scholarly journals Factors Affecting Energy-Efficient Household Products Buying Intention: Empirical Study

2019 ◽  
Vol 23 (1) ◽  
pp. 84-97 ◽  
Author(s):  
Syed S. Alam ◽  
Chieh-Yu Lin ◽  
Maisarah Ahmad ◽  
Nor A. Omar ◽  
Mohd H. Ali
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Energy Efficient ◽  
Factors Affecting ◽  
Green Consumption ◽  
Household Products ◽  
Using Data ◽  
Control Knowledge ◽  
Reasonable Price

Abstract The aim of this study is to identify the factors affecting behavioural intention in buying energy-efficient household products in Malaysia. The extended Theory of Planned Behaviour (TPB) was tested in this research. Five hypotheses were tested using data derived from 336 residences in Malaysia. The hypothesized model incorporates knowledge and reasonable price into the conventional (TPB) model. Multiple regression analysis was used to examine the relationship between the independent and dependent variables. The results of the multiple regression analysis show that attitude, subjective norm, perceived behavioural control, knowledge and reasonable price have significant and positive effect on energy-efficient household product buying intention among residences in Malaysia. This research results provide insights for companies for promotion of green technological products and in strategizing to motivate residence in Malaysia to embrace green consumption behaviour.

scholarly journals Factors that affect employee motivation at Bentre Import Export Joint- stock Corporation (Betrimex)

2020 ◽  
Vol 5 (1) ◽  
pp. first
Author(s):  
Huỳnh Thanh Tú ◽  
Ung Hoàng Khang
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Working Conditions ◽  
Work Performance ◽  
Employee Motivation ◽  
Factors Affecting ◽  
Research Results ◽  
Exploratory Data ◽  
Stock Corporation

The research on factors that affect employee motivation at Bentre Import Export Joint- stock Corporation (Betrimex) has special significance in motivating employees, attracting and retaining talent, thereby helping the Corporation improve work performance. During the research, 300 employees working at Betrimex were surveyed and 250 employees with valid answer sheets were selected, survey data was processed with the SPSS software and the research model through scale reliability analysis, exploratory data analysis, correlation analysis and multiple regression analysis was tested. The research results have shown 07 factors affecting employee motivation at Betrimex, measured through 37 observed variables and including the pay, bonuses, benefits, allowances, working conditions, relationships with colleagues and relationships with superiors. Where the pay (b = 0.403) is the factor that has the most powerful influence on employee motivation and working conditions (b = 0.171) have the least influence on employee motivation. The results of multiple regression analysis have also showed that the adjusted R2 is 0.732. Thus, 07 independent variables can explain 73.2% of the variations of the dependent variables. Also, the research results have tremendous implications for developing strategies and plans for human resources development of Betrimex in the future.

DETERMINING SIGNIFICANT FACTORS AFFECTING GREEN BUILDING PRICE USING MULTIPLE REGRESSION ANALYSIS

2020 ◽  
Vol 7 (2) ◽  
pp. 61
Author(s):  
Nur Syafiqah Jamil ◽  
Thuraiya Mohd ◽  
Suraya Masrom
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
House Prices ◽  
Spillover Effect ◽  
Green Building ◽  
Factors Affecting ◽  
Klang Valley ◽  
Empirical Experiment ◽  
Significant Factors

The green building (GB) can be defined as the method of increasing the efficiency of the building and site. However, the spillover effect of GB price in Malaysia has not widely been discovered as there are limited case studies on this issue. This paper attempts to determine the significant factors that influence the GB price. The empirical experiment has been conducted to test the Multiple Regression Analysis (MRA) model on a real dataset of house prices in the area of Klang Valley, Selangor with GB specifications. The result showed that factors related to tenure have significant contributions to the GB price

scholarly journals Multiple Regression Analysis of Factors Affecting the Mental Component Score Constituents of SF-36 in Adult Spinal Deformity

2016 ◽  
Vol 6 (1_suppl) ◽  
pp. s-0036-1583073-s-0036-1583073
Author(s):  
Selim Ayhan ◽  
Selcem Yuksel ◽  
Asli Niyazi ◽  
Vugar Nabiyev ◽  
Ümit Özgür Güler ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Spinal Deformity ◽  
Adult Spinal Deformity ◽  
Mental Component Score ◽  
Factors Affecting ◽  
Component Score ◽  
Sf 36

scholarly journals Factors Affecting Psychological Stress in Healthcare Workers with and without Chronic Pain: A Cross-Sectional Study Using Multiple Regression Analysis

Medicina ◽  
2019 ◽  
Vol 55 (10) ◽  
pp. 652 ◽  
Author(s):  
Yuta Sakamoto ◽  
Takeru Oka ◽  
Takashi Amari ◽  
Satoshi Shimo
Keyword(s):  
Chronic Pain ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Job Stress ◽  
Psychological Stress ◽  
Pain Catastrophizing ◽  
Psychological State ◽  
Factors Affecting ◽  
Independent Variables

Background and Objectives: Pain affects psychological stress and general health in the working population. However, the factors affecting psychological job stress related to chronic pain are unclear. This study aimed to clarify the structural differences among factors affecting psychological job stress in workers with chronic pain and those without pain. Materials and Methods: A stepwise multiple regression analysis revealed the differences in structure between the psychological stress of workers with chronic pain and those with no pain. Psychological job stress by the Brief Job Stress Questionnaire was used as the dependent variable, with psychological state (depression and anxiety), specifically that characteristic of chronic pain (pain catastrophizing); information on the nature of the pain (intensity and duration); and number of years of service as independent variables. Selected independent variables were evaluated for collinearity. Results: In the model with psychological stress as a dependent variable (chronic pain: r2 = 0.57, F = 41.7, p < 0.0001; no-pain: r2 = 0.63, F = 26.3, p < 0.0001), the difference between the experiences of workers with chronic pain and those with no pain was that chronic pain was associated with depression (Beta = 0.43, p < 0.0001) and no pain with anxiety (Beta = 0.34, p < 0.0001). In the model with chronic pain-related depression as a dependent variable (r2 = 0.62, F = 41.7, p < 0.0001), job-life satisfaction (Beta = −0.18, p = 0.0017) and magnification (a dimension of pain catastrophizing; Beta = 0.16, p < 0.0001) were significant. Conclusions: The results of this study suggest that the psychological characteristics of chronic pain, such as depression and magnification, should be considered when evaluating and intervening in the job stress of workers with chronic pain.

Analyzing the barriers to purchase intentions of energy efficient appliances from consumer perspective

2019 ◽  
Vol 26 (5) ◽  
pp. 1565-1580 ◽  
Author(s):  
Gauri Yogesh Joshi ◽  
Pratima Amol Sheorey ◽  
Aradhana Vikas Gandhi
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Energy Efficient ◽  
Purchase Intention ◽  
Negative Impact ◽  
Negative Relationship ◽  
Content Type ◽  
Intention To Purchase ◽  
Tier 1

Purpose The purpose of this paper is to identify the barriers to consumers’ intention to purchase energy efficient appliances. It uses multiple regression analysis to predict the factors that deter consumers’ purchase intention. Design/methodology/approach Five barriers to consumers’ intention to purchase energy efficient appliances were identified through an exhaustive literature survey. Data were gathered from 300 respondents from Pune city from the state of Maharashtra in India through a survey. The items were measured on a five-point Likert scale. Validity and reliability of the scale were established. Multiple regression analysis was conducted to predict consumers’ intention to purchase energy efficient appliances based on factors identified. Findings Findings revealed that some degree of uncertainty was associated with energy efficient appliance purchase. In addition to possessing lower degrees of awareness on energy efficient appliances, consumers tend to disbelieve claims made on labels of energy efficient appliances. Consumers also feel inconvenience in identifying these appliances, spending time to know about them and paying the price to purchase them. Hence, the factors – scepticism towards label claims and perceived personal inconvenience – were found to have negative impact on consumers’ purchase intention. Societal norm was found to have a positive impact on consumers’ purchase intention. Interestingly, price sensitivity and perceived product risk (which were expected to have a negative relationship with consumers’ purchase intention) displayed a positive relationship. Research limitations/implications The model proposed here is based on the researcher’s identification of the barriers. There might have been unidentified barriers that were not considered. The research does not account for manufacturing or policy-based issues that might also pose as barriers. The study encourages marketers to re-examine marketing and communication policies associated with the sale of energy efficient appliances. Originality/value The paper provides insights into the external barriers faced by consumers while purchasing an energy efficient appliance. This research enables managers to understand consumer’s preference for conventional products over energy efficient ones. It attempts to check the presence of barriers to energy efficient appliances, identified from literature in a tier 1 city of India. Tier 1 city is the city with population greater than 1,00,000 as per 2001 census of India.

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