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In this article a practical framework is proposed, that can be used to organise the activities related to the selection‐process of technology development projects. The framework is based upon recent literature and application at DAF Trucks Company. A technology development project has a long way to go, before it contributes to the productivity of the company. This long lead‐time causes uncertainties and risks. Changes in market‐preferences and upcoming alternative technologies can prematurely make the developing technology become obsolete. In order to reduce the uncertainties and risks, the main technology opportunities and threats need to be identified as early as possible and submitted to a validation process. The technology opportunities and threats then have to be moulded into well‐defined project‐propositions. Out of the project‐propositions those projects should be selected that will best meet the long‐term objectives of the company. This paper is intended to be used as a reference for companies whowant to improve their technology development selection process.

Inherent in MIS applications undergoing development are elements of risk and a potential for failure. A strategy for choosing a development approach based on project risk is presented. Project risk is examined in the light of project size, a development group's experience with a technology and project structure. Three development approaches are considered: SDLC, prototyping and end‐user development. The simple and joint outcomes of project risk vis‐à‐vis development approach are described along with the proposed strategy.

Artificial intelligence (AI) is the most progressive commodity among current information system applications. In-house development and sales of beneficial products are difficult for many software development and service companies (SDSCs). SDSCs have some implicit concerns about implementing AI software development due to the complexity of AI technology; they require an evaluation framework to avoid development failure. To fill the void, this study identified the factors influencing SDSCs when developing AI software development.

Based on complex adaptive systems theory, three aspects were developed as the main factors of hierarchy, namely, employees' capabilities, environmental resources and team capabilities. Fuzzy analytic hierarchy process (FAHP) was used to assess the SDSCs' attitude. Based on SDSCs, attitudes toward implementing AI software projects were collected to calculate the hierarchy of factors.

The outcome of FAHP is used as understanding the key factors of SDSCs for selecting an AI software project, toward the improvement of overall project planning. Employees' stress resistance was considered as a priority for the project, although professional AI skills and resources were also important.

This study suggested three variables developed using complex adaptive systems. This study contributes to a better understanding of the critical aspects of developing AI software projects in SDSCs. The study's findings have practical and academic implications for SDSCs and subsequent academic development, broadening the scope of AI software development research.

This study identifies and analyzes practices related to declarative knowledge of organizational learning in the product development process (PDP) that uses the Stage-Gate (SG) system.

The field research was conducted with a qualitative approach through a case study. The study object was a multinational company in the automotive sector that is highly competent in truck chassis design with a PDP based on the SG system.

The authors identified PDPs associated with the elements of declarative knowledge of organizational learning in intra- and inter-development teams. Rather than merely being a checklist, each gate in the SG system has the potential to become a more effective and robust intra-team learning practice and promote inputs for continuous improvement in the process through its use as a checkpoint of the five elements of declarative knowledge during the development activities.

The case study was conducted in a multinational company in the automotive sector, whose business units are divided by competencies. The unit studied is a reference in truck chassis and is located in the State of São Paulo, Brazil.

The research model presented can be used to evaluate how companies exploit their activities and practices to leverage organizational learning in PDP. That is, the model can be used as a diagnostic reference for declarative knowledge in companies that apply the SG system to manage PDP.

The study focuses on a model of PDP analysis, aspects of organizational learning and declarative knowledge, in that the model it assists in the collection, distribution and use of information to the development team members with a view for products with greater innovation potential.

Esta pesquisa tem como objetivo identificar e analisar práticas relacionadas ao conhecimento declarativo da aprendizagem organizacional no processo de desenvolvimento de produtos que utilizam o sistema Stage-Gate (SG).

A pesquisa de campo foi realizada com abordagem qualitativa por meio de um estudo de caso. O objeto de estudo foi uma empresa multinacional do setor automotivo de alta competência em projeto de chassis de caminhões com processo de desenvolvimento de produto baseado no sistema Stage-Gate.

A descrição das práticas já existentes no PDP de uma empresa multinacional do setor automotivo e que estão associadas aos elementos do conhecimento declarativo da aprendizagem organizacional nos ambientes intra e inter equipe. O gate ao invés de ser apenas um checklist, tem potential de se tornar uma prática de aprendizado intra-equipe mais efetiva e robusta e promover inputs para melhoria contínua do PDP através da utilização dele como um ponto de verificação dos 5 elementos do conhecimento declarativo que foram conduzidos pelo time de projeto durante as atividades de desenvolvimento.

O modelo de análise apresentado pelo artigo pode servir como base de avaliação de como as empresas exploram suas atividades e práticas de desenvolvimento de produtos durante as revisões de fase para garantir a aprendizagem organizacional, ou seja, como referencial de diagnóstico do conhecimento declarativo em empresas que aplicam a sistemática de stage-gates para o gerenciamento de PDP.

O artigo une em um modelo para análise de PDP, aspectos de aprendizagem organizacional e conhecimento declarativo, na medida em que ela auxilia na coleta, distribuição e utilização de informação aos membros do PDP com vistas a produtos com maior potential de inovação.

Infrastructure development through public-private partnership (PPP) route in India has exhibited concerns about not promoting progress toward sustainable development goals, particularly social and environmental perspectives. The purpose of this paper is, therefore, to identify the shortcomings in the Indian PPP procurement process using the key principles of sustainability.

Qualitative research inquiry through grounded theory approach by using the literature and interview source was used to identify the challenges encountered in sustainable infrastructure development of PPP projects. These challenges were, first, reviewed from the perspectives of key sustainability principles and then discussed with the key stakeholders through focused interviews. Furthermore, micro-interlocutor analysis was carried to get an insight on the extent of consensus amongst the experts regarding these identified shortfalls.

The key shortfalls identified from the study that adversely affect progress toward sustainable development include incomprehensive environmental impact assessment and social impact assessment studies; lack of stakeholder and local participation; high bidding and transaction cost; high user charges; improper risk allocation; lack of transparency and accountability; goal conflicts between public and private sector; and lack of skill and knowledge about sustainability.

The study findings will help in devising appropriate strategies for enhancing the mechanisms, policies, and governance structure of PPP process in order to overcome these shortfalls and help in accomplishing the goals of sustainability while developing infrastructure even through PPP route.

The paper presents different insights into PPP from sustainability perspective which has not been the focus of the current studies on PPPs. Sustainability assessment of PPP procurement is an area of research which is in a nascent stage.

Product development is recognized as cross‐functional teamwork that has become important in the fast‐paced, globally competitive environment. Despite an extant body of knowledge on the importance of fuzzy front‐end planning and functions of goals in the management literature, the impact of uncertain project environment and goal setting mechanisms in front‐end planning is not fully understood. Product development literature presents numerous case studies or conceptual papers that emphasize the importance of upfront planning and a need for team building; however, large‐scale empirical studies are rare. This paper presents a model linking uncertain project environment, project target clarity, teamwork and its outcome measures (i.e. a product's value to customer and time to market). The data were analyzed from 205 product development projects of firms from the USA and Canada. Valid and reliable instruments were developed to assess the nature and impact of inter‐relationships of these variables. Results from structural model tests indicate that uncertain project environment influences the nature of project targets which in turn affects the level of teamwork. Teamwork is an important process outcome for enhancing value to customer and time to market. Management implications are discussed as well.

The purpose of the paper is to find out the knowledge requirements and its effect on both onsite and offshore project work division for development, re-engineering and maintenance projects in Indian outsourcing software industry in different phases of software development.

This study employs an expert interview approach in Indian software industry to find out knowledge requirement for project execution and division of work between onsite and offshore locations. The requisite data were collected through expert interviews and direct observations.

The study found that the development projects require higher level of domain, strategic, business process and operation process knowledge in comparison to re-engineering and maintenance projects. So there is a need of higher onsite presence in development projects. The maintenance work is taken up at the offshore location in a phase-wise manner.

The implication of the study is in the development of a broad framework of knowledge requirements and work division in on-shore and offshore locations for Indian software outsourcing projects. As the study is based on expert opinion in the context of India, it cannot be generalized for outsourcing scenarios elsewhere.

The software project manager can use the findings to get more insight into the project and divide the software team between onsite and offshore location.

The study is novel, as there is little attempt at finding the knowledge requirement to execute various kinds of business software development in outsourcing environment in the context of India.

The purpose of this paper is to find good values of onsite-offshore team strength; number of hours of communication between business users and onsite team and between onsite and offshore team so as to reduce project cost and improve schedule in a global software development (GSD) environment for software development project.

This study employs system dynamics simulation approach to study software project characteristics in both co-located and distributed development environments. The authors consulted 14 experts from Indian software outsourcing industry during our model construction and validation.

The study results show that there is a drop in overall team productivity in outsourcing environment by considering the offshore options. But the project cost can be reduced by employing the offshore team for coding and testing work only with minimal training for imparting business knowledge. The research results show that there is a potential to save project cost by being flexible in project schedule.

The implication of the study is that the project management team should be careful not to keep high percentage of manpower at offshore location in distributed software environment. A large offshore team can increase project cost and schedule due to higher training overhead, lower productivity and higher error proneness. In GSD, the management effort should be to keep requirement analysis and design work at onsite location and involves the offshore team in coding and testing work.

The software project manager can use the model results to divide the software team between onsite and offshore location during various phases of software development in distributed environment.

The study is novel as there is little attempt at finding the team distribution between onsite and offshore location in GSD environment.

The purpose of this study is to develop a model for the selection of optimal development projects for an industrial complex (IC), aimed at improving its competitiveness.

Selection of optimal projects for IC development is carried out within the framework of a methodical approach to assessing and forecasting the competitiveness of IC based on the phased implementation of the following steps: assessment of the current level of competitiveness of an IC; optimization of the project portfolio aimed at improving the IC competitiveness; forecasting the IC competitiveness. The methodology for assessing the IC competitiveness is based on a comparative analysis of its activities against those of its leading competitors and evaluates two integral characteristics, namely, the level of current competitiveness and the indicator of the competitive potential. The methodical approach to the selection of the optimal portfolio of projects for the development of competitiveness is based on a step-by-step optimization of the portfolio using a dynamic programming procedure, which takes into account the implementation conditions of the projects, resource constraints and the prioritization of these projects. The targeted benchmark for the optimization is an integral indicator of IC competitiveness, comprising various aspects of its activities.

Method for multi-factor evaluation of IC competitiveness and the impact of a set of factors driving competitive advantage; set of benchmarks of IC competitiveness; the model for the selection and step-by-step optimization of the portfolio of IC development projects, aimed at increasing competitiveness in the context of resource constraints.

Methodology described in this paper was used to assess the competitiveness and optimize the project portfolio of Uralelektrotyazhmash Group of Enterprises (UETM), one of the largest power engineering complexes in Russia. The assessment was carried out in comparison with the leading domestic and global manufacturers of electrical equipment, which form UETM’s primary competition in the marketplace.

The study establishes a method for the comprehensive assessment of IC competitiveness based on the comparison of IC activity indicators with those of leading competitors. The proposed method defines an integral competitiveness index to allow for the quantitative assessment of IC competitiveness, development of measures to improve IC competitiveness and producing a methodology to forecast the impact of such measures; the study proposes a methodical approach to selecting the optimal portfolio of projects for the development of IC based on the stepwise optimization of such a portfolio while taking into account the conditions of their implementation, resource constraints and the impact on the indicator of competitiveness. This approach allows the IC to prioritize the implementation of the development projects and maximize its competitiveness in the context of available resources.

This paper aims to explore the expertise level required in various kinds of business knowledge such as regulatory, domain, strategic, operation process and, business process to execute globally distributed software projects for development, re-engineering and maintenance projects in the Indian outsourcing software industry.

This study adopted a questionnaire survey method to collect the expert responses for a knowledge management framework which is suggested in the literature for software development work. The questionnaire survey findings were verified by expert interviews.

The research shows that there is a lot of similarity between re-engineering and maintenance projects for different kinds of business knowledge expertise requirements for execution. The development projects require higher expertise in all the business knowledge for execution.

The research work studies the business knowledge required for the execution of development, re-engineering and maintenance projects in Indian outsourcing software projects. However, the project’s characteristics can vary drastically for a single kind of project. So the study cannot be generalized and instead should be used as a tool for learning.

The research findings can be used by software project managers to get insight into project planning, which can help the division of work between the onsite, offshore team and individual work allocation.

The research is novel as there are very few previous attempts to find the business expertise needed to execute various kinds of software projects in the Indian outsourcing industry.