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This paper aims to present a novel wireless passive pressure sensor based on an aperture coupled microstrip patch antenna embedded with an air cavity for pressure measurement.

In this paper, the sensitive membrane deformed when pressure was applied on the surface of the sensor and the relative permittivity of the mixed substrate changed, resulting in a change in the center frequency of the microstrip antenna. The size of the pressure sensor is determined by theoretical calculation and software simulation. Then, the sensor is fabricated separately as three layers using printed circuit board technology and glued together at last. The pressure test of the sensor is carried out in a sealed metal tank.

The extracted resonant frequency was found to monotonically shift from 2.219 to 1.974 GHz when the pressure varied from 0 to 300 kPa, leading to an average absolute sensitivity of 0.817 MHz/kPa.

This pressure sensor proposed here is mainly to verify the feasibility of this wireless passive maneuvering structure, and when the base material of this structure is replaced with some high-temperature-resistant material, the sensor can be used to measure the pressure inside the aircraft engine.

The sensor structure proposed here can be used to test the pressure in a high-temperature environment when the base material is replaced with some high-temperature-resistant material.

The purpose of this paper is to propose a pressure-, temperature- and acceleration-sensitive structure-integrated inductor-capacitor (LC) resonant ceramic sensor to fulfill the measurement of multi-parameters, such as the measurement of pressure, temperature and acceleration, simultaneously in automotive, aerospace and aeronautics industries.

The ceramic-based multi-parameter sensor was composed of three LC tanks, which have their resonant frequencies sensitive to pressure, temperature and acceleration separately. Two aspects from the specific sensitive structure design to the multiple signals reading technology are considered in designing the multi-parameter ceramic sensor. Theoretical analysis and ANSYS simulation are used in designing the sensitive structure, and MATLAB simulation and experiment are conducted to verify the feasibility of non-coverage of multi-readout signals.

It is found that if the parameters of sensitive structure and layout of the LC tanks integrated into the sensor are proper, the implementation of a multi-parameter sensor could be feasible.

The ceramic sensor proposed in the paper can measure pressure, temperature and acceleration simultaneously in harsh environments.

The paper creatively proposes a pressure-, temperature- and acceleration-sensitive structure-integrated LC resonant ceramic sensor for harsh environments and verifies the feasibility of the sensor from sensitive structure design to multiple-signal reading.

The purpose of this paper is to demonstrate how crop price insurance premium can be calculated using an option pricing model and how insurers can transfer underwriting risks in the futures market.

Based on data from spot and futures market in China, this paper develops an improved B-S model for the calculation of crop price insurance premium and tests the possibility of hedging underwriting risks by insurance firms in the futures market.

The authors find that spot price of crops in China can be estimated with agricultural commodity futures prices, and can be taken as the insured price for crop price insurance. The authors also find that improved B-S model yields better estimation of crop price insurance premium than traditional B-S model when spot price does not follow geometric Brownian motion. Finally, the authors find that hedging can be one good alternative for insurance firms to manage underwriting risks.

This paper develops an improved B-S model that is data-driven in nature. Insured price of the crop price insurance, or the exercise price used in the B-S model, is estimated from a co-integration model built on spot and futures market price series. Meanwhile, distributional patterns of spot price series, one important factor determining the applicability of B-S model, is factored into the improved B-S model so that the latter is more robust and friendly to data with varied distributions. This paper also verifies the possibility of hedging of underwriting risks by insurance firms in the futures market.

Previous studies have shown that the application of information technology (IT) can help break through the innovation boundaries of firms and has undoubtedly become a key enabler of collaborative innovation. These studies, however, are mainly based on theoretical analysis and case studies, and little is empirically known about the relationship between IT investments and collaborative innovation. Therefore, the purpose of this study is to empirically explore how firms' IT investments affect the firms' collaborative innovation performance. The authors also examine the moderating roles of the top management team's (TMT's) educational background and absorptive capacity in this relationship.

The authors collected data on 2,097 listed Chinese manufacturing companies and used the ordinary least squares (OLS) method to perform regression analysis. In addition, the authors conducted robustness tests using the propensity score matching (PSM) method and the instrumental variable method.

The results show that the relationship between IT investments and collaborative innovation is inverted, U-shaped and curvilinear. In addition, the TMT's educational background and absorptive capacity positively moderate the inverted U-shaped relationship between IT investments and collaborative innovation.

The study's findings on the relationship between IT investments and collaborative innovation differ from previous mainstream findings that recognized a positive linear relationship. The authors' findings deepen the understanding of the dual role of IT investments. Moreover, this research helps expand the contingency perspective in IT investments and collaborative innovation research.

The study aims to test the framework that proposes the role of resources (intellectual capital) in mobilizing entrepreneurial orientation that influences the competitiveness improvement of micro-small-medium enterprises (MSMEs) under the lens of resource orchestration theory.

In this study, 347 respondents from the MSMEs participated through a structured questionnaire. For the data analysis purpose, the structural equation modeling technique was employed using SmartPLS software.

The results suggest human, structural, and relational capital are significant antecedents of entrepreneurial orientation, which leads to competitiveness improvement. The findings also indicate the mediation role of entrepreneurial orientation between intellectual capital and competitiveness improvement.

The current study presumably will supplement the promising research effort to progress the research orchestration theory and also could be a strategic guideline for the managers/owners of the MSMEs.

This study is possibly a novel attempt to divulge the association between intellectual capital (tripartite model) and competitiveness improvement of firms under the lens of resource orchestration theory.

Digital healthcare manages to grab considerable attention from people and practitioners to avoid severity and provide quick access to healthcare. Entrepreneurs also adopt the digital healthcare segment as an opportunity; nevertheless, their intentions to participate and encourage innovation in this growing sector are unexplored. Drawing upon the social capital theory and health belief model, the study examines the factors that drive entrepreneurship. A novel model is proposed to comprehend entrepreneurial intentions and behavior entrenched in social capital and other encouraging and dissuading perceptive elements with the moderation of trust in digitalization and entrepreneurial efficacy.

The cross-sectional method is used to collect data through a questionnaire from experienced respondents in China. The valid data comprises 280 respondents, analyzed by partial least square structural equation modeling.

Social capital significantly influences monetary attitude, and perceived risk and holds an inconsequential association with perceived usefulness, whereas monetary attitude and perceived usefulness meaningfully explain entrepreneurial activities. Perceived risk has a trivial impact on entrepreneurial intention. Entrepreneurial efficacy and trust in digitalization significantly explain entrepreneurial behavior and moderate the positive relationship between intention and behavior.

The present research proposes a novel research model in the context of entrepreneurship rooted in a digitalized world and offering new correlates. It provides valuable insights by exploring entrepreneurial motivation and deterring factors to get involved in startup activities entrenched in social capital, providing guidelines for policymakers and practitioners to promote entrepreneurship.

This paper investigates the link between Intellectual Capital (IC) and Open Innovation (OI). Scholars worldwide consider the topics as standing alone and so they give scarce attention to the possible link between them. Managerial experiences (and few theoretical contributions), instead, hypothesize a significant role that IC can play over OI processes in order make them successful.

The methodology of a single case study is used to investigate the link between IC and OI. In particular, an OI process managed by a global company, LEGO, and named Mindstorms is rebuilt and analysed herein.

Intermediate results achieved by LEGO through its OI process were unsuccessful since the company had not developed its own IC (made up of relational, human and structural capital). The subsequent development of IC, instead, has driven to successful results. This suggests that if companies do not develop their IC before launching OI processes, then these processes might be not successful.

One limitation is the use of a single case study. Despite this, the present article is a warning for all the companies: before launching OI processes they need to develop their IC.

To the best knowledge of the authors, this is one of the first works that deepens the investigation of the link between IC and OI. Very often, scholars investigating IC shyly refer to OI, without mentioning it, while the scholars investigating OI allude to IC, without citing it. In this study, IC and OI are investigated together.

This study aims to examine the influence of intellectual capital and knowledge management on competitive advantage with the mediation role of innovativeness in the Pakistan manufacturing industry. Moreover, differentiation strategy is used as a moderator between innovativeness and competitive advantage.

The data was collected from 387 manufacturing firms in Pakistan through questionnaires. Purposive random sampling was used to collect data. The partial least square structural equation modeling (PLS-SEM) method is used to test the proposed hypotheses. This study followed multiple regression analyses to see the influence of intellectual capital, knowledge management, innovativeness and differentiation strategy on competitive advantage.

The results elucidate that intellectual capital and knowledge management significantly determines innovativeness and competitive advantage. Moreover, innovativeness significantly mediates between intellectual capital, knowledge management and competitive advantage. Besides, innovativeness significantly determines competitive advantage. Business strategies significantly lead to competitive advantage. Finally, business strategies significantly moderate between innovativeness and competitive advantage.

The research highlight an important issue that how manufacturing sector management uses intellectual capital, knowledge management, innovativeness and business strategies in determining competitive advantage. Besides, it covers the gap and assists the management of the manufacturing sector to focus on exogenous constructs to examine competitive advantage.

This study adds value to the body of knowledge by focusing on predictors that impact competitive advantage. This initial study determines intellectual capital and knowledge management influence on competitive advantage and innovativeness as a mediator by using resource orchestration theory. Moreover, differentiation strategy is used as moderating variable between innovativeness and competitive advantage. The managers, students and researchers can obtain benefits from this study.

This paper aims to explore how the three components of intellectual capital (IC) (human, structural and relational) are related to corporate innovation and how effective knowledge management can improve business performance, innovation and environmental compliance. Additionally, the study investigates the influence of environmental compliance on overall business performance.

The organizational resource-based view was used to develop a theoretical model and accompanying hypotheses. A survey design approach was used to collect data and evaluate the model. The predicted relationships were tested by structural equation modeling using data acquired from members of management teams in the Vietnamese manufacturing sector.

The three components of IC have significant positive effects on business performance. In addition, corporate innovation, knowledge management success (KMS) and environmental compliance all significantly increase business performance. Moreover, KMS indirectly enhances business performance through innovation and environmental compliance.

This study provides useful insights into knowledge management, innovation and environmental compliance for administrators, practitioners and scholars. The results support practical advice for how firms can integrate KMS strategies into their operations, improve environmental compliance and increase business success.

The links between IC, knowledge management, innovation and environmental compliance are of ongoing interest to organizational scholars. However, empirical research on the relationships of these factors with business performance has been limited. This study investigates these links and offers factual evidence for them.

This study aims to propose and test a theoretical model exploring the impact of internal and external factors of social media use by IT organisations on open innovation (OI) adoption with the mediating effect of knowledge management capabilities.

Data were collected from 200 IT firms and partial least squares structural equation modelling was used to analyse the data of this study and to test the research hypotheses.

The results revealed that both customer involvement in social media and top management support (TMS) for social media had a significant impact on OI adoption. However, only the relationship between TMS for social media usage and OI link was mediated by knowledge management capability.

This study stresses the importance of social media policy development for business managers to create an interactive platform for their customers to participate in the activities of the firm. Moreover, the results suggest that for developing open knowledge management capabilities, leaders must focus on and support the use of social media technologies by the firms.

Social media technologies have taken the world by storm. Organisations and individuals are influenced by the knowledge available on Web 2.0 platforms. Most of the current research has focussed on the impact of social media use on OI in developed countries, but developing nations on the Asian continent have been left out of this discussion. Moreover, while most studies have focussed on the OI outcomes, less efforts have been directed towards understanding and exploring the OI antecedents.