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The phenomenon of creativity spans research topics across Marketing and Consumer Behavior. Interest in, and research on, creativity has grown over the past several decades. With this heightened attention comes the question of how best to conceptualize and measure creativity. This question is addressed by reviewing the conceptualizations and measures used in the psychological study of creativity. From this review, we build a framework by which to analyze papers from the Journal of Consumer Research and the Journal of Marketing Research. Based upon this analysis, we provide recommendations and best practices for future research. Of particular importance, we recommend the use of convergent problem-solving tasks in combination with ratings of novelty and usefulness reported separately. Such measures allow one to distinguish between instances of effective-creativity (when an idea is both novel and useful) and instances of quasi-creativity (when an idea is novel but lacks usefulness). The importance of the framework to research and analysis beyond the experimental paradigm is discussed.

This research used the somewhat new methodology of convergent interviews to develop a conceptual framework about relationship constructs in an Internet environment. More generally, this article describes and illustrates the processes and the strengths of convergent interviewing to investigate under‐researched areas, and compares it with alternative qualitative techniques like in‐depth interviews, case research and focus groups. The illustration involves interviews conducted with marketing managers and business consultants from ten service companies, about Internet and relationship marketing. It is argued that convergent interviewing is more appropriate than some other qualitative methods to investigate under‐researched areas where there are few experts because it provides a way of quickly converging on key issues in the area, an efficient mechanism for data analysis after each interview, and a way of deciding when to stop collecting data. Convergent interviews could become another useful qualitative research method to explore new issues about emerging marketing phenomena.

This paper aims to widen knowledge of and explore how convergent interviewing can be used to identify key issues within an organization.

This paper introduces the convergent interviewing technique and describes the method of selecting the interview subjects. The construction of a round of interviews is explained. The content of the interviews is described and the particular probing nature of the questions demanded by the convergent interview process is explained. The ways to analyze the full set of interviews for groupings or categories is also described. The case study example of a broad research question about influences on work behaviors in a local government council is used to illustrate the convergent interviewing technique.

The key issues revealed by using the technique can be subsequently used for a variety of research and consulting purposes and settings. Convergent interviewing is an effective research method, which conserves resources.

Convergent interviewing enables researchers to determine the most important and/or key issues within a population rather than a full list of issues in an organization or barriers to change in a particular organizational context.

By integrating the structural contingency and the organizational adaptation theories, this study analyzes the impact of the main variables of organizational structure on convergent change. The authors also examine whether some contingency variables, such as the firm's size, age and sector, may help to explain differences in the relationship between organizational structure and convergent change.

This work was carried out through an explanatory and cross-sectional study. The hypotheses were tested through a multiple regression analysis.

This paper demonstrates that, in Bogota's SMEs, modifications in differentiation and formalization explain convergent change, and that centralization does not affect it. Furthermore, the authors find that the company's size explains these relationships, and that age and sector do not influence them.

The authors provide useful information in this work to guide managers and professionals on the implications of organizational structure and convergent change, more specifically on decisions regarding hierarchical arrangement, job division and processes redefinition.

This work provides empirical evidence with original data for a better understanding of the reality of Colombian SMEs in the Latin American context.

Research serves to elucidate and tackle real-world issues (e.g. capitalizing opportunities and solving problems). Critical to research is the concept of validity, which gauges the extent to which research is adequate and appropriate in representing what it intends to measure and test. In this vein, this article aims to present a typology of validity to aid researchers in this endeavor.

Employing a synthesis approach informed by the 3Es of expertise, experience, and exposure, this article maintains a sharp focus on delineating the concept of validity and presenting its typology.

This article emphasizes the importance of validity and explains how and when different types of validity can be established. First and foremost, content validity and face validity are prerequisites assessed before data collection, whereas convergent validity and discriminant validity come into play during the evaluation of the measurement model post-data collection, while nomological validity and predictive validity are crucial in the evaluation of the structural model following the evaluation of the measurement model. Additionally, content, face, convergent and discriminant validity contribute to construct validity as they pertain to concept(s), while nomological and predictive validity contribute to criterion validity as they relate to relationship(s). Last but not least, content and face validity are established by humans, thereby contributing to the assessment of substantive significance, whereas convergent, discriminant, nomological and predictive validity are established by statistics, thereby contributing to the assessment of statistical significance.

This article contributes to a deeper understanding of validity’s multifaceted nature in research, providing a practical guide for its application across various research stages.

The purpose of this paper is to investigate how fund managers in a non-Western country like Malaysia follow investment processes developed in the West and taught in the finance departments of universities.

This convergent interview research investigates how fund managers in Malaysia actually make their decisions, and develops a framework about their investment process.

Understanding the economy was important for the managers but was an ongoing learning process. Their analyses sometimes started bottom-up or top-down, but all followed a four-layer process. The managers did not believe the investment process could be quantified.

Convergent interviewing is meant to be a first step in a complete research program. So, future researchers could consider extending the research to different periods, different research settings in other countries like Singapore, India or Indonesia, different types of investors and different methodologies like surveys.

Practitioners should build on their experience, and understand principles of behavioral finance. Students in business schools should be taught in an experiential way, and school staff should use qualitative methods like convergent interviewing in their research projects.

Contributions centre on the article’s behavioural finance findings that experience and non-quantitative methods are the core of Malaysian investment managers’ decision-making, and on its detailed description of the unusual research methodology in finance of convergent interviewing.

Organizational trust is an important construct for organizational and public relations scholars and practitioners for its influence on key organizational outcomes, yet the convergent validity of organizational trust instruments has not been investigated by any study. The purpose of this paper is to address an important gap in the literature by reporting the results of a systematic investigation of the convergent validity of three organizational trust measures, taking an interpersonal, public relations, and organizational approach to trust in organizations respectively.

IRB approval was obtained for a cross‐sectional study design gathering self‐reports from participants through an online data gathering system of a large Midwestern university in the USA. Correlational matrices, along with exploratory and confirmatory factor analyses adapting the multitrait‐multimethod matrix, were employed for data analysis.

The three trust measures demonstrate mixed evidence of convergent validity with each other and with a theoretically correlated construct, organizational identification, demonstrating that while the three measures share the same conceptual ground, there is a need to clarify their underlying theoretical specification, especially with respect to organizational identification.

Future large‐scale studies can extend the findings based on a student population by employing multiple and diverse data sets, as well as investigate method variance.

Recommendations to improve convergent validity include: increasing item parsimony to decrease redundancy; revise item construction; and improved theoretical specification investigating the conceptual boundaries organizational identification with trust.

The study provides empirical evidence of the need for greater conceptual and operational clarification of the theoretical bases of trust. It is the first to advance research on trust in organizations by providing empirical support for the convergent validity of organizational trust measures assessed from organizational, interpersonal, and public relations perspectives.

This paper aims to increase corporate social responsibility (CSR), including business acting in an ethical and transparent way, through the prism of strategic conversation with applying the author’s convergent methodology that ensures the integrity, purposefulness and sustainability of development of corporations in the external environment.

The methodology is based on the integration of following approaches and methods: international CSR standards, strategic planning, networked virtual collaboration, group cognitive (conceptual) modelling, inverse problem-solving in topological spaces, categories theory, control thermodynamics, big data analysis for cognitive models verification and quantum semantic approach.

The convergent methodology helps to visualize the strategic situation in a corporation and gives more chances to get a clear feeling for every employee that his or her social responsibility helps to achieve not only his or her own goals but the goals of the company. This approach helps to accelerate the raising of the level of CSR.

The strategic situation for raising the level of CSR has to be represented during strategic conversations. The strategic process should cover all the employees of the corporation. Groups can be hierarchically organized. The number of participants of one group can be about 35, and the duration of one conversation is up to 5 hours.

The convergent methodology was applied many times for creating a high-level CSR atmosphere by the collective building of companies’ strategies.

The convergent approach provides proactive identification of adverse effects of the external environment on the level of CSR and prevention of such impacts. The approach also provides acceleration of corporate strategic planning, processes of network democracy and group decision-making processes.

The main developing problem, which is beyond the state of the art, is that the CSR situation cannot be described in a clear, logical and formalised way, and a traditional computer model cannot be created for this case with formalised approach. The proposed convergent methodology with cognitive modelling helps to do it.

The purpose of this paper is to focus on the performance of three typical nonlinear least-squares estimation algorithms in atmospheric density model calibration.

The error of Jacchia-Roberts atmospheric density model is expressed as an objective function about temperature parameters. The estimation of parameter corrections is a typical nonlinear least-squares problem. Three algorithms for nonlinear least-squares problems, Gauss–Newton (G-N), damped Gauss–Newton (damped G-N) and Levenberg–Marquardt (L-M) algorithms, are adopted to estimate temperature parameter corrections of Jacchia-Roberts for model calibration.

The results show that G-N algorithm is not convergent at some sampling points. The main reason is the nonlinear relationship between Jacchia-Roberts and its temperature parameters. Damped G-N and L-M algorithms are both convergent at all sampling points. G-N, damped G-N and L-M algorithms reduce the root mean square error of Jacchia-Roberts from 20.4% to 9.3%, 9.4% and 9.4%, respectively. The average iterations of G-N, damped G-N and L-M algorithms are 3.0, 2.8 and 2.9, respectively.

This study is expected to provide a guidance for the selection of nonlinear least-squares estimation methods in atmospheric density model calibration.

The study analyses the performance of three typical nonlinear least-squares estimation methods in the calibration of atmospheric density model. The non-convergent phenomenon of G-N algorithm is discovered and explained. Damped G-N and L-M algorithms are more suitable for the nonlinear least-squares problems in model calibration than G-N algorithm and the first two algorithms have slightly fewer iterations.

The purpose of this paper is to provide new elements to understand, measure and predict managerial creativity. More specifically, based on new approaches to creative potential (Lubart et al., 2011), this study proposes to distinguish two aspects of managerial creative problem solving: divergent-exploratory thinking, in which managers try to generate several new solutions to a problem; and convergent-integrative thinking, in which managers select and elaborate one creative solution.

In this study, personality is examined as a predictor of managerial creative problem solving: On one hand, based on previous research on general divergent thinking (e.g. Ma, 2009), it is hypothesized that managerial divergent thinking is predicted by high openness to experience and low agreeableness. On the other hand, because efficient people management involves generating satisfying and trustful social interactions, it is hypothesized that convergent-integrative thinking ability is predicted by high agreeableness. In all, 137 adult participants completed two divergent-exploratory thinking managerial tasks and two convergent-integrative thinking managerial task and the Big Five Inventory (John and Srivastava, 1999).

As expected, divergent-exploratory thinking was predicted by openness to experience (r=0.21; p<0.05) and agreeableness (r=−0.22; p<0.05) and the convergent-integrative thinking part of managerial creative problem solving was predicted by agreeableness (r=0.28; p<0.001).

Contrary to most research on managerial creativity (e.g. Scratchley and Hakstian, 2001), the study focuses (and provides measure guidelines) on both divergent and convergent thinking dimensions of creative potential. This study replicates and extends previous results regarding the link between personality (especially agreeableness) and managerial creativity.