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This paper investigates the paths through which innovation community affects content providers' new service development (NSD) performance in technology-based service ecosystem and contingency factors exist in the paths.

The research model is built based on service-dominant (S-D) logic, exploring the relationship among innovation community, content providers' knowledge acquisition and content providers' NSD performance as well as the moderating role of content providers' technology readiness and content providers' complexity. Using survey data collected from 386 content providers of selected open network platforms in China, this study finds broad support for the proposed research model.

The findings of this paper reveal that content providers' tacit knowledge acquisition from users plays a mediating role between the innovation community and new service ratings. Content providers' technology readiness plays a positive moderating role in the relationship between innovation community and their explicit or tacit knowledge acquisition. Content providers' task complexity negatively moderates the effects of their explicit knowledge acquisition from users on new service volumes or ratings, but positively moderates the effects of tacit knowledge acquisition from users on new service volumes or ratings.

Though extant literature highlights the importance of knowledge acquisition in NSD performance, few studies explore the antecedents of content providers' knowledge acquisition from users and the paths through which these antecedents affect content providers' NSD performance. Moreover, boundary conditions exist in the process of improving NSD performance are generally ignored in previous literature. With the lens of S-D logic, this paper explicates how content providers of different technology readiness and different task complexity enhance their new service volumes and ratings through acquiring explicit and tacit knowledge from users in innovation community. Adopting S-D logic from marketing area to NSD area, this paper not only enriches the theoretical accumulations of antecedents and boundary conditions of content providers' NSD performance but also offers insights for content providers and users on how to synergistically advance NSD activities and co-create value in the technology-based service ecosystem.

Existing calibration methods mainly focus on the camera laser-plane calibration of a single laser-line length, which is not convenient and cannot guarantee the consistency of the results when several three-dimensional (3D) scanners are involved. Thus, this study aims to provide a unified step for different laser-line length calibration requirements for laser profile measurement (LPM) systems.

3D LPM is the process of converting physical objects into 3D digital models, wherein camera laser-plane calibration is critical for ensuring system precision. However, conventional calibration methods for 3D LPM typically use a calibration target to calibrate the system for a single laser-line length, which needs multiple calibration patterns and makes the procedure complicated. In this paper, a unified calibration method was proposed to automatically calibrate the camera laser-plane parameters for the LPM systems with different laser-line lengths. The authors designed an elaborate planar calibration target with different-sized rings that mounted on a motorized linear platform to calculate the laser-plane parameters of the LPM systems. Then, the camera coordinates of the control points are obtained using the intersection line between the laser line and the planar target. With a new proposed error correction model, the errors caused by hardware assembly can be corrected. To validate the proposed method, three LPM devices with different laser-line lengths are used to verify the proposed system. Experimental results show that the proposed method can calibrate the LPM systems with different laser-line lengths conveniently with standard steps.

The repeatability and accuracy of the proposed calibration prototypes were evaluated with high-precision workpieces. The experiments have shown that the proposed method is highly adaptive and can automatically calibrate the LPM system with different laser-line lengths with high accuracy.

In the repeatability experiments, there were errors in the measured heights of the test workpieces, and this is because the laser emitter had the best working distance and laser-line length.

By using this proposed method and device, the calibration of the 3D scanning laser device can be done in an automatic way.

The calibration efficiency of a laser camera device is increased.

The authors proposed a unified calibration method for LPM systems with different laser-line lengths that consist of a motorized linear joint and a calibration target with elaborately designed ring patterns; the authors realized the automatic parameter calibration.

Urban spatial form influences the social, economic, and ecological development modes of the city. The spatial form during the urbanization of Hanjiang River Basin in Southern Shaanxi needs to be studied. In this study, research methodologies on urban spatial form in China and abroad were summarized. The concept of ecology background was applied, and the research framework for urban spatial form, which integrated the background, framework, core, axis, cluster, and skin, was established. Valley cities in the Hanjiang River Basin in Southern Shaanxi were classified into wide valley, narrow valley, and canyon cities. The spatial form characteristics of these three types of valley cities were discussed. A case study based on a typical city-Yang County-was conducted to discuss the characteristics of the aforementioned six elements of urban spatial form. Finally, spatial form characteristics were summarized. These characteristics provide a basis for the study of the small valley urban spatial form in the Hanjiang River Basin in Southern Shaanxi.

Power amplifiers (PAs) play an important role in wireless communications because they dominate system performance. High-linearity broadband PAs are of great value for potential use in multi-band system implementation. The purpose of this paper is to present a cascode power amplifier architecture to achieve high power and high efficiency requirements for 4.2∼5.4 GHz applications.

A common emitter (CE) configuration with a stacked common base configuration of heterojunction bipolar transistor (HBT) is used to achieve high power. T-type matching network is used as input matching network. To increase the bandwidth, the output matching networks are implemented using the two L-networks.

By using the proposed method, the stacked PA demonstrates a maximum saturated output power of 26.2 dBm, a compact chip size of 1.17 × 0.59 mm² and a maximum power-added efficiency of 46.3 per cent. The PA shows a wideband small signal gain with less than 3 dB variation over working frequency. The saturated output power of the proposed PA is higher than 25 dBm between 4.2 and 5.4 GHz.

The technology adopted for the design of the 4.2-to-5.4 GHz stacked PA is the 2-µm gallium arsenide HBT process. Based on the proposed method, a better power performance of 3 dB improvement can be achieved as compared with the conventional CE or common-source amplifier because of high output stacking impedance.

The influence of road surface temperature (RST) on vehicles is becoming more and more obvious. Accurate predication of RST is distinctly meaningful. At present, however, the prediction accuracy of RST is not satisfied with physical methods or statistical learning methods. To find an effective prediction method, this paper selects five representative algorithms to predict the road surface temperature separately.

Multiple linear regressions, least absolute shrinkage and selection operator, random forest and gradient boosting regression tree (GBRT) and neural network are chosen to be representative predictors.

The experimental results show that for temperature data set of this experiment, the prediction effect of GBRT in the ensemble algorithm is the best compared with the other four algorithms.

This paper compares different kinds of machine learning algorithms, observes the road surface temperature data from different angles, and finds the most suitable prediction method.

This paper aims to find out how business aligns with robotic process automation (RPA) and whether the alignment has the same factors as for IT–business alignment.

Condition configurations for positive and negative impact for business alignment with RPA.

The positive and negative configurations that possibly impact business alignment with RPA.

There are some human instincts during conditions dichotomization and limited number of cases.

The findings can be used to guide practice application in real industry.

This paper adopted crisp-set qualitative comparative analysis to find condition configurations for alignment of business and RPA for more generalization.

Scholarly research on food waste is growing, but it tends to focus on households in general. The purpose of this paper is to explore the attitudes of green consumers towards food waste, reasons for wasting edible food and acceptance of policy actions that could help address the food waste challenge.

Based on a quantitative survey of 346 respondents, frequency distributions, cross tabulations and non-parametric tests were performed.

This study finds that there is inconsistency between attitudes and behaviours. Green consumers, including those who value organic food and vegetarianism, waste quite a lot of edible food. Food is thrown away mainly due to spoilage, short shelf life, being forgotten in the fridge and eating outside the home. Hence, consumers, even those with the best of intentions, face behavioural constraints when it comes to reducing food waste. A surprising finding is that some consumers lack awareness of the environmental burden posed by food waste. Several policy measures to reduce food waste are acceptable to the respondents

Reliance on self-reported data for food waste.

The research identifies actions that local governments could undertake to reduce consumer-related food waste. An environmental awareness campaign targeting green consumers could correct information deficits.

The focus on the green segment has practical implications for reducing the economic and environmental burden of food waste

This paper aims to study and modify the notch equivalent stress method, as well as to establish the notch equivalent stress range S–N curve and apply it to the fatigue assessment of engineering examples.

This paper studies the notch equivalent stress method and puts forward the concept of “singular equivalent crack”. Combined with the fatigue test results, by proposing to consider the singular coefficient of the transition angle of the welded structure and the introduction of material correction factors, this paper derives the notch equivalent stress equation for commonly used welded joints applicable to steel, and finally establishes the notch equivalent stress range of the S–N curve.

The obtained results show that the dispersion of fatigue data is 65.6 and 75.4% for T-joints and transverse cross-joints, respectively, under S–N curves using notched equivalent stress compared to the nominal stress range. The fatigue evaluation error of the modified notch equivalent stress equation for transverse cross welded joints improved by 50.65%, 53.1 and 39.6% on average, respectively, compared to the original other methods. The fatigue evaluation error for T-joints improved by 13.4 and 13.9%, respectively, compared to the original other methods.

There are relatively few studies on the fatigue assessment of notch equivalent stress method. In this paper, the notch equivalent stress method is studied and modified to improve the accuracy of fatigue assessment of welded structures with singular stresses.

This study aims to reveal the potential dark side of servant leadership by exploring its differential impact on followers with varying degrees of Machiavellianism and to uncover the role of leader negative feedback as an intervention mechanism in attenuating this negative impact.

A three-wave survey with one-month intervals was conducted with 344 participants from different industries.

The results suggest that servant leadership triggered psychological entitlement among followers with high Machiavellianism, leading to organizational and interpersonal deviance, but only when negative feedback from the leader was weak.

When leaders implement servant leadership, they should beware of breeding psychological entitlement among highly Machiavellian followers, as this can activate their deviant behavior, and should make full use of negative feedback as an intervention mechanism.

This study is one of the first to use the self-evaluation perspective to examine the negative impact of servant leadership on follower behavior via attitude and to explore boundary conditions to overcome this effect.

Due to the conflicts between left turn traffic and opposite straight-going traffic in urban traffic network, some of the traffic lanes cannot be used to discharge vehicles during its green phases and the intersection capacity can be greatly reduced. This study/paper aims to reduce the effect of conflicts and increase its capacity through the reasonable pre-signal phase time with the exchangeable lanes.

This paper took into consideration various influence factors to intersection capacity and formulated the capacity optimization model based on 0-1 mixed-integer programming model. This model is efficiently solved by standard branch-and-bound algorithms.

The authors took an intersection as an example and solved the optimal signal timing and entrance lane capacity via this model. Then, simulations were carried out to verify the effect of the exchangeable lanes strategy of this intersection through the simulation software VISSIM and take the traffic volume and delay as outputs, which indicated that this model has better performance.

The front-end control strategy can not only exploit the full potential of the intersection but also significantly improve the operational efficiency of the intersection. It plays a positive role in improving urban intersection congestion.