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Article
Publication date: 8 May 2017

Tingting Zhang, William Yu Chung Wang and David J. Pauleen

This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for…

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Abstract

Purpose

This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not.

Design/methodology/approach

This study is based on an event study using data from two stock markets in China.

Findings

The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along.

Research limitations/implications

This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets.

Originality/value

Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.

Details

Journal of Knowledge Management, vol. 21 no. 3
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 10 April 2020

Linh Nguyen Khanh Duong, Lincoln C. Wood and William Yu Chung Wang

This research proposes a decision framework for using non-financial measures to define a replenishment policy for perishable health products. These products are perishable…

Abstract

Purpose

This research proposes a decision framework for using non-financial measures to define a replenishment policy for perishable health products. These products are perishable and substitutable by nature and create complexities for managing inventory. Instead of a financial measure, numerous measures should be considered and balanced to meet business objectives and enhance inventory management.

Design/methodology/approach

This research applies a multi-methodological approach and develops a framework that integrates discrete event simulation (DES), analytic hierarchy process (AHP) and data envelopment analysis (DEA) techniques to define the most favourable replenishment policy using non-financial measures.

Findings

The integration framework performs well as illustrated in the numerical example; outcomes from the framework are comparable to those generated using a traditional, financial measures-based, approach. This research demonstrates that it is feasible to adopt non-financial performance measures to define a replenishment policy and evaluate performance.

Originality/value

The framework, thus, prioritises non-financial measures and addresses issues of lacking information sharing and employee involvement to enhance hospitals' performance while minimising costs. The non-financial measures improve cross-functional communication while supporting simpler transformations from high-level strategies to daily operational targets.

Details

Industrial Management & Data Systems, vol. 120 no. 5
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 6 February 2019

Tingting Zhang, William Yu Chung Wang, Ling Cao and Yan Wang

Online shopping has continued to grow in popularity, and the advance of internet technology has enhanced customers’ experiences. One technology online retailers have been…

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Abstract

Purpose

Online shopping has continued to grow in popularity, and the advance of internet technology has enhanced customers’ experiences. One technology online retailers have been using to increase sales is virtual try-on (VTO). The purpose of this paper is to investigate how such technology affects online consumers’ purchase decision process towards purchase intention, especially from an integration of utilitarian, hedonic and risk perspectives, by using advanced partial least square (PLS) approaches.

Design/methodology/approach

This study applied a web-based survey approach for data collection from online apparel retailing websites. The survey instrument was developed by adapting previously validated measurement items. The valid data collected were analysed using PLS with multi-group analyses. Advanced PLS techniques such as examination of discriminant validity using heterotrait-monotrait ratio, tests of out-of-sample prediction performance, and measurement invariance of composite models were applied.

Findings

The results of examining the proposed model reveal that customers’ attitude towards VTO technology can affect their intention to purchase a garment online, which is affected by perceived usefulness, perceived enjoyment and perceived privacy risk. Perceived ease of use is found to affect perceived usefulness and perceived helpfulness. The results also show no significant differences among age groups and genders in terms of the role of VTO technology in the full decision process towards online purchase intention.

Originality/value

This study enhances the understanding of the roles that VTO technology plays in consumers’ online purchase intention by providing an integrative view of its utilitarian value, hedonic value and risk. This study demonstrates the feasibility of applying advanced PLS techniques to investigate online consumer behaviour, particularly in the field of VTO application in online retailing. Implications for online retailers and designers of VTO technology are also derived from the findings.

Article
Publication date: 28 March 2022

Philip Hong Wei Jiang and William Yu Chung Wang

The purpose of this paper is to explain how enterprise resource planning (ERP) implementation evolves by cloud computing in different industries with different delivery…

Abstract

Purpose

The purpose of this paper is to explain how enterprise resource planning (ERP) implementation evolves by cloud computing in different industries with different delivery models of cloud ERP. This paper also investigates infrastructure as a service (IaaS) as a delivery approach for cloud ERP. Case research on IaaS is rarely found in the literature. In addition, this paper intends to reveal how this transformation from on-premises to the cloud would influence the ERP implementation process.

Design/methodology/approach

A multiple-case study is conducted to identify the different deployed models of cloud ERP systems in the implementation projects. The influences of emerging cloud computing technology on ERP implementation are investigated by interviewing consultants related to the projects.

Findings

The findings illustrate that not only software as a service (SaaS) but also IaaS and platform as a service cloud computing services are widely applied in cloud ERP implementation. This study also indicates that certain technical limitations of cloud ERP might have a positive effect on the outcome of ERP implementation.

Originality/value

This study investigates how cloud computing influences ERP implementation from different aspects. The result identifies both SaaS and IaaS as two different approaches widely adopted in cloud ERP implementation. Besides, this study has discussed in-depth and analyzed these two cloud ERP paradigms in five factors, including functionality, performance, portability, security, cost and customization. The classification and suggestions are original to the literature.

Details

VINE Journal of Information and Knowledge Management Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2059-5891

Keywords

Article
Publication date: 20 September 2021

Madurapperumage Erandathi, William Yu Chung Wang and Chih-Chia Hsieh

This study aims to use financial stability and health facilities of countries, to cluster them for making a more consensus environment for manifesting the status of…

Abstract

Purpose

This study aims to use financial stability and health facilities of countries, to cluster them for making a more consensus environment for manifesting the status of Covid-19 in a justifiable manner. The scarcity of the categorisation of the countries of the world in a common platform, and the requirement of manifesting the pandemic status such as Covid-19 in a justifiable manner create the demanding requirement. This study mainly focusses on assisting to generate a liable manifesto to criticise the span of viral infection of the severe acute respiratory syndrome coronavirus-2 over the globe.

Design/methodology/approach

Data for this study has been gathered from official websites of the World Bank, and the world in data. The Louvain clustering method has been used to cluster the countries based on their financial strength and health facilities. The resulted clusters are visualised using Silhouette plots. The anomalies of the clusters had been used to quantify the pandemic situation. The status of Covid-19 has been manifested with the time series analysis through python programming.

Findings

The countries of the world have been clustered into seven, where developed countries divided into three clusters and the countries with transition economies and developing clustered together into four clusters. The time series analysis of recognised anomalies of the clusters assist to monitor the government responses and analyse the efficiency of used safety measures against the pandemic.

Originality/value

This study’s resulted clusters are highly valuable as a division of countries of the whole world for evaluating the health systems and for the regional levels. Further, the results of time series analysis are beneficial in monitoring the government responses and analysing the efficiency of used safety measures against the pandemic.

Details

Information Discovery and Delivery, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-6247

Keywords

Article
Publication date: 21 June 2019

Tingting Zhang, William Yu Chung Wang and Angsana A. Techatassanasoontorn

The purpose of this study is to investigate the motivational process underlying users’ intention to provide feedback on user-contributed knowledge in professional online…

Abstract

Purpose

The purpose of this study is to investigate the motivational process underlying users’ intention to provide feedback on user-contributed knowledge in professional online communities. User feedback can serve as a means of indicating the credibility of the online content, which can help community members in their knowledge-seeking process. Adopting such a user feedback mechanism is beneficial for users to identify relevant and credible content efficiently and for an online community to sustain itself.

Design/methodology/approach

Drawing on self-determination theory, an integrated model is proposed. In this model, behavioural intention is defined as the consequence of motivational orientations whose antecedences include various social factors. The model is empirically tested using survey data collected online and the structural equation modelling techniques.

Findings

The results show that users’ intention to provide feedback is primarily influenced by autonomous motivation. Autonomous motivation is in turn affected by social factors, including reciprocity, online reputation, trust in the user involvement mechanisms and affective and normative community commitments.

Originality/value

This study adds value to prior studies by stressing the significance and feasibility of user feedback in helping members of professional online communities with their knowledge-seeking process. It also contributes to the literature on user participation in these communities by showing the efficacy of a motivational process perspective and the role of motivational orientations, in particular, in explaining users’ behavioural intention.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 49 no. 3
Type: Research Article
ISSN: 2059-5891

Keywords

Article
Publication date: 1 July 2005

Michael S.H. Heng, Yu Chung William Wang and Xianghua He

The purpose of this research note is to investigate the implications of supply chain management of e‐business for the macroeconomic phenomenon of business cycles.

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Abstract

Purpose

The purpose of this research note is to investigate the implications of supply chain management of e‐business for the macroeconomic phenomenon of business cycles.

Design/methodology/approach

The paper provides a list of propositions, which form the broad basis of an empirical research agenda, to explore and investigate the mechanisms through which supply chain innovations can influence business cycle.

Findings

Economic research literature has pointed out that there are linkages between inventory investment and business cycle fluctuation. Given that the e‐business supply chain management drastically alters inventory investment across a range of industries, it is likely to affect the behaviour of economic fluctuation.

Originality/value

This research has the potential to contribute to a better‐informed formulation of economic policies at national and global level.

Details

Supply Chain Management: An International Journal, vol. 10 no. 3
Type: Research Article
ISSN: 1359-8546

Keywords

Article
Publication date: 3 August 2015

Cunlu Zhang, Angappa Gunasekaran and William Yu Chung Wang

Extant research on supply chain integration defines integration in different ways, and mainly discusses a limited number of integration elements. The purpose of this paper…

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Abstract

Purpose

Extant research on supply chain integration defines integration in different ways, and mainly discusses a limited number of integration elements. The purpose of this paper is to develop a conceptual integration model which consists of comprehensive elements that are important to academic research and industrial practices.

Design/methodology/approach

Key literature survey with drawing threads of existing practices together for developing a systematic referential model and then verify the model with a real case.

Findings

Developed a model consisting of integration elements residing at the strategic, managerial, operational, and fundamental levels (bottom line). Based on the benefit alignment, the total integration requires supply chain partners to integrate resource flows (material, information, knowledge, and finance), processes and organization, planning and control activities and strategy.

Research limitations/implications

The research is based on secondary data and a case study illustration. Further empirical research is required.

Practical implications

The normative model can guide managers to integrate resources and activities in their efforts for an effective supply chain management. It supplements the Supply Chain Operations Reference Model developed by the Supply Chain Council with an interface description, which may guide the development of information systems for supply chain integration.

Originality/value

The comprehensive model provides a more inclusive and integrated perspective of supply chain integration. It is expected that the consensus of supply chain integration could be achievable based on this model. The conceptual framework will assist the researchers to determine integration variables of supply chain.

Details

Benchmarking: An International Journal, vol. 22 no. 6
Type: Research Article
ISSN: 1463-5771

Keywords

Book part
Publication date: 10 December 2015

Chun Kit Lok

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption…

Abstract

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

Details

E-services Adoption: Processes by Firms in Developing Nations
Type: Book
ISBN: 978-1-78560-709-7

Keywords

Book part
Publication date: 15 July 2009

Inju Yang and Aidan Kelly

Korean organizations’ attempts to transplant home management practices directly to their overseas operations have not been received positively by foreign staff; the…

Abstract

Korean organizations’ attempts to transplant home management practices directly to their overseas operations have not been received positively by foreign staff; the application of hierarchical Confucianist management principles has led to high reliance on expatriates in Korean overseas operations and failed integration with both local staff and local markets in host country. In this conceptual chapter, we examine the significance of strong informal social ties (based on the unique social psychology of jeong, woori and nunchi) as cultural control in the Korean workplace and develop this as a novel explanation for Korean management discomfort in overseas settings. Promotion of weak social ties with local staff is suggested as more appropriate for achieving goals of exploring local expertise and knowledge.

Details

Advances in Global Leadership
Type: Book
ISBN: 978-1-84855-256-2

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