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Article
Publication date: 9 January 2017

Dipankar Rai, Chien-Wei (Wilson) Lin and Chun-Ming Yang

This paper aims to investigate how the perception of physical coldness (vs warmth) influences consumers to make charitable donations.

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1044

Abstract

Purpose

This paper aims to investigate how the perception of physical coldness (vs warmth) influences consumers to make charitable donations.

Design/methodology/approach

Three experiments were conducted involving charitable donation scenarios.

Findings

Studies demonstrate that cold (vs warm) temperature cues result in greater intentions to donate to charities. Specifically, cold (vs warmth) cues activate the need for social connection which, in turn, motivate consumers to donate more money to charities. Furthermore, this effect holds even when the actual temperature instead of temperature cues is changed, and participants’ actual donation behavior instead of donation intentions is measured, thereby, strengthening the findings of this paper.

Research limitations/implications

Boundary conditions associated with the effect of temperature cues need empirical investigation. Future research needs to investigate if the effect holds with variability of coldness. Future research also needs to determine whether the documented effect occur across various pro-social contexts.

Practical implications

The results suggest that non-profit organizations incorporate “cold” cues into advertisements (people feeling cold or cold landscapes) to increase monetary donations and that these organizations should focus on targeting donors during wintertime (vs summer time) to get more donations.

Originality/value

This is the first research to demonstrate the effects of temperature cues on charitable donations. The added value of this paper is the use of physical temperature change to highlight the phenomenon, and the link between cold (vs warm) temperature cue and the need of social connection.

Details

Journal of Consumer Marketing, vol. 34 no. 1
Type: Research Article
ISSN: 0736-3761

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Article
Publication date: 11 April 2016

Tzu-Yi Kao, Ming-Hsien Yang, Ji-Tsung Ben Wu and Ya-Yun Cheng

This study aims to develop a process model to facilitate enterprises’ co-creating value with consumers through social media.

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8557

Abstract

Purpose

This study aims to develop a process model to facilitate enterprises’ co-creating value with consumers through social media.

Design/methodology/approach

Drawing on the concepts of internet-based co-creation and collective action theory, this study outlines a five-stage model (Interact-Engage-Propose-Act-Realize, IEPAR) of utilizing social media to co-create with consumers, enriches the model through in-depth interviews with industry experts and briefly illustrates how it can be applied in practice using a service firm case.

Findings

This study clarifies the co-creation process in the social media environment. For each of the process’s five stages, the objectives to be accomplished by the social media operator and the means to complete the objectives are illustrated.

Research limitations/implications

This study illustrated the proposed model with a representative service firm. Future study may refine the model by gathering additional data from real implementations to improve its effectiveness in practice.

Practical implications

This study suggests how an enterprise can construct a consumer co-creation platform from a managerial perspective. The proposed model can serve as a reference that enterprises can implement to increase customer value through co-creation using social media.

Originality/value

Enterprises have begun to notice the power of serving as a platform for co-creating value with consumers. However, it is seldom related to literature. The proposed model of the co-creation process in the social media environment can supplement past research.

Details

Journal of Services Marketing, vol. 30 no. 2
Type: Research Article
ISSN: 0887-6045

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Article
Publication date: 4 June 2018

Sung-Shun Weng, Ming-Hsien Yang and Pei-I Hsiao

An important issue for researchers and managers of organizations is the understanding of user-perceived values of collective intelligence (UPVoCI) in online social…

Abstract

Purpose

An important issue for researchers and managers of organizations is the understanding of user-perceived values of collective intelligence (UPVoCI) in online social networks (OSNs) with the purpose of helping organizations identify the values that cause internet users and members of OSNs to share information and knowledge during they participate in collective intelligence (co-intelligence) activities. However, the development of measurement instruments and predictive models and rules for predicting UPVoCI are inadequate. The paper aims to discuss these issues.

Design/methodology/approach

A novel measurement scale was developed to measure UPVoCI using a user-oriented research strategy that is based on qualitative and quantitative research methods. This work also identified critical indicators and constructed predictive models and rules for forecasting UPVoCI by multivariate statistical methods and data mining.

Findings

A 17-item scale of UPVoCI was developed and 17 measurement items were associated with two major dimensions, which are the user-perceived social value of co-intelligence and the user-perceived problem-solving value of co-intelligence. Ten critical indicators of UPVoCI that are important in predicting UPVoCI and 12 rules for predicting UPVoCI were identified and a refined model for predicting UPVoCI was constructed.

Research limitations/implications

The results in this work allow organizations to determine the perceived value of members of OSNs and the benefits of their participating in co-intelligence activities, as a basis for adjusting user-oriented online co-intelligence and service strategies with the goal of improving collaborative innovation performance.

Originality/value

This work systematically developed a novel scale for measuring UPVoCI in OSNs and constructed new models and rules for predicting UPVoCI in OSNs.

Details

Internet Research, vol. 28 no. 3
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 5 February 2018

Mengru Tu, Ming K. Lim and Ming-Fang Yang

The purpose of this paper is threefold: to present internet of things (IoT)-based cyber-physical system (CPS) architecture framework to facilitate the integration of IoT…

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2746

Abstract

Purpose

The purpose of this paper is threefold: to present internet of things (IoT)-based cyber-physical system (CPS) architecture framework to facilitate the integration of IoT and CPS; to implement an IoT-based CPS prototype based on the architecture framework for a PL application scenario of in a case study; and to devise evaluation methods and conduct experimental evaluations on an IoT-based CPS prototype.

Design/methodology/approach

The design research method, case study, emulation experiment method, and cost-benefit analysis are applied in this research. An IoT-based CPS architecture framework is proposed, and followed by the development of prototype system and testbed platform. Then, the emulation and experimental evaluation of IoT-based CPS are conducted on the testbed, and the experimental results are analyzed.

Findings

The emulation experiment results show that the proposed IoT-based CPS outperforms current barcode-based system regarding labor cost, efficiency, and operational adaptiveness. The evaluation of the IoT-based CPS prototype indicates significant improvements in PL tasks and reduced part inventory under a dynamic changing shop-floor environment.

Practical implications

The case study shows that the proposed architecture framework and prototype system can be applied to many discrete manufacturing industries, such as automobile, airplane, bicycle, home appliance, and electronics.

Originality/value

The proposed IoT-based CPS is among the first to address the need to integrate IoT and CPS for PL applications, and to conduct experimental evaluations and cost-benefit analysis of adopting IoT-based CPS for PL. This paper also contributes to the IoT research by using diverse research methods to offer broader insights into understanding IoT and CPS.

Details

Industrial Management & Data Systems, vol. 118 no. 1
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 5 February 2018

Mengru Tu, Ming K. Lim and Ming-Fang Yang

The lack of reference architecture for Internet of Things (IoT) modeling impedes the successful design and implementation of an IoT-based production logistics and supply…

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3789

Abstract

Purpose

The lack of reference architecture for Internet of Things (IoT) modeling impedes the successful design and implementation of an IoT-based production logistics and supply chain system (PLSCS). The authors present this study in two parts to address this research issue. Part A proposes a unified IoT modeling framework to model the dynamics of distributed IoT processes, IoT devices, and IoT objects. The models of the framework can be leveraged to support the implementation architecture of an IoT-based PLSCS. The second part (Part B) of this study extends the discussion of implementation architecture proposed in Part A. Part B presents an IoT-based cyber-physical system framework and evaluates its performance. The paper aims to discuss this issue.

Design/methodology/approach

This paper adopts a design research approach, using ontology, process analysis, and Petri net modeling scheme to support IoT system modeling.

Findings

The proposed IoT system-modeling approach reduces the complexity of system development and increases system portability for IoT-based PLSCS. The IoT design models generated from the modeling can also be transformed to implementation logic.

Practical implications

The proposed IoT system-modeling framework and the implementation architecture can be used to develop an IoT-based PLSCS in the real industrial setting. The proposed modeling methods can be applied to many discrete manufacturing industries.

Originality/value

The IoT modeling framework developed in this study is the first in this field which decomposes IoT system design into ontology-, process-, and object-modeling layers. A novel implementation architecture also proposed to transform above IoT system design models into implementation logic. The developed prototype system can track product and different parts of the same product along a manufacturing supply chain.

Details

Industrial Management & Data Systems, vol. 118 no. 1
Type: Research Article
ISSN: 0263-5577

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Book part
Publication date: 10 July 2019

Tarek Ladjal and Tayeb Brahimi

The nature of the relationship between the Arabs and China in its historical and current dimensions raises the issue of compatibility and coexistence and the possibility…

Abstract

The nature of the relationship between the Arabs and China in its historical and current dimensions raises the issue of compatibility and coexistence and the possibility of its continuity among nations and cultures. During the fifteenth-century-period, in which Arab–Chinese relations developed, a model of coexistence and harmony between the two civilizations and cultures emerged, which is rare to find in the history of relations between societies and countries. In this chapter, the researchers attempt to return to history to discuss the forms of the development of peaceful relations between China and Arab societies, and the cultural and psychological motives that led to the normalization of political relations in a pattern of mutual respect and peaceful cooperation on many common issues, which still continue to affect positively the relations between China and the Arab world nowadays. The study found that the nature of the eastern mentality of both parties and the positive stereotypes that each side has about the other long time ago have contributed decisively to shaping these relations in the subsequent centuries.

Details

The New Silk Road Leads through the Arab Peninsula: Mastering Global Business and Innovation
Type: Book
ISBN: 978-1-78756-680-4

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Article
Publication date: 23 September 2021

Ryuichi Kobayashi, Takashi Kigure and Ming Yang

This paper aims to describe a new process for suppressing the formation of orange peel, which is a polymer laser sintering (LS) process error.

Abstract

Purpose

This paper aims to describe a new process for suppressing the formation of orange peel, which is a polymer laser sintering (LS) process error.

Design/methodology/approach

The target for controlling the suppression of orange peel is securing the contact between the molten polymer and the surrounding powder. The authors set the powder bed temperature closer to the melting temperature than that for a typical LS. Alternatively, the authors use a low-power laser to irradiate the powder bed surrounding the parts being built. The surface finish of the built parts was evaluated using a three-dimensional scanner.

Findings

Both approaches were effective in suppressing orange peel. From the viewpoint of reusability of the used powder, the process that includes low-power laser irradiation is practical. The presence or absence of contact between the surrounding powder and the molten polymer determines whether the orange peel is formed.

Research limitations/implications

The authors have not tested orange peel suppression for complex shapes.

Originality/value

The authors have demonstrated a concrete process that can suppress orange peel formation even for powders with low melt-flow rates. Furthermore, a mechanism for the formation/suppression of orange peel based on the experimental results was proposed.

Details

Rapid Prototyping Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-2546

Keywords

Content available
Article
Publication date: 12 September 2016

Yang-Ming Chang, Thomas R. Sadler and Shane Sanders

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415

Abstract

Details

Managerial Finance, vol. 42 no. 9
Type: Research Article
ISSN: 0307-4358

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Article
Publication date: 4 January 2022

Xiang Li, Ming Yang, Hongguang Ma and Kaitao (Stella) Yu

Travel time at inter-stops is a set of important parameters in bus timetabling, which is usually assumed to be normal (log-normal) random variable in literature. With the…

Abstract

Purpose

Travel time at inter-stops is a set of important parameters in bus timetabling, which is usually assumed to be normal (log-normal) random variable in literature. With the development of digital technology and big data analytics ability in the bus industry, practitioners prefer to generate deterministic travel time based on the on-board GPS data under maximum probability rule and mean value rule, which simplifies the optimization procedure, but performs poorly in the timetabling practice due to the loss of uncertain nature on travel time. The purpose of this study is to propose a GPS-data-driven bus timetabling approach with consideration of the spatial-temporal characteristic of travel time.

Design/methodology/approach

The authors illustrate that the real-life on-board GPS data does not support the hypothesis of normal (log-normal) distribution on travel time at inter-stops, thereby formulating the travel time as a scenario-based spatial-temporal matrix, where K-means clustering approach is utilized to identify the scenarios of spatial-temporal travel time from daily observation data. A scenario-based robust timetabling model is finally proposed to maximize the expected profit of the bus carrier. The authors introduce a set of binary variables to transform the robust model into an integer linear programming model, and speed up the solving process by solution space compression, such that the optimal timetable can be well solved by CPLEX.

Findings

Case studies based on the Beijing bus line 628 are given to demonstrate the efficiency of the proposed methodology. The results illustrate that: (1) the scenario-based robust model could increase the expected profits by 15.8% compared with the maximum probability model; (2) the scenario-based robust model could increase the expected profit by 30.74% compared with the mean value model; (3) the solution space compression approach could effectively shorten the computing time by 97%.

Originality/value

This study proposes a scenario-based robust bus timetabling approach driven by GPS data, which significantly improves the practicality and optimality of timetable, and proves the importance of big data analytics in improving public transport operations management.

Details

Industrial Management & Data Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 1 November 2021

Jun Zhu, Shuaihui Li, Xiangwei Guo, Huaichun Nan and Ming Yang

This paper aims to study the relationship between leakage flux coefficient and the coreless axial magnetic field permanent magnet synchronous generator (AFPMSG) size and…

Abstract

Purpose

This paper aims to study the relationship between leakage flux coefficient and the coreless axial magnetic field permanent magnet synchronous generator (AFPMSG) size and obtain the expressions of leakage flux coefficient.

Design/methodology/approach

In this paper, a magnetic circuit model of coreless AFPMSG is proposed. Four kinds of leakage permeances of permanent magnet (PM) are considered, and the expression of no-load leakage flux coefficient is obtained. Solving the integral region of leakage permeances by generator size, which improves the accuracy of the solution.

Findings

Finite element method and magnetic circuit method are used to obtain the no-load leakage flux coefficient and its variation trend charts with the change of pole arc coefficient, air gap length and PM thickness. The average errors of the two methods are 2.835%, 0.84% and 1.347%, respectively. At the same time, the results of single-phase electromotive force obtained by magnetic circuit method, three dimensional finite element method and prototype experiments are 19.36 V, 18.82 V and 19.09 V, respectively. The results show that the magnetic circuit method is correct in calculating the no-load leakage flux coefficient.

Originality/value

The special structure of the coreless AFPMSG is considered in the presented equivalent magnetic circuit and equations, and the equations in this paper can be applied for leakage flux evaluating purposes and initial parameter selection of the coreless AFPMSG.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering , vol. 41 no. 1
Type: Research Article
ISSN: 0332-1649

Keywords

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