Use of Swarm Intelligence to Involve Customers in Product Innovation

2010 ◽  
pp. 63-74
Author(s):  
Sandro Georgi ◽  
Reinhard Jung
Keyword(s):  
Swarm Intelligence ◽  
Product Innovation

Designing a business unit and creating the first ever responsive kitchen

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Paolo FESTA ◽  
Tommaso CORA ◽  
Lucilla FAZIO
Keyword(s):  
Value Creation ◽  
Product Innovation ◽  
Research Laboratory ◽  
Direct Relationship ◽  
Multidisciplinary Approach ◽  
Design Thinking ◽  
Business Unit ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
The Relationship

Is it possible to transform stone into a technological and innovative device? The meeting with one of the main stone transformers in Europe produced the intention of a disruptive operation that could affect the strategy of the whole company. A contagious singularity. By intertwining LEAN methodologies and the human-centric approach of design thinking, we mapped the value creation in the company activating a dialogue with the workers and the management, listening to people, asking for ambitions, discovering problems and the potential of production. This qualitative and quantitative analysis conducted with a multidisciplinary approach by designers, architects and marketing strategists allowed us to define a new method. We used it to design a platform that could let all the players express their potential to the maximum. This is how the group's research laboratory was born, with the aim of promoting the relationship between humans and stone through product innovation. With this goal, we coordinated the new team, developing technologies that would allow creating a more direct relationship between man and surface, making the stone reactive. The result was the first responsive kitchen ever.

Performance Analysis of TBC-ACO Routing Protocol with Existing Routing Protocols of Wireless Sensor Networks

2017 ◽  
Vol 7 (8) ◽  
pp. 169
Author(s):  
A. Radhika ◽  
D. Haritha
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Aware

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.

Effect of networks on product innovation: empirical evidence from Indonesian SMEs

2013 ◽  
Vol 1 (2) ◽  
pp. 140-158 ◽  
Author(s):  
Nurul Indarti ◽  
Theo Postma
Keyword(s):  
Empirical Evidence ◽  
Product Innovation ◽  
Dynamic Effects ◽  
Depth Of Knowledge ◽  
External Knowledge ◽  
Software Firms ◽  
Using Data

Innovative companies generally establish linkages with other actors and access external knowledge in order to benefit from the dynamic effects of interactive processes. Using data from 198 furniture and software firms in Indonesia, this study shows that the quality of interaction (i.e. multiplexity) as indicated by the depth of knowledge absorbed from various external parties and intensity of interaction (i.e., tie intensity) are better predictors of product innovation than the diversity of interaction.

KEPUTUSAN PEMBELIAN E-COMMERCE SHOPEE DITINJAU DARI WEBSITE QUALITY, INOVASI PRODUK, DAN ELECTRONIC WORD OF MOUTH (STUDI PADA MAHASISWA FAKULTAS EKONOMI UNIVERSITAS ISLAM BATIK SURAKARTA)

2020 ◽  
Vol 4 (02) ◽  
Author(s):  
Tulus Dwi Prasetyo ◽  
Istiatin Istiatin ◽  
Bambang Mursito
Keyword(s):  
Product Innovation ◽  
Word Of Mouth ◽  
Sampling Technique ◽  
Primary Data ◽  
Electronic Word Of Mouth ◽  
Purchasing Decisions ◽  
Literature Study ◽  
Website Quality ◽  
Quality Product ◽  
Economics Faculty

The purpose of this research is to find out whether there is a significant influence between variable website quality, product innovation, and electronic word of mouth on e-commerce shopee purchasing decisions. In addition, it is also to find out whether there is a significant simultaneous effect and which variable is the most dominant in influencing the purchase decision of e-commerce shopee at the Faculty of Economics, Batik Islamic University, Surakarta. The method used is quantitative descriptive method. The population in this study amounted to 1330 students and the number of samples used was 133, where the sampling technique used quota sampling. The data used are primary data and secondary data with data collection techniques: observation, documentation, questionnaire and literature study. Data analysis techniques in this study used multiple linear tests. The results of the study can be concluded that: The results of the study can be concluded that: 1) There is the influence of website quality, product innovation, and electronic word of mouth simultaneously influence the purchasing decision of e-commerce shopee on the Students of the Faculty of Economics, Islamic University of Batik Surakarta, 2) There is an influence website quality on e-commerce shopee purchasing decisions at the Batik Faculty Islamic University Economics Faculty Students, 3) There is an influence on product innovation on e-commerce shopee purchasing decisions at the Batik Faculty Islamic Economics Faculty Students, 4) There is the influence of electronic word of mouth on the decision purchasing e-commerce shopee at the Faculty of Economics, Surakarta Islamic Batik University. Keywords: Purchasing Decisions, Website Quality, Product Innovation, Electronic Word Of Mouth

PENGARUH NILAI PELANGGAN, INOVASI PRODUK DAN KUALITAS LAYANAN TERHADAP LOYALITAS NASABAH BANK MUAMALAT INDONESIA CABANG MADIUN

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Binti Mutafarida
Keyword(s):  
Quality Of Service ◽  
Customer Loyalty ◽  
Random Sampling ◽  
Product Innovation ◽  
Customer Value ◽  
Research Method ◽  
Sampling Method ◽  
Descriptive Research ◽  
Independent Variable

The development of sharia banking in Indonesia very rapidly grow up preceded by Bank Muamalat Indonesia and in 2013 ranked as the bank with the highest loyalty and the best among other sharia banking nationally. Bank Muamalat Indonesia branch of Madiun is one of the first branch in Madiun and currently has many competitors from other sharia banking. Based on this background, in this study take what factors affect the size of customer loyalty Bank Muamalat Indonesia branch of Madiun. Based on the result of research, it is found that the level of loyalty of customer of Bank Muamalat of Madiun branch is mostly influenced by product innovation with value of t test value obtained by t-count 2,493, while second factor is influenced by service quality with result of tcount 2,268. So the least influenced factor by the value of the customer is with value of 2.217. This research is a descriptive research method and associative / relationship, this matter to know the value of independent variable. While population of this research is funding customer of Bank Muamalat Indonesia branch of Madiun with amount of 22.196 customer by taking data using random sampling method as much as 108 customer. Keyword: Customer Value, Product Innovation AND Quality Of Service

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