The role of knowledge codification in the emergence of consensus under uncertainty: empirical analysis and policy implications

2001 ◽  
Vol 30 (9) ◽  
pp. 1537-1551 ◽  
Author(s):  
Francis Munier ◽  
Patrick Rondé
2000 ◽  
Author(s):  
Erika Felix ◽  
Anjali T. Naik-Polan ◽  
Christine Sloss ◽  
Lashaunda Poindexter ◽  
Karen S. Budd

2019 ◽  
pp. 39-54
Author(s):  
Marco Ieva ◽  
Cristina Ziliani

Customer Experience develops through a journey of touchpoints. However, little is known on the role of touchpoints in contributing to customer loyalty, which is the final aim of Customer Experience Management. This study provides an examination of the relative and moderating role of frequency and positivity of exposure to more than twenty touchpoints and their interplay in contributing to customer loyalty. An online survey on more than three thousand consumers is run with reference to retail banking. Results show that only a small number of touchpoints is significantly related to customer loyalty. Findings point companies' attention to invest their efforts in managing both the frequency and positivity of specific touchpoints.


2021 ◽  
pp. 001041402199716
Author(s):  
Nam Kyu Kim ◽  
Jun Koga Sudduth

Does the creation of nominally democratic institutions help dictators stay in power by diminishing the risk of coups? We posit that the effectiveness of political institutions in deterring coups crucially depends on the types of plotters and their political goals. By providing a means to address the ruling coalition’s primary concerns about a dictator’s opportunism or incompetence, institutions reduce the necessity of reshuffling coups, in which the ruling coalition replaces an incumbent leader but keeps the regime intact. However, such institutions do not diminish the risk of regime-changing coups, because the plotters’ goals of overthrowing the entire regime and changing the group of ruling coalition are not achievable via activities within the institutions. Our empirical analysis provides strong empirical support for our expectations. Our findings highlight that the role of “democratic” institutions in deterring coups is rather limited as it only applies to less than 38% of coup attempts.


2021 ◽  
Vol 22 (1) ◽  
pp. 53-68
Author(s):  
Guenter Knieps

5G attains the role of a GPT for an open set of downstream IoT applications in various network industries and within the app economy more generally. Traditionally, sector coupling has been a rather narrow concept focusing on the horizontal synergies of urban system integration in terms of transport, energy, and waste systems, or else the creation of new intermodal markets. The transition toward 5G has fundamentally changed the framing of sector coupling in network industries by underscoring the relevance of differentiating between horizontal and vertical sector coupling. Due to the fixed mobile convergence and the large open set of complementary use cases, 5G has taken on the characteristics of a generalized purpose technology (GPT) in its role as the enabler of a large variety of smart network applications. Due to this vertical relationship, characterized by pervasiveness and innovational complementarities between upstream 5G networks and downstream application sectors, vertical sector coupling between the provider of an upstream GPT and different downstream application industries has acquired particular relevance. In contrast to horizontal sector coupling among different application sectors, the driver of vertical sector coupling is that each of the heterogeneous application sectors requires a critical input from the upstream 5G network provider and combines this with its own downstream technology. Of particular relevance for vertical sector coupling are the innovational complementarities between upstream GPT and downstream application sectors. The focus on vertical sector coupling also has important policy implications. Although the evolution of 5G networks strongly depends on the entrepreneurial, market-driven activities of broadband network operators and application service providers, the future of 5G as a GPT is heavily contingent on the role of frequency management authorities and European regulatory policy with regard to data privacy and security regulations.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dan Wu ◽  
Tingzhong Yang ◽  
Daniel L. Hall ◽  
Guihua Jiao ◽  
Lixin Huang ◽  
...  

Abstract Background The COVID-19 pandemic brings unprecedented uncertainty and stress. This study aimed to characterize general sleep status among Chinese residents during the early stage of the outbreak and to explore the network relationship among COVID-19 uncertainty, intolerance of uncertainty, perceived stress, and sleep status. Methods A cross-sectional correlational survey was conducted online. A total of 2534 Chinese residents were surveyed from 30 provinces, municipalities, autonomous regions of China and regions abroad during the period from February 7 to 14, 2020, the third week of lockdown. Final valid data from 2215 participants were analyzed. Self-report measures assessed uncertainty about COVID-19, intolerance of uncertainty, perceived stress, and general sleep status. Serial mediation analysis using the bootstrapping method and path analysis were applied to test the mediation role of intolerance of uncertainty and perceived stress in the relationship between uncertainty about COVID-19 and sleep status. Results The total score of sleep status was 4.82 (SD = 2.72). Age, place of residence, ethnicity, marital status, infection, and quarantine status were all significantly associated with general sleep status. Approximately half of participants (47.1%) reported going to bed after 12:00 am, 23.0% took 30 min or longer to fall asleep, and 30.3% slept a total of 7 h or less. Higher uncertainty about COVID-19 was significantly positively correlated with higher intolerance of uncertainty (r = 0.506, p < 0.001). The mediation analysis found a mediating role of perceived stress in the relationship between COVID-19 uncertainty and general sleep status (β = 0.015, 95%C.I. = 0.009–0.021). However, IU was not a significant mediator of the relationship between COVID-19 uncertainty and sleep (β = 0.009, 95%C.I. = − 0.002–0.020). Moreover, results from the path analysis further showed uncertainty about COVID-19 had a weak direct effect on poor sleep (β = 0.043, p < 0.05); however, there was a robust indirect effect on poor sleep through intolerance of uncertainty and perceived stress. Conclusions These findings suggest that intolerance of uncertainty and perceived stress are critical factors in the relationship between COVID-19 uncertainty and sleep outcomes. Results are discussed in the context of the COVID-19 pandemic, and practical policy implications are also provided.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 751-751
Author(s):  
Jianyun Wang ◽  
Renyao Zhong ◽  
Yaolin Pei ◽  
Bei Wu

Abstract This study aimed to examine the trajectory of depressive symptoms among Chinese older adults with disabilities and the role of adult children’s support in predicting trajectory classes of depressive symptoms. Data were drawn from three waves of the China Health and Retirement Longitudinal Study (2011-2015). The sample included 1420 disabled older adults age 60+ at the baseline and completed all three waves of the data. Growth mixture model shows two-class depressive symptoms trajectories: the higher risk group (25.49%) and the lower risk group (74.51%). Logistic regression results showed that respondents who received a longer term of adult children’s instrumental support were more likely to be classified in a higher risk group after controlling the covariates (OR=1.184, p&lt;0.05), while financial support and the frequency of contacts were not associated with the increased level of depressive symptoms. The policy implications were also discussed in this study.


Author(s):  
Giuliano Sansone ◽  
Elisa Ughetto ◽  
Paolo Landoni

AbstractAlthough a great deal of attention has been paid to entrepreneurship education, only a few studies have analysed the impact of extra-curricular entrepreneurial activities on students’ entrepreneurial intention. The aim of this study is to fill this gap by exploring the role played by Student-Led Entrepreneurial Organizations (SLEOs) in shaping the entrepreneurial intention of their members. The analysis is based on a survey that was conducted in 2016 by one of the largest SLEOs in the world: the Junior Enterprises Europe (JEE). The main result of the empirical analysis is that the more time students spent on JEE and the higher the number of events students attended, the greater their entrepreneurial intention was. It has been found that other important drivers also increase students’ entrepreneurial intention, that is, the Science and Technology field of study and the knowledge of more than two foreign languages. These results confirm that SLEOs are able to foster students’ entrepreneurial intention. The findings provide several theoretical, practical and public policy implications. SLEOs are encouraged to enhance their visibility and lobbying potential in order to be recognized more as drivers of student entrepreneurship. In addition, it is advisable for universities and policy makers to support SLEOs by fostering their interactions with other actors operating in the entrepreneurial ecosystem, who promote entrepreneurship and technology transfer activities. Lastly, this paper advises policy makers to assist SLEOs’ activities inside and outside the university context.


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