understanding of course learning objectives.

Quantitative and qualitative longitudinal survey data was collected in a sustainable development focused course offered at a large American public university that uses P2PL to explicitly facilitate community building and collaborative skills. Safety precautions and changing locational course offerings due to the COVID-19 pandemic in years 2020, 2021 and 2022 provided an opportunity to evaluate the impact of P2PL on these skills during both virtual and in-person formats. Additionally, this study compared in-course student evaluations with students taking other sustainable development-related courses with collaborative learning aspects to understand the wider effectiveness of this course structure.

This study finds that course format (virtual vs in-person) overall made no difference in either connectedness or conceptual understandings, and that students in both formats felt more connected to others than students taking other courses with P2PL. Scaffolding P2PL and supplemental peer support can yield improved connectedness and learning among students taking environmental coursework.

Sustainable development requires group collaboration and partnership building skills. Issues are consistently raised about the challenges to teaching these skills in higher education. The students and instructors in this research study identify P2PL strategies to address these challenges for in-person and virtual classroom settings.

This paper investigates how a firm’s organizational culture profile (configuration of organizational culture types) influences the effectiveness of operations management (OM) practices in improving their targeted outcomes.

We developed alternative hypotheses based on contingency and paradox perspectives to predict the effectiveness of OM practices in dominant (one prevalent organizational culture type) vs eclectic (opposing organizational culture types at a similar level) organizational culture profiles. They were tested using data from over 7,000 respondents across 330 manufacturing plants in 15 countries.

Consistent with contingency theory, OM practices oriented toward innovation are more efficacious in plants with an adhocracy-dominant organizational culture profile and practices targeting supply chain (SC) control are less effective in a clan-dominant organizational culture profile. Consistent with paradox theory, OM practices oriented toward efficiency or SC control are more effective in plants with an eclectic organizational culture profile.

This study offers relevant practical implications regarding the effectiveness of various OM practices, whether they are used in an aligned dominant organizational culture profile or in an eclectic organizational culture profile.

Previous research on organizational culture provides a limited understanding of the effectiveness of OM practices in the presence of strategic tensions, such as opposing organizational cultures or opposing targeted outcomes. This research concludes that the validity of the contingency or paradox perspective depends on strategic tensions faced, with important implications for research and practice.