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Product verification and validation are integral to quality management. Product verification means verifying the conformity between a product’s actual and planned characteristics whereas validation means determining whether and to what extent it satisfies customers’ requirements. One of the key forms of product validation is testing with a group of customers. The purpose of this paper is to introduce a graphical method of product validation based on the Kano model.

The approach is based on a proposed method for categorising requirements based on a Kano questionnaire and then applies this method for the validation of a product – a website. The proposed method is based on three steps: graphical determination of requirements in a Kano model; determination of requirement fulfilment degree and prioritisation of corrective measures and improvements.

The study opens space for discussion of the potential for improving a product and methods for identifying critical faults in products. The proposed method also permits an assessment of the potential effectiveness of an improvement because it is able to quantify the effect of the product on the consumer resulting from a given quantity of effort. A case study demonstrated that the resulting priority of corrective measures and improvements was affected not only by the level of fulfilment of the requirements but also by the type, the most critical being non-fulfilment of must-be requirements.

The requirement curves are based on a verbal assessment of satisfaction in two states – if the requirement were fulfilled and if it were not fulfilled. The values of the start and end points may not be precise and could be affected by the natural character of subjective variables.

The proposed method is particularly suited to the initial testing of a product that is intended to lead to measures to eliminate customer dissatisfaction or increase their satisfaction – that is, to improve the product. The method also permits an assessment of the extent to which customers feel that their expectations have been satisfied and the effect that will be felt if the organisation decides to increase fulfilment.

The Kano model has not yet been applied to product validation, although it contains all the information necessary for this task. Knowing how satisfied customers are is an important part of product validation. At the same time, knowing a mechanism for “creating” this satisfaction is also very valuable information.

This case study examines the new product development (NPD) process of digital information products (DIPs) and its critical success factors (CSFs) in a small-sized German enterprise.

A case study was conducted with a small firm focused on the development of DIPs; data were obtained through semi-structured interviews, direct observation and document analysis.

The firm uses an informal and cross-functional NPD process (idea generation, idea validation, product creation and product launch) in converting an idea into a sellable product. Peculiar aspects of each stage within the process as well as ten CSFs to NPD projects were verified.

Limitations are attributed to its qualitative nature, which does not allow generalizations, though careful attention was given to validity and reliability issues through the use of data source triangulation.

The paper provides a conceptual process that may benefit further initiatives for developing and launching DIPs, as well as a comprehensive list of CSFs for such projects.

This paper is the first one to schematize the NPD process and practices for DIPs, as well as key capabilities. It contributes to the NPD literature in discussing dynamic aspects that are typical to the firm analyzed and to others operating in a digital context. At the same time, it reinforces other traditional aspects that have become overlooked in digital business debates.

This research aims to aid product development managers to estimate the expected cost associated with the development of cost-intensive physical prototypes considering transitions associated with pertinent states of quality of the prototype and corresponding decision policies under the Markovian setting.

The authors evolve two types of optimization-based mathematical models under both deterministic and randomized policies. Under the deterministic policy, the product development managers take certain decisions such as “Do nothing,” “Overhaul,” or “Replace” corresponding to different quality states of prototype such as “Good as new,” “Functional with minor deterioration,” “Functional with major deterioration” and “Non-functional.” Under the randomized policy, the product development managers ascertain the probability distribution associated with these decisions corresponding to various states of quality. In both types of mathematical models, i.e. related to deterministic and randomized settings, minimization of the expected cost of the prototype remains the objective function.

Employing an illustrative case of the operator cabin from the construction equipment domain, the authors ascertain that randomized policy provides us with better decision interventions such that the expected cost of the prototype remains lower than that associated with the deterministic policy. The authors also ascertain the steady-state probabilities associated with a prototype remaining in a particular quality state. These findings have implications for product development budget, time to market, product quality, etc.

The authors’ work contributes toward the development of optimization-driven mathematical models that can encapsulate the nuances related to the uncertainty of transition of quality states of a prototype, decision policies at each quality state of the prototype while considering such facets for all constituent subsystems of the prototype. As opposed to a typical prescriptive study, their study captures the inherent uncertainties associated with states of quality in the context of prototype testing, etc.

This paper aims to investigate the effect of business incubation metrics based on an adaptation of the lean start-up (LS) framework on start-up survival after incubation. This study also analyzes the obstacles in implementing the LS framework as incubation metrics.

This study uses mixed methods. Quantitative research using multiple linear regression was applied to the data of 30 start-ups incubated at Bandung Techno Park for the 2014–2017 period and survival tracking data after the incubation. A qualitative approach to complete the explanatory work was conducted through in-depth interviews with 12 respondents, including start-up graduates from the incubation program, program managers and mentors.

This study confirms that several LS incubation metrics significantly affect start-up sustainability after incubation. In addition, this study also explains several problems in applying the LS discipline that needs attention to increase incubation success.

Research was conducted only at one technology business incubator (TBI) model that focuses on digital start-ups in the emerging ecosystem. Research results can be biased in different situations and ecosystems.

The explanation of the relationship of LS-based incubation metrics to the survival of start-ups, as well as the challenges of their implementation, can be a reference for TBI management to consider and prioritize intervention strategies, thereby improving TBI’s business processes and increasing the success rate of incubated start-ups.

The creation of university start-ups and spin-offs has become a key performance indicator mandatory for technology universities in Indonesia. The existence of TBI institutions in universities as channels of technology commercialization is essential. The incubator’s success in creating a new technology-based company will have a significant social impact on the surrounding environment.

Although the LS method is popular in start-up communities and among practitioners, it is rarely used in the incubation process at universities. These results can be considered for university TBIs to explore LS as an incubation management tool to increase the success rate of incubated start-ups.

Know your customer (KYC), accounting standards, issuance, clearing, and trade settlement became the major barrier to implement accounting, accountability and assurance process in supply chain finance (SCF). Blockchain technology features have the potential to solve accounting problems. This research focuses on exploring how blockchain technology provides solutions to overcome the barriers of accounting process in SCF. The benefits, opportunities, costs and risks related to blockchain adoption are also explored.

Multi-case study and qualitative methods are used with a framework based on blockchain role to overcome the accounting process barriers. Ten blockchain projects in SCF and 29 interviews of participants as a unit of analysis are considered.

The findings indicate that blockchain technology offers solutions to solve accounting, accountability and assurance problems in SCF. Validity, verification, smart contracts, automation and enduring data on trade transactions potentially solve those barriers. However, it is also necessary to consider costs such as implementation, technology, education and integration costs. Then there are possible risks such as regulatory compliance, operational, code development and scalability risk. This finding reflects the current status of blockchain technology roles in SCF.

This study unveils blockchain's SCF accounting potential, emphasizing multi-case method limitations and future research prospects. Diverse contexts challenge findings' applicability, warranting cross-industry studies for deeper insights. Addressing selection bias and integrating quantitative measures can enhance understanding of blockchain's accounting impact.

Accounting professionals can get an idea of the future direction and impact of blockchain technology on accounting, accountability and assurance processes.

This study provides initial findings on the potential, costs and risks of blockchain that is beneficial for parties involved in SCF, especially for banks and insurance underwriters. In addition, the findings also provide direction for the contribution of blockchain technology to accounting theory in the future.

Customer value is the key to successful innovation management. This task is considered complex and abstract. For this reason, several models have been proposed to that end, among them, Lean approaches. Lean's background has been applied to value identification, providing many benefits. This paper aims at analyzing the practices employed to identify customer value through Lean approaches.

Through a systematic literature review, the main Lean practices for customer value identification were categorized based on five main streams: (1) customer development, (2) customer value, (3) lean product, (4) lean start-up, and (5) lean innovation. These practices were organized into a framework that addresses value identification based on ideation, value prospection, requirements, construction and measurement, and value delivery.

In total, 33 practices were found to support capturing the value from the customer's perception. Additionally, a discussion is provided on the complementarity and differences between practices.

A framework is proposed to integrate the five streams and the corresponding practices for value identification. The results provide mechanisms that can benefit practitioners to better understand the value demanded by customers during innovation management. In fact, practitioners can use the proposed framework to identify value to customers in a holistic way. Academically, the results gather research on customer value and innovation management to contribute with a novel artifact for customer value identification in operations management using Lean approaches. Finally, a future research agenda on value identification is proposed.

This study aims to focus on creating sales capability as part of new product development (NPD). The aim is to define generic requirements for building sales capability as a part of NPD and to propose a necessary process by defining key activities for sales readiness.

An inductive and qualitative research method was used to construct a sales capability creation process based on a current state analysis in seven companies.

The results indicate that the status of companies’ sales-related planning varies during the NPD, and the related activities are not systematically managed. Considering sales early is necessary to enable a smooth and cost-efficient start of sales, and to avoid unnecessary delays and problems in other functions. At the same time, the companies recognise the need for improvement.

This paper presents a potential process including systematic activities for creating sales capability in conjunction with product development, which is novel to the literature. The proposed process is applicable in aligning industrial company needs.

Every company wants to launch the “right” products in the market quickly and retain loyal customers for a long time. So why is this so difficult for most companies? Often, product launch failures are due to such fixable factors as: poor understanding of user needs; lack of competitive analysis; lack of understanding of regulatory or channel issues; lack of up‐front planning; and poor cross‐functional communication.

The purpose of this paper is to provide an overview of a pragmatic approach to components off‐the‐shelf (COTS)‐based development. Software product line (SPL) is at the forefront among the techniques for reducing costs, decreasing schedule time, and ensuring commonality of features across a family of products – as COTS are reused in multiple products.

A disciplined process for SPL development is still needed. This paper proposes the Y‐model for COTS‐based SPL development. The model put forward identifies and elaborates the essential phases and activities of SPL development from COTS‐based repository.

The Y‐model provides an efficient way of integrating the approaches of SPL and COTS‐based development as a cohesive software development model.

The model has the potential to tremendously increase software engineers' productivity. Thus, software architects, domain engineers and component designers should become aware of how to use these ideas to structure their models and designs.

This paper describes a systematic approach for COTS‐based development that takes into account the cataloguing and retrieval of software assets permeating a process that encompasses all stages of software development, from system product requirements engineering to system deployment.

This study aims to analyse value co-creation in innovative firms within innovation environments (IEs) in the south region of Brazil from a processual and dynamic perspective, including its antecedents, initiatives and its outcomes in the multiple facets of the firms’ performance.

A qualitative and quantitative multi-method study was carried out with the management and support teams of these IEs, as well as with a sample of 91 companies installed.

The results helped clarify the value co-creation process in IEs of an emerging economy, suggesting under which conditions and how value co-creation practices are performed and its significant role in specific performance dimensions of companies.

The study contributes to companies and IEs within emerging economies to prioritize practices related to the co-creation of value to enhance their results.

In emerging countries, IEs struggle to apply their scarce resources to the development of hosted firms. Having value co-creation as a concept that presupposes the involvement of the beneficiary and other actors to improve the companies’ value proposition, its practice may constitute a valuable ally in this effort. However, the dynamics of value co-creation in such environments, its antecedents and specific outcomes are still unclear.