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As good as existing measurements of entrepreneurial potential (EP) may appear in the literature, they are fragmented, suffer from the lack of theory integration and clarity, are inadequately specified and assessed and the dimensions are unordered by importance. These limitations of EP metrics have hindered entrepreneurial practice and theory advancement. There is a risk of atomistic evolution of the topic among “siloed” scholars and room for repetitions without real progress. The purpose of this paper was to take stock of existing measurements from which the authors developed a new instrument that is brief and inclusive.

The authors followed several steps to develop and validate the new instrument, including construct domain name specification, literature review, structured interviews with entrepreneurs, face validation by experts, semantic validation and statistical validation after two waves of data collected on employee and entrepreneur samples.

A clear operational definition of EP is proposed and serves as a starting point towards a unified EP theory. The new EP instrument is made up of 34 items classified into seven dimensions, which in order of importance are proactive innovativeness, management skill, calculated risk-taking, social skill, financial literacy, entrepreneurial competencies prone to cognitive and heuristic biases and bricolage. The authors provide evidence for reliability and validity of the new instrument.

Although a model is not the model, the authors discuss several ways in which the new measurement model can be used by different stakeholders to promote entrepreneurship.

The authors discuss the domain representativeness of the new scale and argue that the literature can meaningfully benefit from a non-fuzzy approach to what makes the EP of an individual. By developing a new EP instrument, the authors set an important pre-condition for advancing entrepreneurial theory and practice.

Product innovation is central to the success of most companies. The rewards of a successful innovation programme are highly visible in terms of sales, profits and growth. But not so apparent are the strategies that underlie these product innovation efforts. This monograph is about the ingredients of a winning new product strategy — about strategic decisions on markets, technologies, products — that result in a successful innovation programme.

Entrepreneurial orientation (EO) is an exploratory orientation because its dimensions such as innovativeness, proactiveness and risk-taking are the essence of exploration that entails uncertain returns. While literature suggests firms might need to counterbalance and complement EO with another orientation for organisational success, research on this area remains limited. Drawing on organisational learning theory, the purpose of this article is to explore whether and how the EO dimensions and organisational ambidexterity complement each other to enhance new product performance. More specifically, the authors explore the configurations of innovativeness, proactiveness, risk-taking and ambidexterity for superior new product performance under different levels of market turbulence.

Based on a configurational perspective, the authors applied fuzzy set qualitative comparative analysis (fsQCA) on a sample of 88 small and medium-sized firms from the UK. Using fsQCA allows the authors to uncover the potential complementary role between the EO dimensions and ambidexterity for superior new product performance.

The results of this paper reveal three configurations that are sufficient to produce superior new product performance. The results suggest that the EO dimensions and ambidexterity can complement each other to enhance new product performance. Further, under the turbulent market environment, the EO dimensions are also sufficient to produce superior new product performance.

By adopting a configurational perspective using fsQCA, the study provides a more holistic understanding of how the EO dimensions work together to influence new product performance. It also contributes to the literature by uncovering the complementary role of the EO dimensions and ambidexterity in shaping new product performance.

Entrepreneurial orientation (EO) has emerged as a core concept in the field of entrepreneurship. Yet, there continue to be questions about the nature of EO and how best to conceptualize and measure it. This chapter makes the case that EO has grown beyond its roots as a firm-level unidimensional strategy construct and that a new multidimensional version of EO is needed to capture the diverse manifestations and venues for entrepreneurial activity that are now evident around the world – global entrepreneurial orientation (GEO). Building on the five-dimension multidimensional view of EO set forth when Lumpkin and Dess (1996) extended the work of Miller (1983) and Covin and Slevin (1989, 1991), the chapter offers an updated definition of EO and a fresh interpretation of why EO matters theoretically. Despite earnest efforts to reconcile the different approaches to EO, in order to move the study of EO and the theoretical conversation about it forward, we maintain that as a group of scholars and a field, we need to acknowledge that two different versions of EO have emerged. Given that, we consider original approaches to measuring EO, evaluate formative measurement models, consider multiple levels of analysis, call for renewed attention to EO configurations, and discuss whether there is a theory of EO.

This research contributes to the development of the theory of intrapreneurship by clarifying the intrapreneurship concept. Intrapreneurship is more precisely defined by referring to emergent behavioral intentions and behaviors that are related to departures from the customary ways of doing business in existing organizations. The intrapreneurship concept is positioned in the management literature, is contrasted with other similar management concepts and developed as an integrative concept composed of eight distinct, yet related dimensions.

The purpose of this paper is to contribute to a better understanding and measure of the concept of spirituality at work (SW) by adding a new dimension to traditional conceptualizations labeled emotional balance and inner peace (EBIP). While the traditional literature refers to the fulfillment of workers’ spiritual needs, the authors propose a new approach based on Maslow’s ideas that consider the impact of individual spirituality on the attitudes/feelings of workers in the workplace.

The methodological design is quantitative and includes item generation. Exploratory and confirmatory factor analyses were used to assess construct validity and 273 valid questionnaires were collected. The authors developed the EBIP dimension with six items based on previous studies, and the new second-order variable was compared with the traditional measurement using confirmatory factor analysis, based on AMOS 21.

The hypothesis test supports the positive impact of SW on individual productivity, valid for both models, but with an additional explanation capacity when the authors add the EBIP.

This paper offers a new conceptualization for SW, based on Maslow’s ideas, who played a key role in the humanistic resource movement. This new dimension may be an important finding for scholars and practitioners since organizations have to take care of both the mind and spirit of their employees to establish a genuine balance between the meaning of their lives and their work.

This paper aims to elaborate a set of characteristics that conceptualize and qualify a disruptive business model.

The literature on disruptive business models will be analyzed using the latent semantic analysis (LSA) technique, complemented by content analysis, to obtain a more precise qualification and conceptualization regarding disruptive business models.

The results found described concepts already described in the theory. However, such findings, highlighted by the LSA, bring new perspectives to the analysis of the disruptive business models, little discussed in the literature and which reveal important considerations to be made on this subject.

It should be noted, about the technique used, a limitation on the choice of the number of singular values. For this to be a problem in the open literature, the authors tried to work not just with the cost-benefit ratio given the addition of each new dimension in the analysis, as well as a criterion of saturation of the terms presented.

The presentation of this set of characteristics can be used as a validation tool to identify if a business is or is not a disruptive business model by managers.

The originality of this paper is the achievement of a consolidated set of characteristics that conceptualize and qualify the disruptive business models by conducting an in-depth analysis of the literature on disruptive business models through the LSA technique, considering the difficulty of obtaining precise concepts on this subject in the literature.

The purpose of this research is to provide a framework in which new data quality dimensions are defined. The new dimensions provide new metrics for the assessment of lecture video indexing. As lecture video indexing involves various steps, the proposed framework containing new dimensions, introduces new integrated approach for evaluating an indexing method or algorithm from the beginning to the end.

The emphasis in this study is on the fifth step of design science research methodology (DSRM), known as evaluation. That is, the methods that are developed in the field of lecture video indexing as an artifact, should be evaluated from different aspects. In this research, nine dimensions of data quality including accuracy, value-added, relevancy, completeness, appropriate amount of data, concise, consistency, interpretability and accessibility have been redefined based on previous studies and nominal group technique (NGT).

The proposed dimensions are implemented as new metrics to evaluate a newly developed lecture video indexing algorithm, LVTIA and numerical values have been obtained based on the proposed definitions for each dimension. In addition, the new dimensions are compared with each other in terms of various aspects. The comparison shows that each dimension that is used for assessing lecture video indexing, is able to reflect a different weakness or strength of an indexing method or algorithm.

Despite development of different methods for indexing lecture videos, the issue of data quality and its various dimensions have not been studied. Since data with low quality can affect the process of scientific lecture video indexing, the issue of data quality in this process requires special attention.