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As the core driving force of the new round of informatization development and the industrial revolution, the disruptive achievements of artificial intelligence (AI) are rapidly and comprehensively infiltrating into various fields of human activities. Although technologies and applications of AI have been widely studied, and factors that affect AI adoption are identified in existing literature, the impact of success factors on AI adoption remains unknown. Accordingly, the main study of this paper proposes a framework to explore the effects of success factors on AI adoption by integrating the technology, organization, and environment (TOE) framework and diffusion of innovation (DOI) theory. Particularly, this framework consists of factors regarding the external environment, organizational capabilities, and innovation attributes of AI. The framework is empirically tested with data collected by surveying telecom companies in China. Structural equation modeling is applied to analyze the data. The results indicate that compatibility, relative advantage, complexity, managerial support, government involvement, and vendor partnership are significantly related to AI adoption. Managerial capability impacts other organizational capabilities and innovation attributes of AI, but it is indirectly related to AI adoption. Market uncertainty and competitive pressure are not significantly related to AI adoption, but all the external environment factors positively influence managerial capability. The study provides support for firms' decision-making and resource allocation regarding AI adoption. In addition, based on the resource-based view (RBV), this article conducts study 2 which explores the factors that influence the firm sustainable growth. Multiple regression model is applied to empirically test the hypotheses with longitudinal time-series panel data from telecom companies in China. The results indicate that at the firm level, the customer value and operational expenses are significantly related to sustainable growth. Also, at the industry level, industry investment significant impacts sustainable growth. Study 2 provides insights for practitioners the way to keep sustainable growth.

PurposeResearchers have long sought to understand how risks in supply chains (SCs) affect firm performance. Yet, they have not fully subjected claims of how SC risks affect firm financial performance to theoretical and empirical scrutiny. The purpose of this paper is to investigate the links between SC risks and firm financial performance.Design/methodology/approachThe author analyzes how SC risks affect firm financial performance from the perspective of marginal financial performance (MFP) using survey and financial statement data. The author employs structural equation modeling to examine the hypotheses using 106 Taiwanese listed companies across 20 industries.FindingsThe findings regarding the importance of industry-specific risk, organizational risk, internal business process risk, and demand risk are consistent with prior studies. The author finds that demand risk has an MFP of −0.20, the highest negative effect among the risk variables. The findings also show that industry-specific risk possesses an MFP of −0.16, the second-highest negative effect, despite having no direct effect on financial performance.Research limitations/implicationsThis paper examines how SC risks affect MFP via combining survey and financial statement data. It does not assume the reported MFP estimates apply to all businesses in other countries. However, future research could triangulate our findings.Originality/valueThis study combines survey and financial data to analyze how SC risks affect firm financial performance. Specifically, it provides a methodology for estimating quantitative cause-effect relationships between SC risk and firm financial performance, an important topic that receives less research interest in the field of supply chain management.

This study used an area assessment technique and local community interviews as the key tools to achieve the three study objectives:to assess the potential of the site for ecotourism establishment; to examine the local needs and readiness of the community to participate in the ecotourism management; and to examine factors affecting the opinions of local community participation plan of ecotourism. To assess these three main objectives, 194 respondents were selected and interviewed. The responses were then analyzed statistically using percentage, maximum, and mean values. In addition, the hypotheses were developed and tested using the chi-square analysis technique in order to determine relationships between the variables. The site assessment using four ecotourism criteria showed 85%, which falls into an "excellent†category of ecotourism potential. In addition, the interviews to promote local community participation in the ecotourism plan were also used to assess the local needs and readiness. The results tabulated from the interviews show that the local needs of ecotourism were of 3.44, showing that there was an urgent need among the local community, while the readiness to respond to this need was 2.69; the local needs of tour guides was 3.51, while the readiness was 3.03; the local needs for the services was 3.19, while the readiness was 2.05. Furthermore, the study determined that the need for government support in four activities was at the medium level. The results showed the home stays was an average of 2.00, the tour guides was 2.00, the infrastructure development was 2.01, and the provision of goods and services was 2.00. Finally, the results of hypothesis testing on statistical significance at the 0.05 level indicated no significant difference in responses based on the gender and the readiness of the services to provide tour guides, age and the needs of the services to provide accommodation, age and the needs and readiness of the services to provide tour guides, occupation and the needs of the services to provide accommodation, income and the readiness of the services to provide accommodation.

According to the Chinese government' commitments while entering the WTO, now China has cancelled many restrictions for foreign banks including the restriction of foreign exchange business, the geographic restriction of RMB business and the restriction of the establishment form of foreign banks. Foreign banks are now permitted to offer services to all Chinese clients and to set up the same city services points to make cross‐region business. It means that nowadays foreign commercial banks and Chinese commercial banks are standing at the same start line to compete with each other. The innovation of this paper is mainly reflected in the following three aspects. First, we made a complete and systematic summary about the latest achievements on the competitiveness of commercial banks, including the foreign and domestic authoritative method of the evaluation of international competitiveness of commercial banks, in order to build a solid theoretical foundation for the empirical analysis. The second is the multilevel empirical method. In addition to the innovation on the selected indicators of the traditional factor analysis, we also made a cointegration analysis on the macro‐level variables which further strengthened the content of the international competitiveness of commercial banks. Thirdly, the data used in the empirical analysis are the latest ones released by the official website of the commercial banks, statistical agencies, regulatory bodies and related database by 2010, in order to ensure the validity and the timeliness of the empirical results.