scholarly journals NETWORKING AND RISK -TAKING ON GROWTH OF SELECTED KENYA EXPORT FIRMS: AN ANALYSIS

2018 ◽  
Vol 6 (4) ◽  
pp. 351-356
Author(s):  
Joyce Achola Ogundo ◽  
Peter Ki Bas ◽  
Robert Otuya
Keyword(s):  
Risk Taking ◽  
Goodness Of Fit ◽  
Firm Growth ◽  
Model Fit ◽  
Group Model ◽  
Focus Attention ◽  
Entrepreneurship Policy ◽  
The Public ◽  
Multiple Group ◽  
Weight Model

Networking and Risk _Taking on Growth of of Export Firms have such an important role in global success and become more useful overtime. Networking and Risk _Taking on Growth of  Export Firms have not been addressed in full, their challenges such as lack of  Literature on Risk -Taking on  Export Firms is very scanty and hence not exhaustive .This Research attempts to utilise Sample size of 169 ,adopted from thesis on in Selected Kenya Export Firms .The Research employed Analysis of Moment Structures to compare Networking and Risk _Taking to Analyse Growth of  Export Firms Selected Kenya Export Firms, GFI was utilized to determine model goodness of fit, Multiple Group Model Comparisons. Finding indicate that the two Models of Networking and Risk _Taking differ, it was clear that equal Standardized Regression weight model results were substantially worse on overall model fit, specifically on Risk -Taking. A comparative analysis identified issues on Networking which proved to be useful as a construct of Growth of Export Firms for its application on Export Firms however some limitations in terms of: Error difference, Low model goodness of fit were faced by the Risk-Taking. The study concludes that the dimensions of Networking were positively related to export firm growth. The study recommends: development of entrepreneurship policy, the public sector needs to focus attention on developing networking opportunities among employees. Export firms should undertake research on Risk-Taking and segments that can support firm growth.

scholarly journals The Disclosure Decision of Foreign Clinical Trials in China: Moderating Effects of Firms’ Contingencies

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110163
Author(s):  
Tariq H. Malik ◽  
Chunhui Huo
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Risk Taking ◽  
Academic Community ◽  
Moderating Effects ◽  
The Public ◽  
Industrial Enterprises ◽  
Unit Increase ◽  
Clinical Trial Results ◽  
Clinical Trial Activity

Result disclosure of clinical trial posts a conflicting logic between private secrecy and public interest. Despite ethical and legal requirements for disclosing clinical trial results, clinical trials’ sponsors tend to withhold the results. We explored the location, timing, and rationale behind the withheld clinical trial results. Based on the entrepreneurial orientation (EO) perspective, we propose that organizational EO contingencies moderate the disclosure decision. We used the completed clinical trial projects in China by foreign and domestic sponsors. First, we found that a unit increase in the sponsor’s experience can increase the disclosure about 1.01 times. Second, we found that industrial enterprises disclose results about 3.7 times more than universities do. Third, we found that foreign clinical trial projects in China tend to disclose 3.9 times more than domestic projects. We link these findings to two types of audience. First, we inform the academic community on the theory and empirics regarding risk-taking behavior in the biopharmaceutical industry’s clinical trial activity. Second, we address the general audiences concerned about the ethical and socioeconomic wellbeing of the public.

Take it to the (public) bank: The efficiency of public bank loans to private firms

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Anders Kärnä
Keyword(s):  
Economic Growth ◽  
Capital Markets ◽  
Firm Growth ◽  
Bank Loans ◽  
Government Interventions ◽  
The Public ◽  
Positive Effects ◽  
Economic Output ◽  
Unique Dataset

AbstractIncomplete capital markets and credit constraints for small and medium-sized enterprises (SMEs) are often considered obstacles to economic growth, thus motivating government interventions in capital markets. While such policies are common, it is less clear to what extent these interventions result in firm growth or to which firms interventions should be targeted. Using a unique dataset with information about state bank loans targeting credit-constrained SMEs in Sweden with and without complementary private bank loans, this paper contributes to the literature by studying how these loans affect the targeted firms for several outcome variables. The results suggest that the loans create a one-off increase in investments, with long-term, positive effects for sales and labor productivity but only for firms with 10 or fewer employees. Increased access to capital by firms can therefore produce increases in economic output but only in a specific type of firm. This insight is of key importance in designing policy if the aim is to increase economic growth.

scholarly journals Public Transit Loyalty Modeling Considering the Effect of Passengers’ Emotional Value: A Case Study in Xiamen, China

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Shi-chao Sun
Keyword(s):  
Structural Equation ◽  
Goodness Of Fit ◽  
Public Transit ◽  
Perceived Value ◽  
Index Score ◽  
The Public ◽  
Bus Service ◽  
Bus Services ◽  
Emotional Value

To better sustain passengers’ loyalty towards bus service, this paper addressed the modeling of the public transit loyalty by the use of structural equation model. As a novel hypothesis, the emotional value was considered to have effects on the perceived value of bus services in this study, which reflected the degree of passengers’ emotional dependence on the public transit. Specifically, in order to better assess the loyalty, seven unobserved variables were measured to construct the structural model, namely, “service guarantee,” “operational services and efficiency,” “emotional value,” “perceived value,” “expectation,” “satisfaction,” and “loyalty.” The goodness-of-fit of the model was estimated and evaluated by using the survey data harvested from Xiamen, China. Besides, the index score of variables was also computed to help determine targeted approaches to better improve the level of bus service. The results indicated that the time cost and the monetary cost actually had no effects on the perceived value of users in the case study. At the same time, however, it also proved that passengers’ emotional value towards the public transit indeed affected passengers’ perception of the service value. In addition, whether users’ perceived value was as expected determined how much passengers satisfied with the service. Regarding the index score of variables, it indicated a great dissatisfaction of passengers towards the current bus service. Unexpectedly, the score of loyalty even still retained a relatively high level, which reflected continue-to-use willingness of passengers. It implied that being subject to economic conditions and other factors, passengers were captive and had to continue relying on the public transit, in spite of their dissatisfaction. As for the improvement direction of bus services, targeted approaches should be determined to improve the quality of bus service, regarding the aspects of “condition of facilities in the bus,” “driving stability and comfort,” “vehicle speed,” and “safety.”

scholarly journals A Revised Model of Trust in Internet-Based Health Information and Advice: Cross-Sectional Questionnaire Study

10.2196/11125 ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. e11125
Author(s):  
Elizabeth Sillence ◽  
John Matthew Blythe ◽  
Pam Briggs ◽  
Mark Moss
Keyword(s):  
Goodness Of Fit ◽  
Online Survey ◽  
Patient Experiences ◽  
Model Fit ◽  
Key Factors ◽  
The United Kingdom ◽  
Personal Experiences ◽  
And Coping ◽  
Fit Index ◽  
Significant Direct Effect

Background The internet continues to offer new forms of support for health decision making. Government, charity, and commercial websites increasingly offer a platform for shared personal health experiences, and these are just some of the opportunities that have arisen in a largely unregulated arena. Understanding how people trust and act on this information has always been an important issue and remains so, particularly as the design practices of health websites continue to evolve and raise further concerns regarding their trustworthiness. Objective The aim of this study was to identify the key factors influencing US and UK citizens’ trust and intention to act on advice found on health websites and to understand the role of patient experiences. Methods A total of 1123 users took part in an online survey (625 from the United States and 498 from the United Kingdom). They were asked to recall their previous visit to a health website. The online survey consisted of an updated general Web trust questionnaire to account for personal experiences plus questions assessing key factors associated with trust in health websites (information corroboration and coping perception) and intention to act. We performed principal component analysis (PCA), then explored the relationship between the factor structure and outcomes by testing the fit to the sampled data using structural equation modeling (SEM). We also explored the model fit across US and UK populations. Results PCA of the general Web trust questionnaire revealed 4 trust factors: (1) personal experiences, (2) credibility and impartiality, (3) privacy, and (4) familiarity. In the final SEM model, trust was found to have a significant direct effect on intention to act (beta=.59; P<.001), and of the trust factors, only credibility and impartiality had a significant direct effect on trust (beta=.79; P<.001). The impact of personal experiences on trust was mediated through information corroboration (beta=.06; P=.04). Variables specific to electronic health (eHealth; information corroboration and coping) were found to substantially improve the model fit, and differences in information corroboration were found between US and UK samples. The final model accounting for all factors achieved a good fit (goodness-of-fit index [0.95], adjusted goodness-of-fit index [0.93], root mean square error of approximation [0.50], and comparative fit index [0.98]) and explained 65% of the variance in trust and 41% of the variance in intention to act. Conclusions Credibility and impartiality continue to be key predictors of trust in eHealth websites. Websites with patient experiences can positively influence trust but only if users first corroborate the information through other sources. The need for corroboration was weaker in the United Kingdom, where website familiarity reduced the need to check information elsewhere. These findings are discussed in relation to existing trust models, patient experiences, and health literacy.

Elucidating the Linkages Between Entrepreneurial Orientation and Local Government Sustainability Performance

2019 ◽  
Vol 50 (1) ◽  
pp. 92-109 ◽  
Author(s):  
Aaron Deslatte ◽  
William L. Swann
Keyword(s):  
Local Government ◽  
Risk Taking ◽  
Entrepreneurial Orientation ◽  
Local Governments ◽  
Nationwide Survey ◽  
The Public ◽  
Sustainability Performance ◽  
Public Managers ◽  
Antecedents And Consequences ◽  
And Performance

Linking strategic management to performance has been called essential for public managers to confront pernicious environmental and community problems in the 21st century. This article examines the role that an organization’s entrepreneurial orientation (EO) plays in the linkages between organizational capacities, strategies, and perceived performance. An EO is considered a key driver of a public organization’s willingness to engage in risk taking, innovation, and proactivity aimed at enhancing organizational routines, decision-making, and performance. Scholars have provided empirical guidance for the antecedents and consequences of entrepreneurialism in bureaucracy, yet we know little systematically about how EO links to strategies that may affect performance in the public sector. To investigate, we employ a mixed methods design using a nationwide survey of U.S. local governments and interviews with local government managers about their experiences in sustainability programs. Quantitatively, we find evidence for environmental factors of political and administrative capacities positively influencing EO, and that strategic activities of performance information use, venturing, and interorganizational collaboration mediate the relation between EO and perceived sustainability performance. Interviews corroborate these findings and illuminate how local government managers proactively engage stakeholders, consider risk taking, build capacity, and pursue innovation in sustainability.

A New Method for Evaluating Stochastic Models of Brand Choice

1970 ◽  
Vol 7 (3) ◽  
pp. 300-306 ◽  
Author(s):  
David A. Aaker
Keyword(s):  
Stochastic Models ◽  
Goodness Of Fit ◽  
Value Function ◽  
Choice Model ◽  
Brand Choice ◽  
Mean Value ◽  
Model Fit ◽  
New Method ◽  
Structural Comparison ◽  
Goodness Of Fit Test

This article explores the use of a brand choice stochastic model's mean value function in evaluating two models empirically, using a common set of purchase data. The linear learning model fit the data well, but its mean value function was not capable of making reasonable predictions of successive, aggregate purchasing statistics. Another brand choice model, the new trier model, was found to perform much better. The results suggest that model tests should not be restricted to the usual goodness-of-fit test, especially in situations of non-stationarity. A structural comparison of the two models focuses on their different approaches to nonstationarity.

Global finance as a politicized habitat

2017 ◽  
Vol 19 (2) ◽  
pp. 267-297 ◽  
Author(s):  
William Kindred Winecoff
Keyword(s):  
Financial Markets ◽  
Risk Taking ◽  
Financial Regulation ◽  
Theoretical Argument ◽  
Global Finance ◽  
Agent Model ◽  
The Public ◽  
Preferred Habitat ◽  
Micro Level ◽  
Risk Taking Behaviors

AbstractPredominant models of financial regulation based on representative agents—in both the public interest and public choice traditions—assume that competitive pressures in financial markets undermine prudential behavior by firms in the absence of regulation. One empirical expectation of these models is behavioral: firms should adjust their risk-taking behaviors in response to the regulatory environment they face but should not over-comply with regulations. That is, the central tendency of bank behaviors should hew closely to regulatory minima and the variance should be small. I first demonstrate that this expectation is not borne out by the empirical record and then advance a theoretical argument that does not rely on a representative agent model. I argue that firms face a range of incentives from markets and governments that condition their risk-taking behaviors, and firms choose a “preferred habitat” within a market structure. Some of these incentives are towards greater risk-taking, while others are in the direction of greater prudence. This framework provides opportunities for examining financial market actors in a realistic context, and offers ways to unify micro-level and structural analyses of the political economy of global finance.

scholarly journals How well does your model fit the data?

2001 ◽  
Vol 3 (1) ◽  
pp. 49-55 ◽  
Author(s):  
M. J. Hall
Keyword(s):  
Data Mining ◽  
Goodness Of Fit ◽  
Computer Modelling ◽  
Synthetic Data ◽  
Model Fit ◽  
Coefficient Of Determination ◽  
Input Output

Despite almost five decades of activity on the computer modelling of input–output relationships, little general agreement has emerged on appropriate indices for the goodness-of-fit of a model to a set of observations of the pertinent variables. The coefficient of efficiency, which is closely allied in form to the coefficient of determination, has been widely adopted in many data mining and modelling exercises. Values of this coefficient close to unity are taken as evidence of good matching between observed and computed flows. However, studies using synthetic data have demonstrated that negative values of the coefficient of efficiency can occur both in the presence of bias in computed outputs, and when the computed volume of flow greatly exceeds the observed volume of flow. In contrast, the coefficient of efficiency lacks discrimination for cases close to perfect reproduction. In the latter case, a coefficient based upon the first differences of the data proves to be more helpful.

Predicting Network Events to Assess Goodness of Fit of Relational Event Models

2019 ◽  
Vol 27 (4) ◽  
pp. 556-571 ◽  
Author(s):  
Laurence Brandenberger
Keyword(s):  
Goodness Of Fit ◽  
Temporal Dynamics ◽  
Simple Procedure ◽  
Model Fit ◽  
Network Characteristics ◽  
Event Sequences ◽  
Simulated Event ◽  
Unbiased Estimates ◽  
Event Models ◽  
Biased Estimates

Relational event models are becoming increasingly popular in modeling temporal dynamics of social networks. Due to their nature of combining survival analysis with network model terms, standard methods of assessing model fit are not suitable to determine if the models are specified sufficiently to prevent biased estimates. This paper tackles this problem by presenting a simple procedure for model-based simulations of relational events. Predictions are made based on survival probabilities and can be used to simulate new event sequences. Comparing these simulated event sequences to the original event sequence allows for in depth model comparisons (including parameter as well as model specifications) and testing of whether the model can replicate network characteristics sufficiently to allow for unbiased estimates.

scholarly journals Cutoff criteria for overall model fit indexes in generalized structured component analysis

2020 ◽  
Vol 8 (4) ◽  
pp. 189-202
Author(s):  
Gyeongcheol Cho ◽  
Heungsun Hwang ◽  
Marko Sarstedt ◽  
Christian M. Ringle
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Component Analysis ◽  
Model Fit ◽  
Equation Modeling ◽  
Generalized Structured Component Analysis ◽  
Root Mean Square Residual ◽  
Fit Indexes ◽  
Cutoff Criteria

AbstractGeneralized structured component analysis (GSCA) is a technically well-established approach to component-based structural equation modeling that allows for specifying and examining the relationships between observed variables and components thereof. GSCA provides overall fit indexes for model evaluation, including the goodness-of-fit index (GFI) and the standardized root mean square residual (SRMR). While these indexes have a solid standing in factor-based structural equation modeling, nothing is known about their performance in GSCA. Addressing this limitation, we present a simulation study’s results, which confirm that both GFI and SRMR indexes distinguish effectively between correct and misspecified models. Based on our findings, we propose rules-of-thumb cutoff criteria for each index in different sample sizes, which researchers could use to assess model fit in practice.

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