Stimulating idea generation for new product applications

2018 ◽  
Vol 10 (4) ◽  
pp. 454-474 ◽  
Author(s):  
Lorenzo Fiorineschi ◽  
Francesco Saverio Frillici ◽  
Giovanni Gregori ◽  
Federico Rotini
Keyword(s):  
Product Information ◽  
Idea Generation ◽  
New Product ◽  
Step Method ◽  
Content Type ◽  
Patent Classification ◽  
Novel Approach ◽  
International Patent ◽  
New Applications

Purpose This paper aims to provide suggestions for the identification of potential new applications for the existing products and/or technologies. Design/methodology/approach A nine-step method has been developed for extracting information about a product or technology, processing the international patent database (IPD) and extracting useful hints for potential new applications. An academic case study has been used to perform the first application of the proposal. Findings A novel approach for processing IPD aimed at supporting the identification of new opportunities for exploiting existing products/technologies. The case study application shows that the proposal allows to extract potentially useful and non-obvious suggestions for new product applications. Research limitations/implications Although some limits inevitably affect this preliminary version of the proposal, important hints for future developments have been inferred for a more comprehensive exploitation of both the firm internal knowledge and the suggestions provided by the international patent database. Practical implications The achieved results can support firms in expanding market opportunities for their products or technologies. Originality/value The proposed approach offers a new structured path for stimulating idea generation for new product applications, by exploiting product information and the cooperative patent classification.

Why and how are social media used in a B2B context, and which stakeholders are involved?

2017 ◽  
Vol 32 (8) ◽  
pp. 1098-1108 ◽  
Author(s):  
Svante Andersson ◽  
Niclas Wikström
Keyword(s):  
Social Media ◽  
Product Information ◽  
Customer Relationships ◽  
Content Type ◽  
Study Approach ◽  
Social Media Tools ◽  
Use Of Social Media ◽  
New Applications ◽  
Business To Business

Purpose This study aims to explore why and how business-to-business (B2B) companies use social media and which users and stakeholders they communicate with. Design/methodology/approach The study employs a case study approach because of its exploratory nature. Data from three companies consisted of interviews and observation of websites. The analysis includes within-case and cross-case displays to find patterns and themes in the data. Findings The study shows that companies in a B2B contexts use social media as communication to enhance customer relationships, support sales and build their brands, in line with prior research. However, they also use social media as a recruiting tool, a seeking tool and a product information and service tool. Research limitations/implications The findings confirm extant literature showing that B2B companies can directly influence content through corporate user accounts. Furthermore, firms in early stages of social media do not target any special stakeholders with broader messages, while more experienced social media users develop special messages for different stakeholders. Practical implications This study contributes by shedding light on how B2B companies use social media. It also shows how different channels are effective with different stakeholders. Originality/value Few studies have investigated the use of social media in a B2B context. This study goes beyond prior work by detailing how different social media tools are used, identifying different users and stakeholders, and explaining why different tools are used for different purposes targeted towards different stakeholders. New applications of the use of social media are also identified.

scholarly journals Improving the new product development using big data: a case study of a food company

2019 ◽  
Vol 121 (11) ◽  
pp. 2835-2848 ◽  
Author(s):  
Sandeep Jagtap ◽  
Linh Nguyen Khanh Duong
Keyword(s):  
Big Data ◽  
Product Development ◽  
New Product Development ◽  
Food Industry ◽  
Idea Generation ◽  
Food Product ◽  
New Product ◽  
Relevant Information ◽  
Content Type

Purpose Recently, the concept of big data (BD) has evolved and started to play an essential role in the advancement of new product development (NPD) in various sectors contributing to value creation, idea generation and competitive advantage. However, limited research has been done on how the food industry can exploit BD to improve the processes involved in NPD. The purpose of this paper is to understand the use of BD in new food product development. It helps to find relevant information and integrate sustainability to the early stages of the NPD process in the food industry. Design/methodology/approach This research illustrates a case study of a beverage company wherein they used BD analytics to support their NPD team to launch a two-litre lemonade drink in the market for their retailer with less than 5 g sugar per 100 ml in the shortest possible time. Findings The use of BD helps to reduce NPD costs and time without affecting the taste and on par with competitor’s products. Originality/value The research can support NPD professionals through the application of BD analytics to bring products at lower costs to the market as quickly as possible.

scholarly journals Combining knowledge to generate novelty: a study of disclosed ideas for life science inventions

2017 ◽  
Vol 20 (3) ◽  
pp. 446-462 ◽  
Author(s):  
Taran Thune ◽  
Magnus Gulbrandsen
Keyword(s):  
Life Science ◽  
Idea Generation ◽  
New Product ◽  
Original Data ◽  
Generation Process ◽  
Data Set ◽  
Content Type ◽  
Cross Domain ◽  
Research Activities ◽  
New Ideas

Purpose The purpose of this paper is to investigate how a combination of diverse sources of knowledge is important for generation of new ideas and address how institutional infrastructures and practices support integration of knowledge across organizations in medicine and life sciences. Design/methodology/approach The paper investigates new product ideas that emerge from hospital and university employees, and looks at the extent of interaction between clinical and scientific environments in the idea generation process. The paper utilizes data about all new product ideas within life science that were reported in South-Eastern Norway in 2009-2011, as well as information about the individuals and teams that had been involved in disclosing these ideas. Interviews with inventors have also been carried out. Findings Interaction and integration across scientific and clinical domains are common and important for generating new product ideas. More than half of the disclosed life science ideas in the database come from groups representing multiple institutions with both scientific and clinical units or from individuals with multiple institutional affiliations. The interviews indicate that the infrastructure for cross-domain interaction is well-developed, particularly for research activities, which has a positive effect on invention. Originality/value The paper uses an original data set of invention disclosures and investigates the hospital-science interface, which is a novel setting for studies of inventive activities.

A case study on FMEA-based improvement for managing new product development risk

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Antonio Carrizo Moreira ◽  
Luis Miguel D.F. Ferreira ◽  
Pedro Silva
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Early Phase ◽  
Design Methodology ◽  
New Product ◽  
Manufacturing Companies ◽  
User Friendliness ◽  
Content Type ◽  
Development Risk

PurposeThe purpose of this paper is to explore the applicability of the failure mode and effects analysis (FMEA) as an effective tool for decreasing failure risk in the early phase of the new product development (NPD), which adds to existing literature on the application of FMEA in NPD.Design/methodology/approachThrough the application of action research (AR) methodology, it was possible to develop a case study examining the use of FMEA to decrease NPD risk in an early phase of NPD execution.FindingsThe importance and immediate gains of identifying NPD failures support FMEA's usefulness for NPD risk decrease. Moreover, its user-friendliness, timeliness and cost advantages facilitate the introduction of FMEA in the early phase of NPD execution.Originality/valueFMEA is a well-known method used in manufacturing companies to identify and correct failures in products, processes and systems. This article explores the lack of practice-oriented evidence on the use of FMEA in the early phase of NPD execution and provides support to its applicability and effectiveness.

scholarly journals How preference markets assist new product idea screening

2016 ◽  
Vol 116 (3) ◽  
pp. 603-619 ◽  
Author(s):  
Giancarlo Lauto ◽  
Finn Valentin
Keyword(s):  
New Product Development ◽  
Early Stage ◽  
New Product ◽  
Management Committee ◽  
Content Type ◽  
Complex Information ◽  
Development Professionals ◽  
Decision Making Processes ◽  
Innovation Contest

Purpose – The purpose of this paper is to examine the different heuristics adopted by a crowd and a management committee to evaluate new product proposals, and whether, in assessing the value of proposals, they emphasize different features. Design/methodology/approach – The study takes a quantitative analysis approach to study an internal innovation contest held by the biotechnology company Novozymes. The contest generated 201 proposals that were evaluated by 109 research and development professionals by means of a virtual preference market, and by a management committee. Findings – The crowd and the committees’ assessments of the value of the proposals were based on different features. The committee emphasized experience and inventors’ seniority; the crowd set more store on informative idea descriptions but penalized overly complex and lengthy proposals. Research limitations/implications – The design of the innovation contest does not allow full comparison of the preference functions of crowd and committee. The findings from this case study cannot be generalized. The early stage of new product development seems fruitful for investigating crowdsourcing and knowledge management. Practical implications – Firms should consider adopting preference markets for idea screening and evaluation since they appraise ideas from different angles compared to managers. However, they complement, rather than substitute managerial evaluation, especially in the case of more detailed proposals. Originality/value – This is one of the first attempts to identify differences in the decision-making processes of crowds and committees. The paper identifies their strengths as evaluators of new product ideas and finds that the “wisdom of crowds” has some limitations in relation to the ability to process complex information.

Project risk planning in high-tech new product development

2016 ◽  
Vol 29 (2) ◽  
pp. 110-124 ◽  
Author(s):  
Jorge Ayala-Cruz
Keyword(s):  
Risk Management ◽  
New Product Development ◽  
New Product ◽  
High Tech ◽  
Project Risk ◽  
Content Type ◽  
Management Framework ◽  
Risk Management Framework ◽  
Project Risks

Purpose The purpose of this paper is to present the implementation and testing of a modified project risk management framework that integrates PMI’s framework with Monte Carlo simulation to improve the effectiveness in high-tech new product development (NPD) projects. Design/methodology/approach The modified framework considers three bodies of knowledge: project management, risk management, and Monte Carlo simulation to produce an enhance project risk management framework. Its application is shown through a case study. Findings Using the integrated framework in a recent case study project and prior NPD projects measures (as benchmarks), it was shown that it could help to enhance risk responses caused by task durations and costs’ uncertainties. The framework proved to be better than segregated generic best practices and was key in providing insight to the issue of early project risk assessment. Research limitations/implications More experimental replications are required for enhancement effectiveness assertions of the framework, through the application of the framework to similar case studies. Furthermore, this could improve its reliability and soundness. Practical implications Future directions for research could include case and empirical studies that include hypothesis’s testing, and the integration of optimization procedure for improved NPD project’s planning and execution. Originality/value This paper outlines a way to close the gap of project risks management planning in NPD’s initiatives. It was motivated by a relatively new tendency in exploring integrated frameworks to deal with complex project risks issues.

scholarly journals The dark side of effectuation in a key account management relationship

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Phillip McGowan ◽  
Chris Simms ◽  
David Pickernell ◽  
Konstantios Zisakis
Keyword(s):  
Product Development ◽  
New Product Development ◽  
New Product ◽  
Dark Side ◽  
Key Account Management ◽  
Supplier Relationships ◽  
Content Type ◽  
Account Management ◽  
Key Account

Purpose The purpose of this paper is to consider the impact of effectuation when used by small suppliers within key account management (KAM) relationships. Design/methodology/approach An exploratory longitudinal case study approach was used to examine a single small supplier operating in the snack foods sector of the UK foods industry, as it entered into a new KAM relationship with a major retailer and undertook four new product development projects. Findings Findings suggest effectuation may positively moderate the ability of a small supplier to enter into a KAM relationship by enabling it to obtain resources and limit risk. However, once within the relationship, the use of effectuation may negatively impact success by increasing the potential for failure to co-create new product development, leading to sub-optimal products, impacting buyer confidence and trust. Furthermore, a failed KAM relationship may impact other customers through attempts to recover revenues by selling these products, which may promote short-term success but, in the long-term, lead to cascading sales failure. Research limitations/implications It cannot be claimed that the findings of just one case study represent all small suppliers or KAM relationships. Furthermore, the case presented specifically concerns buyer-supplier relationships within the food sector. Practical implications This study appears to suggest caution be exercised when applying effectuation to enter into a KAM relationship, as reliance on effectual means to garner required resources may lead to the production of sub-optimal products, which are rejected by the customer. Additionally, a large customer considering entering into a KAM relationship with a small supplier should take care to ensure their chosen partner has all resources needed to successfully deliver as required or be prepared to provide sufficient support to avoid the production of sub-optimal products. Originality/value Findings suggest the use of effectuation within a KAM relationship has the potential to develop a dark side within business-to-business buyer-supplier relationships through unintentional breaches of trust by the selling party.

scholarly journals Forensic triage of email network narratives through visualisation

2014 ◽  
Vol 22 (4) ◽  
pp. 358-370 ◽  
Author(s):  
John Haggerty ◽  
Sheryllynne Haggerty ◽  
Mark Taylor
Keyword(s):  
Qualitative Data ◽  
Data Sets ◽  
Content Type ◽  
Electronic Evidence ◽  
Relevant Evidence ◽  
Novel Approach ◽  
Potential Sources ◽  
Digital Investigation ◽  
Tools And Techniques

Purpose – The purpose of this paper is to propose a novel approach that automates the visualisation of both quantitative data (the network) and qualitative data (the content) within emails to aid the triage of evidence during a forensics investigation. Email remains a key source of evidence during a digital investigation, and a forensics examiner may be required to triage and analyse large email data sets for evidence. Current practice utilises tools and techniques that require a manual trawl through such data, which is a time-consuming process. Design/methodology/approach – This paper applies the methodology to the Enron email corpus, and in particular one key suspect, to demonstrate the applicability of the approach. Resulting visualisations of network narratives are discussed to show how network narratives may be used to triage large evidence data sets. Findings – Using the network narrative approach enables a forensics examiner to quickly identify relevant evidence within large email data sets. Within the case study presented in this paper, the results identify key witnesses, other actors of interest to the investigation and potential sources of further evidence. Practical implications – The implications are for digital forensics examiners or for security investigations that involve email data. The approach posited in this paper demonstrates the triage and visualisation of email network narratives to aid an investigation and identify potential sources of electronic evidence. Originality/value – There are a number of network visualisation applications in use. However, none of these enable the combined visualisation of quantitative and qualitative data to provide a view of what the actors are discussing and how this shapes the network in email data sets.

scholarly journals A Methodology for Evaluation and Distribution of Patent Applications to INPI-BR Patent Examiners: A Case Study in the Electricity Field

2021 ◽  
Author(s):  
Cesar Vianna Moreira Júnior ◽  
Daniel Marques Golodne ◽  
Ricardo Carvalho Rodrigues
Keyword(s):  
Principal Component ◽  
Patent Classification ◽  
Technological Field ◽  
International Patent ◽  
Relevant Variables ◽  
Pca Method ◽  
Patent Applications ◽  
Examination Process

This paper presents the development of a new methodology for evaluation and distribution of patent applications to the examiners at the Brazilian Patent Office considering a specific technological field, represented by classification of the application according to the International Patent Classification (IPC), and the variables corresponding to the volume of data of the application and its complexity for the examination process. After identifying the most relevant variables, such as the Specific Areas of Expertise (ZAE) of the examiners, a mathematical model was developed, including: (a) application of the principal component analysis (PCA) method; (b) calculation of a General Complexity Ratio (IGC); (c) classification into five classes (very light, light, moderate, heavy and very heavy) according to IGC average ranges and standard deviations; (d) implementation of a logic of distribution, compensating very heavy applications with very light ones, and light applications with heavy ones; and (e) calculation of a Distribution Balancing Ratio (IBD), considering the differences between the samples’ medians. The model was validated using a sample of patent applications including, in addition to the identified variables, the time for substantive examination by the examiner. Then, a correlation analysis of the variables with time and a comparison of the classifications according to the time and the IGC generated by the model were carried out. The results obtained showed a high correlation of the IGC with time, above 80%, as well as correct IGC classes in more than 80% of applications. The model proposed herein suggests that the three main relevant variables are: total number of pages, total number of claims, and total number of claim pages.

Influence of customer participation in new product development: the moderating role of social media

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sonica Rautela ◽  
Sarika Sharma ◽  
Shreya Virani
Keyword(s):  
Social Media ◽  
Product Development ◽  
New Product Development ◽  
Structural Equation ◽  
Idea Generation ◽  
New Product ◽  
Business Environment ◽  
Customer Participation ◽  
Content Type ◽  
Three Phases

PurposeThe business environment is changing and so are the rules of doing business. Constant innovation is the key to win in this dynamic marketplace, so that the new ideas get converted into new marketable products quickly with the least possible mistake. One way to inculcate innovation is by the participation of customers in the new product development (NPD) process. Platforms like social media has provided an opportunity for firms to communicate, co-create and collaborate with customers. The present study aims to understand the customers' participation in three phases, namely idea generation, development and commercialization of the NPD process for its effectiveness.Design/methodology/approachWith the help of review of existing literature, a theoretical model is proposed. This model is then empirically evaluated with data of 213 respondents using structural equation modelling (SEM). The respondents are majorly young social media users in India.FindingsThe results highlight that customer involvement is important in idea generation and commercialization phase of NPD process for its effectiveness. Also, the effectiveness of NPD process affects the financial performance of the firm. The use of social media is considered for its mediating role in NPD process effectiveness during the three phases. The results show that it has an effective role to play during the idea generation phase.Originality/valueConsumers’ perspective concerning usage of social media for their participation in NPD is an unexplored area in general and in the Indian context in particular. To fill this research gap the present study is carried out.

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