scholarly journals Smart Speaker Recommendations: Impact of Gender Congruence and Amount of Information on Users' Engagement and Choice

2021 ◽  
Vol 12 ◽  
Author(s):  
Jaime Romero ◽  
Daniel Ruiz-Equihua ◽  
Sandra Maria Correia Loureiro ◽  
Luis V. Casaló
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
The Other ◽  
Decision Making Process ◽  
User Engagement ◽  
Consumer Decision Making ◽  
Message Length ◽  
Purchase Process ◽  
The One ◽  
The Impact

The relevance of smart speakers is steadily increasing, allowing users perform several daily tasks. From a commercial perspective, smart speakers also provide recommendations of products and services that may influence the consumer decision-making process. However, previous studies have mainly focused on the adoption of smart speakers, but there is a lack of proper guidelines that help design the way these devices should offer their consumption recommendations. Based on a stimulus-organism-response approach, we analyze how two features of smart speakers' recommendations (the gender congruence between the customer and the speaker, and the length of the message) influence on the effectiveness of such recommendations (i.e., visiting intentions) through its impact on user engagement and attitude. Data was collected from a sample of undergrad students in Spain using an experiment design that focused on a restaurant recommendation, and analyzed using partial least squares. On the one hand, our results suggests that gender congruence generates user engagement with the smart speaker. On the other hand, message length is positively related to attitudes towards the restaurant, at a declining rate. In addition, while better attitudes lead to higher visiting intentions, the influence of engagement on visiting intentions is partially mediated via attitudes. Thus, our findings contribute to understand the antecedents of users' engagement with smart speakers, as well as its impact on the customers' willingness to follow smart speakers' recommendations, constituting a base to analyze the impact of artificial intelligence solutions aimed to smooth the transitions of a customer through the stages of purchase process.

Situation Awareness and the Decision-Making Process in a Dynamic Situation: Avoiding Collisions at Sea

2008 ◽  
Vol 2 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Christine Chauvin ◽  
J. P. Clostermann ◽  
Jean-Michel Hoc
Keyword(s):  
Decision Making ◽  
Situation Awareness ◽  
The Other ◽  
Decision Making Process ◽  
Secondary Importance ◽  
Training Course ◽  
Training Facility ◽  
Level 1 ◽  
The One ◽  
The Impact

In this study, the authors aim to determine the impact of situation awareness (SA) in the decision-making process of “young” watch officers of a Merchant Marine training facility. The trainees were shown an ambiguous interaction situation in which they could choose among several actions. The results show that Level 1 SA (perception of the elements in the environment) tends to be of secondary importance in decision making. The major variables of the decision-making process are the interpretation of the rules and anticipation of the other vessel's intentions. Moreover, four different trainee “profiles” emerged. The main difference between them lies in the distance at which they decided to change course, the direction of this maneuver (port or starboard), the way in which they interpreted the other vessel's intentions (is it going to change course?), and whether the trainees referred to the rules. Of the trainees, 55% performed a maneuver that was against regulations, and 34% did so in an unsafe manner. This result provides an incentive to rethink the training course to put more stress on recognizing prototypical situations and choosing which actions to take in situations such as the one presented here.

scholarly journals Stochastic Fuzzy Algorithms for Impairment of Assets Management

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Marcel Ioan Bolos ◽  
Victoria Bogdan ◽  
Ioana Alexandra Bradea ◽  
Claudia Diana Sabau Popa ◽  
Dorina Nicoleta Popa
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Fuzzy Numbers ◽  
Cash Flows ◽  
The Other ◽  
Dual Purpose ◽  
Fuzzy Algorithms ◽  
Tangible Assets ◽  
The Impact

The present paper aims to analyze the impairment of tangible assets with the help of artificial intelligence. Stochastic fuzzy numbers have been introduced with a dual purpose: on one hand to estimate the cash flows generated by tangible assets exploitation and, on the other hand, to ensure the value ranges stratifications that define these cash flows. Estimation of cash flows using stochastic fuzzy numbers was based on cash flows generated by tangible assets in previous periods of operation. Also, based on the Lagrange multipliers, were introduced: the objective function of minimizing the standard deviations from the recorded value of the cash flows generated by the tangible assets, as well as the constraints caused by the impairment of tangible assets identification according to which the cash flows values must be equal to the annual value of the invested capital. Within the determination of the impairment value and stratification of the value ranges determined by the cash flows using stochastic fuzzy numbers, the impairment of assets risk was identified. Information provided by impairment of assets but also the impairment risks, is the basis of the decision-making measures taken to mitigate the impact of accumulated impairment losses on company’s financial performance.

scholarly journals The Ethical Matrix as a Tool for Decision-Making Process in Conservation

2021 ◽  
Vol 9 ◽  
Author(s):  
Pierfrancesco Biasetti ◽  
Barbara de Mori
Keyword(s):  
Decision Making ◽  
Ethical Analysis ◽  
Decision Making Process ◽  
Value Judgments ◽  
Conceptual Tool ◽  
Ethical Assessment ◽  
Ethical Matrix ◽  
Decision Making Processes ◽  
The One ◽  
The Impact

Decision making-process in conservation can be very complex, having to deal with various value dimensions and potential conflicts. In fact, conflicts and competing interests between stakeholders are among the most quoted reasons for failure of projects. Ethical analysis can be helpful in this regard. In this paper we present a revision of the Ethical Matrix specifically tailored to decision-making processes in conservation. The Ethical Matrix is a conceptual tool devised to help decision-makers by supplying them with a framework of the ethically relevant aspects involved in decision-making process. It was originally developed for the ethical assessment of agri-food biotechnologies and later has been applied to other fields. The revised version we propose here has been designed for the ethical analysis of conservation priority-setting and impact. As conservation can raise many ethical relevant controversies, conceptual tools like the one presented here can be of help for conservationists, providing a map of the value demands involved. This map can be used to question the reasonableness of the value judgments, estimate the impact of different courses of actions, anticipate conflicts, and rank their severeness.

E-WOM as a New Paradigm in the Consumer Decision-Making Process

2019 ◽  
pp. 64-81
Author(s):  
Esra Güven ◽  
Volkan Yakin
Keyword(s):  
Decision Making ◽  
Purchase Behavior ◽  
Decision Making Process ◽  
Consumer Decision Making ◽  
New Paradigm ◽  
Consumer Decision ◽  
Five Phases ◽  
Relationship Of ◽  
Post Purchase ◽  
The Impact

Consumer-to-consumer communications in online environments are of a vital importance to the consumer decision-making process. This process consists of five phases, each affected by eWOM communications deeply from the stimulation to the post-purchase behavior. Among all other factors having an impact on this process, the impact of eWOM has a distinguished role. As the technology grows and the consumers use internet and the reviews via internet, they become more and more attached to these reviews to make a purchase decision. In this chapter, the authors make a comprehensive explanation about the consumer decision-making process and explain the relationship of the decision-making phases with eWOM communications.

ETHICS OF EXPERIMENTATION

PEDIATRICS ◽  
1977 ◽  
Vol 60 (6) ◽  
pp. 872-872
Author(s):  
B. Barber ◽  
Keyword(s):  
Decision Making ◽  
Social Structure ◽  
Scientific Knowledge ◽  
Human Subjects ◽  
The Other ◽  
Decision Making Process ◽  
Scientific Achievement ◽  
Medical Institutions ◽  
The Social ◽  
The One

. . . Medical institutions and individual investigators operate today with two powerful sets of values and goals. On the one hand there is the pursuit and advancement of scientific knowledge. On the other there is the provision of humane and effective therapy for patients. . . . There is evidence that the enhanced excitement attending scientific achievement and the rewards bestowed on it in recent decades have skewed the decision-making process in many cases of conflict. . . . Our data show that the social structure of competition and reward is one of the sources of permissive behavior in experimentation with human subjects...

scholarly journals A decision-making support model for enterprises localization strategies

2014 ◽  
Vol 16 (1) ◽  
pp. 33-59
Author(s):  
Marzia Morena ◽  
Maria Luisa Del Gatto ◽  
Anna Gornati
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Location Choice ◽  
The Other ◽  
Location Decisions ◽  
Decision Making Process ◽  
Key Factors ◽  
Content Type ◽  
Development Scenarios ◽  
The One

Purpose – The paper aims at describing a supporting model for the decision-making process that may steer the location decisions of international businesses. This is made possible by a measurement system where the characteristics of a territory are assessed with reference to some key factors that are internationally known to investors, to the aim of spotting the best location to implement a property investment. Design/methodology/approach – The surveys analysed when producing this paper highlighted the presence of internationally renowned and shared factors that the enterprises generally take into consideration in their decision-making process, and which strongly influence the decision to locate a business in a territory to the detriment of another. By adopting and organizing these “key factors” in a systemic way, the model introduced in this paper supports enterprises in their location choice. It analyses and measures some territorial contexts (with no limits regarding their size) based on the scores assigned to these contexts after the analysis of the 12 key factors. Findings – The analysis had two outputs: on the one hand, its results allowed to check whether the areas are actually in line with the expectations and with the requirements of a potential investor, with reference to the activity that such investor is willing to promote; on the other, the identification of the characteristics of the area provides the basis to define the vocation of the areas under examination, thus helping the drawing of future development scenarios. Originality/value – The surveys analysed when producing this paper highlighted the presence of internationally renowned and shared factors that the enterprises generally take into consideration in their decision-making process, and which strongly influence the decision to locate a business in a territory to the detriment of another.

scholarly journals Evaluation of the impact of patient input in health technology assessments at NICE

2021 ◽  
Vol 37 ◽  
Author(s):  
Heidi Livingstone ◽  
Vassilia Verdiel ◽  
Helen Crosbie ◽  
Sheela Upadhyaya ◽  
Kevin Harris ◽  
...  
Keyword(s):  
Decision Making ◽  
Interventional Procedures ◽  
Qualitative Data ◽  
Health Technology ◽  
Patient Experiences ◽  
The Other ◽  
Decision Making Process ◽  
New Information ◽  
The Impact ◽  
New Evidence

Abstract Objective Accounts of patient experiences are increasingly used in health technology assessment (HTA) processes. However, we know little about their impact on the decision-making process. This study aims to assess the level and the type of impact of patient input to highly specialised technologies (HSTs) and interventional procedures (IPs) guidance at the National Institute for Health and Care Excellence (NICE). Methods A questionnaire was developed to capture quantitative and qualitative data on the amount and type of impact of patient input into NICE HTAs. It was completed by committee members of the guidance-producing programs after a discussion of the considered topics. The data were analyzed by topic and overall, for each program, and compared across programs. Results Patient input was assessed on ten pieces of HST guidance published between January 2015 and November 2019, and on twenty-six pieces of IP guidance scoped between February 2016 and October 2018. A total of 96 responses were collected for HST and 440 for IP. The level of impact of patient input was higher for HST than for IP. For HST, no respondents stated that it had no impact, whereas in IP, 35 percent of respondents did. The most common types of impact found for HST and IP were that it helped interpret the other evidence and that it provided new evidence. Conclusions The impact of patient input is not necessarily explicit in changing recommendations, but it provides context, reassurance, and new information to the committee for the decision-making process in HTAs.

scholarly journals Good governance and transparency

2020 ◽  
Vol 1 (2) ◽  
pp. 343-353
Author(s):  
Laura Vilone ◽  
Keyword(s):  
Decision Making ◽  
Good Governance ◽  
The State ◽  
The Other ◽  
Decision Making Process ◽  
Public Authorities ◽  
The Public ◽  
Public Action ◽  
Special Place ◽  
The One

The notion of “good governance” implies the special place given to the State. Such a model is defined by the effectiveness of certain guarantees such as the independence of the judiciary, the correct and fair management of expenditure but also administrative transparency. Indeed, the latter depends on the sincerity of those involved in public action, on the one hand, and the constant dialogue between the public authorities and the public, on the other hand. The purpose of this intervention is to demonstrate that the realisation of the model of “good governance” is based, above all, on the existence of an administration that fully understands the requirements of administrative transparency. The two pillars of “good governance” would thus be the foundations of the principle of transparency: communication with citizens and their participation in the process of the decision-making process.

scholarly journals Use of Artificial Intelligence in Smart Cities for Smart Decision-Making: A Social Innovation Perspective

2022 ◽  
Vol 14 (2) ◽  
pp. 620
Author(s):  
Syed Asad A. Bokhari ◽  
Seunghwan Myeong
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Social Innovation ◽  
Survey Design ◽  
Smart Cities ◽  
Mediating Effect ◽  
Decision Making Process ◽  
Science Literature ◽  
Cross Sectional ◽  
The Impact

The goal of this study is to investigate the direct and indirect relationships that exist between artificial intelligence (AI), social innovation (SI), and smart decision-making (SDM). This study used a survey design and collected cross-sectional data from South Korea and Pakistan using survey questionnaires. Four hundred sixty respondents from the public and private sectors were obtained and empirically analyzed using SPSS multiple regression. The study discovered a strong and positive mediating effect of SI between the relationship of AI and SDM, as predicted. Previous researchers have investigated some of the factors that influence the decision-making process. This study adds to the social science literature by examining the impact of a mediating factor on decision-making. The findings of this study will contribute to the local government in building smart cities such that the factor of social innovations should be involved in the decision-making process because smart decision-making would share such collected data with entrepreneurs, businesses, and industries and would benefit society and all relevant stakeholders, including such social innovators.

scholarly journals Using mobile device in-store: which implications for retailers?

2018 ◽  
Vol 3 (1) ◽  
pp. 12
Author(s):  
Prof.ssa Silvia Bellini ◽  
Prof.ssa Maria Grazia Cardinali ◽  
Dott. Simone Aiolfi
Keyword(s):  
Decision Making ◽  
Mobile Technology ◽  
Technology Use ◽  
Shopping Behavior ◽  
Decision Making Process ◽  
Consumer Decision Making ◽  
Goods And Services ◽  
Impulse Purchases ◽  
Shopper Behavior ◽  
The Impact

The widespread mobile connectivity has not only changed the way we interact and communicate, but has significantly impacted on consumer decision-making process. Consumers in a retail setting use mobile devices with different purposes: finding information on the web, comparing pricing and purchasing goods and services. Therefore, it becomes crucial to understand how the mobile influences the decision-making process as well as the purchasing decisions in-store. This topic is of great importance in grocery sector since retailers and manufacturers devote many investments in instore marketing activities with the aim to influence consumers’ decisions and stimulate impulse purchases. The rise of the mobile channel has produced disruptive changes in shopping habits designed to gradually reduce the effectiveness of in-store marketing levers in influencing shopping behavior. Manufacturers and retailers are worried that the mobile could potentially distract the customer from the products and services offered within the store. Our research intends to explore the impact of in-store mobile technology use on shopper behavior instore in order to understand its effects on planned versus unplanned purchases. According to our preliminary results, consumers using mobile technology instore make less unplanned items and fail to purchase more planned items. Moreover, the use of mobile technology negatively affects shoppers’ ability to recall in-store stimuli. Our findings are interesting for both retailers and manufacturers who are looking for new ways to better address their marketing efforts and increase consumers’ engagement instore.

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