scholarly journals A Two-Stage SEM—Artificial Neural Network Analysis of the Rewards Effects on Self Perceived Performance in Healthcare

Author(s):  
Claudiu George Bocean ◽  
Cristina Claudia Rotea ◽  
Anca Antoaneta Vărzaru ◽  
Andra-Nicoleta Ploscaru ◽  
Cătălin-Ștefan Rotea

Healthcare managers consider the rewards and performances of employees as central elements of their activities due to the challenges caused by the phenomenon of healthcare employees’ emigrating to higher-income countries, which has reduced patient satisfaction and led to a negative image of hospitals. In this context, this paper analyzes how employee rewards influence the employees’ self-perceived performances in the hospital units of the emergency medical system in Romania. Using structural equation modeling, we analyzed the relationships between the investigated variables, showing that financial motivation and the recognition of employees’ merits are central to employees’ self-perceived performances. Ensuring equity also has a positive impact on how the reward package is established and managed. While financial rewards are the most important incentives to increase efforts to exhibit higher performances, recognition has a long-term motivational effect.

2014 ◽  
Vol 25 (2) ◽  
pp. 270-288 ◽  
Author(s):  
Adriana Rossiter Hofer ◽  
Ronn J. Smith ◽  
Paul R. Murphy

Purpose – The central tenet of this paper is that a firm's efforts to nurture a long-term relationship with a third-party logistics (3PLs) will be influenced by its strategic orientation toward its own customers. The purpose of this paper is to propose that there will be a spillover effect of a firm's relationship marketing orientation (RMO) toward its customers on the nature of a firm's relationship with its 3PL, positively impacting its logistics performance. Design/methodology/approach – A survey was administered to logistics managers in Brazilian firms that employ the services of a large 3PL. The model was tested via structural equation modeling. Findings – Results of this research suggest that a firm's RMO toward its customers has a positive impact on the long-term orientation (LTO) toward the relationship with its 3PL, ultimately improving the firm's operations performance. Additionally, the findings reveal that the positive effect of RMO on LTO is stronger for higher levels of a firm's dependence on its 3PL. Research limitations/implications – The results provide initial evidence that when a RMO is embedded in a firm's strategies toward its customers, there will be spillover effects on both the nature and outcomes of relationships with other partners, such as 3PLs. Research limitations include the survey implementation in an emerging market, and surveying clients of a single 3PL. Practical implications – From the perspective of the 3PL, when selecting new clients, it is important to investigate how these potential clients relate to their own customers. In other words, 3PLs should investigate whether these potential clients embrace RMO toward their downstream customers. If that is the case, the client will be more likely to have LTO with the 3PLs with which it works. Originality/value – While most studies in logistics outsourcing demonstrate that interorganizational conditions are key determinants of long-term and collaborative relationships with 3PLs, this study provides initial evidence that when a strategic orientation – RMO – is embedded in a firm's strategies and operations toward its customers, there will be spillover effects on both the nature and outcomes of relationships with 3PLs as well.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Berrin Arzu Eren

PurposeThis study aims to investigates customer satisfaction from the use of bank chatbots and the effect of perceived trust in chatbots and banks' reputation on customer satisfaction.Design/methodology/approachA survey is conducted in Turkey involving 240 customers who experienced banking transactions using a chatbot. Partial least squares structural equation modeling (PLS-SEM) is used to investigate the relationships between the variables. The data were analyzed using SPSS 21 and SmartPLS programs.FindingsPerceived performance, perceived trust and corporate reputation significantly affect customer satisfaction with chatbot use. Customer expectations and confirmation of customer expectations have no direct impact on customer satisfaction, but customer expectations positively affect perceived performance. Customer expectations exert an indirect influence on customer satisfaction through perceived performance. Perceived performance has a positive impact on the confirmation of customer expectations, but customer expectations do not significantly impact the confirmation of customer expectations.Research limitations/implicationsThis study relies on a limited number of participants. Moreover, its sample is not representative of the target population due to the convenience sampling technique. Even if the results may not be generalized to the entire population of Turkey, they reflect the reality of emerging markets with relatively high technology sensitivity and a young population.Practical implicationsThe results provide new insights regarding banking service delivery channels, which may be of interest to professionals, academics, banks' top management, product development teams, design teams and customer satisfaction units.Social implicationsThis study is believed to help the community make their lives easier by providing them with knowledge and awareness about chatbots.Originality/valueThis study extends expectations confirmation theory's predictions to chatbot use in banking.


2020 ◽  
Vol 4 (4) ◽  
pp. 55-74
Author(s):  
Faqeer Muhammad ◽  
Kifayat Ullah ◽  
Rehmat Karim

This study aims to explore the influence of Natural Resources and Environment (NRE), Politico-Economic Conditions (PEC) on Tourist Behavioral Intension (TBI) in Hunza, Pakistan. The study further investigates the mediating role of Tourist Satisfaction (TS) on the given variables. Partial Least Square Structural Equation Modeling (PLS-SEM) technique has been applied to conceptualize the research frame and to test the proposed hypotheses. Primary data was collected by using convenient sampling technique for analysis from 220 tourists who visited tourism nucleus sites of Hunza. The finding of the study reveals that Natural resources and Environment, Politico-and Economic Conditions have a significant positive impact on Tourist’s Behavioral Intensions. Moreover, Tourist’s Satisfaction partially mediates the positive relationships among Natural Resources and Environment, Political & Economic Conditions and Tourist’s Behavioral Intensions. The findings of the study extend the understanding that presence of natural resources along with healthy environment and stable political & economic conditions of a destination are the key determinants for sustainable tourism development.


2021 ◽  
Vol 16 (5) ◽  
pp. 1612-1630
Author(s):  
Salvador Bueno ◽  
M. Dolores Gallego

This study is focused on communications that come from consumer-to-consumer (C2C) ecommerce relationships. This topic is directly associated with the electronic word-of-mouth (eWOM) phenomenon. eWOM is related to the set of positive or negative opinions made by potential, actual, or former customers about a seller. The present study proposes a structural equation modeling with partial least squares (PLS-SEM) research model to analyze consumers’ opinions impact on attitude toward purchasing. This model is based on the Information Adoption Model (IAM) in combination with an ecommerce satisfaction perspective, comprising five constructs: (1) service quality, (2) ecommerce satisfaction, (3) argument quality, (4) source credibility and (5) purchase intention. The model was tested by applying the Smart Partial Least Squares (SmartPLS) software for which 116 effective data from customers of the Taobao C2C platform were used. The findings reveal that all of the defined relationships were supported, confirming the positive impact of all the proposed constructs on the purchase intention. In this respect, the findings suggest that C2C platforms should strengthen the analyzed connections to grow the business and to promote transactions. Finally, implications and limitations related to the explanatory capacity and the sample are identified.


2020 ◽  
Vol 2 (1) ◽  
pp. 37-44
Author(s):  
Koawo Edjah ◽  
Francis Ankomah ◽  
Ebenezer Domey ◽  
John Ekow Laryea

AbstractStress is concomitant with students’ life and can have a significant impact on their lives, and even how they go about their academic work. Globally, in every five visits by patients to the doctor, three are stress-related problems. This study examined stress and its impact on the academic and social life among students of a university in Ghana. The descriptive cross-sectional survey design was employed. Using the stratified and simple random (random numbers) sampling methods, 500 regular undergraduate students were engaged in the study. A questionnaire made up of Perceived Stress Scale and Students’ Life Satisfaction Scale was used to gather data for the study. Frequencies, percentages, means and standard deviation, and Structural Equation Modeling (SEM), with AMOS were used for the analyses. It was found that majority of the students were moderately stressed. Paramount among the stressors were academic stressors, followed by institutional stressors, and external stressors. Stress had a significant positive impact on the academic and social life of students. It was concluded that undergraduate students, in one way or the other, go through some kind of stress during the course of their study. It was recommended that the university, through its Students’ Affairs, and Counselling Sections, continue to empower students on how to manage and deal with stress in order to enhance their academic life.


2021 ◽  
Vol 13 (5) ◽  
pp. 2506
Author(s):  
Hongpeng Guo ◽  
Shuang Xu ◽  
Xiaotong Wang ◽  
Wen Shu ◽  
Jia Chen ◽  
...  

In recent years, the unsustainable behaviors of straw utilization have led to waste straw being one of the sources of agricultural non-point source pollution. Studying the resource utilization of crop straw is conducive to expediate the development of ecological and green agriculture. More importantly, it has long-term significance for the recycling of agricultural waste, improving the quality of rural life, and the employment of farmers. Based on the theory of planned behavior (TPB), taking the representative survey questionnaire of farmers in Jilin Province, China as the sample, the structural equation model (SEM) was constructed to study the main factors that drive the utilization behaviors of straw resources of farmers and to explore the driving mechanism of the farmers behaviors in Jilin Province. The results show that the behavioral attitude and subjective norms of farmers in Jilin Province not only indirectly affect their actual behaviors through behavioral willingness, but also has significant direct effects on their behaviors. The most critical factors that affect the willingness of farmers to utilize the straw resources in Jilin Province are subjective norms and moral responsibilities. The subjective norms of farmers have a direct and significant positive impact on their willingness and behaviors. Behavioral attitude and perceived behavior control have a significant positive impact on their willingness. The behavioral willingness has a significant positive impact on their actual behaviors. This study provides guidance for the utilization of straw resources policy implications.


2019 ◽  
Vol 12 (1) ◽  
pp. 187 ◽  
Author(s):  
Ovidiu I. Moisescu ◽  
Oana A. Gică ◽  
Victor O. Müller ◽  
Camelia Ancuța Müller

This paper investigates how customer loyalty can be enhanced by improving customers’ perceptions of corporate fairness towards public authorities, taking into account the mediating role of customer-company identification, in a multi-sectorial context, in a developing country in Central and Eastern Europe. The investigation is conducted comparatively within four main industries (telecom services, retail banking services, dairy products and personal care products) and depicts the particular impact these perceptions have on customer loyalty in each domain, with practical implications concerning corporate social responsibility (CSR) communications. A consumer survey was designed and implemented among a sample of 1464 customers from Romania. The collected data was analyzed by means of partial least squares structural equation modeling (PLS-SEM). We found that customers’ perception of corporate fairness towards public authorities has a significant and positive impact on customer loyalty in all investigated industries, both directly and indirectly via customer-company identification, with a higher impact for services, especially for retail banking services.


Author(s):  
Kardison Lumbanbatu ◽  
Vincent Didiek Wiet Aryanto

Encompassing firms to apply green policy in a holistic management practices are strongly required in order to maintain competitive advantages and experience long-term marketing performance. This current empirical research is aimed to fill the lack of empirical findings and empirical studies on firm's innovative concept. Green-based product innovation, green management practices and green corporate image are presented as the antecedents and postulated as the sources of sustaining firm competitive advantages. A questionnaire-based survey was deployed to collect data from Large Scale Enterprises in Indonesia with Top Management, Operational and Marketing Managers served as respondents. 500 questionnaires were mailed and 388 were valid for further analysis. Data was analyzed by using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) via AMOS statistical software. Statistical findings demonstrated that green-based product innovation, green management practices and green corporate image significantly has a positive affect to sustain firm competitive advantages which is led to enhance long term marketing performance. However, green-based product innovation plays insignificant direct relationship on long term marketing performance. This study discusses some managerial implications for enterprises and recommendations on a basis of green implementation.


SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402098886
Author(s):  
Yin Ma ◽  
Shih-Chih Chen ◽  
Athapol Ruangkanjanases

Green human capital (GHC) is regarded as one of the primary attributes individuals need to develop in the era of environmental degradation. Many existing studies indicate that it is probably an important indicator of employees’ satisfaction in the workplace. Thus, based on trait theory and ability–motivation–opportunity theory, the current study examines the antecedents and outcomes of GHC among 630 employees from the manufacturing and service companies in Guangdong Province. The research employs Big Five personality and green training as the predictors of GHC, and job satisfaction as the outcome variable. Partial least squares structural equation modeling is used to analyze the data. The findings show that, in Big Five personality domains, only agreeableness and openness have a positive as well as significant impact on the individuals’ GHC, and that green training also has a positive influence on the GHC. GHC has a positive impact on the employees’ job satisfaction. The research findings and managerial implications are then discussed in detail.


2015 ◽  
Vol 4 (1) ◽  
pp. 113 ◽  
Author(s):  
Hossein Gholizadeh ◽  
Ali Bonyadi Naeini ◽  
Alireza Moini

Absorption capacity of knowledge is the concept which is been introduced in this situation. This phenomenon describes why some countries are in a better condition with a view to technology. Many countries believe that the power to stay in the battle and excel other competitors directly depends on their abilities in taking knowledge. Many countries have used their technological gap with developed countries as an accelerator for improving their absorption capacity. In this study, authors tried to produce a complete definition for absorption capacity through analyzing different research. Then with using expert opinions, a categorization for dimensions of absorption capacity will be prepared by using the structural equation modeling analysis, and finally a model for measuring absorption capacity is suggested. The results show effective dimensions in 5 different section. Studies depict that the most important one is keeping which could be a fundamental for long-term policies of 1404.


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