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Opportunity identification is a driving force in the entrepreneurial process, which is particularly dependent on entrepreneurs' creativity to recognize potential or hidden entrepreneurial opportunities. Therefore, the purpose of this paper is to use opportunity recognition and entrepreneurial creativity to cluster typologies of new ventures and to explore their differences on the performance of new ventures.

In total, 300 new ventures are studied from government‐funded incubators in Taiwan including 54 university incubators, six government incubators, and five non‐profit incubators with a 46 percent response rate. The studied new ventures have been established less than ten years and are not yet IPO. One entrepreneurial member from each new venture is selected to represent his or her company to respond to the questionnaire.

Results of cluster analysis, using the dimensions of opportunity recognition and entrepreneurial creativity, reveal four types of new ventures: “passive”, “creativity‐driven”, “opportunity‐driven”, and “proactive”. Results also indicate that the “proactive” new ventures show better performance in entrepreneurial satisfaction and innovative capability.

The new venture typologies have the potential to serve as a benchmark for practitioners as well as a guide for policy‐makers with regard to the varying nature of opportunities and creativity needs by different types of firms. Moreover, the performance of different types of new ventures contributes to the theoretical development regarding entrepreneurial processes of opportunity recognition and entrepreneurial creativity, especially as relevant for new ventures and entrepreneurs with varying characteristics.

The typologies of new ventures have received much less attention in the entrepreneurship literature than in other management fields.

The purpose of this study is to present a multi-scale analysis methodology for calculating the effective stiffnesses and the micro stresses of helically wound structures efficiently and accurately. The helically wound structure is widely applied in ocean and civil engineering as load-bearing structures with high flexibility, such as wire ropes, umbilical cables and flexible risers. Their structures are usually composed of a number of twisted subcomponents with relatively large slender ratio and have the one-dimensional periodic characteristic in the axial direction. As the huge difference between the axial length and the cross-section size of this type of structures, the finite element modeling and theoretical analysis based on some assumption are usually unavailable leading to the reduction of computability; even the optimization design becomes infeasible.

Based on the asymptotic homogenization theory, the one-dimensional periodic helically wound structure is equivalent to the one-dimensional homogeneous beam. A novel implementation of the homogenization is derived for the analysis of the effective mechanical properties of the helically wound structure, and the tensile, bending, torsional and coupling stiffness properties of the effective beam model are obtained. On this basis, a downscaling analysis formation for the micro-component stress in the one-dimensional periodic wound structure is constructed. The stress of micro-components in the specified geometry position of the helically wound structure is obtained basing on the asymptotic homogenization theory simultaneously.

By comparing with the result from finite element established accurately, the established multi-scale calculation method of the one-dimensional periodic helically wound structure is verified. The influence of size effects on the macro effective performance and the micro-component stress is discussed.

This paper will provide the theoretical basis for the efficient elastoplastic analysis of the helically wound structure, even the fatigue analysis. In addition, it is necessary to point out that the axial length of the helically wound structure in the general engineering problems that such as deep-sea risers and submarine cables.

The purpose of this paper is to investigate the high‐temperature oxidation behavior in air at 900‐1,000°C and electrochemical corrosion performance in 3.5 percent NaCl solution of Ti‐24Al‐17Nb‐0.5Mo (at. %) alloy with Ti‐48Al‐8Cr‐2Ag (at. %) coating.

Laboratory tests are performed to determine the effect of the Ti‐48Al‐8Cr‐2Ag (at. %) coating on the corrosion performance of Ti₃Al alloy.

It is found that the oxidation rate of sputtered Ti‐48Al‐8Cr‐2Ag nanocrystalline coating is lower than that of the Ti₃Al alloy at 900°C. The former forms a scale of merely Al₂O₃ and the latter forms a scale of TiO₂. However, the Ti‐48Al‐8Cr‐2Ag nanocrystalline coating shows a slightly higher oxidation rate than did the Ti₃Al alloy at 1,000°C, because outer TiO₂ scale forms and columnar boundaries of the coating give a larger actual oxidation area than the original alloy. The coating shows the excellent electrochemical corrosion resistance in 3.5 percent NaCl solution because it exhibits stable passive polarization behavior without any overpassivation phenomena.

TiAlCrAg coatings may become a promising protective coating for Ti₃Al‐base intermetallics, which improve the Al₂O₃ scale formation and make the passivation stable.

The purpose of this paper is to answer “Why do Chinese consumers use IOT systems?” and “Do consumers’ cognitive and affect experiences moderate the relationship between psychological perception factors and perceived usefulness?”

In-depth interview with consumers and experts had been conducted and then the perceived psychological factors that influence perceived usefulness had been summarized. Based on a survey test of 337 smart home users, this study applies partial least squares technique analysis to test the research model.

The research results show that perceived psychological factors (perceived ease of use, perceived intelligence, perceived convenience and perceived privacy risk) have significant effect on the intention and behavior of IOT systems usage through perceived usefulness. Cognitive experience moderates the relationship between perceived ease of use and perceived usefulness, perceived privacy risk and perceived usefulness; affect experience moderates the relationship between perceived ease of use and perceived usefulness.

The current study mainly tested the antecedents of consumers’ usage of IOT systems, and the outcome of using the system was not investigated. Future research can examine the outcome (e.g. satisfaction, perceived value) by using the expectation-confirmation theory.

This study provides a useful insight into the key driving factors in consumers’ intention and behavior of using IOT systems. The previous studies over IOT systems have not observed consumers’ perception of IOT systems, but in fact IOT systems are being applied to more and more personal users.

The purpose of this paper is to investigate the oxidation behavior of Ti‐48Al‐8Cr‐2Ag (at.%) at 900°C and 1000°C for various different times.

Laboratory tests were performed to determine growth process of the oxide scale at 900°C and 1000°C for various different times with SEM/EDX, XRD and TEM.

Merely Al2O3 occurred on the Laves phase at the initial stage at 900°C, while a mixture of Al2O3+TiO2 formed at the initial stage at 1000°C. Oxidation rate of the alloy at 900°C after long‐term oxidation was higher than that at 1000°C because a dense Al2O3 scale formed on the surface at 1000°C.

The paper shows that the oxidation behavior of TiAl alloy at initial stage is the basis of the revealing mechanism of oxidation. It is necessary to further investigate the oxidation of Ti‐Al‐Cr‐Ag alloy in more detail to clearly understand its oxidation process and growth process of the oxide scale.

Although proactive fault handling plans are widely spread, many unexpected data center outages still occurred. To rescue the jobs from faulty data centers, the authors propose a novel independent job rescheduling strategy for cloud resilience to reschedule the task from the faulty data center to other working-proper cloud data centers, by jointly considering job nature, timeline scenario and overall cloud performance.

A job parsing system and a priority assignment system are developed to identify the eligible time slots for the jobs and prioritize the jobs, respectively. A dynamic job rescheduling algorithm is proposed.

The simulation results show that our proposed approach has better cloud resiliency and load balancing performance than the HEFT series approaches.

This paper contributes to the cloud resilience by developing a novel job prioritizing, task rescheduling and timeline allocation method when facing faults.

The purpose of this paper is to understand how two online marketing orientations of land-based retailers in product category and price could change retail brand attitude when retail brand familiarities differ.

This paper proposes a research model with two orientations in product category and price as antecedents of retail brand attitude change and retail brand familiarity as a moderator. Empirical data were collected from 684 shoppers across three land-based retailers to test the research hypotheses.

Both orientations in product category and price can improve customers’ retail brand attitudes. Retail brand familiarity plays a significant moderator in some of the situations. Online-offline product category congruence and online-prototypical price congruence have significantly positive effects on retail brand attitude change whether retail brand familiarity is high or low. The effect of online-offline price congruence is significant only among high-familiarity customers, while the effect of online-prototypical product category congruence is found to be significant only among low-familiarity customers.

The study identifies the moderating effects of retail brand familiarity on the relationships between two online marketing orientations in product category and price and retail brand attitude change. Based on the moderating effects, this study will help researchers to better understand the effectiveness of two online marketing orientations subject to varying degrees of retail brand familiarity in a multichannel retailing context.

The findings of this study can guide land-based retailers to focus on the right orientations in product category and price to improve customers’ attitudes toward the retail brand when existing or new customers are targeted.

This study provides a first study to empirically assess the change in retail brand attitude prompted by homogenous and prototypical orientations in product category and price and subject to varying degrees of retail brand familiarity. Overall, the results offer insights of how land-based retailers could manage their overall performance by designing more effective online product category and pricing strategies for existing or new customers.