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This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics.

In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices.

This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution.

The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.

The purpose of this paper is propose a methodology for monitoring industrial processes that cannot be stabilized, but are nevertheless capable.

The proposed procedure uses the C_P(u,v) family of capability indices proposed by Vännman (including the indices C_PK, C_PM, C_PMK) combined with one‐sided two‐out‐of‐three and three‐out‐of‐four run rules strategies.

This paper introduces a new strategy, where capability indices are monitored in place of the classical sample statistics like the mean, median, standard deviation or range.

When doing a capability analysis it is recommended to first check that the process is stable, e.g. by using control charts. However, there are occasions when a process cannot be stabilized, but is nevertheless capable. Then the classical control charts fail to efficiently monitor the process position and variability. The approach suggested in this paper overcomes this problem.

The experimental results presented in this paper demonstrate how the new proposed approach efficiently monitors capable processes by detecting decreases or increases of capability level.

The purpose of this paper is to describe the development of a novel mobile monitoring and control (MC) framework with active-push and plug-and-play capabilities. This proposed framework is particularly designed to addresses the shortcomings of the traditional factory MC systems in sharing information over the internet, protecting the system security, delivering warning messages, and deploying monitoring points.

By leveraging web service technology, mobile devices, and wireless communication, this paper describes the methodology and approach for designing a MC server, a wireless monitoring module (WMM), an intelligent v-Machine, two active-push mechanisms, a pocket PC application, and a smart phone application.

The designed WMM enables the monitoring points to be deployed in a mobile manner. The proposed mobile MC framework (MMCF) can timely detect abnormalities of appliances and equipment and turn off appliances in dangerous situations through WMM. It can also instantly deliver various warning contents to the mobile devices carried by the responsible persons. The v-Machine is built based on virtual metrology (VM) technology and can predict production precision of machined workpieces.

With the successful design and testing of the novel MMCF, this framework can obviously be used for many more applications and developments.

The authors' implement a factory MC system based on the proposed framework and conduct various integration tests on two electric appliances and a practical CNC machine tool in a factory. Testing results shows that the factory MC system works smoothly according the design goals and can overcome the shortcomings of traditional factory MC systems. The MC system also presents good performances, instantly delivering warning contents with a size ranging from 1K bytes to 10M bytes to the users within few seconds.

The proposed MMCF exploits various automation technologies to detect equipment's abnormalities, reduce the rate of product defects caused by human errors, reinforce security, prevent accidents, and ensure the safety of operations.

The proposed MMCF can effectively promote existing factory MC systems to achieve the merits of mobile MC, which is a unique contribution of this work, compared to previous studies. The results of this study can be applied to a variety of industrial automation applications, including factory automation and assembly automation.

Differences in corporate commitments to sustainability have attracted increasing attentions of both researchers and practitioners. However, reasons behind such differences still lack a generic theorization. We propose that one source of these differences lies in the development and application of what we refer to as dynamic capabilities for corporate sustainability within the firm. Drawing on the dynamic capabilities view, the objective of this paper is to examine the fundamental role of dynamic capabilities in corporate sustainable development.

The research developed a framework of dynamic capabilities for corporate sustainability and used the approach of content analysis to verify the framework based on the CSR reports of UK leading companies.

The research demonstrates that the dynamic capabilities for corporate sustainability enable firms to monitor the emerging sustainability needs of various stakeholders, seize sustainable development opportunities from the rapidly changing stakeholders’ expectations, and reconfigure existing functional capabilities for corporate sustainability.

The framework of dynamic capabilities for corporate sustainability developed in this paper may be used by practitioners to better understand firms’ status in the corporate sustainable development, identify areas of improvement, and more effectively overcome emerging sustainability challenges.

This study makes an early attempt to extend the dynamic capabilities perspective to the area of corporate sustainable development.

The internet of things (IoT) is one of the pillars of Industry 4.0. Prior OM research has conceptualized IoT, and analyzed potential applications and risks and challenges associated with its adoption. However, little empirical evidence exists on the main types of IoT projects undertaken by organizations and on their impacts. The purpose of this paper is to close this gap by searching for a taxonomy of IoT projects that may be associated to different IoT readiness levels. The dynamic capability lens is used as the theoretical background for the analysis.

A database of secondary IoT case studies is used to identify an IoT project taxonomy through two-step cluster analysis. The taxonomy obtained allows classifying projects into homogenous groups by technological novelty, IoT capabilities and functional areas of application. ANOVA is then used to test for the association between cluster membership and alternative operational impacts. Finally, the analysis of selected case studies from the database allows throwing light on the nature of the projects typical of each cluster.

Five clusters of projects have been identified and positioned along varying degrees of capabilities, novelty and scope. The taxonomy is consistent with a three layer IoT technological readiness model. In turn, the three IoT readiness levels correspond to three managerial capabilities: monitoring, control and optimization. Combining cluster results with detailed case analysis suggests that IoT technological readiness can be interpreted as a dynamic capability enabling knowledge creation that can support competitive advantage.

This is a first attempt to describe projects firms undertake when adopting IoT. Building on cluster analysis, the study suggests that different IoT readiness levels are needed to reach different impacts.

This paper explores the conditions in which logistics service providers (LSPs) can compete or collaborate with banks in offering inventory financing as a supply chain finance (SCF) service.

A multiple case study research methodology was adopted. The case study involved six LSPs across Europe. Data were collected through semi-structured interviews.

The results highlighted that an attractive credit demand for LSPs consists in suppliers with high amounts of inventory or borrowing needs that go beyond their borrowing capacity from the perspective of a bank. LSPs can respond to this demand when they have three specific capabilities as follows: risk assessment, risk monitoring and organizational capabilities. The offer of inventory financing can be controlled by the LSPs or by the banks. When the LSPs control the offer, they offer different conditions compared to the banks in terms of credit rationing, transaction costs, payment flexibility, tax rate advantage and financial risk management. When the banks control the offer, the LSPs influence the nature of the SCF services only in terms of credit rationing and transaction costs. The LSPs seem to easily develop risk assessment and risk mitigation capabilities, while the organisational capabilities appear to be the most challenging to build, and when absent they create a barrier to the provision of inventory financing.

The value of the paper is twofold. First, the paper provides a comprehensive taxonomy of the factors conditioning the role of the LSPs in the provision of inventory financing as a SCF service. Second, the paper clarifies the link between the factors and the different roles played by the LSPs.

In vehicular ad hoc networks (VANETs), the information transmitted is broadcast in a free access environment. Therefore, VANETs are vulnerable against attacks that can directly perturb the performance of the networks and then provoke big fall of capability. Black hole attack is an example such attack, where the attacker node pretends that having the shortest path to the destination node and then drops the packets. This paper aims to present a new method to detect the black hole attack in real-time in a VANET network.

This method is based on capability indicators that are widely used in industrial production processes. If the different capability indicators are greater than 1.33 and the stability ratio (S_r) is greater than 75%, the network is stable and the vehicles are communicating in an environment without the black hole attack. When the malicious nodes representing the black hole attacks are activated one by one, the fall of capability becomes more visible and the network is unstable, out of control and unmanaged, due to the presence of the attacks. The simulations were conducted using NS-3 for the network simulation and simulation of urban mobility for generating the mobility model.

The proposed mechanism does not impose significant overheads or extensive modifications in the standard Institute of Electrical and Electronics Engineers 802.11p or in the routing protocols. In addition, it can be implemented at any receiving node which allows identifying malicious nodes in real-time. The simulation results demonstrated the effectiveness of proposed scheme to detect the impact of the attack very early, especially with the use of the short-term capability indicators (Cp, Cpk and Cpm) of each performance metrics (throughput and packet loss ratio), which are more efficient at detecting quickly and very early the small deviations over a very short time. This study also calculated another indicator of network stability which is S_r, which allows to make a final decision if the network is under control and that the vehicles are communicating in an environment without the black hole attack.

According to the best of the authors’ knowledge, the method, using capability indicators for detecting the black hole attack in VANETs, has not been presented previously in the literature.

This study aims to provide new understanding on operational and dynamic capabilities supportive to the implementation of performance-based public procurement by focusing on dyadic capabilities of a supplier and a buyer.

The study is based on the qualitative analysis of 20 interviews with informants representing Finnish public organizations and their private sector suppliers. The analysis is aligned with a theoretical framework connecting the phases of procurement and the capability types studied.

The findings of the study present the role of operational and dynamic capabilities of a buyer and a supplier in the implementation of performance-based procurement at public procurement phases. Preprocurement phase is found to greatly benefit from all three dynamic capabilities, while operational capabilities suffice in the contracting phase.

Increased understanding on capabilities needed in performance-based procurement can increase the chances of success in reaching better value for money of public services and developing supplier markets.

The study contributes to the literature on performance-based public procurement and value-based selling by taking a dyadic approach to the operational and dynamic capabilities needed in business with an emphasis on performance. As the focus in public procurement shifts increasingly from resources to performance, involving a joint effort between buyer and supplier, the study provides insights into role of dyadic capabilities and explains how dynamic and operational capabilities together support the phases of performance-based procurement implementation in the public sector.

The purpose of this paper is to analyze how companies develop mitigation capabilities in their supply chains in order to reduce the negative impacts of counterfeiting.

Five cases with two types of supply chain are analyzed: B2B (clothing, footwear and toys) and B2C (automotive). Data gathering was based on interviews, while secondary data were obtained directly from trade associations.

Companies presented different levels of proactivity for counterfeiting resilience. Companies with a lower level of appetite for risk are more proactive and have a broad number of mitigation capabilities. These companies develop intelligence that is required for combating counterfeiting and the capabilities needed for addressing its ex ante and ex post phases.

The research examines a complex and controversial subject about which there is limited information. The case studies are limited to Brazilian companies and the local subsidiaries of foreign companies. Therefore, the specific context may influence the study findings and reduce their generalizability.

Mitigation capabilities enable companies to minimize the negative impact of counterfeiting and make companies more resilient to counterfeiting activities. The findings indicate that when managers allocate resources in earlier phases of counterfeiting, losses are lower.

This study shows the development process of mitigation capabilities in the ex ante and post-disruption phases of counterfeiting.

The purpose of this paper is to explore the types of Shariah capabilities of Islamic banks, which provide bases for the types of Shariah value propositions, offered by the relationship managers in their front-line service experiences with the customers.

A resource-based view of Shariah capabilities and a service-dominant logic view of value propositions are adopted. Fifteen relationship managers from multiple Islamic banks in Pakistan are interviewed to find a typology of Shariah capabilities and a resultant typology of value propositions for Islamic banks.

The findings suggest that Islamic banks claim to possess five types of Shariah capabilities, namely, Shariah governance capability (SGC), Shariah compliance capability (SCC), Shariah monitoring capability (SMC), Shariah structuring (product) capability (SSC) and Shariah learning capability (SLC). These capabilities lead to four types of values propositions, namely, Shariah identity value (SIV), Riba-free value (RFV), Shariah disclosure value (SDV) and Tangibility value (TV) of the real assets in transactions.

The study has relied on the front-line experiences of relationship managers who are connected to the Islamic banks’ capabilities inside the banks and the value propositions that they offer to show relationships with customers in front-line service experiences. Other stakeholders may have different perspectives on both capabilities and value propositions.

This paper contributes to Islamic finance theory by theoretically and empirically showing two typologies for the Islamic banks' capabilities and value propositions, respectively.