An Empirical Investigation of the Impact of Gasoline Prices on Grocery Shopping Behavior

2011 ◽  
Vol 75 (2) ◽  
pp. 18-35 ◽  
Author(s):  
Yu Ma ◽  
Kusum L. Ailawadi ◽  
Dinesh K. Gauri ◽  
Dhruv Grewal
2011 ◽  
Vol 75 (2) ◽  
pp. 18-35 ◽  
Author(s):  
Yu Ma ◽  
Kusum L Ailawadi ◽  
Dinesh K Gauri ◽  
Dhruv Grewal

Author(s):  
Bich Le Thi Ngoc

The aim of this study is to analyze empirically the impact of taxation and corruption on the growth of manufacturing firms in Vietnam. The study employed pooled OLS estimation and then instrument variables with fixed effect for the panel data of 1377 firms in Vietnam from 2005 to 2011. These data were obtained from the survey of the Central Institute for Economic Management and the Danish International Development Agency. The results show that both taxation and corruption are negatively associated with firm growth measured by firm sales adjusted according to the GDP deflator. A one-percentage point increase in the bribery rate is linked with a reduction of 16,883 percentage points in firm revenue, over four and a half times bigger than the effect of a one-percentage point increase in the tax rate. From the findings of this research, the author recommends the Vietnam government to lessen taxation on firms and that there should be an urgent revolution in anti-corruption policies as well as bureaucratic improvement in Vietnam.


2019 ◽  
pp. 195
Author(s):  
بشار أبو خلف ◽  
خليل النابلسي

Author(s):  
Kumari Anshu ◽  
Loveleen Gaur ◽  
Arun Solanki

Chatbot has emerged as a significant resolution to the swiftly growing customer caredemands in recent times. Chatbot has emerged as one of the biggest technological disruption. Simply speaking, it is a software agent facilitating interaction between computers and humans in natural language. So basically, it is a simulated, intellectual dialogue agent functional in a range of consumer engagement circumstances. It is the easiest and simplest means enable interaction between the retailers and the customers. </p><p> • Purpose- Most of the research work done in this field is concerned with their technical aspects. The recent research on chatbot pay little attention to the impact it is creating on users’ experience. Through this work, author is making an effort to know the customer-oriented impact that the chatbot bear on the shoppers. The purpose of this study is to develop and empirically test a framework that identify the customer oriented attributes of chatbot and impact of these attributes on customers. </p><p> • Objectives- The study intends to bridge the gap between concepts and actual attributes and applications on the subject of Chatbot. The following research objectives can address the various aspects of Chatbot affecting the different characteristics of consumers shopping behaviors: a) Identify the various attributes of chatbot that bears an impression on consumer shopping behavior. b) Evaluate the impact of chatbot on consumer shopping behavior that leads to the development of chatbot usage and adoption among the customer. </p><p> • Design/Methodology/Approach – For the purpose of analysis, author has administered Factor analysis and Multiple regression using SPSS version 23 for identification of various attributes of Chatbot and knowing their impact on shoppers. A self-administered questionnaire from the review of literature is developed. Industry experts in the field of retailing and academician evaluate the questionnaire. Primary information from the respondents is gathered using this questionnaire. The questionnaire comprises of Likert scale on a scale of 1 to 5 where 1 stands for strongly disagree and 5 stands for strongly agree. Data is collected from 126 respondents, out of which 111 respondents were finally considered for study and analysis purpose. </p><p> • Findings – The empirical results show that the study identifies various attributes of chatbot like Trust, Usefulness, Satisfaction, Readiness to Use and Accessibility. It is also found that chatbot is really influencing the customers in providing them with shopping experience, which can be very helpful to the businesses for increasing the sales and creating repurchase intention among the customers. </p><p> • Originality/value – The recent research on chatbot pay little attention to the impact it is creating on customers who are actually interacting with it on regular basis. The research paper extends information for understanding and appreciating the customer oriented attributes of artificially intelligent Chatbot. In this regard, the author has developed a model framework and proposed the attributes identified. Through the work, author is also making an effort to test empirically the impact of the identified attributes on the shoppers.


2018 ◽  
Vol 21 (1) ◽  
pp. 44-69 ◽  
Author(s):  
Prodromos Chatzoglou ◽  
Dimitrios Chatzoudes

Purpose Nowadays, innovation appears as one of the main driving forces of organisational success. Despite the above fact, its impact on the propensity of an organisation to develop and sustain a competitive advantage has not yet received sufficient empirical investigation. The purpose of this paper is to enhance the existing empirical literature by focusing on the antecedents of innovation and its impact on competitive advantage. It proposes a newly developed conceptual framework that adopts a three-step approach, highlighting areas that have rarely been simultaneously examined before. Design/methodology/approach The examination of the proposed conceptual framework was performed with the use of a newly developed structured questionnaire that was distributed to a group of Greek manufacturing companies. The questionnaire has been successfully completed by chief executive officers (CEOs) from 189 different companies. CEOs were used as key respondents due to their knowledge and experience. The reliability and the validity of the questionnaire were thoroughly examined. Empirical data were analysed using the structural equation modelling technique. The study is empirical (based on primary data), explanatory (examines cause and effect relationships), deductive (tests research hypotheses) and quantitative (includes the analysis of quantitative data collected with the use of a structured questionnaire). Findings Results indicate that knowledge management, intellectual capital, organisational capabilities and organisational culture have significant direct and indirect effects on innovation, underlining the importance of their simultaneous enhancement. Finally, the positive effect of innovation on the creation of competitive advantages is empirically validated, bridging the gap in the relevant literature and offering avenues for additional future research. Originality/value The causal relationship between innovation and competitive advantage, despite its significant theoretical support, has not been empirically validated. The present paper aspires to bridge this gap, investigating the impact of innovation on the development of competitive advantages. Moreover, the present study adopts a multidimensional approach that has never been explored in the existing innovation literature, making the examination of the proposed conceptual framework an interesting research topic.


2021 ◽  
Vol 13 (3) ◽  
pp. 1464
Author(s):  
Patrick Brandtner ◽  
Farzaneh Darbanian ◽  
Taha Falatouri ◽  
Chibuzor Udokwu

The COVID-19 pandemic has been one of the biggest disruptive events of recent decades and has had a global effect on society and the economy. The political regulations resulting from COVID-19 also led to significant changes in physical grocery shopping. However, the specific impact of COVID-19 on consumer satisfaction at the customer end of retail supply chains, i.e., the point-of-sale (PoS), has not yet been addressed. By gathering and analyzing consumer satisfaction data (ratings) and sentiments (evaluation comments) available on the open web, the current study evaluates the impact of COVID-19 on consumer satisfaction at the PoS. Focusing on the five biggest retail chains in Austria, the results show that there was a general and significant decline in consumer satisfaction due to the pandemic. The results also show a high impact of political regulations on consumer satisfaction. Furthermore, the text-mining based analysis of evaluation comments indicate that store layout and facilities, as well as product availability and waiting time had a great impact on consumer satisfaction. In total, over 533,000 consumer satisfaction ratings and over 153,000 textual comments have been analyzed, providing the basis for a comprehensive and sound discussion of the impact of COVID-19 on consumer satisfaction and perceptions. Future research could focus on applying the used data analysis technique and the adapted consumer sentiment dimensions in different settings, such as countries other than Austria or smaller retail chains.


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