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Jie Xiong
ESSCA School of Management, Anger, France

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Earlycite article
Published: 03 August 2021 in International Journal of Entrepreneurial Behavior & Research
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Purpose This paper aims to develop a quality evaluation model for artificial intelligence (AI)-based products/services that is applicable to startups utilizing AI technology. Although AI-based service has risen dramatically and replaced many service offerings, in reality, startups are rarely to develop and evaluate AI services. The features of AI service are fundamentally different from the properties of existing services and have a great influence on the customer's service selection. Design/methodology/approach This paper reviews startups' development process, existing quality evaluation models and characteristics of services utilizing AI technology, and develops a quality evaluation model for AI-based services. A detailed analysis of a survey (application of the model) on customer satisfaction for AI speakers is provided. Findings This paper provides seven key features and 24 evaluation items for evaluating AI-based services. Originality/value This paper contributes to the growing need for methodologies that reflect the new era of AI-based products/services in quality evaluation research.

ACS Style

Chang Hwa Baek; Seong-Young Kim; Sung Uk Lim; Jie Xiong. Quality evaluation model of artificial intelligence service for startups. International Journal of Entrepreneurial Behavior & Research 2021, ahead-of-p, 1 .

AMA Style

Chang Hwa Baek, Seong-Young Kim, Sung Uk Lim, Jie Xiong. Quality evaluation model of artificial intelligence service for startups. International Journal of Entrepreneurial Behavior & Research. 2021; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Chang Hwa Baek; Seong-Young Kim; Sung Uk Lim; Jie Xiong. 2021. "Quality evaluation model of artificial intelligence service for startups." International Journal of Entrepreneurial Behavior & Research ahead-of-p, no. ahead-of-p: 1.

Research article
Published: 06 April 2020 in International Journal of Geriatric Psychiatry
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The Chinese household debt has been increasing rapidly in recent years because of the expansion of consumers' spending and mortgage. Its effects on individuals' mental and physical well-being are poorly known. This study aims to examine the relationship of household debt with hypertension and depressive symptoms among the middle- and old-aged population. Nationally representative data were collected from China Health and Retirement Longitudinal Study 2015. Logistic regression analysis and mediation analysis were used to estimate associations of household debt with the presence of hypertension and depressive symptoms. The Sobel test was used to assess the mediation effect of depressive symptoms in the association of household debt and hypertension. Among 12 274 subjects, those with high-level household debt exhibited 12% increased odds of hypertension and double odds of depressive symptoms compared to low-level household debtors. Household debt had a direct effect on hypertension and depressive symptoms and an indirect effect on hypertension via depressive symptoms. The relationships between household debt, depressive symptoms, and hypertension form a society-psychology-body view that is worth considering in household, community and clinical settings in hypertension management among middle-aged and elderly populations.

ACS Style

Hongxun Song; Ruoxi Wang; Ghose Bishwajit; Jie Xiong; Zhanchun Feng; Hang Fu. Household debt, hypertension and depressive symptoms for older adults. International Journal of Geriatric Psychiatry 2020, 35, 779 -784.

AMA Style

Hongxun Song, Ruoxi Wang, Ghose Bishwajit, Jie Xiong, Zhanchun Feng, Hang Fu. Household debt, hypertension and depressive symptoms for older adults. International Journal of Geriatric Psychiatry. 2020; 35 (7):779-784.

Chicago/Turabian Style

Hongxun Song; Ruoxi Wang; Ghose Bishwajit; Jie Xiong; Zhanchun Feng; Hang Fu. 2020. "Household debt, hypertension and depressive symptoms for older adults." International Journal of Geriatric Psychiatry 35, no. 7: 779-784.

Journal article
Published: 07 February 2020 in International Journal of Environmental Research and Public Health
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Distinct perceptions of the global climate is one of the factors preventing society from achieving consensus or taking collaborative actions on this issue. The public has not even reached an agreement on the naming of the global concern, showing preference for either “climate change” or “global warming”, and few previous studies have addressed these two competing discourses resulting from distinct climate concerns by differently linking numerous climate concepts. Based on the 6,662,478 tweets containing #climatechange or #globalwarming generated between 1 January 2009 and 31 December 2018, we constructed the semantic networks of the two discourses and examined their evolution over the decade. The findings indicate that climate change demonstrated a more scientific perspective and showed an attempt to condense climate discussions rather than diffuse the topic by frequently addressing sub-topics simultaneously. Global warming triggered more political responses and showed a greater connection with phenomena. Temporal analysis suggests that traditional political discussions were gradually fading in both discourses but more recently started to revive in the form of discourse alliance in the climate change discourse. The associations between global warming and weather abnormalitiessuddenly strengthened around 2012. Climate change is becoming more dominant than global warming in public discussions. Although two discourses have shown more similarities in the rank order of important climate concepts, apparent disagreements continue about how these concepts are associated. These findings lay the groundwork for researchers and communicators to narrow the discrepancy between diverse climate perceptions.

ACS Style

Wen Shi; Haohuan Fu; Peinan Wang; Changfeng Chen; Jie Xiong. #Climatechange vs. #Globalwarming: Characterizing Two Competing Climate Discourses on Twitter with Semantic Network and Temporal Analyses. International Journal of Environmental Research and Public Health 2020, 17, 1062 .

AMA Style

Wen Shi, Haohuan Fu, Peinan Wang, Changfeng Chen, Jie Xiong. #Climatechange vs. #Globalwarming: Characterizing Two Competing Climate Discourses on Twitter with Semantic Network and Temporal Analyses. International Journal of Environmental Research and Public Health. 2020; 17 (3):1062.

Chicago/Turabian Style

Wen Shi; Haohuan Fu; Peinan Wang; Changfeng Chen; Jie Xiong. 2020. "#Climatechange vs. #Globalwarming: Characterizing Two Competing Climate Discourses on Twitter with Semantic Network and Temporal Analyses." International Journal of Environmental Research and Public Health 17, no. 3: 1062.

Research article
Published: 19 November 2019 in Strategic Change
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The size of organizational network, organizations' betweenness centrality and structural hole exert positive effects on organizational innovation capability. The intermediary effect of structural hole on organizational innovation capability is not significant. These outcomes enrich the understanding of the promoting effect of the inter‐organizational network on organizational innovation performance in general. The findings contribute to business practitioners in high‐tech clusters on their capability development.

ACS Style

Lu Xu; Jie Yan; Jie Xiong. Network characteristics and organizational innovation capability: A study of the inter‐organizational collaboration network of new drug development in Shanghai, China. Strategic Change 2019, 28, 499 -506.

AMA Style

Lu Xu, Jie Yan, Jie Xiong. Network characteristics and organizational innovation capability: A study of the inter‐organizational collaboration network of new drug development in Shanghai, China. Strategic Change. 2019; 28 (6):499-506.

Chicago/Turabian Style

Lu Xu; Jie Yan; Jie Xiong. 2019. "Network characteristics and organizational innovation capability: A study of the inter‐organizational collaboration network of new drug development in Shanghai, China." Strategic Change 28, no. 6: 499-506.

Journal article
Published: 14 August 2019 in Sustainability
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Data envelopment analysis (DEA) is a data-driven tool for performance evaluation, benchmarking and multiple-criteria decision-making. This article investigates efficiency decomposition in a two-stage network DEA model. Three major methods for efficiency decomposition have been proposed: uniform efficiency decomposition, Nash bargaining game decomposition, and priority decomposition. These models were developed on the basis of different assumptions that led to different efficiency decompositions and thus confusion among researchers. The current paper attempts to reconcile these differences by redefining the fairness of efficiency decomposition based on efficiency rank, and develops a rank-based model with two parameters. In our new rank-based model, these three efficiency decomposition methods can be treated as special cases where these parameters take special values. By showing the continuity of the Pareto front, we simplify the uniform efficiency decomposition, and indicate that the uniform efficiency decomposition and Nash bargaining game decomposition can converge to the same efficiency decomposition. To demonstrate the merits of our model, we use data from the literature to evaluate the performance of 10 Chinese banks, and compare the different efficiency decompositions created by different methods. Last, we apply the proposed model to the performance evaluation of sustainable product design in the automobile industry.

ACS Style

Haitao Li; Jie Xiong; Jianhui Xie; Zhongbao Zhou; Jinlong Zhang. A Unified Approach to Efficiency Decomposition for a Two-Stage Network DEA Model with Application of Performance Evaluation in Banks and Sustainable Product Design. Sustainability 2019, 11, 4401 .

AMA Style

Haitao Li, Jie Xiong, Jianhui Xie, Zhongbao Zhou, Jinlong Zhang. A Unified Approach to Efficiency Decomposition for a Two-Stage Network DEA Model with Application of Performance Evaluation in Banks and Sustainable Product Design. Sustainability. 2019; 11 (16):4401.

Chicago/Turabian Style

Haitao Li; Jie Xiong; Jianhui Xie; Zhongbao Zhou; Jinlong Zhang. 2019. "A Unified Approach to Efficiency Decomposition for a Two-Stage Network DEA Model with Application of Performance Evaluation in Banks and Sustainable Product Design." Sustainability 11, no. 16: 4401.

Journal article
Published: 16 April 2019 in Sustainability
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Previous literature has explored the positive effects of socially responsible human resource management (SRHRM) on employees, leaving potential dark sides largely ignored. By integrating situational-strength theory and motivation literature, this study investigates the double-edged effects of SRHRM on employee performance. Based on a sample of 314 employee–supervisor dyads from three companies, we found that SRHRM could increase employees’ organizational citizenship behavior (OCB) while decreasing their task performance through role-ambiguity mediation. Interestingly, prosocial motivation serves as a significant moderator in strengthening the positive relationship between SRHRM and OCB and the negative association between SRHRM and task performance. Finally, we discuss the theoretical and practical implications of how managers should conduct SRHRM practices among employees.

ACS Style

Danping Shao; Erhua Zhou; Peiran Gao; Lirong Long; Jie Xiong. Double-Edged Effects of Socially Responsible Human Resource Management on Employee Task Performance and Organizational Citizenship Behavior: Mediating by Role Ambiguity and Moderating by Prosocial Motivation. Sustainability 2019, 11, 2271 .

AMA Style

Danping Shao, Erhua Zhou, Peiran Gao, Lirong Long, Jie Xiong. Double-Edged Effects of Socially Responsible Human Resource Management on Employee Task Performance and Organizational Citizenship Behavior: Mediating by Role Ambiguity and Moderating by Prosocial Motivation. Sustainability. 2019; 11 (8):2271.

Chicago/Turabian Style

Danping Shao; Erhua Zhou; Peiran Gao; Lirong Long; Jie Xiong. 2019. "Double-Edged Effects of Socially Responsible Human Resource Management on Employee Task Performance and Organizational Citizenship Behavior: Mediating by Role Ambiguity and Moderating by Prosocial Motivation." Sustainability 11, no. 8: 2271.

Journal article
Published: 18 March 2019 in Sustainability
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Though scientists have achieved consensus on the severity and urgency of climate change years ago, the public still considers this issue not that important, as the influence of climate change is widely thought to be geographically and temporally bounded. The discrepancy between scientific consensus and public’s misperception calls for more dedicated public communication strategies to get climate change issues back on the front line of the public agenda. Based on the large-scale data acquired from the online knowledge community Quora, we conduct a computational linguistic analysis followed by the regression model to address the climate change communication from the agenda setting perspective. To be specific, our results find that certain narrative strategies may make climate change issues more salient by engaging public into discussion or evoking their long-term interest. Though scientific communicators have long been blaming lack of scientific literacy for low saliency of climate change issues, cognitive framework is proved to be least effective in raising public concern. Affective framework is relatively more influential in motivating people to participate in climate change discussion: the stronger the affective intensity is, the more prominent the issue is, but the affective polarity is not important. Perceptual framework is most powerful in promoting public discussion and the only variable that can significantly motivate the public’s long-term desire to track issues, among which feeling plays the most critical role compared with seeing and hearing. This study extends existing science communication literature by shedding light on the role of previously ignored affective and perceptual frameworks in making issues salient and the conclusions may provide theoretical and practical implications for future climate change communication.

ACS Style

Wen Shi; Changfeng Chen; Jie Xiong; Haohuan Fu. What Framework Promotes Saliency of Climate Change Issues on Online Public Agenda: A Quantitative Study of Online Knowledge Community Quora. Sustainability 2019, 11, 1619 .

AMA Style

Wen Shi, Changfeng Chen, Jie Xiong, Haohuan Fu. What Framework Promotes Saliency of Climate Change Issues on Online Public Agenda: A Quantitative Study of Online Knowledge Community Quora. Sustainability. 2019; 11 (6):1619.

Chicago/Turabian Style

Wen Shi; Changfeng Chen; Jie Xiong; Haohuan Fu. 2019. "What Framework Promotes Saliency of Climate Change Issues on Online Public Agenda: A Quantitative Study of Online Knowledge Community Quora." Sustainability 11, no. 6: 1619.

Journal article
Published: 20 December 2018 in Journal of Business Strategy
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Purpose This study aims to investigate the historical technological catch-up processes with particular attention to the role of windows of opportunity (WoO). As Industry 4.0 becomes the benchmark of many latecomer countries, this paper may provide guidelines to both policymakers and business practitioners. For clarifying how to catch up with the incumbents and leaders, the authors summarize the lessons based on the historical observations to conclude the pathways for latecomers who aim to reduce the gaps to leaders and manage catch-up. This study enriches the literature of catch-up from a holistic view with fresh insights into how and where to catch up. Design/methodology/approach The authors analyze the technological catch-up processes emerged in advanced industrial powers, newly industrialized countries (NICs) and emerging economies (EEs). By categorizing the countries into three kinds, they summarize the processes of catch-up along with the industry evolutions. Moreover, they explore how WoO may facilitate the catch-up processes from one stage to the next in above-mentioned categories. Doing so helps to further examine how technological catch-up and WoO interplay and differ among countries. Then, the authors further investigate the latecomers and incumbents and conclude the target choosing, path setting and direction selecting when implementing a catch-up strategy. Findings This study shows that technological catch-up emerged first in advanced industrial powers (AIPs), then in NICs and recently in EEs. Technological catch-up processes in AIPs and NICs take longer time than those in EEs. WoO from policy, market and technology usually collaboratively facilitate the technological catch-up processes in AIPs and NICs. However, in EEs, single WoO can lead to a successful catch-up. The authors further summarize the directions and pathways of catch-up: AIPs and NICs are normally considered by some latecomers to catch up with, while EEs are not. Originality/value This study is among the first to systematically review the historical developments of industry evolutions by focusing the technological catch-up based on the different categories of countries: AIPs, NICs and EEs. Moreover, the authors are also among the first few integrating the WoO and technological catch-up processes in different kinds of countries. To the best of the authors’ knowledge, they are also one of the pioneers who highlight the directions and pathways of latecomers and target choosing to catch up with. They also explore the possibility of selecting EEs as catch-up targets.

ACS Style

Lu Xu; Seong-Young Kim; Jie Xiong; Jie Yan; Han Huang. Playing catch-up: how less developed nations can jump-start technology innovation. Journal of Business Strategy 2018, 41, 49 -57.

AMA Style

Lu Xu, Seong-Young Kim, Jie Xiong, Jie Yan, Han Huang. Playing catch-up: how less developed nations can jump-start technology innovation. Journal of Business Strategy. 2018; 41 (2):49-57.

Chicago/Turabian Style

Lu Xu; Seong-Young Kim; Jie Xiong; Jie Yan; Han Huang. 2018. "Playing catch-up: how less developed nations can jump-start technology innovation." Journal of Business Strategy 41, no. 2: 49-57.

Journal article
Published: 19 November 2018 in Journal of Eastern European and Central Asian Research (JEECAR)
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Although interest in the catching-up strategy of developing countries has increased during recent years, this line of research is focused on national analysis from the beginning, using developed nations as a benchmark for productive lagging-behind countries, which need to be reviewed. Accordingly, we utilize literature analysis method to distinguish the difference among developing and developed countries of the catching-up process. Based on our analysis, we state that the lagging-behind countries have late-coming advantages. In the short term, the developing countries are able to achieve technical imitation by catching-up with the technology. However, in the long run, imitation innovation is always based on the main concepts of developed countries, and does not really integrate the actual situation and social resources with the economic situation of developing countries. Consequently, it is essential for developing countries to find an innovative way to fulfill the transformation.

ACS Style

Han Wu; Jie Xiong; Qian Li; Tian Wei. Comparisons of Catch-up Among Developed Nations and Developing Countries. Journal of Eastern European and Central Asian Research (JEECAR) 2018, 5, 9 .

AMA Style

Han Wu, Jie Xiong, Qian Li, Tian Wei. Comparisons of Catch-up Among Developed Nations and Developing Countries. Journal of Eastern European and Central Asian Research (JEECAR). 2018; 5 (2):9.

Chicago/Turabian Style

Han Wu; Jie Xiong; Qian Li; Tian Wei. 2018. "Comparisons of Catch-up Among Developed Nations and Developing Countries." Journal of Eastern European and Central Asian Research (JEECAR) 5, no. 2: 9.