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Article
Publication date: 21 March 2019

Nianxin Wang, Huigang Liang, Shilun Ge, Yajiong Xue and Jing Ma

The purpose of this paper is to understand what inhibit or facilitate cloud computing (CC) assimilation.

Abstract

Purpose

The purpose of this paper is to understand what inhibit or facilitate cloud computing (CC) assimilation.

Design/methodology/approach

The authors investigate the effects of two enablers, top management support (TMS) and government support (GS), and two inhibitors, organization inertia (OI) and data security risk (DSR) on CC assimilation. The authors posit that enablers and inhibitors influence CC assimilation separately and interactively. The research model is empirically tested by using the field survey data from 376 Chinese firms.

Findings

Both TMS and GS positively and DSR negatively influence CC assimilation. OI negatively moderates the TMS–assimilation link, and DSR negatively moderates the GS–assimilation link.

Research limitations/implications

The results indicate that enablers and inhibitors influence CC assimilation in both separate and joint manners, suggesting that CC assimilation is a much more complex process and demands new knowledge to be learned.

Practical implications

For these firms with a high level of OI, only TMS is not enough, and top managers should find other effective way to successfully implement structural and behavioral change in the process of CC assimilation. For policy makers, they should actively play their supportive roles in CC assimilation.

Originality/value

A new framework is developed to identify key drivers of CC assimilation along two bipolar dimensions including enabling vs inhibiting and internal vs external.

Details

Internet Research, vol. 29 no. 6
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 6 August 2020

Niu-Jing Ma, Li-Xiong Gu, Long Piao and Xing-Zhi Zhang

Stiffened plates have been widely used in civil, marine, aerospace engineering. As a kind of thin-walled structure operating in complex environment, stiffened plates…

Abstract

Purpose

Stiffened plates have been widely used in civil, marine, aerospace engineering. As a kind of thin-walled structure operating in complex environment, stiffened plates mostly undergo a variety of dynamic loads, which may sometimes result in large-amplitude vibration. Additionally, initial stresses and geometric imperfections are widespread in this type of structure. Furthermore, it is universally known that initial stresses and geometric imperfections may affect mechanical behavior of structures severely, particularly in dynamic analysis. Thus, the purpose of this paper is to study the stress variation rule of a stiffened plate during large-amplitude vibration considering initial stresses and geometric imperfections.

Design/methodology/approach

The initial stresses are represented in the form of initial bending moments applying to the stiffened plate, while the initial geometric imperfections are considered by means of trigonometric series, and they are assumed existing in the plate along the z-direction exclusively. Then, the dynamic equilibrium equations of the stiffened plate are established using Lagrange’s equation as well as aforementioned conditions. The nonlinear differential equations of motion are simplified as a two-degree-of-freedom system by considering 1:2 and 1:3 internal resonances, respectively, and the multiscale method is applied to solve the equations.

Findings

The influence of initial stresses on the plate, stresses during internal resonance is remarkable, while that is moderate for initial geometric imperfections. (Upon considering the existence of initial stresses or geometric imperfections, the stresses of motivated modes are less than the primary mode for both and internal resonances). The influence of bidirectional initial stresses on the plate’s stresses during internal resonance is more remarkable than that of unidirectional initial stresses. The coupled vibration in 1%3A2 internal resonance is fiercer than that in internal resonance.

Originality/value

Stiffened plates are widely used in engineering structures. However, as a type of thin-walled structure, stiffened plates vibrate with large amplitude in most cases owning to their complicated operation circumstance. In addition, stiffened plates usually contain initial stresses and geometric imperfections, which may result in the variation of their mechanical behavior, especially dynamical behavior. Based on the above consideration, this paper studies the nonlinear dynamical behavior of stiffened plates with initial stresses and geometrical imperfections under different internal resonances, which is the originality of this work. Furthermore, the research findings can provide references for engineering design and application.

Details

Engineering Computations, vol. 38 no. 2
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 29 July 2020

Irene Cheng Chu Chan, Jing Ma, Rob Law, Dimitrios Buhalis and Richard Hatter

This paper aims to investigate the temporal dynamics of users browsing activity on a hotel website in order to derive effective marketing strategies and constantly improve…

Abstract

Purpose

This paper aims to investigate the temporal dynamics of users browsing activity on a hotel website in order to derive effective marketing strategies and constantly improve website effectiveness. Users' activities on the hotel's website on yearly, monthly, daily and hourly basis are examined and compared, demonstrating the power of informatics and data analytics.

Design/methodology/approach

A total of 29,976 hourly Weblog files from 1 August 2014 to 31 December 2017 were collected from a luxury hotel in Hong Kong. ANOVA and post-hoc comparisons were used to analyse the data.

Findings

Users' browsing behaviours, particularly stickiness, on the hotel website differ on yearly, monthly, daily and weekly bases. Users' activities increased steadily from 2014 to 2016, but dropped in 2017. Users are most active from July to September, on weekdays, and from noon to evening time. The month-, day-, and hour-based behaviours changed through years. The analysis of big data determines strategic and operational management and marketing decision-making.

Research limitations/implications

Understanding the usage patterns of their websites allow organisations to make a range of strategic, marketing, pricing and distribution decisions to optimise their performance. Fluctuation of website usage and level of customer engagement have implications on customer support and services, as well as strategic partnership decisions.

Originality/value

Leveraging the power of big data analytics, this paper adds to the existing literature by performing a comprehensive analysis on the temporal dynamics of users' online browsing behaviours.

Details

Industrial Management & Data Systems, vol. 121 no. 6
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 14 October 2022

Meng Xiao, Nian Cai, Zhuokun Mo, Shule Yan, Nili Tian, Jing Ma and Han Wang

Statistical modeling has been successfully applied to integrated circuit (IC) solder joint inspection. However, there are some inherent problems in previous statistical…

Abstract

Purpose

Statistical modeling has been successfully applied to integrated circuit (IC) solder joint inspection. However, there are some inherent problems in previous statistical modeling methods. This paper aims to propose an adaptive statistical modeling method to further improve the inspection performance for IC solder joints.

Design/methodology/approach

First, different pixels in the IC solder joint image were modeled by different templates, each of which was composed of the hue value of the pixel and a proposed template significance factor. Then, the potential defect image was obtained by adaptive template matching and the potential defect threshold for each pixel. It was noted that the number of templates, matching distance threshold, potential defect threshold and updating rate were adaptively updated during model training. Finally, the trained statistical model was used to inspect the IC solder joints by means of defect degree.

Findings

Experimental results indicated that the proposed adaptive schemes greatly contributed to the inspection performance of statistical modeling. Also, the proposed inspection method achieved better performance compared with some state-of-the-art inspection methods.

Originality/value

The proposed method offers a promising approach for IC solder joint inspection, which establishes different numbers of templates constructed by pixel values and template significance factors for different pixels. Also, some important parameters were adaptively updated with the updating of the model, which contributed to the inspection performance of the model.

Details

Soldering & Surface Mount Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0954-0911

Keywords

Article
Publication date: 22 April 2022

Yongcong Luo, Jianzhuang Zheng and Jing Ma

The focus of industrial cluster innovation lies in the cooperation between enterprises and universities/scientific research institutes to make a theoretical breakthrough…

Abstract

Purpose

The focus of industrial cluster innovation lies in the cooperation between enterprises and universities/scientific research institutes to make a theoretical breakthrough in the system and mechanism of industrial cluster network. Under the theoretical framework of cluster network, industrial structure can be optimized and upgraded, and enterprise benefit can be improved. Facing the increasing proliferation and multi-structured enterprise data, how to obtain potential and high-quality innovation features will determine the ability of industrial cluster network innovation, as well as the paper aims to discuss these issues.

Design/methodology/approach

Based on complex network theory and machine learning method, this paper constructs the structure of “three-layer coupling network” (TLCN), predicts the innovation features of industrial clusters and focuses on the theoretical basis of industrial cluster network innovation model. This paper comprehensively uses intelligent information processing technologies such as network parameters and neural network to predict and analyze the industrial cluster data.

Findings

From the analysis of the experimental results, the authors obtain five innovative features (policy strength, cooperation, research and development investment, centrality and geographical position) that help to improve the ability of industrial clusters, and give corresponding optimization strategy suggestions according to the result analysis.

Originality/value

Building a TLCN structure of industrial clusters. Exploring the innovation features of industrial clusters. Establishing the analysis paradigm of machine learning method to predict the innovation features of industrial clusters.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 7 November 2016

Jing Ma and Shuo Liu

The purpose of this paper is to examine whether the institutions play a role in tourism development and international recognition, specifically the influence of…

Abstract

Purpose

The purpose of this paper is to examine whether the institutions play a role in tourism development and international recognition, specifically the influence of marketization on the international tourists’ inbound arrivals in different Chinese provinces.

Design/methodology/approach

This paper constructs a demand model of tourism and empirically analyzes the relationship between marketization and inbound tourism demand with the panel data of the provinces of China and NERI Index of Marketization.

Findings

Marketization does have an influence on inbound tourism demand of China. Specially, the relationship between government and market, the development of product market, the market intermediary organizations and the legal system environment can increase the demand of the foreign tourists to visit China, although the magnitudes are different.

Practical implications

This paper argues that the qualities of marketization intuitions are important in increasing inbound tourism, given that it can bring better tourism experience and improve the international recognition. Strengthening the legislation and protecting the legitimate rights and interests of consumers can attract more international travelers to China. Market distribution of competitive economic resources, reducing political intervention into corporate activities and relieving tax burdens of enterprises can improve the competitiveness and the service qualities of Chinese domestic tourism firms.

Originality/value

This paper leads the discussions of institutions and tourism. It combines the consumer theory and uses static and dynamic panel data models to analyze the influencing factors of Chinese tourism. It argues that Chinese inbound tourism shall develop with the systemic marketization progress in China.

Details

Nankai Business Review International, vol. 7 no. 4
Type: Research Article
ISSN: 2040-8749

Keywords

Article
Publication date: 15 August 2018

Kangning Wei, Yuzhu Li, Yong Zha and Jing Ma

The purpose of this paper is to compare the relative impacts of trust and risk on individual’s transaction intention in consumer-to-consumer (C2C) e-marketplaces from both…

2048

Abstract

Purpose

The purpose of this paper is to compare the relative impacts of trust and risk on individual’s transaction intention in consumer-to-consumer (C2C) e-marketplaces from both the buyers’ and the sellers’ perspectives.

Design/methodology/approach

Two surveys were used to collect data regarding buyers’ and sellers’ perceptions and transaction intentions at a typical C2C e-marketplace. Partial least squares was used to analyze the data. A complementary qualitative study was conducted to triangulate the results from the quantitative study.

Findings

Institution-based trust (IBT) exerts a stronger influence on transaction intentions for buyers than for sellers. Sellers perceive a stronger impact of trust in intermediary (TII) than buyers on transaction intentions. The impacts of perceived risk in transactions are not different between buyers and sellers. Furthermore, IBT mediates the impacts of TII and perceived risk on transaction intentions for buyers.

Research limitations/implications

The results indicate that the impacts of trust and risk on transaction intention in e-marketplaces do differ between buyers and sellers. This suggests a need to further investigate the buyer–seller difference in online transactions.

Practical implications

Intermediaries need to focus on different types of trust-building mechanisms when attracting buyers and sellers to make transactions in the e-marketplace.

Originality/value

C2C e-marketplaces cannot survive without participation from both buyers and sellers. Most prior research is conducted from the buyers’ perspective. This research sets a starting point for future research to further explore the differences between buyers’ and sellers’ behavior in C2C e-commerce environments.

Details

Industrial Management & Data Systems, vol. 119 no. 2
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 10 July 2019

Haeik Park, Sheryl Fried Kline, Jooho Kim, Barbara Almanza and Jing Ma

This study aims to strengthen implications about hotel cleaning outcomes by comparing guests’ perception of the amount of contact they have with cleanliness of hotel surfaces.

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Abstract

Purpose

This study aims to strengthen implications about hotel cleaning outcomes by comparing guests’ perception of the amount of contact they have with cleanliness of hotel surfaces.

Design/methodology/approach

This study used two data-collection methods, a survey and an adenosine triphosphate (ATP) test. Data were collected from recent hotel guests using Amazon Mechanical Turk. Guests were asked to identify hotel surfaces that they touch most frequently. Actual hotel cleanliness was measured using empirical data collected with ATP meters. The two data sets were used to compare guests’ perceptions about the amount of contact they have with actual cleanliness measurements of those hotel surfaces.

Findings

This study found that amount of guest contact was related to cleanliness of surfaces in guestrooms. Significant differences were found in guest perception between high- and low-touch areas and between guestrooms and hotel public areas. More high-touch areas and higher ATP readings were found in guestrooms than in hotel public areas.

Originality/value

To the best of the authors’ knowledge this study is the first to compare guest contact with hotel surfaces to a scientific measure of hotel cleanliness. In addition, this study is unique because it assesses guest contact and cleanliness of public areas to provide a holistic view of hotel-cleaning needs. The study offers industry empirically based results from guest perception and scientifically based data that can be used to improve hotel housekeeping programs.

Details

International Journal of Contemporary Hospitality Management, vol. 31 no. 7
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 21 January 2021

Tony J. Kim, Barbara Almanza, Jing Ma, Haeik Park and Sheryl F. Kline

This study aims to empirically assess restaurant surfaces’ cleanliness and compare them to customers’ perceptions about the cleanliness of surfaces when dining in a restaurant.

Abstract

Purpose

This study aims to empirically assess restaurant surfaces’ cleanliness and compare them to customers’ perceptions about the cleanliness of surfaces when dining in a restaurant.

Design/methodology/approach

This study used two methods to collect data. The first was a survey method to gauge customers’ perceptions and an empirical test to measure cleanliness using an adenosine triphosphate (ATP) meter. Two data sets were collected to compare customers’ perceptions and actual cleanliness measurements. One data set surveyed respondents as to their perceptions of high- and low-touch restaurant surfaces among 19 areas of the dining room and 15 surfaces from the restroom, and their perceived cleanliness or dirtiness of those same surfaces. The second one conducted empirical measurements of the cleanliness of these surfaces using an ATP meter, which were then compared to customers’ perceptions.

Findings

Although all surfaces had higher ATP readings than a 30 relative light units’ threshold, there were significant differences in ATP readings among surfaces. Results showed a fair amount of consistency between the consumers’ perceptions of cleanliness and the actual results of ATP readings for the cleanest areas, but very little consistency in customers’ perceptions and experimental measurements for the dirtiest areas.

Practical implications

This study empirically demonstrated the need for improved cleaning techniques and the importance of proper training for foodservice employees. Especially during the COVID-19 pandemic, results of this study suggest an additional responsibility on managers and staff to ensure clean environments and the imperative to address the concerns of their customers.

Originality/value

Based on an extensive literature review, to the best of the authors’ knowledge, no prior studies have compared consumers’ cleanliness perceptions with empirical measurements of cleanliness in restaurant settings using an ATP meter. The results of this study provide restaurant managers a better understanding of customers’ perceptions of cleanliness. It also provides restaurant managers and staff information to develop more effective cleaning procedures. In the context of the COVID-19 pandemic, perceptions of cleanliness and measures of actual cleanliness are more important than they have been in the past.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 3
Type: Research Article
ISSN: 0959-6119

Keywords

Content available
Article
Publication date: 10 April 2009

Jin Chen and Jing Guo

652

Abstract

Details

The Electronic Library, vol. 27 no. 2
Type: Research Article
ISSN: 0264-0473

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