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Data integration is to combine data residing at different sources and to provide the users with a unified interface of these data. An important issue on data integration is the existence of conflicts among the different data sources. Data sources may conflict with each other at data level, which is defined as data inconsistency. The purpose of this paper is to aim at this problem and propose a solution for data inconsistency in data integration.

A relational data model extended with data source quality criteria is first defined. Then based on the proposed data model, a data inconsistency solution strategy is provided. To accomplish the strategy, fuzzy multi-attribute decision-making (MADM) approach based on data source quality criteria is applied to obtain the results. Finally, users feedbacks strategies are proposed to optimize the result of fuzzy MADM approach as the final data inconsistent solution.

To evaluate the proposed method, the data obtained from the sensors are extracted. Some experiments are designed and performed to explain the effectiveness of the proposed strategy. The results substantiate that the solution has a better performance than the other methods on correctness, time cost and stability indicators.

Since the inconsistent data collected from the sensors are pervasive, the proposed method can solve this problem and correct the wrong choice to some extent.

In this paper, for the first time the authors study the effect of users feedbacks on integration results aiming at the inconsistent data.

The purpose of this paper is make a significant contribution to the supply chain knowledge system through research on modern supply chain system in China, providing guidance for theoretical research such as methodology of dynamic resource allocation and application of innovative small- and middle-sized service system in the supply chain.

The paper uses structural analysis of Chinese competitive advantage, and it applies comparative analysis of supply chain models in China, the USA and Japan through the factor disintegration of trading environment.

China’s supply chain model has virtual scale and virtual capabilities. The relationship with suppliers is more dynamic. The requirements for resolving uncertainty are higher. Business transfer is more frequent.

Researchers are encouraged to propose the specific supply chain models in China further with the game theory, auction theory, etc.

It provides advice for government policy making and gives Chinese enterprises guidance to improve operation management.

This paper specifically analyzes characteristics of China supply chain and gives enlightenment for supply chain innovation.

In the context of fixed-wing aircraft wing assembly, there is a need for a rapid and precise measurement technique to determine the center distance between two double-hole components. This paper aims to propose an optical-based spatial point distance measurement technique using the spatial triangulation method. The purpose of this paper is to design a specialized measurement system, specifically a spherically mounted retroreflector nest (SMR nest), equipped with two laser displacement sensors and a rotary encoder as the core to achieve accurate distance measurements between the double holes.

To develop an efficient and accurate measurement system, the paper uses a combination of laser displacement sensors and a rotary encoder within the SMR nest. The system is designed, implemented and tested to meet the requirements of precise distance measurement. Software and hardware components have been developed and integrated for validation.

The optical-based distance measurement system achieves high precision at 0.04 mm and repeatability at 0.02 mm within a range of 412.084 mm to 1,590.591 mm. These results validate its suitability for efficient assembly processes, eliminating repetitive errors in aircraft wing assembly.

This paper proposes an optical-based spatial point distance measurement technique, as well as a unique design of a SMR nest and the introduction of two novel calibration techniques, all of which are validated by the developed software and hardware platform.

Although perceived risk and usefulness have been identified as two major factors that influence consumer acceptance of an innovative mobile payment (m-payment), relatively few researchers have explored the impact of affective factors on perceived risk and usefulness, and the relationship between perceived risk and usefulness. Also, it is unclear whether there is a difference in the acceptance intention among users across different diffusion stages of this innovation. The purpose of this paper is to investigate the role of positive emotion in consumer acceptance of WeChat payment across time.

This study proposed and validated a framework integrating the consumer response system model and the affect heuristic. A total of 484 valid responses were collected through two online surveys at two diffusion stages of WeChat payment technology. The structural equation modeling and multigroup analysis were used to test the hypotheses.

The results show that users’ acceptance intention is relatively related to perceived risk, perceived usefulness, and positive emotion. Positive emotion has a strong negative impact on perceived risk and a positive impact on perceived usefulness. Also, perceived usefulness strongly decreases users’ perception of risk. Multigroup analyses find that both positive emotion and perceived risk have significant positive and negative impacts on acceptance intention at the stage of market introduction rather than market growth. Rather, the influence of positive usefulness on acceptance intention is significantly higher at the stage of market growth than at market introduction.

This study indicates that exploring the role of positive emotion and the moderating effect of diffusion stages in m-payment acceptance provides a more comprehensive understanding of how to achieve a greater acceptance rate of an innovative m-payment.

The majority of knowledge management theory and practice literature is based on, and relates to, western and Japanese business environments and related assumptions. A number of generic knowledge management cross sectional studies based on Chinese organizations have taken place; however there is a lack of in‐depth critical studies which are culturally grounded and which focus on a particular aspect or domain of knowledge management in Chinese organizations, as opposed to applying western or Japanese knowledge management models and concepts. Hence the paper seeks to make a contribution by carrying out a critical study in knowledge sharing within Chinese organizations that explores the role of culture in relation to the knowledge‐sharing process, where the people‐based aspects of knowledge sharing are likely to be influenced by the prevailing culture. The aim of the paper is to explore the role of knowledge sharing at multiple organizational levels within Chinese service‐based organizations.

Five consulting firms are analyzed within the multi case study, to explore knowledge sharing at multiple levels, where existing literature and preliminary research has shown that consulting organizations in the service sector are more likely to have advanced their understanding of knowledge sharing as a source of innovation and competitiveness. The research methods included interviews (n=40), focus groups (n=10) and observations made during four visits, each of several weeks, to the companies. The five organizations were Chinese owned and at a similar growth stage and hence the effects of external cultures or organizational specific cultures were secondary to that of the prevailing Chinese culture.

The findings show that cultural interpretations of knowledge sharing practices can help in explaining Chinese conceptions and applications of knowledge sharing at multiple organizational levels. Moreover these cultural influences suggest that non‐Chinese conceptions of knowledge sharing can in some circumstances result in misleading approaches being used in attempting to promote knowledge sharing in a Chinese context and that the strong group culture is a key vehicle for knowledge sharing as opposed to individual idea generation.

The findings show the need for further research in comparing Chinese and western organizations in relation to collaboration knowledge sharing where the case organizations have had different levels of exposure to western culture. Much more in‐depth case‐based research is needed to explore these contextual issues and to develop theoretical propositions.

The extrapolation of western and Japanese‐based knowledge sharing concepts and practices to Chinese contexts without an examination of Chinese culture and its impact on organizational culture may produce sub‐optimal results. A more culturally grounded approach, where knowledge sharing practices are indigenously grounded, is suggested.

There is a paucity of multi‐level knowledge sharing studies which seek to both address cultural considerations and systematically inquire into the development of knowledge sharing in Chinese organizations from a cultural perspective. The findings from this study can help inform western‐Chinese business collaboration through improved understanding of the cultural effects on knowledge sharing.

The purpose of this paper is to apply the social cognitive theory and social learning theory to examine the different mechanisms through which entrepreneurs’ moral awareness and ethical behavior affect the product innovation of new ventures.

The authors collected survey data from 150 founders and 389 founding team members of new ventures in China in 2015. The final sample contained 113 questionnaires from entrepreneurs and 246 questionnaires from their founding team members. Regression analyses were used to test direct effects, and Preacher and Hayes’ (2004) formal mediation test approach with bootstrapping method was used to evaluate the mediation effects.

The findings indicate that the ethical levels of entrepreneurs can affect the product innovation of a new venture through two paths: entrepreneurs with low levels of moral awareness tend to be more individually creative, which facilitates product innovation, and entrepreneurs with high levels of ethical behavior can make founding teams more creative, which also promotes product innovation.

The findings of this study suggest that entrepreneurs are not negatively affected by their low moral awareness as long as they exhibit high ethical behavior with founding team members. But such low moral awareness has to be genuine. The best way to promote product innovation in the long run is to create an organizational culture of ethical behavior rather than to ignore moral issues in decision-making.

This study challenges the assumption that moral awareness and ethical behavior are always consistent. It takes an initial step to resolve the contradiction in the current literature regarding the relationship between the ethical levels of entrepreneurs and product innovation in the context of founders and founding teams in new ventures.

Enterprise resource planning (ERP) consultants have the expertise required to understand the specific contextual needs of an ERP client, implement tailored business processes that meet those needs, and ensure that no potential benefit offered by the ERP remains unexplored by the client. However, conflicts between ERP clients and consultants are a significant source of non-benefit realisation, making managing client–consultant agency crucial to ERP post-implementation benefits realisation. This paper aims to elucidate how managing client–consultant agency affects the benefits derived from ERP systems.

This paper uses microfinance institutions in 15 sub-Saharan African countries to explore different paths through which managing client–consultant agency leads to benefit realisation in ERP projects. It uses partial least squares structural equation modelling to analyse data from 127 managers and explains the results using insights from agency theory and the information system (IS) success model.

This paper reveals three routes through which contractual agreements and conflict resolution strategies lead to benefits realisation in ERP projects.

This is the first study that attempts to provide quantitative evidence of how managing the complex relationship between ERP project stakeholders affects ERP project success. It also contributes a novel theoretical model for ERP benefits realisation to complement existing research on ERP agency issues, critical success factors, and benefits realisation.

Despite the various benefits of social networking services (SNSs), users have begun to experience fatigue in recent years, as evidenced by a decline in active user numbers. This relatively new phenomenon has only recently received significant managerial and academic attention. The antecedents of SNS fatigue are still unclear in the literature. The purpose of this paper is to identify the key factors causing SNS fatigue, based on a socio-technical approach.

The authors empirically tested this research model with 424 SNS users via an online survey. Structural equation modeling with partial least squares was used to analyze the data.

The results showed that the social factors of social comparison, social interaction overload, social surveillance and social information overload, and the technical factor of system complexity are significantly related to SNS fatigue.

This research benefits SNS providers by allowing them to better understand how to effectively design social networking platforms to retain and attract more users. It also benefits users by providing guidance on how to actively manage their own behavior to avoid potential negative outcomes induced by SNS usage.

This study focuses on the “dark side” of SNS from the perspective of fatigue, extending existing research on technostress. It also extends the applicability of the socio-technical approach to the phenomenon of SNS fatigue. Moreover, it enriches SNS fatigue research by addressing the importance of both social and technical factors in causing SNS fatigue.

Dashang refers to a reward given voluntarily to street performers in return for their performance. Some social media platforms have created a way to integrate this as a function, referred to as the dashang feature, to allow users to reward live performers online as well. Over the last few years, this function has become extremely popular among social media users, as it recreates the nostalgic experience of watching street performances. Platforms now consider it indispensable, as it has become a source of substantial revenue (commission on rewards earned by performers). However, not all users reward performers. For each user who pays, there are many more who lurk on the platform. This study examines the reasons for these differences using the Big Five personality perspective and justice theory.

We develop an empirical model using the Big Five theory and justice theory and test it using empirical data collected through a survey of WeChat users.

The results indicate that distributive justice, interpersonal justice and informational justice are essential factors in relation to social media users' use of the dashang feature. It is also found that personality type affects these three factors.

This study makes three key contributions. First, it examines the factors that influence users' voluntary use of the dashang feature using the lenses of the Big Five theory and justice theory. Second, this study extends previous results on perceived justice to examine use of the dashang feature in social media. Third, this study applies these theories to the study of consumer behavior by exploring the role of user characteristics in social media use.