A Technology–Individual Contingency Perspective of Mobile Technostress: The Moderating Role of Personality

As one of the rapidly developing technologies, mobile technology brings employees not only the enhanced work effectiveness and efficiency but also some unexpected consequences such as the so called technostress which has been regarded as an increasingly serious issue in contemporary organizations. Despite prior studies have provided some interpretive and qualitative analysis on this issue, the empirical studies about how and when mobile technology features lead to technostress have been rarely developed. In this study, we proposed and empirically examined the impact of one key mobile technology feature namely presenteeism on technostress. More importantly, we further put forward that the relationship between technology characteristic and technostress was moderated by five personality factors namely extraversion, neuroticism, conscientiousness, agreeableness, and openness to experience by addressing the Five Factor Model (FFM) of personality. A survey on the employees with usage of mobile technologies in workplace was conducted to test the proposed research model and hypotheses. The key findings show that: (1) Presenteeism per se has no significant impact on technostress; (2) Three personality factors conscientiousness, agreeableness, and openness to experience are found to be significantly moderate the relationship between presenteeism and technostress while the other two does not. Contributions and implications of the study are also discussed

Determinants of SMEs’ Transformation Toward Cloud Services: Perspectives of Economic and Social Rationalities

Cloud services represent a new paradigm that changes how organizations obtain advanced information technology capability. Cloud services have especially important implications for small and medium enterprises (SMEs). However, not all SMEs choose to transform toward cloud-based solutions. Accounting for both technical-economic rationality and trust-based rationality, we explore the determinants of cloud service transformation in the SME context. We conduct a survey involving 107 SMEs operating in China to examine the research model. The findings illustrate that 1) both trust and benefit have significant influences on SMEs’ transformation toward cloud services; 2) information security and social influence have positive influences, whereas vendor scarcity has a negative influence on SMEs’ trust in cloud services; and 3) uncertainty of service demands and information asymmetry between service clients and vendors significantly affect SMEs’ perception of cloud service benefits. The theoretical and practical implications and limitations are discussed. Available at: https://aisel.aisnet.org/pajais/vol11/iss1/3

Modeling Pollution Control and Performance in China’s Provinces

The paper constructs a pollution control performance (PCP) evaluation model by introducing the norm of n-dimensional space. The PCP of 30 Chinese provinces for the period of 2003–2008 is evaluated based on the model and the factors influencing China's pollution control are further examined. It is found that: (1) China's PCP has improved rapidly but there is a large regional imbalance with the PCP of Eastern China being much better than that of Central and Western China; (2) to improve the level of China's PCP, government policies should consider industrial structure adjustment, restricting industry entries and increased investment in pollution abatement and R&D

Information Sharing Behavior in Social Commerce Sites: The Differences between Sellers and Non-Sellers

The rise of social media encouraged customers to share information more frequently and to larger extent. Previous work primarily focused on how and why customers share information in online social commerce sites. In the current study, we distinguish between the two types of users: sellers and non-sellers in social commerce sites. Drawing on the goal theory, we empirically examine intrinsic and extrinsic benefits as the key direct antecedents, and explore the moderating role of sellers/non-sellers in the relationship between intrinsic and extrinsic benefits and information sharing behavior. Analyzing survey data (n=1170) in the first phase collected from a popular social commerce site, we found that intention to share information among sellers and non-sellers are indeed different. This study can advance the understandings of information sharing literature by revealing the differences between different types of users. The results offer important and interesting insights to IS research and practice

Dynamic capability matters: Uncovering its fundamental role in decision making of environmental innovation

The final publication is available at Elsevier via http:/dx.doi.org/10.1016/j.jclepro.2017.12.208 © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/This study aims to explore organizations’ intrinsic drivers of voluntarily adopting environmental innovations that are in early stage of diffusion. In particular, it investigates the vital role of dynamic capabilities in the decision-making process of adoption. Adopting a process-oriented model, this study focuses on the initiation (instead of implementation) process of innovation adoption and examines how dynamic capabilities can result in intention of adopting environmental innovation voluntarily. The findings show that dynamic capabilities have positive effects on organizational intention of adoption not only directly, but also indirectly through facilitating managers to interpret environmental innovations as an opportunity, rather than a threat. Furthermore, this partial mediating role of managerial interpretation between dynamic capabilities and environmental innovation adoption varies depending on organizational social position. Compared to central firms, peripheral firms tend to be more responsive to managerial interpretation. The chain from dynamic capabilities, to interpretation of environmental innovation as an opportunity, and finally to the intention of adoption is stronger for peripheral firms than for central ones.National Natural Science Foundation of China [grant numbers 71171183, 71172213

Effects of population and land urbanization on China’s environmental impact: empirical analysis based on the extended STIRPAT model

China has been undergoing a very rapid but unbalanced urbanization, characterized by under-urbanization of its population and faster urbanization of the land. In such a situation, the urbanization of the population and the land may produce different effects on the natural environment. In addition, due to substantial inter-regional differences, the influence of urbanization on the environment is likely to vary across regions at different stages of economic and social development. This article expands the basic STIRPAT–Stochastic Impacts by Regression on Population, Affluence and Technology, model by adding industrialization level, foreign trade degree, population urbanization level and land urbanization level. Based on panel data from 2006 to 2014 and using this extended STIRPAT model, the article analyses the effects of the driving forces, especially population urbanization and land urbanization, on the environmental impact for the whole of China as well as on its eastern, middle and western regions. The results indicate that for the whole of China, population urbanization produces a significant negative effect on the environmental impact, while land urbanization has a small, but not statistically significant, positive effect. The effects of population urbanization and land urbanization vary across the eastern, middle and western regions, which are at different stages of economic and social development. Population urbanization and land urbanization have no significant influences on environmental impact in the eastern and middle regions, while in the western region population urbanization has a significant negative influence on environmental impact. The main driving factors of environmental impact remain population, affluence and energy intensity. This study also quantitatively calculates the actual contribution rate of each driving force for the 2006–2014 period. It contributes to understanding the characteristics and key driving forces in each region, allowing for appropriate policy recommendations

An Augmented Risk Information Seeking Model: Perceived Food Safety Risk Related to Food Recalls

Food safety is of worldwide concern. As an effective mechanism governing food safety, food recalls are widely applied around the world. Though it is well known that food recalls can have substantial, negative impacts on corporate reputation and marketing, we know relatively little related to what factors motivate people to seek related information after the recall announcement. This study attempts to elucidate the determinants of information-seeking intention in the context of food safety in food recalls by using an augmented risk information-seeking model. A survey of 631 Chinese residents was used to explore the proposed framework. The results show that current knowledge, risk perception, perceived channel beliefs, and perceived information-gathering capacity (PIGC) are all significant predictors of information need and information-seeking intention. It was also confirmed that risk perception has a positive correlation with seeking need. These findings are important for policymakers, recalling manufacturers, and retailers to develop strategies for better risk communication in food recall announcements

What factors determine whether a community will choose the pathway to sustainable development in China?

In this paper, we divide the communities in Central China into four groups, namely ecological high-poverty communities, non-ecological high-poverty communities, sustainable communities and non-ecological low-poverty communities. We use 2000 and 2006 data for 498 counties to conduct analysis and comparison between sustainable and unsustainable communities in order to define determinants of the development pathways to sustainable communities. The comparison of the variable means between the groups of ecological high-poverty communities and non-ecological high-poverty communities in 2006 indicates that there is no significant difference in the dimensions related to economy, society and environment, with the exception of average output value per industrial enterprise. The non-ecological low-poverty communities are more likely to have a higher proportion of secondary industry, higher total industrial output value, higher average output value per industrial enterprise and higher intensity of infrastructure construction, compared to the sustainable communities. The factors that determine whether the communities will choose the pathway to sustainable communities are found to be landscape, social conditions of secondary industry and agriculture and economic development level. Hence, the policies that aim at promoting sustainability for the unsustainable communities will have to focus on different strategies and actions for non-ecological high-poverty and non-ecological low-poverty communities