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Augmentation of an ISO 10001 code system for healthcare worker (HW) satisfaction with ISO/IEC 27701 and ISO/IEC 29184 privacy-related subsystems is shown. Four specific codes regarding the privacy of HWs using electronic devices for hand hygiene (HH) monitoring and the related activities are presented.

HWs’ concerns involving automated hand hygiene monitoring technologies were identified through a literature review and classified. Privacy codes (PCs) that deal with such concerns were developed. ISO/IEC 27701 requirements for privacy information were mapped to the elements of these codes, labelled as “Healthcare Workers’ Hand Hygiene Privacy Codes (HW-HH-PCs)”. Both ISO/IEC 27701 and ISO/IEC 29184 guidelines for Privacy Notices and consent were linked with the activities for preparing the code resources.

Components of an ISO/IEC 27701 system, the guidance of ISO/IEC 29184 and the definitions provided in ISO/IEC 29100 can assist the preparation of HW-HH-PCs and the required resources. An ISO/IEC 29184 Privacy Notice can be used as input for developing an Informed Consent Form, which can be implemented to suit two of the four developed HW-HH-PCs.

HW-HH-PCs and the supporting resources, which healthcare organizations could implement to potentially increase quality assurance of an automated HH monitoring service, are illustrated.

Integrative augmentation of ISO 10001:2018, ISO/IEC 27701:2019 and ISO/IEC 29184:2020 within an underlying framework from ISO/IEC 20000–1:2018 for information technology service, together with the related examples of privacy-related customer satisfaction codes and the corresponding resources, is introduced.

We provide a method for automatically extending small‐strain state‐update algorithms and their correspondent consistent tangents into the finite deformation range within the framework of multiplicative plasticity. The procedure, when it applies, operates at the level of kinematics and, hence, can be implemented once and for all independently of the material‐specific details of the constitutive model. The versatility of the method is demonstrated by a numerical example.

This paper is concerned with the calibration and validation of a finite‐element model of dry sliding wear in metals. The model is formulated within a Lagrangian framework capable of accounting for large plastic deformations and history‐dependent material behavior. We resort to continuous adaptive meshing as a means of eliminating deformation‐induced element distortion, and of resolving fine features of the wear process such as contact boundary layers. Particular attention is devoted to a generalization of Archard’s law in which the hardness of the soft material is allowed to be a function of temperature. This dependence of hardness on temperature provides a means of capturing the observed experimental transition between severe wear rates at low speeds to mild wear rates at high speeds. Other features of the numerical model include: surface evolution due to wear; finite‐deformation J₂ thermoplasticity; heat generation and diffusion in the bulk; non‐equilibrium heat‐transfer across the contact interface; and frictional contact. The model is validated against a conventional test configuration consisting of a brass pin rubbing against a rotating steel plate.

The purpose of this chapter is to present key characteristics of early reading text by describing a new series of researcher-developed early reading books that were specifically designed to address multiple criteria, including word structure or decodability, familiarity, repetition, high-frequency, syntax, and text cohesion. We describe the theoretical and empirical rationale that guided the design of the books, how we developed them, and their key features. This is followed by a technical analysis that describes the (1) characteristics of the target words used to guide the writing of the books and (2) characteristics of the text, such as the percentage of words on common high-frequency word lists, word counts, type-token ratio, sentence counts, unique sight words, unique decodable words, and content (i.e., picture-supported) words. The analysis demonstrates that the target words and the text in the books are consistent with our intended goal of simultaneously addressing multiple variables.

The key performance indicators (KPIs) are frequently used in organizations, and they help to transmit the strategy at all levels of the organization. However, the implementation of these indicators in small- and medium-sized companies remains a challenge. Many studies reveal two challenges faced by these firms, the lack of knowledge about the KPIs and the lack of alignment of these with the business strategy. For this reason, this chapter investigated the current level of knowledge about KPIs in managers of small and medium enterprises in the wood and timber sector in Peru.

The level of knowledge was measured using the framework of Bloom's Taxonomy in 21 firms. The use and importance that managers assign to performance indicators were evaluated, in order to identify gaps that exist between the strategy and its use.

The results of a survey study show a high degree of variability in the knowledge of KPI-related concepts as well as an average low level of usage. The importance attributed to KPIs was seen as a necessary but not sufficient condition for attaining higher levels of KPI usage.

The field of Supply Chain Management (SCM) has mainly focused on applications for large firms, where significant amount of theory has been developed in the last decades. Little attention has been received by micro and small enterprises (MSEs) that in Latin America represent approximately 99% of all businesses and are the key for the development of the economy, employment, and growth of the region. Due to MSEs' lack of productivity, only a fraction of them survive and thus contribute to Latin America's economic growth. In this chapter, we discuss the connection between MSEs' productivity growth and SCM. We present key takeaways from the literature and summarized different research approaches used to study this emerging field, specifically related to the impact of the size of the company, the use of surveys to gather data, and the importance of field interventions. We also present a large-scale project (i.e., MIT GeneSys) that focuses on improving survival of MSEs in developing countries and discuss some preliminary learnings gained via conducting shadowing/immersion of ∼250 MSEs from Mexico, Colombia, Chile, Ecuador, Peru, and Bolivia. We conclude the chapter by presenting some recommendations for the future research agenda for the emerging field of SCM for MSEs in Latin America.

The aim of this chapter is to offer a conceptual model for tourist experiences in the destination and suggest implications for different stakeholders in creating experiences for tourists.

This conceptual paper explores tourist experiences based on previous literature and through a brief case. A holistic destination experience model is also suggested including the role of DMOs, host community and industry which are considered under the overall experiencescape.

Literature review and analysis of case study suggest that the destination experience can be framed based on the roles of different actors in a destination. Characteristic of the destination and stakeholders do play important roles in involving tourists in experience production.

Findings might provide insights to DMOs and other stakeholders in the destination concerning their roles in creating a holistic positive destination experience for tourists which is crucial for differentiation. Future research might also concentrate on different elements of destination experience and interrelationships of different stakeholders.

Although there are numerous papers on experiences from individual services (e.g., hotels, airlines, restaurants) in the destination, literature on overall stakeholder and creation of holistic destination experience has been overlooked. This chapter offers a theoretical model that would assist policy-makers to design experiences in the destination by looking at the roles of different stakeholders and to improve the competitiveness of the destination.

Despite the increasing studies concerning external knowledge for innovative firms or for innovations, little research demonstrates as what are those capabilities that enable firms to explore and assess high-valuable knowledge. The aim of this study is to examine those capabilities that aid innovative firms to search and identify the potential knowledge for open innovation. This study is an empirical and theoretical examination of knowledge search and identification capabilities of the UK-based biotechnology firms. The literature has been drawn from the research streams into knowledge management, open innovation and dynamic capabilities.

Forty-five semi-structured interviews with senior-level innovation and R&D managers were completed, and thematic analysis using NVivo 12 was performed.

Evidence from 45 interviews with senior-level innovation and R&D managers in the UK-based biotechnology firms and thematic analysis was used to develop a process framework capturing the key capabilities. By identifying the role and contribution of each of the capabilities in knowledge identification in the practices of open innovation, this study contributes to open innovation and knowledge management literature.

Managerial implications suggest knowledge-oriented leads greatly influence the development of identification capabilities. Hence, firms with knowledge-oriented leads are better crafted approaches to achieve competitive advantages in the practices of open innovation.

This study offers a new theoretical perspective and empirical evidence to view knowledge identification capabilities as the dynamic capabilities. This study offers a process framework of identification capabilities.

In the context of increasing competition between chained retailers and family-owned retailers, it is key to understand the customer's format choice. Using a logistics regression (i.e., binary logit) model, we explain customers' preference to buy in supermarkets or in small-scale, mom-and-pop stores like nanostores. We collect a representative sample of over 110 surveys from customers in the district of Surco, Lima, Perú, which is a representative area of the features of Lima's residents. We asked customers to focus on analyzing their preference between two retail formats: modern channel (i.e., big-box retailers, supermarkets, and hypermarkets) and traditional channel (i.e., mom-and-pop stores, nanostores). Our surveys included factors pertaining retail format attributes as well as factors related to the purchasing process. The results showed that time available for purchase and a comparatively better perceived service at a mom-and-pop store (i.e., nanostore) are significant factors that explain a higher probability of selecting these retailers, while a better store's ambience benefits more supermarkets. The overall discrete choice model is able to explain 65% of the variance using pseudo R-squared of the actual format choice decisions.

The purpose of this paper is to analyse social capital (SC) development oriented to innovation. The relationship between high-performance work systems (HPWSs) and total quality management (TQM) philosophy is considered in this paper as an enabling factor that allows firms to accumulate SC oriented to develop radical and incremental innovation capabilities (IIC).

This paper establishes hypotheses and a model based on partial and total mediating effects of SC to develop innovation capabilities, which are focused on previous unexplored connections between HPWS and TQM and their effects on SC. The model and hypotheses are statistically tested through a partial least squares approach to structural equations models in a multi-industry sample of Spanish companies.

The study results show a system of specific human resource practices connected to SC development. Moreover, SC is found to be a mediating factor in the relationship between TQM and IIC, although the effect is not significant when radical innovation capabilities (RIC) are considered in the model. Finally, it is shown that HPWS partially mediates the relationship between TQM and SC.

This paper mainly contributes to the study of organizational context enablers for intellectual capital (IC) development from a knowledge-based view, especially when firms are seeking to build or improve innovation capabilities. As a managerial approach, HPWSs and TQM are shown as powerful tools to establish prolific contexts for SC development, especially when TQM is rightly supported by a HPWS.

This is a quantitative study that analyses, for the first time, predictive relationships between popular tools such as TQM and HPWSs to create an organizational context for SC development, considering a multi-industry sample of firms. Important implications are also drawn to help managers to create IC assets related to social interaction and network relationships.