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Although there are many studies investigating attributes affecting productivity, the research into measurement of those attributes has been incomplete. In an attempt to bridge this gap, the authors reviewed the productivity literature, identified and integrated previously described attributes, and developed a measure to estimate those attributes. The developed questionnaire – questionnaire on productivity attributes (QPA) – is based on a five-dimensional conceptual framework, which consisted of human resource management, management strategy, organizational culture, production methodology, and performance. A model that measures a way to construct a linear scale from ordinal data has also been introduced. The paper aims to discuss these issues.

Initially, a pilot survey among Indian academic and industrial experts as well as employees working in manufacturing industries was conducted to optimize clarity, readability, and construction of the QPA. After pilot-testing, the 45 QPA items were further field surveyed amongst a representative sample of 311 Indian engineers, managers, and workers from manufacturing industries. One-way analysis of variance is performed to examine whether there are differences among engineers, managers, and workers in the understandability or applicability of QPA. Exploratory factor analysis is used to confirm the five-dimensional conceptual framework. Also, infit and outfit measures have been used to check the QPA model fit. To increase confidence, all retained items are tested for goodness-of-fit test. Finally, the functioning of optimal response categorization of the QPA is demonstrated in terms of frequencies, average measures, and standard error.

A five-dimensional conceptual framework is identified. A generic short scale was constructed. Finally, the developed questionnaire provides new insights into how to avoid the trade-offs commonly observed in productivity research.

The newly designed QPA appears as a general measure for productivity attributes which can be used by scholars and practitioners to conduct basic research on productivity improvement in various industries.

The paper aims to study market dynamics in the backdrop of information symmetry and quality perception. The position of high quality products (HQPs) in the market is a focus of this analysis. Also, an attempt is made to unfold the prevailing parametric relationships in the market of developed and developing nations.

Related literature is reviewed and investigation is attempted into market dynamics. System dynamics is used for preliminary modelling and analysis. Simulation runs are carried out to assess the impact of company reputation and advertising on market parameters.

Behaviours of market parameters are unraveled. From using correlation analysis and analytic hierarchy approach, the policy measures to improve the HQP position in the market are revealed.

The study of some aspects of market dynamics is attempted. Further, study and modelling are required to completely understand the market behaviour.

The model has a practical relevance to implement quality perception enhancement by deciding on the policy mix.

This is a start for systems analysis of the market, which may offer a long‐term foundation to market dynamics.