Ideating a Recommender System for Business Growth Using Profit Pattern Mining and Uncertainty Theory

2019 ◽  
pp. 223-249
Author(s):  
Vivek Badhe ◽  
Satpal Singh ◽  
Terrence Shebuel Arvind
Keyword(s):  
Recommender System ◽  
Pattern Mining ◽  
Specific Pattern ◽  
Pattern Generation ◽  
Growth Strategy ◽  
Basic Rule ◽  
Business Growth ◽  
Market Growth ◽  
Knowledge Based ◽  
Promotional Strategies

Association rule mining (ARM) alone is a classical yet powerful method for basic rule discovery. However, generic measures being used are insufficient for specific pattern generation and rules of business interest. Critical decision making is a “key” component in contemporary businesses which could be rewarded by periodically utilizing patterns and rules to steer business growth and profit as well. To effectuate self-propelled growth in businesses, a feasible optimal recommender system needs to be accomplished without human intervention that recommends targeted product marketing and promotional strategies. In conjunction to ARM, uncertainty is a growing challenge in data mining research with facets of being probabilistic, fuzzy, or vague. Among many set theories to surmount uncertainty, vague set theory is employed for handling vagueness in data which gives the motivation of implementing a knowledge-based recommender framework by aggregating the two approaches to predict uncertain market growth strategy patterns and profitable rules.

scholarly journals A Hybrid Knowledge-Based Recommender for Product-Service Systems Mass Customization

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 296
Author(s):  
Laila Esheiba ◽  
Amal Elgammal ◽  
Iman M. A. Helal ◽  
Mohamed E. El-Sharkawi
Keyword(s):  
Recommender System ◽  
Mass Customization ◽  
Constraint Satisfaction Problem ◽  
Service Systems ◽  
Prototype System ◽  
Knowledge Based ◽  
Product Service ◽  
Wide Range ◽  
Hybrid Knowledge ◽  
Product Service Systems

Manufacturers today compete to offer not only products, but products accompanied by services, which are referred to as product-service systems (PSSs). PSS mass customization is defined as the production of products and services to meet the needs of individual customers with near-mass-production efficiency. In the context of the PSS mass customization environment, customers are overwhelmed by a plethora of previously customized PSS variants. As a result, finding a PSS variant that is precisely aligned with the customer’s needs is a cognitive task that customers will be unable to manage effectively. In this paper, we propose a hybrid knowledge-based recommender system that assists customers in selecting previously customized PSS variants from a wide range of available ones. The recommender system (RS) utilizes ontologies for capturing customer requirements, as well as product-service and production-related knowledge. The RS follows a hybrid recommendation approach, in which the problem of selecting previously customized PSS variants is encoded as a constraint satisfaction problem (CSP), to filter out PSS variants that do not satisfy customer needs, and then uses a weighted utility function to rank the remaining PSS variants. Finally, the RS offers a list of ranked PSS variants that can be scrutinized by the customer. In this study, the proposed recommendation approach was applied to a real-life large-scale case study in the domain of laser machines. To ensure the applicability of the proposed RS, a web-based prototype system has been developed, realizing all the modules of the proposed RS.

APPLYING ANSOFF’S GROWTH STRATEGY MATRIX TO INNOVATION CLASSIFICATION

2018 ◽  
Vol 22 (04) ◽  
pp. 1850039
Author(s):  
TUGBA GURCAYLILAR-YENIDOGAN ◽  
SAFAK AKSOY
Keyword(s):  
Industrial Clusters ◽  
Performance Outcomes ◽  
Growth Strategy ◽  
Production Performance ◽  
Market Growth ◽  
Innovation Activities ◽  
Firm Innovativeness ◽  
Innovation Capacity ◽  
And Performance ◽  
Manage Innovation

This study aims to determine innovation capacity of a firm and to investigate the correlations between performance outcomes and innovation types. In this study, a questionnaire-based survey was conducted to classify firms with respect to different novelty degrees of innovation activities in developing new products and the magnitude of market impact shortly after innovations have been introduced and then appraise the association between innovation types and performance outcomes. The data obtained from the Turkish industrial clusters show that the higher firm innovativeness in product and market with a wide-spread diffusion effect of innovations, the greater is the market and production performance. To the best of our knowledge, this study is one of the few studies applying the product-market growth matrix to determine/manage innovation portfolio of firms.

scholarly journals Social knowledge-based recommender system. Application to the movies domain

2012 ◽  
Vol 39 (12) ◽  
pp. 10990-11000 ◽  
Author(s):  
Walter Carrer-Neto ◽  
María Luisa Hernández-Alcaraz ◽  
Rafael Valencia-García ◽  
Francisco García-Sánchez
Keyword(s):  
Recommender System ◽  
System Application ◽  
Social Knowledge ◽  
Knowledge Based

scholarly journals An Analysis of Employee Satisfaction as a Reliable Predictor of Employee Retention in MNCS Working in India.

2020 ◽  
Vol 9 (1) ◽  
pp. 1478-1486
Keyword(s):  
Financial Services ◽  
Employee Satisfaction ◽  
Business Environment ◽  
Global Market ◽  
Business Growth ◽  
Statistical Tool ◽  
Know How ◽  
Knowledge Based ◽  
Level Of Satisfaction ◽  
Variance Calculation

Today, the constantly changing environment, global competition, the nature of work made companies to realize the importance of employee satisfaction for the success of organization. Now-days the competitive advantage of most companies on global market lies in the ability to create a profit driven not only by cost efficiency, but by the ideas and intellectual know-how. The networked and knowledge-based environment made the intangible assets like skills, relations and reputations of highest value. Employee satisfaction is the pleasurable emotional state resulting from the appraisal of one’s jobs as achieving or facilities the achievement of one’s job values. It is a measure of workers contentedness with their job. Every industry has different business environment, different policies for employment and different compensation measures. With the objective to analyzing the influencing factors, best policies of job satisfaction and its impact on business growth, the author decided to investigate the level of employee satisfaction in six industries namely: INFOSYS, HCL, Technologies Tech Mahindra, Oracle Financial Services, Wipro and Tata Consultancy Services. The researcher prepared questionnaire for the employees and get it filled from 303 respondents from these industries. In order to find level of satisfaction among employees of different industries, it was subjected to T-test statistical tool for variance calculation. The study concluded with the statement that the HR policies are different in different industries. The way they are implemented in different organizations has a great impact on employee satisfaction and retention.

scholarly journals The Effects of Patents on the Relationship between R&D Activities and Business Management Performance: Focus on South Korean Venture Companies

2021 ◽  
Vol 7 (4) ◽  
pp. 210
Author(s):  
Seunghoo Jin ◽  
Daeyu Kim
Keyword(s):  
New Technology ◽  
Business Management ◽  
Moderating Effect ◽  
Growth Strategy ◽  
Business Growth ◽  
Management Performance ◽  
Positive Role ◽  
South Korean ◽  
Operating Profit ◽  
Innovation Activities

Today, innovation is achieved by challenging the existing paradigm through cross-field collaboration, and R&D innovation plays a particularly crucial role. This study analyzed the effects of R&D innovation activities on business management performance in South Korea and examined the role that patents play in various R&D innovation activities. Panel regression and moderating effect analyses were conducted on small- and medium-sized venture enterprises that undertook new technology projects over five years (2015–2019). The results showed that R&D innovation activities had a significantly positive effect on both revenue, an indicator of business growth, and operating profit, an indicator of profitability. This implies that such activities play a positive role in management activities. Thus, enterprises should consider R&D innovation activities from a business growth strategy perspective. Additionally, the analysis showed that a firm’s capacity to hold patents on R&D innovation activities has a positive moderating effect on business management performance. This study is significant, as it reveals the cause-and-effect relationship between R&D innovation actives and business management performance as well as the role of various types of innovation. The results could help enterprises to seamlessly implement innovation activities in the future.

Logistics Management and Risk Management

2018 ◽  
pp. 100-120
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Growth Strategy ◽  
Logistics Management ◽  
Sustainable Competitive Advantage ◽  
Business Growth ◽  
Chain Management ◽  
Reduced Costs ◽  
Global Operations ◽  
And Storage

Logistics management is an important part of supply chain management and deals with the movement and storage of products and services in order to meet customer demands. Risk management is the business growth strategy that can help executives handle any crisis within company toward achieving improved business planning, reduced costs, and enhanced organizational reliability. The chapter argues that applying logistics management and risk management has the potential to enhance operational performance and gain sustainable competitive advantage in global operations.

Data Mining in Franchising

2011 ◽  
pp. 927-935 ◽  
Author(s):  
Ye-Sho Chen ◽  
Grace Hua ◽  
Bob Justis
Keyword(s):  
Data Mining ◽  
Business Model ◽  
Family Relationship ◽  
Growth Strategy ◽  
High Rate ◽  
Business Growth ◽  
New Business ◽  
Bill Gates ◽  
Real Essence ◽  
Franchise Organizations

Franchising has been a popular approach given the high rate of business failures (Justis & Judd, 2002; Thomas & Seid, 2000). Its popularity continues to increase, as we witness an emergence of a new business model, Netchising, which is the combination power of the Internet for global demand-andsupply processes and the international franchising arrangement for local responsiveness (Chen, Justis, & Yang, 2004). For example, Entrepreneur magazine—well known for its Franchise 500 listing—in 2001 included Tech Businesses into its Franchise Zone that contains Internet Businesses, Tech Training, and Miscellaneous Tech Businesses. At the time of this writing, 40 companies are on its list. Netchising is an effective global e-business growth strategy (Chen, Chen, & Wu, 2006), since it can “offer potentially huge benefits over traditional exporting or foreign direct investment approaches to globalization” and is “a powerful concept with potentially broad applications” (Davenport, 2000, p. 52). In his best seller, Business @ the Speed of Thought, Bill Gates (1999) wrote, “Information technology and business are becoming inextricably interwoven. I don’t think anybody can talk meaningfully about one without talking about the other” (p. 6). Gates’ point is quite true when one talks about data mining in franchise organizations. Despite its popularity as a global e-business growth strategy, there is no guarantee that the franchising business model will render continuous success in the hypercompetitive environment. This can be evidenced from the constant up-and-down ranking of the Franchise 500. Thus, to see how data mining can be “meaningfully” used in franchise organizations, one needs to know how franchising really works. In the next section, we show that (1) building up a good “family” relationship between the franchisor and the franchisee is the real essence of franchising, and (2) proven working knowledge is the foundation of the “family” relationship. We then discuss in the following three sections the process of how to make data mining “meaningful” in franchising. Finally, future trends of data mining in Netchising are briefly described.

Research and technology development needs for scaling up conservation agriculture systems, practices and innovations in Africa.

2022 ◽  
pp. 176-188
Author(s):  
Joseph Mureithi ◽  
Saidi Mkomwa ◽  
Amir Kassam ◽  
Ngari Macharia
Keyword(s):  
Agricultural Production ◽  
Agricultural Development ◽  
Agricultural Research ◽  
Conservation Agriculture ◽  
Public And Private ◽  
Market Growth ◽  
Cropland Area ◽  
Knowledge Based ◽  
The Rich ◽  
To Come

Abstract Although the net agricultural production across all regions of Africa has experienced a significant increase, African agriculture has performed below its potential over recent decades. Many aspects have been fronted to curb this situation, including sustainable intensification of farming systems and value-chain transformation through Conservation Agriculture (CA) across Africa. Based on the latest update, Africa has about 2.7 million ha under CA, an increase of 458% over the past 10 years with 2008/09 as baseline. However, this constitutes a mere 1.5% of the global area under CA, and less than 1.4% of the total cropland area in Africa. A combination of modern techniques and the optimization of agroecological processes in CA systems and practices requires that agricultural research plays a bigger role in its evolution and focus in the different regions of Africa. This targeted research should crucially contribute towards making agriculture in Africa more productive, competitive, sustainable and inclusive in terms of its functionality towards the farmer, society and nature. Scientific solutions for agricultural transformation need to be pursued without losing sight of the potentials and fragility of Africa's agricultural environments, the complexity of its agricultural production systems and the continent's rich biodiversity. The agricultural research and development agenda in Africa must build on the rich traditional farming culture, knowledge and practices, supported by coherent longer-vision for investments in science for agricultural development. Most of these investments are expected to come from national public and private sources, with governments also expected to invest in generation of 'public goods' such as the national or global environmental benefits typical of CA, and to also catalyse innovation and support market growth. The absolute imperative is that farmers must shift from outdated conventional tillage-based methods to modern, well-tested and knowledge-based methods of land use. Making this transition will be difficult without the creation of an enabling environment. This chapter discusses the various roles and advances required in CA-based research that will support the adoption of CA systems by millions of smallholder farmers in Africa with a view to enhancing sustainable and effective agricultural development and economic growth.

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