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This paper aims to examine the influence of big data (BD) on human resource management (HRM). It defines how these data can be a useful tool in the decision-making process of companies’ human resources to obtain a sustainable competitive advantage.

This paper emphasizes the need to develop a holistic approach to emphasize these relations. Starting from these observations, the document proposes empirical research employing Eurostat data to test the benefits of BD in HRM decisions that optimize the relationship between training, productivity, and well-being.

The findings estimate HRM decisions and their impact in a broader macroeconomic and microeconomic perspective.

BD research is emerging as a crucial discipline in human resources. To overcome this problem, the paper develops an analysis of the literature on cleaner production and sustainability context; it creates a conceptual framework to clarify whether the existing studies consider the growing intensity of BD on human resources.

Mastering innovation in highly regulated markets might require companies to overcome significant barriers. Rules, laws and limitations on social, economic and institutional dimensions can hinder the ability of a company to transfer knowledge within and across organizational boundaries. However, as recent research in innovation management increasingly advocates user involvement and early understanding of user needs as best practices, the inability to freely interact with customers due to highly regulated market restrictions can hinder the company’s capability to innovate. Hence, this paper aims to shed light on how an emerging managerial approach, such as Design Sprint, can support companies operating in highly regulated markets to overcome user involvement limitations and boost human-centered innovation.

This paper sheds light on how to boost innovation in a highly regulated market by leveraging an in-depth case study. The study investigates the use of the Design Sprint approach adopted by the pharmaceutical multinational Johnson & Johnson to revise the way its R&D department orchestrates the new product development process, overcoming the user involvement challenges of highly regulated markets.

In analyzing six different projects undertaken in the past two years, the findings illustrate three microfoundational dimensions of the Design Sprint approach in highly regulated markets, the so-called 3T model: team, time and tools. Indeed, deploying the Design Sprint in a highly regulated market has proven that being able to experiment in the early stages, building rough prototypes in real-time and openly collaborating with partners is crucial to boost innovation and anticipate constraints.

The paper sheds light on the Design Sprint approach by initially grounding an emerging managerial approach on organizational and management theory, leveraging the lens of microfoundations. In doing so, this study suggests how Design Sprint is based on the pillars of experimentation, knowledge transfer and co-creation usually neglected in highly regulated markets where user involvement is challenging. Finally, this study discloses the importance of using a design-based methodology in fostering innovation in highly regulated markets.

Although the debate about the interplay between quality management and organizational culture is long established, extant knowledge about their link is not consistent. This article attempts to fill such a gap by integrating current perspectives and insights through a literature review.

A domain-based literature review has been conducted, which followed the Scientific Procedures and Rationales for Systematic Literature Reviews. The knowledge core consisted of 76 items, which were analysed through bibliographic coupling and co-citation analysis. An interpretive approach was taken to articulate the study findings.

The current scholarly debate unfolds through four research streams, which emphasize the need for joint optimizing quality management and organizational culture embracing a longitudinal perspective. Similarly, the theoretical roots inspiring reviewed contributions are distributed in four clusters, which rely on the assumption that organizational excellence derives from the harmonization of quality management and organizational culture.

Quality management necessitates a supportive organizational culture to set the ground for excellence. At the same time, it modifies the inner traits of the organizational culture. Such cultural changes should be carefully handled to ensure a dependable quality orientation. Achieving organizational excellence involves mastering the interplay between quality management and organizational culture.

This article delivers an unprecedented systematization of the scientific literature. It identifies the main research streams through which the debate on quality management and culture evolves, shedding light on the main conceptual roots inspiring recent scholarly advancements. Alongside overcoming the fragmentation of the extant debate, this review enables the envisioning of an agenda for further developments.

Design approaches to innovation are booming in both the academic and practitioner worlds. Tech giants are proposing different methodologies to develop technological innovation leveraging design principles, for example, Amazon with working backward and Google with Design Sprint. However, little is known on the role of these methodologies in managing the knowledge translation among different stakeholders. This paper aims to investigate how Design Sprint approaches can face digital challenges and foster collaborations.

Through interviews and participatory observations of ten exploratory cases of SME adoption of the Design Sprint methodology, data were collected, organized, clustered and then validated. Furthermore, by adopting a configuration theory perspective, the data have been processed to contribute to the emergence of two Design Sprint organizational taxonomy.

Competences, type of design challenge and the process followed emerge from the cases as key drivers of different Design Sprint configurations. Moreover, the configuration theory helped in identifying two Design Sprint taxonomies named Willing and Wondering configurations. Finally, the paper provides managers with practical guidelines on how to leverage these configurations to make this approach more effective for SMEs and how this method helps the knowledge translation.

The value and originality of the paper are in defining Design Sprint from a theoretical point of view and offering practical guidelines on how to adapt it to the particular context of collaborative digital environments of SMEs. Moreover, it contributes to enlarging the relevance of configurational theory in the creative industries.

The concept of information security culture, which recently gained increased attention, aims to comprehensively grasp socio-cultural mechanisms that have an impact on organizational security. Different measurement instruments have been developed to measure and assess information security culture using survey-based tools. However, the content, breadth and face validity of these scales vary greatly. This study aims to identify and provide an overview of the scales that are used to measure information security culture and to evaluate the rigor of reported scale development and validation procedures.

Papers that introduce a new or adapt an existing scale of information security culture were systematically reviewed to evaluate scales of information security culture. A standard search strategy was applied to identify 19 relevant scales, which were evaluated based on the framework of 16 criteria pertaining to the rigor of reported operationalization and the reported validity and reliability of the identified scales.

The results show that the rigor with which scales of information security culture are validated varies greatly and that none of the scales meet all the evaluation criteria. Moreover, most of the studies provide somewhat limited evidence of the validation of scales, indicating room for further improvement. Particularly, critical issues seem to be the lack of evidence regarding discriminant and criterion validity and incomplete documentation of the operationalization process.

Researchers focusing on the human factor in information security need to reach a certain level of agreement on the essential elements of the concept of information security culture. Future studies need to build on existing scales, address their limitations and gain further evidence regarding the validity of scales of information security culture. Further research should also investigate the quality of definitions and make expert assessments of the content fit between concepts and items.

Organizations that aim to assess the level of information security culture among employees can use the results of this systematic review to support the selection of an adequate measurement scale. However, caution is needed for scales that provide limited evidence of validation.

This is the first study that offers a critical evaluation of existing scales of information security culture. The results have decision-making value for researchers who intend to conduct survey-based examinations of information security culture.

This study aimed to assess the potential of the Clinical Dementia Rating (CDR) Scale in the prognosis of dementia in elderly subjects.

Dementia staging severity is clinically an essential task, so the authors used machine learning (ML) on the magnetic resonance imaging (MRI) features to locate and study the impact of various MR readings onto the classification of demented and nondemented patients. The authors used cross-sectional MRI data in this study. The designed ML approach established the role of CDR in the prognosis of inflicted and normal patients. Moreover, the pattern analysis indicated CDR as a strong cohort amongst the various attributes, with CDR to have a significant value of p < 0.01. The authors employed 20 ML classifiers.

The mean prediction accuracy varied with the various ML classifier used, with the bagging classifier (random forest as a base estimator) achieving the highest (93.67%). A series of ML analyses demonstrated that the model including the CDR score had better prediction accuracy and other related performance metrics.

The results suggest that the CDR score, a simple clinical measure, can be used in real community settings. It can be used to predict dementia progression with ML modeling.

This paper aims to review the information security governance (ISG) literature and emphasises the tensions that exist at the intersection of the rapidly changing business climate and the current body of knowledge on ISG.

The intention of the authors was to conduct a systematic literature review. However, owing to limited empirical papers in ISG research, this paper is more conceptually organised.

This paper shows that security has shifted from a narrow-focused isolated issue towards a strategic business issue with “from the basement to the boardroom” implications. The key takeaway is that protecting the organisation is important, but organizations must also develop strategies to ensure resilient businesses to take advantage of the opportunities that digitalization can bring.

The concept of DSG is a new research territory that addresses the limitations and gaps of traditional ISG approaches in a digital context. To this extent, organisational theories are suggested to help build knowledge that offers a deeper understanding than that provided by the too often used practical approaches in ISG research.

This paper supports practitioners and decision makers by providing a deeper understanding of how organisations and their security approaches are actually affected by digitalisation.

This paper helps individuals to understand that they have increasing rights with regard to privacy and security and a say in what parties they assign business to.

This paper makes a novel contribution to ISG research. To the authors’ knowledge, this is the first attempt to review and structure the ISG literature.

Social innovation education aims to equip students with the skills and mindsets to pursue sustainable and just solutions to complex challenges, yet many programs fail to address the power dynamics underlying unjust social structures. This paper aims to examine a social innovation course that integrates equity, diversity and inclusion principles through critical service-learning.

Researchers conducted semi-structured interviews of 25 students and 5 key informants in a qualitative, single case design to understand multiple perspectives on significant factors in transformative learning. Document review and auto-ethnographic insights provide additional case background.

Students identified the service experience as unique and high impact. Significant factors included the atypical service structure, the EDI framework, and the partner organization as an exemplar in the field. Students displayed a spectrum of learning, from recall and comprehension to critical evaluation, new worldviews, and behavior change.

The findings of this qualitative study pertain to one partnership but are generalizable to theories. These findings are plausibly transferable to other experiential social innovation courses embedded in elite, private, predominately white research universities.

This empirical case examines a unique pedagogical and curricular innovation. By seeking to understand factors and outcomes of experiential learning, this study contributes to the literature on social innovation education and critical service-learning. The analysis produced novel insights for faculty and institutions aiming to integrate equity, diversity, and inclusion goals into social innovation programs.