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Article
Publication date: 1 October 2018

Nidhi Sehgal and Saboohi Nasim

The purpose of this paper is to present a qualitative analysis of the significant factors that influence graduate employability in information technology (IT) sector. This…

Abstract

Purpose

The purpose of this paper is to present a qualitative analysis of the significant factors that influence graduate employability in information technology (IT) sector. This is imperative, given the rising “employability gap” confronted by this sector, especially in context of India. The key factors that influence graduate employability have been drawn from the literature. This research paper aims to conduct a preliminary validation of these predictors of employability and analyse the contextual relationship between them through Total Interpretive Structural Modelling (TISM) technique (Nasim, 2011; Sushil, 2012). This technique is an innovative version of Interpretive Structural Modelling proposed by Warfield (1973).

Design/methodology/approach

The antecedents of graduate employability have been identified through qualitative analysis of available literature. Further, TISM has been used to derive a structural model and analyse the contextual relationship among these identified antecedents. The structural model has been derived through in-depth interviews with experts that include senior middle management professionals from reputed IT companies in India. The developed TISM model has been further validated through assessment surveys with a larger set of domain experts to enhance the credibility of the obtained results.

Findings

Based on the data collected from the domain experts, eight elements including employability and its seven antecedents were hierarchically modelled into four levels. While all the seven identified factors were endorsed by the industry experts as the drivers of employability, some of the key factors affecting employability emerged to be technical specialties knowledge, technology management skills and communication skills. Furthermore, the developed model has been subsequently validated and accepted based on the results of the assessment surveys conducted with a larger set of domain experts.

Research limitations/implications

The findings are expected to help the graduates seeking jobs in IT and allied sectors and the higher education institutions (HEIs) offering academic programmes in this domain. These findings would enable the graduates to understand the significance of the different knowledge/skill areas that influence their employability and increase the chances of securing job. Also, the HEIs can comprehend the developed model to understand the demands of the employers, the rationale behind it and further align their course curriculum/teaching methodologies in sync with their expectations. The developed model should be put to empirical validation for greater reliability.

Originality/value

The qualitative analysis of the antecedents of graduate employability using TISM technique is an original methodological contribution to the field. Though the TISM technique has been used in research studies across different sectors like e-government (Nasim, 2011), higher education (Prasad and Suri, 2011) and flexible manufacturing systems (Dubey and Ali, 2014), the application of this technique to employability in IT sector in India is a novel contribution.

Details

Higher Education, Skills and Work-Based Learning, vol. 8 no. 4
Type: Research Article
ISSN: 2042-3896

Keywords

Article
Publication date: 12 October 2010

Saboohi Nasim and Sushil

Managing e‐government is invariably managing change. Despite plethora of literature on change management, the rate of success of e‐government projects is dismal…

2064

Abstract

Purpose

Managing e‐government is invariably managing change. Despite plethora of literature on change management, the rate of success of e‐government projects is dismal, especially in developing countries. Deriving from strategy and change management literature, this paper seeks to present a new approach to strategize for better change outcomes in e‐government domain. A new construct of “continuity” is introduced and proposed to be managed concurrently with change forces to attain better delivery of strategic deliverables in e‐government projects.

Design/methodology/approach

Continuity and change forces affecting e‐government domain identified from the literature are statistically validated by conducting an “idea engineering” exercise. For this response from e‐government experts to a structured questionnaire is elicited to validate the forces, which are further modeled in the strategic framework proposed.

Findings

Drawing from strategy and change management literature, it is hypothesized that “managing change in e‐government can be better leveraged by consciously and concurrently managing continuity”. Based on expert survey, out of the initial six continuity and eight change forces proposed, only one continuity force has been dropped and the rest are further modeled in the framework. Propositions for future research and implications for policy makers and implementers are highlighted.

Practical implications

Given the low rate of success of e‐government initiatives, especially in developing countries, this framework may serve as an important approach to strategizing in e‐government domain and may be of value to not just the policy makers but also to other stakeholders like project planners, implementers and also the beneficiaries.

Originality/value

The value of this paper lies in the application of the concept of strategic management of continuity and change in e‐government domain; identification of continuity and change forces in e‐government; and proposing a model linking the “constructs of continuity and change” forces with strategic deliverables of e‐government.

Details

Transforming Government: People, Process and Policy, vol. 4 no. 4
Type: Research Article
ISSN: 1750-6166

Keywords

Content available
Article
Publication date: 12 October 2010

Zahir Irani and Yogesh Dwivedi

330

Abstract

Details

Transforming Government: People, Process and Policy, vol. 4 no. 4
Type: Research Article
ISSN: 1750-6166

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