scholarly journals Sequencing the ‘Dairy Mind’ Using Mind Genomics to Create an “MRI of Consumer Decisions”

2021 ◽  
Author(s):  
Sophia Davidov ◽  
Mashael al Humaidan ◽  
Attila Gere ◽  
Toby Cooper ◽  
Howard Moskowitz
Keyword(s):  
Research Methodology ◽  
Dairy Products ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Strong Focus ◽  
Genomics Research ◽  
Science Of Mind ◽  
Mind Set ◽  
The Individual ◽  
The Mind

We present the research methodology that generates an integrated database of the mind of a dairy consumer, regarding nine different dairy products. The set of studies deals with a variety of end products, presenting alternative messages about each product. Respondents rate combinations of messages, that is, vignettes, which are created using an advanced form of conjoint analysis. OLS (ordinary least-squares) regression is used to deconstruct the ratings at the level of the individual respondents, producing a coefficient value for each message that was tested. Cluster analyses revealed three distinct mind-sets around dairy products: a strong focus on flavor, a strong focus on health, and a strong focus on price. This chapter demonstrates how the science of Mind Genomics is further applied through a typing tool, known as PVI (personal viewpoint identifier). The PVI is able to identify the mind-set of any individual that provides a binary response to six short questions. The chapter concludes with a vision for the future of the Mind Genomics research methodology in the fields of science and business.

The Mind-set of the Individual Consumer

1998 ◽  
pp. 58-89
Author(s):  
Hellmut Schütte ◽  
Deanna Ciarlante
Keyword(s):  
Individual Consumer ◽  
Mind Set ◽  
The Individual ◽  
The Mind

Impact of disclosure of risk factors on the initial returns of initial public offerings (IPOs)

2018 ◽  
Vol 31 (1) ◽  
pp. 46-62 ◽  
Author(s):  
Shaista Wasiuzzaman ◽  
Fook Lye Kevin Yong ◽  
Sheela Devi D. Sundarasen ◽  
Noor Shahaliza Othman
Keyword(s):  
Risk Factors ◽  
Initial Public Offerings ◽  
Ordinary Least Squares ◽  
Investment Risk ◽  
Least Squares Regression ◽  
Risk Disclosure ◽  
Content Type ◽  
Public Offerings ◽  
The Individual ◽  
Overall Risk

Purpose When a firm goes public for the first time, its prospectus serves as an important reference for investors. It is required by regulation that the risk factors which have significant influence on the business be disclosed in the prospectus. The purpose of this study is to analyze how disclosure of these risk factors influences the initial returns of initial public offerings (IPOs). Design/methodology/approach To do this, a sample of 96 Malaysian new equity offerings (IPOs) from year 2009 to year 2013 is used. Ordinary least squares regression technique is used to regress initial returns against risk disclosures. Aside from overall risk disclosure, individual dimensions of risk (internal risk, external risk and investment risk) are also considered. Findings Results of the regression analyses reveal a direct relationship between the IPO initial returns and the disclosure of risk. Overall risk disclosure is found to be highly significant in influencing initial returns. However, further investigation into the individual group of risks shows that only investment risk is highly significant in influencing IPO initial returns. Originality/value The results found in this study are interesting as, unlike prior studies, it is shown that disclosures of internal and external risks are not significant in influencing investors’ actions possibly because of their generalizability, whereas disclosures related to investment risks are significant. Equity of firms which disclose more of its risk factors can be expected to generate higher initial returns.

scholarly journals Social Support Changes in Response to Retirement

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 442-442
Author(s):  
Brittany King
Keyword(s):  
Social Support ◽  
Well Being ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Negative Consequences ◽  
Social Lives ◽  
Negative Change ◽  
Significant Positive Change ◽  
Received Social Support ◽  
The Individual

Abstract Retirement is an influential life course transition, that has potential to impact overall well-being as well as our social lives. The extent to which our social lives are changed is dependent upon the resources available both pre- and post-retirement. Research on retirement has focused on how well-being is changed, through measures such as depression, and conceptualize social support as a resource that can help offset some of the associated negative consequences. However, it is unclear how that resource of social support is itself being impacted. This study uses 2008-2016 Health and Retirement Study (HRS) data to assesses if how social support changes is dependent upon timing of retirement or whether the individual was forced to retire (N=1,933). Ordinary least squares regression (OLS) and marginal effects are used to assess the change in support and to test if the effects differentially impact certain groups. Preliminary results from this study show that men who have been retired for two waves report a significant negative change (p<0.05) in their in-person interactions with children, whereas women who have been retired for the same amount of time report a significant positive change (p<0.01) in their interactions with children. Additionally, women who are forced to retire report a significant (p<0.05) increase in their in-person interactions with children. These findings suggest that factors such as timing of retirement and forced retirement are important factors in understanding how received social support changes.

Recombine supplier-side search via innovation ambidexterity

2019 ◽  
Vol 49 (2) ◽  
pp. 178-199 ◽  
Author(s):  
Yu Wang ◽  
Tao Jia ◽  
Jinliang Chen ◽  
Hongyi Sun
Keyword(s):  
Boundary Conditions ◽  
Boundary Spanning ◽  
Ordinary Least Squares ◽  
Mediating Effect ◽  
Least Squares Regression ◽  
Entire Study ◽  
Content Type ◽  
Individual Effects ◽  
The Individual ◽  
The Relationship

Purpose The purpose of this paper is to investigate the individual effects of boundary-spanning search from suppliers (supplier-side search (SS)). It is proposed that SS contributes to innovation ambidexterity (IA) and then business performance (BP). Further, this paper includes buyer–supplier relationships (BSRs) and competitive intensity (CI) as moderators to clarify boundary conditions. Design/methodology/approach An ordinary least squares regression was employed to test hypotheses, based on 184 sets of data from Hong Kong manufacturing firms. The SPSS version of PROCESS was utilized. Findings The results show that IA partially mediates the relationship between SS and BP. Contingently, the direct effect is negatively moderated by BSRs and CI. Research limitations/implications This paper confirms the partial mediating effect of IA on the relationship between SS and BP. Additional mediators, such as organizational innovation and marketing innovation, can be examined in the future. Practical implications This paper contributes to practice by suggesting that suppliers are a rewarding single source for firms to undertake boundary-spanning search. IA plays a significant role in reinforcing the effects of SS on BP and should be implemented with sustaining efforts. BSRs and CI can be detrimental and should be responded to cautiously. Originality/value This paper highlights the individual effects of SS on BP. Furthermore, the underlying process and boundary conditions are analyzed. The exploitation-exploration framework is applied throughout the entire study.

scholarly journals The Mind of Sustainability

2020 ◽  
Vol 2 (1) ◽  
pp. 22-43
Author(s):  
Dalma Radványi ◽  
Attila Gere ◽  
Howard R. Moskowitz
Keyword(s):  
Science Of Mind ◽  
Mixed Messages ◽  
The Individual ◽  
The Mind ◽  
Interest And Motivation ◽  
Personal Viewpoint

The authors introduce the science of Mind Genomics to explore what specific messages drive a person to say they will be interested in sustainability and motivated to do something. The messages are the nature of the message and the venue where the message is received. The experiment mixed messages/elements into small vignettes, presented the vignettes to respondents, and obtained ratings. These ratings were then deconstructed into the contribution of the individual elements to motivate respondents, as well as the degree to which the individual elements engage respondents. The results reveal specific messages that drive interest and motivation, respectively, and uncover two mind-sets, those swayed by feelings versus those swayed by facts. They introduce the personal viewpoint identifier (PVI) to identify these mind-sets and what to say to them.

THE IMPORTANCE OF MANIPULATIVE STRATEGIES IN THE ACTIVITIES OF NEWS AGENCIES

2020 ◽  
Vol 6 (3) ◽  
pp. 199-203
Author(s):  
Nodira Musayeva ◽  
Keyword(s):  
General Information ◽  
The State ◽  
News Agencies ◽  
Public Consciousness ◽  
The Individual ◽  
The Mind

It is no secret that one of the features of today's global infomakon is manipulative information, which carries a large part of the General information complex that negatively affects public consciousness, the unity of the individual, society and the state. The main feature of modern journalism is that it completely rejects open propaganda and uses hidden methods of influencing the mind. Many news agencies have moved from direct ideological pressure on the recipient to theuse of hidden mechanisms of thought formation.

Evolution de la gestion des chablis ces 50 dernières années dans la région du Bas-Valais (essai)

2015 ◽  
Vol 166 (3) ◽  
pp. 129-134
Author(s):  
Roland Métral
Keyword(s):  
Natural Hazards ◽  
Dead Wood ◽  
Task Force ◽  
Critical Assessment ◽  
Forest Dieback ◽  
Research Activities ◽  
Mind Set ◽  
The 1960S ◽  
The Mind ◽  
Management Priorities

Trends in windthrow management during the last 50 years in Lower Valais (essay) A review on the measures taken in forests hit by storms during the last 50 years reveals the mind-set behind the evolution of management operations. In the 1960s, to remove all dead wood in a stand was perfectly normal due to timber prices. Between 1984 and 1990, vast sums of money were pumped into the improvement of forest structures facing the threat of a general forest dieback. As a consequence, only few of the windthrow areas caused by storm Vivian remained with no intervention. Vivian also marked the beginning of manifold research activities and practical terrain examination in windthrow gaps. Conclusions of this first research phase resulted in a critical assessment of the windthrow areas caused by Lothar in 1999, considering different goals than systematic removal of damage wood and the prevention of bark beetle outbreaks. Since the 1990s, retaining timber after windthrow has been lively discussed, as well as the maintenance of the protection function against natural hazards and opportunities for biodiversity. Several handbooks were developed and successfully used for the planning and defining of top priority measures in damaged forests that resulted from disturbances in 2011 and 2012 in Lower Valais. These recent disturbances together with the certainty that storms will recur led to the formation of a task force in the canton Valais, aiming to organize both logistics and funds, as well as to define management priorities regarding a next hazard.

scholarly journals Least Likely Observations in Regression Models for Categorical Outcomes

2002 ◽  
Vol 2 (3) ◽  
pp. 296-300 ◽  
Author(s):  
Jeremy Freese
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Binary Logistic Regression ◽  
Positive Outcome ◽  
Ordinary Least Squares ◽  
Parameter Estimates ◽  
Least Squares Regression ◽  
Binary Logistic Regression Model ◽  
Ordered Logistic Regression ◽  
Negative Outcome

This article presents a method and program for identifying poorly fitting observations for maximum-likelihood regression models for categorical dependent variables. After estimating a model, the program leastlikely will list the observations that have the lowest predicted probabilities of observing the value of the outcome category that was actually observed. For example, when run after estimating a binary logistic regression model, leastlikely will list the observations with a positive outcome that had the lowest predicted probabilities of a positive outcome and the observations with a negative outcome that had the lowest predicted probabilities of a negative outcome. These can be considered the observations in which the outcome is most surprising given the values of the independent variables and the parameter estimates and, like observations with large residuals in ordinary least squares regression, may warrant individual inspection. Use of the program is illustrated with examples using binary and ordered logistic regression.

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