Search results

“Know thyself” helps one to decide the career goal of his/her life and enables one to become self-concordant. In this context, the present work aims to discern the childhood interests (CI) of the HR professionals vis-à-vis their relevance.

The current study is grounded on two theoretical perspectives such as Socio-Cognitive Career Theory (SCCT) and Holland Theory of Career Choice (HTCC). In this regard, a mixed methodology has been applied. The research has been carried out in two phases. In the first phase, a focused group of experienced HR professionals was interviewed to understand their CI and their relevance to the HR profession through a qualitative analysis method such as narrative analysis. In the second phase, an Intuitionistic Fuzzy Number-based Full Consistency Method (FUCOM) is applied to find out the dominant CI based on the ratings given by 423 Indian HR professionals.

All professionals agreed that their CI have helped them perform in their profession. The research identifies five themes or main attributes of personality: Creative (Aesthetic-Non Verbal/Cultural), Communicative (Verbal/ Expressive Activities), People friendliness (Social Contribution), Socially Inclusive (Sociological leadership interest) and Physical Activity (Kinesthetic interests) with 24 subattributes (i.e. childhood interests). It is found that intrinsic interests in societal contributions have been a dominant feature since the childhood days of HR professionals. In all cases, FUCOM shows a very small DFC value <0.00005.

The research provides an important direction to the decision-makers for policy making and aspiring professionals an essential impetus to career planning.

This study is a rare one to discern CI using a mixed methodology for Indian HR professionals.

Properly planned road illumination systems are collectively a public wealth and the commissioning of such systems may require extensive planning, simulation and testing. The purpose of this simulative work is to offer a simple approach to facilitate luminance-based road lighting calculations that can be easier to comprehend and apply to practical designing problems when compared to complex multi-objective algorithms and other convoluted simulative techniques.

Road illumination systems were photometrically simulated with a created model in a validated software platform for specified system design configurations involving high-pressure sodium (HPS) and light-emitting diode (LED) luminaires. Multiple regression analyses were conducted with the simulatively obtained data set to propound a linear model of estimating average luminance, overall uniformity of luminance and energy efficiency of lighting installations, and the simulatively obtained data set was used to explore luminaire power–road surface average luminance characteristics for common geometric design configurations involving HPS and LED luminaires, and four categories of road surfaces.

The six linear equations of the propounded linear model were found to be well-fitted with their corresponding observation sets. Moreover, it was found that the luminaire power–road surface average luminance characteristics were well-fitted with linear trendlines and the increment in road surface average luminance level per watt increment of luminaire power was marginally higher for LEDs.

This neoteric approach of estimating road surface luminance parameters and energy efficiency of lighting installations, and the compendia of luminaire power–road surface average luminance characteristics offer new insights that can prove to be very useful for practical purposes.