Search results

1 – 3 of 3
Article
Publication date: 5 September 2016

Maria Riaz Hamdani, Sorin Valcea and Michael Ronald Buckley

The purpose of this paper is to focus on the suitability of the multitrait-multimethod (MTMM) matrix approach for examining construct validity in human resource management (HRM…

Abstract

Purpose

The purpose of this paper is to focus on the suitability of the multitrait-multimethod (MTMM) matrix approach for examining construct validity in human resource management (HRM) research. The authors also provide a number of suggestions on how to use MTMM more effectively in HRM research.

Design/methodology/approach

The authors start by presenting a basic introduction to MTMM approach. Next the authors briefly review the limitations of MTMM approach and suggested improvements. The authors elaborate on these limitations by providing HRM examples. To further illustrate these issues, the authors review employment interview research.

Findings

The construct validity analysis in HRM research suffers from three problematic assumptions of the classical MTMM approach: uncorrelated trait-method units, uncorrelated methods, and uncorrelated traits. The review of interview research shows that classical MTMM approach is by far the most popular approach given its relative simplicity and modest sample size requirements. This popularity stresses the significance of the review in highlighting these issues.

Originality/value

Several improvements to quantify the interpretations of MTMM analysis are available to researchers. This review closely examines how these limitations and proposed improvements influence HRM research, thereby making the methodological advances concerning the MTMM approach more accessible to HRM researchers and practitioners.

Details

Personnel Review, vol. 45 no. 6
Type: Research Article
ISSN: 0048-3486

Keywords

Article
Publication date: 2 August 2018

Liviu Florea, Sorin Valcea, Maria Riaz Hamdani and Thomas W. Dougherty

The purpose of this paper is to investigate how individual interviewers’ dispositional cognitive motivations may influence interview interactions and outcomes. More specifically…

2189

Abstract

Purpose

The purpose of this paper is to investigate how individual interviewers’ dispositional cognitive motivations may influence interview interactions and outcomes. More specifically, this study explores the influence of the need for cognition, need for cognitive closure, and accountability on the relationship between first impressions and selection decisions.

Design/methodology/approach

In total, 41 graduate students were assigned the role of interviewers and were tasked to interview 331 undergraduate students at a large Midwestern university. The selection interview was designed to recruit qualified undergraduate students to the MBA program of the university.

Findings

First impressions significantly influenced selection decisions, but did not influence interviewers’ behaviors. Moreover, multilevel analyses reveal that interviewers’ need for cognition and accountability moderate the relationship between first impression and selection decisions, albeit in different direction. Need for cognition strengthens, whereas accountability weakens the relationship between first impression and selection decision.

Research limitations/implications

A potential interviewer bias is apparent, where interviewers high on need for cognition tend to weight first impressions more in the decision process. However, this bias was not directly observable, since interviewers’ behaviors during the interview were not affected by first impressions.

Originality/value

The present study goes beyond previous research on first impressions in the employment interview, finding that dispositional differences account for the tendency to weigh first impressions in the selection decision.

Details

Personnel Review, vol. 48 no. 1
Type: Research Article
ISSN: 0048-3486

Keywords

Abstract

Purpose

This study aims to develop sweet chestnut incorporated corn-based extrudates by the optimization of process conditions.

Design/methodology/approach

The independent process variables for extrusion (blend ratio, barrel temperature, screw speed and feed moisture) were investigated to govern their impact on reliant variables, namely, bulk density, specific mechanical energy, water absorption index, water solubility index, color and hardness. Product and system responses were significantly (p < 0.05) affected by the independent variables. Experimental design with quadratic models experienced a high coefficient of determination (R2 = 0.99).

Findings

Numerical optimization for the development of extrudates resulted in optimum conditions having corn flour: sweet chestnut flour (80:20), barrel temperature (120°C), screw speed (340 rpm) and feed moisture (12%). Fat, moisture and protein contents of the developed extrudates using optimum conditions were significantly (p < 0.05) lower compared to raw materials – corn and sweet chestnut. The packaging of extrudates in aluminum laminates revealed shelf stability of three months at room temperature without deterioration of quality.

Originality/value

Nutritionally rich sweet chestnut extruded products would be an exclusive option to already existing snacks in the market and can facilitate a new sphere in extruded product sector.

Details

Nutrition & Food Science , vol. 53 no. 6
Type: Research Article
ISSN: 0034-6659

Keywords

1 – 3 of 3