scholarly journals Interdisciplinarily Exploring the Most Potential IoT Technology Determinants in the Omnichannel E-Commerce Purchasing Decision-Making Processes

2020 ◽  
Vol 10 (2) ◽  
pp. 603 ◽  
Author(s):  
Ming-Yuan Hsieh
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Cognitive Theory ◽  
Personal Characteristics ◽  
Financial Status ◽  
Purchasing Decision ◽  
Network Process ◽  
Decision Making Processes ◽  
Technological Acceptance Model ◽  
Acceptance Model

This research has interdisciplinarily employed the “SoLoMo” concept of Intern of Things (IoT) technology, Social Cognitive Theory and the Technological Acceptance Model (TAM) into the hierarchical Analytical Network Process (ANP) model of qualitative analysis in order to concretively construct the most comprehensive IoT technology model in the purchasing decision-making process of the omnichannel e-commerce model. Statistically, this research not only employed the Factor Analysis (FA) approach of quantitative analysis for systematically assaying the data results from the dispensation of large-scale questionnaires to refine the commonality of each sub-criterion with higher research representativeness and validity but it also applied the Fuzzy Set Theory (FST) and Grey Relation Analysis (GRA) methods of qualitative analyses for in-depth analytically evaluate the data results from the operation of expert’s questionnaires to refine the measured consequences of the ANP model with higher research accuracy and reliability. Conclusively, the “Purchasing Original Intentions” has been the most critical purchasing factors in the omnichannel e-commerce purchasing decision-making processes which means current omnichannel e-commerce consumers have commenced to firstly and rationally think over before making purchasing decisions and actions without any irrational consumptions. Conclusively, “Purchasing Importance-Purchasing Importance (PI)”, “Purchasing Financial Status-Purchasing Financial Status (PFS)” and “Purchaser’s Personality-Purchaser’s Personality (PP)” were the most potential IoT technology determinants in the omnichannel e-commerce purchasing decision-making processes because (1) omnichannel e-commerce consumers have been rationally focused on what they demand without traditional emotional purchasing consumptions, (2) omnichannel e-commerce consumers have rationally considered their financial resources without impulsive purchasing consumptions and (3) omnichannel e-commerce consumers have rationally respected their personal characteristics and individual value without blindly purchasing consumptions.

scholarly journals Applying ANP in Establishing a Decision-Making Model for the Destination Selection of Large-scale Exhibitions

2017 ◽  
Vol 7 (1) ◽  
pp. 100
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Analytic Network Process ◽  
Cost Ratio ◽  
Benefit Cost Ratio ◽  
Network Process ◽  
Second Tier ◽  
High Benefit ◽  
Decision Making Model ◽  
Selection Of

This study investigates the decision-making issues in the selection of destinations for large-scale exhibitions by the cultural and creative industry. We use the Rubber Duck China Tour by the Dutch artist Florentijn Hofman as an example and adopt the analytic network process technique to evaluate destination options for the exhibition, as well as to explore the impacts of the evaluation of destination feasibilities on exhibition investment. The results show that power, a high benefit-cost ratio, first-tier cities, integration with local communities, and a rich and interesting theme are the top five factors that curators should consider when planning exhibitions. Considering the priority among cities of various tiers, first-tier cities are the most favorable, followed by fourth-tier, third-tier, and second-tier cities. The decision-making model provides curators with a reliable reference for selecting destinations for future exhibitions.

scholarly journals A Neuroeconomic Framework for Creative Cognition

2017 ◽  
Author(s):  
Hause Lin ◽  
Oshin Vartanian
Keyword(s):  
Decision Making ◽  
Locus Coeruleus ◽  
Large Scale ◽  
Network Dynamics ◽  
Brain Network ◽  
Creative Cognition ◽  
Decision Making Processes

Neuroeconomics is the study of the neurobiological bases of subjective preferences and choices. We present a novel framework that synthesizes findings from the literatures on neuroeconomics and creativity to provide a neurobiological description of creative cognition. It proposes that value-based decision-making processes and activity in the locus coeruleus-norepinephrine (LC-NE) neuromodulatory system underlie creative cognition, as well as the large-scale brain network dynamics shown to be associated with creativity. This framework allows us to re-conceptualize creative cognition as driven by value-based decision making, in the process providing several falsifiable hypotheses that can further our understanding of creativity, decision making, and brain network dynamics.

scholarly journals Attributes-Based Decision Making for Selection of Requirement Elicitation Techniques Using the Analytic Network Process

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Jinyu Li ◽  
Asif Ullah ◽  
Jun Li ◽  
Shah Nazir ◽  
Habib Ullah Khan ◽  
...  
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Requirement Engineering ◽  
Analytic Network Process ◽  
Software Project ◽  
Requirement Elicitation ◽  
Network Process ◽  
Decision Making Processes ◽  
Selection Of

Requirement engineering is the first phase of software engineering. In requirement engineering, the first phase is requirement elicitation (RE), which is the most critical and error-prone activity. In this phase, the requirements are extracted from various sources; after extraction, they are analyzed and documented for a specific purpose of software development. In RE, process requirements from stakeholders are gathered, upon which the entire software product failure and success are dependent. In order to accomplish the goal of requirement elicitation, various techniques are used. However, the selection of these techniques is a very challenging task, as one technique may suit a situation but may not be suited for other situations. Besides this, project attributes such as documentation culture of organization, degree of relationship among stakeholders, and familiarity to domain also have a great impact on the process of technique selection. The reason is that there is no empirical value of the techniques that provide help in techniques selection to analyze the basis software project attributes. This study proposed the analytic network process, which is one of the multicriteria decision making processes for the elicitation technique selection process with respect to criterion attributes of project. The motivation toward the use of the ANP approach for the selection of requirement selection technique is that there are dependencies existing among attributes of the project elements. So, the ANP approach is capable of dealing with such situations where dependencies and complexity occur. Results of the proposed study demonstrate that the technique helps in complex situations where decision making is difficult based on the alternatives.

scholarly journals HTS Promiscuity Analyses for Accelerating Decision Making

2011 ◽  
Vol 16 (7) ◽  
pp. 765-774 ◽  
Author(s):  
Alexander Böcker ◽  
Pierre R. Bonneau ◽  
Paul J. Edwards
Keyword(s):  
Decision Making ◽  
High Throughput ◽  
High Throughput Screening ◽  
Large Scale ◽  
Data Repositories ◽  
Decision Making Processes ◽  
Target Family ◽  
The One

Frequent hitters are compounds that are detected as a “hit” in multiple high-throughput screening (HTS) assays. Such behavior is specific (e.g., target family related) or unspecific (e.g., reactive compounds) or can result from a combination of such behaviors. Detecting such hits while predicting the underlying reason behind their promiscuous behavior is desirable because it provides valuable information not only about the compounds themselves but also about the assay methodology and target classes at hand. This information can also greatly reduce cost and time during HTS hit profiling. The present study exemplifies how to mine large HTS data repositories, such as the one at Boehringer Ingelheim, to identify frequent hitters, gain further insights into the causes of promiscuous behavior, and generate models for predicting promiscuous compounds. Applications of this approach are demonstrated using two recent large-scale HTS assays. The authors believe this analysis and its concrete applications are valuable tools for streamlining and accelerating decision-making processes during the course of hit discovery.

scholarly journals Framework for advanced supply chain planning: Large-scale petrochemical companies

2011 ◽  
Vol 8 (3) ◽  
pp. 452-463 ◽  
Author(s):  
Johan J. Louw ◽  
Wessel Pienaar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Customer Service ◽  
Large Scale ◽  
Supply Chain Planning ◽  
Proactive Approach ◽  
Logistics Networks ◽  
Advanced Planning ◽  
Decision Making Processes

Most petrochemical companies are undergoing radical changes. The markets being served have expanded globally, customer service expectations have increased, and demand has become much more volatile and hence less predictable. The resulting product supply chains evolve/develop over time, with integrating decision-making processes and advanced planning practices becoming more prominent. A proactive approach with longer time horizons becomes the norm for excellence. Refinery expansion and highly integrated/sophisticated manufacturing technology have also contributed to increased interdependency within and between supply chains (upstream to feed sources, downstream to end consumer, and between logistics networks). These developments resulted in what is termed advance supply chain planning. Notwithstanding its unique differences, the petrochemical industry still has a lot of ground to cover before it can reach some of the advance supply chain planning benefits reported in other industries. This article presents what is believed to be an appropriate supply chain planning approach/framework for decision making in large-scale, integrated petrochemical companies.

scholarly journals Relations between purchase decision styles and personal characteristics of buyers

Marketing ◽  
2020 ◽  
Vol 51 (4) ◽  
pp. 237-246
Author(s):  
Jelena Matanović ◽  
Kristina Markov
Keyword(s):  
Decision Making ◽  
Personality Traits ◽  
Big Five ◽  
Personal Characteristics ◽  
Practical Significance ◽  
Marketing Practice ◽  
Purchasing Decision ◽  
Impulsive Buying ◽  
Decision Making Styles ◽  
Decision Styles

The aim of the presented research is to examine whether certain personality traits can predict the decision-making styles in the context of purchasing among Serbian customers. The research involved 462 respondents of different genders, ages and levels of education. The decision-making styles of purchasing were examined using the SDKO questionnaire. SDKO questionnaire measures purchasing decision-making styles (Planners, Ethno-eco oriented, Trendsetters, Bargain hunters, Sceptics). Personality traits like Extraversion, Neuroticism and Openness to experience were measured with subscales from the Big Five Inventory, Impulsiveness was measured with Scale of Innovativeness; and Impulsiveness with the Impulsive Buying Scale (BIC). Regression analyzes were performed on the data and the results show that a set of predictors can be used to predict three purchasing decision-making styles: Planners, Ethno-eco oriented and Trendsetters. The obtained results were discussed in relation to their theoretical and practical significance for marketing practice.

The Science Behind Neuromarketing

2020 ◽  
pp. 104-126
Author(s):  
Yetkin Bulut ◽  
Burak Arslan
Keyword(s):  
Decision Making ◽  
Qualitative Research ◽  
Research Methods ◽  
Decision Process ◽  
Marketing Research ◽  
Purchasing Decision ◽  
Quantitative And Qualitative Research ◽  
Research Techniques ◽  
Decision Making Processes ◽  
Traditional Marketing

With the change and development of technology, the techniques used in marketing research have also changed. Quantitative and qualitative research techniques have been applied to traditional marketing research. Although these techniques are applied, the purchasing decision process of the consumer is not fully understood. The decision-making processes of consumers are more clearly understood thanks to the neuromarketing approach that arises as a result of the collaboration of marketing with neuroscience and the research methods applied as a requirement of this understanding. In this chapter, research methods used in the field of neuromarketing will be examined, examples of applications will be given, and suggestions will be made to academicians and practitioners.

scholarly journals Tackling the drivers of child undernutrition in developing countries: what works and how should interventions be designed?

2010 ◽  
Vol 14 (4) ◽  
pp. 688-693 ◽  
Author(s):  
Pat Pridmore ◽  
Roy Carr-Hill
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Large Scale ◽  
Paris Declaration ◽  
Active Involvement ◽  
Child Undernutrition ◽  
Country Level ◽  
Effective Interventions ◽  
Wide Range ◽  
Decision Making Processes

AbstractObjectiveThe present paper presents a synthesis of available evidence to support action on the interventions that can effectively address the main drivers of child undernutrition in developing countries. It also discusses how interventions should be designed and identifies policy-relevant areas for further research.DesignA structured literature review of fifty-eight controlled evaluations and studies in developing countries were selected because they are methodologically sound, recent (reported within the past 10 years), report on nutritional status, cover a wide range of interventions and are implemented by a range of different agencies.SettingIndirect interventions in developing countries, which address the underlying and basic causes of child undernutrition and can potentially be implemented in the short to medium term.SubjectsChildren under 5 years of age and their mothers across a range of developing countries.ResultsEvidence has now accumulated to guide action on a range of indirect interventions that can reduce child undernutrition, but for all these interventions context is all-important. There is less evidence on how these interventions can be effectively implemented on a large scale.ConclusionsEfforts should be directed towards improving implementation of effective interventions on a large scale. Donors need to keep commitments both in dollar terms and in terms of the Paris Declaration so that the push for improved nutrition does not become donor driven. At the country level, there is a need for enabling governance structures, institutions and evidence-based decision making. Within countries there is a need for well-trained personnel with delegated authority, accountable to local people. It is essential for chains of accountability to be transparent and for active involvement of households in decision-making processes.

Sign in / Sign up

Export Citation Format

Share Document