Interorganisational Networks of Pressure and Influence

2010 ◽  
Vol 3 (1) ◽  
pp. 13-27
Author(s):  
Savanid Vatanasakdakul ◽  
Chadi Aoun
Keyword(s):  
Significant Influence ◽  
Social Factors ◽  
Least Squares Method ◽  
Effective Diffusion ◽  
Tourism Industry ◽  
New Paradigm ◽  
Normative Pressure ◽  
The Social ◽  
And Performance ◽  
Partial Least Squares Method

The old paradigm in technology adoption focuses on the technical implementation and uptake of innovation. A new paradigm has emerged that considers the social, cultural, and political context in which innovation is implemented and addresses the enablers and constraints to its effective diffusion and utilisation. To that end, we apply the institutional theory as a social lens to examine the diffusion of B2B technology in Thailand. This study posits that mimetic, coercive and normative pressures may influence B2B technology utilisation and performance. Data were collected from firms that have adopted B2B technology in the tourism industry. The Partial Least Squares method was used for data analysis. Results show that normative and coercive pressures had a significant influence on firms’ utilisation of B2B technology, while normative pressure had a significant influence on performance. We conclude by hypothesising that only through addressing the social factors can innovation achieve ‘real’ diffusion and effectiveness.

The impact of asymmetry on performance in different collaboration and integration environments in supply chain management

2018 ◽  
Vol 23 (1) ◽  
pp. 33-49 ◽  
Author(s):  
Marek Michalski ◽  
Jose-Luis Montes-Botella ◽  
Ram Narasimhan
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Least Squares Method ◽  
Chain Management ◽  
Content Type ◽  
Non Linear ◽  
Improved Performance ◽  
And Performance ◽  
Partial Least Squares Method ◽  
The Impact

Purpose This paper aims to examine the non-linear aspects of the relationship between asymmetry and performance in supply chains (SCs), under varying intensities of collaboration and integration. Design/methodology/approach The paper offers a useful new approach to designing strategic elements of supply chain management (SCM) relationships. Using the partial least squares method, an empirical study of 66 companies in Spain has been conducted to clarify contemporary relationships, suggest new directions and ultimately contribute toward developing SCM theory. Findings The influences of asymmetry on performance in varying collaboration and integration contexts are shown to be unstable and have non-linear paths. It is inappropriate for all firms to collaborate or integrate continually, even for a prescribed period. Furthermore, due to asymmetry, SCM processes are more complex. Research limitations/implications The results’ validity may be limited to contexts specific to Spanish SCs. It would be valuable to investigate the impact of asymmetry on firms’ performance and relationships in other markets. Practical implications Collaborations and integration between partners in a SC might change the role of asymmetry from restraining to improving performance. The best way to improve performance in asymmetric relationships is to collaborate. Certain dimensions of integration and full integration are not necessarily required to improve firms’ performance under asymmetry conditions. Originality/value The study adds a new viewpoint on SCM by suggesting that not all collaboration and integration developments lead directly to improved performance.

scholarly journals Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Jing Chao ◽  
Zhang Jinxi
Keyword(s):  
High Temperature ◽  
Environmental Factors ◽  
Least Squares Method ◽  
Asphalt Pavement ◽  
Temperature Data ◽  
Environmental Data ◽  
Strongly Correlated ◽  
Pavement Temperature ◽  
And Performance ◽  
Partial Least Squares Method

Asphalt pavement temperatures greatly influence on the bearing capacity and performance, especially in high-temperature season. The variation rules of pavement temperatures under the high-temperature range affect the design and maintenance management of the asphalt pavement, as well as the accurate prediction for pavement temperatures. However, asphalt pavement temperature is greatly affected by various strongly correlated environmental factors and cannot be measured directly or predicted effectively. In this project, temperature sensors were embedded in the pavement of in-service road to collect temperature data by continuous record measurement, and regression model was conducted by the partial least squares method through comprehensive analysis on the pavement temperature data and synchronously environmental data from local weather station measured in July 2013, July 2014, and July 2015. The quantitative relationships in high-temperature season between environmental factors and pavement temperature were determined, and a model was established to predict the temperature of asphalt pavement based on environmental data. The model was verified by the recorded data from July 1, 2016, to July 31, 2016, and the results indicated that the pavement temperature can be predicted accurately and reliably by the proposed model.

scholarly journals Structure Of Latent Factors In The Learning Of Statistics

2009 ◽  
Vol 6 (3) ◽  
Author(s):  
Manuel Vargas-Vargas ◽  
Jose Mondejar-Jimenez
Keyword(s):  
Least Squares Method ◽  
Covariance Structure ◽  
Structural Equations ◽  
Latent Factors ◽  
Affective Factors ◽  
The Social ◽  
Attitudes Toward Statistics ◽  
Almost All ◽  
Structural Equations Model ◽  
Partial Least Squares Method

Today, almost all curricula in the social sciences contain at least one course in statistics, given its importance as an analytical tool. This work identifies the latent factors relating to students’ motivation and attitudes toward statistics and tests their covariance structure. Specifically using a structural equations model, the work confirms that the evaluative factors affect the affective factors and the interest variable affects the level of anxiety. The findings obtained using the partial least squares method allow the authors to confirm the proposed relations and validate the model.

Social Loafing

2020 ◽  
pp. 266-283
Author(s):  
Selcen Seda Turksoy
Keyword(s):  
Customer Satisfaction ◽  
Tourism Industry ◽  
Social Loafing ◽  
Quality Service ◽  
Expected Performance ◽  
The Social ◽  
And Performance ◽  
Working Alone

The performance of an employee is quite important for the organizations encountering a severe competition in today's conditions. For the tourism establishments, in which the number of the employees is quite high, providing innovative and quality service, meeting the customer satisfaction, is directly related to the performance of the employee. However, a part of the employees cannot display the expected performance. In literature, this situation is explained as social loafing. In literature, social loafing is the tendency of individuals to expend less effort when working in groups than when working alone. This undesirable situation for the tourism establishments decreases productivity and performance of the business. In the study, firstly the concept of social loafing, the approaches explaining social loafing, the first researches in the literature, and social loafing in the workplace are summarized. Then, the social loafing phenomenon in tourism industry, the studies carried out regarding this subject, and the preventive suggestions for social loafing are given place.

scholarly journals Persuasive Robots Acceptance Model (PRAM): Roles of Social Responses Within the Acceptance Model of Persuasive Robots

2020 ◽  
Vol 12 (5) ◽  
pp. 1075-1092 ◽  
Author(s):  
Aimi Shazwani Ghazali ◽  
Jaap Ham ◽  
Emilia Barakova ◽  
Panos Markopoulos
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Least Squares Method ◽  
Psychological Reactance ◽  
Social Responses ◽  
Wizard Of Oz ◽  
The Social ◽  
Acceptance Model ◽  
Trusting Beliefs ◽  
Partial Least Squares Method

Abstract In the last years, there have been rapid developments in social robotics, which bring about the prospect of their application as persuasive robots to support behavior change. In order to guide related developments and pave the way for their adoption, it is important to understand the factors that influence the acceptance of social robots as persuasive agents. This study extends the technology acceptance model by including measures of social responses. The social responses include trusting belief, compliance, liking, and psychological reactance. Using the Wizard of Oz method, a laboratory experiment was conducted to evaluate user acceptance and social responses towards a social robot called SociBot. This robot was used as a persuasive agent in making decisions in donating to charities. Using partial least squares method, results showed that trusting beliefs and liking towards the robot significantly add the predictive power of the acceptance model of persuasive robots. However, due to the limitations of the study design, psychological reactance and compliance were not found to contribute to the prediction of persuasive robots’ acceptance. Implications for the development of persuasive robots are discussed.

scholarly journals Does team diversity really matter? The connection between networks, access to financial resources, and performance in the context of university spin-offs

2020 ◽  
Author(s):  
Petra Moog ◽  
Christian Soost
Keyword(s):  
Least Squares Method ◽  
Financial Resources ◽  
Team Composition ◽  
Mediation Model ◽  
Ongoing Debate ◽  
Team Diversity ◽  
Team Characteristics ◽  
And Performance ◽  
Partial Least Squares Method ◽  
Scientific Environment

Abstract University spin-offs (USOs) are an important driver for innovation, along with economic and social development. Hence, understanding which factors help them perform successfully is crucial, especially regarding their peculiarities in a scientific environment. This study focuses on essential factors such as team composition and diversity in USOs in the biotech sector in 64 founding teams in Switzerland and Germany. By identifying the team composition, and going beyond the usual team characteristics, along with checking in parallel for network and financing effects, the paper adds empirical evidence to the ongoing debate if and how team diversity in USOs affects the performance of this special group of newly founded firms. We test our hypotheses with the partial least squares method (PLS). Our results from the mediation model show how the diversity of teams is related to networks and financial resources and affects the performance. In addition, our study reveals the direct and indirect effects of team diversity on success in USOs. This way we contribute to the ongoing discussion on performance investigating the sources of team effects more in detail.

Domestic Integration and Suicide in the Provinces of Canada

Crisis ◽  
1999 ◽  
Vol 20 (2) ◽  
pp. 59-63 ◽  
Author(s):  
Antoon A. Leenaars ◽  
David Lester
Keyword(s):  
Social Factors ◽  
Positive Association ◽  
Negative Association ◽  
Birth Rates ◽  
Marriage Rates ◽  
Suicide Rates ◽  
The Social ◽  
Divorce Rates ◽  
Low Levels ◽  
Over Time

Canada's rate of suicide varies from province to province. The classical theory of suicide, which attempts to explain the social suicide rate, stems from Durkheim, who argued that low levels of social integration and regulation are associated with high rates of suicide. The present study explored whether social factors (divorce, marriage, and birth rates) do in fact predict suicide rates over time for each province (period studied: 1950-1990). The results showed a positive association between divorce rates and suicide rates, and a negative association between birth rates and suicide rates. Marriage rates showed no consistent association, an anomaly as compared to research from other nations.

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