Impacts of Firm's Mimetic Isomorphic Behaviors on Customer Satisfaction from the Perspectives of Expectation Theory and Self-Determination Theory: An Approach of Hierarchical Linear Modeling

2014 ◽  
Author(s):  
Sheau Hwa Chen ◽  
Kuo Hsun Liao
Keyword(s):  
Customer Satisfaction ◽  
Hierarchical Linear Modeling ◽  
Self Determination Theory ◽  
Self Determination ◽  
Linear Modeling ◽  
Expectation Theory

scholarly journals Introductory Biology in Social Context: The Effects of an Issues-Based Laboratory Course on Biology Student Motivation

2019 ◽  
Vol 18 (3) ◽  
pp. ar30 ◽  
Author(s):  
Krissi M. Hewitt ◽  
Jana Bouwma-Gearhart ◽  
Heather Kitada ◽  
Robert Mason ◽  
Lori J. Kayes
Keyword(s):  
Hierarchical Linear Modeling ◽  
Student Motivation ◽  
Self Determination Theory ◽  
Self Determination ◽  
Control Group ◽  
Introductory Biology ◽  
Linear Modeling ◽  
Buffering Effect ◽  
Socially Relevant ◽  
Introductory Biology Course

We investigated the effects of a laboratory curriculum developed using the socio-­scientific issues (SSI) framework to contextualize scientific and socially relevant issues for students. Using self-determination theory and hierarchical linear modeling, we examined the effects of the SSI curriculum relative to a control curriculum on student motivation in a large introductory biology course for life science majors. The SSI group had a significant increase in motivation for engaging in the laboratory work relative to motivation of the control group. Additionally, the SSI group showed higher levels of more autonomous forms of regulation concerning participation in laboratory tasks compared with the control group. Interestingly, the SSI-based curriculum seemed to have a buffering effect on typically observed decreases in student motivation over the course of a term. This buffering effect could potentially indicate greater self-determination in students experiencing an SSI-based curriculum, which could lead to greater student success and persistence. Qualitative data suggest that this increased motivation of the SSI group relative to the control group is due to enhanced feelings of relatedness experienced by students, likely due to the SSI.

Customer Satisfaction Towards Online Shopping by Empirical Validation of Self-Determination Theory

2022 ◽  
pp. 177-203
Author(s):  
Urvashi Tandon ◽  
Myriam Ertz
Keyword(s):  
Social Media ◽  
Customer Satisfaction ◽  
Social Influence ◽  
Reverse Logistics ◽  
Online Shopping ◽  
Positive Impact ◽  
Self Determination Theory ◽  
Self Determination ◽  
Online Shoppers ◽  
Perceived Enjoyment

The chapter aims at understanding the predictors of customer satisfaction with online shopping in India by using self-determination theory. This research validates perceived enjoyment, social influence, social media interactions, reverse logistics, and pay-on-delivery (POD) mode of payment as new predictors of customer satisfaction in online shopping. Data was collected through a self-administered and structured questionnaire targeting online shoppers in North Indian states. A sample of 424 online shoppers was considered in this research. Structural equation modelling (SEM) was used to evaluate the constructs. CFA was applied to calculate validity and composite reliability. To examine the hypothesized relationships, path analysis was carried out. The findings of the chapter revealed that social influence, reverse logistics, and POD mode of payment had a significant positive impact on customer satisfaction. Perceived enjoyment emerged as the strongest predictor of online shopping satisfaction. In contrast, social media interactions emerged as non-significant.

The impact of motivation on customer satisfaction formation: a self-determination perspective

2015 ◽  
Vol 49 (11/12) ◽  
pp. 1923-1940 ◽  
Author(s):  
Christopher White
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Positive Emotions ◽  
Self Determination Theory ◽  
Self Determination ◽  
Content Type ◽  
Two Stages ◽  
The Impact ◽  
First Time

Purpose – The purpose of the study is to examine the way different motivational types from Self-Determination Theory (SDT) influence antecedents of customer satisfaction. Design/methodology/approach – The findings in this study were generated with a quantitative design using path analysis on data collected at two stages during an extended service encounter. Findings – Each motivation type played a unique and important role in influencing the antecedents of satisfaction, namely, positive and negative emotions and perceptions of service quality. As hypothesised, motives associated with higher levels of autonomy were consistently stronger predictors of positive emotions and service quality. The influence of motives on the antecedents did not change significantly over time, whereas significant differences were noted between all antecedents and satisfaction. The model explained 54 and 63 per cent of the variance in satisfaction in times one and two, respectively. Originality/value – This is the first time that motivation as conceptualised from an SDT perspective has been applied to understanding the dynamic nature of customer satisfaction. The findings offer considerable opportunities for follow-up studies and the motivation types can provide practitioners with a stable and efficient segmentation option.

Logistics as a value in e-commerce and its influence on satisfaction in industries: a multilevel analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arkadiusz Kawa ◽  
Justyna Światowiec-Szczpańska
Keyword(s):  
Customer Satisfaction ◽  
Hierarchical Linear Modeling ◽  
Value Chain ◽  
Service Level ◽  
Computer Assisted ◽  
Linear Modeling ◽  
Content Type ◽  
Moderation Effect ◽  
Telephone Interviews ◽  
Sustainable Value

Purpose The purpose of this paper is to identify the components of logistics value and examine their influence on customer satisfaction in e-commerce. This study investigates the moderation effect between those two variables using the overall service level in the different industries of e-commerce. Design/methodology/approach A total of 592 correctly filled questionnaires from telephone and web interviews (computer-assisted telephone interviews and computer-assisted web interviews) were scrutinized. Hierarchical linear modeling (as a part of a wider group of multilevel modeling studies) was used to verify the dependencies between variables from an organization and industry levels. Findings The logistics factors indicated and described in the paper differently affect the value for the customer. This value is subjective and dynamic. For this reason, the online seller should develop a system to create a sustainable value proposition. It is plausible due to the possibility of choosing the type of delivery, date of collection and change thereof, as well as that of returning the product. Because of all this, the customer decides on the way of the order execution and creates the value chain. Research limitations/implications The developed model is aimed at identifying universal relationships that create the customer satisfaction mechanism for the logistics value. However, this may result in other aspects of customer satisfaction being neglected. The authors are aware that the creation of value by a company in e-commerce must be approached in a systematic manner. Practical implications The results obtained and the representativeness of the surveyed sample of companies lead to the formulation of implications for business practice. The conclusions of the research definitely indicate a need to build awareness of logistics value and its influence on customer satisfaction through the service level in the industry. Because of the identified components of the logistics value and industry characteristics, managers of online retailers can better run their businesses, increase customer satisfaction, and thus improve their performance. Originality/value It is the first study that concerns e-commerce in individual industries, with particular emphasis on logistics and its impact on customer satisfaction.

Frustration and Violence in Mobile Video Games

2020 ◽  
Vol 79 (2) ◽  
pp. 63-70
Author(s):  
Petr Květon ◽  
Martin Jelínek
Keyword(s):  
Video Games ◽  
Video Game ◽  
Implicit Association Test ◽  
Self Determination Theory ◽  
Psychological Needs ◽  
Basic Psychological Needs ◽  
Self Determination ◽  
Mobile Video ◽  
Violent Content ◽  
Before And After

Abstract. This study tests two competing hypotheses, one based on the general aggression model (GAM), the other on the self-determination theory (SDT). GAM suggests that the crucial factor in video games leading to increased aggressiveness is their violent content; SDT contends that gaming is associated with aggression because of the frustration of basic psychological needs. We used a 2×2 between-subject experimental design with a sample of 128 undergraduates. We assigned each participant randomly to one experimental condition defined by a particular video game, using four mobile video games differing in the degree of violence and in the level of their frustration-invoking gameplay. Aggressiveness was measured using the implicit association test (IAT), administered before and after the playing of a video game. We found no evidence of an association between implicit aggressiveness and violent content or frustrating gameplay.

Modeling Self-Determination Theory Motivation Data by Using Unfolding IRT

2020 ◽  
pp. 1-9
Author(s):  
Philipp A. Freund ◽  
Annette Lohbeck
Keyword(s):  
Ideal Point ◽  
Self Determination Theory ◽  
Self Determination ◽  
Dominance Model ◽  
Irt Model ◽  
Autonomous Behavior ◽  
Location Parameters ◽  
Unfolding Models ◽  
Using Data ◽  
Item Location

Abstract. Self-determination theory (SDT) suggests that the degree of autonomous behavior regulation is a characteristic of distinct motivation types which thus can be ordered on the so-called Autonomy-Control Continuum (ACC). The present study employs an item response theory (IRT) model under the ideal point response/unfolding paradigm in order to model the response process to SDT motivation items in theoretical accordance with the ACC. Using data from two independent student samples (measuring SDT motivation for the academic subjects of Mathematics and German as a native language), it was found that an unfolding model exhibited a relatively better fit compared to a dominance model. The item location parameters under the unfolding paradigm showed clusters of items representing the different regulation types on the ACC to be (almost perfectly) empirically separable, as suggested by SDT. Besides theoretical implications, perspectives for the application of ideal point response/unfolding models in the development of measures for non-cognitive constructs are addressed.

The Relationship Between Leader–Member Exchange and Employees’ Proactive Behaviors

2019 ◽  
Vol 18 (2) ◽  
pp. 106-111
Author(s):  
Fong-Yi Lai ◽  
Szu-Chi Lu ◽  
Cheng-Chen Lin ◽  
Yu-Chin Lee
Keyword(s):  
Hierarchical Linear Modeling ◽  
Future Research ◽  
Leader Member Exchange ◽  
Voice Behavior ◽  
Linear Modeling ◽  
Team Members ◽  
Member Exchange ◽  
Multi Temporal ◽  
The Relationship ◽  
Practical Implications

Abstract. The present study proposed that, unlike prior leader–member exchange (LMX) research which often implicitly assumed that each leader develops equal-quality relationships with their supervisors (leader’s LMX; LLX), every leader develops different relationships with their supervisors and, in turn, receive different amounts of resources. Moreover, these differentiated relationships with superiors will influence how leader–member relationship quality affects team members’ voice and creativity. We adopted a multi-temporal (three wave) and multi-source (leaders and employees) research design. Hypotheses were tested on a sample of 227 bank employees working in 52 departments. Results of the hierarchical linear modeling (HLM) analysis showed that LLX moderates the relationship between LMX and team members’ voice behavior and creative performance. Strengths, limitations, practical implications, and directions for future research are discussed.

Sign in / Sign up

Export Citation Format

Share Document