Search results

The purpose of this paper is to find the event memory characteristics hidden in trade data.

First, historical trade data are analyzed to define the events described by multi‐dimensional characteristic variables. The variables containing information are employed to build the event description patterns. Furthermore, a search engine is developed for calendar events, which can search for events in historical data and produce a collection of events. The search engine also extracts relevant system reaction phenomena described by trend distribution for each event pattern. Finally, both event patterns and system reactions construct the episodic memory model.

The event patterns and the system reactions are used to define the episodic memory model. The search methods for the episodic memory model obtained from trade data set are given.

Accessibility and availability of data are the main limitations affecting where the method can be applied.

The method is helpful for traders when judging the current trade situation from historical memory.

The paper presents a new episodic memory modeling method based on trade data.

This paper aims to provide a new drilling entry board for printed circuit board (PCB) process, superior in heat dissipation, lubrication, water solubility and hole location accuracy, achieving an excellent drilling process.

Using a mixture of polyethylene glycol (PEG) and water-soluble adhesives as hydrosoluble, endothermic and lubricant resins and aluminum foils as baseplates, a series of coated and aluminous entry boards (CABs) for PCB drilling was successfully prepared. The surface appearance of the entry boards was observed clearly by scanning electron microscopy (SEM). The endothermic and lubricant effects of the resins applied on the CABs was characterized by differential scanning calorimetry (DSC) and their water solubility was tested in the normal-temperature water (25°C). Moreover, the CABs’ good drilling properties were tested when they were used for PCB drilling.

The SEM analysis showed that the surfaces of the resin layers coated on the CABs whose coating thicknesses were less than 80 μm were smoother and flatter, which could improve hole location accuracy and reduce drill breakage ratio. By virtue of DSC, the endothermic and lubricant effects of the CABs were proven. The fusion of PEG in the resin layers could absorb the heat produced by drilling, restrain the temperature of the drill bit and hole rising and lubricate the drill bit efficiently when a hole was being drilled, which could achieve high-quality holes with good production efficiency. The water-soluble test showed that the prepared CABs had excellent water solubility at normal temperature, enabling the resin left on the hole walls and in the flute of the drill bit to be washed away easily and thereby improving the drilling efficiency and quality. The drilling tests showed that the increase in the thickness of the CABs’ coating could improve the hole location accuracy and alleviate the bit wear. In addition, the suitable coating thickness could ensure the firm adhering of the resin coating the aluminum foil, effectively avoid drill intertwist and prevent the resin debris from blocking the drilled holes on the surface of the entry board, which could hinder chip removal, resulting in poor hole wall quality and drill breakage.

This paper has a remarkably high industrial practicality in the PCB manufacture process.

This paper aims to present an open-architecture kinematic controller, which was developed for articulated robots, facing the demands of various applications and low cost on robot system.

A general approach to develop this controller is described in hardware and software design. The hardware consists of embedded boards and programable multi-axes controller (PMAC), connected with ethernet, and the software is implemented on a robot operating system with MoveIt!. The authors also developed a teach pendant running as a LAN node to provide a human–machine interface (HMI).

The proposed approach was applied to several real articulated robot systems and was proved to be effective and portable. The proposed controller was compared with several similar systems to verify its integrality and flexibility. The openness of this controller was discussed and is summarized at the end of this paper.

The proposed approach provided an open and low-complex solution for experimental studies in the lab and short-run production in small workshops.

Several contributions are made by the research. The actuation model and communication were implemented to integrate the trajectory planning module and PMAC for setting up the physical interface. Method and program interface based on kinematics was provided to generate various interpolations for trajectory planning. A teach pedant with HMI was developed for controlling and programing the robot.

The construction of digital supply chains to integrate internal and external resources is becoming an important path for manufacturing enterprises to gain competitiveness. However, at present, research on the internal mechanisms of digital supply chain capabilities (DSCC) and enterprise sustainable competitive performance (ESCP) has not been sufficiently studied. Based on contextual ambidexterity theory, this study investigates whether DSCC could enable the realization of supply chain ambidexterity and further explains the mediating role of supply chain ambidexterity on DSCC and ESCP, and the boundary conditions of supply chain governance on supply chain ambidexterity and ESCP.

With a survey data set of 232 Chinese manufacturing enterprises from different industries, the study empirically tests a moderated mediating model and conducts hierarchical linear modeling and bootstrap to test the study's hypotheses.

The results demonstrate that: (1) DSCC positively enhance ESCP; (2) supply chain ambidexterity, which can be regarded as a synergic ability of supply chain alignment and adaptability, partially mediates the positive relationship between DSCC and ESCP; and (3) supply chain governance such as incentive governance positively moderates the association between supply chain ambidexterity and ESCP, but there is no evidence that relational governance moderates their relationship.

This paper proposes a new interpretive perspective to understand digital supply chains. More importantly, it reveals the importance of DSCC in contributing toward supply chain ambidexterity and ESCP, and demonstrates the differential regulating action of incentive and relational governance on the association between supply chain ambidexterity and ESCP, with implications for both academics and practitioners.

The purpose of this paper is to develop digital flexible pre-assembly tooling system for fuselage panels.

First, the paper analyzes the technological characteristics of fuselage panels and then determines the pre-assembly object. Second, the pre-assembly positioning method and assembly process are researched. Third, the panel components pre-assembly flexible tooling scheme is constructed. Finally, the pre-assembly flexible tooling system is designed and manufactured.

This study shows the novel solution results in significantly smaller tooling dimensions, while providing greater stability. Digital flexible assembly is an effective way to reduce floor space, reduce delivery and production lead times and improve quality.

The tooling designed in this case is actually used in industrial application. The flexible tooling can realize the pre-assembly for a number of fuselage panels, which is shown as an example in this paper.

The paper suggests the fuselage panel pre-assembly process based on the thought including pre-assembly, the automatic drilling and riveting and jointing, and constructs a flexible tooling system for aircraft fuselage panel component pre-assembly.

This research uses a multifaceted approach to develop an MPA/MPP curriculum to support a data science track within the existing MPA/MPP programs by identifying the core and elective areas needed.

The approach includes (1) identifying a suitable structure for MPA/MPP programs which can allow the program to develop its capacity to train students with the data science and general public administration skills to solve public policy problems and leave explicit space for local experimentation and modification; (2) defining bridging modules and required modules for the MPA/MPP programs; and (3) developing of data science track thought to make suggestions for the inclusion of suitable data science modules into the data science track and benchmarking the data science modules suggested with the best practices developed by other professional bodies. The authors review 46 NASPAA-accredited MPA/MPP programs from 40 (or 22.7%) schools to identify the suitable required modules and some potential data science and analytics courses that MPA/MPP programs currently provide as electives.

The proposal includes a three-course (six–nine credits, not counted in the program but as prerequisites) bridging module, a nine-course (27 credits) required module and a five-course (15 credits) data science track/concentration.

This work can provide a starting point for the public administration education community to develop graduate programs focusing on data science to cater to the needs of both public managers and society at large.

The construction sector must accept new ways of working if it is to remain competitive and meet the demands of its ever-demanding clients in the twenty-first century. Many people believe that collaborative working is required for design and construction teams to comprehend the complete construction process life cycle. Collaboration among project participants has gained a lot of attention in the field of construction management in recent years. The claim that cooperation promotes project success is supported by a number of case studies. The goal of this study is to see if facilitating collaboration is a good indicator of long-term construction. Effective cooperation, on the other hand, is now recognised as having an impact on project performance in terms of project success and delivery.

State-owned enterprises (SOEs) play an immense role throughout the world. Historically lacking in innovativeness, SOEs are now compelled to be more innovative. This study aims to explore the innovative tendencies of SOEs and non-SOEs as they strive to be preferred suppliers to their key accounts. This study also examines the effects of top management involvement (TMI) and customer knowledge utilization on suppliers’ tendencies to provide innovative solutions to key customers. In addition, this study examines the moderating effects of state ownership on these relationships.

Following institutional theory and dynamic capabilities logic to guide expectations, this study collected survey responses from 185 managers at SOEs and non-SOEs in Beijing, Shanghai, Guangzhou and Shenzhen in China. Using partial least squares structural equation modeling, this study examined main and moderating effects of variables on innovation.

Results indicate that state ownership does not have a significant effect on innovation, suggesting Chinese SOEs may no longer be innovation-disadvantaged vis-à-vis non-SOEs. In addition, both TMI and customer knowledge utilization have positive effects on innovation. The hypothesized magnifying effect of state ownership on TMI’s main effect is not present. Data support our expectation that state ownership amplifies the positive effect of customer knowledge utilization on innovation.

Our research provides evidence that China’s SOEs are closing the competitive gap in innovation and mechanisms for this occurrence. The relatively small sample from limited geographies necessitates research in more regions of China. Also, research should investigate not just the ownership type of suppliers, but also of buyers.

This study offers unique insights into factors affecting the innovative tendencies of Chinese SOEs and non-SOEs. Until now, little research has addressed what practices SOEs use to provide more innovative solutions to customers.

This paper aims to examine the effect of increases in alliance portfolio cultural diversity (IAPCD) on a firm’s performance and how portfolio configuration characteristics moderate this effect, aiming to enable managers to make better partner choice and portfolio configuration decisions to improve performance.

The sample includes 2,326 focal firms from 93 countries that formed 7,616 alliances between the years 1992 and 2006. This study uses generalized method of moments estimation to examine the effects of portfolio changes on next year’s firm sales performance.

Results reveal an inverted-U relationship between IAPCD and firm performance. Data limitations led to examining moderating effects only on the upslope portion of the inverted-U, indicating that an increasing percentage of joint ventures in a firm’s alliance portfolio strengthens IAPCD’s contribution to performance. Further, increased numbers of marketing alliances or research and development alliances and increased percentage of horizontal alliances in an alliance portfolio have a negative moderating effect.

The sample mostly covers large companies. The data indicate that nearly all firms are on the upslope of an inverted-U IAPCD–to–performance relationship, allowing testing of moderating effects pre-inflection point only.

Firms can leverage the additions of culturally diverse partners toward improved performance through astute configuration decisions in alliance portfolio composition.

This paper uses the knowledge-based view to contribute to the alliance portfolio literature. This study asserts that capacity constraints affect firms’ ability to realize performance gains when taking on culturally diverse partners, an effect moderated by portfolio configurations. This paper tests hypothesis with longitudinal data.

This paper empirically investigates how cultural variations in individualism and tightness affected the containment of COVID-19 using data from 54 nations during a 30-day period of government intervention.

The authors utilized the hierarchical regression approach to check the effects of three cultural variables – the individualism measure, taken from Hofstede’s six-dimension national culture index, and the measure of cultural tightness, based on the three tightness–looseness indexes calculated by Irem Uz (2015) and their interaction – on the changes in the prevalence rate (ΔPR) and crude mortality rate (ΔCMR) and case fatality rate (CFR) while controlling for the stringency of government responses to COVID-19, median age and population density.

Significant relationships were found between cultural variables and national performance in slowing the spread of the coronavirus, measured by ΔPR, ΔCMR and CFR. After controlling for the stringency of government responses, median age and population density, the authors found that cultural tightness and individualism as well as their interactions remain to be pivotal. Loose and individualistic cultures led to faster increases in PR and CMR and higher CFR. A four-quadrant conceptual framework is developed to categorize and discuss the national differences.

The paper integrated two constructs – cultural tightness–looseness and individualism–collectivism – to form a theoretical lens to guide the authors’ analyses while using the real-time COVID-19 data as a natural experiment for theorizing and testing. This study’s findings have significant policy implications in government responses, strategic planning, cultural adaptability and policy implementations for the world’s continuous battle against the pandemic.