Let’s Perform and Paint! The Role of Creative Mediums in Enhancing Management Research Representation

2018 ◽  
Vol 27 (3) ◽  
pp. 301-308 ◽  
Author(s):  
Lakshmi Balachandran Nair ◽  
Pauline Fatien Diochon ◽  
Reka Anna Lassu ◽  
Suzanne G. Tilleman

The limited reach of management research results in missed opportunities to support the decision-making processes of business professionals and policy makers. To strengthen the impact of management research and overcome barriers posed by text-heavy representation, we advocate for the use of creative mediums (e.g., collage, film, poetry) to showcase the product of an inquiry, either alone or as a supplement to traditional reporting. We provide a rationale for how these mediums trigger interest, foster a multisensory experience, convey complex meaning, and spark contemporary, inclusive dialogues. Each of the four rationales is discussed by showing an example of previous use, and explaining how the respective barrier to research representation is overcome. We finally offer recommendations for how management researchers can employ creative mediums to enhance the fertility of their work.

2018 ◽  
Vol 6 (1) ◽  
pp. 515
Author(s):  
Inayah Hidayati

Objective: This research aims to explain the impact of social media on the migration decision-making process of Indonesian student migrants in University of Groningen who used a social media account. In detail, this research will consider the role of social media in the migration decision-making process of students who emigrated from Indonesia and how they uses social media in the context of the migration decision-making process. Methods: The data collected included qualitative data from in-depth interviews and supported by study literatures. An interview guide was formulated to facilitate the indepth interviews and generate a better understanding of migration behavior. Expectation: Social media help Indonesian student migrants on migration decision making process and they use social media for searching information about destination area. Result: Student migrant in University of Groningen use their social media to gain information before they choose that university for study. They use Facebook to making contact with their friends and collagues in the destination country. Student group on Facebook help Indonesian student to get information about school and daily life.


Author(s):  
Anne-Marie D'Aoust

Foreign policy analysis (FPA) deals with the decision-making processes involved in foreign policy-making. As a field of study, FPA overlaps international relations (IR) theory and comparative politics. Studies that take into account either sex, women, or gender contribute to the development of knowledge on and about women in IR, which is in itself one of the goals of feminist scholarship. There are two main spheres of feminist inquiries when it comes to foreign policy: the role of women as sexed power holders involved in decision-making processes and power-sharing in the realm of foreign policy-making, and the role of gendered norms in the conduct and adoption of foreign policies. Many observers insist that feminism and foreign policy are linked only by a marriage of convenience, designed to either acknowledge the political accomplishments of women in the sphere of foreign policy such as Margaret Thatcher and Indira Ghandi, or bring attention to so-called “women’s issues,” such as reproduction rights and population control. Scholarship on women and/or gender in relation to foreign policy covers a wide range of themes, such as the role of women as political actors in decision-making processes and organizational structures; women’s human rights and gender mainstreaming; the impact of various foreign policies on women’s lives; and the concept of human security and the idea of women’s rights as a valid foreign policy objective. Three paradigms that have been explored as part of the study of women in comparative politics and IR are behavioralism, functionalism, and rational choice theory.


2015 ◽  
Vol 6 (4) ◽  
pp. 597-612
Author(s):  
Alexandre Biard

Mass harm situations caused by corporate misbehaviour, defective products, harmful pharmaceuticals, accidents or environmental disasters nowadays multiply and create new challenges for legal actors and society at large. In its 2013 Recommendations, the EU Commission highlighted that ‘a key role should be given to courts in protecting the rights and interests of all the parties involved in collective redress actions as well as in managing the collective redress actions effectively’. The role of judges therefore turns out to be essential: they are expected to behave as watchdogs scrutinizing the overall admissibility of mass claims, as active case managers ensuring that cases make orderly progress, and as shepherds ensuring that all interests at stake are sufficiently protected. A key issue to be explored remains the influence of the mass context on decision-making which may potentially lead judges to depart from policy makers’ expectations. Interestingly, the mass context is nowadays an element often discarded by judges themselves. Yet, in the context of mass litigation, cases involve and consolidate in one lawsuit hundreds of represented claimants who have suffered a similar harm. The magnitude of the case - that is the number of people involved and/or the size of the loss at stake – is therefore likely to be considerable. Even though judges discuss and exchange with a limited number of protagonists during hearings – e.g. with representative bodies such as associations or leading counsels – judges must preserve the interests of absent parties. Behavioural studies have shed important light on ways groups are perceived by external observers, and on the impact of number and size on information processing. By investigating in greater details the effects associated with the case magnitude on decision-making, this paper aims at providing an alternative viewpoint on the issue of collective redress which will be of particular interest for courts and regulators at both national and European levels.


2020 ◽  
Author(s):  
Ali Eshragh ◽  
Saed Alizamir ◽  
Peter Howley ◽  
Elizabeth Stojanovski

AbstractThe novel Corona Virus COVID-19 arrived on Australian shores around 25 January 2020. This paper presents a novel method of dynamically modeling and forecasting the COVID-19 pandemic in Australia with a high degree of accuracy and in a timely manner using limited data; a valuable resource that can be used to guide government decision-making on societal restrictions on a daily and/or weekly basis. The “partially-observable stochastic process” used in this study predicts not only the future actual values with extremely low error, but also the percentage of unobserved COVID-19 cases in the population. The model can further assist policy makers to assess the effectiveness of several possible alternative scenarios in their decision-making processes.HighlightsThis work applies a novel and effective approach using a partially-observable stochastic process to study the dynamics of the COVID-19 population in Australia over the 1 March-22 May 2020 period.The key contributions of this work include (but are not limited to):identifying two structural break points in the numbers of new cases coinciding with where the dynamics of the COVID-19 population are altered: the first, a major break point, on 27 March 2020, is one week after implementing the “lockdown restrictions”, and the second minor point on 18 April 2020, is one week after the “Easter break”;forecasting the future daily numbers of new cases up to 28 days in advance with extremely low mean absolute percentage errors (MAPEs) using a relative paucity of data, namely, MAPE of 1.53% using 20 days of data to predict the number of new cases for the following 6 days, MAPE of 0.43% using 34 days of data to predict the number of new cases for the following 14 days, and MAPE of 0.20% using 55 days of data to predict the number of new cases for the following 28 days;estimating approximately 33% of COVID-19 cases as unobserved by 26 March 2020, reducing to less than 5% after implementing the Government’s constructive restrictions;predicting that the growth rate, prior to the Government’s implementation of restrictions, was on a trajectory to infect numbers equal to Australia’s entire population by 24 April 2020;estimating the dynamics of the growth rate of the COVID-19 population to slow down to a rate of 0.820 after the first break point, with a slight rise to 0.979 after the second break point;Advocating the outlined stochastic model as practically beneficial for policy makers when considering implementation and easing of virus restrictions due to the demonstrated sensitivity of the dynamics of the COVID-19 population in Australia to both major and minor system changes.The model developed in this work may further assist policy makers to consider the impact of several potential scenarios in their decision-making processes.


2006 ◽  
Vol 58 (4) ◽  
pp. 583-622 ◽  
Author(s):  
Macartan Humphreys ◽  
William A. Masters ◽  
Martin E. Sandbu

Despite a widespread trend toward the adoption of increasingly participatory approaches to political decision making in developing countries, there is little or no evidence that these practices in fact return the benefits attributed to them. This article investigates one specific worry—that participatory decision-making processes may be vulnerable to manipulation by elites. The authors report on a field experiment, drawing on a unique nationwide experiment in democratic deliberation in São Tomé and Príncipe in which the discussion leaders were randomly assigned across meetings. The randomization procedure provides a rare opportunity to identify the impact of leaders on the outcomes of group deliberations. They find that leader effects were extremely large, in many cases accounting for over one-third of all variation in the outcomes of the national discussions. These results have important implications for the design of such deliberative practices. While the total effect of leadership cannot be assessed, it may still be possible to observe when leader influence occurs and to correct for leader effects in comparisons of outcomes across deliberations.


2020 ◽  
Vol 15 (2) ◽  
pp. 95-109
Author(s):  
Heba Aziz ◽  
Osman El-Said ◽  
Marike Bontenbal

The objective of this study was to measure the level of cruise tourists' satisfaction as well as the relationship between satisfaction, recommendation, return intention, and expenditure. Also, the impact of factors such as nationality, length of the visit, and age on the level of expenditure was measured. An empirical approach for data collection was followed and a total of 152 questionnaires were collected from cruise tourists visiting the capital city of Oman, Muscat, as cruise liners anchor at Sultan Qaboos Port. Results of the regression analysis supported the existence of a causal relationship between satisfaction with destination attributes, overall satisfaction, recommendation, return intention, and expenditure. It was found that the average expenditure varies according to age and length of the visit. Recommendations for policy makers were suggested on how to increase the role of cruise tourism in strengthening the economy.


2021 ◽  
Vol 13 (13) ◽  
pp. 7007
Author(s):  
Habtamu Nebere ◽  
Degefa Tolossa ◽  
Amare Bantider

In Ethiopia, the practice of land management started three decades ago in order to address the problem of land degradation and to further boost agricultural production. However, the impact of land management practices in curbing land degradation problems and improving the productivity of the agricultural sector is insignificant. Various empirical works have previously identified the determinants of the adoption rate of land management practices. However, the sustainability of land management practices after adoption, and the various factors that control the sustainability of implemented land management practices, are not well addressed. This study analyzed the factors affecting the sustainability of land management practices after implementation in Mecha Woreda, northwestern Ethiopia. The study used 378 sample respondents, selected by a systematic random sampling technique. Binary logistic regression was used to analyze the quantitative data, while the qualitative data were qualitatively and concurrently analyzed with the quantitative data. The sustained supply of fodder from the implemented land management practices, as well as improved cattle breed, increases the sustainability of the implemented land management practices. While lack of agreement in the community, lack of enforcing community bylaws, open cattle grazing, lack of benefits of implemented land management practices, acting as barrier for farming practices, poor participation of household heads during planning and decision-making processes, as well as the lack of short-term benefits, reduce the sustainability of the implemented land management practices. Thus, it is better to allow for the full participation of household heads in planning and decision-making processes to bring practical and visible results in land management practices. In addition, recognizing short-term benefits to compensate the land lost in constructing land management structures must be the strategy in land management practices. Finally, reducing the number of cattle and practicing stall feeding is helpful both for the sustainability of land management practices and the productivity of cattle. In line with this, fast-growing fodder grass species have to be introduced for household heads to grow on land management structures and communal grazing fields for stall feeding.


2021 ◽  
Vol 16 (4) ◽  
pp. 638-669
Author(s):  
Miriam Alzate ◽  
Marta Arce-Urriza ◽  
Javier Cebollada

When studying the impact of online reviews on product sales, previous scholars have usually assumed that every review for a product has the same probability of being viewed by consumers. However, decision-making and information processing theories underline that the accessibility of information plays a role in consumer decision-making. We incorporate the notion of review visibility to study the relationship between online reviews and product sales, which is proxied by sales rank information, studying three different cases: (1) when every online review is assumed to have the same probability of being viewed; (2) when we assume that consumers sort online reviews by the most helpful mechanism; and (3) when we assume that consumers sort online reviews by the most recent mechanism. Review non-textual and textual variables are analyzed. The empirical analysis is conducted using a panel of 119 cosmetic products over a period of nine weeks. Using the system generalized method of moments (system GMM) method for dynamic models of panel data, our findings reveal that review variables influence product sales, but the magnitude, and even the direction of the effect, vary amongst visibility cases. Overall, the characteristics of the most helpful reviews have a higher impact on sales.


Sign in / Sign up

Export Citation Format

Share Document