Xiaodie Pu, Alain Yee Loong Chong, Zhao Cai, Ming K. Lim and Kim Hua Tan
The purpose of this paper is to understand the value creation mechanisms of open-standard inter-organizational information system (OSIOS), which is a key technology to achieve…
Abstract
Purpose
The purpose of this paper is to understand the value creation mechanisms of open-standard inter-organizational information system (OSIOS), which is a key technology to achieve Industry 4.0. Specifically, this study investigates how the internal assimilation and external diffusion of OSIOS help manufactures facilitate process adaptability and alignment in supply chain network.
Design/methodology/approach
A survey instrument was designed and administrated to collect data for this research. Using three-stage least squares estimation, the authors empirically tested a number of hypothesized relationships based on a sample of 308 manufacturing firms in China.
Findings
The results of the study show that OSIOS can perform as value creation mechanisms to enable process adaptability and alignment. In addition, the impact of OSIOS internal assimilation is inversely U-shaped where the positive effect on process adaptability will become negative after an extremum point is reached.
Originality/value
This study contributes to the existing literature by providing insights on how OSIOS can improve supply chain integration and thus promote the achievement of industry 4.0. By revealing a U-shaped relationship between OSIOS assimilation and process adaptability, this study fills previous research gap by advancing the understanding on the value creation mechanisms of information systems deployment.
Details
Keywords
Fangfang Hou, Boying Li, Zhengzhi Guan, Alain Yee Loong Chong and Chee Wei Phang
Despite the burgeoning popularity of virtual gifting in live streaming, research lacks an in-depth understanding of the drivers behind this behavior. Using para-social…
Abstract
Purpose
Despite the burgeoning popularity of virtual gifting in live streaming, research lacks an in-depth understanding of the drivers behind this behavior. Using para-social relationship (PSR), this study aims to capture viewers’ lively social feelings toward the streamer as the key factor leading to the purchase behavior of virtual gifts. It also aims to establish a theoretical link between PSR and viewers’ holistic experience in live streaming as captured by cognitive absorption and aims to investigates the role of technological features (i.e. viewer–streamer and viewer–viewer interactivity, streamer-level and viewer-level deep profiling and design aesthetics) in shaping viewers’ experience.
Design/methodology/approach
Based on 433 survey responses, this study employs a combination of structural equation modeling and neural networks to offer valuable insights into the relationships between the technological environment, viewer experience and viewer behavior.
Findings
Our results highlight the salience of PSR in promoting the purchase of virtual gifts through cognitive absorption and the importance of the technological environment in eliciting the viewer experience. This study sheds light on the development of PSR in a technological environment and its relationship with cognitive absorption.
Originality/value
By applying PSR to conceptualize viewers’ perceived connection with the streamer, this study extends the research on purchase behavior in the non-shopping context by providing an enlightened understanding of virtual gift purchase behavior in live streaming. Moreover, by theoretically linking PSR with cognitive absorption, virtual gift purchase and technological features of live streaming, it enriches the theory of PSR and bridges the gap between the design practice of supporting the IT infrastructure of live streaming and research.
Details
Keywords
Xiaodie Pu, Zhengxu Wang and Felix T.S. Chan
Based on structural embeddedness theory and resource dependence theory, this research aims to examine the mediation role of information sharing in the relationship between…
Abstract
Purpose
Based on structural embeddedness theory and resource dependence theory, this research aims to examine the mediation role of information sharing in the relationship between deendency structures and electronic supply chain management system (eSCM) adoption and a firm's intention to adopt eSCMs.
Design/methodology/approach
A survey questionnaire was undertaken from 212 companies based in Mainland China. Three-stage least squares (3SLS) regression was employed to test the research model.
Findings
The results from 3SLS regressions showed that the effect of interdependence on eSCM adoption intention is fully mediated through information sharing when relationship duration is either below or about the mean. Interdependence and dependence disadvantage was shown to have significant positive effects on eSCM adoption while the effect of dependence advantage was statistically insignificant. Relationship duration was found to negatively moderate the relationship between information sharing and adoption intention.
Originality/value
Through investigating factors of inter-organizational relationships, this study fills the knowledge gap in the traditional paradigms which ignore the collaborative nature of eSCM and analyse related problems based on a single firm's point of view.
Details
Keywords
Syed Ali Raza, Nida Shah, Ronald Ravinesh Kumar and Md. Samsul Alam
This chapter examines the nexus between the between tourism growth and income inequality in the top 10 tourist destinations in the world by using the advanced econometric…
Abstract
This chapter examines the nexus between the between tourism growth and income inequality in the top 10 tourist destinations in the world by using the advanced econometric technique namely quantile-on-quantile (QnQ). This approach combines the two approaches, that is, the nonparametric estimation and quantile regression and regresses the quantile of the tourism growth onto income inequality quantiles, thus enabling the effect of the income inequality on across different conditional tourism growth distribution. It also allows to explain a comprehensive picture of the overall interdependence and nonlinear relationship between the examined variables. The result from QnQ approach shows a negative association between income inequality and tourism growth, however, the country-specific analysis shows wide variations within and across different quantiles of variables. Notably, on the one hand, a strong negative association between the variables is found in China, France, Spain, Italy, Russia and the USA implying that tourism expansion minimizes the income inequality. On the other hand, a strong positive association is noted in Germany, Turkey, Mexico and the UK, which means that growth in tourism widens the income inequality. These outcomes provide important policy direction for tourism management in the respective countries.
Details
Keywords
J.H. Xin, K.M. Cheng, T.F. Chong, T. Sato, T. Nakamura, K. Kajiwara and H. Hoshino
Psychological researches of colour reveal that a colour or a group of colours is associated with certain meanings or can cause certain feelings. These feelings of a colour are…
Abstract
Psychological researches of colour reveal that a colour or a group of colours is associated with certain meanings or can cause certain feelings. These feelings of a colour are termed as colour emotions perceived by people. It is important for colour design of a product. Quantitative relationships between colours and the emotion they caused can assist designers to select right colour for the right design objects. The quantitative relationships can also contribute to the reduction of the lead time for colour design process as the colour emotion can be expressed by standard colour specification. A review was carried out in this paper to introduce the research works in quantifying colour emotion.
Details
Keywords
Nguyen Phuc Canh, Christophe Schinckus, Thanh Dinh Su and Felicia Hui Ling Chong
This paper aims to offer an empirical study of the impact of institutional quality on the banking system risk and credit risk.
Abstract
Purpose
This paper aims to offer an empirical study of the impact of institutional quality on the banking system risk and credit risk.
Design/methodology/approach
Applying cross-sectional dependent tests and stationary tests to check the property of our sample, the panel corrected standard errors model is recruited as the main estimator, while feasible generalized least squares, pool ordinary least squares (OLS), robust pool OLS and other estimators are used as a robustness check for an unbalanced panel data for 56 economies divided into three subsamples between 2002 and 2015.
Findings
The empirical results show several significant contributions. First, an improvement in institutional quality is an important factor to reduce the banking system risk. This effect of the institutions is less important in well-capitalized, highly profitable and in high-economic growth countries. This effect is also stronger in highly liquid banking systems. Notably, a better institutional quality helps to reduce the banking system risk in the highly concentrated banking system. Second, institutional quality has a significant negative relationship with the banking credit risk, especially in highly concentrated banking systems and in high-growth countries. This influence is weaker in highly liquid and well-capitalized banking systems. Finally, better institutions reduce the positive effect of trade openness, but it induces a higher credit risk for the banking system from the trade openness. Notably, a better institutional quality enhances the negative effect of foreign direct investment (FDI) inflow on both banking system risk and credit risk. These findings are documented for a global sample and three subsamples: low and lower-middle-income economies, upper-middle-income economies and high-income economies.
Originality/value
This study provides some recommendations, for policymakers, on the roles of institutions in the banking system and financial stability.
Details
Keywords
Xiaodie Pu, Felix T.S. Chan, Zayyad Tsiga and Ben Niu
Based on the factors derived from the structural embeddedness theory, the purpose of this paper is to investigate the antecedents to the adoption intention for eSCM from two…
Abstract
Purpose
Based on the factors derived from the structural embeddedness theory, the purpose of this paper is to investigate the antecedents to the adoption intention for eSCM from two perspectives: buyer and supplier. The six factors examined in this study are product complexity, product specificity, the number of partners, relationship duration, dependence disadvantage and dependence advantage.
Design/methodology/approach
A questionnaire was designed to collect data from Mainland China with 206 valid data received. Regression analysis was employed to test the hypotheses proposed.
Findings
The differences in the results show that product specificity and dependence disadvantage are significant determinants of eSCM adoption for buyers’ perspective, but not from that of suppliers. In addition, product complexity and dependence advantage (although negatively associated with eSCM adoption) are significant for suppliers, but not for buyers. Number of partners and relationship duration are significant determinants from both perspectives.
Originality/value
This research contributes to understanding on how the factors embedded in an exchange structure influence the adoption of eSCM from the angles of both the buyers and suppliers. We fill the research gap in the existing literature by recognizing the differences in the roles of the buyer and supplier regarding the antecedents to eSCM adoption.
Details
Keywords
Yuldoshboy Sobirov, Olimjon Saidmamatov, Umidjon Matyakubov, Elbek Khodjaniyazov, Ergash Ibadullaev, Dilmurad Bekjanov and Fayzullaev Nodirbek
This research utilizes the Panel FMOLS (fully modified ordinary least square) and DOLS (dynamic ordinary least square) techniques to analyze the influence of tourism on the level…
Abstract
This research utilizes the Panel FMOLS (fully modified ordinary least square) and DOLS (dynamic ordinary least square) techniques to analyze the influence of tourism on the level of female employment across several sectors, including agriculture, services and industry, in Central Asia (CA) nations from 2000 to 2021. It finds a significant positive correlation between economic development, trade openness and female employment. Conversely, the increase in tourist arrivals and the urbanization process have a positive and statistically significant effect on the unemployment rate. Based on the findings of the sectoral study, it can be seen that tourism has a statistically significant positive influence on the level of women's work within the service and industrial sectors. Conversely, the association between tourism and women's employment in the agriculture sector demonstrates a statistically adverse effect. The study's results suggest that authorities should prioritize implementing initiatives aimed at enhancing tourism throughout the countries in CA.
Details
Keywords
The purpose of this paper is to empirically determine the key factors influencing the US consumers’ intentions to use apparel m-commerce.
Abstract
Purpose
The purpose of this paper is to empirically determine the key factors influencing the US consumers’ intentions to use apparel m-commerce.
Design/methodology/approach
An enhanced consumer’s apparel m-commerce adoption model was developed through integrating the existing e-commerce/m-commerce theories (i.e. theory of reasoned action, Technology acceptance model and diffusion of innovation theory). The investigated factors included nine independent variables – perceived usefulness (PU), perceived ease-of-use, subjective norm (SN), personal innovativeness traits, security and privacy concerns, compatibility, observability, trust and past non-store shopping experience (PE), and five control variables – age, gender, education level, income level and ethnicity. The dependent factor is consumer’s intention to use (IU) apparel m-commerce. The primary data were gathered by an online survey of US consumers via Amazon Mechanical Turk. In total, 317 eligible responses were received. The applied statistical techniques were factor analysis and multiple regression analysis.
Findings
The results show that the US consumer’s IU apparel m-commerce is significantly affected by PU, SN, compatibility and PE and education level. Overall, 67.3 percent of variation in the US consumer’s IU apparel m-commerce is explained by the developed model, which suggests a high explanatory power.
Practical implications
Companies should provide those functions and features on their mobile websites that enable consumers to easily find the products wanted and complete transactions efficiently. Companies should particularly target the consumers with innovativeness traits and/or those having prior non-store shopping experience. Enhancing the trust in m-commerce among the US consumers with higher education level could help companies attract more potential users. Elderly, female or lower income consumers could be the next business opportunities for apparel e-tailers.
Originality/value
As one of the first efforts made to understand the emerging apparel m-commerce phenomenon, this study empirically determined the key factors influencing the US consumer’s IU apparel m-commerce.
Details
Keywords
The purpose of this paper is to develop a research model for understanding the relationship between service quality dimensions and demographic variables, and the willingness to…
Abstract
Purpose
The purpose of this paper is to develop a research model for understanding the relationship between service quality dimensions and demographic variables, and the willingness to use e-government services in Oman. Understanding the key determinants of electronic government (e-government) services is an important issue for enhancing the degree of use of these services by users.
Design/methodology/approach
The data were collected using Google forms from 248 e-government service users. The hierarchical regression analysis was used to test the research model.
Findings
The results showed that service quality dimensions, namely, reliability, security, efficiency and responsiveness, were the key determinants that influenced the willingness to use e-government services. In addition to service quality dimensions, two demographic variables, namely, age and education level of respondents, showed a statistically significant relationship with the willingness to use e-government services.
Practical implications
The findings of this study provide useful insights into the decision-makers of e-government services in Oman and similar emerging economies. At the same time, these findings can also be used by academicians and information systems researchers for further research.
Originality/value
This study is probably the first attempt to model e-government services on the basis of service quality dimensions and demographic variables in Gulf Cooperation Council countries. Moreover, this study will enrich the existing literature on the adoption of e-government services.