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Previous studies on innovation tend to view innovation as consisting of a creative phase of novel and useful ideas, and a non-creative, or at least a less creative phase, as this considered to be the mere implementation and validation of the initially created ideas. In contrast, this paper aims to stress on the significance of the process of validating a new idea as being a creative, learning, exploratory process that shapes the degree of novelty of the innovation as a whole.

In driving this argument, this study deductively builds on a theoretical pre-understanding derived from extant literature related to management innovation and organizational legitimacy, and inductively draws on information gleaned from three in-depth case studies.

The study shows that the validation phase in the innovation process is a creative process, rather than just being a set of activities that relate to the mere execution of the created ideas. Viewing the validation process as an exploratory search for new knowledge, this study establishes a relationship between the form of knowledge mobilized, vertically within an organization or horizontally from outside, and the form of legitimation required. Validation based on internally generated knowledge is effective in terms of achieving pragmatic (efficiency-driven) objectives. Inter-organizational knowledge inflows are associated with cognitive legitimacy – a form of legitimacy that leads to changes in the stakeholders’ beliefs about a the product. In contradistinction, horizontal, socio–cultural inflows of knowledge are likely to improve on the product itself, thereby generating more traction for validation.

This research is based on data collected from three firms only.

The idea developed here can provide business organizations a better understanding of the validation process of management innovations. This study suggests that successful innovation often requires managers to be prepared to seek knowledge beyond the confines of their own organizations.

This study contributes in three ways: it submits that there is a dynamic interplay between the moments of creation and validation, which is largely shaped by the novelty of the mobilized knowledge, depending on whether it is internal top–down or external horizontal; relatedly, the effectiveness of validation is shaped by the novelty of the knowledge garnered to justify the initial ideas; and the present paper has extended Suchman’s (1995) framework by linking the effectiveness of the various forms of legitimacy to the source of knowledge mobilized in the validation process.

Mobile technologies are increasingly used as a data source to enable big data analytics that enable inventory control and logistics planning for omnichannel businesses. The purpose of this paper is to focus on the use of mobile technologies to facilitate customers’ shopping in physical retail stores and associated implementation challenges.

First, the authors introduce three emerging mobile shopping checkout processes in the retail store. Second, the authors suggest that new validation procedures (i.e. exit inspections) necessary for implementation of mobile-technology-enabled checkout processes may disrupt traditional retail service processes. The authors propose a construct labeled “tolerance for validation” defined as customer reactions to checkout procedures. The authors define and discuss five dimensions – tolerance for: unfair process; changes in validation process; inconvenience; mistrust; and privacy intrusion. The authors develop a measurement scale for the proposed construct and conduct a study among 239 customers.

The results show that customers have higher tolerance for validation under scenarios in which mobile technologies are used in the checkout processes, as compared to the traditional self-service scenario in which no mobile technology is used. In particular, the customers do not show a clear preference for specific mobile shopping scenarios.

These findings contribute to our understanding of a challenge that omnichannel businesses may face as they leverage data from digital technologies to enhance collaborative planning, forecasting, and replenishment processes. The proposed construct and measurement scales can be used in future work on omnichannel retailing.

This paper aims to compare the ways in which a range of quality frameworks have been validated and to identify a number of factors that have an impact on validation processes.

Seven examples of published quality frameworks applicable to the field of e‐learning are described and the methods used to validate each of the frameworks are identified and compared. The article concludes by considering a range of factors that have the potential to have an impact on such validation processes.

Six methods of validation were found to have been used in relation to development of the seven frameworks that were examined: reviewing the research literature related to effectiveness in online learning; seeking input from an expert panel; undertaking empirical research; undertaking survey research; conducting pilot projects; and drawing on case studies. From the variety of approaches used and the ways in which they were used it was concluded that a recognised set of procedures for validation of quality frameworks has not yet emerged.

The most important limitation of this study is that its findings are dependent on the particular quality frameworks selected for inclusion.

The paper draws attention to the need for more attention to be paid to the development of methods of validation that are both objective and robust.

No previous studies were located that have looked specifically at the processes used to validate quality frameworks. This paper therefore provides some initial baseline data upon which to base future work.

The purpose of this chapter is to explore whether and how angel investors’ emotions unfold in the investment opportunity evaluation process as they interact with the social environment. Complementing recent research that has emphasized the financial calculations, we add angel investors’ own emotional arousal to the list of tools that may help them to rate investment opportunities.

Drawing on semi-structured qualitative interviews, we develop a phenomenological analysis of the investment opportunity evaluation process at the level of angel investors’ lived experience.

Our findings indicate that when angel investors use their emotional arousal in evaluating investment criteria, they engage in a developmental process characterized by three elements: subjective validation, social validation, and investment decision.

We illuminate how discrete emotions can complement rational considerations in the opportunity evaluation journey. Capturing the nature of emotion as action oriented, embodied, socially situated, and distributed, we embrace its adaptive socially situated dynamics.

Taking a step toward better understanding of the soft aspects in the relationship development that leads to investments, we hope this study will help not only those entrepreneurs who need funding but also those policymakers who design new incentives that improve the flow of investment into promising new ventures.

We demonstrate how angel investors’ emotions can complement their rational considerations in the investment opportunity evaluation process as they interact with the social environment. Identifying boundary values for the conditions that are necessary and sufficient to advance in the process, we have demonstrated how emotion can serve as a driving or restraining force not only during subjective validation but also during social validation.

The main purpose of this paper was to evaluate the validation process of food safety control measures.

The validation of control measures has been analyzed at 50 food companies in Serbia. The sample included companies that produce food of both plant and animal origin and have certified food safety management systems. A total of 156 control measures that combat physical hazards (41.6%), followed by microbial hazards (34.0%) and chemical hazards (24.4%), have been analyzed. To enable quantification of the validation protocols, each control measure was assigned a score.

The validation scores showed that the highest level of validation was observed in large companies, as opposed to small and medium-sized companies (p < 0.05). The type of food safety hazards and the food sector did not reveal any statistical differences in-between the scores. The main approach to validating control measures was referring to the technical documentation of equipment used (52.6%), followed by scientific and legal requirements (30.7%). Less than 20% of the analyzed control measures were validated with operational data collected on-site. No mathematical modeling was observed for the sampled food companies. Future steps should include the development of validation guides for different types of control measures and training modules.

This study can serve as an improvement guide for food safety consultants, food safety auditors, certification bodies, inspection services, food technologists and food managers.

This study is one of the first to provide an insight into how food companies validate their control measures to combat microbial, chemical and physical food safety hazards.

Recent research suggests that the interest in process-based single-case studies is increasing in business-to-business (B2B) marketing. This paper aims to discuss research validity issues and dilemmas encountered by process-based single-case researchers in B2B marketing.

This is a methodology paper that builds on an integration of experiences, ideas and literature.

In the paper, three dilemmas are suggested that researchers need to deal with in process-based single-case research. These relate to the casing process: crafting the case, communicating the case and describing the process of the study. Furthermore, process validation is suggested as a research quality concept concerned with how these dilemmas are handled.

Based on the notion of process validation, the authors provide suggestions for how casing, as a process-based single-case approach, can be conveyed and advanced in its own right.

This study can be used to convey insights that can help new and experienced researchers in conducting single-case studies in B2B.

Coping with issues of research quality in B2B marketing is of relevance to researchers dealing with process-based single-case research and process validation issues, as well as to journal reviewers evaluating the qualities of process-based single-case research.

The purpose of this paper is to propose a metadata‐driven approach and the associated technologies to deal with ever‐rising web security issue. The approach applies metadata techniques to envision semantic validation for new types of vulnerability.

Token decomposition design was applied to move analysis work into abstract level. This novel approach can solve the issues by using a dual control method to perform vulnerability validation.

Current analysis has been lack in metadata foundation, the vulnerability is invisible due to semantic obfuscation. This paper reflects the limitation of existing methods. It applies metadata‐driven approach to move physical and syntax analysis into semantic validation.

Currently, certain difficulties may be encountered in preparing benchmarking for dual control process before completing development work. However, this paper tries to create scenarios which can be a reference, to evaluate the semantic validation.

In consideration of the optimized control and vulnerability rate, Structural Query Language (SQL) injection is taken as an example in demonstration. This approach targets large enterprise and high complexity, and the research intends to impact industry to generate common practices such as metadata standards and development tools.

This paper contributes originality in applying metadata strategy to envision semantic structure. It further favours the service industry in building up portfolio foundation in component‐based technologies. As the new type of vulnerability can be precisely specified, it can minimize business impact and achieve efficient vulnerability detection.

The paper introduces a new conceptualisation of entrepreneurship that promotes a broader perspective of the phenomenon. The purpose of the paper is to re-conceptualise the act of entrepreneurship so as to reduce it to the fundamental behaviours and processes.

The paper sets out the motivations for and challenges in establishing a broader definition of entrepreneurship. Following this, current approaches to defining entrepreneurship are reviewed. In light of these, a definition of entrepreneurship is offered that captures a new perspective in understanding entrepreneurship. A critique of the offered definition is offered with regards to promoting theory development, empirical research, quality predictions and a distinctive research domain.

The authors argue that a definition of entrepreneurship that is focussed on the development and validation of ideas provides a thought-provoking re-conceptualisation of entrepreneurship. Extant perspectives on entrepreneurship as business/organisation creation, uncertainty, innovation, value creation and opportunity recognition/creation are drawn on to demonstrate the applicability of the definition.

The pursuit for an encompassing definition of entrepreneurship has been both extensive and earnest, which has inadvertently resulted in a sizable pool of definitions. The authors offer a re-conceptualisation of entrepreneurship with the intent to provide a broad yet coherent definition that encompasses all acts of entrepreneurship. A benefit of this conceptualisation is the establishment of the endpoint of the entrepreneurship process that delineates it from the domain of management.

This chapter enters an old debate on the shape of validation processes in qualitative research. We discuss a reflective research validation framework related to teaching approaches and practices. The majority of investigations in this area draw mainly on indirect observation, semi-structured interviews or the application of questionnaires and inventories. To this extent, only “half-the-story” has been reported. The validation framework here develops a five-part three stage structure, conceptualized as an “iterative-interactive-process,” integrating a set of strategies aimed at the “minimization of invalidity.” The application of the framework is illustrated through a longitudinal study investigating the relationship between classroom questioning practices and teachers’ preferential teaching approaches. Fieldwork in this naturalistic-interpretative research was conducted during four academic years and entailed close collaboration with a group of four university teachers lecturing biology to undergraduates.

This study aimed to discuss issues related to the process for validating a performance management system for design (PMSD) in three product development companies.

The use of multifunctional groups becomes important because it favors viewing the organization as a whole, thereby reducing existing gaps between segments of the company. To support this study, focus group research was used.

Viewing design as a resource that contributes to increased competitiveness offers companies benefits, such as improved performance measurement. This measurement is based on indicators and, to be useful, an indicator system should stimulate the company's interest. In addition, the present study made it possible to conclude that the validation process is essential in preimplementation stages because validation allows the PMSD to be adapted to bring it closer to the reality of companies, thus increasing the chances of success during the implementation stage.

Validation of the metrics from the perspective of senior management enabled critical analyses of the applicability of the PMSD, as well as its suitability and approximation to the reality of businesses, by selecting the most relevant data.