International Journal of Product Development (12 papers in press)
Four Decades of New Product Development Research: An Integrative Review
by Neeraj Pandey, Avadhut Arun Patwardhan, Swarnima Rao
Abstract: Changes in global market conditions and regulatory policies have led to a greater focus on new product development (NPD). To survive and compete in the market, organizations need to develop a comprehensive understanding of NPD, including the past and present trends in NPD research. This study attempts to address this need by analyzing scholarly literature on NPD published in last four decades, i.e. 1976-2017. Unlike previous literature reviews that focused on specific NPD aspects such as performance measurement or model selection/evaluation, this study adopts a holistic perspective. By analyzing 381 articles on NPD, we shed light on the underlying research trends, common research characteristics as well the gaps in research and potential directions for future NPD research.
Keywords: Literature Review; New Product Development; Innovation; Product design.
Linking Design Problems and Modular Solutions
by Lorenzo Fiorineschi, Federico Rotini
Abstract: Designing products implies to deal with a series of issues affecting their entire life cycle, which are often solved by exploiting the benefits offered by modular architectures. Nevertheless, although several studies have been performed on this argument, understanding when and how to adopt modularity still remains a non-trivial task, especially in the early design stages. Indeed, different modularity types can be found in literature, but it is unclear whether they can be linked to specific categories of design problems or not. Attempting to fill this gap, the paper proposes an investigation strategy to highlight the relationship between modular solutions and design problems. An illustrative application of the proposal on a sample of products is presented together with the achieved results. They show that the proposed investigation approach potentially allows to highlight preferred modular solutions for specific problem categories. Moreover, a new set of unambiguous definitions of the modularity types is presented to clearly identify interfaces and interactions among modules
Keywords: engineering design; modularity; modular design; problem solving; product architecture.
Exploring traditional and new web-based methods to involve customers in new product development
by Wei Liu, Songhe Ye, James Moultrie
Abstract: This research seeks to understand the extent to which new web-based methods of involving customers are being applied in New Product Development (NPD). There are distinctive capabilities offered by both traditional and new web-based methods, but little is known regarding the uptake and use of these new approaches. Semi-structured interviews with R&D managers in six leading companies were conducted. Each interview was recorded and transcribed. The interviews sought to identify the methods viewed as being most effective and to determine views on the use of web-based methods in contrast to traditional approaches. Results indicate that new web-based methods are being used, but mostly superficially as a means of collecting feedback after product launch and there is limited use of these methods for customer involvement during product development. However, there is a growing awareness of the need to use them more effectively. Implications for managerial practice are also derived.
Keywords: New methods; traditional methods; customer involvement; new product development; Internet.
Integrating knowledge for manufacturing technology development
by Anna Sannö, Mats Ahlskog
Abstract: The manufacturing industry of today is constantly challenged with new requirements that have to be fulfilled in order to stay competitive on both the short term and the longer term. These new requirements can trigger the need to develop the technology in production. With technology development come uncertainties which can be reduced by integrating new knowledge in the organisation. The overall purpose of this paper is to explain empirically how knowledge integration can be managed in order to reduce the uncertainty of manufacturing technology development while balancing resources towards the short-term production needs. The findings of the current research highlight collaboration, specialist competence and a systematic approach considering the setting, which needs to be managed when conducting manufacturing technology development during full production
Keywords: technology management; interactive research; manufacturing industry; knowledge integration.
Consumer preference for eco-friendly appliances in trade-off: A Conjoint analysis approach
by Kushagra Kulshreshtha, Naval Bajpai, Vikas Tripathi, Gunjan Sharma
Abstract: By taking an emerging green perspective into consideration, the primary purpose of this research paper is to examine the impact of green-labels (such as green manufacturing, green logistic, green distribution) with routinely adopted attributes such as brand and price on consumer preference. In addition, an attempt has been made to examine the utility score and relative importance of the different attributes levels of high involvement products preferred by different strata of the people. Findings show that consumers preference varied based on green-labels used for products under green initiatives taken by the companies. When the consumers were given the option to choose, they preferred green-distribution label more effective in addressing the environmental issues over others. Based on the relative importance score, it was being revealed that price played an important role over attributes. However, based on the utility score it was observed that consumers are ready to pay more for the green product. Given the limited academic interest in the area, this study contributes to the literature by providing insights into tier-I, tier-II and tier-III cities consumers preferences and facilitates the marketers to use mentioned green-labels more effectively while launching the new product in the market. Based on the needs and wants of consumers, this research is useful for consumer durable industry to design and plan its strategies as per the findings for high involvement products.
Keywords: Consumer preference; Consumer durable; Green supply chain management; Green manufacturing; Green logistic; Brand; Price; Utility score; Part worth; Conjoint analysis; ANOVA.
Special Issue on: Applications of Information Management and System Engineering
Development of marker based augmented reality system for object detection in an optimum latency time
by Suman Bhakar, Devershi Pallavi Bhatt
Abstract: Augmented reality is an emerging technique to monitor real time environment to take a decision based on the collected data. With the advancement in the concept of augmented reality and rapid development of robots, there is a need to develop a system or a method to reduce the latency in the most challenging conditions. Although, now some applications are using marker less augmented reality technique due to complications in object detection and tracking in Boston dynamics (robotics) & real time application we relied on fiducial marker based system. This paper mainly proposes an AR system which explains a guideline to detect the fiducial marker by an object (unidirectional movement) at minimum latency time. In this experiment, fiducial marker detection and position orientation with respect to the camera has been processed by Aforge.NET Framework in combination with C# language and pose estimation. We designed machine marker detection algorithm and mathematics equation which compute the latency time in different challenging conditions lux, distance frame per second of camera in an optimum latency time.
Keywords: fiducial marker; POSIT; object detection; latency time; camera; augmented reality; lux; distance.
A Hybrid Classification Based Model for Automatic Text Summarization using Machine Learning Approaches: CBS-ID3MV
by Esther Hannah
Abstract: A hybrid approach for the generation of automatic text summarization is achieved through CBSID3MV. A Classification Based model using ID3 and multivariate (CBS-ID3MV) approach produces summaries from the text documents through classification and multiple linear regression. Efficient feature selection and extraction methods identify text features from each sentence, for the purpose of classifying summary sentences. The CBS-ID3MV model is trained with DUC 2002 training documents and the
proposed approachs performance is measured at several compression rates namely 10%, 20% and 30% on the text data. The results got by the proposed framework works better when compared with other summarizers after evaluation using ROUGE metrics.
Keywords: Training; Classification; Machine Learning; Decision Trees; Feature extraction,
An Empirical study on the Cellular Subscribers Churn, Selection Factors and Satisfaction with the Services
by Richa Misra, Sonali Singh, Renuka Mahajan
Abstract: Abstract: With mobile phones becoming smarter, almost all smart operating systems are downloading and using data. Due to increased competitiveness, mobile operators are struggling with falling voice and text revenue and higher churn rates. It is important for mobile operators to identify the determinants of customer satisfaction, the attributes that are important while selecting a service provider, to understand the factors for customer churn and identify the relationships between these three constructs with respect to higher mobile data usage. In order to validate the proposed relationship, Confirmatory Factor Analysis using Structure Equation Modeling is used. Findings indicate that one of the important construct of selecting a service provider is customer satisfying experience with the service provider. Also, it has been found that significance of data services is constantly increasing for the subscribers. These findings will be useful to both service providers and researchers to comprehend service quality parameters considering mobile subscribers view point. This can help to re-look the existing benchmarks and increase customer satisfaction.
Keywords: Customer satisfaction; churn; service quality; Data Services; cellular; mobile; customer preference; customer expectation.
A Smart System of 3D Liver Tumor Segmentation
by Ankur Biswas, Paritosh Bhattacharya, Santi Prasad Maity
Abstract: An efficient segmentation of liver tumor and volumetry facilitates medical experts to resolve the rate of tumor growth and follow up treatment. In this paper a smart system for semi-automatic segmentation of liver tumor from medical images based on Geodesic active contours using level set method is proposed. The system passes through following stages. After the image is loaded, the region of interest (ROI) is selected and the Geodesic Active Contours with level set methods are initialised. Then segmentation result is updated to extract the tumor in three dimensions. The liver tumors detected by the system were compared with those delineated manually by experts, used as the ground truth results. The system was evaluated on Computed Tomography images of different datasets of tumors and compared with other methods. The result of proposed system obtained the Dice SC 0.948 and Jaccard SC 0.902 exhibits the steadfastness and effectiveness of the system.
Keywords: Semi automatic segmentation; medical images; Geodesic Active Contour; Level set; ROI; Computed Tomography; Dice SC and Jaccard SC.
Layered Approach of Analysing OSS and Risk Management
by Shiva Tyagi, Devendra Kumar, Sachin Kumar
Abstract: In a simple language a software product where in the availability of the source code of the software is available in the public domain is referred to as an Open Source Software (OSS). Few models proposed in the papers published in the different international journals will also be discussed in this paper. Some statistical data concerning open source software and the related shortcomings will also be analysed briefly in this paper. A detailed and a thorough comparison of the OSS with the closed source software, their advantages vis-
Keywords: Open Source Software; Quality Assurance; Risk Management; OSS developers.
Manufacturing Simulation of Alternate Additive Manufacturing Method Using Cubes with CATIA Macro Programming.
by Sam Chelladurai, Rajesh Ranganathan, B. Sanjay Gandhi
Abstract: The present additive manufacturing methods limit to size and the time taken to manufacture the components is also limited because of the layering approach. A layer-less approach is proposed which is based on arranging different sizes of cubes to achieve the final product. An algorithm is developed and manufacturing feasibility is simulated using CATIA software and its macros. It was found that the components can be manufactured using this additive manufacturing method without the layer approach. The proposed additive manufacturing method and the algorithm can be applied to additive manufacturing situations demanding very large components to be manufactured with less amount of time.
Keywords: Additive Manufacturing; Large Scale Prototyping; Information System in additive manufacturing; Computer Application in Mechanical Engineering.
A cloud based architecture for competence management and discovery
by Badrina Gasmi Boumezoued, Nacer Boudjlida
Abstract: This work aims to define a method based on conceptual graphs formalism for competence management, and then apply the method for competence discovery and composition on distributed competence and knowledge bases. The paper contributes towards competence and knowledge management literature in two ways. The first contribution is first to formally represent the competences and second to define detailed algorithms for competence discovery and composition. The second contribution is in defining a conceptual architecture for the system of competence management and discovery based on the cloud in order to face the problems related to scalability, to take profit of the benefits of cloud computing technology and as a basis for the proof of concepts.
Keywords: Competence management; competence discovery; Cloud computing; Conceptual graphs; SaaS; composite answers.