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This paper explores Lean Six Sigma principles and the DMAIC (define, measure, analyze, improve, control) methodology to propose a new Lean Six Sigma 4.0 (LSS 4.0) framework for employee occupational exams and address the real-world issue of high-variability exams that may arise.

This study uses mixed methods, combining qualitative and quantitative data collection. A detailed case study assesses the impact of LSS interventions on the exam management process and tests the applicability of the proposed LSS 4.0 framework for employee occupational exams.

The results reveal that changing the health service supplier in the explored organization caused a substantial raise in occupational exams, leading to increased costs. By using syntactic interoperability, lean, six sigma and DMAIC approaches, improvements were identified, addressing process deviations and information requirements. Implementing corrective actions improved the exam process, reducing the number of exams and associated expenses.

It is important to acknowledge certain limitations, such as the specific context of the case study and the exclusion of certain exam categories.

The practical implications of this research are substantial, providing organizations with valuable managerial insights into improving efficiency, reducing costs and ensuring regulatory compliance while managing occupational exams.

This study fills a research gap by applying LSS 4.0 to occupational exam management, offering a practical framework for organizations. It contributes to the existing knowledge base by addressing a relatively novel context and providing a detailed roadmap for process optimization.

The purpose of this study is to explore the impact of the Covid-19 crisis at the level of individual information behavior among citizens from the German-speaking countries, Austria, Germany and Switzerland.

An online survey was conducted among 308 participants gathered through convenience sampling in April and May 2020, focusing on how citizens changed their mix and usage intensity of information sources and according to which criteria they chose them during the Covid-19 crisis. A Wilcoxon signed-rank test was used for testing central tendencies. Effect sizes were considered to support the interpretation.

The results show first that the Covid-19 crisis has led to an increased demand for reliable information. This goes alongside a significant increased use of public broadcasting, newspapers and information provided by public organizations. Second, the majority (84%) of the participants reported being satisfied with the information supply during the Covid-19 crisis. Participants who were less satisfied with the information supply used reliable sources significantly less frequently, specifically public television, national newspapers and information provided by public organizations. Third, the amount of Covid-19-related information led some participants to a feeling of information overload, which resulted in a reduction of information seeking and media use.

This paper is one of the first to analyze changes of information behavior patterns of individuals during crises in the current information environment, considering the diversity of resources used by individuals.

Exposure therapy is a widely used treatment for patients with post-traumatic stress dis -order. It involves reduction of fear through progressive exposure to frightening stimuli in a therapeutic environment. Here we propose a new method designed to improve the effectiveness of exposure therapy. We hypothesized that device-guided breathing during exposure therapy can increase the capability of the patient to undergo effective exposure. The successful application of the method is described for a single patient. Using a device to slow and regularize breathing, the patient was calmed and experienced a greater sense of control and a profound effect of the exposure. The use of the breathing-guiding device is believed to reduce arousal level and excitability of sympathetic “fight-flight” behaviors. The present study suggests that device-guided breathing integrated with exposure therapy may provide a practically feasible and potentially promising non-pharmacological treatment after trauma.

Implementing a new organizational strategy effectively nowadays is said to require open strategizing practices. The purpose of this paper is to examine the adoption of three intertwined open strategizing practices in conjunction with a transformational leadership style towards effective strategy implementation.

The study was conducted within 37 geographically dispersed locations of a Dutch governmental organization. The top managers and senior managers were surveyed at two points in time (n T1 = 548; n T2 = 414) and group interviewed at T2. Exploratory factor and linear regression analyses were performed. The qualitative data pertaining to the specific way in which leaders can impact the relationship between open strategizing practices and strategy implementation was analyzed using the Gioia methodology.

As hypothesized, transformational leadership moderates the positive relationship between open strategizing practices and effective strategy implementation. This moderating effect was corroborated through the interview data in which the managers stressed the need for “intrinsically motivated” and “empowering” leaders to effectively support the adoption of their own locally-developed location strategy, as part of the overall strategy.

Despite the timely focus on the three intertwined open strategizing practices, the findings are only based on the perceptions of the various top and senior managers employed by one Western public sector organization.

Top and senior managers who need to improve their organization's strategy implementation can apply the here tested three open strategizing practices. They should also be aware of the key role of transformational leadership.

The authors contribute to the “open” strategy-as-practice domain by showing how top and senior managers' transformational leadership style supports the beneficial effects of adopting the three practices.

This paper aims to unify fragmented definitions of fake news and also present a comprehensive classification of the concept. Additionally, it provides an agenda for future marketing research based on the findings.

A review of 36 articles investigating fake news from 1990 to 2020 was done. In total, 615 papers were found, and the article pool was refined manually in two steps; first, articles were skimmed and scanned for nonrelated articles; second, the pool was refined based on the scope of the research.

The review resulted in a new definition and a collective classification of fake news. Also, the feature of each type of fake news, such as facticity, intention, harm and humor, is examined as well, and a definition for each type is presented.

This extensive study, to the best of the author’s knowledge, for the first time, reviews major definitions and classification on fake news.

Este artículo pretende unificar las definiciones fragmentadas de las noticias falsas y también presentar una clasificación exhaustiva del concepto. Además, ofrece una agenda para futuras investigaciones de marketing basada en los resultados.

Se realizó una revisión de 36 artículos que investigaban las noticias falsas desde 1990 hasta 2020. Se encontraron 615 artículos, y el grupo de artículos se refinó manualmente en dos pasos, primero, se descremaron los artículos y se escanearon los artículos no relacionados, segundo, el grupo se refinó basado en el alcance de la investigación.

La revisión dio como resultado una nueva definición y una clasificación colectiva de las noticias falsas. Además, se examinan las características de cada tipo de noticias falsas, como la facticidad, la intención, el daño y el humor, y se presenta una definición para cada tipo.

este amplio estudio revisa por primera vez las principales definiciones y la clasificación de las noticias falsas.

本文旨在统一假新闻的零散定义, 并对假新闻的概念进行全面的分类。此外, 它还根据本文的研究结果为未来的营销研究提供了一个议程。

对1990年至2020年期间调查假新闻的36篇文章进行了回顾。一共发现了615篇论文, 并分为两步对此文章库进行了人工提炼：首先, 对文章进行略读和扫描以找出非相关文章, 其次, 根据研究范围对文章库进行了提炼。

此次审查导致了对假新闻的新定义和集体分类。此外, 还分析了假新闻的真实性、意图、危害性、幽默性等各种类型的特征, 并给出了各种类型的定义。

此项涉及广泛假新闻内容的研究首次回顾了关于假新闻的主要定义和分类。

This paper aims to develop predictive methods, based on recurrent neural networks, useful to support facility managers in building maintenance tasks, by collecting information coming from a computerized maintenance management system (CMMS).

This study applies data-driven and text-mining approaches to a CMMS data set comprising more than 14,500 end-users’ requests for corrective maintenance actions, collected over 14 months. Unidirectional long short-term memory (LSTM) and bidirectional LSTM (Bi-LSTM) recurrent neural networks are trained to predict the priority of each maintenance request and the related technical staff assignment. The data set is also used to depict an overview of corrective maintenance needs and related performances and to verify the most relevant elements in the building and how the current facility management (FM) relates to the requests.

The study shows that LSTM and Bi-LSTM recurrent neural networks can properly recognize the words contained in the requests, thus correctly and automatically assigning the priority and predicting the technical staff to assign for each end-user’s maintenance request. The obtained global accuracy is very high, reaching 93.3% for priority identification and 96.7% for technical staff assignment. Results also show the main critical building elements for maintenance requests and the related intervention timings.

This work shows that LSTM and Bi-LSTM recurrent neural networks can automate the assignment process of end-users’ maintenance requests if trained with historical CMMS data. Results are promising; however, the trained LSTM and Bi-LSTM RNN can be applied only to different hospitals adopting similar categorization.

The data-driven and text-mining approaches can be integrated into the CMMS to support corrective maintenance management by facilities management contractors, i.e. to properly and timely identify the actions to be carried out and the technical staff to assign.

The improvement of the maintenance of the health-care system is a key component of improving health service delivery. This work shows how to reduce health-care service interruptions due to maintenance needs through machine learning methods.

This study develops original methods and tools easily integrable into IT workflow systems (i.e. CMMS) in the FM field.

This study aims to reveal the quantity, quality and cultural differences of negative corporate social performance (CSP) disclosures in large firms' corporate social responsibility (CSR) reports. Firms are expected to be transparent about the impacts and outcomes of their CSP. A central aspect of transparency is balance, which means disclosing both positive and negative CSP.

Content analysis was applied to 75 CSR reports of large firms chosen from the Forbes Top 500 list. The firms belong to three cultural clusters: Anglo, Confucian Asia and Germanic/Nordic Europe.

Firms made few negative CSP disclosures, yet the quantity of negative CSP disclosures varied among cultural clusters. Reports from Germanic/Nordic Europe showed the highest number of negative CSP disclosures, reports from Confucian Asia showed the lowest number and the Anglo cluster's number fell in between. The Asian firms communicated corrective actions more often than firms from the other clusters.

This study focused on negative CSP disclosures in the CSR reports – not omitting negative CSP. The practice of self-laudatory CSR communication decreases the likelihood that relevant stakeholders will believe what firms report about.

Studies on the quality and quantity of negative disclosures are rare; by examining cultural differences, this study contributes to the limited body of knowledge.

The purpose of this paper is to generalize the traditional risk evaluation methods and to specify a multi-level risk evaluation framework, in order to prepare customized risk evaluation and to enable effectively integrating the elements of risk evaluation.

A real case study of an electric motor manufacturing company is presented to illustrate the advantages of this new framework compared to the traditional and fuzzy failure mode and effect analysis (FMEA) approaches.

The essence of the proposed total risk evaluation framework (TREF) is its flexible approach that enables the effective integration of firms’ individual requirements by developing tailor-made organizational risk evaluation.

Increasing product/service complexity has led to increasingly complex yet unique organizational operations; as a result, their risk evaluation is a very challenging task. Distinct structures, characteristics and processes within and between organizations require a flexible yet robust approach of evaluating risks efficiently. Most recent risk evaluation approaches are considered to be inadequate due to the lack of flexibility and an inappropriate structure for addressing the unique organizational demands and contextual factors. To address this challenge effectively, taking a crucial step toward customization of risk evaluation.

To demonstrate transparency and accountability, the three boards in this study are required to meet in public in front of an audience, although the boards reserve confidential issues for discussion in private sessions. This study examines boardroom public accountability, contrasting it with accountability in board meetings held in private. The study adopts Erving Goffman's impression management theory to interpret divergences between boardroom behaviour in public and private, or “frontstage” and “backstage” in Goffman's terminology.

The research observes and video-records three board meetings for each of the three boards (nine board meetings), in public and private. The research operationalises accountability in terms of director-manager question-and-answer interactions.

In the presence of an audience of local stakeholders, the boards employ impression management techniques to demonstrate accountability, by creating the impression that non-executive directors are performing challenge and managers are providing satisfactory answers. Thus, they “save the show” in Goffman terms. These techniques enable board members and managers to navigate the interface between demonstrating the required good governance and the competence of the organisations and their managers, while not revealing issues that could tarnish their image and concern the stakeholders. The boards need to demonstrate to the audience that “matters are what they appear to be”, even if they are not. The research identifies behaviour consistent with impression management to manage this complexity. The authors conclude that regulatory objectives have not met their transparency aspirations.

For the first time, the research studies the effect of transparency regulations (“sunshine” laws) on the behaviour of boards of directors meeting in public. The study contributes to the embryonic literature based on video-taped board meetings to access the “black box” of the boardroom, which permits a study of impression management at board meetings not previously possible. This study extends prior impression management theory by identifying eleven impression management techniques that non-executive directors and managers use and which are unique to a boardroom context.

The main objective of this study is to investigate what are the critical success factors that exist for continuous improvement (CI) methodology deployment in the Irish medical technology (MedTech) industry. The research will, in particular, seek to establish if the highly regulated nature of the global MedTech industry is an additional critical failure factor (CFF) for the deployment of CI methodology. The study involves the analysis of the benefits, challenges, CFFs and tools most utilised for the application to the deployment of CI methodologies in the Irish medical device (MD) industry.

A quantitative survey was utilised in this study. The main participants were made up of senior quality professionals working in operational excellence, quality consultants, quality directors, quality engineers, quality managers and quality supervisors working in both manufacturing and service sectors from Irish MD companies. A total of 94 participants from the Irish MedTech industry responded to the survey.

The main finding of this study is that 42% of participants perceived that a highly regulated environment was a CFF to CI, whilst 79% of respondents utilised Lean Six Sigma in their organisations, and productivity and financial factors were found to be the highest reasons for CI deployment amongst the Irish MedTech industry. The top CFFs highlighted for CI in regulated industries were fear of extra validation activity, compliance versus quality culture and a regulatory culture of being “safe”. Another relevant finding presented in this paper is that just over 48% of participants felt that CI tools are very strongly integrated into the industries quality management systems (QMSs) such as the corrective and preventative action system, non-conformance and audit systems.

All data collected in the survey came from professionals working for Irish indigenous and multinational MedTech companies. It is important to highlight that n = 94 is a low sample size, which is enough for a preliminary survey but reinforcing the limitation in terms of generalisation of the results. A further study on a wider European and global scale as well as a comparison with the highly regulated pharma industry would be informative.

The authors understand that this is the very first research focussed on the CFFs for CI in the MedTech/MD manufacturing industry with a specific focus on the highly regulated nature of the industry as a potential CFF. The results of this study represent an important first step towards a full understanding of the applicability and use of CI in the medical-device-manufacturing industries on a global scale.