scholarly journals Opportunities and Challenges of Sporting Goods Manufacturing Industry under the New Retail Mode

CONVERTER ◽  
2021 ◽  
pp. 41-50
Author(s):  
Yijun Bai, Can Yu
Keyword(s):  
Decision Making ◽  
Manufacturing Industry ◽  
Transition Period ◽  
The Internet ◽  
Purchasing Behavior ◽  
New Era ◽  
Existing Problems ◽  
Key Points ◽  
Sporting Goods ◽  
Sports Goods

By using literature inquiry and logical reasoning methods, this paper studies the definition and characteristics of "new retailing", The current situation and existing problems of sports goods manufacturing industry participating in "new retail" are clarified, and the existing problems are pointed out  that under "new retailing" mode, during transition period of sales transformation and stores reformulation, Sporting goods manufacturing industry has no obvious huge advantage, but the opportunities of overtaking opponents at some key points do exist. However, with the advent of the new era, challenges often outweigh opportunities.Sporting goods manufacturing is like other companies, face the pain and change of sales transformation, but this kind of transformation is not a denial and abandonment of the traditional retail system, but a complementation of advantages. Therefore, the retailers of sporting goods manufacturing industry must stand in the perspective of "new retail"  from the perspective of customer experience, highly integrate online and offline retaling and logistics, use technologies such as the Internet and big data to influence customers’ decision-making and purchasing behavior, and improve their trust in the products. Finally, the paper proposes solutions and suggestions based on the problems existing in the enterprises’ involvement in the "new retailing" mode,It provides the basis for the decision-making of sports goods manufacturing industry and management department.

Similarity-Based Decision Support for Internet Enabled Supply-Web Interactions

1998 ◽  
Author(s):  
Raj Veeramani ◽  
Narayanan Viswanathan ◽  
Shailesh M. Joshi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Manufacturing Industry ◽  
Job Shop ◽  
The Internet ◽  
Agent Based ◽  
New Approaches ◽  
Effective Decision ◽  
Use Of The Internet ◽  
Effective Decision Making

Abstract New approaches for decision making are emerging to support the use of the Internet for supply-web interactions in the manufacturing industry. In this paper, we discuss one such paradigm, namely similarity-based decision support. It recognizes that knowledge of similar experiences can support rapid and effective decision making in various forms of supply-web interactions. We illustrate this approach using two prototype systems, WebScout (an agent-based system for customer–supplier matchmaking in the job-shop machining industry context) and TOME (Treasury of Manufacturing Experiences — an Intranet application to aid manufacturability assessment in foundries).

scholarly journals Research on the Problems and Countermeasures of China's Sporting Goods Manufacturing Industry in Olympic Marketing

CONVERTER ◽  
2021 ◽  
pp. 487-491
Author(s):  
Zhen Bai, Han Yang
Keyword(s):  
Literature Review ◽  
Manufacturing Industry ◽  
Marketing Strategies ◽  
Sports Marketing ◽  
Brand Value ◽  
Winter Olympics ◽  
Existing Problems ◽  
Sporting Goods

“Sports marketing” is a very popular marketing method today. With the upcoming 2022 Beijing Winter Olympics, "Olympic marketing" has become a new way for sporting goods manufacturing industry to enhance brand value and realize brand leap. Using the method of literature review, this paper summarizes the existing problems of domestic sporting goods manufacturing industry in the process of Olympic marketing, and puts forward the corresponding marketing strategies for everyone to discuss.

scholarly journals Particularities of the European Consumer’s Behavior in Online Environments

2016 ◽  
Vol 11 (3) ◽  
pp. 21-29 ◽  
Author(s):  
Oana Duralia
Keyword(s):  
Decision Making ◽  
Social Interaction ◽  
Second Life ◽  
The Other ◽  
The Internet ◽  
Online Environment ◽  
Purchasing Behavior ◽  
Goods And Services ◽  
Marketing Tool ◽  
The One

AbstractAlthough it is no longer a novelty that the Internet has now become “fashionable”, being a means of informing, socializing and trading, which is being increasingly used by the general public, it is now imperative to study the implications of its use both on the consumer, including all the roles that it can take (initiating, financing, influencing, decision making, actual consumption of goods and services) and on the marketer, who is forced to consider the Internet as a marketing tool that can be used as a lever to generate positive reactions from the consumers. Against this background, the orientation of the individuals towards the online environment, defined by specialized literature as “the second life”, comes to justify, on the one hand, the consumers’ need for social interaction, and, on the other hand, the need for comfort and speed in identifying optimal alternatives. This paper aims to address only a facet of the behavior of the digital consumer, proposing a theoretical and instrumental analysis of the purchasing behavior of online goods and services.

scholarly journals Digital Feedback Platforms

2021 ◽  
Vol 36 ◽  
pp. 26-37
Author(s):  
A.V. Sokolov ◽  
◽  
O.E. Komarov ◽  
Keyword(s):  
Decision Making ◽  
Civil Society ◽  
Citizen Participation ◽  
Effective Interaction ◽  
The Internet ◽  
Decision Making Process ◽  
Russian Regions ◽  
Digital Platforms ◽  
Existing Problems ◽  
The Government

In present day realities there is a growing need to build a dialogue between the government and civil society, to increase the degree of citizen participation in administrative and state activities. The best opportunity for building such effective interaction is the Internet. Digital feedback platforms can play a significant role in this interaction. They demonstrate interests of the society, make it possible to identify and promptly solve the existing problems, as well as facilitate the involvement of citizens in the preparation and decision-making process. The authors conducted an expert survey to identify the features of digital feedback platform functioning. As part of the study, the factors that stimulate the authorities to establish digital platforms have been identified. The authors also identified the degree of involvement of citizens in digital platforms in Russian regions. The study helped to identify the barriers of digital platforms development and theirs widespread use. The authors formulated recommendations for further elaboration and promotion of digital platforms.

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

2018 ◽  
Vol 6 (6) ◽  
pp. 98
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing Industry ◽  
Simulation Software ◽  
Shop Floor ◽  
Simulation Tool ◽  
Routing Flexibility ◽  
Decision System ◽  
Multi Objective ◽  
Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

Communicative Transformation of Professional Values of Modern Scientific Communities

Communicology ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 15-24
Author(s):  
A.S. Proskurina
Keyword(s):  
Decision Making ◽  
Professional Ethics ◽  
Scientific Work ◽  
Professional Values ◽  
The Internet ◽  
Practical Implementation ◽  
Scientific Communities ◽  
Neoliberal Reforms ◽  
Communication Practices ◽  
The Relationship

Today ethics is embodied not only in day-to-day life, but also in the communication that surrounds it. The study of communication in professional communities makes it possible to determine the relationship between declared and practically embodied values in work. Ethical attitudes are not only postulates embedded in ethical codes, but also principles of interaction embodied in the construction of the information space and decision-making. Features of modern communications influence the way professional ethics is structured, which, in turn, affects its content and practical implementation. The communication through the Internet makes scientific work performative, filling it with symbols and labels. Increasingly, communication practices have to be carried out around indicators, and thus communication becomes a conductor of neoliberal reforms in scientific work. Therefore, the consequence of modern forms of communication is the forced utilitarianism of ethics associated with the need to compete in the “scientific market”. The article suggests possible ways to overcome the contradictions of communicative transformations of professional values.

scholarly journals Movie Recommendation through Multiple Bias Analysis

2021 ◽  
Vol 11 (6) ◽  
pp. 2817
Author(s):  
Tae-Gyu Hwang ◽  
Sung Kwon Kim
Keyword(s):  
Decision Making ◽  
Recommender System ◽  
Real World ◽  
Matrix Factorization ◽  
User Preferences ◽  
Improve Performance ◽  
Bias Analysis ◽  
Useful Knowledge ◽  
Existing Problems ◽  
Movie Recommendation

A recommender system (RS) refers to an agent that recommends items that are suitable for users, and it is implemented through collaborative filtering (CF). CF has a limitation in improving the accuracy of recommendations based on matrix factorization (MF). Therefore, a new method is required for analyzing preference patterns, which could not be derived by existing studies. This study aimed at solving the existing problems through bias analysis. By analyzing users’ and items’ biases of user preferences, the bias-based predictor (BBP) was developed and shown to outperform memory-based CF. In this paper, in order to enhance BBP, multiple bias analysis (MBA) was proposed to efficiently reflect the decision-making in real world. The experimental results using movie data revealed that MBA enhanced BBP accuracy, and that the hybrid models outperformed MF and SVD++. Based on this result, MBA is expected to improve performance when used as a system in related studies and provide useful knowledge in any areas that need features that can represent users.

scholarly journals Data-Driven Dispatching Rules Mining and Real-Time Decision-Making Methodology in Intelligent Manufacturing Shop Floor with Uncertainty

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4836
Author(s):  
Liping Zhang ◽  
Yifan Hu ◽  
Qiuhua Tang ◽  
Jie Li ◽  
Zhixiong Li
Keyword(s):  
Decision Making ◽  
Data Base ◽  
Real Time ◽  
Manufacturing Industry ◽  
Job Shop ◽  
Data Driven ◽  
Dispatching Rules ◽  
Shop Floor ◽  
Production Data ◽  
Online Decision Making

In modern manufacturing industry, the methods supporting real-time decision-making are the urgent requirement to response the uncertainty and complexity in intelligent production process. In this paper, a novel closed-loop scheduling framework is proposed to achieve real-time decision making by calling the appropriate data-driven dispatching rules at each rescheduling point. This framework contains four parts: offline training, online decision-making, data base and rules base. In the offline training part, the potential and appropriate dispatching rules with managers’ expectations are explored successfully by an improved gene expression program (IGEP) from the historical production data, not just the available or predictable information of the shop floor. In the online decision-making part, the intelligent shop floor will implement the scheduling scheme which is scheduled by the appropriate dispatching rules from rules base and store the production data into the data base. This approach is evaluated in a scenario of the intelligent job shop with random jobs arrival. Numerical experiments demonstrate that the proposed method outperformed the existing well-known single and combination dispatching rules or the discovered dispatching rules via metaheuristic algorithm in term of makespan, total flow time and tardiness.

scholarly journals Reviewing Stranger on the Internet: The Role of Identifiability through “Reputation” in Online Decision Making

2021 ◽  
Vol 13 (5) ◽  
pp. 110
Author(s):  
Mirko Duradoni ◽  
Stefania Collodi ◽  
Serena Coppolino Perfumi ◽  
Andrea Guazzini
Keyword(s):  
Decision Making ◽  
Ultimatum Game ◽  
The Internet ◽  
Self Disclosure ◽  
Quantitative Evidence ◽  
Web Technologies ◽  
Social Acts ◽  
Good Reputation ◽  
The Stranger

The stranger on the Internet effect has been studied in relation to self-disclosure. Nonetheless, quantitative evidence about how people mentally represent and perceive strangers online is still missing. Given the dynamic development of web technologies, quantifying how much strangers can be considered suitable for pro-social acts such as self-disclosure appears fundamental for a whole series of phenomena ranging from privacy protection to fake news spreading. Using a modified and online version of the Ultimatum Game (UG), we quantified the mental representation of the stranger on the Internet effect and tested if people modify their behaviors according to the interactors’ identifiability (i.e., reputation). A total of 444 adolescents took part in a 2 × 2 design experiment where reputation was set active or not for the two traditional UG tasks. We discovered that, when matched with strangers, people donate the same amount of money as if the other has a good reputation. Moreover, reputation significantly affected the donation size, the acceptance rate and the feedback decision making as well.

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